Complex-valued Research Articles

Diagnostic value of tissue plasminogen activator-inhibitor complex in sepsis-induced liver injury: A single-center retrospective case-control study

BACKGROUND Sepsis often causes severe liver injury and leads to poor patient outcomes. Early detection of sepsis-induced liver injury (SILI) and early treatment are key to improving outcomes. AIM To investigate the clinical characteristics of SILI patients and analyze the associated risk factors, to identify potential sensitive biomarkers. METHODS Retrospective analysis of clinical data from 546 patients with sepsis treated in the intensive care unit of the 908th Hospital of Chinese People’s Liberation Army Joint Logistic Support Force between May 2018 and December 2022. The patients were divided into the sepsis group (n = 373) and SILI group (n = 173) based on the presence of acute liver injury within 2 hours of admission. We used the random forest algorithm to analyze risk factors and assessed potential diagnostic markers of SILI using the area under the receiver operating characteristic curve, Kaplan-Meier survival curves, subgroup analysis and correlation analysis. RESULTS Compared with the sepsis group, tissue plasminogen activator-inhibitor complex (t-PAIC) levels in serum were significantly higher in the SILI group (P < 0.05). Random forest results showed that t-PAIC was an independent risk factor for SILI, with an area under the receiver operating characteristic curve of 0.862 (95% confidence interval: 0.832-0.892). Based on the optimal cut-off value of 11.9 ng/mL, patients at or above this threshold had significantly higher levels of lactate and Acute Physiology and Chronic Health Evaluation II score. The survival rate of these patients was also significantly worse (hazard ratio = 2.2, 95% confidence interval: 1.584-3.119, P < 0.001). Spearman’s correlation coefficients were 0.42 between t-PAIC and lactate, and 0.41 between t-PAIC and aspartate transaminase. Subgroup analysis showed significant differences in t-PAIC levels between patients with different severity of liver dysfunction. CONCLUSION T-PAIC can serve as a diagnostic indicator for SILI, with its elevation correlated with the severity of SILI.

Riddelline from Tamarix articulate as a potential anti-bacterial lead compound for novel antibiotics discovery: A comprehensive computational and toxicological studies.

Tamarix articulate from the Tamaricaece family is a halophytic plant. This plant is commonly called Athal or Tamarix in different Arabic and Asian countries. Due to the high load of polyphenolic phytochemicals, the plant has been used as a therapeutic option against several diseases for decades. The plant is an anti-inflammatory, anti-bacterial, anti-viral, anti-cancer, anti-oxidant, and anti-inflammatory. In this work, the 222 phytochemical compounds of T. articulate from our previous study are used in different bioinformatic and biophysics techniques to explore their biological potency against different anti-bacterial, anti-cancer and anti-viral targets. By doing so, it was found that Riddelline ranked as the best binding molecule of biological macromolecules selected herein in particular the bacterial targets. The binding energy value of the compound for the KdsA enzyme was -14.64 kcal/mol, KdsB (-13.09 kcal/mol), MurC (-13.67 kcal/mol), MurD (-13.54 kcal/mol), MurF (-14.20 kcal/mol), Polo-like kinase 1 (Plk1) (-12.34 kcal/mol), Bcl-2 protein (-13.39 kcal/mol), SARS-CoV-2 main protease enzyme (-12.67 kcal/mol), and Human T cell leukemia virus protease (-13.67 kcal/mol). The mean Rg value of KdsA-Riddelline complex and KdsA-FPE complex is 32.67 Å, and average RMSD of KdsA-Riddelline complex and KdsA-FPE complex is 2.31 Å, respectively. The binding energy complexes was found to be dominated by van der Waals (-71.98 kcal/mol for KdsA-Riddelline complex and -65.09 kcal/mol for KdsA-FPE complex). The lead compound was also unveiled to show favorable druglike properties and pharmacokinetics. Together, the data suggest the good anti-bacterial activities of the T. articulate phytochemicals and thus can be subjected to experimental in vitro and in vivo investigations.

