bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big Data, Proxies, Algorithmic Decision‐Making and the Future of Management Theory
Authors: Lindebaum Dirk , Moser Christine , Islam Gazi 
Published: December 2023

AbstractThe future of theory in the age of big data and algorithms is a frequent topic in management research. However, with corporate ownership of big data and data processing capabilities designed for profit generation increasing rapidly, we witness a shift from scientific to ‘corporate empiricism’. Building on this debate, our ‘Point’ essay argues that theorizing in management research is at risk now. Unlike the ‘Counterpoint’ article, which portrays a bright future for management theory given available technological opportunities, we are concerned about management researchers increasingly ‘borrowing’ data from the corporate realm (e.g., Google et al.) to build or test theory. Our objection is that this data borrowing can harm scientific theorizing due to how scaling effects, proxy measures and algorithmic decision‐making performatively combine to undermine the scientific validity of theories. This undermining occurs through reducing scientific explanations, while technology shapes theory and reality in a profit‐predicting rather than in a truth‐seeking manner. Our essay has meta‐theoretical implications for management theory per se, as well as for political debates concerning the jurisdiction and legitimacy of knowledge claims in management research. Practically, these implications connect to debates on scientific responsibilities of researchers.
Food pattern modeling to inform global guidance on complementary feeding of infants
Authors: Arimond Mary , Wiesmann Doris , Grummer‐Strawn Laurence M. , Ferguson Elaine L. 
Published: December 2023

AbstractNutrient needs are difficult to meet during infancy due to high nutrient requirements and the small quantities of food consumed. Guidelines to support food choice decisions are critical to promoting optimal infant health, growth and development and food pattern modeling can be used to inform guideline development. We employed the Optifood modeling system to determine if unfortified complementary foods could meet 13 nutrient targets for breastfed infants (6–11 months), and to describe food patterns that met, or came as close as possible to meeting targets. We also examined the impacts of eliminating food groups, increasing starchy staple foods or adding sentinel unhealthy foods. We collated a global food list from dietary studies in 37 countries and used this list to develop nutrient values for a set of 35 food subgroups. We analyzed infant dietary intakes from studies in eight countries to inform maximum quantities and frequencies of consumption for these subgroups in weekly food patterns. We found that unfortified foods could meet targets for most infants for 12 nutrients, but not for iron. For the smallest and youngest infants, with the lowest energy intakes, there were additional deficits for minerals. Best‐case food patterns that met targets or came as close as possible to meeting targets included ample amounts of diverse vegetables, diverse plant‐ and animal‐source protein foods, small amounts of whole grain foods and dairy and no refined grains or added fats or sugar. There were nutrient deficits if animal‐source foods or vegetables were eliminated or if unhealthy foods were included.
Monocular 3D object detection for construction scene analysis
Authors: Shen Jie , Jiao Lang , Zhang Cong , Peng Keran 
Published: December 2023

AbstractThree‐dimensional (3D) object detection, that is, localizing and classifying all critical objects in a 3D space, is essential for downstream construction scene analysis tasks. However, accurate instance segmentation, few 2D object segmentation and 3D object detection data sets, high‐quality feature representations for depth estimation, and limited 3D cues from a single red‐green‐blue (RGB) image pose significant challenges to 3D object detection and severely hinder its practical applications. In response to these challenges, an improved cascade‐based network with a transformer backbone and a boundary‐patch‐refinement method is proposed to build hierarchical features and refine object boundaries, resulting in better results in 2D object detection and instance segmentation. Furthermore, a novel self‐supervised monocular depth learning method is proposed to extract better feature representations for depth estimation from construction site video data with unknown camera parameters. Additionally, a pseudo‐LiDAR point cloud method and a 3D object detection method with a density‐based clustering algorithm are proposed to detect 3D objects in a construction scene without help from 3D labels, which will serve as a good foundation for other downstream 3D tasks. Finally, the proposed model is evaluated for object instance segmentation and depth estimation on the moving objects in construction sites (MOCS) and construction scene data sets. It brings a 9.16% gain in terms of mean average precision (mAP) for object detection and a 4.92% gain in mask mAP for object instance segmentation. The average order accuracy and relative mean error for depth estimation are improved by 0.94% and 60.56%, respectively. This study aims to overcome the challenges and limitations of 3D object detection and facilitate practical applications in construction scene analysis.
Valuing the Surplus: Perspectives on Julian Horton's Article ‘On the Musicological Necessity of Music Analysis’, Musical Quarterly, 3/i–ii, pp. 62–104.Contributors: Kofi Agawu, Gurminder K. Bhogal, Esther Cavett, Jonathan Dunsby, Julian Horton, Alexandra Monchick, Ian Pace, Henry Stobart and Simon Zagorski‐Thomas, compiled and edited by Esther Cavett
Authors: Agawu Kofi , Bhogal Gurminder Kaur , Cavett Esther , Dunsby Jonathan , Horton Julian , Monchick Alexandra , Pace Ian , Stobart Henry , Zagorski‐Thomas Simon 
Published: December 2023

