Evaluating land use and climate change impacts on Ravi river flows using GIS and hydrological modeling approach.

The study investigates the interplay of land use dynamics and climate change on the hydrological regime of the Ravi River using a comprehensive approach integrating Geographic Information System (GIS), remote sensing, and hydrological modeling at the catchment scale. Employing the Soil and Water Assessment Tool (SWAT) model, simulations were conducted to evaluate the hydrological response of the Ravi River to both current conditions and projected future scenarios of land use and climate change. This study differs from previous ones by simulating future land use and climate scenarios, offering a solid framework for understanding their impact on river flow dynamics. Model calibration and validation were performed for distinct periods (1999-2002 and 2003-2005), yielding satisfactory performance indicators (NSE, R2, PBIAS = 0.85, 0.83, and 10.01 in calibration and 0.87, 0.89, and 7.2 in validation). Through supervised classification techniques on Landsat imagery and TerrSet modeling, current and future land use maps were generated, revealing a notable increase in built-up areas from 1990 to 2020 and projections indicating further expansion by 31.7% from 2020 to 2100. Climate change projections under different socioeconomic pathways (SSP2 and SSP5) were derived for precipitation and temperature, with statistical downscaling applied using the CMhyd model. Results suggest substantial increases in precipitation (10.9 - 14.9%) and temperature (12.2 - 15.9%) across the SSP scenarios by the end of the century. Two scenarios, considering future climate conditions with current and future land use patterns, were analyzed to understand their combined impact on hydrological responses. In both scenarios, inflows to the Ravi River are projected to rise significantly (19.4 - 28.4%) from 2016 to 2100, indicating a considerable alteration in seasonal flow patterns. Additionally, historical data indicate a concerning trend of annual groundwater depth decline (0.8 m/year) from 1996 to 2020, attributed to land use and climate changes. The findings underscore the urgency for planners and managers to incorporate climate and land cover considerations into their strategies, given the potential implications for water resource management and environmental sustainability.

Clinical prognostication in acute necrotizing encephalopathy of childhood: the role of magnetic resonance imaging severity assessment.

BACKGROUND: Acute necrotizing encephalopathy of childhood is a unique entity with bilateral gray and white matter involvement. OBJECTIVE: The aim of this study is to explore whether the severity of findings on imaging scans is indicative of the prognosis and clinical outcomes for pediatric patients with acute necrotizing encephalopathy. MATERIALS AND METHODS: A retrospective cross-sectional study was conducted on 42 patients diagnosed with acute necrotizing encephalopathy. A severity score based on MR imaging was computed for each patient, utilizing a point system determined by the existence of factors such as hemorrhage, cavitation, enhancement, diffusion restriction, and lesion location. The scoring was categorized into mild, moderate, and severe. Clinical outcomes were determined at the time of discharge and at follow-ups as mild disability, moderate disability, severe disability, and death according to the modified Rankin Scale. Associations were determined by Fisher's exact test, chi-square test, and one-way ANOVA. RESULTS: The study included 21 boys and 21 girls with a mean age of 71.5 months. A statistically significant connection (P=0.027) was found between the severity score from MR imaging and the clinical outcome. A statistically significant relationship was also observed between diffusion restriction (P=0.008), cerebellar involvement (P=0.048), and an unfavorable clinical outcome. Additionally, individuals who experienced shock exhibited a correlation with adverse outcomes (P=0.01). CONCLUSION: In predicting the outcome of acute necrotizing encephalopathy, cerebellar involvement and presence of diffusion restriction were associated with worse clinical outcomes in our study. Developing a comprehensive MR-based severity score is crucial for improving diagnostic accuracy and patient outcomes. Our findings underscore the importance of including diffusion restriction and cerebellar involvement in the scoring system.

The effect of video-assisted learning on pre-operative knowledge and satisfaction for total knee arthroplasty surgery: a randomised-controlled study.

