Leveraging thiol-functionalized biomucoadhesive hybrid nanoliposome for local therapy of ulcerative colitis.

Directly administering medication to inflamed intestinal sites for treating ulcerative colitis (UC), poses significant challenges like retention time, absorption variability, side effects, drug stability, and non-specific delivery. Recent advancements in therapy to treat colitis aim to improve local drug availability that is enema therapy at the site of inflammation, thereby reducing systemic adverse effects. Nevertheless, a key limitation lies in enemas' inability to sustain medication in the colon due to rapid peristaltic movement, diarrhea, and poor local adherence. Therefore, in this work, we have developed site-specific thiolated mucoadhesive anionic nanoliposomes to overcome the limitations of conventional enema therapy. The thiolated delivery system allows prolonged residence of the delivery system at the inflamed site in the colon, confirmed by the adhesion potential of thiolated nanoliposomes using in-vitro and in-vivo models. To further provide therapeutic efficacy thiolated nanoliposomes were loaded with gallic acid (GA), a natural compound known for its antibacterial, antioxidant, and potent anti-inflammatory properties. Consequently, Gallic Acid-loaded Thiolated 2,6 DALP DMPG (GATh@APDL) demonstrates the potential for targeted adhesion to the inflamed colon, facilitated by their small size 100 nm and anionic nature. Therapeutic studies indicate that this formulation offers protective effects by mitigating colonic inflammation, downregulating the expression of NF-κB, HIF-1α, and MMP-9, and demonstrating superior efficacy compared to the free GA enema. The encapsulated GA inhibits the NF-κB expression, leading to enhanced expression of MUC2 protein, thereby promoting mucosal healing in the colon. Furthermore, GATh@APDL effectively reduces neutrophil infiltration and regulates immune cell quantification in colonic lamina propria. Our findings suggest that GATh@APDL holds promise for alleviating UC and addressing the limitations of conventional enema therapy.

Three-Dimensional Printed Lingual Arch Space Maintainer: A Game Changer in Pediatric Dentistry.

Early loss of deciduous teeth is a challenging situation to handle. In recent years, the loss of deciduous teeth has become very frequent because of the increased risk of caries. Space maintainers play a vital role in preventing space loss. Lingual arch space maintainers are effectively used to maintain space in the lower arch. In order to retain the length of the lower arch and to prevent mesial migration of the mandibular first permanent molar, lingual arch space maintainers are often indicated. Conventional lingual arch fabrication is technique-sensitive and cumbersome. Additionally, it has many documented drawbacks like solder breakage, cement loss, soft tissue lesions, etc. With the advent of newer technology like three-dimensional (3D) printing, the fabrication of appliances and prostheses has become more predictable, accurate, and relatively easier. The present case report highlights the technique and advantages of 3D printing to fabricate lingual arch space maintainers, which has the potential to revolutionize preventive orthodontics in pediatric dentistry.

Recognition of inscribed cursive Pashtu numeral through optimized deep learning.

Pashtu is one of the most widely spoken languages in south-east Asia. Pashtu Numerics recognition poses challenges due to its cursive nature. Despite this, employing a machine learning-based optical character recognition (OCR) model can be an effective way to tackle this issue. The main aim of the study is to propose an optimized machine learning model which can efficiently identify Pashtu numerics from 0-9. The methodology includes data organizing into different directories each representing labels. After that, the data is preprocessed i.e., images are resized to 32 × 32 images, then they are normalized by dividing their pixel value by 255, and the data is reshaped for model input. The dataset was split in the ratio of 80:20. After this, optimized hyperparameters were selected for LSTM and CNN models with the help of trial-and-error technique. Models were evaluated by accuracy and loss graphs, classification report, and confusion matrix. The results indicate that the proposed LSTM model slightly outperforms the proposed CNN model with a macro-average of precision: 0.9877, recall: 0.9876, F1 score: 0.9876. Both models demonstrate remarkable performance in accurately recognizing Pashtu numerics, achieving an accuracy level of nearly 98%. Notably, the LSTM model exhibits a marginal advantage over the CNN model in this regard.

