This comprehensive review endeavors to illuminate the nuanced facets of linalool, a prominent monoterpene found abundantly in essential oils, constituting a massive portion of their composition. The biomedical relevance of linalool is a key focus, highlighting its therapeutic attributes observed through anti-nociceptive effects, anxiolytic properties, and behavioral modulation in individuals affected by dementia. These findings underscore the compound\'s potential application in biomedical applications. This review further explores contemporary formulations, delineating the adaptability of linalool in nano-emulsions, microemulsions, bio-capsules, and various topical formulations, including topical gels and lotions. This review covers published and granted patents between 2018-2024 and sheds light on the evolving landscape of linalool applications, revealing advancements in dermatological, anti-inflammatory, and antimicrobial domains.

This paper presents new evidence on knowledge flows in the Beijing-Tianjin-Hebei region of China, involving 43 cities (districts) in the Beijing-Tianjin-Hebei region, based on the invention patent transfer data from the State Intellectual Property Office of China. First, the characteristics of technology flows in the Beijing-Tianjin-Hebei region are analyzed in terms of changes in the number of flows, types of flowing subjects and spatial distribution characteristics. Then, a multi-level patent technology flow network in the Beijing-Tianjin-Hebei region was constructed, and the structural characteristics and node characteristics of each level network were explored separately. The key findings of the study are as follows. (1) The number of patented technology flows has been growing over time, showing obvious phase characteristics during the study period. As a whole, the intra-city (district) technology flow in the Beijing-Tianjin-Hebei region is higher than the inter-city (district). (2) The multi-level patent technology flow network in the Beijing-Tianjin-Hebei region shows dynamic characteristics, with more and more mobile subjects participating in the patent technology flow network, some network nodes becoming closer to each other, and the trend of small group technology flow increasing significantly. (3) Enterprises are the core hub of the patent technology flow network in Beijing-Tianjin-Hebei region. Individual invention patent technology transfer also occupies a high proportion and the participation of universities and colleges in the patent technology flow network in the Beijing-Tianjin-Hebei region is gradually increasing. (4) Over time, the flow of patent technology in the 43 cities (districts) in the Beijing-Tianjin-Hebei region has gradually become active and no longer relies excessively on a particular city (district) for patent technology transfer.

In almost every country, patents need to be renewed multiple times after they are granted. A patentee assesses the value of the patent and then pays a renewal fee to keep it active for another stipulated period. The factors that characterize the value of a patent is subjective. This paper aims to address the research gap of building an accurate model for predicting the renewal life (often considered as a substitute for the patent value) of Indian patents, and identification of significant factors that influence the renewal life. This study uses an extensive data set collected from the Indian Patent Office for all granted patents filed between 1995 and 2005. The popular statistical and machine learning algorithms do not result in accurate predictive models, because the patent renewal life distribution (at least for the Indian patents) shows unusual spikes at the two extreme values, which makes the modeling task more challenging. We propose a new two-stage hybrid model by combining an efficient multi-class classifier and a binomial regression model for predicting the complex renewal data distribution. We conducted a comparative analysis of the proposed model with several state-of-the-art machine learning and statistical models. The results show that the proposed hybrid model gives 90% accuracy as compared to the best competitor which gives only 40% accuracy.

UNASSIGNED: Protein tyrosine phosphatases (PTPs), essential and evolutionarily highly conserved enzymes, govern cellular functions by modulating tyrosine phosphorylation, a pivotal post-translational modification for signal transduction. The recent strides in phosphatase drug discovery, leading to the identification of selective modulators for enzymes, restoring interest in the therapeutic targeting of protein phosphatases.
UNASSIGNED: The compilation of patents up to the year 2023 focuses on the efficacy of various classes of Tyrosine phosphatases and their inhibitors, detailing their chemical structure and biochemical characteristics. These findings have broad implications, as they can be applied to treating diverse conditions like cancer, diabetes, autoimmune disorders, and neurological diseases. The search for scientific articles and patent literature was conducted using well known different platforms to gather information up to 2023.
UNASSIGNED: The latest improvements in protein tyrosine phosphatase (PTP) research include the discovery of new inhibitors targeting specific PTP enzymes, with a focus on developing allosteric site covalent inhibitors for enhanced efficacy and specificity. These advancements have not only opened up new possibilities for therapeutic interventions in various disease conditions but also hold the potential for innovative treatments. PTPs offer promising avenues for drug discovery efforts and innovative treatments across a spectrum of health conditions.

