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The banking industry has been criticized for its role in contributing to climate change, whether directly or indirectly. In response to these concerns, the “green banking” concept has emerged as a proactive approach to mitigating banks’ environmental impact. However, there is still limited research on adopting green banking from customers’ perspectives in developing countries, notably Pakistan. Therefore, this research is aimed at exploring and examining the factors influencing customers’ intention to adopt green banking and their usage behavior by employing the unified theory of acceptance and use of technology (UTAUT). The UTAUT model was integrated with customers’ environmental responsibility and environmental concerns to identify the primary drivers of green banking proliferation. The research was carried out in Lahore, Pakistan, and involved 280 customers from private banks, and a convenience sampling technique was employed to gather data. The empirical findings have revealed that facilitating conditions and performance expectancy are the primary drivers of green banking proliferation, followed by environmental responsibility and environmental concerns. The study has discovered that behavioral intention plays a significant mediating role in the relationship between performance expectancy, effort expectancy, social influence, facilitating conditions, environmental responsibility, environmental concerns, and green banking usage behavior. The banking professionals should consider these factors when formulating and advancing green banking products or services and strategies to encourage the widespread adoption of green banking in conventional markets, fostering hope for a more sustainable future. The study provides new insights into customers’ inclination to adopt green banking and their subsequent usage behavior. This research will help to shape future studies in this particular field.

ABSTRACT Automating mineral delineation and rock type analysis using remote sensing imaging data is a critical application of machine learning. Traditional machine learning methods often struggle with accuracy and precise map generation. This study aims to enhance performance through a refined deep learning model. In this work, we present a deep learning pipeline to map the mineral deposits in the study area. Initially, we apply a deep convolutional neural network (CNN) to a specialized mineral dataset to map mineral deposits within the study area. Subsequently, we build a hybrid model combining deep CNN layers with a support vector machine (SVM). This merger significantly improves classification accuracy from an initial 92.7% to 95.3%. In our approach, CNN layers function as feature extractors while the SVM serves as the classification model. Moreover, we conduct an evaluation of the SVM using polynomial kernels of degrees 3, 6, 9, and 12. The results indicate that the SVM with a degree of 12 achieved the highest classification accuracy, followed by degrees 9, 6, and 3. Experimental results demonstrate the effectiveness of our proposed method for classifying remote sensing imaging data, showcasing its potential for advancing mineral delineation and rock type analysis.

ABSTRACT Background and Aim Lubiprostone increases chloride and water secretion in the intestines, and several studies have demonstrated the efficacy of lubiprostone in treating functional constipation. Several new clinical trials have emerged since the previous meta‐analysis conducted in 2020. We conducted this updated meta‐analysis to assess clinical efficacy of lubiprostone in these patients. Methods A systematic search was conducted on MEDLINE, Cochrane, and Scopus. Randomized controlled trials published between July 2019 and June 2024 were selected. Cochrane's RoB 2 tool was used to assess the risk of bias. A meta‐analysis was performed and findings were presented using forest plots. Results A total of 14 studies, comprising 4550 patients, were included in the review. Only 12 studies were pooled in the meta‐analysis. Lubiprostone was associated with greater spontaneous bowel movements (SBM) per week (RR 1.454, 95% CI 1.193–1.771) and SBM within 24 h (RR 1.790, 95% CI 1.491–2.150) in patients with chronic idiopathic constipation (CIC). However, it was not associated with abdominal pain in either arm (RR 1.415, 95% CI 0.873–2.294). In opioid‐induced constipation (OIC), lubiprostone increased SBM within 24 h (RR 1.277, 95% CI 1.105–1.475) but did not significantly affect abdominal pain (RR 4.321, 95% CI 0.624–29.941). Lubiprostone improved all selected SBM‐related and abdominal pain outcomes in patients with irritable bowel syndrome with constipation (IBS‐C). Conclusion Lubiprostone significantly improves all SBM‐related outcomes. Owing to its good safety and efficacy profile, lubiprostone can be used in the combination regimens for management of CIC, IBS‐C, and OIC.

ABSTRACT Grimontia hollisae, an uncommon cause of sepsis, was identified in a 9‐month‐old infant in Africa without confirmed seafood consumption. Prompt diagnosis through blood culture and targeted antibiotic therapy ensured recovery, emphasizing the need for increased awareness, enhanced diagnostic tools, and active monitoring of emerging pathogens in tropical and resource‐limited regions. We present a case report involving a 9‐month‐old infant who exhibited symptoms of acute gastroenteritis. The blood culture revealed G. hollisae . We treated the infant on empirical first‐line antibiotics of IV ceftriaxone, IV gentamicin, zinc tablets, and syrup paracetamol for 5 days after which the child was discharged on oral metronidazole following resolution of symptoms. This case highlights the importance of G. hollisae in causing sepsis in infants in tropical settings. It also emphasizes the need for blood culture investigation and administering the appropriate antibiotics in the diagnosis of children presenting with suspected sepsis.

