Leading report of molecular prevalence of tick borne Anaplasma marginale and Theileria ovis in yaks (Bos grunniens) from Pakistan.

Domestic yak (Bos grunniens) is an economically important feature of the mountainous region of Gilgit-Baltistan in Pakistan where agriculture is restricted and yaks play multiple roles which includes being a source of milk, meat, hides, fuel and power. However little is known about the parasitic infections in Pakistani yaks. Aim of this research was to report the prevalence and genetic diversity of protozoa parasite (Theileria ovis, 18 S rDNA gene was targeted) and an obligate bacterium (Anaplasma marginale, msp-1 gene was amplified) in the blood that was sampled from 202 yaks collected from four districts in Gilgit-Baltistan during January 2023 till January 2024. Results revealed that 6/202 (3%) yaks were of Theileria ovis while 8/202 (4%) were Anaplasma marginale infected. Positive PCR products of both parasites were confirmed by DNA sequencing and their similarity with previously available pathogen sequences was determined by BLAST analysis. Phylogenetic tree indicated that isolates of both parasites displayed genetic. Anaplasma marginale infection varied with the sampling districts and Shigar district had the highest rate of bacterial infection. Cows were significantly more prone to Theileria ovis infection than bulls. Calf and hybrid yaks were more prone to Anaplasma marginale infection. In conclusion, this is the first report that yaks residing the Gilgit-Baltistan region in Pakistan are infected with Theileria ovis and Anaplasma marginale. Similar larger scales studies are recommended in various regions of Gilgit-Baltistan to document the infection rates of these parasites to formulate strategies that will lead to the effective control of these pathogens.

Geographic distribution and genetic diversity of Newcastle disease virus in pigeons from Pakistan.

RESEARCH HIGHLIGHTS: Virulent NDV genotypes were repeatedly isolated from pigeons.Evidence of epidemiological links among viruses isolated from various locations.Distinct phylogenetic branches suggest separate, simultaneous evolution of NDVs.Study information could be helpful in the development of an effective vaccine.

First-principles study on structural stabilities, mechanical properties, and biaxial strain-induced superconductivity in Janus MoWC monolayer.

The unique attributes of hydrophilicity, expansive surface groups, remarkable flexibility, and superior conductivity converge in MXene, a pioneering 2D material. Owing to MXene's exceptional properties, diverse strategies have been explored to enhance its characteristics. Janus MXene and stress-strain response considerations represent the primary avenues of interest today. In this study, we investigated the Janus MXene structure under biaxial stress using first-principles calculations. The most stable configuration of Janus MoWC MXene identified in our analysis exhibits an atomic arrangement known as the hexagonal (2H) phase. Subsequently, we examined the mechanical and electronic properties of 2H-MoWC when subjected to biaxial strain. Our findings indicate that the 2H phase of Janus MoWC MXene demonstrates superior strength compared to the tetragonal (1T) phase. Analysis of the ELF of the 2H-MoWC structure unveiled that the robust C-C bond within the material is the underlying factor enabling the 2H phase to withstand a maximum of 9% tensile strain. Furthermore, we demonstrate that 2H-MoWC is a superconductor with the superconducting temperature (Tc) of 1.6 K, and the superconductivity of 2H phase can be enhanced by biaxial strain with the Tc reaching 7 K. This study offers comprehensive insights into the properties of Janus MoWC monolayer under biaxial stress, positioning it as a promising candidate for 2D straintronic applications.

First-principles study of 2H-Mo2C-based MXenes under biaxial strain as Li-battery anodes.

