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Simple Summary: An immune-suppressive disease known as chicken infectious anemia (CIA) develops after infection with chicken infectious anemia virus (CIAV). This study involved a systematic analysis of the epidemiology and genomics of CIAV in the provinces of Henan, Anhui, Jiangsu, and Hubei in China. The positive rates of the samples from each province flock ranged from 50% to 80%. Meanwhile, coinfections of CIAV with Marek's disease virus, avian leukosis virus, infectious bursal disease virus, and fowl adenovirus were also identified. This study revealed the diversity of CIAV genomes as well as key mutation sites and intricate recombinants. The study findings underscore the importance of CIAV surveillance and provide a basis for further investigation into the evolution and molecular characteristics of CIAV strains. To evaluate the recent evolution of CIAV in China, 43 flocks of chickens from the provinces of Henan, Jiangsu, Hubei, and Anhui were screened via polymerase chain reaction during 2020–2022. Of these, 27 flocks tested positive for CIAV nucleic acids, including 12 which were positive for other immunosuppression viruses. Additionally, 27 CIAV strains were isolated, and their whole genomes were sequenced. The AH2001 and JS2002 strains shared the highest identity at 99.56%, and the HB2102 and HB2101 strains shared the lowest identity at 95.34%. Based on the genome sequences of these strains and reference strains, a phylogenetic tree was constructed and divided into eight main branches. Most of the strains were grouped with the East Asian strains, whereas the HB2101 strain belonged to the Brazil and Argentina cluster. A recombination event was detected in multiple strains, in which AH2002 recombined from KJ728827/China/2014 (from Taiwan Province) and HN2203, and AH2202 recombined from KX811526/China/2017 (from Shandong Province) and HN2203. All the obtained strains had a highly pathogenic Gln amino acid site at position 394 of the VP1. Overall, our findings demonstrate the importance of CIAV monitoring and provide data that aid in understanding the evolution of CIAV. [ABSTRACT FROM AUTHOR]

Simple Summary: The duck hepatitis B virus (DHBV), owing to its high similarity to the human hepatitis B virus (HBV), is an ideal model for HBV research. In this study, 23 complete genomes of Chinese strains of DHBV were analyzed using phylogenetic methods, and their recombinant events were predicted and analyzed. These data aid in understanding the intergenotypic recombination of HBV and are expected to promote further research on the epidemiology and evolution of DHBV. In this study, we detected 12 duck and 11 goose flocks that were positive for duck hepatitis B virus (DHBV) using polymerase chain reaction and isolated 23 strains between 2020 and 2022 in China. The complete genomes of goose strains E200801 and E210501 shared the highest identity (99.9%), whereas those of strains Y220217 and E210526 shared the lowest identity (91.39%). The phylogenetic tree constructed based on the genome sequences of these strains and reference strains was classified into three major clusters: the Chinese branch DHBV-I, the Chinese branch DHBV-II, and the Western branch DHBV-III. Furthermore, the duck-origin strain Y200122 was clustered into a separate branch and was predicted to be a recombinant strain derived from DHBV-M32990 (belonging to the Chinese branch DHBV-I) and Y220201 (belonging to the Chinese branch DHBV-II). Additionally, preS protein analysis of the 23 DHBV strains revealed extensive mutation sites, almost half of which were of duck origin. All goose-origin DHBV contained the mutation site G133E, which is related to increased viral pathogenicity. These data are expected to promote further research on the epidemiology and evolution of DHBV. Continuing DHBV surveillance in poultry will enhance the understanding of the evolution of HBV. [ABSTRACT FROM AUTHOR]

