New Method For Integration Research Articles

Empowering the discovery of novel target-disease associations via machine learning approaches in the open targets platform

BackgroundThe Open Targets (OT) Platform integrates a wide range of data sources on target-disease associations to facilitate identification of potential therapeutic drug targets to treat human diseases. However, due to the complexity that targets are usually functionally pleiotropic and efficacious for multiple indications, challenges in identifying novel target to indication associations remain. Specifically, persistent need exists for new methods for integration of novel target-disease association evidence and biological knowledge bases via advanced computational methods. These offer promise for increasing power for identification of the most promising target-disease pairs for therapeutic development. Here we introduce a novel approach by integrating additional target-disease features with machine learning models to further uncover druggable disease to target indications.ResultsWe derived novel target-disease associations as supplemental features to OT platform-based associations using three data sources: (1) target tissue specificity from GTEx expression profiles; (2) target semantic similarities based on gene ontology; and (3) functional interactions among targets by embedding them from protein–protein interaction (PPI) networks. Machine learning models were applied to evaluate feature importance and performance benchmarks for predicting targets with known drug indications. The evaluation results show the newly integrated features demonstrate higher importance than current features in OT. In addition, these also show superior performance over association benchmarks and may support discovery of novel therapeutic indications for highly pursued targets.ConclusionOur newly generated features can be used to represent additional underlying biological relatedness among targets and diseases to further empower improved performance for predicting novel indications for drug targets through advanced machine learning models. The proposed methodology enables a powerful new approach for systematic evaluation of drug targets with novel indications.

Advancing digital patient-centered measurement methods for team-based care.

To conceptualize new methods for integrating patient-centered measurement into team-based care. A standalone portal was introduced into a rural clinic to support conceptualization of new methods for integration of patient-centered measurement in team-based care. The portal housed mental health-related online resources, three patient-reported measures and a self-action plan. Six providers and four patients used the portal for four months. Our data collection techniques included clinic discussions, one-on-one interviews, workflow diagrams and data generated through the portal. Analysis was supported through coding interview transcripts, looking across multiple sources of research data and research team discussions. Our research team conceptualized five team-based patient-centered measurement methods through this study. Patient-centered measurement Team Mapping offfers a technique to provide greater clarity of care-team roles and responsibilities in data collected through patient-centered measurement. Longitudinal Care Alignment can guide the care-team on incorporating patient-centered measurement into ongoing provider-patient interactions. Digital Tool Exploration can be used to evaluate a team's readiness toward digital tool adoption, and the impact of these tools. Team-based quality improvement serves as a framework for engaging teams in patient-centered quality improvement. Shared learning is a method that promotes patientprovider interactions that validate patient's perspectives of their care. The portal illuminated new methods for the integration of patient-centered measurement in team-based care. The first three proposed patient-centered measurement methods provides ways to assess how a clinic can incorporate patient-centered measurement methods into team-based care. The latter two methods focus on the aim of patient-generated data in which patient's values and perspectives are represented and quality of patient-centered care can be evaluated. Further testing is needed to assess the utility of these patient-centered measurement methods across different clinical settings and domains.

Review on the Integration of Microelectronics for E-Textile.

Modern electronic textiles are moving towards flexible wearable textiles, so-called e-textiles that have micro-electronic elements embedded onto the textile fabric that can be used for varied classes of functionalities. There are different methods of integrating rigid microelectronic components into/onto textiles for the development of smart textiles, which include, but are not limited to, physical, mechanical, and chemical approaches. The integration systems must satisfy being flexible, lightweight, stretchable, and washable to offer a superior usability, comfortability, and non-intrusiveness. Furthermore, the resulting wearable garment needs to be breathable. In this review work, three levels of integration of the microelectronics into/onto the textile structures are discussed, the textile-adapted, the textile-integrated, and the textile-based integration. The textile-integrated and the textile-adapted e-textiles have failed to efficiently meet being flexible and washable. To overcome the above problems, researchers studied the integration of microelectronics into/onto textile at fiber or yarn level applying various mechanisms. Hence, a new method of integration, textile-based, has risen to the challenge due to the flexibility and washability advantages of the ultimate product. In general, the aim of this review is to provide a complete overview of the different interconnection methods of electronic components into/onto textile substrate.

