Miracle-dz/UniFAR-FTUs huggingface dataset:
The Associations of Neutrophil–Lymphocyte, Platelet–Lymphocyte, Monocyte–Lymphocyte Ratios and Immune-Inflammation Index with Negative Symptoms in Patients with Schizophrenia

Neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR) and systemic immune-inflammation index (SII index) are increasingly used as indicators of inflammation in different conditions, including schizophrenia. However, their relationship with negative symptoms, including anhedonia, is largely unknown. Included were 200 patients with schizophrenia and 134 healthy controls (HC), assessed for physical anhedonia (PA), using the Revised Physical Anhedonia Scale (RPAS), and social anhedonia (SA) by the Revised Social Anhedonia Scale (RSAS). Patients were rated by the Positive and Negative Syndrome Scale (PANSS), the Clinical Assessment Interview for Negative Symptoms (CAINS) and the Brief Negative Symptom Scale (BNSS). Most of the negative symptoms were in a weak to moderate positive correlations with blood cell inflammatory ratios, namely, between NLR and MLR with PANSS negative scale, CAINS, and BNSS, and in male patients, between PLR and PANSS negative scale and CAINS. Fewer correlations were detected in females, but also in a positive direction. An exception was SA, given the negative correlation between its severity and the SII index in females, and its presence and higher PLR in males. While different negative symptoms were associated with subclinical inflammation, the relationship between SA and lower inflammatory markers deserves further exploration.
Evolution of the stable water isotopic composition of the rain sampled along Sahelian squall lines

In the Tropics, the stable isotopic composition (HDO, H$_{2}^{18}$O) of precipitation is strongly modulated by convective activity. To better understand how convective processes impact the precipitation isotopic composition, we analyze the isotopic composition of rain collected during the passage of four squall lines over the Sahel (Niamey, Niger) in August 2006 during the African Monsoon Multidisciplinary Analysis (AMMA) campaign. The high‐frequency sampling (5−10 min) of the precipitation allows us to investigate the evolution of the precipitation isotopic composition in different phases of the squall lines. Despite a large variability among the different squall lines, some robust isotopic features appear: the W shape of the δ18O evolution and the deuterium excess decrease in the first part of the stratiform zone. To understand more quantitatively how convective processes impact the precipitation isotopic composition, a simple stationary two‐dimensional transport model including a representation of cloud microphysics and isotopic fractionation is developed and forced by three‐dimensional winds retrieved from the Massachusetts Institute of Technology (MIT) radar on 11 August 2006. The model reproduces the robust observed features and a large sensitivity to the squall‐line dynamics. This model suggests that the main controlling factors of the isotopic evolution are (1) squall‐line dynamics, especially the downward advection of air at the rear of the squall lines, affecting the vapour composition and, by isotopic equilibration, the subsequent precipitation composition and (2) rain re‐evaporation. This suggests that water isotopes have the potential to better constrain squall‐line dynamics and rain re‐evaporation, and to evaluate the representation of convective processes in numerical models. Copyright © 2009 Royal Meteorological Society
Cavity Quantum Electrodynamics with Site-Controlled Pyramidal Quantum Dots in Photonic Crystal Cavities

Keywords: quantum dots ; cavity quantum electrodynamics ; microcavities ; photonic crystals ; quantum optics ; photoluminescence ; III-V semiconductors ; nanotechnology ; nanophotonics ; nanostructures ; quantum information science ; MOCVD ; Jaynes-Cummings model ; Dicke model ; Tavis-Cummings model ; Purcell effect These Ecole polytechnique federale de Lausanne EPFL, n° 5957 (2013)Programme doctoral PhysiqueFaculte des sciences de baseInstitut de physique de la matiere condenseeLaboratoire de physique des nanostructuresJury: V. Savona (president), J. Finley, T. Kippenberg, J. Mork Public defense: 2013-10-18 Reference doi:10.5075/epfl-thesis-5957Print copy in library catalog Record created on 2013-10-14, modified on 2017-05-12
Oxygen Aspects in the High-Pressure and High-Temperature Sintering of Semiconductor Kesterite Cu2ZnSnS4 Nanopowders Prepared by a Mechanochemically-Assisted Synthesis Method

