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Introduction: Pediatric acute limb ischemia (PALI) is a consequence of sudden loss of blood flow to an extremity that can progress to irreversible ischemia if not promptly treated. This may unfortunately result in life-changing consequences which include limb loss, limb length discrepancy, emotional trauma, and or financial stress. Due to the rarity of this condition, and the lack of high-quality evidence, treatment strategies have largely been anecdotal or extrapolated from treatment of the adult patient. The article is a guide to improve overall functional outcomes and reduce morbidity of PALI. Methods: The authors retrospectively analysed patient data on the electronic patient record of the hospital between January 2021 and December 2023. The patients with PALI were divided into three broad categories: iatrogenic arterial injury managed with the best medical management, managed surgically; iatrogenic deep vein injury/thrombosis, and trauma. Results: A total of 13 patients were referred during the study period. 9 were male. 8 cases were line related, 2 trauma and 3 acute deep vein thrombosis [DVT]. Two patients succumbed prior to intervention. Eight patients were managed with best medical therapy, two surgically and one by endovascular means. Conclusion: Since experience worldwide is limited with PALI, we decided to share our experience and a propose comprehensive algorithm for the management of PALI emphasizing a multi-disciplinary team approach that we follow at our hospital. Early and decisive involvement of vascular surgeons, hematologists, intervention radiologists, and pediatric intensive care physicians is necessary to achieve the most favorable outcomes.

AbstractThis paper describes deep neural network (DNN) models based on hyperparameter optimization for the prediction of the compressive strength of concrete. The novelty of this research lies in the implementation of optimized hyperparameters to train the DNN models with the aim to enhance their predictive accuracy. Utilizing the Keras Tuner library, the most effective hyperparameters for the DNN models were identified. These models are then trained and evaluated using an experimental dataset of 1030 instances, encompassing nine quantitative variables that include various concrete mix ingredients and age. The target variable for all models is the compressive strength of concrete. The assessment of model performance, based on metrics like mean squared error (MSE) and R2 values, was conducted on previously unseen test data. The optimal configuration for the hidden layers in the model was identified as five layers, containing 12, 16, 16, 40, and 26 neurons, respectively. The optimal learning rate for the model was 0.001. With this set of optimal hyperparameters, the best DNN model achieved an MSE of 28.76 and an R2 value of 0.89 on the testing data. The results demonstrate a significant improvement in the DNN models' performance when trained with the optimized hyperparameters. In comparison to the regression model, the performance of the DNN models was significantly better. Adopting the predictive models developed in this research offers the potential for substantial cost and time savings by circumventing the need for labour-intensive and time-consuming laboratory tests.

Deep or Social Ecology? A Debate from Herbert Marcuse Marcuse After comparing the different perspectives of ‘Deep Ecology’ and ‘Social Ecology,’ the essay proceeds to analyze the Andrew Light’s proposal. Particular attention is paid to the role that Light believes Marcusian theory of nature and society could play to recompose the different perspectives.

Purpose: Hemangiomas are the most common vascular tumors in childhood, and the treatment options have undergone profound changes in recent years. In this study, we aimed to compare the efficacy and safety of beta-blockers on hemangiomas, both topi-cal and oral, with non-pharmacological treatment in the pediatric age group. Material and Methods: We retrospectively reviewed the medical records of pediatric patients with hemangiomas. Results: Fifty-three patients (F/M=40/13) were enrolled in this study. Superficial hemangiomas were detected in 14 (26.4%) patients, and deep hemangiomas were detected in 39 (73.6%) patients. Seventeen patients were followed without medication, 19 were treated with a topical beta blocker, and 17 were treated with an oral beta blocker. Twelve patients with superficial hemangi-omas were followed without medication, while two received topical timolol treatment. A comparison of lesion progression in patients with superficial hemangiomas in the non-pharmacological treatment and topical treatment groups showed that the mean scores of success, in terms of mean fading and reduction in lesion depth, were significantly higher at the first month (7.0 vs. 1.66; p=0.049; 6.0 vs. 1.5; p=0.045). Among patients with deep hemangiomas, a comparison of mean fading scores showed no difference between the oral and topical treatment groups in the first and fourth months (p=0.551, p=0.551). Conclusion: We believe that oral beta-blockers can be used instead of topical treatment in the future, and they will be preferred more by clinicians and families due to less side effects.

Deep rock mass is in a complex mechanical environment characterized by high ground stress, high ground temperature, high karst water pressure, and strong mining disturbance, resulting in difficult support and high levels of failure in the pump chamber group. To solve the problem of the instability of the deep pump chamber group, this paper takes the −890-level pump absorbing well chamber group of the Daqiang coal mine as the engineering background. Through theoretical analysis, numerical simulation, and field tests, the reasons for the failure of the chamber group are analyzed, and the effects of intensive design and traditional design on the stability control of the surrounding rock are compared. According to the characteristics of high constant resistance, high elongation, and energy absorption of the negative Poisson’s ratio (NPR) cable, the instability energy criterion of intersection under the NPR cable support is established, where the chamber is stable at KN ≤ 1. The intensive control strategy of the pump absorbing well with a high prestressed NPR cable and three-dimensional truss as the core is presented and applied in the field. The results show that high ground stress, low surrounding rock strength, dense chamber group distribution, unreasonable excavation sequence of the chamber group, and inappropriate support are the main reasons for the failure of the deep pump absorbing well chamber group. Compared with the traditional design, the intensive design simplifies the layout and construction procedure of the chamber by considering the absorbing well, improves the stress conditions of the chamber, reduces the displacement and stress of the roadway, makes the plastic zone range smaller and more uniform, and eliminates the spatial effect. The deformation energy of the surrounding rock is released through the high constant resistance and large deformation of the NPR cable and the reserved gap between the truss and the surrounding rock, and the deformation of the surrounding rock is limited through the application of high prestress to the NPR cable and the strength of the three-dimensional truss material, which allows for the full use of the self-bearing capacity of the surrounding rock and effectively ensures the roadway stability. The field application shows that this strategy can effectively ensure the stability of the chamber group; the deformation of the surrounding rock is controlled within 70 mm, and there is no shedding, cracking, or destruction of the sprayed layer after concrete sealing, which indicates that the technology plays an important role in controlling the stability of the deep roadway and can provide a reference for similar projects.

