Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Approach of a K-Band FMCW Radar for Breast Cancer Detection using a Full System-Level EM Simulation

The use of microwaves as an imaging technique in biomedical applications has attracted a great deal of interest in recent years. In this work we present the system level design approach of an FMCW radar system for the detection of breast cancer operating from 14 to 27 GHz with a depth resolution of less than 5 mm. To do this, we simulated a complete setup with transmitting and receiving antenna, skin, fat and tumorous tissues using a 3D electromagnetic solver. Based on these results, we performed a systematic full level modelling to obtain the resulting intermediate frequencies for different tumor depths. The link between system modelling and 3D simulation is possible because the total simulation volume is very small compared to typical radar applications. The workflow is shown schematically in Fig. 1. This approach can of course also be transferred to other comparable applications. The obtained results show that an FMCW radar system is able to detect tumors in breast tissue with a high fat content and to distinguish between different depths. Based on our approach, we also show a possibility for 3D imaging of female breasts.
Likewise , small temperature elevations in rodent models of ischemic injury critically affect outcome ( for a review see

Hyperthermia worsens outcome in clinical and experimental studies of ischemic stroke. Thus, we tested whether hyperthermia aggravates intracerebral hemorrhage (ICH) in rats. A striatal hemorrhage was produced via an infusion of bacterial collagenase. In a preliminary experiment, we compared brain and core temperatures (via telemetry) during heating (infrared lamp). The brain temperature rise exceeded that produced by enforced core hyperthermia, which was used subsequently. In these experiments up to three hyperthermia conditions (versus normothermia) were tested including: hyperthermia (438.51C) over the first (HYP-1) or second 24 h period (HYP-2) after ICH and 3 h of 401C hyperthermia starting 12 h after ICH (HYP-3). The HYP-1, HYP-2, and HYP-3 treatments did not affect functional deficits (e.g., spontaneous forelimb use, skilled reaching) or the volume of injury at 30 days. Furthermore, the HYP-1 treatment did not aggravate injury or deficits at 7 days. Bleeding and inflammation, which contribute to pathology, were not significantly altered by HYP-1 and HYP-3 treatments. Bleeding was assessed at 1 day, and macrophages and neutrophils were counted at 2 and 4 days. Accordingly, hyperthermia, under the present conditions, did not worsen outcome after striatal ICH. Journal of Cerebral Blood Flow & Metabolism (2005) 25, 1020–1029 doi:10.1038/sj.jcbfm. 9600099; published online 2 March 2005
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images

Malaria is a life-threatening disease caused by female anopheles mosquito bites. Various plasmodium parasites spread in the victim’s blood cells and keep their life in a critical situation. If not treated at the early stage, malaria can cause even death. Microscopy is a familiar process for diagnosing malaria, collecting the victim’s blood samples, and counting the parasite and red blood cells. However, the microscopy process is time-consuming and can produce an erroneous result in some cases. With the recent success of machine learning and deep learning in medical diagnosis, it is quite possible to minimize diagnosis costs and improve overall detection accuracy compared with the traditional microscopy method. This paper proposes a multiheaded attention-based transformer model to diagnose the malaria parasite from blood cell images. To demonstrate the effectiveness of the proposed model, the gradient-weighted class activation map (Grad-CAM) technique was implemented to identify which parts of an image the proposed model paid much more attention to compared with the remaining parts by generating a heatmap image. The proposed model achieved a testing accuracy, precision, recall, f1-score, and AUC score of 96.41%, 96.99%, 95.88%, 96.44%, and 99.11%, respectively, for the original malaria parasite dataset and 99.25%, 99.08%, 99.42%, 99.25%, and 99.99%, respectively, for the modified dataset. Various hyperparameters were also finetuned to obtain optimum results, which were also compared with state-of-the-art (SOTA) methods for malaria parasite detection, and the proposed method outperformed the existing methods.
Mitigating Range Ambiguities With Advanced Nonlinear Frequency Modulation Waveform

Range ambiguity suppression is a technical challenge for current synthetic aperture radar systems. A potential solution is to orthogonally modulate the transmitting pulses; however, these orthogonal waveforms (e.g., up-down chirp waveforms) actually cannot reduce the cross correlation energy (CCE). Nonlinear frequency modulation (NLFM) waveform can change the time–frequency relationship to adjust the energy distribution within the bandwidth to reduce the CCE. In this letter, a novel orthogonal NLFM waveform optimization framework is proposed. Through this framework, advanced NLFM waveforms with low sidelobe and CCE are constructed. Furthermore, point and distributed scene simulation results are presented to verify the practicability of the proposed waveforms. In addition, the system scheme, waveform design, and range ambiguity suppression performance are detailed.
Electrophysiological Measure of Impaired Information Processing in Drivers with Hematological Malignancy