Myeloperoxidase (MPO) mediates pathogen destruction by generating the bactericidal oxidant hypochlorous acid (HOCl). Formation of this oxidant is however associated with host tissue damage and disease. MPO also utilizes H 2 O 2 to oxidize other substrates, and we hypothesized that mixtures of other plasma anions, including bromide (Br−), iodide (I−), thiocyanate (SCN−) and nitrite (NO 2 −), at normal or supplemented concentrations, might modulate MPO-mediated HOCl damage. For the (pseudo)halide anions, only SCN− significantly modulated HOCl formation (IC 50 ∼33 μM), which is within the normal physiological range, as judged by damage to human plasma fibronectin or extracellular matrix preparations detected by ELISA and LC-MS. NO 2 − modulated HOCl-mediated damage, in a dose-dependent manner, at physiologically-attainable anion concentrations. However, this was accompanied by increased tyrosine and tryptophan nitration (detected by ELISA and LC-MS), and the overall extent of damage remained approximately constant. Increasing NO 2 − concentrations (0.5–20 μM) diminished HOCl-mediated modification of tyrosine and methionine, whereas tryptophan loss was enhanced. At higher NO 2 − concentrations, enhanced tyrosine and methionine loss was detected. These analytical data were confirmed in studies of cell adhesion and metabolic activity. Together, these data indicate that endogenous plasma levels of SCN− (but not Br− or I−) can modulate protein modification induced by MPO, including the extent of chlorination. In contrast, NO 2 − alters the type of modification, but does not markedly decrease its extent, with chlorination replaced by nitration. These data also indicate that MPO could be a major source of nitration in vivo , and particularly at inflammatory sites where NO 2 − levels are often elevated. [Display omitted] • The enzyme myeloperoxidase (MPO) is released at sites of inflammation and forms HOCl from Cl−. • Mixtures of Br−, I−, SCN− and NO 2 − at physiological, or higher, levels affect HOCl yields from MPO. • HOCl-mediated damage is decreased by these anions, as detected by ELISA and LC-MS. • With NO 2 −, chlorinated products are replaced by similar levels of nitrated species. • Manipulation of plasma anion concentrations can markedly alter HOCl-mediated effects. [ABSTRACT FROM AUTHOR]

N6-methyladenosine (m6A) methylation in transcripts has been suggested to influence tumorigenesis in liver tumors caused by the avian leukosis virus subgroup J (ALV-J). However, m6A modifications during ALV-J infection in vitro remain unclear. Herein, we performed m6A and RNA sequencing in ALV-J-infected chicken fibroblasts (DF-1). A total of 51 differentially expressed genes containing differentially methylated peaks were identified, which were markedly enriched in microRNAs (miRNAs) in cancer cells as well as apoptosis, mitophagy and autophagy, RNA degradation, and Hippo and MAPK signaling pathways. Correlation analysis indicated that YTHDC1 (m6A-reader gene) plays a key role in m6A modulation during ALV-J infection. The env gene of ALV-J harbored the strongest peak, and untranslated regions and long terminal repeats also contained peaks of different degrees. To the best of our knowledge, this is the first thorough analysis of m6A patterns in ALV-J-infected DF-1 cells. Combined with miRNA profiles, this study provides a useful basis for future research into the key pathways of ALV-J infection associated with m6A alteration. [ABSTRACT FROM AUTHOR]

Chicken chaphamaparvovirus (CkChpV) is a newly emerging pathogen that is currently prevalent in chickens with diarrhea symptoms. To diagnose CkChpV more conveniently and rapidly, this study established a multienzyme isothermal rapid amplification (MIRA) assay, with a reaction time of only 15 min and optimal reaction temperature of 38°C. In combination with the lateral flow dipstick assay, the CkChpV-MIRA assay can be completed within 20 min. We revealed that the detection limit of the MIRA assay using standard plasmids as templates was as low as 21.3 copies, and its sensitivity was 100 times higher than that of nested PCR. Moreover, the designed primer set and probe could only detect CkChpV specifically, and there was no cross reaction with avian nephritis virus, rotavirus, chicken parvovirus virus, Newcastle disease virus, and infectious bronchitis virus, which may cause diarrhea. These findings demonstrated that the CkChpV-MIRA assay established in this study is convenient, sensitive, and specific and does not require sophisticated equipment. It is more suitable for the detection of CkChpV in clinical samples. [ABSTRACT FROM AUTHOR]