ABSTRACTJulian Horton's 2020 article on the ‘necessity of analysis’ delineates previous critiques of music analysis into the performative and the historicist and counters their assumptions. He proposes that analysis remains viable in light of historical, ontological, systemic, discursive, phenomenological and political imperatives. Seven respondents critique his account from the perspectives of pedagogy, performance, traditional literacies, popular music, ethnomusicology, world music and the postcolonial. Horton responds to these responses, and Jonathan Dunsby concludes with a summary of key issues. This Critical Forum is proposed as a kaleidoscopic collection rather than a single review and raises fundamental questions about the nature of analysis within the academy, and the very purpose of musicological research.
Exploration of the effects of incarceration on the health of Latina women and their children using the life course theory
Authors: Crawford Allison D. , McGlothen‐Bell Kelly , Testa Alexander , McGrath Jacqueline M. , Cleveland Lisa 
Published: December 2023

AbstractObjectiveUse the Life Course Theory (LCT) to explore the effects of involvement with the justice system on the health of Latina women and their children.DesignA supplementary analysis was conducted using data collected from the original study to answer a new research question.SettingSouth Central Texas.ParticipantsA primary qualitative data set from 12 Latina women involved with the justice system.MethodsWe applied LCT principles and used thematic content analysis as such we employed categoric distinction: lifespan development, time and place in individuals’ lives, the timing of lives, human agency, and linked lives to analyze participants’ narratives.ResultsFive themes emerged that aligned with LCT principles: (1) It feels like I'm living in my own prison; (2) What do I have to live for now; (3) It is like double punishment; (4) They made my choices; and (5) People didn't really understand. Participants felt helpless with few options to overcome their prior adversities, which affected their ability to make positive future choices.ConclusionsFindings highlight the potential, long‐term, negative health consequences that may result from incarceration. Considering that justice system involvement can lead to more profound maternal and child health disparities, our findings suggest that greater advocacy from the nursing profession would increase accessibility to equitable and respectful maternity and women's health care services.Key points
Involvement with the justice system can result in negative health consequences for women and their children.
Maternal and child health disparities are often more profound after involvement with the justice system.
Greater advocacy is needed from the nursing profession to ensure access to equitable and respectful maternity and women's health care services.
Duration of exposure to inheritance law in India: Examining the heterogeneous effects on empowerment
Authors: Biswas Shreya , Das Upasak , Sarkhel Prasenjit 
Published: December 2023

AbstractThe impact of public programs involving legal protection may depend on the duration of exposure, especially in developing countries with persistent social norms. A longer duration of the program is likely to be associated with gradual positive changes in these norms that beneficiaries could leverage in their favor. However, program effects might also decay if the norms do not change with time, even several years after the legal reforms. This paper examines the heterogeneous impact of the duration of exposure to gender‐neutral reforms in the inheritance law in India on women empowerment. We use the time lag between the year of the amendment in the respective states and the year of marriage to generate exogenous variation in reform exposure among women. The findings indicate a significant non‐linear increase in empowerment because of higher exposure. The gains are more pronounced for instrumental empowerment that relates to the ability to make decisions and to a lesser extent, albeit positively for intrinsic, which pertains to expansion of agency. The impact remains significant across women from rural/urban sector or social groups. At a more disaggregated level, greater exposure led to higher mobility, higher household decision‐making ability, reduced husband controlling behavior, and lesser emotional violence.
Reductivism versus perspectivism versus holism: A key theme in philosophy of science, and its application to modern linguistics
Authors: Collin Finn , Durst‐Andersen Per 
Published: December 2023

