Harsh Working Conditions Research Articles

Time delay-based spectrum reconstruction for nonuniform and sub-Nyquist sampling in blade tip timing

Rotating blades play a functional role during the working process of turbomachinery, but they are prone to failure due to harsh working conditions. Blade tip timing (BTT) is a potential technique for operational blade health monitoring due to its noncontact feature and efficiency. The critical issue in the application of BTT is extracting vibration parameters or reconstructing the spectrum for subsequent fault diagnosis. However, the nonuniform and undersampling characteristics of the BTT signal challenge signal processing. In this work, we developed an effective and efficient time delay-based spectrum reconstruction method. On this basis, we proposed the conditions (minimal probe number and delay sampling criterion) for the spectrum reconstruction. The proposed reconstruction conditions apply to most BTT methods for parameter identification or spectrum reconstruction and provide guidance for BTT measurement. Finally, the effectiveness of the proposed method and the correctness of the reconstruction conditions were demonstrated by a series of simulations and experiments.

Hundred Years of Chargola Exodus: Changes and Continuity in the Tea Plantations in Eastern India

The introduction of tea plantations was a colonial capitalist venture in eastern India. The tea plantations turned into social enclaves and hotspots of labour migration. The tribal labourers had to work in a bondage labour system with low wages, strict surveillance and harsh working conditions. The Chargola Exodus of 1921 was one of the first organized and articulated labour protests against colonial oppression and the bondage labour system in tea plantations. The plantation labourers revolted against the colonial oppression and decided to return to their homeland to quit from bondage system in the tea plantations. This article examines the changes and continuity in the tea plantations in the last hundred years since the Chargola Exodus. It argues the bondage labour system can still be sensed as the colonial structure in the plantations remained unchanged. However, the forms of labour bondage have been changed, and it has become ‘unannounced’. Therefore, the servitude of the labourers in the tea plantations has continued since the colonial period, even after the independence of the country. At present, the tribal communities in the tea plantations are living in extreme poverty, chronic hunger, low literacy, unsanitary living conditions and poor health status. The tea plantations have turned into a hotspot of human trafficking, forced out-migration and hunger deaths.

Impact of social and demographic factors on the spread of the SARS-CoV-2 epidemic in the town of Nice

IntroductionSocio-demographic factors are known to influence epidemic dynamics. The town of Nice, France, displays major socio-economic inequalities, according to the National Institute of Statistics and Economic Studies (INSEE), 10% of the population is considered to live below the poverty threshold, i.e. 60% of the median standard of living.ObjectiveTo identify socio-economic factors related to the incidence of SARS-CoV-2 in Nice, France.MethodsThe study included residents of Nice with a first positive SARS-CoV-2 test (January 4-February 14, 2021). Laboratory data were provided by the National information system for Coronavirus Disease (COVID-19) screening (SIDEP) and socio-economic data were obtained from INSEE. Each case’s address was allocated to a census block to which we assigned a social deprivation index (French Deprivation index, FDep) divided into 5 categories. For each category, we computed the incidence rate per age and per week and its mean weekly variation. A standardized incidence ratio (SIR) was calculated to investigate a potential excess of cases in the most deprived population category (FDep5), compared to the other categories. Pearson’s correlation coefficient was computed and a Generalized Linear Model (GLM) applied to analyse the number of cases and socio-economic variables per census blocks.ResultsWe included 10,078 cases. The highest incidence rate was observed in the most socially deprived category (4001/100,000 inhabitants vs 2782/100,000 inhabitants for the other categories of FDep). The number of observed cases in the most social deprivated category (FDep5: N = 2019) was significantly higher than in the others (N = 1384); SIR = 1.46 [95% CI:1.40–1.52; p < 0.001]. Socio-economic variables related to poor housing, harsh working conditions and low income were correlated with the new cases of SARS-CoV-2.ConclusionSocial deprivation was correlated with a higher incidence of SARS-CoV-2 during the 2021 epidemic in Nice. Local surveillance of epidemics provides complementary data to national and regional surveillance. Mapping socio-economic vulnerability indicators at the census block level and correlating these with incidence could prove highly useful to guide political decisions in public health.

