bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lawsonia intracellularis LI0666 is a new EPIYA effector exported by the Yersinia enterocolitica type III secretion system
Authors: Chen Cang , Dai Yimin , Yang Yingying , Zhu Zihe , Zhang Qinghua , An Xuejiao , Lai Fenju 
Published: June 2022

AbstractLawsonia intracellularis is the causative agent of proliferative enteropathy. While it harbors genes encoding the entire apparatus required for the type III secretion system (T3SS) and the expression of some of these components has been detected during experimental infection, the identification of L. intracellularis T3SS substrates (effector proteins) has been hampered. The Yersinia T3SS and yeast growth inhibition assays are two important heterologous systems used for the characterization of effector proteins. Bacterial EPIYA effectors are a distinct class of bacterial effectors defined by the presence of EPIYA or the EPIYA-related motif. When delivered into host cells via a T3SS or type IV secretion system, these effectors undergo tyrosine phosphorylation of the EPIYA motif, which enables them to manipulate host cell signaling by promiscuously interacting with multiple SH2 domain-containing proteins. A previous study showed that L. intracellularis LI0666 contains two EPIYA motifs and speculated that this protein could be a T3SS effector. In this study, we show that LI0666 is secreted by Yersinia in a T3SS-dependent manner and inhibits yeast growth. LI0666 is phosphorylated at tyrosine residues in porcine intestinal epithelial cells and in human epithelial cells. Like the archetypal EPIYA effector CagA, the EPIYA-containing region is not required for LI0666 association with yeast and mammalian cell membranes. Our results indicate that LI0666 is an authentic bacterial EPIYA effector. Identification of the tyrosine kinases that are responsible for LI0666 phosphorylation and the SH2 domain-containing host proteins that LI0666 interacts with will help to explore the molecular mechanisms of LI0666 in disease development.
Callose deposited at soybean sieve element inhibits long-distance transport of Soybean mosaic virus
Authors: Zhang Jie , Liu Na , Yan Aihua , Sun Tianjie , Sun Xizhe , Yao Guibin , Xiao Dongqiang , Li Wenlong , Hou Chunyan , Yang Chunyan , Wang Dongmei 
Published: June 2022

AbstractThe function of callose and its deposition characteristics at phloem in the resistance to the long-distance transportation of Soybean mosaic virus (SMV) through phloem was studied. Two different methods of SMV inoculation were used in the study, one was direct friction of the virus on seedling leaves and the other was based on grafting scion and rootstock to create different resistance and sensitivity combinations. Veins, petioles of inoculated leaves and rootstock stems were stained with callose specific dye. Results from fluorescence microscope observation, pharmacological test, and PCR detection of SMV coat protein gene (SMV-CP) showed the role of callose in long-distance transportation of SMV through phloem during infection of soybean seedlings. When the inhibitor of callose synthesis 2-deoxy-D-glucose (2-DDG) was used, the accumulation of callose fluorescence could hardly be detected in the resistant rootstocks. These results indicate that callose deposition in phloem restricts the long-distance transport of SMV, and that the accumulation of callose in phloem is a main contributing factor for resistance to this virus in soybean.
Convolutional neural network and clustering-based codebook design method for massive MIMO systems
Authors: Xing Jing , Hu Die 
Published: June 2022

AbstractIn this paper, we propose a convolutional neural network (CNN) and clustering-based codebook design method. Specifically, we train two different CNNs, i.e., CNN1 and CNN2, to compress the channel state information (CSI) matrices into the channel vectors and recover the channel vectors back into the CSI matrices, respectively. After that, the clustering algorithm clusters the output of CNN1, i.e., the channel vectors into several clusters and outputs a centroid for each cluster. The sum distance between each centroid and the channel vectors in the corresponding cluster is the smallest, which can lead to the maximum sum rate of massive MIMO codebook design. Then, the centroids are recovered into matrices by CNN2. The output of CNN2 is our proposed codebook for massive multiple-input multiple-output (MIMO) systems. In the simulation, we compare the performance of different clustering algorithms. We also compare the proposed codebook with the traditional discrete Fourier transform (DFT) codebook. Simulation results show the superiority of the proposed algorithm.
Dynamic spectrum access and sharing through actor-critic deep reinforcement learning
Authors: Dong Liang , Qian Yuchen , Xing Yuan 
Published: June 2022

