Comet Assay Tank for 40 Slides
- Known as:
- Comet Assay Tank 40 Slides
- Catalog number:
- CSL-COM40
- Category:
- Peptides
- Supplier:
- Cleaver
- Gene target:
- Comet Assay Tank for 40 Slides
Related genes to: Comet Assay Tank for 40 Slides
- Gene:
- TANK NIH gene
- Name:
- TRAF family member associated NFKB activator
- Previous symbol:
- TRAF2
- Synonyms:
- I-TRAF
- Chromosome:
- 2q24.2
- Locus Type:
- gene with protein product
- Date approved:
- 1997-06-12
- Date modifiied:
- 2015-11-19
Related products to: Comet Assay Tank for 40 Slides
Related articles to: Comet Assay Tank for 40 Slides
- To improve the convergence issues of deep reinforcement learning in the control of vehicle semi-active suspension, and enhance the control effectiveness of the vehicle's semi-active suspension, a Twin Delayed Deep Deterministic-based control framework tailored for the high-dimensional nonlinear dynamics of the vehicle semi-active suspension model is proposed. Rather than merely applying standard deep reinforcement learning, this study introduces a domain-specific state-action mapping mechanism and a multi-objective reward function to physically constrain the neural network outputs and coordinate the full-vehicle dynamic responses. The simulation program for 7-degree-of-freedom vehicle semi-active suspension model embedded in the proposed control method is developed using MATLAB software. The validity of the proposed control method is verified using the developed program under different road roughness and speeds. The results indicate that compared to the passive suspension the classical linear Skyhook control method and the Fuzzy control method the proposed Twin Delayed Deep Deterministic based method achieves superior control effectiveness. Specifically in terms of the vehicle body vertical acceleration the proposed method achieves a reduction of 49.41% compared to the passive suspension and 9.33% compared to the Skyhook method on a Class A road at 60 km/h a reduction of 24.82% compared to the passive suspension on a Class A road at 120 km/h and a reduction of 3.19% compared to the Skyhook method on a Class B road at 60 km/h. Furthermore compared to the traditional Fuzzy control method the proposed method demonstrates superior vibration suppression effectiveness across all evaluated operating conditions achieving significantly lower frequency weighted vertical root mean square accelerations. Furthermore the power spectral density analysis demonstrates that the proposed method significantly suppresses the low frequency resonance of the sprung mass across varying road conditions compared to the passive Skyhook and Fuzzy methods, further validating its superior broadband vibration isolation capability. This demonstrates that the Twin Delayed Deep Deterministic-based control method for the vehicle semi-active suspension model has the advantages of fast convergence speed and good control effectiveness under road surface excitation. - Source: PubMed
Publication date: 2026/09/25
Wan YongjunWang XiaomingZhi GangYang LeiWang JuyeZhang XiangchengZhang Yan - This article proposes a deep block-wise semi-nonnegative matrix factorization (DBSNMF) model for multilevel fault information fusion in industrial fault detection and diagnosis (FDD). DBSNMF first partitions variables into subblocks through semi-nonnegative matrix factorization (Semi-NMF) and Fast Unfolding to extract localized fault-related features. In each variable subblock, a deep Semi-NMF (DSNMF) architecture is built by stacking multilayer Semi-NMF models over concatenated feature and residual subspaces, thereby jointly exploiting information from both spaces. Then, we design a multilevel information fusion approach based on Bayesian inference and a fault-highlighted weighting strategy to fuse layer-, block-, and subspace-level information into a comprehensive fault detection statistic and a unified diagnosis index. Experiments on the continuous stirred tank reactor (CSTR) and Tennessee Eastman (TE) processes show that DBSNMF achieves the highest fault detection rates (FDRs) and the best abnormal-variable diagnosis performance. - Source: PubMed
Publication date: 2026/09/25