Formation of cascaded Gordon–Mills–Welch sequences for digital information transmission systems

Based on the modification of the algorithm for determining the decimation index vector, which is the main component of the Gordon—Mills—Welch sequence (GMWS) synthesis method, an algorithm for determining the decimation index vector A(l, m, n, r1, r2) for the synthesis of cascaded GMWS (CGMWS) with a period N = 2S — 1 = 2lmn — 1 (l 2) in the GF[((2l)m)n] field by summing the sequences formed on the basis of decimation according to the obtained indices of the symbols of the basic M-sequence (MS). The modification of the algorithm consists in combining the vectors of the decimation indices for various combinations of the parameters r1 and r2 in the expression for the resulting vector. The results of calculating the maximum values of the equivalent linear complexity (ELC) of cascaded LCGMWS and conventional LGMWS GMWSs for periods 212–1 ≤ N ≤ 236–1 are presented. It is shown that the ELC of cascaded exceeds the ELC of conventional GMWSs, with an increase in the period the gain BS = LCGMWS/LGMWS increases, and for the period N = 236–1 it is equal to BS=36 = 2.25.

Spatial Transformation of the Higher Education System: Threats and Challenges to Single-Industry Towns

The article proposes an approach to analyzing the spatial organization of the Russian higher education system. Methodologically, the study relies on the theory of structural functionalism. In order to solve the stated research problems, the authors used comparative historical and economic-statistical analyses, as well as the quick survey method. The study characterizes the specifics of the Russian system of single-industry towns and justifies the role of a single-industry town as an integral and essential element of the settlement system. The study also reveals structural and functional changes inthe Russian system of higher education that significantly limit the possibility of preserving universities and/or their branches in single-industry towns. It was proved that the functions of higher education institutions in a single-industry town are multifaceted, complex in nature, and not limited only to the sphere of education. In spite of this, the higher education system in single-industry towns downsizes at a significantly faster rate than in the country as a whole. The performed analysis shows that the persisting trend toward increasing territorial concentration in the country’s system of higher education can create a set of negative effects that have a disruptive impact on the national settlement system, the continuity of complex value chains, and the social stability of local communities in single-industry towns. A conclusion is made about the need for comprehensive solutions regarding the development of higher education in single-industry towns that combine both national mechanisms for achieving national goals and the toolkits of regional, industrial, educational, and corporate policies.

Novel 5-Fluorouracil analogues versus perfluorophenyl ureas as potent anti-breast cancer agents: Design, robust synthesis, in vitro, molecular docking, pharmacokinetics ADMET analysis and dynamic simulations

To investigate the therapeutic potential of 5-Fluorouracil-based analogues, a straightforward synthetic technique was employed to synthesize a novel series of 5-arylurea uracil derivatives (AUFU01-03) and aryl-urea derivatives bearing perfluorophenyl (AUPF01-03). Reliable tools such as infrared (IR), Nuclear Magnetic Resonance (NMR) spectra, and elemental analyses were utilized to confirm the chemical structures and purity of these compounds. In comparison to healthy noncancerous control skin fibroblast cells (BJ-1), we examined the antiproliferative efficacy of compounds (AUFU01-03) and (AUPF01-03) against specific human malignant cell lines of the breast (MCF-7), and colon (HCT-116). Based on the MTT experiment results, compounds AUFU03 and AUPF01-03 possessed highly cytotoxic effects. Among these, cytotoxicity was demonstrated by compounds AUPF01-03 with IC50 values (AUPF01, IC50 = 167 ± 0.57 µM, AUPF02, IC50 = 23.4 ± 0.68 µM and AUPF03, IC50 = 28.8 ± 1.13 µM, respectively, on MCF-7), relative to 5-Fluorouracil as reference drug (IC50 = 160.7 ± 0.22 µM). Compound AUPF01 showed safety on BJ-1 cells up to a concentration of 100 µM (% cytotoxicity = 3.9 ± 0.42 %), so AUPF01 was selected for further studies. At the gene, the expression levels of BCL-2 gene were decreased significantly in MCF-7 + 5-FU and reached the lowest level in MCF-7 + AUPF01. In contrast, the expression levels of pro-apoptotic genes (p53 and BAX) were increased in MCF-7 + 5-FU, and reached a significantly higher level in MCF-7 + AUPF01. Apoptosis/necrosis assays demonstrated that AUPF01 induced S and G2/M phase cell cycle arrest in MCF-7 cells. Moreover, the efficacy of these compounds against anti-cancer protein receptors was assessed using molecular docking. The results indicated that compound AUPF01 exhibited high binding energies, effectively interacting with the active sites of crucial proteins such as EGFR, CDK2, ERalfa, BAX1, BCL2, and P53. These interactions involved a diverse range of chemical bonding types, suggesting the potential of these substances to inhibit enzyme activities. Moreover, computational ADMET analyses of these compounds demonstrated compliance with Lipinski’s criteria, indicating favorable physicochemical properties. Additionally, molecular dynamics (MD) simulations revealed stable complexes of AUPF01 with EGFR, CDK2, ERalfa, BAX1, BCL2, and P53, as evidenced by (RMSD) values, RMSF values, and (SASA) values for the respective complexes.

