Profile Pattern Research Articles

Inpatient care of sick newborns in special new born care units in Odisha

Background: Inpatient care assessment of sick newborns in Special New Born Care Units (SNCUs) in Odisha is vital for feedback and improvement. This study aimed to characterize the quality of care provided by SNCUs in selected districts in Odisha during 2020-2022. Methods: Using secondary data from 10 SNCUs of District Hospitals in Odisha over a three-year period (2020–2022), we performed a cross-sectional descriptive analysis on all admitted neonates. Age, gender, birth weight, admission indication, maturity, mortality profile, referral, and admission pattern were all profiled. Excel 2021 was used to extract the data, and Excel and Epi Info were used for analysis. Results: Of the 50226 babies admitted to SNCUs, 24383 (48.5%) were inborn. Males made- up 58.4% of the infants. 995 babies (2.0%) weighed less than 1000 grams, while 58.5% of neonates had low birth weights (less than 2500 grams). Prematurity (n=4363, 8.7%), low birth weight (n=6757, 13.5%), refusal to feed (n=5327, 10.6%), neonatal jaundice (n=9616, 19.1%), and perinatal asphyxia (n=14421) account for 28.7% of hospitalizations. Of the total, 4.1% left the SNCU against medical advice, 9.7% died, 11.3% were referred, and 74.8% were discharged. The leading causes of death were preterm birth, infection, hypoxic-ischemic-encephalopathy (HIE), and birth asphyxia. The Composite SQCI performs satisfactorily (0.60-0.66) over the course of the twelve quarters Conclusion: Birth asphyxia is the primary cause of illness and mortality in neonates. Early referrals, effective intervention, and excellent prenatal care are essential to prevent it.

The pattern of cytokine profile in children received extracorporeal blood purification.

We reported the cytokine profile in children <18 years old who received extracorporeal blood purification (EBP) for sepsis, rhabdomyolysis, hyperbilirubinaemia, acute respiratory distress syndrome or cytokine storm, and determined the factors affecting the cytokine removal kinetics. Plasma levels of 38 types of cytokine/chemokine were measured at pre-EBP, 12 and 24 h after initiating EBP. Altogether there were 11 eligible episodes admitted between April 2021 and December 2023. 72.7% were male with a median (25th, 75th percentile) age of 8.7 (5.4, 15.7) years old. The overall mortality rate was 45.5% but there was no EBP-associated mortality. EBP modalities included Cytosorb® haemoadsorption (63.6%) and Oxiris® haemodiafiltration (36.4%). Thirty-seven (97.4%) cytokines exhibited a concentration reduction following EBP, and 60.5% achieved a ≥50% concentration reduction. The median removal ratio was 35.0 (21.0, 53.7)% at 12 h and 55.0 (42.1, 83.1)% at 24 h. Survivors showed a significantly higher number of cytokines with ⩾50% removal ratio at 24 h (28 vs 7, p = 0.017) and better removal ratio of anti-inflammatory cytokines at 12 h (67.9% vs 0%, p = 0.030). A higher pre-EBP cytokine concentration and higher blood flow rate were significantly associated with better removal in 16 (42.1%) and 32 (84.2%) cytokines respectively. Our study demonstrated that both devices can safely and effectively reduce the cytokine and chemokine levels in critically ill children with various conditions.

Role of stereotactic radiosurgery for intracranial epidermoid tumors: a systematic review to assess its safety, efficacy, and complication profile.