INTRODUCTION: Traditionally, surgical procedures are explained through consultations between the surgeon and the patient to ensure informed consent. Patient education enhances engagement and knowledge, aiding informed decision-making. This study aimed to assess the effect of an educational video on preoperative patient knowledge and satisfaction in the context of total knee arthroplasty (TKA) as an adjunct to the consent process. METHODS: A prospective randomized controlled study involving 100 patients in dedicated elective orthopedic units in UK-based hospitals was conducted. After consultation with a dedicated knee surgeon and a preoperative education day for TKA run by dedicated orthopedic nurse specialists, patients were randomized into one of two limbs (video vs no video) at a 1:1 ratio. The treatment group (video group) was shown a video about the principles and steps of the procedure, including the recovery time. Following this, a 10-point knowledge test was completed, and patients rated their satisfaction with the preoperative education on a scale of 0-10. RESULTS: Patients in the video limb group had a significantly greater mean knowledge score and greater satisfaction with preoperative education than patients who did not view the video. The video group (n = 49) had a mean knowledge score of 8.73 +/- 0.159 compared to 7.68 +/- 0.281 for the nonvideo limb (n = 50) (p < 0.05). The video group had a mean satisfaction score of 9.00 +/- 0.123 compared to 8.40 +/- 0.121 for the nonvideo limb group (p < 0.05). CONCLUSION: Video-assisted consent in total knee arthroplasty improves preoperative knowledge and patient satisfaction when used as an adjunct in the consent process. A simple, standardized video, either pre- or post-consultation could reinforce information that the patient receives in a simple effective manner, allowing for true informed consent.

Design and performance investigation of metamaterial-inspired dual band antenna for WBAN applications.

This paper presents the design and analysis of a metamaterial-based compact dual-band antenna for WBAN applications. The antenna is designed and fabricated on a 0.254 mm thick semi-flexible substrate, RT/Duroid® 5880, with a relative permittivity of 2.2 and a loss tangent of 0.0009. The total dimensions of the antenna are 0.26λo×0.19λo×0.002λo, where λo corresponds to the free space wavelength at 2.45 GHz. To enhance overall performance and isolate the antenna from adverse effects of the human body, it is backed by a 2×2 artificial magnetic conductor (AMC) plane. The total volume of the AMC integrated design is 0.55λo×0.55λo×0.002λo. The paper investigates the antenna's performance both with and without AMC integration, considering on- and off-body states, as well as various bending conditions in both E and H-planes. Results indicate that the AMC-integrated antenna gives improved measured gains of 6.61 dBi and 8.02 dBi, with bandwidths of 10.12% and 7.43% at 2.45 GHz and 5.80 GHz, respectively. Furthermore, the AMC integrated antenna reduces the specific absorption rate (SAR) to (>96%) and (>93%) at 2.45 GHz and 5.80 GHz, meeting FCC requirements for low SAR at both frequencies when placed in proximity to the human body. CST Microwave Studio (MWS) and Ansys High-Frequency Structure Simulation (HFSS), both full-wave simulation tools, are utilized to evaluate the antenna's performance and to characterize the AMC unit cell. The simulated and tested results are in mutual agreement. Due to its low profile, high gain, adequate bandwidth, low SAR values, and compact size, the AMC integrated antenna is considered suitable for WBAN applications.

Plateletcrit and absolute immature platelet count are not impacted by platelet transfusions: a single-centre prospective study.