Owing to its high similarity to human hepatitis B virus (HBV), duck HBV (DHBV) is often used as an essential model for HBV research. Although intergenotypic recombination of HBV is common, it remains unclear whether the intergenotypic recombination of human HBV is exactly the same as that of DHBV. In this study, 119 serum samples of duck and goose were collected from 51 farms (29 duck and 22 goose farms) in the central and eastern regions of China. A total of 22 strains isolated from the 22 DHBV positive flock were sequenced. Genome sequence alignment revealed that the duck- and goose-origin strains shared the highest and lowest similarities (99.7 and 90.52%, respectively). The complete genomes of these DHBV and 31 reference strains were analyzed using phylogenetic methods and classified into 3 clusters, which corresponded to the previously identified DHBV-I, DHBV-II, and DHBV-III branches. Recombination analyses of the 53 DHBV genomes indicated 2 major intergenotypic recombination events with high confidence values. These recombination events occurred between the genotypes of the Chinese isolates Y180813HB (Chinese branch [DHBV-Ⅰ]) and E170101AH (Chinese branch [DHBV-Ⅱ]) and the Western isolate DHBV-XY (Western branch [DHBV-Ⅲ]), resulting in the emergence of 2 Chinese recombinant isolates Y190303HN and Y170101HB. In addition, 40% (2/5) goose-origin and 58.8% (10/17) duck-origin DHBV in this study harbored the mutation site of G133E in preS, which promote the pathogenicity of DHBV. This is the first study to report on the genome analysis and recombination characterization of DHBV isolated from Chinese geese. Further, continuous investigation and molecular identification of DHBV should be conducted to attract researchers' attention. [ABSTRACT FROM AUTHOR]

Peroxisome proliferator-activated receptor-γ (PPARγ) is a class of ligand-activated nuclear transcription factors, which is a member of type II nuclear receptor superfamily. Previous studies demonstrate that PPARγ is expressed in a variety of tumor tissues and is closely associated with the proliferation and prognosis of digestive system tumors by its roles in mediation of cell differentiation, induction of cell apoptosis, and inhibition of cell proliferation. [ABSTRACT FROM AUTHOR]

Despite numerous studies demonstrating the effectiveness of restricted crossing U-turn (RCUT) intersection design, its implementation remains close to zero in some large states (e.g., California). The study included four locations on high-speed rural expressways (highways with partial access control) in California. The operational evaluation relies on microscopic simulation models of existing two-way stop-controlled (TWSC) intersections and alternate RCUT designs used to estimate network-wide performance measures. Two series of simulation scenarios were tested: (1) scenarios with no connected and autonomous vehicles (CAVs) and (2) scenarios with different SAE International Level 4 CAV market penetration rates (MPRs) to help policymakers and practitioners in future planning strategies. The microsimulation models were also used to generate trajectory data to create a surrogate measure-based approach. Based on the results, the RCUT designs reduced or eliminated the more severe crossing conflicts. Similar vehicle travel times were identified in various CAV MPRs except for one of the locations with challenging geometric features, where travel time increased at higher CAV MPRs. [ABSTRACT FROM AUTHOR]

A novel geminivirus, soybean stay-green associated virus (SoSGV), was previously shown to cause soybean delayed senescence and is associated with the incidence of soybean stay-green syndrome. The modes of SoSGV transmission were not yet known. We captured insects belonging to 24 distinct species in a soybean field with the SoSGV outbreak and detected the presence of SoSGV only in leafhoppers and bean bugs (Riptortus pedestris). Caged feeding experiments using captured leafhoppers and bean bugs from soybean fields showed that leafhoppers, but not bean bugs, are vectors transmitting SoSGV. The common brown leafhopper (Orosius orientalis) is identified as the dominant leafhopper species and can establish colonies feeding on soybean plants in experimental conditions. An investigation of SoSGV defective DNA revealed that soybean genomic DNA fragments could be inserted into the SoSGV genome, while sequences from wild soybean, red bean, and cowpea were also identified. We further showed that the common brown leafhopper could transmit SoSGV to wild soybean and red bean plants, emphasizing a vector's role of the leafhopper in the transmission of SoSGV in the field. [ABSTRACT FROM AUTHOR]

