bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-inflammatory effects of the prostaglandin D2/prostaglandin DP1 receptor and lipocalin-type prostaglandin D2 synthase/prostaglandin D2 pathways in bacteria-induced bovine endometrial tissue
Authors: Wu Jindi , Bai Fan , Mao Wei , Liu Bo , Yang Xiaolin , Zhang Jing , Li Tingting , Borjigin Gerelt , Cao Jinshan 
Published: November 2022

AbstractDairy cows often develop different degrees of endometritis after calving and this is attributed to pathogenic bacterial infections such as by Escherichia coli and Staphylococcus aureus. Infection of the bovine endometrium causes tissue damage and increases the expression of prostaglandin D2 (PGD2), which exerts anti-inflammatory effects on lung inflammation. However, the roles of PGD2 and its DP1 receptor in endometritis in cows remain unclear. Here, we examined the anti-inflammatory roles of the lipocalin-type prostaglandin D2 synthase (L-PGDS)/PGD2 and DP1 receptor regulatory pathways in bovine endometritis. We evaluated the regulatory effects of PGD2 on inflammation and tissue damage in E. coli- and S. aureus-infected bovine endometrial cells cultured in vitro. We found that the secretion of pro-inflammatory cytokines interleukin (IL)-6, IL-1β, and tumour necrosis factor (TNF)-α as well as expression of matrix metalloproteinase (MMP)-2, platelet-activating factor receptor (PAFR), and high mobility group box (HMGB)-1 were suppressed after DP1 receptor agonist treatment. In contrast, IL-6, IL-1β, and TNF-α release and MMP-2, PAFR, and HMGB-1 expression levels were increased after treatment of bovine endometrial tissue with DP1 receptor antagonists. DP1-induced anti-inflammatory effects were dependent on cellular signal transduction. The L-PGDS/PGD2 pathway and DP1 receptor induced anti-inflammatory effects in bovine endometrium infected with S. aureus and E. coli by inhibiting the mitogen-activated protein kinase and nuclear factor-κB signalling pathways, thereby reducing tissue damage. Overall, our findings provide important insights into the pathophysiological roles of PGD2 in bovine endometritis and establish a theoretical basis for applying prostaglandins or non-steroidal anti-inflammatory drugs for treating endometrial inflammatory infertility in bovines.
KbvR mutant of Klebsiella pneumoniae affects the synthesis of type 1 fimbriae and provides protection to mice as a live attenuated vaccine
Authors: Zhang Fusheng , Meng Yan , Xu Li , Tian Yujiao , Lu Huigai , Xie Jichen , Ma Renhui , Li Moran , Li Bei 
Published: November 2022

AbstractKlebsiella pneumoniae is a leading cause of severe infections in humans and animals, and the emergence of multidrug-resistant strains highlights the need to develop effective vaccines for preventing such infections. Live attenuated vaccines are attractive vaccine candidates available in the veterinary field. We recently characterized that the K. pneumoniae kbvR (Klebsiella biofilm and virulence regulator) mutant was a highly attenuated strain in the mice model. In the present study, the characterization, safety, and protective efficacy of ΔkbvR strain as a live attenuated vaccine were evaluated. The synthesis and activity of type 1 fimbriae were increased in the ΔkbvR strain. All mice inoculated by the subcutaneous route with 105, 106, and 107 colony-forming units (CFU) doses of the ΔkbvR strain survived. Subcutaneous immunization with two doses of 105 or 107 CFU ΔkbvR elicited a robust humoral immune response, and provided protection against the following K. pneumoniae intraperitoneal infection. The antisera of mice immunized with 105 CFU dose improved the opsonophagocytic ability and complement-mediated lysis not only to the same serotype strain but also to the different serotype strain. The passive transfer of antisera from 105 CFU dose-immunized mice provided protection against K. pneumoniae infection. Overall, our results suggest the great potential of the ΔkbvR strain as a novel vaccine candidate against K. pneumoniae infections in herds or humans.
Current situation and future direction of Newcastle disease vaccines
Authors: Hu Zenglei , He Xiaozheng , Deng Jing , Hu Jiao , Liu Xiufan 
Published: November 2022

