Miracle-dz/UniFAR-FTUs huggingface dataset:
Divergence and correlated evolution of male wing spot and courtship display between Drosophila nepalensis and D. trilutea

Male‐specific wing spots are usually associated with wing displays in the courtship behavior of Drosophila and may play important roles in sexual selection. Two closely related species, D. nepalensis and D. trilutea, differ in wing spots and scissoring behavior. Here, we compare male morphological characters, pigmentation intensity of male wing spots, wing‐scissoring behavior, courtship songs, and reproductive isolation between 2 species. F1 fertile females and sterile males result from the cross between females of D. nepalensis and males of D. trilutea. The pigmentation of wing spots is significantly weaker in D. trilutea than in D. nepalensis and the F1 hybrid. Males scissor both wings in front of the female during courtship, with a posture spreading wings more widely, and at a faster frequency in D. nepalensis than in D. trilutea and the F1s. Males of D. trilutea vibrate wings to produce 2 types (A and B) of pulse songs, whereas D. nepalensis and the F1s sing only type B songs. The incidence of wing vibration and scissoring during courtship suggests that wing vibration is essential but scissoring is a facultative courtship element for successful mating in both species. The association between the darker wing spots with more elaborate scissoring might be the consequence of correlated evolution of these traits in D. nepalensis; however, D. trilutea retains wing scissoring during courtship despite having weaker pigmentation of wing spots. The genetic architecture of 2 traits differs in the F1s, consistent with maternal or sex‐linked effects for spots but nonadditive effects for scissoring.
RF/microwave system high-fidelity modeling and simulation: application to airborne multi-channel receiver system for angle of arrival estimation

In this paper, a high-fidelity RF modeling and simulation framework is demonstrated to model an airborne multi-channel receiver system that is used to estimate the angle of arrival (AoA) of received signals from a stationary emitter. The framework is based on System Tool Kit (STK®), Matlab and SystemVue®. The SystemVue-based multi-channel receiver estimates the AoA of incoming signals using adjacent channel amplitude and phase comparisons, and it estimates the Doppler frequency shift of the aircraft by processing the transmitted and received signals. The estimated AoA and Doppler frequency are compared with the ground-truth data provided by STK to validate the efficacy of the modeling process. Unlike other current RF electronic warfare simulation frameworks, the received signal described herein is formed using the received power, the propagation delay and the transmitted waveform, and does not require information such as Doppler frequency shift or radial velocity of the moving platform from the scenario; hence, the simulation is more computationally efficient. In addition, to further reduce the overall modeling and simulation time, since the high-fidelity model computation is costly, the high-fidelity electronic system model is evoked only when the received power is higher than a predetermined threshold.
An analytic network process-based approach to concept evaluation in a new product development environment

Selecting the best product concept is one of the most critical tasks in a new product development (NPD) environment. Making decisions at this stage becomes very difficult due to imprecise and uncertain product requirements. So, the evaluation process of determining the most satisfying conceptual design has been a very vital issue for companies to survive in fast-growing markets for a long time. Therefore, most companies have used various methods to successfully carry out this difficult and time-consuming process. Of these methods, an analytic hierarchy process (AHP) has been widely used in multiple-criteria decision-making problems (i.e. concept selection, equipment evaluation). In this study, however, we use an analytic network process (ANP), a more general form of AHP, due to the fact that AHP cannot accommodate the variety of interactions, dependencies and feedback between higher and lower level elements. Briefly, in this paper, an ANP-based approach is presented to evaluate a set of conceptual design alternatives in order to reach to the best concept satisfying the needs and expectations of both customers and company. In addition, a numerical example is presented to illustrate the proposed approach.
Numerical simulation of MEMS-based blade load distribution control in centrifugal compressor surge suppression

The utilization of turbomachines requires up-to-date technologies to ensure safe operation throughout the widest possible range that makes novel ideas necessary to cope with classic problems. One of the most dangerous instability in compression systems is surge that has to be suppressed before its onset to avoid structural damages as well as other adverse consequences in the system. As surge occurs at low delivered mass flow rates the conventional widely spread surge control is based on bypassing the unnecessary airflow back to the atmosphere. This method has been implemented on a large number of aircraft and provides a robust control on suppressing compressor surge while creating a significant efficiency loss. This paper deals with an idea that has been originally designed as a fixed geometry that could be realized using up-to-date MEMS technology resulting in moderate losses but comparable stability enhancement. Previously the author has established the one-dimensional mathematical model of the concept,.
Experiment of Adiabatic Two-Phase Flow in an Annulus Under Low-Frequency Vibration

