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Abstract This work investigates the efficiency of green-synthesized WO3 nanoflakes for the removal of methylene blue dye. The synthesis of WO3 nanoflakes using Hyphaene thebaica fruit extract results in a material with a specific surface area of 13 m2/g and an average pore size of 19.3 nm. A combined theoretical and experimental study exhibits a complete understanding of the MB adsorption mechanism onto WO3 nanoflakes. Adsorption studies revealed a maximum methylene blue adsorption capacity of 78.14 mg/g. The pseudo-second-order model was the best to describe the adsorption kinetics with a correlation coefficient (R2) of 0.99, suggesting chemisorption. The intra-particle diffusion study supported a two-stage process involving surface adsorption and intra-particle diffusion. Molecular dynamic simulations confirmes the electrostatic attraction mechanism between MB and the (002) WO3 surface, with the most favorable adsorption energy calculated as -0.68 eV. The electrokinetic study confirmed that the WO3 nanoflakes have a strongly negative zeta potential of -31.5 mV and a uniform particle size of around 510 nm. The analysis of adsorption isotherms exhibits a complex adsorption mechanism between WO3 and MB, involving both electrostatic attraction and physical adsorption. The WO3 nanoflakes maintained 90% of their adsorption efficiency after five cycles, according to the reusability tests.

Introduction: Diabetic Neuropathy (DN) is a well known difficult to treat microvascular complication of diabetes. Based on Nerve Conduction Velocity (NCV) studies, DN has been classified into various types. Many possible aetiologies have been proposed. C-Reactive Protein (CRP) plays a role in the development of diabetic microvascular complications, while Homocysteine (Hcys) can harm the endothelium by inducing excessive sulfation of connective tissue. Aim: To study the levels of Hcys and CRP in NCV-proven patients with DN and to associate these levels with the type of DN. Materials and Methods: This was a cross-sectional study conducted at a semi-urban medical college hospital in Western Maharashtra, India, between February 2022 and May 2024. The study included 70 patients over 18 years of age with NCV-proven DN in Type 2 Diabetes Mellitus (DM), in whom serum Hcys and CRP levels were evaluated. Data collected were analysed using Statistical Package for Social Sciences (SPSS) software version 26.0. Results: A total of 32 female participants (45.7%) and 38 male participants (54.3%). Among the study participants, 23 (32.9%) had a duration of diabetes of 5-10 years, and 47 (67.1%) had a mixed type of neuropathy. Elevated Hcys levels were observed in 18 (25.7%) participants, while 49 (70%) showed elevated CRP levels. CRP levels were raised in the mixed type of neuropathy, with 35 (71.4%) affected, while elevated Hcys levels were observed among the sensory neuropathies in 6 (33.3%) participants. Conclusion: No significant association was found between elevated Hcys and CRP levels and the type of neuropathy.

Background The rural–urban healthcare disparity in India was exacerbated during the COVID-19 pandemic, with the second wave hitting rural areas particularly hard due to weak infrastructure. A study in Chhattisgarh aims to explore the experiences of severely ill COVID-19 survivors and caregivers to inform patient-centric care delivery in primary settings. Methods In this qualitative study, we conducted in-depth interviews with seven patients and seven caregivers during home visits or telephonically to understand lived experiences of receiving care for COVID-19 in an ICU in the public health system. Socioecological model was used to guide the qualitative inquiry. Results COVID-19 patients faced stigma due to their diagnosis. The survivors felt lonely due to isolation, uncertainty about their illness, and fear of death. Poor mental health during ICU stay affected their physical health. Patients with caregivers felt supported despite visitor restrictions. Transparent communication with health providers reduced distress. Conclusion The study in Chhattisgarh, India, highlights ICU survivors’ and caregivers’ experiences, revealing fear and loneliness among patients. Effective communication and caregiver presence improve outcomes, emphasizing holistic support. There’s an urgent need for palliative care integration, caregiver inclusion, and comprehensive post-discharge follow-up by primary-level practitioners in rural settings. Lack of state-level palliative care policy emphasizes the need for comprehensive initiatives to enhance healthcare outcomes.

Abstract This study addresses the critical need for effective groundwater (GW) management in Muzaffarabad, Pakistan, amidst challenges posed by rapid urbanization and population growth. By integrating Support Vector Machine (SVM) and Weight of Evidence (WOE) techniques, this study aimed to delineate GW potential zones and assess water quality. This study fills the gap in applying advanced machine learning and geostatistical methods for accurate GW potential mapping. Eight thematic layers based on topography, hydrology, geology, and ecology were utilized to compute the GW potential model. Additionally, water quality analysis was performed on collected samples. The findings indicate that flat and gently sloping terrains, areas with an elevation range of 611 –687 m, and concave slope geometries are associated with higher GW potential. Additionally, proximity to drainage and high-density lineament zones contribute to increased GW potential. The results showed that 31.1% of the area had excellent GW potential according to the WOE model, whereas the SVM model indicated that only 20.3% fell in the excellent potential zone. Results showed that both models performed well in the delineating GW potential zones. Nevertheless, the application of the SVM method is highly recommended which will be benefited in GW resources management related to urban planning. The study also evaluates the spatial distribution of GW quality, with a focus on physical and chemical parameters, including electrical conductivity, pH, turbidity, total dissolved solids, calcium, magnesium, chloride, nitrate, and sulphate. Bacterial contamination assessment reveals that 76% of spring water samples (30 out of 39 samples) are contaminated with E.coli, raising public health concerns. Based on the chemical analysis of GW samples the study identified exceedances of WHO guidelines for calcium in two samples, magnesium in seven samples, sulphate in ten samples, and nitrate levels were below the WHO guideline across all samples. These results highlight localized chemical contamination issues that require targeted remediation efforts to safeguard water quality for public health.

Abstract A carbon-supported electrocatalyst, featuring carbon nanotubes anchored on 3D porous graphitic carbon, was developed with the aim to perform in the operating conditions of alkaline fuel cells and metal air batteries. The catalyst was developed via two steps: first powders of Sporopollenin exine capsules used as a bio-based carbon support were activated via CO2 gasification to obtain a high specific area and porosity, second the derived porous carbons were impregnated by an iron salt and a nitrogen source, to be carbonised in Nitrogen at high temperature. The prepared catalyst demonstrated an efficient oxygen reduction reaction activity showing a half-wave potential of ~ 0.775 V vs. Reversible hydrogen electrode, comparable with that of commercial 20 wt% Pt/C in alkaline conditions, a good stability after accelerated degradation testing, retaining ~ 86% of the initial limiting current density, and a higher diffusion limited current density (6.3 vs. 5.1 mA cm− 2) than the commercial counterpart. Overall, we show the suitability of Sporopollenin exine capsule as support for electrocatalysis and a promising methodology to develop sustainable catalysts for the oxygen reduction reaction.

Abstract This study investigates the efficacy of newly synthesized inhibitor with a dual function of corrosion inhibition and biocide for control of microbial influenced corrosion (MIC) in carbon steel API 5LX in the cooling tower water (CTW) environment. Four types of N-substituted tetrabromophthalic inhibitor (N-TBI) were synthesized, and the structural characterization was performed via proton nuclear magnetic resonance spectroscopy, thermogravimetric analysis and high-resolution mass spectrometry. These studies revealed the distinctive optical, thermal, and dielectric properties of the synthesized inhibitors. The corrosion inhibition efficiency has been evaluated by the weight loss (WL) analysis and electrochemical measurements (ECM) and biofilm assay. Biofilm assays and WL showed that inhibitor II exhibited the highest inhibition efficiency 74% and 79% respectively than others. Further ECM showed that the higher charge transfer resistance and the lower corrosion current, suggesting a protective film formed on the metal surface which was due to the adsorption of the N-TBI. Fourier transform infrared spectroscopy confirmed the adsorption of the N-TBI as C–O stretching and C–H bending with the Fe complex. X-ray diffractometer revealed that the presence of inhibitors in the corrosion product (Fe3O4, Fe2O3, FeH2O2, FeS) were highly reduced than the control system. Overall, this study highlighted the potential application of N-TBI with dual function of corrosion inhibition and biocide to control the MIC for carbon steel API 5LX used in the CTW environment.

