Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust partially mode‐dependent H∞ filtering for discrete‐time nonhomogeneous Markovian jump neural networks with additive gain perturbations

This paper studies the robust partially mode‐dependent H∞ filtering for nonhomogeneous Markovian jump neural networks with additive gain perturbations. The discrete time‐varying jump transition probability matrix is considered to be a polytope set. A partially mode‐dependent filter with additive gain perturbations is constructed to increase the robustness of the filter, which is subjects to H∞ performance index. Based on the Lyapunov function approach, sufficient conditions are established such that the filtering error system is robustly stochastically stable. The efficiency of the new technique is illustrated by an illustrative example and a biological network example.
A high geothermal setting in the Linyi geothermal field: Evidence from the lithospheric thermal structure

The lithospheric thermal structure has a profound indicative significance for the potential evaluation and exploration of geothermal resources. The Linyi geothermal field, located in the southern section of the Yishu fault in Shandong Province, boasts abundant geothermal resources. However, its origin is still unclear. This study analyzed the characteristics of terrestrial heat flow using the temperature logging of geothermal wells and measurements of thermal conductivity and heat production. Combined with the geophysical information of the Xiangshui (Jiangsu Province)-Mandula (Nei Mongol) geoscience transect and the lithology revealed by the geothermal wells, this study built a conceptual model of the lithospheric thermal structure using the one-dimensional steady-state heat conduction equation. Based on this model, the heat flow is 64.9 mW/m2, indicating a high geothermal setting in the study area. Furthermore, the ratio of crustal to mantle heat flow is < 1 (0.67), implying that surface heat flow originates predominantly from the mantle. The Yishu fault probably acts as a pathway for heat transfer from the mantle. The temperature of the Moho boundary in the study area was estimated to be 614.8 °C. The Curie depth was calculated to be 29.5 km (585 °C), which is consistent with the depth estimated using the aeromagnetic data. In sum, the Linyi geothermal field has a high geothermal setting, which contributes to the formation of geothermal resources.
Environment and strain energy related micromechanics analysis for properties of carbon nanotubes

In the present study, a theoretical prediction of the effect of thermal environment on elastic properties of single‐walled carbon nanotubes (SWCNTs) is reported, and a molecular structural mechanics model is proposed in which the covalent bonds are traded as a truss. The influences of the temperature and the coefficient of thermal expansion (CTE) on Young's modulus and shear modulus of both armchair and zigzag SWCNTs are investigated. When CTE is 7.1×10−6K−1 and remains constant, the surface Young's modulus and the normal Young's modulus are reduced, respectively, as compared with the normal temperature. With the change of CTE, its effect on the elastic constant is far greater than the temperature effect itself. According to the principle of elastic theory, a temperature‐dependent continuum shell model of strain energy is also established. The strain energy of single‐walled carbon nanotubes decreases with the increase of the temperature.
Organisational characteristics as antecedents of enterprise security risk management adoption in Kenya’s accredited universities

Academic institutions today are experiencing a legion of security risks that are increasingly impeding their mission of producing high-quality graduates, guarding reason and educational integrity, and ultimately advancing human civilisation. The Enterprise Security Risk Management (ESRM) model represents a potential solution to the dynamic threats that accredited universities face today. However, ESRM adoption is largely absent, slow, and inconsistent in Kenya’s accredited universities. Only a few attempts have been made to understand what drives security risk management adoption in these universities. Based on seven in-depth interviews with Chief Security Officers across larger accredited universities in Kenya and utilising an overarching innovation adoption model, we examine the organisational predictors of ESRM adoption in these universities. Within the limitations of this study, the data collected highlight the fundamental role of university executive commitment, security governance, and security risk management training in enhancing the diffusion of ESRM systems in universities. We have discussed managerial implications and suggested future research directions.
Assessment of the Tumor–Stroma Ratio and Tumor-Infiltrating Lymphocytes in Colorectal Cancer: Inter-Observer Agreement Evaluation

Background: To implement the new marker in clinical practice, reliability assessment, validation, and standardization of utilization must be applied. This study evaluated the reliability of tumor-infiltrating lymphocytes (TILs) and tumor-stroma ratio (TSR) assessment through conventional microscopy by comparing observers’ estimations. Methods: Intratumoral and tumor-front stromal TILs, and TSR, were assessed by three pathologists using 86 CRC HE slides. TSR and TILs were categorized using one and four different proposed cutoff systems, respectively, and agreement was assessed using the intraclass coefficient (ICC) and Cohen’s kappa statistics. Pairwise evaluation of agreement was performed using the Fleiss kappa statistic and the concordance rate and it was visualized by Bland–Altman plots. To investigate the association between biomarkers and patient data, Pearson’s correlation analysis was applied. Results: For the evaluation of intratumoral stromal TILs, ICC of 0.505 (95% CI: 0.35–0.64) was obtained, kappa values were in the range of 0.21 to 0.38, and concordance rates in the range of 0.61 to 0.72. For the evaluation of tumor-front TILs, ICC was 0.52 (95% CI: 0.32–0.67), the overall kappa value ranged from 0.24 to 0.30, and the concordance rate ranged from 0.66 to 0.72. For estimating the TSR, the ICC was 0.48 (95% CI: 0.35–0.60), the kappa value was 0.49 and the concordance rate was 0.76. We observed a significant correlation between tumor grade and the median of TSR (0.29 (95% CI: 0.032–0.51), p-value = 0.03). Conclusions: The agreement between pathologists in estimating these markers corresponds to poor-to-moderate agreement; implementing immune scores in daily practice requires more concentration in inter-observer agreements.
Conceptual Review on Number Theoretic Transform and Comprehensive Review on Its Implementations

