bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical analysis of the geophysical parameter sensitivity on the multimode Love wave dispersion curves
Authors: Hamimu La , Cahyono Edi , Budiman Herdi , Haraty Syamsul Razak , Ransi Natalis 
Published: January 2024

Abstract
The characteristics of multimode Love wave dispersion curves are dependent on various geophysical parameters, namely shear wave velocity (SWV), layer thickness and density. This paper presents a novel numerical analysis of these parameters to determine which ones have a significant effect on the dispersion curves of multimode Love waves. Identifying parameter sensitivity is a crucial step in the inversion procedure of geophysical modeling. Our numerical analysis focuses on perturbing three geophysical parameters that influence the dispersion curves. The results confirm that SWV parameter is the most sensitive. By employing the same perturbation procedure, our numerical analysis reveals that the SWV parameter has a highly significant impact on the multimode Love wave dispersion curves. The average relative error (RE) values are found to be 27.33% for alpha = −0.2 and 25.51% for alpha = +0.2. Conversely, perturbing the layer thickness parameter demonstrates no significant influence on the dispersion curves, resulting in average RE values of 5.69% for alpha = −0.2 and 7.96% for alpha = +0.2. Furthermore, the perturbation of the density parameter exhibits an extremely negligible impact on the multimode Love wave dispersion curves, with average RE values on the order of 10−14%.
mvlearnR and Shiny App for multiview learning
Authors: Palzer Elise F , Safo Sandra E 
Published: January 2024

Abstract

Summary
The package mvlearnR and accompanying Shiny App is intended for integrating data from multiple sources or views or modalities (e.g. genomics, proteomics, clinical, and demographic data). Most existing software packages for multiview learning are decentralized and offer limited capabilities, making it difficult for users to perform comprehensive integrative analysis. The new package wraps statistical and machine learning methods and graphical tools, providing a convenient and easy data integration workflow. For users with limited programming language, we provide a Shiny Application to facilitate data integration anywhere and on any device. The methods have potential to offer deeper insights into complex disease mechanisms.

Availability and implementation
mvlearnR is available from the following GitHub repository: https://github.com/lasandrall/mvlearnR. The web application is hosted on shinyapps.io and available at: https://multi-viewlearn.shinyapps.io/MultiView_Modeling/.
Efficacy of cabergoline in non-irradiated patients with acromegaly: a multi-centre cohort study
Authors: Urwyler Sandrine A , Samperi Irene , Lithgow Kirstie , Mavilakandy Akash , Matheou Mike , Bradley Karin , Pal Aparna , Reddy Narendra L , Ayuk John , Karavitaki Niki 
Published: January 2024

Abstract

Objective
This study aimed to elucidate the efficacy (as per current biochemical criteria) of cabergoline monotherapy or as addition to long-acting somatostatin receptor ligand (SRL) in patients with acromegaly and no previous pituitary radiotherapy.

Design
Multi-centre, retrospective, cohort study (four UK pituitary centres: Birmingham, Bristol, Leicester, and Oxford).

Methods
Clinical, laboratory, and imaging data were analysed.

Results
Sixty-nine patients on cabergoline monotherapy were included (median insulin-like growth factor 1 [IGF-1] × upper limit of normal [ULN] pre-cabergoline 2.13 [1.02-8.54], median treatment duration 23 months, and median latest weekly dose 3 mg); 31.9% achieved normal IGF-1 (25% growth hormone [GH]-secreting and 60% GH+prolactin co-secreting tumours); median weekly cabergoline dose was similar between responders and non-responders. Insulin-like growth factor 1 normalization was related with GH+prolactin co-secreting adenoma (B 1.50, P = .02) and lower pre-cabergoline IGF-1 × ULN levels (B −0.70, P = .02). Both normal IGF-1 and GH &lt; 1 mcg/L were detected in 12.9% of cases and tumour shrinkage in 29.4% of GH-secreting adenomas.
Twenty-six patients on SRL + cabergoline were included (median IGF-1 × ULN pre-cabergoline 1.7 [1.03-2.92], median treatment duration 36 months, and median latest weekly dose 2.5 mg); 23.1% achieved normal IGF-1 (15.8% GH-secreting and 33.3% GHprolactin co-secreting tumours). Normal IGF-1 and GH &lt; 1 mcg/L were detected in 17.4%.

