Miracle-dz/UniFAR-FTUs huggingface dataset:
Heterogeneity and Chemical Reactivity of the Remote Troposphere defined by 1 Aircraft Measurements 2

Hao Guo, Clare M. Flynn, Michael J. Prather, Sarah A. Strode, Stephen D. Steenrod, Louisa 3 Emmons, Forrest Lacey, Jean-Francois Lamarque, Arlene M. Fiore, Gus Correa, Lee T. 4 Murray, Glenn M. Wolfe, Jason M. St. Clair, Michelle Kim, John Crounse, Glenn 5 Diskin, Joshua DiGangi, Bruce C. Daube, Roisin Commane, Kathryn McKain, Jeff 6 Peischl, Thomas B. Ryerson, Chelsea Thompson, Thomas F. Hanisco, Donald Blake, 7 Nicola J. Blake, Eric C. Apel, Rebecca S. Hornbrook, James W. Elkins, Eric J. Hintsa, 8 Fred L. Moore, Steven Wofsy 9
Light-field view synthesis using convolutional block attention module

Consumer light-field (LF) cameras suffer from a low or limited resolution because of the angular-spatial trade-off. To alleviate this drawback, we propose a novel learning-based approach utilizing attention mechanism to synthesize novel views of a light-field image using a sparse set of input views (i.e., 4 corner views) from a camera array. In the proposed method, we divide the process into three stages, stereo-feature extraction, disparity estimation, and final image refinement. We use three sequential convolutional neural networks for each stage. A residual convolutional block attention module (CBAM) is employed for final adaptive image refinement. Attention modules are helpful in learning and focusing more on the important features of the image and are thus sequentially applied in the channel and spatial dimensions. Experimental results show the robustness of the proposed method. Our proposed network outperforms the state-of-the-art learning-based light-field view synthesis methods on two challenging real-world datasets by 0.5 dB on average. Furthermore, we provide an ablation study to substantiate our findings.
Immersive CAD

This paper documents development of a capability for performing shape-changing editing operations on solid model representations in an immersive environment. The capability includes part-and assembly-level operations, with pmt modeling supporting topology-invtiant and topology-changing modifications. A discussion of vacious design considerations in developing an immersive capability is included, along with discussion of a prototype implementation we have developed and explored. The project investigated approaches to providing both topology-invariant and topology-changing editing. A prototype environment was developed to test the approaches and determine the usefulness of imrnersive editing. The prototype showed exciting potential in redefining the CAD interface. It is fun to use. Editing is much faster and friendlier than traditional feature-based CAD software. The prototype algorithms did not reliably provide a sufficient frame rate for complex geometries, but has provided the necessary roadmap for development of a production capability.
Effect of NPK-fertilization on growth, chemical composition and wood specific gravity of some timber trees grown in Aswan Governorate, Egypt

The response of three timber tree species of Azadirachta indica, Khaya ivorensis and K. senegalensis (6-year- old) grown on loamy sand soil to different NPK- fertilization levels were studied during 2008 and 2009 seasons at the Tropical Farm, Levels of N, P and K in the fertilizer mixtures were variables as N 30, 45 and 60; P 20, 35 and 50; and K 20, 30 and 40 g and influ-enced the growth parameters of the tree. Chemical analysis showed that the highest foliar concentrations of P and K were obtained by fertilizing with N 45-P 35- K 30 g/tree. These amounts were divided into three equal doses added at August, September and October during both seasons. Data obtained showed that the mixture of N 45- P 20- K 40 g/tree produced the longest and thickest stems. The maximum N content in leaves was obtained by applying N 60- P 20- K 20 g/ tree. Concerning the effect of NPK- fertilization on wood specific gravity of the three woody tree species, all fertilization levels resulted in significant increase in this parameter, while the mixture of N 45- P 20 – K 40 g/ tree was more effective in re-spect of wood specific gravity.
concentrate administered for one year decreased triglycerides in simvastatin treated patients with coronary heart disease and persisting hypertriglyceridaemia

