bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic association between suicidal ambivalence and suicide risk among individuals with a history of suicide attempts
Authors: Fartacek Clemens , Fartacek Reinhold , Schiepek Günter K. , Sturm Josef , Aichhorn Wolfgang , Plöderl Martin 
Published: June 2024

AbstractObjectiveSuicide risk is highly fluctuating. There is a need for predictors of short‐term change in suicide risk to optimize risk assessment and treatment, especially among individuals who already attempted suicide.MethodsBased on 1776 daily assessments of 16 former psychiatric inpatients with a history of suicide attempts, we examined how suicidal ambivalence and, respectively, wish to die (WTD) and wish to live (WTL) predicted same‐day and change in perceived suicide risk (i.e., next‐day perceived suicide risk, controlled for same‐day perceived suicide risk) in multilevel regression models. Additionally, based on the assumptions of nonlinear dynamics, we examined the associations between levels of fluctuations in the WTD/WTL and perceived suicide risk within the same time period.ResultsSuicidal ambivalence, WTD, and a WTL significantly correlated with same‐day suicide risk. Suicidal ambivalence and WTD significantly predicted change in suicide risk. Fluctuations in WTD were significantly associated with concurrent suicide risk.ConclusionThe results suggest that suicidal ambivalence and WTD are drivers of suicide risk among individuals who already attempted suicide. The association between fluctuations in WTD and suicide risk was small and warrants further investigation on the practical utility as a warning sign.
Gratitude and depressive symptoms in Chinese nurses: From a self‐determination theory perspective
Authors: Hao Yuanyuan , Bai Chengzhi , Wang Tianyi , Zhang Caiyan , Ye Ying , Zhao Jingjing , Kong Feng 
Published: June 2024

AbstractBackgroundA common psychological problem among nurses is depression, potentially affecting their well‐being and job performance. It is vital to explore how to alleviate nurses' depressive symptoms.AimThe current research explored the mediating impact of basic psychological needs satisfaction on the link of gratitude with depressive symptoms.MethodsThe nurses in this study were from mainland China. A total of 724 subjects completed an online questionnaire, which included measures of depressive symptoms, basic psychological needs satisfaction and gratitude.ResultsOur research found that gratitude was negatively linked to depressive symptoms. Furthermore, basic psychological needs satisfaction had a partial mediation effect on the link of gratitude with depressive symptoms after controlling for five demographic variables. These results suggest that gratitude may influence depressive symptoms via basic psychological needs satisfaction.Linking Evidence to ActionOur study found that basic psychological need satisfaction partially mediates the gratitude‐depression relationship in nurses. The result means that hospital administrators and nurse leaders should design gratitude interventions to alleviate nurses' depressive symptoms. They also help nurses decrease depressive symptoms by creating an environment that meets their basic psychological needs.
Frugal Engineering
Authors: Malshe Ajay P. , Bapat Salil , Fischer Lukas 
Published: June 2024

Abstract
In recent decades, engineers have been studying examples from biology to inform industrial product designs. Biology has had millions of years to find elegant solutions under severe resource constraints, so it is prudent to examine natural systems to look for concepts to adapt for human purposes for resiliency. The common thread for both bio-inspired design and social enterprises is frugality—maximizing the use of available capital resources while delivering effective outcomes. For engineers at work in the 21st century, an emphasis on frugal engineering could provide multiple advantages.
Precise Enough For Outer Space
Authors:   Mechanical Engineering Magazine staff
Published: June 2024

Abstract
For manufacturers, the ability to produce parts from designs reliably is critical. Because simple blueprints don’t convey enough information, Geometric Dimensioning and Tolerancing, or GD&T, has become a standard symbolic language for communicating properties such as form, location, orientation, size, and function. The ASME Video Production Team recently visited GT Machine and Tool Co. in Long Island City, N.Y., to talk with company president Dean Theodos about how GD&T enabled its machine shop to produce all kinds of parts.
Influence of Propeller–Ice Loads on the Wear Development in Stern Tube Bearings of Marine Propulsion Systems and Identification of Critical Operating Conditions
Authors: Gilges Markus , Saleh Ahmed , Bekker Anriëtte , Jain Mohit , Lehmann Benjamin , Jacobs Georg 
Published: June 2024

