Effective hospital outpatient visits flow forecasting is an important task for modern hospitals to implement intelligent management of medical resources. Since outpatient visits flow may be nonlinear and dynamic, we propose a hybrid model, which combines motif information and k-nearest-neighbors regressor. Time series motif is a previously unknown pattern appearing frequently in a time series.
Uddanam is the end region of the srikakulam, share with the Odessa border .Its distributed 40 villages in the Kaviti, Kanchili, Sompeta. Most of the people were died in pre ripening age, suffering with chronic kidney diseases (CKD) without based on the age period. We are visited the different village areas and collect the survey samples such as water, food habits, usage of medicals, family back grounds and other habits. The water samples are send into the laboratory and collected the water quality such as PH, Minerals like silica, led and other pollutants.
A feeding trial of range grass and legume rations was conducted at Kipeto in Kajiado County to determine; nutritive value, feed intake and performance of twenty-four Dorper female sheep aged between 12-15 months old. The diets comprised of African foxtail (Cenchrus Ciliaris), Bush rye (Enteropogon macrostachyus) grasses, Lucerne (Medicago sativa), and Desmodium spp legumes. Each six treatment diet had four animals as follows; Diet 1:C. Ciliaris+ Lucerne, Diet 2; C. Ciliaris + Desmodium, Diet 3: Enteropogon macrostachyus + Lucerne, Diet 4:Enteropogon macrostachyus + Desmodium , Diet 5: C.
The integration of artificial intelligence (AI) and structural biology is transforming the field of drug discovery. AI-driven tools, such as AlphaFold, are enabling accurate protein structure predictions, while machine learning algorithms are facilitating the identification of novel drug targets and lead compounds. Structural biology innovations, including cryo-electron microscopy and X-ray crystallography, are providing high-resolution insights into protein-ligand interactions. This convergence of technologies is accelerating drug discovery, reducing costs, and improving accuracy.
Periodontal disease is a prevalent inflammatory condition that affects the supporting structures of teeth, leading to progressive tissue destruction and potential tooth loss. Traditional treatment methods such as scaling and root planing (SRP) and systemic antibiotic therapy have limitations, including inadequate drug penetration and antibiotic resistance. Local drug delivery (LDD) systems have emerged as an effective adjunct to conventional therapy by providing targeted and sustained drug release within periodontal pockets.
The gig economy has emerged as a transformative force in the global labor market, offering flexibility, autonomy, and new income opportunities. In India, the rise of digital platforms has significantly influenced employment patterns, particularly in semi-urban and rural regions. This study explores gig employment trends in North Karnataka, analyzing the socio-economic factors, motivations, challenges, and future prospects of gig workers in the region.
The swift expansion of online platforms has led to a surge in toxic comments, disrupting digital communities and adversely affecting users. Tackling this pervasive issue presents significant challenges, particularly in a multilingual context, as most available solutions tend to focus primarily on English. This project presents a multilingual toxic comments classification system harnessing Multilingual BERT (mBERT) capabilities.
This article presents a systematic review of the literature on public health education policies related to breastfeeding. The aim was to identify the main initiatives, evaluating their effectiveness in promoting, protecting, and supporting breastfeeding. The use of the Methodi Ordinatio method allowed for the classification of articles based on impact factor, number of citations, and year of publication, ensuring the selection of relevant studies.
This Research methodology for the conservation of painted wood products with water content found in archaeological excavations from the Eurasian steppe region has not yet been conducted in Mongolia. Therefore, it aimed to explore and localize restoration methods to preserve and extend the lifespan of wood products with water content found in archeological excavations.
The adaptability of aquatic plants to changing environments depends on their genetic diversity. These were influenced by the rate of sexual reproduction, mutation, as well as, gene flow from distant areas. So, the aim of this study was to investigate the genotoxicity of wastewater on the molecular level of Ceratophyllum demersum L., in addition to improving the quality of these effluents resulting from the chemical fertilizer industry. Six doses of ultraviolet (UV-B) irradiation were used to induce genetic diversity in C. demersum L, in addition to unirradiated plants served as control.