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As part of the analysis following the Seeded and Natural Orographic Wintertime Storms (SNOWIE) project, the ice water content (IWC) in ice and mixed-phase clouds is retrieved from airborne Wyoming Cloud Radar (WCR) measurements aboard the University of Wyoming King Air (UWKA), which has a suite of integrated in situ IWC, optical array probes, and remote sensing measurements, and it provides a unique dataset for this algorithm development and evaluation. A sensitivity study with different idealized ice particle habits shows that the retrieved IWC with aggregate ice particle habit agrees the best with the in situ measurement, especially in ice or ice-dominated mixed-phase clouds with a correlation coefficient (rr) of 0.91 and a bias of close to 0. For mixed-phase clouds with ice fraction ratio less than 0.8, the variances of IWC estimates increase (rr = 0.76) and the retrieved mean IWC is larger than in situ IWC by a factor of 2. This is found to be related to the uncertainty of in situ measurements, the large cloud inhomogeneity, and the retrieval assumption uncertainty. The simulated reflectivity Ze and IWC relationships assuming three idealized ice particle habits and measured particle size distributions show that hexagonal columns with the same Ze have a lower IWC than aggregates, whose Ze–IWC relation is more consistent with the observed WCR Ze and in situ IWC relation in those clouds. The 2D stereo probe (2DS) images also indicate that ice particle habit transition occurs in orographic mixed-phase clouds; hence, the retrieved IWC assuming modified gamma particle size distribution (PSD) of aggregate particles tends to have a greater bias in this kind of clouds.

A detailed description is given of how the liquid water content (LWC) and the ice water content (IWC) can be determined accurately and absolutely from the measured water Raman spectra of clouds. All instrumental and spectroscopic parameters that affect the accuracy of the water-content measurement are discussed and quantified; specifically, these are the effective absolute differential Raman backscattering cross section of water vapor , and the molecular Raman backscattering efficiencies ηliq and ηice of liquid and frozen microparticles, respectively. The latter two are determined following rigorous theoretical approaches combined with Raman Lidar for Atmospheric Moisture Sensing (RAMSES) measurements. For ηice, this includes a new experimental method that assumes continuity of the number of water molecules across the vertical extent of the melting layer. Examples of water-content measurements are presented, including supercooled liquid-water clouds and melting layers. Error sources are discussed; one effect that stands out is interfering fluorescence by aerosols. Aerosol effects and calibration issues are the main reasons why spectral Raman measurements are required for quantitative measurements of LWC and IWC. The presented study lays the foundation for cloud microphysical investigations and for the evaluation of cloud models or the cloud data products of other instruments. As a first application, IWC retrieval methods are evaluated that are based on either lidar extinction or radar reflectivity measurements. While the lidar-based retrievals show unsatisfactory agreement with the RAMSES IWC measurements, the radar-based IWC retrieval which is used in the Cloudnet project performs reasonably well. On average, retrieved IWC agrees within 20% to 30% (dry bias) with measured IWC.

Chemical vapor deposition (CVD) is considered as the most promising route towards low-cost and scalable growth of 2D nanomaterials. Nevertheless, low melting point substrate is not suitable for the high growth temperature (more than 773 K) requirement of CVD route, which limits its wide applications in electronic and catalysis fields. Under ice/water mixing environment (273 K–278 K) we have developed a low temperature growth of 2D Cu/Cu2O nanosheets, which demonstrate excellent oxygen reduction reaction (ORR) activity (onset potential: 0.987 V, halfwave potential: 0.921 V) under 273 K–278 K low temperature. Experimental and first-principles calculated results demonstrated that oriented attachment of copper nanostructures played an important role for the low temperature growth of 2D copper nanosheets, and abundant active Cu2O stepped atoms on 2D copper nanosheets resulted in excellent low temperature ORR activity. The unique ice/water mixing environment will pave a new road for low temperature growth of high quality 2D nanomaterials.