Abstract In the fields of mathematics, chemistry, and the physical sciences, graph theory plays a substantial role. Using modern mathematical techniques, quantitative structure-property relationship (QSPR) modeling predicts the physical, synthetic, and natural properties of substances based only on their chemical composition. For a chemical graph, the temperature of a vertex is a local property introduced by Fajtlowicz (1988). A temperature-based graphical descriptor is structured based on temperatures of vertices. Involving a non-zero real parameter $$\beta$$ β , the general F-temperature index $$T_{\beta }$$ T β is a temperature index having strong efficacy. In this paper, we employ discrete optimization and regression analysis to find optimal value(s) of $$\beta$$ β for which the prediction potential of $$T_{\beta }$$ T β and the total $$\pi$$ π -electron energy $$E_{\pi }$$ E π of polycyclic hydrocarbons is the strongest. This, in turn, answers an open problem proposed by Hayat & Liu (2024). Applications of the optimal values for $$T_{\beta }$$ T β are presented a two-parametric family of carbon nanocones in predicting their $$E_{\pi }$$ E π with significantly higher accuracy.

Abstract Inhibition of glycogen phosphorylase (Pyg) – a regulatory enzyme of glycogen phosphorolysis – influences memory formation in rodents. We have previously shown that 2-week intraperitoneal administration of a Pyg inhibitor BAY U6751 stimulated the “rejuvenation” of the hippocampal proteome and dendritic spines morphology and improved cognitive skills of old mice. Given the tedious nature of daily intraperitoneal drug administration, in this study we investigated whether a single dose of BAY U6751 could induce enduring behavioral effects. Obtained results support the efficacy of such treatment in significantly improving the cognitive performance of 20-22-month-old mice. Metabolomic analysis of alterations observed in the hippocampus, cerebellum, and cortex reveal that the inhibition of glycogen phosphorolysis impacts not only glucose metabolism but also various other metabolic processes.

Abstract Cotton seeds have poorer germination than other crops because of their high sensitivity towards insect pests and other biotic and abiotic stresses during the germination process. In the present study, inorganic bulk and nano nutrients of zinc oxide (ZnO) and titanium oxide (TiO2) nanoparticles were synthesized using the chemical reduction method and invigourated with cotton seeds. The characterization of nanoparticles was done by FESEM, HRTEM, UV/Vis analysis and FTIR. The delinted and fuzzy seeds of two American cotton varieties (H 1300 and H 1098-i) were nano-primed for 10 h with zinc oxide nanoparticles (ZnONPs) @ 400 ppm and titanium dioxide nanoparticles (TiO2NPs) @ 100 ppm. After nanoparticle invigouration, the seeds were analyzed for various parameters at different intervals (0 months, 3 months, 6 months, 9 months and 12 months) such as germination percentage, seedling length, seedling dry weight, electrical conductivity, dehydrogenase activity, antioxidant enzyme activity. The results indicated that that different storage periods and nanopriming treatments had significant effects on all seed quality parameters except the effect of nanopriming treatments on germination percentage (excluding delinted seeds of H 1098-i). It is also revealed that the interaction effect of nanopriming treatment and storage period was non-significant on all parameters except EC. Maximum reduction in seed quality parameters was observed in control treatment and minimum was found when seeds were nanoprimed with ZnONPs @ 400 ppm. The differences in the response for both NPs can be attributed to their surface charge, and concentration used. Overall, ZnONPs and TiO2NPs could hold seed quality and vigour during the storage of cotton seeds of American varieties (H 1300 and H 1098-i).

Abstract A conformal reflective metasurface fed by a dual-band multiple-input multiple-output (MIMO) antenna is proposed for low-cost beam steering applications in 5G Millimeter-wave frequency bands. The beam steering is accomplished by selecting a specific port of MIMO antenna. Each MIMO port is associated with a beam that points in a different direction due to a conformal reflective metasurface. This novel conformal metasurface antenna design has the advantages of higher gain, lower cost, a simpler feeding source, and a lower profile when compared to traditional reflective metasurfaces using bulky horn antennas and phased arrays with complex feeding networks and phase shifters for beam steering. The proposed beam steering antenna consists of a compact five-element dual-band MIMO and a $$32 \times 32$$ 32 × 32 unit-cell conformal dual-band reflective metasurface placed at the top of the MIMO antenna to obtain the beam steering capability as well as gain enhancement. The proposed reflective metasurface has a stable response under oblique incidence angles of up to $$60^0$$ 60 0 at 24 GHz and 38 GHz and its symmetric, single-layer structure, ensures polarization insensitivity and stable response under conformal conditions. The presented MIMO antenna design is not only compact but also offers a wideband response effectively covering the desired 5G mm-wave frequency bands. The overall size of the MIMO antenna alone is 70 $$\times$$ × 12 $$\hbox {mm}^2$$ mm 2 with a maximum gain of 5.4 and 7.2 dB. It is further improved up to 13.1 and 14.2 dB at 24 and 38 GHz respectively, with a beam steering range of ś $$40^0$$ 40 0 by using a conformal reflective metasurface. Unlike the existing beam steering strategies, the suggested method is not only cost-effective but also increases the overall directivity and gain of the source MIMO antenna. The measured results agree with the simulated results, making it a potential candidate in the 5G and beyond beam steering applications.

Abstract This paper presents a subdivision collocation algorithm for numerically solving the heat conduction equation with non-uniform thermal diffusivity, considering both initial and boundary conditions. The algorithm involves transforming the differential form of the heat conduction equation into a system of equations and discretizing the time variable using the finite difference formula. The numerical solution of the system of heat conduction equations is then obtained. The feasibility of the algorithm is verified through theoretical and numerical analyses. Additionally, numerical and graphical representations of the obtained numerical solutions are provided, along with a comparison to existing methods. The results demonstrate that our proposed method outperforms the existing methods in terms of accuracy.

Abstract The ZnFe prussian blue analogue [ZnFe(PBA)] was infused with Ti3C2Tx (MXene) denoted as ZnFe(PBA)@Ti3C2Tx and was prepared by an in-situ sonication method to use as a non-enzymatic screen printed electrode sensor. The advantage of non-enzymatic sensors is their excellent sensitivity, rapid detection, low cost and simple design. The synthesized ZnFe(PBA)@Ti3C2Tx was characterized for its physical and chemical characterization by XRD, Raman, XPS, EDAX, and FESEM analysis. It possessed multiple functionalized layers and a cubic structure in the nanohybrid. Further, the sensor was investigated by using electroanalytical studies such as cyclic voltammetry and chronoamperometry analysis. The enhanced surface area with a cubic structure of ZnFe(PBA) and the excellent electrical response of Ti3C2 nanosheet support the advancement of a non-enzymatic electrochemical glucose sensor with improved sensitivity of 973.42 µA mM−1 cm−2 with the limit of detection (LOD) of 3.036 µM (S/N = 3) and linear detection range (LDR) from 0.01 to 1 mM.

Abstract TextNetTopics (Yousef et al. in Front Genet 13:893378, 2022. https://doi.org/10.3389/fgene.2022.893378 ) is a recently developed approach that performs text classification-based topics (a topic is a group of terms or words) extracted from a Latent Dirichlet Allocation topic modeling as features rather than individual words. Following this approach enables TextNetTopics to fulfill dimensionality reduction while preserving and embedding more thematic and semantic information into the text document representations. In this article, we introduced a novel approach, the Ensemble Topic Model for Topic Selection (ENTM-TS), an advancement of TextNetTopics. ENTM-TS integrates multiple topic models using the Grouping, Scoring, and Modeling approach, thereby mitigating the performance variability introduced by employing individual topic modeling methods within TextNetTopics. Additionally, we performed a thorough comparative study to evaluate TextNetTopics’ performance using eleven state-of-the-art topic modeling algorithms. We used the extracted topics for each as input to the G component in the TextNetTopics tool to select the most compelling topic model regarding their predictive behavior for text classification. We conducted our comprehensive evaluation utilizing the Drug-Induced Liver Injury textual dataset from the CAMDA community and the WOS-5736 dataset. The experimental results show that the Latent Semantic Indexing provides comparable performance measures with fewer discriminative features when compared with other topic modeling methods. Moreover, our evaluation reveals that the performance of ENTM-TS surpasses or aligns with the optimal outcomes obtained from individual topic models across the two datasets, establishing it as a robust and effective enhancement in text classification tasks.

