How animals refine migratory behavior over their lifetime (i.e., the ontogeny of migration) is an enduring question with important implications for predicting the adaptive capacity of migrants in a changing world. Yet, our inability to monitor the movements of individuals from early life onward has limited our understanding of the ontogeny of migration. The exploration-refinement hypothesis posits that learning shapes the ontogeny of migration in long-lived species, resulting in greater exploratory behavior early in life followed by more rapid and direct movement during later life. We test the exploration-refinement hypothesis by examining how white storks (Ciconia ciconia) balance energy, time, and information as they develop and refine migratory behavior during the first years of life. Here, we show that young birds reduce energy expenditure during flight while also increasing information gain by exploring new places during migration. As the birds age and gain more experience, older individuals stop exploring new places and instead move more quickly and directly, resulting in greater energy expenditure during migratory flight. During spring migration, individuals innovated novel shortcuts during the transition from early life into adulthood, suggesting a reliance on spatial memory acquired through learning. These incremental refinements in migratory behavior provide support for the importance of individual learning within a lifetime in the ontogeny of long-distance migration.

Recent studies have indicated the significant involvement of the gut microbiome in both human physiology and pathology. Additionally, therapeutic interventions based on microbiome approaches have been employed to enhance overall health and address various diseases including aging and neurodegenerative disease (ND). Researchers have explored potential links between these areas, investigating the potential pathogenic or therapeutic effects of intestinal microbiota in diseases. This article provides a summary of established interactions between the gut microbiome and ND. Post-biotic is believed to mediate its neuroprotection by elevating the level of dopamine and reducing the level of α-synuclein in substantia nigra, protecting the loss of dopaminergic neurons, reducing the aggregation of NFT, reducing the deposition of amyloid β peptide plagues and ameliorating motor deficits. Moreover, mediates its neuroprotective activity by inhibiting the inflammatory response (decreasing the expression of TNFα, iNOS expression, free radical formation, overexpression of HIF-1α), apoptosis (i.e. active caspase-3, TNF-α, maintains the level of Bax/Bcl-2 ratio) and promoting BDNF secretion. It is also reported to have good antioxidant activity. This review offers an overview of the latest findings from both preclinical and clinical trials concerning the use of post-biotics in ND.

Unexpected metabolism could lead to the failure of many late-stage drug candidates or even the withdrawal of approved drugs. Thus, it is critical to predict and study the dominant routes of metabolism in the early stages of research.We describe the development and validation of a \'WhichEnzyme\' model that accurately predicts the enzyme families most likely to be responsible for a drug-like molecule\'s metabolism. Furthermore, we combine this model with our previously published regioselectivity models for Cytochromes P450, Aldehyde Oxidases, Flavin-containing Monooxygenases, UDP-glucuronosyltransferases and Sulfotransferases - the most important Phase I and Phase II drug metabolising enzymes - and a \'WhichP450\' model that predicts the Cytochrome P450 isoform(s) responsible for a compound\'s metabolism.The regioselectivity models are based on a mechanistic understanding of these enzymes\' actions and use quantum mechanical simulations with machine learning methods to accurately predict sites of metabolism and the resulting metabolites. We train heuristics based on the outputs of the \'WhichEnzyme\', \'WhichP450\', and regioselectivity models to determine the most likely routes of metabolism and metabolites to be observed experimentally.Finally, we demonstrate that this combination delivers high sensitivity in identifying experimentally reported metabolites and higher precision than other methods for predicting in vivo metabolite profiles.

