Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Dumas, Lloyd J., Building the Good Society. The Power and Limits of Markets, Democracy and Freedom in an Increasingly Polarized World, Emerald Publishing, 2020, xiv+228 pp., hb, ISBN 978-1-83867-632-2

A momentary synopsis of the past as well as more recent events provide countless sequences of reasons to question the ability of current social and economic framework to provide for an ideal living environment. Even though, sometimes it seems that the prominent opinion is that we must settle with present circumstances, fortunately, an increasing number of viewpoints insistently claim for finding more effective remedies and better alternatives. Cautiously avoiding utopian attitudes, Building the Good Society stands as sensible endeavour to find the optimal path toward a good society as achievable destination rather than idealistic place. However, this path is not straightforward nor undemanding, as the author masterfully sets the scene in which we are presently by choosing a highly meaningful sub-title: we are living in a progressively divided society that could only be restored to health by understanding the restraints and abilities of democracy, market and freedom. Although not clearly stated anywhere in the text, the resemblance with Galbraith’s The Affluent Society is evident enough to be more than plain coincidence. Moreover, one might further notice this similarity when it comes to writing strategy: both authors master the ability to render an efficient blend of positive and normative approaches [1]
Synthesis, Spectroscopic, Quantum Chemical, and Molecular Docking Studies of 2-Cyano-N-Cyclopropylacetamide and 2-Cyano-N-(1-Phenylethyl)Acetamide

Abstract 2-Cyano-N-cyclopropylacetamide (2CCPA) and 2-cyano-N-(1-phenylethyl) acetamide (2CPEA) compounds were synthesized and characterized by FT-IR, FT-Raman, UV-Vis, 1H NMR, and 13C NMR spectrum analyses. Density functional theory (DFT) B3LYP and HF techniques with 6-31++G(d,p) and 6-311++G(d,p) basis sets were used to determine the optimal molecular geometry, vibrational wavenumbers, infrared intensities, and Raman scattering activities. To get better results for the computed data, the vibrational wavenumbers are additionally adjusted with a scaling factor. 2CCPA and 2CPEA were investigated for their MEP, NBO analysis, NLO behavior, and thermodynamic characteristics. To determine the chemically active locations, the MEP and ELF have been illustrated. Fukui functions have shown the electrophilic and nucleophilic areas. The (GIAO) technique was used to compute the molecule 1H and 13C Nuclear Magnetic Resonance (NMR) chemical shifts. UV-Vis and HOMO-LUMO studies, which characterize charge transfer between atoms in a molecule, have been used to elucidate the electronic characteristics of 2CCPA and 2CPEA molecules. The minimal binding energy was obtained using 2D and 3D molecular docking calculations on 2CCPA and 2CPEA to examine hydrogen bond interactions. Molecular docking methods were employed with 2CCPA and 2CPEA molecules with the different protein receptors (1H23, 1QXK, 1ZXM, 3PTA, 4JS9, 2C5Y, ABW, 3RDE, 6GU7, and 6J7A) t and -o find the best of two molecules for drug identification and binding energy was found to be −5.8 and −7.5 kcal/mol. A molecular dynamics simulation was used to explore biomolecular stability.
Acceptance of 3D Printing by Occupational Therapists: An Exploratory Survey Study

Do-it-yourself (DiY) assistive technology gained attention in accessibility literature recently, especially in relation to the rise of digital fabrication technologies, such as 3D printing. Previously, small-scale studies showed that care professionals generally respond positively towards the idea of creating DiY assistive devices for their clients. However, several barriers and concerns may hinder care professionals' actual adoption of digital fabrication technologies. To better understand occupational therapists' willingness to adopt 3D printing, we have conducted an exploratory survey study (N = 119) based on the unified theory of acceptance and use of technology (UTAUT). Confirming previous studies, occupational therapists in this study showed generally positive attitudes towards adopting 3D printing technology. Factors that may affect their intentions to use 3D printing technology include expectations regarding job performance, effort, social influence, and facilitating conditions, as well as one's tendency to adopt novel technologies. Furthermore, occupational therapists will likely experience difficulties when first using 3D printing technology, despite their overall positive expectations of the ease of use. Therefore, we recommend that further research should focus on training, but especially on effective ways to support occupational therapists on the job, for instance, by facilitating collaborations with 3D printing experts.
Shape properties of the g-and-h and johnson families