Background— Omega-3 fatty acids, such as those present in ﬁsh oil, have been reported to pro-long life in myocardial infarction survivors. These fatty acids can decrease serum triglyceride concentrations, but so far the doses used in trials examining their e V ects on coronary end points have had only minimal triglyceride lowering e V ects. Objective— To examine the triglyceride lowering e V ectiveness, safety, and tolerability of Omacor, a concentrate of omega-3, long chain, polyunsaturated fatty acids from ﬁsh oil (84% of the total as opposed to an average of 35% in ﬁsh oil) over one year in patients with established coronary heart disease (CHD) and persisting hypertriglyceridaemia, despite receiving simvastatin in doses similar to those employed in the Scandinavian simvastatin survival study. Subjects and methods— 59 patients with CHD, receiving simvastatin 10–40 mg daily with serum triglycerides > 2.3 mmol/l, were randomised to receive Omacor 2 g twice a day or placebo for 24 weeks in a double blind trial. Forty six patients accepted the o V er of active treatment for a further 24 weeks in an open phase of the trial. Results— There was a sustained signiﬁcant decrease in serum triglycerides by 20–30% (p < 0.005) and in very low density lipoprotein (VLDL) cholesterol by 30–40% (p < 0.005) in patients receiving active Omacor at three, six, and 12 months compared either to baseline or placebo. Omacor did not have any deleterious e V ect on low density or high density lipoprotein cholesterol or on biochemical and haematological safety tests. There was no adverse e V ect on glycaemic control in patients with diabetes, who showed a decrease in serum triglyceride, which was at least as great as in non-diabetic patients. One patient receiving placebo died of acute myocardial infarction. Three patients withdrew from the trial (two on placebo and one on active treatment). Omacor was generally well tolerated. Conclusion— Omacor was found to be a safe and e V ective means of lowering serum triglycerides over one year in patients with CHD and combined hyperlipidaemia, whose triglycerides remained elevated despite simvastatin treatment. ( Heart 2001; 85 :544–548)
Object of Interest-based Visual Navigation, Retrieval, and Semantic Content Identification System

This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexed with new local adapted descriptors associated to color, texture, and shape features. This local approach is an efficient way to associate the local semantic content with low-level descriptors (color, texture, shape, etc.) computed on regions selected by the user. So the user actively takes part in the indexing process (offline) and can use a selected OOI as a query for the retrieval system (online). The IMALBUM system proposes original functionalities. A visual navigation tool allows to surf in the image database when the user has no precise idea of what he is really searching for in the database. Furthermore, when an OOI is selected as a query for retrieval, a semantic content identification tool indicates to the user the probable class of this unknown object. The performance of these different tools are evaluated on different databases.
A Mining Maximal Generalized Frequent Geographic Patterns With Knowledge Constraints

In frequent geographic pattern mining a large amount of patterns is well known a priori. This paper presents a novel approach for mining frequent geographic patterns without associations that are previously known as non-interesting. Geographic dependences are eliminated during the frequent set generation using prior knowledge. After the dependence elimination maximal generalized frequent sets are computed to remove redundant frequent sets. Experimental results show a significant reduction of both the number of frequent sets and the computational time for mining maximal frequent geographic patterns.
Sistemas de culturas sob diferentes manejos por longa duração alteram as formas de fósforo do solo