Uneven Demagnetization Fault Diagnosis in Dual Three-Phase Permanent Magnet Machines Based on Electrical Signal Difference

Dual three-phase permanent magnet (DTPPM) machines are suitable for applications with high power density and high reliability requirements. However, uneven demagnetization fault (UDF) can occur due to harsh working conditions. This article proposes a non-invasive, online detection method of UDF in DTPPM machines based on the electrical signal difference between two sets of three-phase windings, which can be more conducive to UDF diagnosis with higher sensitivity. Firstly, the influence of dual three-phase winding arrangements on phase permanent magnet (PM) flux linkage is investigated in DTPPM machines under UDF. It shows that the fault characteristic harmonics appear in fractional-slot DTPPM machines and integral-slot DTPPM machines where a single set of three-phase windings is rotationally asymmetric. Further, according to the three-phase relationship of harmonic vectors, it is analyzed whether the fault characteristic harmonics are reflected in stator currents or zero-sequence voltage components (ZSVCs). Notably, taking advantage of the structural feature in DTPPM machines, the proposed method obtains higher sensitivity of UDF detection, as the amplitudes of fault characteristic harmonics in electrical signal difference are larger than that in stator current or ZSVC in a single set of three-phase windings. Finally, experiments are conducted to validate the effectiveness of the proposed method.

Study on signal decomposition-based pump noise cancellation method for continuous-wave mud pulse telemetry

Continuous mud pulse telemetry is an advanced downhole data transmission technology in measurement while drilling (MWD) systems. However, various noise interference during transmission has resulted in continuous mud pulse telemetry often encountering difficulties in decoding under harsh working conditions, with the influence of pump noise being the most severe. On the bases of the narrowband signal characteristics of pump noise harmonics and a deep study of the variational mode decomposition (VMD) algorithm, this study proposes an improved version called constant center frequency VMD (CVMD), the mode function center frequencies of which are fixed in the initial state. The denoising performance of the proposed algorithm is thoroughly analyzed by simulating a series of continuous mud pulse signals with different noise intensities under stable/unstable mud pump conditions. Results demonstrate that the CVMD algorithm has an advantage over conventional filters because the former can maximize the preservation of useful information within the critical frequency band. Compared with the Kalman filter based on the same pump noise model, the CVMD algorithm has a higher signal-to-noise ratio, smaller mean square error, higher correlation with the ideal signal, and is also applicable when the pump state is unstable. In addition, the proposed method has been successfully applied to the processing of real-field experimental data transmitted over thousands of meters and disturbed by complex noise. Consequently, a distinctive waveform of the transmitted pulse is obtained, and powerful technical support is provided for the realization of continuous mud pulse downhole data transmission in harsh mud circulation environments.

Developing multifunctional amide additive by rational molecular design for high-performance Li metal batteries

Rechargeable lithium batteries based on lithium metal anodes and high-nickel cathodes have unparalleled advantages in energy density. However, the massive growth of lithium dendrites and the rapid degradation of high-nickel ternary oxides in commercial electrolyte have greatly hindered their application. To circumvent this issue, we design a series of analogs as electrolyte additives by adopting acetyls as connecting units to splice multiple functional groups. Among these additives, N-methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA) stands out due to the rational molecular configuration and the synergistic complementarity of amide, trifluoromethyl and trimethylsilyl groups. The cycling reversibility of the lithium metal anode (1050 h at 1 mA cm−1 to 1 mAh cm−1) and the capacity retention of the LiNi0.9Co0.05Mn0.05O2 cathode (85.9 % at 3–4.3 V after 300 cycles) in MSTFA modified carbonate electrolyte are tremendously enhanced. In addition, the safety of the battery and the tolerance to harsh working conditions (high & low temperature, high-voltage) are also ameliorated. This work sheds light on the relationship between structure and activity of molecules as well as provides a novel idea for modular design of additives.

Preparation of phenyl-bridged hybrid organic-inorganic mesoporous vesicles with high thermal stability and hierarchical buildups