In order to investigate the possible effect of seismic vibration on two-phase flow dynamics and thermal-hydraulics of a nuclear reactor, experimental tests of adiabatic air-water two-phase flow under low-frequency vibration were carried out in this study. An eccentric cam vibration module operated at low motor speed (up to 390rpm) was attached to an annulus test section which was scaled down from a prototypic BWR fuel assembly sub-channel. The inner and outer diameters of the annulus are 19.1mm and 38.1mm, respectively. The two-phase flow operating conditions cover the ranges of 0.03≤ ≤1.46m/s and 0.25≤ ≤1.00m/s and the vibration displacement ranges from ±0.8mm to ±22.2mm. Steady-state area-averaged instantaneous and time-averaged void fraction was recorded and analyzed in stationary and vibration experiments. A neural network flow regime identification technique and fast Fourier transformation (FFT) analysis were introduced to analyze the flow regimes and void signals under stationary and vibration conditions. Experimental results reveal possible changes in flow regimes under specific flow and vibration conditions. In addition, the instantaneous void fraction signals were affected and shown by FFT analysis. Possible reasons for the changes include the applied high acceleration and/or induced resonance at certain ports under the specific flow and vibration conditions.Copyright © 2012 by ASME
Recent progress and future perspectives of flexible metal‐air batteries

With the rapid development of wearable and intelligent flexible electronic devices (FEDs), the demand for flexible energy storage/conversion devices (ESCDs) has also increased. Rechargeable flexible metal‐air batteries (MABs) are expected to be one of the most ideal ESCDs due to their high theoretical energy density, cost advantage, and strong deformation adaptability. With the improvement of the device design, material assemblies, and manufacturing technology, the research on the electrochemical performance of flexible MABs has made significant progress. However, achieving the high mechanical flexibility, high safety, and wearable comfortability required by FEDs while maintaining the high performance of flexible MABs are still a daunting challenge. In this review, flexible Zn‐air and Li‐air batteries are mainly exemplified to describe the most recent progress and challenges of flexible MABs. We start with an overview of the structure and configuration of the flexible MABs and discuss their impact on battery performance and function. Then it focuses on the research progress of flexible metal anodes, gel polymer electrolytes, and air cathodes. Finally, the main challenges and future research perspectives involving flexible MABs for FEDs are proposed.
Correlation between Respiratory Muscle Strength and Pulmonary Function with Respiratory Muscle Length Increase in Healthy Adults

Objective: The interest of clinicians is increasing due to the newly established medical insurance for pulmonary rehabilitation. Improvement of respiratory muscle strength and pulmonary function is an important factor in pulmonary rehabilitation, and this study aims to investigate the correlation between changes in respiratory muscle contraction thickness that can affect respiratory muscle strength and pulmonary function. Design: Cross-sectional observational study. Methods: Thirty-one subjects (male ＝ 13, female ＝ 18) participated in this study. The respiratory muscle strength was measured by dividing it into inspiratory/forced expiratory muscles, and the pulmonary function was measured by forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), and FEV1/FVC. To evaluate the respiratory muscle length increase, in resting and concentric contraction thickness of diaphragm, external/internal oblique, transverse abdominis, and rectus abdominis were measured by using ultrasonography. Results: Inspiratory muscle strength showed a significant correlation with the length increase of the inspiratory muscle (r ＝ 0.368 ∼ 0.521, p ＜ 0.05), and forced expiratory muscle strength showed a significant correlation with length increase of forced expiratory muscle (r ＝ 0.356 ∼ 0.455, p ＜ 0.05). However, pulmonary function was not correlated with the length increase of the respiratory muscle. Conclusions: In this study, a correlation between respiratory muscle strength and respiratory muscle length increase was confirmed, but no correlation with the pulmonary function was found. It is considered that the respiratory muscle strength can be improved by increasing the respiratory muscle thickness through appropriate respiratory muscle training.
5G Network-Based Passive Radar

This paper presents the pioneering results of successful target detection using a fully operational and cooperative 5G cellular network as a source of illumination in a passive radar system. The electromagnetic wave generated by the real-life base station allowed for remote sensing of a moving car in bistatic geometry, which shows the feasibility of passive radar in which new generation radio networks serve as an illuminator of opportunity. The paper describes passive radar principles, the theoretical fundamentals of the 5G signal structure, and proposed processing for 5G network-based passive radar. Also, the 5G passive radar demonstrator is described, and the trial results showing the possibilities and limitations of using new radio standards in the context of passive radars.
Dispositionally Vulnerable? Improving Marital Commitment to Counter Neuroticism and Negative Affect

