Correction: Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with mutation.

[This corrects the article DOI: 10.1371/journal.pone.0304057.].

Arsenic modifies the effect of folic acid in spina bifida prevention, a large hospital-based case-control study in Bangladesh.

BACKGROUND: Spina bifida, a developmental malformation of the spinal cord, is associated with high rates of mortality and disability. Although folic acid-based preventive strategies have been successful in reducing rates of spina bifida, some areas continue to be at higher risk because of chemical exposures. Bangladesh has high arsenic exposures through contaminated drinking water and high rates of spina bifida. This study examines the relationships between mother's arsenic exposure, folic acid, and spina bifida risk in Bangladesh. METHODS: We conducted a hospital-based case-control study at the National Institute of Neurosciences & Hospital (NINS&H) in Dhaka, Bangladesh, between December 2016 and December 2022. Cases were infants under age one year with spina bifida and further classified by a neurosurgeon and imaging. Controls were drawn from children seen at NINS&H and nearby Dhaka Shishu Hospital. Mothers reported folic acid use during pregnancy, and we assessed folate status with serum assays. Arsenic exposure was estimated in drinking water using graphite furnace atomic absorption spectrophotometry (GF-AAS) and in toenails using inductively coupled plasma mass spectrometry (ICP-MS). We used logistic regression to examine the associations between arsenic and spina bifida. We used stratified models to examine the associations between folic acid and spina bifida at different levels of arsenic exposure. RESULTS: We evaluated data from 294 cases of spina bifida and 163 controls. We did not find a main effect of mother's arsenic exposure on spina bifida risk. However, in stratified analyses, folic acid use was associated with lower odds of spina bifida (adjusted odds ratio [OR]: 0.50, 95% confidence interval [CI]: 0.25-1.00, p = 0.05) among women with toenail arsenic concentrations below the median value of 0.46 µg/g, and no association was seen among mothers with toenail arsenic concentrations higher than 0.46 µg/g (adjusted OR: 1.09, 95% CI: 0.52-2.29, p = 0.82). CONCLUSIONS: Mother's arsenic exposure modified the protective association of folic acid with spina bifida. Increased surveillance and additional preventive strategies, such as folic acid fortification and reduction of arsenic, are needed in areas of high arsenic exposure.

Prevalence of Obesity and its Effects in Patients With COVID-19: A Systematic Review and Meta-analysis.

Background: Coronavirus disease 2019 (COVID-19) is an emerging infectious disease worldwide. Obesity has been proven to increase the susceptibility of an individual to infections, but the relationship between obesity and COVID-19 is still unclear. This study aimed to conduct a systematic review and meta-analysis of the prevalence of obesity and its effects in patients with COVID-19. Methods: Web of Science, PubMed and Embase were searched for English language studies up to May 22, 2020. We used a random or fixed-effects model to calculate pooled prevalence rates and odds ratio (OR) with 95% confidence intervals (CI). Results: Twelve studies with a total of 14 364 patients met the inclusion criteria. The pooled prevalence of obesity in patients with COVID-19 was 32.0% (95% CI, 26%-38%, P < .001). The prevalence of obesity in ICU COVID-19 patients were 37.0% (95% CI, 29%-46%, P < .001). Comparing between obese and non-obese patients, the meta-analysis showed that obesity was an important risk factor associated with COVID-19 patients needed for ICU care (OR: 1.36, 95% CI 1.22-1.52, P < .001). Conclusion: Obesity was highly prevalent (32.0%) in patients with COVID-19, especially in ICU patients (37.0%), and was an important risk factor for COVID-19 patients needed for ICU care.

Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with mutation.

Automatic Text Summarization (ATS) is gaining popularity as there is a growing demand for a system capable of processing extensive textual content and delivering a concise, yet meaningful, relevant, and useful summary. Manual summarization is both expensive and time-consuming, making it impractical for humans to handle vast amounts of data. Consequently, the need for ATS systems has become evident. These systems encounter challenges such as ensuring comprehensive content coverage, determining the appropriate length of the summary, addressing redundancy, and maintaining coherence in the generated summary. Researchers are actively addressing these challenges by employing Natural Language Processing (NLP) techniques. While traditional methods exist for generating summaries, they often fall short of addressing multiple aspects simultaneously. To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. The performance of this enhanced algorithm is assessed by comparing it with state-of-the-art algorithms using the DUC2002 dataset. Experimental results demonstrate that the proposed algorithm significantly outperforms the compared approaches.