Abstract Hylocereus undatus, occasionally referred to as the dragon fruit or white‐fleshed pitaya, is a rich in nutrients fruit appreciated because of its colorful look and health benefits. It is inexpensive in calories but packed with minerals like iron, magnesium, and calcium in addition to essential nutrients like vitamin C and B vitamins. Similarly rich in dietary fiber, particularly promotes gut wellness and improves digestion, is pitaya. It additionally contains antioxidants, such as phenolic compounds, flavonoids, and betalains, which help with scavenging free radicals and reducing the detrimental effects of oxidative stress on the human body. The substantial amount of betalains in Hylocereus undatus phytochemical composition is notable because it contributes to the plant's anti‐inflammatory and antioxidant properties. There has been an association among these phytochemicals and a decreased likelihood of contracting long‐term conditions such as diabetes, cancer, and cardiovascular disease. Omega‐3 fatty acids and omega‐6 fatty acids, in particular, that reduce cholesterol levels while improving blood circulation, are plentiful in the fruit's seeds and are beneficial to heart wellness. The objective of this review is to highlight the nutritional profile, phytochemical and health benefits of Hylocereus undatus in detail.

Abstract Since two‐dimensionalal (2D) materials have distinct chemical and physical properties, they are widely used in various sectors of modern technologies. In the domain of diagnostic biodevices, particularly for point‐of‐care (PoC) biomedical diagnostics, 2D‐based field‐effect transistor biosensors (bio‐FETs) demonstrate substantial potential. Here, in this review article, the operational mechanisms and detection capabilities of biosensing devices utilizing graphene, transition metal dichalcogenides (TMDCs), black phosphorus, and other 2D materials are addressed in detail. The incorporation of these materials into FET‐based biosensors offers significant advantages, including low detection limits (LOD), real‐time monitoring, label‐free diagnosis, and exceptional selectivity. The review also highlights the diverse applications of these biosensors, ranging from conventional to wearable devices, underscoring the versatility of 2D material‐based FET devices. Additionally, the review provides a comprehensive assessment of the limitations and challenges faced by these devices, along with insights into future prospects and advancements. Notably, a detailed comparison of FET‐based biosensors is tabulated along with various other biosensing platforms and their working mechanisms. Ultimately, this review aims to stimulate further research and innovation in this field while educating the scientific community about the latest advancements in 2D materials‐based biosensors.

Abstract The Gulf of Carpentaria and Torres Strait in north‐eastern Australia support globally significant seagrass ecosystems that underpin fishing and cultural heritage of the region. Reliable data on seagrass distribution are critical to understanding how these ecosystems are changing, while managing for resilience. Spatial data on seagrass have been collected since the early 1980s, but the early data were poorly curated. Some was not publicly available, and some already lost. We validated and synthesized historical seagrass spatial data to create a publicly available database. We include a site layer of 48,612 geolocated data points including information on seagrass presence/absence, sediment, collection date, and data custodian. We include a polygon layer with 641 individual seagrass meadows. Thirteen seagrass species are identified in depths ranging from intertidal to 38 m below mean sea level. Our synthesis includes scientific survey data from 1983 to 2022 and provides an important evidence base for marine resource management.

Key Clinical Message Ochrobactrum anthropi (O. anthropi), a rare opportunistic pathogen, caused sepsis in a malnourished 15‐month‐old African child. Early detection and appropriate antibiotics led to full recovery, highlighting the importance of robust surveillance for emerging pathogens in vulnerable populations. Abstract While rarely causing infections, O. anthropi, a non‐fermenting, obligately aerobic, flagellated gram‐negative bacillus, demonstrates oxidase positivity and indole negativity. Traditionally, Ochrobactrum spp is considered a low threat due to its environmental abundance and mild virulence. It is, however, a multidrug‐resistant bacteria known for causing opportunistic infections in humans. O. anthropi is typically associated with catheter‐related bloodstream infections. The first documented case was in 1998; most cases have been reported in developed countries. We present a case of O. anthropi sepsis in a malnourished child in sub‐Saharan Africa. We report a case involving a 15‐month‐old African female who presented with symptoms and signs of protein‐energy malnutrition and sepsis. The blood culture revealed O.anthropi. We treated the child with the empirical first‐line antibiotics per the national guidelines, intravenous ampicillin and gentamicin for a week, and the child fully recovered. This report describes a rare case of O. anthropi sepsis with malnutrition in an African female child. O. anthropi is an emerging pathogen causing opportunistic infections in both immunocompetent and immunocompromised patients. We report that early bacterial detection, appropriate antibiotic susceptibility and antimicrobial management based on local antibiogram data may be essential for excellent patient outcomes. Additionally, we recommend more robust surveillance to detect such rare emerging pathogens.

Evidence from medicine and other fields has shown that gender diversity results in better decision making and outcomes. The incoming workforce of congenital heart specialists (especially in pediatric cardiology) appears to be more gender balanced, but past studies have shown many inequities. Gender‐associated differences in leadership positions, opportunities presented for academic advancement, and recognition for academic contributions to the field persist. In addition, compensation packages remain disparate if evaluated based on gender with equivalent experience and expertise. This review explores these inequities and has suggested individual and institutional changes that could be made to recruit and retain women, monitor the climate of the institution, and identify and eliminate bias in areas like salary and promotions.

