Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-configurable, expandable, and cost-effective heterogeneous FPGA cluster approach for resource-constrained data analysis

Field programmable gate arrays (FPGAs) have become widely prevalent in recent years as a great alternative to application-specific integrated circuits (ASIC) and as a potentially cheap alternative to expensive graphics processing units (GPUs). Introduced as a prototyping solution for ASIC, FPGAs are now widely popular in applications such as artificial intelligence (AI) and machine learning (ML) models that require processing data rapidly. As a relatively low-cost option to GPUs, FPGAs have the advantage of being reprogrammed to be used in almost any data-driven application. In this work, we propose an easily scalable and cost-effective cluster-based co-processing system using FPGAs for ML and AI applications that is easily reconfigured to the requirements of each user application. The aim is to introduce a clustering system of FPGA boards to improve the efficiency of the training component of machine learning algorithms. Our proposed configuration provides an opportunity to utilise relatively inexpensive FPGA development boards to produce a cluster without expert knowledge in VHDL, Verilog, or the system designs related to FPGA development. Consisting of two parts – a computer-based host application to control the cluster and an FPGA cluster connected through a high-speed Ethernet switch, allows the users to customise and adapt the system without much effort. The methods proposed in this paper provide the ability to utilise any FPGA board with an Ethernet port to be used as a part of the cluster and unboundedly scaled. To demonstrate the effectiveness of the proposed work, a two-part experiment to demonstrate the flexibility and portability of the proposed work – a homogeneous and heterogeneous cluster, was conducted with results compared against a desktop computer and combinations of FPGAs in two clusters. Data sets ranging from 60,000 to 14 million, including stroke prediction and covid-19, were used in conducting the experiments. Results suggest that the proposed system in this work performs close to 70% faster than a traditional computer with similar accuracy rates. GRAPHICAL ABSTRACT
Towards Robust Semantic Role Labeling

Most semantic role labeling (SRL) research has been focused on training and evaluating on the same corpus. This strategy, although appropriate for initiating research, can lead to over-training to the particular corpus. This article describes the operation of ASSERT , a state-of-the art SRL system, and analyzes the robustness of the system when trained on one genre of data and used to label a different genre. As a starting point, results are ﬁrst presented for training and testing the system on the PropBank corpus, which is annotated Wall Street Journal (WSJ) data. Experiments are then presented to evaluate the portability of the system to another source of data. These experiments are based on comparisons of performance using PropBanked WSJ data and PropBanked Brown Corpus data. The results indicate that whereas syntactic parses and argument identiﬁcation transfer relatively well to a new corpus, argument classiﬁcation does not. An analysis of the reasons for this is presented and these generally point to the nature of the more lexical/semantic features dominating the classiﬁcation task where more general structural features are dominant in the argument identiﬁcation task.
In situ synthesis of poly(N-isopropylacrylamide) decorated with silver nanoparticles using pulsed electrical discharge in contact with water interface

Abstract Currently, the combination between metal nanoparticles and polymers have gathered some attention, especially in the case of a polymer like poly(N-Isopropylacrylamide) (PNIPAM) which is a temperature-responsive polymer that changes from hydrophilic to hydrophobic at around 32 °C. This property together with the innate properties of silver nanoparticles (e.g. thermal and antimicrobial activity) poses an interesting option for a nanocomposite that can be used as drug carrier, tissue scaffold, and many other biomedical applications. In-situ synthesis performed by pulsed discharges has barely been reported nor has been fully researched. In this work, in-situ synthesis was performed by variating the ratio of NIPAM and silver nitrate solution, resulting in square shaped nanoparticles with sizes in the range of 50 to 500 nm distributed in the polymer matrix and sphere-shaped nanoparticles entangled in the polymer matrix. These results demonstrate an interesting and novel synthesis process for nanomaterial composites with future biomedical applications. Graphical Abstract
Prevalence and molecular study of moniezia species isolate from cattle in Wasit Province, Iraq

