Korean Black Goat Extract Exerts Estrogen-like Osteoprotective Effects by Stimulating Osteoblast Differentiation in MC3T3-E1 Cells and Suppressing Osteoclastogenesis in RAW 264.7 Cells.

Postmenopausal osteoporosis, characterized by an imbalance between osteoclast-mediated bone resorption and osteoblast-driven bone formation, presents substantial health implications. In this study, we investigated the role of black goat extract (BGE), derived from a domesticated native Korean goat, estrogen-like activity, and osteoprotective effects in vitro. BGE's mineral and fatty acid compositions were analyzed via the ICP-AES method and gas chromatography-mass spectrometry, respectively. In vitro experiments were conducted using MCF-7 breast cancer cells, MC3T3-E1 osteoblasts, and RAW264.7 osteoclasts. BGE exhibits a favorable amount of mineral and fatty acid content. It displayed antimenopausal activity by stimulating MCF-7 cell proliferation and augmenting estrogen-related gene expression (ERα, ERß, and pS2). Moreover, BGE positively impacted osteogenesis and mineralization in MC3T3-E1 cells through Wnt/ß-catenin pathway modulation, leading to heightened expression of Runt-related transcription factor 2, osteoprotegerin, and collagen type 1. Significantly, BGE effectively suppressed osteoclastogenesis by curtailing osteoclast formation and activity in RAW264.7 cells, concurrently downregulating pivotal signaling molecules, including receptor activator of nuclear factor κ B and tumor necrosis factor receptor-associated factor 6. This study offers a shred of preliminary evidence for the prospective use of BGE as an effective postmenopausal osteoporosis treatment.

Evaluation of agricultural non-point source pollution using an in-situ and automated photochemical flow analysis system.

Off-line leachate collection from agricultural landscapes cannot guarantee precise evaluation of agricultural non-point source (ANPS) due to geospatial variations, time, and transportation from the field to the laboratory. Implementing an in-situ nitrogen and phosphorous monitoring system with a robust photochemical flow analysis is imperative for precision agriculture, enabling real-time intervention to minimize non-point source pollution and overcome the limitations posed by conventional analysis in laboratory. A reliable, robust and in-situ approach was proposed to monitor nitrogen and phosphorous for determining ANPS pollution. In this study, a home-made porous ceramic probe and the frequency domain reflectometer (FDR) based water content sensors were strategically placed at different soil depths to facilitate the collection of leachates. These solutions were subsequently analyzed by in-situ photochemical flow analysis monitoring system built across the field to estimate the concentrations of phosphorus and nitrogen. After applying both natural and artificial irrigation to the agricultural landscape, at least 10 mL of soil leachates was consistently collected using the porous ceramic probe within 20 min, regardless of the depth of the soil layers when the volumetric soil water contents are greater than 19%. The experimental results showed that under different weather conditions and irrigation conditions, the soil water content of 50 cm and 90 cm below the soil surface was 19.58% and 26.08%, respectively. The average concentrations of NH4+-N, NO3--N, PO43- are 0.584 mg/L, 15.7 mg/L, 0.844 mg/L, and 0.562 mg/L, 16.828 mg/L and 0.878 mg/L at depths of 50 cm and 90 cm below the soil surface, respectively. Moreover, the comparison with conventional laboratory spectroscopic analysis confirmed R2 values of 0.9951, 0.9943, 0.9947 average concentration ranges of NH4+-N, NO3--N, and PO43-, showcasing the accuracy and reliability of robust photochemical flow analysis in-situ monitoring system. The suggested monitoring system can be helpful in the assessment of soil nutrition for precision agriculture.

ALL classification using neural ensemble and memetic deep feature optimization.