Objectives To assess the effects of hydration status and ice-water dousing on physiological and performance parameters. Design Randomized, crossover. Methods Twelve athletes (mean[M] ± standard deviation[SD]; age, 20 ± 1 years; height, 174 ± 8 cm; body mass, 72.1 ± 11.0 kg; VO2max 53.9 ± 7.3 mL⋅kg−1⋅min−1) completed four trials (euhydrated without dousing, hypohydrated without dousing, euhydrated with dousing, and hypohydrated with dousing), which involved intermittent treadmill running (five 15-minute bouts) in the heat (M ± SD; ambient temperature, 34.7 ± 2.1 °C; relative humidity, 46 ± 3%; wet-bulb globe temperature, 28.0 ± 0.4 °C). Participants also completed four cognitive, power, agility, reaction time, and repeated sprint performance tests throughout each trial. Heart rate (HR) and rectal temperature (Trec) were measured continuously. Repeated measures ANOVAs were performed to assess differences between physiological and performance variables. Alpha was set at ≤0.05, a priori. Data are reported as mean difference ± standard error (MD ± SE). Results HR was significantly lower in euhydrated trials compared to hypohydrated trials, irrespective of dousing (8 ± 2 bpm; p = 0.001). Dousing did not significantly impact HR (p = 0.455) and there was no interaction between hydration and dousing (p = 0.893). Trec was significantly lower in euhydrated trials compared to hypohydrated trials (0.39 ± 0.05 °C, p Conclusions Athletes should aim to maintain euhydration during exercise in the heat for improved physiological function and cooling with ice-water dousing elicits additional performance benefits.

PURPOSE This study aimed to assess associations between exertional heat stroke (EHS) and sex, age, prior performance, and environmental conditions, and report on resources needed for EHS cases at the Boston Marathon. METHODS We analyzed participant characteristics, environmental data, and EHS medical encounters during the 2015-2019 Boston Marathon races. RESULTS Among 136,161 starters, there was an incidence of 3.7 EHS cases per 10,000 starters (95% confidence interval, 2.8-4.9), representing 0.5% of all medical encounters. There were significant associations between sex and age (P < 0.0001), sex and start wave (P < 0.0001), and age group and start wave (P < 0.0001). Sex was not significantly associated with increased EHS incidence; however, age younger than 30 yr and assignment to the first two start waves were. All cases occurred at races with average wet bulb globe temperatures of 17°C-20°C. There was a linear correlation between EHS incidence and greater increases in wet bulb globe temperature from start to peak (R2 = 0.7688). A majority of cases (37; 72.5%) were race finishers; nonfinishers all presented after mile 18. Most were triaged 3-4 h after starting, and all were treated with ice water immersion. Treatment times were prolonged (mean (SD), 78.1 (47.5) min; range, 15-190 min); 29.4% (15 cases) developed posttreatment hypothermia, and 35.3% (18 cases) were given intravenous fluids. Most (31 cases; 64.6%) were discharged directly, although 16 cases (33.3%) required hospital transport. There were no fatalities. CONCLUSIONS Younger and faster runners are at higher risk for EHS at the Boston Marathon. Greater increases in heat stress from start to peak during a marathon may exacerbate risk. EHS encounters comprise a small percentage of race-day medical encounters but require extensive resources and warrant risk mitigation efforts.