Abstract Introduction Health information technology (HIT) has the potential to improve healthcare delivery and engagement. Studying racial‐ethnic disparities in HIT engagement will help understand and overcome challenges to healthcare utilization. Methods We undertook a patient‐reported survey among patients with lymphoid malignancies at two campuses of Mayo Clinic, Florida to explore HIT‐related disparities. Variables between Whites and non‐Whites, and non‐Whites from the two campuses were compared. Results The survey was completed by 1004 respondents, with 71% whites, 27% non‐Whites (race‐ethnicity not reported by 2%). Non‐Whites included 30% responders at the main campus and 64% at an inner‐city campus. Whites were significantly older and had higher education, while non‐Whites had lesser access to a computer. Only 51% of non‐Whites were registered to use electronic medical records (EMR) as compared to 72% Whites (p

Abstract Hafnium carbide (HfC) is an ultrahigh‐temperature ceramic with high melting point, chemical stability, hardness, and wear resistance. However, its low fracture toughness and poor thermal shock resistance limit its structural applications in extreme environments. In this study, co‐curing of liquid precursors was carried out prior to complete pyrolysis of individual polymeric precursors. First, HfC preceramic polymer precursor was cured, followed by silicon carbonitride (SiCN) precursor curing on a 2D carbon fiber (CF) cloth using the drop‐coating process. The infiltrated CFs were pyrolyzed at 800°C to achieve CF/HfC‐SiCN ceramic mini‐composites. The cross‐linked precursor‐to‐ceramic yield was observed to be as high as 65% when the procedure was carried out in an inert environment. Although stable up to 1200°C, CF/HfC‐SiCN samples demonstrated susceptibility to oxidation at 1500°C in ambient air. The oxidation of HfC in the presence of SiC leads to the formation of a hafnium‐containing silicate (HfxSiyOz) along with hafnia (HfO2). This compound of silicate and hafnia limits oxygen diffusion better than SiO2 and HfO2 individually. The incorporation of SiCN in HfC ceramic led to improved phase stability compared to a neat HfC system. The results of this study also show that the use of liquid‐phase precursors for HfC and SiCN in the polymer‐infiltrated pyrolysis method is a promising approach to fabricating high‐temperature structural ceramic matrix composites with good oxidation resistance.

In this work, we construct a new model of compact stars in the presence of anisotropic matter in the Rastall theory of gravity. For this, we considered the anisotropic matter content when formulating the Rastall field equations. Secondly, the Tolman–Oppenheimer–Volkoff (TOV) equation in the context of Rastall theory is formulated. We apply the Finch–Skea ansatz in the static and spherically symmetric geometry to obtain the analytic solution of the derived field equations in the Rastall theory of gravity. We match the internal solution to the corresponding external Schwarzschild space-time in order to determine the values of the unknown constants involved in the Rastall field equations due to the Finch–Skea ansatz. The resulting model is applied to a few prominent compact stars in order to verify its physical viability. Energy conditions, the TOV equation, stability analysis via sound speeds (radial and transverse in this case), equation of state parameters, mass function, compactness, and surface redshift are some of the analytical expressions that are examined in this inquiry. In order to verify the physical acceptance of the obtained results, we provided a graphical analysis of some necessary analytical expressions. Also, the numerical values of some physical parameters are calculated and are presented in the tabular form to observe the Buchdahl limit and some other important criterion. We note that our model is well consistent with the physical requirements.

Polymethyl methacrylate (PMMA) has garnered significant attention in the field of dentistry due to its wide applications. This paper proposes the incorporation of the nystatin coated copper oxide (CuO) particles having desirable conductivity and antifungal properties, as a filler in the PMMA denture to address their low thermal conductivity, low impact strength, low fatigue resistance, and microbial adhesion. The prepared nystatin coated CuO particles were characterized with several analytical techniques. The nystatin coated CuO particles were mixed in different ratios (0%, 1%, 2%, and 4%) in PMMA corresponding to groups C, E1, E2, and E3, respectively. The prepared samples of composite PMMA with nystatin coated CuO were evaluated to determine their transverse strength, impact strength, Vickers hardness (HV), and thermal conductivity. Furthermore, antifungal properties of CuO particles, nystatin coated CuO particles, and their acrylic composites were evaluated against Candida albicans. Scanning electron microscopy (SEM) analysis confirmed the particles’ spherical and irregular shapes. The particle sizes range from nano to micron level. Fourier-transform infrared spectroscopy (FTIR) and energy dispersive X-ray spectroscopy (EDX) analysis confirmed the coating of nystatin on CuO. X-ray diffraction (XRD) analysis showed the diffraction patterns and planes of CuO monoclinic shape structure. The composite prepared to have higher values of HV (19.53 ± 0.65, 20.16 ± 0.37, and 21.11 ± 0.75, respectively) as compared to the control. The impact strength values were measured high at 14.12 ± 5.55 kJ/m2 for 2% containing nystatin coated CuO acrylic resins compared to control and other groups. The conductivity increased linearly with the addition of CuO particles. The addition of CuO particles causes a reduction in flexural strength as compared to the control group. As the concentration of nystatin coated CuO (1%, 2%, and 4%) in acrylic samples increased, the antifungal properties were improved. Thus, the incorporation of optimized concentrations of nystatin coated CuO particles in acrylic resin resulted in the improved mechanical, thermal, and antifungal properties.

The extended conformable k-hypergeometric function finds various applications in physics due to its ability to describe complex mathematical relationships arising in different physical scenarios. Here are a few instances of its uses in physics, including nuclear physics, fluid dynamics, quantum mechanics, and astronomy. The main objectives of this paper are to introduce the extended conformable k-hypergeometric and confluent hypergeometric functions by utilizing the new definition of the α,k-beta function and studying its important properties, like integral representation, summation formula, derivative formula, transform formula, and generating function. Also, introduce the extension of the Riemann–Liouville fractional derivative and establish some results related to the newly defined fractional operator, such as the Mellin transform and relations to extended α,k-hypergeometric functions.

