Article Recommends Research Articles

STATE REGULATION IN THE SPHERE OF CUSTOMS CONTROL OF UKRAINE: EU EXPERIENCE AND PROSPECTS FOR DEVELOPMENT

The article analyzes the experience of the EU in the implementation of state regulation in the field of customs control, in particular: it analyzes the mechanism for determining the customs value of goods, its regulatory, institutional, procedural and organizational support. The purpose of the article is to analyze the experience of the EU regarding the implementation of simplified declarations and the possibility of taking it into account in the field of state regulation of the customs sphere of Ukraine. The article uses the historical method of revealing the historiography of state regulation in the field of customs control of the EU and Ukraine. The method of analysis and synthesis was used to substantiate the conceptual and strategic ways of implementing state regulation in the field of customs control, in particular, to introduce such specific customs mechanisms to simplify customs procedures, customs declarations, and form public consolidated institutions to improve the provision of customs services. Of the special methods, the method of assessed value of goods and services was used to analyze the implementation of simplified EU declarations. Special attention is paid to the issue of additional simplification, which allows the customs authorities to authorize the estimated value for elements of value unknown at the time of importation. The criteria for obtaining permits for the use of additional simplification are analyzed. An analysis of the regulatory prerequisites for the introduction of simplified declarations in the EU, in particular the World Custom Organization (WCO) on Customs Valuation Agreement (CVA), the General Agreement on Tariffs and Trade (GATT), the GATT Valuation Code, the Customs Valuation Agreement, has been carried out. The article recommends and justifies the innovative measures necessary for the implementation of CVA, in particular, those included in the revised WCO Kyoto Convention: simplification of procedures, computerization, strengthening of internal controls and management systems, provision of preliminary assessment decisions, introduction of risk assessment management and strengthening of post- customs audit; and the introduction of authorized economic operator programs.

Recommendations for the measurement of sexual steroids. A step forward in the silent revolution of mass spectrometry.

Article Recommendations for the measurement of sexual steroids. A step forward in the silent revolution of mass spectrometry was published on March 10, 2023 in the journal Advances in Laboratory Medicine / Avances en Medicina de Laboratorio (volume 0, issue 0).

A Sampling of Highlights from the Literature

What We're Reading| March 01 2023 A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors Author & Article Information Online ISSN: 2326-6074 Print ISSN: 2326-6066 ©2023 American Association for Cancer Research2023American Association for Cancer Research Cancer Immunol Res (2023) 11 (3): 277. https://doi.org/10.1158/2326-6066.CIR-11-3-WWR Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Article Versions Icon Versions Version of Record March 1 2023 Citation A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors. Cancer Immunol Res 1 March 2023; 11 (3): 277. https://doi.org/10.1158/2326-6066.CIR-11-3-WWR Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search Advanced Search Human fibrinogen E domain (from 5-HT2AR via Wikimedia Commons) Incomplete surgical removal of a solid tumor increases a patient's risk for local tumor recurrence. Using xenograft models of incomplete excision of pancreatic ductal adenocarcinoma (PDAC) and triple-negative breast cancer (TNBC), Uslu and colleagues show that intra-operative application of mesothelin-targeted chimeric antigen receptor (CAR) T cells in a fibrin glue–based carrier results in clearance of residual tumor cells and increased survival compared with the same application of the CAR T cells into the tumor cavity in the absence of fibrin gel. The treatment had limited on-target off-tumor toxicity and did not lead to wound healing complications, supporting its clinical evaluation. Uslu U, …, June CH. Sci Adv 2023 January 11;9:eade2526. Neutrophil (from Blausen Medical via Wikimedia Commons) Neutrophils have a complex role in cancer. They often promote tumor growth and metastasis but can exert antitumor activity in certain contexts. Using... You do not currently have access to this content.