Abstract
Increasing ship traffic in ice-covered waters leads to more frequent collisions between ship propellers and sea ice which causes extreme impulse loads on the propeller. These loads are transferred through the propeller shaft to the sliding bearings of the stern tube, especially, the aft stern tube bearings. Extreme bearing loads can lead to mixed friction regimes that cause wear in the bearings and eventually result in a failure of the entire propulsion system. The effect of ice-induced loads on the contact conditions in the sliding bearings is widely unknown. Thus, a study of the influence of these loads on the contact conditions and wear behavior in stern tube bearings resulting from observed sea ice conditions and operating conditions of the ship is necessary. This article aims to investigate the influence of ice collision loads on the contact conditions in the bearings of the stern tube of the research vessel SA Agulhas II. For this purpose, an elastohydrodynamic simulation and a multibody simulation based on field measurements were performed. As a result, this article identifies the operating condition thresholds (i.e., propeller torque and rotational speed) during propeller–ice collisions that cause mixed friction conditions in the bearings. On the basis of these conditions, a risk map is generated to assess the actual wear risk by including the frequency of occurrence of the corresponding mixed friction condition over the duration of a voyage.
Continuous-Time Algebraic Riccati Equation Solution for Second-Order Systems
Authors: Srinivas Neeraj , Sultan Cornel 
Published: June 2024

Abstract
The continuous-time algebraic Riccati equation (ARE) is often utilized in control, estimation, and optimization. For a linear system with a second-order structure of size n, the ARE required to be solved to get the control values in standard control problems results in complex subequations in terms of the second-order system matrices. The computational costs of solving the algebraic Riccati equation through standard methods such as the Hamiltonian matrix pencil approach increase substantially as matrix sizes increase for a second-order system, due to the eigendecomposition of the 2n×2n system matrices involved. This work introduces a new solution that does not require the eigendecomposition of the 2n×2n system matrices, while satisfying all of the requirements of the solution to the Riccati equation (e.g., detectability, stabilizability, and positive semidefinite solution matrix).
Co-Packaged Optics—Heterogeneous Integration of Photonic Integrated Circuits and Electronic Integrated Circuits
Authors: Lau John H. 
Published: June 2024

Abstract
The trends in co-packaged optics (CPO) will be investigated in this study. Emphasis is placed on the heterogeneous integration of photonic integrated circuit (PIC) and electronic IC (EIC). In particular, two-dimensional (2D) and three-dimensional (3D) heterogeneous integration of application specific IC (ASIC) switch, PIC, and EIC w/o bridges, and heterogeneous integration of ASIC switch, PIC, and EIC on glass substrate will be discussed. Some recommendations will be provided.
A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data
Authors: Perez-Raya Isaac , Gutierrez Carlos , Kandlikar Satish 
Published: June 2024

Abstract
Early detection is the most effective defense against breast cancer. Mammography is a well-established X-ray-based technique that is used for annual or biennial screening of women above age of 40. Since the dense breast tissue sometimes obscures the cancer in an X-ray image, about 10% of screened women are recalled and undergo additional adjunctive modalities, such as ultrasound, digital breast tomosynthesis, or magnetic resonance imaging. These modalities have drawbacks such as additional radiation dosage, overdiagnosis, and high cost. A new concurrent multispectral imaging approach was recently presented to eliminate the high recall rates by utilizing the breast surface temperature data with an inverse physics-informed neural network algorithm. This method utilizes the bioheat transfer modeling as the governing physics equations and conducted inverse heat transfer modeling using infrared temperatures to predict the presence of a tumor heat source. Validation of the predicted tumor size and location was conducted on a biopsy-proven breast cancer patient using infrared temperature data captured of the breast surface and pathology reports. A regression analysis between the predicted temperatures and infrared temperatures showed a coefficient of determination of 0.98. The absolute error in the predicted tumor size was 0.4 cm and the maximum absolute error in tumor location was 0.3 cm. The proposed approach shows promising results and performance. However, additional testing with more patients is required to quantify the standard deviation in the prediction and establish the sensitivity and specificity of the machine learning technique.
The Impact of Roughness and Partitions in Thermal Convection to Enhance the Heat Transport
Authors: Kar Prabir Kumar , Chetan Ujjwal , Sahu Toshan Lal , Sharma Abhishek , Dhopeshwar Saurabh , Das Prasanta Kumar , Lakkaraju Rajaram 
Published: June 2024