Naphthalimide-based light-induced nitric oxide-releasing nanoscale vesicles with visual detection and cytotoxicity studies.

The therapeutic potential of nitric oxide (NO) has been receiving increasing interest, but achieving controlled release under physiological conditions remains challenging. Herein, we report a colorimetric and fluorescence responsive naphthalimide-based amphiphilic N-nitroso-based NO donor (Nap-NO) and its NO-releasing behavior. Nap-NO was incorporated into phospholipid nanovesicles to make it biocompatible and water-soluble. Light-induced NO-releasing behavior and emission changes were monitored via UV-vis, colorimetric detection, IR (Infrared) spectroscopy studies, and Griess assay. The Nap-NO donor within the 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC)-cholesterol vesicles exhibited a slower release rate, with a significantly extended half-life as compared to the only DOPC vesicles. Incorporating the Nap-NO into alginate hydrogel beads enables a simple, visual detection of NO release through color and emission changes. Bioimaging experiments within the HCT cell line reveal the use of the new NO donor for fluorescent bio-imaging and clearly illustrate their proficiency in killing cancer cells upon NO delivery in the presence of light.

Collaboration cognizance: Development of a self-assessment tool to measure intra-professional collaborative practices (IPCP) in postgraduate medical residents at tertiary care hospitals.

BACKGROUND: The ever-evolving healthcare system of today demands physicians who steer their roles as treatment providers, managers and collaborators. Professionals are highly interdependent due to increased complexity of health problems and risk of errors increases with transitions in care. In hospitals, the main workforce is postgraduate residents; therefore, intraprofessional collaboration amongst residents is essential. Several instruments are available to evaluate interprofessional collaboration amongst physicians, nurses and hospital teams but none specifically assessed intra-professional collaborative practices amongst residents working in tertiary care hospitals in multi-disciplinary teams. This study intends to develop and validate an instrument to self-assess intraprofessional collaborative practices in postgraduate residents undergoing residency in multiple specialties at tertiary care hospitals. APPROACH: This study on Instrument Development employed mixed method study design executed in two phases. In phase 1, six domains of intraprofessional collaborative practices were identified from literature and 35 items were developed. Fifteen experts participated in qualitative content validation and provided comments. To establish content validity in phase 2, content validity index (CVI) and content clarity average (CCA) were assessed by seventeen experts. Response process validity was established by cognitive interviewing of 5 postgraduate residents. Pilot testing was done on a sample of 407 residents. Cronbach's alpha was determined, and confirmatory factor analysis established construct validity. RESULTS: During phase 1, items were modified based on qualitative feedback from 15 experts. In round 2, CVI and CCA were determined based on responses of 17 experts. The items having an I-CVI greater than 0.90 were accepted and six items underwent modifications as their I-CVI fell between 0.78 and 0.90. Similarly, four items with a CCA of less than 2.4 were modified to increase clarity. Cognitive interviews of participants on 30 items resulted in the deletion of 1 item and changes in 5 items. The final instrument had 29 items categorized under six constructs. All items had good factor loadings during CFA, so none was deleted. Cronbach's Alpha α was 0.937. CONCLUSION: Intraprofessional collaborative practices in residents is a valid and reliable self-assessment tool comprising 29 items measuring six constructs. It may be used by residents to assess their collaborative practices and incorporated in curricula to help develop collaborative practices and their assessment during training of postgraduate residents.

Benzothiazole-Quinoline-Based Fluorescent Probe for Fe3+ and its Applications in Environmental and Biological Samples.

