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Until recently, modern science had been dominated by a handful of Western countries. However, since the turn of the millennium, the global science landscape has undergone dramatic changes. The number of nations where a significant proportion of research done is of high international standard has now increased considerably. China particularly stands out and is today one of the leading science nations in the world. Overall, Chinese research collaborations with countries in the Western world exemplify the general trend towards increasing complexity in the global research landscape. It has gradually become obvious that differences between institutional settings need to be managed more systematically to promote cross-border research cooperation for shared benefits, from individual to institutional levels. An informed discussion of managing complex conditions necessitates an understanding of the relationship-level dynamics of research collaborations. In order to identify what aspects of international research collaborations are the most pertinent to systematically manage at individual and institutional levels, this paper investigates projects in a bilateral Swedish–Chinese funding program. The paper finds that the majority of collaborations funded had yielded positive impact in terms of publications, strengthened research capacity in research groups, and resource accumulation. The challenges found in the collaborations are related to needs such as improving transparency, ethical concerns, and imbalances in reciprocity.

A 4D dual-mode staring hyperspectral-depth imager (DSHI), which acquire reflectance spectra, fluorescence spectra, and 3D structural information by combining a staring hyperspectral scanner and a binocular line laser stereo vision system, is introduced. A 405 nm laser line generated by a focal laser line generation module is used for both fluorescence excitation and binocular stereo matching of the irradiated line region. Under the configuration, the two kinds of hyperspectral data collected by the hyperspectral scanner can be merged into the corresponding points in the 3D model, forming a dual-mode 4D model. The DSHI shows excellent performance with spectral resolution of 3 nm, depth accuracy of 26.2 µm. Sample experiments on a fluorescent figurine, real and plastic sunflowers and a clam are presented to demonstrate system’s with potential within a broad range of applications such as, e.g., digital documentation, plant phenotyping, and biological analysis.

A novel tactile sensor for two-dimensional force location measurements, based on polymer-based planar waveguide chirped Bragg gratings (PPCBGs) fabricated on sheet PMMA substrate, is presented. The planar waveguide and chirped Bragg grating are simultaneously generated using a KrF excimer laser and a phase mask covered by a quartz chrome mask. Location and magnitude of an applied force is measured by observing the change of the wavelength of a dip in the measured spectrum and a change in the reflectivity intensity. Experimental characterization indicates submillimeter spatial resolution of applied force in the range of 1-4 N with a sensitivity of 947.02 pm/mm.

Room-temperature strong coupling between quasi-bound states in the continuum (q-BIC) of a silicon nitride metasurface and excitons in a WS2 monolayer is investigated in detail by both numerical sim...

Since the outbreak of coronavirus disease 2019 (COVID-19), efficient real-time monitoring has become one of the challenges faced in SARS-CoV-2 virus detection. A compact all-fiber Mach-Zehnder interferometer optofluidic sensor based on a hollow eccentric core fiber (HECF) for the detection and real-time monitoring of SARS-CoV-2 spike glycoprotein (SARS-CoV-2 S2) is proposed, analyzed and demonstrated. The sensor is comprised of fusion splicing single mode fiber (SMF), hollow core fiber (HCF) and HECF. After the incident light passes through the HCF from the SMF, it uniformly enters the air hole and the suspended micrometer-scale fiber core of the HECF to form a compact all-fiber Mach-Zehnder interferometer (MZI). HECF is side polished to remove part of the cladding that the suspended fiber core can contact the external environment. Subsequently, the mouse anti SARS-CoV-2 S2 antibody is fixed on the surface of the suspended-core for the sake of achieving high sensitivity and specific sensing of SARS-CoV-2 S2. The limit of detection (LOD) of the sensor is 26.8 pM. The proposed sensor has high sensitivity, satisfactory selectivity, and can be fabricated at low cost making it highly suitable for point-of-care testing and high-throughput detection of early stage of COVID-19 infection.