AbstractNewcastle disease (ND) is one of the most economically devastating infectious diseases affecting the poultry industry. Virulent Newcastle disease virus (NDV) can cause high mortality and severe tissue lesions in the respiratory, gastrointestinal, neurological, reproductive and immune systems of poultry. Tremendous progress has been made in preventing morbidity and mortality caused by ND based on strict biosecurity and wide vaccine application. In recent decades, the continual evolution of NDV has resulted in a total of twenty genotypes, and genetic variation may be associated with disease outbreaks in vaccinated chickens. In some countries, the administration of genotype-matched novel vaccines in poultry successfully suppresses the circulation of virulent NDV strains in the field. However, virulent NDV is still endemic in many regions of the world, especially in low- and middle-income countries, impacting the livelihood of millions of people dependent on poultry for food. In ND-endemic countries, although vaccination is implemented for disease control, the lack of genotype-matched vaccines that can reduce virus infection and transmission as well as the inadequate administration of vaccines in the field undermines the effectiveness of vaccination. Dissection of the profiles of existing ND vaccines is fundamental for establishing proper vaccination regimes and developing next-generation vaccines. Therefore, in this article, we provide a broad review of commercial and experimental ND vaccines and promising new platforms for the development of next-generation vaccines.
Transcriptome profiling of Paraburkholderia aromaticivorans AR20-38 during ferulic acid bioconversion
Authors: Poyntner Caroline , Ludwikowski Thomas Marek , Wagner Andreas Otto , Margesin Rosa 
Published: November 2022

AbstractThe importance and need of renewable-based, sustainable feedstocks increased in recent years. Lignin-derived monomers have high potential, energetic and economic value in the microbial bioconversion to valuable biomolecules. The bacterium Paraburkholderia aromaticivorans AR20-38 produces a remarkable yield of vanillic acid from ferulic acid at moderate and low temperatures and is therefore a good candidate for biotechnological applications. To understand this bioconversion process on a molecular level, a transcriptomic study during the bioconversion process was conducted to elucidate gene expression patterns. Differentially expressed genes, cellular transporters as well as transcriptional factors involved in the bioconversion process could be described. Additional enzymes known for xenobiotic degradation were differentially expressed and a potential membrane vesicle mechanism was detected. The bioconversion mechanism on a transcriptional level of P. aromaticivorans could be elucidated and results can be used for strain optimization. Additionally, the transcriptome study showed the high potential of the strain for other degradation applications.
Time delay estimation method based on generalized logarithmic hyperbolic secant function in impulsive noise
Authors: Dou Yuzi , Abdelrhman Omer M. , Li Sen 
Published: November 2022

AbstractIn this paper, a generalized logarithmic hyperbolic secant (GLHS) function is introduced that can effectively suppress impulsive noise while guarding the signal of interest from damage. Also, an analysis of the optimal scaling parameter choices for the GLHS function was studied. Then, in order to address the performance drawbacks of the traditional time delay estimation methods based on correlation under an impulsive noise environment, a novel GLHS-based correlation (GLHSC) is further developed, and the reliable time delay estimation result is obtained by finding the peak of GLHSC. The comprehensive Monte Carlo simulation results demonstrate that the performance of the method based on GLHSC is better than other robust competitive methods based on correlation in terms of probability of resolution and estimation accuracy, especially in a heavy-tailed noise environment.
Signal processing in passive radar with multi-user MIMO-OFDM signal
Authors: Lyu Xiaoyong , Liu Baojin , Fan Wenbing 
Published: November 2022