A substantial part of examining the properties of a distributional family consists of considering shape properties. It is important that this examination is sufficiently thorough to enable understanding of the behaviour of the family, its comparison with others, and to assist in developing future families. The g-and-h distributions and the Johnson system are examined here in these terms
Phase‐matched three‐wave mixing in silica fiber optical waveguides

We have observed phase‐matched nonlinear mixing in a silica fiber optical waveguide using the dispersion of the guide modes to compensate for bulk dispersion. A tunable dye laser signal is mixed with a fixed‐frequency pump wave to generate output in specific waveguide modes at different frequencies. The technique is useful as a probe of waveguide properties and for the study of the nonlinearities of the medium.
A Multidisciplinary Approach Establishes a Link between Transglutaminase 2 and the Kv10.1 Voltage-Dependent K+ Channel in Breast Cancer

Simple Summary This work intends to unravel one of the roles played by transglutaminase 2 within the cell. We highlighted its physical interaction with the voltage-dependent Kv10.1 K+ channel, an important target of therapies in breast cancer. The use of transglutaminase 2 inhibitors can selectively affect the membrane current of triple-negative cells in which this channel is functional. Abstract Since the multifunctionality of transglutaminase 2 (TG2) includes extra- and intracellular functions, we investigated the effects of intracellular administration of TG2 inhibitors in three breast cancer cell lines, MDA-MB-231, MDA-MB-436 and MDA-MB-468, which are representative of different triple-negative phenotypes, using a patch-clamp technique. The first cell line has a highly voltage-dependent a membrane current, which is low in the second and almost absent in the third one. While applying a voltage protocol to responsive single cells, injection of TG2 inhibitors triggered a significant decrease of the current in MDA-MB-231 that we attributed to voltage-dependent K+ channels using the specific inhibitors 4-aminopyridine and astemizole. Since the Kv10.1 channel plays a dominant role as a marker of cell migration and survival in breast cancer, we investigated its relationship with TG2 by immunoprecipitation. Our data reveal their physical interaction affects membrane currents in MDA-MB-231 but not in the less sensitive MDA-MB-436 cells. We further correlated the efficacy of TG2 inhibition with metabolic changes in the supernatants of treated cells, resulting in increased concentration of methyl- and dimethylamines, representing possible response markers. In conclusion, our findings highlight the interference of TG2 inhibitors with the Kv10.1 channel as a potential therapeutic tool depending on the specific features of cancer cells.
Containment control of second-order discrete-time multi-agent systems with Markovian missing data

This study investigates the containment control problem of second-order discrete-time multi-agent systems with Markovian missing data in actuators and one step network-induced time delay. The process of missing data from the controller to the actuator is modelled by a homogeneous, finite-state and discrete-time Markov chain. The authors first discuss the containment control problem for the case when all the elements of the transition probability matrix are completely known, then the result is extended to a more general case with only partially known transition probabilities. The distributed control protocol with one step time delay is proposed. Based on the stochastic Lyapunov–Krasovskii functional method, sufficient conditions in terms of a set of matrix inequalities are given to guarantee that the states of all the followers asymptotically converge to the convex hull formed by the corresponding states of the leaders in mean square sense. A cone complementary linearisation algorithm is used to obtain the control gains. Finally, two numerical simulations are provided to show the effectiveness of theoretical results.
Promoting Pharmacogenomics in Africa: Perspectives From Variation in G6PD and Other Pharmacogenes

African populations harbor more genetic variation than any other biogeographical group. There is also a strong infectious— and growing noninfectious— disease burden across the continent that has seen the use of an ever- expanding array of therapeutics. The coexistence of these factors makes understanding pharmacogenomic variation in African populations an imperative for health across the continent and globally. Using G6PD and cytochrome P450 genes, we illustrate this imperative and discuss the future challenges and opportunities for African pharmacogenomics
Household debt and financial assets: evidence from Germany, Great Britain and the USA