Abstract Barium doping effect on the activity and stability of nickel‐based catalysts, supported on yttria‐stabilized zirconia (Ni‐YZr), was investigated in dry reforming of methane. Catalysts were characterized by several techniques (nitrogen sorption, X‐ray diffraction [XRD], scanning electron microscopy with energy dispersive X‐ray, transmission electron microscopy [TEM], thermogravimetric analysis [TGA], temperature programmed oxidation, CO2‐TPD, H2‐TPR) and were tested in a fixed‐bed reactor at 800°C and 42,000 mL/h gcat. Barium played a crucial role in enhancing catalyst reducibility and CO2 adsorption at high temperatures, as indicated by the activity and stability of the Ni‐YZr catalyst. The addition of 4.0 wt% of barium appeared to be the optimal loading, allowing for CH4 conversion of 82%, which remained constant for 7 h of reaction, compared with 72% of barium‐unpromoted Ni‐YZr at 800°C. TEM images of the spent catalysts revealed the formation of multiwalled carbon nanotubes on all samples. The TGA analysis showed, however, that an increase in baria loading significantly reduced the coke formation amount, indicating the inhibition of coke formation and the enhancement of the catalytic activity. Such improvement in activity and stability was attributed to the incorporation of barium into YZr support, as revealed by XRD analysis, which inhibited the sintering of the catalysts support.

Abstract The exclusive features of two‐dimensional (2D) semiconductors, such as high surface‐to‐volume ratios, tunable electronic properties, and biocompatibility, provide promising opportunities for developing highly sensitive biosensors. However, developing practical biosensors that can promptly detect low concentrations of target analytes remains a challenging task. Here, a field‐effect‐transistor comprising n‐type transition metal dichalcogenide tin disulfide (SnS2) is developed over the hexagonal boron nitride (h‐BN) for the detection of streptavidin protein (Strep.) as a target analyte. A self‐designed receptor based on the pyrene‐lysine conjugated with biotin (PLCB) is utilized to maintain the sensitivity of the SnS2/h‐BN FET because of the π–π stacking. The detection capabilities of SnS2/h‐BN FET are investigated using both Raman spectroscopy and electrical characterizations. The real‐time electrical measurements exhibit that the SnS2/h‐BN FET is capable of detecting streptavidin at a remarkably low concentration of 0.5 pm, within 13.2 s. Additionally, the selectivity of the device is investigated by measuring its response against a Cow‐like serum egg white protein (BSA), having a comparative molecular weight to that of the streptavidin. These results indicate a high sensitivity and rapid response of SnS2/h‐BN biosensor against the selective proteins, which can have significant implications in several fields including point‐of‐care diagnostics, drug discovery, and environmental monitoring.

Introduction Heparin‐induced thrombocytopenia (HIT) is a rare complication characterized by a decreased platelet count and hypercoagulability following heparin and light‐molecular weight heparin administration. Both anticoagulants can be used intraoperatively and postoperatively for DVT prophylaxis in patients undergoing subarachnoid hemorrhage (SAH) treatment. Patients with SAH are an understudied population in terms of assessing incidence and impact of HIT. This study aims to investigate the incidence, complications, and outcomes of SAH patients who develop HIT. Methods ICD‐9‐CM and ICD‐10‐CM codes were used to query the National Inpatient Sample for patients with SAH between 2010 and 2019. Subgroup analysis was stratified by HIT development. SAH severity was determined using the National Institute of Health Stroke Scale as a template. Patients from both groups were assessed for baseline clinical characteristics, comorbidities, interventions, complications, and outcomes. Cohorts containing ten or fewer patients must only be described qualitatively. Descriptive statistics, multivariate regressions, and propensity score‐matching were all performed using IBM SPSS 28. Results 76,387 patients were diagnosed with SAH between 2010 and 2019. 166 (.22%) had developed HIT in response to anticoagulant administration. The incidence of HIT was higher in patients who were younger (58.04 vs 61.39, p = 0.01), obese (0.4% vs 0.2%, p < 0.01), on long‐term anticoagulant use (10.84% vs 5.72%, p < 0.01), and had an implanted cerebrospinal fluid drainage device (p < 0.01). Patients with HIT were associated with higher SAH severity (1.42 vs 1.06, p < 0.01). Through both the complete cohort and propensity score‐matched cohort, patients with HIT were associated with higher rates of endovascular coiling, external ventricular drain placement (p < 0.01), and ventriculoperitoneal shunt placement (p < 0.01). HIT patients had significantly higher rates of deep vein thrombosis (p < 0.01), pulmonary embolism (p < 0.01), central venous sinus thrombosis (p = 0.01), pneumonia (p < 0.01), urinary tract infection (p < 0.01), acute kidney injury (p < 0.01), and cerebral vasospasm (p < 0.01). Patients who develop HIT had a longer length of stay (LOS) (24.04 vs 10.48, p < 0.01). HIT continued to be a significant predictor of having an above average LOS (OR: 6.799, CI: 3.985 ‐ 11.6, p < 0.01) when controlling for age, SAH severity, and significant comorbidities. Conclusion Our study revealed that younger SAH patients with various comorbidities are more prone to developing HIT, leading to higher rates of thrombotic events, acute kidney injury, and nosocomial infections, which can significantly prolong their hospital stay. Considering the extended postoperative recovery period for SAH, investigating the causes of HIT can facilitate earlier detection and prevention of thrombotic complications. This nationwide, multicenter, retrospective study provides valuable insights for clinicians on how to prevent and manage HIT in patients with subarachnoid hemorrhage.

