Miracle-dz/UniFAR-FTUs huggingface dataset:
COVID-19 government grants, liquidity indicators and going concern uncertainty

The purpose of this study is to enhance our understanding of the effect of the liquidity position on going concern reporting during the COVID-19 liquidity crisis. The first possible effects of COVID-19 as they occur in 2020 are enclosed in the financial statements of 2019 as an event after the balance sheet date. By studying a sample of 579 financial statements of private (non-listed) companies that are subject to a statutory audit in the Netherlands, we find that both liquidity indicators and government grant applications result in a higher propensity to issue a mandatory going concern paragraph in the financial statements. Additionally, we find no evidence that liquidity levels prior to the COVID-19 pandemic crisis affect an application for a government grant.
Detecting Marine Organisms Via Joint Attention-Relation Learning for Marine Video Surveillance

The better way to understand marine life and ecosystems is to surveil and analyze the activities of marine organisms. Recently, research on marine video surveillance is becoming increasingly popular. With the rapid development of deep learning (DL), convolutional neural networks (CNNs) have made remarkable progresses in image/video understanding tasks. In this article, we explore a visual attention and relation mechanism for marine organism detection, and propose a new way to apply an improved attention-relation (AR) module on an efficient marine organism detector (EMOD), which can well enhance the discrimination of organisms in complex underwater environments. We design our EMOD via integrating current state-of-the-art (SOTA) detection methods in order to detect organisms and surveil marine environments in a real time and fast fashion for high-resolution marine video surveillance. We implement our EMOD and AR on the annotated video data sets provided by the public data challenges in conjunction with the workshops (CVPR 2018 and 2019), which are supported by National Oceanic and Atmospheric Administration (NOAA) and their research works (NMFS-PIFSC-83). Experimental results and visualizations demonstrate that our application of AR module is effective and efficient, and our EMOD equipped with AR modules can outperform SOTA performance on the experimental data sets. For application requirements, we also provide the application suggestions of EMOD framework. Our code is publicly available at https://github.com/zhenglab/EMOD.
Investigation of the Thermal Transport Properties Across Van der Waals Interfaces of 2D Materials

Two-dimensional (2D) materials have attracted extensive research interest in various applications in recent years due to their superior thermal, electrical, and optical properties, making them preferable for potential electronic and optoelectronic applications. These 2D materials form Van der Waals interfaces with common substrate materials due to fabrication and/or device requirements. Since the generated heat during the operation of the devices cause degradation and reliability concerns, interface thermal boundary conductance (TBCs) and in-plane thermal conductivities of the interfaces should be well understood for proper thermal management. Herein, we investigate the TBC and in-plane thermal conductivities of the Van der Waals interfaces of 2D materials by approach to-equilibrium molecular dynamics (AEMD) and non-equilibrium molecular dynamics (NEMD) simulations. Our results show that the TBC is higher for the interfaces with stronger phonon DOS and lattice match. Also, the increasing number of 2D material layers increases the TBC of the interface. The results also showed that the thermal conductivity of the materials forming the interface could affect each other's in-plane thermal conductivity. Changes in thermal conductivities of individual in-plane thermal conductivities can be as high as 70%. Change in thermal conductivity depends on the difference in thermal conductivities of materials in contact and only visible in the vicinity of the interface. Thermal management strategies should pay attention to the trade-off between the changes in individual thermal conductivities and TBC of the interfaces.
A iliotibial bandchildren anterolateral thigh flap and iliotibial band for reconstruction of soft tissue defects at children's feet and ankles

A B S T R A C T Background and purpose: High-energy injury to children caused by a traffic accident is usually characterised by extensive soft tissue defects with exposure or loss of tendons and bone at the foot. Segmental loss of the Achilles tendon along with soft tissue defects is a great challenge for microsurgical reconstruction. Free anterolateral thigh (ALT) flap is indicated for reconstruction of such defects because limited local tissues are available. Additionally, iliotibial band in the donor area can be used to reconstruct the damaged tendon. Materials and methods: Here we described our successful management of 25 paediatric patients with such high-energy injury at feet and ankles in one-stage transplantation of a free ALT flap and an iliotibial band from January 2008 to January 2013. The tendon defect, ranging from 3 to 16 cm in length, was reconstructed with an iliotibial band. The flaps ranged from 5 to 12 cm in width and 8 to 18 cm in length. Results: All the flaps survived completely and no donor site complications were observed. In two flaps there was a small area of distal necrosis which was healed by dressing changes. The mean follow-up time was 14.2 months (from 6 to 24 months). Limb function was assessed using the Maryland Foot Score. The excellent and good rate was 92%. Conclusions: We believe a free ALT flap is ideal for reconstruction of massive soft tissue defects at the foot and ankle in children and an iliotibial band from the same donor site can be used for reconstruction of a damaged tendon.
Effect of cutting frequencies and nitrogen levels on growth, green and seed yield and quality of water spinach (Ipomoea reptans Poir.)