Conclusions
In non-irradiated patients, cabergoline normalizes IGF-1 in around one-third and achieves both IGF-1 and GH targets in approximately one out of ten cases. SRL + cabergoline is less efficient than previously reported possibly due to differences in study methodology and impact of confounding factors.
When economically optimal is ecologically complicated: modeling tree-by-tree cutting decisions to maximize financial returns from northern hardwood stands
Authors: Foppert John D , Maker Neal F 
Published: January 2024

Abstract
This study challenges a long-standing and often uncontested assertion in the forestry discourse that maximizing financial returns always requires ecologically simplified stands. We developed a high-resolution simulation tool for northern hardwood stands in eastern North America and integrated advanced numerical optimization methods to model the tree-level harvest decisions that maximize financial returns. We modeled each individual tree’s growth and its probability of natural mortality, conditioned on the evolving neighborhood-scale competitive environment it resides in. We developed size-, species-, and grade-specific price functions to assign potential harvest revenue values to each discrete bole section of each standing tree, and we used an evolutionary search algorithm to specify the financially optimal timing of tree-by-tree removals. We modeled three different case studies, representing a broad range of northern hardwood stand conditions, including a hypothetical 50-year-old, even-aged stand and two inventoried stands in northern New York, USA, with contrasting management histories. We observed consistent results across all three cases: maximizing financial returns from northern hardwood forests requires silvicultural finesse and results in ecologically complicated stands.
Temperature digital twins model for blueberry pre-cooling based on micro-cluster method
Authors: Wang Da , Yang Xiangzheng , Wu Di , Jia Lianwen , Wei Wenwen 
Published: January 2024

Abstract

Objectives
In order to improve the prediction accuracy of forced-air pre-cooling for blueberries, a mathematical model of forced-air pre-cooling for blueberries based on the micro-cluster method was established.

Materials and Methods
In order to determine the optimal micro-cluster model parameters suitable for forced air pre-cooling of blueberries, three factors controlling the micro-cluster geometry parameters were evaluated by 7/8 pre-cooling time, uniformity, and convective heat transfer coefficient.

Results
It was found that the optimal values of the number of micro-clusters (n3), the distance between individual units within a micro-cluster (a) and the distance between micro-clusters (c) were 3, 0.75, and 0.2, respectively. Under these optimal values, the temperature error of the micro-cluster method remained below 1 °C, achieving highly accurate temperature predictions during the blueberry pre-cooling process. The results showed that the micro-cluster method effectively solved the challenges of complex configuration, long simulation time, and low accuracy compared to the porous medium and equivalent sphere methods.

Conclusion
Based on the above analysis, it can be concluded that the micro-cluster method provids a theoretical basis for optimizing forced-air pre-cooling processes and making informed control decisions.
Complex rupture evolution of the 2007 Martinique earthquake: a non-double-couple event in the Caribbean Sea
Authors: Ohara Kenta , Yagi Yuji , Okuwaki Ryo 
Published: January 2024