Frequency Regulation for State-Space Model-Based Renewables Integrated to Multi-Area Microgrid Systems

This paper focuses on effective frequency regulation of isolated multi-area microgrid structures using polynomial functions extracted from the modelling of renewable sources. This paper highlights the necessity of state-space (SS) formation for intermittent renewables such as solar and wind for specified quantities compared with the standard functions. The approximate gain and time constants for the variable generating sources used in the literature cannot be rationalized while carrying out frequency regulation since it does not epitomize the system dynamics. Thus, the article recommends non-linear modelling of renewables for executing frequency regulation in MATLAB/Simulink. The supremacy of the proposed work in the presence of a 3-degree of freedom (DOF)-based fractional PID controller aided with a recently evolved Artificial Hummingbird Algorithm (AHA) is determined through the transient and sensitivity analysis. The augmented results proved the outstanding response of AHA-optimized 3DOF-FOPID-based systems when compared with the existing controllers under variable operating conditions. Stringent evaluation is executed in the presence of commonly used heuristic approaches for witnessing the robustness of the optimized controller. The proposed system’s hardware-in-loop (HIL)-based implementation is also presented in the paper for a significant characterization of its working in the physical environment.

United states sanctions and nuclear disarmament in North Korea

More than five United States administrations have employed unilateral and multilateral sanctions on North Korea; the same tool of coercion exerted on Iran, yet all efforts to record a successful nuclear deal with North Korea has proved abortive till date. This article seeks to address a key question: How do United States sanctions influence the behavior of North Korea towards nuclear disarmament? The aim is to analyze sanctions effectiveness with particular reference to the role of the United States in the denuclearization of the Korean peninsula. The theory adopted was political realism, which argues that power and coercion are major instruments for achieving state’s national interests. This article relied on secondary data which were analyzed through content analysis. The finding of the article suggests that United States sanctions have limited impact on the behavior of North Korea as the Supreme leader of North Korea continues with the aggressive behavior of six nuclear testing between 2006 to November, 2017. The key factor that undermines the effectiveness of the United States sanctions includes lack of credibility and relative menace in US use of coercion over North Korea, lack of airtight implementation of sanctions on North Korea, Plurality of objectives and the indoctrination of North Korea Juche Ideology. The study concludes that the United States ultimate goal of complete, verifiable and irreversible denuclearization (CVID) in Korean Peninsula is an inconsistent policy objective of various US administrations which conflicts with North Korea’s national interest. This article recommends setting up eagle-eyed monitoring committees to keep track on sanctions implementations protocols within United States ranks and member states of United Nations with the aim of tightening loopholes militating airtight execution of agreed sanctions.

A Sampling of Highlights from the Literature.

What We're Reading| January 03 2023 A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors Author & Article Information Online Issn: 2326-6074 Print Issn: 2326-6066 ©2022 American Association for Cancer Research2022American Association for Cancer Research Cancer Immunol Res (2023) 11 (1): 1. https://doi.org/10.1158/2326-6066.CIR-11-1-WWR Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Article Versions Icon Versions Version of Record January 3 2023 Citation A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors. Cancer Immunol Res 1 January 2023; 11 (1): 1. https://doi.org/10.1158/2326-6066.CIR-11-1-WWR Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search Advanced Search Myocarditis is the most lethal ICI-associated adverse event (from OpenStax Anatomy and Physiology via Wikimedia Commons) Myocarditis is a rare, often fatal, and poorly mechanistically understood adverse event associated with immune checkpoint inhibitor (ICI) therapy. Axelrod et al. find that in a mouse model of ICI-associated myocarditis—Pdcd1–/–Ctla4+/–mice—CD8+ T cells are necessary for fatal myocarditis to develop. The cardiac-infiltrating CD8+ T cells are highly clonal, with the T-cell receptors (TCR) from three clones recognizing MHC class I–presented α-myosin peptides. The clinical relevance of the data is supported by the detection of α-myosin–specific MHC class I–restricted TCRs in cardiac and skeletal muscle of patients with ICI-associated myocarditis. Axelrod ML, …, Balko JM. Nature 2022 November 16;611:818–26. Research is identifying new ways to enhance the antitumor activity of CAR T cells (from Alex Ritter, Jennifer Lippincott Schwartz, and Gillian Griffiths via NIH Flickr) Many research... You do not currently have access to this content.

