bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lipopolysaccharide-Mediated Effects of the Microbiota on Sleep and Body Temperature
Authors: Szentirmai Eva , Buckley Katelin , Massie Ashley R. , Kapas Levente 
Published: March 2024

Abstract

Background
Recent research suggests that microbial molecules translocated from the intestinal lumen into the host's internal environment may play a role in various physiological functions, including sleep. Previously, we identified that butyrate, a short-chain fatty acid, produced by intestinal bacteria, and lipoteichoic acid, a cell wall component of gram-positive bacteria induce sleep when their naturally occurring translocation is mimicked by direct delivery into the portal vein. Building upon these findings, we aimed to explore the sleep signaling potential of intraportally administered lipopolysaccharide, a primary component of gram-negative bacterial cell walls, in rats.
Results
Low dose of lipopolysaccharide (1 µg/kg) increased sleep duration and prolonged fever, without affecting systemic lipopolysaccharide levels. Interestingly, administering LPS systemically outside the portal region at a dose 20 times higher did not affect sleep, indicating a localized sensitivity within the hepatoportal region, encompassing the portal vein and liver, for the sleep and febrile effects of lipopolysaccharide. Furthermore, both the sleep- and fever-inducing effects of LPS were inhibited by indomethacin, a prostaglandin synthesis inhibitor, and replicated by intraportal administration of prostaglandin E2 or arachidonic acid, suggesting the involvement of the prostaglandin system in mediating these actions.
Conclusions
These findings underscore the dynamic influence of lipopolysaccharide in the hepatoportal region on sleep and fever mechanisms, contributing to a complex microbial molecular assembly that orchestrates communication between the intestinal microbiota and brain. Lipopolysaccharide is a physiological component of plasma in both the portal and extra-portal circulation, with its levels rising in response to everyday challenges like high-fat meals, moderate alcohol intake, sleep loss and psychological stress. The increased translocation of lipopolysaccharide under such conditions may account for their physiological impact in daily life, highlighting the intricate interplay between microbial molecules and host physiology.
Technological Speciation : Navigating New Needs through Trial and Error – A Rifle Case Study
Authors: Kim Jiyong , Yoon Jungsub , Lee Jeong-Dong 
Published: March 2024

Abstract

Technological speciation is a crucial concept for understanding the emergence of new technologies and describes the adaptation of existing technologies adapt to novel application domains in response to emerging needs. Prior research has primarily utilized case-centered qualitative approaches. While some quantitative studies have been conducted, they have not fully captured the complexity of technological speciation, with the methodologies used for observation also falling short. This study aims to enhance previous discussions by rigorously validating the process of technological speciation, focusing on Levinthal (1998) through empirical evidence, and uncovering the managerial strategic implications observable in the speciation process of emerging technologies. This study emphasizes products as intermediaries between markets and technologies, developing indicators based on the similarity between antecedent and descendant technologies, considering the path dependency of technology, and applying these to real product data. It hypothesizes that significant changes at the inception of these indicators mark the beginning of technological speciation. Analysis reveals that new technologies emerge through an adaptive process, systematically addressing needs through trial and error, with shifts in needs serving as the catalyst. This aligns with detailed discussions in existing qualitative studies on the technological speciation process. This study proposes an analytical method for examining technological speciation by exploring the interaction between markets and technologies from an evolutionary perspective, using product data as a mediator. Additionally, the study highlights the importance for companies aiming to enter new markets of accurately identifying new needs, exploring adjacent technologies, and adopting iterative, small-scale productization strategies to navigate the adaptation process effectively.
JEL : O32, O33
Jaw-opening dystonia in Parkinson’s disease improved by FOslevodopa-foscarbidopa Continuous Subcutaneous (FOCS) infusion
Authors: Okumura Motohiro , Mukai Yohei , Tanimura Jun , Takahashi Yuji 
Published: March 2024

