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To integrate massive amounts of heterogeneous biomedical data in biomedical ontologies and to provide more options for clinical diagnosis, this work proposes an adaptive Multi-modal Multi-Objective Evolutionary Algorithm (aMMOEA) to match two heterogeneous biomedical ontologies by finding the semantically identical concepts. In particular, we first propose two evaluation metrics on the alignment’s quality, which calculate the alignment’s statistical and its logical features, i.e., its f-measure and its conservativity. On this basis, we build a novel multi-objective optimization model for the biomedical ontology matching problem. By analyzing the essence of this problem, we point out that it is a large-scale Multi-modal Multi-objective Optimization Problem (MMOP) with sparse Pareto optimal solutions. Then, we propose a problem-specific aMMOEA to solve this problem, which uses the Guiding Matrix (GM) to adaptively guide the algorithm’s convergence and diversity in both objective and decision spaces. The experiment uses Ontology Alignment Evaluation Initiative (OAEI)’s biomedical tracks to test aMMOEA’s performance, and comparisons with two state-of-the-art MOEA-based matching techniques and OAEI’s participants show that aMMOEA is able to effectively determine diverse solutions for decision makers.

Lithium (Li) metal has attracted significant attention as next‐generation anode material owing to its high theoretical specific capacity and low potential. For enabling the practical application of Li‐metal as an anode according to energy demands, suppressing dendrite growth by controlling the Li‐ion (Li+) is crucial. In this study, metal–organic frameworks comprising bipyridinic nitrogen linker (M‐bpyN) are proposed as 3‐dimensional (3D) Li guiding matrix. The proposed approach creates ordered electronegative functional sites that enable the preoccupied Li+ in the ordered bipyridine sites to produce isotropic Li growth. The Li guiding matrix containing 3D ordered bipyridinic N sites introduces preoccupied Li+ sites that attract the Li growth direction, thereby suppressing the dendrite growth during the electrodeposition of Li. After applying the M‐bpyN layers, stable lifespan of up to 900 cycles in the Li|M‐bpyN|Cu cell and over 1500 h of operation in the Li|M‐bpyN|Li symmetric cell is achieved. Moreover, the Li|M‐bpyN|LiFePO4 configuration shows a long cycle retention of 350 cycles at 0.5 C. These results indicate that an M‐bpyN Li guiding matrix, which enables a uniform Li+ flux by 3D ordered Li+‐chelating sites, serve as a suitable host for Li+ and enhance the performance of Li‐metal electrodes. The lithium (Li) guiding matrix containing 3‐dimensional (3D) ordered bipyridinic nitrogen (N) sites introduces the uniform Li‐ion (Li+)flux from preoccupied Li+ sites attracting the Li growth direction, thus establishing the suppressed dendrite growth during the electrodeposition of Li, and the robust cycle operation of up to 900 cycle in half‐cell configuration and over 1500 h stable operation in symmetric‐cell configuration.

U okviru holističke sinteze suvremenih doktrina u ranoj razvojnoj rehabilitaciji, rehabilitacijskoj medicini, sofrologiji i rehabilitacijskim znanostima u širem smislu, prikazana je inovativna metoda analitičko-sinestezijske stimulacije (protokoli za terapiju i evaluaciju) u cilju funkcionalne psihomotorne reedukacije djeteta s cerebralnom paralizom u četiri studije slučaja. Definirana je polazna hipoteza prema kojoj selektivne perceptivno-motoričke i glazbeno-ritmičke stimulacije utječu na razvoj neuroloških lančanih reakcija (neurological chain reactions) u sljedećim područjima: a) razvoj samoinduciranog pokreta; b) aktivnost voljnog kretanja i c) doživljaj estetskog užitka u subjekta. Analiza tendencija promjena u prostorno-vremenskoj orijentaciji, usklađivanju posture i pokreta, te voljnoj grafomotornoj aktivnosti (u okviru kontrolne i eksperimentalne procedure istraživanja), provedena je na osnovi 36 kontroliranih varijabli, te kompleksne informatičko - statističke analize (INDIFF). U svrhu procjene korišteni su mjerni instrumenti Gibsonov spiralni labirint, Beery test vizuomotorne integracije i Analitičko sinestezijska matrica za vođenje pokreta. Istraživanje je provedeno kroz 11-17 točaka procjene. Rezultati pokazuju značajne promjene kod svih ispitanika na varijablama vizuomotorne integracije Beery testa te varijablama grafomotorne reprodukcije kruga i kvadrata nakon primjene terapijskog programa, te je konstatirana vrijednost koncipiranog kliničkog modela analitičkosinestezijske metode uz primjenu selektivnih perceptivno-motoričkih i glazbeno-ritmičkih stimulacija u grafomotornoj aktivnosti djeteta s cerebralnom paralizom.