The slurry pump, which forms the core equipment of the deep-sea mining (DSM) system, provides lifting power for the ore from the seabed to the sea level, which is crucial for the safety of coarse ore particle transportation. Velocity slip plays a significant role in revealing the migration of the pump particles. Therefore, this study analyzes the velocity slip in a slurry pump using the computational fluid dynamics–discrete element method (CFD-DEM) for the first time. The relationship between the pump head and velocity slip was proposed and verified in this study based on the velocity triangle and Euler equation of the solid-liquid two-phase flow in the impeller. The effects of different particle sizes on the velocity slip are compared in detail. According to the computational results, the head depends on the larger velocity slip of the impeller outlet and lower velocity slip at the inlet. The peak value of the velocity slip was significantly reduced, and the peak position of the velocity slip and zero-point position moved backward for particle sizes ranging between 5-15 mm. This study provides a reference for the problems of particle migration and velocity slip in slurry pumps.

Slurry transport pumps, the central equipment of deep-sea mining (DSM) systems, provide the lifting power required for lifting mineral ores from the seafloor to the surface. The current technical challenges are associated with transport security and the economic aspects of coarse ore particles in pumps and pipelines. This paper focuses on the transportation characteristics of slurry pumps and uses theoretical methods, numerical calculations, and experimental methods to identify a feasible working mode. The geometric parameters of impeller channels in pump hydraulics significantly influence the migration properties of particles which in turn affects the overall security and economy of the system. The ratio of the impeller cross-sectional area F2/F1 (F1: cross-sectional area of the impeller outlet; F2: cross-sectional area of the impeller inlet) affects the particle passing capacity but negatively impacts pump efficiency. The percent of particles in the excellent passage interval of 0.2 s to 0.25 s increases from 25 to 43% when the number increases from 1.57 to 2.51. The pump behavior increases of the head by 5–10 m, and the efficiency decreases by 5–10%. So, the recommended span of F2/F1 is 1.57–2.00, and satisfying particle passing ability and efficiency can be achieved in this range. This study can provide a reference for the commercial transportation of slurry ores for deep-sea mining systems.

Compared to supervised denoising models based on deep learning, the unsupervised Deep Image Prior (DIP) denoising approach offers greater flexibility and practicality by operating solely with the given noisy image. However, the random initialization of network input and network parameters in the DIP leads to a slow convergence during iterative training, affecting the execution efficiency heavily. To address this issue, we propose the Masked-Pre-training-Based Fast DIP (MPFDIP) Denoising Model in this paper. We enhance the classical Restormer framework by improving its Transformer core module and incorporating sampling, residual learning, and refinement techniques. This results in a fast network called FRformer (Fast Restormer). The FRformer model undergoes offline supervised training using the masked processing technique for pre-training. For a specific noisy image, the pre-trained FRformer network, with its learned parameters, replaces the UNet network used in the original DIP model. The online iterative training of the replaced model follows the DIP unsupervised training approach, utilizing multi-target images and an adaptive loss function. This strategy further improves the denoising effectiveness of the pre-trained model. Extensive experiments demonstrate that the MPFDIP model outperforms existing mainstream deep-learning-based denoising models in reducing Gaussian noise, mixed Gaussian–Poisson noise, and low-dose CT noise. It also significantly enhances the execution efficiency compared to the original DIP model. This improvement is mainly attributed to the FRformer network’s initialization parameters obtained through masked pre-training, which exhibit strong generalization capabilities for various types and intensities of noise and already provide some denoising effect. Using them as initialization parameters greatly improves the convergence speed of unsupervised iterative training in the DIP. Additionally, the techniques of multi-target images and the adaptive loss function further enhance the denoising process.

BackgroundLow motivation and suboptimal cognitive skills are common among forensic psychiatric patients. By focusing on doing and experiencing, innovative technologies could offer an alternative to existing treatment for this patient group. One promising technology is DEEP, a VR biofeedback game that teaches diaphragmatic breathing, which has shown its potential in reducing stress in other populations. This exploratory study aimed at identifying if, how and for whom DEEP can be of added value in forensic mental healthcare.MethodsThis study used a qualitative approach. Six focus groups with 24 healthcare providers and 13 semi-structured interviews with forensic psychiatric inpatients were conducted in two Dutch forensic mental healthcare organizations. All healthcare providers and patients experienced DEEP before participating. The data were coded inductively, using the method of constant comparison.ResultsThe data revealed six themes with accompanying (sub)codes, including (1) the possible advantages and (2) disadvantages of DEEP, (3) patient characteristics that could make DEEP more or (4) less suitable and beneficial, (5) ways DEEP could be used in current treatment, and (6) conditions that need to be met to successfully implement DEEP in forensic mental healthcare. The results showed that DEEP can offer novel ways to support forensic psychiatric patients in coping with negative emotions by practicing diaphragmatic breathing. Its appealing design might be suitable to motivate a broad range of forensic psychiatric patient groups. However, DEEP cannot be personalized, which might decrease engagement and uptake of DEEP long-term. Regarding its place in current care, DEEP could be structurally integrated in existing treatment programs or used ad hoc when the need arises. Finally, this study showed that both healthcare providers and patients would need practical support and information to use DEEP.ConclusionWith its experience-based and gamified design, DEEP could be useful for forensic mental healthcare. It is recommended that patients and healthcare providers are included in the evaluation and implementation from the start. Besides, a multilevel approach should be used for formulating implementation strategies. If implemented well, DEEP can offer new ways to provide forensic psychiatric patients with coping strategies to better control their anger.