Due to the its high abundance, iron ion contamination and toxicity is one of the most challenging issue for living beings. Although, iron is extremenly important for several body functions, excess amount of iron in the body can also be fatal. In last century, rapid industrialization, iron extraction and mismanagement of industrial waste disposal leads to iron contamination in water bodies. Therefore, versatile iron sensors needs to be develop which can be employed for detection in biological as well as real water samples. 8-hydroxyquinoline is well-known for its strong affinity towards transition metals including Fe3+. In this regard, we have synthesised benzothiazole-quinoline derived 1,2,3- triazole (4HBTHQTz), in which 4-(benzo[d]thiazol-2-yl)phenolic (4-HBT) group acts as a fluorophore. 4HBTHQTz showed high fluorescence and induced a selective decrease in fluorescence with Fe3+ at 380 nm (λex. = 320 nm). The detection limit of 4HBTHQTz with Fe3+ is calculated as 0.64 µM, which is lower than the WHO recommended limit in drinking water. 4HBTHQTz works over the 5-8 pH range and has shown promising results for quantitative detection of Fe3+ in water samples collected from tap, river and seawater. 4HBTHQTz can also detect the Fe3+ in biological samples which is confirmed by fluorescence cell imaging using L929 mouse fibroblast cells. Overall, 4HBTHQTz showed advantages such as high selectivity, quick detection, and good limit of detection (LOD) for Fe3+.

Relationship between prostate-specific antigen, alkaline phosphatase levels, and time-to-tumor shrinkage: understanding the progression of prostate cancer in a longitudinal study.

BACKGROUND: This study delves into the complex interplay among prostate-specific antigen, alkaline phosphatase, and the temporal dynamics of tumor shrinkage in prostate cancer. By investigating the longitudinal trajectories and time-to-prostate cancer tumor shrinkage, we aim to untangle the intricate patterns of these biomarkers. This understanding is pivotal for gaining profound insights into the multifaceted aspects of prostate cancer progression. The joint model approach serves as a comprehensive framework, facilitating the elucidation of intricate interactions among these pivotal elements within the context of prostate cancer . METHODS: A new joint model under a shared parameters strategy is proposed for mixed bivariate longitudinal biomarkers and event time data, for obtaining accurate estimates in the presence of missing covariate data. The primary innovation of our model resides in its effective management of covariates with missing observations. Built upon established frameworks, our joint model extends its capabilities by integrating mixed longitudinal responses and accounting for missingness in covariates, thus confronting this particular challenge. We posit that these enhancements bolster the model's utility and dependability in real-world contexts characterized by prevalent missing data. The main objective of this research is to provide a model-based approach to get full information from prostate cancer data collected with patients' baseline characteristics ( Age , body mass index ( BMI ), GleasonScore , Grade , and Drug ) and two longitudinal endogenous covariates ( Platelets and Bilirubin ). RESULTS: The results reveal a clear association between prostate-specific antigen and alkaline phosphatase biomarkers in the context of time-to-prostate cancer tumor shrinkage. This underscores the interconnected dynamics of these key indicators in gauging disease progression. CONCLUSIONS: The analysis of the prostate cancer dataset, incorporating a joint evaluation of mixed longitudinal prostate-specific antigen and alkaline phosphatase biomarkers alongside tumor status, has provided valuable insights into disease progression. The results demonstrate the effectiveness of the proposed joint model, as evidenced by accurate estimates. The shared variables associated with both longitudinal biomarkers and event times consistently deviate from zero, highlighting the robustness and reliability of the model in capturing the complex dynamics of prostate cancer progression. This approach holds promise for enhancing our understanding and predictive capabilities in the clinical assessment of prostate cancer.

Auscultation-Based Pulmonary Disease Detection through Parallel Transformation and Deep Learning.

