bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multispecies design: 3D-printed biomimetic structures to enhance humidity levels
Authors: Daneluzzo Mirko , Macruz Andrea , Tawakul Hind , Al Hashimi Mona 
Published: April 2023

AbstractThe paper changes the focus of the design debate from a human-centered design methodology to a posthuman design that takes both human and nonhuman agents into account. It examines how designers might use a multispecies perspective to produce projects with distinguished intelligence and performance. To illustrate this, we describe a project of structures for plants that started on a course in an academic setting. The project methodology begins with “Thing Ethnography”, investigating the movement of a water bottle inside a house and its interaction with other objects. The correlation between water and plants was decided to be further expanded, considering how water might enhance the environmental humidity and create a cooler microclimate for indoor plants. According to their effectiveness, 3D-printed biomimetic structures were designed and manufactured as water droplet supports considering different materials, and positioned in various configurations around a plant. Humidity levels and temperature of the structures were measured. As a result, this created a novel method for mass customization and working with plants. The paper discusses the resultant evidence-based design and the environmental values related to it.
Working with Indigenous Site Monitors and Tribal IRBs
Authors: Kimmel Addison P. , Katz Steven A. , Lewis Marcus , Wilk Elizabeth 
Published: April 2023

ABSTRACTArchaeologists have an obligation to conduct research that is relevant and responsive to the desires, interests, values, and concerns of Indigenous descendant communities. Current best practices for collaborative, community-based archaeologies emphasize long-term engagement and “full collaboration,” including the coproduction of knowledge and total stakeholder involvement. The present-day structures and demands of archaeology—especially in CRM and graduate student research contexts—can serve to make such fully collaborative work difficult, if not impossible. Oftentimes, these difficulties result in a complete abdication of collaboration or even consultation beyond the bare minimum required by law. However, professional archaeologists must strive in all instances to work alongside Native communities in respectful, responsive, and mutually beneficial ways even if this work may often fall short of the loftiest ideal. In this article, the authors present two case studies in collaboration from recent projects conducted in the North American midcontinent. These case studies clearly demonstrate how tribal fieldwork monitoring, working with tribal institutional review boards (IRBs), and other related forms of “imperfect” collaboration can still help move us toward a more ethical, inclusive, and respectful future archaeology.
Bell Labs and the ‘neural’ network, 1986–1996
Authors: Law Harry 
Published: April 2023

AbstractBetween 1986 and 1996 researchers at the AT&T Bell Laboratories Adaptive Systems Research Department curated thousands of images of handwritten digits assembled by the United States Postal Service to train and evaluate artificial neural networks. In academic papers and conference literature, and in conversations with the press, Bell Labs researchers, executives and company spokespeople deployed the language of neurophysiology to position the systems as capable of codifying and reproducing feats of perception. Interpretations such as these were pivotal to the formation of brain–computer imaginaries that surrounded the development of the systems, which obscured the institutional infrastructures, clerical and cognitive labour, and the manipulation and maintenance of data on which feats of ‘recognition’ depended. Central to building the group's networks was the development of data sets constructed in consort with the US Postal Service, which arbitrated between the practicality of conducting research and the representation of an extensive catalogue of possible forms and permutations of handwritten digits. These imaginaries, which stressed a likeness with the human brain, were compounded by the promotion of ‘successful applications’ that took place under the AT&T corporate umbrella and with the essential support of US Postal Service workers to correct system errors.
Operationalizing digital self-determination
Authors: Verhulst Stefaan G. 
Published: April 2023