BACKGROUND: This is the first study in which the impact of platelet transfusions on seven platelet indices was evaluated in platelet transfusion-dependent patients admitted in the ICU. STUDY DESIGN AND METHODS: Among a cohort of 21 ICU patients prospectively studied over eleven months, a total of 19 ICU patients were enrolled. Seven platelet indices were measured before and then, within 18-24 h, after platelet transfusions using the Sysmex XN-10 analyser and statistically investigated as follows: i) apheresis vs. pooled platelet transfusions; ii) pre- vs. post-platelet transfusions; and iii) platelet count (PC) increment vs. PC decrement group. RESULTS: A 79.2% of platelet transfusion episodes in ICU patients showed an increase in PC increment within 18-24 h, of which 73.7% had a peak percentage immature platelet fraction (%-IPF) above 10.0% during their stay. No difference was observed in the measurements of platelet indices between the apheresis and pooled platelet transfusion doses (all p > 0.05). Of the seven platelet indices investigated, plateletcrit (PCT) and absolute immature platelet count (A-IPF) were not influenced by platelet transfusions and thus proven to be stable (0.06 vs. 0.07%, p = 0.0901 and 4.6 vs. 4.9 × 109/L, p = 0.4559, respectively), despite their close proximity to platelet transfusion. But the overall effectiveness of these indices in detecting changes over time was not hindered. CONCLUSION: A-IPF and PCT are stable after platelet transfusions, regardless of whether patient's respond to or do not respond to platelet transfusion doses. PCT and A-IPF may thus prove useful in monitoring patient transfusion support and guiding management in thrombocytopenic patients.

Corn leaf disease: insightful diagnosis using VGG16 empowered by explainable AI.

The agricultural sector is pivotal to food security and economic stability worldwide. Corn holds particular significance in the global food industry, especially in developing countries where agriculture is a cornerstone of the economy. However, corn crops are vulnerable to various diseases that can significantly reduce yields. Early detection and precise classification of these diseases are crucial to prevent damage and ensure high crop productivity. This study leverages the VGG16 deep learning (DL) model to classify corn leaves into four categories: healthy, blight, gray spot, and common rust. Despite the efficacy of DL models, they often face challenges related to the explainability of their decision-making processes. To address this, Layer-wise Relevance Propagation (LRP) is employed to enhance the model's transparency by generating intuitive and human-readable heat maps of input images. The proposed VGG16 model, augmented with LRP, outperformed previous state-of-the-art models in classifying corn leaf diseases. Simulation results demonstrated that the model not only achieved high accuracy but also provided interpretable results, highlighting critical regions in the images used for classification. By generating human-readable explanations, this approach ensures greater transparency and reliability in model performance, aiding farmers in improving their crop yields.

Estimation of Prediction Intervals for Performance Assessment of Building Using Machine Learning.

This study utilizes artificial neural networks (ANN) to estimate prediction intervals (PI) for seismic performance assessment of buildings subjected to long-term ground motion. To address the uncertainty quantification in structural health monitoring (SHM), the quality-driven lower upper bound estimation (QD-LUBE) has been opted for global probabilistic assessment of damage at local and global levels, unlike traditional methods. A distribution-free machine learning model has been adopted for enhanced reliability in quantifying uncertainty and ensuring robustness in post-earthquake probabilistic assessments and early warning systems. The distribution-free machine learning model is capable of quantifying uncertainty with high accuracy as compared to previous methods such as the bootstrap method, etc. This research demonstrates the efficacy of the QD-LUBE method in complex seismic risk assessment scenarios, thereby contributing significant enhancement in building resilience and disaster management strategies. This study also validates the findings through fragility curve analysis, offering comprehensive insights into structural damage assessment and mitigation strategies.

In silico homology modeling of dengue virus non-structural 4B (NS4B) protein and its molecular docking studies using triterpenoids.

BACKGROUND: Dengue fever has become a significant worldwide health concern, because of its high morbidity rate and the potential for an increase in mortality rates due to lack of adequate treatment. There is an immediate need for the development of effective medication for dengue fever. METHODS: Homology modeling of dengue virus (DENV) non-structural 4B (NS4B) protein was performed by SWISS-MODEL to predict the 3D structure of the protein. Structure validation was conducted using PROSA, PROCHECK, Ramachandran plot, and VERIFY-3D. MOE software was used to find out the in-Silico inhibitory potential of the five triterpenoids against the DENV-NS4B protein. RESULTS: The SWISS-MODEL was employed to predict the three-dimensional protein structure of the NS4B protein. Through molecular docking, it was found that the chosen triterpenoid NS4B protein had a high binding affinity interaction. It was observed that the NS4B protein binding energy for 15-oxoursolic acid, betulinic acid, ursolic acid, lupeol, and 3-o-acetylursolic acid were - 7.18, - 7.02, - 5.71, - 6.67 and - 8.00 kcal/mol, respectively. CONCLUSIONS: NS4B protein could be a promising target which showed good interaction with tested triterpenoids which can be developed as a potential antiviral drug for controlling dengue virus pathogenesis by inhibiting viral replication. However, further investigations are necessary to validate and confirm their efficacy.

