Search

Abstract Background An incisional hernia (IH) after major abdominal surgery is an unwanted complication particularly following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS and HIPEC). The frequency of IH among patients treated with CRS and HIPEC remains unexpectedly high in various studies. This study aimed to analyze the incidence, determine the factors contributing to the occurrence of IH, and develop methods to reduce the incidence of IH. Methods We retrospectively analyzed data from a prospectively maintained structured computerized comprehensive database of 360 patients who had undergone CRS and HIPEC after January 2013 and completed two years of follow-up before December 2023. All patients were followed for a minimum period of two years with physical examination and radiological imaging when required and the occurrence of IH was documented. We used SPSS software version 24 to analyze the data using appropriate statistical tests. We set a significance threshold of p more...

Abstract Background Alpha synuclein (α-synuclein) is coded by SNCA gene and found in a helical form with phospholipids or in an unfolded arrangement in the cytosol and belongs to the synuclein family other than beta synuclein and gamma synuclein. It is a short protein made of 140 amino acids with three domains: an N-terminal lipid binding helix, a non-amyloid-ß component (NAC), and an acidic tail at the C-terminus. α-Synuclein is present in aggregated and fibrillar form in Lewy bodies and its association has been related to multiple system atrophy (MSA), Parkinson’s disease (PD), and Dementia with Lewy bodies (DLB). Our objective is to investigate and prioritise the possible nsSNPs in the α-synuclein protein that have been potentially connected to human neurodegenerative diseases. Results We used the series of computational tools to predict the mutation's harmful effect on three-dimensional structure of α-synuclein based on consensus approach. Our findings pointed to a significant computational blueprint for discovering nsSNPs connected to neurodegenerative illnesses from a large SNP data set while also minimising the expenses of experimentally showing harmful nsSNPs. Conclusions The prioritised G25S (rs1433622151), V66E (rs1261243630), and V77D (rs745815563) mutations can be employed in additional experimental studies to assess the α-synuclein protein mutation in relation to neurodegenerative illnesses and develop a therapeutics against them. Graphical Abstract more...

Abstract Problem Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer globally, leading to the loss of structural integrity within the oral cavity layers and membranes. Despite its high prevalence, early diagnosis is crucial for effective treatment. Aim This study aimed to utilize recent advancements in deep learning for medical image classification to automate the early diagnosis of oral histopathology images, thereby facilitating prompt and accurate detection of oral cancer. Methods A deep learning convolutional neural network (CNN) model categorizes benign and malignant oral biopsy histopathological images. By leveraging 17 pretrained DL-CNN models, a two-step statistical analysis identified the pretrained EfficientNetB0 model as the most superior. Further enhancement of EfficientNetB0 was achieved by incorporating a dual attention network (DAN) into the model architecture. Results The improved EfficientNetB0 model demonstrated impressive performance metrics, including an accuracy of 91.1%, sensitivity of 92.2%, specificity of 91.0%, precision of 91.3%, false-positive rate (FPR) of 1.12%, F1 score of 92.3%, Matthews correlation coefficient (MCC) of 90.1%, kappa of 88.8%, and computational time of 66.41%. Notably, this model surpasses the performance of state-of-the-art approaches in the field. Conclusion Integrating deep learning techniques, specifically the enhanced EfficientNetB0 model with DAN, shows promising results for the automated early diagnosis of oral cancer through oral histopathology image analysis. This advancement has significant potential for improving the efficacy of oral cancer treatment strategies. more...

Introduction: Surgical Site Infections (SSIs) constitute a prevalent nosocomial concern among surgical patients. The incidence of SSIs typically ranges from 1-2% in the context of clean surgeries, irrespective of the use of antibiotic prophylaxis. Frequently, a single preoperative dose of antibiotics administered up to 60 minutes before surgery suffices. Aim: To compare the rates of postoperative infections following a single preoperative dose of prophylactic antibiotics with those receiving multiple postoperative doses. Materials and Methods: This quasi-experimental study was conducted at the Surgery Department of Kumareshwara Hospital in Bagalkot, Karnataka, India. Participants included individuals aged over 18 years undergoing elective clean surgeries, with their informed consent. Patients with co-morbidities or pre-existing infections at the surgical site were excluded from the study. A total of 161 cases were enrolled, divided into two groups: Group A (single dose of broad-spectrum i.v. antibiotic with 70 patients) and Group B (multiple doses of the same broad-spectrum antibiotic with 91 patients). Independent parameters of outcome variables were analysed using the Chi-square test and Student’s t-test. Results: The mean age of study participants was 41.25±13.47 years. The incidence of SSI in Group A was 1.42%, while in Group B, it was 2.20%. The mean duration of hospital stay was shorter in Group A (6.11±3.87 days) compared to Group B (7.60±4.08 days). Conclusion: In conclusion, the study suggests that the incidence of SSIs in both groups is similar and statistically insignificant for clean surgeries. Importantly, the hospital stay was shorter in the group receiving a single preoperative dose of antibiotics compared to multiple doses of antibiotics. more...

Background: Risk assessment is vital in delivering appropriate treatment and enhancing patient outcomes during acute ST-elevation myocardial infarction (STEMI). This study sought to ascertain the significance of NT-proBNP in predicting the outcome of thrombolysis in acute STEMI. Materials and Methods: In this prospective study, we enrolled individuals with acute STEMI who underwent fibrinolytic therapy. Plasma N-terminal-proBNP (NT-proBNP) levels were assessed upon admission. Patients were categorized as thrombolysis success or failure groups based on electrocardiogram (ECG) criteria. The outcomes were measured in terms of in-hospital mortality and adverse cardiovascular events. Results: Thrombolysis achieved success in 59.13% of acute STEMI cases. Patients experiencing failed thrombolysis had a significantly longer mean time to reperfusion than those with successful thrombolysis (4.74 ± 2.42 vs. 5.97 ± 2.35 h, P = 0.0078). The median baseline NT-proBNP concentration was 983 pg/mL (interquartile range 777–2987 pg/mL). The plasma NT-proBNP levels on admission were notably higher in the thrombolysis failure group (P < 0.001). NT-proBNP, time to reperfusion, heart rate, blood urea, and serum uric acid exhibited negative correlations with thrombolysis outcomes. The most prevalent adverse event was cardiac failure. Receiver operating characteristic (ROC) curve analysis indicated a robust association between NT-proBNP and in-hospital mortality. High NT-proBNP (>983 pg/mL) and prolonged time to reperfusion (>6 h) emerged as independent predictors of thrombolysis failure on multivariate logistic regression analysis (P = 0.017 and 0.035, respectively). Conclusion: Elevated plasma NT-proBNP upon admission during acute STEMI serves as a robust predictor for both fibrinolytic therapy failure and in-hospital mortality. more...

Synchronous existence of hepatic, splenic, and skeletal hemangiomas has not been reported previously in the English literature to our knowledge. In this case report, we present a case of coexistence of hepatic, splenic, and skeletal hemangiomas in a 30-year-old woman with on and off bilateral lumbar region pain and no significant past medical history. Radiological investigations, including ultrasound and computed tomography and magnetic resonance imaging helped identify the synchronous existence of hepatic, splenic, and skeletal hemangiomas. The patient improved with conservative management and was kept on follow-ups. Although there have been reports of coexistence of splenic and hepatic hemangiomas in the literature, to our knowledge, this is the first report of synchronous existence of hepatic, splenic, and skeletal hemangiomas. more...

