Final Targets Research Articles

A customer satisfaction evaluation model for logistics services using fuzzy analytic hierarchy process

Purpose– As the modern manufacturing twining seamlessly with logistics operations for value adding services, logistics service is becoming more and more significant. Under this research background, the purpose of this paper is to introduce an innovative evaluation model for customer satisfaction using fuzzy analytic hierarchy process (FAHP).Design/methodology/approach– This model uses triangular fuzzy concept to determine the weight of each index so that subjective or objective weighting is addressed. A case study from two large express companies in China is used to demonstrate the feasibility and practicality of the proposed model for examining customer satisfaction.Findings– One of the key findings is that Company B has higher customer satisfaction than Company A due to its quick response and flexible logistics strategy. This paper has several contributions. First, A FAHP-based customer satisfaction evaluation model is proposed for the logistics service. Second, the triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method. Third, a case study demonstrates the implementation of the model.Research limitations/implications– First, this paper considers the fuzzy AHP for the customer satisfaction evaluation. Comparing with other multi-criteria decision-making methods like data envelopment analysis, evidential reasoning approach, and multi-attribute value theory will be carried out in the near future. Second, the manufacturing modes like make-to-order, make-to-stock, and mass-customized production may have different logistics support so that the final products may reach the final targets quickly. How to evaluate various mode-based logistics and their customer satisfactions have great significance. Finally, Big Data-enabled customer satisfaction evaluation approaches may be a possible solution.Practical implications– Based on the data from questionnaire, it is found that, in practical applications, manufacturing enterprises should amend the index system according to the specific business scope and the production characteristics. Manufacturing enterprises need to collect large amounts of data through market research and conduct the measurement on the related coefficient between the measurement indicators and customer satisfaction degree. After that, they can make sorting and filtering on the measurement index according to the measurement results.Social implications– Customer satisfaction is very important to manufacturing and logistics enterprises due to its time constraints. The physical products with services like logistics are paid close attention to by the final customers.Originality/value– The contribution of this paper is as follows: a FAHP-based customer satisfaction evaluation model is proposed for the logistics service; triangular fuzzy concept is introduced to determine the weight of each index so as to addresses the limitation of subjective or objective weighting method; a case study was used to demonstrate the implementation of the model. One of the key findings is that Company B has higher customer satisfaction than Company B due to its quick response and flexible logistics strategy.

Kolaviron attenuated arsenic acid‐induced cardiovascular dysfunction by enhancing antioxidant defense system and inhibiting inflammatory and apoptotic signaling pathways

Arsenic acid is one of the abundant environmental pollutants present in soil, water and the air. Undoubtedly, it has found its way to the food chain in which humans and animals are the final targets causing arrays of disease conditions including cardiovascular and renal dysfunction. Hence, the use of phytochemicals present in medicinal plants has gained global acceptance as chemotherapeutic agents that can prevent, ameliorate, reverse or treat diseases. From our study, Arsenic acid intoxication led to significant increase in heart rate (HR), QRS, together with prolonged QT and QTc. However, Kolaviron (KV) at the dosage of 100 and 200mg/kg body weight reversed the aforementioned electrocardiographic (ECG) changes. KV pre‐treatment also ameliorated cardiorenal dysfunction via significant reduction in cardiac and renal markers of oxidative stress such as malondialdehyde (MDA), hydrogen peroxide generation (H2O2), myeloperoxidase (MPO) activity and nitric oxide (NO) contents. Similarly, antioxidant deference system was significant improved in rats pre‐treated with KV. Immunohistochemistry revealed reduction in the expression of renal C‐reactive proteins (CRP) and increase in anti‐apoptotic protein BCL2 expression in KV treated rats. Furthermore, cardiac troponin I (CTnI) expression was lower in KV treated rats. Taken together, KV mitigated arsenic‐acid induced cardiovascular dysfunction via up‐regulation of antioxidant defense system and down‐regulation of inflammatory and apoptotic signaling pathways.

Rapid Access to Benzofuran‐Based Natural Products through a Concise Synthetic Strategy

AbstractA concise strategy is described for the synthesis of ailanthoidol (1), egonol (2), homoegonol (3), demethoxyegonol (4), demethoxyhomoegonol (5), and stemofuran A (6). This approach involves a Pd‐catalysed domino cyclization/coupling process using triarylbismuth reagents for the generation of the benzofuran core. Subsequent structural modifications then give the final targets. The high yielding synthesis of the recently isolated natural products egonol‐9(Z)‐12(Z)‐linoleate (2a), 7‐demethoxyegonol‐9(Z)‐12(Z)‐linoleate (4a), and 7‐demethoxy‐egonol‐9(Z)‐oleate (4b) are also reported.

