Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Clone Age and Selection Trait Expression in Mature Walnuts

Data on 15 traits collected from 30 walnut selections were analyzed for changes in relation to both clone and rootstock age. Data collection began at first flowering (age 3 or 4) and continued annually for up to 28 years on each clone. Significant correlations were found between seasonal timing of the expression of phenological traits and clone age. The general trend was towards earlier leafing, bloom, and time of nut maturity as the clone aged. Correlations with rootstock age were lower than with clone age for phenological traits. Shell and kernel trait expression was more highly correlated with rootstock age than clone age, suggesting that changes may be due to vigor and other effects of grafting rather than aging per se. Estimates of the age of stabilization for phenological traits ranged between 9 and 18 years from germination. It is suggested that changes in leafing, bloom, and nut maturity dates be considered prior to commercial release of walnut cultivars.
Ileum Histoarchitecture Following Aspartame Consumption: Assessment of Actions of Moringa oleifera Seed Extract

This study aims to determine the effect of Moringa oleifera seed extract on ileum histoarchitecture following aspartame consumption. Twenty-seven adult male Albino Wistar rats were used for the study. They were divided into nine groups comprising of: group A (control), administered distilled water; group B, given 0.4 ml (low dose) aspartame; group C, given 1.5 ml (high dose) aspartame; group D1, given 0.6 ml (low dose) aspartame for the first three weeks followed by 1.5 ml (low dose) ethanolic extract of M. oleifera seed on the fourth week; group D2 given 0.5 ml (low dose) aspartame for the first three weeks followed by 1.30 ml (low dose) n-hexane extract of M. oleifera seed on the fourth week; group E1, given 1.5 ml (high dose) aspartame for the first three weeks and on the fourth week 2.5 ml (high dose) ethanolic extract of M. oleifera seed; group E2, given 1.5(high dose) aspartame for the first three weeks and on the fourth week 3.0 ml (high dose) n-hexane extract of M. oleifera seed; group F1 given 1.4ml (high dose) aspartame followed by 2.8ml (high dose) ethanolic extract of M. oleifera seed for four weeks; group F2, given 1.3 ml (high dose) aspartame followed by 2.5 ml (high dose) n-hexane extract of M. oleifera seed for four weeks. Weight measurement of rats was taken once a week throughout the twenty eight days duration of the study. Following anaesthetization, their ileum were harvested and fixed in 10 % buffered formalin. Hematoxylin and Eosin (H&E) staining technique was adopted for routine histological procedure. Data were expressed as mean ± standard error of mean (M ± SEM) and subjected to one-way analysis of variance (ANOVA). At 95 % confidence interval, P is significant (P< 0.05). There was a significant increase (P= 0.05) in body weight of both the control and the experimental groups as the experiment progressed. Histological findings revealed that aspartame both in low and high doses has disruptive effects on the histoarchitecture of ileum and high dose ethanolic extract of M. oleiferia seed has the capacity to ameliorate the effects. Hence, caution is needed in aspartame consumption.
The Impact of Chemotherapy Schedule Modification on Survival Outcome among Breast Cancer Patients Receiving Adjuvant or Neoadjuvant Treatment Modalities

Chemotherapy schedule has been reported to increase the risk of suboptimal outcomes among cancer patients receiving chemotherapy with variying outcome between treatment modality. This study investigates the Overall Survival (OS) and Hazard of Death (HR) of breast cancer patients with chemotherapy schedule modification stratified against adjuvant (ACT) and neoadjuvant (NACT) treatment modalities. The data required for this study was extracted from hospital based registry. Those patients included in the study were adult female patients receiving chemotherapy between 2013 and 2017 and completed all six chemotherapy cycles. Patients who completed all cycle with a cumulative length of delay < 7 days was categorized as 'no schedule modification' and patients who completed all cycle with the cumulative length of delay ≥ 7 days were categorized as 'with schedule modification'. The Kaplan-Meier estimator was used to estimate survival curves for each covariate and the log rank test was used to evaluate the differences in survival times for each category. Among 124 patients included in the study,93 patients were censoredand 31 events was observed, providing an OS of 75.0% with a mean survival of 54.09 months (95% CI 49.36-58.83). There was significantly higher survival (p < 0.001) in ACT treatment (83.9%) and higher mortality in NACT treatment modalities (51.6%). Among ACT treatment modality, those with no schedule modification had a significant proportion of patients surviving(p = 0.04) compared to patients with schedule modification . The OS was significantly different between age (p = 0.013), stage (p = 0.022) and chemotherapy (p = 0.002) and no significant difference in the distribution in NACT modality. Our finding suggests that patients with advanced-stage might have better survival implications when the chemotherapy schedule is optimized. Thus, the risk versus benefit of schedule modification must be carefully managed to ensure optimal chemotherapeutic outcomes while balancing the concurrent toxicity.
X-band system performance of the very large array