Hollow periodic mesoporous organosilicas have promising applications due to their excellent properties but have difficulty withstanding harsh working conditions, and current synthesis techniques typically require strong acids or strong base substances. In this study, we report an environmentally friendly synthesis technique of phenyl-bridged hybrid organic-inorganic mesoporous vesicles (Ph-HPMOs) with high thermal stability and hydrothermal stability using 1,4-bis(triethoxysilyl)benzene (BTEB) as an organosilica precursor in alkaline phosphate buffer solution. The Ph-HPMOs were robust with a diameter of 100–200 nm and a shell thickness up to 50 nm. In addition, the Ph-HPMOs had a unique hierarchical pore size distribution of macropores, cavities, mesopores and micropores with a high surface area of 560–930 m2/g and a large pore volume of 0.6–1.3 cm3/g. Also, the effect of different variables on the structural morphologies of the products were investigated. The optimized conditions for the Ph-HPMOs were 1 SDS:1.5 CTAB: 13.575 BTEB: 4.525 TEOS: 316.26 EtOH: 5119.92H2O (molar ratio). Additionally, aluminum ions (Al3+) were doped into Ph-HPMOs, and the catalytic properties were investigated in a fixed bed reactor, highlighting their high practical value as catalysts or adsorbents.

Self-lubrication behavior of the reaction-formed graphite/SiC composites with optimizing graphite content

Graphite/SiC composites, as one kind of self-lubricating composites, are used in aerospace, aviation and nuclear engineering and other high-tech fields faced with harsh working conditions. The fraction of soft lubricant (graphite) have a significance influence on its lubricating properties. However, it is extremely difficult for the reaction-formed graphite/SiC composites to maintain adequate graphite content given the rapid Si–C reaction at high temperature. In this work, different sizes of composite-powders constructed by graphite and glassy carbon were used as carbon sources to control the carbon content of reaction-formed graphite/SiC composites. The tribological properties of the composites was investigated by a ball-on-disk reciprocating tribometer under different loads, respectively. The results show that the carbon content increased from 15.80 vol% to 38.38 vol% with the increase of powder size (104 μm–345 μm) and the graphite/SiC composites with carbon content of 38.38 vol% exhibited the most outstanding self-lubricating with low friction coefficient (∼0.13) and wear rate (∼10−6 mm3 N−1m−1). In addition, the wear mechanisms of the composites against steel balls were investigated in detail through the microstructures of the wear surfaces. It reveals that the obtained higher carbon content in the composites can effectively improve the lubricating performance of the composites because of the formation of self-lubricating films derived from more layered structure graphite particles.

A novel method for early fault diagnosis of planetary gearbox with distributed tooth surface wear

Planetary gearbox (PGB) usually work in harsh working conditions with low speed and heavy load, and they are prone to wear. Different from the local faults, the distributed faults such as tooth surface wear are often weak and difficult to detect in the early stage, and it is difficult to extract fault characteristic. This paper presents an early fault diagnosis method for the distributed tooth surface wear of PGB to solve this problem. The proposed multi-channel optimal maximum correlation kurtosis deconvolution (MCO_MCKD) algorithm is used to extract fault characteristic. In order to enhance the effect of fault characteristic extraction (FCE), the algorithm first uses the sliding window principle to segment the input signal to establishes multiple channels for maximum correlation kurtosis (max_CK) optimization based on all the short signals obtained. The finite impulse response (FIR) filter with the max_CK is selected to filter the input signal, in order to realize FCE. The influence of tooth wear is mainly reflected in the frequency-domain signal amplitude. In order to realize early fault diagnosis, the frequency-domain statistical indicator fault characteristic energy ratio (FCER) is proposed based on this characteristic. The health status of the equipment is monitored by calculating the FCER of the signal after FCE. Early fault diagnosis is realized based on the mutation of the FCER. The simulation results show that MCO_MCKD algorithm has strong robustness. The experimental results show this proposed method is effective and superior.

A UWB Metal Waveguide Slot Array Antenna Based on Hybrid Resonant Structural Components

Due to their high reliability, anti-interference, and power capacity, metal waveguide slot array antennas are commonly used in harsh and extreme working conditions. However, the fractional bandwidth of waveguide slot array antennas is usually not wide enough (<20%), which limits the performance of the microwave system. Aiming at expanding the bandwidth, this letter proposes a metal slot array antenna utilizing hybrid resonant structures. Five resonance frequency points are simultaneously excited and are subtly arranged, resulting in a great expansion of the working frequency band. The measured results of the metal slot array antenna demonstrate that the working frequency band is from 7.35 to 10.05 GHz and the fractional bandwidth is expanded to 31%. The average realized gain is 15 dBi and the polarization is lower than −20 dB in the whole working frequency band. Therefore, this ultrawideband metal slot array antenna can not only enable the electronic equipment to work in harsh environments, such as space, but also improve the system performance in applications, such as wideband satellite communication and wideband radar imaging.