Deep coal resources are the crucial backup for China's energy security in the future. However, large deformation and instability of rock mass in deep roadway engineering still poses serious problems in the deep "three high and one complex" geomechanical environment. Therefore, this study departed from the support surrounding rock interaction and developed a series of NPR anchor bolts/cables with high strength, high constant resistance and large deformation mechanical properties. It constructed the constitutive equation of NPR anchor bolts, and carried out comprehensive mechanical tests indoor and on-site to verify the unique mechanical properties of NPR anchor bolts/cables. This study analyzed the interaction relationship between NPR support and surrounding rock, derived the constitutive relationship of rock mass supported by NPR, and elucidated the excavation compensation mechanical effect after adopting NPR coupling support, which revealed the high pre-stress NPR coupling support mechanism. By drawing on the actual working conditions of Daqiang Coal Mine, this study proposed the NPR support technology for intensive chambers group of deep pump house suction well with NPR bolt /cable as the core. The numerical analysis and field monitoring data show that the high prestress NPR coupling support technology can significantly improve the bearing characteristics of the support surrounding rock, effectively reduce the distribution and development range of the plastic zone of the rock mass in the roadway engineering, homogenize the support surrounding rock stress field, and reduce the overall deformation of the surrounding rock by more than 68 %, ensuring the long-term stability of the rock mass in the deep roadway engineering. The research results can provide reference for stability control of deep roadway engineering under similar conditions.

This paper provides a techno-economic assessment of coupling VVER-1000 Power Plants and hybrid desalination processes, including MED-TVC and RO systems, with a total 100,000 m3/day freshwater capacity. DEEP and DE-TOP tools initially developed by IAEA for evaluating nuclear desalination projects are used here. To reduce the environmental effect of rejecting waste brine and increasing the efficiency of the RO system, in the proposed hybrid desalination system, the waste of MED-TVC is used as the feed water of the RO system. DE-TOP obtained the most efficient extraction steam point to supply MED-TVC system with 90MWth at the point with a pressure of 1.1 MPa and mass flux of 121 kg/s. An intermediate circuit is considered to ensure there will be no contamination into the produced water to comply with IAEA safety requirements. In this manner, the power plant's cogeneration efficiency reaches 33% to 34%. Furthermore, the financial results show freshwater's levelized cost is almost 1.06 $/m3.

Energy efficiency investments are subject to various risks and uncertainties, which may affect involved actors’ profitability, and as such, there is a need for developing tools to support their decisions. So far, the developed methodological frameworks that aim at projecting the profitability and risk of such investments present a high technical complexity, and involved actors have difficulties in digesting their results. Consequently, despite their technical and academic value, the existing frameworks cannot achieve the essence of their scope, i.e., to provide concrete implications to capital providers. This article introduces the concept of IRR curve, as an appropriate tool for assessing the economic performance of energy efficiency investments from investors’ point of view. Based on this tool, an integrated framework for profitability assessment of energy efficiency investments is developed, by linking their economic performance and riskiness to investor preferences. The added value of this methodological framework lies in the comparability that it provides between different energy efficiency investments, thereby facilitating investment selection. Utilising this framework, capital providers can be supported in the selection of the country, sector, and project type to invest, while on the other hand, they can better comprehend the risk nature of energy efficiency investments as well as project their profitability and optimal investment holding period. To demonstrate the functionality of the proposed framework, we applied it to the German energy efficiency sector. Our findings provide evidence for the profitability potential of energy efficiency investments and implications about investment holding period.

Climate forecasting plays an important role for human life in many areas such as water management, agriculture, natural hazards including drought and flood, tourism, business, and regional investment. Estimating these data is a difficult task as the time series climate parameter values vary monthly and seasonally. Therefore, predicting climate parameters based on learning and artificial intelligence is important to long-term efficient results in these fields. For this purpose, in this study, a time-series based Long Short-Term Memory (LSTM) deep neural network is proposed to predict future climate in Çankırı and Adıyaman cities in Turkey. With the help of this network, the average temperature, relative humidity, and precipitation values, which are known as the most effective climate parameters, have been estimated. An improved Particle Swarm Optimization (PSO) technique is also proposed to optimize input weight values of the LSTM deep network, and reduce the estimation errors. The proposed algorithm is compared with deep models of LSTM variants based on Root Mean Square Error (RMSE), Mean Absolute Deviation (MADE), and Mean Absolute Percentage Error (MAPE) metrics. The proposed adaptive LSTM-PSO and non-adaptive LSTM-PSO models achieved at RMSE 0.98 and 1.05 for temperature, 1.19 and 1.27 for relative humidity, and 4.21 and 4.67 for precipitation estimation, respectively. The RMSE is %7 lower with the proposed adaptive LSTM-PSO method than proposed non-adaptive LSTM-PSO method.

We proposed the idea of editing a special issue that would compile the fruitful research that resulted from the stimulating discussions that occurred during the workshop that was held during the 5th International Conference on Intelligent Computing, Chennai on 25th & 26th March 2022. The objective of this special issue is to call for high-quality papers covering the latest data analytic concepts and technologies of big data and artificial intelligence. This special issue serves as a forum for researchers across the globe to discuss their work and recent advances in this field. The best papers from Artificial intelligence and Big Data Analytics (BAM) in the domains of Product, Finance, Health, and Environment were invited, peer-reviewed. The best high-quality papers were selected based on the innovativeness and relevance of the theme. The amount of data being generated and stored in various fields such as education, energy, environment, healthcare, fraud detection, and traffic is increasing exponentially in the modern era of Big Data. Simultaneously, there is a significant paradigm shift in business and society worldwide due to rapid advancements in fields such as artificial intelligence, machine learning, deep learning, and data analytics. This creates significant challenges for decision-making and the potential for transformation in areas such as the economy, government, and industry. Artificial Intelligence tools, techniques, and technologies, in conjunction with Big Data, improve the predictive power of the systems created and allow the government, public, and private sectors to discover new patterns and trends, as well as improve public values such as accountability, safety, security, and transparency to enable better decision-making, policies, and governance. They also have a wide range of capabilities to perform complex tasks that humans cannot. They could be used to collect, organize, and analyze large, diverse data sets to discover patterns and trends that address a variety of problems related to the development of the economy, such as identifying new sources of revenue, expanding the customer base for business, product reviews, and promotion, disease prediction and prevention, climatic variation prediction, and the provision of energy solutions. The wide variety of subject areas discussed at the 5th International Conference on Intelligent Computing is reflected in the seven accepted papers presented in the following section.