Performance predication of a solar assisted desiccant air conditioning system using radial basis function neural network: An integrated machine learning approach.

In this Paper solar desiccant air conditioning system integrated with cross flow Maisotsenko cycle (M-cycle) indirect evaporative cooler is used to investigate the performance of whole system in different range of parameters. Solar evacuated tube electric heater is used to supply the regeneration temperature to the desiccant wheel, whereas, Desiccant Wheel (DW) and M-cycle is used to handle latent load and sensible load separately. Major contribution of this research is to predict system level performance parameters of a Solar Assisted Desiccant Air Conditioning (Sol-DAC) system using Radial Basis Function Neural Network (RBF-NN) under real transient experimental inlet conditions. Nine parameters are mainly considered as input parameters to train the RBF-NN model, which are, supply Air temperature at the process side of desiccant wheel, supply air humidity ratio at process side of the desiccant wheel, outlet temperature from the desiccant wheel at process side, outlet humidity ratio from the desiccant wheel at process side, regeneration temperature at regeneration side of the DW, outlet temperature from the heat recovery wheel at process side, outlet humidity ratio out from the Heat Recovery Wheel (HRW) at process side, temperature before heat recovery wheel regeneration side of the system, humidity ratio before heat recovery wheel regeneration side of the system. Four parameters are considered as the output of the RBF-NN model, namely: output temperature, output humidity, Cooling Capacity (CC), and Coefficient of Performance (COP). The results of the RBF-NN model shows that the best Mean Squared Error (MSE) and Regression coefficient (R) for outlet temperature prediction are 0.00998279 and 0.99832 when regeneration temperature is 70 °C and inlet humidity at 18 g/kg. Best MSE and R for predication of outlet humidity are 0.0102932 and 0.99485 when the regeneration temperature is 70 °C and inlet humidity at 16 g/kg. Best MSE and R for predication of COP are 0.0106691 and 0.9981 when the regeneration temperature is 70 °C and inlet humidity 12 g/kg. Best MSE and R for predication of CC are 0.0144943 and 0.99711 when the regeneration temperature is 70 °C and inlet humidity 14 g/kg. Experimental and predicted performance parameters were in close agreement and showed minimal deviation. Investigations of predicted results revealed that trained RBF-NN model was capable of predicting the trend of output result under the varying input condition.

Cost Analysis of Bladder Catheterization After Pelvic Floor Surgery.

IMPORTANCE: Approximately 15-45% of female patients develop transient postoperative urinary retention (POUR) following pelvic reconstructive surgery. Catheter options for bladder drainage include transurethral indwelling catheter (TIC), intermittent self-catheterization (ISC), and suprapubic tube (SPT). Each strategy has risks and benefits; none have been shown to be clinically superior, and to date, no comprehensive comparative economic analysis has been published. OBJECTIVE: The objective of this study was to evaluate the cost of these different bladder catheterization strategies after transvaginal pelvic surgery. STUDY DESIGN: A Canadian universal single-payer (government funded) health system perspective was taken, and a decision tree model was constructed to evaluate the costs associated with each catheterization strategy over a 6-week horizon. Base-cases were set based on recently published clinical data of our institutions, 2 academic tertiary care centers, and based on systematic reviews and meta-analyses. Costs were established in consultation with process stakeholders, in addition to published values. RESULTS: The average cost calculated for management of transient POUR after outpatient pelvic reconstructive surgery was 150.69 CAD (median 154.86; interquartile range [IQR] 131.30-176.33) for TIC, 162.28 CAD (median 164.72; IQR 144.36-189.39) for ISC and 255.67 CAD (median 270.63; IQR 234.32-276.82) for SPT. In costing inpatient surgical data, the average cost calculated was 134.22 CAD (median 123.61; IQR 108.87-151.85) for TIC and 224.61 CAD (median 216.07; IQR 203.86-231.23) for SPT. CONCLUSION: TIC and ISC were found to be significantly less costly than SPT in managing transient POUR following transvaginal pelvic reconstructive surgery.

The Importance of Neurosurgical Intervention and Surgical Timing for Management of Pediatric Patients with Myelomeningoceles in Bangladesh.

