Wrocław University of Technology

About: Wrocław University of Technology is a education organization based out in Wrocław, Poland. It is known for research contribution in the topics: Laser & Fuzzy logic. The organization has 13115 authors who have published 31279 publications receiving 338694 citations.

Direct prediction of the desalination performance of porous carbon electrodes for capacitive deionization

Abstract: Desalination by capacitive deionization (CDI) is an emerging technology for the energy- and cost-efficient removal of ions from water by electrosorption in charged porous carbon electrodes. A variety of carbon materials, including activated carbons, templated carbons, carbon aerogels, and carbon nanotubes, have been studied as electrode materials for CDI. Using carbide-derived carbons (CDCs) with precisely tailored pore size distributions (PSD) of micro- and mesopores, we studied experimentally and theoretically the effect of pore architecture on salt electrosorption capacity and salt removal rate. Of the reported CDC-materials, ordered mesoporous silicon carbide-derived carbon (OM SiC-CDC), with a bimodal distribution of pore sizes at 1 and 4 nm, shows the highest salt electrosorption capacity per unit mass, namely 15.0 mg of NaCl per 1 g of porous carbon in both electrodes at a cell voltage of 1.2 V (12.8 mg per 1 g of total electrode mass). We present a method to quantify the influence of each pore size increment on desalination performance in CDI by correlating the PSD with desalination performance. We obtain a high correlation when assuming the ion adsorption capacity to increase sharply for pore sizes below one nanometer, in line with previous observations for CDI and for electrical double layer capacitors, but in contrast to the commonly held view about CDI that mesopores are required to avoid electrical double layer overlap. To quantify the dynamics of CDI, we develop a two-dimensional porous electrode modified Donnan model. For two of the tested materials, both containing a fair degree of mesopores (while the total electrode porosity is ∼95 vol%), the model describes data for the accumulation rate of charge (current) and salt accumulation very well, and also accurately reproduces the effect of an increase in electrode thickness. However, for TiC-CDC with hardly any mesopores, and with a lower total porosity, the current is underestimated. Calculation results show that a material with higher electrode porosity is not necessarily responding faster, as more porosity also implies longer transport pathways across the electrode. Our work highlights that a direct prediction of CDI performance both for equilibrium and dynamics can be achieved based on the PSD and knowledge of the geometrical structure of the electrodes.

Remarkable potential of the α-aminophosphonate/phosphinate structural motif in medicinal chemistry.

