Transport Properties in Ferromagnetic Josephson Junction between Triplet Superconductors

Charge and spin Josephson currents in a ballistic superconductor-ferromagnet-superconductor junction with spin-triplet pairing symmetry are studied using the quasiclassical Eilenberger equation. The gap vector of superconductors has an arbitrary relative angle with respect to magnetization of the ferromagnetic layer. We clarify the effects of the thickness of ferromagnetic layer and magnitude of the magnetization on the Josephson charge and spin currents. We find that 0-\pi transition can occur except for the case that the exchange field and d-vector are in nearly perpendicular configuration. We also show how spin current flows due to misorientation between the exchange field and d-vector.Comment: 6 pages, 8 figure

An Analysis of the Effect of Temperature on Asphalt Paving in South Dakota

Temperature is an important parameter to consider for asphalt paving since this work is generally susceptible to weather due to outdoor construction. The South Dakota Department of Transportation (SDDOT) developed working day weather charts in 1998 to address the expected adverse weather days. This thesis investigated the effect of temperature on adverse weather days for asphalt paving and compared them to the value reported in the 1998 SDDOT study. Moreover, the thesis also examined how closely the maximum temperature data from project sites\u27 weekly progress reports (WPR) matched the data from the closest weather stations. When the maximum temperature (TMAX) of a day is below a certain threshold maximum temperature, that day is counted as a threshold violation (TV) day. The weather data was collected from the National Oceanic and Atmospheric Administration (NOAA) website, and the WPR data of project sites was obtained from SDDOT. Average and 7-year moving average are used to analyze the TV days. The results show that the threshold violation days are generally greater than the State average adverse weather days at 45°F threshold both annually and monthly (January, April, October). However, these violation days are generally less than the State average when the threshold is 40°F. The lift thickness of surface course must be greater than 1 inch, when the temperature during asphalt paving is between 40°F and 45°F in order to get more working days. Most of the project sites (6 out of 9) show a low percentage of maximum temperature data match with the corresponding NOAA stations. It is apparent from the analysis that that there is no direct relationship between the data match percentage, and the distance of project site and NOAA station

Investigation of a parasitic outbreak of Lernaea cyprinacea Linnaeus (Crustacea: Copepoda) in Cyprinid fish from Choghakhor lagoon

The main objectives of this study were to study the parasitic infestation of Lernaea cyprinacea in 4 cyprinids from the Choghakhor Lagoon, Chaharmahal - Bakhtyari Province, west of Iran. A total of 180 cyprinids including Cyprinus carpio (n=101), Carassius auratus (n=47), Capoeta aculeata (n=10) and Alburnus alburnus (n=22) caught, and were studied for Lernaea cyprinacea infestation. Prevalence (C. carpio 61.4, C. auratus 87.2, C. aculeata 70 and A. alburnus 68.2), intensity of infection (C. carpio range 1 to 5, mean 2.1; C. auratus range 1 to 6, mean 1.9; C. aculeata range 1 to 5, mean 2.4; A. alburnus range 1 to 2, mean 1.1), and abundance (C. carpio 1.3, C. auratus 1.6, C. aculeata 1.7 and A. alburnus 0.8) varied with the fish species. A statistically significant difference was found between infestation by L. cyprinacea and fish species (p=0.01), although no statistically significant difference was found between infestation and weight, length and age of the studied fishes (p>0.05). The prevalence was also significantly different (p=0.0) in studying seasons. Population dynamics of L. cyprinacea on fish hosts was studied. The results show that the preferred site of the parasite was body lateral surfaces followed by caudal, dorsal, pectoral and anal fins (P=0.0)

