Real-time, in situ accurate monitoring of nitrogen contaminants wastewater over a long-term period is critical for swift feedback control, enhanced removal efficiency, and reduced energy consumption treatment processes. Existing sensors suffer from high cost, low stability, short life times, posing hurdles their mass deployment to capture complete picture within heterogeneous systems. Tackling this challenge, study presents solid-state ion-selective membrane (S-ISM) ammonium (NH4+) nitrate...

Cobalt-based metal–organic framework (MOFs)-derived catalysts are acknowledged for their effectiveness in activating peroxymonosulfate (PMS) the treatment of persistent pollutants. However, limited adsorption PMS on catalyst surface markedly reduces its degradation efficiency. To overcome this limitation, nanoflower-like Eu2O3/Co3O4-0.3 were successfully fabricated by incorporating europium (Eu) into cobalt-based MOF via hydrothermal and calcination techniques. The doping Eu not only...

Benthic microbial fuel cells (BMFCs) are important energy-harvesting devices for underwater sensors and electronic devices. However, it is a challenging problem to ensure the robustness of BMFCs in harsh ocean environment. In particular, anode buried sediment subject burrowing organisms tunneling, which breaks anaerobic condition, electrons generated by will be consumed locally. This eliminates difference electric potential between cathode. The system then becomes short-circuited ceases...

The creation and engineering of artificial enzymes remain a challenge, especially the arrangement into geometric patterns with nanometer precision. In this work, we fabricated series novel DNA-tetrahedron-scaffolded-DNAzymes (Tetrazymes) evaluated catalytic activity these Tetrazymes by electrochemistry. were constructed precisely positioning G-quadruplex on different sites DNA tetrahedral framework, hemin employed as co-catalyst. Immobilization gold electrode surface revealed horseradish...

Hydrotalcite intercalated nanohybrids have served as a vital phosphorescent photosensitizer owing to remarkable 1 O 2 quantum yield and high cell mortality performance.

Memristors are considered as one promising device for implementing future memory and computing systems. However, design of memristor-based circuits faces a key challenge to deal with variations from nonideal fabrication processes the resulting performance uncertainties. Fortunately, this randomness can be exploited in many other applications, such compressive sensing-based data acquisition, which relies on random sensing matrix digital or analog formats. Existing systems usually implemented...

Memristors are considered as one promising candidate for future memory and computing fabrics. However, the design of memristor-based circuits is under a critical challenge inevitable variations due to non-ideal fabrication processes resulted performance uncertainties. This kind randomness can be utilized in many other applications, such compressive sensing based data acquisition, which conducted by random matrix. Existing systems usually implemented digital CMOS circuits, suffer problems...

Microbial fuel cells (MFCs) are promising renewable energy sources for long-term underwater systems. The critical limitations of MFCs include low output voltage and bioturbation interference. A multianode MFC was proposed in our previous work to tolerate problems. Due the unique structure multi-anode MFC, an anode decoupling function is needed power management. Conventional designs based on separate charge pumps will have large overhead performance degradation when anodes impaired. In this...

Image sensor is a commonly used electronic device in various applications. With the increasing requirement for resolution and frame rates, power consumption getting significant, which limits use of image sensors mobile sand IoT Compressive sensing (CS) techniques can achieve sub-Nyquist sampling rate to reduce hardware circuits. Currently, most compressive measurements are implemented digital CMOS circuits, leading high complexity as well limited speed. These drawbacks cannot support rapid...

Scan chains, as the most common design-fortestability (DFT) technique, provide a powerful way for structural testing of integrated circuits (ICs). However, they can be easily exploited by unauthorized parties to acquire critical design information. Scan-based attacks are one kind side-channel attack that reveals comprehensive information IC chips. Reports have shown many successful scan-based against mainstream cryptographic systems, such Rivest-Shamir- Adleman (RSA), Advanced Encryption...

Insertion of scan chains, as the most common DFT technique, provides a powerful way for structural testing integrated circuits (IC). However, it can be easily misused by unauthorized parties to acquire critical design information. Scan-based attacks are one kind side channel that reveal comprehensive information IC noninvasively. Reports have shown many successful based against main stream cryptographic systems, such RSA, AES, etc. On other hand, current countermeasure schemes limited either...

Image sensors are widely used in various applications. With the increasing requirement for high resolutions and frame rates, power consumption has become a critical issue, which limits use of image mobile devices IoT Compressive sensing (CS) techniques can achieve sub-Nyquist sampling rate to reduce hardware circuits. Currently, most compressive measurements implemented digital CMOS circuits, leading complexity consumption, as well limited speed. Furthermore, CS applications with large sizes...

Various design techniques can be applied to implement the finite state machine (FSM) functions in order optimize timing, performance, power, and reduce overhead. Recently, malicious attacks hardware systems have emerged as a critical problem. Fault injection attacks, particular, alter function or reveal information of system through precisely controlled fault processes. Attackers utilize loopholes vulnerabilities FSM access states that are under protection. A probabilistic model is developed...

Field Programmable Gate Arrays (FPGA), as one of the popular circuit implementation platforms, provide flexible and powerful way for different applications. IC designs are configured to FPGA through bitstream files. However, configuration process can be hacked by side channel attacks (SCA) acquire critical design information, even under protection encryptions. Reports have shown many successful against cryptographic systems during loading entire design. Current countermeasures, mostly random...

In-memory computing is an emerging technique to fulfill the fast growing demand for high-performance data processing. This provides processing and high throughput by accessing stored in memory array rather than dealing with complicated operation movement on hard drive. For processing, most important computation dot product, which also core applications such as deep learning neuron networks, machine learning, etc. As multiplication key function it critical improve its performance achieve...

The recent advance of artificial intelligence (AI) has shown remarkable success for numerous tasks, such as cloud computing, deep-learning, neural network and so on. Most those applications rely on fast computation large storage, which brings various challenges to the hardware platform. performance is bottle neck break through therefore, there a lot interest in exploring new solutions architecture years. Compute-in-memory (CIM) drawn attention researchers it considered one most promising...