SUMMARY
A large non-double-couple component of a tectonic earthquake indicates that its rupture likely was complex and likely involved multiple faults. Detailed source models of such earthquakes can add to our understanding of earthquake source complexity. The 2007 Martinique earthquake in the Caribbean Sea is one of the largest recent earthquakes with a known large non-double-couple component. It was an intermediate depth intraslab earthquake within the South American plate where it is subducting beneath the Caribbean plate. We applied potency density tensor inversion (PDTI) to teleseismic P waves generated by the 2007 Martinique earthquake to model its source processes and focal mechanism distribution. We identified two focal mechanisms: a strike-slip mechanism with a north–south tension axis (T-axis), and a downdip extension (DDE) mechanism with an east–west T-axis. Rupture by the DDE mechanism was predominant in the northern part of the source region and strike-slip rupture in the southern part. These two focal mechanisms had approximately parallel pressure axes (P-axes) and approximately orthogonal T-axes. The seismic moments released by both types of rupture were almost equal. These results indicate that the 2007 Martinique earthquake had a large non-double-couple component. We identified five subevents with two predominant directions of rupture propagation: two strike-slip subevents propagated to the southeast and three DDE subevents propagated to the east. Although the directions of propagation were consistent for each focal mechanism, each subevent appears to have occurred in isolation. For example, the rupture of one DDE subevent propagated from the edge of the source region back towards the hypocentre. Complex ruptures that include multiple subevents may be influenced by high pore fluid pressure associated with slab dehydration. Our results show that PDTI can produce stable estimates of complex seismic source processes and provide useful information about the sources of complex intermediate depth intraslab earthquakes for which fault geometry assumptions are difficult.
Torque Teno Virus Load Is Associated With Centers for Disease Control and Prevention Stage and CD4+ Cell Count in People Living With Human Immunodeficiency Virus but Seems Unrelated to AIDS-Defining Events and Human Pegivirus Load
Authors: Esser Pia L , Quintanares Gibran H Rubio , Langhans Bettina , Heger Eva , Böhm Michael , Jensen Björn-Erik O L E , Esser Stefan , Lübke Nadine , Fätkenheuer Gerd , Lengauer Thomas , Klein Florian , Oette Mark , Rockstroh Juergen K , Boesecke Christoph , Di Cristanziano Veronica , Kaiser Rolf , Pirkl Martin 
Published: January 2024

Abstract

Background
Torque teno virus (TTV) is part of the human virome. TTV load was related to the immune status in patients after organ transplantation. We hypothesize that TTV load could be an additional marker for immune function in people living with HIV (PLWH).

Methods
In this analysis, serum samples of PLWH from the RESINA multicenter cohort were reanalyzed for TTV. Investigated clinical and epidemiological parameters included human pegivirus load, patient age and sex, HIV load, CD4+ T-cell count (Centers for Disease Control and Prevention [CDC] stage 1, 2, or 3), and CDC clinical stage (1993 CDC classification system; stage A, B, or C) before initiation of antiretroviral therapy. Regression analysis was used to detect possible associations among parameters.

Results
Our analysis confirmed TTV as a strong predictor of CD4+ T-cell count and CDC class 3. This relationship was used to propose a first classification of TTV load with regard to clinical stage. We found no association with clinical CDC stages A–C. The human pegivirus load was inversely correlated with HIV load but not TTV load.

Conclusions
TTV load was associated with immunodeficiency in PLWH. Neither TTV nor HIV load were predictive for the clinical categories of HIV infection.
Alterations of rumen and fecal microbiome in growing beef and dairy steers fed rumen-protected Capsicum oleoresin
Authors: Bierly Stephanie A , Van Syoc Emily P , Westphalen Mariana F , Miles Asha M , Gaeta Natalia C , Felix Tara L , Hristov Alexander N , Ganda Erika K 
Published: January 2024