A portable short-wavelength infrared microscope hyperspectral imager (SMHI) combined with machine learning algorithms for the purpose of classifying geographical origins as well as root types of Lindera aggregata is developed. The spectral range of the SMHI system is 1090-1820 nm (5500-9100 cm-1) with spectral and spatial resolutions of 4 nm and 27.3 μm, respectively. Utilizing PCA-RF algorithms, the geographic origin of tuberous roots and leaves from five different origins were classified with accuracies of 97.5% and 97.8%, respectively. In addition, spatial identification of tuberous root and taproot tubers in a mixed sample was done with an accuracy of 98.98%. The accuracy of origin classification and spatial identification are high enough which indicate the significant potential of applying SMHI system into the non-invasive spatial mapping and rapid quality assessment of medicinal herbs.

In this work, it is shown that surface-enhanced Raman scattering (SERS) measurements can be performed using liquid platforms to perform bioanalysis at sub-pM concentrations. Using magnetic enrichment with gold-coated magnetic nanoparticles, the high sensitivity was verified with nucleic acid and protein targets. The former was performed with a DNA fragment associated with the bacteria Staphylococcus aureus, and the latter using IgG antibody, a biomarker for COVID-19 screening. It is anticipated that this work will inspire studies on ultrasensitive SERS analyzers suitable for large-scale applications, which is particularly important for in vitro diagnostics and environmental studies.

We present a five-dimensional (5D) imager that is capable of simultaneous detection of the surface shape, spectral characteristics, and polarization states of macroscopic objects, and straightforwardly fuse collected data into a 5D data set. A polarized module that uses a polarized camera obtains polarized images, while a 3D hyperspectral module reconstructs the target as a 3D point cloud using a fringe projection technique. A liquid-crystal tunable filter is placed in front of the camera of this module to acquire spectral data that can be assigned to corresponding point clouds directly. The two modules are coupled by a dual-path configuration that allows the polarization information to be merged into a comprehensive point cloud with spectral information, generating a new 5D model. The 5D imager shows excellent performance, with a spectral resolution of 10 nm, depth accuracy of 30.7 µm, and imaging time of 8 s. Sample experiments on a toy car with micro scratch defects and a yellowing plant are presented to demonstrate the capabilities of the 5D imager and its potential for use in a broad range of applications, such as industrial manufacturing inspection, plant health monitoring, and biological analysis.

Security actors are important actors in the international community’s efforts to support peace in fragile contexts. Their activities affect not only the immediate security conditions in fragile contexts, but also the conditions for humanitarian assistance, development co-operation and peacebuilding. This paper explores the relationship between security actors and the broader international community in fragile contexts. It argues that security actors are needed to build peace in many fragile contexts, but that they can only contribute to peace where their activities are coherent with and complemented by appropriate civilian engagement. In doing so, it assists Development Assistance Committee members in their efforts to operationalise the Humanitarian-Development-Peace Nexus and to step up efforts to prevent conflict and build peace in fragile contexts. The paper is one of ten working papers supporting States of Fragility 2020 and together with Diplomacy and peace in fragile contexts, Conflict prevention in fragile contexts, and Peacebuilding in fragile contexts provides comprehensive background to Chapter 2 on peace in States of Fragility 2020.

This analysis of the 2020 OECD multidimensional fragility framework is a background paper for States of Fragility 2020. It provides a snapshot of the state of fragility in the world today, paying particular attention to the 57 fragile contexts on the framework. The paper starts by unpacking the heterogeneity among fragile contexts. It then reviews the layers, trajectories and clusters of fragility. Thinking in systems, and the states of fragility within systems, provides a conceptual foundation to interpret this analysis and guide targeted and differentiated approaches to engagement in fragile contexts. Focusing international policy attention on these fragile contexts is important to ensure sustainable development progress that leaves no one behind.

Diplomats and other diplomatic actors serve as the primary political actors in fragile contexts, both for OECD Development Assistance Committee members and the broader international community. They directly contribute to immediate and long-term peace, and their broad political network and knowledge positions them as a nodal point for effective and inclusive humanitarian, development and peace action in fragile contexts. This paper examines three different functions diplomatic actors assume that contribute to peace in fragile contexts: diplomacy as global governance, diplomats as peacebuilders and diplomats as facilitators. This paper is one of ten working papers supporting States of Fragility 2020. It works together with Security actors in fragile contexts, Conflict prevention in fragile contexts, and Peacebuilding in fragile contexts to provide comprehensive background to Chapter 2 on peace in States of Fragility 2020.