On the Generalized Weighted Statistical Convergence

Statistical convergence and summability represent a significant generalization of traditional convergence for sequences of real or complex values, allowing for a broader interpretation of convergence phenomena. This concept has been extensively examined by numerous researchers using various mathematical tools and applied to different mathematical structures over time, revealing its relevance across multiple disciplines. In the present study, a generalized definition of the concepts of statistical convergence and summability, termed (△_v^m )_u-generalized weighted statistical convergence and (△_v^m )_u-generalized weighted by [¯N_t ]-summability for real sequences, is introduced using the weighted density and generalized difference operator. Based on this definition, several fundamental properties and inclusion results, obtained by differentiating the components used in the definitions, are provided.

Tooth eruption status and bite force determine dental microwear texture gradients in albino rats (Rattus norvegicus forma domestica).

Dental microwear texture analysis (DMTA) is widely applied for inferring diet in vertebrates. Besides diet and ingesta properties, factors like wear stage and bite force may affect microwear formation, potentially leading to tooth position-specific microwear patterns. We investigated DMTA consistency along the upper cheek tooth row in young adult female rats at different growth stages, but with erupted adult dentitions. Bite forces for each molar (M) position were determined using muscle cross-sectional areas and lever arm mechanics. Rats were categorized into three size classes based on increasing skull length. Maximum bite force increased with size, while across all size classes, M3 bite force was almost 1.4 times higher than M1 bite force. In size class 1, M1 and M2 showed higher values than M3 for DMTA complexity, height, and volume parameters, while in size class 3, M1 had the lowest values. Comparing the same tooth position between size classes revealed opposing trends: M1 and M2 showed, for most parameters, decreasing roughness and complexity from size class 1-3, while M3 displayed the opposite trend, with size class 1 showing lowest, and either size class 2 or 3 the highest roughness and complexity values. This suggests that as rats age and M3 fully occludes, it becomes more utilized during mastication. DMTA, being a short-term diet proxy, is influenced by eruption and occlusion status changes. Our findings emphasize the importance of bite force and ontogenetic stage when interpreting microwear patterns and advise to select teeth in full occlusion for diet reconstruction.

Research on convolutional neural network to realize high-quality dynamic holographic display

There are still some challenges in the computation speed and reproduction quality of holographic display. In this paper, a method is proposed to realize a high-quality 3D holographic display by using a complex value convolutional neural network. Firstly, the layer-based method is used to cut and layer the object. The amplitude and phase of each layer of the object are calculated by a complex value network at the same time. Then, the output of the complex value type of the network is converted into a phase-only hologram, and each layer of the hologram is superimposed to reproduce the complete 3D object. In addition, a novel color convolutional neural network is used to generate R, G and B three-color holograms simultaneously, reducing the time required for three-channel recalculation of holograms. The proposed method only takes 16 ms to generate a hologram from single-layer object, the average peak signal-to-noise ratio of the reconstructed image is 28 dB, and the structural similarity exceeds 0.99, which realizes a high-quality dynamic holographic display. The experimental results confirm the feasibility of the proposed method and provide a new method for real-time holographic display of 3D object.