Abstract Micropollutants, such as heavy metals and pesticides, inhibit microbial growth, threatening ecosystems. Yet, the mechanism behind mycoremediation of the pesticide lindane and multiple metals (Cd, Total Cr, Cu, Ni, Pb, Zn) remains poorly understood. In our study, we investigated cellular responses in Aspergillus fumigatus PD-18 using LC-MS/MS, identifying 2190 proteins, 1147 of which were consistently present under both stress conditions. Specifically, Cu-Zn superoxide dismutase and heat shock proteins were up-regulated to counter oxidative stress and protein misfolding. Proteins involved in intracellular trafficking, secretion, and vesicular transport; RNA processing and modification showed enhanced abundance and regulating stress response pathways. Additionally, haloalkane dehalogenase and homogentisate 1,2-dioxygenase played pivotal roles in lindane mineralization. Bioinformatics analysis highlighted enriched pathways such as Glyoxylate and dicarboxylate metabolism and Purine metabolism, that are crucial for combating adverse environments. We identified the hub protein 26 S proteasome regulatory subunit complex as potential biomarker and remedial targets for mycoremediation of wastewater, suggesting practical applications for environmental remediation.

Hyperhaemolysis syndrome, often associated with sickle cell disease, can also occur in non sickle cell conditions following viral infections and autoimmune disorders. This case report presents a rare instance of hyperhaemolysis in the context of familial anaemia. A 41-year-old female with a history of unexplained anaemia presented with four episodes of haematemesis, abdominal pain, and headache. She had received a blood transfusion a month prior. Upon admission, she was diagnosed with pancytopenia and hypovolemic shock and was treated with packed cell volume transfusions. The patient had a significant family history of anaemia in her sisters, who also required intermittent blood transfusions. Following admission, she developed thrombocytopenia, a drop in Haemoglobin (Hb), petechiae, and subdural haemorrhage. Further investigations confirmed hyperhaemolysis syndrome. Treatment included blood transfusions, random donor platelet transfusions, and corticosteroids. The patient was discharged on prednisolone and cyclosporine. Over six months, her condition improved significantly, with no further bleeding episodes and stable Hb levels. Diagnosing hyperhaemolysis syndrome is challenging and requires a high index of suspicion. This case underscores the importance of considering hyperhaemolysis in patients with familial anaemia and unexplained haemolytic episodes. Early recognition and appropriate management are crucial for favourable outcomes.

Background: Renal replacement therapy (RRT) is advised in end-stage renal disease, the last stage of chronic kidney disease (CKD). RRT includes maintenance hemodialysis (MHD)/peritoneal dialysis/renal transplant. The requirement for MHD is annually escalating in India. It is important to note that over 80% of patients receiving MHD have at least one cardiac disease at the time of dialysis initiation, such as ischemic heart disease, congestive cardiac failure, and arrhythmias. Aims and Objectives: The present study aimed to study high-sensitivity cardiac troponin I (hs-cTnI) serum level as a marker of cardiovascular injury in patients receiving MHD. It was an attempt to envisage a correlation between serum hs-cTnI and hemodialysis (HD) vintage (duration since initiation of dialysis till date). Materials and Methods: We enrolled 40 patients. Group 1 included those who had received MHD for ≤24 months, and Group 2 included those who had received MHD for more than 24 months. Results: We found no significant difference between the two groups’ clinical characteristics and demographic features. The pre-and post-HD serum hs-cTnI values of all patients were recorded. The serum hs-cTnI levels were found to be elevated in 34 out of 40 patients’ post-dialysis, and the result was statistically significant (P=0.0001). Conclusion: The present study has encouraging results, with values of hs-cTnI raised in post-dialysis samples; however, the levels did not correlate with HD vintage. Further studies with larger sample sizes and longer follow-ups would provide more detailed information on hs-cTnI’s role as a marker for HD-induced cardiac damage.

OBJECTIVE: To evaluate acute stroke care services in Sindh province of Pakistan. METHODS: This cross-sectional descriptive study, conducted from January to May 2024, assessed stroke care services in hospitals across Sindh, Pakistan. The study included hospitals that admitted more than one stroke patient per month and excluded facilities such as maternity homes and rehabilitation centers. Data were collected via structured proformas from hospital administrators through phone and email, focusing on stroke admissions, acute services, and rehabilitation capabilities. Informed consent was obtained, and ethical approval was granted by the Shifa International Hospital Ethical Committee. Data analysis utilized SPSS version 20 for continuous and categorical variables. RESULTS: Among the 34 surveyed hospitals, 15(44.1%) treated 1 to 10 stroke patients monthly, and 14 (41.2%) admitted over 300 patients annually. Neurologists were on staff in 15(44.1%) of hospitals, and 13 (38.2%) had stroke-trained physicians available 24/7. CT brain scans were accessible 24/7 in 23 (67.6%) of hospitals, with 19(55.9%) prioritizing these scans for stroke patients. Stroke units and 24/7 availability of intravenous tissue plasminogen activator (TPA) were available in 07 (20.6%) of hospitals only. Inpatient rehabilitation facilities were available in 21(61.8%) of hospitals, and 13 (38.2%) collaborated with external rehabilitation centers. Community stroke awareness programs were established in 12 (35.3%) of hospitals, and 09 (26.5%) had designed stroke prevention programs. CONCLUSION: The study highlights significant gaps in acute stroke care services in Sindh, Pakistan, emphasizing the need for improved access to thrombolytic therapy, specialized training, and community awareness programs.

Abstract Ultra-wideband (UWB) technology is extensively used in indoor navigation, medical applications, and Internet of Things devices due to its low power consumption and resilience against multipath fading and losses. This paper examines a multiple-input multiple-output (MIMO), circularly polarized (CP) dielectric resonator antenna for UWB systems. Compact form factor, high gain, wideband response, improved port isolation, and high data rates are the major design goals. This arrangement consists of two identical DRAs with self-decoupled orthogonal orientations eliminating the need for extra decoupling structures while achieving an impressive maximum isolation of 43 dB. The corner-edge feeding mechanism of the extended feedline generates two orthogonal E-fields, facilitating circular polarization. Additionally, a printed hook-shaped stub integrated with the ground plane enhances CP performance across the two operating bands without altering the DR structure. Fabrication and testing exhibit an impressive 133 $$\%$$ % impedance bandwidth (2.5–14 GHz) with high port isolation. For a 3 dB axial ratio reference, the single-element design exhibits axial ratio bandwidths (ARBW) of 1.2 GHz (3.6–4.8 GHz) and 0.8 GHz (9.3–10.1 GHz). Remarkably, the MIMO configuration achieves a single ARBW of 0.5 GHz (3.9–4.4 GHz). Detailed investigations of MIMO performance parameters, including diversity gain, envelope correlation coefficient, channel capacity loss, and total active reflection coefficient, underscore the design’s efficacy, making it a good choice for UWB wireless applications.