This study confronted the classical idea that generalized prejudice is rooted in a cognitive tendency to sort reality into rigid and simple categories with the more recent idea that prejudice is shaped by moral intuitions. In a diverse Swedish sample ( N = 430), moral absolutism was more strongly associated with generalized prejudice against derogated and dissident (but not dangerous) groups than were other aspects of intolerance of ambiguity. But there was little direct association between any aspect of intolerance of ambiguity and generalized prejudice once indirect relations through binding moral intuitions (which elevated prejudice) and individualizing moral intuitions (which decreased prejudice) had been taken into account. These findings suggest that intolerance of ambiguity is associated with generalized prejudice mainly insofar as it leads to a distinctly moral dichotomization of persons into categories such as insiders and outsiders, law-abiding citizens and deviants, and the righteous and the impure.

A four-dimensional hyperspectral imager (FDHI) that combines fluorescence spectral detection and 3D surface morphology measurement is proposed. The FDHI consists of a hyperspectral line-scanner, a line structured light stereo vision system, and a line laser. The line laser is used as both the excitation light for the fluorescence and the scanning light line for the 3D profiling. At each scanning step, the system collects both fluorescent and 3D spatial data of the irradiated line region, which are fused to 4D data points based on a line mapping relationship between the datasets, and by scanning across the measurement object, a complete 4D dataset is obtained. The FDHI shows excellent performance with spatial and spectral resolution of 26.0 µm and 3 nm, respectively. The reported FDHI system and its applications provide a solution for 4D detection and analysis of fluorescent objects in meters measurement range, with advantage of high integration as two imaging modules sharing a same laser source.

A graphene–bimetal plasmonic platform for surface plasmon resonance biosensing with ultra-high sensitivity was proposed and optimized. In this hybrid configuration, graphene nanosheets was employed to effectively absorb the excitation light and serve as biomolecular recognition elements for increased adsorption of analytes. Coating of an additional Au film prevents oxidation of the Ag substrate during manufacturing process and enhances the sensitivity at the same time. Thus, a bimetal Au–Ag substrate enables improved sensing performance and promotes stability of this plasmonic sensor. In this work we optimized the number of graphene layers as well as the thickness of the Au film and the Ag substrate based on the phase-interrogation sensitivity. We found an optimized configuration consisting of 6 layers of graphene coated on a bimetal surface consisting of a 5 nm Au film and a 30 nm Ag film. The calculation results showed the configuration could achieve a phase sensitivity as high as 1 . 71 × 1 0 6 deg/RIU, which was more than 2 orders of magnitude higher than that of bimetal structure and graphene–silver structure. Due to this enhanced sensing performance, the graphene–bimetal plasmonic platform proposed in this paper is potential for ultra-sensitive plasmonic sensing.

A dual-mode microscopic hyperspectral imager (DMHI) combined with a machine learning algorithm for the purpose of classifying origins and varieties of Tetrastigma hemsleyanum (T. hemsleyanum) was developed. By switching the illumination source, the DMHI can operate in reflection imaging and fluorescence detection modes. The DMHI system has excellent performance with spatial and spectral resolutions of 27.8 μm and 3 nm, respectively. To verify the capability of the DMHI system, a series of classification experiments of T. hemsleyanum were conducted. Captured hyperspectral datasets were analyzed using principal component analysis (PCA) for dimensional reduction, and a support vector machine (SVM) model was used for classification. In reflection microscopic hyperspectral imaging (RMHI) mode, the classification accuracies of T. hemsleyanum origins and varieties were 96.3% and 97.3%, respectively, while in fluorescence microscopic hyperspectral imaging (FMHI) mode, the classification accuracies were 97.3% and 100%, respectively. Combining datasets in dual mode, excellent predictions of origin and variety were realized by the trained model, both with a 97.5% accuracy on a newly measured test set. The results show that the DMHI system is capable of T. hemsleyanum origin and variety classification, and has the potential for non-invasive detection and rapid quality assessment of various kinds of medicinal herbs.