Misoprostol for non-alcoholic steatohepatitis: a randomised control trial.

INTRODUCTION: The management of non-alcoholic steatohepatitis (NASH) is an unmet clinical need. Misoprostol, a structural analogue of naturally occurring prostaglandin E1, has been reported to decrease proinflammatory cytokine production and may have a potential role in treating NASH. We aimed to evaluate the efficacy and safety of misoprostol in treating patients with NASH. METHODS: In this phase 2, double-blind, randomised, placebo-controlled trial, patients with NASH were randomly assigned in a 1:1 ratio to receive 200 µg of misoprostol or placebo thrice daily for 2 months. The primary endpoint was an improvement in liver function tests (LFTs), interleukin-6 (IL-6) and endotoxin levels. The secondary endpoint was improvement in insulin resistance, dyslipidaemia, hepatic fibrosis and hepatic steatosis. RESULTS: A total of 50 patients underwent randomisation, of whom 44 (88%) were males. The age range was 25-64 years (mean±SE of mean (SEM) 38.1±1.4). 19 (38%) patients had concomitant type 2 diabetes mellitus. 32 (64%) patients were either overweight or obese. At the end of 2 months' treatment, a reduction in total leucocyte count (TLC) (p=0.005), alanine aminotransferase (ALT) (p<0.001), aspartate aminotransferase (AST) (p=0.002) and controlled attenuation parameter (CAP) (p=0.003) was observed in the misoprostol group, whereas placebo ensued a decline in ALT (p<0.001), AST (p=0.018), gamma-glutamyl transferase (GGT) (p=0.003), CAP (p=0.010) and triglycerides (p=0.048). There was no diminution in insulin resistance, hepatic fibrosis (elastography) and dyslipidaemia in both groups. However, misoprostol resulted in a significant reduction in CAP as compared with the placebo group (p=0.039). Moreover, in the misoprostol group, pretreatment and post-treatment IL-6 and endotoxin levels remained stable, while in the placebo group, an increase in the IL-6 levels was noted (p=0.049). Six (12%) patients had at least one adverse event in the misoprostol group, as did five (10%) in the placebo group. The most common adverse event in the misoprostol group was diarrhoea. No life-threatening events or treatment-related deaths occurred in each group. CONCLUSION: Improvement in the biochemical profile was seen in both misoprostol and placebo groups without any statistically significant difference. However, there was more improvement in steatosis, as depicted by CAP, in the misoprostol group and worsening of IL-6 levels in the placebo group. TRIAL REGISTRATION NUMBER: NCT05804305.

Andrographolide exhibits antinociceptive effects in neuropathic rats via inhibiting class â ¡ MHC associated response and regulating synaptic plasticity.

