Ab initio Quantum Chemistry Methods for Modeling Molecular Excited States Beyond Configuration Interaction Singles

Electron transfer and energy transfer play a central role in photo-induced excited state chemical dynamics and are critical for understanding the fundamental processes in photosynthesis. Understanding electron and energy transfer at the molecular level is essential, since they must compete with deactivation processes back to the molecular ground state-- and deactivation releases any captured energies as wasted heat. Modeling electronic relaxation process is very challenging, however, for 2 reasons: i) Obtaining accurate potential energy surfaces (PESs) by solving the electronic Hamiltonian (only) is nontrivial, since all electrons are coupled together, which is essentially a many-body problem. It is even more difficult in the context of photochemistry, where the relevant molecules are typically big; ii) The Born-Oppenheimer Approximation of separating electronic and nuclear motion may be invalid, and thus one has to model nonadiabatic dynamics. This thesis is focused on the first problem above, i.e. solving the electronic Hamiltonian, where there is currently a lack of effective ab initio quantum chemistry methods, especially in the presence of charge transfer (CT) states. Historically Configuration Interaction Singles (CIS) has been the standard method for modeling electronic excited states with qualitatively correct wavefunctions, but CIS is highly biased against charge transfer states-- which are very important for modeling photo-induced relaxation. Nevertheless, in this thesis, CIS proves to be a good starting point for improved ab initio quantum chemistry methods, that build in the correct molecular orbital optimization. These algorithms are labeled as: i) Orbital Optimized Configuration Interaction Singles (OO-CIS), ii) Variational Orbital Adapted Configuration Interaction Singles (VOA-CIS), and iii) Fully Variational Orbital Adapted Configuration Interaction Singles (FVOA-CIS). Each of the three algorithms above represents an improvement upon its predecessor. i) OOCIS is able to recover perturbative corrections for CT states; ii) its variational extension VOA-CIS proves to be very effective for constructing globally smooth adiabatic PESs even with CT states; and iii) because it is fully variational, FVOA-CIS PESs are so smooth that it should allow analytic gradients. We believe these approaches will be widely used for future accurate electronic structure calculations

Knee loading protects against osteonecrosis of the femoral head by enhancing vessel remodeling and bone healing

Osteonecrosis of the femoral head is a serious orthopedic problem. Moderate loads with knee loading promote bone formation, but their effects on osteonecrosis have not been investigated. Using a rat model, we examined a hypothesis that knee loading enhances vessel remodeling and bone healing through the modulation of the fate of bone marrow-derived cells. In this study, osteonecrosis was induced by transecting the ligamentum teres followed by a tight ligature around the femoral neck. For knee loading, 5 N loads were laterally applied to the knee at 15 Hz for 5 min/day for 5 weeks. Changes in bone mineral density (BMD) and bone mineral content (BMC) of the femur were measured by pDEXA, and ink infusion was performed to evaluate vessel remodeling. Femoral heads were harvested for histomorphometry, and bone marrow-derived cells were isolated to examine osteoclast development and osteoblast differentiation. The results showed that osteonecrosis significantly induced bone loss, and knee loading stimulated both vessel remodeling and bone healing. The osteonecrosis group exhibited the lowest trabecular BV/TV (p b 0.001) in the femoral head, and lowest femoral BMD and BMC (both p b 0.01). However, knee loading increased trabecular BV/TV (p b 0.05) as well as BMD (pb 0.05) and BMC (p b 0.01). Osteonecrosis decreased the vessel volume (pb 0.001), vessel number (pb 0.001) and VEGF expression (p b 0.01), and knee loading increased them (pb 0.001, pb 0.001 and p b 0.01). Osteonecrosis activated osteoclast development, and knee loading reduced its formation, migration, adhesion and the level of “pit” formation (pb 0.001, pb 0.01, pb 0.001 and pb 0.001). Furthermore, knee loading significantly increased osteoblast differentiation and CFU-F (both p b 0.001). A significantly positive correlation was observed between vessel remodeling and bone healing (both p b 0.01). These results indicate that knee loading could be effective in repair osteonecrosis of the femoral head in a rat model. This effect might be attributed to promoting vessel remodeling, suppressing osteoclast development, and increasing osteoblast and fibroblast differentiation. In summary, the current study suggests that knee loading might potentially be employed as a non-invasive therapy for osteonecrosis of the femoral head

Communication: Adjusting charge transfer state energies for configuration interaction singles: Without any parameterization and with minimal cost

In a recent article, we showed that configuration interaction singles (CIS) has a systematic bias against charge-transfer (CT) states: CT vertical excitation energies are consistently too high (by 1-2 eV) as compared with non-CT energies [J. E. Subotnik, J. Chem. Phys. 137, 071104 (2011)]. We now show that this CIS error can be corrected approximately by performing a single Newton- Raphson step to reoptimize orbitals, thus establishing a new set of orbitals which better balances ground and excited state energies. The computational cost of this correction is exactly that of one coupled-perturbed Hartree-Fock calculation, which is effectively the cost of the CIS calculation itself. In other words, for twice the computational cost of a standard CIS calculation, or roughly the same cost as a linear-response time-dependent Hartree-Fock calculation, one can achieve a balanced, size-consistent description of CT versus non-CT energies, ideally with the accuracy of a much more expensive doubles CIS(D) calculation