Data model to enable multidimensional process mining for data farming based value stream planning in production networks

AbstractInternational industrial companies operate complex value streams within production networks. Therefore, strategic network design aims to identify an efficient value stream from several value stream scenarios. For this purpose, Value Stream Mapping (VSM) is a well-established methodology from Lean Management. However, the complexity and variety of value streams in production networks can lead to high manual effort when using pen-and-paper-based VSM. Therefore, data-driven VSM based on process mining has to be applied. To create a comprehensive data-driven VSM, it is necessary to transparently understand the correlations between different dimensions, such as the material flow, the information flow, and the inventory, which requires a multidimensional process mining approach. Simulation experiments can generate the necessary data for each value stream scenario using a data farming based planning approach to conduct a data-driven VSM in strategic network design. However, no data model currently supports storing comprehensive datasets for multiple scenarios to enable multidimensional process mining. To overcome this shortcoming, this article presents a data model for applying multidimensional process mining that is scalable to multiple dimensions and scenarios. The data model is constructed based on the theoretical principles of data cubes and multidimensional process mining. The applicability is demonstrated by a case study of a production network from the automotive industry.

‘Rhythmite’, Ca29(SiO4)8Cl26, an Anthropogenic Phase from the Chelyabinsk Coal Basin (Ural, Russia) with a Complex Modular Structure Related to α-Ca3SiO4Cl2 (‘Albovite’): Crystal Structure, Raman Spectra, and Thermal Expansion

‘Rhythmite’, Ca29(SiO4)8Cl26, an anthropogenic calcium chloride silicate from the Chelyabinsk coal basin (South Ural, Russia), was investigated using chemical microprobe analysis, in situ single-crystal X-ray diffraction analysis (27–727 °C), and Raman spectroscopy. ‘Rhythmite’ is orthorhombic, Pnma: a = 17.0749(6), b = 15.1029(5), c = 13.2907(4) Å, and V = 3427.42(18) Å3 (R1 = 0.045). The crystal structure of ‘rhythmite’ consists of a porous framework formed by Ca-O bonds and SiO4 tetrahedra with additional Ca2+ cations and Cl− anions in the structure interstices. The framework is built up from multinuclear [Ca15(SiO4)4]14+ fundamental building blocks (FBBs) cut from the crystal structure of α-Ca3SiO4Cl2 (‘albovite’). The FBBs are linked by sharing common Ca atoms to form a network with an overall pcu topology. The empirical chemical formula was calculated as Ca29.02(Si7.89Al0.05P0.05)Ʃ7.99O32Cl26 (on the basis of Cl + O = 58). ‘Rhythmite’ is stable up to 627 °C and expands slightly anisotropically (αmax/αmin = 1.40) in the ab and bc planes and almost isotropically in the ac plane (α33/α11 = 1.02) with the following thermal expansion coefficients (×106 °C−1): α11 = 14.6(1), α22 = 20.5(4), α33 = 15.0(3), and αV = 50.1(6) (room temperature). During expansion, the silicate tetrahedra remain relatively rigid with average bond length changes of less than 0.5%. A structural complexity analysis indicates that ‘rhythmite’ is complex, with IG,total = 920.313 (bits/u.c.), which significantly exceeds the average value of structural complexity for silicates and is caused by the modular framework construction and the presence of a large number of independent positions in the crystal structure.

Snapshotting quantum dynamics at multiple time points

Measurement-induced state disturbance is a major challenge in obtaining quantum statistics at multiple time points. We propose a method to extract dynamic information from a quantum system at intermediate time points, namely snapshotting quantum dynamics. To this end, we apply classical post-processing after performing the ancilla-assisted measurements to cancel out the impact of the measurements at each time point. Based on this, we reconstruct a multi-time quasi-probability distribution (QPD) that correctly recovers the probability distributions at the respective time points. Our approach can also be applied to simultaneously extract exponentially many correlation functions with various time-orderings. We provide a proof-of-principle experimental demonstration of the proposed protocol using a dual-species trapped-ion system by employing 171Yb+ and 138Ba+ ions as the system and the ancilla, respectively. Multi-time measurements are performed by repeated initialization and detection of the ancilla state without directly measuring the system state. The two- and three-time QPDs and correlation functions are reconstructed reliably from the experiment, negativity and complex values in the QPDs clearly indicate a contribution of the quantum coherence throughout dynamics.

