Scalable Ab Initio Electronic Structure Methods with Near Chemical Accuracy for Main Group Chemistry.

This study evaluates the precision of widely recognized quantum chemical methodologies, CCSD(T), DLPNO-CCSD(T), and localized ph-AFQMC, for determining the thermochemistry of main group elements. DLPNO-CCSD(T) and localized ph-AFQMC, which offer greater scalability compared to canonical CCSD(T), have emerged over the past decade as pivotal in producing precise benchmark chemical data. Our investigation includes closed-shell, neutral molecules, focusing on their heat of formation and atomization energy sourced from four specific small molecule data sets. First, we selected molecules from the G2 and G3 data sets, noted for their reliable experimental heat of formation data. Additionally, we incorporate molecules from the W4-11 and W4-17 sets, which provide high-level theoretical reference values for atomization energy at 0 K. Our findings reveal that both DLPNO-CCSD(T) and ph-AFQMC methods are capable of achieving a root-mean-square deviation of less than 1 kcal/mol across the combined data set, aligning with the threshold for chemical accuracy. Moreover, we make efforts to confine the maximum deviations within 2 kcal/mol, a degree of precision that significantly broadens the applicability of these methods in fields such as biology and materials science.

Microscopic Theory of Multimode Polariton Dispersion in Multilayered Materials.

We develop a microscopic theory for the multimode polariton dispersion in materials coupled to cavity radiation modes. Starting from a microscopic light-matter Hamiltonian, we devise a general strategy for obtaining simple matrix models of polariton dispersion curves based on the structure and spatial location of multilayered 2D materials inside the optical cavity. Our theory exposes the connections between seemingly distinct models that have been employed in the literature and resolves an ambiguity that has arisen concerning the experimental description of the polaritonic band structure. We demonstrate the applicability of our theoretical formalism by fabricating various geometries of multilayered perovskite materials coupled to cavities and demonstrating that our theoretical predictions agree with the experimental results presented here.

Response properties in phaseless auxiliary field quantum Monte Carlo.

We present a method for calculating first-order response properties in phaseless auxiliary field quantum Monte Carlo by applying automatic differentiation (AD). Biases and statistical efficiency of the resulting estimators are discussed. Our approach demonstrates that AD enables the calculation of reduced density matrices with the same computational cost scaling per sample as energy calculations, accompanied by a cost prefactor of less than four in our numerical calculations. We investigate the role of self-consistency and trial orbital choice in property calculations. We find that orbitals obtained using density functional theory perform well for the dipole moments of selected molecules compared to those optimized self-consistently.

External irrigation of a non-irrigated ablation catheter for effective AV node ablation during conduction system pacing.

Ablation using non-irrigated catheter can lead to rapid rise in temperature of electrode tissue interface from tissue desiccation, steam and coagulum formation and this may limit power delivery and lesion size. We present a novel technique of external irrigation through the long sheath while using a non-irrigated ablation catheter during AV Node ablation and conduction system pacing. By bringing the long sheath closer to the tip of non-irrigated catheter and injecting cold normal saline allows cooling of electrode tissue interface leading to increase in power delivery resulting in a deeper lesion.

Selected configuration interaction wave functions in phaseless auxiliary field quantum Monte Carlo.

We present efficient algorithms for using selected configuration interaction (sCI) trial wave functions in phaseless auxiliary field quantum Monte Carlo (ph-AFQMC). These advances, geared toward optimizing computational performance for longer configuration interaction expansions, allow us to use up to a million configurations in the trial state for ph-AFQMC. In one example, we found the cost of ph-AFQMC per sample to increase only by a factor of about 3 for a calculation with 104 configurations compared to that with a single one, demonstrating the tiny computational overhead due to a longer expansion. This favorable scaling allows us to study the systematic convergence of the phaseless bias in auxiliary field quantum Monte Carlo calculations with an increasing number of configurations and provides a means to gauge the accuracy of ph-AFQMC with other trial states. We also show how the scalability issues of sCI trial states for large system sizes could be mitigated by restricting them to a moderately sized orbital active space and leveraging the near-cancellation of out of active space phaseless errors.

Pneumothorax leading to pneumopericardium after transvenous lead implantation in a patient with previous epicardial lead.