Recommendation System for Mental Health Article on Circle Application

Healthy mental health is a condition when minds are in a state of peace and calm and not disturbed, thus enabling us to enjoy our daily lives with respect for others. In Indonesia, there are quite a number of sufferers of mental health disorders, approximately 19 million people over the age of 15 experience mental and emotional disorders, both at mild to severe levels. These data show that the Indonesian state has not been able to properly address mental health problems and that the existence of a pandemic tends to increase sufferers of mental health disorders, which if left unchecked will have a negative impact. Based on this problem, the Circle application, that focuses on mental health using Android technology that supports self-help with several services, one of which is an article service. The article service in the Circle application requires a recommendation system that can recommend articles according to the mental health conditions experienced by users so that the articles are able to alleviate the mental health problems currently experienced by users. Topic Modeling is an approach to analyze a collection of text documents and group them into topics. Topic Modeling has several methods that can be applied in making topics, one of which is BERTopic. It is a technique that leverages Transformer and c-TF-IDF to create dense clusters, preserving keywords in topic descriptions while making topics easier to interpret. There are 3 important components of the BERTopic algorithm namely Document Embedding, Document Clustering, Topic Representation. This study uses Topic Modeling with the BERTopic method as the baseline for the mental health article recommendation system in the circle application.

Environmental problems in the transportation of petroleum products in Kazakhstan

The presented article tells about the placement of countries in terms of reserves and processing volumes. About the state of oil production and oil refining in Kazakhstan and the presence of environmental risks in the transportation of petroleum products. Without the transportation of oil and oil products, economic development is impossible. For Kazakhstan, the possibility of organizing the correct transit of oil and oil products is an urgent task. The profits from transportation should be commensurate with the environmental risks in the event of an accident. To reduce environmental risks, the authors of the article recommend using only modern specialized vehicles, tight control when unloading oil products at small gas stations and huge fines if spills and leaks are allowed. For multimodal transportation, it is recommended to use flexitanks and conduct constant environmental monitoring in the process of transporting oil and oil products. All this can easily be done if there is mandatory certification according to ISO 14000 standards.

Major Themes in the Study of Ethiopian Customary Laws (Amharic)

The literature covered in this Article reveals different perspectives. On the one hand, there is the idea that customary law systems should be set aside as they are inimical to national development and unity. On the other hand, there is the view that those customary legal systems which do not offend individual rights shall be given due place owing to their multifaceted benefits while only those customary laws which violate individual rights shall be abolished is gaining importance. The issue of whether customary laws should be given recognition on account of collective identity or because of their instrumental value is not addressed in the researches reviewed. The interface between customary law systems and state legal system is not fully investigated in the existing literature on the subject. There is some research conducted on customary law systems of Ethiopia on the initiative and financial support of the Government at Federal or regional levels. The initiative aims at deploying these researches as inputs for legal and institutional reform, to use them for the benefit of the current generation as well as to preserve, improve and pass them on to the next generation. This article recommends that researches on customary law systems of Ethiopia conducted by anthropologists, social workers, historians and political scientists deserve future review as the current article has not considered them. Those customary legal systems of Ethiopia which are not yet studied or insufficiently studied warrant exploration. Notwithstanding various research initiatives with the financial support of international institutions, there is a need to have government-led and financed study on customary systems of the country. There should be an institution which assumes this responsibility. The extent of recognition given to customary law systems in the Federal Constitution, proclamations and policies should be duly examined; and there should be policy and detailed legal framework regarding customary law systems of the Country.

Critical review of School Health & Nutrition Program for achieving Advance Preventive Healthcare for Children in Punjab

The School Health and Nutrition (SHN) program was launched in year 2007-08 in different districts of Punjab, Pakistan. As the core of this program, School Health and Nutrition Supervisors (SHNS) were hired as the main agents to implement the program’s objectives. These SHNS were appointed at Basic Health Units (BHUs) and tasked with the objectives to screen the children in public schools, identify sick children, ensure their medical treatment, referrals, and follow-ups along with conducting health education sessions in their respective schools and communities. The current paper attempted to assess the performance of this program and suggested succinct measures to reform it in order to achieve its desired objectives. It included the analysis of the reasons and bottlenecks due to which the highlighted anticipated outcomes of this program could not be fully realized. After analyzing the qualitative and quantitative shortcomings in the design and implementation of this program, the current article recommends workable solutions based on strategic revisions in both the clinical as well as the procedural part of the program.
 Keywords: adolescent health, preventive healthcare system, rural health, rural nutrition program, school children