Respiratory diseases are among the leading causes of death, with many individuals in a population frequently affected by various types of pulmonary disorders. Early diagnosis and patient monitoring (traditionally involving lung auscultation) are essential for the effective management of respiratory diseases. However, the interpretation of lung sounds is a subjective and labor-intensive process that demands considerable medical expertise, and there is a good chance of misclassification. To address this problem, we propose a hybrid deep learning technique that incorporates signal processing techniques. Parallel transformation is applied to adventitious respiratory sounds, transforming lung sound signals into two distinct time-frequency scalograms: the continuous wavelet transform and the mel spectrogram. Furthermore, parallel convolutional autoencoders are employed to extract features from scalograms, and the resulting latent space features are fused into a hybrid feature pool. Finally, leveraging a long short-term memory model, a feature from the latent space is used as input for classifying various types of respiratory diseases. Our work is evaluated using the ICBHI-2017 lung sound dataset. The experimental findings indicate that our proposed method achieves promising predictive performance, with average values for accuracy, sensitivity, specificity, and F1-score of 94.16%, 89.56%, 99.10%, and 89.56%, respectively, for eight-class respiratory diseases; 79.61%, 78.55%, 92.49%, and 78.67%, respectively, for four-class diseases; and 85.61%, 83.44%, 83.44%, and 84.21%, respectively, for binary-class (normal vs. abnormal) lung sounds.

Saraiki language characters dataset (SLCD).

About 26 million people worldwide use the Saraiki language [1]. In the southern part of Punjab and Sindh, Saraiki language is extensively spoken. One of the most important Saraiki cultural hubs is Dera Ghazi Khan. In Dera Ghazi Khan, the Saraiki language is spoken by over 90 % of the population. Calligraphers use a sophisticated script to write this language. Despite the vast body of Optical Character Recognition (OCR) literature and research dedicated to other languages, a fully functional OCR system is still needed for Saraiki language [2,3]. This work presents a genuine dataset of Saraiki handwritten characters, consisting of 50,000 scanned photos, and makes it accessible to the public for use. All of the photographs include handwritten text contributed by teachers and students from Pak-Austria Fachhochschule for Applied Sciences and Technology, Pakistan. Around 1000 people, roughly half men and half women, contributed in writing this text. For scientific research, the dataset will be made accessible to the general public.

Experimental Verification of Geometric Changes Caused by the Release of Residual Stresses for Large-Scale Welded Frames.

This paper presents geometric analyses of welded frames after free relaxing and vibratory stress relief (VSR). The tested frames were components of a prototype packaging machine. Two types of relaxation were carried out to remove stresses introduced as a result of the welding process. One of the frames was subjected to free relaxation, while the other one was subjected to accelerated vibration relaxation. Detection of the frame geometry changes was performed using a photogrammetric system. In addition, an evaluation of the geometry change was conducted for fifteen variants of a steel frame support. A comparative analysis of the geometric deviations of the frames after free and vibratory stress relief confirmed the assumption that the frame post vibration stress relief better reproduces the nominal dimensions. Nevertheless, it should be emphasized that after vibratory stress relief, the frame is not subject to further deformation, which is a desirable effect. In the case of free relaxing, the frame undergoes dimensional changes in a random manner. In summary, carrying out accelerated vibratory stress relief allows for control of spontaneous dimensional changes in the designed frame of a packaging machine resulting from spontaneous relaxation of stresses arising from the welding process. The shortening of the relaxation process of the welded frame is also an unquestionable advantage.

Factors necessary for entrustment decision-making in surgical operating rooms: A modified Delphi study.

