Miracle-dz/UniFAR-FTUs huggingface dataset:
Multichannel Blind Restoration of Images with Space-Variant Degradations

In this thesis, we cover the related problems of image restoration and depth map estimation from two or more space-variantly blurred images of the same scene in situations, where the extent of blur depends on the distance of scene from camera. This includes out-of-focus blur and the blur caused by camera motion. The latter is typical when photographing in low-light conditions. Both out-of-focus blur and camera motion blur can be modeled by convolution with a spatially varying point spread function (PSF). There exist many methods for restoration with known PSF. In our case, the PSF is unknown as it depends on depth map of the scene and camera motion. Such a problem is ill-posed if only one degraded image is available. We consider multichannel case, when at least two images of the same scene are available, which gives us additional information that makes the problem tractable. The main contribution of this thesis, Algorithm I, belongs to the group of variational methods that estimate simultaneously sharp image and depth map, based on the minimization of a cost functional. Compared to other existing methods, it works for much broader class of PSFs. In case of out-of-focus blur, the algorithm is able to consider optical aberrations. As for camera motion blur, we are concerned mainly with the special case when the camera moves in one plane perpendicular to the optical axis without any rotations. In this case the algorithm needs to know neither camera motion nor camera parameters. This model can be valid in industrial applications with camera mounted on vibrating or moving devices. In addition, we discuss the possibility to extend the described algorithm to general camera motion. In this case, the knowledge of camera motion is indispensable. In practice, information about the motion could be provided by inertial sensors mounted on the camera. Besides, we present two filter-based methods for depth map estimation based on the measurement of the local level of blur. Algorithm II is a fast method working for arbitrary sufficiently symmetrical blurs using only two convolutions. Algorithm III places no constraints on the shape of PSF at the expense of higher time requirements. Finally, we propose an extension of Algorithms I and III to color images.
Impact Assessment Due to Geochemical Effects on the Quality of Groundwater along the Bay of Bengal of Visakhapatnam District, Andhra Pradesh, India

Aims: The present study was aimed at finding the geomorphological impacts on the quality groundwater quality along the Bay of Bengal of Visakhapatnam district of Andhra Pradesh, India. Study Design: Groundwater samples were collected and assessed for the identification of various geochemical impacts on the quality of groundwater along the coast. the coast of Bay of Bengal of were collected two Methodology: 24 groundwater samples of bore and open wells along the coast were systematically analyzed for their physiochemical parameters during Pre and Post Monsoon seasons. The results were interpreted for various geochemical assessments with correlative approach in order to evaluate the impacts on the groundwater quality. Results: The correlated statistical analysis revealed that there are deviations in some parameters from the prescribed WHO and ISI standards of potable water. The concentrations of some of the constituents were found relatively high in the Post Monsoon season than in the Pre Monsoon. The mechanisms controlling the groundwater chemistry were found to be attributed to the rock weathering. The geochemical evolution of the zones indicates that there was much movement in the groundwater under the influence of the local topography and thus at times favoring the development of intrusion zones along the coast. The hydro-geochemical facies with respect to the flow pattern of water indicated that the groundwater did suffer due to the impacts of the elevated as the study area is topographically a low lying area. Conclusion: It can be concluded that the groundwater along the Bay of Bengal coast of Visakhapatnam has been under sever geological and chemical impacts from the local and elevated lands. The recent geomorphological changes that took place along the coast have impacted its quality and the development of intrusion zones is evident from the assessment.
EFFECTS OF APPLYING LESS WATER BY PARTIAL ROOT ZONE DRYING VERSUS CONVENTIONAL IRRIGATION ON NAVEL ORANGE YIELD

