Miracle-dz/UniFAR-FTUs huggingface dataset:
MnO2@Nickel Nanocone Arrays Coated Paper Electrode for Flexible Supercapacitors

Flexible supercapacitors are considered as a promising candidate for power supplementation in wearable electronics due to their high power density. However, effectively fabricate flexible and low-cost supercapacitor electrodes in a big scale is still a key challenge. Herein we demonstrate a scalable fabrication method for hierarchical electrodes via metalizing air-laid paper and loading with MnO2 as cathode active materials. To be specific, we coat a thin layer of Ni on air-laid paper by magnetron sputtering, then deposit Ni nanocone arrays (NNAs) on the Ni sputtered paper and finally deposit MnO2 on the NNAs to obtain the NNAs@MnO2 paper electrode. The as-prepared paper-based electrode possesses high conductivity and fine wettability, which facilitates the electrons and ions transporting through the conductive network. Additionally, this electrode provides large specific surface area with a hierarchical architecture. Thus the electrode shows high capacitance (451 F/g) and favorable cycle performance (92.9% capacity retention after cycling for 5000 times). By coupling with activated carbon (AC) coated on the NNAs conductive paper as anode, an NNAs paper-based asymmetric supercapacitor is constructed. Benefiting from the high mechanical durability and the 3D hierarchical architecture of the electrodes, the asymmetric supercapacitor exhibits excellent mechanical flexibility and high energy density (26.9 μWh/cm2 at 1.08 mW/cm2). This method can be easily scaled up to produce lightweight and low-cost conductive paper electrodes, making it promising for the application of flexible supercapacitors in wearable electronics.
Surface Location Ambiguity Analysis and Suppression Algorithm Research based on multilateration

Both of the TOA or TSOA location algorithm can be used for airport surface location respectively, but they all had location ambiguity in the interesting airspaces, and the GDOP values were very difficulty to improve effectively. In order to resolve these issues, the TDOA/TSOA integrated algorithm model was presented. On the basis of simulation analyzing of the TDOA and TSOA positioning algorithms for the 2D and 3D location on airport surface respectively, the ambiguous points distribution was calculated and summarized in details. And the distribution characteristics of ambiguity areas in positioning with the TDOA/TSOA integrated positioning algorithm were simulated. The simulation results and comparison shows that the integrated algorithm model has smaller ambiguous area and better RMSE value. And lastly, the performance of the TDOA/TSOA integrated algorithm model were compared and analyzed with nine base stations MLAT system in Innsbruck airport. Simulation results indicated that TDOA/TSOA integrated algorithm model was better than that of TDOA model.
Deep Learning for Software Vulnerabilities Detection Using Code Metrics

Software vulnerability can cause disastrous consequences for information security. Earlier detection of vulnerabilities minimizes these consequences. Manual detection of vulnerable code is very difficult and very costly in terms of time and budget. Therefore, developers must use automatic vulnerabilities prediction (AVP) tools to minimize costs. Recent works on AVP begin to use techniques of deep learning (DL). All the proposed approaches are based on techniques of feature extraction inspired by previous applications of DL such as automatic language processing. Code metrics were widely used as features to build AVP models based on classic machine learning. This study bridges the gap between deep learning and machine learning features and discusses a deep-learning-based approach to finding vulnerabilities in code using code metrics. Obtained results show that code metrics are very good but not the better to use as features in DL-based AVP.
Analysis and Simulation of a Wireless Phased Array System with Optical Carrier Distribution and an Optical IQ Return Path

In this paper we present a new system concept for an optoelectronic wireless phased array system. Like in a conventional phased array system with optical carrier distribution, optical fibers are used to distribute the carrier from the basestation to the wireless frontends. However in contrast to prior concepts, we propose to use an optical IQ return path from the wireless frontends back to the basestation. Furthermore, we reuse the optical carrier signal for the IQ return path which allows to avoid local oscillator lasers in the wireless frontends and reduces the hardware effort significantly. The system concept allows to integrate all components of an optoelectronic wireless frontend in a single chip using silicon photonics technology.
Mathematical Modeling of Split Phase Machine based Integrated Battery Charger

Battery charging is one of the important aspects in Electric Vehicle (EV) technology. Integrated battery chargers (IBCs) use existing driving motor and drive inverter in the EV to charge the battery. In this paper, mathematical model of a fast IBC with a split-phase induction machine with the existing three-phase inverter is presented. In the proposed scheme during charging, the stator windings of the motor are reconfigured to produce zero torque introducing unbalance and injecting harmonic currents into the grid. Modeling of the non-linear and time-varying grid interface inductance is presented in this manuscript. Simulation and experimental results are presented for validation of the model.
Human-Centered Design of a Rotorcraft Flight Deck System for Offshore Standard Approach Procedures