The broad goal of this study is to measure remote effects of cancer on brain physiology and behaviors that underpin instrumental activities of daily living such as automobile driving. Studies of hematological malignancies (HM) have demonstrated impairments in multiple brain functions shown to be critical for safe automobile driving. In the current pilot study, brain physiology during driving simulation was examined in 14 HM patients and 13 healthy comparison drivers. Electroencephalography was used to measure the eye fixation-related potential (EFRP)—a positive amplitude deflection evoked approximately 100 milliseconds after eye movement termination. Previous studies have demonstrated sensitivity of EFRP activity to information-processing capacity. All drivers completed visual search tasks to evaluate the relationship between driving-related changes in performance and EFRP activity. Results showed smaller EFRP amplitudes in drivers who had: (1) greater driving-related changes in visual search performance (p = 0.03, Cohen’s d = 0.91); and (2) HM diagnosis (p = 0.18, Cohen’s d = 0.54). Extending previous studies, these results provide neural evidence of reduced information-processing capacity associated with cancer diagnosis. Future large-scale studies are needed to confirm these results, given the high level of uncertainty and small sample size. This study provides a novel platform for linking changes in brain physiology and safety-critical driving behaviors.
ISOLATION OF AN ASCOMYCOTA FUNGUS FROM SOIL AND ITS IDENTIFICATION USING DNA BARCODE

In this study Ascomycota fungi was isolated from the soil collected from cucumber field. The micromorphological characters of the isolated fungus were muddling with overlapping characters and identification was unwhole. Hence, nuclear ribosomal internal transcribed spacer (ITS) region, the ideal molecular marker, accepted as DNA barcode for fungal identification was sequenced and compared with the existing GenBank, NCBI, database to identify the species. This sequence was deposited in GenBank, NCBI under the accession number MW945403. Based on the homology and phylogenetic analysis, the isolated fungus was identified as Acrothecium nigrum which is the first report of its presence in the cucumber field.
The impact of Energy Performance Certificates on building deep energy renovation targets

ABSTRACT The purpose of this paper is to investigate the effect of Energy Performance Certificates (EPCs) on the renovation of buildings. Thus, through the European project ENERFUND, 2 online web-based surveys were conducted in 12 countries of the European Union. It was shown that the results varied significantly both between countries and age groups and, that, on average, EPCs did play a role both in renovation decisions and whether to rent/buy a certain flat. In addition, this paper presents major key drivers and parameters related to energy renovation investment mobilisation and suggests actions that can contribute to the promotion of investments for deep energy renovation of buildings. Furthermore, it highlights potential benefits and effectiveness of using retrofitting online tools, such as the ENERFUND tool, pinpoints market failures in the building sector and provides suggestions on increasing the deep energy renovation market in Europe.
Controllable Shrinking Fabrication of Solid-State Nanopores

Nanopores have attracted widespread attention in DNA sequencing and protein or biomarker detection, owning to the single-molecule-scale detection accuracy. Despite the most use of naturally biological nanopores before, solid-state nanopores are widely developed with strong robustness, controllable sizes and geometries, a wide range of materials available, as well as flexible manufacturing. Therefore, various techniques typically based on focused ion beam or electron beam have been explored to drill nanopores directly on free-standing nanofilms. To further reduce and sculpt the pore size and shape for nano or sub-nano space-time sensing precision, various controllable shrinking technologies have been employed. Correspondingly, high-energy-beam-induced contraction with direct visual feedback represents the most widely used. The ability to change the pore diameter was attributed to surface tension induced original material migration into the nanopore center or new material deposition on the nanopore surface. This paper reviews typical solid-state nanopore shrinkage technologies, based on the careful summary of their principles and characteristics in particularly size and morphology changes. Furthermore, the advantages and disadvantages of different methods have also been compared completely. Finally, this review concludes with an optimistic outlook on the future of solid-state nanopores.
Jet-Installation Noise Reduction with Permeable Flaps at In-Flight Conditions

An experimental investigation on jet-installation noise reduction with permeable flaps on an aircraft half-model is performed, focusing on the effects on the noise levels as well as on the aerodynamic properties of the model (lift and drag forces). A nozzle with an exit diameter 𝑫 𝒋 = 113 mm is included for generating a single-stream jet flow in the vicinity of the airframe. Two perforated flaps with different hole distributions are investigated. The first one has a uniform hole distribution with equal hole spacing in both streamwise and spanwise directions, whereas the second one has a gradient permeability with the hole spacing progressively decreasing towards the trailing edge. Aerodynamic force measurements, carried out with a balance, show that the permeable flaps are responsible for a lift reduction in the order of 7%, and a slight drag increase, in the order of 0.5%, with the gradient permeability flap outperforming the uniform one. Flow-field maps indicate that the effect on lift is linked to the formation of side-edge vortices at the spanwise positions corresponding to the discontinuity between solid and porous regions. Acoustic results obtained from phased array measurements show that the source at the flap trailing edge, generated by the interaction with the jet, reduces by 3 dB in amplitude with both permeable flaps, which perform similarly. Therefore, the permeable flaps are able to significantly reduce jet-installation noise for an aircraft configuration in flight conditions, however care must be taken in the design of the permeable structure in order to avoid aerodynamic degradation.
Neuroprotective Effect of Caffeine in Alzheimer’s Disease

