188 research outputs found
Designing the Business Model of Herbal Pharmaceutical Knowledge based Companies
No full textToday, research has indicated Knowledge based companies as a potential area in promoting knowledge economy, and due to the substantial added-value they make in the knowledge economy of the countries, these companies play a pivotal role in producing national income. Considering the novelty of the field of designing business models for herbal pharmaceutical Knowledge based companies and the importance of these companies among Knowledge based companies on the one hand, and the lack of academic research on exploring these companies on the other hand, the need for a comprehensive business model to help understand the components of herbal pharmaceutical Knowledge based companies seems urgent. This study aimed at identifying and prioritizing the components of business models and also structuring a business model of herbal pharmaceutical Knowledge based companies around these components. The Friedman test was used to prioritize the importance of the components of Knowledge based companies' business models. The statements of the present study's questionnaire were collected from the literature and the experts' opinions, too. Out of the 130 distributed questionnaires, 119 were collected which were analyzed by employing the Cochran test of the SPSS Statistics software. The components of key activities with the mean ranking of 6.76, cost structure with 6.09, and key resources with 6.06 were the most important components and customer relationships with 5.67, value propositions with 5.45, key partnerships with 4.10, distribution channels with 4.04, customer segment with 3.60, and revenue streams with 3.24 were the least important ones.
Research paper
Keywords: Business model, Knowledge based companies, Herbs, Friedman’s test
Reference to this paper should be made as follows: Asadnezhad, M., Hejazi, R., Akbari, M. & Hadizadeh, E. (2017). Designing the Business Model of Herbal Pharmaceutical Knowledge based Companies, Journal of Entrepreneurship, Business and Economics, 5(2), 47–63
ASSESSMENT OF REJUVENATION TECHNOLOGY AND IPNM IN AONLA ORCHARD: A WAY TOWARDS TRANSFORMATION & CONSERVATION OF SENILE AND UNPRODUCTIVE ORCHARD
No full textPresent study was carried out to rejuvenate a 15- year old unproductive senile Aonla orchard at the Horticulture farm of Krishi Vigyan Kendra, P.G. College Ghazipur, U.P. during 2010 to 2015 to assess the Rejuvenation technology in location specific condition for creating awareness in farming community of the Ghazipur district through demonstration. Rejuvenation practices including top working with improved cultivar Narendra Aonla 6 and Narendra Aonla-7 along with IPNM were applied on selected trees. Pooled fruit yield data of experiment indicated that the yield in initial year was low in Top worked plants T1 (24.90 kg/tree) and pruned plants T2 (25.50 kg/tree) as compared to farmers practice T3 (Control) yield i.e.27.00 kg /tree. But due to profuse bearing in subsequent production year i.e. 2014 to 20115 paradigm shift in production was observed. The increased yield of T1 and T2 were observed much higher 90.20 per cent and 44.80 per cent respectively over farmers practice(Control:T0). However, economic analysis revealed that B:C ratio were reported higher in T1 (5.8) than the T 2(4.44) and farmers practice T3(3.27). The technology was demonstrated to farmers by organizing field visit time to time to orient the grower
Application of V<sub>2</sub>O<sub>5</sub>-ZnO Nanocomposite for Humidity Sensing Studies
No full text
Response of Nutrient Management on Yield and Economics in Potato-Based Cropping System in Eastern Uttar Pradesh, India
No full textA field experiment was conducted during 2019-20 at Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.) during kharif, rabi and summer season to judge the “effect of nutrient management on potato-based cropping system”. The experiment was laid out in randomized block design with three replications. The soil of experimental field was silt loam, having low organic carbon (0.31%), available N (140 kg/ha), available P (15.6 kg/ha) and available K (246.5 kg/ha). The rice variety NDR - 97, potato variety Kufri Khyati and bottle gourd variety Narendra Rashmi were planting/sowing in the respective seasons. Recommended dose of fertilizers (NPK) for rice (120:60:60), potato (150:100:120) and bottle gourd (60:40:40) were applied. For soil test basis application of N have to be increased by 30% for low fertility soil (available N). The result revealed that maximum yield like rice grain (3.8 t ha-1), potato tuber (35.42 t ha-1) and bottle gourd (30.40 t ha-1) were got under T8 treatment (N, P and K applied on soil test basis), while minimum in T1 plot (control plot). The highest net return and B:C ratio in rice (Rs 29519 and 1.21), potato (Rs 207040 and 2.68) and bottle gourd (Rs 135003 and 7.81) were recorded under T8 treatment (N, P and K nutrients applied on soil test basis). While minimum net return with T1 plot (control plot) in each season during investigation
Structural and Moisture Sensing Properties of WO 3 -ZnO Nanocomposites Synthesized by a Soft Chemical Route
No full textIMPROVED WEIGHTED CLUSTERING ALGORITHM FOR MOBILE AD HOC NETWORKS