Acute lymphoblastic leukemia (ALL) is a fatal blood disorder characterized by the excessive proliferation of immature white blood cells, originating in the bone marrow. An effective prognosis and treatment of ALL calls for its accurate and timely detection. Deep convolutional neural networks (CNNs) have shown promising results in digital pathology. However, they face challenges in classifying different subtypes of leukemia due to their subtle morphological differences. This study proposes an improved pipeline for binary detection and sub-type classification of ALL from blood smear images. At first, a customized, 88 layers deep CNN is proposed and trained using transfer learning along with GoogleNet CNN to create an ensemble of features. Furthermore, this study models the feature selection problem as a combinatorial optimization problem and proposes a memetic version of binary whale optimization algorithm, incorporating Differential Evolution-based local search method to enhance the exploration and exploitation of feature search space. The proposed approach is validated using publicly available standard datasets containing peripheral blood smear images of various classes of ALL. An overall best average accuracy of 99.15% is achieved for binary classification of ALL with an 85% decrease in the feature vector, together with 99% precision and 98.8% sensitivity. For B-ALL sub-type classification, the best accuracy of 98.69% is attained with 98.7% precision and 99.57% specificity. The proposed methodology shows better performance metrics as compared with several existing studies.

Inversion of the Warburg Effect: Unraveling the Metabolic Nexus between Obesity and Cancer.

Obesity is a well-established risk factor for cancer, significantly impacting both cancer incidence and mortality. However, the intricate molecular mechanisms connecting adipose tissue to cancer cell metabolism are not fully understood. This Review explores the historical context of tumor energy metabolism research, tracing its origins to Otto Warburg's pioneering work in 1920. Warburg's discovery of the "Warburg effect", wherein cancer cells prefer anaerobic glycolysis even in the presence of oxygen, laid the foundation for understanding cancer metabolism. Building upon this foundation, the "reverse Warburg effect" emerged in 2009, elucidating the role of aerobic glycolysis in cancer-associated fibroblasts (CAFs) and its contribution to lactate accumulation in the tumor microenvironment, subsequently serving as a metabolic substrate for cancer cells. In contrast, within high-adiposity contexts, cancer cells exhibit a unique metabolic shift termed the "inversion of the Warburg effect". This phenomenon, distinct from the stromal-dependent reverse Warburg effect, relies on increased nutrient abundance in obesity environments, leading to the generation of glucose from lactate as a metabolic substrate. This Review underscores the heightened tumor proliferation and aggressiveness associated with obesity, introducing the "inversion of the Warburg effect" as a novel mechanism rooted in the altered metabolic landscape within an obese milieu. The insights presented here open promising avenues for therapeutic exploration, offering fresh perspectives and opportunities for the development of innovative cancer treatment strategies.

Repurposing of US-FDA-approved drugs as negative modulators of ubiquitin specific protease-7 (USP7).

Ubiquitin-specific protease7 (USP7) regulates the stability of the p53 tumor suppressor protein and several other proteins critical for tumor cell survival. Aberrant expression of USP7 facilitates human malignancies by altering the activity of proto-oncogenes/proteins, and tumor suppressor genes. Therefore, USP7 is a validated anti-cancer drug target. In this study, a drug repurposing approach was used to identify new hits against the USP7 enzyme. It is one of the most strategic approaches to find new uses for drugs in a cost- and time-effective way. Nuclear Magnetic Resonance-based screening of 172 drugs identified 11 compounds that bind to the catalytic domain of USP7 with dissociation constant (Kd) values in the range of 0.6-1.49 mM. These 11 compounds could thermally destabilize the USP7 enzyme by decreasing its melting temperature up to 9 °C. Molecular docking and simulation studies provided structural insights into the ligand-protein complexes, suggesting that these compounds bind to the putative substrate binding pocket of USP7, and interact with its catalytically important residues. Among the identified 11 hits, compound 6 (oxybutynin), 7 (ketotifen), 10 (pantoprazole sodium), and 11 (escitalopram) also showed anti-cancer activity with an effect on the expression of proto-oncogenes and tumor-suppressor gene at mRNA level in HCT116 cells. The compounds identified in this study can serve as potential leads for further studies.

