Recent Advances in High-Rate Solar-Driven Interfacial Evaporation.

Recent advances in solar-driven interfacial evaporation (SDIE) have led to high evaporation rates that open promising avenues for practical utilization in freshwater production and industrial application for pollutant and nutrient concentration, and resource recovery. Breakthroughs in overcoming the theoretical limitation of 2D interfacial evaporation have allowed for developing systems with high evaporation rates. This study presents a comprehensive review of various evaporator designs that have achieved pure evaporation rates beyond 4 kg m-2 h-1, including structural and material designs allowing for rapid evaporation, passive 3D designs, and systems coupled with alternative energy sources of wind and joule heating. The operational mechanisms for each design are outlined together with discussion on the current benefits and areas for improvement. The overarching challenges encountered by SDIE concerning the feasibility of direct integration into contemporary practical settings are assessed, and issues relating to sustaining elevated evaporation rates under diverse environmental conditions are addressed.

Recent Progress on Passive, Thermally Localized Solar-Driven Multistage Water Evaporation.

Thermally localized solar-driven water evaporation (SWE) in recent years has increasingly been developed due to the potential of cost-efficient freshwater production from small-scale portable devices. In particular, the multistage SWE has attracted much attention as the systems possess mostly a simple foundational structure and high solar-to-thermal conversion output rates, enough to produce freshwater from 1.5 L m-2h-1 (LMH) to 6 LMH. In this study, the currently designed multistage SWE devices were reviewed and examined based on their unique characteristics as well as their performances in freshwater production. The main distinguishing factors in these systems were the condenser staging design and the spectrally selective absorbers either in a form of high solar absorbing material, photovoltaic (PV) cells for water and electricity co-production, and coupling of absorber and solar concentrator. Other elements of the devices involved differences such as the direction of water flow, the number of layers constructed, and the materials used for each layer of the system. The key factors to consider for these systems include the heat and mass transport in the device, solar-to-vapor conversion efficiency, gain output ratio (representing how many times the latent heat has been reused), water production rate/number of stages, and kWh/number of stages. It was evident that most of the studied devices involved slightly different mechanisms and material compositions to draw out higher efficiency rates from the current limitations. The reviewed designs showed the ability to be adopted into small-scale solar desalination allowing for accessibility of sufficient freshwater in needing regions.

A rare case of facet joint synovial cyst connected to the intrathecal space: a case report.

Unexpected injection of local anesthetics into the intrathecal space can cause adverse effects, such as hypotension, shortness of breath, bradycardia, numbness or weakness, nausea and vomiting and serious complications, such as respiratory arrest, loss of consciousness and cardiac arrest. In this study, we report a case of a 68-year-old woman with a facet joint synovial cyst connected to the intrathecal space. The patient's clinical symptoms and radiological findings were consistent with those of a facet joint synovial cyst; however, during facet joint synovial cyst aspiration, it was found that the cyst was connected to the intrathecal space. Our experience shows that during the procedure of facet joint injection and facet joint synovial cyst aspiration, local anesthetics may be inadvertently injected intrathecally. Although this is highly uncommon, it can lead to serious side effects, such as total spinal anesthesia. Therefore, we present this case, along with a brief literature review.

Anesthetic management using remimazolam in a patient with atrial flutter: a case report.

Remimazolam is a new intravenously administered ultra-short-acting benzodiazepine used in anesthesia or sedation. Remimazolam offers several advantages over other short-acting sedatives, including an organ-independent metabolism and rapid and predictable onset and recovery. Furthermore, remimazolam shows less cardiovascular-inhibitory effects than other anesthetics. Atrial flutter is a form of cardiac arrhythmia that is associated with serious health-related outcomes and a substantial economic burden. Acute onset of atrial flutter can cause cardiac dysfunction, hypotension, and myocardial ischemia. Moreover, patients with atrial flutter are likely to have an increased risk of both atrial fibrillation and stroke. In this case report, a patient with a 1-year history of atrial flutter underwent general anesthesia for robot-assisted laparoscopic prostatectomy. Using continuous remimazolam infusion, anesthesia and surgery were successfully completed without sudden changes in the patient's blood pressure, heart rate, or electrocardiogram. This case report describes the first reported use of remimazolam to induce general anesthesia in a patient with atrial flutter. The findings suggest that remimazolam can reduce the hemodynamic risk during anesthesia in patients with arrhythmias such as atrial flutter, and is a suitable option for anesthesia in patients with arrhythmias.

Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models.

Determination of internal qualities such as total soluble solids (TSS) and pH is a paramount concern in strawberry cultivation. Therefore, the main objective of the current study was to develop a non-destructive approach with machine learning algorithms for predicting TSS and pH of strawberries. Six hundred samples (100 samples in each ripening stage) in six ripening stages were collected randomly for measuring the biometrical characteristics, i.e., length, diameters, weight and TSS and pH values. An image of each strawberry fruit was captured for colour feature extraction using an image processing technique. Channels of each colour space (RGB, HSV and HSL) were used as input variables for developing multiple linear regression (MLR) and support vector machine regression (SVM-R) models. The result of the study indicated that SVM-R model with HSV colour space performed slightly better than MLR model for TSS and pH prediction. The HSV based SVM-R model could explain a maximum of 84.1% and 79.2% for TSS and 78.8% and 72.6% for pH of the variations in measured and predicted data in training and testing stages, respectively. Further experiments need to be conducted with different strawberry cultivars for the prediction of more internal qualities along with the improvement of model performance.

Total intravenous anesthesia without muscle relaxant for pulmonary wedge resection in a patient with amyotrophic lateral sclerosis: a case report.

Muscle relaxants may exacerbate the symptoms of amyotrophic lateral sclerosis (ALS). Furthermore, ALS patients often experience respiratory muscle weakness. Herein, we report the case of a 63-year-old man with ALS who underwent pulmonary wedge resection using total intravenous anesthesia without muscle relaxant and single lumen endotracheal tube. After an unremarkable surgical procedure, the patient was transferred to the intensive care unit after extubation. The patient did not experience any worsening of ALS symptoms over the one-year follow-up period. Our experience shows that total intravenous anesthesia without muscle relaxants can be used as an anesthetic method for lung surgery in ALS patients. We report this case along with a brief literature review.

Successful treatment of symptomatic facet joint synovial cysts using C-arm fluoroscopy-guided percutaneous aspiration: report of two cases.

Lumbar facet-joint synovial cysts are an important cause of back pain and radiculopathy. Treatment options for facet-joint synovial cysts include surgical excision, facet-joint steroid injections, and facet-joint cyst aspiration. Although percutaneous facet-joint synovial cyst aspiration is an effective and minimally invasive procedure for treating patients with symptomatic facet-joint synovial cysts, its success rate is known to be low. Here, we report out experience with treating two men using this approach. The men presented with back pain or radiculopathy. In both cases, magnetic resonance imaging showed facet-joint synovial cysts in the lumbar spine at various locations. Depending on the location of the cysts, 2-3 needles and various needle approaches were required for treatment. The facet-joint synovial cysts were aspirated using the intra-articular, interlaminar, or safe triangle approach. After aspiration, both patients experienced immediate improvement in their symptoms, and neither of them relapsed during more than 12 months of follow-up. Percutaneous aspiration of symptomatic facet-joint synovial cysts under fluoroscopic guidance is a treatment option worth considering in patients with facet-joint synovial cysts.

A novel recurrent neural network approach in forecasting short term solar irradiance.