MXenes, a family of superior 2D materials, have been intensively investigated because they have many promising properties, particularly high-performance energy storage and high flexibility. To approach the expected critical benchmarks of such materials, the strain dependence of the atomic structure is widely considered for tuning the related properties. In this work, by means of density functional theory, we demonstrate the potential application of the strained 2H phase of Mo2C-based MXenes (Mo2C and Mo2CO2) as anode materials for lithium-ion batteries (LIBs). Adsorption and diffusion of Li on the surfaces of both materials and the impact of biaxial strain (εb) in the range of -4% to 4% are insightfully investigated. The lowest adsorption energy of Mo2C is -0.96 eV, and that of Mo2CO2 is -3.13 eV at εb = 0%. The diffusion of Li ions, considering the pathway between the first two most favorable adsorption sites, reveals that the biaxial strain refinement under compressive strain decreases the energy barrier, but the induction of tensile strain increases it in both MXenes. The ranges of the energy barriers of Li-ion adsorption on the surfaces of Mo2C and Mo2CO2 are 31-57 meV and 177-229 meV, respectively. Interestingly, the storage capacity of Li can reach three layers corresponding to a comparably high theoretical capacity of 788.61 mA h g-1 for Mo2C and 681.64 mA h g-1 for Mo2CO2. The atomic configurations are stable, as verified by the negative adsorption energy as well as the slightly distorted structures, by using ab initio molecular dynamics (AIMD) simulations at 400 K. Moreover, average open circuit voltages (OCVs) of 0.35 V and 0.63 V (at εb = 0%) are reported for Mo2C and Mo2CO2, respectively. Furthermore, the tensile strain results in an increase in the OCVs, while compression has the opposite effect. These computational results provide some basic information on the behaviors of Li-ion adsorption and diffusion on Mo2C-based MXenes upon tuning biaxial strain. They also give a guideline on what conditions are appropriate for practically implementing these MXenes as electrode materials in LIBs.

Electrospun PVB/AVE NMs as mask filter layer for win-win effects of filtration and antibacterial activity.

The COVID-19 pandemic has caused serious social and public health problems. In the field of personal protection, the facial masks can prevent infectious respiratory diseases, safeguard human health, and promote public safety. Herein, we focused on preparing a core filter layer for masks using electrospun polyvinyl butyral/apocynum venetum extract nanofibrous membranes (PVB/AVE NMs), with durable interception efficiency and antibacterial properties. In the spinning solution, AVE acted as a salt to improve electrical conductivity, and achieve long-lasting interception efficiency with adjustable pore size. It also played the role of an antibacterial agent in PVB/AVE NMs to achieve win-win effects. The hydrophobicity of PVB-AVE-6% was 120.9° whereas its filterability reached 98.3% when the pressure drop resistance was 142 Pa. PVB-AVE-6% exhibited intriguing properties with great antibacterial rates of 99.38% and 98.96% against S. aureus and E. coli, respectively. After a prolonged usability test of 8 h, the filtration efficiency of the PVB/AVE masks remained stable at over 97.7%. Furthermore, the antibacterial rates of the PVB/AVE masks on S. aureus and E. coli were 96.87% and 96.20% respectively, after using for 2 d. These results indicate that PVB/AVE NMs improve the protective performance of ordinary disposable masks, which has certain application in air filtration.

Modelling Electricity Consumption During the COVID19 Pandemic: Datasets, Models, Results and a Research Agenda.

The COVID19 pandemic has impacted the global economy, social activities, and Electricity Consumption (EC), affecting the performance of historical data-based Electricity Load Forecasting (ELF) algorithms. This study thoroughly analyses the pandemic's impact on these models and develop a hybrid model with better prediction accuracy using COVID19 data. Existing datasets are reviewed, and their limited generalization potential for the COVID19 period is highlighted. A dataset of 96 residential customers, comprising 36 and six months before and after the pandemic, is collected, posing significant challenges for current models. The proposed model employs convolutional layers for feature extraction, gated recurrent nets for temporal feature learning, and a self-attention module for feature selection, leading to better generalization for predicting EC patterns. Our proposed model outperforms existing models, as demonstrated by a detailed ablation study using our dataset. For instance, it achieves an average reduction of 0.56% & 3.46% in MSE, 1.5% & 5.07% in RMSE, and 11.81% & 13.19% in MAPE over the pre- and post-pandemic data, respectively. However, further research is required to address the varied nature of the data. These findings have significant implications for improving ELF algorithms during pandemics and other significant events that disrupt historical data patterns.

Role of Block Copolymers in Tissue Engineering Applications.

