Successful History Research Articles

Design for Manufacturing and Assembly (DfMA) in Construction: A Holistic Review of Current Trends and Future Directions

The construction industry, despite its anticipated significant growth, has struggled with low productivity over the past two decades. Design for manufacturing and assembly (DfMA), a methodology with a history of success in other industries, presents a promising solution to enhancing efficiency in construction. This article reviews the current state of DfMA in the construction industry, identifies the most recent research themes in the field of DfMA, and provides recommendations for future DfMA research based on the existing research gaps. The paper employs a mixed-method approach, combining quantitative bibliometric analysis and qualitative thematic analysis. Using Scopus as the literature database, the study identified 43 relevant articles published between 2013 and 2023. The bibliometric analysis reveals a growing interest in DfMA research, with an upward trend in publications over the years. The thematic analysis categorizes DfMA research topics into six main themes: Innovation and Technology Trends, Sustainability and Environmental Impact, Regulatory and Policy Considerations, Collaborative Approach, Applications, Benefits, and Challenges, and Project Lifecycle. Each theme is explored in-depth, providing insights into the transformative impact of technology, environmental considerations in DfMA, regulatory challenges, collaborative strategies, varied applications, and the project lifecycle phases influenced by DfMA. The article concludes by presenting identified research gaps and offering recommendations for future DfMA research. It emphasizes the need for a holistic approach, continued collaboration, and a focus on unexplored aspects of regulatory frameworks and the entire project lifecycle. This study sets a new benchmark in DfMA research by employing a novel mixed-method approach and providing unprecedented insights into the multifaceted role of DfMA in advancing construction industry practices. It serves as a valuable resource for researchers, practitioners, and stakeholders in the construction industry by offering a comprehensive understanding of DfMA’s current state and guiding future research endeavors.

Two new single/multi-objective multi-strategy algorithms for the parametric estimation of dual band-notched ultra wideband antennas

This article introduces a novel single objective and a multi-objective multi-hybrid naked mole-rat (moIGDN) algorithm optimization techniques for solving numerical benchmarks and electromagnetic engineering problems. The hybridization was introduced to overcome the basic naked mole-rat algorithm’s (NMRA’s) local optima stagnation and poor exploration problems. The global exploration search equations of INFO, gazelle optimization algorithm (GOA), and dwarf mongoose optimization algorithm (DMO) have been added into the NMRA’s worker phase. Additionally, five mutation operators have been introduced for parametric enhancements and adaptations. For single-objective performance evaluation, three benchmark datasets namely classical benchmark, CEC 2014, CEC 2017, and CEC 2022 have been analysed. A comparison with JADE, SaDE, CMA-ES, success history based DE (SHADE), fractional-order calculus-based FPA (FA-FPO), LSHADE-SPACMA, NL-SHADE-LBC, evolutionary algorithms with eigen crossover (EA4eig), S-LSHADE-DP, L-SHADE-RSP-MID, EBOwithCMAR, LSHADE-EpSin among others. Apart from that, the proposed moIGDN algorithm was utilized to optimize the design of two electromagnetic multi-objective printed monopole antennas categorized as basic ultra-wideband (B-UWB) and dual band-notched ultra-wideband (DBN-UWB) antennas. Simulations have been performed by using the EM-MATLAB optimization interface with two objective functions: trying to minimize pass-band signal reflection and maximizing antenna gain, by mapping solutions to the Pareto-front boundary in the objective space. The best obtained antenna structure had an impedance bandwidth of 2.92–11.96 GHz (fractional bandwidth of 122%), efficient band-rejection characteristics for the WI-MAX (3.3 GHz–3.7 GHz) and WLAN (5.15 GHz–5.85 GHz) bands, and a compact geometry. Based on simulation results, moIGDN is found to be effective and can be utilized to solve complex wireless communication and advanced engineering optimization problems.

Ineffectiveness of UNHCR in Handling the Myanmar Conflict

UNHCR has a history of success in managing humanitarian issues and ultimately contributing to the birth of a new consciousness to consciously end conflicts. However, in the context of the conflict in Myanmar, UNHCR, which has systematically conducted humanitarian interventions to build a new consciousness to end the conflict, has failed to manage the humanitarian interventions to build a new consciousness to end the conflict. This article will explain the factors of failure in ending the conflict in order to see how deep the value of peace consciousness of peace consciousness can influence decisions in the conflict. This article finds that the Myanmar government's lack of political awareness of a number of ratified humanitarian conventions has made UNHCR's humanitarian interventions hit and run, so that peace values do not grow into core values. UNHCR's failure to transform the Refugee Convention into a new value in the ASEAN normative structure has rendered double contingency ineffective.