This paper presents details of a formal human factors evaluation of a new Custom Approach function intended for a helicopter flight deck system. The new function provides helicopter pilots with a fully coupled and automated approach to pilot specified destinations. The Custom Approach function can be applied in the Offshore Approach environment and for overland approaches. A part-task helicopter simulator was used in the evaluation. Six pilots (three with off-shore experience) participated in the evaluation. Five scenarios were used to collect both objective and subjective data. The data established that pilots can use the Custom Approach function to perform its intended function for overland and offshore approaches using the display provisions introduced. Lateral and vertical flight mode transitions and annunciations on the PFD adequately supported crew awareness of the automation behavior. Pilot subjective ratings confirmed that pilots had adequate awareness of flight altitude, speed and course states during automated Custom Approach. The display of annunciations was clearly visible to pilots, easy to interpret and attracted an appropriate amount of attention from pilots. The Custom Approach function supported pilot operational decision-making to land/go-around in offshore and overland scenarios including failure conditions. All pilots recognized a Radar Altimeter failure condition and took the required action to ensure level flight at the Bottom of Descent (BOD) and successfully completed the approach. Bedford ratings confirm workload for use of the Custom Approach function was within acceptable bounds. Recommendations were made to revise the FMS Custom Approach page layout to ensure consistency with the task flow and minimize errors.
Genome Sequence of the Alphaproteobacterium Blastochloris sulfoviridis DSM 729, Which Requires Reduced Sulfur as a Growth Supplement and Contains Bacteriochlorophyll b

The genome sequence of Blastochloris sulfoviridis is 3.85 Mb with a GC content of 68%. Its nearest relative is B. tepida (average nucleotide identity [ANI], 91.5%), followed by B. viridis (ANI, 83%). According to ANI and whole-genome-based phylogenetic analysis, the nearest relatives of Blastochloris are Rhodoplanes and Rhodopseudomonas, confirming the recognition of distinct genera. ABSTRACT The genome sequence of Blastochloris sulfoviridis is 3.85 Mb with a GC content of 68%. Its nearest relative is B. tepida (average nucleotide identity [ANI], 91.5%), followed by B. viridis (ANI, 83%). According to ANI and whole-genome-based phylogenetic analysis, the nearest relatives of Blastochloris are Rhodoplanes and Rhodopseudomonas, confirming the recognition of distinct genera.
Beach Cleaning Bot Based On Region Monitoring

This paper discusses about the development of beach cleaning bot. The paper focuses on two main aspects: conveyor belt mechanism and region monitoring system. In order to remove the waste from the sandy surface, we developed the conveyor belt mechanism. To identify the waste the bot was equipped with pi camera module this helps the bot to continuously monitor the sandy surface. Region monitoring is based on object detection (image processing) which is used to detect the waste and respond accordingly. For object detection process Tensorflow and OpenCV software are used.
688. Phage-organism relationships among strains of Streptococcus cremoris: the selection of strains as cheese starters

The relationships between nineteen strains of Str. cremoris and nineteen phage races were investigated. It was found that in addition to clear-cut lytic reactions there were other actions between some phage races and bacterial strains whereby in some cases a phage could show adaptation to a strain and become changed in host range, and in other cases could inhibit growth of a strain without any phage multiplication. There is some evidence to indicate that bacterial strains and phage races fall into family groups within which most of the phages act in one way or another on most of the strains. The suggestion is made that the strains and races in a group may have originated from a parent bacterial strain and parent phage race. The selection of strains of Str. cremoris for use as cheese starters is discussed in the light of the findings reported in the present paper. The diffculty of isolating a large number of strains unrelated in every respect is indicated.
Molecular Dynamics Simulation of Stress in AlN Thin Films on Sapphire Substrate

In this article, we study the stress and defects of AlN on sapphire substrate by molecular dynamics. The temperatures and film thickness were varied to investigate the effect. We find that the mixing of film atoms with substrate atoms could be observed. As the temperature increases, the mixing of film atoms with the substrate atoms becomes more obvious. This is due to the increased kinetic energy of atoms as the temperature increases. Moreover, the fluctuation range of the average mean biaxial stress and the average normal stress mainly occur at the interface between AlN film and sapphire substrate. This is understandable because the lattice mismatch exits between AlN film and sapphire substrate, which inevitably leads to atom mismatch and involve defects and stress.
eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

