Miracle-dz/UniFAR-FTUs huggingface dataset:
Building a lightweight digital twin of a crane boom for structural safety monitoring based on a multi-fidelity surrogate model

Undetected fatigue and overload damages at the key locations of the crane boom are among the biggest threats in construction, leading to structural failure. Thus, the structural health of the crane boom should be monitored in real-time to ensure that it works under the designed load capacity. In this work, we developed a lightweight digital twin by the multi-fidelity surrogate (MFS) model to improve the real-time monitoring and prediction accuracy of the structural safety of a crane boom. Digital twin technology, which can establish real-time mapping between the physical space and the digital space, has a promising potential for online monitoring and analysis of structures, equipment, and even human bodies. By combining the MFS model and sensor data, the lightweight digital twin can dynamically mirror the crane boom postures and predict its structural performance in real-time. In this study, the structural analysis of the crane boom is limited to the linear elastic stage of materials. Numerical experiments showed that the accuracy of the lightweight digital twin was enhanced compared with that established by the single-fidelity surrogate model, and the computational cost of the lightweight digital twin was decreased with respect to the digital twin built by the numerical method. Meanwhile, the uncertainty from the physical space was analyzed to enhance the reliability of the lightweight digital twin. Thus, the lightweight digital twin developed in our work can ensure accurate safety prediction and design optimization for crane booms.
Application of Optical Methods for Determination of Concentration of Doxorubicin in Blood and Plasma

The aim of presented research is to develop a simple and quick method of spectrophotometric detection for the determination of doxorubicin hydrochloride in blood and plasma. Anthracycline antibiotics are among the most effective antineoplastic agents. However, despite their high efficacy in the treatment of various types of cancer, their administration is limited primarily because they exhibit myocardial toxicity. This may be a limiting factor in the dosage of medications; nevertheless, drugs exhibiting this mechanism of action constitute a very important group of chemotherapeutics. One of the more widely studied antibiotics from the anthracycline group is doxorubicin. It exhibits the highest antineoplastic activity from among a number of derivative compounds. Because of the adverse effects of doxorubicin, especially cardiotoxicity, it is important to maintain control of its concentration in body fluids. The method in the study consists of extraction doxorubicin from the plasma or blood and measurements of the absorbance of light in the visible light range in a DOX solution with respect to a reference sample. The research used blood and plasma samples spiked with doxorubicin to give concentrations in the range of 0.2–10 µg/mL. Obtained LODs were 1.6 µg/mL and 1.2 µg/mL, respectively.
Research on Stress,Deflection and Crack Monitoring System of Long-Span Continuous Rigid-Frame Bridge

Deflection of mid span and crack of box girder is the common disease among long-span continuous rigid-frame bridges.Methods and health monitoring system of the said bridge was studied due to its disease characteristics and causes.The monitoring system was applied in Taipingzhuang Bridge to conduct a case study.Result showed that the system could monitor actual damage of bridges;it was sensitive and reliable,therefore it could be widely used in bridge monitoring.
Molecular Characterization of Avian Influenza H9N2 and H5N1 from Outbreak in a Backyard Layer Farm in Kaduna State, Nigeria