No full textABSTRACT The proposed weight-based distributed clustering algorithm takes into consideration the ideal degree, transmission power, mobility, and battery power of mobile nodes. We try to keep the number of nodes in a cluster around a pre-defined threshold to facilitate the optimal operation of the medium access control (MAC) protocol. The non-periodic procedure for cluster head election is invoked on-demand, and is aimed to reduce the computation and communication costs. The cluster heads, operating in "dual" power mode, connects the clusters which help in routing messages from a node to any other node. Key words: ad hoc networks, clusters, dominant set, load balancing INTRODUCTION Current wireless cellular networks solely rely on the wired backbone by which all base stations are connected, implying that networks are fixed and constrained to a geographical area with a pre-defined boundary. Deployment of such networks takes time and cannot be set up in times of utmost emergency. Therefore, mobile multihop radio networks, also called ad hoc or peer-to-peer networks, play a critical role in places where a wired (central) backbone is neither available nor eco-nomical to build, such as law enforcement operations, battle field communications, disaster recovery situations, and so on. Such situations demand a network where all the nodes includ-ing the base stations are potentially mobile, and communica-tion must be supported untethered between any two nodes. A multi-cluster, multi-hop packet radio network architecture for wireless systems should be able to dynamically adapt itself with the changing network configurations. Cer-tain nodes, known as clusterheads, are responsible for the formation of clusters each consisting of a number of nodes (analogous to cells in a cellular network) and maintenance of the topology of the network. The set of clusterheads is known as a dominant set. A clusterhead does the resource allocation to all the nodes belonging to its cluster. Due to the dynamic nature of the mobile nodes, their association and dissociation to and from clusters perturb the stability of the network and thus reconfiguration of clusterheads is unavoidable. This is an important issue since frequent clusterhead changes adversely affect the performance of other protocols such as scheduling, routing and resource allocation that rely on it. Choosing clus-terheads optimally is an NP-hard proble
IMPROVED NODE FAILURE PREDICTION QOS ROUTING PROTOCOL WITH CLASSIFIED POWER LEVELS
No full textABSTRACT The nodes in ad hoc wireless networks or sensor networks have limited power capabilities and are prone to failure due to lack of battery power leading to frequent path breaks ,network partitions & packet losses thereby resulting in the decrease of network throughput. In this paper , we propose a new routing algorithm called node failure prediction QoS routing with classified power level(NFPQRCL) protocol, which improves the different QoS parameters such as end-to-end packet delay and the packet loss along the path. The algorithm NFPQRCL predicts the future state of a node based on its power level to decide whether the node is a good selection as a router or not .Power considerations at each of the network nodes helps in efficient utilization and saving of battery power. In this algorithm, more stable paths are selected during the route discovery process and hence QoS routing parameter could be satisfied
Low-Cost Hydrothermally Synthesized Multifunctional Rare Earth Metal Yttrium Cerium Oxide
No full textIn this study, YCeO nanocomposites were efficaciously synthesized by the hydrothermal method in the company of sodium hydroxide as a reducing agent as well as cerium nitrate and yttrium nitrate as precursors. Synthesis temperature and pressure, during hydrothermal reactions, show a critical role in governing the shape, size, oxygen vacancy attentiveness, and low-temperature reducibility in CeO2-based nanocomposites. The lattice constants of the yttrium ceria nanocomposite also are contingent upon the attentiveness of hydroxide ions which primes better morphology at low temperature and pressure. The X-Ray Diffraction (XRD) pattern of YCeO shows the cubic structure of space group Fm3m, having a density of 6.74 gm cm−3, volume of 157.81 × 106 pm3, crystallite size of 18.66 nm, and lattice strain of 0.0041, and many more structural parameters were calculated. Field Emission-Scanning Electron Microscopy (FE-SEM) and Atomic Force Microscopy (AFM) studies show the granular structure and surface roughness. Surface porosity and specific surface area were observed by Brunauer–Emmett–Teller (BET), average nanoparticle size was analyzed by the analyzer, and optical properties were observed by Fourier Transform Infrared Spectroscopy (FTIR) and UV-Visible spectroscopy in which the presence of functional and carboxyl group were analysed by FTIR and absorption wavelength 256.58 nm and band gap 3.27 eV were analysed by UV-Visible spectroscopy, lastly thermal stability of this nanoparticle was analyzed by Thermo-Gravimetric Analysis (TGA)
Structural Study of Ecofriendly Synthesized Multifunctional Rare Earth Metal Cerium Oxide
No full textCerium oxide nanoparticles (CeNPs) are used in chemical mechanical polishing/planarization, corrosion protection, solar cells, fuel oxidation catalysis, automotive exhaust treatment, and sensing. However, their synthesis process increases the likelihood of exposure, potential health effects, and ecological implications. Consequently, it is important to synthesize CeNPs in an environmentally friendly and affordable way to create a better structure. This work discusses the numerous structural properties of CeNPs and is solely concerned with their economical hydrothermal production. To comprehend the shape, FE-SEM was used, which shows the granular-like structure. The elastic characteristics of the material, like Bulk Modulus, was 177 GPa, Sher Modulus was 78 GPa, Poisson’s ratio was 0.32, and some other properties were also determined by using the FTIR spectrum, which also revealed numerous functional groups. The CeO2 XRD pattern reveals a cubic structure of the space group Fm3m with a density of 6.74 gmcm−3, a volume of 158.08 × 106 pm3, a crystallite size of 18.66 nm, a lattice strain of 0.0041, and many other estimated structural characteristics. Rietveld refinement was also performed for the refined parameters that suggest the high quality of structural parameters like R-factors, wR-factor (Rw), and Chi-squared (χ2) and for designing the crystal structure of cerium oxide nanoparticles. When examining the composition and nature of bonding materials, the structural features are of the utmost significance, as they offer a variety of information regarding the subject material’s general qualities. Excellent characteristics of nanomaterials include high chemical and physical stability, low density, and a big surface area. Nanomaterials are preferred options for the creation of brand-new, functioning membranes because of their superior qualities
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