Miracle-dz/UniFAR-FTUs huggingface dataset:
A Design Environment for the Automated Optimisation of Low Cross-Polarisation Horn Antennas

The aggressive space mapping algorithm is used in this project for the optimisation of electromagnetic structures. This technique combines the use of fast, less accurate models with more time-consuming, high precision models in the optimisation of a design. MATLAB’s technical computing environment possesses powerful tools for optimisation as well as the graphical representation and mathematical post-processing of data. A software interface, which uses Visual Basic for Applications, is created between MATLAB and the electromagnetic solvers, CST Microwave Studio and μWave Wizard, that are used for the fine and coarse model calculations. The interface enables the direct interchange of data, which allows MATLAB to control the optimisation for the automation of the design process. The optimisation of a microwave coaxial resonator with input coupling is used to demonstrate the design environment. An accurate equivalent circuit model is available to describe the problem. The space mapping optimisation of this structure works well, with a significant improvement in the efficiency of the optimisation when compared to standard optimisation techniques. Multimode horn antennas are of interest for use as feeds in radio-astronomy telescope systems. The design of a stepped circular horn antenna in the space mapping design environment is presented. The horn’s radiation pattern is optimised for low cross-polarisation. This structure is much more complex to model than the resonator example. The generalised scattering matrix representation is used in the coarse model description. The far-fields are calculated from the aperture fields by means of the Fast Fourier Transform. Various tests confirm that the optimisation is steered in the right direction as long as the coarse model response follows the trend of the fine model response over the optimisation space. The presented design environment is a powerful tool for the automation of the design of electromagnetic structures.
Implicit Meaning of Single Word in Utusan Malaysia News Headline

News headline is the main part that will be able to attract reader to read the entire content of the news. However, there are some news headline are written by using words whose meaning is not clear. This will cause the information that they want to delivered to the reader can not be conveyed accurately and effectively. Because of that, research about news headline is done based on two objectives. The aims of this study is to identify single words that have an implicit meaning in the news headline of Utusan Malaysia newspaper and analyze the implicit meaning that found in the news headline of Utusan Malaysia newspaper. The data were be collect from April 2, 2018 until May 31, 2018. Moreover, only news that are related to the issue of the 14th General Election (GE-14) were selected as data. In addition, this study was conducted by using a descriptive qualitative approach. The research method that will used in this study is the content analysis method. Next, the data will be analyzed by using Semiotic Theory which is introduced by Charles Williams Morris (1971). The result of the study have shown that there are 15 news headline consist of single words with implicit meaning. Each single words will be analyzed through two parts which is semantic and pragmatic. The results of this analysis have shown that this theory is able to unravel this implicit meaning based on the context of the news. Therefore, this study will be able to help the reader to understand the implicit meaning that found in the news headline.
Relationship of single and double ovulations with serum progesterone concentrations and fetal numbers in Mamasani goats

Determining the effect of single versus double ovulations on progesterone concentration and luteal tissue volume is so important for better reproductive management in goats. The aim of the present study was to establish the relationship between ovulation number, luteal tissue volume and progesterone concentrations in Mamasani goats. For this purpose, the uteri and ovaries of 192 goats were collected in a slaughterhouse during the breeding and non-breeding seasons. Before slaughtering, blood samples were taken and analyzed for assaying progesterone concentrations. Study groups in the non-breeding season were: 1-single ovulation, 2-unilateral double ovulations and 3-bilateral double ovulations of non-pregnant goats. The groups in the breeding season were: 1-non-pregnant single ovulation, 2-non-pregnant unilateral double ovulations, 3-non-pregnant bilateral double ovulations, 4pregnant single ovulation with one fetus, 5-pregnant single ovulation with two fetuses, 6-pregnant unilateral double ovulations with one fetus, 7-pregnant unilateral double ovulations with two fetuses, 8-pregnant bilateral double ovulations with one fetus, and 9-pregnant bilateral double ovulations with two fetuses. Results showed that the right ovary had a pivotal role in ovulation during the non-breeding and breeding season. In both pregnant and nonpregnant gravid goats, the total volume of corpora lutea (CLs) as well as the serum progesterone concentration was higher after double ovulations. The total volume of CLs and the concentrations of serum progesterone in goats carrying two fetuses with single ovulation was significantly higher than that of animals with single ovulation and one fetus. It was concluded that although a higher concentration of progesterone in goats is associated with the total volume of luteal tissue, this level is not a reliable predictor for the number of fetuses per goat.
Decoding auditory attention from EEG using a convolutional neural network*