The thesis objective was to evaluate the forms of accumulation and release of phosphorus from cover crops waste under long time of different soil management systems and its relationship with the soil phosphorus forms. The experiment was established in 1986 on an Oxisol in the IAPAR experimental station in Pato Branco, Parana State, Brazil. The treatments consisted of six winter cover crops (blue lupine, vetch, oats, radish, rye and wheat) and the winter fallow treatment, cultivated under no-tillage (NT) and conventional (CT). In September 2011 were collected soil samples (0-5 and 5-10 cm) and the shoots of winter cover crops. Confected litterbags (0.2 x 0.2 m) were collected at 7, 14, 28, 56 and 112 days after the cover crops management. In the residues collected, we assessed the accumulation of C, N, P, and held the fractionation of P. In the soil samples, we made the separation of aggregates by wet way and in the original soil and aggregates we evaluated the content of total C, N, P, the P forms, and the acid phosphatase activity. The distribution of P forms in the cover crops tissue varies among species and their accumulation was a function of nutrient soil P availability, as in NT. But for all of them, the soluble inorganic P was the principal storage form. The release of P from plant residues depends not only on its rate of decomposition, but also on the content of total and soluble P. The vetch and rye have great potential to recycle soil P, and this amount of P should be considered when prescribing phosphorus fertilization for the culture implanted in sequence. However, the long term cultivation of different winter cover crops did not affected the soil P forms in highly weathered clay soils, managed under NT and CT. On the other hand, practices that favor the accumulation of organic residues on the soil surface as the NT system, increase the acid phosphatase enzyme activity and labile organic and inorganic P forms, besides the formation of larger aggregates, which have higher levels of C, N, total P and organic labile P.
Metabolic �ux analysis of simultaneous production of vitamin B 12 and propionic acid in a coupled fermentation process by Propionibacterium freudenreichii

The metabolic processes involved in simultaneous production of vitamin B 12 and propionic acid by Propionibacterium freudenreichii are very complicated. To further investigate the regulatory mechanisms of this metabolism, a simpli�ed metabolic network was established. The effects of glucose feeding, propionic acid removal, and 5,6-dimethylbenzimidazole (DMB) addition on the metabolic �ux distribution were investigated. The results showed that synthesis of propionic acid can be increased by increasing the metabolic �ux through the oxaloacetate and methylmalonyl-CoA branches in the early and middle stages of the coupled fermentation. After DMB addition, the synthesis of vitamin B 12 was signi�cantly enhanced via increased metabolic �ux through the δ-aminolevulinate branch, which promoted the synthesis of uroporphyrinogen III, a precursor of vitamin B 12 . Therefore, the analysis of metabolic �ux at key nodes can provide theoretical guidance for the optimization of P. freudenreichii fermentation processes. In an experimental coupled fermentation process, the concentrations of vitamin B 12 and propionic acid reached 21.6 and 50.12 g/L respectively, increased by 105.71% and 73.91% compared with batch fermentation, which provides a new strategy for industrial production.
Pattern Avoidance, Statistical Mechanics and Computational Complexity

This report documents the program and the outcomes of Dagstuhl Seminar 23121 “Pattern Avoidance, Statistical Mechanics and Computational Complexity”. Seminar March 19–24, 2023 – https://www.dagstuhl. de/23121 2012 ACM Subject Classification Information systems → Data structures; Theory of computation → Formal languages and automata theory
INTRUSION DETECTION IN WIRELESS SENSOR NETWORKS USING FUZZY RELATED FEATURE SELECTION TECHNIQUE WITH OPTIMIZED CLASSIFICATION

The internet related data processing system has several kinds of threats that direct to huge damages in major loss of data in Wireless Sensor Networks. Additionally, the group of data transmission with WSNs is huge in size that will target by the group of attackers regularly. The highest amount of security will be provided for secured data transmission with WSNs. The intrusion detection should be provided for necessary element in network communication, there are several techniques have been developed for effective intrusion detection constantly. This paper proposes Fuzzy related feature selection technique with Optimized classification in spite of selecting a large amount of attack data for detection of attacks in WSNs. Fuzzy related feature selection technique is used for identifying the intrusion and monitoring the network to protect from the malicious activity and unauthorized access. The efficiency of the proposed technique is enhanced according to the utilization of data which also enhances the detection rate and minimizes the error rate.
Using Vehicle-induced DAS Signals for Near-surface Characterization with High Spatiotemporal Resolution