Objective: Resident autonomy in an operation theatre has been directly linked with patient safety in healthcare. The objective of this study was to identify the factors necessary for making resident-entrustment decisions from the perspective of a supervisor/consultant viewpoint. The second objective was to develop a checklist for assessing resident readiness for independent work. Materials and methods: This study employed a mixed-method Delphi approach. In the first stage, a comprehensive literature review and a qualitative exploratory study produced a list of factors related to residents. The second phase involved content validation by a panel of experts, followed by a two-round Delphi study with 20 expert panelists. Results: A total of 49 resident-related factors for entrustment were identified, which were reduced to 46 after content validation. During Delphi Round I, 17 factors were fully accepted, 7 were rejected and 22 items were partially accepted. Out of the 39 items sent to Delphi Round II, 23 items were accepted and 16 were rejected. A final 23-item checklist was formed based on the following factors; 6 Cognitive (knowledgeable, risk manager, safe doctor, general manager, field of interest, communicator), 5 Psychomotor (past performer, competent, ability to pick critical findings, ability to act situationally, decision maker) and 12 affective (responsible, leader, honest, empathetic, ethical, receptive, humble, emotionally intelligent, motivated, accountable, team player, disciplined) factors. Conclusion: The study resulted in the formation of a checklist based on the factors necessary for entrustment decision-making in surgical operating rooms. Some of the novel contextual factors were 'general manager', 'field of interest', 'ability to pick critical findings', 'accountable', 'risk manager', and 'past performer'. This framework offers a guideline for supervisors and residents to evaluate progress throughout the residency program. The developed tool demonstrates good content validity and is suitable for entrustment assessment following construct validation.

A chlorogenic acid-conjugated nanomicelle attenuates disease severity in experimental arthritis.

Rheumatoid arthritis (RA) is a systemic immune disorder marked by synovitis, bone damage, and cartilage erosion, leading to increased socio-economic burdens and reduced quality of life. Despite its unknown cause, advancements in understanding its pathophysiology have facilitated novel therapeutic approaches. Current treatments, including disease-modifying anti-rheumatic drugs (DMARDs) and biologics, often result in low efficacy and unnecessary side effects. To address the limitations of these drugs, carrier-based drug delivery systems, such as nanomicelles, have emerged as a promising solution. In this study, nanomicelles were synthesised utilizing PLGA (poly(lactic-co-glycolic acid)) as a backbone; this backbone is conjugated with chlorogenic acid (CGA), which is known for suppressing inflammation, and incorporates methotrexate (MTX), a model drug that is established for RA treatment. The nanomicelles were extensively characterized in terms of size, charge, drug loading, and drug-release behaviour. The in vivo assessment of MTX-PLGA-b-CGA nanomicelles in a collagen-induced arthritis model demonstrated a remarkable reduction in joint swelling, cartilage erosion, and disease severity. Furthermore, histological findings confirmed cartilage integrity and reduced expression of key pro-inflammatory markers, including receptor activator of nuclear factor kappa beta ligand (RANKL) and tumor necrosis factor (TNF-α). The approach based on the MTX-PLGA-b-CGA nanomicelles presents a biocompatible and potentially effective therapeutic strategy for management of the severity and progression of RA, providing a hopeful alternative for RA treatment.

A bioactive and biodegradable vitamin C stearate-based injectable hydrogel alleviates experimental inflammatory arthritis.

Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory joint disorder affecting nearly 1% of the global population. In RA, synovial joints are infiltrated by inflammatory mediators and enzymes, leading to articular cartilage deterioration, joint damage, and bone erosion. Herein, the 9-aminoacridine-6-O-stearoyl-L-ascorbic acid hydrogel (9AA-SAA hydrogel) was formulated by the heat-cool method and further characterized for surface charge, surface morphology, rheology, and cytocompatibility. Furthermore, we evaluated the therapeutic efficacy of the 9AA-SAA hydrogel, an enzyme-responsive drug delivery system with on-and-off switching capabilities based on disease severity against collagen-induced experimental arthritis in Wistar rats. The anti-inflammatory action of the US FDA-approved drug 9-aminoacridine (9AA) was revealed which acted through nuclear receptor subfamily 4 group A member 1 (NR4A1), an anti-inflammatory orphan nuclear receptor that inhibits nuclear factor kappa-light-chain-enhancer of activated B cells (NF-kB). Furthermore, we have explored the role of ascorbic acid, an active moiety of 6-O-stearoyl-L-ascorbic acid (SAA), in promoting the production of collagen production through ten-eleven translocation-2 (TET2) upregulation. Targeting through NR4A1 and TET2 could be the probable mechanism for the treatment of experimental arthritis. The combination of 9AA and ascorbic acid demonstrated enhanced therapeutic efficacy in the 9AA-SAA hydrogel, significantly reducing the severity of experimental arthritis. This approach, in contrast to existing treatments with limited effectiveness, presents a promising and more effective strategy for RA treatment by mitigating inflammation in experimental arthritis.