AbstractIn this paper, we propose a signal processing method in passive radar using the multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) signal as the illuminator of opportunity. The MU-MIMO-OFDM modulation is adopted in the fifth-generation (5G) communication. We consider the scenario where multiple mobile users share the same time–frequency resources but separate spatially in different beams formed a prior by the MU-MIMO transmitter antenna array, which is a quite general case in realistic 5G communication. A beam-by-beam matched filter is proposed for weak target sensing. Interference suppression is also discussed. The interference in this scenario is more complicated than that in the traditional passive radar. In the MU-MIMO communication system, the base station (BS) transmits multiple signals to different beam regions simultaneously for the communication between the BS and mobile users. For a specific beam region where the radar receiver is located, the interference consists of not only the direct and multipath interference (DMI) of the signal transmitted by the BS to this beam region, but also the inter-user interference (IUI) from the other beam regions. The DMI and IUI degrade the weak target detection capability significantly. In this paper, we propose a suppression method for jointly eliminating the DMI and IUI. Simulations verify the effectiveness of these methods.
Developing hybrid car-to-car communication system based on MIMO visible light and radio frequency
Authors: Okasha Nermeen M. , Zekry Abdel Halem A. , Newagy Fatma A. 
Published: November 2022

AbstractThis paper combines the advantages of both VLC communication and RF communication for car-to-car applications to achieve a higher data rate, more range coverage, smaller delay, and smaller BER. In the proposed scheme, the VLC maximum communication distance is chosen as 100 m per-hop approximately, which can be extended through multi-hop up to the timeout window of 5 hops. In contrast, the RF maximum communication distance is chosen as 200 m per-hop approximately, which is reasonable at the frequency band of 70 GHz to 90 GHz due to the high attenuation at this frequency band. A MATLAB simulation for a car-to-car framework is built to demonstrate and compare the BER, throughput, and delay outcomes at a hybrid VLC and RF communication. Our results show that VLC can achieve up to four times of the RF throughput while maintaining low BER of 10−6and small delay of 10−4with respect to RF communication only.
Numerical ranges and complex symmetric operators in semi-inner-product spaces
Authors: An Il Ju , Heo Jaeseong 
Published: November 2022

AbstractWe introduce the numerical range of a bounded linear operator on a semi-inner-product space. We compute the numerical ranges of some operators on $\ell _{2}^{p}(\mathbb{C})$

ℓ
2
p

(
C
)
$(1\le p < \infty )$
(
1
≤
p
<
∞
)
and show that the numerical range of the backward shift on an infinite-dimensional space $\ell ^{p}$

ℓ
p

is the open unit disc. We define a conjugation and a complex symmetric operator on a semi-inner-product space and discuss complex symmetry in the dual space. We prove some properties of a generalized adjoint of a complex symmetric operator. We also show that the numerical range of the complex conjugation on $\ell _{n}^{p}$

ℓ
n
p

$(n \ge 2)$
(
n
≥
2
)
is the closed unit disc. Finally, we discuss the sequentially essential numerical ranges of operators on a semi-inner-product space.
The development and initial validation of the Russian version of the BASIS-24
Authors: Madden Lynn M. , Farnum Scott O. , Bromberg Daniel J. , Barry Declan T. , Mazhnaya Alyona , Fomenko Tetiana , Meteliuk Anna , Marcus Ruthanne , Rozanova Julia , Poklad Iurii , Dvoriak Sergii , Altice Frederick L. 
Published: November 2022

Abstract
Background
Efficient and linguistically appropriate instruments are needed to assess response to addiction treatment, including severity of addiction/mental health status. This is critical for Russian-speaking persons in Eastern Europe and Central Asia (EECA) where Medications for Opioid Use Disorder (MOUD) remain underscaled to address expanding and intertwined opioid, HIV, HCV and tuberculosis epidemics. We developed and conducted a pilot validation of a Russian version of the 24-item Behavior and Symptom Identification Scale (BASIS-24), an addiction/mental health severity instrument with six subscales, previously validated in English.

Methods
Using the Mapi approach, we reviewed, translated, and back-translated the content to Russian, pilot-tested the Russian-version (BASIS-24-R) among new MOUD patients in Ukraine (N = 283). For a subset of patients (n = 44), test-rest was performed 48 h after admission to reassess reliability of BASIS-24-R. Exploratory principal component analysis (PCA) assessed underlying structure of BASIS-24-R.

