bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fostering effective and sustainable scientific collaboration and knowledge exchange: a workshop-based approach to establish a national ecological observatory network (NEON) domain-specific user group
Authors: Donnelly Alison , Desai Ankur R. , Heckman Katherine A. , Nave Lucas E. , Cramer Michael J. , Faust Marie , Weishampel Peter , Slemmons Caleb , Andresen Christian G. , Ayres Edward , Cotey Stacy R. , Docherty Kathryn M. , Hatzis Joshua , Hofmeister Kathryn , LaMontagne Jalene M. , Lenters John D. , Lottig Noah R. , Marcarelli Amy M. , Miesel Jessica , Riddle Jason , Salmon-Tumas Meghan , SanClements Mike D. , Sapkota Subash , Schwartz Mark D. , Sharma Puja , Shrestha Ojaswee , Vincent Geoffrey , Waupochick Angela , Zheng Ting , Ye Zhiwei 
Published: April 2024

AbstractThe decision to establish a network of researchers centers on identifying shared research goals. Ecologically specific regions, such as the USA’s National Ecological Observatory Network’s (NEON’s) eco-climatic domains, are ideal locations by which to assemble researchers with a diverse range of expertise but focused on the same set of ecological challenges. The recently established Great Lakes User Group (GLUG) is NEON’s first domain specific ensemble of researchers, whose goal is to address scientific and technical issues specific to the Great Lakes Domain 5 (D05) by using NEON data to enable advancement of ecosystem science. Here, we report on GLUG’s kick off workshop, which comprised lightning talks, keynote presentations, breakout brainstorming sessions and field site visits. Together, these activities created an environment to foster and strengthen GLUG and NEON user engagement. The tangible outcomes of the workshop exceeded initial expectations and include plans for (i) two journal articles (in addition to this one), (ii) two potential funding proposals, (iii) an assignable assets request and (iv) development of classroom activities using NEON datasets. The success of this 2.5-day event was due to a combination of factors, including establishment of clear objectives, adopting engaging activities and providing opportunities for active participation and inclusive collaboration with diverse participants. Given the success of this approach we encourage others, wanting to organize similar groups of researchers, to adopt the workshop framework presented here which will strengthen existing collaborations and foster new ones, together with raising greater awareness and promotion of use of NEON datasets. Establishing domain specific user groups will help bridge the scale gap between site level data collection and addressing regional and larger ecological challenges.
Effective seedbank management to ensure food security and preserve biodiversity
Authors: Bhattacharya Samik , Mummenhoff Klaus 
Published: April 2024

AbstractThe future of biodiversity maintenance and crop security faces significant threats due to climate instability. Ex situ seed banks can serve as refuges for major crop varieties and their wild relatives in catastrophic situations. However, managing these repositories requires regular quality control to ensure the viability of preserved samples for future regeneration. In this opinion, we have identified significant challenges in traditional seed bank management, including difficulties in scheduling seed viability tests for a diverse collection and the burden of replenishing depleted stored samples. We have also examined the advantages and disadvantages of different seed viability tests used in long-term seed repositories for ex situ biodiversity conservation. While the ultimate goal of seed conservation is to achieve non-destructive methods of viability estimation, the additional predictive potential of such tests can revolutionize traditional management practices. Timely replenishment of decaying seeds can ensure sustainable genomic storage and positively impact agricultural legacy and genetic diversity preservation. This opinion provides an open platform to review current management practices and explore alternative and efficient ways to secure the ‘ultimate repository’ of agricultural legacy and genetic diversity.
Mapping the landscape of research on 360-degree videos and images: a network and cluster analysis
Authors: Mancuso Valentina , Borghesi Francesca , Bruni Francesca , Pedroli Elisa , Cipresso Pietro 
Published: April 2024

