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1
CAN, TOLGA, and YUAN-FANG WANG. "PROTEIN STRUCTURE ALIGNMENT AND FAST SIMILARITY SEARCH USING LOCAL SHAPE SIGNATURES." Journal of Bioinformatics and Computational Biology 02, no. 01 (2004): 215–39. http://dx.doi.org/10.1142/s0219720004000533.
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We present a new method for conducting protein structure similarity searches, which improves on the efficiency of some existing techniques. Our method is grounded in the theory of differential geometry on 3D space curve matching. We generate shape signatures for proteins that are invariant, localized, robust, compact, and biologically meaningful. The invariancy of the shape signatures allows us to improve similarity searching efficiency by adopting a hierarchical coarse-to-fine strategy. We index the shape signatures using an efficient hashing-based technique. With the help of this technique we screen out unlikely candidates and perform detailed pairwise alignments only for a small number of candidates that survive the screening process. Contrary to other hashing based techniques, our technique employs domain specific information (not just geometric information) in constructing the hash key, and hence, is more tuned to the domain of biology. Furthermore, the invariancy, localization, and compactness of the shape signatures allow us to utilize a well-known local sequence alignment algorithm for aligning two protein structures. One measure of the efficacy of the proposed technique is that we were able to perform structure alignment queries 36 times faster (on the average) than a well-known method while keeping the quality of the query results at an approximately similar level.
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Uyun, Qurotul. "Imitation vs Innovation: Is there an alignment between supply chain organizational learning and Islamic HRM practices?" HOLISTICA – Journal of Business and Public Administration 10, no. 3 (2019): 143–56. http://dx.doi.org/10.2478/hjbpa-2019-0034.
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Abstract This research emphasizes on the importance of having an alignment of organizational strategy (innovation and imitation) with supply chain organizational learning, and Islamic HRM practices toward Batik MSMEs performance in Pekalongan, especially environmental, social, and religious performance. The population of this research is Batik MSMEs in Pekalongan, Central Java, Indonesia. Pekalongan is known as the City of Batik and has religious society that can live in peace although they live side by side with different religion and ethnicity. The respondent of this research is Batik MSMEs owner/manager in Pekalongan City that is counted using purposive sampling technique about 170 respondents. The statistic technique is using Euclidience Distance Regression. After organizational strategy being tested separately, it is proved that there is an alignment between organizational strategy both innovation and imitation with innovation organizational learning and imitation organizational learning. There is also an alignment of organizational strategy both innovation and imitation in innovation Islamic HRM Practices and conservative Islamic HRM Practices. The theoretical implication in this research provides a theory contribution about the importance of alignment of organizational strategy with the contingency of supply chain organizational learning and Islamic HRM practices. The managerial implication is that while improving organizational performance, organization needs to have practical policy in the alignment of organizational strategy with the contingency of supply chain organizational learning and Islamic HRM practices.
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Eu, Wei Cheong, Jade Pei Yuik Ho, and G. Kunalan. "Functional alignment is a feasible alignment strategy in robotic assisted total knee arthroplasty for knee osteoarthritis with extra-articular deformity – A case series." SICOT-J 11 (2025): 2. https://doi.org/10.1051/sicotj/2024059.
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Introduction: Extraarticular deformity (EAD) with knee arthritis is a complex condition involving tri-planar bone deformity with pathological malalignment and chronic soft tissue contracture or laxity in the knee joint. Intraarticular correction by TKA, which was previously performed with conventional manual jig by mechanical alignment technique, had its limits and difficulties especially extensive soft tissue release and risk of jeopardizing the collateral ligaments. Robotic technology allows for reproducible and precise execution of surgical plan and allows adjustment to various new personalised alignment philosophy including functional alignment (FA). FA technique involves the adjustment of components positioning that least compromise the soft tissue envelope while restoring the limb alignment and joint obliquity to create a balanced knee. The aim is to study the outcome of intra-articular correction by robotic assisted TKA using Functional Alignment (FA) technique. Methodology: This is a single surgeon series of 8 patients with extraarticular deformity who underwent robotic assisted total knee arthroplasty (TKA) with FA technique. Soft tissue release was gradually released and followed by adjustments of implant positioning in order to achieve a balanced medio-lateral gap. Results: Postoperatively, the lower limb alignment of all patients were restored within 6° (mean 4.54°) based on functional alignment boundaries. Knee phenotype and joint line obliquity (JLO) were restored in comparison to contralateral lower limb. There were 6 varus and 2 valgus malalignment. 7 patients were implanted with posterior stabilized implants while 1 was implanted with cruciate retaining implant. Arc of knee flexion and extension improved (P = 0.002). There was a large postoperative improvement in the Knee Society Score (KSS) (P < 0.001). Discussion: Intraarticular correction by TKA for EAD with knee arthritis is technically reliable with robotic technology. It allows intraoperative adjustment following functional alignment philosophy, thereby, restoring pre-arthritic alignment, knee phenotype and joint line obliquity.
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Prieto, Vanderli Correia, and Marly M. de Carvalho. "Can internal strategic alignment influence performance? An empirical research applying structural equation modelling." Academia Revista Latinoamericana de Administración 31, no. 3 (2018): 585–604. http://dx.doi.org/10.1108/arla-09-2016-0235.
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Purpose The purpose of this paper is to investigate the impact of internal strategic alignment (ISA) on business performance. A model is developed in which internal alignment is explained by the covariance between vertical and horizontal alignment. The perspective of business strategy implementation is adopted in order to support the theoretical relationship between the variables. Design/methodology/approach The partial least squares method, a structural equation modeling technique, is applied to estimate the model. Findings The results provide empirical validation for the model and confirm the positive relationship between internal alignment and business performance. Practical implications The ISA model is an essential aid for executives when implementing strategies and the validated research instrument can be applied for firms as a diagnosis of internal alignment in the organization. Originality/value The research contributed to meet the need for studies involving strategy implementation, as its formulation has already been emphasized, as well as to the need for models of strategic internal alignment that include activities relevant to the successful execution of the strategy, and to the need for alignment studies based on a holistic perspective.
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Peng, Yaxin, Naiwu Wen, Chaomin Shen, Xiaohuang Zhu, and Shihui Ying. "Parallel calibration based on modified trim strategy." Assembly Automation 40, no. 2 (2019): 249–56. http://dx.doi.org/10.1108/aa-06-2019-0104.
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Purpose Partial alignment for 3 D point sets is a challenging problem for laser calibration and robot calibration due to the unbalance of data sets, especially when the overlap of data sets is low. Geometric features can promote the accuracy of alignment. However, the corresponding feature extraction methods are time consuming. The purpose of this paper is to find a framework for partial alignment by an adaptive trimmed strategy. Design/methodology/approach First, the authors propose an adaptive trimmed strategy based on point feature histograms (PFH) coding. Second, they obtain an initial transformation based on this partition, which improves the accuracy of the normal direction weighted trimmed iterative closest point (ICP) method. Third, they conduct a series of GPU parallel implementations for time efficiency. Findings The initial partition based on PFH feature improves the accuracy of the partial registration significantly. Moreover, the parallel GPU algorithms accelerate the alignment process. Research limitations/implications This study is applicable to rigid transformation so far. It could be extended to non-rigid transformation. Practical implications In practice, point set alignment for calibration is a technique widely used in the fields of aircraft assembly, industry examination, simultaneous localization and mapping and surgery navigation. Social implications Point set calibration is a building block in the field of intelligent manufacturing. Originality/value The contributions are as follows: first, the authors introduce a novel coarse alignment as an initial calibration by PFH descriptor similarity, which can be viewed as a coarse trimmed process by partitioning the data to the almost overlap part and the rest part; second, they reduce the computation time by GPU parallel coding during the acquisition of feature descriptor; finally, they use the weighted trimmed ICP method to refine the transformation.
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Abdulkadir, Yusuf, Oluyomi Simpson, and Yichuang Sun. "Interference Alignment for Cognitive Radio Communications and Networks: A Survey." Journal of Sensor and Actuator Networks 8, no. 4 (2019): 50. http://dx.doi.org/10.3390/jsan8040050.
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Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.
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Darmawan, Baziedy Aditya, Rif'atul Laili Maulida, and Mochamad Nasito. "Supply Chain Performance of SMEs: The Role of Triple-A Strategy." KINERJA 25, no. 1 (2021): 91–102. http://dx.doi.org/10.24002/kinerja.v25i1.3588.
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Agility, adaptability, and alignment (henceforth referred as triple-A) are supply chain strategy that supports sustainable competitive advantage. The previous studies found that triple-A is a principle to achieve the superior supply chain performance. However, a study that investigate the triple-A of SME, especially in culinary industry is still limited. This study aims to investigate the effect of triple-A towards SME supply chain performance in culinary industry. Using convenience sampling technique, 98 SMEs were involved in this study. The results of the multiple regression analysis show that the triple-A supply chain strategy has a significant effect on supply chain performance. This finding explain that SME supply chain performance are affected by their ability in managing supply chain strategy that categorized as agility, adaptability, and alignment. This finding give an empirically supports that agility, adaptability, and alignment are antecedent variables of SME supply chain performance.Keywords: Triple-A, agility, adaptability, alignment, supply chain, performance.