• The new power supply structure resulting from the new policy has been considered. • The new models project the inefficient points onto a more realistic efficient frontier. • The new models have the power to allocate the shared resources. • Results show that the power production stage is allocated less shared resources. • The power sale stage's efficiency is lower than the one of power production stage. To relieve the problems of energy shortage and environmental pollution, many countries have implemented a variety of policies to improve the energy efficiency of the power industry. To understand the impacts of such policies on energy efficiency, this paper constructs novel network data envelopment analysis models to recognize the policy-induced structural changes in the power system. Compared with previous studies, the new models project the inefficient points onto a more realistic efficient production frontier, considering how the distribution proportion of shared resources will change when the power system, modeled as a power generation stage and a power sale stage, is led by the latter stage. Our empirical study on China's power system shows that the province of Guangdong and the eastern region of China perform best, and all power production stages perform better than the corresponding power sale stages. The development of the two power subsystems in the four regions is unbalanced. More than half of the power supply systems choose to allocate more proportion of the shared resources to the sale stage rather than use a more balanced distribution between the two stages. [ABSTRACT FROM AUTHOR]

A new type of parvovirus known as feline chaphamaparvovirus (FeChPV) was discovered in the feces of shelter cats in Canada in 2019, and >50% of cats were reported to be infected with this virus. In this study, two FeChPV-positive samples were identified from the rectal swabs of 285 dogs with diarrhea but none in 50 healthy dogs. Whole genome sequences of these two FeChPV strains (OQ162042 and OQ162043) were amplified and compared with those of the two viruses originally discovered in Canada (IDEXX-1 and VRI849). The whole genome, NS1, and VP1 of the two FeChPV strains shared a high identity of 95.0%–97.8% nucleotide, 96.9%–98.6% amino acid (aa), and 97.2%–98.8% aa with the reported FeChPV strains, respectively. The phylogenetic tree of NS1 and VP1 revealed that two FeChPV strains, namely, CHN20201025 and CHN20201226, were closely clustered with the two FeChPV prototypes detected in Canada in a group. Moreover, CHN20201025 and CHN20201226 were obviously different from Carnivore chaphamaparvovirus 1 and were classified as Carnivore chaphamaparvovirus 2. This is the first study to report the identification of FeChPV in fecal samples from dogs in China, and the genetic analysis of the FeChPV, which was previously detected in Canadian cats, would improve our understanding of its host spectrum. [ABSTRACT FROM AUTHOR]

• Two series HEU-THERM benchmarks are interpreted using OpenMC for nuclear data analysis; • Analysis of ENDF/B-VII.1, ENDF/B-VIII.0, JEFF-3.3, and JEFF-4 T1 is performed; • 9Be evaluation (especially for ENDF/B-VIII.0) should be reviewed; • Thermal Scattering Law (TSL) of BeO has a great influence on HMT-027 benchmarks (up to 2500 pcm); • TSL of metal Be is negligible for the HMT-026 experimental benchmarks. This study aims to provide additional validation of nuclear data performance through a comparative analysis of the evaluated nuclear libraries ENDF/B-VII.1, ENDF/B-VIII.0, JEFF-3.3, and JEFF-4 T1. The study utilizes the OpenMC Monte Carlo neutron transport code and integral benchmarks provided by the International Criticality Safety Benchmark Evaluation Project (ICSBEP) which have not been interpreted since their first modeling. The criticality benchmarks assemblies used in this study cover 2 series which are fueled with Highly Enriched Uranium (HEU) in Metal form (MET) and have Thermal neutron spectra (THERM), referred to as HMT-026 and HMT-027, respectively. The results show that for the HMT-026 benchmarks, ENDF/B-VII.1 and ENDF/B-VIII.0 have results close to experiments. The best global agreement with the HMT-027 experiments was found to be ENDF/B-VII.1. Through relevant critical and nuclear data sensitivity analysis, it is found that Be and BeO are respectively of crucial importance for HMT-026 and HMT-027 and the nuclear data of 9Be (especially for ENDF/B-VIII.0) should be reviewed. Additionally, it is worth noting that the Thermal Scattering Law (TSL) of BeO has a great influence on the k eff calculation for the HMT-027 benchmarks, while the influence of TSL of metal Be is negligible for the HMT-026 experimental benchmarks. [ABSTRACT FROM AUTHOR]