AbstractThe recent emergence of low-cost virtual reality technologies, like 360° videos and images is attracting the attention of researchers suggesting it could be the next significant step in technological innovation. The birth of 360° videos and images is quite young, it goes back to the middle of the nineteenth century and then spread more and more in many areas. In recent years, 360° videos and images have grown in popularity because they provide a great number of advantages compared to traditional virtual reality computer-generated technology. The aim of this research is to map scientific works in the area of 360° technology using advanced scientometric techniques. We collected all the existent articles about 360° contents in the Scopus database, and the resultant dataset contained 3319 records. The bibliographic record encompassed all categories of scientific articles retrieved from Scopus, considering parameters such as countries, institutions, journals, authors, citation counts, and publication years. The network and cluster analysis of the literature showed a composite panorama characterized by changes and evolutions over time of the use of 360° contents. We discuss these aspects in the main areas of application with an emphasis on the future expected 360° capacities, increases, and challenges. As already happened with the advent of virtual reality, the future of 360° technology will be an increasing shift from engineering to clinical use, by improving the use and the development of scientific applications in clinical areas and by modifying social communication and interaction among people.
Prevalence of CTX-M types among ESBL-producing pathogenic Escherichia coli isolates from foodborne diarrheal patients in Gyeonggi-do, South Korea
Authors: Park Nanjoo , Hur Jeong In , Lee Sohyun , Ryu Sangryeol 
Published: April 2024

AbstractPrevalence and characteristics of extended-spectrum β-lactamase (ESBL)-producing pathogenic Escherichia coli from foodborne diarrheal patients were studied. Analysis of 495 E. coli isolates revealed that 80 isolates were ESBL-producing pathogenic E. coli, and enteroaggregative E. coli and enterotoxigenic E. coli were two of the most prevalent pathotypes. In silico Clermont phylo-typing of the 80 ESBL-producing E. coli showed that phylogroup A (49/80) and D (22/80) were the predominant phylogroups. The average nucleotide identity analysis of ESBL-producing E. coli disclosed that they could be grouped into two phylogenetic groups; 25 A and 55 B groups. All strains, except one, harbored the blaCTX-M gene. All CTX-M-15 type ESBL-producing strains also carried qnrS, a plasmid-mediated quinolone resistance gene (PMQR). These results suggest that the diversity of ESBL-producing E. coli is high and that co-existence of blaCTX-M-15 and qnrS genes is widespread, highlighting their high risk of antibiotic-resistance spreading in infectious disease outbreaks.
Perinatal outcome in anti-NMDAr encephalitis during pregnancy—a systematic review with individual patients’ data analysis
Authors: Scorrano Giovanna , Dono Fedele , Corniello Clarissa , Consoli Stefano , Evangelista Giacomo , Di Ludovico Armando , Chiarelli Francesco , Anzellotti Francesca , Di Iorio Angelo , Sensi Stefano L. 
Published: April 2024

Abstract
Introduction
Anti-N-methyl-D-aspartate receptor (NMDAr) antibody encephalitis is an autoimmune disorder characterized by synaptic NMDAr current disruption and receptor hypofunction, often affecting women during pregnancy. Clinical manifestations associated with anti-NMDAr encephalitis can occur both in the mother and fetus.

Methods
We generated a systematic search of the literature to identify epidemiological, clinical, and serological data related to pregnant women with anti-NMDAr encephalitis and their children, analyzing the fetal outcomes. We examined the age and neurologic symptoms of the mothers, the presence of an underlying tumor, immunotherapies used during pregnancy, duration of the pregnancy, and type of delivery.

Results
Data from 41 patients were extrapolated from the included studies. Spontaneous interruption of pregnancy, premature birth, and cesarean section were reported in pregnant women with NMDAr encephalitis. Several fetal and neonatal symptoms (e.g., movement disorders, spina bifida, poor sucking, respiratory distress, cardiac arrhythmias, infections, icterus, hypoglycemia, and low birth weight) depending on the mother’s serum anti-NR1 concentration were also reported.

Conclusions
We characterized the outcomes of children born from mothers with anti-NMDAr encephalitis, analyzing the pivotal risk factors related to pregnancy and maternal disorder. Neuropsychiatric involvement seems strictly related to pathogenic NMDAr antibodies detected in maternal and/or neonatal serum.
These findings clarify a complex condition to manage, outlining the risks associated with pregnant women with anti-NMDAr encephalitis and also providing a concrete guide for therapeutic strategies to prevent potential harm to the fetus and the child’s neurodevelopment.
From approximate to exact integer programming
Authors: Dadush Daniel , Eisenbrand Friedrich , Rothvoss Thomas 
Published: April 2024