To study the effect of cutting frequencies and nitrogen levels on growth, green and seed yield and quality of upland water spinach ( Ipomoea reptans Poir.) an experiment was undertaken with four cutting frequencies (C 0 = no cutting; C 1 = one cutting at 45 days after sowing (DAS); C 2 = two cutting at 45 and 65 DAS and C 3 = three cutting at 45, 65 and 85 DAS) and five nitrogen levels (N 0 = no application; N 1 = 50 kg/ha; N 2 = 100 kg/ha; N 3 = 150 kg/ha and N 4 = 200 kg/ha). Results revealed that all growth, seed yield and seed quality attributes were found to decrease significantly with higher cutting frequencies, whereas, reverse effects on all physiological attributes, green yield and its quality parameters. On the other hand, nitrogen level (upto 150 kg N/ha) had significant effect and all these parameters. The highest green yield was recorded at three cuttings and 150 kg N/ha individually and also at their interaction (16.34, 12.57 and 17.77 t/ha, respectively). Maximum value of quality parameter like vitamin A (3072.9 µg/100 g) was recorded in one cutting with 150 kg N/hectare, whereas, maximum ascorbic acid was recorded maximum (45.31 mg/100 g) in one cutting without N fertilizer application Maximum net profit of Rs. 114324.00 with B: C ratio of 2.22:1 was obtained with combination of three cuttings and 150 kg N/ha and that may be adopted for its commercial cultivation in medium to upland situation under terai region of West Bengal.
Ascorbic Acid Ameliorates Cardiac and Hepatic Toxicity Induced by Azithromycin-Etoricoxib Drug Interaction

The complexity of prescribing safe and effective drug therapy is still challenging. Due to the increased number of medications taken by patients, the potential for drug-drug interactions has clinically important consequences. This study focuses on the potential drug-drug interaction between azithromycin and etoricoxib and the possibility of counteracting this adverse reaction by giving ascorbic acid intraperitoneally to male albino rats. Sixty adult male albino rats weighing 150–180 g were used. The rats were allocated into six equal groups. One group was a control, and the others were given azithromycin, etoricoxib, either alone or combination, with one group treated with ascorbic acid and the last group treated with the drug combination and ascorbic acid. Blood samples were collected for measuring AST, ALT, LDH, CK-MB, and troponin alongside antioxidant enzymes and histopathological examination for both liver and heart tissue. The results showed both hepatic and cardiac damage in azithromycin and etoricoxib groups represented by increasing levels of heaptoc enzymes (ALT, AST, LDH, CK-MB, and troponin) with declining antioxidant enzymes and elevation of malondialdehyde and the appearance of hepatic and cardiac toxicities. Upon administration, ascorbic acid ameliorated all the mentioned biochemical parameters. In conclusion, ascorbic acid has great antioxidant capacities and hepatic and cardiac ameliorative effects and can alleviate drug interaction toxicity.
Examining the Effect of Financial Management, Shopping Behavior on Financial Literacy among University Students

This study examines the effect of financial management and shopping behavior on financial literacy among Sultan Idris Education University students (UPSI), Malaysia. This study uses data collected through a survey questionnaire. The analysis method used in this study is quantitative, namely descriptive and inferential analyses. The correlation test results found that the financial literacy and financial management of UPSI students have a positive, strong, and significant relationship. While, the relationship between financial literacy and shopping behavior of UPSI students is positive, weak, and insignificant. At the same time, the relationship between financial management and the shopping behavior of UPSI students is positive, weak, and not significant. Regression analysis showed that financial management and shopping behavior could influence financial literacy simultaneously.
Diagnosis of dengue virus infection using spectroscopic images and deep learning

Dengue virus (DENV) infection is one of the major health issues and a substantial epidemic infectious human disease. More than two billion humans are living in dengue susceptible regions with annual infection mortality rate is about 5%–20%. At initial stages, it is difficult to differentiate dengue virus symptoms with other similar diseases. The main objective of this research is to diagnose dengue virus infection in human blood sera for better treatment and rehabilitation process. A novel and robust approach is proposed based on Raman spectroscopy and deep learning. In this regard, the ResNet101 deep learning model is modified by exploiting transfer learning (TL) concept on Raman spectroscopic data of human blood sera. Sample size was selected using standard statistical tests. The proposed model is evaluated on 2,000 Raman spectra images in which 1,200 are DENV-infected of human blood sera samples, and 800 are healthy ones. It offers 96.0% accuracy on testing data for DENV infection diagnosis. Moreover, the developed approach demonstrated minimum improvement of 6.0% and 7.0% in terms of AUC and Kappa index respectively over the other state-of-the-art techniques. The developed model offers superior performance to capture minute Raman spectral variations due to the better residual learning capability and generalization ability compared to others deep learning models. The developed model revealed that it might be applied for diagnosis of DENV infection to save precious human lives.
Barriers and Facilitators to the Implementation of Effective Alcohol Control Policies: A Scoping Review