California produces “picture perfect” navel orange fruit for the fresh fruit market on 50,339 irrigated ha. Irrigation water is a major expense. Partial root zone drying (PRD), the practice of alternately irrigating and drying the root zone on each side of the tree, was developed for year-round use to reduce water use in vine and tree fruit production. Prior California research suggested that PRD increased nutrient-use efficiency and reduced Phytophthora root-rot. For grape, benefits obtained with reduced water use were the same for PRD and conventional irrigation (CI), raising the question of whether PRD was critical to achieving water savings and yield benefits in citrus production. Our research objective was to compare effects on total yield, fruit size and quality of reducing annual water use in a commercial navel orange orchard using PRD versus CI at 25% and 40% less water (CI-RR) than the well-watered control. In Year 1, control trees were irrigated when soil moisture reached -30 cb at 30 cm; PRD and CI-RR trees were watered when soil moisture reached -60 cb. All reduced irrigation treatments reduced yield and fruit size. In Year 2, the lowest irrigation rate was 50% less water than the well-watered control, but all trees were irrigated when control tree soil moisture reached -30 cb at 30 cm. All PRD and CI-RR treatments reduced total fruit number and number of commercially valuable fruit (diameter 6.9-8.8 cm) per tree, except CI-RR-25% trees, which produced more marketable small fruit than control trees. Grower income was markedly reduced by the loss of valuable large fruit when irrigation was reduced and was not offset by the value of water saved. in emitter each side of the that the trees in PRD had an emitter on each side of the five trees within the which alternated in delivery of water to one side of the tree and then the other. One Bermad flow meter was used per treatment to control the rate of irrigation. Pressure regulators were used to an rate of delivery. The emitters were Bowsmith Fan Jets. Irrigation volumes were based on the amount of water used by the control trees over prior 3 or 4 days, respectively, calculated using California and the crop coefficient for citrus. Soil moisture content was measured at depths of 30 and 60 cm on each side of a PRD data tree in each treatment and one in the middle for each CI data tree in each treatment for five replications using Watermark Soil Moisture meters. Year 1 irrigation treatments were: (1) well-watered (based on conventional (CI); (2) 25% PRD 25% less than well-watered (3) 40% PRD 40% less water than well-watered (4) 25% CI-RR 25% less water than well-watered (5) 40% CI-RR 40% less than well-watered control. In Year 1, control trees were irrigated when soil  cb and PRD and CI-RR when  In all when but the PRD CI-RR than the well-watered
Motor transport related harmful PM2.5 and PM10: from onroad measurements to the modelling of air pollution by neural network approach on street and urban level

The level of PM10 and PM2.5 concentrations in the air on seven roads in St. Petersburg, Russia, were investigated using gravimetry and nephelometry measurement techniques in 2013-2015. The effects of meteorological conditions (temperature, relative humidity, wind direction, and speed) and the intensity of traffic flows on the results of the measurements were also evaluated. On the base of the measurements, there was developed a neural network modelling approach that allowed to quantify exhaust / non-exhaust PM10 and PM 2.5 emissions and carry out numerical investigations of air pollution by transport related PM2.5 and PM10 on street and urban level in St. Petersburg.
The Influence of Promotion, Service Quality, and Brand Image on Students' Decisions to Study Choose at Universitas Widya Husada Semarang

The company uses an integrated marketing strategy with the aim of increasing student purchasing decisions in making choices. The purpose of this study was to analyze the effect of promotion, service quality, and brand image on student decisions. This research was conducted using a survey method on 85 students at Universitas Widya Husada Semarang. Data analyzed using multiple linear regression. The results of the study found that promotion, service quality, and brand image had a positive and significant effect on student decisions.
SHALLOW MARINE SEDIMENTATION AND PHYSICAL ENVIRONMENT EVOLUTION AS A PART OF GLOBAL CHANGE:AN EXAMPLE FROM THE BOHAI, YELLOW AND EAST CHINA SEA REGIONS