A 44-year-old lady, a follow-up case of idiopathic dilated cardiomyopathy and cardiac resynchronization therapy defibrillator device implantation with epicardial left ventricular (LV) lead, underwent a transvenous LV lead revision in view of epicardial lead malfunction. A chest X-ray after this, done for worsening dyspnea, revealed pneumopericardium along with left pneumothorax. The computed tomography (CT) revealed a communication between the left pleural and pericardial cavities, around the old epicardial lead. Drainage of the left pleural cavity resolved both the pneumothorax and pneumopericardium and the patient remained well on follow up.

Is the right ventricular function affected by permanent pacemaker?

AIMS: The effect of right ventricular (RV) pacing on left ventricular (LV) function has been extensively evaluated, but the effect on RV function per se has not been evaluated systematically. We aimed to assess the effect of dual chamber pacemaker on RV function. METHODS AND RESULTS: All consecutive patients undergoing dual chamber pacemaker from January 2018 to March 2019 for AV block with a structurally normal heart were included. They underwent pre-procedure detailed echocardiography (including three-dimensional [3D] RV ejection fraction [RVEF]), a screening echocardiogram 2 days after pacemaker implantation and again a detailed echocardiogram at 6-month follow-up. We compared the baseline echocardiographic RV parameters with those 6 months after the pacemaker implantation. A total of 60 patients underwent successful pacemaker implantation. At 6 months, most of the patients were pacemaker dependent with pacing percentage of 98.9% ± 2.4%; there was a significant increase in TR and a mean drop in RVEF by 2.8 ± 5%, with 23 (38.3%) having at least a 5% decrease in RVEF. The drop in RVEF positively correlated with TR vena contracta at 6 months but did not correlate with pulmonary artery systolic pressure at 6 months. CONCLUSION: Our study shows the presence of demonstrable RV dysfunction as early as 6 months in a majority of patients who have undergone pacemaker implantation.

Transcriptome analysis of Snow Mountain Garlic for unraveling the organosulfur metabolic pathway.

Snow Mountain Garlic grows in the high altitudes of the Himalayas under low temperature conditions. It contains various bioactive compounds whose metabolic pathways have not been worked out at genomic level. The present work is the first report on the transcriptome sequencing of this plant. >43 million paired-end reads (301 × 2) were generated using Illumina Miseq sequencing technology. Assembling of the sequencing data resulted in 326,785 transcripts. Differentially expressed genes between the clove and leaf tissues were identified and characterized. Besides, greater emphasis was laid on the genes, which were highly expressed in clove since the latter is assumed to contain high content of the bioactive compounds. Further analysis led to the identification of the genes plausibly involved in the organosulfur metabolism. We also identified several simple sequence repeats and single nucleotide polymorphism. These constitute valuable genetic resource for research and further genetic improvement of the plant.

Efficient local energy evaluation for multi-Slater wave functions in orbital space quantum Monte Carlo.

We present an algorithm for calculating the local energy of a multi-Slater wave function in orbital space quantum Monte Carlo (QMC). Recent developments in selected configuration interaction methods have led to increased interest in using multi-Slater trial wave functions in various QMC methods. For an ab initio Hamiltonian, our algorithm has a cost scaling of O(n5 + nc), as opposed to the O(n4nc) scaling of existing orbital space algorithms, where n is the system size and nc is the number of configurations in the wave function. We present our method using variational Monte Carlo calculations with the Jastrow multi-Slater wave function, although the formalism should be applicable for auxiliary field QMC. We apply it to polyacetylene and demonstrate the possibility of using a much larger number of configurations than possible using existing methods.

Efficient multireference perturbation theory without high-order reduced density matrices.

We present a stochastic approach to perform strongly contracted n-electron valence state perturbation theory (SC-NEVPT), which only requires one- and two-body reduced density matrices, without introducing approximations. We use this method to perform SC-NEVPT2 for complete active space self-consistent field wave functions obtained from selected configuration interaction, although the approach is applicable to a larger class of wave functions, including those from orbital-space variational Monte Carlo. The accuracy of this approach is demonstrated for small test systems, and the scaling is investigated with the number of virtual orbitals and the molecule size. We also find the SC-NEVPT2 energy to be relatively insensitive to the quality of the reference wave function. Finally, the method is applied to the Fe(II)-porphyrin system with a (32e, 29o) active space and to the isomerization of [Cu2O2]2+ in a (28e, 32o) active space.