Systemic lupus erythematosus (SLE) is an autoimmune disorder; however, the pathogenesis is not fully understood. Accumulating evidence suggested an important role of microRNAs (miRNA/miR) in autoimmunity. The present study aimed therefore to determine the miRNA expression patterns in the B cells from the peripheral blood of 66 patients with SLE and 10 healthy controls (HCs) by using an Affymetrix GeneChip® miRNA 2.0 array. In addition, next-generation sequencing was used to obtain the peripheral blood mononuclear cell (PBMC) miRNA profiles from three patients with SLE and three HCs. Candidate miRNAs that were considered to contribute to the pathogenesis of SLE were obtained based on the intersection of miRNA profiles. The analysis revealed a significant downregulation in miR-29a expression levels in B cells from patients with SLE, which was subsequently verified using reverse transcription-quantitative PCR. Based on these results, the expression pattern of miR-29a in SLE was further investigated and its role in the hyperactivity of B cells was determined. miR-29a inhibitors and mimics were transfected into PBMCs obtained from HCs and patients with SLE, and an ELISA was used to demonstrate that miR-29a inhibition increased the production of IgG. Bioinformatics analysis predicted Crk-like protein (CRKL) as a target gene of miR-29a in patients with SLE. Therefore, CRKL expression levels were compared between patients with SLE and HCs by using western blotting, and its direct transcriptional regulation by miR-29a was determined using a dual-luciferase reporter assay. Low expression levels of miR-29a were revealed to upregulate the expression levels of CRKL in B cells, and the protein expression levels of CRKL in patients with SLE were significantly upregulated compared with the HCs. In conclusion, the results from the present study suggested that miR-29a may affect IgG antibody secretion in B cells by regulating CRKL, thereby contributing to the development and progression of SLE, which offers a novel candidate target for treatment. [ABSTRACT FROM AUTHOR]

There is a growing enthusiasm to combine the data envelopment analysis (DEA) method with the conception of “big data.” This study proposes a new algorithm to deal with massive data for DEA with undesirable output. First, we modified the current weak disposability model to deal with undesirable output and prove its applicability. Then, we introduced the two fastest approaches (build hull approach and pre-score approach) and found that they cannot be directly employed in DEA with undesirable output because the pre-score approach may not be as powerful. We modified these two approaches to make them capable of dealing with undesirable output and integrated them by proposing a new algorithm. In practice, we used simulated data and data of Chinese industrial enterprises including environmental and health indicators, and all the above data meet the requirements of the model. The results show that our approach can not only be applied to deal with undesirable output in DEA, but it also can perform better than the build hull approach in some situations. Our approach also benefits the pre-score approach if it cannot include total efficiency units. Finally, five datasets were collected or generated to test the capability of our approach. [ABSTRACT FROM AUTHOR]