Introduction: Hip surgery is a common surgical procedure in the elderly population, leading to significant pain. Ultrasound (USG)guided regional nerve blocks are a newer, safe, and effective postoperative pain control modality for elderly patients. Aim: To compare the analgesic efficacy of Fascia Iliaca Compartment Block (FICB) with the three-in-one block for postoperative analgesia in elderly patients after lower limb orthopaedic surgeries. Materials and Methods: It was a randomised double- blinded study performed at Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India on 60 elderly patients of Americian Soceity of Anaesthesiologists (ASA) class I-II scheduled for elective hip and femur shaft surgery under spinal anaesthesia.All patients were randomly allocated into two groups. Group A received ultrasound-guided FICB with 35-40 mL of 0.25% bupivacaine, and group B received ultrasound-guided three-in-one block with 35-40 mL of 0.25% bupivacaine after completion of surgery. In the postoperative period, pain was assessed using the Visual Analogue Scale (VAS), and inj. diclofenac sodium 1.5 mg/kg intravenous (i.v.) was given as rescue analgesic whenever VAS was ≥4. The primary outcome was changes in VAS scores at rest and during passive leg elevation between the two groups at various time intervals within 24 hours. Secondary outcomes measured were the duration of analgesia and total rescue analgesic required in 24 hours. Qualitative variables were compared between groups using the Chi-square test. A p-value more...

Abstract Biotechnology has revolutionized plant propagation by providing plant tissue culture as a rising alternative platform to conventional methods. In the present scenario, plant tissue culture becomes the key technique for the large-scale production and conservation of germplasm, maintenance of genetic stability, and meets out the economic demands of plant and plant products. It is the science of artificially growing test tube plantlets under optimized microclimatic conditions isolated from the external environment. This micro-scale environment resembles the natural environment consisting of culture vessels, humidity, gases, light irradiation, spectrum, temperature, nutritional media, and its constituents as major growth-affecting factors. The efficient architectural development of any genotype depends on these factors and requires a specifically optimized climate. Here, we are reviewing the interaction of physical factors of in vitro artificial climate including culture vessel, light, and temperature with the developing plantlets. The outcomes can increase the understanding of the developmental response of plants toward their environment in the recently changing climatic conditions. Further, this can also eliminate the challenges of cost, labor, and timings and introduce the advancements of efficient large-scale production of plant and plant products which will be effective in fulfilling the population demands. more...

Abstract Skin Cancer is caused due to the mutational differences in epidermis hormones and patch appearances. Many studies are focused on the design and development of effective approaches in diagnosis and categorization of skin cancer. The decisions are made on independent training dataset under limited editions and scenarios. In this research, the kaggle based datasets are optimized and categorized into a labeled data array towards indexing using Federated learning (FL). The technique is developed on grey wolf optimization algorithm to assure the dataset attribute dependencies are extracted and dimensional mapping is processed. The threshold value validation of the dimensional mapping datasets is effectively optimized and trained under the neural networking framework further expanded via federated learning standards. The technique has demonstrated 95.82% accuracy under GWO technique and 94.9% on inter-combination of Trained Neural Networking (TNN) framework and Recessive Learning (RL) in accuracy. more...

To ensure successful treatment and to prevent undesired tooth movements, it’s essential to manage reciprocal forces effectively. Anchorage control becomes particularly crucial in cases involving extractions, where it can help prevent unwanted tooth movement. However, during treatment, there’s a risk of anchorage loss, which can undermine the treatment objectives. Therefore, it’s imperative to monitor molar movement and assess for anchorage loss throughout treatment. Research publications were searched on search engines such as Scopus, PubMed, and Google Scholar, and articles with terms such as “anchorage management, assessment of anchorage loss, anchorage loss, space closure , en masse retraction and canine retraction” were collected. Various methods for evaluating anchorage loss are dental casts, 3-Dimensional assessment and lateral cephalogram superimposition. Dental casts works well for assessing anteroposterior anchorage loss in maxillary first molars. However, their utility in the mandibular arch is limited due to the absence of a stable reference point. Lateral cephalometry faces the challenge of superimposing bilateral structures. The recent introduction of 3D superimposition techniques offers a potential solution for assessing anchorage loss in the vertical dimension using dental casts. more...

Purpose: International guidelines for the management of patients with low back pain (LBP) are available, but there are no India-specific guidelines for the diagnosis and management of LBP in primary care. This article aims to provide clinical insights for the diagnosis and treatment of LBP for primary care practitioners in India. Methods: A 3-step modified Delphi method was used to get insights and opinions from a panel of 9 multidisciplinary specialist (neurology, orthopedics, and pain management). In rounds 1 and 2, 203 and 60 statements, respectively, were circulated to the expert panel and they were asked to respond with an “agree” or “disagree” to each statement and provide comments. At least 80% of the experts had to agree for a statement to reach a concordance. More than 80% concordance was reached for 175 and 32 statements in rounds 1 and 2, respectively. Round 3 was a direct interaction with the experts. Results: There was good agreement among the expert panelist in round 3 for the consensus-derived statements from the earlier two rounds of the survey. The panel agreed that diagnostic triage is important to exclude specific spinal pathology, routine imaging is not recommended unless suspecting serious pathology, specialist referral is needed for serious pathologies/no improvement in pain with treatment, and management is to be individualized depending on etiology and patient factors. Conclusions: Primary care physicians are the first point of contact for patients with back pain. These consensus recommendations will assist primary care physicians in India to choose an appropriate course of action for managing patients with LBP. more...

Mushrooms are known to be a nutritional powerhouse, offering diverse bioactive compounds that promote and enhance health. Mushrooms provide a distinguishable taste and aroma and are an essential source of vitamin D2, vitamin B complex, hydroxybenzoic acids (HBAs) and hydroxycinnamic acids (HCAs), terpenes, sterols, and β-glucans. Edible mushroom varieties such as Hericium erinaceus, Ganoderma sp., and Lentinula edodes are recognized as functional foods due to their remarkable potential for disease prevention and promotion of overall health and well-being. These varieties have antioxidants, anti-inflammatory, cytoprotective, cholesterol-lowering, antidiabetic, antimicrobial, and anticancer properties, as well as controlling blood pressure, being an immunity booster, and strengthening bone properties. In addition, they contain essential non-digestible oligosaccharides (NDOs) and ergothioneine, a potential substrate for gut microflora. Supplementing our daily meals with those can add value to our food, providing health benefits. Novel edible mushrooms are being investigated to explore their bioactive substances and their therapeutic properties, to benefit human health. The scientific community (mycologists) is currently studying the prospects for unlocking the full health advantages of mushrooms. This review aims to promote knowledge of mushroom culturing conditions, their nutritional potential, and the value-added products of 11 varieties. more...

Pharmaceutical and Personal Care Products (PPCPs) have become a significant environmental concern due to their widespread use, persistence, and potential toxicity, often referred to as forever chemicals. This study aims to develop and validate robust in silico models for predicting the aquatic toxicity of PPCPs. To do so, we resorted to the ECOTOX database and employed a Python-based tool to prepare and curate the dataset. Multitasking Quantitative Structure–Toxicity Relationship (mt-QSTR) models were then developed employing the Box–Jenkins moving average approach, incorporating both linear and non-linear frameworks based on diverse feature selection algorithms and machine learning techniques. To further improve the external predictivity, a consensus modeling approach was also implemented. The most accurate model achieved an overall predictive accuracy exceeding 85%, providing valuable insights into the structural features influencing PPCP toxicity. Key factors contributing to high aquatic toxicity included high lipophilicity, mass density, molecular mass, and reduced electronegativity. This work offers a foundation for designing safer PPCPs with reduced environmental impact, aligning with sustainable chemical development goals. more...