Spatial Data Analysis for Traffic Safety Network Screening

Problem - The roadway system represents a major investment, both public and private, and a valuable resource that enables mobility and accessibility to users. Due to degradation of aging infrastructure and increasing traffic, transportation agencies are seeking to effectively update or improve the system. With rising costs, tight budgets, and limited land resources, agencies are seeking effective techniques for identifying critical mobility and safety concerns. Historically, assignment of crashes to portions of the network, whether segments or intersections, has been the primary manner to link crash and road elements. Purpose – The primary goal is to explore a potentially more efficient and effective means of developing roadway connected crash cluster identification results as an input to network screening and diagnostics. Beyond this, using the data linkages, we intend to explore crash typology (e.g., severity, collision type) distributions and clusters with respect to network (traffic and roadway) characteristics. Nuance – The research uses GIS and spatiotemporal analysis techniques relying on crash locations as a basis rather than elements of the road network (e.g., intersections, non-intersections). The intent of the analysis is to develop crash clusters that can be flagged for further analysis and potential mitigation. Data – Crash, roadway geometrics, and traffic data of 5 years (2015-2019) were collected for Story County of Iowa. These readily available data are being analyzed using Geospatial Information System (GIS) and some statistical models such as the Markov Switching Models (MSM). Existing methodologies will also be used to develop results that will be compared with the new methodology. Prior Studies – There have been many network screening methods since the 1970s and the more widespread inception of computing resources. Though these methods have some advantages, they do have several shortcomings as well as detailed in the Highway Safety Manual (HSM). Due to these shortcomings, the HSM and other sources promote methods that address these shortcomings such as the Empirical Bayesian (EB) and Hierarchical Bayesian (HB) methods. Historically, assignment of crashes to segments or intersections, has been the primary manner to connect crashes and road elements. The use of GIS and spatial and temporal analysis, alternative methods for connecting crashes to the roadway network have been developed to replace the older methods like screening with additional differentiating criteria. Impact – The primary outcome of this research is the development of a new method of generating distributions and clusters of crashes along a roadway network for use in traffic safety screening. Practitioners should be able to utilize the process to develop network screening related to their jurisdictions, given sufficient and appropriate input data. Keywords –Transportation Engineering, Network screening, Crash rate, Spatial analysis, GIS, Iowa Data, Markov switching models

Spatial Data Analysis for the Development of Expected Adverse Weather Charts for Transportation Construction Projects

Problem - Seasonal and daily weather events impact construction projects across the various climate regions of South Dakota in differing fashions. Additionally, the impacts for similar weather events can impact grading, surfacing, and structural construction activities in various ways. Adverse weather conditions can cause major delays which may lead to time extensions and increase project cost. Purpose – To address these issues, South Dakota Department of Transportation (SDDOT) developed Working Day Weather Charts in 1998. However, advances in construction practices and weather prediction as well as climatic changes have occurred over the interim 25 years. This study is focused on developing updated zones, tables, charts, and recommendations for roads and bridges construction in South Dakota. Nuance – The tables and charts are planned to be developed on both weekly and monthly basis to determine the impact of adverse weather events on construction projects and for use in future contracts. Data - Weather, soil, and hydrographic data for South Dakota state are being considered for this study. The primary importance is on the weather data which is collected for 30 years (1991-2020) period from National Oceanic and Atmospheric Administration (NOAA). The important weather data parameters are temperature, snow, rainfall, and wind. The soil data have been collected from the broad-based inventory of soils and non-soil areas of the United States namely State Soil Geographic (STATSGO2). The key focus is to analyze the soil parameters in combination with adverse weather events that affect the construction of roads and bridges. The hydrographic data is focused on the peak flow at major water bodies in South Dakota that may cause flooding or ponding which affects road and bridge construction. Additionally, interviews with SDDOT personnel and construction contractors were conducted to determine factors important to the industry. Starting with data exploration of all the available data, key parameters will be analyzed to develop updated expected adverse weather day chart and updated zones. Prior Studies – A considerable amount of work has been done on effects of weather on construction type categories and various Department of Transportation agencies evaluate the use of adverse weather in contract time calculations. The Virginia Department of Transportation place contract determination guidelines online. The VDOT document provides steps in determining contract time but contained little information on the impact of adverse weather on contract time calculations. Another document from the National Research Council of Canada on construction work protocols during winter in 1971. Beyond that, a recent (2022) publication from the National Cooperative Highway Research Program (NCHRP) covers a systematic approach for determining construction contract time. However, in most papers, little information is documented on the impact of adverse weather and how to implement that in tables and charts for construction type activities across South Dakota. Impact – The results can directly help SDDOT engineers and contractors to estimate the appropriate contract time and warranted time extension due to unexpected adverse weather for variety of transportation construction projects across the diverse geographical terrains and climates of South Dakota. Keywords: Transportation, Adverse Weather, Construction, NOA

Stationary Josephson effect in a weak-link between nonunitary triplet superconductors

A stationary Josephson effect in a weak-link between misorientated nonunitary triplet superconductors is investigated theoretically. The non-self-consistent quasiclassical Eilenberger equation for this system has been solved analytically. As an application of this analytical calculation, the current-phase diagrams are plotted for the junction between two nonunitary bipolar $f-$wave superconducting banks. A spontaneous current parallel to the interface between superconductors has been observed. Also, the effect of misorientation between crystals on the Josephson and spontaneous currents is studied. Such experimental investigations of the current-phase diagrams can be used to test the pairing symmetry in the above-mentioned superconductors.Comment: 6 pages and 6 figure