Biomaterial-based combinatorial approach of aescin-comprised zein-coated gelatin nanoparticles alleviates synovial inflammation in experimental inflammatory arthritis.

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease that mostly affects joints. Although RA therapy has made significant progress, difficulties including extensive medication metabolism and its quick clearance result in its inadequate bioavailability. The anti-inflammatory effect of zein was reported with other medications, but it has certain limitations. There are reports on the anti-oxidant and anti-inflammatory effect of aescin, which exhibits low bioavailability for the treatment of rheumatoid arthritis. Also, the combinatorial effect of zein with other effective drug delivery systems is still under investigation for the treatment of experimental collagen-induced rheumatoid arthritis. The focus of this study was to formulate and define the characteristics of zein-coated gelatin nanoparticles encapsulated with aescin (Ze@Aes-GNPs) and to assess and contrast the therapeutic effectiveness of Ze@Aes-GNPs towards collagen-induced RA in Wistar rats. Nanoprecipitation and the layer-by-layer coating process were used to fabricate Ze@Aes-GNPs and their hydrodynamic diameter was determined to be 182 nm. Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were used to further validate the size, shape, and surface morphology of Ze@Aes-GNPs. When tested against foreskin fibroblasts (BJ), these nanoparticles demonstrated significantly high cytocompatibility. Both Aes and Ze@Aes-GNPs were effective in treating arthritis, as shown by the decreased edoema, erythema, and swelling of the joints, between which Ze@Aes-GNPs were more effective. Further, it was demonstrated that Aes and Ze@Aes-GNPs reduced the levels of oxidative stress (articular elastase, lipid peroxidation, catalase, superoxide dismutase and nitric oxide) and inflammatory indicators (TNF-α, IL-1ß and myeloperoxidase). The histopathology findings further demonstrated that Ze@Aes-GNPs considerably reduced the infiltration of inflammatory cells at the ankle joint cartilage compared to Aes. Additionally, immunohistochemistry examination showed that treatment with Ze@Aes-GNPs suppressed the expression of pro-inflammatory markers (COX-2 and IL-6) while increasing the expression of SOD1. In summary, the experiments indicated that Aes and Ze@Aes-GNPs lowered the severity of arthritis, and critically, Ze@Aes-GNPs showed better effectiveness in comparison to Aes. This suppression of oxidative stress and inflammation was likely driven by Aes and Ze@Aes-GNPs.

Evaluation of the Efficacy of LASER, Desensitizing Agents, and their Combined Effect on Dentinal Hypersensitivity in Bicuspids: In Vitro Study.

Aim: This study aimed to know the potential of diode light amplification by stimulated emission of radiation (LASER) and desensitizing agents on blocking the dentinal tubules, which may further help in reducing the most common dental problem named dentinal hypersensitivity (DH). Materials and Methods: Sixty human permanent bicuspids were selected, and preparation was performed in the cervical region measuring 2.5 mm × 2.5 mm × 2.5 mm, followed by acid etching for 15 seconds. These are then divided according to the groups mentioned: group 1-nano-hydroxyapatite (HA) was applied for 15 minutes; group 2-biosilicate was applied for 15 minutes; group 3-diode LASER application was performed twice for 60 seconds in noncontact mode; group 4-nano-HA plus diode LASER application; and group 5-biosilicate plus diode LASER application. The same procedure was followed on the 1st, 7th, and 14th days and then rinsed and stored in artificial saliva, and the saliva was changed every 24 hours. The dentinal tubular occlusion was observed under a scanning electron microscope (SEM) after the 14th day. Result: The maximum dentinal tubular occlusion was observed in group 4, where nano-HA and diode LASER application was performed. Conclusion: All the investigated treatment groups have promising occluding potential, but the maximum was found in group 4 >group 5 >group 3 >group 1 >group 2. LASER plus desensitizing together prove to be potent and effective in reducing dentinal tubular diameter.