Integration method of non-elementary exponential functions using iterated Fubinni integrals

The present work presents a new method of integration of non-elementary exponential functions where Fubinni's iterated integrals were used. In this research, some approximations were used in order to generalize the results obtained through mathematical series, in addition to integration methods and double integrals. In addition to the integration methods, the Taylor series was used, where the value found and compatible with the values ​​of the power series that are used to calculate the value of the exponential function demonstrated in the work was verified. In addition to the methods described, a comparison of the values ​​obtained by the series and the values ​​described in the method was improvised, where it was noticed that the higher the value of the variable, the closer the results show a stability for the variable greater than the value 4, described in table 01. The conclusions point to a great improvement, mainly for solving elliptic differential equations and statistical functions.

The Influence of BYOD Concept on Development of Learning Process in Universities

Education is one of the largest markets promoting implementation of Bring Your Own Device BYOD. The BYOD model was originated in colleges and universities, being stimulated by technologically advanced students, who demanded it, and administrators of educational entities, who agreed that allowance to get access to the network using personal devices was a competitive advantage. Nowadays this concept attracts great attention. People depend on their personal devices and want to have the opportunity to use them anywhere in order to make their life simpler and more efficient. While BYOD implementation increases, teachers determine new methods of integration of mobile devices into learning. The use of personal mobile devices of students for learning seems to be attractive for universities, since these devices would help to reduce expenses and to support teaching and learning. The research objective: to detect the level of influence of BYOD concept on learning process. In the conclsuoins authors confirm that BYOD is the dominant model in universities.

Micro Motion Amplification–A Review

Many motion-active materials have recently emerged, with new methods of integration into actuator components and systems-on-chip. Along with established microprocessors, interconnectivity capabilities and emerging powering methods, they offer a unique opportunity for the development of interactive millimeter and micrometer scale systems with combined sensing and actuating capabilities. The amplification of nanoscale material motion to a functional range is a key requirement for motion interaction and practical applications, including medical micro-robotics, micro-vehicles and micro-motion energy harvesting. Motion amplification concepts include various types of leverage, flextensional mechanisms, unimorphs, micro-walking /micro-motor systems, and structural resonance. A review of the research state-of-art and product availability shows that the available mechanisms offer a motion gain in the range of 10. The limiting factor is the aspect ratio of the moving structure that is achievable in the microscale. Flexures offer high gains because they allow the application of input displacement in the close vicinity of an effective pivotal point. They also involve simple and monolithic fabrication methods allowing combination of multiple amplification stages. Currently, commercially available motion amplifiers can provide strokes as high as 2% of their size. The combination of high-force piezoelectric stacks or unimorph beams with compliant structure optimization methods is expected to make available a new class of high-performance motion translators for microsystems.

New Methods for the Implementation of Joint Investment and Innovation Projects in Developed and Developing Countries: Experience of the Republic of Kazakhstan and the Russian Federation

The primary purpose of the research is to develop new scientific approaches to the implementation of joint innovation and investment projects in the framework of cooperation between developing countries on the example of the Republic of Kazakhstan and the Russian Federation. The methodology of the study included the use of a system of methods: the analytical and induction methods, hypothesis and the synthesis method. As part of the analytical and induction methods, the general theory of investment projects implemented by business entities of two or more countries was investigated. When considering the theory of investment and innovation projects, the following aspects were studied: basic fundamental attributes of project implementation; modelling of investment and innovation projects; modelling of the development of cross-country investment and innovation projects with the participation of two or more countries; factors influencing the effectiveness of cross-country investment and innovation projects. The study focused on the impact of investment and innovation projects on the economic growth of developing countries. Based on the results obtained using the analytical method, the general problems of intensification of investment projects were developed. Based on the identified problems, the method of hypothesis formulation was applied, which allowed formulating postulates on the application of several new methods of integration and economic cooperation of the states. The findings of the research allow in developing a new economic policy of cooperation of developing and, in some aspects, developed countries and applying it in practice in the conditions of increasing global competition.