Abstract
Background:
Jaw-opening dystonia (JOD) is an unusual manifestation of Parkinson’s disease (PD) appearing in on-periods or off-periods. We present the case of a PD patient who presented with episodic JOD considered as off- and on-dystonia based on L-dopa concentration and improved by FOslevodopa-foscarbidopa Continuous Subcutaneous (FOCS) infusion.
Case presentation:
A 55-year-old man with a 14-year history of PD was hospitalized for induction of FOCS infusion therapy to control motor complications and wearing-off phenomena. The symptoms of JOD began with mild tightness in the lower jaw, followed by sudden involuntary JOD lasting for a few seconds at off-periods. After initiating the treatment by FOCS infusion, mild JOD appeared, coinciding with a relatively lower level of L-dopa concentration in the afternoon, despite the patient’s relatively good movement symptoms. Optimizing the administration rates of FOCS infusion during the day and night by adding an additional dose resulted in near-complete relief of JOD.
Conclusions:
JOD can occur in both off-dystonia and on-dystonia in PD based on L-dopa concentration and is treatable with FOCS infusion, a new and minimally invasive device-aided therapy.
Adsorption studies of isoxazole derivatives as corrosion inhibitors for mild steel in 1M HCl solution: DFT studies and molecular dynamics simulation
Authors: ROUA Amal , HASSANI Anouar AMEZIANE El , FITRI Asmae , BENJELLOUN Adil TOUIMI , BENZAKOUR Mohammed , MCHARFI Mohammed , TANJI Karim 
Published: March 2024

Abstract

A series of organic compounds derived from isoxazole, namely 4a, 4b, 4c, 4d, 4e, 4f, 4g and 4h were studied as corrosion inhibitors for mild steel in order to investigate the influence of different substitutions on the overall intrinsic properties such as boundary orbital energies (EHOMO, ELUMO), energy gap ∆E, electronegativity χ, absolute hardness η, and softness σ, fraction of transferred electrons ∆N; and local such as natural atomic populations and Fukui indices. For this purpose, theoretical studies have been carried out by the DFT density functional theory at the level of the B3LYP functional and the 6-31G (d,p) basis set. As well as, the simulation study of the molecular dynamics was carried out on the surface of Fe (110) in order to understand in depth, the adsorption behavior of the studied inhibitors. Indeed, in this context, the impact of the different groups in the inhibitors before and after adsorption on the iron surface. The optimized structures, electronic parameters, FMOs, Fukui functions and thermodynamic parameters were evaluated to identify candidates appropriate for application as corrosion inhibitors. The results of the global descriptors of the eight isoxazole derivatives showed that these descriptors are almost similar except for compound 4c, these studied inhibitors act in a similar manner. Moreover, the molecular dynamics results also discovered that these inhibitors represent a better reactivity as a result of the negative value of the adsorption energy of all the studied compounds which shows that, these adsorbed systems are more stable and stronger. The results of the dynamic descriptors found by MDS were in excellent coherence with the quantum study results.
Seaweed inhibition to Vibrio and influences on the microbial communities
Authors: Liang Sijie , Zhang Shuangshuang , Lin Wei , Yao Jianting , Duan Delin 
Published: March 2024

Abstract

Vibrio can cause the diseases occurrence to marine aquaculture species when under unfavorable conditions. Here in this study, the high dissolved oxygen and high pH produced by seaweeds exhibited inhibitions on Vibriogrowth, and its inhibiting effects on Vibrio were varied with dissolved oxygen and pH value in the seawater. When co-cultured with seaweeds, the diversity of marine microorganisms decreased dramatically. The survival rate of the microorganisms diminishes with high dissolved oxygen and high pH value. High dissolved oxygen and high pH produced by the seaweeds could inhibit Vibrio, it provides references for mixed culture of aquatic animals and seaweeds. The influence of seaweeds on microorganisms provides an possibilities for seaweeds remediation to ecological aquaculture system in the future.
Array-based specific classification of bacterial species via the redox state transition of riboflavin
Authors: Li Xizhe , Xue Pengxin , Li Bingyu , Liu Ruirui , Fu Tao , Gao Jie , Zhang Lianbing , Wu Yayan 
Published: March 2024

