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Deep neural networks are extremely vulnerable to malicious input data. As 3D data is increasingly used in vision tasks such as robots, autonomous driving and drones, the internal robustness of the classification models for 3D point cloud has received widespread attention. In this paper, we propose a novel method named SPGA (Shape Prior Guided Attack) to generate adversarial point cloud examples. We use shape prior information to make perturbations sparser and thus achieve imperceptible attacks. In particular, we propose a Spatially Logical Block (SLB) to apply adversarial points through sliding in the oriented bounding box. Moreover, we design an algorithm called FOFA for this type of task, which further refines the adversarial attack in the process of breaking down complicated problems into sub-problems. Compared with the methods of global perturbation, our attack method consumes significantly fewer computations, making it more efficient. Most importantly of all, SPGA can generate examples with a higher attack success rate (even in a defensive situation), less perturbation budget and stronger transferability.

The objective of the study was to simulate New Zealand’s foot-and-mouth disease (FMD) operational plan to determine personnel requirements for a FMD response and understand how the numbers of frontline staff available could affect the size and duration of FMD outbreaks, when using stamping-out (SO) measures with or without vaccination. The model utilized a national dataset of all known livestock farms. Each simulation randomly seeded infection into a single farm. Transmission mechanisms included direct and indirect contacts, local and airborne spread. Prior to each simulation, the numbers of personnel for front-line tasks were set randomly. In a random subset of simulations, vaccination was allowed to be deployed as an adjunct to SO. Front-line tasks included contact tracing, surveillance of at-risk farms, depopulation and vaccination using teams comprising personnel of the different types required by New Zealand’s operational plans. The effect of personnel numbers on the size and duration of epidemics were explored using machine learning methods. In the second stage of the study, using a subset of iterations where numbers of personnel were unconstrained, the number of personnel used each day were quantified. When personnel resources were unconstrained, the 95 percentile and maximum number of infected places (IPs) were 78 and 462 respectively, and the 95 percentile and maximum duration were 69 and 217 days respectively. However, severe constraints on personnel resources allowed some outbreaks to exceed the size of the UK 2001 FMD epidemic which had 2026 IPs. The number of veterinarians available had a major influence on the size and duration of outbreaks, while the availability of other personnel types did not. A shortage of veterinarians was associated with an increase in time to detect and depopulate IPs, allowing for continued transmission. Emergency vaccination placed a short-term demand for additional staff at the start of the vaccination programme, but the overall number of person days used were similar to SO-only strategies. This study determined the optimal numbers of front-line personnel required to implement the current operational plans to support an FMD response in New Zealand. A shortage of veterinarians was identified as the most influential factor to impact disease control outcomes. Emergency vaccination led to earlier control of an FMD outbreak, but also resulted in a short-term spike in demand for personnel. A successful response needs to have access to sufficient personnel, particularly veterinarians, trained in response roles and available at short notice.

The objective of the study was to simulate New Zealand's foot-and-mouth disease (FMD) operational plan to determine personnel requirements for an FMD response and understand how the numbers of front-line staff available could affect the size and duration of FMD outbreaks, when using stamping-out (SO) measures with or without vaccination. The model utilized a national dataset of all known livestock farms. Each simulation randomly seeded infection into a single farm. Transmission mechanisms included direct and indirect contacts, local and airborne spread. Prior to each simulation, the numbers of personnel available for front-line tasks (including contact tracing, surveillance of at-risk farms, depopulation and vaccination) were set randomly. In a random subset of simulations, vaccination was allowed to be deployed as an adjunct to SO. The effects of personnel numbers on the size and duration of epidemics were explored using machine learning methods. In the second stage of the study, using a subset of iterations where numbers of personnel were unconstrained, the number of personnel used each day were quantified. When personnel resources were unconstrained, the 95