Abstract Aims Lower socio‐economic status may delay and even prevent the application of guideline‐directed heart failure (HF) therapy for most patients. This study aims to evaluate the feasibility and possible difficulties facing the application of this treatment during the current Syrian conflict. Methods and results A questionnaire on HF management and feasibility of recommended HF therapy was addressed to physicians practising cardiology in Syria. The questionnaire consisted of 30 questions and focused on the quality of HF management and awareness of recommended drug and device therapy for HF among physicians practising cardiology in Syria. A total of 228 physicians participated in the survey. Awareness of recommended medical and device therapy of HF was very high among participants (98% and 95%, respectively). The majority of participants (>75%) believe that more than half of HF patients do not receive optimal medical HF therapy. Ninety per cent of participants believe that

Abstract The infrastructure of health and biomedical facilities caters to a variety of purposes that frequently vary over time, flexibility and adaptability are crucial traits for future re‐configuration. This paper chooses the relevant cement‐based solid metal structures fire‐retardant coatings available on the market as the test object and performs high‐cycle fatigue stress experiments on steel structural elements painted with cement‐based thick steel structure fire‐retardant varnishes. It simulates the deformation of the steel structure under the daily variable load of high‐rise steel structure buildings, investigates the cracking and adhesion properties of the fireproof coating on the surface of the steel component under the repeated action of this load, and evaluates the service life of the fireproof coating for the steel structure under normal use conditions. When the best dosage of modified epoxy resin E51 is 10%, the best ratio of emulsifier is m(SDS): m(OP‐10 = 2:1, the best dosage is 1.25% of the monomer quality, and the best dosage of G04 is 3% of the monomer mass, and the particle size distribution of the latex particles is concentrated. The average particle size of the emulsion is 138.3 nm, and the hardness and water resistance of the paint film are the best.

Abstract Primary intrapulmonary thymoma (PIT), defined as the presence of thymoma tissue in the lung without an accompanying mediastinal component, is uncommon and so offers a diagnostic quandary. We describe the case of PIT in an 81‐year‐old man.

Abstract Background Five variants of concern (VOCs) of severe acute respiratory syndrome coronavirus 2 (SARS CoV‐2) have been globally recorded including Alpha, Beta, Gamma, Delta, and Omicron. The Omicron variant has outcompeted the other variants including the Delta variant. Molecular screenings of VOCs are important for surveillance, treatment, and vaccination programs. This study aimed to identify VOCs by using rapid inexpensive methods and partial sequencing of the virus's spike gene. Methods Mutation‐specific rRT PCR probes were used for both D614G and K417N mutations to potentially discriminate between Delta and Omicron variants. These were followed by sequencing of a fragment of spike gene (748 nucleotides), which covers the most notable VOC mutations in the receptor binding domain of SARS CoV‐2. Results Rapid methods showed that out of 24 SARS CoV‐2 positive samples, 19 carried the N417 mutation, which is present in the Omicron variant. Furthermore, 3 samples carried K417 wildtype, which is present in the Delta variant. Additionally, 2 samples containing both K417 and N417 suggested mixed infections between the two variants. The D614G mutation was present in all samples. Among the 4 samples sequenced, 3 samples carried 13 mutations, which are present in Omicron BA.1. The fourth sample contained the two common mutations (T478K and L452R) present in Delta, in addition to two more rare mutations (F456L and F490S), which are not commonly seen in Delta. Our data suggested that both Omicron variant BA.1 and a novel Delta variant might have circulated in this region that needs further investigations.

Abstract Van der Waals (vdW) heterostructures composed of atomically thin two‐dimensional (2D) materials have more potential than conventional metal‐oxide semiconductors because of their tunable bandgaps, and sensitivities. The remarkable features of these amazing vdW heterostructures are leading to multi‐functional logic devices, atomically thin photodetectors, and negative differential resistance (NDR) Esaki diodes. Here, an atomically thin vdW stacking composed of p‐type black arsenic (b‐As) and n‐type tin disulfide (n‐SnS2) to build a type‐III (broken gap) heterojunction is introduced, leading to a negative differential resistance device. Charge transport through the NDR device is investigated under electrostatic gating to achieve a high peak‐to‐valley current ratio (PVCR), which improved from 2.8 to 4.6 when the temperature is lowered from 300 to 100 K. At various applied‐biasing voltages, all conceivable tunneling mechanisms that regulate charge transport are elucidated. Furthermore, the real‐time response of the NDR device is investigated at various streptavidin concentrations down to 1 pm, operating at a low biasing voltage. Such applications of NDR devices may lead to the development of cutting‐edge electrical devices operating at low power that may be employed as biosensors to detect a variety of target DNA (e.g., ct‐DNA) and protein (e.g., the spike protein associated with COVID‐19).