Research on synthesis, characterization, and understanding of novel properties of nanomaterials has led researchers to exploit their potential applications. When compared to other nanotechnologies described in the literature, electrospinning has received significant interest due to its ability to synthesize novel nanostructures (such as nanofibers, nanorods, nanotubes, etc.) with distinctive properties such as high surface-to-volume ratio, porosity, various morphologies such as fibers, tubes, ribbons, mesoporous and coated structures, and so on. Various materials such as polymers, ceramics, and composites have been fabricated using the electrospinning technique. Among them, polymers, especially block copolymers, are one of the useful and niche systems studied recently owing to their unique and fascinating properties in both solution and solid state due to thermodynamic incompatibility of the blocks, that results in microphase separation. Morphology and mechanical properties of electrospun block copolymers are intensely influenced by quantity and length of soft and hard segments. They are one of the best studied systems to fit numerous applications due to a broad variety of properties they display upon varying the composition ratio and molecular weight of blocks. In this review, the synthesis, fundamentals, electrospinning, and tissue engineering application of block copolymers are highlighted.

Biaxial stress and functional groups (T = O, F, and Cl) tuning the structural, mechanical, and electronic properties of monolayer molybdenum carbide.

MXenes are a family of novel two-dimensional (2D) materials attracting intensive interest because of the rich chemistry rooted from the highly diversified surface functional groups. This enables the chemical optimization suitable for versatile applications, including energy conversion and storage, sensors, and catalysis. This work reports the ab initio study of the crystal energetics, electronic properties, and mechanical properties, and the impacts of strain on the electronic properties of tetragonal (1T) and hexagonal (2H) phases of Mo2C as well as the surface-terminated Mo2CT2 (T = O, F, and Cl). Our findings indicate that 2H-Mo2C is energetically more stabilized than the 1T counterpart, and the 1T-to-2H transition requires a substantial energy of 210 meV per atom. The presence of surface termination T atoms on Mo2C intrinsically induces variations in the atomic structure. The calculated structures were selected based on the energetic and thermodynamic stabilities (400 K). The O atom prefers to be terminated on 2H-Mo2C, whereas the Cl atom energetically stabilizes on 1T-Mo2C. Meanwhile, with certain configurations, 2H-Mo2CF2 and 1T-Mo2CF2 with slightly different energies could exist simultaneously. The Mo2CO2 possesses the highest mechanical strength and elastic modulus (σmax = 52 GPa at εb = 20% and E = 507 GPa). The nature of the ordered centrosymmetric layer and the strong bonding between 4 d-Mo and 2 p-O of 2H-Mo2CO2 are responsible for its promising mechanical properties. Interestingly, the topological properties of 2H-Mo2CO2 at a wide range of strains (-10% to 12%) are reported. Moreover, 2H-Mo2CF2 is metallic through the range of calculation. Meanwhile, originally semiconducting 1T-Mo2CF2 and 1T-Mo2CCl2 preserve their features under the ranges of the strain of -2% to 10% and -1% to 5%, respectively, beyond which they undergo the semiconductor-to-metal transitions. These findings would guide the potential applications in modern 2D straintronic devices.

Stabilizing Interface pH by N-Modified Graphdiyne for Dendrite-Free and High-Rate Aqueous Zn-Ion Batteries.

Zn dendrite issue was intensively studied via tuning zinc ion flux. pH change seriously influences dendrite formation, while its importance has not been revealed. Here, we construct a N-modification graphdiyne interface (NGI) to stabilize pH by mediating hydrated zinc ion desolvation. Operando pH detection reveals pH stabilization by NGI. This works with pores in NGI to achieve dendrite-free Zn deposition and an increased symmetric cell lifespan by 116 times. Experimental and theoretical results owe pH stabilization to desolvation with a reduced activation energy achieved by electron transfer from solvation sheath to N atom. The efficient desolvation ensures that electron directly transfers from substrate to Zn2+ (rather than the coordinated H2 O), avoiding O-H bond splitting. Hence, Zn-V6 O13 battery achieves a long lifespan at 20.65 mA cm-2 and 1.07 mAh cm-2 . This work reveals the significance of interface pH and provides a new approach to address Zn dendrite issue.

Forecasting the daily deaths caused by COVID-19 using ARIMA model.