Recent advances in polymer and perovskite based third-generation solar cell devices

This review article begins with a comparative overview of the configurations, materials, fabrication methods, and energy conversion efficiency of polymer and perovskite solar cells' photovoltaic performances. Firstly, there has been a significant increase in the adoption of solar cells due to the growing need for renewable and clean energy. Among all photovoltaic technologies, polymer and perovskite solar cells have garnered considerable attention owing to their potential to be affordable, lightweight, easy to manufacture, and quick charging. Research on polymer solar cells has spanned over two decades, whereas the use of perovskite solar cells is just eight years old. This expanding topic offers a wealth of information to readers interested in polymers and perovskite. As a basic comparison, the best power conversion efficiency results are 21.6 percent for a 1 cm2 perovskite solar cell and 15.2 percent for polymer solar cells. Finally, this article recommends necessary improvements and future research areas in polymer and perovskite solar cells.

Emati: a recommender system for biomedical literature based on supervised learning

The scientific literature continues to grow at an ever-increasing rate. Considering that thousands of new articles are published every week, it is obvious how challenging it is to keep up with newly published literature on a regular basis. Using a recommender system that improves the user experience in the online environment can be a solution to this problem. In the present study, we aimed to develop a web-based article recommender service, called Emati. Since the data are text-based by nature and we wanted our system to be independent of the number of users, a content-based approach has been adopted in this study. A supervised machine learning model has been proposed to generate article recommendations. Two different supervised learning approaches, namely the naïve Bayes model with Term Frequency-Inverse Document Frequency (TF-IDF) vectorizer and the state-of-the-art language model bidirectional encoder representations from transformers (BERT), have been implemented. In the first one, a list of documents is converted into TF-IDF-weighted features and fed into a classifier to distinguish relevant articles from irrelevant ones. Multinomial naïve Bayes algorithm is used as a classifier since, along with the class label, it also gives the probability that the input belongs to this class. The second approach is based on fine-tuning the pretrained state-of-the-art language model BERT for the text classification task. Emati provides a weekly updated list of article recommendations and presents it to the user, sorted by probability scores. New article recommendations are also sent to users' email addresses on a weekly basis. Additionally, Emati has a personalized search feature to search online services' (such as PubMed and arXiv) content and have the results sorted by the user's classifier. Database URL: https://emati.biotec.tu-dresden.de.

A Sampling of Highlights from the Literature.

What We're Reading| December 02 2022 A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors Author & Article Information Online Issn: 2326-6074 Print Issn: 2326-6066 ©2022 American Association for Cancer Research2022American Association for Cancer Research Cancer Immunol Res (2022) 10 (12): 1421. https://doi.org/10.1158/2326-6066.CIR-10-12-WWR Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Cite Icon Cite Search Site Article Versions Icon Versions Version of Record December 2 2022 Citation A Sampling of Highlights from the Literature: Article Recommendations from Our Deputy and Senior Editors. Cancer Immunol Res 1 December 2022; 10 (12): 1421. https://doi.org/10.1158/2326-6066.CIR-10-12-WWR Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search Advanced Search D-2HG inhibits CD8+ T-cell function (from Alex Ritter, Jennifer Lippincott Schwartz and Gillian Griffiths via NIH Flickr) D-2-hydroxyglutarate (D-2HG), which accumulates in cancers with mutations in isocitrate dehydrogenase 1 (IDH1) and IDH2, can act as an oncometabolite by promoting cancer-cell intrinsic epigenetic alterations. Notarangelo et al. show in preclinical models that D-2HG also inhibits CD8+ T-cell proliferation, cytotoxicity, and IFNγ production, which are all critical for antitumor immunity. These effects, which are acute and reversible, occur because D-2HG alters CD8+ T-cell metabolism by inhibiting lactate dehydrogenase activity, thereby altering glycolytic flux and NAD(H) balance. Samples from patients with IDH-mutant glioma similarly show reduced lactate levels and IFNγ signatures, highlighting the clinical relevance of the data. Notarangelo G, …, Haigis MC. Science 2022 October 5;377:1519–29. NK cells with two CARs show enhanced antitumor activity (from NIAID via Wikimedia Commons) Natural killer (NK) cells engineered to... You do not currently have access to this content.