Existing Few Shot Segmentation (FS-Seg) methods mostly study a restricted setting where only foreground and background are required to be discriminated and fall short at discriminating multiple classes. In this paper, we focus on a challenging but more practical variant: Generalized Few Shot Segmentation (GFS-Seg), where all SEEN and UNSEEN classes are segmented simultaneously. Previous methods treat the background as a regular class, leading to difficulty in differentiating UNSEEN classes from it at the test stage. To address this issue, we propose Adaptive Background Modeling and Prototype Query Network (ABPNet), in which the background is formulated as the complement of the set of interested classes. With the help of the attention mechanism and a novel meta-training strategy, it learns an effective set difference function that predicts task-specific background adaptively. Furthermore, we design a Prototype Querying (PQ) module that effectively transfers the learned knowledge to UNSEEN classes with a neural dictionary. Experimental results demonstrate that ABPNet significantly outperforms the state-of-the-art method CAPL on PASCAL-5i and COCO-20i, especially on UNSEEN classes. Also, without retraining, ABPNet can generalize well to FS-Seg.

Wool is composed primarily of proteins belonging to the keratin family. These include the keratins and keratin-associated proteins (KAPs) that are responsible for the structural and mechanical properties of wool fibre. Although all human keratin and KAP genes have been annotated, many of their ovine counterparts remain unknown and even less is known about their genomic organisation. The aim of this study was to use a combinatory approach including comprehensive cDNA and de novo genomic sequencing to identify ovine keratin and KAP genes and their genomic organisation and to validate the keratins and KAPs involved in wool production using ovine expressed sequence tag (EST) libraries and proteomics. The number of genes and their genomic organisation are generally conserved between sheep, cattle and human, despite some unique features in the sheep. Validation by protein mass spectrometry identified multiple keratins (types I and II), epithelial keratins and KAPs. However, 15 EST-derived genes, including one type II keratin and 14 KAPs, were identified in the sheep genome that were not present in the NCBI gene set, providing a significant increase in the number of keratin genes mapped on the sheep genome.

This paper introduces the development background of mobile communication and the development of mobilecommunication. It introduces the application principle, network structure, main technology, the advantages anddisadvantages of the three generations of mobile communication system respectively, and introduces the currentthird generation mobile communication system, including its technical support and research direction, analysis andcomparison of the European WCDMA system, the United States CDMA2000 system and China's TD-SCDMA systemtechnical characteristics. Finally, the development trend and prospect of future mobile communication system arediscussed.

Most protein in hair and wool is of two broad types: keratin intermediate filament-forming proteins (commonly known as keratins) and keratin-associated proteins (KAPs). Keratin nomenclature was reviewed in 2006, but the KAP nomenclature has not been revised since 1993. Recently there has been an increase in the number of KAP genes (KRTAPs) identified in humans and other species, and increasingly reports of variation in these genes. We therefore propose that an updated naming system is needed to accommodate the complexity of the KAPs. It is proposed that the system is founded in the previous nomenclature, but with the abbreviation sp-KAPm-nL*x for KAP proteins and sp-KRTAPm-n(p/L)*x for KAP genes. In this system “sp” is a unique letter-based code for different species as described by the protein knowledge-based UniProt. “m” is a number identifying the gene or protein family, “n” is a constituent member of that family, “p” signifies a pseudogene if present, “L” if present signifies “like” and refers to a temporary “place-holder” until the family is confirmed and “x” signifies a genetic variant or allele. We support the use of non-italicised text for the proteins and italicised text for the genes. This nomenclature is not that different to the existing system, but it includes species information and also describes genetic variation if identified, and hence is more informative. For example, GenBank sequence JN091630 would historically have been named KRTAP7-1 for the gene and KAP7-1 for the protein, but with the proposed nomenclature would be SHEEP-KRTAP7-1*A and SHEEP-KAP7-1*A for the gene and protein respectively. This nomenclature will facilitate more efficient storage and retrieval of data and define a common language for the KAP proteins and genes from all mammalian species.