MiRNA targeted signaling pathway in the early stage of denervated fast and slow muscle atrophy.

Denervation often results in skeletal muscle atrophy. Different mechanisms seem to be involved in the determination between denervated slow and fast skeletal muscle atrophy. At the epigenetic level, miRNAs are thought to be highly involved in the pathophysiological progress of denervated muscles. We used miRNA microarrays to determine miRNA expression profiles from a typical slow muscle (soleus muscle) and a typical fast muscle (tibialis anterior muscle) at an early denervation stage in a rat model. Results showed that miR-206, miR-195, miR-23a, and miR-30e might be key factors in the transformation process from slow to fast muscle in denervated slow muscles. Additionally, certain miRNA molecules (miR-214, miR-221, miR-222, miR-152, miR-320, and Let-7e) could be key regulatory factors in the denervated atrophy process involved in fast muscle. Analysis of signaling pathway networks revealed the miRNA molecules that were responsible for regulating certain signaling pathways, which were the final targets (e.g., p38 MAPK pathway; Pax3/Pax7 regulates Utrophin and follistatin by HDAC4; IGF1/PI3K/Akt/mTOR pathway regulates atrogin-1 and MuRF1 expression via FoxO phosphorylation). Our results provide a better understanding of the mechanisms of denervated skeletal muscle pathophysiology.

Evaluation of magnetic field homogeneity of a conduction-cooled REBCO magnet with a room temperature bore of 200 mm

Development of a high-temperature superconducting magnet wound with REBa 2 Cu 3 O 7-δ (REBCO)-coated conductor for ultrahigh-field magnetic resonance imaging (MRI) is in progress. Our final targets are 9.4-T MRI systems for whole-body and brain imaging. Since REBCO-coated conductors feature high mechanical strength under a tensile stress and high critical current density, superconducting magnets could be made smaller by using REBCO coils. Superconducting magnets for MRI require homogeneous stable magnetic fields. The homogeneity of the magnetic field is highly dependent on the size and current density of the coils. Furthermore, in REBCO magnets, the screening-current-induced magnetic field that changes the magnetic field distribution of the magnet is one of the critical issues. In order to evaluate the magnetic field homogeneity and the screening-current-induced magnetic field of REBCO magnets, a conduction-cooled REBCO magnet with a room-temperature bore of 200 mm was fabricated and tested. The REBCO coils were composed of 12 single pancakes, and the size of the homogeneous magnetic field region was 100-mm diameter spherical volume (DSV). The central magnetic field was as high as 1 T at 285 A. The magnetic field distribution on the z-axis was measured by using an NMR probe. The maximum error magnetic field was 470 parts per million (ppm) in the range from -50 to +50 mm, as well as in the coefficients of the spherical harmonic expansion for a 100-mm DSV. The error magnetic fields due to the screening-current-induced magnetic field were less than 5 ppm, because there was a sufficient distance between the coil and the homogeneous magnetic field region. The main reason for the error magnetic field was dimensional errors in the outer diameters and positions on the z-axis.

Assessment of a Key Message in Newly Diagnosed Type 2 Diabetes Mellitus Patients Considering Their Educational Program

Background: It is well known that therapeutic nutrition education provided to patients with new diagnosed type 2 diabetes mellitus is crucial in terms of subsequent adherence to a dedicated multi-factorial treatment. The patient could be empowered to act on insulin dose and/or on other aspects (calorie intake, therapeutically efforts and sleep schedule etc.) regarding the achievement of the final therapeutic targets. Objective: The aim of this retrospective study was to determine the impact of the message perceived by patients with new diagnosed type 2 diabetes mellitus on the means used in achieving metabolic control at 3 months of treatment after an initial educational program. Method: We performed a retrospective, case-control study of 143 patients with new diagnosed type 2 diabetes mellitus patients admitted to general hospital wards to investigate the relationship between remaining messages after attending our educational program with all methods to achieve adequate metabolic control. It was hypothesized that message have a great impact considering all methods to achieve this targets and are associated with a greater impact of dose insulin. Result: At the moment of evaluation we find that the dose of insulin is significantly different between the two lots: 0.43 ± 0.02 UI/Kgc vs. 0.13 ± 0.01 UI/Kgc, p <0.05; and the level of physical therapeutic effort is also significantly different 2.12 ± 0.35 MET/day vs. 3.51 ± 0.32 MET/day, p<0.05. At the same time weight loss, as well as HbA1c levels that the groups reached, have statistical significance (p<0.05). Conclusion: We could say at the final of our study that the main message of our program is associated with a lower dose of insulin used for treatment of type 2 diabetes mellitus patients.