Abstract
A proliferation of data-generating devices, sensors, and applications has led to unprecedented amounts of digital data. We live in an era of datafication, one in which life is increasingly quantified and transformed into intelligence for private or public benefit. When used responsibly, this offers new opportunities for public good. The potential of data is evident in the possibilities offered by open data and data collaboratives—both instances of how wider access to data can lead to positive and often dramatic social transformation. However, three key forms of asymmetry currently limit this potential, especially for already vulnerable and marginalized groups: data asymmetries, information asymmetries, and agency asymmetries. These asymmetries limit human potential, both in a practical and psychological sense, leading to feelings of disempowerment and eroding public trust in technology. Existing methods to limit asymmetries (such as open data or consent) as well as some alternatives under consideration (data ownership, collective ownership, personal information management systems) have limitations to adequately address the challenges at hand. A new principle and practice of digital self-determination (DSD) is therefore required. The study and practice of DSD remain in its infancy. The characteristics we have outlined here are only exploratory, and much work remains to be done so as to better understand what works and what does not. We suggest the need for a new research framework or agenda to explore DSD and how it can address the asymmetries, imbalances, and inequalities—both in data and society more generally—that are emerging as key public policy challenges of our era.
Clostridioides difficile infection surveillance in intensive care units and oncology wards using machine learning
Authors: Ötleş Erkin , Balczewski Emily A. , Keidan Micah , Oh Jeeheh , Patel Alieysa , Young Vincent B. , Rao Krishna , Wiens Jenna 
Published: April 2023

AbstractObjective:Screening individuals admitted to the hospital for Clostridioides difficile presents opportunities to limit transmission and hospital-onset C. difficile infection (HO-CDI). However, detection from rectal swabs is resource intensive. In contrast, machine learning (ML) models may accurately assess patient risk without significant resource usage. In this study, we compared the effectiveness of swab surveillance to daily risk estimates produced by an ML model to identify patients who will likely develop HO-CDI in the intensive care unit (ICU) setting.Design:A prospective cohort study was conducted with patient carriage of toxigenic C. difficile identified by rectal swabs analyzed by anaerobic culture and polymerase chain reaction (PCR). A previously validated ML model using electronic health record data generated daily risk of HO-CDI for every patient. Swab results and risk predictions were compared to the eventual HO-CDI status.Patients:Adult inpatient admissions taking place in University of Michigan Hospitals’ medical and surgical intensive care units and oncology wards between June 6th and October 8th, 2020.Results:In total, 2,979 admissions, representing 2,044 patients, were observed over the course of the study period, with 39 admissions developing HO-CDIs. Swab surveillance identified 9 true-positive and 87 false-positive HO-CDIs. The ML model identified 9 true-positive and 226 false-positive HO-CDIs; 8 of the true-positives identified by the model differed from those identified by the swab surveillance.Conclusion:With limited resources, an ML model identified the same number of HO-CDI admissions as swab-based surveillance, though it generated more false-positives. The patients identified by the ML model were not yet colonized with C. difficile. Additionally, the ML model identifies at-risk admissions before disease onset, providing opportunities for prevention.
What explains the spread of corporate social responsibility? The role of competitive pressure and institutional isomorphism in the diffusion of voluntary adoption
Authors: Han Seungmin , Ito Kiyohiko 
Published: April 2023

AbstractThis study provides a new perspective on the determinants of the spread of voluntary corporate social responsibility (CSR) adoption by incorporating the potential role of its adoption by industry competitors. We find supportive evidence that firms make CSR adoption decisions in response to competitive pressure as well as institutional mimetic pressures. Based on an event history analysis of longitudinal data from a sample of 711 Korean publicly traded firms over a 12-year period, our findings suggest that the CSR behavior of competitors is positively associated with a focal firm's earlier adoption of CSR, leading to the diffusion of CSR across firms. Specifically, this study shows that the pure rivalry-driven pressure from non-leader competitors has a stronger positive relationship with earlier CSR adoption. The results also indicate that a firm's CSR adoption decision is accelerated by competitive rivalry as well as social pressures arising from institutional mimetic isomorphism.
Estimation of Early Classic Maya Population: Methodological Challenges and Modeling at Naachtun, Guatemala
Authors: Hiquet Julien 
Published: April 2023