Ultra-high-performance concrete (UHPC) is a new type of high-performance cement-based composite. It is widely used in important buildings, bridges, national defense construction, etc. because of its excellent mechanical properties and durability. Freeze thaw and salt erosion damage are one of the main causes of concrete structure failure. The use of UHPC prepared with multi-walled carbon nanotubes (MWCNTs) is an effective method to enhance the durability of concrete structures in complex environments. In this work, the optimal mix proportion based on mechanical properties was obtained by changing the content of MWCNTs and water binder ratio to prepare MWCNTs UHPC. Then, based on the changes in the compressive strength, mass loss rate, and relative dynamic modulus of elasticity (RDME), the damage degree of concrete under different salt erosion during 1500 freeze-thaw (FT) cycles was analyzed. The changes in the micro pore structure were characterized by scanning electron microscope (SEM) and nuclear magnetic resonance (NMR). The test results showed that the optimum mix proportion at the water binder ratio was 0.19 and 0.1% MWCNTs. At this time, the compressive strength was 34.1% higher and the flexural strength was 13.6% higher than when the MWCNTs content was 0. After 1500 salt freezing cycles, the appearance and mass loss of MWCNTs-UHPC prepared according to the best ratio changed little, and the maximum mass loss was 3.18%. The higher the mass fraction of the erosion solution is, the lower the compressive strength and RDME of concrete after FT cycles. The SEM test showed that cracks appeared in the internal structure and gradually increased due to salt freezing damage. However, the microstructure of the concrete was still relatively dense after 1500 salt freezing cycles. The NMR test showed that the salt freezing cycle has a significant influence on the change in the small pores, and the larger the mass fraction of the erosion solution, the smaller the change in the proportion of pores. After 1500 salt freezing cycles, the samples did not fail, which shows that MWCNTs UHPC with a design service life of 150 years has good salt freezing resistance under the coupling effect of salt corrosion and the FT cycle. [ABSTRACT FROM AUTHOR]

As a sparse data analysis algorithm, ensuring a reasonable model structure is an important challenge for grey models to identify the control mechanism of the uncertain system from observational data. To improve the intelligence and adaptability of the model, this study presents a synchronized optimization strategy for data prioritization and model structure for discrete polynomial grey prediction model. The proposed polynomial grey model contains two hyper-parameters: memory factor parameter and structural parameter. The memory factor is introduced into the discrete model to reconstruct the objective function of structural parameter optimization, thereby avoiding the problem of information superposition. The structural parameter is used to enhance the adaptability of grey prediction model in uncertain data analysis tasks. By employing a recursive estimation approach, an adaptive strategy for estimating model hyper-parameters is proposed, which focuses on minimizing prediction errors within the in-sample data. Additionally, a comparison is made between the proposed improved polynomial grey model and existing polynomial grey models in terms of data information mining, estimation stability, and robustness against measurement noise. The proposed model is applied to the practical engineering application of wear prediction, further validating the effectiveness of the proposed approach in non-equidistant time series prediction tasks. [ABSTRACT FROM AUTHOR]

World Trade Web is the backbone of the global economy system. Identifying influential countries and regions in such a network and revealing their importance evolution over time are helpful for understanding global economic development. Here, we collect the worldwide trade data in commodities of 232 countries and regions from 1996 to 2015 from the UN Comtrade Database, based on which a series of weighted world trade networks are constructed. Since the networks are almost fully connected, most of the existing methods may fail in identifying the important nodes. To tackle this issue, we apply the generalized Degree, H -index and Coreness (DHC) theorem to the constructed networks and use weighted degree and coreness to quantify nodes' importance, since they can make full use of the weight information to accurately evaluate nodes' significance. Then, we analyze the rankings of countries and regions measured by various indicators, whose differences and advantages are also compared. We further present the evolution of countries' significance over time, two typical groups of countries. The results show that the influence of a country or region has a strong correlation with its economic scale, but a relatively weak correlation with the diversity of its trade structure. Finally, based on the findings, we put forward corresponding strategies to enhance the trade influence for different types of countries. [ABSTRACT FROM AUTHOR]