Summary. We explore the determinants of debt, financial assets and net worth at the household level by using survey data for Germany, Great Britain and the USA. To identify which households are potentially vulnerable to adverse changes in the economic environment, we also explore the determinants of a range of measures of financial pressure: the probability that a household has negative net worth; the debt‐to‐income ratio; mortgage income gearing; the saving‐to‐income ratio. Our empirical findings suggest that the poorest and the youngest households are the most vulnerable to adverse changes in their financial circumstances.
Changes in T-Cell Subpopulations and Cytokine Levels in Patients with Treatment-Resistant Depression—A Preliminary Study

Although there is some evidence for the involvement of cytokines and T cells in the pathophysiology of treatment-resistant depression (TRD), the nature of this relationship is not entirely clear. Therefore, we compared T-cell subpopulations and serum cytokine levels in TRD patients to find relationships between their immunological profiles, clinical presentation, and episode severity. Blood samples from TRD patients (n = 20) and healthy people (n = 13) were collected and analyzed by flow cytometry. We analyzed the percentages of helper and cytotoxic T cells according to the expression of selected activation markers, including CD28, CD69, CD25, CD95, and HLA-DR. The serum levels of inflammatory cytokines IL12p70, TNF-α, IL-10, IL-6, IL-1β, and IL-8 were also determined. TRD patients had a lower percentage of CD3+CD4+CD25+ and CD3+CD8+CD95+ cells than healthy people. They also had lower serum levels of IL-12p70 and TNF-α, whereas IL-8 levels were significantly higher. Receiver operating characteristic (ROC) analysis demonstrated that serum IL-8 values above 19.55 pg/mL were associated with a 10.26 likelihood ratio of developing TRD. No connections were found between the MADRS score and immunological parameters. These results show that TRD patients have reduced percentages of T cells expressing activation antigens (CD25 and CD95) and higher serum concentrations of proinflammatory and chemotactic IL-8. These changes may indicate reduced activity of the immune system and the important role of IL-8 in maintaining chronic inflammation in the course of depression.
Bootstrapping the Local Periodogram of Locally Stationary Processes

Abstract. Locally stationary processes are non‐stationary stochastic processes the second‐order structure of which varies smoothly over time. In this paper, we develop a method to bootstrap the local periodogram of a locally stationary process. Our method generates pseudo local periodogram ordinates by combining a parametric time and non‐parametric frequency domain bootstrap approach. We first fit locally a time varying autoregressive model so as to capture the essential characteristics of the underlying process. A locally calculated non‐parametric correction in the frequency domain is then used so as to improve upon the locally parametric autoregressive fit. As an application, we investigate theoretically the asymptotic properties of the bootstrap method proposed applied to the class of local spectral means, local ratio statistics and local spectral density estimators. Some simulations demonstrate the ability of our method to give accurate estimates of the quantities of interest in finite sample situations and an application to a real‐life data‐set is presented.
Effect of Iron-Doping on the Structure and Photocatalytic Activity of TiO2 Nanoparticles

This research reports a simple, innovative, and low-cost doping method of TiO2 nanoparticles presenting the effects of calcination and the weight ratio of TiO2:FeCl3 (1:0.33–1:4.5). The photocatalytic activity of the nanomaterials was investigated by decolorizing Rhodamine B (RhB) dye in an aqueous solution. The main results showed that there is anatase-to-rutile transformation after the calcination process. The Fe-doped process modified the TiO2 spectrum and showed a connection in the Ti–O–Fe vibration. The particle size is within the nanometer range, between 20–51 nm, except for calcined TiO2. The inclusion of Fe in TiO2 decreased the band gap energy from 3.16 (reference) up to 2.06 eV (1:3). Additionally, after the calcination, there was a decrease in this value from 3.03 eV (reference) up to 1.95 eV (1:1.6). The TiO2, with a ratio of (1:1.6), showed the highest activity in the photocatalytic degradation of RhB with an efficiency of 93.8% after 3 h of irradiation.
The minimum fyee energy regularization connection: Linear-MFE