An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.

In the field of medicine, decision support systems play a crucial role by harnessing cutting-edge technology and data analysis to assist doctors in disease diagnosis and treatment. Leukemia is a malignancy that emerges from the uncontrolled growth of immature white blood cells within the human body. An accurate and prompt diagnosis of leukemia is desired due to its swift progression to distant parts of the body. Acute lymphoblastic leukemia (ALL) is an aggressive type of leukemia that affects both children and adults. Computer vision-based identification of leukemia is challenging due to structural irregularities and morphological similarities of blood entities. Deep neural networks have shown promise in extracting valuable information from image datasets, but they have high computational costs due to their extensive feature sets. This work presents an efficient pipeline for binary and subtype classification of acute lymphoblastic leukemia. The proposed method first unveils a novel neighborhood pixel transformation method using differential evolution to improve the clarity and discriminability of blood cell images for better analysis. Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. These optimized features subsequently empower multiple classifiers, potentially capturing diverse perspectives and amplifying classification accuracy. The proposed pipeline is validated on publicly available standard datasets of ALL images. For binary classification, the best average accuracy of 98.1% is achieved with 98.1% sensitivity and 98% precision. For ALL subtype classifications, the best accuracy of 98.14% was attained with 78.5% sensitivity and 98% precision. The proposed feature selection method shows a better convergence behavior as compared to classical population-based meta-heuristics. The suggested solution also demonstrates comparable or better performance in comparison to several existing techniques.

Outcome of modified fleur-de-lis latissimus dorsi myocutaneous flap for breast reconstruction.

BACKGROUND: Reconstruction of breast following mastectomy is important in terms of rehabilitating patients of breast cancer. Numerous approaches have been used in the reconstruction process. A procedure that has gained interest of the patients is reconstruction of breast using the autologous form. Main objective of this study is to determine the outcomes of modified fleur-de-lis latissimus dorsi flap in patients undergoing breast reconstruction. METHODOLOGY: This is a retrospective case series which was conducted at the Department of Plastic Surgery, SIMS/Services Hospital, Lahore, from January 2020 till December 2022. 184 patients age 25-60 years and Females with a history of mastectomy, who had to undergo creation of breast shape using a tissue flap from another part of the body at the site of breast following mastectomy were included. All patients were subjected to standard procedure of breast reconstruction with latissimus dorsi flap using modified fleur-de-lis technique and postoperatively weekly assessment in the first month and then monthly until 3 months was carried out and outcome of the study was analysed. RESULTS: The mean age and VAS score of the patients was 49.7 ± 9.17 and 6 ± 2.21, respectively. 57.1 % patients have DCIS, benign in 38 % patients and other tumours were present in 4.9 % patients. Immediate versus delayed reconstruction was done in 63.6 % versus 36.4 % patients respectively. Good aesthetic outcome was achieved in 80.3 % patients CONCLUSION: Modified fleur-de-lis latissimus dorsi flap in patients undergoing breast reconstruction yielded a good aesthetic outcome in the majority of the patients.

Benzimidazole Derivative (N-{4-[2-(4-Methoxyphenyl)-1H-Benzimidazole-1-Sulfonyl] Phenyl} Acetamide) Ameliorates Methotrexate-Induced Intestinal Mucositis by Suppressing Oxidative Stress and Inflammatory Markers in Mice.