Abstract
We observed redox state transitions of riboflavin (Rf) upon incubation with gram-positive (G+) or gram-negative (G-) bacteria. The consequent transitions based on the proton-coupled electron transfer (PCET) reaction alters the reducibility and oxidability of Rf, providing a novel mechanism for specific classification of G- and G+ bacterial species and discrimination of different bacterial strains. Thus, a colorimetric/fluorometric sensor array based on silver nanotriangles (AgNTs) and Rf was established, offering dosimetric identification of 14 bacterial and 12 mixed bacterial samples. G- and G+ bacteria could be easily classified by the color change in AgNTs; different bacterial strains were also well discriminated via the fluorescent variation of Rf. This rapid and efficient sensor array with dual detection modalities provides a biochemical mechanism for the rapid differentiation of bacterial species and strains and presents potential applications in both clinical microbiology and bacteriology.
Comparative Analysis of algorithm for big data classification
Authors: Singh Shashi Pal , Tiwari Ritu , Sharma Sanjeev 
Published: March 2024

Abstract
In today’s scenario where a vast amount of text, images and documents are sent and received mostly of which the data in unstructured textual form. We observe that every minute of the day a large amount of data is stored. This huge amount of data needs to be process which is impossible for human being to do it. The purpose of this comparative analysis is to reduce the classification errors using various algorithms by estimating the distribution of class by using vectors. Nowadays, to acquire meaningful, useful data from the vast variety of textual and documented data present it is necessary and viable to build techniques and algorithm better than before. Hence, in order to get interesting and needful information we use model classification, evolution and regression. The data is collected from records or created or taken from the organization to create the database then the pre-processing of data is done so that various classification algorithms can be applied and can be compared on the basis of precision, efficiency, accuracy, ROC curve and missing values and different results can be predicted to solve the problems.
Bioremediation of Nitrate in Agricultural Drainage Ditches: Impacts of Low-Grade Weirs on Microbiomes and Nitrogen Cycle Gene Abundance
Authors: Wang Hao , Strock Jeffrey , Ranaivoson Andry , Ishii Satoshi 
Published: March 2024

Abstract

Artificial drainage is essential for the success of modern agriculture, but it can also accelerate the movement of nutrients, especially nitrate, from soil to surrounding and downstream water bodies. Reduction of nitrate from agricultural drainage through the use of controlled drainage systems, such as ditches installed with low-grade weirs, has been shown to help reduce nutrient loading into watersheds. However, the effect of weir-installed ditch varies a lot, likely due to microbial structures and functions in the ditch. In this study, we analyzed the temporal and spatial dynamics of microbiomes in the weir-installed and uninstalled (control) ditches over two years by using the 16S rRNA gene amplicon sequencing and the high-throughput quantitative PCR targeting various N cycle-associated genes [the Nitrogen Cycle Evaluation (NiCE) chip]. The installation of the low-grade weir had a significant impact on the microbiome structure and the distribution of denitrifiers. Specifically, microbiome structures were different between the ditch inlets to the outlets. Denitrification functional genes were also more abundant in the inlet than in the other locations and in the channel installed with a low-grade weir. The ditch microbiomes sampled during high-flow seasons (i.e., spring and fall) exhibited greater similarity to each other than microbiomes sampled during low-flow seasons (i.e., summer). Taken together, this study indicates that the low-grade weirs have the potential to foster a more favorable environment for denitrifiers, resulting in an increase in the abundance of denitrification functional genes. These findings could offer valuable insights into system management and optimization strategies.
Open resection of 24 patients with diffuse tenosynovial giant cell tumor of the ankle and evaluation of long-term follow-up
Authors: Zhang Hanwen , Deng Wei , Zhou Qingsong , Yin Yong 
Published: March 2024