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Cooke, Howard, Rianne Appel-Meulenbroek, and Theo Arentze. "Inhibitors and facilitators of corporate real estate dynamic alignment." Journal of European Real Estate Research 14, no. 2 (2021): 272–93. http://dx.doi.org/10.1108/jerer-08-2020-0048.
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Purpose This paper aims to identify the importance of individual variables in the corporate real estate (CRE) decision-making process. Design/methodology/approach Nine experts received a posed scenario of a changed business strategy requiring a CRE reduction in individual interviews. Based on their suggested response, a decision network was modelled for each expert using the causal network elicitation technique, incorporating the utilities for decision variables and importance weights for attributes and benefits. The decision model offers a graphical representation of decision-benefit links for the decisions CRE managers make in such a period of decline. Findings Perceived facilitators of CRE dynamic alignment were identified by calculating lift ratios on their perceived importance of the attributes they mentioned during the interviews as nodes in the network that link decisions to benefits. Facilitators included CRE metrics and workplace strategy, while capital expenditure and landlords inhibit alignment processes. The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process. Research limitations/implications The research set a specific scenario for the experts to consider. That could be regarded as small but there was clear evidence of saturation of expert knowledge. Additional face-to-face interviews with the experts may have generated further details on the thought processes of the experts. Practical implications The research provides more granular insight into the variables used in CRE decision-making and the factors that facilitate or inhibit the dynamic alignment process. Thereby providing CRE decision-makers with key elements for a decision model. Originality/value The research technique, causal network elicitation technique, uses semi-structured interviews to create decision networks, which is a technique that has not been widely applied to CRE research. The research provides a granular view of what are important inhibitors or facilitators of dynamic alignment of CRE to business strategy.
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Kusmantini, Titik, Tulus Haryono, Wisnu Untoro, and Ahmad Ikhwan Setiawan. "Strategic consensus between functions and the role of supply chain technology as moderator." Journal of Industrial Engineering and Management 11, no. 4 (2018): 735. http://dx.doi.org/10.3926/jiem.2652.
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Purpose: This study aims to identify whether the degree of fit of the correlation between high supply chain and manufacturing strategy will result in a better performance.Design/methodology/approach: Strategic alignment test between the functions uses 102 SMEs in Yogyakarta as, Indonesia with purposive sampling technique. The data are collected by distributing questionnaires to the companies that qualify the criteria of the sample, respondent target are procurement manager, production and IT.Findings: Samples are grouped into two ideal types of strategies used mean split technique. 53 SMEs adopt ASCS (Agile Supply Chain Strategy) and 49 SMEs adopt LSCS (Lean Supply Chain Strategy). Two of the strategy groups have a low value of misfit score; it means that the degree of fit between supply chain strategy and manufacturing strategy is high. The result of simple regression test by using one side technique shows that a regression coefficient values is negative both in LSCS and ASCS group, but the hypothesis test is only proven on ASCS group while LSCS group is not significant.Research limitations/implications: (1) The empirical finding of bivariate fit model test encourage a research space to explore the other contingent variable besides manufacturing strategy. For example, business and information technology strategy; (2) The measurement of the company performance becomes the objective of the success of the alignment of supply chain strategy with the contingent variable which should be specified using the performance variable of the supply chain.Originality/value: The use of Euclidean distance formula is expected to cover the technical limitations of contingency test by using interaction approach between the complex variables; the value of misfit score reflects the extent to which program alignment between the company functions.
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Ilmudeen, Aboobucker, Yukun Bao, and Ibraheem Mubarak Alharbi. "How does business-IT strategic alignment dimension impact on organizational performance measures." Journal of Enterprise Information Management 32, no. 3 (2019): 457–76. http://dx.doi.org/10.1108/jeim-09-2018-0197.
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Purpose Despite the conceptual, empirical and theoretical advances in alignment–performance relationship, there is a limited research on the alignment dimensions and organizational performance measures. Though strategic alignment is believed to improve organizational performance, the purpose of this paper is to develop conjectures for understanding how different alignment dimensions influence organizational performance measures. Design/methodology/approach The data were acquired from 161 senior IT and business managers paired responses in China and were analyzed by using a structural equation modeling technique. Findings The hypothesized relationships are largely supported. Thus, quality-oriented strategic alignment dimension has a significant relationship with all performance measures. Contrary to expectations, both product and marketing-oriented strategic alignment dimensions do not show a significant impact on financial return. The marketing-oriented strategic alignment dimension also has an insignificant relationship with operational excellence. Practical implications This study suggests that the business–IT alignment can be dimensioned to better combine business strategy and IT strategy. Hence, managers can focus specific alignment dimension instead of entire strategies of a firm for a better decision making. Originality/value Findings suggest guidance for formulating combined business and IT strategic alignment into dimensions and proposing insightful and practical implications.
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Lee, Youngro, Sang-Young Park, Jae-Pil Park, and Youngbum Song. "Numerical Analysis of Relative Orbit Control Strategy for CANYVAL-X Mission." Journal of Astronomy and Space Sciences 36, no. 4 (2019): 235–48. http://dx.doi.org/10.5140/jass.2019.36.4.235.
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This paper suggests a relative orbit control strategy for the CubeSat Astronomy by NASA and Yonsei using Virtual Telescope Alignment eXperiment (CANYVAL-X) mission whose main goal is to demonstrate an essential technique, which is an arrangement among two satellites and a specific celestial object, referred to as inertial alignment, for a next-generation virtual space telescope. The inertial alignment system is a relative orbit control system and has requirements for the relative state. Through the proposed orbit control strategy, consisting of separation, proximity keeping, and reconfiguration, the requirements will be satisfied. The separation direction of the two CubeSats with respect to the orbital plane is decided to provide advantageous initial condition to the orbit controller. Proximity keeping is accomplished by differential atmospheric drag control (DADC), which generates acceleration by changing the spacecraft’s effective cross section via attitude control rather than consuming propellant. Reconfiguration is performed to meet the requirements after proximity keeping. Numerical simulations show that the requirements can be satisfied by the relative orbit control strategy. Furthermore, through numerical simulations, it is demonstrated that the inertial alignment can be achieved. A beacon signal had been received for several months after the launch; however, we have lost the signal at present.
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Li, Yan, Lei Zhang, and Feng Qian. "Improving Unsupervised Network Alignment with Matched Neighborhood Consistency." Mathematics 12, no. 8 (2024): 1211. http://dx.doi.org/10.3390/math12081211.
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Network alignment is an important technique with applications in diverse domains, such as social network analysis, bioinformatics, and knowledge graph construction. Many of the alignment methods rely on predefined anchor nodes, which are often unavailable in real-world scenarios. To overcome this limitation, we propose MANNA (MAtched Neighbor consistency for Network Alignment), an unsupervised approach to network alignment that exploits the concept of Matched Neighborhood Consistency (MNC). The hypothesis of MANNA is that nodes with higher similarity within their local neighborhood structures are more likely to be aligned across different networks. To learn the structural and attribute features of networks, MANNA uses a Graph Neural Network (GNN). It extracts multi-order node embeddings to capture multi-scale neighborhood features, which are then used to construct similarity matrices for the alignment process. MANNA introduces a key innovation by using pseudo-anchor nodes identified by the MNC strategy to provide self-supervised learning signals in the absence of real anchor nodes. This approach enhances the model’s ability to learn accurate network representations and improve alignment accuracy. Alignment results are iteratively refined by applying the MNC strategy, which strengthens the consistency of neighborhood structures between matched nodes. Extensive experiments on three public datasets show that MANNA outperforms existing network alignment methods.
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Bilka, Tadeas, Jakub Kandra, Claus Kleinwort, and Radek Zlebcik. "Simultaneous Global and Local Alignment of the Belle II Tracking Detectors." EPJ Web of Conferences 251 (2021): 03028. http://dx.doi.org/10.1051/epjconf/202125103028.
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The alignment of the Belle II tracking system, composed of a pixel and strip vertex detectors and central drift chamber, is described by approximately sixty thousand parameters; from local alignment of sensors and wires to relative global alignment of the sub-detectors. In the next data reprocessing, scheduled since Spring 2021, we aim to determine all parameters in a simultaneous fit by Millepede II, where recent developments allow to achieve a direct solution of the full problem in about one hour and make it practically feasible for regular detector alignment. The tracking detectors and the alignment technique are described and the alignment strategy is discussed in the context of studies on simulations and experience obtained from recorded data. Preliminary results and further refinements based on studies of real Belle II data are presented.
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Wu, Ze-ying, Zhong-da Zeng, Zi-dan Xiao, et al. "Semiautomated Alignment of High-Throughput Metabolite Profiles with Chemometric Tools." Journal of Analytical Methods in Chemistry 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9402045.