Vehicle-induced seismic waves, generated as vehicles traverse the ground surface, carry valuable information for imaging the underlying near-surface structure. These waves propagate diﬀerently in the subsurface depending on soil properties at various spatial locations. By leveraging wave propagation characteristics, such as surface-wave velocity and attenuation, this study presents a novel method for near-surface monitoring. Our method employs passing vehicles as active, non-dedicated seismic sources and leverages pre-existing telecommunication ﬁbers as large-scale and cost-eﬀective roadside sensors empowered by Distributed Acoustic Sensing (DAS) technology. A specialized Kalman ﬁlter algorithm is integrated for automated DAS-based traﬃc monitoring to accurately determine vehicles’ location and speed. Then, our approach uniquely leverages vehicle trajectories to isolate space-time windows containing high-quality surface waves. With known vehicle (i
Ef ﬁ cacy and follow-up of transcatheter aortic valve implantation in patients with radiation-induced aortic stenosis

Objective: To investigate transcatheter aortic valve implantation (TAVI) feasibility, effectiveness and safety in radiation-induced aortic valve stenosis cases. Methods: 198 consecutive patients referred for TAVI were prospectively enrolled. They were divided into two groups: patients with a history of chest radiation therapy with suspected radiation-induced valvular disease (RXT) and others with suspected degenerative aortic valve stenosis (NRXT). Procedural, early and mid-term clinical outcomes were compared. Results: Of the 198 patients enrolled in our study, 9.6% qualified for inclusion in the RXT group. A comparison of baseline characteristics revealed that patients with RXT were younger than patients with NRXT (68.3 vs 82.5 years; p<0.05) and exhibited a lower surgical risk score (Euroscore: 7.1% vs 21.8%; p<0.05) and a higher frequency of hostile thorax and porcelain aorta (52.6% vs 28.5%; p<0.05; 63.2% vs 10.6%; p<0.05, respectively). In both groups, the implantation success rate was high and the 30-day safety end point acceptable (RXT: 94.7% and 83.3%; NRXT: 93.9% and 75.6%, respectively). At 6 months, overall mortality was significantly lower in the RXT group (0% vs 18%; p=0.048). Conclusions: In patients suffering from radiation-induced aortic valve stenosis and contraindicated for surgery, TAVI is a promising approach, with high feasibility, acceptable risk, low mortality and high clinical effectiveness at mid-term follow-up.
Pharmacovigilance Systems and Strategies: Importance of Post-Marketing Surveillance for Ensuring Drug Safety and Patient Health in Europe, United States, and India

After a drug is granted a marketing license, its post-marketing surveillance is evaluated to ensure that it is continuously monitored for undesirable eﬀects. This monitoring is achieved through an eﬀective Pharmacovigilance system. In our review, we discuss the Pharmacovigilance systems of Europe, the United States, and India, along with several examples of eﬀective Phar-macovigilance strategies, such as the Tracleer ® Access Programme and Tracleer ® Excellence programs for Bosentan, Merck’s Worldwide Adverse Experience System, the European and United States Varicella Zoster Virus Identiﬁcation Programs for Vari-vax, the Siddha Initiative for Documentation of Drug Adverse Reaction, an android mobile app for AYUSH Pharmacovigilance, and the Global Pharmacovigilance Database by Sanoﬁ Pasteur. This report demonstrates the importance of post-marketing surveillance in detecting rare adverse experiences that may go unnoticed during clinical trials. It also emphasizes the signiﬁcance of highlighting the ﬁeld of Pharmacovigilance to improve patient safety and oﬀer them the best possible quality of life.
Análisis de la Integración y dependencia de las políticas monetarias de la Unión Europea (Analysis of Integration and Dependence of Monetary Policies in the European Union)