RESIDENTIAL BUILDINGS BY GIUSEPPE TERRAGNI IN COMO: PROPOSALS FOR INTEGRATION BETWEEN RESEARCH, COMMUNICATION AND VALORISATION OF HERITAGE

Abstract. This essay presents a proposal concerning the residential buildings of Giuseppe Terragni in the urban area of Como, based on the research activity which has been ongoing in the last few years and the related experiences which have been elaborated up to now to manage, represent and communicate the studies carried out. A new method of integration between research, communication and enhancement is presented with the aim to obtain a synthetic and immersive representation. Two case studies, in particular, are presented: the building for apartments Novocomum and “Case Popolari” in Via Anzani. The paper describes the methodology used, and its purpose, to create a virtual tour of the atrium of Novocomum and common areas of Case Popolari which allows the user to visit the spaces moving inside high definition full spherical immersive images and to consult punctual information referring to heterogeneous historical documents, providing a useful tool in order to study these architectures and contributing to the knowledge and enhancement of this architectural heritage.

Propulsive Efficiency of Ridge/Inlet Configuration

Controlling and directing the boundary layer on the surfaces of a flight vehicle are two of the most demanding challenges in advanced aerodynamic designs. The design of highly integrated and submerged inlets with a large offset between the entrance and compressor face is particularly challenging because of the need for controlling or reducing the adverse effects of the boundary layer on propulsive efficiency. S-duct diffusers are used widely in flight vehicles when the compressor face needs to be hidden, and their performance is generally sensitive to the quality of ingested boundary layer from the fuselage. Passive or active flow control mechanisms are needed to prevent flow separations at the bends. In this paper, a new method is presented for optimal inlet/body integration based on a pair of ridges ahead of the inlet and its effects on the performance of a semicircular S-duct inlet integrated on a flat surface using CFD. In this design, the ridge changes an inefficient inlet concept to one with acceptable performance. The new method of integration is practicable for top-mounted inlet configurations where the use of diverters and other mechanisms results in higher amounts of drag, weight, and complexity.

Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes.

In this letter, we present a new method for integration of sensor-based multifrequency bands of electroencephalography and magnetoencephalography data sets into a voxel-based structural-temporal magnetic resonance imaging analysis by utilizing the general joint estimation using entropy regularization (JESTER) framework. This allows enhancement of the spatial-temporal localization of brain function and the ability to relate it to morphological features and structural connectivity. This method has broad implications for both basic neuroscience research and clinical neuroscience focused on identifying disease-relevant biomarkers by enhancing the spatial-temporal resolution of the estimates derived from current neuroimaging modalities, thereby providing a better picture of the normal human brain in basic neuroimaging experiments and variations associated with disease states.

EXPANSÃO URBANA (DES)ORDENADA E SEUS EMBATES SOCIOAMBIENTAIS: o caso do município de Horizonte, estado do Ceará.

The municipality of Horizonte, located in the Metropolitan Region of Fortaleza – MRF spent the last 26 years by intense changes in their spatial configuration and in its environmental conditions, in order to separate two horizons, but connected, that outlined before and after the logic of industrialization. Thus, aimed to evaluate the territorial municipality of Horizonte, from new methods of integration and systematization of data and information by analyzing environmental. In order to quantify the urban sprawl in the years 1987, 1996, 2000, 2006 and 2010, multitemporal analysis was performed from TM/Landsat-5. In this perspective, a research has addressed, yet, historical factors that justify the use of space, well as aspects of its socioeconomic, population and its implications for environmental sanitation.