Implementation of effective alcohol control policies is a global priority. However, at the global and national levels, implementing effective policies is still challenging, as it requires commitment from multiple stakeholders. This review provides a synthesis of barriers and facilitators to implementing effective alcohol control policies. We conducted a scoping review from two main databases: Scopus and Web of Science, and the grey literature from the World Health Organization’s website. We included any studies investigating barriers and facilitators to implementing four effective policies: Alcohol pricing and taxation, control of physical availability, alcohol marketing control, and drink-driving policy. Articles published between 2000 and 2021 were included. The search yielded 11,651 articles, which were reduced to 21 after the assessment of eligibility criteria. We found five main barriers: resource constraint; legal loopholes; lack of evidence to support policy implementation, particularly local evidence; low priority of policy implementation among responsible agencies; and insufficient skills of implementers. Facilitators, which were scarce, included establishing monitoring systems and local evidence to support policy implementation and early engagement of implementing agencies and communities. We recommend that national governments pay more attention to potential barriers and facilitators while designing alcohol control regulations and implementing effective policies.
Development of a Screening Tool for Rapid Fly Ash Evaluation for Mitigating Alkali Silica Reaction in Concrete

Performance-based approaches to evaluate fly ash effectiveness in suppressing alkali silica reaction (ASR) require testing for a range of replacement levels to determine optimum fly ash dosage. Current approaches of ASR evaluation, that is, determining optimum fly ash dosage for ASR mitigation, are impractical as a mix design tool for new concrete construction. Therefore, in the present work a screening tool is developed to predict optimum fly ash dosage to suppress ASR in concrete mixes. The screening tool uses water-soluble (readily available) alkali from fly ash and cement to determine pore solution alkalinity (PSA) of concrete mixes for different fly ash replacement levels. The optimum fly ash dosage in concrete to mitigate ASR is estimated based on the PSA and aggregate threshold alkalinity (THA) relationship, that is, PSA should be ≤THA to make the mix ASR mitigated. Results from the screening tool demonstrate an 82% reliability in predicting fly ash dosage necessary to keep expansions below 0.04% based on AASHTO TP 142 tests for ASR expansion. In addition, a multiple non-linear regression model was developed to predict water-soluble alkali from fly ashes in place of testing using 50 experimental data points from laboratory measurements and literature studies. Overall, the screening tool presents a rapid and reliable approach to determine the optimum fly ash content required for ASR mitigation based on pore solution composition of mixes and aggregate reactivity.
Impact of Process Variation on Nanosheet Gate-All-Around Complementary FET (CFET)

In this work, dc characteristic variations of nanosheet (NS) gate-all-around (GAA) complementary FET (CFET) induced by process fluctuations are investigated for the first time. Four process variability sources including work-function variation (WFV), line edge roughness (LER), gate edge roughness (GER), and random dopant fluctuation (RDF) are characterized. Compared to the conventional NA GAA FET, the differences mainly exist in GER. The electrostatic potential variation induced by GER in CFET is affected by both the common metal gate and the additional p-type work-function (p-WF) liner for p-FET. Therefore, the impact of GER on p-FET is much larger than n-FET as well as conventional NS GAA FET. Thickening the p-WF liner is proposed to overcome the drawback. Calculated overall variations considering all process fluctuation sources are also discussed, highlighting the impact of the dual-WF gate on p-FET. The results are helpful for the characterization and optimization of variations in CFET and precise CFET-based circuit design.
The Role of Prebiotics and Probiotics in Human Health: A Systematic Review with a Focus on Gut and Immune Health

Probiotics, and more recently prebiotics, are the subject of increasing research for an understanding of their impact on the gut microbiota, gut health and immune health. The science is advancing, with benefits of probiotics in certain types of diarrhoea, inflammatory bowel disease, irritable bowel syndrome, and also eczema in children well established. The study of the gut microbiota is leading to the discovery of potential benefits in organs beyond the gut including the brain, cardiometabolic system, the lungs, the eyes and the oral cavity. Researchers are beginning to understand the mechanisms by which these health outcomes occur and are obtaining clinical evidence supporting these newly emerging areas. This review describes the concept of probiotics and prebiotics, explains the importance of the gut microbiota in health and disease and discusses the role of probiotics in gut and immune health as well as clinical evidence-based interventions with probiotic and prebiotic supplements.
Supply chain ambidexterity and performance under uncertainty: The case of inter-island logistics in Indonesia