AbstractMost population estimates for Maya sites are for the Late Classic period, a time of peak population in the Central Maya Lowlands. At Naachtun, Guatemala, a major city during the Early Classic that continued into the Late Classic period, researchers recently carried out an ambitious program of test pitting in residential areas; its aim was to model the growth of residential units during the entire Classic period and so better contextualize the rise of Classic Maya dynasties and the scale of their economic and political power. This article presents an improvement to the existing method for estimating population for periods preceding the population apex (in this case, the Early Classic period): it not only estimates the occupancy rate of residential units occupied pre-apex but also assesses their size, using a typology I developed based on their morphology and pattern of transformation.
Fear of Labor Rigidities: The Role of Expectations on Employment Growth in Peru
Authors: Yamada Gustavo , Lavado Pablo , Rivera Gonzalo 
Published: April 2023

AbstractThe impact of employment protection legislation has been thoroughly analyzed in varied contexts. Most studies highlight the potential harm of the legislation on labor outcomes, although evidence remains inconclusive. However, the literature has focused primarily on ex post impacts, analyzing the regulation’s effect after implementation. This article departs from that analysis to focus on anticipated or ex ante effects of labor regulation. More specifically, we study the role of firms’ expectations in future stricter labor legislation related to employment and income in Peru’s formal and informal labor market. To account for expectations, we used the number of news items related to the approval of a proposed law—the General Labor Law—to increase labor rigidities in Lima’s most important business newspaper. Using the Peruvian labor survey, we find a negative but decreasing relationship between firms’ expectations of a future stricter labor market and employment and average income. We also collect evidence that bigger news items and ones closer to the front page have a negative relationship with formal employment and income.
The role of impact parameter in typical close galaxy flybys
Authors: Mitrašinović A. , Micic M. 
Published: April 2023

AbstractClose galaxy flybys, interactions during which two galaxies inter-penetrate, are frequent and can significantly affect the evolution of individual galaxies. Equal-mass flybys are extremely rare and almost exclusively distant, while frequent flybys have mass ratios$q=0.1$or lower, with a secondary galaxy penetrating deep into the primary. This can result in comparable strengths of interaction between the two classes of flybys and lead to essentially the same effects. To demonstrate this, emphasise and explore the role of the impact parameter further, we performed a series ofN-body simulations of typical flybys with varying relative impact parameters$b/R_{\mathrm{vir},1}$ranging from$0.114$to$0.272$of the virial radius of the primary galaxy. Two-armed spirals form during flybys, with radii of origin correlated with the impact parameter and strengths well approximated with an inverted S-curve. The impact parameter does not affect the shape of induced spirals, and the lifetimes of a distinguished spiral structure appear to be constant,$T_\mathrm{LF} \sim 2$Gyr. Bars, with strengths anti-correlated with the impact parameter, form after the encounter is over in simulations with$b/R_{\mathrm{vir},1} \leq 0.178$and interaction strengths$S\geq0.076$, but they are short-lived except for the stronger interactions with$S\geq0.129$. We showcase an occurrence of multiple structures (ring-like, double bar) that survives for an exceptionally long time in one of the simulations. Effects on the pre-existing bar instability, that develops much later, are diverse: from an acceleration of bar formation, little to no effect, to even bar suppression. There is no uniform correlation between these effects and the impact parameter, as they are secondary effects, happening later in a post-flyby stage. Classical bulges are resilient to flyby interactions, while dark matter halos can significantly spin up in the amount anti-correlated with the impact parameter. There is an offset angle between the angular momentum vector of the dark matter halo and that of a disc, and it correlates linearly with the impact parameter. Thus, flybys remain an important pathway for structural evolution within galaxies in the local Universe.
Cold War Narcotics Trafficking, the Global War on Drugs, and East Germany's Illicit Transnational Entanglements
Authors: Richardson-Little Ned 
Published: April 2023