Keratin-associated proteins (KAPs) are a major component of wool and other keratin-containing tissues. While four KAP1-n proteins have been identified in sheep, only three genes have been described encoding KAP1-1, KAP1-3 and KAP1-4. Here, we used a sequence conserved across the known KAP1-n genes to search the inaugural Ovine Genome Sequence (v1.0) and identified a new KAP1-n sequence on chromosome 11. PCR amplification of this sequence revealed an open reading frame of 474-bp that putatively encodes a polypeptide sequence very similar to the previously described ovine KAP1-2 protein and suggests that the newly identified sequence represents the previously unidentified KAP1-2 gene (KRTAP1-2). Its expression in skin was confirmed by PCR, and the mRNA was localized to the cortex of the mid-keratinization zone of a growing wool fibre using a gene-specific probe and in situ hybridization. PCR-SSCP analysis of KRTAP1-2 revealed nine unique banding patterns representing nine different DNA sequences. One sequence was identical to, and the other eight were homologous to, the sequence identified above, suggesting that they were allelic variants of ovine KRTAP1-2. There were ten single nucleotide substitutions identified, although only three of these were non-synonymous and would potentially result in amino acid changes. The variation identified here may influence the expression or protein structure of KAP1-2 and consequently wool structure and wool traits.

Keratin IF (KRT) and keratin-associated protein genes encode the majority of wool and hair proteins. We have identified cDNA sequences representing nine novel sheep KRT genes, increasing the known active genes from eight to 17, a number comparable to that in the human. However, the absence of KRT37 in the type I family and the discovery of type II KRT87 in sheep exemplify species-specific compositional differences in hair KRT genes. Phylogenetic analysis of hair KRT genes within type I and type II families in the sheep, cattle and human genomes revealed a high degree of consistency in their sequence conservation and grouping. However, there were differences in the fibre compartmentalisation and keratinisation zones for the expression of six ovine KRT genes compared with their human orthologs. Transcripts of three genes (KRT40, KRT82 and KRT84) were only present in the fibre cuticle. KRT32, KRT35 and KRT85 were expressed in both the cuticle and the fibre cortex. The remaining 11 genes (KRT31, KRT33A, KRT33B, KRT34, KRT36, KRT38-39, KRT81, KRT83 and KRT86-87) were expressed only in the cortex. Species-specific differences in the expressed keratin gene sets, their relative expression levels and compartmentalisation are discussed in the context of their underlying roles in wool and hair developmental programmes and the distinctive characteristics of the fibres produced.

Keratin-associated proteins (KAPs) are a major component of wool and other keratin-containing tissues. While four KAP1-n proteins have been identified in sheep, only three genes have been described encoding KAP1-1, KAP1-3 and KAP1-4. Here, we used a sequence conserved across the known KAP1-n genes to search the inaugural Ovine Genome Sequence (v1.0) and identified a new KAP1-n sequence on chromosome 11. PCR amplification of this sequence revealed an open reading frame of 474-bp that putatively encodes a polypeptide sequence very similar to the previously described ovine KAP1-2 protein and suggests that the newly identified sequence represents the previously unidentified KAP1-2 gene (KRTAP1-2). Its expression in skin was confirmed by PCR, and the mRNA was localized to the cortex of the mid-keratinization zone of a growing wool fibre using a gene-specific probe and in situ hybridization. PCR-SSCP analysis of KRTAP1-2 revealed nine unique banding patterns representing nine different DNA sequences. One sequence was identical to, and the other eight were homologous to, the sequence identified above, suggesting that they were allelic variants of ovine KRTAP1-2. There were ten single nucleotide substitutions identified, although only three of these were non-synonymous and would potentially result in amino acid changes. The variation identified here may influence the expression or protein structure of KAP1-2 and consequently wool structure and wool traits.

Resource management is crucial to software productions. Resources must be carefully acquired and released, or a resource leak might occur. For open source projects, resource leaks can be easily introduced during code check-in, and it is laborious to review, identify, report, and fix such leaks. Recently, there has been a growing interest in data mining API usage patterns to discover potential bugs such as resource leaks. However, the usage patterns mined are specific to a certain library, which cannot be applied to detect bugs in other libraries. In this paper, we present an idea called MODE, “Mine Once, Detect Everywhere”, to address the universality of such patterns, and use them to detect potential resource leaks automatically before code check-in. We propose an efficient algorithm to record the most valuable API calls that are related to resource usage during program execution, and mine resource usage patterns from the traces with a sequence miner. To verify the effectiveness of the patterns, experiments are given to use them to detect real resource leaks in large open source projects.