An accelerated linear method for optimizing non-linear wavefunctions in variational Monte Carlo.

Although the linear method is one of the most robust algorithms for optimizing nonlinearly parametrized wavefunctions in variational Monte Carlo, it suffers from a memory bottleneck due to the fact that at each optimization step, a generalized eigenvalue problem is solved in which the Hamiltonian and overlap matrices are stored in memory. Here, we demonstrate that by applying the Jacobi-Davidson algorithm, one can solve the generalized eigenvalue problem iteratively without having to build and store the matrices in question. The resulting direct linear method greatly lowers the cost and improves the scaling of the algorithm with respect to the number of parameters. To further improve the efficiency of optimization for wavefunctions with a large number of parameters, we use the first order method AMSGrad far from the minimum as it is very inexpensive and only switch to the direct linear method near the end of the optimization where methods such as AMSGrad have long convergence tails. We apply this improved optimizer to wavefunctions with real and orbital space Jastrow factors applied to a symmetry-projected generalized Hartree-Fock reference. Systems addressed include atomic systems such as beryllium and neon, molecular systems such as the carbon dimer and iron(ii) porphyrin, and model systems such as the Hubbard model and hydrogen chains.

A Comparative Study of Platelet-rich Fibrin (PRF) and Titanium-prepared Platelet-rich Fibrin (T-PRF) in Management of Endo-perio Lesions.

AIM: The aim of the study was to compare the platelet-rich fibrin (PRF) and titanium-prepared platelet-rich fibrin (T-PRF) in the management of endo-perio lesions. MATERIALS AND METHODS: This study was conducted with 140 patients who are affected by endo-perio lesions, and the patients were divided into two groups. In group I, patients were treated with PRF, and in group II, patients were treated with T-PRF. Endodontic treatment was done in all cases, following a standardized aseptic method. Probing pocket and relative attachment level were recorded after 3 months and 6 months in both groups. RESULTS: After 3 months, the mean change of probing pocket depth (PPD) was 68% in group I and 33.41% in group II. The intergroup distinction was not significant (p > 0.05), whereas the intragroup evaluation was significant (p < 0.05). The mean change after 6 months was 42.59% in group I and 43.90% in group II. The difference was not significant (p > 0.05). After 3 months, the mean% change of relative attachment level (RAL) was 31.20% in group I and 31.60% in group II. The intergroup distinction was not significant (p > 0.05), whereas the intragroup evaluation established a considerable discrepancy (p < 0.05). The mean change after 6 months was 40.82% in group I and 42.12% in group II. CONCLUSION: Both PRF and T-PRF were effective in inducing a reduction in pocket depth and useful in gaining attachment level. CLINICAL SIGNIFICANCE: With the use of PRF and T-PRF, the complex case of endo-perio lesions can be efficiently managed.

Acute hemodynamics of cardiac sympathetic denervation.

INTRODUCTION: We aimed to study the immediate hemodynamic effects of thoracoscopic bilateral cardiac sympathetic denervation (CSD) for recurrent ventricular tachycardia (VT) or VT storm. METHOD: We studied a group of 18 adults who underwent bilateral thoracoscopic CSD; the blood pressure (BP) and Heart Rate (HR) were continuously monitored during the surgery and up to 6 h post-operatively. RESULTS: Immediately on removal of the sympathetic ganglia, the patients had a drop in both the systolic (110 mm Hg to 95.8 mm Hg, p < 0.001) and diastolic BP (69.4 mm Hg to65 mm Hg, p = 0.007) along with a drop in the HR (81.6 bpm to 61.2 bpm, p < 0.001).At 6 h after CSD, the systolic and diastolic BP did not recover significantly, while there was recovery in HR (61.2 bpm to 66 bpm, p = 0.02). There was no significant difference between those with and without left ventricular (LV) systolic dysfunction. CONCLUSION: The acute hemodynamic changes during the perioperative period of CSD are significant but not serious. Awareness of this is useful for peri-operative management.

Symmetry-Projected Jastrow Mean-Field Wave Function in Variational Monte Carlo.

