Ask about this productRelated genes to: BIVM Blocking Peptide
- Gene:
- BIVM NIH gene
- Name:
- basic, immunoglobulin-like variable motif containing
- Previous symbol:
- -
- Synonyms:
- FLJ20159
- Chromosome:
- 13q33.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-08-16
- Date modifiied:
- 2015-08-24
Related products to: BIVM Blocking Peptide
Related articles to: BIVM Blocking Peptide
- Extracts of aromatic medicinal plants have been extensively studied regarding their numerous bioactivities. However, despite being highly used by humans, studies on the safety of these extracts for animal use are scarce. In this study, we aim to contribute to the determination of the safety profile of plant extracts by focusing on the reproductive toxicity of hydrolates (a by-product of essential oils production) of four endogenous Portuguese plants-, , , and -by studying their effects on bovine oocytes and spermatozoa. To achieve our aims, we determined the oocyte maturation and viability rate in the bovine in vitro maturation test (bIVM) and the bovine sperm viability using the eosin-nigrosin test, in the presence of five concentrations of each hydrolate at half-log intervals (% of culture media). We found that hydrolates did not affect oocyte maturation or viability (maximum concentration tested: 0.2%, /). Regarding the sperm viability test, we found that and hydrolates impaired sperm viability ( < 0.05) (maximum concentration tested: 0.2%, /), in comparison with the negative control. In summary, we found that and hydrolates were safe regarding oocyte maturation, oocyte viability, and sperm viability, being candidates to be included in bovine husbandry as feeding additives. - Source: PubMed
Publication date: 2025/09/29
Dias Sandra Duarte-da-FonsecaPinto-de-Andrade LuísRolo JoanaGaspar CarlosGomes-Ruivo PatríciaOliveira Ana SofiaFerreira Sandra SaraivaPalmeira-de-Oliveira RitaMartinez-de-Oliveira JoséGonçalves José CarlosDelgado FernandaPalmeira-de-Oliveira Ana - Deep neural networks for real-time video matting suffer significant computational limitations on edge devices, hindering their adoption in widespread applications such as online conferences and short-form video production. Binarization emerges as one of the most common compression approaches with compact 1-bit parameters and efficient bitwise operations. However, accuracy and efficiency limitations exist in the binarized video matting network due to its degenerated encoder and redundant decoder. Following a theoretical analysis based on the information bottleneck principle, the limitations are mainly caused by the degradation of prediction-relevant information in the intermediate features and the redundant computation in prediction-irrelevant areas. We present BiVM, an accurate and resource-efficient Binarized neural network for Video Matting. First, we present a series of binarized computation structures with elastic shortcuts and evolvable topologies, enabling the constructed encoder backbone to extract high-quality representations from input videos for accurate prediction. Second, we sparse the intermediate feature of the binarized decoder by masking homogeneous parts, allowing the decoder to focus on representation with diverse details while alleviating the computation burden for efficient inference. Furthermore, we construct a localized binarization-aware mimicking framework with the information-guided strategy, prompting matting-related representation in fullprecision counterparts to be accurately and fully utilized. Comprehensive experiments show that the proposed BiVM surpasses alternative binarized video matting networks, including state-of-the-art (SOTA) binarization methods, by a substantial margin. Moreover, our BiVM achieves significant savings of 14.3x and 21.6x in computation and storage costs, respectively. We also evaluate BiVM on ARM CPU hardware. - Source: PubMed
Qin HaotongLiu XianglongMa XudongKe LeiZhang YulunLuo JieMagno Michele - The identification of reliable prognostic markers is crucial for optimizing patient management and improving clinical outcomes in clear cell renal cell carcinoma (ccRCC). - Source: PubMed
Publication date: 2024/07/18
Yang Dongsheng - The choice of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) is controversial. This study aims to provide a basis for clinical treatment selection by establishing a predictive model for the efficacy of neoadjuvant immunochemotherapy (NICT). - Source: PubMed
Publication date: 2024/04/25
Yehan ZhouSheng QinHong YangJiayu LiJun HouJuan JiMin ShiJiaxin YanShangzhi HuYi WangQifeng WangXuefeng LengWenwu HeXueyan ChengYang LiuZongyao Huang - Bronchopulmonary dysplasia (BPD) is a common chronic respiratory disease in preterm infants caused by multifactorial etiology. Genetic factors are involved in the occurrence of BPD, but studies have found that candidate genes have poor reproducibility and are influenced by ethnic heterogeneity; therefore, more exploration is still needed. We performed whole-exon sequencing in 34 preterm infants with BPD and 32 non-BPD control neonates. The data were analyzed and interpreted by Fisher difference comparison, PLINK and eQTL association analysis, KEGG and GO enrichment analysis, STRING tool, Cytoscape software, ProtParam tool, HOPE online software, and GEOR2 analysis on NCBI GEO dataset. BPD has a highly heterogeneity in different populations, and we found 35 genes overlapped with previous whole-exon sequencing studies, such as APOB gene. Arterial and epithelial cell development and energy metabolism pathways affect BPD. In this study, 24 key genes were identified, and BIVM rs3825519 mutation leads to prolonged assisted ventilation in patients with BPD. A novel DDAH1 mutation site (NM_012137: exon1: c.89 T > G: p.L30R) was found in 9 BPD patients. - Source: PubMed
Publication date: 2023/02/09
Luo XiZhao MinChen ChengLin FengjiLi XiaodongHuang HaiyunDou LeiFeng JinxingXiao ShanqiuLiu DongHe JunliYu Jialin