The pelvic girdle in extant gonorynchiformes (Teleostei: Otomorpha)

Otophysi is one of the most important fish taxa of the world, as they make up for roughly 28% of all fish species and about two-thirds of all freshwater species worldwide. To understand their success and evolutionary history their sister-group, the Gonorynchiformes, take a key-position, e.g., for reconstructing morphological conditions in the latest common ancestors. Gonorynchiformes comprising only 40 species and have been often studied for that reason. Their pelvic girdle, however, got only little attention so far. Therefore, we studied this structure in extant gonorynchiforms and described the ontogeny in Kneria stappersii. In gonorynchiforms: (1) their basipterygium is principally flat (without dorsal or ventral projections) and placed in horizontal position, (2) has a ‘simple’ shape, i.e., it has only a single anterior process with small cartilaginous tips and becomes wider in its posterior part with a medial portion connecting to the basipterygium of the other side; (3) three radials and a pelvic splint are present, and (4) a prominent posterior process is missing. Although, the morphological situation is a lot similar as seen in clupeiforms and alepocephaliforms. Therefore, these characters have likely been present in the stem of Otomorpha, Ostariophysi, and Otophysi, but within the latter taxon eventually, a higher diversity of pelvic girdle morphology arose during evolution.

Experimenting with the generalized binomial distribution

The standard binomial distribution is based on a sequence of Bernoulli trials. The probability of success is the same for each trial. In the Generalized Binomial Distribution (GBD), the probability of success changes by the history of successes up to that point. For example, if a student correctly answers a large proportion of the first few questions, the probability of correctly answering the next question increases because the history of successes may indicate skill. The Bernoulli events are correlated. Alternatively, the standard binomial distribution does not consider the history of successes, and assumes that successes are not correlated. In this paper we prove some new properties of the GBD and apply the concept to five new areas in sport competition, finance, biology, meteorology, and testing pseudo-random number generators. We prove that the GBD predicts the results in the collected data significantly better than the standard binomial distribution thus proving that the events are indeed correlated. We provide an R code, and a supplementary Excel file that provide users with an easy way to analyze any collected data set based on Bernoulli processes.

Feminism and Capitalism under the Nuclear Cloud & Barbie.

The Warner Brothers/Mattel movie Barbie is meant to be about feminism and capitalism in complicated, comical, and nuanced ways. It mostly succeeds in its dual purpose of comedy and inspiration. The doll's origin in 1959 places her and her consort, Ken, squarely in the context of the Cold War, although neither the movie nor the doll's long and successful marketing history acknowledges anything outside the sunny world of Barbie Land. The nuclear shadow does affect the movie's reception, however, in the form of international protests over the dashed lines scrawled on a supposed "World Map" in one scene. For nations in and around the South China Sea, the dashed lines evoke the specter of war in a nuclear age over claims to territorial sovereignty. Yet director Greta Gerwig's film is a runaway success, the first film solo directed by a woman to gross more than a billion dollars and counting.

Scaling up for success: from bioactive natural products to new medicines.

Covering 1986 to presentNatural product drug discovery at Novartis has a long and successful history of delivering life saving medicines to millions of patients. In this viewpoint, we are presenting the tools we use and challenges we face as we advance natural products from early research into development and beyond. We are leveraging our collection of 90 000 microbial strains and 20 000 isolated natural products to find new medications in an interdisciplinary approach that requires expertise in microbiology, computational biology, synthetic biology, chemistry, and process development. Technological advances, particularly in genome engineering and data science have transformed our field, accelerating discovery and facilitating sustainable compound supply. Emerging new modalities such as antibody drug conjugates, radioligand therapies and xRNA-based medications offer new opportunities for natural product-derived drugs. By taking advantage of these new modalities and the most recent research technologies, natural products will significantly contribute to the medicines of the future.

History of success. To the 90th anniversary of the birth of V.N. Antsiferov

Article for the 90th anniversary of Academician of the Russian Academy of Sciences Vladimir Nikitovich Antsiferov is dedicated to the stages of development of a scientist, the history of the creation of the largest Scientific Center for Powder Materials Science in Russia, and the achievements of his scientific school. The activities of V.N. Antsiferov as director of the Scientific Center, professor and head of the department of the Perm National Research Polytechnic University is shown, as well as the most important scientific developments of the scientist and the team he leads in the field of powder metallurgy and materials science for the aerospace complex, mechanical and instrument engineering, oil production, medicine and other industries.