AbstractWhen primary users of the spectrum use frequency channels intermittently, secondary users can selectively transmit without interfering with the primary users. The secondary users adjust the transmission power allocation on the frequency channels to maximize their information rate while reducing channel conflicts with the primary users. In this paper, the secondary users do not know the spectrum usage by the primary users or the channel gains of the secondary users. Based on the conflict warnings from the primary users and the signal-to-interference-plus-noise ratio measurement at the receiver, the secondary users adapt and improve spectrum utilization through deep reinforcement learning. The secondary users adopt the actor-critic deep deterministic policy gradient algorithm to overcome the challenges of large state space and large action space in reinforcement learning with continuous-valued actions. In addition, multiple secondary users implement multi-agent deep reinforcement learning under certain coordination. Numerical results show that the secondary users can successfully adapt to the spectrum environment and learn effective transmission policies.
Best proximity point results with their consequences and applications
Authors: Jain Satyendra Kumar , Meena Gopal , Singh Deepak , Maitra Jitendra Kumar 
Published: June 2022

AbstractIn the commenced work, we establish some best proximity point results for multivalued generalized contractions on partially ordered complete metric spaces along with the tactic of altering distance function. Furthermore, we deliver some examples to elaborate and explain the usability of the attained results. To arouse further interest in the subject and to show its efficacy, we devote this work to recent applications of fractional calculus and also invoke our findings to the equation of motion modeling to differential equations.
Novel, linear, decoupled and unconditionally energy stable numerical methods for the coupled Cahn–Hilliard equations
Authors: Li Lingfei , Yan Yongsheng , Yang Fan , Ma Xiaoqiang 
Published: June 2022

AbstractThis paper uses a novel numerical approach to approximate the coupled Cahn–Hilliard equations, which are a highly nonlinear system depicting the phase separation of the homopolymer and copolymer mixtures. The new method is named 3S-IEQ, and its construction and calculation are more straightforward than the invariant energy quadratization and scalar auxiliary variable methods. Notably, we only need to solve two linear decoupled constant-coefficient equations at each time step. Numerical simulations are shown
An economic–environmental–energy efficiency analysis for optimizing organic waste treatment of a livestock-orchard system: a case in the Mekong Delta, Vietnam
Authors: Thao Nguyen Thi Thu , Hieu Tran Thi , Thao Nguyen Thi Phuong , Vi Le Quoc , Schnitzer Hans , Son Le Thanh , Braunegg Gerhart , Braunegg Sibylle , Hai Le Thanh 
Published: June 2022

Abstract
Background
Economic benefit has been analyzed for the yield of farming products when designing a farming system, while waste treatment also generates profitable energy products for this system. The economic factor is decisive in decision-making for applying waste treatment solutions for a small-scale farming system. A household farming system in the Mekong Delta generates many kinds of organic wastes, but most of the agricultural waste resources are disposed of into the environment.

Methods
This study approaches an analysis of economic–environmental–energy (EEE) efficiency for waste treatment of an integrated livestock-orchard (LO) system on a household scale in the Mekong Delta. This novel analysis method is based on the energy content of biomass and its cost. The EEE efficiency is optimized to gain objective functions regarding energy yield efficiency, system profit, and CO2 sequestration for the treatment model. The algorithms are built for optimizing these objective functions.

Results
The optimization results show the treatment model of pyrolysis and pelleting gain all the objective functions with high efficiency. The model is efficiently applied for the LO system that generates more than 100 kg of orchard residues and 3000 kg of pig manure. The system with a charcoal oven and pellet machine is capable to gain energy efficiency due to its potential biofuel products, such as biochars and pellet products. A treatment model of composting, pyrolysis, and pelleting gives the best performance of overall EEE efficiency.