This study investigated the impact of supply chain ambidexterity on supply chain performance (SCP) under uncertainties. The dynamic capability theory of firms was adopted in the supply chain to design a research framework that recommends a supply chain strategy under uncertainties pertaining to inter-island logistics in Indonesia. This study involved the survey of 140 large-scale companies delivering products across the Indonesian islands to identify the supply chain uncertainties by analyzing data using SmartPLS. The supply chain ambidexterity (SAM) was identified to exhibit no direct correlation with SCP; however, agile supply chain (ASC) and lean supply chain (LSC) could indirectly relate the SAM and SCP. For supply chain professionals, the results indicated that SCP cannot be achieved solely through SAM, thereby necessitating the development of LSCs and/or ASCs, driven from SAM, to achieve SCP. Thus, this study empirically confirmed ASC and LSC to be effective practices for mitigating supply chain uncertainties by mediating supply chain ambidexterity on SCP.
Mining Hidden Partitions of Voice Utterances using Fuzzy Clustering for Generalized Voice Spoofing Countermeasures

—The high level of usability achieved by voice biomet- rics compared to other biometric authentication modalities has promoted the widespread use of automatic speaker veriﬁcation (ASV) systems as authentication tools for several services in various domains. Despite their satisfactory performance, ASV systems are vulnerable to malicious voice spooﬁng attacks. Hence, voice spooﬁng countermeasures have emerged as essential solutions to stop such harmful attacks and protect ASV systems as well as users’ conﬁdentiality. Typically, these countermeasures classify utterances into genuine and spooﬁng categories. In this research, we propose two voice spooﬁng countermeasures that mainly aim to improve the generalization of supervised learning models. This goal is achieved through the adaptive handling of the high variance of both utterance classes, i.e., genuine and spooﬁng classes. The proposed spooﬁng countermeasure addresses the poor generalization problem by identifying the hidden structure of each utterance category prior to the classiﬁcation task. Specif- ically, fuzzy clustering algorithms were deployed to mine the hidden partitions of utterance classes. The conducted experiments showed that the proposed approach outperforms the state-of-the-art approaches in the ASVspoof 2017 dataset, with a testing EER equal to 1.07%.
Effectiveness of Water Hyacinth Bioconversion and Fermented Fruit Waste as a Growing Media Larvae of Hermetia illucens

Black Soldier Fly (BSF) larvae have cellulosic activity in the presence of bacteria in their intestines. Generally, the organisms that play a role in bioconversion process are bacteria, and Hermetia illucens larvae as a bioconversion agent for fermented water hyacinth are combined with fruit waste and used as a growth medium. The purpose of this study was to determine the increase in larva mass weight, feed conversion efficiency, waste reduction index from water hyacinth bioconversion activity and fermented fruit waste by Hermetia illucens larvae. Hermetia illucens larvae are treated with feeding P0 = 100 % fruit waste, P1 = Fruit waste 25 % + 75 % fermented water hyacinth, P2 = 50 % fruit waste + 50 % fermented water hyacinth, and P3 = 75 % fruit waste + 25 % fermented water hyacinth. The larvae used were 6 days old, for all treatments 50 g used. The results showed that P3 = 75 % fruit waste + 25 % fermented water hyacinth produced the highest average final mass weight of larvae, namely 124.62 g, average feed consumption was 72.72 %, average ECD and WRI values were 10.98 % and 10.38 %, respectively. The mixing level of water hyacinth and fermented fruit waste in treatment 3 showed effective results as a medium for the growth of Hermetia illucens larvae.
In-Vitro Antibacterial Activity of Curcumin-Loaded Nanofibers Based on Hyaluronic Acid against Multidrug-Resistant ESKAPE Pathogens

Bacterial infections have accompanied humanity throughout its history and became vitally important in the pandemic area. The most pathogenic bacteria are multidrug-resistant strains, which have become widespread due to their natural biological response to the use of antibiotics, including uncontrolled use. The current challenge is finding highly effective antibacterial agents of natural origin, which, however, have low solubility and consequently poor bioavailability. Curcumin, derived from Curcuma longa, is an example of a natural biologically active agent with a wide spectrum of biological effects, particularly against Gram-positive bacteria. However, curcumin exhibits extremely low antibacterial activity against Gram-negative bacteria. Curcumin’s hydrophobicity limits its use in medicine. As such, various polymeric systems have been used, especially biopolymer-based electrospun nanofibers. In the present study, the technological features of the fabrication of curcumin-loaded hyaluronic acid-based nanofibers are discussed in detail, their morphological characteristics, wettability, physico-chemical properties, and curcumin release profiles are demonstrated, and their antibacterial activity against multi-drug resistant ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species) are evaluated. It is noteworthy that the fibers containing a stable HA–curcumin complex showed high antibacterial activity against both Gram-positive and Gram-negative bacteria, which is an undeniable advantage. It is expected that the results of this work will contribute to the development of antibacterial drugs for topical and internal use with high efficacy and considerably lower side effects.