Even a gross total resection of a benign epidermoid tumor (ET) carries a high risk of recurrence. The management strategy mostly involves redo surgical excision but at a significant cost of morbidity and mortality. The role of adjuvant radiation therapies in this scenario is still undefined. To evaluate the feasibility, safety, efficacy, and complication profile of radiosurgery as a standalone or adjuvant therapy for intracranial epidermoid in the published literature. Following PRISMA guidelines, a comprehensive search of the databases PubMed, Embase, Scopus, and Web of Science in published English language was conducted. We included studies with radiosurgery for benign ET and in patients with malignant transformation of ET (MTET). All studies were evaluated for tumor characteristics, pattern of treatment, dosimetric profile, outcome, and complications. We included all studies with at least one outcome of interest i.e. local control (LC); progression-free survival (PFS); symptomatic toxicity; disease progression; retreatment; and overall survival (OS); and cause-specific mortality. The search revealed 403 articles, of which 6 and 8 studies with patients of benign ET and MTET respectively were included. 25 (65.7%) patients received primary SRS. 27 patients presented with hyperactive cranial nerve syndromes; 77.7% gained complete improvement. The overall median age was 46.7 years (22-67) and the median tumor volume ranged from 0.38 to 6.2cc in benign ET. Volumetric reduction was seen in 6 cases; progression was seen in 2 cases while ET remained stable in the rest. Mean follow-up duration ranged from 33.7to60 months, and no recurrence was reported at thelatest follow-up in any case of benign ET. 9.5% ofpatients suffered from transient cranial nerve deficits with no prolonged adverse radiation effect. OS in theMTET group was 6to60 months following GKRS with 50% ofpatients alive at thelatest follow-up. SRS may be a promising treatment option for a conventionally benign and radioresistant ET making a meaningful change in the natural history of the disease. It is avaluable adjuvant technique in patients with MTET.

Antimicrobial resistance pattern and species distribution profile of aerobic bacteria causing sterile body fluid infection from a tertiary care hospital

Objectives: Body fluids such as pleural fluid, ascitic fluid, and cerebrospinal fluid are sterile but they can get infected by different microorganisms leading to life-threatening infections. We conducted this study to evaluate the distribution profile of various aerobic bacteria and their antimicrobial resistance pattern isolated from sterile body fluids from the patients attending a tertiary care hospital in North India. Materials and Methods: This hospital-based cross-sectional observational study was conducted in the Department of Microbiology of a tertiary care hospital. A total of 495 sterile body fluid samples were processed for species-level identification of aerobic bacteria by conventional methods following standard laboratory procedures. The antimicrobial susceptibility testing was performed by Kirby–Bauer disc diffusion method according to clinical and laboratory standards institute guidelines 2020. Results: Out of a total of 495 sterile body fluid samples, 48 were found positive on culture for bacterial pathogens. The predominant organisms isolated from sterile body fluids were Acinetobacter species (35%), followed by Klebsiella species (23%), Escherichia coli (13%), Pseudomonas species (12%), Staphylococcus aureus (13%), and Streptococcus species (4%). All of the Gram-negative isolates were 100% sensitive to Colistin followed by amikacin (67.50%) and gentamicin (60%). The Gram-positive isolates were 100% sensitive to vancomycin and linezolid followed by gentamicin (50%). Conclusion: Infections of sterile body fluids can lead to high morbidity and mortality. The knowledge of the bacteriological and antimicrobial resistance profile of bacteria causing sterile body fluid infections is vital in determining appropriate antimicrobial therapy.

Attribution of 2022 August Heavy Precipitation Event in South Korea Using High‐Resolution Pseudo Global Warming Simulations: Sensitivity to Vertical Temperature Changes

AbstractThis study examines the anthropogenic influences on the heavy precipitation event that occurred in early August 2022, South Korea, using a pseudo global warming (PGW) method with a convection‐permitting model. Pseudo global warming experiments for counterfactual natural non‐warming conditions (NAT) were conducted by removing anthropogenic warming patterns from the observations. The anthropogenic warming patterns were estimated from the differences between Coupled Model Inter‐comparison Project Phase 6 historical and historical natural‐only simulations. Two NAT experiments were performed by using the multi‐model mean of all nine models (NATT) and the three models with weaker upper tropospheric warming (NATW). The results show that atmospheric moisture is reduced in both NAT experiments compared to the current‐condition experiments, but that enhanced convective instability due to upper tropospheric cooling offsets the effect of moisture reduction, resulting in similar precipitation responses. This compensation effect becomes weak in NATW, indicating the important role of the vertical profile of anthropogenic warming pattern in PGW‐based attribution experiments.

Anatomical, subset, and HIV-dependent expression of viral sensors and restriction factors.