Conditions of high ice water content (HIWC; defined herein as at least 1.0 g m−3) are often found in the anvils of convective systems and can cause engine damage and/or failure in aircraft. We use ice water content (IWC) retrievals from satellite-borne radar and lidar (CloudSat and CALIOP) to provide the first analysis of global HIWC frequency using 11 years of data (2007–17). Results show that HIWC is generally present in 1%–2% of CloudSat and CALIOP IWC retrievals between flight level 270 (FL270; 27 000 ft or 8.230 km) and FL420 (42 000 ft or 12.801 km) in areas with frequent convection. Similar rates of HIWC are found over midlatitude oceans at relatively low altitudes (below FL270). Possible nonconvective mechanisms for the formation of this low-level HIWC are discussed, as are the uncertainties suggesting that the results at these low altitudes are an overestimation of the true threat of HIWC to aircraft engines. The satellite IWC retrievals are also used to validate an HIWC diagnostic tool that provides storm-scale statistics on HIWC over the contiguous United States (CONUS) during the summer convective season (May–August from 2012 to 2019). Results over the CONUS suggest that HIWC over the Great Plains is highest in June, when a point in the region is under HIWC conditions for approximately 25 h of 30 days on average. The mean area-equivalent diameters of HIWC conditions in some areas of the Great Plains exceed 350 km, and the conditions can persist for 4–5 h.

espanolLa artritis reumatoide es una enfermedad muy degenerativa, que si no es tratada a tiempo puede producir una discapacidad muy grave a quien la padece, ya que esta enfermedad, produce dolor e inflamacion en las articulaciones diartrodiales que afecta aproximadamente al 1% de la poblacion. Entre los multiples tratamientos que se pueden utilizar, la crioterapia es una tecnica que puede ser empleada, ya que es utilizada en otras enfermedades musculares con buenos resultados. La metodologia de la investigacion es una revision bibliografica, apoyada en medios electronicos como fuente primaria de obtencion de la informacion, los trabajos encontrados dieron aportes fundamentales para la consecucion de este trabajo. La conclusion fundamental es que la crioterapia o crisoterapia demuestra que mitiga el dolor y las inflamaciones en sus diferentes modalidades terapeuticas (criomasaje, inmersion en agua helada, paquete de hielo), ya que produce un retraso de los canales de sodio, que retardan las corrientes de sodio responsables de la despolarizacion de las fibras nerviosas, musculares, que explicarian el aumento del umbral del dolor y el potencial efecto hipoalgesico atribuido a la crioterapia. EnglishRheumatoid arthritis is a very degenerative disease, which if not treated in time can cause a very serious disability to those who suffer from it, since this disease causes pain and inflammation in the diarthrodial joints that affects approximately 1% of the population. Among the many treatments that can be used, cryotherapy is a technique that can be used, since it is used in other muscle diseases with good results. The research methodology is a bibliographic review, supported by electronic media as the primary source for obtaining information, the works found gave fundamental contributions to the achievement of this work. The fundamental conclusion is that cryotherapy or chrysotherapy shows that it mitigates pain and inflammation in its different therapeutic modalities (cryomassage, immersion in ice water, ice pack), since it produces a delay of the sodium channels, which retard the currents of sodium responsible for the depolarization of nerve and muscle fibers, which would explain the increase in pain threshold and the potential hypoalgesic effect attributed to cryotherapy

The increase of the thermal conductivity of PUR foam in the insulation of the cabinet is an important cause for aging processes of household refrigerating appliances. To determine the influence of the PUR foam aging on energy consumption, the development of a new measurement method is necessary because current methods influence the aging behavior of household refrigerators and are therefore not applicable in general. Based on a latent heat sink, constructed as an ice water bucket, a new measurement method is developed to determine the k · A value over time. With this method, the k · A value of four household refrigerating appliances was determined over an interval of 14 months. The k · A value increased between 3.6% and 11.5% during this period.