We explore the important aspects of adventitious oxygen presence in nanopowders, as well as in the high-pressure and high-temperature-sintered nanoceramics of semiconductor kesterite Cu2ZnSnS4. The initial nanopowders were prepared via the mechanochemical synthesis route from two precursor systems, i.e., (i) a mixture of the constituent elements (Cu, Zn, Sn, and S), (ii) a mixture of the respective metal sulfides (Cu2S, ZnS, and SnS), and sulfur (S). They were made in each system in the form of both the raw powder of non-semiconducting cubic zincblende-type prekesterite and, after thermal treatment at 500 °C, of semiconductor tetragonal kesterite. Upon characterization, the nanopowders were subjected to high-pressure (7.7 GPa) and high-temperature (500 °C) sintering that afforded mechanically stable black pellets. Both the nanopowders and pellets were extensively characterized, employing such determinations as powder XRD, UV-Vis/FT-IR/Raman spectroscopies, solid-state 65Cu/119Sn NMR, TGA/DTA/MS, directly analyzed oxygen (O) and hydrogen (H) contents, BET specific surface area, helium density, and Vicker’s hardness (when applicable). The major findings are the unexpectedly high oxygen contents in the starting nanopowders, which are further revealed in the sintered pellets as crystalline SnO2. Additionally, the pressure–temperature–time conditions of the HP-HT sintering of the nanopowders are shown (in the relevant cases) to result in the conversion of the tetragonal kesterite into cubic zincblende polytype upon decompression.
Deep Mobile Path Prediction With Shift-and-Join and Carry-Ahead

Importance of user mobility has rapidly increased in 5G due to reduced cell sizes, management of Multi-access Edge Computing (MEC), and ultra-low latency services. Reactive nature of existing management systems is a bottleneck, and it can be solved by building proactive systems that exploit temporal characteristics of time-series mobility data to predict long-term user movement (i.e., path). However, user mobile path prediction with useable accuracy is a challenging task, particularly for lengthy target trajectories. This paper adopts general approaches to propose two models for predicting mobile path with high accuracy. Step Forward Iteration (SFI) model is based on recursive approach, whereas Encoder-Decoder (ED) model follows multi-output approach, and both the models use Long-Short Term Memory (LSTM) as the learning unit. Training and testing of these models is done on mobility datasets from the wireless network of Pangyo ICT Research Center, Korea and one of the Korean mobile operators. The experiment results show viability of the proposed models for leveraging mobile network management, as they outperform state-of-the-art GRU with attention (GRU-ATTN) and Transformer Network (TN) models. The highest prediction accuracies achieved for 3, 5, and 7 steps of target sequences (i.e., predicted mobile path) in the campus dataset are 96%, 90%, and 87%, respectively.
Quantum manipulation of nitrogen -vacancy centers in diamond: From basic properties to applications

This thesis presents works not only to understand the spin degree of freedom present in the nitrogen-vacancy defect in diamond: its internal structure and its relation to its environment, but also to find novel applications of it in metrology. First, a mathematical model is develop to understand how this defect couples to a nuclear spin bath of Carbon 13 which constitutes the main dephasing mechanism in pure natural diamond. Next, we demonstrate the use of this defect to sense external oscillating magnetic fields. The high sensitivity and the small sensing volume achieved when a defect is placed in a nanocrystal of few tents of nanometers in diameter, allows this sensor to detect single electronic spins and even single nuclear spins. This sensitivity, proportional to the signal to noise per readout, can be improve by the help of the environment of this defect. We show that strongly interacting nearby nuclei can enable repetitive readout schemes to improve the signal to noise of the electronic spin signal. We also combine ideas from the microscopy community such as stimulated emission depletion to enable high spatial resolution magnetometry. Finally, we develop a formalism based on group theory to understand the internal structure of defects in solids such as their selection rules and the effect of spin-spin and spin-orbit
Characteristics of Pc1-2 and IPDP Geomagnetic Pulsations during Large-Scale Undulations on the Evening Diffuse Auroral Boundary

In this paper, the properties of Pc1-2 and IPDP geomagnetic pulsations in the evening sector using the Yakut chain data and satellite measurements are described. It is shown that maximum intensity of Pc 1-2 type geomagnetic pulsations is observed at latitudes of peak precipitating proton fluxes and the pulsation amplitude is modulated with periods of 2-7 min. The large-scale undulations observed by the DMSP satellites on the equatorward diffuse auroral boundary, are formed during motion of the pulsation excitation region and a centre of the eastward electrojet to lower latitudes and during a growth of Pc 1-2 pulsation frequency. The oscillation periods of the undulation boundary are in agreement with modulation periods of Pc 1-2 amplitude, taking into account the observed wavelengths and assuming that the azimuthal velocity of their propagation is about 1-2 km/s. The results are interpreted in terms of the mechanism of spatial modulation of magnetically drifting and precipitating auroral protons.
The Unraveling Loyalty Model of Traditional Retail to Suppliers for Business Sustainability in the Digital Transformation Era: Insight from MSMEs in Indonesia