Brain-computer interface (BCI) systems allow users to communicate directly with a device using their brain. BCI devices leveraging electroencephalography (EEG) signals as a means of communication typically use manual feature engineering on the data to perform decoding. This approach is time intensive, requires substantial domain knowledge, and does not translate well, even to similar tasks. To combat this issue, we designed a convolutional neural network (CNN) model to perform decoding on EEG data collected from an auditory attention paradigm. Our CNN model not only bypasses the need for manual feature engineering, but additionally improves decoding accuracy (∼77%) and efficiency (∼11 bits/min) compared to a support vector machine (SVM) baseline. The results demonstrate the potential for the use of CNN in auditory BCI designs.
Passive Detuning for HCF Reduction

Geometric detuning effects are considered in this study of flow induced vibrations of the I nlet Guide Vane (IGV) row of the Purdue Transonic Compressor. The TAM -ALE3D fluid -structure interaction finite element code is used for the analysis, with the IGV and rotor rows modeled. The downstream rotor operating subsonically excites a trailing edge flapping mode in the IGV's. Two detuning strategies are evaluated: (1) decreasing the rotor -generated forcing function to the upstream IGV's, accomplished by detuning the rotor by unequal blade tangential spacing and (2) altering the IGV -rotor unsteady a erodynamic interactions, accomplished by detuning the IGV's by unequal tangential spacing. Evaluation of these strategies is quantified by the IGV unsteady aerodynamic modal force and internal IGV stresses. The unequal rotor blade row spacing produced li ttle change in the IGV stresses, while the unequal IGV row spacing was much more effective, reducing unsteady IGV stresses by a factor of six. Nomenclature
Oil Price, Exchange Rate and Stock Market Performance in Nigeria

This study examined the nexus among oil price, exchange rate and stock market performance, using the VAR based technique. The Johansen cointegration test revealed the absence of long-run relationship among the variables. The Granger causality tests showed a unidirectional relationship running from crude oil price to shares and bidirectional relationship between crude oil price and exchange rate. Shocks to crude oil market had a positive impact on shares in the rst two periods, but very minimal beyond these periods. However, a one standard deviation innovation to exchange rate had negative impact on shares, implying that exchange rate instability may bring about uncertainty in the stock market. In most cases, each variable's own shocks are the major drivers of whatever movements observed in the respective trends in the variable. Findings from the estimations using the volatility series also mimic the results from the return series. The ndings imply that there are inherent structural or institutional rigidity in the transmission mechanism of oil price and exchange rate developments to the stock market.
Evaluating the service quality of information services using a new “P‐C‐P” attributes model

Continues earlier work which described in some detail the theoretical basis and rationale for developing a modified SERVQUAL instrument (P‐C‐P attributes model) for measuring service quality. Provides a brief overview to service quality highlighting some of the more pertinent and as yet unresolved issues. Discusses the validity of the new “P‐C‐P” attributes model as a methodological framework for measuring service quality, and discusses the findings of an in‐depth study of the service quality of information services in Northern Ireland using this model. In brief, the P‐C‐P attributes (pivotal, core and peripheral) model takes the form of a ranked structure based on three main classes of attributes (as opposed to the five dimensions of SERVQUAL). Using these three attributes as a convenient set of pegs, a questionnaire was developed to capture the different aspects of service quality and distributed to 1,000 organisations in Northern Ireland. Some 276 questionnaires were returned for analysis, and in general respondents appeared to be fairly satisfied with the level of service they received from the information services. However, some significant differences were noted between their responses to questions and open comments, which tended to be more negative. This seems to indicate that service quality evaluation should not be based solely on fixed‐choice questions and that respondents should be given the opportunity to make general comments on any aspect of the service they received. This research also examined the versatility of the P‐C‐P attributes model as a measurement framework. Results from advanced statistical tests demonstrated the potential that exists for this tool to be used as a general instrument for assessing the service quality of information services or any industry sector. It is not prescriptive and, indeed, it is a skeletal framework within which to consider respective services, thereby having the potential to address the diversity and idiosyncracies of specific service industries.
Campus Gatekeeper Trainings: An Analysis of Question, Persuade, Refer (QPR) and SafeTALK