AbstractAlthough it lacked a significant domestic market for internationally trafficked drugs, East Germany emerged as an important corridor for narcotics smugglers in the 1970s due to its position between supply countries in Asia and consumer countries in the West. The unique geography of West Berlin created a large market of consumers surrounded by East German territory, forcing traffickers to pass through the GDR border. Efforts by officials in both Germanys and the United States to cooperate on the problem of narcotics trafficking revealed conflicts between the geography of the Cold War—where the GDR border was the front line in the ideological conflict between East and West—and the international drug prohibition system, which sought global interstate collaboration in the name of a “universal international society,” against the common threat of crime. As Cold War tensions declined in the 1980s, border enforcement cooperation between East and West became increasingly viable as both sides reoriented toward the view that Europe had to defend itself from the threats posed by mobilities of those in the global south.
January 30, 1933, in the Nazi Historical Imaginary
Authors: Goeschel Christian 
Published: April 2023

AbstractFrom 1934 until 1945, the Nazi regime celebrated the anniversary of January 30, 1933, the day of Hitler's appointment as Reich Chancellor. This article, based on unpublished and published documents from central and local Nazi and state institutions, asks how the Nazis choreographed these celebrations at home and abroad and how they fit into broader Nazi conceptualizations of history. Stage-managed celebrations etched January 30 into the historical consciousness of Germans as beginning of the Third Reich and were a crucial step toward the realization of the Volksgemeinschaft (national community), although the Nazi seizure of power was a process and cannot be pinpointed to a single date. Ambivalence characterized the festivities, reflecting the fact that the Nazis saw their coming to power as both revolutionary and restorative of the natural flow of German history. In the Nazi imaginary, this day was a conjuncture in history, separating the Nazi struggle for power from their triumphant mission to “make Germany great again” and create a racial utopia.
Revision of the Cheilostomatida (Bryozoa) collected during the HMS ‘Challenger’ Expedition (1872–1876) in the central North Atlantic
Authors: Berning Björn , Spencer Jones Mary E. 
Published: April 2023

AbstractOf the 21 species recorded from the greater Azores region during the HMS ‘Challenger’ Expedition, 12 were newly introduced during the late 19th century. The respective types of these species are fixed, and eight species are redescribed based on scanning electron microscope analysis (Notoplites bilobus,Raxifabia minuta,Hemicyclopora canalifera,Smittoidea oratavensiscomb. nov.,Buskea ovaliscomb. nov.,Buskea fayalensiscomb. nov.,Celleporina ansatacomb. nov. andReteporella atlanticacomb. nov.). Another four species are merely dealt with shortly either because the material is insufficiently preserved for a thorough revision (Columnella gracilis,Carbasea pedunculata), or because the species have recently been revised already (Notoplites clausus,Microporella hastigera). Moreover, two Azorean species that were introduced by later workers are synonymized with ‘Challenger’ species:S. oratavensisis considered a senior synonym ofSmittia ensifera, andLekythopora laciniosais synonymized withC. ansata.
A network analysis of depressive symptoms and metabolomics
Authors: Rydin Arja O. , Milaneschi Yuri , Quax Rick , Li Jie , Bosch Jos A. , Schoevers Robert A. , Giltay Erik J. , Penninx Brenda W. J. H. , Lamers Femke 
Published: April 2023

AbstractBackgroundDepression is associated with metabolic alterations including lipid dysregulation, whereby associations may vary across individual symptoms. Evaluating these associations using a network perspective yields a more complete insight than single outcome-single predictor models.MethodsWe used data from the Netherlands Study of Depression and Anxiety (N = 2498) and leveraged networks capturing associations between 30 depressive symptoms (Inventory of Depressive Symptomatology) and 46 metabolites. Analyses involved 4 steps: creating a network with Mixed Graphical Models; calculating centrality measures; bootstrapping for stability testing; validating central, stable associations by extra covariate-adjustment; and validation using another data wave collected 6 years later.ResultsThe network yielded 28 symptom-metabolite associations. There were 15 highly-central variables (8 symptoms, 7 metabolites), and 3 stable links involving the symptoms Low energy (fatigue), and Hypersomnia. Specifically, fatigue showed consistent associations with higher mean diameter for VLDL particles and lower estimated degree of (fatty acid) unsaturation. These remained present after adjustment for lifestyle and health-related factors and using another data wave.ConclusionsThe somatic symptoms Fatigue and Hypersomnia and cholesterol and fatty acid measures showed central, stable, and consistent relationships in our network. The present analyses showed how metabolic alterations are more consistently linked to specific symptom profiles.
Optimal synthesis of reconfigurable manipulators for robotic assistance in vertical farming
Authors: Chitre Neeraj , Dogra Anubhav , Singla Ekta 
Published: April 2023

