Most prostate cancer (PCa) deaths result from progressive failure in standard androgen deprivation therapy (ADT), leading to metastatic castration-resistant PCa (mCRPC); however, the mechanism and key players leading to this are not fully understood. While studying the role of tousled-like kinase 1 (TLK1) and never in mitosis gene A (NIMA)-related kinase 1 (NEK1) in a DNA damage response (DDR)-mediated cell cycle arrest in LNCaP cells treated with bicalutamide, we uncovered that overexpression of wt-NEK1 resulted in a rapid conversion to androgen-independent (AI) growth, analogous to what has been observed when YAP1 is overexpressed. We now report that overexpression of wt-NEK1 results in accumulation of YAP1, suggesting the existence of a TLK1>NEK1>YAP1 axis that leads to adaptation to AI growth. Further, YAP1 is co-immunoprecipitated with NEK1. Importantly, NEK1 was able to phosphorylate YAP1 on six residues in vitro, which we believe are important for stabilization of the protein, possibly by increasing its interaction with transcriptional partners. In fact, knockout (KO) of NEK1 in NT1 PCa cells resulted in a parallel decrease of YAP1 level and reduced expression of typical YAP-regulated target genes. In terms of cancer potential implications, the expression of NEK1 and YAP1 proteins was found to be increased and correlated in several cancers. These include PCa stages according to Gleason score, head and neck squamous cell carcinoma, and glioblastoma, suggesting that this co-regulation is imparted by increased YAP1 stability when NEK1 is overexpressed or activated by TLK1, and not through transcriptional co-expression. We propose that the TLK1>NEK1>YAP1 axis is a key determinant for cancer progression, particularly during the process of androgen-sensitive to -independent conversion during progression to mCRPC.The purpose of this paper is to investigate the problem of 3D human tracking in complex environments using a particle filter with images captured by a catadioptric vision system. This issue has been widely studied in the literature on RGB images acquired from conventional perspective cameras, while omnidirectional images have seldom been used and published research works in this field remains limited. In this study, the Riemannian varieties was considered in order to compute the gradient on spherical images and generate a robust descriptor used along with an SVM classifier for human detection. Original likelihood functions associated with the particle filter are proposed, using both geodesic distances and overlapping regions between the silhouette detected in the images and the projected 3D human model. Our approach was experimentally evaluated on real data and showed favorable results compared to machine learning based techniques about the 3D pose accuracy. Thus, the Root Mean Square Error (RMSE) was measured by comparing estimated 3D poses and truth data, resulting in a mean error of 0.065 m when walking action was applied.The green plum is rich in amino acids, lipids, inorganic salts, vitamins, and trace elements. It has high nutritional value and medicinal value and is very popular among Chinese people. However, green plums are susceptible to collisions and pests during growth, picking, storage, and transportation, causing surface defects, affecting the quality of green plums and their products and reducing their economic value. In China, defect detection and grading of green plum products are still performed manually. Traditional manual classification has low accuracy and high cost, which is far from meeting the production needs of green plum products. In order to improve the economic value of green plums and their products and improve the automation and intelligence level of the product production process, this study adopted deep learning methods based on a convolutional neural network and cost-effective computer vision technology to achieve efficient classification of green plum defects. First, a camera and LEDs were used creased by 1.87 and 6.21 ms, respectively, which has certain advantages.Zootherapy is accepted all around the globe not only in ancient cultures but different animal derived medicines are also part of the practice in the modern health care systems. The present study assessed the traditional ethnozoological usage of wild animals by local inhabitants in Ladakh region, India, and the reference data for scientific approaches for protection of faunal diversity in trans-Himalayas. The ethnozoological documentation of the animals in Ladakh was carried out through semistructured and close-ended questionnaire surveys and interviews. Multivariate ecological community analysis was used to elucidate the relationship between ethnozoological usage and animal species.  https://www.selleckchem.com/products/PP242.html  Our results showed three animal usage clusters with 32% similarity. Moreover, the similarity in animal usage between digging tools, trophy, handle of tools, decoration, and matting, showed less than 32% of similarity. The highest priority of local people was for food followed by decoration and medicinal usage. The most frequently used animal parts were meat followed by fur and horn. Medicinal uses of 48% of the reported species, i.e., Alectoris chukar (chukar), Cuon alpinus (Asiatic wild dog), Lepus oiostolus (hares), Marmota himalayana (marmots), Ovis aries vignei (Ladakh urial), Pantholops hodgsonii (Tibetan antelope), Procapra picticaudata (Tibetan gazelle), Pseudois nayaur (blue sheep), Tetraogallus himalayensis (Himalayan snow), Tetraogallus tibetanus (Tibetan snow cock), and Lutra lutra (common otter) were reported for the first time from this region. Our study provides innovative information regarding the ethnozoological knowledge in the Ladakh region and reference data for policymakers, researchers, land managers, common public, and the other stakeholders to develop logical and scientific approaches for sustainable use of faunal diversity in hotspot regions like trans-Himalayas and other similar biodiversity-rich sites.Although changes in root architecture in response to the environment can optimize mineral and water nutrient uptake, mechanisms regulating these changes are not well-understood. We investigated whether P deprivation effects on root development are mediated by abscisic acid (ABA) and its interactions with other hormones. The ABA-deficient barley mutant Az34 and its wild-type (WT) were grown in P-deprived and P-replete conditions, and hormones were measured in whole roots and root tips. Although P deprivation decreased growth in shoot mass similarly in both genotypes, only the WT increased primary root length and number of lateral roots. The effect was accompanied by ABA accumulation in root tips, a response not seen in Az34. Increased ABA in P-deprived WT was accompanied by decreased concentrations of cytokinin, an inhibitor of root extension. Furthermore, P-deficiency in the WT increased auxin concentration in whole root systems in association with increased root branching. In the ABA-deficient mutant, P-starvation failed to stimulate root elongation or promote branching, and there was no decline in cytokinin and no increase in auxin.