Coronavirus disease (COVID-19) pandemic has recently become a global health crisis. On the basis of this study the data reported from ten different countries on confirmed daily deaths caused by COVID-19. By fitting the linear regression models based on the data from ten countries to find the relationship between the new cases and deaths reported daily. We also used the autoregressive integrated moving average model (ARIMA) to predict the potential number of daily deaths caused by COVID-19 in these countries in the next 3 Months. The R2 value obtained for Iran (0.24) implies that 24% of daily deaths correspond to the daily cases. The R2of Pakistan 0.662 which indicates that 66.2% of daily deaths are explained by our predictor variable. In Turkey 70.2% of daily deaths are explained by daily cases and India recorded the highest number of deaths while UAE had the lowest number of deaths. Our results suggest that the pandemic is under control in China, UAE and Australia. Pakistan, Iran, Germany and Italy however, showed an upward trend in the spread of the disease, which may correlate with a high increase in death rate as the data indicated.

Nanofibrous drug delivery systems for breast cancer: a review.

Breast cancer is the most common type of cancer among women. Breast-conserving surgery (BCS) is one of the preferred approaches for treating non-invasive or early-stage breast cancers. However, local-regional recurrence (LRR) is one of the critical risk factors after BCS. As many as 10%-20% of BCS cases may show LRR within 5 years and almost 50% within 10 years after surgery. Radiation therapy is one of the preferred treatments used to prevent LRR after BCS. However, because of possible side-effects of radiation therapy, targeted drug delivery systems (DDS) based on nanofibers loaded with anti-cancer drugs have been explored in recent years to control LRR. This paper aims to review different polymers and anti-cancer drugs used for developing nanofibrous DDS against various breast cancer cell lines for their efficacy and advantages. It was observed that the utilization of nanofibers scaffolds after mastectomy could decrease the recurrence of breast cancer cells to a great extent as these nanofibrous scaffolds release drugs in a sustained manner for a prolonged time eliminating the need for radiations. Besides, the side effects of chemotherapy or other aggressive anticancer treatment on healthy cells could also be avoided.

Silver-containing polysaccharide-based tricomponent antibacterial fibres for wound care applications.

OBJECTIVE: Polysaccharide-based biomaterials are extensively used in wound care healing due to their unique liquid absorption, gelling properties and biocompatibility properties. They play an important role in controlling infections of highly exuding hard-to-heal wounds. The main objective of this study was to develop silver-containing polysaccharide-based tricomponent antibacterial fibres for use in these complex wounds. METHOD: The fibres were developed by coating silver-containing alginate and psyllium fibres with hydrolysed chitosan. Dope solution containing alginate, psyllium and silver carbonate was extruded into a coagulation bath containing calcium chloride and hydrolysed chitosan. The developed fibres were tested for liquid absorption, swelling and antibacterial properties against a control fibre (of alginate and psyllium). RESULTS: The developed fibres showed comparatively better liquid absorption, gelling and antibacterial properties than the control fibres. CONCLUSION: The study concluded that developed fibres could be a preferred choice for application on hard-to-heal wounds with high levels of exudate, to support infection control and faster healing.

Trends in Incidence, and Mortality of Acute Exacerbation of Chronic Obstructive Pulmonary Disease in the United States Emergency Department (2010-2018).

Literature regarding trends of incidence, mortality, and complications of acute exacerbation of chronic obstructive pulmonary disease (COPD) in the emergency departments (ED) is limited. What are trends of COPD exacerbation in ED? Data were obtained from the Nationwide Emergency Department Sample (NEDS) that constitutes a 20% sample of hospital-owned EDs and inpatient sample in the US. All ED encounters were included in the analysis. Complications of AECOPD were obtained by using ICD codes. Out of 1.082 billion ED encounters, 5,295,408 (mean age 63.31 ± 12.63 years, females 55%) presented with COPD exacerbation. Among these patients, 353,563(6.7%) had AECOPD-plus (features of pulmonary embolism, acute heart failure and/or pneumonia) while 4,941,845 (93.3%) had exacerbation without associated features or precipitating factors which we grouped as AECOPD. The AECOPD-plus group was associated with statistically significantly higher proportion of cardiovascular complications including AF (5.6% vs 3.5%; p < 0.001), VT/VF (0.14% vs 0.06%; p < 0.001), STEMI (0.22% vs 0.11%; p < 0.001) and NSTEMI (0.65% vs 0.2%; p < 0.001). The in-hospital mortality rates were greater in the AECOPD-plus population (0.7% vs 0.1%; p < 0.001). The incidence of both AECOPD and AECOPD-plus had worsened (p-trend 0.004 and 0.0003) and the trend of mortality had improved (p-trend 0.0055 and 0.003, respectively). The prevalence of smoking for among all COPD patients had increased (p-value 0.004), however, the prevalence trend of smoking among AECOPD groups was static over the years 2010-2018. There was an increasing trend of COPD exacerbation in conjunction with smoking; however, mortality trends improved significantly. Moreover, the rising burden of AECOPD would suggest improvement in diagnostics and policy making regarding management.