We investigate the relativistic, viscous, advective neutrino-dominated accretion flows (NDAFs) around rotating stellar-mass black holes, incorporating neutrino cooling. By adopting an effective potential to describe the spacetime geometry around the rotating black holes, we self-consistently solve the governing NDAF equations to obtain global transonic accretion solutions. Our findings indicate that, depending on the model parameters, namely, energy ( ε ), angular momentum ( λ ), accretion rate ( $\dot{m}$ ), viscosity ( α ), and black hole spin ( a _k ), NDAFs may harbor standing shocks where the Rankine–Hugoniot shock conditions are satisfied. Utilizing these shock-induced NDAF solutions, we compute the neutrino luminosity ( L _ν ) and neutrino annihilation luminosity ( ${L}_{\nu \bar{\nu }}$ ) across a wide range of model parameters. We further calculate maximum neutrino luminosity ( ${L}_{\nu }^{{\rm{\max }}}$ ) and neutrino annihilation luminosity ( ${L}_{\nu \bar{\nu }}^{{\rm{\max }}}$ ), resulting in ${L}_{\nu }^{{\rm{\max }}}\sim 1{0}^{51-53}$ erg s ^−1 (10 ^48−51 erg s ^−1 ) and ${L}_{\nu \bar{\nu }}^{{\rm{\max }}}\sim 1{0}^{48-52}$ erg s ^−1 (10 ^42−49 erg s ^−1 ) for a _k = 0.99 (0.0). These findings suggest that shocked NDAF solutions are potentially promising to explain the energy output of gamma-ray bursts (GRBs). We employ our NDAF model formalism to elucidate ${L}_{\nu \bar{\nu }}^{{\rm{obs}}}$ for five GRBs with known redshifts and estimate their accretion rate ( $\dot{m}$ ) based on the spin ( a _k ) of the central source of the GRBs studied here. more...

Since its emergence in the 1990s, the science of attributing observed phenomena to human-induced and natural climate drivers has made remarkable progress. To ensure the relevance and uptake of climate impact attribution studies, scientists must effectively engage with stakeholders. This engagement allows stakeholders to pose key questions, which scientists can then substantiate with evidence evaluating the existence of causal links. Although significant advancements have been made in climate impact attribution science, much work remains to understand the varied requirements of different stakeholders for impact attribution findings. This perspective explores the usefulness of stakeholder engagement in climate impact attribution, the challenges it presents, and how it can be made more relevant for addressing societal questions. It advocates for prioritizing stakeholder involvement to achieve greater transparency, legitimacy, and practical application of findings. Such involvement can enhance the societal impact of attribution studies and support informed decision-making in the face of climate change. more...

Ventilator-associated pneumonia (VAP) is a common and serious complication in critically ill patients, particularly those requiring prolonged mechanical ventilation. Extensively drug-resistant (XDR) Acinetobacter baumannii has emerged as a significant threat in VAP cases, complicating treatment due to its exceptionally high level of antibiotic resistance. We present a case of a 62-year-old male patient with severe acute ischemic stroke, who developed VAP during his stay in the intensive care unit (ICU). Cultures confirmed XDR Acinetobacter baumannii as the causative organism. The infection was further complicated by the development of a lung abscess, a rare but severe consequence of VAP. The patient was treated with a targeted antimicrobial regimen consisting of colistin, vancomycin, and tigecycline. Despite the pathogen’s resistance profile, the patient’s infection showed gradual improvement with sustained treatment. However, the recovery process was significantly prolonged due to the complexity of the infection, necessitating extended supportive care during hospitalization. This case highlights the challenges posed by XDR infections in critically ill patients and the importance of a tailored antimicrobial approach to effectively manage severe complications such as lung abscess. more...

Primary vaginal calculi are uncommon in children. Urethral duplication in females is seen to occur in association with complex congenital malformations. We report the case of perianal persistent urogenital sinus with a hypertrophied clitoris with phallic urethra, scrotum-like pouch, uterus didelphys with obstructed hemivagina, and giant colpolithiasis in 46XX female. A 16-year-old presented with pain abdomen and cyclic passage of blood clots per rectum. She had a tender lump in left iliac region, a phallus like protrusion and a ruggous sac below it. Vaginal opening was absent. Computed tomography showed two uterine horns with a separate cervix and distended non-communicating hemivaginas with a large calcified oval mass in the left hemivagina. On exploration, calculus was extracted from the left hemivagina. The large calculus found in the left hemivagina appears to be the cause of all presenting symptoms. It obstructed the left hemivagina, filling the left uterine horn with menstrual blood causing its gradual enlargement and secondary infection. The early diagnosis and prompt referral of such an anomaly can only be ensured in institutional deliveries. For a significant proportion of newborns in the developing world, the ability to afford or even be referred to institutes which deal with such cases is a luxurious affair. We hope to bridge bridging the knowledge, attitude and practice gap that exists in our health-care system with this report. more...

Inflammatory myofibroblastic tumour in paediatric patients present with a diagnostic dilemma because of its clinical, radiological and histopathological features overlapping with other mesenchymal tumours common in this age. Because of its rarity, the exact features are still unclear. Here, we are reporting clinical, radiological and histopathological appearances of two such cases. In both cases, the exact diagnosis was confirmed only after immunohistochemistry. There is a need for further detailed study to exactly determine the natural course and prognosis of these tumours. more...

In India, the incidence of mucormycosis reached high levels during 2021–2022, coinciding with the COVID-19 pandemic. In response to this, we established a multicentric ambispective cohort of patients hospitalised with mucormycosis across India. In this paper, we report their baseline profile, clinical characteristics and outcomes at discharge. Patients hospitalized for mucormycosis during March–July 2021 were included. Mucormycosis was diagnosed based on mycological confirmation on direct microscopy (KOH/Calcofluor white stain), culture, histopathology, or supportive evidence from endoscopy or imaging. After consent, trained data collectors used medical records and telephonic interviews to capture data in a pre-tested structured questionnaire. At baseline, we recruited 686 patients from 26 study hospitals, of whom 72.3% were males, 78% had a prior history of diabetes, 53.2% had a history of corticosteroid treatment, and 80% were associated with COVID-19. Pain, numbness or swelling of the face were the commonest symptoms (73.3%). Liposomal Amphotericin B was the commonest drug formulation used (67.1%), and endoscopic sinus surgery was the most common surgical procedure (73.6%). At discharge, the disease was stable in 43.3%, in regression for 29.9% but 9.6% died during hospitalization. Among survivors, commonly reported disabilities included facial disfigurement (18.4%) and difficulties in chewing/swallowing (17.8%). Though the risk of mortality was only 1 in 10, the disability due to the disease was very high. This cohort study could enhance our understanding of the disease’s clinical progression and help frame standard treatment guidelines. more...