We extend our low-scaling variational Monte Carlo (VMC) algorithm to optimize the symmetry-projected Jastrow mean-field (SJMF) wave functions. These wave functions consist of a symmetry-projected product of a Jastrow and a general broken-symmetry mean-field reference. Examples include Jastrow antisymmetrized geminal power, Jastrow-Pfaffians, and resonating valence bond states, among others, all of which can be treated with our algorithm. We will demonstrate using benchmark systems including the nitrogen molecule, a chain of hydrogen atoms, and 2-D Hubbard model that a significant amount of correlation can be obtained by optimizing the energy of the SJMF wave function. This can be achieved at a relatively small cost when multiple symmetries including spin, particle number, and complex conjugation are simultaneously broken and projected. We also show that reduced density matrices can be calculated using the optimized wave functions, which allows us to calculate other observables such as correlation functions and will enable us to embed the VMC algorithm in a complete active-space self-consistent field calculation.

Multireference configuration interaction and perturbation theory without reduced density matrices.

The computationally expensive evaluation and storage of high-rank reduced density matrices (RDMs) has been the bottleneck in the calculation of dynamic correlation for multireference wave functions in large active spaces. We present a stochastic formulation of multireference configuration interaction and perturbation theory that avoids the need for these expensive RDMs. The algorithm presented here is flexible enough to incorporate a wide variety of active space reference wave functions, including selected configuration interaction, matrix product states, and symmetry-projected Jastrow mean field wave functions. It enjoys the usual attractive features of Monte Carlo methods, such as embarrassing parallelizability and low memory costs. We find that the stochastic algorithm is already competitive with the deterministic algorithm for small active spaces, containing as few as 14 orbitals. We illustrate the utility of our stochastic formulation using benchmark applications.

Comparative Evaluation of Microbial Flora of Endodontic Origin in Teeth with Endo-Perio Lesions.

Background: Endodontic microbial flora plays a pivotal role in the development and persistence of periodontal endodontic lesions (PELs). Understanding the composition and prevalence of microbial species in PELs is essential for effective treatment strategies. Materials and Methods: Microbial samples were collected from 50 teeth diagnosed with PELs. Sterile paper points were used to obtain samples from the root canals. Deoxyribonucleic acid (DNA) was extracted and subjected to polymerase chain reaction (PCR) amplification of the 16S ribosomal RNA (rRNA) gene to identify bacterial species. The obtained data were analyzed using statistical methods. Results: The microbial analysis revealed a diverse range of bacterial species in PELs. The most prevalent species were Porphyromonas gingivalis (32.5%), Treponema denticola (28.0%), and Fusobacterium nucleatum (22.5%). Streptococcus mutans (9.0%) and Actinomyces naeslundii (8.0%) were also frequently detected. Additionally, Prevotella intermedia (7.0%), Aggregatibacter actinomycetemcomitans (3.5%), and Enterococcus faecalis (2.5%) were present in lower frequencies. Conclusion: The presence of a diverse microbial flora in teeth with PELs underscores the polymicrobial nature of these lesions. The predominance of periodontal pathogens such as Porphyromonas gingivalis, Treponema denticola, and Fusobacterium nucleatum suggests a strong association between periodontal and endodontic infections. A comprehensive understanding of the microbial profile in PELs is crucial for tailored therapeutic approaches targeting the specific pathogens involved.

Toward Linear Scaling Auxiliary-Field Quantum Monte Carlo with Local Natural Orbitals.

We develop a local correlation variant of auxiliary-field quantum Monte Carlo (AFQMC) based on local natural orbitals (LNO-AFQMC). In LNO-AFQMC, independent AFQMC calculations are performed for each localized occupied orbital using a truncated set of tailored orbitals. Because the size of this space does not grow with the system size for a target accuracy, the method has linear scaling. Applying LNO-AFQMC to molecular problems containing a few hundred to a thousand orbitals, we demonstrate convergence of total energies with significantly reduced costs. The savings are more significant for larger systems and larger basis sets. However, even for our smallest system studied, we find that LNO-AFQMC is cheaper than canonical AFQMC, in contrast with many other reduced-scaling methods. Perhaps most significantly, we show that energy differences converge much more quickly than total energies, making the method ideal for applications in chemistry and material science. Our work paves the way for linear scaling AFQMC calculations of strongly correlated systems, which would have a transformative effect on ab initio quantum chemistry.

ipie: A Python-Based Auxiliary-Field Quantum Monte Carlo Program with Flexibility and Efficiency on CPUs and GPUs.