We developed viral sensor and restriction factor-cytometry by time of flight (VISOR-CyTOF), which profiles 19 viral sensors and restriction factors (VISORs) simultaneously in single cells, and applied it to 41 postmortem tissues from people with HIV. Mucosal myeloid cells are well equipped with SAMHD1 and sensors of viral capsid and DNA while CD4+ Tcells are not. In lymph node CD4+ Tfh, VISOR expression patterns reflect those favoring integration but blocking HIV gene expression, thus favoring viral latency. We also identify small subsets of bone marrow-, lung-, and gut-associated CD4+ T and myeloid cells expressing high levels of restriction factors targeting most stages of the HIV replication cycle. Invitro, HIV preferentially fuses to CD4+ Tcells with a permissive VISOR profile, but early induction of select VISORs by T1IFN prevents productive HIV infection. Our findings document the diverse patterns of VISOR profiles across tissues and cellular subsets and define their association with susceptibility to HIV.

Application of Principal Component Analysis as a Prediction Model for Feline Sporotrichosis.

Sporotrichosis is a worldwide zoonotic disease that is spreading and causing epidemics in large urban centers. Cats are the most susceptible species to develop the disease, which could cause significant systemic lesions. The aim was to investigate and to identify predictive indicators of disease progression by correlations between the blood profile (hematological and biochemical analytes) and cutaneous lesion patterns of 70 cats diagnosed with Sporothrix brasiliensis. The higher occurrence in male cats in this study could be related to being non-neutered and having access to open spaces. Principal component analysis (PCA) with two principal components, followed by binary logistic regression, and binary logistic regression analysis, with independent variables and backward elimination modeling, were performed to evaluate hematological (n = 56) and biochemical (n = 34) analytes, including red blood cells, hemoglobin, hematocrit, leukocytes, segmented neutrophils, band neutrophils, eosinophils, lymphocytes, monocytes, total plasma protein, albumin, urea, creatinine, and alanine aminotransferase. Two logistic regression models (PCA and independent variables) were employed to search for a predicted model to correlate fixed (isolated) and disseminated cutaneous lesion patterns. Total plasma protein concentration may be assessed during screening diagnosis as it has been recognized as an independent predictor for the dissemination of cutaneous lesion patterns, with the capability of serving as a predictive biomarker to identify the progression of cutaneous lesions induced by S. brasiliensis infections in cats.

Bacteriological Profile and Antibiotic Sensitivity Pattern of Urinary Tract Infection

Bacteriological Profile and Antibiotic Sensitivity Pattern of Urinary Tract Infection

Microbial profile and antimicrobial resistance patterns in ventilator-associated pneumonia (VAP): A cross-sectional study from Syria.

This study aimed to determine the bacterial profile and their antibiotic spectrum in patients with ventilator-associated pneumonia (VAP) and investigate the risk factors for VAP and the presence of multidrug-resistant (MDR) pathogens. A cross-sectional study was included 105 patients with clinically suspected VAP in intensive care units (ICUs) of two university hospitals from Syria, between January 2023 and February 2024. Culture-positive included 69 samples (65.7%), which were classified based on post-intubation as early-onset (<5 days) or late-onset (≥5 days). Gram-negative and Gram-positive bacteria were observed in 82.6% and 17.4%; respectively. Early and late-onset VAP was reported in 30 (43.5%) and 39 (56.5%) patients; respectively. The primary cause of early-onset VAP was Acinetobacter and Enterobacter , whereas Klebsiella and Acinetobacter were the main causes of late-onset VAP. Gram-negative showed a high resistance to fluoroquinolones (91.2%), carbapenems (78.9% for imipenem and 86% for meropenem), and amikacin (83.2%), while all were sensitive to colistin. Gram-positive was sensitive to tetracycline, vancomycin, linezolid, tigecycline, and trimethoprim-sulfamethoxazole. MDR was observed in 55 patients (79.7%) and in early (76.9%) and late-onset (83.3%) VAP. There were no risk factors favoring MDR or early compared to late-onset VAP. The study revealed a high prevalence of Gram-negative among VAP patients. A significant prevalence of MDR pathogens was observed in early and late-onset VAP, along with high resistance to carbapenems. This necessitates a reassessment of the current use of antibiotics and highlights the need for further studies to choose alternative treatments for empirical antibiotic coverage.