Methotrexate (MTX)-induced intestinal mucositis (IM) is a common side effect in cancer treatment that impairs the immune system and gut microbes, resulting in loss of mucosal integrity and gut barrier dysfunction. The quality of life and outcomes of treatment are compromised by IM. The present study was designed to investigate the mucoprotective potential of the benzimidazole derivative N-{4-[2-(4-methoxyphenyl)-1H-benzimidazole-1-sulfonyl] phenyl} acetamide (B8) on MTX-induced IM in mice. IM was induced by a single dose of MTX in mice and assessed by physical manifestations as well as biochemical, oxidative, histological, and inflammatory parameters. B8 (1, 3, 9 mg/kg) significantly reduced diarrhea score, mitigated weight loss, increased feed intake and, survival rate in a dose-dependent manner. Notably, B8 exhibited a mucoprotective effect evident through the mitigation of villus atrophy, crypt hypoplasia, diminished crypt mitotic figures, mucin depletion, and oxidative stress markers (GSH, SOD, MDA, and catalase concentration). Gene expression analysis revealed that B8 downregulated the mRNA expression of tumor necrosis factor-α (TNF-α), cyclooxygenase-2 (COX-2), interleukin-6 (IL-6), IL-1ß, and nuclear factor-κB (NF-κB) and concurrently upregulated IL-10 expression in contrast to the MTX group. Further, B8 significantly improved the luminal microflora profile by augmenting the growth of Lactobacillus spp. and reducing the number of pathogenic bacteria (E. coli). Additionally, the enzyme-linked immunoassay showed that B8 decreased the levels of pro-inflammatory cytokines. Our findings suggest that B8 had mucoprotective effects against MTX-induced IM and could be used as an adjunct in chemotherapy to deter this side effect.

CT texture analysis for differentiating between peritoneal carcinomatosis and peritoneal tuberculosis: a cross-sectional study.

PURPOSE: Peritoneal carcinomatosis (PC) and peritoneal tuberculosis (PTB) have similar clinical and radiologic imaging features, which make it very difficult to differentiate between the two entities clinically. Our aim was to determine if the CT textural parameters of omental lesions among patients with PC were different from those with PTB. METHODS: All patients who had undergone omental biopsy at our institution from January 2010 to December 2018 and had a tissue diagnosis of PC or PTB were eligible for inclusion. Patients who did not have a contrast-enhanced CT abdomen within one month of the omental biopsy were excluded. A region of interest (ROI) was manually drawn over omental lesions and radiomic features were extracted using open-source LIFEx software. Statistical analysis was performed to compare mean differences in CT texture parameters between the PC and PTB groups. RESULTS: A total of 66 patients were included in the study of which 38 and 28 had PC and PTB, respectively. Omental lesions in patients with PC had higher mean radiodensity (mean difference: +32.4; p = 0.001), higher mean entropy (mean difference: +0.11; p < 0.001), and lower mean energy (mean difference: -0.024; p = 0.001) compared to those in PTB. Additionally, omental lesions in the PC group had lower gray-level co-occurrence matrix (GLCM) homogeneity (mean difference: -0.073; p < 0.001) and higher GLCM dissimilarity (mean difference: +0.480; p < 0.001) as compared to the PTB group. CONCLUSION: CT texture parameters of omental lesions differed significantly between patients with PTB and those with PC, which may help clinicians in differentiating between the two entities.

First-World Care at Third-World Rates: Pakistan, an Attractive Destination for Bariatric Tourism.