AbstractDue to the ever-increasing demand for food commodities and issues arising in their transport from rural to urban areas, commercial agricultural practices with the help of vertical farming are being taken up near urban regions. For the realization of agricultural practices on high-rise vertical farms, where human intervention is quite laborious, robotic assistance would be an effective solution to perform agricultural processes like seeding, transplanting, harvesting, health monitoring, nutrient-water supply, etc. The requirements and complexities of these tasks to be performed are different such as end-effector requirement, payload capacity required, amount of clutter while performing the task, etc. In such cases, an individual robotic configuration would not serve all the purposes and each task may require a different configuration. Purchasing a large number of configurations, as per requirement, is not economical and will also increase the cost of maintenance. Thus, the design of a reconfigurable robot manipulator is proposed in this work which can cater to modular layouts. A thorough study of the processes involved in the farming of leafy vegetables is done and the tasks to be performed by the manipulator are identified. Constrained optimization is performed based on reachability, while minimizing DoF, for the tasks of transplanting, plant heath monitoring, and harvesting to find the optimal configurations which can perform the given tasks. The study resulted in 5-DoF, 4-DoF, and 6-DoF configurations for transplanting, plant heath monitoring, and harvesting, respectively, thus emphasizing the need of a reconfigurable solution. The configurations are realized using modular library and verified to satisfy reachability to provide a complete solution.
A constrained framework based on IBLF for robot learning with human supervision
Authors: Shi Donghao , Li Qinchuan , Yang Chenguang , Lu Zhenyu 
Published: April 2023

AbstractDynamical movement primitives (DMPs) method is a useful tool for efficient robotic skills learning from human demonstrations. However, the DMPs method should know the specified constraints of tasks in advance. One flexible solution is to introduce the human superior experience as part of input. In this paper, we propose a framework for robot learning based on demonstration and supervision. Superior experience supplied by teleoperation is introduced to deal with unknown environment constrains and correct the demonstration for next execution. DMPs model with integral barrier Lyapunov function is used to deal with the constrains in robot learning. Additionally, a radial basis function neural network based controller is developed for teleoperation and the robot to track the generated motions. Then, we prove convergence of the generated path and controller. Finally, we deploy the novel framework with two touch robots to certify its effectiveness.
Can personality predict foreign language classroom emotions? The devil’s in the detail
Authors: Botes Elouise , Dewaele Jean-Marc , Greiff Samuel , Goetz Thomas 
Published: April 2023

AbstractPersonality has been identified as a possible antecedent to emotions experienced in the foreign language (FL) classroom. However, contrasting results and differing personality models have resulted in ambiguous findings. This study set out to delve deeper into the role of personality as a predictor of FL emotions through a series of increasingly restrictive statistical models on a sample ofn= 246 FL learners. The relationships between personality—operationalized as global and lower order factors in the five factor model—and the FL emotions of Foreign Language Enjoyment, Anxiety, and Boredom were examined. The global factors of Neuroticism, Extraversion, and Conscientiousness, and the lower order factors of Trust, Dutifulness, and Cheerfulness were significant predictors of FL emotions. However, the complexity of personality as a predictor variable is demonstrated in the intricacy of the results and as such the inclusion of personality in explanatory models of FL emotions ought to be approached with caution.