Due to COVID-19, the spread of diseases through air transport has become an important issue for public health in countries globally. Moreover, mass transportation (such as air travel) was a fundamental reason why infections spread to all countries within weeks. In the last 2 years in this research area, many studies have applied machine learning methods to predict the spread of COVID-19 in different environments with optimal results. These studies have implemented algorithms, methods, techniques, and other statistical models to analyze the information in accuracy form. Accordingly, this study focuses on analyzing the spread of COVID-19 in the international airport network. Initially, we conducted a review of the technical literature on algorithms, techniques, and theorems for generating routes between two points, comprising an analysis of 80 scientific papers that were published in indexed journals between 2017 and 2021. Subsequently, we analyzed the international airport database and information on the spread of COVID-19 from 2020 to 2022 to develop an algorithm for determining airport routes and the prevention of disease spread (DetARPDS). The main objective of this computational algorithm is to generate the routes taken by people infected with COVID-19 who transited the international airport network. The DetARPDS algorithm uses graph theory to map the international airport network using geographic allocations to position each terminal (vertex), while the distance between terminals was calculated with the Euclidian distance. Additionally, the proposed algorithm employs the Dijkstra algorithm to generate route simulations from a starting point to a destination air terminal. The generated routes are then compared with chronological contagion information to determine whether they meet the temporality in the spread of the virus. Finally, the obtained results are presented achieving a high probability of 93.46% accuracy for determining the entire route of how the disease spreads. Above all, the results of the algorithm proposed improved different computational aspects, such as time processing and detection of airports with a high rate of infection concentration, in comparison with other similar studies shown in the literature review.

There is a lack of information on the number of horses shipped globally by air annually, the purpose of air travel and the routes of their journeys. This pilot study aimed to collect retrospective data on the international movements of horses by air from 2018 to 2021, describe their routes, and identify the possible effects of the coronavirus SARS-CoV-2 (COVID-19) pandemic. Equine transport data was gathered from 7 of 15 international shipping companies (ISCs) and 5 of 8 airlines contacted by email. The seven ISCs performed a median of 10,401 horse movements annually, ranging from a few hundred to several thousand movements per company, most frequently in Europe (Western and Northern Europe), Middle East/Africa (Middle East, Southern Africa), Asia Pacific (Australia), and the Americas (North and South America). The five airlines performed a median of 10,656 horse movements annually, importing and exporting horses to and from Europe, North America, Australasia, and the Middle East. For all but one airline, the number of horse movements decreased in 2020. The number and journey characteristics of horses transported by air require further scientific studies focused on the epidemiological and welfare risks unique to this type of transport to enable the development and implementation of best practices and regulations based on objective evidence.

Heteroatomic zeolites as an important class of zeolites, have been widely applied in industrially catalytic processes due to their unique properties. As one of the most representative heteroatomic zeolites, titanosilicate zeolites have been extensively used in the selective oxidations of organic substrates with H2O2 such as cyclohexanone ammoximation, epoxidation of alkenes, and phenol hydroxylation. In this review, recent advances in the synthesis of TS-1 zeolite are briefly summarized, including use of low-cost raw materials (organic templates, silicon, and titanium sources), development of new synthesis routes (post-treatment synthesis, dry-gel conversion synthesis, solvent-free synthesis, and microwave-assisted synthesis), and new strategy for enhanced mass transfer in TS-1 crystals (synthesis of hierarchical and nanosized TS-1 zeolite). This review might help researchers to have a deep understanding on the synthesis of TS-1 zeolite and provide a new opportunity for the design and preparation of highly efficient TS-1 catalysts in the future.

During horse transportation, the journey conditions are considered a welfare risk. This study aimed to document journeys, journey conditions, and welfare status of handled horses on arrival at two different slaughterhouses in Northern and Southern Italy, to find possible associations between journey conditions and welfare problems. The welfare status of 613 draft-breed and light-breed horses from 32 different journeys was evaluated on arrival at the slaughterhouses with a standardized protocol, using animal-based (ABMs) and environmental-based (EBMs) measures. The drivers’ skills and vehicle characteristics were found to be mostly compliant with EC 1/2005. The horses traveled in single bays, 90° to the direction of travel for an average journey duration of 26.5 ± 14 h. On arrival at the slaughterhouses, the horses were unloaded by handlers, via halter and rope. The prevalence of reluctance to unload, injuries, nasal, and lacrimal discharge was 22.2%, 24.6%, 11.6%, and 10%, respectively. Journey duration, unloading duration, vehicle changes, long stops, handlers/drivers’ skills, temperature, season, and horse individual characteristics were associated with horses’ welfare and health status (all p < 0.05). Our study confirms the hypothesis that appropriate journey conditions are of crucial importance to safeguard the welfare of broken/handled horses transported over long distances for slaughter.