AbstractWe use recent developments within philosophy of science and within certain strands of linguistic research to throw light on each other. According to Ronald Giere's perspectivist philosophy of science, the scientific understanding of reality must proceed along different, mutually irreducible lines of approach. Giere's proposal, however, leaves unresolved the problem of how to integrate the ever‐growing multitude of highly diverse scientific accounts of what is, after all, one and the same world. We propose a technique for the alignment of different perspectives that will permit cross‐perspectival explanation, and thus allow for a more holistic picture of reality to emerge. With respect to modern linguistics, however, Giere's perspectivism merely legalises a de facto state of affairs, as this discipline displays the peaceful coexistence of a multitude of different theoretical perspectives. Still, this makes it all the more important to show how the different aspects of language picked out by these different perspectives combine to form one single complex reality. During our investigation, a largely overlooked type of reduction within linguistics comes to light, prevalent in classical as well as current work within speech act theory and politeness theory. We suggest how a more holistic understanding of language can be attained through our technique for integrating different perspectives.
Prevalence of maternal depression and anxiety symptoms and associations with child mental health outcomes in rural Nepal
Authors: Dielemans Aila , Mahat Pashupati , Dunn Julia Alexandra , Balcke Emily , Kumar Jha Rajesh , Ghimire Smriti , Gaire Himal , Honikman Simone 
Published: December 2023

AbstractObjectivesThis study describes the prevalence, associated factors and child mental health outcomes related to symptoms of maternal depression and anxiety within 5 years after childbirth in a rural district in Nepal. This association is not well‐understood in rural, community‐based settings in low‐ and middle‐income countries (LMIC).MethodsA sample of 347 women with children under 5 years was recruited in September 2019 for a cross‐sectional study in the rural Saptari district in Nepal. Multivariable logistic regression was used to investigate the association between maternal depressive or anxiety symptoms and children's experience and impact of emotional and behavioural difficulties.ResultsIn total, 144 women (41.5%) had moderate or severe depression symptoms and 118 (34%) had anxiety symptoms. Mothers with a lower income were more likely to have anxiety symptoms than the highest income group (OR: 1.8, 95% CI: 1.1–3.0). An association existed between maternal depressive symptoms and the impact of emotional or behavioural difficulties in children (OR: 2.44, 95% CI: 1.02–5.84). In contrast, there was no association between maternal anxiety and child outcomes.ConclusionsOur findings suggest that the prevalence of probable maternal anxiety and depression symptoms was relatively high in this rural, low‐resourced and community‐based setting in Nepal. Maternal depressive symptoms were associated with the degree of impact on children's mental health post‐infancy, emphasising the importance of improving maternal mental health in the early years of a child's life.
On finite d$d$‐maximal groups
Authors: Lucchini Andrea , Sabatini Luca , Stanojkovski Mima 
Published: December 2023

AbstractLet be a positive integer. A finite group is called ‐maximal if it can be generated by precisely elements, whereas its proper subgroups have smaller generating sets. For , the ‐maximal groups have been classified up to isomorphism and only partial results have been proved for larger . In this work, we prove that a ‐maximal group is supersolvable and we give a characterisation of ‐maximality in terms of so‐called maximal ‐pairs. Moreover, we classify the maximal ‐pairs of small rank obtaining, as a consequence, the classification of the isomorphism classes of 3‐maximal finite groups.
Drivers, hitting times, and weldings in Loewner's equation
Authors: Margarint Vlad , Mesikepp Tim 
Published: December 2023