(Invited) Photoactive Inorganic Nanosystems for Environmental and Energy-Related Applications

Nowadays, one of the main technological challenges that we are facing is the ability to provide a sustainable supply of clean energy and, among all renewable sources, solar energy displays the greatest potential. Recently, the development of novel synthetic strategies has led to the preparation of nanostructured materials displaying unique properties compared to the bulk counterpart systems, with controlled and tunable morphologies able to enhance the activity and selectivity of a heterogenous process.This talk will focus on the importance of tuning the morphological features of a catalyst as a strategy to improve its photoactivity, focusing on how rationally designing inorganic materials at the nanoscale can lead to shapes and structures suitable to enhance the performance of industrially and environmentally important processes. The talk will discuss some energy and environmental applications that can be addressed by multi-component systems synthesized via the bottom–up approach, highlighting their structure-reactivity relationship. Photocatalytic H2 production and purification and drugs degradation will be presented as successful cases history [1-3].[1] E. Moretti, L. Storaro, A. Talon, P. Riello, A. Infantes Molina, E. Rodríguez-Castellón, Appl. Catal. B: Environmental 168 (2015) 385.[2] M. Telkhozhayeva, B. Hirsch, R. Konar, E. Teblum, R. Lavi, M. Weitman, B. Malik, E. Moretti, G.D. Nessim, Appl. Catal. B: Environmental 318 (2022) 121872.[3] L. Liccardo, M. Bordin, P.M. Sheverdyaeva, M. Belli, P. Moras, A. Vomiero, E. Moretti, Adv. Funct. Mater. (2023) in press.

Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms

This study aims to develop several novel machine learning (ML) evolutionary algorithms for the prediction of small strain shear modulus (Gmax) of clean sands and sand-fines binary mixtures. To this end, five key features of isotropic confining pressure (p), void ratio (e), uniformity coefficient (Cu), particle shape descriptor (ρ), and non-plastic fines content (FC) are adopted as the inputs to artificial neural network (ANN) models as well as genetic programming (GP) algorithm so as to render the maximum shear modulus of granular soils as the output. Accordingly, a comprehensive dataset containing 1055 Gmax data points is exploited to develop ML simulations. The validity of ML-based models in estimating the Gmax of clean sands and sand-silt mixtures is rigorously examined through various statistical indices and measurement criteria. The results show that a novel ML model utilizing ANN-Levenberg Marquardt (LM) in conjunction with an evolutionary optimization method named Success History-based Adaptive Differential Evolution with Linear population size reduction (LSHADE) is capable of predicting Gmax data with a very high precision rendering R2 values of 0.9833, 0.9841, 0.9802, and 0.9835 for the whole, training, validation, and test datasets, respectively. Meanwhile, using the well-established GP algorithm, a new practical model is proposed to predict the Gmax of clean sands and sand-fines mixtures containing non-cohesive silt inclusion with R2 values of 0.9323, 0.9351, and 0.9312 for the whole, training, and test datasets, respectively. Finally, the proposed models of ANN-LSHADE-LM and GP are shown to be appreciably superior, in terms of accuracy, to all commonly used empirical correlations in the literature for Gmax estimation.

Bodies, beauty, brands: Professional, personal and everyday life online

This article focuses on two successful Italian web personalities who work in the beauty industry and embody the overlapping between business and public identity. Clio MakeUp (Clio Zammatteo, @cliomakeup) and Estetista Cinica (Cristina Fogazzi, @estetistacinica) are two professionals whose success and personal histories are similar and different at the same time. Coming from low-to-middle-class backgrounds, they are both ‘self-made-women’ who managed to build two beauty enterprises (a make-up brand of the same name, the former; a skincare and beauty brand, VeraLab, the latter) tightly intertwined to their public personas. In both cases their business’ success is strictly connected to two loyal online communities: Clio Zammatteo built her whole career around her online presence, starting in 2008 as the first successful Italian make-up YouTuber, reaching a large community way before she entered the beauty business with her make-up brand; Cristina Fogazzi worked her way from beautician to businesswoman, and successfully used Instagram to communicate her brand and personal philosophy, conquering a large and engaged community of followers and customers. This article will address Zammatteo’s and Fogazzi’s interconnected personal and professional identities from different perspectives. First, I will explore how they put themselves and their own non-conforming bodies at the centre of a communication strategy that defies conventional beauty standards and constantly connects their social media presence to their brands’ body-positive and non-judgemental approach. Second, I will focus on the habit of sharing their everyday life to reinforce their public personas and their brands. Third, I will analyse how their fashion choices intersect their media presence and the conversation about normative appearance, and how they resonate with their respective communities. Finally, building on the recurring presence of their domestic space on social media, I will investigate how both Zammatteo and Fogazzi negotiated their presence, bodies and personal spaces online during the pandemic.