High-resolution lake ice/water observations retrieved from satellite imagery through efficient, automated methods can provide critical information to lake ice forecasting systems. Synthetic aperture radar (SAR) data is well-suited to this purpose due to its high spatial resolution (approximately 50 m). With recent increases in the volume of SAR data available, the development of automated retrieval methods for these data is a priority for operational centres. However, automated retrieval of ice/water data from SAR imagery is difficult, due to ambiguity in ice and open water signatures, both in terms of image tone and in terms of parameterized texture features extracted from these images. Convolutional neural networks (CNNs) can learn features from imagery in an automated manner, and have been found effective in previous studies on sea ice concentration estimation from SAR. In this study the use of CNNs to retrieve ice/water observations from dual-polarized SAR imagery of two of the Laurentian Great Lakes, Lake Erie and Lake Ontario, is investigated. For data assimilation, it is crucial that the retrieved observations are of high quality. To this end, quality control measures based on the uncertainty of the CNN output to eliminate incorrect retrievals are discussed and demonstrated. The quality control measures are found to be effective in both dual-polarized and single-polarized retrievals. The ability of the CNN to downscale the coarse resolution training labels is demonstrated qualitatively.

The objective of this study was to evaluate different methods used for estimating cook loss in broiler breast fillets (pectoralis major). Two experiments were conducted. In the first experiment, intact fillets were weighed, cooked to 75°C, and then subjected to 1 of 3 postcook handling treatments: cooling for 5 min at room temperature before reweighing (5-minute), cooling at room temperature until they reached room temperature before reweighing (RT), or cooling in ice water until they reached room temperature before reweighing (IW). In the second experiment, breast fillet portions were used to compare the effects of endpoint temperature (53°C, 57°C, 68°C, 75°C, or 90°C) on cook loss estimation by the 5-minute and RT methods. Breast fillets were collected from local chicken processing plants and trimmed to similar weight prior to cooking. Cook loss, cook loss retention, and total cook loss after 24 h in cooked fillets were measured for comparisons. Data showed that cook loss (

Theoretical model has been developed for predicting the average stress values during melting of water frozen in silicon-based mesoporous structures in the temperature range 233...273 K, caused by the difference in the thermal expansion coeffi cients of the heterogeneity elements in the materials studied. Numerical calculations were carried out using and dependences of the average stress tensor components on the volumetric water content in the mesoporous silicon matrix were investigated.

Although freezing is the most popular long-term food preservation method, the formation of ice crystals during the freezing process often degrades the quality of the product. Recently, several reports have argued that oscillating magnetic fields (OMFs) may affect ice crystallization. In this paper, we investigated the effects of OMFs on fresh mackerel using the Cell Alive System® (CAS®) developed as an additional OMF generator for a rapid freezer. Mackerel fillets were frozen with home freezing (HF), air blast freezing without (ABF) or with CAS (ABF-CAS) (ABI Co. Ltd., Chiba, Japan), and stored them for 2 weeks in the frozen storage between -30 °C and -35 °C. We analyzed the tissue damages of thawed samples histologically. The OMFs has been shown to significantly inhibit tissue damage in mackerel tissue after freezing and thawing (especially, thawing in ice water). And it seems that OMFs suppressed the ice hole counts (p 0.05), the mean size (p = 0.061), and the increase of interstitial area% (p 0.05) after freezing/thawing. We also found that it is necessary to avoid re-crystallization during thawing to maintain the quality of the frozen product. The use of OMFs with rapid thawing has the potential to improve cryopreservation in the food industry as well as in the bioscience industry.

Ice-water-structure interaction (IWSI) is a novel extension of the fluid-structure interaction (FSI), which is significant for design and operating of polar ship and offshore structures. It involves multi-media and multi-interfaces and thus is quite complicated to solve, no matter from mathematical or mechanical perspectives. Although IWSI is complex and still very new, researchers try to develop various methods to deal with it and relevant literature starts to bloom. This paper aims to provide concise descriptions of typical analytical numerical and experimental methods to solve IWSI, together with a review of their major applications to date. Lastly, we succinctly highlight some development tendencies and some pieces of work to be investigated for each method.