Ultrasonic in-situ measurement method and error analysis of wear of PEEK water-lubricated bearing materials

Water-lubricated polymer bearing is the key component to guarantee the function of ship propulsion systems, nuclear main pumps, hydraulic turbines and other important equipment. Abnormal wear of the water-lubricated polymer thrust bearing is a common failure under harsh working conditions such as low speed, heavy load, and sediment. Accurate acquisition of bearing wear is of great value for revealing the bearing wear mechanism and evaluating the bearing service life. Therefore, this paper proposes an in-situ measurement method of bearing wear based on ultrasound and parameter inversion. The objective function is defined as the correlation coefficient of the ultrasonic reflection coefficient amplitude spectrum. Different parameters, such as thickness, acoustic velocity, density and attenuation factor, are inverted by the particle swarm algorithm. Simulations are performed to analyze the influence of single-parameter to multi-parameter inversions on the objective function and the inversion of thickness. Taking the PEEK material as the subject, the experiment shows that the parameter inversion of thickness, density and attenuation factor has the highest accuracy, with errors within 0.15%, 2% and 95%, and the maximum absolute error of wear is 20 μm. If the amplitude of the reflected signal is small, the intensity of the transmission signal will affect the identification result of thickness.

Oil-film forming behavior of floating ring bearing under oil-starved lubrication

Floating ring bearing has the advantages of simple structure and high operating speed and is widely used in turbocharger and aero-engine. However, many harsh working conditions cause the floating ring bearing to produce starved lubrication and failures. Here, we investigated the starved lubrication characteristics of floating ring bearing via theoretical modeling and numerical simulation. We first established a theoretical model of starved-boundary lubrication based on the Reynolds equation for floating ring bearing. And meanwhile, an oil-film ratio coefficient is introduced into the theoretical model to reflect the degree of starved lubrication. We then analyzed the influence of inlet-boundary conditions (flow rate, oil-film thickness) on the starved-lubrication performance of floating ring bearings. The results showed that the flow rate obviously affects the bearing area of inside and outside oil film, and the oil-film ratio coefficient inside the bearing. When the oil supply is lower than 10 mL/min, the floating ring bearing is in a serious starved-lubrication state, and the oil-film area of bearing is reduced by 30%. The favorable oil supply flow rate can obviously improve the lubrication conditions, and also can predict the starved state of inner oil-film. Our study provides a theoretical basis for the fault detection of floating ring bearing.

The Influence of Axial Compressive Stress and Internal Pressure on a Pipeline Network: A Review

Due to their exceptional structural integrity, steel pipelines are the main component for oil and gas transmission. However, these pipelines are often affected by corrosion, despite corrosion protection, because of harsh working conditions. In addition to corrosion defects, pipelines are often subjected to multiple external loads. The combination of corrosion defects and external loads can significantly reduce the failure pressure, resulting in various failure behaviors. This reduction in failure pressure is especially critical in pipe bends as they are the weakest link in a pipeline. This paper presents an overview of the failure behavior of corroded steel pipe components subjected to internal pressure and axial compressive stress.

Application of magnetic analyzers for detecting carburization of pyrolysis furnace tubes

Ethylene pyrolysis furnace is a key equipment in the ethylene production industry with the pyrolysis furnace tube being the core component of the system. The tube operates at high temperature (950°C–1,100°C) and hydrocarbon medium for a long time, and the Cr35Ni45Nb centrifugal casting alloy material is often chosen as the material of the tube. Due to its harsh working conditions, its common failure issues include carburization, high-temperature creep cracking, thermal shock and thermal fatigue, overheating, creep expansion, bending, etc. Among them, carburization is the main cause of furnace tube failure. In this work, based on the characteristics of HP series (ASTM HP grade) furnace tube material, which is transformed from paramagnetic material to ferromagnetic material following carburization, the cracking furnace tube with different carburization layer thickness has been prepared, and the coercivity of furnace tube with different thickness of carburization layer is tested by magnetic analyzer. The relationship curve between carburization layer thickness and coercivity is subsequently studied to find a means to test the carburization layer thickness in engineering. By fitting the experimental data, the fitting rate reached 97%, which in turn verified the validity and accuracy of the method.

Working in corona-designated departments in a fortified underground hospital: Concerns about corona and predictors of job burnout.