Avian influenza viruses (AIVs) have been reported in Nigeria since 2006, and the co-circulation of high-pathogenic avian influenza H5N1 and low-pathogenic avian influenza H9N2 subtypes in poultry has been reported. These Avian Influenza virus subtypes could lead to severe economic losses to the poultry farmers and may force the farmers out of the poultry production leading to unemployment for the staff of the farm. The co-infection with both highly pathogenic (H5N1) and low pathogenic (H9N2) could lead to possible re-assortment and the production of novel strain that can be highly pathogenic to chicken and may have the capacity to infect humans and be transmitted from human to humans which may lead to a pandemic of influenza. The clinical signs observed were somnolence, marginal cyanosis of the combs, ruffled feathers, matted vent and whitish/yellowish diarrhoea; while the post mortem examinations revealed dehydrated carcass, multiple foci of petechial haemorrhages on the abdominal fats, congested and necrotic-friable liver, edematous and congested lungs, congested spleen with multiple foci of necrosis, hemorrhagic and misshaped ovarian follicles, egg yolk peritonitis, swollen and hemorrhagic kidneys, erosion of the proventricular mucosa, congested trachea with mucoid exudates, and sinusitis. The disease was diagnosed based on the clinical signs, post mortem findings, competitive Enzyme-Linked Immunosorbent Assays (ELISAs) and clade-specific RT-qPCR, for the detection of co-circulating highly pathogenic avian influenza virus H5N1 and low pathogenic H9N2. The result of all sera (5/5) tested for Antibodies against Avian influenza Nucleoprotein produced positive results while 80 % of sera (4/5) tested positive for the H9 subtype of AIV. Antibodies against the H5 and H7 subtypes were not detected. The results of RRT-PCR and RRTPCR/ H5 were positive for both tracheal and cloacal samples. RRT-PCR/ H7 & H9 yielded negative results.
Unpacking a Charge of Emotional Irrationality: An Exploration of the Value of Anger in Thought

Abstract Anger has potential epistemic value in the way that it can facilitate a process of our coming to have knowledge and understanding regarding the issue about which we are angry. The nature of anger, however, may nevertheless be such that it ultimately undermines this very process. Common non-philosophical complaints about anger, for instance, often target the angry person as being somehow irrational, where an unformulated assumption is that her anger undermines her capacity to rationally engage with the issue about which she is angry. Call this assumption the charge of emotional irrationality regarding anger. Such a charge is pernicious when levelled at the anger of those in positions of marginalisation or oppression, where it can threaten to silence voices on the very issue of the injustices that they face. In this paper I thus provide a much-needed interrogation of this charge. Firstly, and drawing on empirical literature on the effects of anger on decision-making, I flesh out the charge and why it poses a threat to how the epistemic value of anger has been defended. Secondly, I argue that the charge of emotional irrationality regarding anger can nevertheless be unwarranted, at least within a common context of political anger.
The Role of the Accounting Information Quality in Pre-Financial Crisis Management at Palestinian Government Universities

The main purpose of this study is to investigate the role of the quality of accounting information in improving the effectiveness of pre-financial crisis management. The importance of accounting information stems from reducing the state of uncertainty and increasing the level of confidence of the decision-maker, especially during critical times such as financial crises. Therefore, by understanding this role in managing financial crises, Palestinian government universities can effectively detect early signs of the financial crisis, which in turn enhances their ability to prepare for and prevent the financial crisis. In fact, this contributes to supporting the ability of these universities to create and follow a proactive strategy in facing and limiting financial crises, in which the quality of accounting information performs a crucial role. The study used the descriptive analytical method and the quantitative approach, where the manual questionnaire was adopted as a tool for data collection. The population of the study is represented by the employees of the accounting and financial departments at Al-Aqsa University, which are 40 employees, and they all constituted the sample of the study. The study relied on the Smart-PLS program (v.3.3.3) to analyze data and test hypotheses. The findings revealed a statistically significant impact of the quality of accounting information in achieving the effectiveness of pre-financial crisis management. Accordingly, the study recommended the necessity of availability and reliance on high quality accounting information for its critical and vital role in detecting early signs of the financial crisis and improving preparedness and prevention capabilities. Future research is recommended to focus on exploring the mediating and moderating factors that affect the relationship between the quality of accounting information and pre-financial crisis management.
Do submillisievert-chest CT protocols impact diagnostic quality in suspected COVID-19 patients?

