Assessing the impact of digital supply chain management on the sustainability of construction projects by Shahid Aziz, Prince Kumar, Anwar Baz Khan

“…Methodology: A stratified sampling approach is used in the research methodology to collect quantitative data from construction project managers and supply chain specialists using surveys and questionnaires. …”
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Exploring Undergraduate Research Projects Success Factors in Muni University, Uganda by Nicholas, Nkamwesiga, Phelix, Businge Mbabazi, Ritah, Nafuna

“…The study also found out that the key stakeholders (students, supervisors and faculty) perform their roles throughout the project period. However, there is a need to have a mechanism for project tracking, filing complaints, and having URPs externally examined, among others.…”
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Improving the Quality of Mountain Facilities: A Novel Project in the Dolomites Area by Vincenzo Marcotrigiano, Alice Prete, Chiara Canal, Angela Padoin, Erica Bino, Igor Campigotto, Alberto Lovat, Flavia Campigotto, Mattia Manzi, Jacopo Fagherazzi, Andrea Da Rech, Anna Voltolini, Nahuel Fiorito, Pamela D’Incà, Maria Parpinel, Sandro Cinquetti

“…Data were collected from a specific database via an application to join the project and from sampling reports of parameters investigated for evaluating the quality of water intended for human consumption. …”
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Underwater optical metrology for precision monitoring of marine habitats: the MANATEE project by E. Nocerino, E. Nocerino, F. Menna, A. Calantropio, F. Pinna, S. Del Pizzo, S. Farina, A. Giaquinto, A. Lambertini, M. Menghini, S. Mokhtari, F. Ragazzola, S. Troisi, L. Vittuari

“…The impact of temperature variations on its growth has only recently been investigated in the field, although with destructive sampling methods. The MANATEE (Monitoring and mApping of mariNe hAbitat with inTegrated gEomatics technologiEs) project aims to establish a non-destructive monitoring approach by leveraging geomatic techniques and underwater photogrammetry. …”
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The promising variety-samples of bastard saffron (Carthamus Tinctorius l.) In the Saratov region by О. A. Alekseev, V. S. Gorbunov, V. I. Zhuzhukin, S. A. Zaytsev, D. P. Volkov

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Future Time Orientation Scale: Psychometric Properties in a Sample of Brazilian Adolescents by Gibril Ussif, Lucy Leal Melo-Silva, Vinicius Coscioni

“…Measurement invariance models comparing the sample of this study with a sample of adults demonstrated metric invariance, with two intercepts being different across age groups. …”
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An Intelligent Sample Selection Method for Space-Time Adaptive Processing in Heterogeneous Environment by Chongdi Duan, Yu Li, Wei Wei Wang

“…Then, the generalized inner product value and the spatial included angle are used to work as two representative features for the training samples as well as the testing samples. Based on the feature vector, the multi-dimensional feature projection based on the kernel function is carried out to achieve the offline training classifier, and the testing samples are classified with intelligence in the multi-dimensional feature space by utilizing the trained support vector machine. …”
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Sample ascertainment and clinical outcome measures in the Accelerating Medicines Partnership® Schizophrenia Program by Jean Addington, Lu Liu, Amy Braun, Andrea Auther, Monica E. Calkins, Barbara A. Cornblatt, Cheryl M. Corcoran, Paolo Fusar-Poli, Melissa J. Kerr, Catalina V. Mourgues-Codern, Angela R. Nunez, Dominic Oliver, Gregory P. Strauss, Barbara C. Walsh, Luis K. Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Ricardo E. Carrion, Eric Yu Hai Chen, Jimmy Choi, Michael J. Coleman, Philippe Conus, Covadonga M. Diaz-Caneja, Dominic Dwyer, Lauren M. Ellman, Masoomeh Faghankhani, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Hui, Grace R. Jacobs, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Kathryn E. Lewandowski, Daniel Mamah, Patricia J. Marcy, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Nora Penzel, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, William S. Stone, Andrew Thompson, Judy L. Thompson, Rachel Upthegrove, Swapna Verma, Jijun Wang, Heather M. Wastler, Alana Wickham, Inge Winter-van Rossum, Daniel H. Wolf, Sylvain Bouix, Ofer Pasternak, Rene S. Kahn, Carrie E. Bearden, John M. Kane, Patrick D. McGorry, Kate Buccilli, Barnaby Nelson, Martha E. Shenton, Scott W. Woods, the Accelerating Medicines Partnership® -Schizophrenia, Alison R. Yung

