An unusual initial presentation of mantle cell lymphoma arising from the lymphoid stroma of warthin tumor.

BackgroundWarthin tumors presenting concomitantly with a lymphoma is vanishingly rare with only 15 reported cases in English literature. Herein, we report an unusual initial presentation of a mantle cell lymphoma involving the lymphoid stroma of a Warthin tumor.Case presentationA seventy-seven year old otherwise healthy gentleman with a 50-pack year smoking history presents with a slowly enlarging left cheek mass. CT scan of the neck demonstrated a left parotid gland tumor measuring 3.4 cm in greatest dimension. He underwent a left superficial parotidectomy, with subsequent histopathologic examination revealing a Warthin tumor with extensive expansion of the lymphoid stroma. Flow cytometric, immunohistochemical, and cytogenetic studies of the stromal component of the tumor confirmed the presence of a mantle cell lymphoma. Clinical staging demonstrated stage IVa disease, and was considered to be at low to intermediate risk due to the slow growth of the parotid lesion. The patient is undergoing close follow up with repeat PET-CT scans at six months.ConclusionTo the best of our knowledge, this is the first well documented collision tumor between mantle cell lymphoma and a Warthin tumor. This case also brings to light the significance of thorough evaluation of the lymphoid component of Warthin tumor

Introducing algorithm portfolios to a class of vehicle routing and scheduling problem

The paper presents a comprehensive foundation and implementation of Algorithm Portfolios to solve Theater Distribution Vehicle Routing and Scheduling Problems (TDVRSP). In order to evaluate the performance of proposed approach, it has been applied to varying dimensions of theater distribution problem. In particular, eight random search metaheuristics embedded in four processors, packed to form different portfolios. Four basic algorithms- Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS) and Artificial Immune System (AIS), as well as their group theoretic counterparts have been utilized. The proposed approach also takes care of platform dependence and helps evolving a robust solution pack. The portfolio concept is shown to be computationally advantageous and qualitatively competitive over the benchmark set of problems. The paper does not only provide modeling to TDVRSP, but also aids in developing a generic solution framework for other problems of its kind

Constraints on the star formation histories of galaxies in the Local Cosmological Volume

IB is supported by an Alexander von Humboldt postdoctoral research fellowship. PK acknowledges support from the Grant Agency of the Czech Republic under grant number 20-21855S. This work benefited from the International Space Science Institute (ISSI/ISSI-BJ) in Bern and Beijing, thanks to the funding of the team ‘Chemical abundances in the ISM: the litmus test of stellar IMF variations in galaxies across cosmic time’ (Donatella Romano and Zhi-Yu Zhang).The majority of galaxies with current star formation rates (SFRs), SFRo≥10−3M⊙yr−1⁠, in the Local Cosmological Volume, where observations should be reliable, have the property that their observed SFRo is larger than their average SFR. This is in tension with the evolution of galaxies described by delayed-τ models, according to which the opposite would be expected. The tension is apparent in that local galaxies imply the star formation time-scale τ ≈ 6.7 Gyr, much longer than the 3.5–4.5 Gyr obtained using an empirically determined main sequence at several redshifts. Using models where the SFR is a power law in time of the form ∝(t − t1)η for t1 = 1.8 Gyr (with no stars forming prior to t1) implies that η = 0.18 ± 0.03. This suggested near-constancy of a galaxy’s SFR over time raises non-trivial problems for the evolution and formation time of galaxies, but is broadly consistent with the observed decreasing main sequence with increasing age of the Universe.Publisher PDFPeer reviewe

AFMB-Net: DeepFake Detection Network Using Heart Rate Analysis

With advances in deepfake generating technology, it is getting increasingly difficult to detect deepfakes. Deepfakes can be used for many malpractices such as blackmail, politics, social media, etc. These can lead to widespread misinformation and can be harmful to an individual or an institution’s reputation. It has become important to be able to identify deepfakes effectively, while there exist many machine learning techniques to identify them, these methods are not able to cope up with the rapidly improving GAN technology which is used to generate deepfakes. Our project aims to identify deepfakes successfully using machine learning along with Heart Rate Analysis. The heart rate identified by our model is unique to each individual and cannot be spoofed or imitated by a GAN and is thus susceptible to improving GAN technology. To solve the deepfake detection problem we employ various machine learning models along with heart rate analysis to detect deepfakes

