Miracle-dz/UniFAR-FTUs huggingface dataset:
of Adherent Leukocytes Metalloproteinase 10 Facilitates Detachment Chemokines by the Disintegrin and Regulated Shedding of Transmembrane

CX3CL1 (fractalkine) and CXCL16 are unique members of the chemokine family because they occur not only as soluble, but also as membrane-bound molecules. Expressed as type I transmembrane proteins, the ectodomain of both chemokines can be pro-teolytically cleaved from the cell surface, a process known as shedding. Our previous studies showed that the disintegrin and metalloproteinase 10 (ADAM10) mediates the largest proportion of constitutive CX3CL1 and CXCL16 shedding, but is not involved in the phorbolester-induced release of the soluble chemokines (inducible shedding). In this study, we introduce the calcium-ionophore ionomycin as a novel, very rapid, and efﬁcient inducer of CX3CL1 and CXCL16 shedding. By transfection in COS-7 cells and ADAM10-deﬁcient murine embryonic ﬁbroblasts combined with the use of selective metalloproteinase inhibitors, we demonstrate that the inducible generation of soluble forms of these chemokines is dependent on ADAM10 activity. Analysis of the C-terminal cleavage fragments remaining in the cell membrane reveals multiple cleavage sites used by ADAM10, one of which is preferentially used upon stimulation with ionomycin. In adhesion studies with CX3CL1-expressing ECV-304 cells and cytokine-stimulated endothelial cells, we demonstrate that induced CX3CL1 shedding leads to the release of bound monocytic cell lines and PBMC from their cellular substrate. These data provide evidence for an inducible release mechanism via ADAM10 potentially important for leukocyte
Flapping wings in line formation flight: a computational analysis

Abstract The current understanding of the aerodynamics of birds in formation flights is mostly based on field observations. The interpretation of these observations is usually made using simplified aerodynamic models. Here, we investigate the aerodynamic aspects of formation flights. We use a potential flow solver based on the unsteady vortex lattice method (UVLM) to simulate the flow over flapping wings flying in grouping arrangements and in proximity of each other. UVLM has the capability to capture unsteady effects associated with the wake. We demonstrate the importance of properly capturing these effects to assess aerodynamic performance of flapping wings in formation flight. Simulations show that flying in line formation at adequate spacing enables significant increase in the lift and thrust and reduces power consumption. This is mainly due to the interaction between the trailing birds and the previously-shed wake vorticity from the leading bird. Moreover, enlarging the group of birds flying in formation further improves the aerodynamic performance for each bird in the flock. Therefore, birds get significant benefit of such organised patterns to minimise power consumption while traveling over long distances without stop and feeding. This justifies formation flight as being beneficial for bird evolution without regard to potential social benefits, such as, visual and communication factors for group protection and predator evasion.
Modeling the influence of individual and employment factors on musculoskeletal disorders in fabrication industry

This study was designed to identify the individual and employment factors that influence highly frequent, less severe self‐reported musculoskeletal disorder pain incidences among welders. A self‐reporting questionnaire to measure two individual factors (age and experience), six employment factors (physical workload, working hours, shift work, nature of employment, mode of apprenticeship training, and association with present employer), along with a modified Nordic questionnaire response sheet was used to collect data. The survey was conducted among welders employed in a fabrication cluster in a southern part of India. A total of 987 completed questionnaires (response rate: 66%) were analyzed using the SPSS program. The analysis showed that two employment factors, “shift work” and “mode of apprenticeship training” significantly influence self‐reported musculoskeletal disorder pain. The mode of apprenticeship training was found to influence musculoskeletal disorder pain in the neck region for annual prevalence and causes annual disability in neck and upper back regions. Similarly, shift work was found to influence musculoskeletal disorder pain in the shoulder and neck regions for weekly and annual prevalence and causes annual disability in shoulder, wrist/hands, upper back, and hip/thigh/buttock regions among welders. These factors can be considered as points for targeting intervention efforts.
Discussion of “Cocitation and Coauthorship Networks of Statisticians”

Abstract We congratulate the authors for their stimulating and thought-provoking work on network data analysis. In the article, the authors not only introduce a new large-scale and high-quality publication dataset that will surely become an important benchmark for further network research, but also present novel statistical methods and modeling which lead to very interesting findings about the statistics community. There is much material for thought and exploration. In this discussion, we will focus on the cocitation networks, and discuss a few points for the coauthorship networks toward the end.
Rotorcraft Airloads Measurements Extraordinary Costs, Extraordinary Benefits

