bluuebunny/crossref_metadata_2025_split huggingface dataset:
Burn Patients and Mental Health
Authors: Kang-Auger Gabrielle , Borsuk Daniel E. , Low Nancy , Ayoub Aimina , Auger Nathalie , Buteau Stéphane 
Published: March 2024

Objective:
To determine the association between burns and hospitalization for mental health disorders up to three decades later.

Summary Background Data:
Burns are associated with pain, disability, and scarring, but the long-term impact on mental health is unclear.

Methods:
We analyzed a cohort of 23,726 burn patients aged ≥10 years who were matched to 223,626 controls from Quebec, Canada, between 1989 and 2022. The main exposure was admission for a burn. We followed patients during 3,642,206 person-years of follow-up to identify future hospitalizations for psychiatric disorders, substance use disorders, and suicide attempts. We estimated adjusted hazard ratios (HR) with 95% confidence intervals (CI) for the association between burns and subsequent mental health hospitalization using Cox proportional hazards regression.

Results:
Burn patients had 1.76 times greater risk of mental health hospitalization over time (95% CI 1.72-1.81), compared with controls. Associations were present regardless of burn site, but were greatest for burns covering ≥50% of the body (HR 3.29, 95% CI 2.61-4.15), third degree burns (HR 2.04, 95% CI 1.94-2.14), and burns requiring skin grafts (HR 2.00, 95% CI 1.90-2.10). Compared with controls, burn patients had more than two times the risk of hospitalization for eating disorders (HR 3.14, 95% CI 2.50-3.95), psychoactive substance use disorders (HR 2.27, 95% CI 2.17-2.39), and suicide attempts (HR 2.42, 95% CI 2.23-2.62). Risks were particularly elevated within 5 years of the burn, but persisted throughout follow-up.

Conclusions:
Burns are associated with an increased risk of hospitalization for mental health disorders up to 30 years later.
Strong heterologous electron sink outcompetes alternative electron transport pathways in photosynthesis
Authors: Hubáček Michal , Wey Laura T. , Kourist Robert , Malihan-Yap Lenny , Nikkanen Lauri , Allahverdiyeva Yagut 
Published: March 2024

AbstractImprovement of photosynthesis requires a thorough understanding of electron partitioning under both natural and strong electron sink conditions. We applied a wide array of state-of-the-art biophysical and biochemical techniques to thoroughly investigate the fate of photosynthetic electrons in the engineered cyanobacteriumSynechocystissp. PCC 6803, a blueprint for photosynthetic biotechnology, expressing the heterologous gene for ene-reductase, YqjM. This recombinant enzyme catalyses the reduction of an exogenously added substrate into the desired product by utilising photosynthetically produced NAD(P)H, enabling whole-cell biotransformation. Through coupling the biotransformation reaction with biophysical measurements, we demonstrated that the strong artificial electron sink, outcompetes the natural electron valves, the flavodiiron protein-driven Mehler-like reaction, and cyclic electron transport. These results show that ferredoxin-NAD(P)H-oxidoreductase (FNR) is the preferred route for delivering photosynthetic electrons from reduced ferredoxin and the cellular NADPH/NADP+ ratio as a key factor in orchestrating photosynthetic electron flux. These insights are crucial for understanding molecular mechanisms of photosynthetic electron transport and harnessing photosynthesis for sustainable bioproduction by engineering the cellular source/sink balance. Furthermore, we conclude that identifying the bioenergetic bottleneck of a heterologous electron sink is a crucial prerequisite for targeted engineering of photosynthetic biotransformation platforms.Significance statementWe coupled the photosynthetic and biocatalytic (whole-cell biotransformation) performance of model cyanobacteria. We employed a heterologous NAD(P)H utilising enzyme, as a strong artificial electron sink, allowing us to gain a comprehensive understanding of photosynthetic electron partitioning. We demonstrated that the strong electron sink outcompetes natural electron sinks and cyclic electron transport.
Sagittal balance of the spine - lumbar lordosis or lumbosacral lordosis?
Authors: Song Kai , Chi Pengfei , Yang Qiang , Yang Cao , Wang Bing , Li Fangcai , Zhu Zezhang , Li Weishi , Zhang Jianguo , Wang Zheng 
Published: March 2024