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The rapid increase in the use of metabolite profiling/fingerprinting techniques to resolve complicated issues in metabolomics has stimulated demand for data processing techniques, such as alignment, to extract detailed information. In this study, a new and automated method was developed to correct the retention time shift of high-dimensional and high-throughput data sets. Information from the target chromatographic profiles was used to determine the standard profile as a reference for alignment. A novel, piecewise data partition strategy was applied for the determination of the target components in the standard profile as markers for alignment. An automated target search (ATS) method was proposed to find the exact retention times of the selected targets in other profiles for alignment. The linear interpolation technique (LIT) was employed to align the profiles prior to pattern recognition, comprehensive comparison analysis, and other data processing steps. In total, 94 metabolite profiles of ginseng were studied, including the most volatile secondary metabolites. The method used in this article could be an essential step in the extraction of information from high-throughput data acquired in the study of systems biology, metabolomics, and biomarker discovery.
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Xue, Xingsi, and Junfeng Chen. "Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm." Sensors 20, no. 7 (2020): 2056. http://dx.doi.org/10.3390/s20072056.
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Semantic Sensor Web (SSW) links the semantic web technique with the sensor network, which utilizes sensor ontology to describe sensor information. Annotating sensor data with different sensor ontologies can be of help to implement different sensor systems’ inter-operability, which requires that the sensor ontologies themselves are inter-operable. Therefore, it is necessary to match the sensor ontologies by establishing the meaningful links between semantically related sensor information. Since the Swarm Intelligent Algorithm (SIA) represents a good methodology for addressing the ontology matching problem, we investigate a popular SIA, that is, the Firefly Algorithm (FA), to optimize the ontology alignment. To save the memory consumption and better trade off the algorithm’s exploitation and exploration, in this work, we propose a general-purpose ontology matching technique based on Compact co-Firefly Algorithm (CcFA), which combines the compact encoding mechanism with the co-Evolutionary mechanism. Our proposal utilizes the Gray code to encode the solutions, two compact operators to respectively implement the exploiting strategy and exploring strategy, and two Probability Vectors (PVs) to represent the swarms that respectively focuses on the exploitation and exploration. Through the communications between two swarms in each generation, CcFA is able to efficiently improve the searching efficiency when addressing the sensor ontology matching problem. The experiment utilizes the Conference track and three pairs of real sensor ontologies to test our proposal’s performance. The statistical results show that CcFA based ontology matching technique can effectively match the sensor ontologies and other general ontologies in the domain of organizing conferences.
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Zhang, Zhao, Jifang Wang, Kaixuan Guo, and Kai Wang. "Recognition and position estimation method for stacked untextured parts." E3S Web of Conferences 522 (2024): 01025. http://dx.doi.org/10.1051/e3sconf/202452201025.
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To address the challenge of recognizing and estimating the position of untextured stacked parts, which are common in industrial environments, this study proposes an integrated approach that incorporates the YOLOv7 target detection algorithm and point cloud alignment techniques. First, the YOLOv7 algorithm is utilized to quickly identify and locate the 2D position of the part, followed by a mapping technique to transform the 2D region of interest (ROI) into the corresponding 3D point cloud region. In the point cloud processing stage, depth threshold segmentation and Euclidean clustering segmentation methods are used to separate the target part from the background and other interfering objects. The pose estimation stage uses the SAC-IA algorithm for coarse alignment, followed by an improved ICP algorithm that introduces an adaptive weighting mechanism and a global optimization strategy for fine alignment to obtain the final 6D pose of the part. The improved strategy significantly optimizes the point-pair selection and alignment process and enhances the robustness and accuracy of the algorithm. Through experimental validation on publicly available part piece datasets, the results show that the part identification and pose estimation method proposed in this study can realize fast and accurate identification and pose estimation of different shapes, non-textured, and scattered stacked parts, where the position error can reach up to 1mm and the angular error within 1°, which meets the requirements of practical applications.
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Chigrinov, Vladimir, Aleksey Kudreyko, and Jiatong Sun. "Photosensitive Alignment: Advanced Electronic Paper-Based Devices." Crystals 12, no. 3 (2022): 364. http://dx.doi.org/10.3390/cryst12030364.
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In this review we describe the reversible photoalignment effect imposed on the director in nematic liquid crystals that provides an approach for fabrication of advanced optically addressed devices. Several new concepts have been developed to render photosensitive materials during the past decade. Functional soft azo dye compounds exhibiting distinct functionalities in response to polarized light are highly desirable for fabrication of optically rewritable electronic paper. An optically rewritable element base using simple and inexpensive materials can potentially enable the development of novel environmentally friendly, paper-like gadgets with improved functionality over regular electronic paper. We argue that an optically rewritable technique is relevant for some applications, where conventional paper might be irrelevant. In particular, we have tested and discussed several techniques of color and 3D image formation. This strategy for fabrication of novel devices offers versatile methods for visualization. We also show that the intensity modulation of the irradiation light has a potential to generate improved grayscale visualization. This principle is based on the statistical distribution control of photosensitive azo dye molecules, driven by the incident polarized light. Additionally, we discuss the functional characteristics of the developed prototypes.
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Santati, Parama, Sulastri Sulastri, and Badia Perizade. "Strategic Performance Measurement System in Higher Education in Indonesia: New Public Management Approach." SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 6, no. 1 (2022): 107. http://dx.doi.org/10.29259/sijdeb.v6i1.107-130.
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This research is a descriptive overview to describe the alignment between the criteria and measurements of a number of performance indicators compiled in the university's strategic plan. Key Performance Indicators (KPI) as indicators of organizational performance based on the Vision, Mission and Organizational Strategy which are derived from Key Performance Indicators (KPI) and Program Performance Indicators or Activity Performance Indicators. Alignment measurement method uses correspondence analysis technique. This study finds that most of the measurement criteria are still dominated by the economic aspect.
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Giannoulis, Constantinos, Eric-Oluf Svee, and Jelena Zdravkovic. "Capturing Consumer Preference in System Requirements Through Business Strategy." International Journal of Information System Modeling and Design 4, no. 4 (2013): 1–26. http://dx.doi.org/10.4018/ijismd.2013100101.
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A core concern within Business-IT alignment is coordinating strategic initiatives and plans with Information Systems (IS). Substantial work has been done on linking strategy to requirements for IS development, but it has usually been focused on the core value exchanges offered by the business, and thus overlooking other aspects that influence the implementation of strategy. One of these, consumer preferences, has been proven to influence the successful provisioning of the business's customer value proposition, and this study aims to establish a conceptual link between both strategy and consumer preferences to system requirements. The core contention is that reflecting consumer preferences through business strategy in system requirements allows for the development of aligned systems, and therefore systems that better support a consumer orientation. The contribution of this paper is an approach to establish such alignment, with this being accomplished through the proposal of a consumer preference meta-model mapped to a business strategy meta-model further linked to a system requirements technique. The validity of this proposal is demonstrated through a case study carried out within an institution of higher education in Sweden.
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Muafi and Rizqi Adhyka Kusumawati. "Strategic consensus on organizational performance: A contingency approach of organizational culture and isomorphic pressure." Journal of Industrial Engineering and Management 13, no. 2 (2020): 352. http://dx.doi.org/10.3926/jiem.2480.
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Purpose: This research aims to test and analyze the consensus of organizational strategy with the contingency of organizational culture and isomorphism pressure which have an impact on organizational performance moderated by human capital. The survey is conducted to the owners/managers of Batik Micro Small Medium Entreprises (MSMEs) in 18 villages in Pekalongan, Indonesia.Design/methodology/approach: The data collecting is using questionnaire and interview to some owner/managers and leader of the Batik group. Pekalongan is a city of Batik that has Batik MSMEs spread in every area of the villages. Therefore, the sampling technique used in this research includes two stages: proportional area random sampling and purposive sampling. 17 MSMEs were taken as samples in each village. Furthermore, after selecting 17 MSMEs, the study used purposive sampling technique with a sample size of 170 MSMEs. This research uses three variables: isomorphism, organizational culture, and organizational strategy measured by semantic scale and use two bipolar typologies. As for organizational performance, it is measured using Likert scale. The data analysis technique is using Euclidience Distance Simple Regression with contingency approach and moderation of Euclidience Distance Simple Regression.Findings: These results provide are; (1) The higher the alignment degree between imitation strategy and hierarchy culture, the higher the organizational performance will be; (2) The higher the alignment degree between innovation strategy and adhocracy culture, the higher the organizational performance will be; (3) Human capital strengthens the consensus of imitation strategy with the contingency of hierarchy culture and benign isomorphism, so that the organizational performance is higher; (4) Human capital does not strengthen the consensus of innovation strategy with the contingency of adhocracy culture and hostile isomorphism, so that the organizational performance is higher.Research limitations/implications: The sampling technique of this research is done using purposive sampling, so it is feared that it cannot generalize to the existing population. The data collection also uses primary data with measurement approach based on the owner/manager perceptions, which sometimes still requires assistance and good understanding for the respondents. Organizational performance will be increase if the condition of hierarchy culture, benign isomorphism, and imitation strategy are supported by the moderation role of human capital that can strengthen the relationship with organizational performance.Practical implications: The higher the alignment degree between imitation strategy and hierarchy culture, the higher the organizational performance will be. If the organization tend to choose imitation strategy, it is more emphasizes on low market pressure, support from government regulation, low public and media pressure, and stable politic and safety, and vice versa.Originality/value: This research wants to fill the research gap by examining the importance of having an alignment of organization strategy (Imitation vs Innovation) related with the contingency of organizational culture (Hierarchy vs Adhocracy) and isomorphism pressure (Benign vs Hostile) so that Batik MSMEs entrepreneurs can further improve their organizational performance (operational performance and environmental performance).