Taking the Bohai, Yellow and East China Sea regions as an example, changes of the physical environment in response to river input, marine sedimentation and anthropogenic activities are reviewed. There is a trend of decrease in water and sediment discharges from the Yellow River; as a result, the Yellow River bed frequently becomes dry. The Yangtze River shows a similar trend; if this trend continues, the cutoffs of water and sediment in the Yangtze River can occur in the 22nd century. In the past, the sediment from the Yellow and Yangtze Rivers accumulated mainly near the river mouth, causing relatively large accretion rates of 10～10 2 mm/a; likewise, a part of the material was transported to seaward, resulting in the formation of shelf mud deposits and an accretion rate of the order of 1 mm/a. However, coastal accretion may be replaced by erosion in response to the decrease in river input. Over the past 7000 years, the accumulation of the river\|derived sediment has formed a variety of sedimentary systems, such as river deltas, coastal plains, tidal ridges and tidal inlets. The evolution of these systems is influenced not only by a constant regime of external forcing, but it is also affected by shift in the external forcing. Such shift results from rapid changes in the river input, global climate, sea level and the intensity of human activities. Further research into changes of the shallow marine physical environment is required for the coastal urbanization and development.
The Influence of Organizational Climate, Work Involvement, and Knowledge Sharing on Employee Performance

This study aims to determine the effect of organizational climate, work involvement, and knowledge sharing on employee performance in the Semarang Tengah District Office, Semarang City. The population used was all employees of Semarang Tengah District with a total of 95 people, with the sampling technique using the census method or saturated sample, the size of the sample used was 95 respondents. The data source used is primary data, with the data collection method using a questionnaire. The data analysis technique used is multiple linear regression analysis. The results of hypothesis testing show that organizational climate has a positive and significant effect on employee performance, work involvement has a positive and significant effect on employee performance, and knowledge sharing has a positive and significant effect on employee performance. The coefficient of determination is 0.631, meaning that organizational climate, work involvement, and knowledge sharing can explain variations in employee performance variables by 63.1 percent, so it still needs to be followed up with further research, especially related to individual aspects and organizational commitment.
Zinc Transporters Serve as Prognostic Predictors and their Expression Correlates with Immune Cell Infiltration in Specific Cancer: A Pan-cancer Analysis

The disruption of zinc (Zn) homeostasis has been implicated in cancer development and progression through various signaling pathways. Maintaining intracellular zinc balance is crucial in the context of cancer. Human cells rely on two families of transmembrane transporters, SLC30A/ZNT and SLC39A/ZIP, to coordinate zinc homeostasis. While some ZNTs and ZIPs have been linked to cancer progression, limited information is available regarding the expression patterns of zinc homeostasis-related genes and their potential roles in predicting prognosis and developing therapeutic strategies for specific cancers. In this study, a systematic analysis was conducted to examine the expression of all genes from the SLC30A and SLC39A families at both mRNA and protein levels across different cancers. As a result, three SLC39A genes (SLC39A1, SLC39A4, and SLC39A8) were found to be significantly dysregulated in specific cancers, including cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), liver hepatocellular carcinoma (LIHC), pancreatic adenocarcinoma (PAAD), and kidney renal papillary cell carcinoma (KIRP). Moreover, the dysregulation of these genes was tightly associated with the prognosis of patients with those cancers. Furthermore, we found that the gene SLC39A8 exhibited the lowest mutation frequency in KIRP, whereas mutations in SLC39A4 were found to significantly impact overall survival (OS), disease-free (DF), and progress-free survival (PFS) in cancer patients, particularly in those with PAAD. Additionally, immune infiltration analysis revealed that SLC39A1, SLC39A4, and SLC39A8 may function as immune regulators in cancers. This provides new insights into understanding the complex relationship between zinc homeostasis and cancer progression.
ARIMA-Based and Multiapplication Workload Prediction With Wavelet Decomposition and Savitzky–Golay Filter in Clouds