Abstract
Approximate integer programming is the following: For a given convex body

$$K \subseteq {\mathbb {R}}^n$$

K
⊆

R

n

, either determine whether

$$K \cap {\mathbb {Z}}^n$$

K
∩

Z

n

is empty, or find an integer point in the convex body

$$2\cdot (K - c) +c$$

2
·
(
K
-
c
)
+
c

which is K, scaled by 2 from its center of gravity c. Approximate integer programming can be solved in time

$$2^{O(n)}$$

2

O
(
n
)

while the fastest known methods for exact integer programming run in time

$$2^{O(n)} \cdot n^n$$

2

O
(
n
)

·

n
n

. So far, there are no efficient methods for integer programming known that are based on approximate integer programming. Our main contribution are two such methods, each yielding novel complexity results. First, we show that an integer point

$$x^* \in (K \cap {\mathbb {Z}}^n)$$

x
∗

∈

(
K
∩

Z

n

)

can be found in time

$$2^{O(n)}$$

2

O
(
n
)

, provided that the remainders of each component

$$x_i^* \mod \ell $$

x
i
∗

mod

ℓ

for some arbitrarily fixed

$$\ell \ge 5(n+1)$$

ℓ
≥
5
(
n
+
1
)

of

$$x^*$$

x
∗

are given. The algorithm is based on a cutting-plane technique, iteratively halving the volume of the feasible set. The cutting planes are determined via approximate integer programming. Enumeration of the possible remainders gives a

$$2^{O(n)}n^n$$

2

O
(
n
)

n
n

algorithm for general integer programming. This matches the current best bound of an algorithm by Dadush (Integer programming, lattice algorithms, and deterministic, vol. Estimation. Georgia Institute of Technology, Atlanta, 2012) that is considerably more involved. Our algorithm also relies on a new asymmetric approximate Carathéodory theorem that might be of interest on its own. Our second method concerns integer programming problems in equation-standard form

$$Ax = b, 0 \le x \le u, \, x \in {\mathbb {Z}}^n$$

A
x
=
b
,
0
≤
x
≤
u
,

x
∈

Z

n

. Such a problem can be reduced to the solution of

$$\prod _i O(\log u_i +1)$$

∏
i

O

(
log

u
i

+
1
)

approximate integer programming problems. This implies, for example that knapsack or subset-sum problems with polynomial variable range

$$0 \le x_i \le p(n)$$

0
≤

x
i

≤
p

(
n
)

can be solved in time

$$(\log n)^{O(n)}$$

(
log
n
)

O
(
n
)

. For these problems, the best running time so far was

$$n^n \cdot 2^{O(n)}$$

n
n

·

2

O
(
n
)

.
Monotonic transformation and recovering the implied stock price process
Authors: Fusai Gianluca 
Published: April 2024

AbstractThe paper demonstrates the construction of a stock price stochastic process that aligns with observed option prices, drawing inspiration from a manuscript by Professor Erio Castagnoli that employs the concept of a non-linear monotonic transformation of a standard Brownian motion. The paper includes a detailed numerical example that illustrates the implementation of this straightforward and ingenious idea.
Fracture mechanics modeling of aortic dissection
Authors: Yeerella Ram Hemanth , Cai Shengqiang 
Published: April 2024

AbstractAortic dissection, a critical cardiovascular condition with life-threatening implications, is distinguished by the development of a tear and its propagation within the aortic wall. A thorough understanding of the initiation and progression of these tears, or cracks, is essential for accurate diagnosis and effective treatment. This paper undertakes a fracture mechanics approach to delve into the mechanics of tear propagation in aortic dissection. Our objective is to elucidate the impact of geometric and material parameters, providing valuable insights into the determinants of this pivotal cardiovascular event. Through our investigation, we have gained an understanding of how various parameters influence the energy release rate for tear propagation in both longitudinal and circumferential directions, aligning our findings with clinical data.
Local Economic Conditions Affect Aedes albopictus Management
Authors: Cerri Jacopo , Sciandra Chiara , Contardo Tania , Bertolino Sandro 
Published: April 2024