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.

Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is challenging due to its diverse, complex, and infrequent occurrence in real-time surveillance environments. Various deep learning models use significant amounts of training data without generalization abilities and with huge time complexity. To overcome these problems, in the current work, we present an efficient light-weight convolutional neural network (CNN)-based anomaly recognition framework that is functional in a surveillance environment with reduced time complexity. We extract spatial CNN features from a series of video frames and feed them to the proposed residual attention-based long short-term memory (LSTM) network, which can precisely recognize anomalous activity in surveillance videos. The representative CNN features with the residual blocks concept in LSTM for sequence learning prove to be effective for anomaly detection and recognition, validating our model's effective usage in smart cities video surveillance. Extensive experiments on the real-world benchmark UCF-Crime dataset validate the effectiveness of the proposed model within complex surveillance environments and demonstrate that our proposed model outperforms state-of-the-art models with a 1.77%, 0.76%, and 8.62% increase in accuracy on the UCF-Crime, UMN and Avenue datasets, respectively.

An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space.

Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice in real life, and one of these is road safety training for children. Traditional video- and presentation-based road safety training has average output results as it lacks physical practice and the involvement of children during training, without any practical testing examination to check the learned abilities of a child before their exposure to real-world environments. Therefore, in this paper, we propose a 3D realistic open-ended VR and Kinect sensor-based training setup using the Unity game engine, wherein children are educated and involved in road safety exercises. The proposed system applies the concepts of VR in a game-like setting to let the children learn about traffic rules and practice them in their homes without any risk of being exposed to the outside environment. Thus, with our interactive and immersive training environment, we aim to minimize road accidents involving children and contribute to the generic domain of healthcare. Furthermore, the proposed framework evaluates the overall performance of the students in a virtual environment (VE) to develop their road-awareness skills. To ensure safety, the proposed system has an extra examination layer for children's abilities evaluation, whereby a child is considered fit for real-world practice in cases where they fulfil certain criteria by achieving set scores. To show the robustness and stability of the proposed system, we conduct four types of subjective activities by involving a group of ten students with average grades in their classes. The experimental results show the positive effect of the proposed system in improving the road crossing behavior of the children.

Isolation and phylogenetic analysis of Avian orthoavulavirus 1 sub-genotypes VII.2 and XXI.1.2 from caged birds in the Lahore district, Pakistan - Short communication.

In this study, the prevalence of Avian orthoavulavirus-1 (AOAV-1) (also commonly known as Newcastle disease virus) was investigated in caged birds kept in bird markets in the Lahore district of Pakistan. A total of 354 swab samples were obtained from 14 different species of clinically healthy birds. The overall virus prevalence was 12.7% in 9 out of the 14 species. Phylogenetic analysis of the complete fusion protein (F) gene showed that 23 isolates from different avian species belonged to sub-genotype VII.2 while three isolates of pigeon origin clustered with sub-genotype XXI.1.2. The VII.2 viruses isolated had a high nucleotide identity to viruses repeatedly isolated from poultry in Pakistan from 2011 to 2018. To date, sub-genotype XXI.1.2 viruses have only been identified in Pakistan. These findings suggest that the Newcastle disease (ND) outbreaks occurring in Pakistan involve multiple hosts and environments. The study emphasises the importance of continuing to monitor multiple avian species for the presence of AOAV-1s and implementing effective ND control strategies.

Assessment of general awareness among Pakistani students regarding COVID-19 outbreak.