AbstractObjectiveTo investigate sagittal spinal alignment from the perspective of the overall curvature of the “S” curve of the human spine, and explore the roles of pelvic incidence (PI) and maximal thoracolumbar vertebral tilt(TLmax) in the classification of the sagittal spinal aligment.MethodsThe tilt of the sacral, lumbar, and thoracic vertebrae (from Co1, S5, S4… to C7) were measured. The minimal sacral vertebral tilt(Smin), maximal thoracolumbar vertebral tilt(TLmax), and minimal thoracic vertebral tilt (Tmin) were recorded. The concept of lumbosacral lordosis (LSL) was introduced, and the Ferguson method was utilized to measure sagittal spinal parameters both in anatomical segmentation (Ferguson L1-S2, Ferguson T1-T12) and functional segmentation (Ferguson LSLmax, Ferguson TKmax). The subjects were grouped based on pelvic incidence (PI) and TLmax separately, and the mean and standard deviation of each parameter were calculated. Chi-square tests were conducted for statistical analysis.Results1. Based on PI grouping: PI for all subjects was 45.4 ± 9.5° (21.7-86.4°). Group A consisted of 117 subjects with a mean PI of 34.7 ± 4.4°, Group B had 158 subjects with a mean PI of 45.2 ± 2.9°, and Group C included 113 subjects with a mean PI of 56.7 ± 5.8°. No statistically significant differences were found in tilt of S2, L1, T1, TLmax, Tmin, and Ferguson L1-S2, Ferguson T1-T12, and Ferguson TKmax among Groups A, B, and C. 2. Based on TLmax grouping: TLmax for all subjects was 110.5 ± 5.5° (94.4-132.0°). Group A had 91 subjects with a mean TLmax of 104.0 ± 2.3°, Group B comprised 216 subjects with a mean TLmax of 110.2 ± 2.1°, and Group C included 81 subjects with a mean TLmax of 118.6 ± 3.8°. Significant statistical differences were observed in tilt of S2, L1, T1, Smin, TLmax, Tmin, and Ferguson L1-S2, Ferguson T1-T12, Ferguson LSLmax, and Ferguson TKmax among Groups A, B, and C.ConclusionThere were no differences in the magnitude of LSL and TK among subjects with different PI, indicating that PI does not affect the overall curvature of the “S” curve in the sagittal spinal aligment. In contrast, TLmax effectively distinguishes the overall curvature of the “S” curve.
The Landscape of RAD51D in Chinese Ovarian Cancer Patients: Prevalence, Correlation with HRD Score, and Correlation with Efficacy
Authors: Sun Tianqi , Zhang Mengpei , Xu Xinyun , Liang Yiming , Chen Jinghong , Li Qingli , Zeng Jing , Li Zhe , Dong Yu , Yin Rutie 
Published: March 2024

ABSTRACTHuman genome is continuously threatened by endogenous and exogeneous sources of DNA damage, DNA damage repair (DDR) mechanisms are vital for genome instability and cancer prevention. Homologous recombination repair (HRR) is one of the most important DDR mechanisms because of its high-fidelity. BRCA1/2 have long been the best characterized HRR genes, but other non-BRCA1/2 HRR genes should not be overlooked. In this study, we illustrate that RAD51D is an important non-BRCA1/2 HRR gene in Chinese ovarian cancer patients, from perspectives including prevalence (2.9% patients mutated in RAD51D, 72.7% of RAD51D mutations were bi-allelic loss-of-function [BILOF]), correlation with HRD score (P=0.295 for RAD51D mutation, P=0.087 for RAD51D BILOF), and correlation with efficacy (progression-free survival: HR=0.685 P=0.069 for RAD51D mutation, HR=0.571 P=0.054 for RAD51D BILOF).
A diverse gut virome fromDrosophila melanogaster
Authors: Ansari Mina Hojat , Staubach Fabian , Alacatli Nurper , Obbard Darren J 
Published: March 2024