Abstract Marital adjustment is a crucial factor for the mental and physical health of individuals. In this study, we examined the influence of three factors on marital adjustment, that were, negative affect, neuroticism, and marital commitment. In a sample of 258 married partners (Female n = 138; Mage=35.98, SD = 10.83), we found that negative affect, neuroticism, and marital commitment cumulatively contributed 41% of variance in marital adjustment. Marital commitment contributed the most variance in marital adjustment (33%) versus negative effect and neuroticism combined (9%). The implication, limitations, and future directions are discussed.
Chemometric Approach to Assess Response Correlation and its Classification in simplex centroid design for Pre-Optimization stage of Catechin-SNEDDS

Catechins are isolated from tea leaves and shown to have pharmacological activities. However, the permeability and absorption capacity of the digestive tract is low, thus affecting the value of bioavailability. Self-nano emulsifying drug delivery system (SNEDDS) is formulated as a breakthrough in nano delivery to increase the value of bioavailability and stability in a model of natural compounds, namely catechins. This study applies chemometrics to the simplex centroid design (SCD) to analyze the catechin-SNEDDS pre-optimization design. The factors defined include oleic acid, croduret 50-SS, and propylene glycol. Evaluation parameters include emulsification time, percent transmittance (%T), freeze-thaw, and endurance test. The results showed a formula that met the requirements at the time of emulsification, stability, and %T. There were four clusters of results from the principal component analysis - cluster analysis (PCA-CA) in the SCD formula. The evaluation between responses in the SCD optimization design is indicated to have a positive correlation. Analysis using multivariate chemometric can describe the characteristics of each formula and the response based on the parameters used, which refers to the similarity, grouping, and correlation of each formula and response. The PCA-CA technique can group formulas from SCD in similar clusters and provide important information regarding response patterns or correlations.
Shutdown corner, a large deletion mutant isolated from a haploid mutagenesis screen in zebrafish

Abstract Morphogenesis, the formation of three-dimensional organ structures, requires precise coupling of genetic regulation and complex cell behaviors. The genetic networks governing many morphogenetic systems, including that of the embryonic eye, are poorly understood. In zebrafish, several forward genetic screens have sought to identify factors regulating eye development. These screens often look for eye defects at stages after the optic cup is formed and when retinal neurogenesis is under way. This approach can make it difficult to identify mutants specific for morphogenesis, as opposed to neurogenesis. To this end, we carried out a forward genetic, small-scale haploid mutagenesis screen in zebrafish (Danio rerio) to identify factors that govern optic cup morphogenesis. We screened ∼100 genomes and isolated shutdown corner (sco), a mutant that exhibits multiple tissue defects and harbors a ∼10-Mb deletion that encompasses 89 annotated genes. Using a combination of live imaging and antibody staining, we found cell proliferation, cell death, and tissue patterning defects in the sco optic cup. We also observed other phenotypes, including paralysis, neuromuscular defects, and ocular vasculature defects. To date, the largest deletion mutants reported in zebrafish are engineered using CRISPR-Cas9 and are less than 300 kb. Because of the number of genes within the deletion interval, shutdown corner [Df(Chr05:sco)z207] could be a useful resource to the zebrafish community, as it may be helpful for gene mapping, understanding genetic interactions, or studying many genes lost in the mutant.
Treatment for Peritoneal Metastasis of Patients With Colorectal Cancer

From the perspective of survival outcomes, the cancer survival of colorectal cancer (CRC) in the whole stage has improved. Peritoneal metastasis (PM) is found in approximately 8% to 15% of patients with CRC, with a poorer prognosis than that associated with other sites of metastases. Randomized controlled trials and up-to-date meta-analyses provide firm evidence that cytoreductive surgery (CRS) plus hyperthermic intraperitoneal chemotherapy (HIPEC) could significantly improve overall survival compared with systemic chemotherapy alone in selected patients with CRC-PM. Practical guidelines recommend that the management of CRC-PM should be led by a multidisciplinary team carried out in experienced centers and consider CRS plus HIPEC for selected patients. In this review, we aim to provide the latest results of land mark studies and an overview of recent insights with regard to the management of CRC-PM.
Effects of Interaction Conditions on Internal Network Structure of Crumb Rubber–Modified Asphalts