The Very Large Array (VLA) is being equipped to receive telemetry from Voyager 2 during the Neptune encounter in 1989. Cryogenically cooled amplifiers are being installed on each of the 27 antennas. These amplifiers are currently a mix of field effect transistors (FETs) and high electron mobility transistors (HEMTs) and exhibit zenith system temperatures that range from 30 to 52 K. The system temperatures and aperture efficiencies determined during the past year are summarized. The nominal values of the noise diode calibration are compared with derived values made under the assumption of a uniform atmosphere over the array. Gain values are determined from observations of unresolved radio sources whose flux densities are well known. The tests suggest that the completed VLA will have a ratio of gain to system temperature that is approximately 4.4 dB above that of a single 64 m antenna of the Deep Space Network.
Geometrical Properties of the Nucleus and Chromosome Intermingling Are Possible Major Parameters of Chromosome Aberration Formation

Ionizing radiation causes chromosome aberrations, which are possible biomarkers to assess space radiation cancer risks. Using the Monte Carlo codes Relativistic Ion Tracks (RITRACKS) and Radiation-Induced Tracks, Chromosome Aberrations, Repair and Damage (RITCARD), we investigated how geometrical properties of the cell nucleus, irradiated with ion beams of linear energy transfer (LET) ranging from 0.22 keV/μm to 195 keV/μm, influence the yield of simple and complex exchanges. We focused on the effect of (1) nuclear volume by considering spherical nuclei of varying radii; (2) nuclear shape by considering ellipsoidal nuclei of varying thicknesses; (3) beam orientation; and (4) chromosome intermingling by constraining or not constraining chromosomes in non-overlapping domains. In general, small nuclear volumes yield a higher number of complex exchanges, as compared to larger nuclear volumes, and a higher number of simple exchanges for LET < 40 keV/μm. Nuclear flattening reduces complex exchanges for high-LET beams when irradiated along the flattened axis. The beam orientation also affects yields for ellipsoidal nuclei. Reducing chromosome intermingling decreases both simple and complex exchanges. Our results suggest that the beam orientation, the geometry of the cell nucleus, and the organization of the chromosomes within are important parameters for the formation of aberrations that must be considered to model and translate in vitro results to in vivo risks.
Vulnerability Assessment of Construction Equipment: An Example for an Autonomous Site Monitoring System

– The digital transformation of the construction industry is accelerating with the advances in information technology (IT) and operational technology (OT) and their convergence. While the benefits of such transformation in construction are apparent, cybersecurity aspects are usually overlooked. Cyber-attacks against project information can cause the exposure of confidential project data, intellectual property, and personal information and interruption of project tasks. On the other hand, cybersecurity incidents affecting the OT utilized in the project can lead to misinformation, harm people nearby, or even cause loss of life. Given the criticality of providing robust cybersecurity in construction projects, this study aims to (1) point out the cybersecurity considerations to be taken into account before utilizing autonomous equipment on-site, (2) raise awareness about cybersecurity in construction, and (3) present an example of using vulnerability assessment systems in construction projects. This paper utilizes the Common Vulnerability Scoring System (CVSS) to assess the vulnerabilities and risks of different levels of an autonomous site monitoring system. Four assessors with different backgrounds in cybersecurity and robotic systems performed the assessment. The results revealed the most vulnerable levels of the assessed robotic system, which can be considered as a warning. The assessment suggested in this study can help construction decision-makers identify the levels they need to pay extra attention to before employing a cyber-physical system (CPS) on-site. Utilizing CVSS to conduct a vulnerability assessment for CPSs during the construction phase has not been proposed by any previous study, making this paper novel.
Toward CMOS compatible wafer-scale fabrication of carbon-based microsupercapacitors for IoT