Background During the ongoing global SARS-CoV-2 pandemic, there is a high demand for quick and reliable methods for early identification of infected patients. Due to its widespread availability, chest-CT is commonly used to detect early pulmonary manifestations and for follow-ups. Purpose This study aims to analyze image quality and reproducibility of readings of scans using low-dose chest CT protocols in patients suspected of SARS-CoV-2 infection. Materials and Methods Two radiologists retrospectively analyzed 100 low-dose chest CT scans of patients suspected of SARS-CoV-2 infection using two protocols on devices from two vendors regarding image quality based on a Likert scale. After 3 weeks, quality ratings were repeated to allow for analysis of intra-reader in addition to the inter-reader agreement. Furthermore, radiation dose and presence as well as distribution of radiological features were noted. Results The exams’ effective radiation doses were in median in the submillisievert range (median of 0.53 mSv, IQR: 0.35 mSv). While most scans were rated as being of optimal quality, 38% of scans were scored as suboptimal, yet only one scan was non-diagnostic. Inter-reader and intra-reader reliability showed almost perfect agreement with Cohen’s kappa of 0.82 and 0.87. Conclusion Overall, in this study, we present two protocols for submillisievert low-dose chest CT demonstrating appropriate or better image quality with almost perfect inter-reader and intra-reader agreement in patients suspected of SARS-CoV-2 infection.
Latent Dimensions of Auto-Encoder as Robust Features for Inter-Conditional Bearing Fault Diagnosis

Condition-based maintenance (CBM) is becoming a necessity in modern manufacturing units. Particular focus is given to predicting bearing conditions as they are known to be the major reason for machine down time. With the open-source availability of different datasets from various sources and certain data-driven models, the research community has achieved good results for diagnosing faults in bearing fault datasets. However, existing data-driven fault diagnosis methods do not focus on the changing conditions of a machine or assume all conditional data are available all the time. In reality, conditions vary over time. This variability can be based on the measurement noise and operating conditions of the monitored machines such as radial load, axial load, rotation speed, etc. Moreover, the availability of the data measured in varying operating conditions is scarce, as it is not always feasible to collect in-process data in every possible condition or setting. Considering such a scenario, it is necessary to develop methodologies that are robust to conditional variability, i.e., methodologies to transfer the learning from one condition to another without prior knowledge of the variability. This paper proposes the usage of latent values of an auto-encoder as robust features for inter-conditional fault classification. The proposed robust classification method MLCAE-KNN is implemented in three steps. First, the time series data are transformed using Fast Fourier Transform. Using the transformed data of any one condition, a Multi-Layer Convolutional Auto-Encoder (MLCAE) is trained. Next, a K-Nearest Neighbors (KNN) classifier is trained based on the latent features of MLCAE. The so-trained MLCAE-KNN is then used to predict the fault class of any new observation from a new condition. The results of using the latent features of the Auto-Encoder show superior inter-conditional classification robustness and superior accuracies compared to the state-of-the-art.
Advances in Understanding the Role of Aloe Emodin and Targeted Drug Delivery Systems in Cancer

Cancer is one of the important causes of death worldwide. Despite remarkable improvements in cancer research in the past few decades, several cancer patients still cannot be cured owing to the development of drug resistance. Natural sources might have prominence as potential drug candidates. Among the several chemical classes of natural products, anthraquinones are characterized by their large structural variety, noticeable biological activity, and low toxicity. Aloe emodin, an anthraquinone derivative, is a natural compound found in the roots and rhizomes of many plants. This compound has proven its antineoplastic, anti-inflammatory, antiangiogenic, and antiproliferative potential as well as ability to prevent cancer metastasis and potential in reversing multidrug resistance of cancer cells. The anticancer property of aloe emodin, a broad-spectrum inhibitory agent of cancer cells, has been detailed in many biological pathways. In cancer cells, these molecular mechanisms consist of inhibition of cell growth and proliferation, cell cycle arrest deterioration, initiation of apoptosis, antimetastasis, and antiangiogenic effect. In accordance with the strategy of developing potential drug candidates from natural products, aloe emodin's low bioavailability has been tried to be overcome by structural modifications and nanocarrier systems. Consequently, this review summarizes the antiproliferative and anticarcinogenic properties of aloe emodin, as well as the enhanced activity of its derivatives and the advantages of drug delivery systems on bioavailability.
Effects of Leader-Member Exchange, Organizational Identification and Leadership Communication on Unethical Pro-Organizational Behavior: A Study on Bank Employees in Turkey