OBJECTIVE: Reports on the management and survival of children with myelomeningocele defects in Bangladesh are limited. This study describes the characteristics and outcomes of these children, focusing on the timing of surgical repair and factors affecting survival. METHODS: We enrolled patients with myelomeningoceles in a case-control study on arsenic exposure and spina bifida in Bangladesh. Cases were subsequently followed at regular intervals to assess survival. Demographic, clinical, and surgical characteristics were reviewed. Univariate tests identified factors affecting survival. RESULTS: Between 2016 and 2022, we enrolled 272 patients with myelomeningocele. Postnatal surgical repair was performed in 63% of cases. However, surgery within 5 days after birth was infrequent (<10%) due to delayed presentation, and there was a high rate (29%) of preoperative deaths. Surgical repair significantly improved patient survival (P < 0.0001). Older age at time of surgery was also associated with improved survival rates, which most likely represents that those who survived to older ages prior to surgery accommodated better with their lesions. Patients who presented with ruptured lesions had lower survival rates. CONCLUSIONS: Timely neurosurgical repair of myelomeningoceles in Bangladesh is hindered by late patient presentation, resulting in a high preoperative patient death rate. Neurosurgical intervention remains a significant predictor of survival. Increased access to neurosurgical care and education of families and non-neurosurgical providers on the need for timely surgical intervention are important for improving the survival of infants with myelomeningoceles.

DenseHillNet: a lightweight CNN for accurate classification of natural images.

The detection of natural images, such as glaciers and mountains, holds practical applications in transportation automation and outdoor activities. Convolutional neural networks (CNNs) have been widely employed for image recognition and classification tasks. While previous studies have focused on fruits, land sliding, and medical images, there is a need for further research on the detection of natural images, particularly glaciers and mountains. To address the limitations of traditional CNNs, such as vanishing gradients and the need for many layers, the proposed work introduces a novel model called DenseHillNet. The model utilizes a DenseHillNet architecture, a type of CNN with densely connected layers, to accurately classify images as glaciers or mountains. The model contributes to the development of automation technologies in transportation and outdoor activities. The dataset used in this study comprises 3,096 images of each of the "glacier" and "mountain" categories. Rigorous methodology was employed for dataset preparation and model training, ensuring the validity of the results. A comparison with a previous work revealed that the proposed DenseHillNet model, trained on both glacier and mountain images, achieved higher accuracy (86%) compared to a CNN model that only utilized glacier images (72%). Researchers and graduate students are the audience of our article.

Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning derived Imaging Phenotypes (UDIPs). GWAS of these UDIPs in held-out UKBB subjects (n = 22,880 discovery and n = 12,359/11,265 replication cohorts for T1/T2) identified 9457 significant SNPs organized into 97 independent genetic loci of which 60 loci were replicated. Twenty-six loci were not reported in earlier T1 and T2 IDP-based UK Biobank GWAS. We developed a perturbation-based decoder interpretation approach to show that these loci are associated with UDIPs mapped to multiple relevant brain regions. Our results established unsupervised deep learning can derive robust, unbiased, heritable, and interpretable brain imaging phenotypes.

Extensively drug-resistant Salmonella Typhi leading to relapsed urinary tract infection: A case report.

Salmonella enterica serotype Typhi (S Typhi) associated urinary tract infections are exceedingly rare, accounting for less than 1% of cases. Such infections have known to occur in immune-compromised or individuals with urogenital structural abnormalities. With the emergence of extensively drug resistant S Typhi strains in Pakistan, the management of its various unique presentations poses therapeutic challenges. We report the first documented case of a 74 years old male patient presenting with relapsed urinary tract infection secondary to extensively drug resistant S Typhi.

Arsenic modifies the effect of folic acid in spina bifida prevention, a large hospital-based case-control study in Bangladesh.

Background: Spina bifida, a developmental malformation of the spinal cord, is associated with high rates of mortality and disability. Although folic acid-based preventive strategies have been successful in reducing rates of spina bifida, some areas continue to be at higher risk because of chemical exposures. Bangladesh has high arsenic exposures through contaminated drinking water and high rates of spina bifida. Methods: We conducted a hospital-based case-control study at the National Institute of Neurosciences & Hospital (NINS&H) in Dhaka, Bangladesh, between December 2016 and December 2022. Cases were infants under age one year with spina bifida and further classified using data from observations by neurosurgeons and available imaging. Controls were drawn from children who presented to NINS&H or Dhaka Shishu Hospital (DSH) during the same study period. Mothers reported folic acid use during pregnancy, and we assessed folate status with serum assays. Arsenic exposure was estimated in drinking water using graphite furnace atomic absorption spectrophotometry (GF-AAS) and in toenails using inductively coupled plasma mass spectrometry (ICP-MS). Results: We evaluated data from 294 cases of spina bifida and 163 controls. We did not find a main effect of mother's arsenic exposure on spina bifida risk. However, in stratified analyses, folic acid use was associated with lower odds of spina bifida (adjusted odds ratio [OR]: 0.50, 95% confidence interval [CI]: 0.25-1.00, p = 0.05) among women with toenail arsenic concentrations below the median, and no association was seen among mothers with toenail arsenic concentrations higher than median (adjusted OR: 1.09, 95% CI: 0.52-2.29, p = 0.82). Conclusions: Mother's arsenic exposure modified the protective association of folic acid with spina bifida. Increased surveillance and additional preventive strategies, such as folic acid fortification and reduction of arsenic, are needed in areas of high arsenic exposure.