CAMPUS GATEKEEPER TRAININGS: AN ANALYSIS OF QUESTION, PERSUADE, REFER (QPR) AND SAFETALK Gabrielle M. Ramsey-Wilson Old Dominion University, 2021 Director: Dr. Cassie Glenn Suicide prevention gatekeeper trainings seek to equip learners with knowledge about suicide, skills to recognize suicide risk and intervene, and awareness of referral resources. Although these trainings are widely used, research is limited on their utility and impact on increasing intent to intervene in a suicide crisis. The current study aimed to evaluate two gatekeeper trainings, SafeTALK and Question, Persuade, Refer (QPR), on a college campus using a pre-test/post-test design to examine this gap in the literature and provide evidence to help shape gatekeeper trainings in the future. Because the theory of planned behavior has been demonstrated to be an effective framework for understanding an individual’s intention to intervene with someone at risk of suicide (Aldrich, 2015), the current study has been guided by this framework. Positive increases in attitudes about intervening, subjective norms, perceived behavioral control (PBC), and intention to intervene were found across both trainings. All variables were found to significantly predict intention to intervene in the overall model; however, only change in PBC predicted change in intention to intervene when controlling for other predictors. Training outcomes did not differ by type of training. An exploratory effect was found suggesting that positive attitudes about intervening increased only for participants who knew someone who died by, or attempted, suicide. Future research is needed to better understand
Dual-Inverter Topology for Single-Phase Supplied Drive Systems without Electrolytic Capacitor

Single-phase supplied variable speed drive (VSD) systems are widely used in industrial applications and typically feature a two-stage design with a power factor corrected (PFC) boost rectifier and a three-phase voltage source inverter (VSI). However, the electrolytic DC-link capacitor, which is needed to cope with the twice grid frequency power pulsation, and the required boost inductor are unfavourable in terms of reliability, volume, cost, and complexity. Therefore, the proposed concept employs a dual-inverter topology with a three-phase open-end winding (OEW) machine, avoiding high-frequency inductors, and controls the system such that the power pulsation is buffered in the inertia of the drive train. Accordingly, the DC-link capacitance can be reduced drastically, enabling an electrolytic capacitor-less system, featuring a higher power density and an increased lifetime. This paper presents the operating principle and the corresponding closed-loop control structure, to achieve PFC operation, DC-link voltage balancing and average speed control. Detailed analysis reveals that the machine voltage can be selected independently of the grid peak voltage in contrast to existing concepts. The converter performance is evaluated based on simple performance indices with respect to the machine voltage. In the context of a 7.5kW compressor application for railway brakes with a wide input voltage range, a semiconductor loss reduction of 30% can be obtained compared to a state-of-the-art approach, further reducing the converter volume. Finally, the proper operation is verified with a closed-loop circuit simulation.
Wildfire and Visitation in U.S. National Parks

The recent rapid increase in wildfire activity due to climate change poses unprecedented challenges to park managers working to mitigate fire risk using limited resources. This paper estimates the effect of wildfires on visitation to 32 national parks across the western U.S. Using a comprehensive dataset on wildfire and smoke, I provide the first large-scale evidence of the negative relationship between wildfire activity and park visitation. I find that, on average, wildfires reduce national park visits by about 700,000 per year and this reduction is disproportionately larger for popular parks with a high level of fire activities. These effects can be explained by a lack of access due to emergency closures throughout the season. I also investigate the global externalities associated with wildfire smoke and find that travelers are not responsive to the smoke from distant sources to a significant degree. These results demonstrate the importance of local adaptation efforts in mitigating economic loss in tourism arising from wildfire avoidance.
A new parallel deep learning algorithm for breast cancer classiﬁcation

Now diagnostic methods with the help of machine learning have been able to help doctors in this ﬁeld. One of the most important of these methods is deep learning, which has gotten good answers in images containing cancer. Increasing the accuracy of deep neural network classiﬁers can increase the diagnosis of breast cancer. In this paper, we have tried to achieve higher accuracy than non-parallel models with the help of a parallel model of a deep neural network. The proposed method is a parallel hybrid method combining AlexNet and VGGNet networks applied in parallel to mammographic images. The database used in this article is INBreast. The results obtained from this method show a 4% increase compared to some other classiﬁcation models so that in the type of density 1, it has achieved about 99.7%. In the case of other densities, an accuracy of nearly 99% has been obtained.
Dipeptidyl Peptidase (DPP)-4 Inhibitor Impairs the Outcomes of Patients with Type 2 Diabetes Mellitus After Curative Resection for Colorectal Cancer