This work presents a wafer-scale method of microsupercapacitor (MSC) fabrication. Deposition of the electrode precursor, i.e. graphene oxide, is accomplished through spin-coating which allows for potential application in CMOS compatible processes for future integrated on-chip energy storage systems. Our MSCs have an areal capacitance of 0.4 mF/cm2 at 10 µA, which is a very promising result. Further, the MSC has good rate capability as its capacitance decreases by only 0.03 mF/cm2 when the current increases to 50 µA. The MSCs have a maximum energy density of 0.04 µWh/cm2 and a maximum power density as high as 96 µW/cm2. Additionally, the wafer-scale process demonstrates industrial viability.
Attention Mask R‐CNN with edge refinement algorithm for identifying circulating genetically abnormal cells

Recent studies have suggested that circulating tumor cells with abnormalities in gene copy numbers in mononuclear cell‐enriched peripheral blood samples, such as circulating genetically abnormal cells (CACs), can be used as a non‐invasive tool to detect patients with benign pulmonary nodules. These cells are identified through fluorescence signals counting by using 4‐color fluorescence in situ hybridization (FISH) technology that exhibits high stability, sensitivity, and specificity. When FISH data are analyzed, the overlapping cells and fluorescence noise is a great challenge for identifying of CACs, thereby seriously affecting the efficiency of clinical diagnosis. To address this problem, in this study, we proposed an end‐to‐end FISH‐based method (CACNET) for CAC identification. CACNET achieved nuclear segmentation and counted 4‐color staining signals through improved Mask region‐based convolutional neural network (R‐CNN), followed by cell category (normal cell, deletion cell, gain cell, or CAC) according to pathological criteria. Firstly, the segmentation accuracy of overlapping nuclei was improved by adding an edge constraint head during training. Then, the interference of fluorescence noise was reduced by fusing non‐local module to reconstruct the feature extraction network of Mask R‐CNN. We trained and tested the proposed model on a dataset comprising 700 frames with 58,083 nuclei. The Accuracy, Sensitivity, and Specificity (overall performance metric for the algorithm) of CAC identification with CACNET were 94.06%, 92.1%, and 99.8%, respectively. Moreover, the developed method exhibited approximately identification speed of approximately 0.22 s per frames. The results showed that the proposed method outperformed the existing CAC identification methods, making it a promising approach for early screening of lung cancer.
What factors drive change in management accounting in Malaysian organisations? / Suzana Sulaiman, Aliza Ramli and Falconer Mitchell

Without knowledge of how the management accounting (MA) discipline changes, its development cannot be properly understood. Prior research indicates that MA has been changing and that many factors are implicated in its change. This study explores the factors which cause management accounting change in Malaysia. MA change is taken to encompass not only MA per se but also its composition as represented by the techniques, skills and roles of the management accountant. These are investigated by surveying experienced, professionally qualified management accountants working in Malaysian organisations. A range of factors were identified as significant change drivers and these differ across the three components of MA.
Bridging from Eulerian to Lagrangian statistics in turbulent flows

Submitted for the DFD09 Meeting of The American Physical Society Bridging from Eulerian to Lagrangian statistics in turbulent flows OLIVER KAMPS, Center for Nonlinear Science, University of Muenster, RUDOLF FRIEDRICH, Institute for Theoretical Physics, University of Muenster, HOLGER HOMANN, RAINER GRAUER, Institut fuer Theoretische Physik I, RuhrUniversitaet Bochum — The problem of relating Lagrangian and Eulerian statistics is a long standing problem in basic and applied turbulence research. Motivated by the investigation of Lagrangian statistics in the inverse cascade regime of 2D turbulence and in fully developed 3D Turbulence we adress the question of relating Lagrangian and Eulerian velocity increment statistics. It turns out that a formal connection between both frames of reference can be established via transition probabilities, which can be estimated from numerical simulations. We also focus on the validity of Corrsin’s independence hypothesis in the context of 2D and 3D flows which is of general interest for turbulent transport and mixing processes. Oliver Kamps Center for Nonlinear Science, University of Muenster Date submitted: 24 Jul 2009 Electronic form version 1.4
Is the P Gene in Common Bean Located in Linkage Group VII?