BACKGROUND: Neuropathic pain (NP) due to nerve injury, disrupts neural plasticity by triggering the release of inflammatory mediators. Alongside the hypothesis that neuro-inflammation contributes to this disruption, Andrographolide (Andro), a traditional bioactive compound derived from Andrographis paniculata, has garnered attention for its potent anti-inflammatory properties. However, whether Andro could ameliorate NP by regulating neuroinflammation remains unknown. PURPOSE: This study aimed to investigate whether and how Andro regulates neuroinflammation and alleviates NP. METHODS: The analgesic effects of Andro on NP were evaluated using both the spinal nerve ligation (SNL) and formalin rat models. A combination of network pharmacology, RNA sequencing, and experimental validation was employed to elucidate the underlying mechanism behind Andro's analgesic effects. Additionally, various techniques such as functional ultrasound, immunohistochemistry, quantitative real-time polymerase chain reaction (qPCR), patch clamp, and electron microscopy were employed to investigate the specific neural cell types, neural functions, and changes in neural plasticity influenced by Andro. RESULTS: Network pharmacology analysis unveiled the crucial roles played by shared targets of Andro and pain in regulating pain-related inflammation, including microglia activation, neuroinflammation, immune modulation, and synaptic transmission. Furthermore, we confirmed Andro's superior efficacy in pain relief compared to the traditional analgesic drug, Gabapentin. In these models, Andro was observed to modulate the haemodynamic response triggered by SNL. Transcriptome analysis and molecular docking studies indicated the involvement of major histocompatibility complex class II (MHCII) genes (Db1, Da, and Bb). Electron microscopy revealed improvements in synaptic ultrastructure, and electrophysiological investigations showed a selective reduction in glutamatergic transmission in neuropathic rats after following Andro treatment. The integration of systems pharmacology analysis and biological validation collectively demonstrated that the mechanism of pain relief involves immune modulation, enhancement of synaptic plasticity, and precise regulation of excitatory neurotransmission. CONCLUSION: In conclusion, this study has demonstrated that Andro, by targeting MHCII genes, may serve as a promising therapeutic candidate for neuropathic pain.

Pt-N catalytic centres concisely enhance interfacial charge transfer in amines functionalized Pt@MOFs for selective conversion of CO2 to CH4.

Improving ligand-to-active metal charge transfer (LAMCT) by finely tuning the organic ligand is a decisive strategy to enhance charge transfer in metal organic frameworks (MOFs)-based catalysts. However, in most MOFs loaded with active metal catalysts, electron transmission encounters massive obstacle at the interface between the two constituents owing to poor LAMCT. Herein, amines (-NH2) functionalized MOFs (NH2-MIL-101(Cr)) encapsulated active metal Pt nanoclusters (NCs) catalysts are synthesized by the polyol reduction method and utilized for the photoreduction of CO2. Surprisingly, the introduction of -NH2 (electron donating) groups within the matrix of MIL-101(Cr) improved the electron migration through the LAMCT process, fostering a synergistic interaction with Pt. The combined experimental analysis exposed the high number of metallic Pt (Pt0) in Pt@NH2-MIL-101(Cr) catalyst through seamless electron shuttling from N of -NH2 group to excited Pt generating versatile hybrid Pt-N catalytic centres. Consequently, these versatile hybrid catalytic centres act as electro-nucleophilic centres, which enable the efficient and selective conversion of CO bond in CO2 to harvest CH4 (131.0 µmol.g-1) and maintain excellent stability and selectivity for consecutive five rounds, superior to Pt@MIL-101(Cr) and most reported catalysts. Our study verified that the precise tuning of organic ligands in MOFs immensely improves the surface-active centres, electron migration, and catalytic selectivity of the excited Pt NCs catalysts encaged inside MOFs through an improved LAMCT pathway.

Examining treatment targets and equity in bone-active medication use within secondary fracture prevention: a systematic review and meta-analysis.

PURPOSE: This systematic review seeks to evaluate the proportion of fragility fracture patients screened in secondary fracture prevention programs who were indicated for pharmacological treatment, received prescriptions for bone-active medications, and initiated the prescribed medication. Additionally, the study aims to analyze equity in pharmacological treatment by examining equity-related variables including age, sex, gender, race, education, income, and geographic location. METHODS: We conducted a systematic review to ascertain the proportion of fragility fracture patients indicated for treatment who received prescriptions and/or initiated bone-active medication through secondary fracture prevention programs. We also examined treatment indications reported in studies and eligibility criteria to confirm patients who were eligible for treatment. To compute the pooled proportions for medication prescription and initiation, we carried out a single group proportional meta-analysis. We also extracted the proportions of patients who received a prescription and/or began treatment based on age, sex, race, education, socioeconomic status, location, and chronic conditions. RESULTS: This review included 122 studies covering 114 programs. The pooled prescription rate was 77%, and the estimated medication initiation rate was 71%. Subgroup analysis revealed no significant difference in treatment initiation between the Fracture Liaison Service and other programs. Across all studies, age, sex, and socioeconomic status were the only equity variables reported in relation to treatment outcomes. CONCLUSION: Our systematic review emphasizes the need for standardized reporting guidelines in post-fracture interventions. Moreover, considering equity stratifiers in the analysis of health outcomes will help address inequities and improve the overall quality and reach of secondary fracture prevention programs.