We propose a confocal hyperspectral microscopic imager (CHMI) that can measure both transmission and fluorescent spectra of individual microalgae, as well as obtain classical transmission images and corresponding fluorescent hyperspectral images with a high signal-to-noise ratio. Thus, the system can realize precise identification, classification, and location of microalgae in a free or symbiosis state. The CHMI works in a staring state, with two imaging modes, a confocal fluorescence hyperspectral imaging (CFHI) mode and a transmission hyperspectral imaging (THI) mode. The imaging modes share the main light path, and thus obtained fluorescence and transmission hyperspectral images have point-to-point correspondence. In the CFHI mode, a confocal technology to eliminate image blurring caused by interference of axial points is included. The CHMI has excellent performance with spectral and spatial resolutions of 3 nm and 2 µm, respectively (using a 10× microscope objective magnification). To demonstrate the capacity and versatility of the CHMI, we report on demonstration experiments on four species of microalgae in free form as well as three species of jellyfish with symbiotic microalgae. In the microalgae species classification experiments, transmission and fluorescence spectra collected by the CHMI were preprocessed using principal component analysis (PCA), and a support vector machine (SVM) model or deep learning was then used for classification. The accuracy of the SVM model and deep learning method to distinguish one species of individual microalgae from another was found to be 96.25% and 98.34%, respectively. Also, the ability of the CHMI to analyze the concentration, species, and distribution differences of symbiotic microalgae in symbionts is furthermore demonstrated.

A 187 fs pulse laser with 2.3 W of output power at 1560 nm is built for second-harmonic generation (SHG), which is the highest average power output reported from an all-polarization-maintaining single-mode Er-doped chirped pulse amplification system. By subsequently using an MgO-doped periodically poled lithium niobate (MgO:PPLN) crystal as frequency doubler, a 183 fs pulse laser with 1.1 W output power at 778 nm is generated. Benefitting from a polarization-stable fundamental laser input and the temperature control of the PPLN crystal, the power fluctuation of the frequency doubled laser is less than 0.5% during 24 h. To the best of our knowledge, the 1.1 W output at 780 nm band is also the highest average power generated from a frequency doubled femtosecond Er-doped fiber laser.

A 4D surface shape measurement system that combines spectral detection and 3D surface morphology measurements is proposed, which can realize high spectral resolution and great depth accuracy (HSDA system). A starring hyperspectral imager system based on a grating generates precise spectral data, while a structured light stereovision system reconstructs target morphology as a 3D point cloud. The systems are coupled using a double light path module, which realize point-to-point correspondence of the systems’ image planes. The spectral and 3D coordinate data are fused and transformed into a 4D data set. The HSDA system has excellent performance with a spectral resolution of 3 nm and depth accuracy of 27.5 μm. A range of 4D imaging experiments are presented to demonstrate the capabilities and versatility of the HSDA system, which show that it can be used in broad range of application areas, such as fluorescence detection, face anti-spoofing, physical health state assessment and green plant growth condition monitoring.

Study of human pathologies and acquisition of anatomical images without any surgical intervention inside human body is possible because of magnetic resonance imaging (MRI), which is the keystone technique to characterize the psychology and neurochemistry of human body. However, for clinical trials, the study and cure of human diseases are followed by medical investigations of different animal anatomies. By employing different imaging techniques to animal anatomical models during their clinical trials yielded in exceptional image acquisition without any surgical invasion in the model, which resulted in noninvasive technique as compared to surgical invasion and opened the possibility to study human pathologies more precisely. This work exploits the notable properties of unique combination of multi-circular hybridized surface coils which can be used as hybridized magnetic metamaterial hat (HMMH). HMMH not only strengthens the uniformity of radio frequency (RF) rotational symmetry around its axis but also improves the signal-to-noise ratio (SNR) for rat’s brain imaging at 7-T MRI. We analyzed a periodic array of strongly coupled circular copper coils attached on circular coil shaped printed circuit board (PCB) substrate. In the design, some copper coils were inspired by the slot cavity loaded with parametric elements (capacitor and inductor). In addition, coils in the form of HMMH exploited the advantages of the hybrid modes which exhibited better and deeper RF sensitivity into the region of interest (ROI) as compared to single loop RF coil by exciting two Eigen modes simultaneously which resulted in homogenized magnetic field (B-field) and enhanced SNR at ROI. At resonance, the value of relative negative permeability, μ r = −7 + j11 was achieved at 300 MHz for 7-T MRI. Furthermore, image quality at ROI was optimized by varying rat’s head position under magnetic resonance (MR) coil of MRI apparatus and in the presence or absence of HMMH. Design configuration and circuit model analysis were also done.