Linkage tests in common bean (Phaseolus vulgaris L.) were made between black-seeded lines carrying the marker genes round leaf (rnd) and stipelless lanceolate leaf (sl) and the white-seeded lines ‘Miami’ and ‘Inepuisable’ and an induced mutant for white seed, 3-254. The crosses ‘Miami’ × ‘Inepuisable’ and ‘Miami’ × 3-254 were made to test for allelism of the white seed genes in these lines. ‘Miami’ was found to be allelic to ‘Inepuisable’ and 3-254 at the white seed locus (presumed to be P). Furthermore, there was no indication of linkage between the white seed locus and the markers rnd and sl. These results contradict expectations of linkage of P with rnd and sl based on previously published linkage maps and indicate that the present map position of P is incorrect.
Alkaline phosphatase in seminal plasma of sperm-rich fraction of semen in fertile and subfertile dogs

Twenty dogs presented for breeding soundness evaluation were selected for the presentstudy. Based on previous six month breeding history and semen quality, these animals weregrouped retrospectively into fertile (n=6) and subfertile (n=14) groups. Three semen collectionswere made from each of these dogs, two weeks apart. Semen evaluation parameters like volume,sperm concentration, progressive motility, viability, morphologically normal sperms, total spermoutput and alkaline phosphatase (ALP) level in the sperm-rich fraction were compared betweenthe two groups. The mean values for progressive motility, sperm concentration, total sperm outputand viability were 84.17 ± 1.54 per cent, 418.33 ± 36.64 million/mL, 645.11±98.43 million and84.92 ± 1.56 per cent, respectively, in the fertile group, while the values for these parameters were45.71 ± 3.47 per cent, 112.07 ± 24.36 million/mL, 190.24±32.45 million and 49.54 ± 2.35 percent, respectively in the subfertile group. The values were significantly higher in fertile group whencompared to subfertile group. The mean ALP (IU/L) was recorded as 168121.67 ± 22443.25 and 49605.86 ± 12669.68 IU/L, respectively in fertile and subfertile dogs. On statistical analysis, a highlysignificant difference (p˂0.01) was noticed between the groups. Though the concentration of ALPwas more than 40,000 IU/L (below which is the proposed cut off value for incomplete ejaculation) inall the dogs under the present study, it was significantly higher in fertile dogs, suggesting a possible relation to fertility.
Modelling of energy consumption in buildings: an assessment of static and dynamic models

The aim of the present paper is to show recent results obtained in modeling the building system, presenting a review on the common numerical models used to estimate the energy consumptions. In particular, both steady-state and dynamic models are investigated by analyzing their main assumptions, limitations and fields of usage. As a matter of fact, the most common models are based on steady state approaches, but new technologies and the need to implement innovative regulation criteria for heating and cooling systems by performing detailed coupled studies on the building and heating/cooling systems, push towards the use of dynamic tools with low computational costs. Therefore, the use of dynamic models is often suggested, especially when different building configurations are investigated (as e. g. in the design stage or for a renovation perspective). Starting from this point, sensitive analyses on the installation of a proper insulation in the building envelope is then presented.
Statistical Methods in Bioinformatics: An Introduction

The last chapter is a potpourri of special topics, including a detailed analysis of bias, mea-squared error and the trade-off between the two, when a nondifferentially mismeasured continuous variable is converted to a dischotomous variable, converting a measurement error problem into a misclassification and model misspecification problem, and a rather technical investigation of model identifiability and sensitivity to the specification of the prior. Overall, I found this to be an interesting and clearly written text of high technical quality that would be of interest to statistical researchers in the measurement error and misclassification area as well as to Bayesian statisticians interested in a somewhat novel area of application for Bayesian statistics. All of us working in these areas should find this book a worthwhile read.
Throughput and Outage Probability-Aware Intelligent Swarm-Based Multi-Hop Selection in Vehicular Network