NCPbook: A comprehensive database of noncanonical peptides.

Noncanonical peptides (NCPs) are a class of peptides generated from regions previously thought of as noncoding, such as introns, 5' UTRs, 3' UTRs, and intergenic regions. In recent years, the significance and diverse functions of NCPs have come to light, yet a systematic and comprehensive NCP database remains absent. Here, we developed NCPbook (https://ncp.wiki/ncpbook/), a database of evidence-supported NCPs, which aims to provide a resource for efficient exploration, analysis, and manipulation of NCPs. NCPbook incorporates data from diverse public databases and scientific literature. The current version of NCPbook includes 180,676 NCPs across 29 different species, evidenced by MS, ribosome profiling, or molecular experiments. These NCPs are distributed across kingdoms, comprising 123,408 from 14 plant species, 56,999 from 7 animal species, and 269 from 8 microbial species. Furthermore, NCPbook encompasses 9,166 functionally characterized NCPs playing important roles in immunity, stress resistance, growth, and development. Equipped with a user-friendly interface, NCPbook allows users to search, browse, visualize, and retrieve data, making it an indispensable platform for researching NCPs in various plant, animal, and microbial species.

Ion-Induced Swelling Behavior of Articular Cartilage due to Non-Newtonian Flow and Its Effects on Fluid Pressure and Solid Displacement.

In this study, we examine the behavior of articular cartilage equilibrated in a salt (NaCl) solution during non-Newtonian fluid flow that follows an Ostwald-de Waele model. A linearly elastic and isotropic rectangular strip of cartilage is considered for analysis. A continuum theory of mixtures has been employed to develop a coupled system of partial differential equations for the solid displacement and the fluid pressure by considering the important factor of the ion concentration by assuming the cartilage as a deformable porous media. The coupled system of partial differential equations is solved using the numerical method named method of lines. In most cases, shear-thinning fluid is compared to the shear-thickening fluid to magnify the difference. Graphical results show that shear-thickening fluids bring more solid deformation and shows less fluid pressure in comparison to the shear-thinning fluids.

On the effect of loading and printing parameters that influence the fatigue behavior of laser powder-bed fusion additively manufactured steels.

The aim of this paper is to investigate the factors (build orientation, sample conditions, and R-ratio) that affect the cyclic response of laser powder-bed fusion stainless steel 316L and 17-4 PH parts. Initially, the data set was analyzed to confirm the normality assumption. The significant and insignificant factors that affect the fatigue life were identified using analysis of variance (ANOVA). Main effects for different sample conditions were also analyzed. Process and reproducibility assessment were performed to study the effect of process factors. Combining fatigue data sets was recommended as the best approach to accurately predict the fatigue behavior of LPBF 316L and 17-4 PH parts. Finally, the effect of sample conditions on fatigue life was quantified. The highest fatigue life was achieved with Machined-Polished surfaces.

Association Between Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) Scoring and Pathological Severity of Acute Appendicitis: A Cross-Sectional Study.