Magnetic resonance imaging (MRI) is the keystone technique to characterize the psychology and neurochemistry of human body. This imaging mechanism is advanced and with ample significances to detect the biological changes or diseases in human body. This work exploits the notable properties of compact/thin broadside coupled (BC) split ring resonator (SRR) metamaterial lens that can be use to enhance image quality of 1.5-T MRI systems. We analyzed two strongly coupled BC-SRR copper arrays attached on printed circuit board and loaded with parametric elements (capacitor and inductor). The significance of design is its compact thickness of 3.2 mm, its tunability at different working frequencies due to parametric elements and it places no restrictions on MR coil designing as proposed in previous work. The technique combining parametric elements, copper loops, and SRRs has not been used before for such lower working frequency. In addition, the designed lens persuades the radio frequency field’s rotational symmetry around the its axis due to the uniformly induced currents along its arrays which in results, improves the mutual inductance between BC-SRR arrays, and finally restores the amplitude of magnetic field (B) at the considered area, e.g., phantom and enhances the image quality. The negative resonance at 63.8 MHz was achieved with relative negative permeability, μ r = −1.74 − j0.0063. Furthermore, image quality inside phantom was optimized in the presence or in the absence of BC-SRR lens by the analysis of thickness variations of MR coil of MRI system.

A vertical slot LiNbO3 waveguide with an Ag nanowire and 3L MoS2 embedded in the low-refractive index slot region is proposed for the purpose of improving light confinement. We find that the proposed waveguide has a novel dielectric based plasmonic mode, where local light field is enhanced by the Ag nanowire. The mode exhibits an extremely large figure of merit (FoM) of 6.5×106, one order of magnitude larger than that the largest FoM of any plasmonic waveguide reported in the literature to date. The waveguide also has an extremely long propagation length of 84 cm in the visible wavelength at 680 nm. Furthermore, the waveguide has a low sub-micro bending loss and can be directly connected to all-dielectric waveguides with an extremely low coupling loss. The proposed vertical slot LiNbO3 waveguide is a promising candidate for the realization of ultrahigh integration density tunable circuits in the visible spectral range.

A transmission hyperspectral microscopic imager (THMI) that utilizes machine learning algorithms for hyperspectral detection of microalgae is presented. The THMI system has excellent performance with spatial and spectral resolutions of 4 µm and 3 nm, respectively. We performed hyperspectral imaging (HSI) of three species of microalgae to verify their absorption characteristics. Transmission spectra were analyzed using principal component analysis (PCA) and peak ratio algorithms for dimensionality reduction and feature extraction, and a support vector machine (SVM) model was used for classification. The average accuracy, sensitivity and specificity to distinguish one species from the other two species were found to be 94.4%, 94.4% and 97.2%, respectively. A species identification experiment for a group of mixed microalgae in solution demonstrates the usability of the classification method. Using a random forest (RF) model, the growth stage in a phaeocystis growth cycle cultivated under laboratory conditions was predicted with an accuracy of 98.1%, indicating the feasibility to evaluate the growth state of microalgae through their transmission spectra. Experimental results show that the THMI system has the capability for classification, identification and growth stage estimation of microalgae, with strong potential for in-situ marine environmental monitoring and early warning detection applications.

