An improved reptile search algorithm-based machine learning for sentiment analysis

The rapid growth of mobile technologies has transformed social media, making it crucial for expressing emotions and thoughts. When making significant decisions, businesses and governments can benefit from understanding public opinion. This information makes sentiment analysis vital for understanding public sentiment polarity. This study develops a hyper tuned deep learning model with swarm intelligence and many approaches for sentiment analysis. convolutional neural network (CNN), bidirectional encoder representations from transformers (BERT), long short-term memory (LSTM), CNN-LSTM, BERT-LSTM, and BERT-CNN are the six deep learning models of the sentiment analysis using deep learning with reinforced learning based on reptile search algorithm (SA-DLRLRSA) model. The reptile search algorithm, an enhanced swarm intelligence algorithm (SIA), optimizes deep learning model hyper parameters. Word2Vec word embedding is used to convert textual input sequences to representative embedding spaces. Pre-trained Word2Vec embedding is also used to address issue of unbalanced datasets. Experimental results demonstrate that the SA-DLRLRSA model works best with accuracies of 93.1%, 94.7%, 96.8%, 96.3%, 97.2%, and 98.3% utilizing CNN, LSTM, BERT, CNN-LSTM, BERT-CNN, and BERT-LSTM

Razvoj metformin hidroklorida za izravnu kompresiju metodom sušenja raspršivanjem

Metformin hydrochloride exhibits poor compressibility during compaction, often resulting in weak and unacceptable tablets with a high tendency to cap. The purpose of this study was to develop directly compressible metformin hydrochloride by the spray drying technique in the presence of polymer. Metformin hydrochloride was dissolved in solutions containing a polymer, namely polyvinylpyrrolidone (PVP K30), in various concentrations ranging from 0-3 % m/V. These solutions were employed for spray-drying. Spray-dried drug was evaluated for yield, flow property and compressibility profile. Metformin hydrochloride spray-dried in the presence of 2 % PVP K30 showed an excellent flow property and compressibility profile. From the calculated Heckel’s parameter (Py = 2.086), it was demonstrated that the treated drug showed better particle arrangement in the initial compression stage. Kawakita analysis revealed better packability of the treated drug compared to the untreated drug. Differential scanning calorimetry and Fourier transform infrared spectroscopy experiments showed that the spray-dried drug did not undergo any chemical modifications. Tablets made from the spray-dried drug (90 %, m/m) were evaluated for crushing strength, friability and disintegration time and the results were found satisfactory.Metformin hidroklorid se teško komprimira zbog čega nastaju slabe tablete neodgovarajuće kvalitete s velikom tendencijom kalanja. Cilj ovog rada je prirediti metformin hidroklorid za izravnu kompresiju metodom sušenja raspršivanjem u prisutnosti polimera. Metformin hidroklorid je otopljen uz dodatak različitih količina (03 % m/V) polivinilpirolidona (PVP K30). Dobivene otopine sušene su raspršivanjem, a tako pripravljenom metformin hidrokloridu određivano je iskorištenje, tečnost i kompresibilnost. Metformin hidroklorid pripravljen u prisutnosti 2 % PVP K30 ima izvrsnu tečnost i kompresibilnost. Izračunati Heckelovi parametri (Py = 2,086) pokazuju da tako obrađeni metformin hidroklorid tvori veće čestice na početku kompresije. Analiza po Kawakiti ukazuje na to da se obrađeni lijek bolje preša od neobrađenog. Diferencijalna pretražna kalorimetrija (DSC) i Fourierova transformirana infracrvena spektroskopija (FTIR) pokazuju da sušenje raspršivanjem nije uzrokovalo nikakve kemijske promjene. Iz obrađenog metformina izrađene su tablete (90 % m/m) sa zadovoljavajućom lomljivošću, drobivošću i vremenom dezintegracije

Optimizing Own Mother’s Milk Supply for NICU Babies

All babies, including the ones admitted to NICU, should receive their mother’s milk for their reduced morbidity and mortality in short-term and optimal growth and cognitive development in the long run. NICU babies are at the highest risk of lactational failure and formula feeding due to a variety of reasons. Various barriers for exclusive breastfeeding, the quality indicators of optimal lactational supply, and interventions to improve own mother’s milk supply for NICU babies is discussed in this article. </jats:p

Perinatal Acute Kidney Injury in a Preterm Neonate Associated with Maternal COVID-19 Infection: A Case Report

Effect of Perinatal maternal Coronavirus Disease-2019 (COVID-19) on growing foetus is not fully understood. There are early reports of biochemical Acute Kidney Injury (AKI) in the foetus with maternal COVID-19 infection. Present case is the first clinical case of perinatal AKI in a preterm neonate associated with maternal severe COVID-19. Preterm baby (34+4 weeks) was born to mother having COVID-19 pneumonia with raised inflammatory markers. She had history of decrease foetal movements and anhydraminos a day prior to delivery. Baby showed signs of AKI in form of weight gain, oedema and hypertension with initial serum creatinine of 3.54 mg/dL and blood urea of 95.2 mg/dL at 48 hours of age. Subsequently baby showed diuresis and improving Renal Function Tests (RFT). The foetal AKI resulted in anuria followed by anhydraminos with postnatal recovering AKI; even though the baby tested negative for COVID-19 RT-PCR, The baby did not have any clinical or biochemical evidence of asphyxia or sepsis. Possible explanation could be foetal renal hyoxic ischaemic insult due to Vasomotor Nephropathy (VMNP) or AKI due to cytokine storm in mother or direct viral injury to developing kidneys without nasopharyngeal colonisation.</jats:p