Snow and ice were monitored by thermistor-string-based Snow and Ice Mass Balance Array (SIMBA) in Lake Orajärvi in northern Finland. An existing automatic SIMBA-algorithm was further developed to derive air/snow, snow/ice and ice/water interfaces based on the SIMBA environment temperature (ET) profiles. The identified interfaces agreed with in situ observations made in 2011/12 winter season. The method was capable to identify upward-moving snow/ice interface that was also visible from SIMBA heating temperature (HT) profiles, which responds to differences in the thermal diffusivities of air, snow, ice and water. The SIMBA data obtained in winters 2017/18 and 2018/19 were used to investigate snow and ice mass balance. An upward-moving snow/ice interface was detected as a result of meteoric ice (snow ice and superimposed ice) formation. Snow contributed to granular lake ice formation up to 40–55% of the total ice thickness on the seasonal mean. Heavy snowfalls and low air temperature in early winter are favourable for granular ice formation. The seasonal mean snow depth on nearby land was 2.7–2.9 times of that on the lake. The estimation of freeboard from snow and ice mass-balance measurement is sensitive to the snow density. Accurate ice freeboard calculation is still a challenge.

In a 2018 paper by Bukovčić et al., polarimetric bivariate power-law relations for estimating snowfall rate S and ice water content (IWC), and , were developed utilizing 2D video disdrometer snow measurements in Oklahoma. Herein, these disdrometer-based relations are generalized for the range of particle aspect ratios from 0.5 to 0.8 and the width of the canting angle distribution from 0° to 40° and are validated via analytical/theoretical derivations and simulations. In addition, a novel S(KDP, Zdr) polarimetric relation utilizing the ratio between specific differential phase KDP and differential reflectivity Zdr, , is derived. Both KDP and are proportionally affected by the ice particles’ aspect ratio and width of the canting angle distribution; therefore, the variables’ ratio tends to be almost invariant to the changes in these parameters. The S(KDP, Z) and S(KDP, Zdr) relations are applied to the polarimetric S-band WSR-88D data obtained from three geographical locations in Virginia, Oklahoma, and Colorado, and their performance is compared with estimations from the standard S(Z) relations and ground snow measurements. The polarimetric estimates of snow accumulations from the three cases exhibit smaller bias in comparison with the S(Z), indicating good potential for more reliable radar snow measurements.

This paper describes development of a method for discriminating high ice water content (HIWC) conditions that can disrupt jet-engine performance in commuter and large transport aircraft. Using input data from satellites, numerical weather prediction models, and ground-based radar, this effort employs machine learning to determine optimal combinations of available information using fuzzy logic. Airborne in situ measurements of ice water content (IWC) from a series of field experiments that sampled HIWC conditions serve as training data in the machine-learning process. The resulting method, known as the Algorithm for Prediction of HIWC Areas (ALPHA), estimates the likelihood of HIWC conditions over a three-dimensional domain. Performance statistics calculated from an independent subset of data reserved for verification indicate that the ALPHA has skill for detecting HIWC conditions, albeit with significant false alarm rates. Probability of detection (POD), probability of false detection (POFD), and false alarm ratio (FAR) are 86%, 29% (60% when IWC below 0.1 g m−3 are omitted), and 51%, respectively, for one set of detection thresholds using in situ measurements. Corresponding receiver operating characteristic (ROC) curves give an area under the curve of 0.85 when considering all data and 0.69 for only points with IWC of at least 0.1 g m−3. Monte Carlo simulations suggest that aircraft sampling biases resulted in a positive POD bias and the actual probability of detection is between 78.5% and 83.1% (95% confidence interval). Analysis of individual case studies shows that the ALPHA output product generally tracks variation in the measured IWC.