Social media platforms have become popular news sources thanks to their immense popularity and high speed of information dissemination. Using these platforms is essential for news organizations and journalists to track and discover news in digital journalism age. However, the abundance of meaningless data and the lack of organization on these platforms make it difficult to reach valuable news for journalists. In this paper, we create the first public dataset containing large number of real-world Turkish news tweets belonging to different news categories, to the best of our knowledge. We propose an artificial intelligence-based two-step approach to assist journalists for accessing the news shared by various sources on social media under the relevant categories like politics (elections, riots, etc.), health (pandemic, covid-19, etc.), etc. via a single platform by reducing the possibility of overlooking needed information. In the first step, we propose a machine learning based novel model for collecting and categorizing news posts on social media. We implement several traditional machine learning and deep learning based algorithms and evaluate their classification performance in terms of accuracy, precision, recall, and F1 score. In the second step, we develop a software tool, named TwitterBulletin, which automatically retrieves Turkish news tweets and groups them under news categories in real time by using the CNN classifier which achieves the best performance in the first step. The results show that the overall accuracy rate of TwitterBulletin is reasonably high and satisfactory despite the challenge of classifying short tweets.

The Sichuan Basin has abundant oil and gas resources and it has been generally acknowledged as a super petroliferous basin. In recent years, immense exploration and development potential of deep natural gas emerges in the Sichuan Basin. The identification of strike–slip faults and their reservoir controlling effects are of great significance to develop a new exploration domain of fault-controlled gas reservoirs. In order to clarify the distribution of strike–slip faults in the Sichuan Basin and their relationships with natural gas exploration, in view that the strike–slip faults in this basin are small and complex with poor seismic data and influenced more by the fold deformation of Triassic gypsum salt beds, this paper identifies strike–slip faults and analyzes their characteristics, distribution and genesis based on the interpretation of continuous 3D seismic data of the central Sichuan Basin. Then, the fault-controlled gas reservoir model of strike-slip fault is established by reviewing old wells and evaluating geological conditions of hydrocarbon accumulation. Finally, the exploration potential and exploration direction of fault-controlled gas reservoirs are discussed. And the following research results are obtained. First, intraplate weak strike–slip faults can be identified by combining the seismic profile marker of strike–slip fault with the plane marker. Second, eight large strike–slip fault zones with a total length of 1280 km are identified and confirmed in the central Sichuan Basin. Third, strike–slip faults are mainly distributed in the Sinian–Permian System, mainly composed of small-displacement oblique faults and echelon faults, and different in stratification, grading, classification and segmentation. Fourth, under the control of the oblique subduction of the Proto-Tethys Ocean and the different structures of the basement, the strike–slip faults in the central Sichuan Basin were formed in the Sinian and there are multiple stages of inherited Caledonian–Hercynian activities. Fifth, the strike–slip faults in the central Sichuan Basin play a role in source–reservoir connection, reservoir stimulation, and gas accumulation and high yield, and constitute the fault-controlled natural gas accumulation system of “three-element controlling reservoir and composite hydrocarbon accumulation” based on source rock, fault and reservoir. In conclusion, a large intraplate strike–slip fault system is developed in the Sichuan Basin, which has the geological conditions of hydrocarbon accumulation to form strike–slip fault-controlled large gas field, and the large source connecting strike-slip fault zones are the main breakthrough directions of natural gas exploration in fault-controlled carbonate rocks.

Background The ideal skin substitute should be more similar to normal skin function while causing fewer reactions. The purpose of this study was to assess the effect of radiotherapy on minimizing acute rejection and enhancing wound healing in children with deep burns. Patients and Methods A prospective randomized control study included 34 children admitted to the burn unit with deep burns under the age of 12 years. Through the tomotherapy device, a skin homograft from a related living donor was exposed to a local dose of radiotherapy of 500 centigray (cGy). It was immediately used for coverage of the prepared bed after the irradiation was completed. Results The mean values of the laboratory parameters (ESR, CRP, IL-6, and TNF) for all burn patients in the study showed a significant difference, with p

Background: Early adversities negatively impact children’s growth and development, putatively mediated by chronic physiological stress resulting from these adverse experiences. We aimed to estimate the associations between prospectively measured cumulative early adversities with growth and cognition outcomes in rural Indian preschool children and to explore if hair cortisol concentration (HCC), a measure of chronic physiological stress, mediated the above association. Methods: Participants were recruited from the SPRING cRCT in rural Haryana, India. Adversities experienced through pregnancy and the first year of life were measured in 1304 children at 12-months. HCC was measured at 12-months in 845 of them. Outcome measures were height-for-age-z-score (HAZ), weight-for-age-z-score (WAZ) and cognition, measured in 1124 children followed up at 3-years. Cognition was measured using a validated tablet-based gamified tool named DEEP. Results: Cumulative adversities at 12-months were inversely associated with all outcomes measures at 3-years. Each unit increase in adversity score led to a decrease of 0·08 units [95% confidence interval (CI):-0·11,-0·06] in DEEP-z-score; 0·12 units [-0·14,-0·09] in HAZ and 0·11 units [-0·13,-0·09] in WAZ. 12-month HCC was inversely associated with DEEP-z-score (-0·09 [-0·16,-0·01]) and HAZ (-0·12 [-0·20,-0·04]), but the association with WAZ was not significant (p = 0·142). HCC marginally mediated the association between cumulative adversities and HAZ (proportion mediated = 0·06, p = 0·014). No evidence of mediation was found for the cognition outcome. Conclusions: Cumulative early adversities and HCC measured at 12-months have persistent negative effects on child growth and cognition at 3-years. The association between adversities and these two child outcomes were differentially mediated by HCC, with no evidence of mediation observed for the cognitive outcome. Future studies should focus on other stress biomarkers, and alternate pathways such as the immune, inflammation and cellular ageing pathways, to unpack key mechanisms underlying the established relationship between early adversities and poor child outcomes.

The aim of this paper is to review NATO’s Defence Education Enhancement Programme (DEEP) and to bring to the fore the measures of effectiveness regarding its implementation and to determine its shortcomings in the South Caucasus region. At the same time, the paper highlights the efforts of the DEEP teams to influence the partner educators through dialogue and encouragement. The authors refer to the best examples considering the measures of effectiveness. Considering the outcomes achieved by the partner nations, they endeavoured to apply Kirkpatrick model for measuring DEEP’s effectiveness in the South Caucasus countries. The paper discusses how they can more effectively address the challenges in their professional military education (PME) through their tailored DEEPs. The paper analyzes the processes that led by the South Caucasus nations, their national interests and what steps still need to be taken to realize their ambitions to be intellectually interoperable with NATO forces.

