46 research outputs found

    Low-Temperature Thermoelectric Performance and Optoelectronic Properties of Monolayer of WX2N4(X = Si, Ge)

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    We investigated the thermoelectric properties of the 2D monolayer of WX2N4 using Density Functional Theory combined with Boltzmann Transport Equation. We obtained an outstanding thermoelectric figure of merit of 0.91 at 400K for p-type WGe2N4, whether it showed a ZT value of 0.56 for n-type at the same temperature. On the other hand, the WSi2N4 showed significantly low ZT at room temperature.Comment: 16 pages, 9 figure

    Mechanization of dairy farming in Bangladesh

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    The mechanization status of dairy farming in Bangladesh is not mentionable. In every steps of the farming operation, indigenous systems have been practiced in most of the farms. This study has been conducted to assess mechanization status in dairy farming. The selected areas of this study were Bangladesh Agricultural University (BAU) dairy farm, Mymensingh, Rural Development Academy (RDA) dairy farm, Bogra and four small, four medium and two large farms in Sirajganj district. Most mechanized RDA dairy farm and rest of the non-mechanized farms were selected for this study. The field survey was conducted by interviewing identified sample respondents with pre-determined interview schedules to cover all selected locations. Most of the farms have no specific designed farm building with specific space per animal, feeding alley, manger, gutter and drainage system, ventilation system. Even the manure management system in study area was very poor. A biogas plant can utilize manure properly. Milking machine and chopper machine were only found in BAU and RDA dairy farms. Spacing per animal for dairy cow was 3.65 m2, for pregnant cow was 9.30 m2, for dry cow or heifer was 1.37 m2, and for calf was 1.31 m2 respectively. Mangers in a pen barn were about 0.5-1.25 m wide and 0.5-1 m depth which varies for dairy cow, heifer, calf, and bull individually. All farms in study areas found natural ventilation system. Concentrates require per day for dairy cow, dry cow, heifer, bull calf, cow calf and mature bull were 3.4, 2.2, 1.2, 0.5, 1.01 and 5.2 kg respectively. The amount of maize for bull is 2.4 kg, for dairy cow is 1.4 kg and lowest amount for bull calf is 140 g per head. Due to lack of knowledge and unfamiliarity farmers do not accept machinery like milking machine, chopper machine etc. Installation of partial mechanization can contribute to convert indigenous into modernization with gross productivity of dairy farming systems in Bangladesh

    A green open access optical distribution network with incremental deployment support

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    This paper proposes an optical distribution network (ODN) architecture for open access networks. The proposed scheme ensures co-existence of multiple business partners (BPs) e.g., service, network equipment, and infrastructure providers at different levels of the distribution network, along with physicallayer security. Further, physical-layer isolation is provided to each subscriber, preventing network disruption by malicious subscribers. The proposed open access ODN supports BPs with different granularities (sizes) and discourages monopoly; thus, allowing multiple BPs to co-exist. It also supports incremental deployability (ID) which allows the BPs to cope with an expanding user base. Thus, small BPs can take up a market share with reasonable initial investment and grow with differential expenditures. ID further allows us to incrementally scale up the power consumption as a function of the network load, making the architecture green. The proposed ODN is based on a passive optical network (PON) architecture resulting in low operational expenditures (OpEx) and high availability. Besides a new ODN architecture, a novel architecture for the optical line terminal (OLT), based on hybrid time and wavelength-division multiplexing (TWDM), is proposed. The BPs can adopt typical TWDM, wavelength division multiplexing, or the TWDM-based OLT architecture (introduced in this paper) over the proposed ODN

    Physical and mechanical properties of Albizia procera glulam beam

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    This research was done to evaluate the feasibility of using Albizia procera for manufacturing glulam beams. The physical and mechanical properties of the A. procera glulam beam were evaluated, and these properties were compared to those of the solid A. procera solid timber. The A. procera glulam beam’s physical and mechanical properties were all superior to solid A. procera timber. In comparison to A. procera solid timber, A. procera glulam’s density, water absorption (WA), linear expansion (LE), and thickness swelling (TS) all improved by 11.1, 48.4, 44.6, and 37.0%, respectively. Again, compared to A. procera solid timber, the modulus of rupture (MOR) and modulus of elasticity (MOE) of the A. procera glulam beam increased by 27.6 and 29.2%, respectively. Additionally, the ASTM specifications were met by the A. procera glulam beam. As a result, based on the properties, it is possible to make A. procera glulam beams as structural timber products

    Unsupervised neural network for single cell Multi-omics INTegration (UMINT): an application to health and disease

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    Multi-omics studies have enabled us to understand the mechanistic drivers behind complex disease states and progressions, thereby providing novel and actionable biological insights into health status. However, integrating data from multiple modalities is challenging due to high dimensionality and diverse nature of data, and noise associated with each platform. Sparsity in data, non-overlapping features and technical batch effects make the task of learning more complicated. Conventional machine learning (ML) tools are not quite effective against such data integration hazards due to their simplistic nature with less capacity. In addition, existing methods for single cell multi-omics integration are computationally expensive. Therefore, in this work, we have introduced a novel Unsupervised neural network for single cell Multi-omics INTegration (UMINT). UMINT serves as a promising model for integrating variable number of single cell omics layers with high dimensions. It has a light-weight architecture with substantially reduced number of parameters. The proposed model is capable of learning a latent low-dimensional embedding that can extract useful features from the data facilitating further downstream analyses. UMINT has been applied to integrate healthy and disease CITE-seq (paired RNA and surface proteins) datasets including a rare disease Mucosa-Associated Lymphoid Tissue (MALT) tumor. It has been benchmarked against existing state-of-the-art methods for single cell multi-omics integration. Furthermore, UMINT is capable of integrating paired single cell gene expression and ATAC-seq (Transposase-Accessible Chromatin) assays as well
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