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Cooke, Howard, Rianne Appel-Meulenbroek, and Theo Arentz. "Lifting the lid on the black box of corporate real estate decision-making; dealing with surplus property." Journal of European Real Estate Research 14, no. 1 (2021): 100–119. http://dx.doi.org/10.1108/jerer-05-2020-0029.
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Purpose The purpose of this paper is to identify the variables that influence corporate real estate (CRE) decision-making and gauge their relative importance to each other, thereby understanding the consequent challenges/implications for CRE managers (CREM’s). Design/methodology/approach Interviews were undertaken with experienced CREM’s using the causal network elicitation technique to create decision networks for the variables they considered for the specifically defined scenario: dealing with surplus property from a change of business strategy. These networks illustrate the complexity of the mental representations required for the realignment of the CRE portfolio. The key variables are more extensive than alignment theory suggests, namely, financial stakeholders. Additional variables identified include risk, lease accounting, costs, financial analysis, business metrics and motivational drivers. The latter indicates the importance of self-esteem and peer recognition for CREM’s and financial benefits for the C-suite. Accordingly strategy alignment needs to incorporate CRE both in terms of strategy creation and implementation. Findings These networks illustrate the complexity of the mental representations required for the realignment of the CRE portfolio. The key variables are more extensive than alignment theory suggests, namely, financial stakeholders. Additional variables identified include risk, lease accounting, costs, financial analysis, business metrics and motivational drivers. The latter indicates the importance of self-esteem and peer recognition for CREM’s and financial benefits for the C-suite. Accordingly, strategy alignment needs to incorporate CRE both in terms of strategy creation and implementation. Originality/value This research appears to be the first that looks in detail at the mental representations used by decision-makers while making CRE decisions.
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Andriollo, Luca, Pietro Gregori, Christos Koutserimpas, et al. "Lateral approach in robotic total knee arthroplasty for valgus knees: A step-by-step technique." SICOT-J 11 (2025): 20. https://doi.org/10.1051/sicotj/2025017.
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Total knee arthroplasty (TKA) in valgus knee deformities presents unique challenges, including alignment, soft tissue balance, and implant positioning. The lateral approach offers advantages over the traditional medial approach by improving direct access, patellar tracking, and soft tissue preservation. Robotic-assisted TKA enhances precision, ligament balancing, and patient-specific alignment strategies, such as functional knee positioning (FKP). This study describes a surgical technique integrating the lateral approach with robotic-assisted TKA using FKP principles. The technique is based on an image-based robotic system, ensuring accurate preoperative planning, intraoperative adjustments, and optimized prosthetic placement. Key intraoperative steps, including bone resection strategies, soft tissue balancing, and trial component evaluations, are detailed. The lateral robotic approach with FKP was found to be effective and reproducible, allowing for precise implant alignment and optimized soft tissue balance in valgus knees. This method minimizes the need for extensive lateral releases, preserves vascularity, and ensures postoperative stability. The combination of the lateral approach, robotic-assisted TKA, and FKP represents a promising strategy for valgus knee deformities. Further long-term studies are needed to validate the durability and functional benefits of this technique.
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Kayikci, Yasanur, Volker Stix, Larry J. LeBlanc, and Michael R. Bartolacci. "A Novel Application of a Hybrid Delphi-Analytic Hierarchy Process (AHP) Technique." International Journal of Applied Logistics 5, no. 1 (2014): 52–75. http://dx.doi.org/10.4018/ijal.2014010104.
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This research studies heterarchical collaboration in logistical transport. Specifically, it utilizes a hybrid Delphi-Analytic Hierarchy Process (AHP) approach to explore the relevant criteria for the formation and maintenance of a strategic alignment for heterarchical transport collaboration. The importance of this work is that it applies a novel hybrid approach for identifying criteria for success to a little-studied form of supply chain collaboration: heterarchical collaborative transport. The criteria for this form of collaboration identified by the application of Delphi-AHP include ones from the technical, risk, financial, organizational, and operational categories. This novel application of the hybrid approach leveraged the expertise of transportation collaboration experts from the U.K., France, Canada, Sweden, the Netherlands, and Italy to identify key criteria for a strategic alignment between heterarchical collaboration partners. Such collaborative initiatives are important in industry as an environmentally conscious, yet efficient and effective strategy for the transport of raw materials and finished products in the supply chain.
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Zhang, Ying, Dinghua Zhang, and Baohai Wu. "An approach for machining allowance optimization of complex parts with integrated structure." Journal of Computational Design and Engineering 2, no. 4 (2015): 248–52. http://dx.doi.org/10.1016/j.jcde.2015.06.007.
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Abstract Currently composite manufacturing process, such as linear friction welding plus NC machining, is the main method for the manufacturing and repairing of complex parts with integrated structure. Due to different datum position and inevitable distortion from different processes, it is important to ensure sufficient machining allowance for complex parts during the NC machining process. In this paper, a workpiece localization approach for machining allowance optimization of complex parts based on CMM inspection is developed. This technique concerns an alignment process to ensure sufficient stock allowance for the single parts as well as the whole integrated parts. The mathematical model of the constrained alignment is firstly established, and then the symmetric block solution strategy is proposed to solve the optimization model. Experiment result shows that the approach is appropriate and feasible to distribute the machining allowance for the single and whole parts for adaptive machining of complex parts. Highlights An approach for machining allowance optimization of complex parts based on CMM inspection is developed. An alignment process to ensure sufficient stock allowance for the whole integrated parts is concerned. The symmetric block solution strategy is proposed to solve the constrained alignment model.
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Garg, A. K., R. J. O. Joubert, and R. Pellissier. "Information systems environmental alignment and business performance: A case study." South African Journal of Business Management 36, no. 4 (2005): 33–53. http://dx.doi.org/10.4102/sajbm.v36i4.642.
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The studies to establish the relationship between the external environment and business performance have not produced any conclusive results. Moreover, the field combining environmental uncertainty, information systems (IS) strategy and business performance has not been well explored. Considering the gap in current research, this study conceptualises an information systems environmental alignment model. The model analysed the extent of support provided by IS strategy in the assessment of environmental uncertainty and also examined the impact of IS environmental alignment on business performance. Based on empirical data collected by means of a questionnaire from 22 commercial banks in South Africa (covering more than 90% of the commercial banking sector) and using the Partial Least Squares (PLS) technique, the study validated the IS environmental alignment model and found that banks were using IS support to assess the external environment of business. The results suggest that it is not the IS support or investment in information technology (IT) that impacts on business performance, but rather the effective use of IS support in meeting the information needs of the organisation. The study also found that profitability still remains the key measure of business performance in the banking sector in South Africa. These findings have major implications for IT investment by banks, and for the implementation of IS strategy and general investment in the banking sector. IS environmental alignment is becoming extremely important for business because of the substantial investment in IT and the uncertainty of the business environment.
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Chidinma, Nnyeche Theresa, and E. A. Bestman. "Business-Information Technology Alignment and Sustainability of State-Owned Tertiary Institutions in Rivers State, Nigeria." Journal of Strategic Management 7, no. 1 (2022): 1–12. http://dx.doi.org/10.47672/jsm.889.
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Purpose: This work examined Business-Information Technology Alignment and Sustainability of State-Owned Tertiary Institutions in Rivers State, Nigeria. The objective was to investigate the relationship between strategy-driven alignment and sustainability of state-owned tertiary institutions in Rivers State, Nigeria.
 Methodology: To achieve this, two research questions and hypotheses were designed to guide the study. The population for this work comprised 1,224 staff between grade level 11 and above in the five state-owned tertiary institutions in Rivers State. The sample size of this study consisted of 302 selected using the Taro-Yamane sampling technique. The instrument for data collection was the questionnaire. The test for the internal regularity of the instrument was conducted using Spearman Rank Order correlation. Mean and standard deviation were used to answer the research questions; Statistical Package for Social Science out version 23.0 was used to test the null hypotheses.
 Findings: It was found that strategy-driven alignment significantly influenced the sustainability of quality service delivery of the state-owned tertiary institutions in Rivers State, Nigeria; the study therefore concluded that adopting the concept of business-information technology alignment will invariably result to sustainability in tertiary institutions.