AbstractInvasive mosquitoes are an emerging public health issue, as many species are competent vectors for pathogens. We assessed how multiple environmental and socio-economic factors affected the engagement of municipalities in Italy (n = 7679) in actions against Aedes albopictus, an invasive mosquito affecting human health and well-being, between 2000 and 2020. We collected information about mosquito control from official documents and municipal websites and modeled the role played by multiple environmental and socioeconomic factors characterizing each municipality through the random forest algorithm. Municipalities are more prone to manage A. albopictus if more urbanized, in lowlands and with long infestation periods. Moreover, these variables are more predictive of management in municipalities with a high median income and thus more economic resources. Only 25.5% of Italian municipalities approved regulations for managing A. albopictus, and very few of them were in Southern Italy, the most deprived area of the country. Our findings indicate that local economic conditions moderate the effect of other drivers of mosquito control and ultimately can lead to better management of A. albopictus. If the management of invasive mosquitoes, or other forms of global change, is subjected to local economic conditions, economic inequalities will jeopardize the success of large-scale policies, also raising issues of environmental and climate justice.
Evaluation of Apparatus and Protocols to Measure Human Passive Neck Stiffness and Range of Motion
Authors: Liu Mingyue , Quarrington Ryan D. , Sandoz Baptiste , Robertson William S. P. , Jones Claire F. 
Published: April 2024

AbstractUnderstanding of human neck stiffness and range of motion (ROM) with minimal neck muscle activation (“passive”) is important for clinical and bioengineering applications. The aim of this study was to develop, implement, and evaluate the reliability of methods for assessing passive-lying stiffness and ROM, in six head-neck rotation directions. Six participants completed two assessment sessions. To perform passive-lying tests, the participant’s head and torso were strapped to a bending (flexion, extension, lateral bending) or a rotation (axial rotation) apparatus, and clinical bed, respectively. The head and neck were manually rotated by the researcher to the participant’s maximum ROM, to assess passive-lying stiffness. Participant-initiated (“active”) head ROM was also assessed in the apparatus, and seated. Various measures of apparatus functionality were assessed. ROM was similar for all assessment configurations in each motion direction except flexion. In each direction, passive stiffness generally increased throughout neck rotation. Within-session reliability for stiffness (ICC > 0.656) and ROM (ICC > 0.872) was acceptable, but between-session reliability was low for some motion directions, probably due to intrinsic participant factors, participant-apparatus interaction, and the relatively low participant number. Moment-angle corridors from both assessment sessions were similar, suggesting that with greater sample size, these methods may be suitable for estimating population-level corridors.
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition
Authors: Brivio Simone , Fresca Stefania , Franco Nicola Rares , Manzoni Andrea 
Published: April 2024

AbstractPOD-DL-ROMs have been recently proposed as an extremely versatile strategy to build accurate and reliable reduced order models (ROMs) for nonlinear parametrized partial differential equations, combining (i) a preliminary dimensionality reduction obtained through proper orthogonal decomposition (POD) for the sake of efficiency, (ii) an autoencoder architecture that further reduces the dimensionality of the POD space to a handful of latent coordinates, and (iii) a dense neural network to learn the map that describes the dynamics of the latent coordinates as a function of the input parameters and the time variable. Within this work, we aim at justifying the outstanding approximation capabilities of POD-DL-ROMs by means of a thorough error analysis, showing how the sampling required to generate training data, the dimension of the POD space, and the complexity of the underlying neural networks, impact on the solutions us to formulate practical criteria to control the relative error in the approximation of the solution field of interest, and derive general error estimates. Furthermore, we show that, from a theoretical point of view, POD-DL-ROMs outperform several deep learning-based techniques in terms of model complexity. Finally, we validate our findings by means of suitable numerical experiments, ranging from parameter-dependent operators analytically defined to several parametrized PDEs.
The International Performance, Resilience and Efficiency Program Protocol for the Application of HRV Biofeedback in Applied Law Enforcement Settings
Authors: Andersen Judith P. , Arpaia Joseph , Gustafsberg Harri , Poplawski Steve , Di Nota Paula M. 
Published: April 2024