Results
Cronbach alpha coefficients for overall BASIS-24-R and 5 subscales exceeded 0.65; coefficient for Relationship subscale was 0.42. The Pearson correlation coefficients for overall score and all subscales on the BASIS-24-R exceeded 0.8. Each item loaded onto factors that corresponded with English BASIS-24 subscales ≥ 0.4 in PCA.

Conclusion
Initial version of BASIS-24-R appears statistically valid in Russian. Use of the BASIS-24-R has potential to guide MOUD treatment delivery in the EECA region and help to align addiction treatment with HIV prevention goals in a region where HIV is concentrated in people who inject opioids and where healthcare professionals have not traditionally perceived MOUD as effective treatment, particularly for those with mental health co-morbidities.
Escherichia coli methionine-tRNAi/methionyl tRNA synthetase pairs induced protein initiation of interest (PII) expression
Authors: Kim Jung Min , Lee Han Yong , Jung Jinho 
Published: November 2022

AbstractThe precise regulatory role in protein synthesis by facilitating interactions with mRNA codons for various tRNA modifications is unclear. We previously reported that enhanced green fluorescent protein (GFP) reduced enhanced GFP mRNA expression in human methionine-conjugated initiator tRNA (tRNAi)/tRNA synthetase pairs under methionine-deficient conditions. Here, we investigated the effect of non-formylated methionine-conjugated Escherichia coli tRNAi on the synthesis of the protein initiation of interest (PII) in HeLa cells under intracellular L-methionine levels. We found that E. coli methionine-tRNAi counteracts human methionine-tRNAi, indicating that E. coli methionyl tRNA synthetase can induce enhanced GFP expression due to increased stability of enhanced GFP mRNA. Both complexes could support translation initiation without being employed to introduce methionine residues in the subsequent elongation steps. The results indicated that E. coli methionine-tRNAi could offset human methionine-tRNAi, and E. coli methionine-tRNAi/methionyl tRNA synthetase pairs can drive enhanced GFP mRNA expression. Unlike the human methionine-tRNAi/methionyl tRNA synthetase pairs that were used as a positive control, the non-formylated E. coli methionine-tRNAi/methionyl tRNA synthetase pairs reduced the expression of enhanced GFP mRNA, resulting in reduced HeLa cell survival. Using tRNAs functions causes of heterologous origin, such as from prokaryotes, and modified, to enhance or suppress the synthesis of specific proteins in eukaryotic organisms into the potential may possess a more prominent advantage of E. coli methionine-tRNAi as approaches that can control PII. This study provides new insights on the E. coli methionine- tRNAi/methionyl tRNA synthetase pair induced PII synthesis and the relative viability of cells could pave the way to regulate ecological/biological systems.
Dual role of brain-derived extracellular vesicles in dementia-related neurodegenerative disorders: cargo of disease spreading signals and diagnostic-therapeutic molecules
Authors: Natale Francesca , Fusco Salvatore , Grassi Claudio 
Published: November 2022

AbstractNeurodegenerative disorders are one of the most common causes of disability and represent 6.3% of the global burden of disease. Among them, Alzheimer’s, Parkinson’s, and Huntington’s diseases cause cognitive decline, representing the most disabling symptom on both personal and social levels. The molecular mechanisms underlying the onset and progression of dementia are still poorly understood, and include secretory factors potentially affecting differentiated neurons, glial cells and neural stem cell niche. In the last decade, much attention has been devoted to exosomes as novel carriers of information exchanged among both neighbouring and distant cells. These vesicles can be generated and internalized by different brain cells including neurons, neural stem cells, astrocytes, and microglia, thereby affecting neural plasticity and cognitive functions in physiological and pathological conditions. Here, we review data on the roles of exosomes as carriers of bioactive molecules potentially involved in the pathogenesis of neurodegenerative disorders and detectable in biological fluids as biomarkers of dementia. We also discuss the experimental evidence of the therapeutic potential of stem cell-derived vesicles in experimental models of neurodegeneration-dependent cognitive decline.
Optimal control strategies of SARS-CoV-2 Omicron supported by invasive and dynamic models
Authors: Rui Jia , Zheng Jin-Xin , Chen Jin , Wei Hongjie , Yu Shanshan , Zhao Zeyu , Wang Xin-Yi , Chen Mu-Xin , Xia Shang , Zhou Ying , Chen Tianmu , Zhou Xiao-Nong 
Published: November 2022