This work describes the practical implementation of the method for digital noise suppression during processing images containing ice information to recognize automatically the contours of «ice-water» objects during aerial photography. Images containing ice information have special characteristic structural features related to noise, e.g.granularity, glare, ice crumbs. This makes difficult or even impossible to recognize automatically the contours of ice-water objects. It is known that the success of the application of edge recognition methods depends on how much image noise is reduced. The paper discusses the construction method for the management of noise. The method is based on the sequential application of the Haar wavelet transform denoising using thresholding, clustering by k-means method. For the subsequent automatic construction of ice floes contours the Sobel operator is applied.The aim of the work is to develop a method capable to process digital images effectively that contain ice information with strong digital noise. In this work we treated the images of one-year ice containing strong digital image noise in the form of granularity and in the form of ice crumbs. A description of the features of each of the steps of the proposed method and practical application is given.As a result, the method was developed for processing images of ice information containing digital noise in absolute value commensurate with the basic data. It was noted that the use of the k-means method expands the scope. The k-rare method allows more detailed processing of ice information and distinguishes not only the contours of ice-water objects, but also the contours of ice crumbs.The conclusion formulates the main advantages of the method and the possible application of the algorithm in the process of local exploration of the ice conditions of the Northern Sea Route channel using unmanned aerial vehicle for aerial photography. The usage of unmanned aerial vehicle for aerial photography will increase the frequency of weather forecast updates and predict the appearance of ice objects at the ship’s heading. That will allow us to select the safest and most economical efficient route along the Northern Sea Route.The authors have no competing interests.

The solid–liquid interface of water is ∼50% narrower (or thinner) than that of argon. With the help of molecular dynamics simulations, we compare two water models, namely, TIP4P/ice and mW, with Le...

High Ice Water Content (HIWC) regions above tropical mesoscale convective systems are investigated using data from the second collaboration of the High Altitude Ice Crystals and High Ice Water Content projects (HAIC-HIWC) based in Cayenne, French Guiana in 2015. Observations from in-situ cloud probes on the French Falcon 20 determine the microphysical and thermodynamic properties of such regions. Data from a 2-D stereo probe and precipitation imaging probe show how statistical distributions of ice crystal mass median diameter (MMD), ice water content (IWC), and total number concentration (Nt) for particles with maximum dimension (Dmax) > 55 μm vary with environmental conditions, temperature (T), and convective properties such as vertical velocity (w), MCS age, distance away from convective peak (L), and surface characteristics. IWC is significantly correlated with w, whereas MMD decreases and Nt increases with decreasing T consistent with aggregation, sedimentation and vapor deposition processes at lower altitudes. MMD typically increases with IWC when IWC < 0.5 g m-3, but decreases with IWC when IWC > 0.5 g m-3 for -15 °C ≤ T ≤ -5 °C. Trends also depend on environmental conditions, such as presence of convective updrafts that are the ice crystal source, MMD being larger in older MCSs consistent with aggregation and less injection of small crystals into anvils, and IWCs decrease with increasing L at lower T. The relationship between IWC and MMD depends on environmental conditions, with correlations decreasing with decreasing T. The strength of correlation between IWC and Nt increases as T decreases.

After initial enthusiasm for mild therapeutic hypothermia (TH) treatment after brain injuries, including global cerebral ischemia after cardiac arrest, subsequent trials suggested similar benefit using only targeted temperature management (TTM), with fewer side effects. Globally, effective treatment of brain ischemia with TH has declined. Recent data suggest, however, that TH to 33°C may be superior to TTM. We review the background and rationale underlying TH and TTM. We present previously published data from our own laboratory that confirms TH to 33°C provides superior brain cytoprotection, compared to 35°C or 37°C, over a range of delays to treatment and several durations of TH. We illustrate that the treatment effect size of either or 35 is superior to 37, but the effect size difference between 33 and 35, although significant, is small. We estimate that to demonstrate the superiority of TTM over TH, a clinical trial would need between 3,000 and 9,000 patients depending on the desired treatment effect size. Our review and our own data suggest that TH to 33°C is superior to TTM to 36°C, but an extremely large clinical trial would be needed to demonstrate the difference.

Changes in the ionic component of the under-ice mineralization in the southern basin of Lake Baikal in 2001–2016 are analyzed. Data on the under-ice layer mineralization variations derived from water conductivity measurements using the SBE-25 high-precision CTD sonde are compared with the results of calculation of salt separation during the formation and growth of the ice cover. The studies demonstrated that the mineralization increase is affected not only by salinization during ice crystallization but also by the water inflow from the central basin of the lake and from the Selenga River (more than a half of its runoff propagates to Southern Baikal in winter).