Retention and Caries Preventive Effects of Glass Ionomer and Resin Sealants in School-Aged Children: A Comparative Clinical Study

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Clinical Profile and Antibiotic Susceptibility Patterns of Cronobacter sakazakii in the Northern Region of Oman

Abstract Background: Cronobacter sakazakii is an opportunistic pathogen that mostly affects neonates, infants, and elderly people with weakened immune systems. No study has reported the frequency and antibiotic susceptibility patterns of C. sakazakii from Oman, and thus this study was conducted to fill this gap in the literature. Materials and Methods: This single-center retrospective study included C. sakazakii isolates identified from different clinical samples of patients treated at Sohar Hospital, Oman, between January 2017 and December 2023. Bacterial identification and antibiotic susceptibility testing were done using the VITEK II automated microbiological system in accordance with the Clinical Laboratory Standards Institute (CLSI) guidelines. Results: A total of 185 C. sakazakii isolates were included, most commonly from patients aged &gt;60 years (42.7%) and &lt;1 year (11.4%). C. sakazakii strains had high susceptibility (&gt;80%) to most of the tested antibiotics; however, for beta-lactam antibiotics, it ranged from 0% to 50%. Approximately 26.5% of the strains were multidrug resistant. Independent risk factors for increased frequency of multidrug-resistant strains were urinary catheterization (P = 0.002), surgery (P = 0.021), previous antibiotic therapy (P = 0.047), and critical care unit admission (P = 0.048). About one-fifth of the patients experienced life-threatening C. sakazakii infections such as septicemia (15%) and pneumonia (4.7%). All deaths due to septicemia occurred in the &gt;60 years (n = 12) and &lt;1 year (n = 4) age groups. Conclusions: Cronobacter sakazakii isolates from the North Batinah region of Oman were most frequently isolated from elderly and infant patients and had high antibiotic susceptibility; however, the significant resistance against beta-lactams suggests their low effectiveness. The high number of multidrug-resistant strains coupled with the independent risk factors suggests the need for following stricter antibiotic stewardship protocols and infection control practices.

Rare Cell Population Analysis in Early-Stage Breast Cancer Patients.

Circulating rare cells participate in breast cancer evolution as systemic components of the disease and thus, are a source of theranostic information. Exploration of cancer-associated rare cells is in its infancy. We aimed to investigate and classify abnormalities in the circulating rare cell population among early-stage breast cancer patients using fluorescence marker identification and cytomorphology. In addition, we sought to determine the dependency of these markers on the presence of tumors. We evaluated the validity of a multi-rare-cell detection platform and demonstrated the utility of a specific rare cell subset as a novel approach to characterize the breast cancer system. Sampling was conducted both before and after tumor resection. Linearity of the Rarmax platform was established using a spike-in approach. The platform includes red blood cell lysis, leukocyte depletion and high-resolution fluorescence image recording. Rare cell analysis was conducted on 28 samples (before and after surgery) from 14 patients with breast cancer, 20 healthy volunteers and 9 noncancer control volunteers. In-depth identification of rare cells, including circulating tumor cells, endothelial-like cells, erythroblasts, and inflammation-associated cells, was performed using a phenotype and morphology-based classification system. The platform performed linearly over a range of 5 to 950 spiked cells, with an average recovery of 84.6%. Circulating epithelial and endothelial-like cell subsets have been demonstrated to be associated with or independent of cancer with tumor presence. Furthermore, certain cell profile patterns may be associated with treatment-related adverse effects. The sensitivity in detecting tumor-presence and cancer-associated abnormality before surgery was 43% and 85.7%, respectively, and the specificity was 100% and 96.6%, respectively. This study supports the idea of a cancer-associated rare cell abnormality to represent tumor entities as well as systemic cancer. The latter is independent of the apparent clinical cancer.

Response of miRNA to treatment with Hypericum perforatum L. oil in multiple sclerosis.