Conclusions
This work has proven economic benefits from integrating biogas tank, charcoal oven, and pellet machine in an integrated LO system. The system contributes not only for reducing CO2 emissions but also for supplementing secondary renewable bioenergy, as well as for increasing incomes and thus supporting livelihoods for the local farming households.
Treatment of resistant chronic migraine with anti-CGRP monoclonal antibodies: a systematic review
Authors: Sevivas Hugo , Fresco Paula 
Published: June 2022

Abstract
Background
Resistant chronic migraine is a highly disabling condition which is very difficult to treat. The majority of the treatments for migraine prophylaxis are nonspecific and present weak safety profiles, leading to low adherence and discontinuation. Currently, monoclonal antibodies (mAb) targeting the trigeminal sensory neuropeptide, calcitonin gene-related peptide (CGRP), are available for migraine prophylaxis being the first drugs developed specifically to target migraine pathogenesis. The main objective of the current work is to carry out a systematic review of randomised controlled trials that specifically analyse the effectivity and safety of anti-CGRP mAb, comparatively to placebo, in patients with resistant chronic migraine and possibly fill the literature gap or be a source of information to health professionals. Additionally the current knowledge on migraine, particularly resistant chronic migraine, was revisited and summarised.

Methods
Literature search was carried out on MEDLINE, Scopus, Science Direct and ClinicalTrials.gov database, from inception to December 2021. Articles were selected according to prespecified criteria of inclusion and exclusion. Efficacy and safety outcomes included were: change from baseline in monthly migraine days (MMD); ≥50% reduction of MMD values from baseline; change from baseline in monthly acute migraine-specific medication days (MAMD); Migraine-specific Quality of Life Questionnaire (MSQ); and registered adverse events. Additionally, we used the Cochrane risk of bias tool (RoB 2) to assess the risk of bias of the included studies.

Results
Four studies were included in this systematic review, involving 2811 resistant chronic migraine patients, 667 in a study using erenumab, 838 in a study using fremanezumab and 1306 in two studies using galcanezumab. When compared to placebo, all investigated anti-CGRP mAb and respective doses demonstrate effectiveness in decreasing MMD, reducing acute medication use and improving the MSQ scores, including, sometimes, reversion of chronic to episodic migraine (efficacy outcomes). Regarding the safety outcomes, the number and type of adverse events did not differ between anti-CGRP mAb-treated and placebo groups.

Conclusions
Anti-CGRP or anti-CGRP receptor monoclonal antibodies are a promising preventive migraine therapy which can be particularly useful for resistant chronic migraine patients.
Early life microbial exposures shape the Crassostrea gigas immune system for lifelong and intergenerational disease protection
Authors: Fallet Manon , Montagnani Caroline , Petton Bruno , Dantan Luc , de Lorgeril Julien , Comarmond Sébastien , Chaparro Cristian , Toulza Eve , Boitard Simon , Escoubas Jean-Michel , Vergnes Agnès , Le Grand Jacqueline , Bulla Ingo , Gueguen Yannick , Vidal-Dupiol Jérémie , Grunau Christoph , Mitta Guillaume , Cosseau Céline 
Published: June 2022

Abstract
Background
The interaction of organisms with their surrounding microbial communities influences many biological processes, a notable example of which is the shaping of the immune system in early life. In the Pacific oyster, Crassostrea gigas, the role of the environmental microbial community on immune system maturation — and, importantly, protection from infectious disease — is still an open question.

Results
Here, we demonstrate that early life microbial exposure durably improves oyster survival when challenged with the pathogen causing Pacific oyster mortality syndrome (POMS), both in the exposed generation and in the subsequent one. Combining microbiota, transcriptomic, genetic, and epigenetic analyses, we show that the microbial exposure induced changes in epigenetic marks and a reprogramming of immune gene expression leading to long-term and intergenerational immune protection against POMS.