The Role of Government in Reducing Stunting in Indonesia, Case Study: Optimization of BKKBN in Sukoharjo District

Indonesia is included in the list of countries with poor nutritional status, according to the World Health Organization (WHO). In 2019, the stunting rate in Indonesia was 27.6%. As a multidimensional problem, stunting requires cross-sectoral solutions. At the regional level, Indonesia has a Population and Family Planning Agency (BKKBN), which is specifically tasked with solving this problem. One area with a history of success in overcoming stunting in Indonesia is Sukoharjo Regency. This research examines the role of the government in Sukoharjo Regency, through the BKKBN, in making various efforts to reduce stunting rates. The research method is qualitative research with an empirical approach. Research data was collected through in-depth interviews, observation, and documentation, then analyzed using interactive analysis techniques. The research results found that the main steps taken were: deploying family cadres to socialize about gynecological health with prospective brides and grooms. The government utilizes technical and strategic regulations and carries out budgetary interventions to maximize the reduction in stunting rates.

Salpa genome and developmental transcriptome analyses reveal molecular flexibility enabling reproductive success in a rapidly changing environment

Ocean warming favors pelagic tunicates, such as salps, that exhibit increasingly frequent and rapid population blooms, impacting trophic dynamics and composition and human marine-dependent activities. Salp blooms are a result of their successful reproductive life history, alternating seasonally between asexual and sexual protogynous (i.e. sequential) hermaphroditic stages. While predicting future salp bloom frequency and intensity relies on an understanding of the transitions during the sexual stage from female through parturition and subsequent sex change to male, these transitions have not been explored at the molecular level. Here we report the development of the first complete genome of S. thompsoni and the North Atlantic sister species S. aspera. Genome and comparative analyses reveal an abundance of repeats and G-quadruplex (G4) motifs, a highly stable secondary structure, distributed throughout both salp genomes, a feature shared with other tunicates that perform alternating sexual-asexual reproductive strategies. Transcriptional analyses across sexual reproductive stages for S. thompsoni revealed genes associated with male sex differentiation and spermatogenesis are expressed as early as birth and before parturition, inconsistent with previous descriptions of sequential sexual differentiation in salps. Our findings suggest salp are poised for reproductive success at birth, increasing the potential for bloom formation as ocean temperatures rise.

Insights from the past: Invasion trajectory and niche trends of a global freshwater invader.

Freshwater ecosystems are invaded by a non-random selection of taxa, among which crayfish stand out with successful examples worldwide. Species distribution models (SDMs) have been used to detect suitable areas for invasive species and predict their potential distributions. However, these prediction exercises assume the stability of realized environmental niches, which is uncertain during invasion. Worldwide evaluations involving cosmopolitan invaders may be particularly useful but have seldom been considered. Focusing on the successful invasion history of the red swamp crayfish, Procambarus clarkii, we assessed its geographic expansion and niche trends over time. Based on global occurrences from 1854 to 2022, multiple sequential SDMs have been implemented based on a set of bioclimatic variables. The environmental suitability for each period was projected through to the next period(s) using an ensemble procedure of commonly used SDM algorithms. As the records of the species are known, it was possible to check whether the modelling projections were concordant with the observed expansion of red swamp crayfish at a global scale. This also permitted analysis of its realized niche, and its dynamics, during different expansion phases. SDM maps based on past species records showed concordance with the known crayfish distributions and yielded similar spatial patterns with outputs overperforming random combinations of cells in term of suitability. The results also reflect the stability of the species niche, which despite some expansions during the invasion process, changed little in terms of main position in functional space over time. SDMs developed in the early stages of invasion provide useful insights but also tend to underpredict the potential range compared to models that were built for later stages. Our approach can be easily transferable to other well-documented taxa and represents valuable evidence for validating the use of SDMs, considering a highly dynamic world where biogeographical barriers are often bypassed.

Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning

Novel hybrid success history intelligent optimizer with Gaussian transformation: application in CNN hyperparameter tuning

An evolutionary multi-algorithm based framework for the parametric estimation of proton exchange membrane fuel cell

This paper proposes a multi-strategy, multiple algorithms based hybrid strategy using flower pollination algorithm (FPA), grey wolf optimizer (GWO), INFO, and naked mole rat algorithm (NMRA). The proposed algorithm, named the Flower Grey INFO Naked (FGIN) algorithm, incorporates the most effective equations from the FPA, GWO, INFO, and NMRA. Here FPA’s basic structure following global and local search is used, GWO is meant for providing extensive exploration, whereas INFO and NMRA both contribute towards exploitative search. Dynamic iterative search and population segmentation strategies are incorporated for enhanced performance of FGIN algorithm. For enhanced self-adaptivity, six mutation weight operators are applied to the three parameters of the proposed strategy. FGIN is also subjected to higher dimensional and variable population analysis, and has been found to be highly effective. A deeper analysis using CEC 2005, CEC 2017, CEC 2019 and CEC 2022 benchmark data set is also performed to validate the superiority of the proposed algorithm with respect to success history based differential evolution (SHADE), self-adaptive DE (SaDE), NL-LSHADE-LBC, DE with active archive (JADE), LSHADE-SPACMA, evolutionary algorithms with eigen crossover (EA4eig), extended GWO (GWO-E), NL-LSHADE-RSP-MID, jDE100, and others. The proposed FIGN algorithm is then used for the parametric identification of proton exchange membranes in fuel cells (PEMFC). The optimization challenge of PEMFC is to minimize the sum of squared error (SSE) between the experimental and measured voltage. And also determine, the optimal values of seven unknown parameters for the PEMFC stack’s. To illustrate the potential of the FGIN algorithm is validated by utilizing five well-known commercial PEMFCs, namely NedStack PS6, BCS 500 W, Stack 250 W, Ballard Mark V, and Horizon H-12 Stack. In order to check the effectiveness of the FGIN algorithm, both parametric and non-parametric statistical tests have been conducted, and it has been found that the proposed algorithm performs significantly better.

FGDA-GS: Fast guided decision attack based on gradient signs for skeletal action recognition

The black-box adversarial attacks for skeletal action recognition currently construct high-quality adversarial examples by sacrificing queries and perturbation imperceptibility. To overcome the above drawbacks, we propose a novel fast guided decision attack based on gradient signs for skeletal action recognition (FGDA-GS) scheme. Firstly, to reduce the queries, we guide the adversary to attack along the gradient direction obtained by sampling in a custom Gaussian distribution and design a gradient direction estimation method based on successful history information queries, which can quickly determine the updated direction of the effective perturbation without a large query. Secondly, to ensure the imperceptibility of the adversarial examples, we design a manifold projection function matching the first-order derivatives based on joint position constraints, joint angle constraints, and bone-length constraints to generate complete and natural skeletal adversarial examples that are invisible to the human eye. Finally, comprehensive experimental results demonstrate that FGDA-GS can generate strong-natured, highly effective adversarial examples with significantly reduced query. Specifically, FGDA-GS achieves a 100% attack success rate on different datasets and models with reduced queries by hundreds to thousands and reduced time by more than half. Particularly in the untargeted attack setting, compared to BASAR, FGDA-GS outperforms in terms of average joint position deviation, average joint acceleration deviation, average joint angle acceleration deviation, and average bone-length deviation percentage for the ST-GCN model on the NTU dataset, with percentage reductions of 91.13%, 91.81%, 80.60%, and 81.08%, respectively. We also conducted experiments on defense methods to validate our proposed scheme's effectiveness further.

Alexander Nikiforovich Skrebitsky: Strokes to the Portrait of a Simbirsk Land Entrepreneur