 Recommendation: The study recommended among other things that: Federal and state governments as well as tertiary institution’s management should, as a matter of urgency, develop credible strategy-driven alignment approach that will ensure that the unique objectives of the tertiary institutions are derived seamlessly while using IT, that tertiary institution management should fore-handily train all IT staff on the objectives of the institution so that everyone in IT has a visceral understanding of the institutions intention with regards to quality service delivery.
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Batailler, Cécile, Pit Putzeys, Franck Lacaze, et al. "Patellofemoral Arthroplasty Is an Efficient Strategy for Isolated Patellofemoral Osteoarthritis with or without Robotic-Assisted System." Journal of Personalized Medicine 13, no. 4 (2023): 625. http://dx.doi.org/10.3390/jpm13040625.
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There is relative paucity in the literature concerning outcomes after robotic-assisted Patellofemoral Arthroplasty (PFA). The aims were (1) to evaluate outcomes in patients undergoing PFA with inlay or onlay components, with or without robotic arm assistance and (2) to identify risk factors of poor outcomes after PFA. This retrospective study included 77 PFA for isolated patellofemoral joint osteoarthritis, assigned to three groups (18 conventional technique, 17 image-free robotic-assisted system and 42 image-based robotic-assisted system). The demographic data were comparable between the three groups. The clinical outcomes assessed were: Visual Analogue Scale, Knee Society Score, Kujala score and satisfaction rate. The radiological measures were: Caton Deschamps index, patellar tilt and frontal alignment of the trochlea. Functional outcomes, satisfaction rate and residual pain were comparable between the three groups. Patellar tilt improvement was superior when a robotic device was used (either image-based or image-free) compared to the conventional technique. There were three revisions (3.9%) at the last follow-up related to femorotibial osteoarthritis progression. Multivariate analysis found no significant risk factors for poor outcomes, with respect to the surgical technique or implant design. Functional outcomes and revisions rate after PFA were comparable between the surgical techniques and implants. Robotic-assisted systems were associated with a superior improvement of the patellar tilt compared to the conventional technique.
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Luna Serrano, Edna, Luis Horacio Pedroza Zuñiga, and Perla Lizeth Cordova Valenzuela. "Alineamiento entre estándares de desempeño docente y el programa de estudios de preescolar mexicano." education policy analysis archives 27 (March 4, 2019): 17. http://dx.doi.org/10.14507/epaa.27.3595.
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In a school system oriented to the fulfillment of educational objectives and the improvement of teaching performance, the congruence between the normative documents and the evaluation of teaching is fundamental. From this perspective, the objective of this study was to analyze the alignment between the implicit teaching competencies of the Preschool Studies Program and the performance teaching standards, as well as assessing the agreement between two versions of the standards issued by the Mexican Ministry of Education. To address those objectives the methodology included two descriptive studies, which apply content analysis techniques as well as work with subject matters judges, the curriculum alignment technique and Bloom's revised taxonomy. In general, the standards are aligned with the Program, except in the areas of formative evaluation and the use of play as a didactic strategy; in the last version of the standards the demands of the cognitive process were lower in the taxonomy. The conclusion suggests an integrated evaluation system that recognizes all specific aspects of preschool teaching practice.
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Zhao, Zeng-Shun, Xiang Feng, Sheng-Hua Teng, Yi-Bin Li, and Chang-Shui Zhang. "Multiscale Point Correspondence Using Feature Distribution and Frequency Domain Alignment." Mathematical Problems in Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/382369.
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In this paper, a hybrid scheme is proposed to find the reliable point-correspondences between two images, which combines the distribution of invariant spatial feature description and frequency domain alignment based on two-stage coarse to fine refinement strategy. Firstly, the source and the target images are both down-sampled by the image pyramid algorithm in a hierarchical multi-scale way. The Fourier-Mellin transform is applied to obtain the transformation parameters at the coarse level between the image pairs; then, the parameters can serve as the initial coarse guess, to guide the following feature matching step at the original scale, where the correspondences are restricted in a search window determined by the deformation between the reference image and the current image; Finally, a novel matching strategy is developed to reject the false matches by validating geometrical relationships between candidate matching points. By doing so, the alignment parameters are refined, which is more accurate and more flexible than a robust fitting technique. This in return can provide a more accurate result for feature correspondence. Experiments on real and synthetic image-pairs show that our approach provides satisfactory feature matching performance.
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AZEMSHA, Siarhei, Irina KRAVCHENYA, Yuriy VOVK, Oleg LYASHUK, and Iryna VOVK. "SCHEDULING TECHNIQUE OF ROUTE VEHICLES ON DUPLICATING STRETCHES." Scientific Journal of Silesian University of Technology. Series Transport 113 (December 1, 2021): 5–16. http://dx.doi.org/10.20858/sjsutst.2021.113.1.
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Schedule optimization is a proven strategy to improve service quality for public transport networks. However, current research mostly optimizes schedule design using prior knowledge of users’ routings, ignoring the optimization of public transport schedules on duplicating stretches of route vehicles. This article presents a new alignment technique of time intervals between consecutive vehicles of different routes on duplicating stretches, considering existing public transport networks in attaining optimization of public transport schedule. Scheduling technique of route vehicles on duplicating stretches includes some steps: analysis of public transport network and determining a lot of duplicating stretches, calculation of the optimal time intervals among arrivals of route vehicles and alignment of these intervals among consecutive route vehicles on duplicating stretches, realization simulation model of urban passenger transport within the simulation modeling system of GPSS World. Furthermore, testing the optimization technique of route vehicle scheduling, analysis of the quality of adjusted schedule with route vehicles of different kinds included, and determining the optimization efficiency for duplicating stretches. The adjusting technique of urban passenger transport schedule allows to increase movement steadiness of consecutive vehicles of different routes on duplicating stretches, adjust traffic intervals for each route, shorten the traffic load on stations, reducing idle time and queue lengths of route vehicles in front of transport stops and also minimize waiting time for route vehicle by those passengers who can be transported along several routes. Improving the bus schedule on duplicating stretches in Gomel is illustrated demonstrating the technique developed. This scheduling technique can be used by carriers and transport operators to improve the quality of services provided.
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Supriyono, S. "Architecture in Institutional Management Systems using Odoo Enterprise Resource Planning at UIN Maulana Malik Ibrahim Malang." IJISTECH (International Journal of Information System and Technology) 5, no. 4 (2021): 490. http://dx.doi.org/10.30645/ijistech.v5i4.168.
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Rapidly evolving information systems and technology have compelled organizations, particularly educational institutions, to adapt their institutional evolution. The researcher's goal is to build an Odoo ERP-based institutional management system architecture at UIN Maulana Malik Ibrahim Malang in order to gain a competitive advantage in realizing the university's vision, mission, and goals, as well as in the future implementation phase of the recommended application portfolio. Information systems strategic planning is a significant transformation for a company, and it is based on user needs that are aligned with business strategy. The impact and alignment categories are used to categorize the information systems strategic planning technique. The impact category methodology is useful for creating and justifying the use of new information technologies. While the alignment methodology (alignment) serves to align the objectives of the information system with the goals of the organization. The Star UML was used to design the system architecture.
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Wang, Jian, Yanan Zhou, Qi He, and Wenbo Zhang. "A Dual-Enhanced Hierarchical Alignment Framework for Multimodal Named Entity Recognition." Applied Sciences 15, no. 11 (2025): 6034. https://doi.org/10.3390/app15116034.
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Multimodal amed entity recognition (MNER) is a natural language-processing technique that integrates text and visual modalities to detect and segment entity boundaries and their types from unstructured multimodal data. Although existing methods alleviate semantic deficiencies by optimizing image and text feature extraction and fusion, a fundamental challenge remains due to the lack of fine-grained alignment caused by cross-modal semantic deviations and image noise interference. To address these issues, this paper proposes a dual-enhanced hierarchical alignment (DEHA) framework that achieves dual semantic and spatial enhancement via global–local cooperative alignment optimization. The proposed framework incorporates a dual enhancement strategy comprising Semantic-Augmented Global Contrast (SAGC) and Multi-scale Spatial Local Contrast (MS-SLC), which reinforce the alignment of image and text modalities at the global sample level and local feature level, respectively, thereby reducing image noise. Additionally, a cross-modal feature fusion and vision-constrained CRF prediction layer is designed to achieve adaptive aggregation of global and local features. Experimental results on the Twitter-2015 and Twitter-2017 datasets yield F1 scores of 77.42% and 88.79%, outperforming baseline models. These results demonstrate that the global–local complementary mechanism effectively balances alignment precision and noise robustness, thereby enhancing entity recognition accuracy in social media and advancing multimodal semantic understanding.
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Lepinay, K., and F. Lorut. "Three-Dimensional Semiconductor Device Investigation Using Focused Ion Beam and Scanning Electron Microscopy Imaging (FIB/SEM Tomography)." Microscopy and Microanalysis 19, no. 1 (2013): 85–92. http://dx.doi.org/10.1017/s1431927612014031.