Aircraft Detection in High-Resolution SAR Images Based on a Gradient Textural Saliency Map.

This paper proposes a new automatic and adaptive aircraft target detection algorithm in high-resolution synthetic aperture radar (SAR) images of airport. The proposed method is based on gradient textural saliency map under the contextual cues of apron area. Firstly, the candidate regions with the possible existence of airport are detected from the apron area. Secondly, directional local gradient distribution detector is used to obtain a gradient textural saliency map in the favor of the candidate regions. In addition, the final targets will be detected by segmenting the saliency map using CFAR-type algorithm. The real high-resolution airborne SAR image data is used to verify the proposed algorithm. The results demonstrate that this algorithm can detect aircraft targets quickly and accurately, and decrease the false alarm rate.

Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls

Expert video-surveillance systems are a powerful tool applied in varied scenarios with the aim of automatizing the detection of different risk situations and helping human security officers to take appropriate decisions in order to enhance the protection of assets. In this paper, we propose a complete expert system focused on the real-time detection of potentially suspicious behaviors in shopping malls. Our video-surveillance methodology contributes several innovative proposals that compose a robust application which is able to efficiently track the trajectories of people and to discover questionable actions in a shop context. As a first step, our system applies an image segmentation to locate the foreground objects in scene. In this case, the most effective background subtraction algorithms of the state of the art are compared to find the most suitable for our expert video-surveillance application. After the segmentation stage, the detected blobs may represent full or partial people bodies, thus, we have implemented a novel blob fusion technique to group the partial blobs into the final human targets. Then, we contribute an innovative tracking algorithm which is not only based on people trajectories as the most part of state-of-the-art methods, but also on people appearance in occlusion situations. This tracking is carried out employing a new two-step method: (1) the detections-to-tracks association is solved by using Kalman filtering combined with an own-designed cost optimization for the Linear Sum Assignment Problem (LSAP); and (2) the occlusion management is based on SVM kernels to compute distances between appearance features such as GCH, LBP and HOG. The application of these three features for recognizing human appearance provides a great performance compared to other description techniques, because color, texture and gradient information are effectively combined to obtain a robust visual description of people. Finally, the resultant trajectories of people obtained in the tracking stage are processed by our expert video-surveillance system for analyzing human behaviors and identifying potential shopping mall alarm situations, as are shop entry or exit of people, suspicious behaviors such as loitering and unattended cash desk situations. With the aim of evaluating the performance of some of the main contributions of our proposal, we use the publicly available CAVIAR dataset for testing the proposed tracking method with a success near to 85% in occlusion situations. According to this performance, we corroborate in the presented results that the precision and efficiency of our tracking method is comparable and slightly superior to the most recent state-of-the-art works. Furthermore, the alarms given off by our application are evaluated on a naturalistic private dataset, where it is evidenced that our expert video-surveillance system can effectively detect suspicious behaviors with a low computational cost in a shopping mall context.

Multi-stage multi-objective production planning using linguistic and numeric data-a fuzzy integer programming model

This paper introduces a methodology to solve a multi-stage production planning problem having multiple objectives, which are conflicting, non-commensurable and fuzzy in nature. The production process consists of multiple stages having one or more machines in each stage. Every processing stage produces work-in-process, semi-finished items as an output, which becomes an input to the subsequent stage either fully or partially depending on the cycle times of the machines. Events of machine breakdowns and imbalances in input–output relations in one or more stages may affect both work-in-process (WIP) and final production targets. Our paper provides a methodology based on fuzzy logic to maintain the desired balanced input–output relation at each stage and the targeted production output at the final stage. This is done by procurement of work-in-process inventory (WIP) and installation of new machines at appropriate stages. The objectives or goals expressed in linguistic terms are represented as fuzzy sets. The Induced Ordered Weighted Averaging (IOWA) operator is used to aggregate the objectives as per their priorities and finally to formulate the production process as a Mixed Integer Programming (MIP) problem. The solution to MIP shows the degrees of achievements of the production process objectives. The methodology is illustrated with a real life application of crankshaft productions in an automobile industry.