Current cloud data centers (CDCs) provide highly scalable, flexible, and cost-effective services to meet the performance needs of emerging applications. It is critical for CDC providers to predict future incoming workloads such that they can perform accurate resource provisioning in CDCs. Prediction accuracy is important and its improvement has been pursued in much existing work. This work adopts two different real-life Google data traces, based on which such prediction is conducted. Specifically, this work first gives a novel prediction mechanism that integrates wavelet decomposition, Savitzky–Golay (SG) filter, and autoregressive integrated moving average (ARIMA) to realize workload prediction in each time interval. The time series of the workload is smoothed with an SG filter and further divided into several components with wavelet decomposition. Then, an integrated approach is developed to predict statistical trends and their detail components. Real-life trace-driven experiments are done and the results suggest that the proposed method provides higher accuracy of prediction than its existing peers.
Population dynamics of date moth adults in date palm groves in Sidi Okbabiskra; (Sahara Algeria)

The date moth Ectomyelois ceratoniae (Zeller) (Lepidoptera: Pyralidae) can cause total production losses and is considered a key pest of date palm in Algeria. This research aimed to evaluate the adult dynamic of E. ceratoniae in date palm grove throughout one year (2016). Two high flight periods were recorded in the spring and autumn. The first adult emergence was in 6th of Feburary 2016. Also, results showed that climatic factors have a significant influence on the date moth which could only develop over a limited range of temperatures and relative humidity. Keywords : Ectomyelois ceratoniae; Population dynamics; Phoenix dactylifera; sexual pheromone traps; climatic parameters.
Estimation of Groundwater Recharges Using Empirical Formulae in Odeda Local Government Area, Ogun State, Nigeria

Estimation and forecast of groundwater recharge and capacities of aquifers are essential issues in water resource investigation. In the current research, groundwater recharge and the recharge coefficient were determined through a case study using empirical methods applicable to the tropical zones. The related climatological data between January 1983 and December 2014 were collected in Ogun-Oshun River Basin Development Authority (OORBDA), Ogun State, Nigeria. The results showed that groundwater recharge was 194.7 mm per year, evapotranspiration was 1296.2 mm per year, and the recharge coefficient was 20.2% for the study area. The result showed that about 11% of rainfall infiltrated the aquifer, 73% was loss to evapotranspiration, and 36% ended up as run-off. Correlation between climatic parameters and groundwater recharge showed the highest correlation between recharge and rainfall. Temperature, humidity, solar radiation and evapotranspiraton were at the 0.01 significance level, and the results of linear regressions proved that precipitation has a significant effect (with R 2 = 0.983) on estimated recharge.
Rich diversity and active spatial–temporal dynamics of Thalassiosira species revealed by time-series metabarcoding analysis

Abstract Thalassiosira is a species-rich genus in Bacillariophyta that not only contributes positively as primary producer, but also poses negative impacts on ecosystems by causing harmful algal blooms. Although taxonomical studies have identified a large number of Thalassiosira species, however, the composition of Thalassiosira species and their geographical distribution in marine ecosystems were not well understood due primarily to the lack of resolution of morphology-based approaches used previously in ecological expeditions. In this study, we systematically analyzed the composition and spatial–temporal dynamic distributions of Thalassiosira in the model marine ecosystem Jiaozhou Bay by applying metabarcoding analysis. Through analyzing samples collected monthly from 12 sampling sites, 14 Thalassiosira species were identified, including five species that were not previously reported in Jiaozhou Bay, demonstrating the resolution and effectiveness of metabarcoding analysis in ecological research. Many Thalassiosira species showed prominent temporal preferences in Jiaozhou Bay, with some displaying spring–winter preference represented by Thalassiosira tenera, while others displaying summer–autumn preference represented by Thalassiosira lundiana and Thalassiosira minuscula, indicating that the temperature is an important driving factor in the temporal dynamics. The application of metabarcoding analysis, equipped with appropriate molecular markers with high resolution and high specificity and databases of reference molecular marker sequences for potential all Thalassiosira species, will revolutionize ecological research of Thalassiosira species in Jiaozhou Bay and other marine ecosystems.
Can big data tame a “naughty” world?