BACKGROUND Lack of support for self-management may contribute to adverse health outcomes. eHealth has the potential to support self-management, but evidence in solid organ transplantation remains unclear. This review aims to evaluate the benefits and harms of eHealth interventions to support self-management in solid organ transplant recipients. METHODS We searched CENTRAL, MEDLINE, and Embase databases for randomized trials of eHealth interventions in solid organ transplant recipients. We calculated the risk ratios or standardized mean difference of outcomes, and summary estimates were determined using random-effects models. The Cochrane risk of bias tool and Grading of Recommendations, Assessment, Development, and Evaluations were used to assess trial quality. RESULTS Twenty-one trials from 6 countries involving 2114 participants were included. Compared with standard care, eHealth interventions improved medication adherence (RR 1.34, CI: 1.12 to 2.56, I=75%) and self-monitoring behavior (RR 2.58, CI: 1.56 to 4.27, I=0%) up to 12 months posttransplant. The treatment effects were largely consistent across different subgroups except for intervention functionality and mode of delivery. The effects on other outcomes were uncertain. Nine trials reported harms. The overall risk of bias was considered high or unclear, and the quality of evidence was low to very low for all outcomes. CONCLUSION eHealth interventions may improve medication adherence and self-monitoring behavior in the short-term, but high-quality intervention studies are needed to determine whether eHealth will improve long-term patient relevant outcomes.
Eco-regional Cooperation on the Genetic Resource Market and the Case of the Andean Community

The United Nations ‘Convention on Biological Diversity’ codified state sovereignty over genetic resources and subsequently bilateral contracts over genetic resource use evolved. However, countries currently obtain only few benefits from bilateral contracts, largely due to high transaction costs. In this paper, we consider eco-regional cooperation by megadiverse countries in physical genetic resource trade. The main objective is to investigate whether such cooperation can increase benefits for provider countries and in-situ conservation of biodiversity. The Andean Community’s access legislation serves as a case study. Our main finding is that eco-regional cooperation has the potential to significantly reduce transaction costs for both supplying countries and customers. It can thereby decrease prices for customers and increase demand, conservation levels and providers’ benefits. Countries with a relatively higher biodiversity richness and a comparatively better institutional environment are able to appropriate a higher share of cooperation induced benefits. It remains to be seen how the ‘Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization’, which recently entered into force, impacts on these results. In any case, collusion on the physical genetic resource market will not lead to high benefits as market power is limited by substitutes in form of ex-situ resources and freely available genetic information. The Andean Community realises few of the potential cooperation advantages. JEL classification: F53, K23, Q27, Q28, Q57
Swimming speed, respiration rate, and estimated cost of transport in adult killer whales

The physiology of free-ranging cetaceans is difficult to study and as a consequence, data on the energetics of these animals are limited. To better understand the energetic cost of swimming in killer whales, total cost of transport (COT )w as estimated from swimming speeds and respiration rates from wild adult northern resident killer whales (Orcinus orca) and reported values of oxygen consumption in captive whales. Respiration rate (breaths per minute) was positively correlated with swimming speed (meters per second), while mass-specific COT (Joules per kilogram per meter) decreased with speed. Lack of data on very fast-swimming animals hindered assessment of the exact speed at whichCOT was minimal. However, minimum mass-specific COT for killer whales in the present study approached those predicted by a previously published allometric equation for marine mammals, and corresponded to “optimal” swimming speeds of 2.6–3 m/s. Interestingly, the observed average swimming speed (1.6 m/s) was lower than predicted optimal swimming speed. Finally, females with dependent calves had higher respiration rates than females without calves. These findings could be due to synchronous breathing with calves or could result from increased costs of lactation and swimming with a calf in echelon formation. Consequently, females with calves may have much greater COT at optimal swimming speeds than females without calves.
In Vivo Assessment of Size-Selective Glomerular Sieving in Transplanted Human Induced Pluripotent Stem Cell-Derived Kidney Organoids.

BACKGROUND The utility of kidney organoids in regenerative medicine will rely on the functionality of the glomerular and tubular structures in these tissues. Recent studies have demonstrated the vascularization and subsequent maturation of human pluripotent stem cell-derived kidney organoids after renal subcapsular transplantation. This raises the question of whether the glomeruli also become functional upon transplantation. METHODS We transplanted kidney organoids under the renal capsule of the left kidney in immunodeficient mice followed by the implantation of a titanium imaging window on top of the kidney organoid. To assess glomerular function in the transplanted human pluripotent stem cell-derived kidney tissue 1, 2, and 3 weeks after transplantation, we applied high-resolution intravital multiphoton imaging through the imaging window during intravenous infusion of fluorescently labeled low and high molecular mass dextran molecules or albumin. RESULTS After vascularization, glomerular structures in the organoid displayed dextran and albumin size selectivity across their glomerular filtration barrier. We also observed evidence of proximal tubular dextran reuptake. CONCLUSIONS Our results demonstrate that human pluripotent stem cell-derived glomeruli can develop an appropriate barrier function and discriminate between molecules of varying size. These characteristics together with tubular presence of low molecular mass dextran provide clear evidence of functional filtration. This approach to visualizing glomerular filtration function will be instrumental for translation of organoid technology for clinical applications as well as for disease modeling.
Enhancement of Birefringence in Reduced Graphene Oxide Doped Liquid Crystal