Forecasting solar irradiance is of utmost importance in supplying renewable energy efficiently and timely. This paper aims to experiment five variants of recurrent neural networks (RNN), and develop effective and reliable 5-minute short term solar irradiance prediction models. The 5 RNN classes are long-short term memory (LSTM), gated recurrent unit (GRU), Simple RNN, bidirectional LSTM (Bi-LSTM), and bidirectional GRU (Bi-GRU); the first 3 classes are unidirectional and the last two are bidirectional RNN models. The 26 months data under consideration, exhibits extremely volatile weather conditions in Jinju city, South Korea. Therefore, after different experimental processes, 5 hyper-parameters were selected for each model cautiously. In each model, different levels of depth and width were tested; moreover, a 9-fold cross validation was applied to distinguish them against high variability in the seasonal time-series dataset. Generally the deeper architectures of the aforementioned models had significant outcomes; meanwhile, the Bi-LSTM and Bi-GRU provided more accurate predictions as compared to the unidirectional ones. The Bi-GRU model provided the lowest RMSE and highest R2 values of 46.1 and 0.958; additionally, it required 5.25*10-5 seconds per trainable parameter per epoch, the lowest incurred computational cost among the mentioned models. All 5 models performed differently over the four seasons in the 9-fold cross validation test. On average, the bidirectional RNNs and the simple RNN model showed high robustness with less data and high temporal data variability; although, the stronger architectures of the bidirectional models, deems their results more reliable.

Effect of clinical anesthesia preoperative evaluation on the length of preoperative period and total hospitalization of patients undergoing laparoscopic cholecystectomy.

OBJECTIVE: Anesthesia preoperative evaluation clinics (APECs) are currently operating in several South Korean hospitals. While several studies have investigated the impact of APEC operations on the length of total hospital stay (LTHS), few have investigated their impact on the length of preoperative hospital stay (LPHS) for patients. In this study, we aimed to determine whether APEC affected the LPHS and LTHS. METHODS: Data of all patients who underwent surgery at Chungbuk National University Hospital between September 2009 and August 2019 were analyzed retrospectively. All patients who had undergone laparoscopic cholecystectomy over the last 10 years were categorized into two groups: those who visited the APEC (Group A), and those who did not (Group B). The age, sex, American Society of Anesthesiologists physical status score, LPHS, and LTHS of the two groups were compared. RESULTS: The LPHS was 1.03±0.2 days in Group A and 1.61±1.6 days in Group B. The LTHS was 4.77±1.9 days in Group A and 5.63±2.6 days in Group B. The LPHS and LTHS of the two groups differed by 0.58 and 0.9 days, respectively. CONCLUSION: We evaluated the effect of APEC operations on the LPHS and LTHS of inpatients undergoing laparoscopic cholecystectomy and observed a decrease in both the LPHS and LTHS. Understanding and accepting the importance of APEC is significant for physicians and administrators working to improve hospital efficiency and patient outcomes. Further research is needed to investigate the need and benefits of APECs.

A rare case of acute meningitis shortly after lumbar selective nerve root block: a case report.

A 57-year-old man underwent lumbar selective nerve root block (SNRB) for low back pain and lower radiating pain caused by left-sided L4 disc herniation. He presented to the emergency department with fever, headache and aggravated low back pain approximately 3 hours after the procedure. Infection was suspected; hence, blood tests, cerebrospinal fluid (CSF) tests, lumbar magnetic resonance imaging, and brain computed tomography were performed. Imaging findings were not suggestive of infection. The CSF was turbid and yellowish with pleiocytosis; however, the CSF culture was negative. Based on these findings, the patient was diagnosed with acute meningitis. Broad-spectrum antibiotics and steroid therapy were initiated considering the patient's age and general condition. From hospital day (HD) 2, fever and headache were reduced and disappeared completely by HD 5. At the last follow-up, 1 month after discharge, the patient had no symptoms. Acute meningitis is associated with a high mortality and neurologic deficits. Hence, timely tests, diagnosis, and treatment are critical for positive outcomes. Symptoms of meningitis following a nerve block generally occur within 24-48 hours after the procedure. This case is notable, as it involved a quicker and more sudden onset of symptoms; meningitis occurred only a few hours after lumbar selective nerve root block.