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AbstractThree-dimensional focused ion beam/scanning electron microscopy (FIB/SEM tomography) is currently an important technique to characterize in 3D a complex semiconductor device or a specific failure. However, the industrial context demands low turnaround time making the technique less useful. To make it more attractive, the following study focuses on a specific methodology going from sample preparation to the final volume reconstruction to reduce the global time analysis while keeping reliable results. The FIB/SEM parameters available will be first analyzed to acquire a relevant dataset in a reasonable time (few hours). Then, a new alignment strategy based on specific alignment marks [using tetraethoxylisane (TEOS) and Pt deposition] is proposed to improve the volume reconstruction speed. These points combined represent a considerable improvement regarding the reliability of the results and the time consumption (gain of factor 3). This method is then applied to various case studies illustrating the benefits of the FIB/SEM tomography technique such as the precise identification of the origin of 3D defects, or the capability to perform a virtual top-down deprocessing on soft material not possible by any mechanical solution.
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Li, Haoran. "The Strategy of Cooperational Negotiation: A Case Study on Intel's Acquisition." Transactions on Economics, Business and Management Research 11 (November 5, 2024): 118–24. https://doi.org/10.62051/zktsk613.
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This paper examines Intel's merger and acquisition of Altera as a case study to analyze the bargaining technique that led to a mutually advantageous solution, consolidating Intel's market position. This study comprehensively analyzed the three theoretical ideas of strategic positioning alignment, resource integration and synergy, and negotiating tactic flexibility. Initially, firms may only establish collaboration after accurately assessing their own growth trajectory and clarifying their own requirements. Furthermore, it's essential for both parties involved to make necessary adaptations in their people resources, capital resources, information resources, and other relevant areas in order to attain a mutually advantageous objective after the merger or acquisition, thereby fostering collaboration. Moreover, in the event that both parties exhibit a strong commitment to optimizing their advantages and demonstrate an unwillingness to make concessions, it is quite probable that the negotiation will not succeed. This paper offered suggestions based on these three characteristics. Firstly, by clearly defining the strategic posture of both sides in areas such as culture, economics, and market and ensuring some level of alignment or agreement, the chances of a successful negotiation are enhanced. Furthermore, by making a precise delineation of the resources possessed by each party involved, firms may efficiently combine these resources and provide mutual assistance in creating advantages. Finally, it is imperative that firms engage in discussions to secure appropriate compromises or provide relevant advantages to the opposing side in order to achieve the desired outcome of the negotiation.
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Asamnew T, Bekele, Getachew Tareke Abebe, and Waganeh Wassie Ayele. "Factor Affecting Strategic Plan Implementation: A Case Study of Commercial Bank of Ethiopia Head Office." Syntax Literate ; Jurnal Ilmiah Indonesia 9, no. 11 (2024): 6726–38. http://dx.doi.org/10.36418/syntax-literate.v9i11.54924.
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This study examines the factors affecting strategic plan implementation in case of commercial bank of Ethiopia. The research design was an explanatory, quantitative study that examined the factors associated with the successful implementation of strategic plans within Commercial Bank of Ethiopia. Using a judgmental sampling technique, the analysis was conducted on a sample size of 196. The findings revealed that several organizational enablers had a significant positive relationship with strategic plan implementation (SPI). The strongest predictor of SPI was effective communication, underscoring the critical role of clear, consistent, and transparent communication from leadership in driving strategy execution. Stakeholder engagement, leadership support, and the alignment of human resources practices with strategic priorities also emerged as key drivers of successful SPI. Interestingly, the study did not find a significant relationship between resource availability and SPI, challenging the common assumption that a lack of resources is a primary barrier to strategy implementation. These findings emphasize the importance of developing organizational capabilities, such as communication, stakeholder management, and HR-strategy alignment, to enhance the effective translation of strategic plans into tangible outcomes. The study provides valuable insights for organizations seeking to bridge the strategy-to-execution gap and improve the implementation of their strategic initiatives. By focusing on cultivating these organizational enablers, particularly effective leadership communication, organizations can more successfully drive the execution of their strategic plans and achieve their desired outcomes.
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Dickerson, Robert, Prasita Mukherjee, and Benjamin Delaware. "KestRel: Relational Verification using E-Graphs for Program Alignment." Proceedings of the ACM on Programming Languages 9, OOPSLA1 (2025): 1073–100. https://doi.org/10.1145/3720474.
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Many interesting program properties involve the execution of multiple programs, including observational equivalence, noninterference, co-termination, monotonicity, and idempotency. One strategy for verifying such relational properties is to construct and reason about an intermediate program whose correctness implies that the individual programs exhibit those properties. A key challenge in building an intermediate program is finding a good alignment of the original programs. An alignment puts subparts of the original programs into correspondence so that their similarities can be exploited in order to simplify verification. We propose an approach to intermediate program construction that uses e-graphs, equality saturation, and algebraic realignment rules to efficiently represent and build programs amenable to automated verification. A key ingredient of our solution is a novel data-driven extraction technique that uses execution traces of candidate intermediate programs to identify solutions that are semantically well-aligned. We have implemented a relational verification engine based on our proposed approach, called KestRel, and use it to evaluate our approach over a suite of benchmarks taken from the relational verification literature.
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Koutserimpas, Christos, Luca Andriollo, Pietro Gregori, et al. "Total knee arthroplasty after anterior cruciate ligament reconstruction with the use of image-based robotic technology and functional alignment." SICOT-J 11 (2025): 30. https://doi.org/10.1051/sicotj/2025025.
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Background: Total knee arthroplasty (TKA) in patients with prior anterior cruciate ligament reconstruction (ACLR) presents unique challenges due to altered knee kinematics, residual instability, and fixation implants that may interfere with implant positioning. Image-based robotic-assisted TKA enables the functional alignment (FA) strategy that accounts for individual bony anatomy, ligamentous laxities, and anterior compartment characteristics. Surgical technique: This technique involves a CT-based robotic workflow where femoral and tibial components are planned based on patient-specific alignment and soft tissue balance. Intraoperative assessment with a digital tensioning device guides fine-tuning of flexion and extension gaps, ensuring balanced implant positioning while minimizing soft tissue releases. Fixation implants from prior ACLR are identified using robotic navigation, allowing for targeted adjustments such as selective removal or controlled elevation of components to avoid excessive bone loss. Patellar tracking is dynamically evaluated with a probe, facilitating real-time adjustments to optimize mediolateral tracking and anterior offset. Discussion: Given the altered biomechanics in post-ACLR knees, FA may provide a physiological alignment by accommodating native laxities and reducing the risk of residual instability. Additionally, robotic guidance allows for precise management of fixation implants, ensuring optimal implant positioning and bone preservation. While further studies are needed, robotic-assisted FA represents a promising approach for enhancing outcomes in TKA for post-ACLR patients.
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Rios-Willars, Ernesto, Jennifer Velez-Segura, and María Magdalena Delabra-Salinas. "Enhancing Multiple Sequence Alignment with Genetic Algorithms: A Bioinformatics Approach in Biomedical Engineering." Revista Mexicana de Ingeniería Biomédica 45, no. 2 (2024): 62–77. http://dx.doi.org/10.17488/rmib.45.2.4.
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This study aimed to create a genetic information processing technique for the problem of multiple alignment of genetic sequences in bioinformatics. The objective was to take advantage of the computer hardware's capabilities and analyze the results obtained regarding quality, processing time, and the number of evaluated functions. The methodology was based on developing a genetic algorithm in Java, which resulted in four different versions: Gp1, Gp2, Gp3 and Gp4 . A set of genetic sequences were processed, and the results were evaluated by analyzing numerical behavior profiles. The research found that algorithms that maintained diversity in the population produced better quality solutions, and parallel processing reduced processing time. It was observed that the time required to perform the process decreased, according to the generated performance profile. The study concluded that conventional computer equipment can produce excellent results when processing genetic information if algorithms are optimized to exploit hardware resources. The computational effort of the hardware used is directly related to the number of evaluated functions. Additionally, the comparison method based on the determination of the performance profile is highlighted as a strategy for comparing the algorithm results in different metrics of interest, which can guide the development of more efficient genetic information processing techniques.
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Al-Absi, Ahmed Abdulhakim, and Dae-Ki Kang. "Long Read Alignment with Parallel MapReduce Cloud Platform." BioMed Research International 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/807407.