Effects of knee loading on obesity‐related nonalcoholic fatty liver disease in an ovariectomized mouse model with high fat diet

Aim Hormonal and nutritional disorders are the main causes of obesity and nonalcoholic fatty liver disease, especially in the elderly and postmenopausal women. Although physical activity may alleviate these disorders, the elderly may often have difficulty in conducting physical exercise. The purpose of this study was to investigate the therapeutic effect of knee loading, a new form of physical stimulation, on the symptom of obesity and fatty liver. Methods Using ovariectomized mice with high fat diet, we evaluated the effect of knee loading that applies gentle cyclic loads to the knee. Female C57BL/6 mice were divided into five groups: control (SCD), high fat diet (HF), HF with loading (HF+L), HF with ovariectomy (HF+OVX), and HF+OVX with loading (HF+OVX+L). Except for SCD, mice underwent sham operation or ovariectomy and maintained on high fat diet. After 6 weeks, the mice in HF+L and HF+OVX+L were treated with 6‐week knee loading. Results Compared to the obesity groups (HF and HF+OVX), knee loading significantly decreased a gain in body weight, liver weight, and white adipose tissue (all P<0.01). It also reduced the lipid level in the serum (P<0.01) and histological severity of hepatic steatosis (P<0.01). Furthermore, knee loading downregulated biomarkers related to the endoplasmic reticulum stress (GRP78, p‐eIF2α and ATF4) and altered biomarkers in autophagy (LC3 and p62). Conclusions Knee loading suppressed obesity‐associated metabolic alterations and hepatic steatosis, the effect with knee loading might be associated with suppression of the ER stress and promotion of autophagy

Maximizing the relationship of yield to site-specific management zones with object-oriented segmentation of hyperspectral images

Quick and low cost delineation of site-specific management zones (SSMZ) would improve applications of precision agriculture. In this study, a new method for delineating SSMZ using object-oriented segmentation of airborne imagery was demonstrated. Three remote sensing domains—spectral, spatial, and temporal- are exploited to improve the SSMZ relationship to yield. Common vegetation indices (VI), and first and second derivatives ([Formula: see text], [Formula: see text]) from twelve airborne hyperspectral images of a cotton field for one season [Formula: see text] were used as input layers for object-oriented segmentation. The optimal combination of VI, SSMZ size and crop phenological stage were used as input variables for SSMZ delineation, determined by maximizing the correlation to segmented yield monitor maps. Combining narrow band vegetation indices and object-oriented segmentation provided higher correlation between VI and yield at SSMZ scale than that at pixel scale by reducing multi-resource data noise. VI performance varied during the cotton growing season, providing better SSMZ delineation at the beginning and middle of the season (days after planting (DAP) 66–143).The optimal scale determined for SSMZ delineation was approximately 240 polygons for the study field, but the method also provided flexibility enabling the setting of practical scales for a given field. For a defined scale, the optimal single phenological stage for the study field was near July 11 (DAP 87) early in the growing season. SSMZs determined from multispectral VIs at a single stage were also satisfactory; compared to hyperspectral indices, temporal resolution of multi-spectral data seems more important for SSMZ delineation

Knee loading inhibits osteoclast lineage in a mouse model of osteoarthritis

Osteoarthritis (OA) is a whole joint disorder that involves cartilage degradation and periarticular bone response. Changes of cartilage and subchondral bone are associated with development and activity of osteoclasts from subchondral bone. Knee loading promotes bone formation, but its effects on OA have not been well investigated. Here, we hypothesized that knee loading regulates subchondral bone remodeling by suppressing osteoclast development, and prevents degradation of cartilage through crosstalk of bone-cartilage in osteoarthritic mice. Surgery-induced mouse model of OA was used. Two weeks application of daily dynamic knee loading significantly reduced OARSI scores and CC/TAC (calcified cartilage to total articular cartilage), but increased SBP (subchondral bone plate) and B.Ar/T.Ar (trabecular bone area to total tissue area). Bone resorption of osteoclasts from subchondral bone and the differentiation of osteoclasts from bone marrow-derived cells were completely suppressed by knee loading. The osteoclast activity was positively correlated with OARSI scores and negatively correlated with SBP and B.Ar/T.Ar. Furthermore, knee loading exerted protective effects by suppressing osteoclastogenesis through Wnt signaling. Overall, osteoclast lineage is the hyper responsiveness of knee loading in osteoarthritic mice. Mechanical stimulation prevents OA-induced cartilage degeneration through crosstalk with subchondral bone. Knee loading might be a new potential therapy for osteoarthritis patients