Beyond Cockpit-ism: Four Insights to Enhance the Transformative Potential of the Sustainable Development Goals

The Sustainable Development Goals (SDG) have the potential to become a powerful political vision that can support the urgently needed global transition to a shared and lasting prosperity. In December 2014, the United Nations (UN) Secretary General published his report on the SDGs. However, the final goals and targets that will be adopted by the UN General Assembly in September 2015 risk falling short of expectations because of what we call “cockpit-ism”: the illusion that top-down steering by governments and intergovernmental organizations alone can address global problems. In view of the limited effectiveness of intergovernmental efforts and questions about the capacity of national governments to affect change, the SDGs need to additionally mobilize new agents of change such as businesses, cities and civil society. To galvanize such a broad set of actors, multiple perspectives on sustainable development are needed that respond to the various motives and logics of change of these different actors. We propose four connected perspectives which can strengthen the universal relevance of the SDGs: “planetary boundaries” to stress the urgency of addressing environmental concerns and to target governments to take responsibility for (global) public goods; “the safe and just operating space” to highlight the interconnectedness of social and environmental concerns and its distributive consequences; “the energetic society” to benefit from the willingness of a broad group of actors worldwide to take action; and “green competition” to stimulate innovation and new business practices. To realize the transformative potential of the SDGs, these four perspectives should be reflected in the focus and content of the SDGs that will be negotiated in the run up to September 2015 and its further implementation.

Research on Domain-independent Opinion Target Extraction

Opinion Target Extraction is one of the important tasks for text sentiment analysis, which has attracted much attention from many researchers. For this task, we proposed an M-Score algorithm utilized in the model which realized the domain-independent opinion target extraction function. This algorithm is derived from the Pointwise Mutual Information algorithm, but the difference is that it doesn’t need any manual seeds collection or any web searching engines, which reduces the manual participation and easy to be transplanted. This model starts with document preprocessing, effective opinion sentences extraction and candidate opinion target extraction by employing Conditional Random Fields Model with feature templates. Next, the M-Score algorithm is employed to extract seed set, and the bootstrapping approach is invoked to process the candidate opinion targets. Finally, the model uses word frequency and the Noun pruning algorithm to filter the opinion targets, and then obtains the final opinion targets for output. The experimental results show that the M-score method performs better than Pointwise Mutual Information algorithm in precision and recall.

Neuronal and microglial regulators of cortical wiring: usual and novel guideposts.

Neocortex functioning relies on the formation of complex networks that begin to be assembled during embryogenesis by highly stereotyped processes of cell migration and axonal navigation. The guidance of cells and axons is driven by extracellular cues, released along by final targets or intermediate targets located along specific pathways. In particular, guidepost cells, originally described in the grasshopper, are considered discrete, specialized cell populations located at crucial decision points along axonal trajectories that regulate tract formation. These cells are usually early-born, transient and act at short-range or via cell-cell contact. The vast majority of guidepost cells initially identified were glial cells, which play a role in the formation of important axonal tracts in the forebrain, such as the corpus callosum, anterior, and post-optic commissures as well as optic chiasm. In the last decades, tangential migrating neurons have also been found to participate in the guidance of principal axonal tracts in the forebrain. This is the case for several examples such as guideposts for the lateral olfactory tract (LOT), corridor cells, which open an internal path for thalamo-cortical axons and Cajal-Retzius cells that have been involved in the formation of the entorhino-hippocampal connections. More recently, microglia, the resident macrophages of the brain, were specifically observed at the crossroads of important neuronal migratory routes and axonal tract pathways during forebrain development. We furthermore found that microglia participate to the shaping of prenatal forebrain circuits, thereby opening novel perspectives on forebrain development and wiring. Here we will review the last findings on already known guidepost cell populations and will discuss the role of microglia as a potentially new class of atypical guidepost cells.

One-pot total synthesis of streptindole, arsindoline B and their congeners through tandem decarboxylative deaminative dual-coupling reaction of amino acids with indoles.

This paper described a decarboxylative deaminative dual-coupling reaction of amino acids with indoles to afford BIM scaffolds and its further application to the one-pot total synthesis of natural products. This method featured a stimulating example of activating amino acids in one pot as multi-carbon building blocks for transformation into final targets which are equipped with amino acid side chain backbones.