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Genomic sequence alignment is an important technique to decode genome sequences in bioinformatics. Next-Generation Sequencing technologies produce genomic data of longer reads. Cloud platforms are adopted to address the problems arising from storage and analysis of large genomic data. Existing genes sequencing tools for cloud platforms predominantly consider short read gene sequences and adopt the Hadoop MapReduce framework for computation. However, serial execution of map and reduce phases is a problem in such systems. Therefore, in this paper, we introduce Burrows-Wheeler Aligner’s Smith-Waterman Alignment on Parallel MapReduce (BWASW-PMR) cloud platform for long sequence alignment. The proposed cloud platform adopts a widely accepted and accurate BWA-SW algorithm for long sequence alignment. A custom MapReduce platform is developed to overcome the drawbacks of the Hadoop framework. A parallel execution strategy of the MapReduce phases and optimization of Smith-Waterman algorithm are considered. Performance evaluation results exhibit an average speed-up of 6.7 considering BWASW-PMR compared with the state-of-the-art Bwasw-Cloud. An average reduction of 30% in the map phase makespan is reported across all experiments comparing BWASW-PMR with Bwasw-Cloud. Optimization of Smith-Waterman results in reducing the execution time by 91.8%. The experimental study proves the efficiency of BWASW-PMR for aligning long genomic sequences on cloud platforms.
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Nauhaus, Ian, and Dario L. Ringach. "Precise Alignment of Micromachined Electrode Arrays With V1 Functional Maps." Journal of Neurophysiology 97, no. 5 (2007): 3781–89. http://dx.doi.org/10.1152/jn.00120.2007.
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Recent theoretical models of primary visual cortex predict a relationship between receptive field properties and the location of the neuron within the orientation maps. Testing these predictions requires the development of new methods that allow the recording of single units at various locations across the orientation map. Here we present a novel technique for the precise alignment of functional maps and array recordings. Our strategy consists of first measuring the orientation maps in V1 using intrinsic optical imaging. A micromachined electrode array is subsequently implanted in the same patch of cortex for electrophysiological recordings, including the measurement of orientation tuning curves. The location of the array within the map is obtained by finding the position that maximizes the agreement between the preferred orientations measured electrically and optically. Experimental results of the alignment procedure from two implementations in monkey V1 are presented. The estimated accuracy of the procedure is evaluated using computer simulations. The methodology should prove useful in studying how signals from the local neighborhood of a neuron, thought to provide a dominant feedback signal, shape the receptive field properties in V1.
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Yi, Jason, Asit Manna, Valarie A. Barr, Jennifer Hong, Keir C. Neuman, and Lawrence E. Samelson. "madSTORM: a superresolution technique for large-scale multiplexing at single-molecule accuracy." Molecular Biology of the Cell 27, no. 22 (2016): 3591–600. http://dx.doi.org/10.1091/mbc.e16-05-0330.
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Investigation of heterogeneous cellular structures using single-molecule localization microscopy has been limited by poorly defined localization accuracy and inadequate multiplexing capacity. Using fluorescent nanodiamonds as fiducial markers, we define and achieve localization precision required for single-molecule accuracy in dSTORM images. Coupled with this advance, our new multiplexing strategy, madSTORM, allows accurate targeting of multiple molecules using sequential binding and elution of fluorescent antibodies. madSTORM is used on an activated T-cell to localize 25 epitopes, 14 of which are on components of the same multimolecular T-cell receptor complex. We obtain an average localization precision of 2.6 nm, alignment error of 2.0 nm, and <0.01% cross-talk. Combining these technical advances affords the ability to move beyond obtaining superresolved structures to defining spatial relationships among constituent molecules within structures. Probing the molecular topology of complex signaling cascades and other heterogeneous networks is feasible with madSTORM.
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Sobirin, Achmad, and Bambang Tutuko. "The Implementation of Strategy, Organizational Culture and Performance: Finding 'The Best Fit'." GATR Global Journal of Business Social Sciences Review 3, no. 4 (2015): 08–15. http://dx.doi.org/10.35609/gjbssr.2015.3.4(2).
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Objective - The purpose of this empirical study was to examine the degree of alignment between the implementation of strategy and organization's culture, and its implication on company performance. Methodology/Technique - The study is quantitative in nature using survey questionnaires. Total numbers of 201 questionnaires were sent to operational managers of Kimia Farma Pharmacy and 114 questionnaires were returned and analyzed using descriptive analysis with SPSS version 20, and the analysis of Structural Equation Modeling (SEM) with a statistical program AMOS version 7. Findings - The finding of the study shows the implementation of strategy and two types of organizational culture (adhocracy and clan culture) respectively influence the performance of PT Kimia Farma Pharmacy. This study, however, failed to find the best fit between the implementation of strategy and organizational culture in general. Further analysis shows that clan and hierarchy culture become the trigger of the implementation of strategy Novelty - This study proves that clan and hierarchy culture become the trigger of strategy implementation which eventually generate a better performance of the company. Type of Paper - Empirical Keywords: Best Fit; Strategy Implementation; Organizational Culture; Performance.
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Silva, Vera, and Jesualdo Cerqueira Fernandes. "Use of the Benefits Management Methodology in an Insurance Company." International Journal of Technology and Human Interaction 16, no. 4 (2020): 1–13. http://dx.doi.org/10.4018/ijthi.2020100101.
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The benefits management methodology is a complementary analysis technique to traditional project management practices. It dynamically evaluates the benefits associated with the implementation of an information system (IS), including all phases from planning to monitoring, both during and after the implementation. This article presents a case study of the application of the Cranfield School of Management's benefits management technique as it is applied to an insurance company. It identifies and quantifies the underlying benefits of IS implementation, organizational and structural changes, and alignment with the organization's strategy. The data was collected through analysis of secondary documents and interviews with insurance company employees. The main contribution of this article is to demonstrate the versatility of the Cranfield School of Management's technique during the study of IS projects. It provides a graphical visualization of the dependencies between all elements of the network.
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Ichsan, Maulana, Naili Farida, and Sari Listyorini. "Improving Marketing Performance Through Competitive Advantage in Phase Two Of The Covid-19 Pandemic." JURNAL PENDIDIKAN DAN KELUARGA 14, no. 1 (2022): 39. http://dx.doi.org/10.24036/jpk/vol14-iss1/1049.
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The marketing performance of small and medium businesses in the Ancol tourism area is influenced by an effective market strategy so that they are able to realize a competitive advantage. The purpose of this study is to examine market strategies in competitive advantage, and their implications for marketing performance in small and medium businesses in the Ancol tourism area. The sample research technique uses Probability Sampling. The sample selection technique in this study used Proportional Random Sampling with the sample in this study amounting to 235 small and medium businesses in the Ancol area during the Covid-19 pandemic from 70 small and medium businesses with a scale of 1 to 10 questionnaires to find out the interpretation of market strategies, competitive advantage, and marketing performance. The data technique was analyzed using multiple linear regression with the intervening test. Research statement: "that the problem stems from the marketing performance of small and medium enterprises in the Ancol tourist area as a dependent variable which is influenced by competitive advantage as an intervening variable and market strategy, as well as research that is new in nature which is a research topic that has never been done by previous researchers. Research findings indicate that marketing performance is influenced by market strategy through competitive advantage. Based on the results of the study, it can be concluded that market strategy has an effect on competitive advantage. Alignment of market strategy produces a greater influence on competitive advantage. Market strategy affects marketing performance through ineffective competitive advantage in its role as an intervening variable between market strategy and marketing performance. From this phenomenon, the research looks at the relationship of variables through literature review and the marketing performance literature approach. This paper provides definitions, dimensions, and determinants of market strategies to improve marketing performance through optimizing competitive advantage.
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Goel, Pankaj, Sandhya Mehta, Raman Kumar, and Fernando Castaño. "Sustainable Green Human Resource Management Practices in Educational Institutions: An Interpretive Structural Modelling and Analytic Hierarchy Process Approach." Sustainability 14, no. 19 (2022): 12853. http://dx.doi.org/10.3390/su141912853.
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Green Human Resources Management (GHRM) is an alignment of traditional human resource practices such as strategies, policies, procedures, and rules to the latest green and sustainable environment responsive practices. Unlike corporates, the adoption of GHRM in educational institutes (EIs) is still in its infancy stage. Through an extensive literature survey, this study identified eleven challenges in adopting the GHRM “strategy”, ten on “policy”, nine on the “procedures”, and eight on framing the GHRM “rules” aspect. The aim is to identify and develop the relationship between major and minor challenges in adopting GHRM practices in EIs. Hence, this study has applied the Interpretive Structural Modelling (ISM) technique to each GHRM practice and developed interrelation among such challenges and results verified with Analytic Hierarchy Process (AHP). The rankings of both techniques have been statistically verified with the Spearman Rank Correlation technique. The study concludes the lacking or insufficient considered four main pillars: clear vision and top management cooperation among these EIs to ensure sustainable GHRM practices from the strategy aspect perspective, benchmark in fixing accountability considering the policy aspect, suitable course curricula in universities focused on GHRM practices from procedural viewpoint, and transparency in EIs from the perspective of rules as significant challenges in GHRM adoption. The findings of the reported results can be further extended in cross-sectional and cross-cultural studies in further studies.
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Ferrero, Emmanuelle, and Pierre Guigui. "Current trends in the management of degenerative lumbar spondylolisthesis." EFORT Open Reviews 3, no. 5 (2018): 192–99. http://dx.doi.org/10.1302/2058-5241.3.170050.