Resilience and academic performance: Exploring the link in dental students.

This study aims to assess the correl ation between t he resilience level of dental students (preclinical and clinical years) and its effects on their academic performance. It is a correlational research study that was carried out on second, third, and final-yea r denta l students at Lahore Medical & Dental College, Lahore. Academic resilience was judged by using the academic resilience scale (ARS-30). The correlation between resilience and academic performance was e s tablished by appl ying the bivar iate Pea rso n correlation. The mean age of the stude nt s was 2 1.49±1.39 years. Among 196 dental students from different years, 132 (67.35%) were females and 64(32.65%) were males. A strong p ositive co rrelati on was obser ved bet ween the academic performance and resilience of denta l students, i.e. r=0.774. From the results, it can be concluded that there is a positive correlation between academic resilience and academic performance among dental students.

Sophorin mitigates flutamide-induced hepatotoxicity in wistar rats.

Flutamide is frequently used in the management of prostate cancer, hirsutism, and acne. It is a non-steroidal anti-androgenic drug and causes hepatotoxicity. The current study's objective is to evaluate sophorin's hepatoprotective effectiveness against flutamide-induced hepatotoxicity in Wistar rats. Sophorin is a citrus flavonoid glycoside, also known as rutin, which is a low molecular weight polyphenolic compound with natural antioxidant properties and reported to have promising hepatoprotective efficacy. In this study, sophorin was used at a dose of 100 mg/kg body weight in purified water via oral route for 4 week daily whereas, flutamide was used at a dose of 100 mg kg/b.wt for 4 weeks daily in 0.5% carboxy methyl cellulose (CMC) through the oral route for the induction of hepatotoxicity. Flutamide administration leads to enhanced reactive oxygen species (ROS) generation, an imbalance in redox homeostasis and peroxidation of lipid resulted in reduced natural antioxidant level in liver tissue. Our result demonstrated that sophorin significantly abrogate flutamide induced lipid peroxidation, protein carbonyl (PC), and also significantly increasesed in enzymatic activity/level of tissue natural antioxidant such as reduced glutathione(GSH), glutathione reductase(GR), catalase, and superoxide dismutase(SOD). Additionally, sophorin reduced the activity of cytochrome P450 3A1 in liver tissue which was elevated due to flutamide treatment. Furthermore, sophorin treatment significantly decreased the pro-inflammatory cytokines (TNF-α and IL-6) level. Immunohistochemical analysis for the expression of inflammatory proteins (iNOS and COX-2) in hepatic tissue was decreased after sophorin treatment against flutamide-induced hepatotoxicity. Moreover, sophorin suppressed the infiltration of mast cells in liver tissue which further showed anti-inflammatory potential of sophorin. Our histological investigation further demonstrated sophorin's hepatoprotective function by restoring the typical histology of the liver. Based on the aforementioned information, we are able to come to the conclusion that sophorin supplementation might benefit wistar rats with flutamide-induced hepatic damage by reducing oxidative stress and hepatocellular inflammation.

Effect of the shape of flapping airfoils on aerodynamic forces.

The rapid exhaustion of fossil fuels and the ozone depletion caused by the excessive usage of the fossil fuels has prompted researchers to look towards bioinspired designs for both propulsion and energy extraction purposes. Limited amount of work has been done to present the effects of airfoil shape on the aerodynamic forces on flapping foils. In this paper, we examine in detail the effect of airfoil camber and its position on flapping foil performance in both energy extraction and propulsion regimes. We also examine the effect of reflex camber on flapping foil performance in both flow regimes. In total, 42 airfoils are analyzed using the NACA 4 and 5-series cross-sections. The man objective of this research is to identify a trend, between airfoil shape and aerodynamic forces. The database created as a result will be used in the future work for designing a hydrokinetic turbine and a bio-inspired unmanned aerial vehicle. The results from the numerical simulations indicate that the airfoil shape has significant effects on the time averaged drag force on the airfoil in both flow regimes. However, the time averaged lift force remains negligible for all cases.