Predicting PV system electricity output is necessary for daily operational management and annual power system planning when integrating solar collector-based photovoltaic (PV) stations into micro grids. Tilting the panels at the ideal angle to maximize solar energy capture is necessary to maximize PV station production. This optimal tilt angle (OTA) must be predicted as it is a nonlinear function of the total solar radiation, diffuse solar radiation, and direct solar radiation. This research explores the use of feature selection-based artificial neural networks (ANN) with various machine learning algorithms to predict the OTA for PV systems at specific locations, aiming to maximize PV output in micro grids. The study identifies global solar radiation, diffuse solar radiation, clarity index, and global solar radiation on inclined surfaces as the most critical inputs for predicting OTA, while extraterrestrial radiation is deemed the least significant. Implementing the appropriate input variables significantly enhanced prediction accuracy from 38.59 % to 90.72 %. Among the neural networks evaluated, the Elman neural network demonstrated the greatest improvement. more...

Moringa concanensis Nimmo. is a regionally important and underutilized medicinal tree of the Indian subcontinent. An in vitro morphogenesis protocol for Moringa concanensis has been developed using seedling-derived explants. The cotyledonary node explants were found to be the most suitable exhibiting cent-percent bud break with each regenerating 2.33±0.76 shoots of 1.32±0.69 cm length within 15 days on 1.0 mg/L 6-benzyl aminopurine (BAP) supplemented modified Murashige and Skoog Medium (MMS) media. The rate of shoot multiplication increased up to 10.17±2.54 shoots/inoculum by sub-culturing of regenerated shoots on 0.5 mg/L BAP along with 0.1 mg/L Indole acetic acid (IAA). The in vitro cloned shoots were rooted using both in vitro and ex-vitro methods by applications of root-inducing auxins, indole butyric acid (IBA), and naphthalene acetic acid (NAA). IBA proved to be more effective and induced roots in all in vitro raised shoots. It produced 17.72±4.83 roots/shoot with 2.12±0.88 cm length on 1/4th strength MMS media fortified with 1.0 mg/L of IBA. Ex vitro rooted plantlets with concurrent acclimatization were achieved by pre-treating shoot bases with IBA at 250 ppm for 5 min. Comparative micro-morpho-anatomical evaluation of leaf and stem revealed differentiation of non-glandular trichomes, anomocytic stomata, and vascular tissue development under applied in vitro conditions, which suggests the survivability of plantlets. Sixty percent of the in vitro regenerated plants survived in the field. It is the foremost report on in vitro morphogenesis of Moringa concanensis protocol using cotyledonary nodal explant and ex vitro rooting method. The tissue culture methods defined and developed can be used for large-scale multiplications of Moringa concanensis as non-conventional approaches. more...

Summary: Deciphering the functional differences between diseased and healthy cells requires understanding the alterations in biochemical flux patterns. We present a genome-scale differential flux analysis (GS-DFA) protocol to elucidate these metabolic disparities by integrating condition-specific gene expression data into the human genome-scale metabolic model (humanGEM). In this protocol, we describe the steps to normalize and integrate data into the humanGEM and analyze differential flux across the biochemical network between diseased and healthy cells.For complete details on the use and execution of this protocol, please refer to Nanda et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. more...

A study was conducted for the clinical evaluation of Tiletamine-zolazepam when used in combination with inj. atropine, inj. butorphanol and either xylazine or dexmedetomidine in 18 client owned dogs presented for ovariohysterectomy. They were divided into two groups: group 1 (n=9) and in group 2 (n=9). The drug regime for groups included inj. butorphanol @ 0.2 mg/kg and inj. atropine @ 0.04 mg/kg followed by inj. xylazine @ 1.0 mg/kg along with tiletamine-zolazepam @ 3.3 mg/kg in group 1 and dexmedetomidine @ 10 µg/kg along with tiletamine-zolazepam @ 4.5 mg/kg in group 2. Animals in both the groups showed smooth induction with adequate muscle relaxation and analgesia. Significant decrease in rectal temperature was noticed in both the groups, which improved during recovery. ECG parameters did not show significant difference from physiological values in majority of animals. Significant increase in heart rate was noticed after induction in both groups, which came back to normal resting values at the end of the study period. Non-invasive blood pressure showed non-significant increase in both the groups initially and later dropped lower than pre-anesthetic value. SpO2, EtCO2 and FiCO2 values remained within the normal range throughout the procedure. Significant decrease in respiration rate was noticed in both groups with no incidence of apnea. Haematological parameters reduced non-significantly at the end of the study period when compared with baseline value in both the groups. Biochemical parameters and electrolytes did not vary significantly throughout the study period except for glucose which showed a significant increase throughout the study in both the groups. Recovery period was longer in group 2. Vocalization with ataxia and head bobbing was noticed in some animals of group 1 and 2 which ended after recovery without any adverse consequences. The protocol used in the study provided safe and adequate anaesthesia for different surgical manipulations that can be performed under 60 min in dogs. more...

Background: Osteochondroma, the most common benign bone tumor, typically occurs in long bones but rarely in the carpus. When found in the carpus it poses diagnostic challenges, warranting differential diagnosis to distinguish it from other conditions like intercarpal joint degeneration, ligament lesions, nerve compression, or traumatic injuries. Case report: We present case of a 55-year-old male patient with 6 months of right wrist pain. The patient had no relevant history of trauma or prodromal symptoms. Hand examinations revealed a tenderness to palpation in the region of the scaphoid tubercle and scapho-trapezoidal joint. Sensory examination was normal. Surgery was performed to repair the torn FCR tendon and excise the lesion simultaneously. Histology revealed benign neoplasm composed of trabeculae of mature bone covered with an outer sheath of hyaline cartilage. Histomorphology was suggestive of osteochondroma. Post-operatively there was immediate pain relief. No recurrence was noted on follow-up visits. Conclusion: This case report contributes to the expanding body of knowledge on the clinical presentation, diagnosis, and management of scaphoid osteochondromas, highlighting the need for a nuanced approach to wrist pain, even in the absence of trauma or prodromal symptoms. Level of evidence: Level IV. more...

Background: There are very few reports of abnormal connections between medial antebrachial cutaneous nerve(MACN) and ulnar nerve(UN) of the upper extremity. This article describes an atypical ulnar nerve and medial antebrachial cutaneous nerve connection that was seen during an ulnar nerve transposition for tardy ulnar nerve palsy. Case report: A 28-years-old male presented with claw hand of left side. He reported feeling weaker in his hands while exercising, as well as medial sided elbow pain and ulnar sided hand numbness. Transposition of ulnar nerve anteriorly was difficult, as intraoperatively an ulnar nerve branch was found to be continuing towards the medical antebrachial cutaneous nerve. The branch was divided in order to transpose the ulnar nerve anteriorly. The recovery period was uneventful and no further complications were noted. Conclusion: These anatomical variations should be considered when performing upper limb surgeries, since abnormal connections may cause misidentification of the nerve, which may result in damage or inadequate treatment. more...

This paper presents DeepCKID, a Multi-Head Attention (MHA)-based deep learning model that exploits statistical and semantic knowledge corresponding to documents across different classes in the datasets to improve the model’s ability to detect minority class instances in imbalanced text classification. In this process, corresponding to each document, DeepCKID extracts — (i) word-level statistical and semantic knowledge, namely, class correlation and class similarity corresponding to each word, based on its association with different classes in the dataset, and (ii) class-level knowledge from the document using n-grams and relation triplets corresponding to classwise keywords present, identified using cosine similarity utilizing Transformers-based Pre-trained Language Models (PLMs). DeepCKID encodes the word-level and class-level features using deep convolutional networks, which can learn meaningful patterns from them. At first, DeepCKID combines the semantically meaningful Sentence-BERT document embeddings and word-level feature matrix to give the final document representation, which it further fuses to the different classwise encoded representations to strengthen feature propagation. DeepCKID then passes the encoded document representation and its different classwise representations through an MHA layer to identify the important features at different positions of the feature subspaces, resulting in a latent dense vector accentuating its association with a particular class. Finally, DeepCKID passes the latent vector to the softmax layer to learn the corresponding class label. We evaluate DeepCKID over six publicly available Amazon reviews datasets using four Transformers-based PLMs. We compare DeepCKID with three approaches and four ablation-like baselines. Our study suggests that in most cases, DeepCKID outperforms all the comparison approaches, including baselines. more...