Abstract
The microbiome has been linked to animal health and productivity, and thus, modulating animal microbiomes is becoming of increasing interest. Antimicrobial growth promoters (AGP) were once a common technology used to modulate the microbiome, but regulation and consumer pressure have decreased AGP use in food animals. One alternative to antimicrobial growth promoters are phytotherapeutics, compounds derived from plants. Capsaicin is a compound from the Capsicum genus, which includes chili peppers. Capsaicin has antimicrobial properties and could be used to manipulate the gastrointestinal microbiome of cattle. Both the rumen and fecal microbiomes are essential to cattle health and production, and modulation of either microbiome can affect both cattle health and productivity. We hypothesized that the addition of rumen-protected capsaicin to the diet of cattle would alter the composition of the fecal microbiome, but not the rumen microbiome. To determine the impact of rumen-protected capsaicin in cattle, four Holstein and four Angus steers were fed rumen-protected Capsicum oleoresin at 0 (Control), 5, 10, or 15 mg kg−1 diet dry matter. Cattle were fed in treatment groups in a 4 × 4 Latin Square design with a 21-d adaptation phase and a 7-d sample collection phase. Rumen samples were collected on day 22 at 0-, 2-, 6-, 12-, and 18-h post-feeding, and fecal swabs were collected on the last day of sample collection, day 28, within 1 h of feeding. Sequencing data of the 16s rRNA gene was analyzed using the dada2 pipeline and taxa were assigned using the SILVA database. No differences were observed in alpha diversity among fecal or rumen samples for either breed (P &gt; 0.08) and no difference between groups was detected for either breed in rumen samples or for Angus steers in fecal samples (P &gt; 0.42). There was a difference in beta diversity between treatments in fecal samples of Holstein steers (P &lt; 0.01), however, a pairwise comparison of the treatment groups suggests no difference between treatments after adjusting for multiple comparisons. Therefore, we were unable to observe substantial overall variation in the rumen or fecal microbiomes of steers due to increasing concentrations of rumen-protected capsaicin. We do, however, see a trend toward increased concentrations of capsaicin influencing the fecal microbiome structure of Holstein steers despite this lack of significance.
The bitumen development effect on the pore structure and electrical resistivity of carbonate reservoirs in the Sinian Dengying Formation
Authors: Wu Yuyu , Lai Qiang , Wang Haitao , Yin Rong , Wang Zeyu , Chen Li , Lai Fuqiang 
Published: January 2024

Abstract
In the Sichuan Basin, bitumen widely distributes in the carbonate reservoir, and the bitumen occurrence morphology affects the pore structure and petrophysics. Two types of bitumen, boundary-filled and centre-filled, were reconstructed using a pore morphology-based method based on dolomite carbonate digital cores from X-ray computerized tomography. The pore structures of the reconstructed bitumen-filled digital core models were determined using an extracted pore network model. The finite element method simulated the electrical resistivity of the digital core model. The investigation showed that (i) boundary-developed bitumen increases the pore size whereas centre-developed bitumen decreases the pore size, and bitumen development increases the shape factor while reducing the coordination number; (ii) for electrical resistivity, boundary-filled bitumen increases the porosity exponent with increasing pore size, whereas centre-filled bitumen decreases the porosity exponent. Bitumen development caused a negative correlation between the porosity exponent and pore shape factor, a logarithmic increase between the porosity exponent and coordination number, and a power increase between the porosity exponent and porosity. Subsequently, a new porosity exponent model related to porosity was proposed based on the curve-fitting method. This new porosity exponent combines the Archie equations to calculate the saturation of the carbonate reservoir in the Sinian Dengying Formation in the Penglai gas area on the northern slope of the central Sichuan paleo-uplift, which fits the sealed core plug saturation well and provides the basis for further reservoir evaluation and fluid identification in the Penglai gas area.
The treatment of electronic games copyright protection in Brazil: analysis of copyright law and software law application
Authors: da Cruz Douglas Aleixo Santos , Junior Jucimar Maia da Silva , Freitas Silvia Regina Sampaio , de Oliveira Raimundo Correa , Barboza Ricardo da Silva 
Published: January 2024

Abstract
Brazil is currently the 5th largest game industry market by number of players, with expected year-by-year revenue growth of 5 per cent. The electronic games industry has been growing exponentially in Brazil and globally, and a specific regulation that meets the sector’s unique needs has become increasingly necessary. The lack of a regulatory framework in the Brazilian legal system directly impacts the legal security of businesses involving electronic games, especially in relation to the IP rights vesting in such assets. Intense debates have been conducted about the legal nature of electronic games, whether they are audiovisual works, works of art, computer programs or all of them combined, and what legal framework applies to these works under Brazilian law. There are several approaches to this subject; apparently, more consensus has yet to be reached. The abundance of regulatory gaps and the patchwork of different legal documents undermine the legal categorization and, consequently, the protection of these assets under IP laws. Using a methodology of bibliographic review and exploratory research, this considers the current position of electronic games in Brazil. It also proposes a specific framework for this type of work that is not simply that of audiovisual work or software, thus seeking a point of intersection between the two.
The impact of primordial black holes on the stellar mass function of ultra-faint dwarf galaxies
Authors: Esser Nicolas , De Rijcke Sven , Tinyakov Peter 
Published: January 2024