The big data revolution is changing the way data is produced, analyzed, and valued. In the environmental sciences, big data has made it onto the agenda through calls to utilize the current data “deluge” more effectively and a desire for more complete measurement. However, a wider philosophical and ethical critique of big data is needed to assess its utility for environmental explanation. We distil three definitions relevant to the environmental sciences, focusing on the characteristics that make data “big,” the methods of analysis used, and the models of explanation favoured by big data analysts. We critically interrogate the new priorities implicit within big environmental data, and for a historical analogue we compare the big data moment in the environmental sciences to the period in the 1970s when systems theory was being invoked as a paradigmatic shift. Like systems theory, big data is poised to become the new lingua franca of many fields of scientific inquiry. Here we echo Barbara Kennedy's caution that whilst new methods of analysis seem fascinating and promissory, scientists must always be accountable to the “naughty” world in which we live, rather than the clean abstractions that we seek to generate. Les megadonnees peuvent-elles apprivoiser un monde « refractaire » ? La revolution des megadonnees est en voie de modifier la maniere dont on produit, analyse et valorise le savoir. Les sciences de l'environnement accordent aux megadonnees une attention prioritaire par la promotion d'un emploi plus efficace du « deluge » de donnees et le souhait de se doter d'une mesure plus exhaustive. C'est toutefois sur la base d'une critique philosophique et ethique elargie des megadonnees que leur utilite en matiere environnementale peut etre etablie. Trois definitions pertinentes pour les sciences de l'environnement sont elaborees a partir des elements qui distinguent les megadonnees, les methodes d'analyse utilisees et les modeles d'explication privilegies par les chercheurs qui se servent des megadonnees. Nous examinons d'un œil critique les nouvelles priorites issues des megadonnees environnementales et nous comparons, en etablissant un parallele historique, l'epoque des megadonnees dans les sciences de l'environnement a celle des annees 1970 alors qu'on alleguait que la theorie des systemes entrainait un changement paradigmatique. A l'instar de la theorie des systemes, les megadonnees sont sur le point de devenir la nouvelle langue vehiculaire de nombreux domaines d'activites scientifiques. Nous reprenons ici l'avertissement emis par Barbara Kennedy qui soulignait que bien que les nouvelles methodes d'analyse puissent paraitre fascinantes et prometteuses, cela ne dispense pas les scientifiques de toujours rendre compte du monde « refractaire » dans lequel nous vivons, plutot que des abstractions pures auxquelles nous aspirons.
Comparative assessment of three‐phase oil relative permeability models

We assess the ability of 11 models to reproduce three‐phase oil relative permeability ( kro ) laboratory data obtained in a water‐wet sandstone sample. We do so by considering model performance when (i) solely two‐phase data are employed to render predictions of kro and (ii) two and three‐phase data are jointly used for model calibration. In the latter case, a Maximum Likelihood (ML) approach is used to estimate model parameters. The tested models are selected among (i) classical models routinely employed in practical applications and implemented in commercial reservoir software and (ii) relatively recent models which are considered to allow overcoming some drawbacks of the classical formulations. Among others, the latter set of models includes the formulation recently proposed by Ranaee et al. ( ), which has been shown to embed the critical effects of hysteresis, including the reproduction of oil remobilization induced by gas injection in water‐wet media. We employ formal model discrimination criteria to rank models according to their skill to reproduce the observed data and use ML Bayesian model averaging to provide model‐averaged estimates (and associated uncertainty bounds) of kro by taking advantage of the diverse interpretive abilities of all models analyzed. The occurrence of elliptic regions is also analyzed for selected models in the framework of the classical fractional flow theory of displacement. Our study confirms that model outcomes based on channel flow theory and classical saturation‐weighted interpolation models do not generally yield accurate reproduction of kro data, especially in the regime associated with low oil saturations, where water alternating gas injection (WAG) techniques are usually employed for enhanced oil recovery. This negative feature is not observed in the model of Ranaee et al. (2015) due to its ability to embed key effects of pore‐scale phase distributions, such as hysteresis effects and cycle dependency, for modeling kro observed during WAG.