Dipeptidyl peptidase IV inhibitor (DPP-4i) has been shown to act either as a promoter or as a suppressor for cancer. Although epidemiologic studies suggest that DPP-4i does not correlate with the development of malignancies, its effects on cancer metastases are controversial. We evaluated the impact of DPP-4i on postoperative outcomes of the diabetic patients with colorectal cancer and microscopic features of the resected tumors. In 260 consecutive patients with type 2 diabetes mellitus (T2DM) who underwent curative resection of colorectal cancer, the correlation between DPP-4i use and prognosis was retrospectively examined. Expression of Zeb1 on tumor cells and density of infiltrating immune cells were quantitatively evaluated with multicolor IHC in 40 tumors from DPP-4i users, 40 tumors from propensity score–matched users, and 40 tumors from nonusers. Postoperative disease-free survival (DFS) was significantly lower in 135 patients treated with DPP-4i compared with 125 nontreated patients [5-year DFS, 73.7% vs. 87.4%; HR, 1.98; 95% confidence interval (CI), 1.05–3.71; P = 0.035]. IHC revealed that the number of Zeb1+ tumor cells increased in tumors from DPP-4i–treated patients than tumors from nonusers (P < 0.01). The densities of CD3+ and CD8+ T cells were significantly lower in tumors from DPP-4i users (P < 0.01) with decreased density of tertiary lymphoid structures (P < 0.001). However, the density of M2-type tumor-associated macrophages with CD68+ CD163+ phenotypes was significantly higher (P < 0.01) in tumors from DPP-4i users. Exposure of colorectal cancer to DPP-4i may accelerate epithelial-to-mesenchymal transition (EMT) creating a tumor-permissive immune microenvironment, which might impair the outcomes of the patients with colorectal cancer and T2DM. Significance: DPP-4i has been shown to enhance the antitumor effects of immunotherapy. However, we found that DPP-4i significantly impairs the outcomes of patients with colorectal cancer who underwent curative resection, possibly through acceleration of EMT and creation of a tumor-permissive immune microenvironment. This suggests that DPP-4i must be used with caution until its safety is fully confirmed by further studies of the mechanistic effects on existing cancers in humans.
Determining Minimum Contract Time for Highway Projects

An increasing number of state highway agencies (SHAs) are using A (cost) +B (time cost) bidding (A + B bidding) for highway construction. The A + B bidding concept is designed to shorten the total contract time by allowing each contractor to bid the number of days in which the work can be accomplished, in addition to the traditional cost bid. The SHA is then presented with the problem of determining a reasonable range of contract time submitted by the bidders. Most SHAs do not currently restrict the range of B. However, several problems may arise from an unrestricted range of B. First, if no minimum is set for B, a bidder may inflate the cost bid and submit an unreasonably low B, using the excess cost bid to cover the disincentives charged for exceeding the time bid. Second, if no maximum is set for B, then a bidder with a high B and a low-cost bid may be awarded the job and make an unreasonable amount of money from incentive payments. This study develops a quantified model of the price-time bidding contract. A construction cost-versus-time curve is developed from Florida Department of Transportation (DOT) data. The contractor’s price-versus-time curve is then combined with the road-user cost to determine the optimum lower limit to be set on B. Finally, several projects completed by the Florida DOT will be used to illustrate this model.
Basic properties of distantly-presented bone-conduction perception*

Since a vibrator needs to be pressed onto the osseous parts of the head, bone-conduction (BC) is often accompanied by pain and esthetic problems. In order to solve these problems, "distant presentation" has been proposed. In the distant presentation, vibrators are presented to the neck, upper limb or trunk. Our previous studies focused on the perception and propagation characteristics of distantly-presented BC sound in the ultrasonic range and an application to a novel audio-interface. On the other hand, a limited number of studies have been conducted on distantly-presented BC in the audible-frequency range. In this study, to examine the basic properties of the distantly-presented BC perception in the audible-frequency range, hearing thresholds, difference limens for frequency (DLFs) and temporal modulation transfer functions (TMTFs) were measured under the condition that AC sounds were insulated sufficiently. The results obtained indicated that BC sounds can be clearly perceived at distal parts of the body even in the audible-frequency range and no significant degradation of frequency and temporal information occurs in the propagation process in the body.
Field Performance of Unvented Cathedralized (UC) Attics in the USA

This article reports on field experience of unvented cathedralized (UC) attics in several environments in the United States. Traditionally, in some regions of the country, because of high water tables or the risk of flash flooding and lower cost, slab on grade construction is a preferred mode of construction. Mechanical equipment for air conditioning and distribution ducts are usually located in the attic spaces to conserve space. Conventional construction involves providing insulation on the floor of the attic and venting the attic space to the outside. The loss in efficiency in operation of the equipment and through duct leakage is no longer sustainable. Insulating the attic roof itself and blocking of ventilation to the outside transfers the air and thermal energy controls from the boundary with the living space to the plane of the roof. The air distribution systems now fall within conditioned space, which increases their efficiency, durability, and maintainability. While design criteria vary for different climatic regions, UC attics can be insulated in various ways and by using different vapor diffusion resistance strategies of the roof assemblies depending on the climate. The field data presented in this article include measured temperature of asphalt shingles, and thermal and moisture conditions of attic spaces and roof sheathing, as well as air leakage rates. This is of interest for determining probable roofing durability. A more complete understanding of the hygrothermal performance of the assemblies was gained through these measurements.