Abstract : The first airloads measurements were made in the 1950s at NACA Langley on a 15.3-foot-diameter model rotor, stimulated by the invention of miniaturized pressure transducers. The inability to predict higher harmonic loads in those early years led the U.S. Army to fund airloads measurements on the CH-34 and the UH-1A aircraft. Nine additional comprehensive airloads tests have been done since that early work, including the recent test of an instrumented UH-60A rotor in the 40- by 80-Foot Wind Tunnel at NASA Ames. This historical paper discusses the 12 airloads tests and how the results were integrated with analytical efforts. The recent history of the UH-60A Airloads Workshops is presented, and it is shown that new developments in analytical methods have transformed our capability to predict airloads that are critical for design.
Super-optimization of Smart Contracts

Smart contracts are programs deployed on a blockchain. They are executed for a monetary fee paid in gas—a clear optimization target for smart contract compilers. Because smart contracts are a young, fast-moving field without (manually) fine-tuned compilers, they highly benefit from automated and adaptable approaches, especially as smart contracts are effectively immutable, and as such need a high level of assurance. This makes them an ideal domain for applying formal methods. Super-optimization is a technique to find the best translation of a block of instructions by trying all possible sequences of instructions that produce the same result. We present a framework for super-optimizing smart contracts based on Max-SMT with two main ingredients: (1) a stack functional specification extracted from the basic blocks of a smart contract, which is simplified using rules capturing the semantics of arithmetic, bit-wise, and relational operations, and (2) the synthesis of optimized blocks, which finds—by means of an efficient SMT encoding—basic blocks with minimal gas cost whose stack functional specification is equal (modulo commutativity) to the extracted one. We implemented our framework in the tool syrup 2.0. Through large-scale experiments on real-world smart contracts, we analyze performance improvements for different SMT encodings, as well as tradeoffs between quality of optimizations and required optimization time.
Distance and Direction Based Deep Discriminant Metric Learning for Kinship Verification

Image-based kinship verification is an important task in computer vision and has many applications in practice, such as missing children search and family album construction, among others. Due to the differences in age, gender, expression and appearance, there usually exists a large discrepancy between the facial images of parent and child. This makes kinship verification a challenging task. In this article, we propose a Distance and Direction Based Deep Discriminant Metric Learning (D4ML) approach for kinship verification. The basic idea of D4ML is to make full use of the discriminant information contained in the facial images of parent and child such that the network can learn more a discriminating distance metric. Specifically, D4ML learns the metric by utilizing the discriminant information from two perspectives: distance-based perspective and direction-based perspective. From the distance-based perspective, the designed loss function is used to minimize the distance between images having kinship and maximize the distance between images without kinship. In practice, the gender difference and large age gap may significantly increase the distance between facial images of parent and child. Therefore, learning the metric only from a distance-based perspective is insufficient. Considering that two vectors with a large distance may appear with high similarity in direction, D4ML also employs the direction-based loss function in the training process. Both kinds of loss function work together to improve the discriminability of the learned metric. Experimental results on four small size publicly available datasets demonstrate the effectiveness of our approach. Source code of our approach can be found at https://github.com/lclhenu/D4ML.
Novel Biomarkers in Membranous Nephropathy

Membranous nephropathy (MN) is the main cause of adult nephrotic syndrome (NS). The pathogenesis of MN is complex and involves subepithelial immune complex deposition. Approximately one-third of patients with MN develop end-stage renal disease (ESRD). Timely diagnosis and reasonable intervention are the keys to improving prognosis. In recent years, with the development of high-throughput technologies, such as mass spectrometry (MS), microarray, and sequencing technologies, the discovery of biomarkers for MN has become an important area of research. In this review, we summarize the significant progress in biomarker identification. For example, a variety of podocyte target antigens and their autoantibodies have been reported. Phospholipase A2 receptor (PLA2R) is the most well-established target antigen in MN. PLA2R and its autoantibodies have clinical significance, with both diagnostic and therapeutic value for MN. In addition, a variety of new biomarkers, including proteins, metabolites, noncoding RNAs (ncRNAs), and immune cells, have recently been found. These MN-related biomarkers have great significance in the diagnosis, progression, prognosis, and treatment response of MN.
Proteomic and Antibody Profiles Reveal Antigenic Composition and Signatures of Bacterial Ghost Vaccine of Brucella abortus A19