Genome-wide analysis of spina bifida risk variants in a case-control study from Bangladesh.

BACKGROUND: Human studies of genetic risk factors for neural tube defects, severe birth defects associated with long-term health consequences in surviving children, have predominantly been restricted to a subset of candidate genes in specific biological pathways including folate metabolism. METHODS: In this study, we investigated the association of genetic variants spanning the genome with risk of spina bifida (i.e., myelomeningocele and meningocele) in a subset of families enrolled from December 2016 through December 2022 in a case-control study in Bangladesh, a population often underrepresented in genetic studies. Saliva DNA samples were analyzed using the Illumina Global Screening Array. We performed genetic association analyses to compare allele frequencies between 112 case and 121 control children, 272 mothers, and 128 trios. RESULTS: In the transmission disequilibrium test analyses with trios only, we identified three novel exonic spina bifida risk loci, including rs140199800 (SULT1C2, p = 1.9 × 10-7), rs45580033 (ASB2, p = 4.2 × 10-10), and rs75426652 (LHPP, p = 7.2 × 10-14), after adjusting for multiple hypothesis testing. Association analyses comparing cases and controls, as well as models that included their mothers, did not identify genome-wide significant variants. CONCLUSIONS: This study identified three novel single nucleotide polymorphisms involved in biological pathways not previously associated with neural tube defects. The study warrants replication in larger groups to validate findings and to inform targeted prevention strategies.

Epipericardial Fat Necrosis and Covid-19.

Background: Epipericardial fat necrosis (EFN) is a rare and self-limiting cause of acute chest pain. We describe a case of EFN in a patient with a recent coronavirus disease (COVID-19). Case Presentation: A 55-year-old male presented with a sudden onset of left-sided pleuritic chest pain for the past two days. The patient was diaphoretic, tachypneic, and tachycardic. Acute coronary syndrome was ruled out. A computed tomography (CT) pulmonary angiogram revealed an ovoid encapsulated fatty mass surrounded by dense appearing tissue. Patient symptoms improved remarkably with a short course of non-steroidal anti-inflammatory drugs (NSAIDs). Discussion: EFN typically presents with a sudden onset of excruciating chest pain. Misdiagnosis, under-diagnosis, and mismanagement are unavoidable. EFN is incidentally diagnosed on CT scan. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects visceral adipose tissue and appears to increase the risk of EFN by promoting inflammatory cytokine production and death of adipocytes. Conclusion: EFN is a rare cause of acute chest pain. SARS-CoV-2 is likely to induce EFN. This rare clinical entity should be considered in the differential of acute chest pain especially in patients with active or recent COVID-19. LEARNING POINTS: Epipericardial fat necrosis (EFN) is a rare cause of acute pleuritic chest pain that is often misdiagnosed and mismanaged.SARS-CoV-2 can possibly increase the risk of EFN and this entity should be considered in the differential of chest pain, especially in patients with active or recent coronavirus disease (COVID-19).Clinician awareness of EFN and its potential association with COVID-19, can reduce unnecessary testing and emotional distress.

Association of Wilms Tumor with Crossed Fused Renal Ectopia in Children: A Case Report.