The Human Resource Management Practices for the Implementation of TQM in Indian Manufacturing Industries

Purpose: Examine the association between human resource management(HRM) practices and the total quality management (TQM) practices in the meppchanical manufacturing industries. Design/Methodology/Approach: Data and information were gathered using a survey instrument. Data were collected from the managerial level employees working in the HR, quality and production departments. Collected data and information were analyzed using descriptive statistics, factor analysis and structural equation modelling.    Findings: Human resource management practices are associated with total quality management practices. The result of the study also reveals that Functional Leadership (FL), Positive Organizational Scholarship (POS), Employee Involvement (EI), Empowerment (EMP) and Employee Training (ET) are the predominant factors of human resource management. At the same time, Benchmarking (BEN), Customer Satisfaction (CS), Top Management Commitment (TMC) and Supplier Relations (SR) are the critical success factors of TQM practices. “Functional Leadership” has the most significant impact on Benchmarking. Research limitations/implications: The empirical research was on mechanical manufacturing industries in India only. Further, the study can be extended to other sectors to gather relevant TQM and HRM associations. Practical implications: Successful implementation of HRM practices enhances employees' motivation level; this will significantly help to implement the organization's TQM practices. Overall implementation of HRM and TQM practices will improve employee satisfaction and customer satisfaction level and continuous improvement. Originality/value: The research tender imminent into associations between HRM and TQM practices focusing on Indian manufacturing organizations. This conceptual framework is a valuable reference for future research

Formation of robust and completely tunable resonant photonic band gaps

We identify different types of the photonic band gaps (PBGs) of two dimensional magnetic photonic crystals (MPCs) consisting of arrays of magnetic cylinders and study the different tunability (by an external static magnetic field) of these PBGs. One type of the band gaps comes from infinitely degenerate flat bands and is closely related to those in the study of plasmonics. In addition, such PBGs are magnetically tunable and robust against position disorder. We calcualte the transmission of the PBG's and found excellent agreement with the results of the photonic band structure calculation. Positional disorder of the lattice structure affects the different types of PBGs differently.Comment: 4 pages, 5 figure

Growth, mortality and stock assessment of Arius arius (Hamilton, 1822) from Hooghly-Matlah estuary, West Bengal

302-309The growth, mortality, and stock assessment of Arius arius were estimated based on monthly length-frequency analysis data collected from the Hooghly-Matlah estuary of West Bengal, India from April 2017 to March 2018. The estimated growth parameters were as L∞ = 278 mm, K = 0.97 yr-1, and t0 = -0.0889 years. The different mortality coefficients Z, M, and F were obtained as 5.25 yr-1, 1.79 yr-1, and 3.46 yr-1, respectively. The calculated exploitation ratio (E) was found as 0.66, and the M/K value as 1.845 indicating overexploitation of the fish. The recruitment was found throughout the year with two peaks and the value of Lc was found at 56.00 mm. The estimated virtual population analysis (VPA) indicated that the highest fishing mortality (F) of 3.4499 was observed at the 190-200 mm length class, followed by 3.2393 from the 180-190 mm length class. The fishery was found at the overexploitation level and measures are needed to regulate it for promoting its sustainability

Relationship between otolith morphometry and fish size of Otolithoides pama (Hamilton, 1822) from Hooghly-Matlah estuary, India