External temperature variations inevitably affect the accuracy of surface plasmon resonance (SPR) biosensors. To that end, we propose an ultra-compact label-free dual-channel SPR fiber sensor (DSPRFS) that can simultaneously measure the glucose concentration and ambient temperature in real-time. The proposed sensor is based on a unique dual-channel structure fabricated by etching a side-hole fiber (SHF), and has significantly higher spatial sensitivity than traditional SPR biosensors. After coating with silver and zinc oxide films, one channel was filled with polydimethylsiloxane (PDMS) to sense the ambient temperature, and the other channel was immobilized with glucose oxidase (GOx) enzyme for glucose sensing. The proposed sensor is analyzed theoretically, fabricated and characterized. Glucose concentration sensitivity and temperature sensitivity of the manufactured sensor sample were found to be as high as 6.156 nm/mMand -1.604 nm/°C with limits of detection (LOD) of 16.24 µM and 0.06 °C, respectively. The proposed sensor has an extremely compact structure, enables temperature compensation, and is suitable for in-situ monitoring and high-precision sensing of glucose and other biological analytes.

Multispectral imaging is an important tool for understanding composite materials in many disciplines. Spectral unmixing enables the determination of individual fluorophore distributions. Due to the dispersive nature of biomaterials the observed spectra of fluorescent dyes is unknown. Spectral unmixing can be accomplished for unknown endmember spectra using minimum volume simplex analysis (MVSA). Compressive sampling (CS) is a method to reduce the computational cost of operating on sparse data sets and can be performed efficiently using NESTA based on Nesterov’s algorithm. Here we demonstrate that NESTA and MVSA can be combined with a denoising threshold to create a compressive sampling and multispectral unmixing (CSMIU) method that enables efficient bioimaging and unmixing with high levels of accuracy (spectral angle distances (SADs) < 0.05). This CSMIU method may potentially enable broadband and in vivo bioimaging modalities. © 2016, Electromagnetics Academy. All rights reserved.

Combining upconversion nanoparticles (UCNPs) and cellulose liquid crystal (CLC) film, a microfiber relative humidity (RH) sensor with enhanced signal-to-noise ratio (SNR) is proposed. The sensor head consist of a microfiber successively coated with a UCNP fluorescent layer and a hydrophilic CLC film layer. The UCNP fluorescence spectra is located in the photonic band gap of the CLC film, resulting in mirrorless low threshold lasing emission. The addition of the CLC film enhances the SNR by 12 dB. The RH response and the temperature-insensitivity are both experimentally verified. The sensitivity of the proposed sensor is 284.75 pm/%RH. It is a promising structure for highly sensitive and accurate RH monitoring.

The ability to control the scattering property of an object is important in many applications. In this paper, we propose and study the scattering characteristics of a circular array of split-ring resonators (SRRs). By calculating the scattered energy spectrum, we show that the proposed structure has a localized surface plasmon resonance like behavior, which makes it useful as a super scatterer. Furthermore, in a special case, the proposed structure exhibits transparency to the illuminated waves, i.e., it does not scatter any energy at all and thus acts as a zero electromagnetic scattering object.

Heparan sulfate (HS) proteoglycans influence embryonic development through interactions with growth factors and morphogens. The interactions depend on HS structure, which is largely determined during biosynthesis by Golgi enzymes. NDST (glucosaminyl N-deacetylase/N-sulfotransferase), responsible for HS N-sulfation, is a key enzyme directing further modifications including O-sulfation. To elucidate the roles of the different NDST isoforms in HS biosynthesis, we took advantage of mice with targeted mutations in NDST1 and NDST2 and used liver as our model organ. Of the four NDST isoforms, only NDST1 and NDST2 transcripts were shown to be expressed in control liver. The absence of NDST1 or NDST2 in the knock-out mice did not affect transcript levels of other NDST isoforms or other HS modification enzymes. Although the sulfation level of HS synthesized in NDST1-/- mice was drastically lowered, liver HS from wild-type mice, from NDST1+/-, NDST2-/-, and NDST1+/- / NDST2-/- mice all had the same structure despite greatly reduced NDST enzyme activity (30% of control levels in NDST1+/- / NDST2-/- embryonic day 18.5 embryos). Enzymatically active NDST2 was shown to be present in similar amounts in wild-type, NDST1-/-, and NDST1+/- embryonic day 18.5 liver. Despite the substantial contribution of NDST2 to total NDST enzyme activity in embryonic day 18.5 liver (approximately 40%), its presence did not appear to affect HS structure as long as NDST1 was also present. In NDST1-/- embryonic day 18.5 liver, in contrast, NDST2 was responsible for N-sulfation of the low sulfated HS. A tentative model to explain these results is presented.