Conclusions
We anticipate that this protection likely extends to additional pathogens and may prove to be an important new strategy for safeguarding oyster aquaculture efforts from infectious disease. tag the videobyte/videoabstract in this section
Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions
Authors: Golumbeanu Monica , Yang Guo-Jing , Camponovo Flavia , Stuckey Erin M. , Hamon Nicholas , Mondy Mathias , Rees Sarah , Chitnis Nakul , Cameron Ewan , Penny Melissa A. 
Published: June 2022

Abstract
Background
Substantial research is underway to develop next-generation interventions that address current malaria control challenges. As there is limited testing in their early development, it is difficult to predefine intervention properties such as efficacy that achieve target health goals, and therefore challenging to prioritize selection of novel candidate interventions. Here, we present a quantitative approach to guide intervention development using mathematical models of malaria dynamics coupled with machine learning. Our analysis identifies requirements of efficacy, coverage, and duration of effect for five novel malaria interventions to achieve targeted reductions in malaria prevalence.

Methods
A mathematical model of malaria transmission dynamics is used to simulate deployment and predict potential impact of new malaria interventions by considering operational, health-system, population, and disease characteristics. Our method relies on consultation with product development stakeholders to define the putative space of novel intervention specifications. We couple the disease model with machine learning to search this multi-dimensional space and efficiently identify optimal intervention properties that achieve specified health goals.

Results
We apply our approach to five malaria interventions under development. Aiming for malaria prevalence reduction, we identify and quantify key determinants of intervention impact along with their minimal properties required to achieve the desired health goals. While coverage is generally identified as the largest driver of impact, higher efficacy, longer protection duration or multiple deployments per year are needed to increase prevalence reduction. We show that interventions on multiple parasite or vector targets, as well as combinations the new interventions with drug treatment, lead to significant burden reductions and lower efficacy or duration requirements.

Conclusions
Our approach uses disease dynamic models and machine learning to support decision-making and resource investment, facilitating development of new malaria interventions. By evaluating the intervention capabilities in relation to the targeted health goal, our analysis allows prioritization of interventions and of their specifications from an early stage in development, and subsequent investments to be channeled cost-effectively towards impact maximization. This study highlights the role of mathematical models to support intervention development. Although we focus on five malaria interventions, the analysis is generalizable to other new malaria interventions.

Graphical abstract
Key immunity characteristics of diverse stages of brucellosis in rural population from Inner Mongolia, China
Authors: Zhu Yongzhang , Shi Li , Zeng Yige , Piao Dongri , Xie Yingbo , Du Juan , Gao Meng , Gao Wei , Tian Junli , Yue Jun , Li Min , Guo XiaoKui , Yao Yufeng , Kang YaoXia 
Published: June 2022

Abstract
Background
Brucellosis poses a serious threat to human and animal health, particularly in developing countries such as China. The Inner Mongolia Autonomous Region is one of the most severely brucellosis-endemic provinces in China. Currently, the host immune responses functioning to control Brucella infection and development remain poorly understood. The aim of this study is to further clarify the key immunity characteristics of diverse stages of brucellosis in Inner Mongolia.

Methods
We collected a total of 733 blood samples from acute (n = 137), chronic (n = 316), inapparent (n = 35), recovery (n = 99), and healthy (n = 146) groups from the rural community of Inner Mongolia between 2014 and 2015. The proportions of CD4+, CD8+, Th1, Th2, and Th17 T cells in peripheral blood and the expression of TLR2 and TLR4 in lymphocytes, monocytes and granulocytes were examined using flow cytometry analysis. The differences among the five groups were compared using one-way ANOVA and the Kruskal–Wallis method, respectively.

Results
Our results revealed that the proportions of CD4+ and CD8+ T cells were significantly different among the acute, chronic, recovery, and healthy control groups (P < 0.05), with lower proportions of CD4+ T cells and a higher proportion of CD8+ T cells in the acute, chronic, and recovery groups. The proportion of Th1 cells in the acute, chronic, and inapparent groups was higher than that in the healthy and recovery groups; however, there was no significant difference between patients and healthy individuals (P > 0.05). The proportion of Th2 lymphocytes was significantly higher in the acute and healthy groups than in the inapparent group (P < 0.05). The proportion of Th17 cells in the acute group was significantly higher than that in the healthy control, chronic, and inapparent groups (P < 0.05). Finally, the highest expression of TLR4 in lymphocytes, monocytes and granulocytes was observed in the recovery group, and this was followed by the acute, chronic, healthy control, and inapparent groups. There was a significant difference between the recovery group and the other groups, except for the acute group (P < 0.05). Moreover, a correlation in TLR4 expression was observed in lymphocytes, monocytes and granulocytes among the five groups (r > 0.5), except for the inapparent group between lymphocytes and granulocytes (r = 0.34).