Moniezia spp. parasitize the intestines of ruminants causing Monieziasis, M. expansa and M. benedeni (Cyclophyllidea: Anoplocephalidae) are large species of tapeworm that occurs in sheep and cattle and inhabits the small intestine.The current study was conducted during the period from December 2020 to August 2021 for detect the infection of Moniezia parasite in cattle using the traditional and molecular diagnostic methods as well as for confirmation of Moniezia spp. in cattle by the phylogenetic analysis. The samples fresh adult worms Moniezia were collected from intestines of cattle the locations of samples were obtained from abattoirs in Wasit province and also regarding months, sexes and ages affecting on infection prevalence rate.Results of microscopically, the samples fresh adult worms Moniezia spp. were collected from intestines of 125 cattle and stained with semichon's acid carmine and examined by light microscope, the results were revealed on 6 (4.8%) positive. Concerning to Moniezia spp. have been identified and classified out of 6 from cattle showed that M. expansa and M. benedeni 3 (50%) and 3(50%)respectively, without a significant difference.
A Modified Framework for Multislice Image Fusion for High Contrast Liver Cancer Detection

ABSTRACT The exact boundary extraction of liver using abdominal computed tomography (CT) images continues to be the greatest challenge in the computer-assisted diagnosis of liver tumour, as the organ boundary is very weak. In this paper, an efficient algorithm is proposed to enhance the edge information of the CT images prior to segmentation, by means of multislice image fusion and anisotropic diffusion filtering in non-subsampled contourlet (NSCT) domain. The two adjacent slices of CT images are decomposed using NSCT, and the fusion of low- and high-frequency coefficients is obtained by means of phase congruency and sum-modified Laplacian operators, respectively. The major highlight of this work is that, prior to high-frequency fusion; the high-frequency coefficients of both images are processed using anisotropic diffusion to strengthen the edge information. Finally, the edge-enhanced image is obtained by NSCT reconstruction. The performance metrics show that the information pertaining to the edges is found to be precise in the fused image. The proposed logic, when applied to the real-time contrast-enhanced triple-phase CT image, has proven to be highly effective. All the image samples used in this work for test purpose were obtained from Jawaharlal Institute of Postgraduate Medical Education Research (JIPMER), a Medical Research Institute and Hospital at Puducherry, India.
Analysis of the sensitivity and dynamic characteristics of the birefringent fiber temperature response for realization of the thermal field disturbance sensor

The paper deals with the analytical description of the sensitivity and dynamic characteristics of the birefringent fiber temperature response usable for realization of thermal field disturbance sensors. The response is given by changing the phase shift development between two polarization modes in birefringent fiber, caused by body heat transfer of different temperatures. The aim is to analyze sensitivity and dynamic behaviors, which are significant when optical fiber is used as a sensor of temperature field disturbance. The result shows a very good match with measured time responses, especially due to a specific arrangement for suppressing the influence of conduction and convection.
PNA-Modified Liposomes Improve the Delivery Efficacy of CAPIRI for the Synergistic Treatment of Colorectal Cancer

Tumor-associated antigen mucin 1 (MUC1) is highly expressed in colorectal cancer and is positively correlated with advanced stage at diagnosis and poor patient outcomes. The combination of irinotecan and capecitabine is standard chemotherapy for metastatic colorectal cancer and is known as XELIRI or CAPIRI, which significantly prolongs the progression-free survival and overall survival of colorectal cancer patients compared to a single drug alone. We previously reported that peanut agglutinin (PNA)-conjugated liposomes showed enhanced drug delivery efficiency to MUC1-positive liver cancer cells. In this study, we prepared irinotecan hydrochloride (IRI) and capecitabine (CAP)-coloaded liposomes modified by peanut agglutinin (IRI/CAP-PNA-Lips) to target MUC1-positive colorectal cancer. The results showed that IRI/CAP-PNA-Lips showed an enhanced ability to target MUC1-positive colorectal cancer cells compared to unmodified liposomes. Treatment with IRI/CAP-PNA-Lips also increased the proportion of apoptotic cells and inhibited the proliferation of colorectal cancer cells. The targeting specificity for tumor cells and the antitumor effects of PNA-modified liposomes were significantly increased in tumor-bearing mice with no severe cytotoxicity to normal tissues. These results suggest that PNA-modified liposomes could provide a new delivery strategy for the synergistic treatment of colorectal cancer with clinical chemotherapeutic agents.
“Room to Reflect”: A Pilot Workplace Resiliency Intervention for Nurses