Spanish Abstract: En ese articulo se efectua un analisis de la integracion y dependencia de las politicas monetarias de la Union Europea y, en concreto, de las politicas monetarias de la Union Economica y Monetaria y de la zona no euro para el periodo comprendido entre Enero de 1999 y Septiembre 2009. Se aplica la metodologia de la cointegracion de Engle y Granger (1987) y de Johansen (1988) para contrastar la hipotesis de la paridad de tipos de interes no cubierta y se llega a la conclusion de que ambas politicas estan cointegradas porque mantienen una relacion de equilibrio a largo plazo. Tambien se deduce una dependencia de la politica del Banco de Inglaterra de la politica del Banco Central Europeo, lo que confirma la importancia y el liderazgo de la Union Economica y Monetaria.English Abstract: The objective of this paper is to investigate the long-run relationship and dependence between the UME's monetary policy and non-euro zone's monetary policy for the period from January 4, 1999 to September 30, 2009. We use cointegration methodology to test the Uncovered Interest Parity Hypothesis and the results indicate a long-run cointegration and empirical evidence testifies a leader-follower pattern between the two central banks. According to this pattern, the Bank of England does follow the European Central Bank.
The Current Distribution of Deformation in the Western Tien Shan from Block Models Constrained by Geodetic Data

We interpret Global Positioning System measurements of interseismic deformation throughout the western Tien Shan in the context of a block model which accounts for important geologic features (faults) and physical processes (elastic strain accumulation.) Through this analysis we are able to quantify the amount of deformation localized on active structures. In the central part of the belt the Djuarnarik fault zone appears to be the most important thrust fault, accommodating nearly five millimeters per year of north-south shortening across it. Conversely, the most widely recognized strike slip fault in the region, the Talas Ferghana, is found to have very little of the previously estimated right lateral motion.
ON INFORMATICS VISUALIZATION

— Ransomware is by no means a recent invention, having existed as far back as 1989, yet it still poses a real threat in the 21 st century. Given the increasing number of computer users in recent years, this threat will only continue to grow, affecting more victims as well as increasing the losses incurred towards the people and organizations impacted in a successful attack. In most cases, the only remaining courses of action open to victims of such attacks were the following: either pay the ransom or lose their data. One commonly shared behavior by all crypto ransomware strains is that there will be attempts to encrypt the victims’ files at a certain point during the ransomware execution. This paper demonstrates a technique that can identify when these encrypted files are being generated and is independent of the strain of the ransomware. Previous research has highlighted the difficulty in differentiating between compressed and encrypted files using Shannon entropy, as both file types exhibit similar values. Among the experiments described in this study, one showed a unique characteristic for the Shannon entropy of encrypted file header fragments, which was used to differentiate between encrypted files and other high entropy files such as archives. The Shannon entropy of encrypted file header fragments has a unique characteristic in one of the tests discussed in this study. This property was used to distinguish encrypted files from other files with high entropy, such as archives. To overcome this drawback, this study proposed an approach for test case generation by enhancing the entropy-based threat tree model, which would improve malicious file identification. The file identification was enhanced by combining three entropy algorithms, and the test case was generated based on the threat tree model. This approach was then evaluated using accuracy measurements: True Positive, True Negative, False Positive, False Negative. A promising result is expected. This method solves the challenge of leveraging file entropy to distinguish compressed and archived files from ransomware-encrypted files in a timely manner.
ENHANCING RARE DISEASE DIAGNOSIS: A WEIGHTED COSINE SIMILARITY APPROACH FOR IMPROVED K-NEAREST NEIGHBOR ALGORITHM

Diagnosing rare diseases is challenging because they affect only a restricted group of individuals, usually identified as one out of every 2,000 people within the European Union and no more than one out of 1,250 individuals in the United States. This makes it difficult for doctors to recognize the symptoms of these diseases. This paper focuses on the challenges of diagnosing rare diseases due to their low prevalence rates and difficulties in recognizing their symptoms. Machine learning techniques often face difficulties in classifying patients with rare diseases because of their small sample sizes, leading to biased results. They proposed a weighted cosine similarity approach as a distance measure for the k-nearest neighbours algorithm instead of the conventional cosine similarity to address this issue. The use of genetic optimization to select the best weights for the weighted cosine similarity. The Rare Metabolic Diseases Database was used as a case study, and the results demonstrated that reducing the classification bias between majority and minority classes improves all classification performance measures. However, as the number of classes and imbalance ratio increase, the approach's effectiveness decreases, eventually reaching zero. Future work will focus on reformulating the g-mean to smooth its values and avoid assigning a zero score when all class instances are misclassified.