Introduction: Wilms tumor is the most common renal malignancy in children. The occurrence of Wilms tumor with various congenital genitourinary anomalies has been reported, particularly in horseshoe kidneys, hypospadias, disorder of sexual development, and double collecting system. However, Wilms tumor with crossed renal ectopia is a rare finding. Case Description: We are reporting a case report of Wilms tumor in a 3-year-old girl who presented with a huge left flank mass with cross-fused renal ectopia. After the initial workup and triphasic computed tomography scan of the chest, abdomen, and pelvis for confirmation of diagnosis and metastasis, the patient underwent image-guided tissue biopsy, followed by neoadjuvant chemotherapy, left radical nephrectomy with separation of fused right ectopic renal moiety, and adjuvant chemoradiation. Practical Implication: This report shows an association of Wilms tumor with cross-fused renal ectopia, a rare combination. Unusual findings on imaging with unilateral flank mass should be considered as part of the differential diagnosis for this rare finding. Adjuvant chemotherapy and modern imaging helped delineate the anatomy and ease the surgery for safe resection, improving the overall outcome.

Emergency Angioembolization for Life-Threatening Hemorrhage in Wilms Tumor.

Introduction: Renal artery embolization has been used in a palliative fashion for symptomatic relief of hematuria or flank pain in unresectable renal cell carcinoma in adults. There is limited data on the use of embolization for actively bleeding and unresectable tumors in the oncological pediatric population. Case Description: A previously healthy 5-year-old boy with no significant past medical or surgical history presented to the clinic with gradually worsening abdominal distension associated with occasional abdominal pain, gross hematuria, and lethargy for four months. Diagnostic investigations showed an 18-cm left-sided metastatic (pulmonary) renal tumor (Wilms), which was deemed unresectable on imaging. Treatment was planned according to the SIOP-RTSG protocol. However, he became hemodynamically and vitally unstable with acute, sudden distension of the abdomen on the left side after the first cycle of chemotherapy. Imaging showed active bleeding from an inferior branch of the left renal artery. Selective angioembolization was done, and chemotherapy was reinitiated with a patent left main renal artery. Following the fourth cycle of chemotherapy, he developed hemodynamic instability and abdominal pain; imaging revealed the resolution of pulmonary nodules and bleeding from the left renal artery (main); this was again embolized, and the patient was stabilized. The patient was operated on after optimization, and a complete resection of the mass was done with negative margins. On six months follow-up, he is well. Practical Implications: To the best of our knowledge, this is the first case where angioembolization has been done in conjunction with neoadjuvant chemotherapy to downsize a Wilms tumor to achieve favorable outcomes. Continued research efforts are necessary to optimize strategies and improve the prognosis for pediatric patients, and this case is one of the prime examples.

Management of Complications after Levator Resection for Ptosis.

OBJECTIVE: To analyse the complications after external levator resection (ELR) for ptosis, and their management. STUDY DESIGN: Observational Study. Place and Duration of the Study: Mughal Eye Hospital Trust, Lahore, from June 2018 to December 2022. METHODOLOGY: A total of 256 eyes were operated for ptosis cases having good levator function who were treated by ELR. The exclusion criteria was any history of operation of lids or orbits or poor levator function, Marcus Gunn jaw-winking phenomenon, and neurogenic ptosis. The frequency of complications and their management was documented. RESULTS: Age ranged from 6 to 65 years. The follow-up ranged from 8 weeks to 3 years. Eleven (4.3%) cases developed complications. Two cases had mild undercorrection and did not require any treatment. In moderate overcorrection encountered in one eye, pulling the lid down for a few times daily improved lid level in four weeks. Four eyes had severe overcorrection, 2 patients required one operation and the other two patients required two operations each. These included hang-back sutures in two eyes (with 5/O Ethibond in one eye and 6/O Vicryl sutures in another eye) and simple incision in the levator (disinserting it partially from the tarsal plate) in two eyes. Lagophthalmos in two eyes improved with conservative treatment. Notching in two eyes improved with partial disinsertion of levator by cutting one Vicryl suture attaching levator to the tarsal plate and leaving 2 Vicryl sutures connecting levator to the tarsal plate. CONCLUSION: Ptosis correction by ELR is a low-complication procedure with good corrective results. KEY WORDS: Ptosis, Good levator function, Overcorrection after ptosis operation, Hang-back sutures, Partial levator disinsertion.

Efficacy and safety of itopride SR for upper gastrointestinal symptoms in patients with diabetic gastroparesis: real-world evidence from Pakistan.