Common treatment methods for malignant tumors include surgery, chemotherapy, radiotherapy, immunotherapy, targeted therapy, etc., among which chemotherapy plays an important role. However, chemotherapy brings corresponding side effects while killing tumor cells, and nausea and vomiting are the most common adverse reactions induced by chemotherapy. It not only affects the patient\'s appetite, resulting in malnutrition and electrolyte disturbances, but also reduces the patient\'s compliance with treatment, which further aggravates the disease. Thus, it is important to quickly prevent and cure nausea and vomiting induced by chemotherapy (CINV). In addition, with the continuous development of medicine, more and more antiemetic drugs have been developed. At present, the most common antiemetic agents for chemotherapy-induced nausea and vomiting are NK-1R antagonists, 5-HT3R antagonists, and dexamethasone. Surprisingly, olanzapine, often used as a psychotropic drug, has been found to be an effective antiemetic and is similar to other regimens on the safety of medicine. However, although there are numerous studies on the antiemetic effects of olanzapine, its comprehensive application remains unclear. Therefore, this review will elaborate the antiemetic effect of olanzapine in terms of the antiemetic mechanism and the safety, economic cost, dose, administration time, and drug delivery aspects.

BACKGROUND: Video endoscopic inguinal lymphadenectomy (VEIL) has fewer complications than open surgery for vulva cancer. No high-level evidence comparing the efficacy and safety of the two routes of VEIL (VEIL-H and VEIL-L) is available.
METHODS: We performed a comprehensive literature search for reports on VEIL for vulva cancer from 2000 to 2020 and reviewed our experience. Data extraction includes patients\' characteristics, perioperative indicators, postoperative complications, and cancer recurrence.
RESULTS: A total of 11 eligible studies were included in the systematic review. Nine studies included only one route of VEIL, and the other two studies directly compared the two routes of VEIL. The average operation time of the VEIL-L group was 85 (range, 33-180.12) minutes, and that of the VEIL-H group was 112 (range, 35-170.79) minutes. The average blood loss of the VEIL-L group was 9 (range, 5-30) mL, and that of the VEIL-H group was 96 (range, 5.5-214.8) mL. The average number of intraoperatively removed lymph nodes in the VEIL-L group was 9 (range, 7.5-13.2), and that in the VEIL-H group was 14 (range, 9.5-16). No significant difference was observed in the cancer recurrence rate between the two groups. We found similar results in our cohort study.
CONCLUSIONS: The operation time, intraoperative blood loss, and time of drainage of the VEIL-L procedure seemed less than those of the VEIL-H procedure. VEIL-L and VEIL-H were equivalent in the efficacy of lymph node dissection, surgery-related complications, and cancer recurrence rate.

OBJECTIVE: The molecular pathogenesis of solid tumour was first assessed in colorectal cancer (CRC). To date, ≤ 100 genes with somatic alterations have been found to inter-connectively promote neoplastic transformation through specific pathways. The process of colorectal carcinogenesis via genome landscape is reviewed on the basis of an adenoma-to-carcinoma sequence, as shown by serial histological and epidemiological observations.
METHODS: The relevant literatures from PubMed (1980-2021) have been reviewed for this article.
RESULTS: The major routes of CRC development, chromosomal instability (CIN), microsatellite instability (MSI), and the serrated route either via CIN or MSI, proceed through the respective molecular pathway of colorectal carcinogenesis. Particular aspects of CRC carcinogenesis can also be determined by evaluating familial CRCs (FCRC) and genotype-phenotype correlations. Specific causative gene alterations still leave to be identified in several FCRCs. Otherwise, recently verified FCRC can be particularly notable, for example, EPCAM-associated Lynch syndrome, polymerase proofreading-associated polyposis, RNF43-associated polyposis syndrome or NTHL1 tumour syndrome, and hereditary mixed polyposis syndrome. The oncogenic landscape is described, including representative pathway genes, the three routes of carcinogenesis, familial CRCs, genotype-phenotype correlations, the identification of causative genes, and consensus molecular subtypes (CMS).
CONCLUSIONS: Whole genome research using multi-gene panels (MGPs) has facilitated high through-put detection of previously unidentified genes involved in colorectal carcinogenesis. New approaches designed to identify rare variants are recommended to consider their alterations implicated in the molecular pathogenesis.