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Measurement of radioactivity and hazard index of Gonadal dose in selected Cement samples in Iraq by Abdulhussein Abdalmear Alkufi, Shatha Farhan Alhous, Shaymaa Awad Kadhim

“…In this investigative study, nine samples of cement, both domestic and imported, that are often used in construction projects in Iraq were gathered. …”
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Sample Rocks Tests and Slope Stability Analysis of a Mine Waste Dump by Ping Zou, Ximo Zhao, Zhonghua Meng, Aibing Li, Zhengyu Liu, Wanjie Hu

“…Afterwards, these sample waste rocks, of which grain size is less than 5 cm, were selected for indoor large-scale shear test under natural and saturated conditions. …”
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Estimating Recent US Limb Loss Prevalence and Updating Future Projections by Julio A. Rivera, PhD, Kara Churovich, MPH, Ashley B. Anderson, MD, Benjamin K. Potter, MD

“…Lastly, we use a linear regression to estimate future projections of limb loss prevalence. Setting: Open-sourced data from the National Inpatient Sample, Healthcare Cost and Utilization Project. …”
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RETRACTED: SOVIET SOCIAL AND POLITICAL SYSTEM IN THE EARLY 1920-S: PROJECTS AND REALITY by A. V. Dolgov

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ROBOTIC ART IN THE CASE STUDY OF THE INFERNO PERFORMANCE (TRANSHUMANIST PROJECTS IN REALITY) by Yulia V. Khvastunova

“…Secondly, the article emphasizes the role of the experiment when, through robotic art, the “voluntary” monitoring of the reactions of the performance viewers is carried out, and the viewers serve as experimental samples or transhumans in the context of the “human enhancement” project.…”
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Research on In-situ Sludge Solidification in the Ecological Refuse Landfill Closure Project by ZHANG Xiaoyu, ZHOU Xianjin, CAO Jun

“…For the site pilot test of in-situ sludge solidification in a large ecological landfill closure project in southwest China,this paper adopts five kinds of curing agent mix ratios for site construction,adds curing agent and conducts in-situ mixing with cleaning and mixing equipment after pretreatment of sludge,and drills and samples the treated refuse soil after rolling and curing.The test results show that the sludge treated with five kinds of curing agents could meet the design requirements on pH,moisture content,shear strength and unconfined compressive strength.Through the comparison of shear strength and unconfined compressive strength,the effect of No.5 curing agent is the best,that is,in the curing agent,the ordinary silicate content is 19.3%,the fly ash content is 6.43%,and the curing agent ratio is 25.73%.In the actual construction,the No.5 mix ratio is widely used.In addition,according to the difference of physical properties of sludge in level and treatment direction,the mix ratio of curing agent and the parameters of mixing equipment shall be adjusted appropriately to ensure the uniformity of sludge curing effect.…”
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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
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Towards carbon neutrality in construction projects based on life cycle assessment by Nguyen Van Son, Pham Ngoc Thinh, Le Trung Phong, Bui Le Khanh

“…Data were obtained from the IMPRO-Building project, which analyzed 72 building samples across three distinct climate zones in Europe. …”
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Nurturing Learning and Engagement Through Student Perceptions of Project-Based Learning by Atta Abdalwahid Ahmed

“…Project-Based Learning (PBL) refers to an instructional approach where students engage in exploring and solving real-world, complex problems over an extended period. …”
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New methods for gathering the spatial data from land consolidation project by Mária Leitmanová, Jaroslav Bažík, Zlatica Muchová

“…Land consolidation projects in the Slovak Republic have reached the state where there is sufficient sample of valuable information (planimetric and hypsographic measurements, updated maps of estimated pedologic-ecological units, concepts of local territorial system of ecological stability, plans for the general principles of functional organization of the territory, etc.) for society. …”
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Analysing The Causes of Management and Production Delays in The Implementation of Construction Project Work by Putri Lynna Luthan, Nathanael Sitanggang, Syahreza Alvan, Wisnu Prayogo

“…The research sample consists of 56 respondents who are directly involved in the implementation of construction projects (owners, consultants, contractors, field supervisors, and estimators). …”
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Utilization of Artificial Intelligence (AI) in Completing Final Project at University Level by Lelly Zuyana Asril, Vina Fathira

“…The population in this study were students from the English Literature Study Program who were completing their final projects, with a sample of 10 students selected purposively. …”
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