1636-1642The correlation between sagitta otolith morphometry (length, weight, and breadth) and weight of Otolithoides pama (Hamilton, 1822) occurring in the Hooghly-Matlah estuary of West Bengal was examined for one year (February 2017 to January 2018). The sagitta otoliths were extracted, cleaned, photographed, and measured. Otolith length, weight, and breadth were recorded for each pair of sagittae. The length and weight of the fish sample, as well as those of otoliths, ranged from 51 to 327 mm, 1.1 to 270 g, 2.0 to 13.9 mm, and 0.0085 to 0.756 g, respectively. A linear relationship existed between the length and weight of otolith with the length of fish. The relationship between total fish length (TL) and otolith length (OL) was recorded as TL = 0.038 (OL) + 0.123 (R2 = 0.799), that of total fish length (TL) and otolith weight (OW) being TL = 0.025 (OW) - 0.221 (R2 = 0.887), that of total fish length (TL) and otolith breadth being TL = 0.031 (OB) + 0.089 (R2 = 0.781). The morphometric relationships indicated that length, weight, and breadth of otolith exhibited a high correlation with the total length of fish

Phytoremediation: green to clean environmental heavy metal pollution

Many natural processes and anthropogenic activities lead to the persistent accumulation of non-biodegradable heavy metals in the environment. This contamination further has the potential to enter the food chain by a process called bioaccumulation and further, the concentration of heavy metal raises exponentially from lower to higher trophic levels as it is consumed called biomagnification. With the perspective of the consequences associated with heavy metal toxicity including risks to ecosystem and human health (mutagenic, carcinogenic, and teratogenic), the reclamation of toxic accumulates in soil and water is of paramount importance. Presently, clean-up technologies for heavy metals primarily concentrate on mitigating toxicity using physicochemical and mechanical methods such as soil incineration, excavation, landfilling, soil washing, solidification, and the application of electric fields. However, these are expensive, time-consuming, and also result in destructive changes to soil's physicochemical and biological properties, causing secondary pollution to the soil ecosystem. Therefore, the use of the inherent plant’s ability to absorb ionic compounds even at low concentrations near the soil-root interface can be effectively employed as a strategy to extract and remove or lower the bioavailable toxic metals and this phenomenon is called phytoremediation

Interaction of Pyrrolobenzodiazepine (PBD) Ligands with Parallel Intermolecular G-Quadruplex Complex Using Spectroscopy and ESI-MS

Studies on ligand interaction with quadruplex DNA, and their role in stabilizing the complex at concentration prevailing under physiological condition, has attained high interest. Electrospray ionization mass spectrometry (ESI-MS) and spectroscopic studies in solution were used to evaluate the interaction of PBD and TMPyP4 ligands, stoichiometry and selectivity to G-quadruplex DNA. Two synthetic ligands from PBD family, namely pyrene-linked pyrrolo[2,1-c][1,4]benzodiazepine hybrid (PBD1), mixed imine-amide pyrrolobenzodiazepine dimer (PBD2) and 5,10,15,20-tetrakis(N-methyl-4-pyridyl)porphyrin (TMPyP4) were studied. G-rich single-stranded oligonucleotide d(5′GGGGTTGGGG3′) designated as d(T2G8), from the telomeric region of Tetrahymena Glaucoma, was considered for the interaction with ligands. ESI-MS and spectroscopic methods viz., circular dichroism (CD), UV-Visible, and fluorescence were employed to investigate the G-quadruplex structures formed by d(T2G8) sequence and its interaction with PBD and TMPyP4 ligands. From ESI-MS spectra, it is evident that the majority of quadruplexes exist as d(T2G8)2 and d(T2G8)4 forms possessing two to ten cations in the centre, thereby stabilizing the complex. CD band of PBD1 and PBD2 showed hypo and hyperchromicity, on interaction with quadruplex DNA, indicating unfolding and stabilization of quadruplex DNA complex, respectively. UV-Visible and fluorescence experiments suggest that PBD1 bind externally where as PBD2 intercalate moderately and bind externally to G-quadruplex DNA. Further, melting experiments using SYBR Green indicate that PBD1 unfolds and PBD2 stabilizes the G-quadruplex complex. ITC experiments using d(T2G8) quadruplex with PBD ligands reveal that PBD1 and PBD2 prefer external/loop binding and external/intercalative binding to quadruplex DNA, respectively. From experimental results it is clear that the interaction of PBD2 and TMPyP4 impart higher stability to the quadruplex complex