In August 2020 during Israel's second COVID-19 wave Rambam Medical Center opened the Sammy Ofer Fortified Underground Emergency Hospital. This was declared a regional Corona center in the north of Israel, receiving the most severe Corona patients from the region. Alongside the advanced inpatient capacity and technology within the underground facility, there was a severe shortage of trained medical and paramedical staff, as well as harsh working conditions. The current study examined the implications and effects of working in an underground facility on healthcare workers, focusing on emotion regulation tendencies and profession as predictors of job burnout. Seventy-six healthcare workers, who had worked in the underground hospital for a minimum continuous period of 2 weeks during the peak of the COVID-19 pandemic, and a control group of 40 healthcare workers from northern Israel were asked to fill out an online survey administered via Qualtrics (total sample 116). The survey comprised six questionnaires: a demographic survey questionnaire; a COVID-19 concerns questionnaire; a psychological distress questionnaire (DASS, Depression Anxiety Stress Scale); trait worry (PSWQ; Penn State Worry Questionnaire); emotion regulation (ERQ, Emotion Regulation Questionnaire), and burnout (SMBM, Shirom - Melamed Burnout Measure). Independent-samples t-tests revealed no significant differences in psychological distress or burnout between Rambam Underground hospital workers and the control group. Conversely, COVID-19 concern scores were significantly different in the two groups, the Rambam hospital workers showing less concern (M = 2.9, SD = 0.73) than the control group (M = 3.47, SD = 0.76) [t (114) = -3.974, p < 0.001]. Hierarchical linear regression analysis identified the significant predictors of burnout among healthcare workers. Participants' profession (physician), psychological distress (total DASS score), and a personality trait of worry were statistically significant predictors for job burnout (p = 0.028, p < 0.001, p = 0.023, respectively). Concerns about COVID-19 marginally predicted job burnout (p = 0.09). Group (underground vs. control) and emotion regulation tendencies did not predict burnout. The two groups showed no significant differences in psychological distress nor in burnout. Being a physician, having an intrinsic trait of being overly worried and experiencing psychological distress were significant predictors for job burnout among healthcare workers, regardless of work environment (underground vs. control).

A wear monitoring method and influencing factors of water-lubricated polymer bearings based on improved ultrasonic reflection coefficient amplitude spectrum and ultrasonic reconfiguration calculation

The water-lubricated thrust bearings of the marine Rim-Driven Thruster (RDT) are usually composed of polymer composites, which are prone to serious wear under harsh working conditions. Ultrasonic is an excellent non-destructive monitoring technology, but polymer materials are characterized by viscoelasticity, heterogeneity, and large acoustic attenuation, making it challenging to extract ultrasonic echo signals. Therefore, this paper proposes a wear monitoring method based on an improved ultrasonic reflection coefficient amplitude spectrum, introducing an ultrasonic transfer function to mathematically resolve the attenuation coefficients in the propagation model, and using a differential evolutionary algorithm to invert the thickness, sound velocity, density, and attenuation coefficients of polymer bearings simultaneously. The effects of different influencing factors on the ultrasonic signal and identification results are explored, including probe contact pressure, surface roughness and surface inclination; In order to remove the influence of water film overlap on the identification of polymer bearing thickness, a water film separation method based on time-frequency domain ultrasonic reconfiguration is proposed to construct the ultrasonic theoretical time domain waveform of the bearing. An ultrasonic wear measurement system is built to record the ultrasonic echoes of PEEK test blocks with different pressures to the probe, surface roughness, and tilt angles. The experiment is carried out on the water film calibration test rig, using a high-precision spiral micrometer to simulate the mixing of water films of different thicknesses with polymer test block and collecting ultrasonic signals. The results show that the method has a thickness identification error of approximately 0.5% for PEEK specimens with different probe contact pressure, roughness, and tilt angle, and the reconfiguration thickness identification error is less than 1% for the full range of water film overlap.

Improving Seaport Wharf Maintenance and Safety with Structural Health Monitoring System in High Salt and Humidity Environments

Due to the harsh working conditions, the durability of the seaport wharf structure is poor compared with similar hydraulic structures. According to the structural characteristics of coastal port wharf and the particularity of a high salt and high humidity environment, the stress features of the coastal wharf structure are analyzed, and the health inspection indicators of the wharf structure are proposed. A fiber grating sensor-based structural health monitoring system for coastal high-pile piers is established. A corresponding system for detecting structural health is designed according to the standard structural section of the wharf’s front platform. The corresponding monitoring implementation scheme, sensor selection, and performance parameters are proposed. Finally, the realization technology and related indicators of data acquisition and transmission subsystem are given. The experimental results indicate that the waveform of the structural response to the wave load has a consistent sine wave pattern with the actual wave load. The maximum strain of the berthing pier appears at 4.35 m and 6.14 m, and the elevations reach 4.66 με and 5.31 με, respectively. The strain at other positions also has an obvious change trend. The experimental results provide some help for the research of the wharf health monitoring system.