The Holy Quran, as a miraculous miracle, has spoken in various surahs of the movement of the sun. Experimental science has also studied the motion of the sun. The question is, in terms of Quran commentators, what motions are spoken? How are the definitive findings of empirical science with the views of the commentators? The apparent difference between some verses such as Bakhtar / 258 and .. How is Saghar correct with the definitive findings of experimental science?The hypothesis of this research is not only the correspondence of the definitive findings of science, but also the scientific miracle and scientific spectacle of the Qur'an in some way of the movement of the sun.The research methodology is the data collection method and the library study and analysis of the content of the data.In this research, it was determined that the sum of verses related to the motion of the sun is divided into two categories. In the descriptive verses, the aspect of the scientific miracle of verses, such as: the moving of the Sun (Imari Lajel Masami), the wise state of movement (al-Shams and al-Qamar al-Fayl-i-Bashoon), the transitional-longitudinal movement (al-Shams-e Tazari, Lhashtar Lah, Dhlqqat al-'Aziz al-Alim) There is a long-range movement along with the galaxy (and al-Shams and al-Qamar al-Fayl-i-Bilak). The second verses of the second category have apparent inconsistencies with the definitive findings of empirical science, but with regard to the cornea of the authority, the industry of controversy and its conditions, there is no conflict between expression and empirical findings.

INTRODUCTION: Deep venous thrombosis(DVT) is the coagulum formation due to stasis,endothelial damage and hypercoagulability,which is also called as Virchow triad.It may cause severe sequel and death if it is not treated in a timely manner.In this article,we aimed to share the factors that affect the success rate of DVT patients treated with mechanical thrombectomy and our experience on this subject. METHODS: In the last year,mechanical and aspiration thrombectomy was performed in 13 patients with lower extremity venous thrombosis in the acute and subacute period in the interventional radiology clinic. RESULTS: Sonographically 3 patients were acute and 10 patients were subacute DVT.In the case of acute DVT,mechanical aspiration led to significant lumenal opening.In subacute DVT patients,partial opening with mechanical thrombectomy was achieved while half as much lumenal opening was provided as a result of simultaneous aspiration thrombectomy.In a month later,no significant luminal openings were observed in the subacute period when complete opening was observed in the acute phase. DISCUSSION AND CONCLUSION: We do not have enough information about what causes the long-term results of thrombectomy because it is a procedure that has recently been put into practice.However,because it reduces the thrombus burden and improves the efficacy of medical treatment,it is thought that the vein reduces the possibility of recurrent thrombosis and gives positive results in the long term.If the procedure is done in the early period with vena cava filtration,it is a safe and effective treatment method.Mechanical thrombectomy alone should not be sufficient and should be supported by aspiration,especially in long-standing cases from fifteen days.

Background: Early adversities negatively impact children’s growth and development, putatively mediated by chronic physiological stress resulting from these adverse experiences. We aimed to estimate the associations between prospectively measured cumulative early adversities with growth and cognition outcomes in rural Indian preschool children and to explore if hair cortisol concentration (HCC), a measure of chronic physiological stress, mediated the above association. Methods: Participants were recruited from the SPRING cRCT in rural Haryana, India. Adversities experienced through pregnancy and the first year of life were measured in 1304 children at 12-months. HCC was measured at 12-months in 845 of them. Outcome measures were height-for-age-z-score (HAZ), weight-for-age-z-score (WAZ) and cognition, measured in 1124 children followed up at 3-years. Cognition was measured using a validated tablet-based gamified tool named DEEP. Results: Cumulative adversities at 12-months were inversely associated with all outcomes measures at 3-years. Each unit increase in adversity score led to a decrease of 0·08 units [95% confidence interval (CI):-0·11,-0·06] in DEEP-z-score; 0·12 units [-0·14,-0·09] in HAZ and 0·11 units [-0·13,-0·09] in WAZ. 12-month HCC was inversely associated with DEEP-z-score (-0·09 [-0·16,-0·01]) and HAZ (-0·12 [-0·20,-0·04]), but the association with WAZ was not significant (p = 0·142). HCC marginally mediated the association between cumulative adversities and HAZ (proportion mediated = 0·06, p = 0·014). No evidence of mediation was found for the cognition outcome. Conclusions: Cumulative early adversities and HCC measured at 12-months have persistent negative effects on child growth and cognition at 3-years. The association between adversities and these two child outcomes were differentially mediated by HCC, with no evidence of mediation observed for the cognitive outcome. Future studies should focus on other stress biomarkers, and alternate pathways such as the immune, inflammation and cellular ageing pathways, to unpack key mechanisms underlying the established relationship between early adversities and poor child outcomes.

ObjectiveTo establish the relationship between hematoma sites of involvement and hematoma expansion (HE) in patients with deep intracerebral hemorrhage (ICH).MethodsEligible patients with deep ICH admitted to hospital within 6 hours of onset between 2018 and 2020 were included in this retrospective multi-center study. Individuals with secondary ICH were excluded. The volume of HE was evaluated based on admission and follow-up computed tomography scans. Associations between deep ICH sites of involvement and HE were examined using multivariable logistic regression analysis while adjusting for confounding covariates of HE.ResultsWe enrolled 583 individuals from three stroke centers. Data from a final total of 460 patients were used in the analysis; of these patients, 159 (34.6%) had HE. In the crude model without adjustment, external capsule, anterior limb of the internal capsule, and posterior limb of the internal capsule (PLIC) involvement were correlated with HE. After fully adjusted models for sex, age, intraventricular hemorrhage, Glasgow Coma Scale admission score, baseline ICH volume, and time from onset to initial computed tomography, multivariable logistic regression revealed that the PLIC is a robust predictor of HE in patients with deep ICH (adjusted odds ratio = 2.73; 95% confidence interval = 1.75–4.26; p < 0.001).ConclusionInvolvement of the posterior limb of the internal capsule in deep hemorrhage could be a promising predictor of HE.