Abstract
Background
There is a raising concern of a higher infectious Omicron BA.2 variant and the latest BA.4, BA.5 variant, made it more difficult in the mitigation process against COVID-19 pandemic. Our study aimed to find optimal control strategies by transmission of dynamic model from novel invasion theory.

Methods
Based on the public data sources from January 31 to May 31, 2022, in four cities (Nanjing, Shanghai, Shenzhen and Suzhou) of China. We segmented the theoretical curves into five phases based on the concept of biological invasion. Then, a spatial autocorrelation analysis was carried out by detecting the clustering of the studied areas. After that, we choose a mathematical model of COVID-19 based on system dynamics methodology to simulate numerous intervention measures scenarios. Finally, we have used publicly available migration data to calculate spillover risk.

Results
Epidemics in Shanghai and Shenzhen has gone through the entire invasion phases, whereas Nanjing and Suzhou were all ended in the establishment phase. The results indicated that Rt value and public health and social measures (PHSM)-index of the epidemics were a negative correlation in all cities, except Shenzhen. The intervention has come into effect in different phases of invasion in all studied cities. Until the May 31, most of the spillover risk in Shanghai remained above the spillover risk threshold (18.81–303.84) and the actual number of the spillovers (0.94–74.98) was also increasing along with the time. Shenzhen reported Omicron cases that was only above the spillover risk threshold (17.92) at the phase of outbreak, consistent with an actual partial spillover. In Nanjing and Suzhou, the actual number of reported cases did not exceed the spillover alert value.

Conclusions
Biological invasion is positioned to contribute substantively to understanding the drivers and mechanisms of the COVID-19 spread and outbreaks. After evaluating the spillover risk of cities at each invasion phase, we found the dynamic zero-COVID strategy implemented in four cities successfully curb the disease epidemic peak of the Omicron variant, which was highly correlated to the way to perform public health and social measures in the early phases right after the invasion of the virus.

Graphical Abstract
Skill profiles of Japanese English learners and reasons for uneven patterns
Authors: Koizumi Rie , Agawa Toshie , Asano Keiko , In’nami Yo 
Published: November 2022

Abstract
Background
Variations in the skill profiles of learners have become an important research area in recent years. However, there is a lack of empirical research on this topic in Japan. We conducted three studies to address this gap.

Methods
Study 1 investigated the characteristics of the flat and uneven skill profiles of Japanese learners of English using 10 datasets from five standardized four-skill second-language English proficiency tests. Studies 2 and 3 examined the reasons behind learners having these uneven profiles using a convergent mixed-methods approach (Creswell & Plano Clark, Designing and conducting mixed methods research, 2018) that consisted of a questionnaire and an interview, respectively.

Results
The results of Study 1 suggested that a flat profile is uncommon, and that various types of uneven profiles exist across datasets. The most frequently observed uneven profiles were as follows: (a) listening, speaking, and writing are lower than reading (LSW<R); (b) speaking and writing are lower than listening and reading (SW<LR); and (c) speaking is lower than the other three skills (S<LRW). The results of Studies 2 and 3 suggested three key reasons, namely, (a) insufficient practice, (b) particular subskills or processes required to accomplish test tasks, and (c) unfamiliarity with test formats and test-taking environments.

Conclusions
The results demonstrated the importance of considering uneven skill profiles in L2 research and practice. These results have implications for test development, admission, placement, and pedagogy. For example, skill profile information can benefit admission and placement officers when they make a decision and can aid teachers and administrators in planning remedial instructions.