Steric and electrostatic effects on photoisomerization dynamics using QM/MM ab initio multiple spawning

Photoisomerization of conjugated systems is a common pathway for photomechanical energy conversion in biological chromophores. There are many examples where the local environment of the chromophore plays an important role in determining the outcome of photoisomerization. We have investigated the effect of simple steric and electrostatic environments on the excited-state photodynamics of ethylene, a simple model for larger conjugated systems. Ab initio electronic structure methods were combined with molecular mechanical force fields to describe the ground and excited-state potential energy surfaces of ethylene embedded in electrostatic and steric environments. The time evolution of the system following photoabsorption was modeled using the ab initio multiple spawning (AIMS) method for quantum dynamics. We introduce a new method for integration of the equations of motion in AIMS, which detects conical intersections automatically and then decreases the timestep adaptively around them. Neither steric hindrance nor electrostatics have a large effect on the excited-state lifetime, even at effective pressures as large as 2 GPa. However, a nearby point charge creates an electric field that stabilizes one of two symmetry-related conical intersections, biasing the reaction toward a particular photoisomerization pathway. For the larger tetramethylethylene, where steric hindrance is expected to be more pronounced, we also see no effect on the excited-state lifetime. Our results suggest that electrostatic interactions are more effective than steric hindrance in modifying the course of excited-state reactions.

The weak McShane integral

We present a weaker version of the Fremlin generalized McShane integral (1995) for functions defined on a σ-finite outer regular quasi Radon measure space (S,Σ, T, µ) into a Banach space X and study its relation with the Pettis integral. In accordance with this new method of integration, the resulting integral can be expressed as a limit of McShane sums with respect to the weak topology. It is shown that a function f from S into X is weakly McShane integrable on each measurable subset of S if and only if it is Pettis and weakly McShane integrable on S. On the other hand, we prove that if an X-valued function is weakly McShane integrable on S, then it is Pettis integrable on each member of an increasing sequence (S l ) l⩾1 of measurable sets of finite measure with union S. For weakly sequentially complete spaces or for spaces that do not contain a copy of c 0, a weakly McShane integrable function on S is always Pettis integrable. A class of functions that are weakly McShane integrable on S but not Pettis integrable is included.

Electronic Laboratory Notebooks Progress and Challenges in Implementation

Electronic laboratory notebooks (ELNs) are increasingly replacing paper notebooks in life science laboratories, including those in industry, academic settings, and hospitals. ELNs offer significant advantages over paper notebooks, but adopting them in a predominantly paper-based environment is usually disruptive. The benefits of ELN increase when they are integrated with other laboratory informatics tools such as laboratory information management systems, chromatography data systems, analytical instrumentation, and scientific data management systems, but there is no well-established path for effective integration of these tools. In this article, we review and evaluate some of the approaches that have been taken thus far and also some radical new methods of integration that are emerging.

A computational method using multiresolution for volumetric data integration

Abstract In this paper, we present a new method for integration of 3-D medical data by utilizing the advantages of 3-D multiresolution analysis and techniques of variational calculus. We first express the data integration problem as a variational optimal control problem where we express the displacement field in terms of wavelet expansions and, secondly, we write the components of the displacement field in terms of wavelet coefficients. We solve this optimization problem with a blockwise descent algorithm. We demonstrate the registration of 3-D brain MR images in the size of 257 × 257 × 65 as an application of the present method. Experimental results indicate that the method can integrate 3-D MR images better than only variational or only wavelet-based methods. MSC: 68U10, 65D18, 65J05, 97N40.