AbstractDrosophila melanogasteris not only one of the most important models of antiviral immunity in invertebrates, but is also a powerful model for research of the gut microbiome. Although recent studies have continued to improve our knowledge of the fly gut microbiota, the viral component of the microbiome has remained unexplored. Here we explore the viral component of theDrosophila melanogastergut microbiome using deep metagenomic DNA sequencing. We recovered 3035 phage sequences, resulting in 167 viral Metagenome-Assembled Genomes. The majority of these sequences are potentially novel bacteriophages from the orderCaudovirales, which mainly target major gut bacteria ofD. melanogaster, includingLactobacillus,Acetobacter, andGluconobacter. Our functional annotation and discovery of auxiliary metabolic genes showed that these bacteriophages have the potential to influence microbial metabolism and genetic information processing. We also identified evidence of known fly pathogens Drosophila Kallithea nudivirus, Vesanto bidna-like virus, and Viltain densovirus, some of which were common in our studied populations. Our findings reveal a complex and diverse phage community in theD. melanogastergut microbiome, paving the way to study host-phage related research in the natural microbial communities.
Microbial abundance estimation and metagenomic studies of holcomb creosote superfund site soil sample
Authors: Kishore D.S , Prasantha C.N , Rambabu Majji , Vasudevann Karthick , Dasegowda K.R. 
Published: March 2024

ABSTRACTThe use of genomic sequencing has greatly improved our ability to profile the microbial communities associated with the environment and host. Among the most common applications of metagenomics is assessing microbiome biodiversity. Holcomb Creosote Superfund Site Soil is located in the North Carolina area, 16s metagenomic Sequencing was carried out from the soil of Holcomb Creosote Superfund Site. To describe the taxonomic diversity and functional profiles of this environment, metagenomic DNA sequence was extracted from a metagenomics library generated from the Holcomb Creosote Superfund Site Soil by 16s metagenomic Sequencing. The DNA was shotgun-sequenced using Illumina and analysed using the MG-RAST server. A soil sample from a large metagenomes sequence collection acquired from shotgun sequencing was investigated for Duke University. Overall sequences in the dataset were 1,34,00,509 comprising a total read length of 4,03,05,03,377 base pairs. The categorization of 8 species was based on the analysis of taxonomic data. The metagenome sequence was submitted by Duke University, Alexander McCumber to NCBI database and can be accessed with the SRA accession number SRX8095153. An online metagenome server (MG RAST) using the subsystem database revealed bacteria had the highest diversity profile revealed that the most abundant domain was 92.3% of bacteria, 5.6% of Eukaryota, 0.1 % of viruses, 1.4% of archaea, and 0.6% of unclassified sequences.The most abundant were Firmicutes (20.5%), and Proteobacteria (10.3%) followed by Actinobacteria (18.4%) and Acidobacteria (7.5%). The functional profile showed an abundance of genes related to subsystems (16.9%), carbohydrates (19.5%), cell wall and capsule (6%), miscellaneous (8.8%), protein metabolism (10%), amino acids and derivatives (14.7%), DNA metabolism (3.4%), cofactors, vitamins, prosthetic groups, pigments (9.2%), membrane transport (1.9%), RNA metabolism (4.4%) and fatty acids, lipids, and isoprenoids (3.6%). This dataset is useful in bioprospecting studies with application in biomedical sciences, biotechnology and microbial, population, and applied ecology fields.
Chemotherapy induces myeloid-driven spatial T-cell exhaustion in ovarian cancer
Authors: Launonen Inga-Maria , Erkan Erdogan Pekcan , Niemiec Iga , Junquera Ada , Hincapié-Otero María , Afenteva Daria , Liang Zhihan , Salko Matilda , Szabo Angela , Perez-Villatoro Fernando , Falco Matias M. , Li Yilin , Micoli Giulia , Nagaraj Ashwini , Haltia Ulla-Maija , Kahelin Essi , Oikkonen Jaana , Hynninen Johanna , Virtanen Anni , Nirmal Ajit J. , Vallius Tuulia , Hautaniemi Sampsa , Sorger Peter , Vähärautio Anna , Färkkilä Anniina 
Published: March 2024