Abstract Background In this report, we describe an uncommon instance of fungating synovial sarcoma affecting the posterior aspect of the neck. Although the existing literature has documented a limited number of cases, this particular case contributes to the knowledge about it, which is scarce. Case presentation A total of 5 months before the examination, a Pakistani-Asian male, age 20 years, complained of a malodorous fungating swelling on the posterior aspect of his neck. An examination revealed a foul-smelling, 10 × 13 cm fungating enlargement surrounded by maggots and hemorrhaging at the site of the incision. A hemoglobin level of 6 and a total leukocyte count (TLC) of 23,000 indicated the patient’s disoriented and pallid appearance. He was expeditiously admitted, and preoperatively, the general well-being of the patient was optimized. After a comprehensive discussion with the medical team, a strategy for marginal excision and coverage with a latissimus dorsi (LD) flap and grafting was devised. The tumor was successfully excised, and an LD flap with graft was conducted on the patient during surgery; however, the infection caused the failure of half of the graft. Following that, the lesion was debrided, and re-grafting was performed. The patient was subsequently administered 5 cycles of chemotherapy and 32 cycles of radiotherapy. He was diagnosed with pulmonary metastasis 2 years later. Sadly, the patient died during a follow-up visit 3.5 years later. Conclusions The patient’s unfavorable prognosis after surgical intervention, radiotherapy, and chemotherapy, despite undergoing all-encompassing treatments, underscores the importance of early detection and intervention in fungating tumor cases.

Abstract Improved solubility and anti-inflammatory (AI) properties are imperative for enhancing the effectiveness of poorly water-soluble drugs, particularly non-steroidal anti-inflammatory drugs (NSAIDs). To address these critical issues, our focus is on obtaining NSAID materials in the form of inclusion complexes (IC) with methyl-beta-cyclodextrin (MCD). Ketoprofen (KTP) is selected as the NSAID for this study due to its potency in treating various types of pain, inflammation, and arthritis. Our objective is to tackle the solubility challenge followed by enhancing the AI activity. Confirmation of complexation is achieved through observing changes in the absorbance and fluorescence intensities of KTP upon the addition of MCD, indicating a 1:1 stoichiometric ratio. Phase solubility studies demonstrated improved dissolution rates after the formation of ICs. Further analysis of the optimized IC is conducted using FT-IR, NMR, FE-SEM, and TG/DTA techniques. Notable shifts in chemical shift values and morphological alterations on the surface of the ICs are observed compared to their free form. Most significantly, the IC exhibited superior AI and anti-arthritic (AA) activity compared to KTP alone. These findings highlight the potential of ICs in expanding the application of KTP, particularly in pharmaceuticals, where enhanced stability and efficacy of natural AIs and AAs are paramount.

Abstract Objective The integration of artificial intelligence (AI) in healthcare education is inevitable. Understanding the proficiency of generative AI in different languages to answer complex questions is crucial for educational purposes. The study objective was to compare the performance ChatGPT-4 and Gemini in answering Virology multiple-choice questions (MCQs) in English and Arabic, while assessing the quality of the generated content. Both AI models’ responses to 40 Virology MCQs were assessed for correctness and quality based on the CLEAR tool designed for evaluation of AI-generated content. The MCQs were classified into lower and higher cognitive categories based on the revised Bloom’s taxonomy. The study design considered the METRICS checklist for the design and reporting of generative AI-based studies in healthcare. Results ChatGPT-4 and Gemini performed better in English compared to Arabic, with ChatGPT-4 consistently surpassing Gemini in correctness and CLEAR scores. ChatGPT-4 led Gemini with 80% vs. 62.5% correctness in English compared to 65% vs. 55% in Arabic. For both AI models, superior performance in lower cognitive domains was reported. Both ChatGPT-4 and Gemini exhibited potential in educational applications; nevertheless, their performance varied across languages highlighting the importance of continued development to ensure the effective AI integration in healthcare education globally.

Abstract Soil contamination with heavy metals presents a substantial environmental peril, necessitating the exploration of innovative remediation approaches. This research aimed to investigate the efficiency of nano-silica in stabilizing heavy metals in a calcareous heavy metal-contaminated soil. The soil was treated with five nano-silica levels of 0, 100, 200, 500, and 1000 mg/kg and incubated for two months. The results showed that nano-silica had a specific surface area of 179.68 $${\text{m}}^{2}/\text{g}$$ m 2 / g . At 1000 mg/kg, the DTPA-extractable concentrations of Pb, Zn, Cu, Ni, and Cr decreased by 12%, 11%, 11.6%, 10%, and 9.5% compared to the controls, respectively. Additionally, as the nano-silica application rate increased, both soil pH and specific surface area increased. The augmentation of nano-silica adsorbent in the soil led to a decline in the exchangeable (EX) and carbonate-bound fractions of Pb, Cu, Zn, Ni, and Cr, while the distribution of heavy metals in fractions bonded with Fe–Mn oxides, organic matter, and residue increased. The use of 1000 mg/kg nano-silica resulted in an 8.0% reduction in EX Pb, 4.5% in EX Cu, 7.3% in EX Zn, 7.1% in EX Ni, and 7.9% in EX Cr compared to the control treatment. Overall, our study highlights the potential of nano silica as a promising remediation strategy for addressing heavy metal pollution in contaminated soils, offering sustainable solutions for environmental restoration and ecosystem protection.

Abstract Breast cancer (BC) is a malignant neoplasm which is classified into various types defined by underlying molecular factors such as estrogen receptor positive (ER+), progesterone receptor positive (PR+), human epidermal growth factor positive (HER2+) and triple negative (TNBC). Early detection of ER+ and TNBC is crucial in the choice of diagnosis and appropriate treatment strategy. Here we report the key genes associated to ER+ and TNBC using RNA-Seq analysis and machine learning models. Three ER+ and TNBC RNA seq datasets comprising 164 patients in-toto were selected for standard NGS hierarchical data processing and data analyses protocols. Enrichment pathway analysis and network analysis was done and finally top hub genes were identified. To come with a reliable classifier which could distinguish the distinct transcriptome patterns associated to ER+ and TNBC, ML models were built employing Naïve Bayes, SVM and kNN. 1730 common DEG’s exhibiting significant logFC values with 0.05 p-value threshold were identified. A list of top ten hub genes were screened on the basis of maximal clique centrality (MCC) which included CDC20, CDK1, BUB1, AURKA, CDCA8, RRM2, TTK, CENPF, CEP55 and NDC80.These genes were found to be involved in crucial cell cycle pathways. k-Nearest Neighbor (kNN) model was observed to be best classifier with accuracy 84%, specificity 66% and sensitivity 95% to differentiate between ER+ and TNBC RNA-Seq transcriptomes. Our screened list of 10 hub genes can thus help unearth novel molecular signatures implicated in ER+ and TNBC onset, prognosis and design of novel protocols for breast cancer diagnostics and therapeutics.

Abstract The research introduces a novel method for creating drug-loaded hydrogel beads that target anti-aging, anti-oxidative, and anti-inflammatory effects, addressing the interconnected processes underlying various pathological conditions. The study focuses on the development of hydrogel beads containing anti-aging compounds, antioxidants, and anti-inflammatory drugs to effectively mitigate various processes. The synthesis, characterization and in vitro evaluations, and potential applications of these multifunctional hydrogel beads are discussed. A polymeric alginate-orange peel extract (1:1) hydrogel was synthesized for encapsulating fish oil. Beads prepared with variable fish oil concentrations (0.1, 0.3, and 0.5 ml) were characterized, showing no significant decrease in size i.e., 0.5 mm and a reduction in pore size from 23 to 12 µm. Encapsulation efficiency reached up to 98% within 2 min, with controlled release achieved upto 45 to 120 min with increasing oil concentration, indicating potential for sustained delivery. Fourier-transform infrared spectroscopy confirmed successful encapsulation by revealing peak shifting, interaction between constituents. In vitro degradation studies showed the hydrogel's biodegradability improved from 30 to 120 min, alongside anti-inflammatory, anti-oxidative, anti-collagenase and anti-elastase activities, cell proliferation rate enhanced after entrapping fish oil. In conclusion, the synthesized hydrogel beads are a promising drug delivery vehicle because they provide stable and effective oil encapsulation with controlled release for notable anti-aging and regenerative potential. Targeted delivery for inflammatory and oxidative stress-related illnesses is one set of potential uses. Further research may optimize this system for broader applications in drug delivery and tissue engineering.