Keratin IF (KRT) and keratin-associated protein genes encode the majority of wool and hair proteins. We have identified cDNA sequences representing nine novel sheep KRT genes, increasing the known active genes from eight to 17, a number comparable to that in the human. However, the absence of KRT37 in the type I family and the discovery of type II KRT87 in sheep exemplify species-specific compositional differences in hair KRT genes. Phylogenetic analysis of hair KRT genes within type I and type II families in the sheep, cattle and human genomes revealed a high degree of consistency in their sequence conservation and grouping. However, there were differences in the fibre compartmentalisation and keratinisation zones for the expression of six ovine KRT genes compared with their human orthologs. Transcripts of three genes (KRT40, KRT82 and KRT84) were only present in the fibre cuticle. KRT32, KRT35 and KRT85 were expressed in both the cuticle and the fibre cortex. The remaining 11 genes (KRT31, KRT33A, KRT33B, KRT34, KRT36, KRT38-39, KRT81, KRT83 and KRT86-87) were expressed only in the cortex. Species-specific differences in the expressed keratin gene sets, their relative expression levels and compartmentalisation are discussed in the context of their underlying roles in wool and hair developmental programmes and the distinctive characteristics of the fibres produced.

The catalogue of hair keratin intermediate filaments (KIFs) and keratin-associated proteins (KAPs) present in wool follicles is incomplete. The full coding sequences for three novel sheep KIFs (KRT27, KRT35 and KRT38) and one KAP (KRTAP4-3) were established in this study. Spatial expression patterns of these and other genes (KRT31, KRT85, KRTAP6-1 and trichohyalin) were determined by in situ hybridisation in wool follicles at synchronised stages of growth. Transcription proceeded in the order: trichohyalin, KRT27, KRT85, KRT35, KRT31, KRT38, KRTAP6-1 and KRTAP4-3, as determined by increasing distance of their expression zones from the germinal matrix in anagen follicles. Expression became gradually more restricted to the lower follicle during follicle regression (catagen), and ceased during dormancy (telogen). Some genes (KRT27, KRT31, KRT85 and KRTAP6-1), but not others, were expressed in cortical cells forming the brush-end, indicating specific requirements for the formation of this anchoring structure. The resumption of keratin expression was observed only in later stages of follicle reactivation (proanagen). KIF expression patterns in primary wool follicles showed general resemblance to their human homologues but with some unique features. Consistent differences in localisation between primary and secondary wool follicles were observed. Asymmetrical expression of KRT27, KRT31, KRT35, KRT85 and trichohyalin genes in secondary follicles were associated with bulb deflection and follicle curvature, suggesting a role in the determination of follicle and fibre morphology.

Cortical spreading depression (CSD) is an important pathological model of migraine and is related to other neural disorders, such as cerebral ischemia and epilepsy. It has been reported that brain stimulation is a quite effective way to treat neural diseases. However, direct stimulation could cause harm to brain. If peripheral nerve stimulation could have the same treatment, it would be essential to investigate the mechanisms of peripheral nerve and the study of sciatic nerve stimulation would have profound clinical meaning. In this paper, we used optical intrinsic signal imaging (OISI) and extracellular electrophysiologic recording techniques to study the effects of sciatic nerve stimulation on the propagation of CSD. We found that: (1) continuous sciatic nerve stimulation on rats caused a decrease in light intensity on the whole cortex, which meant an increase in cerebral blood volume(CBV); (2) the spreading velocity of CSD declined from 3.63± 0.272 mm/min to 3.06±0.260 mm/min during sciatic nerve stimulation, compared with that without sciatic nerve stimulation. In summary, data suggests that sciatic nerve stimulation elicits a response of cortex and causes a slowdown in the propagation of CSD.© (2008) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Keratin associated proteins (KAPs) are a class of proteins that associate with keratin intermediate filament proteins through disulphide linkages to give fibres such as hair and wool their unique properties. Up to 90 proteins from some 25 families have been identified and this does not include polymorphic variants of individual proteins within these families. The existence of this diverse group of proteins has been known for some 75 years but, despite this, there is still no universally accepted nomenclature for them. This paper sets out the case for revising the current system to deal with this nomenclature issue.