Jingmen block is an essential location for the development and exploration of shale gas. The regional structure, the tectonic characteristics, and their influence on shale gas preservation in the Jingmen block were summarized based on observations from drilled cores, seismic data interpretation, FMI imaging logging results, and other methods of subsequent analysis. The study results show that: 1) the overall structure of the study area is simple. The shale corresponding to the Wufeng and Longmaxi formations of the Upper Ordovician and Lower Silurian periods were subjected to compression deformation in Indosinian and early Yanshanianand, following extension and strike-slip transformation in the late Yanshanian period. Structures, including back-thrust, echelon, parallel, inversion structures, and rifts, could also be observed 2) Fractures with different tectonic stages and scales have different effects on the preservation degree of shale gas in the study area, resulting in differences in the nature, scale and zone of influence of faults in different regions and 3) The crack associated with fault structure include interlayer low-angle detachment fracture, conjugate shear fracture, reticular fracture, high-angle shear fracture, high-angle strike-slip shear fracture, and high-angle fracture zone. The location and type of fracture development in different stages vary, which affect the shale gas preservation and migration 4) Based on the influence of structures on shale gas preservation, the study area is divided into four categories viz. two favorable areas and two more favorable areas.

Fiber optic sensors are expected to be an auxiliary measurement tool in the field of ocean observation due to their small size, easy networking, intrinsic immunity to electromagnetic interference, and many other advantages. In recent years, the research around fiber optic sensing technology in the field of physical ocean observation has received increasing attention from researchers. According to the different measurement objects and measurement principles, the focus is on the seawater temperature sensor based on fiber grating, seawater salinity sensor, seawater pressure sensor, seawater salinity sensor based on multi-core optical fiber, seawater salinity sensor based on Michelson and Mach-Zehnder interferometry, seawater pressure sensor based on Fabry-Perot cavity, fiber optic temperature salinity and depth sensors based on resonant and coupling technology, flow velocity sensor based on multi-core optical fiber and fiber optic turbulence sensors based on thermal dissipation and turbulent kinetic energy dissipation. The test methods and test results of various sensors are analyzed, and the advantages and disadvantages of the technologies are pointed out. Prospects for the application of fiber optic sensors in physical ocean observation are presented.

Management of incisional hernias in patients with cirrhosis, ascites, or bowel covered only by skin poses a challenge for the reconstructive surgeon. We hypothesized that a completely extraperitoneal repair with coverage of the hernia defect with autologous tissue and onlay mesh reinforcement could be an alternative for a durable repair.

Resumen: Introducción: Los abscesos cervicales profundos infantiles son entidades clínicas de gran importancia por su gravedad y sus posibles complicaciones. El objetivo del estudio es revisar nuestra experiencia en el manejo diagnóstico y terapéutico de los abscesos cervicales profundos infantiles, y compararla con la literatura publicada. Material y métodos: Estudio retrospectivo de todos los pacientes diagnosticados y tratados de abscesos cervicales profundos infantiles durante 15 años (2002-2016), analizando las características demográficas, clínicas, diagnósticas y terapéuticas. Resultados: Setenta y dos casos fueron diagnosticados. Se aprecia un incremento de su incidencia en los últimos años. La localización más frecuente han sido los abscesos periamigdalinos (30,6%), seguido de las adenopatías abscesificadas (18,1%), los abscesos parafaríngeos (16,7%) y los retrofaríngeos (16,7%). Las menos frecuentes han sido los abscesos submandibulares (12,5%) y parotídeos (5,6%). La distribución fue diferente según edad (p

As a nonlinear feature learning method, deep canonical correlation analysis (DCCA) has got a great success in computer vision. Compared with kernel methods, deep neural networks can more easily process large amounts of training data and do not require referring to the training set at test time. However, in the real world, due to the noise disturbance and the limited number of training samples, within-set and between-set sample covariance matrices cannot usually be estimated accurately, which causes that the gradient direction deviates from the true one when training DCCA. It incorporates fractional-order within-set and between-set scatter matrices to reduce the deviations of sample covariance matrices for gradient direction correction. In addition, to make full use of convolutional network's feature extraction ability and fractional model in modifying neural network gradient directions, we further propose two novel convolutional network-based FDCCA methods, named convolutional neural network-based FDCCA (CNN-FDCCA) and two-convolutional neural networks based FDCCA (2CNNs-FDCCA), respectively. The experimental results on MNIST and RAVDNESS datasets show that FDCCA has better recognition rates than existing methods. The experiments on AT&T dataset show that CNN-FDCCA and 2CNNs-FDCCA have great robustness in processing images.

This study aims to investigate the viability of using a nuclear heating reactor to supply energy and replace the used fossil crude oil energy supply of an existing MED-TVC (Multi-Effect Distillation-Thermal-Vapor-Compression) desalination plant located in Saudi Arabia. The MED-TVC, with a 91,200 m3/day capacity, was simulated using Aspen Plus®. The MED-TVC desalination plant was built in a parallel arrangement with oil-fired steam boilers, and it uses Red Sea water with a salinity of about 45,000 ppm. The simulation results of the MED-TVC are in good agreement with the actual data of the existing desalination plant. The heat required to operate the existing MED-TVC was determined to be 169 MW (th). This amount of heat was utilized as an input to DEEP (Desalination Economic Evaluation Program) to evaluate the production cost of fresh water using nuclear energy instead of fossil fuel. An economic comparison between the two energy sources was carried out in this study. The production cost of freshwater was estimated to be USD 1.38/m3 when using a nuclear reactor. In contrast, the estimated production cost was USD 0.95/m3 when using oil-fired boilers at a subsidized oil price of USD 4.4/bbl. The economic analysis has considered the discounted domestic crude oil prices in Saudi Arabia. Nuclear energy is cost-competitive with oil if Saudi Arabia raises the price of domestic crude oil to more than USD 15 per barrel or imposes a carbon tax of at least USD 20 per ton of greenhouse gas emissions.

Injuries to the flexor tendons of the wrist are a separate chapter in wrist surgery. Flexor tendon injuries still remain a challenge to ensure the patient's optimal outcome. A special problem in the exploration of hand injuries is the accurate assessment of whether there is an injury to one or more tendons, at what height the injury is, and whether it is accompanied by injury to other elements of the hand. On the volar side of the hand, both flexors of the fingers, superficial and deep, or just one of them, maybe injured. If the lesion is in the first zone depending on the severity of the injury, reinsertion or direct tenography is required. In the second zone, there are still ambiguous views on the reconstruction of the deep and superficial flexor, ie. whether the surface flexor needs to be reconstructed. Injury to the flexor tendons in the third zone requires careful exploration for possible injury to the neurovascular elements, and the fourth zone often requires the release of the carpal tunnel. In the most proximal zone of the flexor tendons, the fifth zone, injury to the main blood vessels of the hand and the nerves responsible for sensitive and motor innervation of the hand is possible. Each injury should be approached with careful preoperative examination, appropriate operative technique as well as postoperative rehabilitation in order to fully restore the function of the hand.