The development of fast-moving consumer goods (FMCGs) retail has demonstrated an evolution of buyer–seller interactions. In the era of digital transformation, FMCGs and micro, small, and medium enterprises (MSMEs) can easily use website applications to shop for various products from suppliers, make payments, and access a wider variety of products with more efficient delivery. However, empirical studies on loyalty drivers on B2B relationships for business sustainability in the retail industry have not received much attention. This research aimed to examine the factors that influence loyalty and analyze the mediating role of MSME loyalty by discussing a new conceptual framework designed based on the buyer–seller relationship theory and relational marketing. Data were collected from 500 owners or managers of FMCG retail stalls in various provinces in Indonesia and analyzed using structural equation modeling (SEM). The results showed that merchandising, website quality, commitment, and satisfaction have a positive effect on loyalty, as opposed to service quality and trust. There are also different roles in the mediating variables of trust, commitment, and satisfaction on retail store loyalty. These findings were useful for policymakers, managers, and practitioners to clarify the influence of service quality, merchandising website quality, and the role of relationship quality on loyalty in the era of digital transformation.
Heat Transfer Around Tubes in In-line Tube Banks

An experimental study has been made to investigate heat transfer and flow around tubes of in-line tube banks. Measurements were conducted for seven cylinder spacings in the Reynolds number range from 104 to 6x104. It is found that the mean heat transfer coefficient shows no essential variation with the cylinder spacing for the second and farther downstream cylinders. The flow through the tube bank deflects in the case of a very narrow cylinder spacing and the heat transfer behaviors under such situations are clarified.
Vertical cross coherence and cross bispectra between internal waves measured in a multiple‐layered ocean

Cross bispectra among a set of 17 traces of internal waves separated in increments of about 3 m show apparent nonlinear interactions over a wide range of frequency triplets. Evidence suggests that a strong peak found in the ordinary spectra of the deeper waves results at least in part through acquisition of energy by nonlinear interaction with numerous other lower-energy components. There is also evidence of non-linear interaction between two components of like frequency in the presence of a third, zero frequency component.
Comparison of COVID-19 Vaccine-Associated Myocarditis and Viral Myocarditis Pathology

The COVID-19 pandemic has led to significant loss of life and severe disability, justifying the expedited testing and approval of messenger RNA (mRNA) vaccines. While found to be safe and effective, there have been increasing reports of myocarditis after COVID-19 mRNA vaccine administration. The acute events have been severe enough to require admission to the intensive care unit in some, but most patients fully recover with only rare deaths reported. The pathways involved in the development of vaccine-associated myocarditis are highly dependent on the specific vaccine. COVID-19 vaccine-associated myocarditis is believed to be primarily caused by uncontrolled cytokine-mediated inflammation with possible genetic components in the interleukin-6 signaling pathway. There is also a potential autoimmune component via molecular mimicry. Many of these pathways are similar to those seen in viral myocarditis, indicating a common pathophysiology. There is concern for residual cardiac fibrosis and increased risk for the development of cardiomyopathies later in life. This is of particular interest for patients with congenital heart defects who are already at increased risk for fibrotic cardiomyopathies. Though the risk for vaccine-associated myocarditis is important to consider, the risk of viral myocarditis and other injury is far greater with COVID-19 infection. Considering these relative risks, it is still recommended that the general public receive vaccination against COVID-19, and it is particularly important for congenital heart defect patients to receive vaccination for COVID-19.
Character association and path analysis for yield and Yeild contributing traits in greengram [Vigna radiata (L.) Wilczek]

Greengram ( Vigna radiata (L.) Wilczek) 2n= 2x = 22 is cultivated on a large scale in several parts of the world which is the third most valuable pulse crop. Pulses are the primary resource of protein to meet up the nutritional requirement of the world. The most important objective in any crop improvement programme is to increase the seed yield through development of high yielding varieties with resistance to pest and diseases. Thus during the course of Rabi 2021- 2022, an experiment was put through to determine correlation and path analysis between yield and its components of Greengram. A total of 189 F 3 progenies derived from the cross VBN2 x V2802BG along with parents and checks were utilized for the study and observed for nine quantitative characters viz., days to 50% flowering, plant height (cm), number of branches per plant, number of clusters per plant, number of pods per plant, pod length (cm), number of seeds per pod, 100 seed weight (g) and seed yield per plant (g). The results illustrated that pods per plant (0.969), clusters per plant (0.828), plant height (0.570) witnessed positive correlation coefficient with seed yield per plant which is highly significant. Pods per plant followed by plant height expressed highest positive direct effect on seed yield which is disclosed by path coefficient analysis. Thus while designing a breeding strategy foremost significance has to be given to these attributes to enhance the seed yield in greengram.
Cellulose-Based Scaffolds: A Comparative Study for Potential Application in Articular Cartilage