Deep-Learning-Based Automatic Monitoring of Pigs' Physico-Temporal Activities at Different Greenhouse Gas Concentrations.

Pig behavior is an integral part of health and welfare management, as pigs usually reflect their inner emotions through behavior change. The livestock environment plays a key role in pigs' health and wellbeing. A poor farm environment increases the toxic GHGs, which might deteriorate pigs' health and welfare. In this study a computer-vision-based automatic monitoring and tracking model was proposed to detect pigs' short-term physical activities in the compromised environment. The ventilators of the livestock barn were closed for an hour, three times in a day (07:00-08:00, 13:00-14:00, and 20:00-21:00) to create a compromised environment, which increases the GHGs level significantly. The corresponding pig activities were observed before, during, and after an hour of the treatment. Two widely used object detection models (YOLOv4 and Faster R-CNN) were trained and compared their performances in terms of pig localization and posture detection. The YOLOv4, which outperformed the Faster R-CNN model, was coupled with a Deep-SORT tracking algorithm to detect and track the pig activities. The results revealed that the pigs became more inactive with the increase in GHG concentration, reducing their standing and walking activities. Moreover, the pigs shortened their sternal-lying posture, increasing the lateral lying posture duration at higher GHG concentration. The high detection accuracy (mAP: 98.67%) and tracking accuracy (MOTA: 93.86% and MOTP: 82.41%) signify the models' efficacy in the monitoring and tracking of pigs' physical activities non-invasively.

The Application of Cameras in Precision Pig Farming: An Overview for Swine-Keeping Professionals.

Pork is the meat with the second-largest overall consumption, and chicken, pork, and beef together account for 92% of global meat production. Therefore, it is necessary to adopt more progressive methodologies such as precision livestock farming (PLF) rather than conventional methods to improve production. In recent years, image-based studies have become an efficient solution in various fields such as navigation for unmanned vehicles, human-machine-based systems, agricultural surveying, livestock, etc. So far, several studies have been conducted to identify, track, and classify the behaviors of pigs and achieve early detection of disease, using 2D/3D cameras. This review describes the state of the art in 3D imaging systems (i.e., depth sensors and time-of-flight cameras), along with 2D cameras, for effectively identifying pig behaviors and presents automated approaches for the monitoring and investigation of pigs' feeding, drinking, lying, locomotion, aggressive, and reproductive behaviors.

Influence of different growing media on the growth and development of strawberry plants.

The optimal production of strawberries requires the essential nutrients and favourable media for vegetative and reproductive growth. The present study sought to determine the effectiveness of growth parameters and fruit yield of strawberries in different media growing under a greenhouse. To analyze the significant effect for the growth and fruit yield among the growing media, four treatments such as control soil (CS), bio plus compost (T1), the combination of bio plus compost, and synthetic nutrient applied media/integrated media (T2) and synthetic nutrient applied soil media (T3) were assayed. Morphology parameters like plant height, canopy area, fresh weight, dry weight of roots were measured in each stage after eight weeks and sixteen weeks and yield attributing parameter as the number of fruits set per plant and number of fruits per plant were measured at the beginning and end of the reproductive stage eight and sixteen weeks respectively. The effects of growing media for the strawberry plant growth and productivity were analyzed using completely randomized block designs through analyzing the variance with a significance level of p < 0.05. The canopy area of the strawberry plants was calculated using the image processing technique applied in HSV colour space. Correspondingly, the vegetative stage and reproductive stage of T2 plants attained the maximum plant height of 16.93 ± 0.31 cm and 19.34 ± 0.21 cm, canopy area with 23.02 ± 1.94 cm2 and 28.78 ± 0.93 cm2, fresh weight of 18.00 ± 3.06 g, and 20.15 ± 3.49 g, dry weight of 5.15 ± 1.26 g and 6.66 ± 2.34 g and the number of fruits set per plant 18.83 ± 2.64 and number of fruits per plant 24.17 ± 2.14 followed by T1, T3, and CS respectively. A comparison of the relative growth and fruit yield at the vegetative and reproductive phases of plants T2 implied better performance. This study demonstrated that bio plus compost with synthetic nutrients act as a better source for the growth and production of strawberries under the greenhouse.