Abstract Cooperation is an emerging paradigm for improving spatial differentiation in Vehicular Ad-Hoc Networks (VANETs). Hence, many network solutions are motivated through cooperative communications for boosting VANET efficiency regarding specific network constraints like energy efficiency, network capacity, and outage probability. The main intention of this paper is to design and develop an optimization model for selecting the minimum number of multi-hops between the source and destination for the cooperative VANET networks. The first phase has a first-time slot, where a signal is transmitted by the source to the cooperative nodes (its relays) and their equivalent destination. The main problem considered here is to optimally select the number of hops or relays that are adaptable for communication, to solve the multi-objective functions concerning the target throughput and outage probability. The adoption of new Dimension-based Cat Swarm Optimization (D-CSO) is the main contribution here to optimally select the multi-hops among source and destination. Through the performance evaluation, it is observed that the designed model has achieved networks-wide fairness performance and a good convergence rate.
Few-shot class-incremental learning based on representation enhancement

Abstract. Few-shot class-incremental learning (FSCIL) is crucial and practical for artificial intelligence in the real world, which learns novel classes incrementally from few samples without forgetting the previously learned classes. However, FSCIL confronts two significant challenges: “catastrophic forgetting” and “overfitting new. ” We focus on convolutional neural network (CNN)-based FSCIL and propose a human cognition-inspired FSCIL method, in which the knowledge of novel classes is learned under the guidance of the previously learned knowledge. Specifically, we learn a discriminative and generalized CNN feature extractor from the base classes in the first task. We generate the representations of base and novel classes in unified feature space without training on novel classes, thus avoiding “forgetting old. ” For the novel classes in long sequential tasks, beyond the representation generation, we enhance the representation by exploring the correlations with the previously learned classes to alleviate overfitting new and ensure that the novel classes adapt to the feature space. Experimental results show that our proposed method achieves very competitive results on MiniImageNet and CIFAR-100 datasets.
Stress response of the coral Stylophora pistillata towards possible anthropogenic impacts in the Gulf of Aqaba, Red Sea

Coral deterioration is often linked with coastal pollution. This aimed to study biochemical stress responses in the common coral Stylophora pistillata collected and/or planted in coastal sites subject to pollution and sites without pollution in the Gulf of Aqaba. DNA damage and lipid peroxidation were analyzed to measure stress in corals. High DNA damage was found in natural corals from polluted sites, while higher lipid peroxidation was found in control site compared with polluted sites. Lipid peroxidation was higher in polluted sites after one-year of deployment. Corals’ incubations with copper and lead produced high levels of DNA damage and lipid peroxidation compared with control samples. The results suggested that although corals are visually looking healthy, but they are suffering at subcellular levels. The consequences of such stress might affect the fecundity and growth rates of corals. The results suggest that biomarkers used are efficient tools for early stress detection in corals, though the cost of assessing DNA damage is relatively expensive compared with lipid peroxidation.
High‐performance quadrotor slung load transportation with damped oscillations

This paper presents a control solution for the problem of slung load transportation, with simultaneous damping of oscillations, using an underactuated autonomous quadrotor vehicle in the presence of external disturbances. The strategy put forward is divided into two parts: (i) resorting to an error definition that encompasses the pendular motion of the suspended load, a controller inspired in sliding‐mode theory is developed to compute a vectored thrust actuation that actively damps out the system's oscillations; (ii) two different approaches are illustrated for the stage of attitude tracking: one stemming from the conventional backstepping technique, which controls the vehicle in angular velocity commands; and another, also based on sliding‐mode theory, and built intrinsically in SO(3)$$ \mathsf{SO}(3) $$ , that produces torque commands. The overall control scheme is proved to be robust and stable, with the load oscillations shown to be damped out in the process. Simulation and experimental results are presented in a trajectory tracking scenario to validate and assess the robustness and efficiency of the proposed technique.