We report the development of a python-based auxiliary-field quantum Monte Carlo (AFQMC) program, ipie, with preliminary timing benchmarks and new AFQMC results on the isomerization of [Cu2O2]2+. We demonstrate how implementations for both central and graphical processing units (CPUs and GPUs) are achieved in ipie. We show an interface of ipie with PySCF as well as a straightforward template for adding new estimators to ipie. Our timing benchmarks against other C++ codes, QMCPACK and Dice, suggest that ipie is faster or similarly performing for all chemical systems considered on both CPUs and GPUs. Our results on [Cu2O2]2+ using selected configuration interaction trials show that it is possible to converge the ph-AFQMC isomerization energy between bis(µ-oxo) and µ-η2:η2 peroxo configurations to the exact known results for small basis sets with 105-106 determinants. We also report the isomerization energy with a quadruple-zeta basis set with an estimated error less than a kcal/mol, which involved 52 electrons and 290 orbitals with 106 determinants in the trial wave function. These results highlight the utility of ph-AFQMC and ipie for systems with modest strong correlation and large-scale dynamic correlation.

Evaluation of visual pedagogy teaching method for improving oral hygiene practice in children with Autism: An interventional study.

BACKGROUND: Evaluation of visual pedagogy teaching method for improving oral hygiene practice in children with Autism: An interventional study: Visual pedagogy is a relatively newer approach to improve dental care in autistic children. The present study aimed to evaluate visual pedagogy in the practice of oral hygiene in autistic children. MATERIALS AND METHODS: This interventional and prospective study was conducted in the Department of Paediatric and Preventive Dentistry. Required approval was obtained from Institutional Ethical Board. Written informed consent was obtained from parents/caregivers. The age range was 5-12 years which included 100 participants (40 males and 60 females). Improvement of oral hygiene was evaluated by recording the tooth brushing technique and ability to follow instructions as presented in the educational video shown on smartphones with Wi-Fi/mobile data. Inclusion criteria: (1) Accessibility and (2) Age range between 5 to 12 years. Exclusion criteria: (1) Non-cooperative children, (2) Children receiving medicines that influence oral health, and (3) Inability to follow-ups. Fones technique was used for brushing teeth in video recording demonstrating it in simple structured steps. Statistical analysis was performed using Chi-square and Independent t tests. RESULTS: Statistically significant improvement was observed in oral hygiene (plaque index) after training patients with visual pedagogy. CONCLUSION: In the present study, the use of visual pedagogy showed improvement in the oral hygiene scores of autistic children.

Cost-effective Whole Exome Sequencing discovers pathogenic variant causing Neurofibromatosis type 1 in a family from Jammu and Kashmir, India.

Neurofibromatosis type 1 (NF1) is a multisystemic hereditary disorder associated with an increased risk of benign and malignant tumor formation predominantly on the skin, bone, and peripheral nervous system. It has been reported that out of all the NF1 cases, more than 95% cases develop the disease due to heterozygous loss-of-function variants in Neurofibromin (NF1) gene. However, identification of NF1 causative variants by presently recommended method of gene-targeted Sanger sequencing is challenging and cost-intensive due to the large size of the NF1gene with 60 exons spanning about 350 kb. Further, conducting the genetic studies is difficult in low resource regions and among families with the limited financial capabilities, restricting them from availing diagnostic as well as proper disease management measures. Here, we studied a three-generation family from Jammu and Kashmir state in India, with multiple affected family members showing clinical indications of NF1. We combinedly used two applications, Whole Exome Sequencing (WES) and Sanger sequencing, for this study and discovered a nonsense variant NM_000267.3:c.2041C>T (NP_000258.1:p.Arg681Ter*) in exon 18 of NF1 gene in a cost effective manner. In silico analyses further substantiated the pathogenicity of this novel variant. The study also emphasized on the role of Next Generation Sequencing (NGS) as a cost-effective method for the discovery of pathogenic variants in disorders with known phenotypes found in large sized candidate genes. The current study is the first study based on the genetic characterization of NF1 from Jammu and Kashmir-India, highlighting the importance of the described methodology adopted for the identification and understanding of the disease in low resource region. The early diagnosis of genetic disorders would open the door to appropriate genetic counseling, reducing the disease burden in the affected families and the general population at large.