Rising workload demands for nurses necessitate the implementation of easily accessible and innovative clinician well-being resources on health care units. This pre/post pilot study sought to measure the impact of a mobile workplace intervention, “Room to Reflect” on staff nurse and nurse manager resilience. A mobile toolbox with a sound machine, Virtual Reality headset, and associated Quick Response code audio/video offerings, and a paper Pocket Guide of mindful restoration practices were provided to 7 health care units for a 3 month period. Pre/post questionnaires assessed perceived resilience using the Connor-Davidson Resilience scale, and intervention feasibility (ease of use), accessibility (spaces used), and effectiveness (restoration). Data analysis consisted of descriptive statistics, paired and independent samples t-tests, and Wilcoxon Signed Rank tests. From the pre (n = 97) to post (n = 57) intervention period, there was a significant difference in resilience for Clinician 3 staff nurses. A mean increase in resilience was noted among nurse managers following participation in the intervention, z = −2.03, p < 0.05. The Pocket Guide was the easiest offering to use, while VR offerings were accessed the most through Quick Response code. Space and time were the most common barriers to Room to Reflect use. Staff nurses felt supported by managers to use the program, and managers perceived that the program improved nurse job satisfaction.
Introducing grip force as a nonverbal measure of bilingual feelings

Abstract Bilinguals’ emotions can vary in intensity with the language of a stimulus. Yet, extant research has somewhat surprisingly accepted inconsistent results from implicit nonverbal and explicit verbal emotion measures. To date, it is unclear if this inconsistency recurs to conceptual or methodological differences. We therefore investigated if squeezing a handheld dynamometer is a valid nonverbal, “visceral” alternative to self-reported language-dependent feelings by comparing explicit ratings to neuro-physiological emotional reactions. We replicated two pupillometry experiments inducing language-dependent emotions through sentence reading (Study 1) and listening to narrative video commercials (Study 2) of low and high emotionality in the first or second language. Pupillometry confirmed that bilinguals are more sensitive to the low-high emotionality contrast in their first than second language. Grip force (but not duration) mirrored these findings, whereas verbal ratings did not. We thus recommend grip force as a new attentional, nonverbal measure for bilingualism research.
Multimodal-Based and Aesthetic-Guided Narrative Video Summarization

Narrative videos usually illustrate the main content through multiple narrative information such as audios, video frames and subtitles. Existing video summarization approaches rarely consider the multiple dimensional narrative inputs, or ignore the impact of shots artistic assembly when directly applied to narrative videos. This paper introduces a multimodal-based and aesthetic-guided narrative video summarization method. Our method leverages multimodal information including visual content, subtitles and audio information through our specified key shots selection, subtitle summarization, and highlight extraction components. Furthermore, under the guidance of cinematographic aesthetic, we design a novel shots assembly module to ensure the shot content completeness and then assemble the selected shots into a desired summary. Besides, our method also provides the flexible specification for shots selection, to achieve which it automatically selects semantically related shots according to the user-designed text. By conducting a large number of quantitative experimental evaluations and user studies, we demonstrate that our method effectively preserves important narrative information of the original video, and it is capable of rapidly producing high-quality and aesthetic-guided narrative video summaries.
Discovery of GSK3β Inhibitors through In Silico Prediction-and-Experiment Cycling Strategy, and Biological Evaluation

Direct inhibitors of glycogen synthase kinase 3β (GSK3β) have been investigated and reported for the past 20 years. In the search for novel scaffold inhibitors, 3000 compounds were selected through structure-based virtual screening (SBVS), and then high-throughput enzyme screening was performed. Among the active hit compounds, pyrazolo [1,5-a]pyrimidin-7-amine derivatives showed strong inhibitory potencies on the GSK3β enzyme and markedly activated Wnt signaling. The result of the molecular dynamics (MD) simulation, enhanced by the upper-wall restraint, was used as an advanced structural query for the SBVS. In this study, strong inhibitors designed to inhibit the GSK3β enzyme were discovered through SBVS. Our study provides structural insights into the binding mode of the inhibitors for further lead optimization.
Risk-Based Two-Stage Stochastic Optimization Problem of Micro-Grid Operation with Renewables and Incentive-Based Demand Response Programs