Abstract: R-Aminophosphonic acids are broadly defined as analogues of amino acids in which the carboxylic group is replaced by a phosphonic acid or related group (usually phosphonous or phosphinic acids). This results in the presence of the characteristic N C P scaffold (Scheme 1). The biological activity and natural occurrence of these compounds (often called R-aminophosphonates) were discovered half a century ago. Since then, the chemistry and biology of this class of compounds have been developed into a distinct branch of phosphorus chemistry. It is generally acknowledged that R-aminophosphonates possess a broad capability of influencing physiologic and pathologic processes, with applications ranging from agrochemistry to medicine. In some cases, these compounds have been commercialized. A number of excellent reviews on various aspects of their activity in natural systems have been published. 12 The mode of action of aminophosphonates primarily involves the inhibition of enzymes of different class and origin. Despite its long history, this area of research remains intensively explored and frequently delivers new promising lead compounds in medicinal chemistry. The N C P molecular fragment and its chemistry offer many possibilities for structural modifications, which have resulted in broad biological relevance (Scheme 1). Often, R-aminophosphonic and phosphinic acids are considered simple analogues of their natural counterparts, carboxylic acids. Although carboxylic and phosphonic acid groups differ in shape (tetrahedral at phosphorus versus planar at carbon), acidity (with phosphonic acid being significantly more acidic), and steric bulk (the phosphorus atom has a much larger atomic radius than carbon), they frequently exhibit similar properties, with the phosphonic acid being recognized by enzymes or receptors as false substrates or inhibitors. However, the tetrahedral geometry of substituents around the phosphorus moiety causes it to resemble the high-energy transition state (TS) of ester and amide bond hydrolyses. The tetrahedral transition state is believed to be specifically stabilized in enzyme active sites, which has inspired numerous studies on their applications in regulating the activity of proteases. This approach has been most successful in the case of metalloproteases, which have an organophosphorus moiety in their active sites that facilitates the chelation of metal ions. This approach has resulted in the development of many potent inhibitors of various enzymes, such as the antihypertensive drug fosinopril, an angiotensin I converting enzyme (ACE) inhibitor. Recently, the N C P scaffold has been used to construct extended transition state analogues of amide bond synthesis or hydrolysis to find potent inhibitors of enzymes such as glutamine synthetase or urease. Reactive peptidyl phosphonate diaryl esters have been successfully used to covalently modify members of the serine hydrolase superfamily. This approach exploits their ability to phosphonylate the hydroxyl residue of the active-site serine of these enzymes. They act as competitive, irreversible inhibitors, which, after the formation of an initial enzyme substrate complex, bind to the active site via a transesterification reaction and thus block its catalytic function. The activity and selectivity of the interactions of inhibitors with target enzymes can be adjusted by structural optimization of the S1 residues and/or by the development of an extended peptide chain. Finally, aminomethylenebisphosphonic acids form a separate class of medicinally important compounds bearing the N C P skeleton. They are hydrolytically stable analogues of pyrophosphate characterized by a common P C P fragment in which a carbon phosphorus bond replaces an oxygen phosphorus bond. Their primary medical application is in combating osteoporosis. They exhibit very high affinity to bone tissue, being rapidly adsorbed at the bone surface, and they regulate the bone remodeling process. Because the action of bisphosphonates is limited to osseous tissue, they have also been used to deliver conjugated chemotherapeutic agents to bone. Likely because of their strong chelating properties, bisphosphonates also exhibit inhibitory properties toward a wide variety of metalloenzymes. In this Perspective, we present the key features of theN C P molecular fragment that govern the activity of the molecules that incorporate it. A general overview of known modes of action and target enzyme classes is briefly presented. Recent representative medicinal chemistry projects are described and discussed, including the achievements of our research group on leucine aminopeptidase and urease. Particular attention is given to the molecular aspects of the N C P mechanism of action and to the rational design of new compounds based on threedimensional structures. The potential future applications of this class of compounds are also discussed.

Towards identifying software project clusters with regard to defect prediction

Abstract: Background: This paper describes an analysis that was conducted on newly collected repository with 92 versions of 38 proprietary, open-source and academic projects. A preliminary study perfomed before showed the need for a further in-depth analysis in order to identify project clusters.Aims: The goal of this research is to perform clustering on software projects in order to identify groups of software projects with similar characteristic from the defect prediction point of view. One defect prediction model should work well for all projects that belong to such group. The existence of those groups was investigated with statistical tests and by comparing the mean value of prediction efficiency.Method: Hierarchical and k-means clustering, as well as Kohonen's neural network was used to find groups of similar projects. The obtained clusters were investigated with the discriminant analysis. For each of the identified group a statistical analysis has been conducted in order to distinguish whether this group really exists. Two defect prediction models were created for each of the identified groups. The first one was based on the projects that belong to a given group, and the second one - on all the projects. Then, both models were applied to all versions of projects from the investigated group. If the predictions from the model based on projects that belong to the identified group are significantly better than the all-projects model (the mean values were compared and statistical tests were used), we conclude that the group really exists.Results: Six different clusters were identified and the existence of two of them was statistically proven: 1) cluster proprietary B -- T=19, p=0.035, r=0.40; 2) cluster proprietary/open - t(17)=3.18, p=0.05, r=0.59. The obtained effect sizes (r) represent large effects according to Cohen's benchmark, which is a substantial finding.Conclusions: The two identified clusters were described and compared with results obtained by other researchers. The results of this work makes next step towards defining formal methods of reuse defect prediction models by identifying groups of projects within which the same defect prediction model may be used. Furthermore, a method of clustering was suggested and applied.