Optical directional couplers and Mach-Zehnder interferometers employing surface plasmon polaritons are proposed and their characteristics are analyzed numerically using a finite-difference time-dom ...

New types of Bragg reflectors, multilayered periodic structures, based on alternating left-handed transmission line (LHTL) and right-handed transmission line (RHTL) are proposed. These new structures based on ideal microstrip TLs and L-C lumped elements, are designed and analyzed. We report on unusual narrow transmission bands in such kind of structures. In such multilayered structures both Bragg reflectance and the Fabry-Perot resonance exist and the phenomenon of unusual transmission is a result of competition between these two transmission effects, in which the Fabry-Perot resonance is dominant. According to our simulation results we find that this unusual transmission property exits no matter if the electrical length of the LHTL layer cancels the electrical length of the RHTL layer or not.

Using an interwoven-loop experimental design in conjunction with highly conservative linear mixed model methodology using estimated variance components, 18 genes differentially expressed between nuclear transfer (NT)- and in vitro fertilization (IVF)-produced embryos were identified. The set is comprised of three intermediate-filament protein genes (cytokeratin 8, cytokeratin 19, and vimentin), three metabolic genes (phosphoribosyl pyrophosphate synthetase 1, mitochondrial acetoacetyl-coenzyme A thiolase, and α-glucosidase), two lysosomal-related genes (prosaposin and lysosomal-associated membrane protein 2), and a gene associated with stress responses (heat shock protein 27) along with major histocompatibility complex class I, nidogen 2, a putative transport protein, heterogeneous nuclear ribonuclear protein K, mitochondrial 16S rRNA, and ES1 (a zebrafish orthologue of unknown function). The three remaining genes are novel. To our knowledge, this is the first report comparing individual embryos produced by NT and IVF using cDNA microarray technology for any species, and it uses a rigorous experimental design that emphasizes statistical significance to identify differentially expressed genes between NT and IVF embryos in cattle.

A novel numerical algorithm based on the solution of the two-dimensional effective mass equation for current-carrying scattering states in mesoscopic devices is developed. Using this while allowing for an energy dependent transmission matrix, the total charge density distribution based on all electrons injected into the device is calculated through integration over energy. By coupling this energy-resolved calculation of charge density distribution iteratively with a potential calculation a fully self-consistent calculation, which allows for accurate simulations of mesoscopic devices with arbitrary complex device geometries operating under a finite bias, is achieved. Thus it is possible to self-consistently study space charge effects in mesoscopic devices. The developed method is described and tested on a number of sample geometries.

Hyperacute rejection of porcine organs by old world primate recipients is mediated through preformed antibodies against galactosyl-α-1,3-galactose (Galα-1,3-Gal) epitopes expressed on the pig cell surface. Previously, we generated inbred miniature swine with a null allele of the α-1,3-galactosyltransferase locus ( GGTA1 ) by nuclear transfer (NT) with gene-targeted fibroblasts. To expedite the generation of GGTA1 null pigs, we selected spontaneous null mutant cells from fibroblast cultures of heterozygous animals for use in another round of NT. An unexpectedly high rate of spontaneous loss of GGTA1 function was observed, with the vast majority of null cells resulting from loss of the WT allele. Healthy piglets, hemizygous and homozygous for the gene-targeted allele, were produced by NT by using fibroblasts that had undergone deletional and crossover/gene conversion events, respectively. Aside from loss of Galα-1,3-Gal epitopes, there were no obvious phenotypic differences between these null piglets and WT piglets from the same inbred lines. In fact, congenital abnormalities observed in the heterozygous NT animals did not reappear in the serially produced null animals.

We analyze the speed limitations of optical electroabsorption modulators. We argue that modulation rate limits are closely related to quantum mechanical adiabaticity. By analyzing the breakdown of the adiabatic approximation, analytical expressions for modulation limits are found. These expressions are numerically validated. Furthermore, we discuss the constraints on the allowable modulation rate set by losses from the quantum well and transition linewidth.