SummaryTo uncover the intricate, chemotherapy-induced spatiotemporal remodeling of the tumor microenvironment, we conducted integrative spatial and molecular characterization of 97 high-grade serous ovarian cancer (HGSC) samples collected before and after chemotherapy. Using single-cell and spatial analyses, we identify increasingly versatile immune cell states, which form spatiotemporally dynamic microcommunities at the tumor-stroma interface. We demonstrate that chemotherapy triggers spatial redistribution and exhaustion of CD8+ T cells due to prolonged antigen presentation by macrophages, both within interconnected myeloid networks termed “Myelonets” and at the tumor stroma interface. Single-cell and spatial transcriptomics identifies prominent TIGIT-NECTIN2 ligand-receptor interactions induced by chemotherapy. Using a functional patient-derived immuno-oncology platform, we show that CD8+T-cell activity can be boosted by combining immune checkpoint blockade with chemotherapy. Our discovery of chemotherapy-induced myeloid-driven spatial T-cell exhaustion paves the way for novel immunotherapeutic strategies to unleash CD8+ T-cell-mediated anti-tumor immunity in HGSC.
DNA methylation shows footprints of altitude selection in the clonal plant speciesFragaria vesca
Authors: Le Veve Audrey , Sammarco Iris , Latzel Vít , Placette Clément Lafon 
Published: March 2024

AbstractClimate change threatens plant species, potentially pushing them beyond their adaptive capacities. DNA methylation and other epigenetic modifications may enable rapid adaptation to environmental changes by generating locally adapted phenotypes. These phenotypic changes can be inherited across generations and may become targets of natural selection. However, direct evidence for selection on epialleles remains scarce. Addressing this gap is crucial, as population survival may heavily rely on DNA methylation, especially in clonal plants with limited genetic diversity.We employed population genomics approaches to investigate altitude-driven selection on epigenetic sites in clonal offspring of natural woodland strawberry (Fragaria vesca) populations. These offspring were grown in a common garden and derived from seven populations spanning an altitudinal range.Our genomic, epigenomic, and transcriptomic analyses identified epialleles in clones exhibiting signs of selection related to altitude. These loci overlapped with genes involved in the O-methyltransferase activity, potentially aiding altitude adaptation through enhanced secondary metabolite production. Interestingly, these epialleles were mostly independent of genetic variation, suggesting they may have arisen stochastically or in response to environmental variation.These findings suggest that heritable epigenetic variation could help clonal species quickly adapt to environmental challenges as those related to varying altitudes and/or temperatures.
Microscopic understanding of the in-plane thermal transport properties of
2H
transition metal dichalcogenides
Authors: Farris Roberta , Hellman Olle , Zanolli Zeila , Saleta Reig David , Varghese Sebin , Ordejón Pablo , Tielrooij Klaas-Jan , Verstraete Matthieu Jean 
Published: March 2024