Brucellosis is an important zoonotic disease that causes great economic losses. Vaccine immunisation is the main strategy for the prevention and control of brucellosis. Although live attenuated vaccines play important roles in the prevention of this disease, they also have several limitations, such as residual virulence and difficulty in the differentiation of immunisation and infection. We developed and evaluated a new bacterial ghost vaccine of Brucella abortus A19 by a new double inactivation method. The results showed that the bacterial ghost vaccine of Brucella represents a more safe and efficient vaccine for brucellosis. We further characterised the antigenic components and signatures of the vaccine candidate A19BG. Here, we utilised a mass spectrometry-based label-free relative quantitative proteomics approach to investigate the global proteomics changes in A19BGs compared to its parental A19. The proteomic analysis identified 2014 proteins, 1116 of which were differentially expressed compared with those in A19. The common immunological proteins of OMPs (Bcsp31, Omp25, Omp10, Omp19, Omp28, and Omp2a), HSPs (DnaK, GroS, and GroL), and SodC were enriched in the proteome of A19BG. By protein micro array-based antibody profiling, significant differences were observed between A19BG and A19 immune response, and a number of signature immunogenic proteins were identified. Two of these proteins, the BMEII0032 and BMEI0892 proteins were significantly different (P < 0.01) in distinguishing between A19 and A19BG immune sera and were identified as differential diagnostic antigens for the A19BG vaccine candidate. In conclusion, using comparative proteomics and antibody profiling, protein components and signature antigens were identified for the ghost vaccine candidate A19BG, which are valuable for further developing the vaccine and its monitoring assays.
L∞ fault estimation observer design for discrete-time linear parameter-varying systems

In this paper, an L∞ fault estimation observer design approach is proposed for linear parameter-varying systems. First, an augmented system is formulated with the aid of the state augmentation techniques. Then, the L∞ performance analysis is utilized to design the fault estimation observer and attenuate the influences of unknown disturbances, noises and fault variation. In particular, the presented observer has more design freedom and provides more accurate fault estimation results by introducing a novel observer structure. Finally, the feasibility and effectiveness of the presented observer are proven by a non-linear truck-trailer model.
Study of Boosted Toothed Biased Flux Permanent Magnet Motors

In this paper, three new toothed biased flux permanent magnet (PM) motors are introduced and studied, each of which has a specific arrangement of excitation (DC field/PM) and flux path (series/parallel). This results in three main structures, namely HETSPM (hybrid excited toothed biased flux PM), TBFPM (toothed biased flux PM with series flux path), and finally TBFSPM (toothed biased flux slot PM with hybrid flux path). The TBFSPM structure has improved the average torque, torque ripple and efficiency compared to other stator-PM motors. The HETSPM structure has improved the average torque per PM and the TBFPM structure features a very low torque ripple profile compared to other stator-PM motors. All of the topologies have shown a good PM demagnetization resistance and lower PM loss compared to other structures. Moreover, a new Carter’s coefficient is introduced to increase the accuracy of harmonic analysis for split-tooth structures by modeling the nonlinear effect of fringing flux with a new transition function which has increased the accuracy by 20% compared to the traditional approach. The theoretical analyses have been checked by 2-dimensional finite element method and the TBFSPM structure is prototyped and tested to validate the simulation analyses.
Sperm-mediated regulation of region-specific responses in the oviduct during establishment of pregnancy in mice

The oviduct comprises 4 main regions: infundibulum (oocyte pick-up), ampulla (fertilization), isthmus (sperm capacitation and reservoir, preimplantation embryonic development), and uterotubal junction (UTJ; sperm and embryo transport). Mounting evidence in livestock and rodents suggest that gametes alter gene expression in secretory and ciliated epithelial cells of the oviduct. To elucidate whether adaptive interactions between the oviduct and gamete/embryo exist, we performed bulk RNA-sequencing on oviductal tissues collected from infundibulum+ampulla (IA) or isthmus+UTJ (IU) at various developmental stages (0.5, 1.5, 2.5-, and 3.5-days post coitus (dpc)) in mice. Samples were also collected during days 0.5, 1.5, 2.5, and 3.5 of pseudopregnancy (dpp). We found a strong region (IA vs. IU)-specific expression of large clusters of genes. The transition from 0.5 dpc to other pregnancy timepoints induces large sets of differentially expressed genes (DEGs) in pregnancy and pseudopregnancy in both IA and IU regions. Specifically, genes involved in pro-inflammatory responses were detected in both IU and IA regions. The presence of sperm at 0.5 dpc induces DEGs involved in pro-inflammatory responses in the IU region with an enrichment of biological processes for inflammatory cytokines, macrophage, and neutrophil recruitment. Additionally, DEGs are enriched in mitogen-activated protein kinase (MAPK) pathways along with genes in the Dusp family, Map3k8, Il1b, and Il1r2, among others. However, at 1.5 dpc we observed a strong shift to an anti-inflammatory condition in the IU region. These observations were absent in 0.5 and 1.5 dpp, suggesting that the DEGs observed for those inflammatory responses during pregnancy were likely induced by the presence of sperm. scRNA-seq analysis revealed that the inflammatory responsive genes were likely produced by secretory epithelial cells, compared to other cell types in the oviduct. In addition, multiple DEGs involved in pyruvate and glycolysis were enriched in the IU region, which could provide metabolic support for developing embryos. Lastly, we have also identified that there were cells that express immune markers in the oviduct, indicating that the oviduct is an immuno-dynamic tissue. In conclusion, our findings indicate that the oviduct is adaptive and responsive to the presence of sperm and embryos in a spatiotemporal manner. In this report, we intend to disseminate our findings on the transcriptional profiles during different stages of pregnancy. The complete study and validation at the protein level are currently underway and will be updated as soon as the data are available.
First detection of Leptospira santarosai in the reproductive track of a boar: A potential threat to swine production and public health