Introduction Obesity, a complex and multifactorial disease, is defined by a body mass index (BMI) greater than 30 kg/m². When the BMI exceeds 40 kg/m², it is classified as morbid obesity. This condition leads to excessive fat accumulation, which impairs normal body function and metabolism. For individuals grappling with morbid obesity and those who have faced significant hurdles in their quest for substantial weight loss, bariatric surgery emerges as a vital option. Purpose The study aims to explore the dynamics of bariatric surgical tourism in Pakistan, shedding light on factors influencing the choice of Pakistan as a destination for bariatric tourism. Materials and methods A retrospective cross-sectional study design was adopted. Data were gathered from the medical records database, including all patients who had undergone bariatric surgery from 2018 until 2022. The data collection process involved comprehensive patient outreach, where investigators conducted phone interviews and collected patient satisfaction assessments. During these phone interviews, valuable information was gathered by posing questions. These inquiries encompassed various aspects, including the patient's overall satisfaction with the surgical experience, their countries of origin, the specific bariatric procedures they underwent, the motivating factors behind their decision to travel abroad for surgery, their postoperative follow-up routines, and any complications they may have encountered. Results One hundred and nine patients traveled to Pakistan for bariatric surgery from 2018 to 2022. Out of 109 patients, 78 responded to the questionnaire by phone or email. The proforma was filled by 41 (52.5%) males and 37 (47.5%) females. Forty-seven (60.2%) of these patients underwent Roux-en-Y gastric bypass and 31 (39.8%) patients underwent sleeve gastrectomy. Out of 78 bariatric patients, 72 (92.3%) were satisfied with their surgery, five patients (6.4%) were neutral in their response and one patient (1.3%) was dissatisfied with the surgery. Most of the patients (26, 33.3%) declared money as the main driving force for traveling, with long waiting times being the close second reason (19, 24.36%) patients. Conclusion At least 2% of worldwide bariatric procedures are provided for medical tourists. Countries such as Mexico, India, Lebanon, and Romania dominate as providers for patients mainly from the USA, UK, and Germany. The lack of affordable bariatric healthcare and long waiting lists are some of the reasons for patients choosing bariatric tourism. The 92.3% satisfaction rate of patients with the surgery and its outcomes is a significant finding, as it suggests that bariatric surgery services provided in Pakistan are meeting or exceeding the expectations of international patients. The exceptionally high level of patient satisfaction speaks to the quality of care provided by the medical institutions in Pakistan. The data and analysis presented in this study shed light on the motivations and experiences of international patients traveling to Pakistan for bariatric surgery. These insights are invaluable for healthcare providers, policymakers, and the medical tourism industry as they seek to enhance the accessibility, affordability, and quality of healthcare services for domestic and international patients.

Smokeless and combustible tobacco use among 148,944 South Asian adults: a cross-sectional study of South Asia Biobank.

INTRODUCTION: Tobacco use, in both smoking and smokeless forms, is highly prevalent among South Asian adults. The aims of the study were twofold: (1) describe patterns of SLT and combustible tobacco product use in four South Asian countries stratified by country and sex, and (2) assess the relationships between SLT and smoking intensity, smoking quit attempts, and smoking cessation among South Asian men. METHODS: Data were obtained from South Asia Biobank Study, collected between 2018 and 2022 from 148,944 men and women aged 18 years and above, living in Bangladesh, India, Pakistan, or Sri Lanka. Mixed effects multivariable logistic and linear regression were used to quantify the associations of SLT use with quit attempt, cessation, and intensity. RESULTS: Among the four South Asian countries, Bangladesh has the highest rates of current smoking (39.9% for male, 0.4% for female) and current SLT use (24.7% for male and 23.4% for female). Among male adults, ever SLT use was associated with a higher odds of smoking cessation in Bangladesh (OR, 2.88; 95% CI, 2.65, 3.13), India (OR, 2.02; 95% CI, 1.63, 2.50), and Sri Lanka (OR, 1.36; 95% CI, 1.14, 1.62). Ever SLT use and current SLT use was associated with lower smoking intensity in all countries. CONCLUSIONS: In this large population-based study of South Asian adults, rates of smoking and SLT use vary widely by country and gender. Men who use SLT products are more likely to abstain from smoking compared with those who do not.

Outcomes of European Society of Cardiology 0/1-h algorithm with high-sensitivity cardiac troponin T among patients with coronary artery disease.