This paper studies the interaction between the solid and liquid phase in a brine and ice system which can explain why ice can both be generated and melted in the same brine environment. Ice...

Purpose To increase awareness of the need for coordinated medical care at 10-km races and to help direct future medical planning for these events. Methods We related medical encounter data from nineteen 10-km road races to runner, race, and environmental characteristics. We quantified the most commonly used resources and described the disposition of runners in these encounters. Results Across the 19 races and 90,265 finishers, there were 562 medical events for a cumulative incidence of 6.2 events per 1000 finishers (95% confidence interval, 5.7-6.8). Race size was associated with an increased incidence of medical events. Overall, the most common diagnosis was heat-related illness (1.6 per 1000 finishers), followed by musculoskeletal complaints (1.3 per 1000 finishers) and fluid-electrolyte imbalances (1.2 per 1000 finishers). For all diagnoses, runners with finishing times in the first performance quintile and in the fifth performance quintile had greater representation in the medical tent than mid-pack runners. Most runners were treated with supportive care, basic first aid, and oral rehydration. Ninety-four runners (1.0 per 1000 finishers) required ice water immersion for exertional heat stroke. There were low rates of hospital transport (0.2 per 1000 finishers), and no fatalities. Conclusions In 10-km road races, injury rates are low compared with longer races in similar weather conditions. Common medical issues can be managed with basic resources in the on-site medical tent. Green flag start race conditions may not predict race safety with regard to exertional heat stroke risk. There were no deaths in nearly 100,000 finishers.

We have utilized Solar Backscatter Ultraviolet (SBUV) instrument measurements of atmospheric radiance to create a 40-year record of polar mesospheric cloud (PMC) behavior. While this series of measurements is nearing its end, we show in this paper that Ozone Mapping and Profiling Suite (OMPS) Nadir Profiler (NP) instruments can be added to the merged SBUV PMC data record. Regression analysis of this extended record shows smaller trends in PMC ice water content (IWC) since approximately 1998, consistent with previous work. Current trends are significant at the 95 % confidence level in the Northern Hemisphere but not in the Southern Hemisphere. The PMC IWC response to solar activity has decreased in the Northern Hemisphere since 1998 but has apparently increased in the Southern Hemisphere.

Superhydrophobic sponges are very efficient oil-absorbing materials, but their poor durability and recyclability are critical shortcomings in practical applications. To address this issue, we prepared a silica-dodecyltrimethoxysilane (SiO2-DTMS)-modified melamine sponge through an entrapment method. The modified sponge (M-sponge) showed a large water contact angle (172°) and high continuous adsorption capacity (up to 10 000 times the native weight). More importantly, the M-sponge exhibited good durability and recyclability (without apparent change after 100 recycling sequences) in corrosive solutions, including strong acids and bases; hot water; ice water; common oils; solvents; and aromatic compound solutions. To verify its extensive applicability, multiple substrates, including steel, canvas and cellulosic paper, were also modified and prepared on a large scale. This strategy, using SiO2 as an example, provided a template for the production of durable and recyclable water-oil separation materials that can be produced via wholesale manufacturing.

Pacific White Shrimps (Litopenaeus vannamei) are an aquaculture species with global importance. For the purpose of this paper, the quality shelling process of Pacific White Shrimps, freshly harvested from farms and stored in a mixture ice water up to 24 hr, was investigated. Both the differences and correlations between the indexes such as peeling time, shrimp yield, chromatic aberration, texture, K value, TBA value, and microstructure were compared and analyzed. The optimal shell peeling time of Pacific White Shrimps was determined by ice water treatment for 8 hr. The shell peeling time was 1.77 min, the elasticity of the shrimp was 0.51 mm, the hardness was 2,124.58 g, K value was 1.33%, and TBA value was 0.004 mg/100 g. Both the smell and color of the shelled shrimp were normal. This study aims to endorse the mechanical shelling of Pacific White Shrimps.