Background and objectives Appendicitis is a frequent cause of abdominal pain. Because of the limited availability of imaging services in many medical centers and an urge to reduce the substantial number of unnecessary appendectomies, several clinical diagnostic tools have been constructed. A novel diagnostic tool, referred to as the Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) score, has been created to assist in identifying acute appendicitis (AA) in Asian nations. The study aimed to assess the correlation between RIPASA scores and the severity of appendicitis as determined by pathological examination. Materials and methods The study was a prospective observational investigation undertaken in the Department of General Surgery at Muslim education society (MES) Medical College Perinthalmanna over 12 months. The study included all patients who had been diagnosed with AA and underwent appendectomy, provided they satisfied both the inclusion and exclusion criteria. An analysis was conducted on a convenience sample of 225 individuals using a prestructured proforma. The RIPASA scores were estimated before their surgery, taking into account their age, gender, symptoms, physical examination findings, and laboratory findings. These scores were subsequently contrasted with the histopathological results obtained after the appendectomy. The individuals were categorized into three groups according to their RIPASA scores. The lower-score category, scores between 4 and 7. The intermediate-score category consists of scores ranging from 7.5 to 11.5, while the higher-score category includes scores of 12 and above. These scores are correlated with the histopathology report (HPR) to determine the presence of appendicitis, perforated appendix, appendicular abscess, or the absence of pathology observed. Results The study population comprised of 137 (60.9%) males and 88 (39.1%) females. Among these, 177 individuals (78.7%) were younger than 40 years, while 48 individuals (21.3%) were older than 40 years. Out of 225 cases, 146 cases were AA (64.9%), 27 (12%) appendicular abscess cases, and 41 (18.2%) appendicular perforation cases. The normal appendix was noted in 11 out of 225 cases in the low-score group. The association between the histopathological report and RIPASA score was found to be statistically highly significant (p=0.000). In the low-score group, there were 14 cases of appendicitis (53.8%), one case of appendicular abscess (3.8%), a total of 11 cases without pathology observed (42.3%), and no reported instances of appendicular perforation. In the intermediate-score category, there were 121 cases of appendicitis (89.6%), 12 cases of appendicular abscess (8.9%), 2 cases of appendicular perforation (1.5%), and no reported cases in the non-pathology category. Among the high-score category, there were 11 cases of appendicitis (17.2%), 14 cases of appendicular abscess (21.9%), 39 cases of appendicular perforation (60.9%), and no reported instances of negative appendectomy. Conclusion The study has shown that the RIPASA scoring system had a high diagnostic efficacy in identifying AA. This scoring system is an effective, dependable, cost-effective, noninvasive, reproducible, and safe diagnostic technique that does not require additional expenses or concerns.

Optimization and Detergent Compatibility of Protease Produced from Aspergillus oryzae by Utilizing Agro Wastes.

The biotechnological process called solid-state fermentation (SSF) was applied for hyper production of protease by using a fungal strain called Aspergillus oryzae. From screening of 9 different local substrates (peanut shell, wheat bran, guava leaves, sugar cane bagasse, rice polish, wheat straw, corn straw, reed grass, and rice straw), peanut shells serve as the best substrates for protease production under optimized cultured conditions. The varying physiochemical parameters such as pH (2-9.5), temperature (30-52 °C), incubation time (1-10 days), inoculum size (1-8 mL), moisture level (20-125%), and substrate concentration (1-7 g) were optimized by response surface methodology (RSM). The highest activity of protease was recorded to be 1101.778 U/mL at 660 nm using peanut shell was optimum at pH 8, temperature 52 °C, incubation time 8 days, inoculum size 2 mL, moisture level 20%, and substrate concentration 2 g. The crude form of enzymes produced were further purified through ammonium sulfate precipitation, dialysis, and gel filtration chromatography. Then, purified enzymes were characterized at different pH, temperature, and incubation time. For characterization of purified protease, pH, temperature, and incubation time were 8, 52 °C, and 8 days for peanut shell and was done by one factor at a time method. Hence, isolated enzymes were alkaline in nature, i.e., alkaline proteases. Then, protease produced from peanut shells was applied to locally available detergents to increase their catalytic activity for strain removal. At last, the final results were interpreted in the form of 3D surface and contour plots using Microsoft Excel 2013 and Minitab 17 software. In conclusion, the utilization of A. oryzae and peanut shell as the substrate in the biotechnological process of SSF demonstrated successful hyper production of alkaline protease. The optimized conditions resulted in high enzyme activity and showcased the potential application of the isolated enzymes in improving the catalytic activity of locally available detergents.

Clinical, Histopathological, and Radiological Profile of Patients Presenting With Thyroid Malignancies Among the Kerala Population.