Ecosystem service assessment of coyote stories reveals tradeoffs from human–coyote interactions in rural Vermont, United States

AbstractThe ecosystem system services framework has potential to help clarify wildlife management challenges at the single species scale, but existing methods struggle to capture the complex values and tradeoffs at play in human–wildlife interactions. We worked with community scientists to gather and use stories (n = 150) as a source of ecosystem services data about living alongside eastern coyotes (Canis latrans var) in rural Vermont, United States. Our a priori ecosystem service assessment showed that human–coyote interactions can have simultaneous positive and negative human well‐being impacts at both the sample scale and for individual interviewees. Our research identified emergent themes that lent insight into how interviewees justified different kinds of relationships with coyotes. We applied a tradeoffs lens to evaluate three policy options based on their potential to mitigate ecosystem disservices and maximize ecosystem services from human–coyote interactions. We found that ecosystem services assessment rooted in a dataset of stories revealed policy‐relevant understanding of value conflicts and alignments at the sample scale without overshadowing the nuances of individual interviewees' experiences.

Developmental characteristics of vertical natural fracture in low-permeability oil sandstones and its influence on hydraulic fracture propagation

Vertical natural fractures (NFs) are prevalent in low-permeability sandstone reservoirs. Presently, the impact of NFs on the extension of hydraulic fractures (HFs) remains partially unveiled, which restricts the scientific development of strategies for low-permeability, fractured oil sandstones. In this study, taking the oil sandstone of the He-3 Member, Hetaoyuan Formation, southeastern Biyang Depression as an example, we conducted a comprehensive investigation into the factors influencing vertical fracture development and the interaction between natural and hydraulic fractures. The cohesive unit simulations indicate that geostress is the principal factor influencing HF expansion, more so than NFs, with this influence intensifying as natural fracture density increases. As natural fracture density grows, the potential for two sets of conjugate natural fractures to form short HFs arises, which are limited in expansion scope, suggesting a need to reduce well spacing accordingly. Conversely, areas with a single set of NFs are more prone to developing longer HFs, warranting an increase in well spacing to avoid water channeling. High natural fracture densities may constrain the effectiveness of HFs. In fractured reservoirs with a 10 MPa horizontal stress difference, the length of HFs is 1.52 times that of HFs with 0 MPa and 5 MPa differences. However, the hydraulic fracture effectiveness index (FE) of the latter is 1.74 times higher than the former. For fractured reservoirs, the expansion capacity of HF length within a 5 MPa horizontal stress difference remains relatively stable; beyond this threshold, the expansion capacity increases with the growing horizontal stress difference, and the fracturing effect eventually deteriorates. Furthermore, as the strength of NFs escalates, the length and modified area of HFs initially decrease significantly before stabilizing. The complexity and FE value of HFs formed under strong natural fracture conditions are heightened, indicating a more effective fracturing outcome.

Classification of histological subtypes of non-small cell lung cancer using computerized tomography texture analysis

Objective: This study aimed to differentiate between the two main histological subtypes of non-small cell lung cancer using a non-invasive technique, computerized tomography texture analysis. Method: We included 53 patients. All patients were histopathologically proven non-small cell lung cancer cases. All patients underwent thorax CT scans. In CT images, the differences present in the texture features of adenocarcinoma and squamous cell carcinoma, which are the two main histological subtypes of non-small cell lung cancer, were determined by the consensus of two radiologists for computerized tomography-based texture analysis. Results: A total of 44 texture features were extracted, including 12 first-order features and 32 second-order features derived from gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), neighborhood gray-level different matrix (NGLDM), and gray-level zone length matrix (GLZLM) features in 51 CT images. None of the evaluated texture parameters were statistically significant. However, in patients with squamous cell lung cancer, the values of Intensity Histogram, NGTDM Complexity, and Intensity Based Robust Mean Absolute Deviation higher from adenocarcinoma patients and had the highest area under the curve in roc analyses (0.727, 0.664, 0.666 respectively) Conclusion: Intensity Histogram, NGTDM Complexity, and Intensity Based Robust Mean Absolute Deviation features can be used to differentiate between the subtypes of non-small cell lung cancer, adenocarcinoma and squamous cell carcinoma. These features were highly associated with the high intratumoral heterogeneity of squamous cell lung cancer.