At the end of 2019, a novel infectious agent known as severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) originated from Hubei, China; from where it spread to other regions of the globe. In March 2020, World health organization (WHO) expressed fears that Pakistan might emerge as the next epicenter of corona virus infectious disease 2019 (COVID-19). Since proper preventive and curative measures are currently unavailable, only remedy is self-isolation which necessitates ample awareness among people. In this regard, Pakistan faces a unique challenge as it is a populous country with a record of contagious outbreaks in the past. Therefore, it is crucial to evaluate the general understanding regarding the cause, spread, control and psychological consequences of this pandemic in Pakistani population, especially in the youth that represents over 60% of the population. In this study, we have collected and analyzed responses related to awareness and attitude of students through a self-designed questionnaire. In total 1822 responses were collected and subjected to descriptive and frequency analysis. Outcomes of the survey suggest that majority of the respondents are well aware of the disease outbreak, complications and its mode of transmission. It is also evident from the obtained responses that youth of the country is willing to opt the precautionary measures and avoid mass gatherings.

Is Pakistan prepared for the COVID-19 epidemic? A questionnaire-based survey.

COVID-19 is a pandemic that began in China in December 2019. World health organization (WHO) has expressed fears that Pakistan might emerge as the next epicenter of this pandemic. We hypothesize that at present the Pakistani masses are not prepared to face any threat of a looming epidemic. The main aim of this study was to evaluate the basic knowledge of educational and health care workers (HCWs) regarding COVID-19, its control, and prevention. Knowledge about origin, symptoms, and spread of viral infection was assessed. In this cross-sectional survey, a self-designed questionnaire was distributed among 302 HCWs including physicians (10.9%), nurses (1.32%), lab staff (1.65%), and academic individuals including faculty and students (86.42%) of different organizations. Results were analyzed using the χ2 test. Obtained results validate our null hypothesis that Pakistani masses are not well aware of the COVID-19 and strategies for the prevention and control of infection. The study concluded that individuals belonging to the front-line workers and high literacy groups are not prepared for the alarming situation in the country. Effectual implementation of infection control programs should be practiced, and it depends on awareness, training, and cooperation of individuals.

Superior Anchoring of Sodium Polysulfides to the Polar C2N 2D Material: A Potential Electrode Enhancer in Sodium-Sulfur Batteries.

Despite the high theoretical specific energy in rechargeable sodium-sulfur batteries, the shuttle effect severely hampers its capacity and reversibility, which could be overcome by introducing an anchoring material. We, herein, use first-principles calculations to study the low-cost, easily synthesized, environmentally friendly, and stable two-dimensional polar nitrogenated holey graphene (C2N) and nonpolar polyaniline (C3N) to investigate their performance as anchoring materials and the mechanism behind the binding to identify the best candidate to improve the performance of sodium-sulfur batteries. We gain insight into the interaction, including the lowest-energy configurations, binding energies, binding nature, charge transfer, and electronic properties. Sodium primarily contributes to binding with the nanosheets, which is in accordance with their characteristics as anchoring materials. Sodium polysulfides (NaPSs) and the S8 cluster adsorb at the pores of C2N, where there are six electron lone pairs, one for each N atom. The polar C2N binds the NaPSs much strongly than the nonpolar C3N. In contrast to C3N, the charge population substantially modifies by adsorbing NaPSs on C2N, with a substantial charge transfer from the sulfur atoms. The calculated work function of 6.04 eV for pristine C2N, comparable with the previously reported values, decreases on adsorption of the NaPSs formed from battery discharging. We suggest that the inclusion of C2N into sulfur electrodes could also improve their issue with poor conductivity.

Capacity enhancement of polylithiated functionalized boron nitride nanotubes: an efficient hydrogen storage medium.

By using first principles density functional theory simulations, we report detailed geometries, electronic structures and hydrogen (H2) storage properties of boron nitride nanotubes (BNNTs) doped with selective polylithiated molecules (CLi2). We find that unsaturated bonding of Li-1s states with BNNT significantly enhances the system stability and hinders the Li-Li clustering effect, which can be detrimental for reversible H2 storage. The H2 adsorption mechanism is explained on the basis of polarization caused by the cationic Li+ of CLi2 molecules bonded with BNNT. The incident H2 molecules are adsorbed with BNNT-nCLi2 through electrostatic and van der Waals interactions. We find that with a maximum of 5.0% of CLi2 coverage on BNNT, an H2 gravimetric density of up to 4.41 wt% can be achieved with adsorption energies in the range of -0.33 eV per H2, which is suitable for ambient condition H2 storage applications.