OBJECTIVE: The European Society of Cardiology (ESC) 0/1-h Algorithm with high-sensitivity cardiac troponin T (hs-cTnT) has shown promising results in risk stratification and management of patients with coronary artery disease (CAD). However, its outcomes and clinical implications in the context of developing countries remain understudied. METHODS: This cohort study aimed to evaluate the outcomes and clinical significance of the ESC 0/1-h Algorithm in a developing country setting. A total of 3534 patients with CAD were enrolled, with 1125 in the Rule-Out group and 2409 in the Rule-In group. Baseline characteristics, performance metrics, primary and secondary outcomes, and predictors of Rule-In and Rule-Out groups were assessed. RESULTS: The study enrolled 3534 patients with CAD, with 1125 in the Rule-Out group and 2409 in the Rule-In group. The 0/1-h Algorithm with hs-cTnT demonstrated improved performance compared to Troponin T at Presentation. It exhibited higher sensitivity, specificity, negative predictive value, positive predictive value, and area under the curve (AUC) for risk stratification in patients with CAD. Significant differences were observed in baseline characteristics between the Rule-Out and Rule-In groups, including age, gender, and comorbidities. The Rule-In group had a higher incidence of adverse cardiac events and underwent more invasive procedures compared to the Rule-Out group. Age, gender, hypertension, diabetes, and smoking were identified as significant predictors of Rule-In and Rule-Out. These findings highlight the clinical significance of implementing the 0/1-h Algorithm in the management of patients with CAD in a developing country setting. CONCLUSION: The algorithm's performance, along with its ability to identify high-risk patients and predict outcomes, highlights its potential to enhance patient care and outcomes in resource-limited settings.

Molecular identification of missense variants in SLC3A1 gene; an approach leading to computer-aided drug design for cystinuria.

Cystinuria is a rare congenital disorder characterized by the formation of cystine stones in urinary system, mainly kidneys and urinary tract. It follows the autosomal recessive inheritance pattern, where both of the parents contain the mutant allele. Cystine is an oxidized dimeric form of amino acid cysteine, shining crystal of greenish-yellow color sized greater than 5 mm. A minor genetic defect in SLC3A1 gene, downregulate the cystine transporter, rBAT protein, to absorb cystine and other dibasic amino acids in proximal tubule of nephron, causing Cystinuria. Computational and molecular analysis of SLC3A1 gene was performed to identify the deleterious missense single nucleotide variations (mSNVs) linked with Cystinuria in Pakistani population. In silico analysis of whole SLC3A1 gene nsSNPs has revealed that the exon 1, 6 and 10 are the hotspot areas, which potentially alter the protein structure and function. Three SNVs including one synonymous SNV A186C in exon 1, and two mSNVs including G314T in exon 1 and G44972A in exons 10 were identified. Both mSNVs were confirmed by ARMS PCR in all the 68 samples. The results have shown that 10% of the patients have G314T, 16% have G44972A and 74% of the patients have both of these mSNVs. Both of these mSNVs were involved in the structural and functional deterioration of rBAT protein. Additionally, computer aided drug designing tools were used to design diaminobenzylpyrimidine drug around the mutant residues which exhibit the lowest binding affinity with the target as compared to the previously reported cystine binding thiol drugs. In future, the present study could be extended to a large scale for mass screening of reported SNVs and mSNVs which, ultimately, lead to the development of knockouts for the functional studies and treatments.

Discrimination of Dendropanax morbifera via HPLC fingerprinting and SNP analysis and its impact on obesity by modulating adipogenesis- and thermogenesis-related genes.

Dendropanax morbifera (DM), a medicinal plant, is rich in polyphenols and commonly used to treat cancer, inflammation, and thrombosis. However, to date, no study has been conducted on DM regarding the enormous drift of secondary metabolites of plants in different regions of the Republic of Korea and their effects on antiobesity, to explore compounds that play an important role in two major obesity-related pathways. Here, we present an in-depth study on DM samples collected from three regions of the Republic of Korea [Jeju Island (DMJ), Bogildo (DMB), and Jangheung (DMJG)]. We used high-performance liquid chromatography (HPLC) and multivariate component analyses to analyze polyphenol contents (neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, and rutin), followed by discrimination of the samples in DMJG using single nucleotide polymorphism and chemometric analysis. In silico and in vitro evaluation of major compounds found in the plant extract on two major anti-obesity pathways (adipogenesis and thermogenesis) was carried out. Furthermore, two extraction methods (Soxhlet and ultrasound-assisted extraction) were used to understand which method is better and why. Upon quantifying plant samples in three regions with the polyphenols, DMJG had the highest content of polyphenols. The internal transcribed region (ITS) revealed a specific gel-based band for the authentication of DMJG. PCA and PLS-DA revealed the polyphenol's discriminative power of the region DMJG. The anti-obesity effects of plant extracts from the three regions were related to their polyphenol contents, with DMJG showing the highest effect followed by DMJ and DMB. Ultrasound-assisted extraction yielded a high number of polyphenols compared to that of the Soxhlet method, which was supported by scanning electron microscopy. The present work encourages studies on plants rich in secondary metabolites to efficiently use them for dietary and therapeutic purposes.