Alzheimer’s disease (AD) is the leading cause of dementia, predicted to be the most significant health burden of the 21st century, with an estimated 131.5 million dementia patients by the year 2050. This review aims to provide an overview of the effect of caffeine on AD and cognition by summarizing relevant research conducted on this topic. We searched the Web of Science core collection and PubMed for studies related to the effect of caffeine on AD and cognition using title search terms: caffeine; coffee; Alzheimer’s; cognition. There is suggestive evidence from clinical studies that caffeine is neuroprotective against dementia and possibly AD (20 out of 30 studies support this), but further studies, such as the “ideal” study proposed in this review, are required to prove this link. Clinical studies also indicate that caffeine is a cognitive normalizer and not a cognitive enhancer. Furthermore, clinical studies suggest the neuroprotective effect of caffeine might be confounded by gender. There is robust evidence based on in vivo and in vitro studies that caffeine has neuroprotective properties in AD animal models (21 out of 22 studies support this), but further studies are needed to identify the mechanistic pathways mediating these effects.
Analysis and Dynamic Control of a Dual-Stator BDFIG-DC System Supplying DC Grid With Minimized Torque Ripple Through Harmonic Current Injection

Due to inherent high reliability and low maintenance cost, the brushless doubly fed induction generator (BDFIG) has become a promising candidate in offshore wind energy generation systems and dc/ac/hybrid microgrids. This paper proposes a novel BDFIG based system targeting at dc power generation (BDFIG-DC), which features interfacing the power winding (PW) and the dc grid through an uncontrolled rectifier and common dc link. Compared to conventional BDFIG systems fed by ac grid, the BDFIG-DC system offers an alternative to integrate the BDFIG into the dc transmission system with a simpler structure and lower cost. Due to the constraint imposed by the dc-side diode bridge, torque ripple reduction emerges as an urgent issue as a result of the distorted flux and current. To achieve the smooth dc-connected operation of the BDFIG, an improved vector control strategy is proposed in this paper, where the control of the system is divided into three parts: torque ripple reduction, frequency regulation, and average torque control. Based on the investigations into the electromagnetic torque reduction and small-signal model of the PW flux linkage, average torque and PW frequency are successfully controlled with torque ripple effectively suppressed. The effectiveness of the proposed system, along with the associated control strategy, is validated by the experimental results of a 10-kW 2/1 dual-stator BDFIG (DS-BDFIG) prototype.
Adjustable-Flux Permanent Magnet Synchronous Motor Sensorless Drive System Based on Parameter-Sensitive Adaptive Online Decoupling Control Strategy

The parameter variation in sensorless control has a great influence on the estimated position accuracy, while the most existing solutions are unsystematic and increase the complexity of the entire drive system. In this article, a new adjustable-flux permanent magnet synchronous motor (AF-PMSM) sensorless drive system under diverse operating conditions is proposed from the perspective of motor design and control. With the special rotor design of the new AF-PMSM, the influence issue of the parameter variation can be well-resolved. To further improve the estimated accuracy of rotor position and suppress the secondary saliencies harmonics, a parameter-sensitive adaptive online decoupling sensorless control strategy is developed. Consequently, the steady-state and dynamic performances and the variable parameter sensitivity of the motor drive system can be improved. Finally, the experimental results verify the feasibility and effectiveness of the proposed motor drive system.
Flexible Platform of Acoustofluidics and Metamaterials with Decoupled Resonant Frequencies

The key challenge for a lab-on-chip (LOC) device is the seamless integration of key elements of biosensing and actuation (e.g., biosampling or microfluidics), which are conventionally realised using different technologies. In this paper, we report a convenient and efficient LOC platform fabricated using an electrode patterned flexible printed circuit board (FPCB) pressed onto a piezoelectric film coated substrate, which can implement multiple functions of both acoustofluidics using surface acoustic waves (SAWs) and sensing functions using electromagnetic metamaterials, based on the same electrode on the FPCB. We explored the actuation capability of the integrated structure by pumping a sessile droplet using SAWs in the radio frequency range. We then investigated the hybrid sensing capability (including both physical and chemical ones) of the structure employing the concept of electromagnetic split-ring resonators (SRRs) in the microwave frequency range. The originality of this sensing work is based on the premise that the proposed structure contains three completely decoupled resonant frequencies for sensing applications and each resonance has been used as a separate physical or a chemical sensor. This feature compliments the acoustofluidic capability and is well-aligned with the goals set for a successful LOC device.
A Double-Layer Patch Antenna for 5–6 GHz Wireless Communication