Binary amplitude holograms for shaping complex light fields with digital micromirror devices

Abstract Digital micromirror devices are a popular type of spatial light modulators for wavefront shaping applications. While they offer several advantages when compared to liquid crystal modulators, such as polarization insensitivity and rapid-switching, they only provide a binary amplitude modulation. Despite this restriction, it is possible to use binary holograms to modulate both the amplitude and phase of the incoming light, thus allowing the creation of complex light fields. Here, a didactic exploration of various types of binary holograms is presented. A particular emphasis is placed on the fact that the finite number of pixels coupled with the binary modulation limits the number of complex values that can be encoded into the holograms. This entails an inevitable trade-off between the number of complex values that can be modulated with the hologram and the number of independent degrees of freedom available to shape light, both of which impact the quality of the shaped field. Nonetheless, it is shown that by appropriately choosing the type of hologram and its parameters, it is possible to find a suitable compromise that allows shaping a wide range of complex fields with high accuracy. In particular, it is shown that choosing the appropriate alignment between the hologram and the micromirror array allows for maximizing the number of complex values. Likewise, the implications of the type of hologram and its parameters on the diffraction efficiency are also considered.

Some Coefficient Problems for Subclasses of Holomorphic Functions in Complex Order Associating Sălăgeăn q-Differential Operator

A function with complex values and at every point of the specific domain contains a derivative is commonly known as analytic functions which is also referred as holomorphic functions. We begin by interpreting \(A\) as the class for all holomorphic functions \(L(\xi)\) with a Taylor series expansion written in the form: \[L(\xi) = \xi + \sum_{i=2}^{\infty} x_i \xi^i\] where \(x_i \in \mathbb{C}\) and \(\xi \in D\). \(D\) is the open unit disk where \(D = \{\xi : \xi \in \mathbb{C}, |\xi| < 1 \}\). Furthermore, we suggest the subclass of \(A\) that is univalent in \(D\) represented as \(S\). It is commonly known that the main subclasses of class \(S\) are the class of starlike functions and the class of convex functions. To develop and analyze the Fekete-Szegö problems, the theory of geometric function contributes significantly to this. Moreover, the frequent use of \(q\)-calculus as a general direction of research among mathematicians has caught our attention. In this research, we attained the initial coefficients, \(x_2\) and \(x_3\), and the upper bound for the functional \(|x_3 - \nu x_2^2|\) of functions \(L\) in the two new subclasses that are introduced by involving the Sălăgeăn \(q\)-differential operator, \(M_q^\eta L(\xi)\) and the definition of subordination.

Changes in the biological and nutritional value of pea and bean grains as a result of their bioactivation

The relevance of the study is due to the need to improve the technology for processing peas and beans of domestic selection into plant-based drinks and their use in technologies for alternative products of complex raw materials for healthy, functional and specialized nutrition of various population groups. The purpose of the work is to study the influence of the developed technological modes of bioactivation on the nutritional and biological value, functional and technological properties of the protein-carbohydrate complex of pea and bean grains. The work examines the results of studies of changes occurring in pea grains bred at the Bashkir Research Institute of Agriculture and beans bred at the Omsk State Agrarian University during their bioactivation using the Smart Sprouter "Rosinka" installation, in particular the biochemical composition and inhibitory activity of grain of the studied varieties, a protein complex and amino acid composition, protein digestibility in vitro, functional and technological properties of the protein-carbohydrate complex of grain. The research has been carried out using generally accepted, modern instrumental methods for analyzing the properties of raw materials and finished products. It has been established that the use of the developed technological parameters of bioactivation leads to modification of the functional and technological properties of the structure-forming nutrients of grain, intensive accumulation of all amino acids, with the exception of threonine, make it possible to increase the protein content in pea grain by 15.32 % and beans by 14.96 %, relative to the initial values increase the degree of compliance of pea and bean grain protein with the FAO/WHO reference protein by 4.48 and 17.53 %, reduce the activity of grain protease inhibitors by 19.76 and 26.12 %, increase the digestibility of grain protein by 7.77 and 5.85 %. The research results prove the feasibility of using bioactivated pea and bean grains for the production of alternative products with a complex raw material composition, including plant-based drinks and products in the "dairy alternatives" segment.