We investigated the effect of reduced graphene oxide (rGO) doping on the birefringence of 5CB liquid crystal (LC). The characteristics of the synthesized rGO and LC-rGO composite with different rGO concentrations were analyzed by atomic force microscopy, X-ray photoelectron spectroscopy, white light polarized microscopy, voltage-dependent transmission measurement, and differential scanning calorimetry. We found that doping LC with an appropriate concentration of rGO enhances the birefringence of the LC. This is mainly due to the improved anisotropy of polarizability, which stems from the high shape anisotropy of rGO. However, the aggregation of rGO reduces the birefringence by decreasing the anisotropy of polarizability as well as the order parameter. Our study shows the promising potential of LC-rGO for developing various electro-optic devices that offer improved electro-optic effects.
Fog-Based Attack Detection Framework for Internet of Things Using Deep Learning

The number of cyber-attacks and data breaches has immensely increased across different enterprises, companies, and industries as a result of the exploitation of the weaknesses in securing Internet of Things (IoT) devices. The increasing number of various devices connected to IoT and their different protocols has led to growing volume of zero-day attacks. Deep learning (DL) has demonstrated its superiority in big data fields and cyber-security. Recently, DL has been used in cyber-attacks detection because of its capability of extracting and learning deep features of known attacks and detecting unknown attacks without the need for manual feature engineering. However, DL cannot be implemented on IoT devices with limited resources because it requires extensive computation, strong power and storage capabilities. This paper presents a comprehensive attack detection framework of a distributed, robust, and high detection rate to detect several IoT cyber-attacks using DL. The proposed framework implements an attack detector on fog nodes because of its distributed nature, high computational capacity and proximity to edge devices. Six DL models are compared to identify the DL model with the best performance. All DL models are evaluated using five different datasets, each of which involves various attacks. Experiments show that the long short-term memory model outperforms the five other DL models. The proposed framework is effective in terms of response time and detection accuracy and can detect several types of cyber-attacks with 99.97% detection rate and 99.96% detection accuracy in binary classification and 99.65% detection accuracy in multi-class classification.
Coarse Semantic-Based Motion Removal for Robust Mapping in Dynamic Environments

SLAM in dynamic environments is still a severe challenge for most feature-based SLAM systems. Moving objects will lead to terrible errors in the calculation of frame tracking and local mapping. We propose a novel method for keypoints selection to lower the negative effect brought by moving objects during map construction. To address this challenge, we concentrate on the combination of coarse semantic information and a feature-based SLAM system. In this article, a modified CenterNet object detector is proposed as the moving object detection thread for providing coarse semantic information and 2D location. The modified CenterNet can provide a faster and more accurate prediction. For each frame in a sequence, objects in a scenario will be classified into two motion states, non-static and static, according to the category prediction from the moving object detection thread. Then important processing called semantic data association is presented for motion removal in frame tracking thread and local mapping thread. In this way, the keypoints on the non-static objects will not be chosen for calculation. Finally, on this basis, a modified real-time SLAM system is presented. Experimental results in TUM indoor dataset show that the proposed SLAM system outperforms the state-of-the-art ORB-SLAM2 in dynamic environments. Besides that, our method has a better speed-accuracy trade-off than other deep learning-based SLAM systems in dynamic environments.
Low Power and High Speed Dadda Multiplier using Carry Select Adder with Binary to Excess-1 Converter

As the digital electronic systems are getting better with the advancement in technology day by day; there is a need to build faster and more power-efficient multipliers, which are the major building block in most of the digital processing systems. Dadda tree multiplier is one of the effective multipliers consuming low power and quite faster than other multipliers i.e. Vedic, Wallace and booth redix4 multiplier. In this paper, we have designed a Dadda tree multiplier with carry select adder followed by binary to excess-1 converter which makes it much faster and power efficient. The results for this multiplier are comparatively better considering other existing multipliers.
Potato Peel Waste: Stability and Antioxidant Activity of a Freeze‐Dried Extract

Aqueous extracts of potato peel waste were freeze-dried, high performance liquid chromatography (PLC) of the freeze-dried extracts revealed that chlorogenic (50.31%), gallic (41.67%), protocatechuic (7.81%), andcaffeic (0.21%) acids were the major phenolics. During 15 days storage of the freeze-dried extract, no degradation of phenolics occurred. After 4 days storage at 63 o C, 5.00g of sunflower oil containing either the freeze-dried extract (200 ppm) or butylated hydroxyanisole (BHA) (200 ppm) reached peroxide values (PV) of 37.38 and 37.47 meq kg -1 respectively. L-ascorbic acid-6-palmitate was the best antioxidant (PV=10.65 meq kg -1 ) but the freeze-dried extract was as good as BHA