Abstract
In this investigation, we explore the profound impact of adiabatic partitions on heat transport within a square Rayleigh-Bénard (RB) convection enclosure characterized by surface roughness on the lower hot and upper cold plates. The surface irregularities take the form of a rectangular base and a triangular apex. Our study employs two-dimensional direct numerical simulations spanning the Rayleigh number (Ra) range of 106–108 and a Prandtl number (Pr) of 1. Adiabatic partitions, strategically positioned between successive roughness, serve as the focal point of our exploration. Remarkably, our findings reveal a substantial enhancement in heat transport with the introduction of a partition board between consecutive roughness elements. As we escalate the number of partitions from one to four, the heat flux experiences a notable augmentation, reaching 2.3 times that of the classical square RB configuration. This enhancement is attributed to the breakdown of large-scale rolls into multiple rolls, a phenomenon intensified by the increased partition height. Further intriguing observations unfold as we investigate the interplay of surface roughness and partitions. Configurations featuring roughness with partitions exhibit an impressive 2.7 times heat flux enhancement compared to the classical square RB setup. The complex interplay of heat transport improvement is closely connected to optimizing the distance between the conduction plate and the partition. Through meticulous analysis, we identify that the optimal gap facilitates heightened local velocity, effectively thinning the thermal boundary layer and consequently augmenting the overall heat flux. In essence, our study sheds light on the synergistic effects of adiabatic partitions and surface roughness in the context of RB convection. The observed enhancements in heat transport underscore the potential for tailored design strategies involving partitions and surface modifications to optimize thermal performance in diverse applications.
Antibody responses after sequential vaccination with PCV13 and PPSV23 in patients with moderate to severe plaque psoriasis under immunosuppressive therapy
Authors: Helmer Lorena , van de Sand Lukas , Wojtakowski Thea , Otte Mona , Witzke Oliver , Sondermann Wiebke , Krawczyk Adalbert , Lindemann Monika 
Published: June 2024

ABSTRACT

A crucial step in lowering the risk of invasive pneumococcal illness in high-risk populations, such as individuals with plaque psoriasis, is pneumococcal vaccination. The serologic response to the sequential vaccination with Prevenar 13 (PCV13) and Pneumovax 23 (PPSV23) in psoriasis patients under immunosuppressive therapy is still poorly characterized despite national recommendations suggesting vaccination for immunocompromised patients. In this prospective study, we investigated the serological response in 57 patients under active systemic treatment for moderate to severe plaque psoriasis who underwent sequential vaccination with PCV13 followed by PPSV23. Our analysis focused on global and serotype-specific anti-pneumococcal antibody responses over a 7-month period post-vaccination. Our findings reveal a robust serological response in patients with plaque psoriasis under systemic therapy. When comparing our results with a cohort of kidney transplant recipients who completed a similar sequential vaccination protocol, psoriasis patients showed higher antibody concentrations. In psoriasis patients, the mean levels of all global antibody classes tested (IgG, IgG2, IgA, IgM) increased more than 4-fold (
P
< 0.0001) and serotype-specific antibodies more than 1.9-fold (
P
< 0.01). In addition to providing strong evidence of the safety and effectiveness of sequential pneumococcal vaccination in individuals with plaque psoriasis, our work sheds light on the complex interactions that exist between immunosuppressive treatment, vaccination schedule, and antibody responses in various risk groups.