Abstract The main purpose of this paper is to improve the resilience of data center cooling system and reduce the energy consumption in data center by using the Tilted Active Tile (TATs). We deploy multiple TATs in cold aisle environment then analyze the thermal performance of racks. TATs also help to improve the reliability in case of cooling failure by increased ride through time. We observed an extended ride‐through time for data centers deployed with Tilted Active Tiles (TATs) when the CRAC blower failed. Proposed approach can maintain cooling system temperature for up to 10 minutes. We also introduced ANN based thermal models to predict the thermal performance of TATs, To train the ANN models, we collect the rack inlet and CRAC outlet temperature from Data Center. We also fixed blank panel in empty U part of racks and then analyzed that the thermal performance of racks are better and temperature distribution at bottom, middle and top of the rack were same under 30°angle. The airflow of TATs and passive tile influence on surrounding racks. That’s why we analyzed the disturbance of TATs on surrounding rack and observed that the TATs at 30°angle has positiveimpact on the surrounding racks.

Abstract COVID‐19 is a major, urgent, and ongoing threat to global health. Globally more than 24 million have been infected and the disease has claimed more than a million lives as of November 2020. Predicting which patients will need respiratory support is important to guiding individual patient treatment and also to ensuring sufficient resources are available. The ability of six common Early Warning Scores (EWS) to identify respiratory deterioration defined as the need for advanced respiratory support (high‐flow nasal oxygen, continuous positive airways pressure, non‐invasive ventilation, intubation) within a prediction window of 24 h is evaluated. It is shown that these scores perform sub‐optimally at this specific task. Therefore, an alternative EWS based on the Gradient Boosting Trees (GBT) algorithm is developed that is able to predict deterioration within the next 24 h with high AUROC 94% and an accuracy, sensitivity, and specificity of 70%, 96%, 70%, respectively. The GBT model outperformed the best EWS (LDTEWS:NEWS), increasing the AUROC by 14%. Our GBT model makes the prediction based on the current and baseline measures of routinely available vital signs and blood tests.

Abstract The Great Barrier Reef World Heritage Area in Queensland, Australia contains globally significant seagrasses supporting key ecosystem services, including habitat and food for threatened populations of dugong and turtle. We compiled 35 years of data in a spatial database, including 81,387 data points with georeferenced seagrass and species presence/absence, depth, dominant sediment type, and collection date. We include data collected under commercial contract that have not been publicly available. Twelve seagrass species were recorded. The deepest seagrass was found at 76 m. Seagrass meadows are at risk from anthropogenic, climate and weather processes. Our database is a valuable resource that provides coastal managers and the global marine community with a long‐term spatial resource describing seagrass populations from the mid‐1980s against which to benchmark change. We address the data issues involved in hindcasting over 30 years to ensure confidence in the accuracy and reliability of data included.

Abstract This research performed a techno‐economic analysis of diesel‐biogas hybrid microgrid system. The paper modeled, designed, and simulated the microgrid system using MATLAB/SIMULINK and performed system optimization using HOMER software. The anaerobic digestion (AD) processes were designed and simulated with the aid of Simulink to obtain the methane yield from the reactor. Results show that the methane yield is 95.04 kg/day at a reactor temperature of 55°C. The synchronous generator was modeled and simulated for the application of both diesel fuel and biogas fuel system. The HOMER software was used to optimize the hybrid micro‐grid system with the diesel system taken as the base case. Biogas production was varied between 1 and 5 tons while the calculated energy demand of the village was 271925 kWh. At a biomass production of 4 tons and above, the hybrid system became powered by only the biogas system for total energy production. The energy produced by biogas is 452820 kWh and a cost of energy (COE) of $0.0484. The net present cost (NPC) of the base case system is $1141292 while that of the hybrid system is $176600 and that of the biogas system is $170085 which shows the saving cost of 84.5% and 85.1%, respectively, compared to the base case system over the project lifetime.

Abstract Secondary acute myeloid leukemia (sAML) includes AML as a complication of an antecedent hematological disorder or a therapy‐related AML. Large registry‐based data identified sAML as an independent poor‐outcome type of AML post allogeneic hematopoietic cell transplantation (allo‐HCT). In our study, we tried to define factors affecting outcomes of sAML post allo‐HCT, and identify patients with sAML who may truly benefit from allo‐HCT. We retrospectively analyzed the data of 64 patients aged (14‐61 years) with sAML who received allo‐HCT between September 2010 and February 2018 at our institute. Most of the patients were transplanted from matched related donors (MRD; 54, 84.4%). Our results showed that poor‐risk cytogenetics were identified in 31 patients (48.4%), and their presence was an indicator of poor overall survival (OS) and disease‐free survival (DFS; P‐value = .009, and .004, respectively). The cumulative incidence of chronic graft‐versus‐host disease (cGVHD) was significantly lower in sAML patients with poor‐risk cytogenetics (P‐value = .003) resulting in a high risk of death without cGVHD in this group of patients (P‐value = .02). Besides, GVHD relapse‐free survival (GRFS) analysis showed that most of our studied patients experienced either relapse or debilitating grade II‐IV cGVHD in the first 2 years post allo‐HCT. We conclude that sAML patients with poor‐risk cytogenetics have a significantly lower DFS post allo‐HCT with a high risk of death without active cGVHD.