BACKGROUND AND OBJECTIVE: Thyroid cancer, though relatively uncommon among all cancer types, stands as the primary form of endocrine tumor. Over the last 20 years, there has been a significant uptick in its occurrence. Papillary thyroid carcinoma (PTC), which is well-differentiated, emerges as the dominant subtype, in regions where iodine levels are deemed adequate. The study aimed to study the clinicopathological profile of patients diagnosed with thyroid malignancies at the Muslim Educational Society (MES) Medical College Perinthalmanna. MATERIALS AND METHODS: This is a retrospective study undertaken at the MES Medical College by the Department of General Surgery and Endocrine Surgery. The study focuses on patients who have been diagnosed with thyroid cancer through a biopsy. Case sheets of all those patients diagnosed with thyroid malignancy were referred from the Medical Records Library to collect the relevant medical and sociodemographic data. This data was entered in the proforma, which was transferred to the Excel sheet and processed in IBM SPSS Statistics for Windows, Version 20 (Released 2011; IBM Corp., Armonk, New York, United States). RESULTS: The study included predominantly middle-aged individuals (40-60 years), with 22 (55%) falling within this age range, followed by 14 (35%) aged between 20 and 40 years, and only four (10%) above 60 years. Female patients constituted 82.5% of the study group. Most cases presented with swelling lasting less than six months 23 (57.5%), while only four (10%) had swelling lasting more than five years. Compression symptoms were rare, with only three (7.5%) experiencing dysphagia or dyspnea. Pain was reported in two (5%) of the cases. Hypothyroidism, toxic manifestations, or hoarseness were observed in one (2.5%) of the patients. Regarding swelling characteristics, most were greater than 4 cm in size (29, 72%) and firm in consistency (25, 62.5%). Nodular surfaces were present in 19 (47.5%) of the cases, while 38 (95%) of the swellings were mobile. Palpable lymph nodes were noted in 13 (32.5%) of cases. Radiologically, hypoechoic lesions were observed in 26 (65%) of cases, with microcalcification in 29 (72.5%) and peripheral vascularity in 31 (77.5%). Papillary carcinoma was the most common histological type (34, 85%), with medullary and follicular carcinomas accounting for five (12.5%) and one (2.5%), respectively. An association was found between the duration of swelling and histological type (p = 0.05) and between the mobility of swelling and histological type (p < 0.05). However, no significant associations were observed between imaging findings and histological type (p > 0.05). The gender distribution did not show a statistically significant association with histological type. CONCLUSION: The findings of the study revealed a statistically insignificant association between age, gender, clinical features, and the histological type of thyroid malignancy. Additionally, there was no statistically significant association between the histological type of thyroid malignancy and the size or type of surface or consistency of thyroid swelling or ultrasonographic findings of the swelling like echogenicity, microcalcification, increased peripheral vascularity, or loss of peripheral halo.

Urban residential building stock synthetic datasets for building energy performance analysis.

The urban building stock dataset consists of synthetic input and output data for the energy simulation of one million buildings. The dataset consists of four different residential types, namely: terraced, detached, semi-detached, and bungalow. Constructing this buildings dataset requires conversion, categorization, extraction, and analytical processes. The dataset (in .csv) format comprises 19 input parameters, including advanced features such as HVAC system parameters, building fabric (walls, roofs, floors, door, and windows) U-values, and renewable system parameters. The primary output parameter in the dataset is Energy Use Intensity (EUI in kWh/(m2*year)), along with Energy Performance Certificate (EPC) labels categorized on an A to G rating scale. Additionally, the dataset contains end-use demand output parameters for heating and lighting, which are crucial output parameters. jEPlus, a parametric tool, is coupled with EnergyPlus and DesignBuilder templates to facilitate physics-based parametric simulations for generating the dataset. The dataset can be a valuable resource for researchers, practitioners, and policymakers seeking to enhance sustainability and efficiency in urban building environments. Furthermore, dataset holds immense potential for future research in the field of building energy analysis and modeling.