Different ways of understanding communication: From models to a humanistic theory of communication

If the theme of social relations is often impregnated in information and communication sciences, it is generally on the front page of power. How to succeed in human relations is rather a fruitful subject in all political and social intentions. Paradoxically, what unites us divides us is communication: "We can only communicate!", a paraphrase of Watzlawick. It would be equally misleading to believe that there is a situation of uncommunication between two or more people. Is to communicate the desire to exercise an action or an action towards the other person for often interpersonal purposes. For a long time, the term "communication", borrowed from pooling, has been introduced into the vocabulary of institutions for strategic purposes, its use most often stems from an organizational approach of a marketing or even socio-economic nature. Although the authors of communication theories have succeeded each other in competition, each new schema tries to violently beat its predecessors in order to reach the highest degree of generality. The article will begin to circumscribe communication as a complex concept and fashionable value. Secondly, he will visit some research carried out by communication specialists and which has contributed to the development of models leading to what is now called " information and communication theories ". In the course of this archaeological study and in a succinct way, the article will pause on developing axioms and paradigms (context-meaning-construction-noise-feedback) consecutively from the interaction of the three components of a communication situation and in the most stripped-down way (source-message-channel-target).

DFT Study on the Second-Order NLO Responses of 2-Phenyl Benzoquinoline Ir(III) Complexes by Substituents and Redox Effects.

Metal complexes have received extensive attention in nonlinear optical (NLO) materials because of their advantages, such as shorter response times and more flexible structural properties. Density functional theory is used in investigating the geometric structures, electronic structures, charge centroid, and first hyperpolarizability (βtot) of a series of selected 15 coordinated Ir(III) complexes. The substitute effect and one-electron redox process effects on the structures and properties of 15 coordinated Ir(III) complexes are considered. When the electron-withdrawing group is introduced into the ligand, the HOMO-LUMO energy gap decreases and the βtot value increases, positively correlating with the electron-withdrawing ability. The single electron redox process can also improve the NLO responses of complexes, especially the reduction process. The βtot value of complex 4- is the largest, 2078 times higher than that of complex 4. The analysis shows that the variation of NLO responses of complexes is ascribed to the change of electronic structures and the charge transfer modes induced by the ligand modification and redox process, which are considered to be two effective methods in enhancing the NLO responses of 2-phenyl benzoquinoline Ir(III) complexes. This study aims to offer design insights into high-performance nonlinear optical materials.

Electrostatically Interacting Wannier Qubits in Curved Space

A derivation of a tight-binding model from Schrödinger formalism for various topologies of position-based semiconductor qubits is presented in the case of static and time-dependent electric fields. The simplistic tight-binding model enables the description of single-electron devices at a large integration scale. The case of two electrostatically Wannier qubits (also known as position-based qubits) in a Schrödinger model is presented with omission of spin degrees of freedom. The concept of programmable quantum matter can be implemented in the chain of coupled semiconductor quantum dots. Highly integrated and developed cryogenic CMOS nanostructures can be mapped to coupled quantum dots, the connectivity of which can be controlled by a voltage applied across the transistor gates as well as using an external magnetic field. Using the anti-correlation principle arising from the Coulomb repulsion interaction between electrons, one can implement classical and quantum inverters (Classical/Quantum Swap Gate) and many other logical gates. The anti-correlation will be weakened due to the fact that the quantumness of the physical process brings about the coexistence of correlation and anti-correlation at the same time. One of the central results presented in this work relies on the appearance of dissipation-like processes and effective potential renormalization building effective barriers in both semiconductors and in superconductors between not bended nanowire regions both in classical and in quantum regimes. The presence of non-straight wire regions is also expressed by the geometrical dissipative quantum Aharonov–Bohm effect in superconductors/semiconductors when one obtains a complex value vector potential-like field. The existence of a Coulomb interaction provides a base for the physical description of an electrostatic Q-Swap gate with any topology using open-loop nanowires, with programmable functionality. We observe strong localization of the wavepacket due to nanowire bending. Therefore, it is not always necessary to build a barrier between two nanowires to obtain two quantum dot systems. On the other hand, the results can be mapped to the problem of an electron in curved space, so they can be expressed with a programmable position-dependent metric embedded in Schrödinger’s equation. The semiconductor quantum dot system is capable of mimicking curved space, providing a bridge between fundamental and applied science in the implementation of single-electron devices.