Towards a Macroprudential Policy in the EU: Main Issues

The aim of the paper is to analyze the state of art of macroeconomic policies (MAP) with a focus on the case of the European Union. To this end the institutional framework of Map is introduced and discussed with regard to relations and/or conflicts with other policies; to agencies involved, their mandate, accountability and governance issues. The operative framework, intermediate and final targets and toolkit, is specifically analyzed with regard to the case of the European Union and the introduction, in 2011,of a macroprudential supervisory pillar based on the European Systemic Risk Board, ESRB. Finally the main issues facing the new European supervisory architecture are introduced: the organization of MAP within the Single Supervisory Mechanisms, SSM, the definition of the role of the ECB and of ESRB as far as macroprudential policy is concerned. In the conclusions we evaluate the new architecture which is quite complex and cumbersome, and the challenge that the SSM is facing: to achieve comprehensive, rational, effective and efficient supervision, avoiding overlapping of competences and clarifying the specific roles of different bodies while keeping away additional burdens for the institutions supervised.

Membrane domain formation-a key factor for targeted intracellular drug delivery.

Protein molecules, toxins and viruses internalize into the cell via receptor-mediated endocytosis (RME) using specific proteins and lipids in the plasma membrane. The plasma membrane is a barrier for many pharmaceutical agents to enter into the cytoplasm of target cells. In the case of cancer cells, tissue-specific biomarkers in the plasma membrane, like cancer-specific growth factor receptors, could be excellent candidates for RME-dependent drug delivery. Recent data suggest that agent binding to these receptors at the cell surface, resulting in membrane domain formation by receptor clustering, can be used for the initiation of RME. As a result, these pharmaceutical agents are internalized into the cells and follow different routes until they reach their final intracellular targets like lysosomes or Golgi. We propose that clustering induced formation of plasma membrane microdomains enriched in receptors, sphingolipids, and inositol lipids, leads to membrane bending which functions as the onset of RME. In this review we will focus on the role of domain formation in RME and discuss potential applications for targeted intracellular drug delivery.

The Hippo Kinase Pathway: a master regulator of proliferation, development and differentiation

Hippo signaling transduction pathway is widely conserved through evolution and controls cell growth, homeostasis, apoptosis, commitment, differentiation and senescence. It consists of a conserved kinase cascade whose final targets are the transcriptional coactivator Yorkie (Yki) in Drosophila and the homologues YAP and TAZ in mammals. These transcriptional coactivators are unable to bind DNA per se, and can regulate the activity of their target genes only in association with transcription factors. In Drosophila, Yki associates with the transcription factors Sd and Hth regulating pro-proliferative and anti-apoptotic genes. In mammals instead, YAP/TAZ can associate with several distinct transcription factors. This depends from the type of signals to which cells are subjected, the cell type and the developmental stage. The transcriptional outcome resulting from this association can be either pro-apoptotic or pro-proliferative. Hippo pathway dysregulation has been associated with several pathologic conditions (tissue overgrowth, developmental defects and cancer). In particular, solid tumors show an upregulation or hyperactivation of YAP/TAZ, while several hematologic tumors are associated with YAP downregulation. This might suggest that the Hippo pathway holds the potential to be an attractive target for novel therapeutic approaches for cancer.

A dual tyrosine kinase inhibitor lapatinib suppresses overexpression of matrix metallopeptidase 1 (MMP1) in endometrial cancer.

Endometrial cancers have been recently molecularly characterized; amplifications of human epidermal growth factor receptor 2 (HER2) were seen in 25% of the serous-like tumors, and mutations in the PI(3)K/AKT pathways were seen in 93% of endometrioid tumors. These new findings about endometrial cancer suggest a potential for targeted therapy with lapatinib, a dual inhibitor of epidermal growth factor receptor and HER2 tyrosine kinases. However, the clinical efficacy of lapatinib in phase II clinical trials for the treatment of endometrial cancers was only minimal. In this study, we investigated the signaling changes induced by lapatinib in endometrial cancer, which may improve its therapeutic efficacy in molecularly selected patient groups. We identified one of the final molecular targets of lapatinib to be interstitial collagenase, matrix metallopeptidase 1 (MMP1). Lapatinib suppresses MMP1 through EGFR and HER2, and their downstream ERK and AKT signaling pathways. We also found that the activating protein-1 binding site of MMP1 promoter is required for its transcriptional activation, which may be unique for endometrial cancers. Our results also showed that forced expression of active ERK or active AKT mutants rescued MMP1 expression from lapatinib suppression, further suggesting the importance of molecular selection to find appropriate patients with endometrial cancer for future clinical trials with any targeted therapies. MMP1 expression was high in tissues and sera in patients with endometrial cancer. Lapatinib inhibited MMP1 via both HER2 and EGFR signaling pathways. Both AKT and ERK need to be inhibited for efficient MMP1 suppression by lapatinib. Activating protein-1 (AP-1) binding site of MMP1 promoter is uniquely required for MMP1 activation in endometrial cancer. Suppression of both c-fos and c-Jun bound to AP1 binding site is required for lapatinib inhibition.