This study derives the ice water path of the atmospheric column from the microwave sounder SAPHIR onboard Megha-Tropiques. SAPHIR (Sondeur Atmospherique du Profil d’Humidite Intertropicale par Radiometrie) is a cross-track, multichannel microwave humidity sounder with six channels ranging from 183.3 ± 0.2 to 183.3 ± 11 GHz near the 183.31 GHz water vapor absorption line. It measures the earth emitted radiation at these six frequencies. In this paper, Concurrent and collocated observations of Channel 183.31 ± 6.6 GHz, and 183.3 ± 11 GHz from SAPHIR and IWP (Ice water Path) from CloudSat have been used in the development the algorithm. A total of five sets of neural network model, each for 10° of incidence angle of SAPHIR have been developed. The model shows a correlation of 0.83 and RMSE of 195 g/m2 with an independent test dataset. The validation of the algorithm has been done by comparing the retrieval with various satellite derived IWP products such as CloudSat, GMI (Global precipitation measuring mission Microwave Imager) and MSPPS (Microwave Surface and Precipitation Products System). The instantaneous comparisons of IWP over a cyclonic storm ROANU demonstrate a good agreement between NN (Neural Network) derived IWP and CloudSat. A probability distribution of IWP indicates consistency between SAPHIR and CloudSat. A comparison of zonal mean between all the IWP products shows that SAPHIR performs better than GMI, and MSPPS.

Blood stasis syndrome is implicated in the development of chronic conditions, including cardio- and cerebrovascular diseases. Cyclo-(Tyr-Leu), named Sparganin A (SA), is a compound isolated from the ethanol extract of Rhizoma Sparganii. Here, the successful extraction of SA from Rhizoma Sparganii was verified by extensive spectral analysis using 1H NMR and 13C NMR. To determine the biological effects of SA, a mouse model of acute blood stasis was established by subcutaneous injection of adrenaline hydrochloride and placing the animals in an ice water bath. In this model, the concentration of TXB2, PAI-1, FIB, ET-1 was measured by ELISA, and thymus index (TI), hepatic index (HI), and spleen index (SI) were calculated. Molecular docking by SYBYL and functional analysis of the putative targets by STRING and Cytoscape were employed to identify the key targets of SA. The accumulated results documented that SA exhibits anticoagulative activity, and its key targets are VEGFA and SERPINE1. SA may be involved in the pathological process of complement and coagulation cascades. This study demonstrates that SA may be a promising drug to control coagulation in blood stasis syndrome.

Given the intrinsic sensitivity toward harsh settings and the new requirements in emerging fields, the development of bio-inspired materials, particularly super-repellent materials, has been severely restricted in many practical scenarios. In this work, a robust self-similar super-repellent film (SSF) with pattern manipulation and erasion healing for underwater display and wettability switching was successfully fabricated via a facile bulk-deposition method. The strategic integration of covalently cross-linked networks with hierarchical topography through solidification and dehydroxylation commendably conferred extreme super-hydrophobicity on SSF. Due to the three-dimensional super-hydrophobicity and regenerative characteristics, the SSF repeatedly realized wettability switching (>5 times) between super-hydrophobic and super-hydrophilic states by means of the erasion healing approach. More importantly, the novel combination of pattern manipulation and light-reflective phenomena enabled SSF to successfully achieve underwater display with the employment of flash-light. Furthermore, the embedded bio-inspired wettability on SSF remained unaltered after being subjected to various severe physical settings (>60 times), highly corrosive phases (pH 1–14), boiling/ice water, and outdoor experiments. Our findings convincingly stand out as a new tool for advancing the synthesis of robust and versatile super-repellent materials for various promising applications.