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UNASSIGNED: Histone deacetylases (HDACs) are a class of zinc-dependent enzymes. They maintain acetylation homeostasis, with numerous biological functions and are associated with many diseases. HDAC3 strictly requires multi-subunit complex formation for activity. It is associated with the progression of numerous non-communicable diseases. Its widespread involvement in diseases makes it an epigenetic drug target. Preexisting HDAC3 inhibitors have many uses, highlighting the need for continued research in the discovery of HDAC3-selective inhibitors.
UNASSIGNED: This review provides an overview of 24 patents published from 2010 to 2023, focusing on compounds that inhibit the HDAC3 isoenzyme.
UNASSIGNED: HDAC3-selective inhibitors - pivotal for pharmacological applications, as single or combination therapies - are gaining traction as a strategy to move away from complications laden pan-HDAC inhibitors. Moreover, there is an unmet need for HDAC3 inhibitors with alternative zinc-binding groups (ZBGs) because some preexisting ZBGs have limitations related to toxicity and side effects. Difficulties in achieving HDAC3 selectivity may be due to isoform selectivity. However, advancements in computer-aided drug design and experimental data of HDAC3 3D co-crystallized models could lead to the discovery of novel HDAC3-selective inhibitors, which bear alternative ZBGs with balanced selectivity for HDAC3 and potency.

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Erlotinib (ELB) is a tyrosine kinase inhibitor that targets the activity of Epidermal Growth Factor Receptor (EGFR) protein found in both healthy and cancerous cells. It binds reversibly to the ATP-binding site of the EGFR tyrosine kinase. ELB was approved by the US Food and Drug Administration (FDA) in 2004 for advanced non-small cell lung cancer (NSCLC) treatment in patients who relapsed after at least one other therapy. It was authorized for use with gemcitabine in 2005 for the treatment of advanced pancreatic cancer. In addition to lung cancer, ELB has shown promising results in the treatment of other cancers, including breast, prostate, colon, pancreatic, cervical, ovarian, and head and neck cancers. However, its limited water solubility, as a BCS class II drug, presents biopharmaceutical problems. Nanoformulations have been developed to overcome these issues, including increased solubility, controlled release, enhanced stability, tumor accumulation, reduced toxicity, and overcoming drug resistance. In older patients, ELB management should involve individualized dosing based on age-related changes in drug metabolism and close monitoring for adverse effects. Regular assessments of renal and hepatic functions are essential. This review provides an overview of ELB\'s role of ELB in treating various cancers, its associated biopharmaceutical issues, and the latest developments in ELB-related nanotechnology interventions. It also covers ELB patents granted in previous years and the ongoing clinical trials.

Academic freedom is a critical norm of science. Despite the widely postulated importance of academic freedom, the literature attests to a dearth of research on the topic. Specifically, we know little about how academic freedom relates to indicators of societal progress, such as innovation. We address this research gap by empirically assessing the impact of academic freedom on the quantity (patent applications) and quality (patent citations) of innovation output using a comprehensive sample of 157 countries over the 1900-2015 period. We find that improving academic freedom by one standard deviation increases patent applications by 41% and forward citations by 29%. The results are robust across a range of different specifications. Our findings constitute an alarming plea to policymakers: global academic freedom has declined over the past decade for the first time in the last century and our estimates suggest that this decline poses a substantial threat to the innovation output of countries in terms of both quantity and quality.