Abstract Betula utilis exhibits intriguing characteristics and interactions with its environment and has specific adaptations that enable it to thrive in various water conditions. Drought has a prominent role in influencing the growth and development of vegetation, while temperature serves as a crucial determinant of species distribution in high-altitude environments. The investigation was centered on the eco-physiological dimension of B. utilis in areas near the treeline. Across different seasons, sites, and years, the most negative pre-dawn twig water potentials (ΨPD) and mid-day twig water potentials (ΨMD) were − 0.81 and − 1.24 MPa, respectively. The highest seasonal change (ΔΨ) in twig water potential (Ψtwig) was in the post-monsoon season. Osmotic potential at full turgor (Ψπ100) declined by − 0.66 MPa and osmotic potential at zero turgor (Ψπ0) declined by − 1.07 MPa. The highest leaf conductance (gw) of 380.26 mmol m−2 s−1 was measured in the afternoon. During the initiation of flowering, ΨPD of the twig was − 0.72 MPa and gradually rose to − 0.17 MPa by the end of the flowering period. This study provides key insight into the Ψ dynamics, leaf conductance, and phenology of B. utilis, highlighting its adaptation to changing environmental conditions and the need for effective management strategies to ensure the resilience and conservation of this Critically Endangered species.

Abstract A theoretical perspective on grandiose narcissism suggests four forms of it (sanctity, admiration, heroism, rivalry) and states that these forms conduce to different ways of thinking and acting. Guided by this perspective, we examined in a multinational and multicultural study (61 countries; N = 15,039) how narcissism forms are linked to cognitions and behaviors prompted by the COVID-19 pandemic. As expected, differences in cognitions and behaviors across narcissism forms emerged. For example, higher narcissistic rivalry predicted lower likelihood of enactment of COVID-19 prevention behaviors, but higher narcissistic sanctity predicted higher likelihood of enactment of COVID-19 prevention behaviors. Further, whereas the heroism, admiration, and rivalry narcissism forms acted in a typically antisocial manner, with high narcissism predicting greater endorsement of unfounded health beliefs, the sanctity form acted in a prosocial manner, with higher narcissism being linked to lower endorsement of unfounded COVID-19 health beliefs. Thus, the findings (a) support the idea of four narcissism forms acting differently, and (b) show that these differences reflect a double-edged sword, sometimes linking to an anti-social orientation, and sometimes linking to a pro-social orientation.

Abstract Cancer and related disorders are the most common cause of cancer-related mortality with the incidence of 1 in 9 among the pre-menopausal Pakistani females. among the most common ailments worldwide, indicating the importance of developing particular techniques that could help attenuate the effects of breast cancer and related outcomes. The primary aim of the current study was to review the role of inflammatory and stress markers in the development and progression of breast cancer. Four hundred ninety-eight (n = 498) patients with breast cancer and four hundred and ninety-eight (n = 498) age- and sex-matched controls were selected for this case‒control study. Serum samples were obtained, and the levels of stress and inflammatory markers, including Matrix metalloproteases (MMPs), Interleukins (ILs), Heat shock proteins (HSPs), Malondialdehyde (MDA), Nitric Oxide (NO), inducible Nitric Oxide Synthase (iNOS) and Tumour necrosis factor-alpha (TNF-α), were determined. Most (62%) patients had metastatic breast cancer (stage III or IV) with an adverse grade (65% with Grade III and 35% with Grade II). The present study showed that the levels of oxidants such as MDA, ILs, MMPs and HSPs were significantly greater, while the levels of antioxidants such as Superoxide Dismutase (SOD), Glutathione (GSH), Catalase (CAT), vitamin A, C and D were significantly lower in breast cancer patients than in controls, suggesting their diagnostic importance and role in the pathophysiology of breast cancer. Oxidants, including IL-1, HSP27 and MMP9, which are highly specific and sensitive, may be used to develop the pathophysiological pathways of metastatic breast cancer in these patients. These pathways include cell invasion, cell migration and epithelial–mesenchymal transition. Therefore, we concluded that an increase in growth factors, e.g., Vascular Endothelial Growth Factor (VEGF), Tumour Growth Factor-beta (TGF-β) and B-cell lymphoma (Bcl2), under the influence of these variables plays a crucial role in the metastasis of breast cancer.

Background Plant growth and development can be greatly impacted by drought stress. Suitable plant growth promoting rhizobacteria (PGPR) or biochar (BC) application has been shown to alleviate drought stress for plants. However, their co-application has not been extensively explored in this regard. Methods We isolated bacterial strains from rhizospheric soils of plants from arid soils and characterized them for plant growth promoting characteristics like IAA production and phosphate solubilization as well as for drought tolerance. Three bacterial strains or so called PGPRs, identified as Bacillus thuringiensis, Bacillus tropicus, and Bacillus paramycoides based on their 16S rRNA, were screened for further experiments. Wheat was grown on normal, where soil moisture was maintained at 75% of water holding capacity (WHC), and induced-drought (25% WHC) stressed soil in pots. PGPRs were applied alone or in combination with a biochar derived from pyrolysis of tree wood. Results Drought stress substantially inhibited wheat growth. However, biochar addition under stressed conditions significantly improved the wheat growth and productivity. Briefly, it increased straw yield by 25%, 100-grain weight by 15% and grain yield by 10% compared to the control. Moreover, co-application of biochar with PGPRs B. thuringiensis, B. tropicus and B. paramycoides further enhanced straw yield by 37–41%, 100-grain weight by 30–36%, and grain yield by 22–22.57%, respectively. The co-application also enhanced soil quality by increasing plant-available phosphorus by 4–31%, microbial biomass by 33–45%, and soil K+/Na+ ratio by 41–44%. Conclusion Co-application of PGPRs and biochar alleviated plant drought stress by improving nutrient availability and absorption. Acting as a nutrient reservoir, biochar worked alongside PGPRs, who solubilized nutrients from the former and promoted wheat growth. We recommend that the co-application of suitable PGPRs and biochar is a better technology to produce wheat under drought conditions than using these enhancers separately.

There are reported 7.5 million cases of extra pulmonary tuberculosis (TB) (EPTB) worldwide and 19% in the South-East Asia region. Anal TB represents an exceedingly uncommon extra pulmonary manifestation of TB), occurring in fewer than 1% of individuals who acquire TB. The occurrence of perianal illness is extremely rare, accounting for 1% of the gastrointestinal (GI) tract, while GI TB makes up less than 1% of all TB cases. The most prevalent manifestation is the development of a fistula in the anus, while the presentation as a perianal abscess is uncommon. We present a case of isolated perianal TB with no associated GI or pulmonary dissemination in the immunocompetent.

Abstract Magnesium oxide nanoparticles (MgO NPs) represent an interesting inorganic material widely utilized across various fields including sensing, antimicrobial applications, optical coatings, water purification, fuel additives, absorbents, and catalysis, owing to their exceptional broad energy band gap, surface affinity, and strong chemical and thermal durability. In this investigation, MgO NPs were successfully synthesized through a green approach employing fruit extract from the gingerbread tree (Hyphaene thebaica). Analysis via scanning electron microscopy (SEM) and transmission electron microscopy (TEM) confirmed their agglomerated quasi-spherical shape with a size range of 20–60 nm. The X-ray diffraction (XRD) pattern exhibited prominent peaks at planes (200) and (220), indicating the high crystallinity of MgO NPs with a crystallite size of 32.6 ± 5 nm while Energy-dispersive X-ray spectroscopy (EDS) analysis highlighted the composition comprises 40.47% Magnesium and 48.64% Oxygen by weight. Fourier transform infrared spectroscopy (FT-IR) revealed characteristic Mg-O bonds through peaks at 560 cm−1 and 866 cm−1, while Raman spectroscopy affirmed the cubic structure of MgO. Subsequently, the photocatalytic performance of MgO NPs under visible light irradiation was evaluated. Remarkably, the addition of 1 g/L of MgO nano-catalyst resulted in a degradation efficiency of 98% after 110 min on methylene blue dye, showcasing the high catalytic activity of MgO NPs. This remarkable photocatalytic efficiency emphasizes the potential of MgO NPs in environmental remediation.