This study aims to tackle the obstacles linked with geological image segmentation by employing sophisticated deep learning techniques. Geological formations, characterized by diverse forms, sizes, textures, and colors, present a complex landscape for traditional image processing techniques. Drawing inspiration from recent advancements in image segmentation, particularly in medical imaging and object recognition, this research proposed a comprehensive methodology tailored to the specific requirements of geological image datasets. To establish the dataset, a minimum of 50 images per rock type was deemed essential, with the majority captured at the University of Las Palmas de Gran Canaria and during a field expedition to La Isla de La Palma, Spain. This dual-source approach ensures diversity in geological formations, enriching the dataset with a comprehensive range of visual characteristics. The study involves the identification of 19 distinct rock types, each documented with 50 samples, resulting in a comprehensive database containing 950 images. The methodology involves two crucial phases: initial preprocessing of the dataset, focusing on formatting and optimization, and subsequent application of deep learning models—ResNets, Inception V3, DenseNets, MobileNets V3, and EfficientNet V2 large. Preparing the dataset is crucial for improving both the quality and relevance, thereby to ensure the optimal performance of deep learning models, the dataset was preprocessed. Following this, transfer learning or more specifically fine-tuning is applied in the subsequent phase with ResNets, Inception V3, DenseNets, MobileNets V3, and EfficientNet V2 large, leveraging pre-trained models to enhance classification task performance. After fine-tuning eight deep learning models with optimal hyperparameters, including ResNet101, ResNet152, Inception-v3, DenseNet169, DenseNet201, MobileNet-v3-small, MobileNet-v3-large, and EfficientNet-v2-large, comprehensive evaluation revealed exceptional performance metrics. DenseNet201 and InceptionV3 attained the highest accuracy of 98.49% when tested on the original dataset, leading in precision, sensitivity, specificity, and F-score. Incorporating preprocessing steps further improved results, with all models exceeding 97.5% accuracy on the preprocessed dataset. In K-Fold cross-validation (k = 5), MobileNet V3 large excelled with the highest accuracy of 99.15%, followed by ResNet101 at 99.08%. Despite varying training times, models on the preprocessed dataset showed faster convergence without overfitting. Minimal misclassifications were observed, mainly among specific classes. Overall, the study's methodologies yielded remarkable results, surpassing 99% accuracy on the preprocessed dataset and in K-Fold cross-validation, affirming the efficacy in advancing rock type understanding. more...

Repeated freeze-thaw (F&T) cycles substantially harm the durability of rocks, heightening the potential for landslides, rockslides, and avalanches. The current work investigates the effect of the F&T cycle on rock mass (biotite schist) samples. For this purpose, 32 rock samples were prepared and gathered from eight distinct locations in the northwest Himalayan region. For each sample, petrographical analysis and laboratory testing such as uniaxial compressive strength (UCS) and Brazilian tensile strength (BTS) are investigated at repeated (0th, 10th, 20th, and 30th) F&T cycles. Additionally, machine learning (ML) sequential models such as recurrent neural networks (RNN), gated recurrent units (GRU), and bi-directional long short-term memory (Bi-LSTM) are constructed to estimate the UCS and BTS under F&T conditions. Petrographical results show no change in the mineral indices, while there is a noticeable increase in aspect ratio but a significant decline in mean grain size with each successive 10th cycle, suggesting sample damage. The study also provides a comprehensive assessment of the ML models' performance, highlighting the Bi-LSTM model's superior accuracy among all models in terms of R2 (0.9850) and RMSLE (0.0100) during the TR stage and R2 (0.9020) and RMSLE (0.0170) during the TS stage for UCS prediction. Similarly, BTS prediction also shows superior precision, recording an R2 (0.7543) and RMSLE (0.0345) during TR and R2 (0.7404) and RMSLE (0.0213) during TS stages. The present study also explores the heatmap, line diagram, regression analysis, 2D kernel density plot, Taylor diagram, and DDR criterion for evaluating the model performance more clearly. more...

The use of medium and low-grade iron ore is gradually becoming more important due to the depletion of high-grade iron ore reserves and stringent environmental acts/rules. Slimes from iron ore washing were discarded in tailing dams; however, there is currently consideration for recovering iron values from ultra-fines as well. There are enormous fine dumps that are still unutilised. Hence, this study attempt to delve the optimization of iron ore slimes an indeed requirement for manufacturing and design in industries. Leveraging a flocculation process, coupled with the implementation of an Artificial Neural Network (ANN) predictive model, the Kiriburu processing plant serves as the primary source for iron ore slime samples. Chemical analyses of the collected iron samples reveal a composition featuring 58.24 % iron content, 3.47 % Al2O3, 4.72 % SiO2, and 5.18 % LOI (Loss on Ignition). The investigation explores the performance of the flocculation technique under varying pH levels, different pulp densities, and diverse flocculant dosages. Furthermore, the varying parameters selected are pH from 6 to 11, pulp density from 1 % to 15 %, and flocculant dose from 0.03 to 0.27 mg/g. The study's findings showcase a substantial improvement in the Fe grade of iron ore, escalating from 58.24 % to 66.12 %, with an impressive recovery rate of 82.54 % achieved using a flocculant dosage of 0.09 mg/g at pH 10. Additionally, a performance assessment of the selective flocculation method for iron ore slimes is conducted using an ANN predictive model, with recovery as the pivotal parameter. The input parameters for this model encompass pH, pulp density, and flocculant dosages. Employing a three-layer ANN model with a 3–3–1 architecture and utilizing feed-forward back propagation, the study demonstrates a close alignment between predicted values and experimental data, confirming the model's effectiveness for practical manufacturing applications. Information regarding the potential applications of the model's iron ore slime beneficiation efficacy for the manufacturing sector should be considered. This could entail lower waste, more effectiveness, or cost savings. Emphasise any possible ramifications for sustainability or the environment that would make the study pertinent in a larger perspective. more...

A solar-powered converter design is necessary for portable devices with increased gain and reduced ripple in overall operation. This research presents a photovoltaic-powered Field Programmable Gate Array (FPGA) based on increased gain multiple output converter design and analysis. The dynamic panel input makes it difficult to operate the load. To control and make the input static to satisfy the demand, perturb and observe with a load balancing algorithm technique are used. The converter gained output is high, and batteries are used to balance the loads when solar irradiance is low. Simulation results were carried out with the presented converter circuit that can be operated with a 12 V supply as input from a renewable power source. The output gain ratio of 14 to a minimum of 40 % duty cycle operating at a switching frequency of 20 kHz has been achieved. The proposed methodology is transferred to hardware by connecting with the reconfigurable FPGA Spartan-6 development board to manage the dynamic load control system's complex logic and high processing ability. The overall performance is compared with various pre-existing systems, tabulations are made with the analysis, and experimental results are also illustrated at the end. more...