The expression of CPEB proteins is sequentially regulated during zebrafish oogenesis and embryogenesis

In many species, there is little transcription in the mature oocyte, and zygotic transcription does not begin immediately after fertilization. In zebrafish, zygotic transcription is not initiated until the mid-blastula transition, thus the production of new proteins during oogenesis and early embryogenesis is dependent on the translation of maternal mRNAs. In a growing number of species, the translation of key maternal transcripts is coupled to their cytoplasmic polyadenylation. One family of RNA-binding proteins implicated in this process is the cytoplasmic polyadenylation element (CPE)-binding proteins (CPEBs), which bind to a sequence in the 3'-untranslated regions of regulated transcripts and mediate their storage/repression or translation. In several species, there is evidence for two classes of CPEBs, a larger oocyte-type and a smaller CPEB that functions during embryogenesis. This appears to be the case in zebrafish as well, and we now provide evidence suggesting that the oocyte-type CPEB (zorba) regulates the translation of the embryonic-type (ElrA) by keeping the ElrA transcript in storage until fertilization. When zorba levels fall, ElrA protein is then produced and available to regulate the translation of additional mRNAs during embryogenesis. We have also identified a potential target of ElrA, the maternal mRNA for hnRNPab, which is a potential homolog of the Drosophila gene squid, whose product plays a role in patterning the Drosophila oocyte and embryo. These data suggest that during zebrafish embryogenesis, cytoplasmic polyadenylation mediates a cascade of translational control whose final targets play central patterning roles during embryogenesis.

Utilizing CodedUI Script to Realize the CT Scanning Procedure Automatically Test

It is indispensable and effective to utilize automatic software test method to verify the steady operations and stable performance of scanning procedures for CTs system. Directing at the problems which are encountered during the progress of the automatic test program development, In this paper, we discuss how to deal with such problems as windows blocking, identify control, one click start up to make sure the manual automatic test code explored via the Coded UI is useful and robust. It is the final targets too realize the stable operations of multiple CT scanning procedures.

Delivery and Application of Dietary Polyphenols to Target Organs, Tissues and Intracellular Organelles

At present, dietary polyphenols are popular with consumers because regular consumption of polyphenol-rich foods is likely to be beneficial for human health. However, administrated polyphenols are extensively metabolized in the digestive tract or some other parts before reaching the target organs. Additionally, some of the polyphenols are photosensitive, easily oxidized and are in unfavorable forms. Therefore, a lot of work has been performed to ensure delivery of intact polyphenols to the target organs. We here summarize recent progress in polyphenol-delivery to individual organs, tissues, and cells, in regard to relatively new delivery systems. Polyphenol-delivery systems can be divided into three categories: (i) before delivery into the blood stream (skin, mouth, gastrointestine), (ii) in the blood stream (plasma), and (iii) after the blood stream (brain, spleen, bone marrow, kidney). Polyphenols before the delivery into blood stream must overcome several obstacles to avoid converting into inactive forms by commensal microorganisms, environmental pH, and some others. In the blood, plasma-polyphenol interactions and modifications are very effective for the bioavailability of polyphenols with numerous enzymes. Native forms of polyphenols, successfully out of the blood stream, further go through obstacles such as the blood brain barrier to reach target organs. Recent progress in delivering polyphenols is here discussed on 3 main delivery systems, nanoparticle, liposome, and microemulsion. Moreover, we also focused on delivery systems to intracellular organelles (cell surface, lysosome, mitochondria, nucleus), which are the final targets of polyphenols to perform their beneficial reactions.