The international array of profiling floats known as Argo is a major component of the global ocean- and climate-observing system. In 2010, the NAOS (Novel Argo Observing System) project was selected as part of France’s Equipex “Investissement d’Avenir” program. The objectives of NAOS were to consolidate the French contribution to the Argo core mission (global temperature and salinity measurements down to 2,000 m) as well as to develop the future generation of French Argo profiling floats and prepare the next phase of the Argo program with an extension to the deep ocean (Deep-Argo), biogeochemistry (BGC-Argo) and polar seas. This paper summarizes the main technological advances and at-sea validations carried out as part of NAOS: development of a deep (4,000 m) float, a new BGC float for Research & Development (R&D) applications, and a BGC float for deployments in Arctic areas, assessment of a new density and Absolute Salinity optical sensor, improvement of the reliability of the standard Argo float, and upgraded satellite-transmission performance. French profiling floats developed in this way are now operational and among the most deployed worldwide, and the density sensor is the most promising of its kind for profiling floats applications.

The aim of this study is to investigate the effect of the blade shape on the characteristic of the flow patterns in a stirred tank. A new impeller blade design has been proposed. It is characterized by a converging hollow. The investigations of the flow structure generated in the vessel are made by using the computer code ANSYS CFX (version 16.0). The analysis has shown that the converging hollow blade yields highly radial flows which gave an increase in the radial velocity by 35% with less power consumption than the flat blade. Also, the effectiveness of the energy dissipation and the quality of mixing has been obviously noted. A validation test of our predicted results with other literature data was done, and a satisfactory agreement has been found.

Herein, first observations are reported of Magnapinna squids in the Colombian Southern Caribbean. Two specimens were observed by Remote Operated Vehicles (ROV) during exploratory drilling surveys for hydrocarbons at 1,883 and 2,294 m depth. These are the first observations of specimens of Magnapinna in the Southern Caribbean. Resumen La primera observación del calamar Magnapinna sp. en el caribe sur colombiano. Dos especímenes de calamares de aleta grande fueron observados con submarino de operación remota (ROV) durante un proyecto de perforación exploratoria de hidrocaburos a profundidades de 1,883 y de 2,294 m, respectivamente. Estas son las primeras observaciones de especímenes de Magnapinna en el Caribe Sur.

Background: The present study aims to investigate the effect of the first language (L1) orthography on the perception of the second language (L2) vowel contrasts and whether orthographic effects occur at the sublexical level. Methods: Fourteen adult Greek learners of English participated in two AXB discrimination tests: one auditory and one orthography test. In the auditory test, participants listened to triads of auditory stimuli that targeted specific English vowel contrasts embedded in nonsense words and were asked to decide if the middle vowel was the same as the first or the third vowel by clicking on the corresponding labels. The orthography test followed the same procedure as the auditory test, but instead, the two labels contained grapheme representations of the target vowel contrasts. Results: All but one vowel contrast could be more accurately discriminated in the auditory than in the orthography test. The use of nonsense words in the elicitation task eradicated the possibility of a lexical effect of orthography on auditory processing, leaving space for the interpretation of this effect on a sublexical basis, primarily prelexical and secondarily postlexical. Conclusions: L2 auditory processing is subject to L1 orthography influence. Speakers of languages with transparent orthographies such as Greek may rely on the grapheme–phoneme correspondence to decode orthographic representations of sounds coming from languages with an opaque orthographic system such as English.

Deep shale gas reservoirs buried underground with depth being more than 3500 m are characterized by high in-situ stress, large horizontal stress difference, complex distribution of bedding and natural cracks, and strong rock plasticity. Thus, during hydraulic fracturing, these reservoirs often reveal difficult fracture extension, low fracture complexity, low stimulated reservoir volume (SRV), low conductivity and fast decline, which hinder greatly the economic and effective development of deep shale gas. In this paper, a specific and feasible technique of volume fracturing of deep shale gas horizontal wells is presented. In addition to planar perforation, multi-scale fracturing, full-scale fracture filling, and control over extension of high-angle natural fractures, some supporting techniques are proposed, including multi-stage alternate injection (of acid fluid, slick water and gel) and the mixed- and small-grained proppant to be injected with variable viscosity and displacement. These techniques help to increase the effective stimulated reservoir volume (ESRV) for deep gas production. Some of the techniques have been successfully used in the fracturing of deep shale gas horizontal wells in Yongchuan, Weiyuan and southern Jiaoshiba blocks in the Sichuan Basin. As a result, Wells YY1HF and WY1HF yielded initially 14.1 × 104 m3/d and 17.5 × 104 m3/d after fracturing. The volume fracturing of deep shale gas horizontal well is meaningful in achieving the productivity of 50 × 108 m3 gas from the interval of 3500–4000 m in Phase II development of Fuling and also in commercial production of huge shale gas resources at a vertical depth of less than 6000 m.

Real-world applications such as first-person video activity recognition require intelligent edge devices. However, size, weight, and power constraints of the embedded platforms cannot support resource intensive state-of-the-art algorithms. Machine learning lite algorithms, such as reservoir computing, with shallow 3-layer networks are computationally frugal as only the output layer is trained. By reducing network depth and plasticity, reservoir computing minimizes computational power and complexity, making the algorithms optimal for edge devices. However, as a trade-off for their frugal nature, reservoir computing sacrifices computational power compared to state-of-the-art methods. A good compromise between reservoir computing and fully supervised networks are the proposed deep-LSM networks. The deep-LSM is a deep spiking neural network which captures dynamic information over multiple time-scales with a combination of randomly connected layers and unsupervised layers. The deep-LSM processes the captured dynamic information through an attention modulated readout layer to perform classification. We demonstrate that the deep-LSM achieves an average of 84.78% accuracy on the DogCentric video activity recognition task, beating state-of-the-art. The deep-LSM also shows up to 91.13% memory savings and up to 91.55% reduction in synaptic operations when compared to similar recurrent neural network models. Based on these results we claim that the deep-LSM is capable of overcoming limitations of traditional reservoir computing, while maintaining the low computational cost associated with reservoir computing.