Osteoarthritis is a highly prevalent disease worldwide that leads to cartilage loss. Tissue engineering, involving scaffolds, cells, and stimuli, has shown to be a promising strategy for its repair. Thus, this study aims to manufacture and characterise different scaffolds with poly(ε-caprolactone) (PCL) with commercial cellulose (microcrystalline (McC) and methyl cellulose (MC) or cellulose from agro-industrial residues (corncob (CcC)) and at different percentages, 1%, 2%, and 3%. PCL scaffolds were used as a control. Morphologically, the produced scaffolds presented porosities within the desired for cell incorporation (57% to 65%). When submitted to mechanical tests, the incorporation of cellulose affects the compression resistance of the majority of scaffolds. Regarding tensile strength, McC2% showed the highest values. It was proven that all manufactured scaffolds suffered degradation after 7 days of testing because of enzymatic reactions. This degradation may be due to the dissolution of PCL in the organic solvent. Biological tests revealed that PCL, CcC1%, and McC3% are the best materials to combine with human dental pulp stem/stromal cells. Overall, results suggest that cellulose incorporation in PCL scaffolds promotes cellular adhesion/proliferation. Methyl cellulose scaffolds demonstrated some advantageous compressive properties (closer to native cartilaginous tissue) to proceed to further studies for application in cartilage repair.
Energy resolution of xenon proportional counters: Monte Carlo simulation and experimental results

The gas multiplication factor M and energy resolution R of xenon gas cylindrical proportional counters are investigated experimentally and calculated theoretically using a Monte Carlo technique to simulate the growth of single-electron-initiated avalanches. A good agreement is found between calculated and experimental data. The experimental and the calculated results are presented as a function of the reduced voltage K and the reduced anode radius Na, where N is the number density and a the anode radius. The Monte Carlo results for the intrinsic energy resolution R/sub int/ are discussed in terms of the parameter f which characterizes the statistical fluctuations of the avalanche gains. The present calculations have revealed that there is an intrinsic dependence of f on the critical value S/sub c/ of the reduced electric field at the onset of multiplication. This has enabled the parameterization of f and of the intrinsic energy resolution R/sub int/ in terms of the reduced voltage K only and has explained why, for a given range of operating values for M, energy resolution in a cylindrical proportional counter is improved for thinner anode wires and lower pressures.
PRENATAL DEVELOPMENT OF EXOCRINE PANCREAS IN CROSSBRED GOATS : A HISTOLOGICAL STUDY

Address for Correspondence: Sreeranjini. A.R. , Assistant Professor, Department of Veterinary Anatomy, College of Veterinary and Animal Sciences, Mannuthy, Thrissur, Kerala -680 651, India, Tel: +91 9447820178, E-Mail: sreeranjiniar@yahoo.com Back ground: Studies about the normal development of pancreas are beneficial in understanding its normal mode of functioning and thereby help to trace the causes of its dysfunction as in diabetes, pancreatitis or the highly fatal pancreatic cancer. The mechanisms involved in normal prenatal development of exocrine pancreas in goats are poorly understood. Purpose: The present study was conducted with an aim of contributing some useful information in the field of developmental and pancreatic biology. Methods and Results: For the present study, the goat embryos from second to fifth month of prenatal life, collected from clinics and farms of Kerala Veterinary and Animal Sciences University and those available in the museum of Department of Veterinary Anatomy, College of Veterinary and Animal Sciences, Mannuthy, Kerala, India were utilized. Samples were fixed in 10% neutral buffered formalin and Bouin’s solution and were processed for light microscopic histological studies. Sections of 5-7μ thickness were cut on a rotary microtome, stained using various routine and special techniques and were examined under Leica DM 2000 LED microscope. During second month of prenatal development, the exocrine pancreas comprised ductules of varying size dispersed within the mesenchyme of both pancreatic primordia. As age advanced and the pancreatic primordia fused, the number and size of ductules increased and developed acini at their end. Later the pancreatic parenchyma was divided into lobules containing groups of acini, blood vessels and intralobular ducts. The present study revealed that the duct system of exocrine pancreas developed before the formation of acini and the number of ducts increased mainly by branching. Acini developed by the third month of development while distinct lobulation could be noticed in the fourth month of development. The arrangement of lobules, duct system and acini in the fifth month of foetal life indicated the development of a well-organized exocrine pancreas in goats in the prenatal life itself. Potential implications: The results can also be compared to human data for furthering the knowledge of human biology and medicine.
Development of Crash Avoidance Technology for Turbo-molecular Pumps

In this study, the Crash Avoidance Technology (CAT) for Turbo-molecular Pumps (TMPs) is developed. The mechanism of CAT is to handle the axial lift force, exerted by a large amount of gas as the high-speed impeller rotor of Turbo-Molecular Pump (TMP) is instantaneously exposed to the atmosphere, by immediately adjusting the magnetic force induced by the axial magnetic bearing. As the axial force induced by the air to the rotor is reduced, the current supplied to the axial magnetic bearing is adjusted back to the normal value by the controller of CAT. Not only the coils of AMB are prevented from being burned out, but energy consumption is reduced.