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the wind energy industry, Wind Power Potential (WPP) is essential since it is critical to the development, operation, and optimization of wind power plants. WPP plays a significant role in the wind energy project life cycle, impacting site selection, project viability, technology choices, and ultimate success. This means that specific WPP for certain places need to be determined for development in wind industry.The goal of this study is to conduct a statistical comparison and analysis of the efficacy of various numerical methods, including the method of moments (MoM), the energy pattern factor method (EPFM), the maximum likelihood method (MLM), the energy density method (EDM), the energy pattern factor method of Sathyajith (EPFMS), Rayleigh's distribution (Rayl), and the novel energy pattern factor method (NEPFM). These methods are compared for different sites of Andhra Pradesh India. The NEPFM is considered the most effective approach for assessing the wind energy density in the regions of Visakhapatnam, Amaravati, and Tirupati. Conversely, the MLM (Modified Logarithmic Model) technique has demonstrated superior performance in evaluating the wind energy potential specifically for the Rajamahendravaram site. The Rayleigh distribution, also known as Rayl., was utilized as the primary approach for calculating the probability density of the geographical sites of Visakhapatnam, Rajamahendravaram, and Amaravati. Additionally, the energy pattern factor method was employed to analyze the site of Tirupati. The Rayleigh distribution is found to be the most suitable statistical model for estimating the cumulative density of site locations in Visakhapatnam and Amaravati. Similarly, the innovative energy pattern factor technique is recommended for analyzing the cumulative density of site locations in Rajamahendravaram and Tirupati. more...

Irrigation is a crucial component of the agriculture industry. The gross domestic output of India is about 15 % derived from its farmers. Crop failure is common among farmers, primarily because of inadequate irrigation techniques and irregular power and water supplies. To begin with, a survey of farmers from various parts of India was undertaken in this regard, and the results indicated that most of them lacked an effective irrigation system. An inventive solar-powered irrigation system devised and deployed to address this problem includes an automated Internet of Things (IoT) system. This IoT system, which functions based on the moisture content of the soil, plays a crucial role in ensuring that the crops receive the right amount of water at the right time. Furthermore, the PV pumping system addresses irrigation issues in various Indian climate conditions, including composite, warm and humid, cold, moderate, hot, and dry. The locations chosen for these climate conditions are Jaisalmer in Rajasthan, Bangalore in Karnataka, Itanagar in Arunachal Pradesh, Patna in Bihar, and Amaravati in Andhra Pradesh. Performance ratios range from 0.514 to 0.739, system and pump efficiencies from 61 % to 88.80 %, and 57.10 %–58.60 %, respectively. more...

Global groundwater contamination by Arsenic (As) presents a grave danger to the health of living beings and wildlife, demanding comprehensive remediation strategies. This review delves into the complex landscape of arsenic remediation, encompassing its chemical forms, occurrences, sources, and associated health risks. Advanced techniques, notably biomass-derived adsorbents, emerge as promising and cost-effective solutions. The exploration spans preparing and modifying biomass-derived adsorbents, unraveling their adsorption capacity, influencing factors, isotherms, kinetics, and thermodynamics. Noteworthy attention is given to plant-agricultural waste, algal-fungal-bacterial, and iron-modified biomass-derived adsorbents. The comprehensive discussion of the adsorption mechanism highlights the efficacy of low-cost biomass, particularly from plant, animal, and agricultural residues, offering a sustainable remedy for arsenic removal. This insightful review contributes to the understanding of evolving technologies essential for addressing arsenic contamination in wastewater, emphasizing the potential of renewable biomaterials in advancing efficient remediation practices. more...

Modern cancer diagnostics and treatment options have greatly improved survival rates; the illness remains a major cause of mortality worldwide. Current treatments for cancer, such as chemotherapy, are not cancer-specific and may cause harm to healthy cells; therefore, it is imperative that new drugs for cancer be developed that are both safe and effective. It has been found that lactic acid bacteria (LAB) have the potential to produce bacteriocins, which could potentially offer a promising alternative for cancer treatment. They have been shown in several studies to be effective against cancer cells while having no effect on healthy cells. More research is needed to fully understand the potential of LAB bacteriocins as anti-cancer medicines, to find the appropriate dose and delivery route, and to conduct clinical trials to evaluate the effectiveness and safety of the products in human patients, as is suggested by this work. Furthermore, LAB bacteriocins may evolve into a significant new class of anti-cancer drugs and food products. Patients with cancer may have a safe and effective alternative treatment option in the form of anti-cancer foods and drugs. Therefore, the aim of this study is to provide an in-depth analysis of the recent breakthroughs and potential future technical advancements of significant bacteriocins that are produced by LAB, how these bacteriocins function, and how these bacteriocins may be utilized as an anti-cancer agent. In addition, the current analysis emphasizes the significant constraints and boundaries that bacteriocins face when they are used as an anti-cancer factor. more...

Background: STI (Sexually Transmitted Infections) is common among ‘high-risk groups’ in India, a term used by the National AIDS Control Organization (NACO) which includes men who have sex with men (MSM) and others. Sexual transmission of HIV, most prominent STI between men could be a major cause for concern in most parts of India. HIV infection among MSM has been increasing in recent years round the world, particularly in Asia. Objectives: 1. To determine the sociodemographic characteristics of men who have sex with men. 2. To estimate the magnitude of sexually transmitted infections (STI) in men who have sex with men. Methods: A cross sectional study was carried out using structured, pretested questionnaire at Hind Kusht Nivaran Sangh, Mangaluru. Face to face interviews of the selected participants was done and data were recorded after obtaining their consent. Results: A total of 102 MSM were interviewed and the data was collected. The common presenting symptoms were pain while urinating (33.33 %) and least common was bleeding while defecating (1.9 %). The most common morbidity of study population was urinary tract infection (38.23 %) and proctitis (25.4 %) and 3.92 % subjects had HIV/AIDS. Conclusion: Health sector should include safe access to information and education about HIV and other STIs, condoms, water-based lubricants, HIV testing and counselling, and STI services. more...

Coinfection of pathogenic bacteria and viruses is associated with multiple diseases. During the COVID-19 pandemic, the co-infection of other pathogens with SARS-CoV-2 was one of the important determinants of the severity. Although primarily a respiratory virus gastric manifestation of the SARS-CoV-2 infection was widely reported. This study highlights the possible consequences of SARS-CoV-2 -Helicobacter pylori coinfection in the gastrointestinal cells. We utilized the transfection and infection model for SARS-CoV-2 spike Delta (δ) and H. pylori respectively in colon carcinoma cell line HT-29 to develop the coinfection model to study inflammation, mitochondrial function, and cell death. The results demonstrate increased transcript levels of inflammatory markers like TLR2 (p more...

The application of dynamic strain holds the potential to manipulate topological invariants in topological quantum materials. This study investigates dynamic structural deformation and strain modulation in the Weyl semimetal WTe2, focusing on the microscopic regions with static strain defects. The interplay of static strain fields, at local line defects, with dynamic strain induced from photo-excited coherent acoustic phonons results in the formation of local standing waves at the defect sites. The dynamic structural distortion is precisely determined utilizing ultrafast electron microscopy with nanometer spatial and gigahertz temporal resolutions. Numerical simulations are employed to interpret the experimental results and explain the mechanism for how the local strain fields are transiently modulated through light–matter interaction. This research provides the experimental foundation for investigating predicted phenomena such as the mixed axial-torsional anomaly, acoustogalvanic effect, and axial magnetoelectric effects in Weyl semimetals, and paves the road to manipulate quantum invariants through transient strain fields in quantum materials. more...