This work establishes the connection between regularization and the non-linear minimum free energy (MFE) noise suppression algorithms. It is shown that the simple regularization procedure of shifting the eigenvalues of a relevant autocorrelation matrix is equivalent to the addition of a smoothness cost penalty function into the linear prediction objective function. Regularization is therefore a linear formulation of the minimum free energy (MFE) algorithm. The linear MFE algorithms are eminently calculable in real time a8 they require a negligible in^ crease in complexityover conventional autoregressive algorithms. including fast computational versions thereof.
An algorithm for the disjunctively constrained knapsack problem

This paper proposes an adaptation of the scatter search (SS) meta-heuristic for approximately solving the disjunctively constrained knapsack problem (DCKP). The DCKP can be viewed as a variant of the standard knapsack problem with special disjunctive constraints. Two versions of SS are presented which are organised following the usual structure of SS. The method is analysed computationally on a set of problem instances of the literature and compared to the results provided by the Cplex solver and other algorithms of the literature. For these instances, most of which cannot be solved to proven optimality in a reasonable time, the proposed method provides results of high quality within reasonable computational time.
Room-temperature, mid-infrared (λ=4.7 μm) electroluminescence from single-stage intersubband GaAs-based edge emitters

GaAs-based, single-stage, intersubband devices with active regions composed of deep quantum wells (i.e., In0.3Ga0.7As) and high AlGaAs barriers display strong room-temperature emission at λ=4. 7μm. The structures are grown by metalorganic chemical vapor deposition. The large energy barriers (∼360meV) for electrons in the upper energy level of the active region strongly suppress both the carrier leakage as well as the tunneling escape rate out of the wells. As a result, the ratio of emissions at 80 and 300K is as low as 2.0, and thus there is considerably less need for a Bragg mirror/transmitter-type region. Devices with virtually 100% tunneling injection efficiency have been realized, and their room-temperature spectra are narrow: 25meV full width at half maximum. These deep-well, single-stage structures are intended for use as the emitting units in two-dimensional, intersubband quantum-box lasers, or as the stages of quantum-cascade lasers for efficient, room-temperature operation in the 3–5-μm wavelength.
Artificial intelligence garbage sorting vehicle based on deepstream

: In this paper, an intelligent garbage sorting vehicle based on the upper computer jetson nano and STM32 is designed. The upper computer jetson nano collects images of garbage objects through a usb camera, and the collected data is applied to the deep learning algorithm YOLO model to complete the garbage identification and classification function, and the radar is used to locate and avoid obstacles. Through the communication between the upper computer and the lower computer STM32, the trolley is driven to the specified position, and the garbage is sorted to the corresponding trash can by the mechanical arm. STM32 with the Internet of things function, can display the quantity and type of each garbage on the mobile app, so that the administrator can timely operation and maintenance. In this paper, the hardware and software design and joint debugging of the above system are completed from the reality.
Vitamin D Deficiency in Both Oral and Systemic Manifestations in SARS-CoV-2 Infection: Updated Review

The specialized literature emphasizes the fact that vitamin D has a potentially beneficial effect in the context of the current COVID-19 pandemic. The purpose of this article is to highlight the role of vitamin D, both prophylactic and curative, in the treatment of patients diagnosed with COVID-19. Even though its relevance is still unknown and causes various controversies, there is currently no specific treatment for patients diagnosed with COVID-19. There are various prevention strategies with new vaccination schedules, but additional randomized and clinical trials are still needed to combat this pandemic. In addition to the systemic manifestations of SARS-CoV-2 infection, oral manifestations of this disease have also been described in the literature. The etiology of oral manifestations associated with COVID-19 infection and vitamin D deficiency remains controversial. In the present studies, oral manifestations such as salivary gland infections, aphthae, erythema, gingivitis, ulcers, etc. have been reported. This is a new topic, and the prevalence of manifestations is described in only a few studies, which is inconsistent with the number of COVID-19 cases reported since the beginning of the pandemic. The clinical symptomatology in patients with current COVID-19 infection is polymorphic. Whether the oral manifestation is directly caused by SARS-CoV-2 or a secondary manifestation remains an important topic to analyze and discuss.
An Immunoinformatics Approach to Design a Potent Multi-Epitope Vaccine against Asia-1 Genotype of Crimean–Congo Haemorrhagic Fever Virus Using the Structural Glycoproteins as a Target