Introduction. The article examines the life path and entrepreneurial activity of the large Simbirsk landowner Alexander Nikiforovich Skrebitsky, which absorbed all the contradictions of the feudal-serf era, in many ways becoming its personification. The economic system of Russia in the 19th century, despite the continued dominance of traditionalism in its feudal guise, underwent quite significant changes. They occurred in a number of directions, one of which was the commercialization of landowner farms, their transformation into “economies”. But if in the second half of the 19th century for landowners the movement in this direction was essentially a matter of “survival” essentially the only possible scenario for maintaining their economic viability, then in the first half of the 19th century it was more of an innovation. Results. The history of the business success of Russian landowners, who managed to overcome the inertial effect of the class environment and go beyond the feudal-serf restrictions, deserves close attention. Each of them followed their own path to success, using their existing competitive advantages to realize their entrepreneurial aspirations. A. N. Skrebitsky belonged to the most progressively minded part of the landowner-entrepreneurs in the first half of the 19th century. In their desire to create productive “economies” of a commercial nature within their estates, they formed a fairly stable economic trend that involved more and more enterprising landowners. By striving to commercialize their farms, give them a diversified focus, and carry out technical and technological modernization of their industrial complex they thereby reconfigured the existing system. Discussion and Conclusion. Life path of A. N. Skrebitsky is quite typical for a Russian nobleman. The first stage of his life was entirely devoted to military service. In addition to career success, by the early 1830s he was able to significantly improve his financial situation, which in the context of his further activities can be regarded as the initial accumulation of capital. Having become a landowner-entrepreneur, he quite successfully realized himself in this field, not only preserving, but also increasing the potential of his Simbirsk factories.

Autologous Whole-Blood Versus Corticosteroid Local Injection in Treatment of Plantar Fasciitis: A Randomized Single Blind Placebo-Controlled Study.

Autologous whole-blood intralesional injection has attracted interest as a possible means of treatment for chronic plantar fasciitis. We contrasted its effectiveness with that of corticosteroids, which have a longer history of success in treating tendinopathies such as plantar fasciitis. In order to monitor the disease's progress naturally, we also compared them with a placebo. Sixty clinically diagnosed patients were taken up for intralesional injection of autologous whole blood (AWB), corticosteroid, and normal saline as placebo mixed with 2 mL of lignocaine after dividing them into three groups. Two doses were given and followed up in the third, sixth, and 12th weeks. The evaluation was done according to the visual analog scale (VAS) and the number of tablets of paracetamol (PCM) 500 mg consumed for the following period. When compared to the placebo group in the third, sixth, and 12th weeks, the corticosteroid group exhibited a significant improvement with a p<0.001 in the VAS score, whereas the autologous whole blood group showed no meaningful difference. When compared to the placebo group at the sixth and 12th weeks, the AWB group's VAS score showed a statistically significant difference with a p>0.001. At each follow-up, the placebo group consumed more analgesics than the corticosteroid group, with a p<0.001. Only in the third week of follow-up did AWB demonstrate a statistically significant difference in PCM consumption as compared to the corticosteroid group. Statistically significant improvement was seen in both the AWB group and corticosteroid group as compared to the placebo group. The corticosteroid group achieved earlier and superior relief of pain while AWB had a longer lasting effect. Therefore, study results indicate almost similar results in short-term studies.

Registering transparency: the making of the international clinical trial registry platform by the world health organization (2004–2006)

BackgroundThis paper examines the events and conditions that led to the creation of the International Clinical Trials Registry Platform (ICTRP) in 2006 by the World Health Organization (WHO), and how the WHO addressed the issue of transparency in global pharmaceutical research. Using historical textual analysis, I trace the scientific debates that advocated for the establishment of official clinical trial registries in medical journals, and the sequence of actions following the GSK Paxil scandal in 2004, identifying the major ethical and scientific arguments that led to the involvement of the WHO as a key actor in trial registration in the context of the Big Pharma business model.ResultsThrough the questions “Why register?” and “Why registries?” as a roadmap, I examine the issues of publication bias and selective reporting by the industry, scrutinizing two ways in which the practice of publication bias damaged transparency in industry-sponsored research. The first involved ethical concerns regarding human subject exploitation and concealing of negative results. The second addresses the deterioration of the certainty of evidence due to incomplete access to trials results. By reviewing the series of events that occurred between 2004 and 2006 –between the Paxil scandal and the launch of the ICTRP—, I analyze the actions taken by the different actors involved: (1) the International Committee of Medical Journal Editors (ICMJE) and the creation of the Ottawa Group; (2) the WHO, beginning with the Ministerial Summit on Health Research held in November of 2004, and (3) the responses of the pharmaceutical industry and specifically GSK to the call for transparency and trial registration.ConclusionsThe history of trial registration through the ICTRP as a dataveillance apparatus shows the difficulty of regulating a health enterprise turned into a global business. Moreover, it shows the challenges of globalization and how easier and faster it is to globalize business compared to good practices, raising the question of why it has been so hard to undo these trends. Indeed, the history of the movement for trial registration is not a history of regulation success, or at least not yet.