Improved Configuration Proposal for Axial Reluctance Resolver Using 3-D Magnetic Equivalent Circuit Model and Winding Function Approach

Resolver is a position sensor that is widely employed in motor servo systems under harsh working conditions. In this article, a novel axial flux resolver with a fractional-slot sinusoidal distributed winding configuration is developed, which has the advantages of a simple structure and convenient mass production. Sinusoidal distribution winding expands the optional range of pole–slot combinations, and its harmonic suppression capability is proposed and verified by the winding function approach (WFA). Furthermore, the magnetic equivalent circuit (MEC) model is formulated to analyze the impact of structural parameters on the induced voltage envelope, through which the optimal parameters on the resolver are developed. In terms of computation time and accuracy, the results of the MEC model under healthy and eccentric conditions are compared with the finite-element method (FEM). In addition, the antiaxial offset capability of the half-wave resolver is illustrated and verified. The effectiveness and superiority of the proposed resolver are illustrated and verified based on numerical simulations and experimental tests.

Low-Temperature Working Feasibility of Zinc–Air Batteries with Noble Metal-Free Electrocatalysts

Open AccessRenewablesRESEARCH ARTICLES23 Jan 2023Low-Temperature Working Feasibility of Zinc-Air Batteries with Noble-Metal-Free Electrocatalysts Chang-Xin Zhao, Jia-Ning Liu, Nan Yao, Xiaoyuan Zeng, Aibing Chen, Peng Dong, Yingjie Zhang, Xinzhi Ma, Cheng Tang, Bo-Quan Li and Qiang Zhang Chang-Xin Zhao Google Scholar More articles by this author , Jia-Ning Liu Google Scholar More articles by this author , Nan Yao Google Scholar More articles by this author , Xiaoyuan Zeng Google Scholar More articles by this author , Aibing Chen Google Scholar More articles by this author , Peng Dong Google Scholar More articles by this author , Yingjie Zhang Google Scholar More articles by this author , Xinzhi Ma Google Scholar More articles by this author , Cheng Tang Google Scholar More articles by this author , Bo-Quan Li Google Scholar More articles by this author and Qiang Zhang Google Scholar More articles by this author https://doi.org/10.31635/renewables.023.202300026 SectionsSupplemental MaterialAboutPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked InEmail Expanding the application scenario for rechargeable batteries is the key to the terminal utilization of renewable energy. Enabling zinc-air batteries at low temperatures is drawing increasing attention, yet the low-temperature working feasibility of zinc-air batteries with noble-metal-free electrocatalysts remains indistinct. In this contribution, the low-temperature performances of zinc-air batteries with noble-metal-free electrocatalysts are comprehensively investigated. Armed with a representative noble-metal-free bifunctional oxygen electrocatalyst, the zinc-air batteries demonstrate satisfactory yet relatively declined performance at low temperatures, compared with that at room temperatures. The reduced electrolyte conductivity is identified as one of the limiting factors for the reduced low-temperature performances. Furthermore, electrolyte engineering via regulating the solvation structure is performed on the zinc-air batteries with noble-metal-free electrocatalysts, where a promoted low-temperature performance is achieved. This work reveals the compatibility between noble-metal-free electrocatalysts and low-temperature feasibility/low-temperature performance enhancement strategies for zinc-air batteries and affords new opportunities to satisfy low-cost and efficient energy storage at harsh working conditions. Download figure Download PowerPoint Next article FiguresReferencesRelatedDetails Issue AssignmentNot Yet AssignedSupporting Information Copyright & Permissions© 2023 Chinese Chemical Society Downloaded 0 times PDF downloadLoading ...

Last Turtlemen of the Caribbean: Waterscapes of Labor, Conservation, and Boundary Making

Last Turtlemen of the Caribbean: Waterscapes of Labor, Conservation, and Boundary Making