This paper proposes a compact double-layer microstrip patch antenna with a wide bandwidth of 4.83–6.1 GHz and a gain reaching 4.7 dBi. By folding its mirror image through the electric field symmetry principle of the microstrip antenna, its electrical properties are maintained, and the physical size is halved to the compact size of only 25 × 40 mm2. The proposed antenna has the radiation characteristics of a planar inverted-F antenna (PIFA), which can generate the first resonant frequency and realize omnidirectional radiation characteristics. By coupling and feeding the upper patch, the second resonant frequency of the proposed antenna is produced and the directional radiation characteristics of the microstrip patch antenna can be achieved. The consistency of the results between the simulation and test indicates that the proposed antenna design is an ideal potential choice for home wireless local area network (WLAN) communication.
Social, Formal, and Political Determinants of Trade Under Weak Rule of Law: Experimental Evidence from Senegalese Firms

How do firms ensure secure exchange when the rule of law is weak and contracting institutions privilege the politically connected? In developing countries, firms may use social, formal, or political heuristics when selecting business partners, but how these factors jointly impact exchange remains understudied. In this article, I develop these theoretical mechanisms and test their impact with a conjoint experiment administered to 2389 formal and informal firms in Senegal. I find evidence in support of all three theories: To varying degrees, social, state, and political factors simultaneously impact firms’ sense of deal security and likelihood of exchange. The results demonstrate the substantial influence of formal predictors of exchange even in an overwhelmingly informal business environment, and also establish the countervailing effects of political connections on trade. These findings suggest that firms in developing countries must contend with an intricate political calculus to ensure their growth.
Wood Surface Modification with Hybrid Materials Based on Multi-Walled Carbon Nanotubes

In this work, new treatments based on multi-walled carbon nanotubes (MWCNTs), MWCNTs decorated with zinc oxide (ZnO), MWCNTs decorated with hydroxyapatite (HAp) and MWCNTs decorated with silver (Ag) nanoparticles dispersed in PHBHV solution are proposed for improving sound oak wood properties. We hypothesize that the solutions containing decorated MWCNTs will be more efficient as wood consolidants, not only because of the improved mechanical properties of the treated wood but also because of the hydrophobic layer created on the wood surface. In order to test these hypotheses, the treatments’ potential was investigated by a number of complex methods, such as colorimetric parameter measurements, water absorption tests, mechanical tests, artificial aging and antifungal tests. The data confirm that the treated wood materials have moderate stability, and the color differences are not perceived with the naked eye. A significant improvement of the treated samples was observed by water absorption, humidity and mechanical tests compared to untreated wood. The best results were obtained for samples treated by brushing with solutions based on decorated CNTs, which confirms that a uniform and thicker layer is needed on the surface to ensure better protection. The wood behavior with accelerated aging revealed that the control sample degraded faster compared to the other treated samples. Antifungal tests showed that higher growth inhibition was obtained for samples treated with 0.2% MWCNTs_ZnO + PHBHV. Considering all of the obtained results, it can be concluded that the most effective treatment was MWCNTs_ZnO + PHBHV at a nanocomposite concentration of 0.2%, applied by brushing. Thus, wood protection against mold and fungi will be achieved, simultaneously ensuring improved mechanical strength and water barrier properties and therefore maintaining the structural integrity of sound oak wood over time.
Topographic modelling using UAVs compared with traditional survey methods in mining

The current developments with unmanned aerial vehicles (‘UAVs’) are revolutionizing many fields in civil applications, such as agriculture, environmental and visual inspections. The mining industry can also benefit from UAVs in many aspects, and the reconciliation through topographic control is an example. In comparison with traditional topography and maybe modern techniques such as laser scanning, aerial photogrammetry is cheaper, provides faster data acquisition and processing, and generates several high-quality products and impressive level of details in the outputs. However, despite the quality of the software currently available, there is an uncertainty intrinsic to the surfaces acquired by photogrammetry and this discrepancy needs to be assessed in order to validate the techniques applied. To understand the uncertainty, different surfaces were generated by UAVs for a small open pit quarry in southern Brazil. Wellestablished topographic surveying methodologies were used for geolocation support and comparison, namely the RTK (real-time kinetic) global navigation satellite system (GNSS) (here called conventional method) and laser scanning. The results showed consistency between the UAV surfaces with a few outliers in when vegetation, water and mobile objects during the flight missions. In comparison with the laser-scanned surface, the UAV results were less erratic surrounding the RTK points, showing that surfaces generated by photogrammetry can be a simpler and quicker alternative for mining reconciliation, presenting low uncertainty when compared to conventional methods.