Photon temporal modes: a complete framework for quantum information science

Field-orthogonal temporal modes of photonic quantum states provide a new framework for quantum information science (QIS). They intrinsically span a high-dimensional Hilbert space and lend themselves to integration into existing single-mode fiber communication networks. We show that the three main requirements to construct a valid framework for QIS -- the controlled generation of resource states, the targeted and highly efficient manipulation of temporal modes and their efficient detection -- can be fulfilled with current technology. We suggest implementations of diverse QIS applications based on this complete set of building blocks.Comment: 17 pages, 13 figure

Scientometric Profile of Biochemistry research in India: A Study based on Web of Science.

The paper examines 25,132 biochemistry research contributions of Indian scientists covered in the Web of Science for a period of 10 years (2004-2013). It was found that the biochemistry research is gradually growing and average annual growth rate was 36.84 per cent. The solo research was not prevalent and team research is more in the Indian biochemistry research and 97.46 per cent publications were contributed by multi- authors. It was observed that the value of co- authorship index was generally increasing and it varied from 93 to 105 during the period of study. Journal articles contribute 89.43 per cent of the total output followed by reviews (7.14 %). Indian researchers collaborate largely with the researchers of USA (2.49 %). The geographical distribution shows that Tamil Nadu, Uttar Pradesh and Delhi lead the list. The study shows that, C. Abdul Jaleel (58) and L. Pai (37) are the top ranked authors in the field. ‘Plos One’ is the top ranked journal and it published 296 papers during the study period. Academic institutions contribute more number of papers (50.26 %) followed by research institutions (28.24 %). The Lotka’s law was not found fit with the observed author productivity distribution of Indian biochemistry research

Optimal selection and investment-allocation decisions for sustainable supplier development practices

Organization’s sustainability performance is influenced by its suppliers’ sustainability performance. This relationship makes sustainable supplier development a strategic competitive option for a buyer or focal organization. When considering sustainable supplier development practices (SSDPs) adoption, organizations have to balance and consider their limited financial resources and operational constraints. It becomes necessary to both select the best SSDPs set and investment allocation among the selected SSDP set such that the organization can maximize overall sustainability performance level. In this paper, an integrated formal modeling methodology using DEMATEL, the NK model, and multi-objective linear programming model is used support this objective. The proposed methodology is evaluated in a practical sustainable supply chain field study of an equipment manufacturing company in China. Through case study, we found that the interdependency among SSDPs must be considered in SSDPs selection and investment allocation problem. Theoretical, managerial and methodology implications, conclusions, and directions for future research are also presented. © 2023, The Author(s)

PHYTOCHEMICAL SCREENING AND EVALUATION OF IN-VITRO ANTIMICROBIAL ACTIVITY OF DROSERA SPATULATA VAR BAKOENSIS- AN INDIGENOUS CARNIVOROUS PLANT AGAINST RESPIRATORY TRACT INFECTIOUS MICROBES.

Objective: In the present study, the phytochemical constituents of Drosera spatulata, have been evaluated and antimicrobial activity was screened against respiratory tract infectious microbes.Methods: The phytochemicals present in Drosera spatulata by qualitative phytochemical assays and the antimicrobial activity along with MIC, MBC and BIC were determined against S. aureus, Klebsiella pneumonia and S.Pneumonia the causative organisms of pulmonary infections, mainly effects the nasal pharynx, trachea, and lungs as well as Aspergillus niger.Results: Aqueous, ethanol, methanol extracts of thick roots, open flower and hair of Drosera spatulata var bakoensis against this pathogenic bacteria and fungi showed high zone of inhibition which estimated by disc-diffusion method as well as minimum inhibition concentration manifestation by the broth microdilution assay followed MBC and BIC. The values of MIC, MBC and BIC obtained were between 0.3-0.9, 0.36-2.25, 0.12 - 0.37 mg/mL. The results revealed that the plant extracts of Drosera spatulata var bakoensis have high potential even at low concentrations values against bacteria and fungi cultures and this results validated by the presence of high amounts of alkaloids, quinones, anthraquinones, flavonoids in the plant extracts. Conclusion: In the present study, the results showed the presence of high amounts of alkaloids, flavonoids, quninoes, anthraquinones, terpinoids in Drasera spatulata plant.  In the antibacterial and antifungal activity, the ethanol and methanol extracts significantly showed the activity against the tested respiratory disease causing bacteria and antifungal properties with zone of inhibition showed more than aqueous extracts at very low concentration

Observation of Interaction of Spin and Intrinsic Orbital Angular Momentum of Light

Interaction of spin and intrinsic orbital angular momentum of light is observed, as evidenced by length-dependent rotations of both spatial patterns and optical polarization in a cylindrically-symmetric isotropic optical fiber. Such rotations occur in straight few-mode fiber when superpositions of two modes with parallel and anti-parallel orientation of spin and intrinsic orbital angular momentum (IOAM=$2\hslash$) are excited, resulting from a degeneracy splitting of the propagation constants of the modes.Comment: 6 pages, 5 figures, and a detailed supplement. Version 3 corrects a typo and adds the journal referenc

Efficient task optimization algorithm for green computing in cloud.

Cloud infrastructure assets are accessed by all hooked heterogeneous network servers and applications to maintain entail reliability towards global subscribers with high performance and low cost is a tedious challenging task. Most of the extant techniques are considered limited constraints like task deadline, which leads Service Level Agreement (SLA) violation. In this manuscript, we develop Hadoop based Task Scheduling (HTS) algorithm which considers a task deadline time, completion time, migration time and future resource availability of each virtual machine. The Intelligent System (IS) enabled with adaptive neural computation method to assess all above attributes. Specifically, the result of Prophecy Resource Availability (PRA) method has been used to assess the status of each Virtual Machine (VM), which helps to streamline the resource wastage and increases the response time with low SLA violation rate