MicroRNA‑regulated gene expression plays an important role in autoimmune diseases, such as multiple sclerosis (MS). This study investigated the expression patterns of microRNAs (miRNAs) in MS in brain tissues using an animal experimental autoimmune encephalomyelitis (EAE) model treated with Hypericum perforatum (HP) oil. C57BL/6 J mice were divided into two groups: MS and control. The MS group was subdivided into sham (MS) and MS+HP. After the EAE induction treatment protocol, the patterns of miRNA expression profiles were determined in brain samples of the groups. The array data identified eleven miRNAs and candidate miRNA validation was performed by RT‑qPCR. A literature review of the validated miRNAs found that six of the eleven miRNAs (miR‑200a‑3p, miR‑200b‑3p, miR‑200c‑3p, miR‑182‑5p, miR‑183‑5p, and miR‑1298‑5p) were directly associated with MS. These miRNAs have been suggested as biomarkers of MS because they are highly correlated with the pathology of the disease. Furthermore, miRNA array analysis identified five candidate miRNAs (miR‑299a‑5p, miR‑206‑3p, miR‑325‑5p, miR‑10b‑5p, miR‑429‑3p) that are highly likely to be associated with MS pathogenesis, which could be helpful in the diagnosis and treatment of MS disease. This research offers vital insights that could be utilized in creating biomarkers and advancing treatments for MS.

Profile and resistance pattern of Stenotrophomonas maltophilia in Dr. Soetomo General Academic Hospital During 2020-2022 Period

Introduction: Stenotrophomonas maltophilia is a challenging respiratory tract pathogen with increasing number of cases. S. maltophilia also shows a high resistance towards various antibiotics. The aim for this study is to know the antibiotic resistance pattern and profile of patient infected with S. maltophilia in order to find out effective antibiotic therapy in treating future cases. Methods: This cross-sectional study uses descriptive analytic method using medical record data of 36 patients infected with S. maltophilia in Dr. Soetomo General Academic Hospital during 2020-2022 period. The measured variables included antibiotic resistance pattern, age, sex, clinical diagnosis, comorbidity, signs and symptoms, medical device usage, total leukocyte count, and mortality rate. Result: S. maltophilia shows highest sensitivity index towards Trimetophrim-sulfomethoxazole (56%). Cases of S. maltophilia is most often found in 0-17 years age group (53%) and male (63%). It may cause infection whether alone or alongside other bacteria. The most common clinical diagnosis that occurs in S. maltophilia infections is pneumonia (81%). Dyspnea is the most occurred symptoms. Hypertension is a common comorbidity. IV infusion is the most used medical device. Might cause infection alongside other bacteria. Leukocytosis is often present. Mortality rate among subjects is 50%. Conclusion: Trimetophrim-sulfomethoxazole is the best treatment for S. maltophilia infections. Cases most often occurs in age 0-17 years, male, diagnosed with pneumonia, and has hypertension as comorbidity. In the future, antibiotics must be used wisely to prevent bacterial resistance and regular changing of medical device is encouraged to prevent nosocomial infections.

The epidemiological profile and morbidity-mortality patterns of technological disasters in the Americas from 2000 to 2021: a cross-sectional study

Technological disasters in the Americas have significant public health and environmental implications, but there is limited epidemiological analysis of these events. This study aims to characterize the epidemiological profile of technological disasters in the Americas from 2000 to 2021, focusing on morbidity and mortality trends. A retrospective cross-sectional study was conducted. The ANOVA test was applied in the mean rates calculated for each type of disaster. The Mann-Kendall test assessed the presence or absence of temporal trends, and the Dickey-Fuller augmented test was used to determine if the time series were stationary. Predictions were made up to the year 2030 to mean mortality rate per million inhabitants, mean rate of people affected per million inhabitants, and mean rate of people injured per million inhabitants. A total of 733 technological disasters were recorded in the Americas. Statistically significant differences were found between the mean rates of people affected and the mean mortality rates per million inhabitants for each type of technological disaster. No trends were identified. The highest mean mortality rates occurred because of industrial accidents.

Prediction of Central Post-Stroke Pain by Quantitative Sensory Testing.