Background: Hypertension is linearly associated with cardiovascular disease morbidity and mortality. Therefore, hypertension must be prevented and treated, and controlled adequately. Early treatment of hypertension is crucial because it can prevent complications in several organs such as the heart, kidneys, and brain. The treatment of hypertension has shifted from pharmacology to non-pharmacology because of the side effects it causes. One of the non-pharmacological management for hypertensive patients is slow deep breathing exercises. The mechanism of slow deep breathing relaxation (slow deep breathing) in the respiratory system is in the form of a state of inspiration and exhalation with a frequency of breaths of 6-10 times per minute, resulting in an increase in a cardiopulmonary stretch. Objective: To determine the effect of relaxation therapy: slow deep breathing on lowering blood pressure in patients with grade 1 hypertension. Method: Pre-experimental Design One Group Pre-Post Test Design. Results: Before being given slow deep breathing relaxation therapy, patients with grade 1 hypertension had an average (mean) systolic and diastolic blood pressure of 152.16 and 93.68 mmHg. After being given slow deep breathing relaxation therapy, patients with grade 1 hypertension have an average (mean) systolic and diastolic blood pressure of 140.42 and 92.74 mmHg. Conclusion: There is a significant effect between Relaxation Therapy: Slow Deep Breathing on Decreasing Blood Pressure in Level 1 Hypertension Patients.

Dev Kumar Shah, Ram Lochan Yadav, Deepak Sharma, Prakash Kumar Yadav, Niraj Khatri Sapkota, Rajesh Kumar Jha, Md Nazrul Islam Department of Physiology, Chitwan Medical College, Bharatpur, Chitwan, Nepal Background: Many factors shape the quality of learning. The intrinsically motivated students adopt a deep approach to learning, while students who fear failure in assessments adopt a surface approach to learning. In the area of health science education in Nepal, there is still a lack of studies on learning approach that can be used to transform the students to become better learners and improve the effectiveness of teaching. Therefore, we aimed to explore the learning approaches among medical, dental, and nursing students of Chitwan Medical College, Nepal using Biggs’s Revised Two-Factor Study Process Questionnaire (R-SPQ-2F) after testing its reliability. Methods: R-SPQ-2F containing 20 items represented two main scales of learning approaches, deep and surface, with four subscales: deep motive, deep strategy, surface motive, and surface strategy. Each subscale had five items and each item was rated on a 5-point Likert scale. The data were analyzed using Student’s t-test and analysis of variance. Reliability of the administered questionnaire was checked using Cronbach’s alpha. Results: The Cronbach’s alpha value (0.6) for 20 items of R-SPQ-2F was found to be acceptable for its use. The participants predominantly had a deep approach to learning regardless of their age and sex (deep: 32.62±6.33 versus surface: 25.14±6.81, P

Despite the importance of karst aquifers as a source of drinking water, little is known about the role of microorganisms in maintaining the quality of this water. One of the limitations in exploring the microbiology of these environments is access, which is usually limited to wells and surface springs. In this study, we compared the microbiology of the Madison karst aquifer sampled via the potentiometric lakes of Wind Cave with surface sampling wells and a spring. Our data indicated that only the Streeter Well (STR), which is drilled into the same hydrogeologic domain as the Wind Cave Lakes (WCL), allowed access to water with the same low biomass (1.56–9.25 × 103 cells mL-1). Filtration of ∼300 L of water from both of these sites through a 0.2 μm filter allowed the collection of sufficient cells for DNA extraction, PCR amplification of 16S rRNA gene sequences, and identification through pyrosequencing. The results indicated that bacteria (with limited archaea and no detectable eukaryotic organisms) dominated both water samples; however, there were significant taxonomic differences in the bacterial populations of the samples. The STR sample was dominated by a single phylotype within the Gammaproteobacteria (Order Acidithiobacillales), which dramatically reduced the overall diversity and species richness of the population. In WCL, despite less organic carbon, the bacterial population was significantly more diverse, including significant contributions from the Gammaproteobacteria, Firmicutes, Chloroflexi, Actinobacteria, Planctomycetes, Fusobacter, and Omnitrophica phyla. Comparisons with similar oligotrophic environments suggest that karst aquifers have a greater species richness than comparable surface environs. These data also demonstrate that Wind Cave provides a unique opportunity to sample a deep, subterranean aquifer directly, and that the microbiology of such aquifers may be more complex than previously anticipated.

The mysticism’s problem begins when our knowledge of the world becomes search for the deep: the sorrow and the joy are the same moments of life, lived in a mirror in which to dwell. The kintsugi art is care and meditation about joy and sadness, about the past time and present moment where life and death have a common point that introduces us to the mystery of our beginning.

This article explores the effectiveness of a newly-launched, technology-rich approach in the classes of a less commonly taught language, Turkish; it is one of the rare studies on the proficiency level of students of Turkish as a foreign language, and it provides valuable feedback on new ways of teaching and learning a second language that might help the development of future strategies in the field. Both proficiency and course evaluation significantly improved with the new, deeper approach compared to control groups. The study is a unique contribution and a real opening to approaches in which students are placed as curriculum builders and the language instructor plays a role of facilitator in the management of rich online resources, blending face-to-face interactions and learning support with online activities.

Molybdenum cofactor (MC) deficiency is defined as a progressive neurodegenerative and neurometabolic disease, characterized by convulsions, severe mental and motor retardation resistant to the treatment. Patients with MC deficiency usually need at least sedation for even minor interventions such as dental examination or treatment. Sedation or general anesthesia for these patients may be complicated due to accompanying disorders. However, we were unable to find any reports on anesthetic management of patients with MC deficiency in the literature. In this article, we intend to share our experience of a patient with MC deficiency, who had undergone dental treatment under deep sedation.

Seiche waves in a small glass tank partly filled with water were filmed with a digital video camera. The video clips were analyzed with Logger Pro to determine the period of the oscillations at different water depths. The calculated velocity of surface gravity waves in the region of transition between the deep and shallow water approximations was found to agree with theoretical predictions.