Investigation of the effect of interaction conditions on the development of the internal network structure of crumb rubber–modified asphalt (CRMA) was carried out. Enhancements in the CRMA physical properties, such as stiffness, expressed in the complex modulus (G*), and elasticity, expressed in the phase angle (δ), as a result of the development of three-dimensional (3-D) entangled network structure were achieved. These results came from controlling the interaction conditions of CRMA synthesis to regulate the crumb rubber–modified (CRM) components that were responsible for the formation of the 3-D entangled network structure. Dissolution tests and thermogravimetric analysis (TGA) were performed on the extracted CRM particles after inter action with asphalt. A Fourier transform infrared (FTIR) spectroscopy investigation was performed on the liquid phase asphalt after separation of CRM. FTIR was used to investigate the state of the released CRM components, previously calculated by TGA, which were responsible for the formation of the 3-D network structure. Use of rheological, TGA, and FTIR tests confirmed that the enhancement of the CRMA's G* and δ was dependent on the dissolution or release of CRM components under specific interaction conditions that led to the existence of a 3-D network structure within the liquid phase of the CRMA. The development of the 3-D entangled network structure in CRMA was found to be attributable to the release of most of the CRM natural and synthetic rubber components under specific interaction conditions. Enhancements in the CRMA G* and δ provided improved rutting resistance and alleviated permanent deformation problems.
Extraction of E@ and tan S@ for BT Insulator up to 30 GHz Using the Short-Pulse Propagation Technique

The self-consistent frequency-dependent dielectric constant, €,(/,I, and dielectric loss, tansf). are determined over the range 2 to 30 GHz using a short-pulse propagation technique and an iterative extraction based on a rational function expansion. Simulations of signal propagation on printed circuit board wiring using transmission-line models based on these results show very good agreement with measured step and pulse timedomain excitations.
Therapeutic Benefits of Alpha-Lipoic Acid Supplementation in Diabetes Mellitus: A Narrative Review

Abstract Elevated oxidative stress is a common denominator between pathways implicated in the pathogenesis of diabetes mellitus and diabetes complications, prompting the use of antioxidant compounds in diabetes therapy. Alpha-lipoic acid (ALA), has been investigated for its role as a potent antioxidant in diabetes treatment and the results from clinical trials indicate improved glucose metabolism, reduced oxidative stress, improved endothelial dysfunction, a decline in platelet reactivity and moderate improvements to weight loss yet conflicting data regarding insulin metabolism. ALA inhibits nuclear factor kappa B (NFkB), chelates divalent transient metal ions and induces the expression of adenosine monophosphate-activated protein kinase (AMPK). This narrative review explores the results from clinical trials investigating the role of ALA in the treatment of diabetes mellitus.
The Transmission Mechanisms of International Business Cycles: Output Spillovers through Trade and Financial Linkages

Abstract: We study the transmission channels through which shocks affect the global economy and the crosscountry comovement of real economic activity. For this purpose, we collect detailed data on international trade and financial linkages as well as domestic macro and financial variables for a large set of countries. We document significant international output comovement following U.S. monetary shocks, and find that openness to international trade matters more than financial openness in explaining cross-country spillovers. In particular, output in countries with a high share of exports and imports responds to U.S. monetary shocks significantly more than output in countries with a low share, whereas we do not find material heterogeneity depending on international investment positions or financial flows in the balance of payments. We further document strong network amplification associated with the patterns of bilateral trade flows, as indirect spillovers account for nearly half of the total effect. Studies that do not account for direct bilateral linkages between national economies — and the indirect linkages through the network they form – may thus present an incomplete view of international business cycles.
Utilization of life-cycle analysis to evaluate sustainability rating systems for construction projects with a case study on Qatar Sustainability Assessment System (QSAS)

Purpose – The purpose of this paper is to present a methodology for assessing, in quantifiable terms, the reduction in environmental impacts achieved by applying different credits of sustainability rating systems in building construction projects. Design/methodology/approach – Sustainability rating systems are developed in various regions to evaluate construction projects with respect to their environmental performance. Although implementation of rating systems had a recognized effect on reducing environmental impact of construction projects, there is no objective and quantifiable evidence that the approaches recommended by these rating systems to achieve the required certification lead to optimum environmental results. This paper presents a methodology that utilizes life cycle analysis (LCA) as a powerful and objective tool to validate the way rating systems evaluate project performance. The Qatar Sustainability Assessment System (QSAS), recently developed in the State of Qatar by Gulf Organization for R.
Design and Development of a Forecasting Module: Case of a Warehouse Management System

Abstract We work in this paper on the improvement of the replenishment module implemented on a warehouse management system. This module is based on a forecasting system and a set of inventory management policies. We focus on leveraging the forecasting system to enhance the performance of the software. The current forecasting method used is the simple moving average. This is a well known technique and widespread in practice among logistics managers. However, it is not appropriate for usual consumption patterns including trend and seasonality. We proposed a more advanced forecasting system based on two components: a pattern identification procedure, using statistical tests, and a set of different forecasting models, variants of the exponential smoothing. We made experimentations using historical data from a pharmaceutical platform in order to compare our proposal with the existing one. This enables us to prove the effectiveness of the proposed system in terms of accuracy consumption estimation.