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Degenerative spondylolisthesis (DS) is a common disease of the degenerative spine, often associated with lumbar canal stenosis. However, the choice between the different medical or surgical treatments remains under debate. Preference for surgical strategy is based on the functional symptoms, and when surgical treatment is selected, several questions should be posed and the surgical strategy adapted accordingly. One of the main goals of surgery is to improve neurological symptoms. Therefore, radicular decompression may be necessary. Radicular decompression can be performed indirectly through interbody fusion or interspinous spacer. However, indirect decompression has some limits, and the most frequent technique is a posterior decompression with fusion. Indeed, in cases of DS, associated fusion or dynamic stabilization are recommended to improve functional outcomes and prevent future destabilization. Risk factors for destabilization, such as anteroposterior and angular mobility, and significant disc height, have been discussed in the literature. When fusion is performed, osteosynthesis is often associated. It is essential to choose the length and position of the fusion according to the pelvic incidence and global alignment of the patient. It is possible to add interbody fusion to the posterolateral arthrodesis to improve graft area and stability, increase local lordosis and open foramina. The most common surgical treatment for DS is posterior decompression with instrumented fusion. Nevertheless, some cases are more complicated and it is crucial to consider the patient’s general health status, symptoms and alignment when selecting the surgical strategy. Cite this article: EFORT Open Rev 2018;3 DOI: 10.1302/2058-5241.3.170050
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Zhang, Tengfei, Ya Wu, Yuan Huang, Zhengfa Liu, and Dequan Zeng. "CSEA: Confidence-guided Semantic-Enhanced Alignment for Online Test-Time Adaptation." Journal of Physics: Conference Series 3024, no. 1 (2025): 012034. https://doi.org/10.1088/1742-6596/3024/1/012034.
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Abstract Online test-time adaptation (OTTA) is a more general method for accomplishing domain adaptation in real-world scenarios because it just needs a pre-trained source model to adapt the mini-batch target online. One popular approach is to adapt the model with empirical risk minimization using generated pseudo-labels. However, it can fail to learn optimal feature space due to the noisy pseudo-labels under domain shift. To address this restriction, we propose a novel online test-time adaptation technique called Confidence-guided Semantic-Enhanced Alignment (CSEA) that separates the mini-batch target into distinct subsets based on the pseudo-labels confidence and applies tailored constraints to each subset for reliable target structure mining. We first divide the mini-batch target data into confident and non-confident based on an online updated memory bank for each class. Then, we customize the alignment strategy to fit each subset best. Specifically, we propose a Re-weighted Local Clustering for the confident subset to learn the local semantic structure information of unlabeled target. Further, we propose a Semantic-enhanced Alignment that applied to the non-confident subset to guide the model to learn additional discriminative semantic knowledge. Extensive experiments on three OTTA benchmarks indicate effectiveness of the proposed CSEA.
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Sekarningtyas, Aldila Kinanti, and Usman Usman. "Brand Alignment Targeting against the Needs of Gen-Z Consumers to Improve Brand Identity and Brand Advocacy." Almana : Jurnal Manajemen dan Bisnis 7, no. 2 (2023): 332–46. http://dx.doi.org/10.36555/almana.v7i2.2171.
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The phenomenon of online transportation in Indonesia has indeed been rampant for the last ten years due to increasingly sophisticated technological developments. The presence of PT Gojek Indonesia as a startup engaged in the field of online transportation has received a positive response from Gen-Z circles. This can be seen from the several services that PT Gojek Indonesia continues to develop so that in the end, there are 22 on-demand services that users can enjoy. This study aims to determine the indicators of Gen-Z consumer needs preferences in measuring brand alignment and how PT Gojek Indonesia will carry out the strategy to create the brand identity and brand advocacy for Gen-Z. The quantitative method used in this research uses the Partial Least Square Structural Equation Model (PLS-SEM) analysis technique. The critical finding of this study is that three exogenous variables (Brand Alignment, Brand Identity, and Brand Advocacy) positively and significantly affect consumer needs. However, this study has yet to explore consumer needs by adopting a comprehensive theory. Therefore, future research on brand alignment, identity, and advocacy, should discuss in more detail the sides of consumer needs by taking into account relevant theories, such as Maslow’s theory of markets and consumer behavior.
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Ham, Dae-Woong, Hyun Suk Shin, Ohsang Kwon, Sang-Min Park, and Ho-Joong Kim. "The Impact of the Thoracolumbar Junction Distraction Technique on Reducing Proximal Junctional Kyphosis: A Comparative Pre- and Post-Implementation Study in Adult Spinal Deformity Surgery." Medicina 61, no. 7 (2025): 1192. https://doi.org/10.3390/medicina61071192.
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Background and Objectives: Proximal junctional kyphosis (PJK) remains a significant complication in adult spinal deformity (ASD) surgery, often resulting in severe clinical consequences. This study evaluates the effectiveness of the thoracolumbar junction (TLJ) distraction technique in reducing PJK incidence, with a focus on its potential to preserve sagittal alignment and mitigate mechanical stress at the proximal junction. Materials and Methods: This retrospective cohort study included 122 patients who underwent ASD surgery between February 2018 and June 2022. Patients were stratified into a control group and an intervention group based on the application of the TLJ distraction technique. Radiographic and clinical outcomes, including proximal junctional angle (PJA), thoracolumbar angle (TLA), and PJK incidence, were assessed one year postoperatively. Statistical analyses were performed using t-tests and chi-square tests. Results: The incidence of PJK was significantly lower in the intervention group compared with that in the control group (24.6% vs. 44.3%, p = 0.036). Additionally, the intervention group exhibited a significant reduction in postoperative TLA (−10.6° ± 6.3° vs. −6.8° ± 6.8°, p = 0.002) and ΔTLA (2.6° ± 9.0° vs. −2.4° ± 9.5°, p = 0.003). Although improvements in radiographic parameters were associated with a trend toward reduced rates of proximal junctional failure (PJF), statistical significance was not achieved. Conclusions: The TLJ distraction technique effectively reduces PJK incidence by optimizing thoracolumbar alignment and minimizing abrupt sagittal transitions. This simple and reproducible approach presents a promising strategy for mitigating proximal junctional complications in ASD surgery, warranting further validation in multicenter trials.
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García-Remesal, M., D. de la Iglesia, N. Graf, V. Maojo, and A. Anguita. "Toward a View-oriented Approach for Aligning RDF-based Biomedical Repositories." Methods of Information in Medicine 54, no. 01 (2015): 50–55. http://dx.doi.org/10.3414/me13-02-0020.
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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.Background: The need for complementary access to multiple RDF databases has fostered new lines of research, but also entailed new challenges due to data representation disparities. While several approaches for RDF-based database integration have been proposed, those focused on schema alignment have become the most widely adopted. All state-of-the-art solutions for aligning RDF-based sources resort to a simple technique inherited from legacy relational database integration methods. This technique – known as element-to-element (e2e) mappings – is based on establishing 1:1 mappings between single primitive elements – e.g. concepts, attributes, relationships, etc. – belonging to the source and target schemas. However, due to the intrinsic nature of RDF – a representation language based on defining tuples < subject, predicate, object > –, one may find RDF elements whose semantics vary dramatically when combined into a view involving other RDF elements – i.e. they depend on their context. The latter cannot be adequately represented in the target schema by resorting to the traditional e2e approach. These approaches fail to properly address this issue without explicitly modifying the target ontology, thus lacking the required expressiveness for properly reflecting the intended semantics in the alignment information.Objectives: To enhance existing RDF schema alignment techniques by providing a mechanism to properly represent elements with context-dependent semantics, thus enabling users to perform more expressive alignments, including scenarios that cannot be adequately addressed by the existing approaches.Methods: Instead of establishing 1:1 correspondences between single primitive elements of the schemas, we propose adopting a view-based approach. The latter is targeted at establishing mapping relationships between RDF subgraphs – that can be regarded as the equivalent of views in traditional databases –, rather than between single schema elements. This approach enables users to represent scenarios defined by context-dependent RDF elements that cannot be properly represented when adopting the currently existing approaches.Results: We developed a software tool implementing our view-based strategy. Our tool is currently being used in the context of the European Commission funded p-medicine project, targeted at creating a technological framework to integrate clinical and genomic data to facilitate the development of personalized drugs and therapies for cancer, based on the genetic profile of the patient. We used our tool to integrate different RDF-based databases – including different repositories of clinical trials and DICOM images – using the Health Data Ontology Trunk (HDOT) ontology as the target schema.Conclusions: The importance of database integration methods and tools in the context of biomedical research has been widely recognized. Modern research in this area – e.g. identification of disease biomarkers, or design of personalized therapies – heavily relies on the availability of a technical framework to enable researchers to uniformly access disparate repositories. We present a method and a tool that implement a novel alignment method specifically designed to support and enhance the integration of RDF-based data sources at schema (metadata) level. This approach provides an increased level of expressiveness compared to other existing solutions, and allows solving heterogeneity scenarios that cannot be properly represented using other state-ofthe-art techniques.