Unethical behavior of employees threatens business development and sustainability by damaging the image and reputation of companies. Unethical pro-organizational behavior (UPB) must also be considered in this context, and its antecedents should be analyzed. This study aims to advance what is known about how leader-member exchange (LMX) and organizational identification affect employees’ intentions to perform UPB, by incorporating the effect of leadership communication. Within this context, the mediating role of organizational identification and the moderating role of leader’s message framing (gain or loss) are examined. The research sample consists of 306 employees working for state and private banks operating in Turkey. Participants were divided into two groups and message framing was manipulated with a hypothetical story using vignettes. Research hypotheses were tested by structural equation modeling (SEM) and multi-group analysis. Results confirmed positive effects of LMX and organizational identification on UPB. Organizational identification also mediated the effect of LMX on UPB. Moreover, leader’s communication style moderated the effects of LMX and organizational identification on UPB. When leaders used loss framing instead of gain framing, the effect of LMX on UPB was augmented whilst the effect of organizational identification diminished. Our study contributes to the literature by documenting how a leader’s communication style can trigger a shift towards UPB among highly identified employees. Research and managerial implications of the findings are discussed.
Morphological shift of hyperbolic patterns in the Quran, with reference to English translation

This study addresses the use of hyperbole in the Quran at the word level and its English translation. It investigates the morphological shift of hyperbolic patterns such as ‘Fa’uul (فعول), Fa’eel (فعيل) and Fa’aal’ (فعال) and their corresponding English translations. We attempt to determine the implications underlying the translation strategies for the translation quality of the data under study. Under this circumstance, the translator applied a series of translation strategies, such as literal translation, paraphrase, transposition, and morphological strategies, with transposition being the most employed strategy. Such strategies were in some cases a problem for the functions of the Quranic hyperboles. As such, the translation quality was occasionally poor.
Identification and Characterization of Cassava Mosaic Begomoviruses in Non-crop Plants from Unguja and Pemba Islands

Cassava mosaic disease caused by cassava mosaic begomoviruses (CMBs) remains one of the major constraints to cassava production since it causes yield losses up to 100%. Researches showed that some of CMBs infecting cassava plants may be coming from non-crop plants. This study intended to identify and characterize CMBs isolated from non-crop plant species in Unguja and Pemba Islands. A total of 108 viral symptomatic and asymptomatic non-crop leaf samples were collected using stratified sampling. DNA was extracted by using CTAB protocol followed by polymerase chain reaction using universal and specific primers for cassava mosaic begomoviruses identification. Results showed that, among eleven samples that were amplified, four were African cassava mosaic viruses (ACMV) and seven were East African cassava mosaic viruses (EACMV). DNA sequencing by Sanger method showed 97–99% similarities with isolates of ACMV and EACMV reported elsewhere in Africa. Using RbcL and MatK plant barcode genes, Datura stramonium, Solanum melongena and Solanum incanum were found associated with ACMV, while Senna occidentalis, Sida acuta and Ricinus communis harboured EACMV. These findings are a key in understanding the epidemiology of cassava mosaic disease and are potential in the development of sustainable management strategies for this disease. Keywords: Begomoviruses, Cassava mosaic disease, East African cassava mosaic virus, Non crop plants.
Photonic Label-Free Biosensors for Fast and Multiplex Detection of Swine Viral Diseases