A 42-year-old male patient presented with complaints of vertigo, neck pain, swallowing difficulties, and difficulty in maintaining an upright posture. The patient took allopathic consultation for the complaints and was advised to undergo MDCT scan of brain, hematological and audiological evaluations. No abnormalities were detected in the investigations and he was given some medications for symptomatic management. As no relief was noted, the patient took an Ayurveda consultation. After clinical evaluation, the patient was advised to perform an X-ray of the cervical spine and was diagnosed with congenital block vertebrae at C3 – C4 vertebral bodies and posterior appendages with hypoplastic intervening disc space. He was advised to take Ekangveerarasa 250 mg BD before food with honey, Trayodashang guggulu 1 gm BD after food, Vishatinduka vati 250 mg BD after food, Aswagandha churna 3 gm BD after food with milk.The patient was also advised to do light massage and mild hot fomentation in the neck region twice a day with Mahavishagarbha oil. Remarkable relief was observed with all signs and symptoms including a reduction of score in the Neck Disability Index (NDI) within a very short duration of treatment. Considerable improvements were noted in the quality of life of the patient as confirmed by the WHO QOL BREF score. This case report shows that Ayurveda can offer safer and more effective symptomatic treatment for conditions like congenitally fused vertebrae. more...

Emmer wheat germplasm has received little attention with regard to exploring its genetic diversity toward enhancing utilization. Agro-morphological characterization was performed on 192 emmer wheat accessions during the winter season of 2019–2020, and subsequently 96 accessions were selected for morphological and molecular diversity analysis during the winter season of 2020–2021. Genetic diversity and population structure of 96 diverse Triticum dicoccum genotypes conserved in the National Genebank of India were estimated using 56 microsatellite (simple sequence repeat) markers. The number of alleles per locus ranged from one to six, with an average of 1.68 alleles. A total of 93 alleles were detected, with the highest polymorphic information content value (0.9912) observed for the Xcfd20 marker. Based on ‘STRUCTURE’ analysis, 96 dicoccum accessions were divided into two subpopulations. The analysis of molecular variance revealed that genetic differentiation among subpopulations was low and within subpopulations was high. A cluster analysis based on Jaccard’s dissimilarity index identified two clusters which were in congruence with the population structure. Indigenous and exotic collections were categorized into distinct subclusters within the same cluster with some overlapping suggesting limited genomic differentiation between these collections. Based on the present study, it is evident that cultivated emmer wheat showed low genetic diversity and a narrow genetic base. This might be due to limited cultivation in small pockets and emphasizes a need to broaden the genetic base of emmer wheat genetic resources for enhanced utilization. more...

Background: COVID-19 caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome) has created an alarming situation worldwide. The surface (S) glycoprotein of novel coronavirus, encoded by the genome of SARS-CoV-2, plays an role in attachment, fusion as well as entry into the host cell. The spike glycoprotein plays vital role in not only infection but pathogenesis and adaptive immunity, and, therefore, the S glycoprotein is considered as the main target for the development of effective and durable vaccine against SARS-CoV-2. Present study aims to compare the SARS-CoV-2 spike sequence obtained from first Wuhan virus with those of Asian SARS-CoV-2 isolates. Result: A total of 1165 mutations from 657 sequences of Asia submitted in the month of November 2020 to February 2021 were detected. Further, secondary structure prediction followed by protein modeling analysis was performed which revealed, these mutations, considerably altered the stability of Spike protein. Additionally, Physiochemical properties, toxicity, allergenicity and stability of spike glycoprotein were estimated to demonstrate the specificity of the epitope candidates. Subsequently, we identified a total of 34B-cell and 10 T-cell immune epitopes. Among the predicted epitopes, 26 B-cell and 9T-cell epitopes showed non-allergenic, non-toxic and highly antigenic properties. Conclusion: Taken together, our study showed spike glycoprotein of SARS-CoV-2 can be a potentially good candidate for the development of vaccine to curb SARS-CoV-2 infections. more...

High mortality has been reported in severe cases of COVID-19. Emerging reports suggested that the severity is not only due to SARS-CoV-2 infection, but also due to coinfections by other pathogens exhibiting symptoms like COVID-19. During the COVID-19 pandemic, simultaneous respiratory coinfections with various viral (Retroviridae, Flaviviridae, Orthomyxoviridae, and Picoviridae) and bacterial (Mycobacteriaceae, Mycoplasmataceae, Enterobacteriaceae and Helicobacteraceae) families have been observed. These pathogens intensify disease severity by potentially augmenting SARSCoV-2 replication, inflammation, and modulation of signaling pathways. Coinfection emerges as a critical determinant of COVID-19 severity, principally instigated by heightened pro-inflammatory cytokine levels, as cytokine storm. Thereby, in co-infection scenario, the severity is also driven by the modulation of inflammatory signaling pathways by both pathogens possibly associated with interleukin, interferon, and cell death exacerbating the severity. In the current review, we attempt to understand the role of co- infections by other pathogens and their involvement in the severity of COVID-19. more...

Seasonal variations directly impact the biochemical and microbial properties of the soil, influence carbon and nutrient cycling within the soil system. Soils under tree plantation (TP) are rich in organic matter and microbial population, making them more susceptible to seasonal variation. We studied the effect of seasonal variations in soil chemical properties (pH, electrical conductivity (EC), total organic carbon (TOC), total nitrogen (TN), C/N ratio etc) and microclimate (moisture and temperature) on microbial respiration (SR), biomass, and carbon (C) utilization efficiency under 13 years old Kadamb (Anthocephalus cadamba Miq.), Simaraubha (Simarouba glauca DC), and Litchi (Litchi chinensis Sonn.) based TPs in middle Gangetic region. In contrast to higher SR and metabolic quotient (qCO2) in winter, the microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN) in fall > summer > spring > winter, irrespective of TPs. The positive relationship between qCO2 and C/N ratios strongly supports the dependence of microbes on soil carbon for respiration. qCO2 had a significantly positive relationship with soil moisture (MC) and Electrical conductivity (EC), but a significantly negative relationship with temperature and pH. Higher MBN/TN and MBC/TOC ratios fall under simaraubha, and litchi-based TPs indicated more nitrogen (N) and carbon accumulation into microbial biomass. The seasonal variation of MBC/MBN ratios signifies the changes in microbial communities and fungi dominate over bacteria during winter, as bacteria have a lower C/N ratio than fungi. Stepwise regression analysis suggested that soil properties and micro-climate regulated microbial biomass and SR differ with TPs. Thus, the study indicates that microbial activities and biomass production can significantly influence by soil properties and seasonal variations under TPs. more...