Machine Learning-Based Microclimate Model for Indoor Air Temperature and Relative Humidity Prediction in a Swine Building.

Indoor air temperature (IAT) and indoor relative humidity (IRH) are the prominent microclimatic variables; still, potential contributors that influence the homeostasis of livestock animals reared in closed barns. Further, predicting IAT and IRH encourages farmers to think ahead actively and to prepare the optimum solutions. Therefore, the primary objective of the current literature is to build and investigate extensive performance analysis between popular ML models in practice used for IAT and IRH predictions. Meanwhile, multiple linear regression (MLR), multilayered perceptron (MLP), random forest regression (RFR), decision tree regression (DTR), and support vector regression (SVR) models were utilized for the prediction. This study used accessible factors such as external environmental data to simulate the models. In addition, three different input datasets named S1, S2, and S3 were used to assess the models. From the results, RFR models performed better results in both IAT (R2 = 0.9913; RMSE = 0.476; MAE = 0.3535) and IRH (R2 = 0.9594; RMSE = 2.429; MAE = 1.47) prediction among other models particularly with S3 input datasets. In addition, it has been proven that selecting the right features from the given input data builds supportive conditions under which the expected results are available. Overall, the current study demonstrates a better model among other models to predict IAT and IRH of a naturally ventilated swine building containing animals with fewer input attributes.

A Rare Case of Euphoria Caused by Lidocaine After an Erector Spinae Plane Block: A Case Report.

Lidocaine is a cost-effective drug that is widely used for local and regional anesthesia. However, central nervous system (CNS) toxicity can occur when lidocaine is administered above the maximum recommended dose (approximately 4.5 mg/kg) or if lidocaine is injected intravascularly rather than administered locally. Systemic toxicity by lidocaine has been reported in several studies. However, psychotic reactions due to lidocaine have been rarely reported; furthermore, reports of lidocaine-related euphoria are very rare. We report a very rare case of euphoria caused by CNS toxicity that occurred during the local administration of lidocaine at the therapeutic dose. Therefore, anesthesiologists should be aware of the severe side effects of local anesthetics despite administering the appropriate dosage at the appropriate location. Future studies should investigate pharmacokinetics to determine the safety profile of local anesthetics.

A Comparative Study of PLSR and SVM-R with Various Preprocessing Techniques for the Quantitative Determination of Soluble Solids Content of Hardy Kiwi Fruit by a Portable Vis/NIR Spectrometer.

Linear partial least square and non-linear support vector machine regression analysis with various preprocessing techniques and their combinations were used to determine the soluble solids content of hardy kiwi fruits by a handheld, portable near-infrared spectroscopy. Fruits of four species, namely Autumn sense (A), Chungsan (C), Daesung (D), and Green ball (Gb) were collected from five different areas of Gwangyang (G), Muju (M), Suwon (S), Wonju (Q), and Yeongwol (Y) in South Korea. The dataset for calibration and prediction was prepared based on each area, species, and in combination. Half of the dataset of each area, species, and combined dataset was used as calibrated data and the rest was used for model validation. The best prediction correlation coefficient ranges between 0.67 and 0.75, 0.61 and 0.77, and 0.68 for the area, species, combined dataset, respectively using partial least square regression (PLSR) method with different preprocessing techniques. On the other hand, the best correlation coefficient of predictions using the support vector machine regression (SVM-R) algorithm was 0.68 and 0.80, 0.62 and 0.79, and 0.74 for the area, species, and combined dataset, respectively. In most cases, the SVM-R algorithm produced better results with Autoscale preprocessing except G area and species Gb, whereas the PLS algorithm shows a significant difference in calibration and prediction models for different preprocessing techniques. Therefore, the SVM-R method was superior to the PLSR method in predicting soluble solids content of hardy kiwi fruits and non-linear models may be a better alternative to monitor soluble solids content of fruits. The finding of this research can be used as a reference for the prediction of hardy kiwi fruits soluble solids content as well as harvesting time with better prediction models.