Using Autoregulation to Safely Return to Weightlifting During Cancer Treatments

ABSTRACT Masters-level weightlifters diagnosed with cancer can return to training as a part of a successful treatment plan. Many older adults at higher risk for cancer participate in masters weightlifting meets worldwide. Resuming activities enjoyed before diagnosis is part of a return to normalcy for these athletes. This article recommends using autoregulation integrated with periodization principles to account for changes in the body due to surgery, side effects from masters cancer treatments, and age-related declines that affect masters athletes. Surgery, chemotherapy, and radiation therapy require adjusting workouts from prediagnosis levels to insure a safe and successful recovery while athletes experience side effects from treatments. Autoregulation is recommended to help strength and conditioning specialists assist in daily exercise prescriptions for patients with cancer who experience good and bad days during months of treatment cycles. Resistance training is an evidence-based practice for a successful recovery, and existing literature provides a basis for recommendations found in this article to support program development for masters weightlifters returning to advanced resistance training.

Using Lyman-α to probe the interior and edges of the heliosphere

Understanding the role of neutral atoms in the heliospheric interface (between the bow shock and heliopause) is critical to identifying dynamics within our local bubble. This article recommends building upon existing measurements with new, high-spectral resolution observations of H Lyman-α, from a heliospheric mapping mission, to resolve the momentum exchange in reactions between the solar wind and energetic neutral atoms that are key to identifying the most important heliospheric processes.

Graph-embedding-inspired article recommendation model

Intelligent recommendation systems(IRSs) need to face the problems of sparse data and cold start. As one of the intelligent recommendation scenarios, article recommendation has rich and various article information, which is a significant difference from other scenarios. However, the existing methods of article recommender do not fully consider the article information or ignore the implicit correlation between users and articles. Therefore, this paper proposes a Graph-Embedding-inspired Article Recommendation Model (GE-ARM): we capture the “User-Article” correlation feature embeddings by constructing a Bipartite Graph with Resource Allocation (RA-BG); considering the different contributions of the “Title, Abstract” and “Tag, Citation”, design an Attention-based Dual-AutoEncoder, combining with Collaborative Filtering to fully capture the article feature embeddings; and update the correlation and article feature embeddings with Probabilistic Matrix Factorization to perform the final recommendation task. The experimental results highlight that GE-ARM outperforms the other known methods on four datasets.

Prediction of Mixed-mode I and II effective fracture toughness of several types of concrete using the extreme gradient boosting method and metaheuristic optimization algorithms

Complex sample preparation procedures, the necessity for highly accurate and sensitive instruments, early sample failure, and brittle samples all contribute to the difficulty of measurement of concrete fracture toughness (CFT) in the laboratory. With such limitations on the measuring CFT, it is necessary to develop new and more effective tools. Machine learning (ML) methods are promising tools for non-linear time series prediction. In this study, six extreme gradient boosting (XGBoost)-based meta-heuristic algorithms, including standard XGBoost, XGBoost-particle swarm optimization (PSO), XGBoost-imperialist competitive algorithm (ICA), XGBoost-grey wolf optimization (GWO), XGBoost-shuffled frog leaping algorithm (SFLA), and XGBoost-genetic algorithm (GA) were developed to predict the effective fracture toughness (K_eff) of concrete, utilizing 560 datasets obtained from the central straight notched Brazilian disc (CSNBD) test. Additives of micro silica and powdered stone, which are the most widely used building materials were used in the concrete samples to investigate their effect on the physical and mechanical properties. Therefore, 10 different materials made from a combination of concrete and different percentages of additives, were used in the experiment. The datasets included six input parameters effective on the K_eff, including concrete type (ST), diameter (D), thickness (t), length (L), force (F), and crack angle (α). The XGBoost-based models' performances were compared with those of each other and with four other ML methods of Gaussian process regression (GPR), decision trees (DT), support vector regression (SVR), and K-nearest neighbors (KNN). The ML models’ performance in the prediction of K_eff for both holdout and 5-fold methods from high to low is XGBoost-PSO, XGBoost-ICA, XGBoost-GWO, XGBoost-SFLA, XGBoost-GA, XGBoost, GPR, SVR, DT, and KNN. Considering the datasets utilized in this research, the feature selection method's sensitivity analysis revealed that, except for the parameter D, all other parameters considered in this study, significantly affect the K_eff. By developing the meta-heuristic methods, the ability of the XGBoost-based methods was significantly improved. Finally, this article recommends using the XGBoost-PSO hybrid model to predict the K_eff. This work’s significance is that it allows geotechnical engineers to accurately estimate the K_eff of different types of concrete. In this way, the high time and cost required for the CSNBD test can be eliminated.