The operation problem of a micro-grid (MG) in grid-connected mode is an optimization one in which the main objective of the MG operator (MGO) is to minimize the operation cost with optimal scheduling of resources and optimal trading energy with the main grid. The MGO can use incentive-based demand response programs (DRPs) to pay an incentive to the consumers to change their demands in the peak hours. Moreover, the MGO forecasts the output power of renewable energy resources (RERs) and models their uncertainties in its problem. In this paper, the operation problem of an MGO is modeled as a risk-based two-stage stochastic optimization problem. To model the uncertainties of RERs, two-stage stochastic programming is considered and conditional value at risk (CVaR) index is used to manage the MGO’s risk-level. Moreover, the non-linear economic models of incentive-based DRPs are used by the MGO to change the peak load. The numerical studies are done to investigate the effect of incentive-based DRPs on the operation problem of the MGO. Moreover, to show the effect of the risk-averse parameter on MGO decisions, a sensitivity analysis is carried out.
Localization of multiple acoustic emission events occurring closely in time in thin-walled pipes using sparse reconstruction

A sparse reconstruction approach capable of localizing multiple acoustic emission events is proposed. The approach is specifically designed for localizing events that occur closely in time, where triangulation methods can fail. To perform localization, the approach uses information contained in the entire length of acoustic emission signals and is implemented using the matching pursuit algorithm. Implementation is considered theoretically for large-diameter thin-walled pipes. The approach is validated on experimental data of simulated acoustic emission events in a thin-walled pipe. The experimental data correspond to helical guided ultrasonic waves generated by standard pencil lead breaks (Hsu-Nielsen sources) on its outer surface. The acoustic emission signals are recorded by sparsely distributed low-profile piezoelectric transducers instrumented on the outer surface. Experimental examples are presented for the failure of the triangulation method when multiple sources are present while highlighting the capabilities of the proposed technique. It is demonstrated that the approach possesses the ability of localizing multiple events occurring closely in time. An example is also presented for the localization of a more commonly encountered isolated acoustic emission event.
Low-to-high refractive index contrast transition (RICT) device for low loss polymer-based optical coupling

We propose for the first time a coupling device concept for passive low-loss optical coupling, which is compatible with the ‘generic’ indium phosphide (InP) multi-project-wafer manufacturing. A low-to-high vertical refractive index contrast transition InP waveguide is designed and tapered down to adiabatically couple light into a top polymer waveguide. The on-chip embedded polymer waveguide is engineered at the chip facets for offering refractive-index and spot-size-matching to silica fiber-arrays. Numerical analysis shows that coupling losses lower than 1.5 dB can be achieved for a TE-polarized light between the InP waveguide and the on-chip embedded polymer waveguide at 1550 nm wavelength. The performance is mainly limited by the difficulty to control single-mode operation. However, coupling losses lower than 1.9 dB can be achieved for a bandwidth as large as 200 nm. Moreover, the foreseen fabrication process steps are indicated, which are compatible with the ‘generic’ InP multi-project-wafer manufacturing. A fabrication error tolerance study is performed, indicating that fabrication errors occur only in 0.25 dB worst case excess losses, as long as high precision lithography is used. The obtained results are promising and may open the route to large port counts and cheap packaging of InP-based photonic integrated chips.
Assessment of Fasudil on Contrast-Associated Acute Kidney Injury Using Multiparametric Renal MRI

