Abstract: A printed circuit board (PCB) has multiple layers, where select portions of inner layer circuitry, referred to as inner core circuitry, are exposed from the remaining layers. The PCB having an exposed inner core circuitry is formed using a dummy core plus plating resist process. The select inner core circuitry is part of an inner core. The inner core corresponding to the exposed inner core circuitry forms a semi-flexible PCB portion. The semi-flexible PCB portion is an extension of the remaining adjacent multiple layer PCB. The remaining portion of the multiple layer PCB is rigid. The inner core is common to both the semi-flexible PCB portion and the remaining rigid PCB portion.

Abstract: An eyeshade (10) includes a head band (12) and two eye covers (20). The head band (12) includes a middle section (14), an end section (15) horizontally extending from the middle section (14), and at least one first hook-and-loop strap (142). The first hook-and-loop strap (142) is arranged on an inner surface (141) of the middle section (14). Each eye cover (20) includes an inner pad (22) and a covering portion (24). Each inner pad (22) includes an inner pad outer surface (221) and a depression (222). The covering portion (24) includes a cavity (241) corresponding to the depression (222) and includes a second hook-and-loop strap (242). The second hook-and-loop strap (242) is removably attached to the first hook-and-loop strap (142). The eyeshade (10) has modular replaceable eye covers (20) which can be quickly attached to head band (12) to provide various functions as required.

Abstract: A PCB having multiple stacked layers laminated together. The laminated stack includes regular flow prepreg and includes a recessed cavity, a bottom perimeter of which is formed by a photo definable, or photo imageable, polymer structure, such as a solder mask frame, and a protective film. The solder mask frame and protective film protect inner core circuitry at the bottom of the cavity during the fabrication process, as well as enable the use of regular flow prepreg in the laminated stack.

Abstract: A printed circuit board (PCB) has multiple layers, where select portions of one or more conductive layers, referred to as core circuitry, form a semi-flexible PCB portion that is protected by an exposed prepreg layer. The semi-flexible PCB portion having an exposed prepreg layer is formed using a dummy core process that leaves the exposed prepreg layer smooth and undamaged. The core circuitry is part of a core structure. The semi-flexible PCB portion is an extension of the remaining adjacent multiple layer PCB. The remaining portion of the multiple layer PCB is rigid. The core structure is common to both the semi-flexible PCB portion and the remaining rigid PCB portion.

Abstract: Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such as Web mining, search marketing, bioinformatics, citation analysis, and epidemiology. A probabilistic model is presented for relational clustering, which also provides a principal framework to unify various important clustering tasks including traditional attributes-based clustering, semi-supervised clustering, co-clustering and graph clustering. The model seeks to identify cluster structures for each type of data objects and interaction patterns between different types of objects. Under this model, parametric hard and soft relational clustering algorithms are provided under a large number of exponential family distributions.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: A PCB having multiple stacked layers laminated together. The laminated stack includes regular flow prepreg and includes a recessed cavity, a bottom perimeter of which is formed by a photo definable, or photo imageable, polymer structure, such as a solder mask frame, and a protective film. The solder mask frame and protective film protect inner core circuitry at the bottom of the cavity during the fabrication process, as well as enable the use of regular flow prepreg in the laminated stack.

Abstract: A printed circuit board (PCB) has multiple layers, where select portions of inner layer circuitry, referred to as inner core circuitry, are exposed from the remaining layers. The PCB having an exposed inner core circuitry is formed using a dummy core plus plating resist process. The select inner core circuitry is part of an inner core. The inner core corresponding to the exposed inner core circuitry forms a semi-flexible PCB portion. The semi-flexible PCB portion is an extension of the remaining adjacent multiple layer PCB. The remaining portion of the multiple layer PCB is rigid. The inner core is common to both the semi-flexible PCB portion and the remaining rigid PCB portion.

Abstract: A printed circuit board (PCB) has multiple layers, where select portions of one or more conductive layers, referred to as core circuitry, form a semi-flexible PCB portion that is protected by an exposed prepreg layer. The semi-flexible PCB portion having an exposed prepreg layer is formed using a dummy core process that leaves the exposed prepreg layer smooth and undamaged. The core circuitry is part of a core structure. The semi-flexible PCB portion is an extension of the remaining adjacent multiple layer PCB. The remaining portion of the multiple layer PCB is rigid. The core structure is common to both the semi-flexible PCB portion and the remaining rigid PCB portion.

Abstract: Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such as Web mining, search marketing, bioinformatics, citation analysis, and epidemiology. A probabilistic model is presented for relational clustering, which also provides a principal framework to unify various important clustering tasks including traditional attributes-based clustering, semi-supervised clustering, co-clustering and graph clustering. The model seeks to identify cluster structures for each type of data objects and interaction patterns between different types of objects. Under this model, parametric hard and soft relational clustering algorithms are provided under a large number of exponential family distributions.

Abstract: Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such as Web mining, search marketing, bioinformatics, citation analysis, and epidemiology. A probabilistic model is presented for relational clustering, which also provides a principal framework to unify various important clustering tasks including traditional attributes-based clustering, semi-supervised clustering, co-clustering and graph clustering. The model seeks to identify cluster structures for each type of data objects and interaction patterns between different types of objects. Under this model, parametric hard and soft relational clustering algorithms are provided under a large number of exponential family distributions.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such as Web mining, search marketing, bioinformatics, citation analysis, and epidemiology. A probabilistic model is presented for relational clustering, which also provides a principal framework to unify various important clustering tasks including traditional attributes-based clustering, semi-supervised clustering, co-clustering and graph clustering. The model seeks to identify cluster structures for each type of data objects and interaction patterns between different types of objects. Under this model, parametric hard and soft relational clustering algorithms are provided under a large number of exponential family distributions.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such as Web mining, search marketing, bioinformatics, citation analysis, and epidemiology. A probabilistic model is presented for relational clustering, which also provides a principal framework to unify various important clustering tasks including traditional attributes-based clustering, semi-supervised clustering, co-clustering and graph clustering. The model seeks to identify cluster structures for each type of data objects and interaction patterns between different types of objects. Under this model, parametric hard and soft relational clustering algorithms are provided under a large number of exponential family distributions.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: In a corpus of scientific articles such as a digital library, documents are connected by citations and one document plays two different roles in the corpus: document itself and a citation of other documents. A Bernoulli Process Topic (BPT) model is provided which models the corpus at two levels: document level and citation level. In the BPT model, each document has two different representations in the latent topic space associated with its roles. Moreover, the multi-level hierarchical structure of the citation network is captured by a generative process involving a Bernoulli process. The distribution parameters of the BPT model are estimated by a variational approximation approach.

Abstract: The general problem of pattern change discovery between high-dimensional data sets is addressed by considering the notion of the principal angles between the subspaces is introduced to measure the subspace difference between two high-dimensional data sets. Current methods either mainly focus on magnitude change detection of low-dimensional data sets or are under supervised frameworks. Principal angles bear a property to isolate subspace change from the magnitude change. To address the challenge of directly computing the principal angles, matrix factorization is used to serve as a statistical framework and develop the principle of the dominant subspace mapping to transfer the principal angle based detection to a matrix factorization problem. Matrix factorization can be naturally embedded into the likelihood ratio test based on the linear models. The method may be unsupervised and addresses the statistical significance of the pattern changes between high-dimensional data sets.