IMPORTANCE

To protect against severe courses of infection with
Streptococcus pneumoniae
, the national guidelines recommend sequential vaccination for these patients. However, there are only studies on the efficacy of a single administration of these vaccines in this particular risk group. The immunological responses to the vaccine were correlated with clinical patient data. In summary, our study shows for the first time that sequential vaccination is immunogenic in patients with moderate to severe plaque psoriasis.
Candida albicans
and
Candida glabrata
: global priority pathogens
Authors: Katsipoulaki Myrto , Stappers Mark H. T. , Malavia-Jones Dhara , Brunke Sascha , Hube Bernhard , Gow Neil A. R. 
Published: June 2024

SUMMARY

A significant increase in the incidence of
Candida
-mediated infections has been observed in the last decade, mainly due to rising numbers of susceptible individuals. Recently, the World Health Organization published its first fungal pathogen priority list, with
Candida
species listed in medium, high, and critical priority categories. This review is a synthesis of information and recent advances in our understanding of two of these species
—Candida albicans
and
Candida glabrata
. Of these,
C. albicans
is the most common cause of candidemia around the world and is categorized as a critical priority pathogen.
C. glabrata
is considered a high-priority pathogen and has become an increasingly important cause of candidemia in recent years. It is now the second most common causative agent of candidemia in many geographical regions. Despite their differences and phylogenetic divergence, they are successful as pathogens and commensals of humans. Both species can cause a broad variety of infections, ranging from superficial to potentially lethal systemic infections. While they share similarities in certain infection strategies, including tissue adhesion and invasion, they differ significantly in key aspects of their biology, interaction with immune cells, host damage strategies, and metabolic adaptations. Here we provide insights on key aspects of their biology, epidemiology, commensal and pathogenic lifestyles, interactions with the immune system, and antifungal resistance.
Bacterial genomes recovered from litter’s metagenomes in Amazonian Dark Earths
Authors: Freitas Anderson Santos de , Zagatto Luís Felipe Guandalin , Rocha Gabriel Silvestre , Pellegrinetti Thierry Alexandre , Alves Letícia de Cássia Malho , Lara Vitor Moreira de , Mandro Jéssica Adriele , Martins Guilherme Lucio , Muniz Aleksander Westphal , Hanada Rogério Eiji , Würdig Roesch Luiz Fernando , Tsai Siu Mui 
Published: June 2024

ABSTRACT

Here, we report 27 metagenome-assembled bacterial genomes (MAGs) from litter samples of a secondary forest located in Brazil over an Amazonian Dark Earth pool. The data set includes members from the phyla Pseudomonadata (14 MAGs), Actinomycetota (7 MAGs), Bacteroidota (4 MAGs), Bacillota (1 MAG), and Bdellovibrionota (1 MAG).
Host tracheal and intestinal microbiomes inhibit
Coccidioides
growth
in vitro
Authors: Tejeda-Garibay Susana , Zhao Lihong , Hum Nicholas R. , Pimentel Maria , Diep Anh L. , Amiri Beheshta , Sindi Suzanne S. , Weilhammer Dina R. , Loots Gabriela G. , Hoyer Katrina K. 
Published: June 2024

ABSTRACT

Coccidioidomycosis, also known as Valley fever, is a disease caused by the fungal pathogen
Coccidioides
. Unfortunately, patients are often misdiagnosed with bacterial pneumonia, leading to inappropriate antibiotic treatment. The soil
Bacillus subtilis
-like species exhibits antagonistic properties against
Coccidioides in vitro
; however, the antagonistic capabilities of host microbiota against
Coccidioides
are unexplored. We sought to examine the potential of the tracheal and intestinal microbiomes to inhibit the growth of
Coccidioides in vitro
. We hypothesized that an uninterrupted lawn of microbiota obtained from antibiotic-free mice would inhibit the growth of
Coccidioides,
while partial
in vitro
depletion through antibiotic disk diffusion assays would allow a niche for fungal growth. We observed that the microbiota grown on 2×GYE (GYE) and Columbia colistin and nalidixic acid with 5% sheep’s blood agar inhibited the growth of
Coccidioides
, but microbiota grown on chocolate agar did not. Partial depletion of the microbiota through antibiotic disk diffusion revealed diminished inhibition and comparable growth of
Coccidioides
to controls. To characterize the bacteria grown and identify potential candidates contributing to the inhibition of
Coccidioides
, 16S rRNA sequencing was performed on tracheal and intestinal agar cultures and murine lung extracts. We found that the host bacteria likely responsible for this inhibition primarily included
Lactobacillus
and
Staphylococcus
. The results of this study demonstrate the potential of the host microbiota to inhibit the growth of
Coccidioides in vitro
and suggest that an altered microbiome through antibiotic treatment could negatively impact effective fungal clearance and allow a niche for fungal growth
in vivo
.