Among patients with acute stroke, we aimed to identify those who will later develop central post-stroke pain (CPSP) versus those who will not (non-pain sensory stroke [NPSS]) by assessing potential differences in somatosensory profile patterns and evaluating their potential as predictors of CPSP. In a prospective longitudinal study on 75 acute stroke patients with somatosensory symptoms, we performed quantitative somatosensory testing (QST) in the acute/subacute phase (within 10 days) and on follow-up visits for 12 months. Based on previous QST studies, we hypothesized that QST values of cold detection threshold (CDT) and dynamic mechanical allodynia (DMA) would differ between CPSP and NPSS patients before the onset of pain. Mann-Whitney U-tests and mixed analysis of variances with Bonferroni corrections were performed to compare z-normalized QST scores between both groups. In total, 26 patients (34.7%) developed CPSP. In the acute phase, CPSP patients showed contralesional cold hypoesthesia compared to NPSS patients (p = 0.04), but no DMA differences. Additional exploratory analysis showed NPSS patients exhibit cold hyperalgesia on the contralesional side compared to the ipsilesional side, not seen in CPSP patients (p = 0.011). A gradient-boosting approach to predicting CPSP from QST patterns before pain onset had an overall accuracy of 84.6%, with a recall and precision of 75%. Notably, both in the acute and the chronic phase, approximately 80% of CPSP and NPSS patients showed bilateral QST abnormalities. Cold perception differences between CPSP and NPSS patients appear early post stroke before pain onset. Prediction of CPSP through QST patterns seems feasible. ANN NEUROL 2024.

Bacterial profile and antimicrobial susceptibility patterns of common neonatal sepsis pathogens in Gulf Cooperation Council countries: A systematic review and meta-analysis.

Neonatal sepsis (NS) is a major healthcare burden in Gulf Cooperation Council (GCC) countries, with a prevalence higher than the global average. Microbial drug resistance has major implications for mortality and morbidity from NS. To synthesize data regarding the patterns of causative bacteria of NS in the GCC and their antimicrobial susceptibility profiles. Following the exploration of four electronic databases, i.e., EBSCOhost, ProQuest, PubMed/MEDLINE, and ScienceDirect, eligible studies were identified (i.e., published between 2013 and 2023 and reported bacterial profile and/or antimicrobial susceptibility patterns). The outcomes included the pooled prevalence of bacteria and their susceptibility patterns. Proportion meta-analysis was performed for each outcome of interest. Fifteen studies were eligible (total positive cases = 2,473). Coagulase-negative Staphylococci (CoNS) (28.1%) were the most common gram-positive causative pathogen, followed by group B Streptococcus (GBS) (16.2%) and Staphylococcus aureus (9.9%); for gram-negative, Escherichia coli (12.7%) and Klebsiella species (11.4%) were most common. The susceptibility rates of these bacteria to first-line antibiotics were high; gram-positive bacteria had the highest susceptibility to ampicillin (72.8-98%), and gram-negative bacteria was most susceptible to amikacin (94.6-98%). Additionally, both gram-positive (67-77%) and negative (87-93%) bacteria exhibited high susceptibility to gentamicin. The most common pathogens among NS patients were gram-positive. The pathogens, irrespective of stain test, were susceptible to the current antibiotic therapy. We recommend the judicious use of empirical antibiotic therapy to prevent the growing risk of antimicrobial resistance.

ARTIFICIAL INTELLIGENCE, INTERNET OF THINGS, AND BLOCKCHAIN IN EDUCATION: TOWARDS PERSONALIZED, INCLUSIVE, AND SUSTAINABLE LEARNING WITH SOCIAL IMPACT

By blending the Internet of Things (IoT) into artificial intelligence and blockchain with social issues (decentralized IoT for smart society SSIoTX), education can become more intelligent, accessible, and personalized. Such technologies customize learning for the needs of each learner, allowing progress to be monitored in real-time and modifying the content per cognitive profile determined by cognitive skills. Furthermore, AI, together with SSIoTX, can be of great help to students who have some disability by giving them some sensor devices that make them even more accessible in their education and integrated into classrooms. Additionally, they drive student collaboration and allow teachers to assess how their lesson creates teaching outcomes. SSIoTX can tackle education disparities and make school resources more efficient, contributing to learning environments that are even better and healthier. In summary, it is far from the perspective that blockchain, IoT, and AI technologies have a high social impact since they are bringing education to more and making it inclusive. The paper’s core is developing a deep convolution learning model (YOLO V7) to recognize the cognitive profile patterns based on cognitive skills quizzes on an SSIoTX ecosystem. Cognitive profiles are processing information, problem-solving, and decision-making. Cognitive skills are memory, attention, reasoning, and social cognition. Since the SSIoTX expert system is on the blockchain, a decentralized application (DAPP) has been built in IoTX.