Virtual patients versus standardized patients for improving clinical reasoning skills in ophthalmology residents. A randomized controlled trial.

BACKGROUND: History taking and clinical reasoning are important skills that require knowledge, cognition and meta-cognition. It is important that a trainee must experience multiple encounters with different patients to practice these skills. However, patient safety is also important, and trainees are not allowed to handle critically ill patients. To address this issue, a randomized controlled trial was conducted to determine the effectiveness of using Virtual Patients (VP) versus Standardized Patients (SP) in acquiring clinical reasoning skills in ophthalmology postgraduate residents. METHODS: Postgraduate residents from two hospitals in Lahore, Pakistan, were randomized to either the VP group or the SP group and were exposed to clinical reasoning exercise via the VP or SP for 30 min after the pretest. This was followed by a posttest. One month after this activity, a follow-up posttest was conducted. The data were collected and analysed using IBM-SPSS version 25. Repeated measures ANOVA was used to track the effect of learning skills over time. RESULTS: The mean age of the residents was 28.5 ± 3 years. The male to female ratio was 1:1.1. For the SP group, the mean scores were 12.6 ± 3.08, 16.39 ± 3.01 and 15.39 ± 2.95, and for the VP group, the mean scores were 12.7 ± 3.84, 16.30 ± 3.19 and 15.65 ± 3.18 for the pretest, posttest and follow-up posttest, respectively (p value < 0.00). However, the difference between the VP and SP groups was not statistically significant (p = 0.896). Moreover, there was no statistically significant difference between the VP and SP groups regarding the retention of clinical reasoning ability. In terms of learning gain, compared with the VP group, the SP group had a score of 51.46% immediately after clinical reasoning exercise as compared to VP group, in which it was 49.1%. After one month, it was 38.01 in SP and 40.12% in VP group. CONCLUSION: VPs can be used for learning clinical reasoning skills in postgraduate ophthalmology residents in a safe environment. These devices can be used repeatedly without any risk to the real patient. Although similarly useful, SP is limited by its nonavailability for repeated exercises.

Formulation of Folate Receptor-Targeted Silibinin-Loaded Inhalable Chitosan Nanoparticles by the QbD Approach for Lung Cancer Targeted Delivery.

Aim: Targeted delivery of chemotherapeutics by functionalized nanoparticles exhibits a wonderful prospect for cancer treatment. The main objective of this research was to develop folate receptor-targeted silibinin (SB)-loaded inhalable polymeric nanoparticles (FA-CS-SB-NPs) for the treatment of lung cancer. Method: The qbD approach was implemented to prepare SB-loaded nanoparticles. Folic acid was conjugated by electrostatic conjugation in an optimized batch. The therapeutic potentials of formulations were determined using a lung cancer cell-bearing rat model. Result: Optimized formulation exhibited a spherical surface with a mean particle size of 275 ± 1.20 nm, a PDI of 0.234 ± 0.07, a ζ-potential of 32.50 ± 0.21, an entrapment efficiency of 75.52 ± 0.87%, and a CDR of 63.25 ± 1.21% at 48 h. Aerodynamic behaviors such as the mass median aerodynamic diameter (MMAD) and geometric size distribution (GSD) were found to be 2.75 ± 1.02 and 3.15 ± 0.88 µm, respectively. After 24 h of incubation with FA-CS-SB-NPs, the IC50 value was found to be 24.5 g/mL. FA-SB-CS-NPs maintained a significantly higher deposition of SB in lung tissues. Conclusions: Thus, the noninvasive nature and target specificity of FA-CS-SB-NPs pave the way for pulmonary delivery for treating lung cancer.