Background Leptospirosis causes significant economic losses and is an occupational risk in the swine industry, especially in developing tropical regions where social and geoclimatic conditions are favorable for the transmission of this disease. Although vaccination can reduce infection risk, efficacy is diminished if local genetic and antigenic variants of the pathogen are not accounted for in the vaccine. Identifying and characterizing strains that circulate in different populations is therefore critical for public health mitigation practices. Methodology/Principal findings Our study was conducted on a rural breeding farm in Ecuador, where we identified, for the first time, Leptospira santarosai in the kidneys, testicles, and ejaculate of a vaccinated boar. L. santarosai was detected with a PCR assay that targets lipL32, and identified by target MLST gene sequencing using an Oxford Nanopore MinION sequencer. Conclusions/Significance As L. santarosai is pathogenic in other livestock species and humans, our finding highlights the need to evaluate the prevalence and epidemiological significance of this pathogen in pigs. In addition, further studies are needed to identify and characterize local serovars that may impact diagnosis and vaccination programs to better control leptospirosis in pigs and spillover into the human population. Author summary Leptospirosis poses a significant threat to human and animal health. In tropical countries, leptospirosis is very common, and responsible of economic losses in the livestock industry. In peridomestic and rural farms, the spillover of leptospira to humans is particularly likely as humans live and work in close proximity to animals. Although animal vaccination can reduce risk of infection, efficacy is diminished when local variants are not included in the vaccine. This report describes, for the first time, the presence of Leptospira santarosai in the reproductive tract of a vaccinated domestic boar from a rural farm in Ecuador. We detected the pathogen in its semen and urine, and despite no tissue damage, was observed in the kidneys, testes or epididymis. The farm veterinarian reported reproductive problems in sows inseminated with the semen from this boar. Our results highlight the importance of recognizing locally circulating serovars and species so that they can be included in vaccines to prevent infection and disease. Effective control of leptospirosis in livestock not only reduces economic losses for breeders, but also reduces the risk of infection and disease in humans.
Wolbachia inhibits ovarian formation and increases blood avidity in female Aedes aegypti – a 1 novel time-specific reproductive alteration

11 Wolbachia , a gram-negative endosymbiotic bacterium widespread in arthropods, is well- 12 known for changing the reproduction of its host in ways that increase its rate of spread, but 13 there are also costs to hosts that can reduce this. Here we investigated a novel reproductive 14 alteration of Wolbachia w AlbB on its host Aedes aegypti , based on studies of mosquito life 15 history traits, ovarian dissections and gene expression assays. We found that an extended 16 period of the larval stage as well as the egg stage as previously shown can increase the 17 proportion of Wolbachia -infected females that become infertile; the impact of Wolbachia on 18 infertility therefore accumulated before pupation. We found that ovarian formation was 19 blocked in infertile females, even though infected females had relatively lower Wolbachia 20 densities than fertile infected females. Infertile females also showed a higher frequency of 21 blood feeding following a prior blood meal, indicating that they do not enter a complete 22 gonotrophic cycle. Treatments leading to infertility decreased expression of genes related to 23 reproduction. Our results demonstrate effects related to the causes and consequences of 24 infertile w AlbB-infected Ae. aegypti females with implications for Wolbachia releases and 25 have evolutionary implications for Wolbachia infections in novel hosts. Ae. aegypti female infertility induced by Wolbachia w AlbB infection after egg quiescence. if the effects of Wolbachia on female infertility are permanent and dissected female ovaries. Secondly, we performed a larval starvation experiment combined with real-time PCR assays to understand the influence of Wolbachia on female development during different stages that could lead to infertility effects. Finally, we tested the blood avidity of fertile and infertile mosquitoes to see the impacts of the loss of ovaries on the rate of female blood feeding. Our study highlights the novel nature of reproductive effects altered by Wolbachia w AlbB in its new host Ae. , with implications for invasion of Wolbachia into uninfected populations and the evolution of mutualism more generally.