Antibiotic susceptibility and bioremediation potential of probiotic bacteria against lead and cadmium isolated from yogurt.

Probiotic bacteria have capacity to bind with heavy metals. The present study was planned to assess the bioremediation potential of probiotic Lactobacillus species isolated from yogurt samples. L. acidophilus and L. plantarum were tested for acidic pH tolerance, bile salt resistance and gastric juice tolerance. The antibiotic susceptibility and antimicrobial activity was also checked. These Lactobacillus species were also evaluated for degradation of lead (Pb) and cadmium (Cd) metals. The results indicated that L. acidophilus and L. plantarum were able to tolerate high acidic pH: 3. both showed significant growth after exposure to stimulated gastric juice from 0 to 24 hours. The significant plate count was observed at different bile salt concentrations (0.1%, 0.3%). The isolates showed resistance for all the tested antibiotics except L. acidophilus showed susceptibility for gentamicin and co-amoxiclave. The isolates depicted no antimicrobial activity against the indicator bacteria. L. acidophilus and L. plantarum were capable of tolerating Cd and Pb. Maximum tolerance and removal were observed for Pb by both Lactobacillus spp. The Cd removal was 11.50 and 3.50% while Pb removal was 42.70 and 35.50% for L. plantarum and L. acidophilus, respectively. In conclusion, L. acidophilus and L. Plantarum have potential for bioremediation of heavy metals.

Exploring the redox characteristics of porous ZnCoS@rGO grown on nickel foam as a high-performance electrode for energy storage applications.

A supercapattery is a device that combines the properties of batteries and supercapacitors, such as power density and energy density. A binary composite (zinc cobalt sulfide) and rGO are synthesized using a simple hydrothermal method and modified Hummers' method. A notable specific capacity (Cs) of 1254 C g-1 is obtained in the ZnCoS@rGO case, which is higher than individual Cs of ZnS (975 C g-1) and CoS (400 C g-1). For the asymmetric (ASC) device (ZnCoS@rGO//PANI@AC), the PANI-doped activated carbon and ZnCoS@rGO are used as the cathode and anode respectively. A high Cm of 141 C g-1 is achieved at 1.4 A g-1. The ASC is exhibited an extraordinary energy density of 45 W h kg-1 with a power density 5000 W kg-1 at 1.4 A g-1. To check the stability of the device, the ASC device is measured for 2000 charging/discharging cycles. The device showed improved coulombic efficiency of 94%. These findings confirmed that the two-dimensional materials provide the opportunities to design battery and supercapacitor hybrid devices.

Effect of Electrocoagulation and Direct Pressure Application on Bleeding from Liver Bed During Laparoscopic Cholecystectomy.