Impact of Key Players in Providing Sustainable Water Services in Busega District, Tanzania

Purpose: The purpose of this study is to investigate the impact of key players in providing sustainable water services to rural women in Busega District, Tanzania. Triple-S (Sustainable Services at Scale) approach was adopted to analyse structures applied by key players/actors to deliver services and enable rural women to access water close to their households.
 Design/Methodology/Approach: The study was conducted through cross-sectional design to examine the existence of the situation at single visits. The sample size included 210 rural women who were visited in their households. A mixed research approach was applied to collect both qualitative and quantitative data. As such, primary data was collected by using household surveys, semi-structured interviews, non-participant observations and focus group discussions. Instruments used for collecting data were sets of questionnaire, interview guides or checklists and observations. In addition, documentaries were reviewed to collect secondary data. Content analysis was done to consolidate qualitative data. Quantitative data were analysed through One-Way ANOVA to compute a five-point Likert scale, descriptive statistics and Chi-square test.
 Findings: Results revealed that only 35% of the respondents received sufficient water supplies from key players/actors due to weak structures and poor management of their services.
 Research Limitation: The study involved rural women whereas during the household survey most of them were occupied by several duties that resulted in scheduling dialogues by considering their daily schedules.
 Practical Implication: The article recommends that to ensure sustainable access to and use of water services in rural areas, the Ministry of Water and Energy need to construct reliable sources and facilitate local key players/actors to improve their services and meet the required demands.
 Social Implication: The article provides knowledge to literature by creating awareness to water key players/actors to apprehend how their services were highly desired by rural women to reduce their workload of walking long distances.
 Originality/Value: The article revealed that key players/actors who provided water services failed to ensure sustained access to fundamental supplies in rural areas.

MISSING OLDER ADULTS IN A GENTRIFYING DOWNTOWN: Detroit's Rebrand for a Young and Talented Pool of Residents

Very little research has focused on how age factors into gentrification processes and how place branding helps drive gentrification. Scholarship on gentrification has engaged with the ways that race and class intersect to marginalize long-time residents politically and economically in the context of gentrification, but rarely analyzes the important role that age plays in exclusion, or how it is represented materially in the branding of changing neighborhoods. To address this gap, this article aims to present a better understanding of how age plays into representation in new developments through the branding of downtown Detroit as a young, hip place to live, work and play. The article outlines how older adults are excluded from the reimagining of the ‘new Detroit’ using a content analysis of media articles, social media, promotional materials and downtown redevelopment strategies. This analysis showed limited representation of older adults in new developments, activities and public spaces downtown. Instead, images focused on younger people, young families and young professionals enjoying downtown amenities, often highlighting their perceived economic contributions. Biased representations of changing neighborhoods create barriers to developing an age-friendly city. These findings inform the article's recommendations directed at planners and developers on how older adults can be better accommodated and included in the development boom of downtown Detroit.

The Talent Management and Strategic Perspectives of Their Preoccupation and Commitment in High Research Institutions

The aim of paper is to investigate the influences of elements (fluctuation, employee reward system and career management) within the talent management strategy in scientific institutions. Across theoretical background which is closely with the thematic talent management and strategic perspectives of their preoccupation and commitment and talent career development and satisfaction at work will be preset the theoretical based for model testing. The model testing will test by quantitative deductive approach which their self will show the results by using statistical analyses. According to results we can conclude that, the Satisfaction at work p=131 Preoccupation with work p=,283Commitment to the organization,059 Work experience=432 are variables that positive influence on talent created and negative the statute of the new worker p=-,140. The main recommendation of articles is compilation of the unifying human resources development strategy in all scientific institutions, compilation of the strategy for talent management in all scientific institutions., creation and application of government institutions for the supervision of talents.