Percutaneously Inserted Unilateral Lead Migration Salvaged with a Paddle Electrode.

INTRODUCTION: Lead migration has been regarded as a frequent complication after percutaneous spinal cord stimulation (SCS). Thus far, repeated reinsertion of leads or replacement of paddle electrodes after removing percutaneous leads has been performed, but a salvage surgical technique using the remaining electrode has not been reported. Here, we describe a case in which unilateral lead migration was successfully treated with the insertion of a paddle electrode. CASE SUMMARY: A 44-year-old male paraplegic patient with chronic neuropathic pain in the right leg and low back for 7 years underwent a percutaneous spinal cord stimulation procedure 5 times over 2 years because of repeated unilateral lead migration. The left lead underwent repeated migration and was difficult to reinsert due to epidural adhesion. After confirming the position and stimulation area of the remaining lead, we decided to insert another paddle electrode beside the remaining lead. We performed a T10 laminotomy and inserted a paddle electrode on the right side, using it in combination with the previous left lead. After surgery, the patient was satisfied with a wide coverage area. DISCUSSION: We recommend salvage additional paddle electrode insertion rather than removing both leads during revision SCS. This surgical method increases the possibility of covering the dorsal column (DC) of the spinal cord, is cost effective, and decreases the possibility of failing to cover dorsal column using the paddle electrode during open surgery because the remaining lead's position and stimulation area guide the insertion of the additional paddle lead.

Treatment for gastric 'indefinite for neoplasm/dysplasia' lesions based on predictive factors.

BACKGROUND: Gastric 'indefinite for neoplasm/dysplasia' (IFND) is a borderline lesion that is difficult to diagnose as either regenerative or neoplastic. There is a need for guidance in the identification of a subset of patients, who have an IFND lesion with a higher risk of malignant potential, to enable risk stratification and optimal management. AIM: To determine the clinical and pathologic factors for the accurate diagnosis of gastric IFND lesions. METHODS: In total, 461 gastric lesions diagnosed via biopsy as IFND lesions were retrospectively evaluated. Endoscopic resection (n = 134), surgery (n = 22), and follow-up endoscopic biopsy (n = 305) were performed to confirm the diagnosis. The time interval from initial biopsy to cancer diagnosis was measured, and diagnostic delays were categorized as > 2 wk, > 2 mo, > 6 mo, and > 1 year. The IFND lesions presenting as regenerating atypia (60%) or atypical epithelia (40%) at initial biopsy were adenocarcinomas in 22.6%, adenomas in 8.9%, and gastritis in 68.5% of the cases. RESULTS: Four clinical factors [age ≥ 60 years (2.445, 95%CI: 1.305-4.580, P = 0.005), endoscopic size ≥ 10 mm (3.519, 95%CI: 1.891-6.548, P < 0.001), single lesion (5.702, 95%CI: 2.212-14.696, P < 0.001), and spontaneous bleeding (4.056, 95%CI: 1.792-9.180, P = 0.001)], and two pathologic factors [atypical epithelium (25.575, 95%CI: 11.537-56.695, P < 0.001], and repeated IFND diagnosis [6.022, 95%CI: 1.822-19.909, P = 0.003)] were independent risk factors for gastric cancer. With two or more clinical factors, the sensitivity and specificity for carcinoma were 91.3% and 54.9%, respectively. Ten undifferentiated carcinomas were initially diagnosed as IFND. In the subgroup analysis, fold change (5.594, 95%CI: 1.458-21.462, P = 0.012) predicted undifferentiated or invasive carcinoma in the submucosal layers or deeper. Diagnostic delays shorter than 1 year were not associated with worse prognoses. Extremely well-differentiated adenocarcinomas accounted for half of the repeated IFND cases and resulted in low diagnostic accuracy even on retrospective blinded review. CONCLUSION: More than two clinical and pathologic factors each had significant cut-off values for gastric carcinoma diagnosis; in such cases, endoscopic resection should be considered.