Chitosan/Gamma-Alumina/Fe3O4@5-FU nanostructures as promising nanocarriers: physiochemical characterization and toxicity activity

Today, cancer treatment is an important issue in the medical world due to the challenges and side effects of ongoing treatment procedures. Current methods can be replaced with targeted nano-drug delivery systems to overcome such side effects. In the present work, an intelligent nano-system consisting of Chitosan (Ch)/Gamma alumina (gamma Al)/Fe3O4 and 5-Fluorouracil (5-FU) was synthesized and designed for the first time in order to influence the Michigan Cancer Foundation-7 (MCF-7) cell line in the treatment of breast cancer. Physico-chemical characterization of the nanocarriers was carried out using X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), vibrating sample magnetometry (VSM), dynamic light scattering (DLS), and scanning electron microscopy (SEM). SEM analysis revealed smooth and homogeneous spherical nanoparticles. The high stability of the nanoparticles and their narrow size distribution was confirmed by DLS. The results of the loading study demonstrated that these nano-systems cause controlled, stable, and pH-sensitive release in cancerous environments with an inactive targeting mechanism. Finally, the results of MTT and flow cytometry tests indicated that this nano-system increased the rate of apoptosis induction on cancerous masses and could be an effective alternative to current treatments

Waiting Time for Specialist Consultation and Visit Requested in the Emergency Department; a Cross-Sectional Study

Introduction: Waiting time in the hospital directly affects the quality of healthcare providing centers. One of the waiting times in hospital is the time spent waiting for receiving various consultations and visits requested by emergency medicine specialists from specialist services. Objective: The present study was designed and performed to assess the waiting times for receiving specialist visits and consultations requested in the emergency department based on the corresponding service in a referral hospital in Isfahan, Iran. Method: In the present cross-sectional study, patients presenting to emergency department of Dr. Shariati Hospital, Isfahan, Iran, from October 2017 to March 2018, who were in need of visit or consultation from other specialist services based on the opinion of the emergency medicine specialist, were studied. By attending the patients' bedside, the researcher filled out a checklist consisting of demographic data and waiting time of the patients and other probable related factors. Finally, raw data were entered to the computer and after correction of errors were statistically analyzed via SPSS software. Results: Overall, 400 patients with the mean age of 53.3 ± 24.3 years were included in the study, 58.8% of which were male. Mean waiting time for receiving a visit or consultation among the studied patients was 242.0 ± 202.4 (min: 5 and max: 1200) minutes. Mean waiting time for a visit or consultation did not significantly correlate with the corresponding physician being resident or on-call. However, it showed a statistically significant correlation with triage level (p = 0.013), work shift (p = 0.000), type of service requested/the specialist service asked for a consultation or visit (p = 0.049), and the consultation or visit being emergent or non-emergent (p = 0.000). In addition, emergent visits or consultations by on-call physicians had been performed significantly faster than those by resident physicians; while non-emergent visits or consultations by resident physicians had been performed significantly faster than those by on-call physicians (p = 0.001). Conclusion: The results of the present study showed that patients with triage level 2, emergent visit of consultation and a visit or consultation request in the morning or evening shift wait a shorter time for receiving the visit or consultation. In addition, neurosurgery, nephrology, and pediatrics services had the shortest waiting times, while gastroenterology, gynecology, and infectious disease services had the longest waiting times for giving the visit or consultation requested from them

Construction of Aptamer-Based Nanobiosensor for Breast Cancer Biomarkers Detection Utilizing g-C3N4/Magnetic Nano-Structure

An electrochemical aptasensor has been developed to determine breast cancer biomarkers (CA 15-3). Aptamer chains were immobilized on the surface of the electrode by g-C3N4/Fe3O4 nanoparticles, which increased the conductivity and active surface area of the electrode. X-ray diffraction analysis (XRD), Fourier-transformed infrared spectroscopy (FTIR), and transmission electron microscopy (TEM) measurements have been carried out to characterize the nanomaterials. Cyclic voltammetry, square wave voltammetry, and electrochemical impedance spectroscopy have been used to characterize the developed electrode. The results demonstrate that the modified electrode has better selectivity for CA 15-3 compared to other biological molecules. It has a good electrochemical response to CA 15-3 with a detection limit of 0.2 UmL(-1) and a linear response between 1 and 9 UmL(-1). It has been used as a label-free sensor in potassium ferrocyanide medium and as methylene blue-labeled in phosphate buffer medium. This electrode was successfully applied to analyze the serum of diseased and healthy individuals, which corroborates its high potential for biosensing applications, especially for the diagnosis of breast cancer