[Display omitted] • Largemouth bass pIgR could combine with IgM. • Largemouth bass pIgR could bind to Aeromonas hydrophila and Micrococcus luteus. • Largemouth bass pIgR had binding capability to LPS, PGN and various saccharides. • Saccharide binding was an important interaction mechanism between largemouth bass pIgR and bacteria. The polymeric immunoglobulin receptor (pIgR) is an important molecule in the mucosal immunity of teleosts. Previous studies have shown that pIgR can bind and transport polymeric immunoglobulins (pIgs), but few studies have focused on the binding of teleost pIgR to bacteria. In this study, we identified a gene encoding pIgR in largemouth bass (Micropterus salmoides). The pIgR gene contained two Ig-like domains (ILDs), which were homologous to ILD1 and ILD5 of mammalian pIgR. Our results showed that largemouth bass pIgR-ILD could combine with IgM. Moreover, we also found that largemouth bass pIgR-ILD could bind to Aeromonas hydrophila and Micrococcus luteus. Further analysis showed that largemouth bass pIgR-ILD could also combine with lipopolysaccharide (LPS), peptidoglycan (PGN) and various saccharides, and reduced binding to bacteria was observed with LPS and PGN treatment, indicating that largemouth bass pIgR could bind to bacteria to prevent infection and that saccharide binding is an important interaction mechanism between pIgR and bacteria. These results collectively demonstrated that largemouth bass pIgR not only combines with IgM but also binds to bacteria by various saccharides. [ABSTRACT FROM AUTHOR]

In the last two decades, network science has blossomed and influenced various fields, such as statistical physics, computer science, biology and sociology, from the perspective of the heterogeneous interaction patterns of components composing the complex systems. As a paradigm for random and semi-random connectivity, percolation model plays a key role in the development of network science and its applications. On the one hand, the concepts and analytical methods, such as the emergence of the giant cluster, the finite-size scaling, and the mean-field method, which are intimately related to the percolation theory, are employed to quantify and solve some core problems of networks. On the other hand, the insights into the percolation theory also facilitate the understanding of networked systems, such as robustness, epidemic spreading, vital node identification, and community detection. Meanwhile, network science also brings some new issues to the percolation theory itself, such as percolation of strong heterogeneous systems, topological transition of networks beyond pairwise interactions, and emergence of a giant cluster with mutual connections. So far, the percolation theory has already percolated into the researches of structure analysis and dynamic modeling in network science. Understanding the percolation theory should help the study of many fields in network science, including the still opening questions in the frontiers of networks, such as networks beyond pairwise interactions, temporal networks, and network of networks. The intention of this paper is to offer an overview of these applications, as well as the basic theory of percolation transition on network systems. [ABSTRACT FROM AUTHOR]

Background A various of pharmacological effects of astaxanthin has been confirmed. However, the mechanism underlying protective effect of astaxanthin on acute pancreatitis (AP) induced by cerulein still unclear. The present study is to investigate the mechanism underlying the effect of astaxanthin on autophagy and apoptosis via the JAK/STAT3 pathway. Methods Intraperitoneal injection of cerulein at hourly intervals followed by lipopolysaccharide injection were used in Balb/C mice. Vehicle or astaxanthin, which intraperitoneal injected in two doses (20 mg/kg and 40 mg/kg), were injected in mice 1 h before the first cerulein injection. At 3 h after the last injection, when the pathological changes were most severe, pancreatic tissue was analyzed by pathologically scored and hematoxylin and eosin (H&E) staining. The severity of AP was assessed by histological grading, proinflammatory cytokine levels, biochemistry, myeloperoxidase (MPO) activity, and analysis of JAK/STAT3 activity. Results Astaxanthin administration markedly reduced serum digestive enzyme activities, pancreatic histological scores, proinflammatory cytokine levels (tumor necrosis factor-α (TNF-α), Interleukin-1β (IL-1β), and Interleukin-6 (IL-6)), MPO and JAK/STAT3 activity. Conclusion Collectively, these results indicate that astaxanthin inhibits pancreatic injury in AP by targeting JAK/STAT3-mediated apoptosis and autophagy. [ABSTRACT FROM AUTHOR]