Bedeutung der Hypoxiebildgebung mit PET für die Bestrahlungsplanung

Tumorhypoxie ist ein wesentlicher prognostischer Faktor bei der Strahlentherapie von verschiedenen malignen Tumoren. Zur nichtinvasiven Bildgebung einer Tumorhypoxie wurden in den letzten Jahren mehrere viel versprechende Tracer für die Positronen-Emissions-Tomografie (PET) entwickelt, die die invasiven Messungen mittels pO2-Histografen ersetzen sollen. Bis jetzt hat sich jedoch keiner dieser Tracer für die klinische Routine der Bestrahlungsplanung durchsetzen können, obwohl die Datenlage eine Eignung dieser Tracer zur Darstellung von Gewebehypoxie nahe legt. Die bisher mangelnde Akzeptanz der Hypoxie-PET ist sicher bedingt durch ein im Vergleich zu anderen PET-Tracern eher ungünstiges Verhältnis des Tumor- zu Hintergrundsignals, was eine Abgrenzung von Tumoren und eine Einbindung in eine Bestrahlungsplanung erschwert. Zudem ist noch unklar, inwieweit verschiedene Hypoxiephasen (akut bei temporärer Gefäßokklusion oder chronisch durch Diffusionsdistanz) mit welchen diagnostischen Schritten abgebildet werden und welche therapeutischen Konsequenzen sie erfordern. Neue methodische Ansätze wurden entwickelt, die eine Integration von differenziert akquirierten PET-Daten in eine intensitätsmodulierte Strahlentherapie (IMRT) ermöglichen.

Integration of conducting polymer network in non-conductive polymer substrates

A new method for integration of conjugated, inherently conducting polymers into non-conductive polymer substrates has been developed. A layer of the conducting polymer is polymerised by chemical oxidation, e.g. using Fe(III) p-toluene sulfonate (ferri tosylate) followed by washing with a solvent which simultaneously removes residual and spent oxidant and at the same time dissolves the top layer of the polymer substrate. This results in an integration of the conducting polymer into the surface layers of the polymer substrate. Several combinations of conducting polymers and substrates have been tested, with particular focus on poly(3,4-ethylenedioxythiophene) (PEDOT) on PMMA substrates. The structural, electrical and mechanical properties of this system has been characterised by atomic force microscopy, conductance measurements, and tribological tests. Furthermore, measurement of conductivity and optical absorption during sequential reactive ion etching has allowed for analysis of the PEDOT distribution within the surface layer of the PMMA substrate. The surface resistance of the conducting polymer layer remains low while the surface layer at the same time adapts some of the mechanical properties of the substrate, resulting in a highly conducting surface with very good wear resistance.

The comparison of characteristics and opportunities of future service in microwave band and mobile systems third generation

The importance and very quick development of telecommunications ask for endless research and applying new services and new methods of integration and switching in it. Among commercial radio services that are at the moment accessible in our state, the most significant pan is from public mobile telephony system. In this work we presented organization and way of functioning of mobile switching system and their place and importance in Serbian system of communications. WiMAX service of mobile telephony is processed in details and advantages and disadvantages versus 3G mobile service are analyzed. The suggestion of implementation of WiMAX in modern system of telecommunications is given. .

Capability Indices Dedicated to the Two Quality Characteristics Case

The aim of this paper is to define two new capability indices BCP and BCPK dedicated to two quality characteristics, assuming a bivariate normal distribution and a rectangular tolerance region. These new capability indices are based on the computation of the theoretical proportion of non-conforming products over convex polygons. This computation is achieved by a new method of integration based on Green’s formula. The efficiency of the proposed capability indices is demonstrated by comparing our approach with others proposed previously, on simulated and real world industrial examples.

Invariant Lagrangians and a new method of integration of nonlinear equations

A method for solving the inverse variational problem for differential equations admitting a Lie group is presented. The method is used for determining invariant Lagrangians and integration of second-order nonlinear differential equations admitting two-dimensional noncommutative Lie algebras. The method of integration suggested here is quite different from Lie's classical method of integration of second-order ordinary differential equations based on canonical forms of two-dimensional Lie algebras. The new method reveals existence and significance of one-parameter families of singular solutions to nonlinear equations of second order.