Abstract The field of data exploration relies heavily on clustering techniques to organize vast datasets into meaningful subgroups, offering valuable insights across various domains. Traditional clustering algorithms face limitations in terms of performance, often getting stuck in local minima and struggling with complex datasets of varying shapes and densities. They also require prior knowledge of the number of clusters, which can be a drawback in real-world scenarios. In response to these challenges, we propose the "hybrid raven roosting intelligence framework" (HRIF) algorithm. HRIF draws inspiration from the dynamic behaviors of roosting ravens and computational intelligence. What distinguishes HRIF is its effective capacity to adeptly navigate the clustering landscape, evading local optima and converging toward optimal solutions. An essential enhancement in HRIF is the incorporation of the Gaussian mutation operator, which adds stochasticity to improve exploration and mitigate the risk of local minima. This research presents the development and evaluation of HRIF, showcasing its unique fusion of nature-inspired optimization techniques and computational intelligence. Extensive experiments with diverse benchmark datasets demonstrate HRIF's competitive performance, particularly its capability to handle complex data and avoid local minima, resulting in accurate clustering outcomes. HRIF's adaptability to challenging datasets and its potential to enhance clustering efficiency and solution quality position it as a promising solution in the world of data exploration.

Introduction: Gestational Diabetes Mellitus (GDM) affects maternal placental blood flow. As a compensatory mechanism for placental haemodynamic changes, blood flow is redistributed from peripheral vessels to the brain. This re-distribution can be evaluated using doppler Ultrasonography (USG) measurements of the umbilical arteries and foetal middle cerebral arteries. Aim: To compare doppler flow parameters {Pulsatility Index (PI), Resistance Index (RI), Peak Systolic Velocity (PSV), Systolic-To-Diastolic (S/D)} of the foetal Middle Cerebral Artery (MCA) in pregnancy with gestational diabetes versus normal pregnancy, and to compare pregnancy outcomes in GDM versus non-GDM women. Materials and Methods: A prospective cohort study was conducted from November 2019 to November 2021 at the Department of Obstetrics and Gynaecology, Department of Radiology, and Department of Paediatrics in Tertiary care centre of New Delhi, India. All pregnant women attending the Antenatal Care Outpatient Department (ANC OPD) upto 34 weeks with an Oral Glucose Tolerance Test (OGTT) ≥140 mg/dL were defined as cases, and those with OGTT

Abstract Independent component analysis (ICA) and dictionary learning (DL) are the most successful blind source separation (BSS) methods for functional magnetic resonance imaging (fMRI) data analysis. However, ICA to higher and DL to lower extent may suffer from performance degradation by the presence of anomalous observations in the recovered time courses (TCs) and high overlaps among spatial maps (SMs). This paper addressed both problems using a novel three-layered sparse DL (TLSDL) algorithm that incorporated prior information in the dictionary update process and recovered full-rank outlier-free TCs from highly corrupted measurements. The associated sequential DL model involved factorizing each subject’s data into a multi-subject (MS) dictionary and MS sparse code while imposing a low-rank and a sparse matrix decomposition restriction on the dictionary matrix. It is derived by solving three layers of feature extraction and component estimation. The first and second layers captured brain regions with low and moderate spatial overlaps, respectively. The third layer that segregated regions with significant spatial overlaps solved a sequence of vector decomposition problems using the proximal alternating linearized minimization (PALM) method and solved a decomposition restriction using the alternating directions method (ALM). It learned outlier-free dynamics that integrate spatiotemporal diversities across brains and external information. It differs from existing DL methods owing to its unique optimization model, which incorporates prior knowledge, subject-wise/multi-subject representation matrices, and outlier handling. The TLSDL algorithm was compared with existing dictionary learning algorithms using experimental and synthetic fMRI datasets to verify its performance. Overall, the mean correlation value was found to be $$26\%$$ 26 % higher for the TLSDL than for the state-of-the-art subject-wise sequential DL (swsDL) technique.

Abstract Cerium oxide nanoparticles possess unique properties that make them promising candidates in various fields, including cancer treatment. Among the proposed synthesis methods for CNPs, biosynthesis using natural extracts, offers an eco-friendly and convenient approach for producing CNPs, particularly for biomedical applications. In this study, a novel method of biosynthesis using the aqueous extract of Eucalyptus camaldulensis leaves was used to synthesize CNPs. Scanning electron microscopy and Transmission electron microscopy (TEM) techniques revealed that the synthesized CNPs exhibit a flower-like morphology. The particle size of CNPs obtained using Powder X-ray diffraction peaks and TEM as 13.43 and 39.25 nm. Energy-dispersive X-ray spectroscopy and Fourier transform infrared spectroscopy confirmed the effect of biomolecules during the synthesis process and the formation of CNPs. The cytotoxicity of biosynthesized samples was evaluated using the MTT method demonstrating the potential of these samples to inhibit MCF-7 cancerous cells. The viability of the MCF-7 cell line conducted by live/dead imaging assay confirmed the MTT cytotoxicity method and indicated their potential to inhibit cancerous cells. Furthermore, the successful uptake of CNPs by MCF-7 cancer cells, as demonstrated by confocal microscopy, provides evidence that the intracellular pathway contributes to the anticancer activity of the CNPs. In general, results indicate that the biosynthesized CNPs exhibit significant cytotoxicity against the MCF-7 cancerous cell line, attributed to their high surface area.

Abstract Green synthesis aligns with the global demand for eco-friendly and sustainable technologies, reducing the dependency on harmful chemicals and high-energy processes typically used in conventional synthesis techniques. This study highlights a novel green synthesis route for nickel cobaltite nanoparticles (NiCO2O4 NPs) utilizing Hyphaene thebaica extract as a natural reducing and stabilizing agent. The synthesized NiCO2O4 NPs, with sizes ranging from 20 to 30 nm, exhibited uniform diamond-like structures as confirmed by SEM and TEM imaging. XRD analysis verified the polycrystalline nature of these nanoparticles, while EDS measurements confirmed the elemental composition of Ni and Co. The presence of functional groups was subsequently verified through FT-IR analysis, and Raman spectroscopy further confirmed phase formation. Electrochemical evaluations revealed significant pseudocapacitive behavior, showing a specific capacitance of 519 F/g, demonstrating their potential for high-performance supercapacitors. To further assess the applicability of the synthesized NiCO2O4 NPs, their photocatalytic activity against methylene blue (MB) dye was investigated, resulting in a 99% degradation rate. This impressive photocatalytic efficiency highlights their potential application in environmental remediation. Overall, this work underscores the significant potential of green synthesis methods in producing high-performance nanomaterials while simultaneously reducing environmental impact and promoting sustainable development.

Abstract The demand for modern electronics and semiconductors has increased throughout the years, which has enabled the innovation and exploration of solution-processed deposition. Solution-based processes have gained a lot of interest due to the low-cost fabrication and the large fabrication areas without the need for high-vacuum equipment. In this study, we utilized the ZnO ink for inkjet printer ink to fabricate a thin film via Electrohydrodynamic printing. Three different ink solutions were prepared for experimentation. The EHD printing technique demonstrated the ink’s compatibility with and without the modifications. The outcomes of the EHD printed materials were comparable with the spin-coated thin films. The EHD-printed films demonstrated better results in comparison to spin-coated films. Ra and Rq of the EHD film measured at 3.651 nm and 4.973 nm, respectively. It improved the absorbance up to two-fold at 360 nm wavelength and electrical conductivity up to 40% compared to the spin-coated films. Furthermore, the optimization of the printing parameters can lead to the improved morphology and thickness of the EHD thin films.