Background: Gastroparesis is a serious condition that can be caused by diabetes, surgery or infection, or can be idiopathic. When there is no mechanical obstruction, gastroparesis is characterized by delayed stomach emptying. Itopride, a prokinetic drug, inhibits acetylcholinesterase activity in addition to antagonizing dopamine D2 receptors. Methods: This prospective, multicentre study is based on real-world data from 988 patients with a diagnosis of diabetic gastroparesis for index (PAGI-SYM2) evaluation at baseline and week 4 of treatment for upper gastrointestinal disorder symptoms. Results: Upper gastrointestinal symptom severity scores improved significantly after 4 weeks of treatment (p<0.001), with significant improvement across all categories of gastroparesis (very mild (37-58.6%), mild degree (24.6-31.6%), moderate (29.3-7.3%) and severe (8.8-2.6%). Conclusion: Itopride SR (Nogerd SR) in a 150 mg once-daily dose showed promising results in reducing the severity of upper gastrointestinal disorder symptoms associated with diabetic gastroparesis. Both statistical and clinical effectiveness were observed. Moreover, the treatment demonstrated a favourable tolerability profile, with a low incidence of adverse effects.

An engineered thermally tolerant apo-cytochrome scaffold for metal-less incorporation of heme derivative.

Cytochrome c552 from Thermus thermophilus is one of the hot topics for creating smart biomaterials as it possesses remarkable stability, is tolerant to multiple mutations and has therefore been recently reported for a number of functionalizations upon substitution of the original prosthetic group with an artificial prosthetic group. However, all of the substitutions were driven by the coordination through the axial ligands followed by complete reconstitution with a metal-porphyrin complex. This limits the scope of the cytochrome c for incorporating a metal-less non-natural heme species that could improve the versatility of cytochrome c for a new generation of engineered cytochrome proteins for further enhancement in their functionalities such as biocatalysts. In this connection, a new variant of Cytochrome c (rC552 C14A) from Thermus thermophilus was reported, where an easy approach to remove the original prosthetic group was achieved, followed by the incorporation of a number of metal-PPIX derivatives that ultimately led to the formation of artificial c-type cytochromes through covalent bonding. The apo-cytochrome was found to be thermally tolerant and to possess a distinctive overall structure as that of the wild type, as was evident from the corresponding CD spectra, which ultimately encouraged reconstitution with a metal-less protoporphyrin derivative for better understanding the role of axial ligands in the reconstitution process. Successful reconstitution was achieved, resulting in a new type of Cytochrome b-type artificial protein without the metal in its active site, indicating the non-involvement of the axial ligand. In order to prove the non-involvement of the axial ligand, a subsequent double mutant (C14A/M69A) was constructed, replacing the methionine at 69 position with non-coordinating alanine residue. Accordingly, the apo-C14A/M69A was prepared and found to be extremely stable as the earlier mutants and the WT showed no signs of denaturation, even at the elevated temperature of 98°C. Subsequently, heme b was successfully incorporated into the apo-C14A/M69A, which demonstrated itself as a highly thermally tolerant protein scaffold for incorporating a metal-less artificial prosthetic group in the absence of the axial ligand. Further improvement in the reconstitution process is achieved by replacing the methionine at 69 position with phenyl alanine (C14A/M69F mutant), resulting in further stabilization of heme species, possibly through non-covalent π-interactions, as corroborated by molecular docking.

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.

Development and Experiment of an Innovative Row-Controlled Device for Residual Film Collector to Drive Autonomously along the Ridge.

The field harvesting process of harvesting machinery is often affected by high workload and environmental factors that can impede/delay manual rowing, thereby leading to lower efficiency and quality in the residual film collector. To address this challenge, an automatic rowing control system using the 4mz-220d self-propelled residual film collector as the experimental carrier was proposed in this study. Cotton stalks in the ridges were chosen as the research object, and a comprehensive application of key technologies, machinery, and electronic control was used, thereby incorporating a pure tracking model as the path-tracking control method. To achieve the automatic rowing function during the field traveling process, the fuzzy control principle was implemented to adjust the forward distance within the pure tracking model dynamically, and the expected steering angle of the steering wheel was determined based on the kinematic model of the recovery machine. The MATLAB/Simulink software was utilized to simulate and analyze the proposed model, thus achieving significant improvements in the automation level of the residual film collector. The field harvesting tests showed that the average deviation of the manual rowing was 0.144 m, while the average deviation of the automatic rowing was 0.066 m. Moreover, the average lateral deviation of the automatic rowing was reduced by 0.078 m with a probability of deviation within 0.1 m of 95.71%. The research study demonstrated that the designed automatic rowing system exhibited high stability and robustness, thereby meeting the requirements of the autonomous rowing operations of residual film collectors. The results of this study can serve as a reference for future research on autonomous navigation technology in agriculture.