Crimean–Congo haemorrhagic fever (CCHF), caused by Crimean–Congo haemorrhagic fever virus (CCHFV), is a disease of worldwide importance (endemic yet not limited to Asia, Middle East, and Africa) and has triggered several outbreaks amounting to a case fatality rate of 10–40% as per the World Health Organization. Genetic diversity and phylogenetic data revealed that the Asia-1 genotype of CCHFV remained dominant in Pakistan, where 688 confirmed cases were reported between the 2012–2022 period. Currently, no approved vaccine is available to tackle the viral infection. Epitope-based vaccine design has gained significant attention in recent years due to its safety, timeliness, and cost efficiency compared to conventional vaccines. In the present study, we employed a robust immunoinformatics-based approach targeting the structural glycoproteins G1 and G2 of CCHFV (Asia-1 genotype) to design a multi-epitope vaccine construct. Five B-cells and six cytotoxic T-lymphocytes (CTL) epitopes were mapped and finalized from G1 and G2 and were fused with suitable linkers (EAAAK, GGGS, AAY, and GPGPG), a PADRE sequence (13 aa), and an adjuvant (50S ribosomal protein L7/L12) to formulate a chimeric vaccine construct. The selected CTL epitopes showed high affinity and stable binding with the binding groove of common human HLA class I molecules (HLA-A*02:01 and HLA-B*44:02) and mouse major histocompatibility complex class I molecules. The chimeric vaccine was predicted to be an antigenic, non-allergenic, and soluble molecule with a suitable physicochemical profile. Molecular docking and molecular dynamics simulation indicated a stable and energetically favourable interaction between the constructed antigen and Toll-like receptors (TLR2, TLR3, and TLR4). Our results demonstrated that innate, adaptive, and humoral immune responses could be elicited upon administration of such a potent muti-epitope vaccine construct. These results could be helpful for an experimental vaccinologist to develop an effective vaccine against the Asia-1 genotype of CCHFV.
Quality of life in relation to social support and body image in women with breast cancer after mastectomy

For many years, cancer have been the 2nd leading cause of death, both men and women, in Croatia, and breast cancer is among first three cause of death from cancer in women. Disease, especially cancer, has negative and multidimensional impact on quality of life. The aim of this research was to examine the relation between perceived social support and body image with quality of life in women with breast cancer who undergone surgical treatment mastectomy. Results showed that quality of life after the mastectomy in women with breast cancer was 53.58 %SM which was below the normative range, and indicating decreased QoL. Social support proves to be strongest protective factor for the quality of life in women with breast cancer who undergone mastectomy, and longer time from diagnosis was also associated with higher quality of life. Neither women’s age, level of body image disturbance nor type of additional treatment were shown to be significant predictors of the overall QoL Assessment of quality of life and perceived social support could become a valuable indicator of the success of multidisciplinary treatment and indicate areas where the woman needs additional help and support in order to achieve better quality of life.
Ultrathin Co/Pt and Co/Pd superlattice films for MgO-based perpendicular magnetic tunnel junctions

Ultrathin [Co/Pt]n and [Co/Pd]n superlattice films consisting of 0.14–0.20-nm-thick Co and Pt(Pd) layers were deposited by sputtering. A large perpendicular magnetic anisotropy [(3–9)×106 ergs/cm3] and an ideal square out-of-plane hysteresis loop were attained even for ultrathin superlattice films with a total thickness of 1.2–2.4 nm. The films were stable against annealing up to 370 °C. MgO-based perpendicular magnetic tunnel junctions with this superlattice layer as the free layer showed a relatively high magnetoresistance ratio (62%) and an ultralow resistance-area product (3.9 Ω μm2) at room temperature. The use of these films will enable the development of gigabit-scale nonvolatile memory.