Abstract

Background: Ankle tendon sheath giant cell tumor (TSGCT) is one of the ankle's most common soft tissue tumors. Among these tumors, diffuse tendon sheath giant cell tumor (D-TSGCT) has a low incidence rate but a high treatment recurrence rate and often affects ankle joint function and quality of life. The present study investigated patients' clinical characteristics, recurrence rate, complications, and postoperative function.
Methods: Twenty-four patients treated with open resection of ankle D-TSGCTs between 2011 and 2018 were retrospectively analyzed. Basic patient information, clinical case information, lesion site, treatment method, recurrence rate, function, and other evaluations were collected. The follow-up period ranged from 60-113 months, with a mean of 75.7 months.
Results: Of the 24 patients, 10 (41.7%) were male and 14 (58.3%) were female. The mean age was 36.5 years (range 24-53 years). The most common symptom was a palpable mass, followed by a visit to the clinic (54.2%), and the second most common symptom was ankle swelling and discomfort (29.2%). Postoperatively, 4 patients (17%) experienced pain in the surgical area, and 3 patients (12.5%) experienced ankle instability. Tumor recurrence was observed in 5 of 24 patients (21%).The American College of Foot and Ankle Surgeons (AOFAS) score (preoperative, 78.5±5.6; postoperative, 85.8±5.0; P<0.0001) was significantly different from the Musculoskeletal Tumor Society (MSTS) score (preoperative, 66.8±9%; postoperative, 84.6±8.8%; P<0.0001)—the ankle joint functional assessment scale (AJFAT) score (preoperative, 34.0±4.1; postoperative, 33.1±5.8%; P=0.1187). The difference between the Foot and Ankle Function Scale (FAAM) score and physical activity score was not statistically significant (preoperative, 76.1±4.5; postoperative, 76.9±4.4; preoperative, 23.8±2.5; and preoperative, 25.0±2.9; P>0.05).
Conclusions: Surgical treatment of ankle D-TSGCT requires clearing the location of the lesion and the degree of diffusion and selecting an appropriate surgical approach to maximize the preservation of ankle function while reducing the recurrence rate. However, complete resection by the naked eye alone may destroy ankle joint stability, and postoperative follow-up and rehabilitation training should be considered.
Space rather than vegetation heterogeneity is responsible for structuring dragonfly assemblage at lentic water bodies in Brazilian subtropical grassland
Authors: Vareira Luísa , Ortega Jean Carlo Gonçalves , Juen Leandro , Sendoya Sebastian Felipe , Iserhard Cristiano Agra 
Published: March 2024

Abstract

For more than six decades, ecologists have been investigating how biological communities are structured and the implications for conservation. The Niche and Island Biogeography theories stand out as the basis for predictions related to diversity-environmental heterogeneity and diversity-area relationships, respectively. Although positive relationships are expected, the relative roles of environmental heterogeneity (EH) and area in structuring tropical lentic water body assemblages remain unclear, particularly for dragonflies. This knowledge shortfall is one of the factors which potentially limit biodiversity conservation. We sought to investigate the effects of area and EH, expecting that there would be a positive influence on dragonfly species richness and abundance. We sampled dragonfly adults for three months in 12 water bodies in the Pampa biome of Rio Grande do Sul, Brazil. We quantified water body area and vegetation cover (trees, plantations, shrubs, herbs, and aquatic plants), as an EH measure to evaluate how these predictors explained dragonfly species richness and abundance. We found that the water body area, but not EH, was relevant to dragonfly diversity. This indicates that dragonflies may perceive the vegetation as homogeneous and thus move across the landscape without barriers that would hinder new habitat colonization. Therefore, the structure of dragonfly assemblages at lentic water bodies in Pampas grasslands was more influenced by water body area than environmental heterogeneity.
Assessing COVID-19 Vaccine Effectiveness in Frail Long-Term Care Facilities Residents in a Middle-Income Country
Authors: de Alvarenga Joice Coutinho , de Moraes Flávia Lanna , de Carvalho Jáder Freitas Maciel Garcia , Santos Rodrigo Ribeiro dos , Tupinambás Unaí , de Moraes Edgar Nunes 
Published: March 2024