Abstract This paper aims to investigate the feasibility of smart metering system based on narrowband power line communications (NB‐PLC) by using low‐voltage (LV) and medium‐voltage (MV) power line channels. The LV and MV networks of two different sites are selected to carry out comprehensive field measurements to investigate the characteristics of NB‐PLC channels for narrowband frequencies. The NB‐PLC channels of both sites are classified into two categories, that is, bad and good channels of LV and MV networks by considering their characteristics and performance. On the basis of measured results, the simulation models for the modeling of LV and MV NB‐PLC channels are developed and thus proposed. The measured and simulated results are compared to validate the efficiency of proposed methods. A state of the art mechanism for the modelling of capacitative coupling device and impedances of LV and MV networks is developed. It is proposed that simulation‐based NB‐PLC channel models and analyses can play a vital role in examining the residential and industrial types of channels. This research work will pave the way to standardize the future smart metering equipment and sensing devices of power system protection.

Abstract The International Code of Marketing of Breast‐milk Substitutes (BMS) instituted to protect breastfeeding against unethical marketing, has been adopted by many countries, including Bangladesh. Despite national adoption, evidence suggests violations occur and inadequate BMS Code implementation is an issue. The study aimed to assess violations of the International BMS Code and the national ‘Breast‐milk Substitutes, Infant Foods, Commercially Manufactured Complementary Foods and the Accessories Thereof (Regulation of Marketing) Act, 2013’ of Bangladesh in commercial settings (retail outlets and media) in Bangladesh, for different types of milk, bottles, and teats using a standardized Network for Global Monitoring and Support for Implementation of the Code and Subsequent relevant World Health Assembly Resolutions (NetCode) protocol. This cross‐sectional quantitative study was conducted in Bangladesh from January to September 2018 in Dhaka, Chattogram, and Sylhet cities. Descriptive statistics were reported and χ2 tests were conducted to assess differences between categorical variables of interest. Data were analysed using SPSS version 20. In retail outlets, there were higher proportion of violations observed in Dhaka than in Sylhet and Chattogram (p

Abstract Acquired thrombotic thrombocytopenic purpura is characterized by the microvascular aggregation of platelets and microangiopathic hemolytic anemia causing ischemia of multiple organs including the brain mainly and less likely the kidney and the heart. The disease is caused by severe reduction in the activity of ADAMTS 13 due to presence of inhibitory antibodies.

Background Coronary artery disease was hitherto a rarity in Africa. Acute coronary syndrome (ACS) accounts for coronary artery disease–related morbidity and mortality. Reports on ACS in Africa are few. Methods and Results We enrolled 1072 indigenous Nigerian people 59.2±12.4 years old (men, 66.8%) with ACS in an observational multicentered national registry (2013–2018). Outcome measures included incidence, intervention times, reperfusion rates, and 1‐year mortality. The incidence of ACS was 59.1 people per 100 000 hospitalized adults per year, and comprised ST‐segment–elevation myocardial infarction (48.7%), non–ST‐segment–elevation myocardial infarction (24.5%), and unstable angina (26.8%). ACS frequency peaked 10 years earlier in men than women. Patients were predominantly from urban settings (87.3%). Median time from onset of symptoms to first medical contact (patients with ST‐segment–elevation myocardial infarction) was 6 hours (interquartile range, 20.1 hours), and only 11.9% presented within a 12‐hour time window. Traditional risk factors of coronary artery disease were observed. The coronary angiography rate was 42.4%. Reperfusion therapies included thrombolysis (17.1%), percutaneous coronary intervention (28.6%), and coronary artery bypass graft (11.2%). Guideline‐based pharmacotherapy was adequate. Major adverse cardiac events were 30.8%, and in‐hospital mortality was 8.1%. Mortality rates at 30 days, 3 months, 6 months, and 1 year were 8.7%, 9.9%, 10.9%, and 13.3%, respectively. Predictors of mortality included resuscitated cardiac arrest (odds ratio [OR], 50.0; 95% CI, 0.010–0.081), nonreperfusion (OR, 34.5; 95% CI, 0.004–0.221), pulmonary edema (OR, 11.1; 95% CI, 0.020–0.363), left ventricular diastolic dysfunction (OR, 4.1; 95% CI, 0.091–0.570), and left ventricular systolic dysfunction (OR, 2.1; 95% CI, 1.302–3.367). Conclusions ACS burden is rising in Nigeria, and patients are relatively young and from an urban setting. The system of care is evolving and is characterized by lack of capacity and low patient eligibility for reperfusion. We recommend preventive strategies and health care infrastructure‐appropriate management guidelines.

Textiles have been used for clothing purposes since ancient times. However, due to their functional properties, their importance—as well as their use in various fields such as filtration, protective clothing, and medical applications—increased over time. Properties of the textile fabrics depend mostly on the fiber type, fabrication technique, and structure. Moreover, fabric porosity is one of the properties that provide comfort, increased thermal insulation, and filtration capability to the end products. The porous structure of woven, knitted, and nonwoven fabrics has been used for many years to get the desired porosity. Usually, macroporous structures are achieved using these types of textiles. Electrospinning is used to produce nanoporous textile fibrous web, but its poor mechanical properties and low production rate limit its use. Aerogels are solid materials with ultrahigh porosity at the nanoscale with low density and good thermal insulation properties, due to which they are considered potential insulation materials today. On the other hand, pure aerogels are sometimes brittle and have poor mechanical properties. Thus, they cannot be directly used in various applications. Consequently, textile reinforced aerogel composites have been developed, which could provide flexibility and strength to aerogels and impart nanoporous structure to textiles. This review summarizes conventional techniques to produce the porous structure in textiles followed by the modern techniques to develop a nanoporous structure. Further, different mechanisms to synthesize textile reinforced aerogel composites are discussed to get a nanoporous structure for filtration and thermal insulation applications. The porosity, mechanical properties, and thermal insulation of textile reinforced aerogel composites are also highlighted. In the end, we give a conclusion that not only summarizes the literature, but also includes recommendations for the researchers.