Influence of aeration rate and reactor shape on the composting of poultry manure and sawdust.

To achieve successful composting, all the biological, chemical, and physical characteristics need to be considered. The investigation of our study was based on various physicochemical properties, i.e., temperature, ammonia concentration, carbon dioxide concentration, pH, electrical conductivity (EC), carbon/nitrogen (C/N) ratio, organic matter (OM) content, moisture content, bacterial population, and seed germination index (GI), during the composting of poultry manure and sawdust for different aeration rates and reactor shapes. Three cylindrical-shaped and three rectangular-shaped pilot-scale 60-L composting reactors were used in this study, with aeration rates of 0.3 (low), 0.6 (medium), and 0.9 (high) L min-1 kg-1 DM (dry matter). All parameters were monitored over 21 days of composting. Results showed that the low aeration rate (0.3 L min-1 kg-1 DM) corresponded to a higher and longer thermophilic phase than did the high aeration rate (0.9 L min-1 kg-1 DM). Ammonia and carbon dioxide volatilization were directly related to the temperature profile of the substrate, with significant differences between the low and high aeration rates during weeks 2 and 3 of composting but no significant difference observed during week 1. At the end of our study, the final values of pH, EC, moisture content, C/N ratio, and organic matter in all compost reactors were lower than those at the start. The growth rates of mesophilic and thermophilic bacteria were directly correlated with mesophilic and thermophilic conditions of the compost. The final GI of the cylindrical reactor with an airflow rate of 0.3 L min-1 kg-1 DM was 82.3%, whereas the GIs of the other compost reactors were below 80%. In this study, compost of a cylindrical reactor with a low aeration rate (0.3 L min-1 kg-1 DM) was more stable and mature than the other reactors. Implications: The poultry industry is growing in South Korea, but there are problems associated with the management of poultry manure, and composting is one solution that could be valuable for crops and forage if managed properly. For high-quality composting, the aeration rate in different reactor shapes must be considered. The objective of this study was to investigate various physicochemical properties with different aeration rates and rector shapes. Results showed that aeration rate of 0.3 L min-1 kg-1 DM in a cylindrical reactor provides better condition for maturation of compost.

Are There as Many Essential and Non-essential Minerals in Hydroponic Strawberry (Fragaria ananassa L.) Compared to Those Grown in Soil?

The present study aims to compare the contents of minerals (essential major-K, Ca, Mg, Na, P, S; essential trace-Fe, Mn, Zn, Cu, B, Mo, As, Se, Ni, V, Cr, Co; non-essential-Sn, Ga, Li, Be, Rb, Sr, Al, Pd, Cd, Hg, Pb, Ge) in strawberry (stem, leaf, and fruit) cultivated in two different cultivation systems, soil and hydroponic. The concentrations of 30 minerals in the acid-digested strawberry samples were determined by ICP-MS and ICP-OES. Hydroponic strawberry (leaf > fruit > stem) indicated higher values for most minerals which were below the plant toxicity levels. In leaves collected from the hydroponic system, it was observed there were larger amounts of Fe, Zn, B, As, Se, Ni, V, Cr, Al, Cd, and Pd. Hydroponic fruits were the significant sources of K, P, Mn, Zn, Cr, and Co. Hydroponic strawberry leaves could contribute twice as many higher and safe daily intake of minerals to humans than other fruits. This analysis shows that, firstly, higher quality and safely edible produce can be provided by the hydroponic system; and secondly, strawberry leaf is a potential mineral source.