Conclusions
Two key factors (CD8+ T cells and TLR4) in human immune profiles may closely correlate with the progression of brucellosis. The detailed function of TLR4 in the context of a greater number of cell types or tissues in human or animal brucellosis and in larger samples should be further explored in the future.

Graphical Abstract
Role of international network on surveillance and response system leading to malaria elimination: China’s engagement in global health
Authors: Lu Shenning , Huang Lulu , Duan Lei , Xu Qiuli , Ma Xuejiao , Ding Wei , Wang Duoquan , Lv Shan , Xiao Ning 
Published: June 2022

AbstractChina has accumulated multiple practices and experiences in building and enhancing malaria surveillance and response system. As China’s engagement into global health has gathered stronger momentum than ever, China together with the Swiss Tropical and Public Health Institute and WHO has organised five sessions of the International Forum on Surveillance-Response System Leading to Tropical Diseases Elimination during 2012–2020, in which malaria elimination has always been one of the hottest topics. In this study, the roles of international network on the surveillance and response system were explored to achieve a global malaria-free goal. China’s approach to malaria elimination has demonstrated significance of global collaboration on taking joint prevention and control, and building a worldwide institutional-based network.
Policymaking to support resilience in democratic countries: an examination of Sweden, Israel, and Australia
Authors: Dewaele Livia , Lucas Rebecca 
Published: June 2022

AbstractThe term ‘resilience’ has increasingly featured in foreign and security policy discourse, appearing in the 2016 European Union Global Strategy, the 2017 US National Security Strategy, and most recently in the UK’s 2021 Integrated Review. These strategies note the importance of preparing for, responding to, and recovering from crises that could affect civilian society. While these strategies agree on the importance of building resilience, they do not specify the concrete policies that would be required to do so. Through a comparison of three democratic countries that refer to resilience in their national security documents, Sweden, Israel, and Australia, this article will identify measures that contribute to resilience in democracies. It will also discuss how policymakers in democratic countries should anticipate emerging trends and future threats to enhance their resilience in an increasingly complex and dangerous security environment.
Bioinductive collagen implants facilitate tendon regeneration in rotator cuff tears
Authors: Camacho-Chacon Jorge Alberto , Cuenca-Espierrez Jorge , Roda-Rojo Victor , Martin-Martinez Adrian , Calderon-Meza Jose Manuel , Alvarez-Alegret Ramiro , Martin-Hernandez Carlos 
Published: June 2022

Abstract
Purpose
To evaluate the clinical outcomes, MRI imaging and histological characteristics of biopsy samples of the tendon from patients in whom rotator cuff repair was previously performed with a bioinductive type I bovine collagen implants.

Methods
Prospective study of 30 patients with partial or complete rotator cuff tears who underwent arthroscopic repair and augmentation with a resorbable type I bovine collagen implant. Preoperatively and at 6 and 12 months after surgery, the VAS, ASES and Constant-Murley scores were evaluated and an MRI study was performed. At 6 months, biopsies of the resulting tissue were obtained and examined histologically.

Results
Patients experienced statistically significant and sustained improvement from baseline for all scores and the mean tendon thickness increased by 1.84 mm. Magnetic resonance imaging evidence of complete healing was found in 27 patients and a considerable reduction in defect size, greater than 50%, was shown in 3. In all samples obtained, the new tissue generated had the histological appearance of a tendon, and was indistinguishable from the native tendon. There was no evidence of any remaining collagen implant.

Conclusions
Biopsies of tissue formed from bioinductive type I bovine collagen implants showed, six months after surgery, the generation of a neotendon indistinguishable from the native one. Histology and MRI imaging, revealed complete integration of the implant and absence of inflammatory or foreign body reactions. The clinical parameters, thickness and MRI signal of the tendon improved significantly at 6 months, regardless of the type and size of the tear, and remained unchanged until 12 months.

Level of evidence
Level IV, case series.