The decellularized extracellular matrix (dECM) is capable of promoting stem cell proliferation, migration, adhesion, and differentiation. It is a promising biomaterial for application and clinical translation in the field of periodontal tissue engineering as it most effectively preserves the complex array of ECM components as they are in native tissue, providing ideal cues for regeneration and repair of damaged periodontal tissue. dECMs of different origins have different advantages and characteristics in promoting the regeneration of periodontal tissue. dECM can be used directly or dissolved in liquid for better flowability. Multiple ways were developed to improve the mechanical strength of dECM, such as functionalized scaffolds with cells that harvest scaffold-supported dECM through decellularization or crosslinked soluble dECM that can form injectable hydrogels for periodontal tissue repair. dECM has found recent success in many periodontal regeneration and repair therapies. This review focuses on the repairing effect of dECM in periodontal tissue engineering, with variations in cell/tissue sources, and specifically discusses the future trend of periodontal regeneration and the future role of soluble dECM in entire periodontal tissue regeneration.

Cell cultures aiming at tissue regeneration benefit from scaffolds with physiologically relevant elastic moduli to optimally trigger cell attachment, proliferation and promote differentiation, guidance and tissue maturation. Complex scaffolds designed with guiding cues can mimic the anisotropic nature of neural tissues, such as spinal cord or brain, and recall the ability of human neural progenitor cells to differentiate and align. This work introduces a cost-efficient gelatin-based submicron patterned hydrogel–fiber composite with tuned stiffness, able to support cell attachment, differentiation and alignment of neurons derived from human progenitor cells. The enzymatically crosslinked gelatin-based hydrogels were generated with stiffnesses from 8 to 80 kPa, onto which poly(ε-caprolactone) (PCL) alignment cues were electrospun such that the fibers had a preferential alignment. The fiber–hydrogel composites with a modulus of about 20 kPa showed the strongest cell attachment and highest cell proliferation, rendering them an ideal differentiation support. Differentiated neurons aligned and bundled their neurites along the aligned PCL filaments, which is unique to this cell type on a fiber–hydrogel composite. This novel scaffold relies on robust and inexpensive technology and is suitable for neural tissue engineering where directional neuron alignment is required, such as in the spinal cord.

This research investigates the stability of a two-wheeled vehicle model on the basis of numerical determination of full range of eigenvalues of a linear approximation matrix in the vicinity of the rectilinear driving mode. The received result was checked by numerical integration of the initial equations system of the disturbed motion of the model. The discrepancy of two research techniques is explained by the specialty of the considered mathematical model in which two pairs of complex conjugate eigenvalues close to each other are realized, that explains the emergence of standard derivations at calculating their numerical determination. The model is asymptotically stable in the range much wider than an operational interval (up to 100 m/s). In order to provide more intensive dampening of initial disturbances, it is possible to introduce additional resilient and damping elements between the trucks and the body in the design of the wheeled vehicle that will counteract the yaw mode of trucks.

This review concentrates on findings described in the recent literature on the response of cells and tissues to electromagnetic fields (EMF). Models of the causal interaction between different forms of EMF and ions or biomolecules of the cell will be presented together with our own results in cell surface recognition. Naturally occurring electric fields are not only important for cell-surface interactions but are also pivotal for the normal development of the organism and its physiological functions. A further goal of this review is to bridge the gap between recent cell biological studies (which, indeed, show new data of EMF actions) and aspects of EMF-based therapy, e.g., in wounds and bone fractures.

There are 12 guiding principles that serve as guideposts when developing a Monetization Strategy. One of the principles, Be Specific and Be Holistic, discusses the importance of narrowing the scope of your strategy to make it executable by and compatible with the broader organization through acknowledging constraints, being collaborative, and aligning to the overall corporate goals of your company. The next principle, Actionable, is focused on the ability of the strategy to be executable. Decision Matrix, Grounded in Data Science, Monetary Value, Confidence Factor, and Measurable focus on the ability to leverage Data Science and Decision Theory when developing your strategy. Finally, the topics of Motivation, Organizational Culture, and Innovation center on the adoption of the strategy within the organization.

An example of using the Decision Architecture methodology to develop a Monetization Strategy related to Product Profitability. The chapter begins with identifying the business opportunity and working through the applicable Business Levers. We describe the Decision Analysis requirements process to build the foundation for the questions, decisions, actions, and metrics that drive the business opportunity. We layer in Data Science along with a Decision Matrix to help form the action levers available to drive improvement. Finally, we ground the strategy with the Monetization Guiding Principles to ensure we have developed a sound and scalable Monetization Strategy.