In this paper we present the development of photonic integrated circuit (PIC) biosensors for the label-free detection of six emerging and endemic swine viruses, namely: African Swine Fever Virus (ASFV), Classical Swine Fever Virus (CSFV), Porcine Reproductive and Respiratory Syndrome Virus (PPRSV), Porcine Parvovirus (PPV), Porcine Circovirus 2 (PCV2), and Swine Influenza Virus A (SIV). The optical biosensors are based on evanescent wave technology and, in particular, on Resonant Rings (RRs) fabricated in silicon nitride. The novel biosensors were packaged in an integrated sensing cartridge that included a microfluidic channel for buffer/sample delivery and an optical fiber array for the optical operation of the PICs. Antibodies were used as molecular recognition elements (MREs) and were selected based on western blotting and ELISA experiments to ensure the high sensitivity and specificity of the novel sensors. MREs were immobilized on RR surfaces to capture viral antigens. Antibody–antigen interactions were transduced via the RRs to a measurable resonant shift. Cell culture supernatants for all of the targeted viruses were used to validate the biosensors. Resonant shift responses were dose-dependent. The results were obtained within the framework of the SWINOSTICS project, contributing to cover the need of the novel diagnostic tools to tackle swine viral diseases.
Dissipation of spiroxamine residues in open field cucumber and dietary risk assessment

Summary Spiroxamine is one of the most used fungicides in the Mediterranean region, in significant uses such as open field cucumber. Residue trials in the Northern part of Egypt were conducted to investigate the dissipation of spiroxamine (SPX) in cucumbers according to the authorized Good Agricultural Practice (GAP) (1 × 75 g a.i. ha−1 at BBCH 85 to 89) and more critical use patterns. SPX was extracted from cucumbers using a modified QuEChERS protocol and residues were analyzed by liquid chromatography with tandem mass spectrometry (LC–MS/MS). The method was successfully validated with an LOQ of 0.001 mg kg−1. A steep decline of SPX residues in cucumbers fit a first-order decay process with a calculated t1/2 of approximately 2 days and almost complete degradation (99%) after 14 days. Chronic and acute exposure calculations were performed for cucumbers treated with SPX according to all tested GAPs employing two different approaches. In all cases a health risk after consumption of cucumbers was not identified.
A Feasibility Study on the Identification of Potential Biomarkers in Pulmonary Embolism Using Proteomic Analysis

Acute pulmonary embolism (PE) is a common emergency with a high morbidity and mortality. Most clinical presentations are non-specific and there is a lack of suitable biomarkers for PE. For example, the traditional D-dimer tests shows a rather high sensitivity for PE, but yet a rather low positive predictive value due to its lack of specificity. Research on novel biomarkers for PE is thus of interest to improve early diagnostics and reduce the number of unnecessary computed tomography pulmonary angiogram (CTPA) scans performed. In this study we evaluate the feasibility to use label-free quantitative proteomics to discover potential biomarkers for acute PE and to monitor changes in proteins levels in PE patients over time. Blood was collected from 8 patients with CTPA verified PE and from 8 patients presenting with same symptoms but with a negative CTPA. The samples were analyzed by liquid chromatography-mass spectrometry and thirteen protein concentrations were found to be significantly changed in PE patients compared to the CTPA negative controls. This exploratory study shows that proteomic analysis can be used to identify potential biomarkers for PE as well as to monitor changes of protein levels over time. The complement proteins play a part in PE but further studies are needed to clarify their specific role in the pathophysiological process and to look for more specific proteins.
The Impact of Overlap Period on the Stability of Current-Controlled Alternate Arm Converter Based on dq Frame Impedance Analysis

As a variant modular converter configuration, the alternate arm converter (AAC) is well-suited for high-voltage power transmission and large-scale integration of renewables. In contrast to conventional multilevel converters, the director switches in the arms of AAC lead to the introduction of an overlap period, during which circuiting current can flow through the two arms in the same phase. Thus, fixed or variable overlap period control can be implemented in AAC systems so as to dynamically balance stored arm energy. However, the control of overlap period is linked to instability issues that might impede the safe operation of AAC systems, which are yet to be reported. In this paper, the stability of an AAC system is demonstrated based on measured grid and converter impedance, in conjunction with impedance-based stability criterion in the dq frame. The interaction between harmonic sources at AC and DC sides of the AAC system is analyzed to determine resonant frequencies in the AC current when any potential resonance is identified in the dq frame. Novel results with respect to the impact of overlap period on the system stability are obtained by depicting and comparing the Eigenloci in the polar plot, which are validated by real-time simulations.