IMPORTANCE
Coccidioidomycosis is caused by a fungal pathogen that invades the host lungs, causing respiratory distress. In 2019, 20,003 cases of Valley fever were reported to the CDC. However, this number likely vastly underrepresents the true number of Valley fever cases, as many go undetected due to poor testing strategies and a lack of diagnostic models. Valley fever is also often misdiagnosed as bacterial pneumonia, resulting in 60%–80% of patients being treated with antibiotics prior to an accurate diagnosis. Misdiagnosis contributes to a growing problem of antibiotic resistance and antibiotic-induced microbiome dysbiosis; the implications for disease outcomes are currently unknown. About 5%–10% of symptomatic Valley fever patients develop chronic pulmonary disease. Valley fever causes a significant financial burden and a reduced quality of life. Little is known regarding what factors contribute to the development of chronic infections and treatments for the disease are limited.
Utilizing co-abundances of antimicrobial resistance genes to identify potential co-selection in the resistome
Authors: Martiny Hannah-Marie , Munk Patrick , Brinch Christian , Aarestrup Frank M. , Calle M. Luz , Petersen Thomas N. 
Published: June 2024

ABSTRACT

The rapid spread of antimicrobial resistance (AMR) is a threat to global health, and the nature of co-occurring antimicrobial resistance genes (ARGs) may cause collateral AMR effects once antimicrobial agents are used. Therefore, it is essential to identify which pairs of ARGs co-occur. Given the wealth of next-generation sequencing data available in public repositories, we have investigated the correlation between ARG abundances in a collection of 214,095 metagenomic data sets. Using more than 6.76∙10
8
read fragments aligned to acquired ARGs to infer pairwise correlation coefficients, we found that more ARGs correlated with each other in human and animal sampling origins than in soil and water environments. Furthermore, we argued that the correlations could serve as risk profiles of resistance co-occurring to critically important antimicrobials (CIAs). Using these profiles, we found evidence of several ARGs conferring resistance for CIAs being co-abundant, such as tetracycline ARGs correlating with most other forms of resistance. In conclusion, this study highlights the important ARG players indirectly involved in shaping the resistomes of various environments that can serve as monitoring targets in AMR surveillance programs.

IMPORTANCE
Understanding the collateral effects happening in a resistome can reveal previously unknown links between antimicrobial resistance genes (ARGs). Through the analysis of pairwise ARG abundances in 214K metagenomic samples, we observed that the co-abundance is highly dependent on the environmental context and argue that these correlations can be used to show the risk of co-selection occurring in different settings.
Influence of Lipid Conformations on the Interaction Energy between a Membrane and a Peripheral Protein
Authors: Volynsky P. E. , Alekseeva A. S. , Boldyrev I. A. 
Published: June 2024

Peripheral membrane proteins are temporarily coupled to the surface of a membrane, penetrating into the lipid layer. In this work, it has been shown that the fraction of trans configurations of dihedral angles in hydrophobic chains of lipids decreases in the region of contact of peripheral membrane proteins with the membrane. This effect differs for different lipid chains and for dihedral angles at different distances from the beginning of a chain. A gosh configuration has a higher energy than a trans configuration. Consequently, the decrease in the fraction of trans configurations leads to an increase in the energy of the chain. The energy of chain conformations for the peripheral membrane protein considered in this work increases by ≈2 kJ/mol. A chain in chain conformations is involved in molecular mechanisms determining the elastic modulus of membranes. The energy stored in a conformation chain can be spent to the desorption of protein from the surface of the membrane and can be considered as a reason why the interaction of peripheral membrane proteins with the membrane is temporal.