ABSTRACT
If primordial black holes (PBHs) constitute the dark matter (DM), stars forming in dark-matter dominated environments with low velocity dispersions, such as ultra-faint dwarf galaxies, may capture a black hole at birth. The capture probability is non-negligible for PBHs of masses around 1020 g, and increases with stellar mass. Moreover, infected stars are turned into virtually invisible black holes on cosmologically short time-scales. Hence, the number of observed massive main-sequence stars in ultra-faint dwarfs should be suppressed if the DM was made of asteroid-mass PBHs. This would impact the measured mass distribution of stars, making it top-light (i.e. depleted in the high-mass range). Using simulated data that mimic the present-day observational power of telescopes, we show that already existing measurements of the mass function of stars in local ultra-faint dwarfs could be used to constrain the fraction of DM composed of PBHs in the – currently unconstrained – mass range of 1019–1021 g.
Identifying 850 δ Scuti pulsators in a narrow Gaia colour range with TESS 10-min full-frame images
Authors: Read Amelie K , Bedding Timothy R , Mani Prasad , Montet Benjamin T , Crawford Courtney , Hey Daniel R , Li Yaguang , Murphy Simon J , Pedersen May Gade , Kruger Joachim 
Published: January 2024

ABSTRACT
We use TESS 10-min full-frame images (Sectors 27–55) to study a sample of 1708 stars within 500 pc of the Sun that lie in a narrow colour range in the centre of the δ Scuti instability strip (0.29 &lt; GBP − GRP &lt; 0.31). Based on the Fourier amplitude spectra, we identify 848 δ Scuti stars, as well as 47 eclipsing or contact binaries. The strongest pulsation modes of some δ Scuti stars fall on the period–luminosity relation of the fundamental radial mode but many correspond to overtones that are approximately a factor of two higher in frequency. Many of the low-luminosity δ Scuti stars show a series of high-frequency modes with very regular spacings. The fraction of stars in our sample that show δ Scuti pulsations is about 70 per cent for the brightest stars (G &lt; 8), consistent with results from Kepler. However, the fraction drops to about 45 per cent for fainter stars and we find that a single sector of TESS data only detects the lowest amplitude δ Scuti pulsations (around 50 ppm) in stars down to about G = 9. Finally, we have found four new high-frequency δ Scuti stars with very regular mode patterns, and have detected pulsations in λ Mus that make it the fourth-brightest δ Scuti in the sky (G = 3.63). Overall, these results confirm the power of TESS and Gaia for studying pulsating stars.
The untapped potential of phage model systems as therapeutic agents
Authors: Romeyer Dherbey Jordan , Bertels Frederic 
Published: January 2024

Abstract
With the emergence of widespread antibiotic resistance, phages are an appealing alternative to antibiotics in the fight against multidrug-resistant bacteria. Over the past few years, many phages have been isolated from various environments to treat bacterial pathogens. While isolating novel phages for treatment has had some success for compassionate use, developing novel phages into a general therapeutic will require considerable time and financial resource investments. These investments may be less significant for well-established phage model systems. The knowledge acquired from decades of research on their structure, life cycle, and evolution ensures safe application and efficient handling. However, one major downside of the established phage model systems is their inability to infect pathogenic bacteria. This problem is not insurmountable; phage host range can be extended through genetic engineering or evolution experiments. In the future, breeding model phages to infect pathogens could provide a new avenue to develop phage therapeutic agents.
Implementation of a Competency-Based Clinical Tracking Document in an Undergraduate Nursing Program
Authors: Reaves Crista , Martel Michael 
Published: January 2024

Abstract
New nurse graduates are ill prepared to fulfill the roles and responsibilities of being competent, practice-ready registered nurses. This article describes one college of nursing’s journey in the creation of a clinical tracking document (CTD) to track, in real time, essential subbehavior actions that assist students in achieving the four main competencies of assessment, communication, critical thinking, and safety listed on the Creighton Competency Evaluation Instrument. The CTD is an innovative tracking tool used to ensure students are practice-ready and competent upon completion of their nursing program.