Abstract
Background: During the COVID-19 pandemic, individuals residing in long-term care facilities (LTCF) are particularly vulnerable to adverse outcomes due to their higher rates of frailty, disabilities, cognitive impairment, dementia, and chronic illnesses. In low and middle-income nations, research on immunizing frail populations is lacking, while most studies on COVID-19 in LTCF come from wealthier nations and may not fully capture the situation in emerging countries.
Methods: We aimed to evaluate the effectiveness of first, second and third COVID-19 vaccine doses, against infections, hospitalizations, and deaths, and their association with frailty, age, sex and chronic disease, among older adults, in a social vulnerability context. This retrospective cohort study, comprises a total of 712 older adults, in a social vulnerability context, of 29 LTCF, in Brazil. Continuous variables were described by medians and interquartile ranges and categorical variables were represented by absolute and relative frequencies. The Mann-Whitney test was used. For evaluating the relation between categorical variables, Pearson's chi-square test was used. When comparing proportions, the Z test of proportion was applied. A significance level of 5% was considered.
Results: Median age was 81.37 years, 72.8% were female, 94.61% were frail, 79.97% had a cognitive impairment, 69.54% had a mobility impairment, 78.37% have, at least, one chronic disease and 72.73% use five or more medications per day. Before the vaccine, mobility impairment was associated with great contamination rates (p=.03); frailty (p=.02) and previous pulmonary disease (p=.03) with symptoms of gravity; frailty (p=.02), pulmonary disease (p=.04) and male sex (p=.02) with emergency care or hospital admission. After the third vaccine dose, only frailty remains associated with admissions (p=.03). The number of positive cases (p=.001), symptomatic patients (p<.001), admissions (p=.001) and deaths (p<.001) were substantially reduced after the three vaccine doses.
Conclusions and Implications: Even in a frail population, the vaccine was effective, in the reduction of positive cases, the number of symptomatic patients, admission to emergency or hospital care and deaths. Before the vaccine, frailty, previous pulmonary disease and male sex were associated with worse outcomes. After the vaccine, frailty remains associated with a major number of admissions.
UMSSNet: A Unified Multi-Scale SegmentationNetwork for Heterogeneous Medical Images
Authors: Xu Zerui , Chen Dechao , Gong Wenyan 
Published: March 2024

Abstract

Medical image analysis plays a pivotal role in diagnosis and treatment. However, the diverse characteristics of various imaging modalities often demand distinct processing approaches. In this study, we introduce UMSSNet, a versatile method for medical image segmentation that leverages data from heterogeneous medical images across different scales. By utilizing Gaussian pyramid-based image processing techniques, we transform the heterogeneous medical images into a uniform multi-scale image structure. Subsequently, UMSSNet integrates multiscale image features, encompassing contextual information, and adopts a dynamic and hierarchical approach to process images at various scales, emulating the decision-making process of human pathologists and facilitating precise image segmentation. We tested UMSSNet on publicly available datasets consisting of various forms of medical images, including WSI, Biopsy slides, CT, MRI, X-ray, Colonoscopy, Fundus, and CMR, as well as private datasets of Immunohistochemical staining, Immunofluorescence staining, and Masson staining sample images. UMSSNet demonstrated performance comparable to state-of-the-art medical image segmentation methods Furthermore, the generalizability of UMSSNet in segmenting heterogeneous medical images holds promise for future research in the analysis of multimodal medical data.
Investigating the Causal Relationship between Immune Cell Phenotypes and Pancreatic Cancer Risk: A Mendelian Randomization Study
Authors: Chai Weihao , Huang Kairui , Li Jiajia , Guo Fei , Wu Yizhan , Liu Jiangwei 
Published: March 2024

Abstract
Background
Pancreatic cancer (PC) is a highly lethal malignancy with poor clinical prognosis, whose development is associated with genetic and environmental factors. The immunophenotype, referring to the immune-related molecular markers on the surface of tumor cells, significantly impacts the progression, development, and treatment response of PC.
Objective
This study employed a two-sample Mendelian randomization (MR) bidirectional analysis to explore the association between immunophenotype and the risk of PC.
Methods
We collected datasets on 731 immune cells associated with PC from the Finngen database and GWAScatalog database. Reverse-variance weighted (RVW), weighted median (WM), and MR-Egger methods were applied to analyze the causal relationship between immune cells and PC. Cochran's Q test, MR-Egger regression, MR-PRESSO, and Leave-one-out methods were used to evaluate the stability and reliability of the study results.
Results
After bidirectional FDR correction, we found no statistically significant impact of PC on the immunophenotype. However, when investigating the causal effect of immunophenotype on PC, we found that among four immunophenotype categories (MFI, RC, AC, MP), 26 immune phenotypes were causally associated with PC (P < 0.05). Among these, seven immune phenotypes could significantly inhibit the occurrence and development of PC (IVW ≥ 0.05, OR ≥ 1), while another 19 immune phenotypes might lead to the incidence of PC (IVW < 0.05, OR < 1).
Conclusion
This study preliminarily reveals the causal relationship between immune cells and pancreatic cancer from a genetic perspective, providing an important theoretical basis for precision medicine and individualized treatment in the future.