AbstractIn addition to conformal weldings , simple curves growing in the upper half plane generate driving functions and hitting times through Loewner's differential equation. While the Loewner transform and its inverse have been carefully examined, less attention has been paid to the maps . We study the continuity properties of these latter transformations and show that uniform driver convergence implies uniform hitting time convergence and uniform welding convergence, even when the corresponding curves do not converge. Welding convergence implies neither hitting time nor driver convergence, while hitting time convergence implies driver convergence in (at least) the case of constant drivers. As an application, we show that a curve of finite Loewner energy can be well approximated by an energy minimizer that matches ’s welding on a sufficiently‐fine mesh.
A unified approach to higher order discrete and smooth isoperimetric inequalities
Authors: Kwong Kwok‐Kun 
Published: December 2023

AbstractWe present a unified approach to derive sharp isoperimetric‐type inequalities of arbitrary high order. In particular, we obtain (i) sharp high‐order discrete polygonal isoperimetric‐type inequalities, (ii) sharp high‐order isoperimetric‐type inequalities for smooth curves with both upper and lower bounds for the isoperimetric deficit, and (iii) sharp higher order Chernoff‐type inequalities involving a generalized width function and higher order locus of curvature centers. Our approach involves obtaining higher order discrete or smooth Wirtinger inequalities via Fourier analysis, by examining a family of linear operators. The key to our approach is identifying the appropriate linear operator and translating the analytic inequalities into geometric ones.
High-Gain-Observer-Based Predictive Output Feedback for Nonlinear Systems With Large Input-Delays
Authors: Lei Jing 
Published: December 2023

Abstract
The predictor feedback has been demonstrated to be quite effective in large delay compensation. However, few researches in the field of predictor feedback for large delays focused on output feedback control (OFC). This paper develops the previous work to design high-gain-observer-based predictive output feedback for nonlinear systems with large delays. Two methods are employed for large delay compensation: the backstepping-based partial differential equation (PDE) method and the reduction-based ordinary differential equation (ODE) method. It appears that, for continuous-time control, the first method leads to simpler linear matrix inequality (LMI) conditions and deal with larger delays, whereas the second method is easily exploited for sampled-data implementation under continuous-time measurement. Lyapunov–Krasovskii method is presented to guarantee the exponential stability of the nonlinear systems under predictor-based controllers. Through a simulation example of pendulum, the proposed methods are demonstrated to be efficient when the input delays are too large for the system to be stabilized without a predictor.
Optimal Control of Mechanical Systems Based on Path-Fitted Variational Integrators
Authors: Kong Xinlei , Yu Shiyu , Wu Huibin 
Published: December 2023

Abstract
In view of the crucial importance of optimal control in many application areas and the improved performance of path-fitted variational integrators, the paper links these two aspects and presents a methodology to find optimal control policies for mechanical systems. The main process of the methodology is employing path-fitted variational integrators to discretize the forced mechanical equations and further take the obtained discrete equations as equality constraints for the final optimization problem. Simultaneously, the discretization also provides a reasonable way to approximate the objective function and incorporate the boundary conditions. With the transformation of optimal control problems into nonlinear optimization problems, all the benefits of path-fitted variational integrators are inherited by the presented methodology, mainly expressed in giving more faithful optimizations and thus more accurate solutions, providing a greater possibility of global optimality, as well as conserving computed control efforts. These superiorities, verified by the optimal control of an overhead crane, indicate that the methodology has high potential application in industrial control field.
Evaluation of PhenoMATRIX and PhenoMATRIX PLUS for the screening of MRSA from nasal and inguinal/perineal swabs using chromogenic media
Authors: Cherkaoui Abdessalam , Renzi Gesuele , Schrenzel Jacques 
Published: December 2023

