Publications by authors named "N Ogihara"

The asymmetric unit of the title compound, [Co(CBrO)(CHN)(HO)] or [Co(Brbdc)(im)(HO)] , comprises half of Co ion, tetra-bromo-benzene-dicarboxylate (Brbdc), imidazole (im) and a water mol-ecule. The Co ion exhibits a six-coordinated octa-hedral geometry with two oxygen atoms of the Brbdc ligand, two oxygen atoms of the water mol-ecules, and two nitro-gen atoms of the im ligands. The carboxyl-ate group is nearly perpendicular to the benzene ring and shows monodentate coordination to the Co ion.

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Introduction/aims: VAChT-Cre is a transgenic mouse line targeting slow-twitch fatigue-resistant and fast-twitch fatigue-resistant motor neurons that innervate oxidative type I and type IIa muscle fibers. To ablate these neurons, VAChT-Cre mice were crossbred with NSE-DTA mice, leading to the expression of diphtheria toxin A after Cre-mediated excision. The resulting VAChT-Cre;NSE-DTA mice exhibited motor deficits, abnormal locomotion, muscular atrophy, and tremor, making them a useful model for studying motor neuron physiology and pathology.

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Understanding the mechanism underlying the evolution of knuckle-walking in African great apes but not in humans may provide important implications about the origin and evolution of human bipedal locomotion. In this study, aiming to reveal possible structural adaptations of the chimpanzee's forearm and hand musculature related to knuckle-walking, we measure the passive elastic moment of the chimpanzee's and orangutan's wrist as it was rotated into extension, immobilizing the metacarpophalangeal joint at three different positions: extended (as in knuckle-walking), flexed (as in fist-walking), and an intermediate position. Our findings demonstrate that when the metacarpophalangeal joints are extended, the rigidity of the wrist joint in the extended direction increases.

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The human foot is a complex structure comprising 26 bones, whose coordinated movements facilitate proper deformation of the foot, ensuring stable and efficient locomotion. Despite their critical role, the kinematics of foot bones during movement remain largely unexplored, primarily due to the absence of non-invasive methods for measuring foot bone kinematics. This study addresses this gap by proposing a neural network model for estimating foot bone movements using surface markers.

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