Aims: To evaluate the utility of fasudil in a rat model of contrast-associated acute kidney injury (CA-AKI) and explore its underlying mechanism through multiparametric renal magnetic resonance imaging (mpMRI). Methods: Experimental rats (n = 72) were grouped as follows: controls (n = 24), CA-AKI (n = 24), or CA-AKI + Fasudil (n = 24). All animals underwent two mpMRI studies (arterial spin labeling, T1 and T2 mapping) at baseline and post iopromide/fasudil injection (Days 1, 3, 7, and 13 respectively). Relative change in renal blood flow (ΔRBF), T1 (ΔT1) and T2 (ΔT2) values were assessed at specified time points. Serum levels of cystatin C (CysC) and interleukin-1β (IL-1β), and urinary neutrophil gelatinase-associated lipocalin (NGAL) concentrations were tested as laboratory biomarkers, in addition to examining renal histology and expression levels of various proteins (Rho-kinase [ROCK], α-smooth muscle actin [α-SMA]), hypoxia-inducible factor-1α (HIF-1α), and transforming growth factor-β1 (TGF-β1) that regulate renal fibrosis and hypoxia. Results: Compared with the control group, serum levels of CysC and IL-1β, and urinary NGAL concentrations were clearly increased from Day 1 to Day 13 in the CA-AKI group (all p < 0.05). There were significant reductions in ΔT2 values on Days 1 and 3, and ΔT1 reductions were significantly more pronounced at all time points (Days 1–13) in the CA-AKI + Fasudil group (vs. CA-AKI) (all p < 0.05). Fasudil treatment lowered expression levels of ROCK-1, and p-MYPT1/MYPT1 proteins induced by iopromide, decreasing TGF-β1 expression and suppressing both extracellular matrix accumulation and α-SMA expression relative to untreated status (all p < 0.05). Fasudil also enhanced PHD2 transcription and inhibition of HIF-1α expression after CA-AKI. Conclusions: In the context of CA-AKI, fasudil appears to reduce renal hypoxia, fibrosis, and dysfunction by activating (Rho/ROCK) or inhibiting (TGF-β1, HIF-1α) certain signaling pathways and reducing α-SMA expression. Multiparametric MRI may be a viable noninvasive tool for monitoring CA-AKI pathophysiology during fasudil therapy.
Structure Characterization, Immunological Activity, and Mechanism of a Polysaccharide From the Rhizome of Menispermum dauricum DC

The purpose of this study was to investigate the structural characterization and immunological activity in vitro and in vivo of a polysaccharide from the rhizome of Menispermum dauricum. A new polysaccharide named MDP was isolated from the rhizome of Menispermum dauricum by hot water extraction, ethanol precipitation, anion-exchange, and gel-filtration chromatography. MDP was homogeneous and had a molecular weight of 6.16 ×103 Da, and it was an α-D-glucan containing a (1 → 6)-linked backbone, with a glucosyl residue at the C-3 position along the main chain. MDP exhibited immunological activity in vitro, which could significantly promote the proliferation and phagocytosis of RAW264.7 cells and the release of TNF-α and IL-6 factors. For immunological activity in vivo. MDP could significantly increase the thymus and spleen indices, enhance the macrophage function, increase the level of cytokine (IL-6 and TNF-α) and immunoglobulin IgM in the serum and regulate T lymphocyte subsets. Furthermore, MDP elevated the expression of the critical nodes in the TLR4-MyD88 signaling pathways in vivo. These results support the concept that MDP may exhibit immunological activity through TLR4-MyD88 signaling pathway in vivo.
Quantum-dot single-photon source on a CMOS silicon photonic chip integrated using transfer printing

Silicon photonics is a powerful platform for implementing large-scale photonic integrated circuits (PICs), because of its compatibility with mature complementary-metal-oxide-semiconductor (CMOS) technology. Exploiting silicon-based PICs for quantum photonic information processing (or the so-called silicon quantum photonics) provides a promising pathway for large-scale quantum applications. For the development of scalable silicon quantum PICs, a major challenge is integrating on-silicon quantum light sources that deterministically emit single photons. In this regard, the use of epitaxial InAs/GaAs quantum dots (QDs) is a very promising approach, because of their capability of deterministic single-photon emission with high purity and indistinguishability. However, the required hybrid integration is inherently difficult and often lacks the compatibility with CMOS processes. Here, we demonstrate a QD single-photon source (SPS) integrated on a glass-clad silicon photonic waveguide processed by a CMOS foundry. Hybrid integration is performed using transfer printing, which enables us to integrate heterogeneous optical components in a simple pick-and-place manner and thus assemble them after the entire CMOS process is completed. We observe single-photon emission from the integrated QD and its efficient coupling into the silicon waveguide. Our transfer-printing-based approach is fully compatible with CMOS back-end processes, and thus will open the possibility for realizing large-scale quantum PICs that leverage CMOS technology.