Kong XiangyinZhang BingxinChai SidaJiang Xiaoyu - In nest-breeding fish species, olfactory signals can provide an effective means for males to attract distant females to nests without leaving them. Previous studies have shown that substances produced in the male kidney may be involved in female chemoattraction in typical nest-breeding fishes, including members of Gasterosteidae and Cottidae. However, this function, particularly in female attraction, has not been investigated in Gobiidae. In this study, we used the freshwater goby Rhinogobius flumineus to examine changes in male kidney size and urine accumulation in the bladder during the breeding season, as well as the ability of male kidney extracts to attract females. The kidneys of males approximately double in size between April (just before the breeding season) and May (during the breeding season). When two males and one nesting site were placed in the tank during the breeding season, only the male that occupied the nesting site accumulated urine in its bladder. In choice experiments using a Y-maze, ovulating females showed a tendency to enter the channel containing kidney extract from breeding-season males first more frequently, and spent significantly more time in the channel than the channels containing the control or female kidney extract. These results suggest that, in male R. flumineus, kidneys enlargement during the breeding season may be associated with the production of olfactory signals that attract ovulating conspecific females to the nest, which are subsequently released in urine. - Source: PubMed
Publication date: 2026/09/25
Funazaki HirotoNagaya MikiNakanishi HarutoKoya Yasunori - LNG tank truck accidents can expose drivers, emergency responders, road users, and nearby populations to cryogenic release, fire, explosion, and oxygen-deficient environments, creating potentially serious health hazards. This study analyses 52 LNG tank truck transportation accident cases reported in China during 2015-2024 to examine whether a reproducible text-mining workflow can complement manual accident review and support health-hazard identification. The reports were segmented into 1,707 analytical text units, of which 1,393 valid units were retained after preprocessing. TF-IDF was used to identify discriminative terms and Latent Dirichlet Allocation was used to derive five latent themes, with topic selection based on perplexity, coherence, and semantic interpretability. Manual semantic validation was then used to distinguish statistical co-occurrence from conceptual or causal relationships. The resulting themes describe accident and response processes, human and management factors, external environmental conditions, equipment and facilities, and institutional and regulatory factors. Accident evidence was further interpreted in relation to documented or technically established pathways leading to frostbite, thermal burns, blast-related trauma, and asphyxiation. The findings demonstrate the value of combining reproducible text screening with expert interpretation for accident learning, health-hazard prevention, and risk management. The study does not estimate population-level health outcomes, health-economic effects, or the health effects of the low-carbon energy transition. - Source: PubMed
Publication date: 2026/09/10
Li NaTang YidanZhao Jianghong - Two mobile agents, modeled as points in the plane moving at speed 1, have to get at a distance at most 1 from each other. This task is known as approach or rendezvous in the plane. An adversary initially places both agents at distinct points, called their bases, at distance at most , and wakes them up at possibly different times. Each of the agents has a fuel tank that allows them to traverse a trajectory of length , and can be replenished at the base of the agent. The algorithm of each agent consists of a series of actions which are either moves at a chosen distance in a chosen direction or staying idle for a chosen period of time. For a given instance of the approach task, the execution time of an approach algorithm is the length of the period between the start of the later agent and the moment of approach. Our goal is to design approach algorithms with optimal time complexity . We consider two independent . One of them is , i.e., agents start simultaneously, and the other is : agents have compatible compasses, showing the same North direction. Our main result is establishing optimal time complexity of the approach problem with restricted fuel tanks. It turns out that this optimal complexity heavily depends on the above coherence assumptions. If both of them are satisfied then approach can be performed in time and we show that this complexity is optimal. If any of the two coherence assumptions is missing then approach can be performed in time and we prove that this order of magnitude cannot be improved. Our main technical contributions are lower bounds showing that, for each of the considered scenarios, our fairly natural approach algorithms are, in fact, optimal. - Source: PubMed
Publication date: 2026/09/23
Ganczorz AdamJurdzinski TomaszPelc AndrzejStachowiak Grzegorz