This study signifies the need for a smart integrated decentralized solar energy system in Pakistan. Since the outlook of energy is highly dominated by its power sector, policy measures must be adopted to ensure its penetration in the system of any country. After the industrial, the housing sector is the major energy-consuming sector. The goal of this study is to assess energy generation through a smart integrated decentralized solar energy system in the power hub of a commercial area in Taxila, Pakistan. Model development involves a hypothetical model built on LabVIEW which allows the user interface a way to intermingle with the source code. It permits the user to the transformation of the values sent to the source code and sees the information that the source code calculates. The proposed system is a collaborative sharing integrated decentralized solar system that credits sunlight-based energy framework proprietors for the power they add to different buildings due to the collaborative sharing mechanism at Rs.10 per kWh. This low-cost electricity is available at your doorstep that you can share according to the collaborative sharing basis that will not range any certain variable. Results from the literature describe that 30% of the cost associated with the commercial price of electricity amounts to distribution cost. This system of the utilization of energy would be applied at a local level to achieve the maximum power generation from solar panels through blockchain use of solar systems, especially in regions that have no entrance to traditional power with little odds of getting associated in the next 5-10 years.

Although neural networks are near achieving performance similar to humans in many tasks, they are susceptible to adversarial attacks in the form of a small, intentionally designed perturbation, which could lead to misclassifications. The best defense against these attacks, so far, is adversarial training (AT), which improves a model’s robustness by augmenting the training data with adversarial examples. However, AT usually decreases the model’s accuracy on clean samples and could overfit to a specific attack, inhibiting its ability to generalize to new attacks. In this paper, we investigate the usage of domain adaptation to enhance AT’s performance. We propose a novel multiple adversarial domain adaptation (MADA) method, which looks at this problem as a domain adaptation task to discover robust features. Specifically, we use adversarial learning to learn features that are domain-invariant between multiple adversarial domains and the clean domain. We evaluated MADA on MNIST and CIFAR-10 datasets with multiple adversarial attacks during training and testing. The results of our experiments show that MADA is superior to AT on adversarial samples by about 4% on average and on clean samples by about 1% on average.

Objective. Autogenous tooth bone graft (ATBG) was suggested as a source for bone grafting materials, especially as they have similar chemical composition to bone. This study goal was to assess the clinical and radiographic consequences of ATBG with or without L-PRF on bone deposition around immediate implants placed in periodontally hopeless sites. Materials and Methods. 26 patients, with periodontally diseased teeth, underwent random assignment to receive the surgical protocol either with L-PRF over ATBG around immediately inserted implants (test group) or without it (control group). Clinical examination was observed. Radiographically, bone changes horizontally and vertically to determine marginal bone loss (MBL) and mesiodistal bone changes were made at the base line and 6 and 9 months after implant insertion. Statistical analysis utilizing paired Student's t-test was used for comparing results within the same group, whereas an independent-sample t-test was used for intergroup variable comparison. Results. All implants met the criteria of success without any complications at the follow-up period. Nonsignificant differences were detected between horizontal bone alterations in both groups at 6 and 9 months P>.001. The test group showed statistically significant lower MBL than the control group P

The study of graphs containing edges and nodes is of great importance in science and in real life. Topological indices TIs are numerical parameters linked to chemical graphs used to estimate the biological, toxicological, and physical properties of chemical compounds. Recently, two terms, ev-degree- and ve-degree-based TIs, have been defined in chemical graph theory. In this paper, we have estimated degree-based TIs, namely, ev-degree Zagreb M type index, ev-degree Randic R index, ve-degree atom-bond connectivity ABC index, ve-degree geometric arithmetic index GA, ve-degree harmonic H index, and ve-degree sum-connectivity index for SiC4-IIi,j.

Abstract Characterization of genomic regions underlying adaptation of landraces can reveal a quantitative genetics framework for local wheat (Triticum aestivum L.) adaptability. A collection of 512 wheat landraces from the eastern edge of the Fertile Crescent in Iran and Pakistan were genotyped using genome‐wide single nucleotide polymorphism markers generated by genotyping‐by‐sequencing. The minor allele frequency (MAF) and the heterozygosity (H) of Pakistani wheat landraces (MAF = 0.19, H = 0.008) were slightly higher than the Iranian wheat landraces (MAF = 0.17, H = 0.005), indicating that Pakistani landraces were slightly more genetically diverse. Population structure analysis clearly separated the Pakistani landraces from Iranian landraces, which indicates two separate adaptability trajectories. The large‐scale agro‐climatic data of seven variables were quite dissimilar between Iran and Pakistan as revealed by the correlation coefficients. Genome‐wide association study identified 91 and 58 loci using agroclimatic data, which likely underpin local adaptability of the wheat landraces from Iran and Pakistan, respectively. Selective sweep analysis identified significant hits on chromosomes 4A, 4B, 6B, 7B, 2D, and 6D, which were colocalized with the loci associated with local adaptability and with some known genes related to flowering time and grain size. This study provides insight into the genetic diversity with emphasis on the genetic architecture of loci involved in adaptation to local environments, which has breeding implications.