Multi-epitope vaccines strategically tackle rapidly mutating viruses by targeting diverse epitopes from different proteins, providing a comprehensive and adaptable immune protection approach for enhanced coverage against various viral variants. This research employs a comprehensive approach that includes the mapping of immune cells activating epitopes derived from the six structural glycoproteins (A29L, A30L, A35R, L1R, M1R, and E8L) of Monkeypox virus (Mpox). A total of 7 T-cells-specific epitopes, 13 B-cells-specific epitopes, and 5 IFN-γ activating epitopes were forecasted within these glycoproteins. The selection process focused on epitopes indicating high immunogenicity and favorable binding affinity with multiple MHC alleles. Following this, a vaccine has been formulated by incorporating the chosen epitopes, alongside adjuvants (PADRE peptide) and various linkers (EAAAK, GPGPG, and AAY). The physicochemical properties and 3D structure of the multi-epitope hybrid vaccine were analysed for characterization. MD simulations were employed to predict the binding stability between the vaccine and various pathogen recognition receptors such as TLRs (TLR1, TLR2, TLR4, and TLR6), as well as both class I and II MHC, achieved through hydrogen bonding and hydrophobic interactions. Through in silico cloning and immune simulation, it was observed that the multi-epitopes vaccine induced a robust memory immune response upon booster doses, forecasting protective immunity upon viral challenge. This protective immunity was characterized by the production of IgM + IgG antibodies, along with release of inflammatory cytokines like IFN-γ, and IL12, and the activation of various immune cells. This study offers valuable insights into the potential of a multi-epitope vaccine targeting the Mpox virus. more...

Prefabricated construction, increasingly recognized as a sustainable method, enhances productivity while mitigating the drawbacks of traditional approaches. Lean construction, pivotal for sustainability, targets waste reduction and cost efficiency while delivering value to customers. In India's prefabrication sector, numerous barriers impede the implementation of lean principles, necessitating their identification and resolution to advance lean practices. This study aims to identify and analyze primary barriers to implementing lean principles within India's prefabrication industry, focusing on professionals' perceptions. Employing exploratory factor analysis, it examines these barriers' interconnections and causal relationships, providing actionable recommendations for enhanced lean construction effectiveness. Through a review of the literature, 26 significant barriers were identified and primary data was obtained with the help of a questionnaire. 25 barriers were discerned after pre-exploratory factor analysis, culminating in ten common components. Notably, the study highlights a primary barrier: understanding of lean construction. Drawing from expert insights, substantial recommendations are provided, intending to guide the prefabricated building sector in overcoming barriers to on-site lean construction. These findings and recommendations offer valuable direction for industry stakeholders. more...

This investigation delves into the behavior of copper oxide (CuO) as a solid lubricant inside zirconia toughened alumina (ZTA) ceramic composites. The investigation starts with the preparation of ZTA through co-precipitation followed by powder metallurgy to develop CuO (1.5 wt. %)/ZTA composites. In all cases, hot isotactic pressing is applied for densification. The fully densified samples are thoroughly mirror-polished to investigate the mechanical and tribological properties. A 1.8% reduction in micro-hardness and 6% improvement in fracture toughness are observed with incorporation of CuO into the ZTA matrices. The analysis reveals that the presence of ionic copper at the grain boundary leads to the formation of copper-rich phases, causing a decrease in hardness. However, the softer CuO particles contribute to crack bridging and crack deflection, enhancing fracture toughness. Subsequent investigation into the tribological properties highlights the positive influence of the softer CuO phases acting as a secondary component within the ZTA matrix. A significant enhancement of 39.34% in the Coefficient of Friction (COF) is achieved by incorporating CuO into the ZTA matrix. This improvement can be attributed to the formation of a patchy layer through smearing and squeezing actions on wear debris during sliding. The uniform patchy layer results in smoother and more polished surfaces, leading to an improvement in both the COF and specific wear rate. Further wear analysis reveals various phenomena contributing to surface wear, including pullout of grain particles, micro-fracture, high abrasions, and laminar removal of grains. Overall, the introduction of CuO proves to be beneficial, showcasing improved mechanical and tribological properties in the developed composites, with application in dies, inserts, sparkplugs, etc. more...

Lectins, glycoproteins with non-enzymatic and non-immunogenic origins, play essential roles in various biological processes. This study presents the purification and characterization of a lectin-like protein isolated from the seeds of Datura stramonium L., a member of the Solanaceae family. The purification of the lectin-like protein involved a dual method, employing both ammonium sulphate precipitation and anion exchange chromatography utilizing DEAE-Sepharose. Analysis via SDS-PAGE showed a distinct band, displaying an estimated molecular weight of approximately 30 kDa., indicative of the purified protein's homogeneity. Additionally, the purified protein exhibited hemagglutination activity towards human B and O red blood cells, underscoring its lectin-like properties. Periodic acid Schiff (PAS) staining confirmed the glycoprotein nature of the purified protein. Furthermore, its anti-proliferative activity against human cancer Caco-2 cell lines was evaluated through MTT assay, revealing promising results. This study elucidates the purification and characterization of a lectin-like protein from Datura stramonium L. seeds, providing valuable insights into its potential biological functions and diagnostic research applications. more...

Carbon dioxide (CO2) in the Earth's atmosphere is a significant greenhouse gas and plays a pivotal role in shaping the carbon dynamics of specific regions. Here, we have examined the spatio-temporal variations of atmospheric CO2 in the Bihar region of India and provided critical information regarding climate change mitigation. NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite retrieved dry air column average atmospheric CO2 concentrations (XCO2) datasets (2015-2021) are used to analyse hot/cold spots, anomalies, hot/cold moments, and their relationships with Bihar's climate and vegetation indices. The highest CO2 concentration (416 ± 1.5 ppm, hot moments) is found in April and May (summer season) and the lowest concentration (406 ± 1.6 ppm, cold moments) is seen in monsoon season. The results reveal that seasonal variations of XCO2 are instrumental in comprehending Bihar's annual carbon dynamics, impacting factors such as plant growth and crop yields. Anomalies and hotspots analyses identify Kaimur, Munger, and Paschim Champaran as significant hotspots, which are house of major industries, power stations, cement factories and mining sites. Moreover, the study shows significant negative correlations (p < 0.001) between XCO2 and various parameters, including Sun Induced Chlorophyll Fluorescence (SIF) at wavelengths 740 and 757, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and relative humidity. Particularly, NDVI and EVI changes explain XCO2 variability by 26 % (p < 0.001) and 24 % (p < 0.001), respectively. Additionally, relative humidity accounted for 37 % (p < 0.001) of the variance in XCO2. Our results indicate that the socio-economic condition of the study area has not been changed significantly during the study period. Further, the increase in afforestation activities has counterbalanced the small increase in CO2 due to developmental process over limited locations. These findings contribute significantly to our understanding of regional carbon dynamics of Bihar and their implications for climate change mitigation efforts. more...

Lead (Pb) is known to cause neurological changes, but antioxidants, chelators, and anti-inflammatory agents mitigates Pb toxicity. Previously, we reported antioxidant and anti-inflammatory effects of 3-hydroxy-3′,4′,5′-trimethoxyflavone (HTMF) derived from Ocimum basilicum L. leaves. This research investigates the neuroprotective properties of HTMF against Pb induced neurotoxicity in rats. Rats were orally administered lead acetate (100 mg/kg) daily for 30 days to induce neurotoxicity, then treated with HTMF (5 and 10 mg/kg) 30 min after Pb exposure. Cognitive and motor functions and brain biochemical parameters were determined to understand HTMF’s mechanism of action. Pb exposure impaired cognition and motor skills, elevated Pb levels, TBARS, TNF-α, IL-6 and MAO A & B, and reduced GSH levels in the brain. HTMF treatment significantly improved memory, motor deficits, and metabolic abnormalities induced by Pb, attributed to its chelating, antioxidative, anti-inflammatory, and monoaminergic modulating properties, suggesting its potential as a therapeutic agent for metal-induced brain injuries. more...