Abstract In regions like Oman, which are characterized by aridity, enhancing the water quality discharged from reservoirs poses considerable challenges. This predicament is notably pronounced at Wadi Dayqah Dam (WDD), where meeting the demand for ample, superior water downstream proves to be a formidable task. Thus, accurately estimating and mapping water quality indicators (WQIs) is paramount for sustainable planning of inland in the study area. Since traditional procedures to collect water quality data are time-consuming, labor-intensive, and costly, water resources management has shifted from gathering field measurement data to utilizing remote sensing (RS) data. WDD has been threatened by various driving forces in recent years, such as contamination from different sources, sedimentation, nutrient runoff, salinity intrusion, temperature fluctuations, and microbial contamination. Therefore, this study aimed to retrieve and map WQIs, namely dissolved oxygen (DO) and chlorophyll-a (Chl-a) of the Wadi Dayqah Dam (WDD) reservoir from Sentinel-2 (S2) satellite data using a new procedure of weighted averaging, namely Bayesian Maximum Entropy-based Fusion (BMEF). To do so, the outputs of four Machine Learning (ML) algorithms, namely Multilayer Regression (MLR), Random Forest Regression (RFR), Support Vector Regression (SVRs), and XGBoost, were combined using this approach together, considering uncertainty. Water samples from 254 systematic plots were obtained for temperature (T), electrical conductivity (EC), chlorophyll-a (Chl-a), pH, oxidation–reduction potential (ORP), and dissolved oxygen (DO) in WDD. The findings indicated that, throughout both the training and testing phases, the BMEF model outperformed individual machine learning models. Considering Chl-a, as WQI, and R-squared, as evaluation indices, BMEF outperformed MLR, SVR, RFR, and XGBoost by 6%, 9%, 2%, and 7%, respectively. Furthermore, the results were significantly enhanced when the best combination of various spectral bands was considered to estimate specific WQIs instead of using all S2 bands as input variables of the ML algorithms.

Abstract A compact low-profile multi-band millimeter-wave (mm-wave) reflectarray metasurface design is presented for coverage enhancement in 5G and beyond cellular communication. The proposed single-layer metasurface exhibits a stable reflection response under oblique incidence angles of up to 60 $$^\circ$$ ∘ at 24 and 38 GHz, and transmission response at 30 GHz, effectively covering the desired 5G mm-wave frequency bands. The proposed reflectarray metasurface is polarization insensitive and performs equally well under TE and TM polarized incident waves due to the symmetric pattern. In addition, the low profile of the proposed metasurface makes it appropriate for conformal applications. In comparison to the state-of-the-art, the proposed reflectarray metasurface unit cell design is not only compact (3.3 $$\times$$ × 3.3 mm $$^2$$ 2 ) but also offers two reflections and one transmission band based on a single-layer structure. It is easy to reconfigure the proposed metasurface unit cell for any other frequency band by adjusting a few design parameters. To validate the concept of coverage enhancement, a 32 $$\times$$ × x32 unit-cell prototype of the proposed reflectarray metasurface is fabricated and measured under different scenarios. The experimental results demonstrate that a promising signal enhancement of 20–25 dB is obtained over the entire 5G mm-wave n258, n259, and n260 frequency bands. The proposed reflectarray metasurface has a high potential for application in mm-wave 5G networks to improve coverage in dead zones or to overcome obstacles that prevent direct communication linkages.

OBJECTIVE: To study the frequency of disordered eating (DE) behaviors and associated factors among Pakistani adolescent female students residing in Islamabad. METHODS: This cross-sectional study was conducted from May 2022 to August 2022. A total of 411 adolescent females aged 13 to 18 were recruited using purposive sampling from schools and colleges in Islamabad, the capital city of Pakistan. Data was collected using the Eating Disorder Examination Questionnaire–Short Form (EDE-Q-SF) and a background characteristics sheet. Out of 411 initially recruited participants, 381 female students remained after removing incomplete questionnaires and outliers for the study. Statistical analysis was performed using SPSS (version 20), including Pearson's product-moment correlation, independent samples t-test, Chi-square tests, and one-way ANOVA to examine the relationship between disordered eating and BMI. RESULTS: Mean age of the participants was 15.31±1.66 years. Among the 381 adolescent females, 19% reported moderate levels of DE, and 43.8% were underweight. Significant correlations were found between BMI and DE (α=0.323). Bivariate analysis indicated that the father's occupation (t=4.59), physical illness (t=3.10), mental illness (t=2.48), and daily hours spent on social media (F=7.57) significantly impacted DE scores. None of the background characteristics significantly impacted BMI scores. CONCLUSION: Approximately one fifth of the study population reported moderate levels of DE, with 43.8% classified as underweight. Significant correlations between BMI and DE, along with the impact of various factors like parental occupation, mental illness, and social media usage, highlight the need for targeted interventions to reduce body image concerns and associated health risks in this population.

OBJECTIVE: To determine the effects of resistive expiratory muscle training (EMST-150) on lung function, maximum expiratory pressure and quality of life (QoL) in chronic obstructive pulmonary disease (COPD) atients. METHODS: This randomized controlled trial was conducted on 74 COPD patients, selected through purposive sampling, subsequently randomly assigned to experimental group (n=37) or control group (n=37). Tools used were digital spirometer for forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), peak expiratory flow (PEF), Dyspnea grade was calculated using Borg scale and QoL was measured using St. George's Respiratory Questionnaire (SQRG) supervised twice in people with COPD. Baseline data were taken at week-1 before the training and at the completion of the study which was at 6th week. RESULTS: Post-treatment, Experimental Group demonstrated a significant increase in FEV1 compared to Control Group (2.15±0.12 vs. 1.91±0.17, p

OBJECTIVE: To determine the frequency of color vision impairment among Pakistani adults at Polyclinic Hospital Islamabad. METHODOLOGY: This descriptive, cross-sectional study was conducted at Federal Government Polyclinic Hospital, Islamabad. The research was conducted from March to May 2022, employing a consecutive non-probability sampling methodology. The study centred on a cohort of participants aged 10 to 55 who received medical attention at the Ophthalmology Outpatient Department. Sampling was done using the non-probability consecutive sampling technique. The sample size was 104 patients. All adults aged between 10-55 years were included except Patients having a history of Ocular or Neurological surgery, Trauma and Patients diagnosed with Diabetes or Hypertension were excluded. The gathered data was entered and analyzed using IBM SPSS Statistics version 20. RESULTS: A total of 104 candidates underwent color vision assessment. 3.8% (4/104) of the candidates were color vision deficient. All of them were unaware of their condition. CONCLUSION: The screened Population showed color blindness in 3.8% of the candidates. All of the individuals were unaware of the condition

Objectives: To describe the clinical presentation of carotico-cavernous fistula (CCF) and outcomes of endovascular balloon embolization in a tertiary care center in a developing country. Materials and Methods: This retrospective interventional case series included 18 patients who underwent endovascular balloon embolization from 2019 to 2022 at Lahore General Hospital in Lahore, Pakistan. The analyzed data consisted of age, gender, cause and type of CCF, clinical presentation, diagnostic technique used, intervention, and the results of two-month follow-up. Patients with incomplete records and coil embolization were excluded. Digital subtraction angiography was done in all cases followed by endo-arterial balloon embolization. Procedures were carried out under general anesthesia via femoral artery approach. A single balloon was sufficient to close the fistula in all cases. Results: There were 18 patients who met the inclusion criteria. Sixteen patients had direct CCF, and the mean age of the patients was 27.2±12.6 years. The commonest cause of CCF was trauma, and the mean time of presentation after trauma was 7.89±7.19 months. The male-to-female ratio was 8:1. Preoperative visual acuity was worse than 6/60 in 8 patients, between 6/60 and 6/18 in 7 patients, and better than 6/18 in 3 patients. The mean intraocular pressure was 16.06±3.37 mmHg preoperatively and 14.83±3.49 mmHg postoperatively (p=0.005). Endovascular embolization was successful in 15 patients (83.3%). One patient developed epidural hematoma as a complication of the procedure, which was drained later. There was no mortality related with the procedure. Conclusion: Balloon embolization via the femoral artery is an efficient technique in direct as well as indirect CCF. It is safe and simple with very good results if performed in a timely manner.