AbstractLaw enforcement officers are routinely exposed to high-threat encounters that elicit physiological stress responses that impact health, performance, and safety. Therefore, self-regulation using evidence-based approaches is a priority in police research and practice. This paper describes a five-module heart rate variability biofeedback (HRVB) protocol that is part of a larger resilience program (the International Performance Resilience and Efficiency Program – iPREP) established in 2014. Supported by 10 years of user-informed research and development, our methods are tailored to address occupational stressors and the practical realities of training and resource availability in operational settings. Building on existing clinical methods that comprise five to six weekly sessions and up to 40-min of daily practice, our iPREP HRVB protocol is typically delivered in a condensed format across 2–3 days and is seamlessly integrated with reality-based training scenarios commonly employed in policing. By combining best practices in clinical HRVB with police-specific pedagogical frameworks, officers receive accelerated and job-relevant training to adaptively modulate autonomic responses to acute and chronic stress. Efficacy of the iPREP HRVB protocol is supported by several research studies of various methodological designs (i.e., randomized control trial, longitudinal cohort) that demonstrate immediate and sustained improvements in police performance and physiological health outcomes. We conclude with a critical appraisal of the available empirical evidence contrasting common and emerging breathing techniques proposed for use in operational policing contexts. The critical appraisal guide is intended to serve as a resource for law enforcement agencies, governing bodies, and operators when choosing appropriate and effective self-regulation training approaches.
Risk factors contributing to tick-acaricide control failure in communal areas of the Oliver Tambo district eastern cape province, South Africa
Authors: Dzemo William Diymba , Thekisoe Oriel , Vudriko Patrick 
Published: April 2024

AbstractApplication of chemical acaricides in the control of ticks has led to the problem of tick-acaricide control failure. To obtain an understanding of the possible risk factors involved in this tick-acaricide control failure, this study investigated tick control practices on communal farms in the north-eastern part of the Eastern Cape Province (ECP) of South Africa. A semi-structured questionnaire designed to document specific farm attributes and acaricide usage practices was administered at 94 communal farms from the Oliver Tambo District municipality of the ECP. Data collected indicated that the main acaricide chemicals used at plunge dips of inland and coastal areas were synthetic pyrethroid formulations. Most (75%) farmers claimed not to have noticed a significant reduction in numbers of actively feeding and growing ticks on cattle after several acaricide treatments. Based on the farmers’ perceptions, leading factors that could have led to tick-acaricide control failure included: weak strength of the dip solution (76%); poor structural state of dip tanks (42%); and irregular tick control (21%). The rearing of crossbreeds of local and exotic cattle breeds, perceived weak strength of the dip solution and high frequency of acaricide treatment, were statistically associated with proportions of farms reporting tick-acaricide control failure. Furthermore, approximately 50% of farms reported at least four tick control malpractices, which could have resulted in the emergence and spread of tick-acaricide control failure. Other sub-optimal tick control practices encountered included incorrect acaricide rotation, and failure to treat all cattle in a herd. This data will inform and guide the development of management strategies for tick-acaricide control failure and resistance in communal farming areas.
Beyond Reach but Within Sight: Ethical Leaders’ Pursuit of Seemingly Unattainable Role Models in East Asia
Authors: Chou Sophia Chia-Min 
Published: April 2024

AbstractInspired by Confucianism, Daoism, and Buddhism, many East Asian ethical leaders have aspired to emulate seemingly unattainable sages and buddhas throughout history. This aspiration challenges the common psychological view that significant gaps between role models and actual selves might hinder emulation motivation. It also differs from Western findings, which suggest that ethical leadership often emerges from emulating attainable exemplars like immediate supervisors or mentors. To decipher this intriguing emulation behavior in East Asia, this study employed a multiple-case approach involving 25 ethical leaders from Taiwan. Results indicate that these ethical leaders formulate three approaches to sustain emulation motivation for seemingly unattainable exemplars. First, they draw on East Asian philosophies to address demotivating factors such as ego threats and goal unattainability. Second, they embrace the cultural values of the Sinosphere, amplifying motivators like self-betterment, altruism, and life purpose. Lastly, they capitalize on the collective tendency of their culture to assimilate positive environmental influences, including societal norms and social support. These findings elucidate how and why many East Asian ethical leaders sustain buddha/sage emulation: The cultural resources of the Sinosphere nurture effective psychological strategies, underpinned by universal psychological mechanisms that suggest wider applicability across various societies.