GC-MS, FTIR, Phytochemical Profiling and Antibiogram Pattern of Ipomoea asarifolia on Bacterial Strains from Wound

&amp;lt;p&amp;gt;This study aims to assess the GC-MS and FTIR profiles and secondary metabolites of &amp;lt;em&amp;gt;Ipomoea asarifolia&amp;lt;/em&amp;gt; vis-a-vis its antibacterial action against bacteria, associated with wound infections. We conducted phytochemical screenings, GC-MS, and FTIR analyses on &amp;lt;em&amp;gt;I. asarifolia&amp;lt;/em&amp;gt;. &amp;amp;nbsp;The antibacterial effects of the extracts were tested against &amp;lt;em&amp;gt;Staphylococcus aureus&amp;lt;/em&amp;gt; and &amp;lt;em&amp;gt;Pseudomonas aeruginosa&amp;lt;/em&amp;gt;. Reports indicated the presence of saponins (57.9, 13.81, 46 mg/g), phenolics (18.4, 4.14, 21.05 mg/g), and alkaloids (0.49, 0.62, 1.12 mg/g) in the leaf, stem, and whole plant, respectively. &amp;lt;em&amp;gt;I. asarifolia&amp;lt;/em&amp;gt; contained eighteen (18 of 20) essential amino acids, including glycine, alanine, serine, and proline. We also found phytosterol, fatty acids, phospholipids, and vitamins (B, C, D, E, and K) in the samples. We detected distinctive absorption bands in the leaf and stem samples, corresponding to the stretching of O-H bonds. The absorption band at 3419.95 cm&amp;lt;sup&amp;gt;&amp;amp;minus;1&amp;lt;/sup&amp;gt; was discovered in the leaf, while the absorption band at 3416 cm&amp;lt;sup&amp;gt;-1&amp;lt;/sup&amp;gt; was observed in the stem. A prominent adsorption peak at 1637.83 cm&amp;lt;sup&amp;gt;&amp;amp;minus;1&amp;lt;/sup&amp;gt;, corresponding to the stretching of the alkene C=C bond in lignin, was detected in the leaf sample. The zone size inhibition for leaf and stem extracts ranges from 5 mm to 8 mm, depending on the extract concentration (0.625&amp;amp;ndash;5.0 mg/mL). &amp;lt;em&amp;gt;S. aureus&amp;lt;/em&amp;gt; exhibited susceptibility to ciprofloxacin and norfloxacin but showed resistance to 15 other antibiotics. In contrast, &amp;lt;em&amp;gt;P. aeruginosa&amp;lt;/em&amp;gt; displayed resistance to all tested antibiotics. The study provided confirmation and clarification of the traditional applications of &amp;lt;em&amp;gt;I. asarifolia&amp;lt;/em&amp;gt;, a herbal plant that necessitates further investigation.&amp;lt;/p&amp;gt;

Influence of Organic Nutrient on Growth Pattern, Flowering and Biochemical Profiling in Bottle Gourd [Lagenaria siceraria (Mol.) Standl.] Var. Kashi Ganga

The present investigation entitled Influence of Organic Nutrient on Growth Pattern, Flowering and Biochemical Profiling in Bottle Gourd (Lagenaria siceraria)(Mol.)Standl.)Var. Kashi Ganga" was carried out with title at Organic Research Farm (ORF), Department of Horticulture, Institute of Agricultural Sciences, Bundelkhand University, Karguanji, Jhansi, Uttar Pradesh during the Kharif-2022 with a view to identify the effects of different combinations of organic nutrition and its role in growth, yield and quality of Bottle gourd variety Kashi Ganga. The experiment was laid in Randomized block design with 8 treatments and 3 replications. Based on above experimental finding it may be concluded that the treatment T7 (33% Farmyard Manure + 33% Poultry Manure + 33% Vermicompost) was found to be best in the terms of morphological characters viz., Vine length (3.33m), number of branches (5.30), days to male flowering (34.76 days), days to female flowering (44.17 days) and days to first fruit picking (75.92 days) yield and quality of Bottle gourd. While the highest net return was found in the T7 and the highest B:C ratio was found in the same with 6.10.