ABSTRACT

The objective of this study was to assess the clinical performances of PhenoMATRIX and PhenoMATRIX PLUS for the screening of methicillin-resistant
Staphylococcus aureus
(MRSA) from nasal and inguinal/perineal ESwabs using chromogenic media. The automated performances were compared to the manual reading. Additionally, we evaluated PhenoMATRIX PLUS for the automatic release of the negative results to the Laboratory Information System (LIS) and the automatic discharge of the negative plates from the incubators. A total of 6,771 non-duplicate specimens were used by PhenoMATRIX as a machine learning model. The validation of these settings was performed on 17,223 non-duplicate specimens. The MRSA positivity rate was 5% (866/17,223). Validated settings were then used by PhenoMATRIX PLUS on another 1,409 non-duplicate specimens. The sensitivities of PhenoMATRIX and PhenoMATRIX PLUS were 99.8% [95% confidence interval (CI), 99.2%–99.9%] and 100% (95% CI, 92.1%–100%), respectively. The specificities of PhenoMATRIX and PhenoMATRIX PLUS were 99.1% (95% CI, 99.0%–99.2%) and 95.2% (95% CI, 93.8%–96.1%), respectively. All the 1,297 MRSA-negative specimens analyzed by PhenoMATRIX PLUS were automatically released and sent to the LIS immediately after availability of the culture image on the WASPLab (100% accuracy). All negative media plates were automatically discarded. PhenoMATRIX PLUS decreases the time spent by technologists on negative plates and ensures optimal usage of the incubators' capacity.
Supplemental Material: Methane-carbon budget of a ferruginous meromictic lake and implications for marine methane dynamics on early Earth
Authors: Akam Sajjad Abdullajint , Chuang Pei-Chuan , al. et 
Published: December 2023

<p>Additional information on lake setting, water chemistry measurements, organic carbon loading calculation, sediment coring, age dating, mass accumulation rates, reaction transport model description, δ13C and C:N compositions for organic carbon source identification, oxidation state of iron in sediments, methane storage comparison with lakes of similar size, and overall carbon cycling schematic. </p>
Predictors of parenchymal hematoma and clinical outcome after mechanical thrombectomy in patients with large ischemic core due to large vessel occlusion: a retrospective multicenter study
Authors: Alexandre Andrea M , Scarcia Luca , Brunetti Valerio , Scala Irene , Kalsoum Erwah , Valente Iacopo , Camilli Arianna , De Leoni Davide , Colò Francesca , Frisullo Giovanni , Piano Mariangela , Rollo Claudia , Macera Antonio , Ruggiero Maria , Lafe Elvis , Gabrieli Joseph D , Cester Giacomo , Limbucci Nicola , Arba Francesco , Ferretti Simone , Da Ros Valerio , Bellini Luigi , Salsano Giancarlo , Mavilio Nicola , Russo Riccardo , Bergui Mauro , Caragliano Antonio A , Vinci Sergio L , Romano Daniele G , Frauenfelder Giulia , Semeraro Vittorio , Ganimede Maria P , Lozupone Emilio , Romi Andrea , Cavallini Anna , Milonia Luca , Muto Massimo , Giordano Flavio , Cirillo Luigi , Calabresi Paolo , Pedicelli Alessandro , Broccolini Aldobrando 
Published: December 2023

BackgroundThe aim of our study was to find predictors of parenchymal hematoma (PH) and clinical outcome after mechanical thrombectomy (MT) in patients with large vessel occlusion (LVO) and baseline large infarct.MethodsThe databases of 16 stroke centers were retrospectively screened for patients with anterior circulation LVO and baseline Alberta Stroke Program Early CT Score (ASPECTS) ≤5 that received MT. Procedural parameters, including the number of passes during first and second technique of MT, were recorded. Outcome measures were occurrence of PH type 2 and any type of PH after MT, and the 90-day modified Rankin Scale (mRS) score of 0–3 and 0–2.ResultsIn total, 408 patients were available for analysis. A higher number of passes in the second technique was predictive of PH type 2 (odds ratio (OR) - 3.204, 95% confidence interval (CI) 1.140 to 9.005), whereas procedure conducted under general anesthesia was associated with lower risk (OR 0.127, 95% CI 0.002 to 0.808). The modified thrombolysis in cerebral infarction grade 2c-3 was associated with the mRS score 0–3 (OR 3.373, 95% CI 1.891 to 6.017), whereas occurrence of PH type 2 was predictive of unfavorable outcome (OR 0.221, 95% CI 0.063 to 0.773). Similar results were found for the mRS score 0–2 outcome measure.ConclusionIn patients with large ischemic core, a higher number of passes during MT and procedure not conducted under general anesthesia are associated with increased rate of PH type 2, that negatively impact the clinical outcome. Our data outline a delicate balance between the need of a complete recanalization and the risk of PH following MT.