Introduction: Although debatable, prophylactic antibiotics may be required for patients undergoing cholecystectomy for symptomatic gallstone disease with certain associated risk factors. Our study aimed to perform a non-randomised prospective comparative trial evaluating a single-dose pre-operative antibiotic versus a triple-dose prophylactic post-operative antibiotic in patients with symptomatic uncomplicated cholelithiasis undergoing laparoscopic cholecystectomy. Methodology: This study was a non-randomised prospective comparative study in a single institution. Two hundred patients were enrolled and allocated to two groups. Group A patients were given a single dose of pre-operative prophylactic antibiotic, and Group B patients received a triple dose of prophylactic antibiotic therapy. We also studied the bacteriological profile of bile in all the patients using bile culture and antibiotic sensitivity, and we analysed their association with post-operative surgical site infection (SSI). Results: All the patients were followed up on post-operative days 7 and 30. On post-operative day 7, 2% of patients in Group A and 1% of patients in Group B were found to have SSI, and no statistically significant difference in SSI between the two groups was noted (P = 0.558). On post-operative day 30, no patient was found to have a SSI in either of the two groups. Moreover, post-operative bile culture was obtained in all the cases, and 6% of patients had a positive bile culture. However, none of them developed SSIs on post-operative day 7. Conclusion: A single-dose pre-operative antibiotic is as effective as three perioperative doses in preventing SSI in laparoscopic cholecystectomy for symptomatic, uncomplicated gallstone disease. Our study did not associate port-site SSI with a positive bile culture.

Abstract Improved and contemporary agriculture relies heavily on pesticides, yet some can be quite persistent and have a stable chemical composition, posing a significant threat to the ecology. Removing harmful effects is upon their degradability. Biodegradation must be emphasized to lower pesticide degradation costs, especially in the soil. Here, a decision-making system was used to determine the best microbial strain for the biodegradation of the pyrethroid-contaminated soil. In this system, the criteria chosen as: pH (C 1), Temp (C 2), RPM (C 3), Conc. (C 4), Degradation (%) (C 5) and Time required for degradation(hrs) (C 6); and five alternatives were Bacillus (A 1), Acinetobacter (A 2), Escherichia (A 3), Pseudomonas (A 4), and Fusarium (A 5). The best alternative was selected by applying the TOPSIS (technique for order performance by similarity to ideal solution) method, which evaluates based on their closeness to the ideal solution and how well they meet specific requirements. Among all the specified criteria, Acinetobacter (A 2 ) was the best and optimal based on the relative closeness value (( $${R}_{i}^{*}$$ R i ∗ ) = 0.740 (A 2 ) > 0.544 (A 5 ) > 0.480 (A 1 ) > 0.403 (A 4 ) > 0.296 (A 3 )). However, the ranking of the other alternatives is also obtained in the order Fusarium (A 5), Bacillus (A 1), Pseudomonas (A 4), Escherichia (A 3). Hence this study suggests Acinetobacter is the best microbial strain for biodegradation of pyrethroids; while least preference should be given to Escherichia. Acinetobacter, versatile metabolic nature with various xenobiotic compounds' degradation ability, is gram-negative, aerobic, coccobacilli, nonmotile, and nonspore forming bacteria. Due to less study about Acinetobacter it is not in that much frame as the other microorganisms. Hence, considering the Acinetobacter strain for the biodegradation study will give more optimal results than the other microbial strains. Novelty of this study, the TOPSIS method is applied first time in selecting the best microbial strain for the biodegradation of pyrethroid-contaminated soil, considering this selection process as multi-criteria decision-making (MCDM) problem.

Objective: To determine the frequency of stress, anxiety, and depression among medical students using DASS21 scoring system. Study Design: Cross sectional survey. Place and Duration of Study: Women Medical and Dental College Abbottabad from 1 February 2023 to 31 July 2023. Materials and Methods: A sample, containing 140 students, was included in the study after receiving ethical approval from the medical college. Twenty-eight medical students each from the first year to the fifth year were contacted by using simple random sampling technique and were each given a Depression, Anxiety and Stress Scale (DASS-21). The questionnaire used in this study had two parts: a sociodemographic one that asked students about their age, year of study, relationship with family, health status, time they spent on social media, personalities, socioeconomic class, academic performance, and DASS scale, the second part of the questionnaire.The data was analyzed using the IBM SPSS (version 26.0, Armonk, NY, USA). Results: Anxiety was found in 85% of students (17% mild, 31% moderate, 15% severe, and 22% extremely severe). A total of 52% of students reported having depression (15% mild, 19% moderate, 11% severe, and 7% extremely severe). Forty-two percent of the medical students were stressed (15% mild, 12% moderate, 13% severe, and 2% extremely severe). Conclusion: A high occurrence of anxiety, followed by depression and stress, was found among medical students, affecting their academic performance and social well-being.

Abstract Hybrid development is one of the most promising strategies for boosting crop yields. Parental lines used to create hybrids must have good per se performance and disease resistance for developing superior hybrids. Indian wheat line HD3209 was developed by introducing the rust resistance genes Lr19/Sr25 into the background of popular wheat variety HD2932. The wheat line HD3209 carrying Lr19/Sr25 has been successfully and rapidly converted to the CMS line A-HD3209, with 96.01% background genome recovery, based on selection for agro-morphological traits, rust resistance, pollen sterility, and foreground and background analyses utilizing SSR markers. The converted CMS line A-HD3209 was completely sterile and nearly identical to the recurrent parent HD3209. Based on high per se performance and rust resistance, the study concludes that the derived CMS line A-HD3209 is promising and can be employed successfully in hybrid development.

Abstract The control charts are frequently employed in process monitoring to assess the average and variability of a process, assuming a normal distribution. However, it is worth noting that some process distributions tend to exhibit a positively skewed distribution, such as the lognormal distribution. This article proposed a maximum exponential weighted moving average control chart for joint monitoring of mean and variance under a lognormal process. The proposed control chart is evaluated by using the run length profile such as ARL and SDRL. The Monte Carlo simulation is conducted by using the R language to find the run length profile. An application is presented to demonstrate the design of the proposed control chart.

Abstract Antenatal anxiety is among the risk factors for adverse birth outcomes, which are common in Pakistan. Between 2019 and 2022, we conducted a randomized controlled trial to evaluate the effects of the Happy Mother-Healthy Baby program, designed to reduce anxiety during pregnancy through use of Cognitive Behavior Therapy, on birth outcomes with 796 women in Rwalpindi, Pakistan. We performed intent-to-treat analysis and per protocol analyses. Intention-to-treat analyses showed no difference in the odds of low birthweight (LBW) (Adj. OR = 0.82, 95% CI 0.55–1.28 p = 0.37), preterm birth (PTB) (Adj. OR = 1.20 95% CI 0.83–1.71, p = 0.33) or small-for-gestational age (SGA) birth, (Adj. OR = 0.76, 95% CI 0.56–1.09, p = 0.16). Among completers who received ≥ 5 intervention sessions, the odds of LBW and SGA were 39% and 32% lower (Adj. OR = 0.61, 95% CI 0.43–0.87, p

Abstract Background The healthcare system is highly complex, and adverse events often result from a combination of human factors and system failures, especially in crisis situations. Crisis resource management skills are crucial to optimize team performance and patient outcomes in such situations. Simulation-based training offers a promising approach to developing such skills in a controlled and realistic environment. Methods This study employed a mixed-methods (quantitative-qualitative) design and aimed to assess the effectiveness of a simulation-based training workshop in developing crisis resource management skills in pediatric interprofessional teams at a tertiary care hospital. The effectiveness of the intervention was evaluated using Kirkpatrick’s Model, focusing on reaction and learning levels, employing the Collaboration and Satisfaction about Care Decisions scale, Clinical Teamwork Scale, and Ottawa Global Rating Scale for pre- and post-intervention assessments. Focused group discussions were conducted with the participants to explore their experiences and perceptions of the training. Results Thirty-nine participants, including medical students, nurses, and residents, participated in the study. Compared to the participants’ pre-workshop performance, significant improvements were observed across all measured teamwork and performance components after the workshop, including improvement in scores in team communication (3.16 ± 1.20 to 7.61 ± 1.0, p