Transition metal dichalcogenides (TMDs) are a class of layered materials that hold great promise for a wide range of applications. Their practical use can be limited by their thermal transport properties, which have proven challenging to determine accurately, both from a theoretical and experimental perspective. We have conducted a thorough theoretical investigation of the thermal conductivity of four common TMDs, MoSe2, WSe2, MoS2, and WS2, at room temperature, to determine the key factors that influence their thermal behavior. We analyze these materials using calculations performed with the program, anharmonic lattice dynamics and the Boltzmann transport equation formalism, as implemented in the temperature-dependent effective potentials method. Within this framework, we analyze the microscopic parameters influencing the thermal conductivity, such as the phonon dispersion and the phonon lifetimes. The aim is to precisely identify the origin of differences in thermal conductivity among these canonical TMD materials. We compare their in-plane thermal properties in monolayer and bulk form, and we analyze how the thickness and the chemical composition affect the thermal transport behavior. We showcase how bonding and the crystal structure influence the thermal properties by comparing the TMDs with silicon, reporting the cases of bulk silicon and monolayer silicene. We find that the interlayer bond type (covalent vs. van der Waals) involved in the structure is crucial in the heat transport. In two-dimensional silicene, we observe a reduction by a factor ∼15 compared to the Si bulk thermal conductivity due to the smaller group velocities and shorter phonon lifetimes. In the TMDs, where the group velocities and the phonon bands do not vary significantly passing from the bulk to the monolayer limit, we do not see as strong a decrease in the thermal conductivity: only a factor 2–3. Moreover, our analysis reveals that differences in the thermal conductivity arise from variations in atomic species, bond strengths, and phonon lifetimes. These factors are closely interconnected and collectively impact the overall thermal conductivity. We inspect each of them separately and explain how they influence the heat transport. We also study artificial TMDs with modified masses, in order to assess how the chemistry of the compounds modifies the microscopic quantities and thus the thermal conductivity.

Published by the American Physical Society
2024
Operational performance of light electric freight vehicles in the last mile: two Nordic case studies
Authors: Arvidsson Niklas , Weir IV Howard Twaddell , Orving Tale 
Published: March 2024

PurposeTo assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries.Design/methodology/approachCase studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups.FindingsThe results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why.Research limitations/implicationsInherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability.Practical implicationsAdding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles.Originality/valueOne novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.
Marketing analytics acceptance: using the UTAUT, perceived trust, personal innovativeness in information technology and user attitude
Authors: Twum Kojo Kakra , Yalley Andrews Agya 
Published: March 2024

Purpose
The use of innovative technologies by firm employees is a key factor in ensuring the competitiveness of firms. However, researchers and practitioners have been concerned about the willingness of technology end users to use innovative technologies. This study, therefore, aims to determine the factors affecting the intention to use marketing analytics technology.

Design/methodology/approach
This study surveyed 213 firm employees. The quantitative data collected was analysed using partial least squares structural equation modelling.

Findings
The results reveal that performance expectancy, facilitating conditions, attitudes and perceived trust have a positive and significant effect on intentions to use marketing analytics. Effort expectancy, social influence and personal innovativeness in information technology were found not to predict intentions to use marketing analytics.

Practical implications
This study has practical implications for firms seeking to enhance the use of marketing analytics technology in developing countries.

Originality/value
This study contributes to the use of UTAUT, perceived trust, personal innovativeness and user attitude in predicting the intentions to use marketing analytics technology.
Mathematical and computational modeling of fats and triacylglycerides
Authors: Cordina Robert J. , Smith Beccy , Tuttle Tell 
Published: March 2024

AbstractFats and oils are found in many food products; however, their macroscopic properties are difficult to predict, especially when blending different fats or oils together. With difficulties in sourcing specific fats or oils, whether due to availability or pricing, food companies may be required to find alternative sources for these ingredients, with possible differences in ingredient performance. Mathematical and computational modeling of these ingredients can provide a quick way to predict their properties, avoiding costly trials or manufacturing problems, while, most importantly, keeping the consumers happy. This review covers a range of mathematical models for triacylglycerides (TAGs) and fats, namely, models for the prediction of melting point, solid fat content, and crystallization temperature and composition. There are a number of models that have been designed for both TAGs and fats and which have been shown to agree very well with empirical measurements, using both kinetic and thermodynamic approaches, with models for TAGs being used to, in turn, predict fat properties. The last section describes computational models to simulate the behavior of TAGs using molecular dynamics (MD). Simulation of TAGs using MD, however, is still at an early stage, although the most recent papers on this topic are bringing this area up to speed.