OBJECTIVE: To compare the efficacy of electrocoagulation and direct pressure application in controlling haemorrhage from the liver bed during laparoscopic cholecystectomy. STUDY DESIGN: Randomized controlled trial. Place and Duration of the Study: Department of General Surgery, Sir Ganga Ram Hospital, Lahore, Pakistan, from July 2021 to December 2021. METHODOLOGY: A total of 218 patients of either gender, aged 18 to 60 years and with bleeding from the liver bed during laparoscopic cholecystectomy were randomly allocated to two groups of haemorrhage control techniques. In group A, electrocoagulation was used and in group B, direct pressure was applied to the bleeding area for 5 minutes. Efficacy in controlling bleeding was compared in both groups. RESULTS: The mean age of all study participants was 44.6 + 13.5 years. The majority of the patients were females (89%). The mean body mass index (BMI) of all participants was 25.3 ± 3.09 kg/m2. Intraoperative bleeding was secured in 86.2% of patients in Group A vs. 81.7% of patients in Group B. However, the difference was not statistically significant (p=0.356). In 27 (12.4%) cases, bleeding could not be controlled by both of these techniques. In these cases, endosuturing was applied in 19 (70.4%) cases, spongostan in 6 (22.2%) cases, and endo-clips in 2 (7.4%) cases. Intraoperative drain and conversion to open procedure was required in 1 patient each, both belonging to the direct pressure application group. CONCLUSION: The efficacy of electrocoagulation in securing haemorrhage from the liver bed is better than the direct pressure application technique. KEY WORDS: Laparoscopic cholecystectomy, Haemorrhage, Electrocoagulation, Surgical hemostasis, Liver bed.

Gastric Staple Line Reinforcement With Ligation Clips for Hemostasis in Laparoscopic Sleeve Gastrectomy.

INTRODUCTION: In Pakistan and worldwide, there is a lack of literature on the role of ligation clips in controlling hemostasis in laparoscopic sleeve gastrectomy. ligation clips are being used to secure hemostasis and act as staple line reinforcement to prevent intra-operative and postoperative bleeding. Data can be utilized to reflect the role of staple line reinforcement with ligation clips so as to guide surgeons about its safety and efficacy. METHODOLOGY: This retrospective observational study was conducted at the Shalamar Hospital, Lahore, Pakistan, and included 120 patients. The patients' demographic parameters, BMI, intra-operative and postoperative bleeding in terms of hematemesis, melena, and fall in hemoglobin (Hb) postoperatively were compared to preoperative Hb and recorded. RESULT: One hundred and twenty cases of laparoscopic sleeve gastrectomy (LSG) were included with a mean age of 44.77±12.05 years. The mean BMI was 52.06±13.85 preoperatively. The mean drop in hemoglobin was 0.04±0.26 with a p-value of 0.07, which is statistically insignificant. Among 120 cases, two (1.7%) patients reported episodes of melena, and four (3.3%) patients reported hematemesis. Postoperative hypotension was recorded in six (5%) patients and eight (6.7%) patients had postoperative tachycardia. CONCLUSION: This study shows ligation clip application along the staple line is an effective means of hemostasis similar to suture application.

Leukocytes Classification for Leukemia Detection Using Quantum Inspired Deep Feature Selection.

Leukocytes, also referred to as white blood cells (WBCs), are a crucial component of the human immune system. Abnormal proliferation of leukocytes in the bone marrow leads to leukemia, a fatal blood cancer. Classification of various subtypes of WBCs is an important step in the diagnosis of leukemia. The method of automated classification of WBCs using deep convolutional neural networks is promising to achieve a significant level of accuracy, but suffers from high computational costs due to very large feature sets. Dimensionality reduction through intelligent feature selection is essential to improve the model performance with reduced computational complexity. This work proposed an improved pipeline for subtype classification of WBCs that relies on transfer learning for feature extraction using deep neural networks, followed by a wrapper feature selection approach based on a customized quantum-inspired evolutionary algorithm (QIEA). This algorithm, inspired by the principles of quantum physics, outperforms classical evolutionary algorithms in the exploration of search space. The reduced feature vector obtained from QIEA was then classified with multiple baseline classifiers. In order to validate the proposed methodology, a public dataset of 5000 images of five subtypes of WBCs was used. The proposed system achieves a classification accuracy of about 99% with a reduction of 90% in the size of the feature vector. The proposed feature selection method also shows a better convergence performance as compared to the classical genetic algorithm and a comparable performance to several existing works.