The Number Theoretic Transform (NTT) is a powerful mathematical tool that has become increasingly important in developing Post Quantum Cryptography (PQC) and Homomorphic Encryption (HE). Its ability to efficiently calculate polynomial multiplication using the convolution theorem with a quasi-linear complexity $O(n \log {n})$ when implemented with Fast Fourier Transform-style algorithms has made it a key component in modern cryptography. FFT-style NTT algorithm or fast-NTT is particularly useful in lattice-based cryptography, which relies on the hardness of certain mathematical problems to ensure security. Its importance in these fields continues to grow as quantum computing technology advances and traditional encryption methods become vulnerable. In this report, we discuss the mathematical concepts of polynomial multiplications using NTT and provide a comprehensive review of the latest implementation and state-of-the-art of NTT in both PQC and HE schemes.
Familiarization with Mixed Reality for Individuals with Autism Spectrum Disorder: An Eye Tracking Study

Mixed Reality (MR) technology is experiencing significant growth in the industrial and healthcare sectors. The headset HoloLens 2 displays virtual objects (in the form of holograms) in the user’s environment in real-time. Individuals with Autism Spectrum Disorder (ASD) exhibit, according to the DSM-5, persistent deficits in communication and social interaction, as well as a different sensitivity compared to neurotypical (NT) individuals. This study aims to propose a method for familiarizing eleven individuals with severe ASD with the HoloLens 2 headset and the use of MR technology through a tutorial. The secondary objective is to obtain quantitative learning indicators in MR, such as execution speed and eye tracking (ET), by comparing individuals with ASD to neurotypical individuals. We observed that 81.81% of individuals with ASD successfully familiarized themselves with MR after several sessions. Furthermore, the visual activity of individuals with ASD did not differ from that of neurotypical individuals when they successfully familiarized themselves. This study thus offers new perspectives on skill acquisition indicators useful for supporting neurodevelopmental disorders. It contributes to a better understanding of the neural mechanisms underlying learning in MR for individuals with ASD.
Null Effects of Pro-Democracy Speeches by U.S. Republicans in the Aftermath of January 6th

How can political elites strengthen citizen commitment to democratic norms when democracy is under imminent assault? We report results from a pre-registered survey experiment on the persuasive effects of actual speeches given by prominent Republican politicians (Schwarzenegger, McConnell) shortly after the January 2020 insurrection at the U.S. capitol. Although both speeches were widely considered effective at the time, in a survey experiment among Republican voters, we find no impact of one-time exposure to these speeches on the endorsement of democracy, the acceptance of election losses, the rejection of political violence, or the relevance of democratic norms in hypothetical vote choices.
Solar Radius at Sub-Terahertz Frequencies

Abstract The visible surface of the Sun, or photosphere, is defined as the solar radius in the optical spectrum range located at 696,000 km (Cox et al. (Ed. 2015)). However, as the altitude increases, the dominant electromagnetic radiation is emitted at other frequencies. Our aim is to measure the solar radius at frequencies of 212 GHz and 405 GHz through out a solar cycle and, therefore, the altitude where these emissions are generated and that variation along the years. Also we tried to verify the the radius dependence on the solar activity cycle, which can be a good indicator of the changes that occur in the atmosphere structure. For this, we used data obtained by the Submillimetric Solar Telescope (SST) created from daily scans made by SST from 1990 to 2015. From these scans a 2D map of the solar disk was constructed. The solar radius is then determined by adjusting a circumference to the points where the brightness is half of the quiet Sun level, which is set as the most common temperature value in the solar map, i.e., the mode of the temperature distribution. Thus, we determined the solar radius at 212 and 405 GHz and the altitude of the emissions respectively. For 212 GHz, we obtained a radius of 976.5”±8” (707±4 Mm), whereas for 405 GHz, we obtained 975.0”±8” (707±5 Mm). optical spectrum range
Peer Pressure, Information Technology Adoption, and Bank Performance

Manuscript type: Research paper Research aims: The study examines cross-sectional dependence among banks to invest in information technology-related assets. We also analyse the short- and long-term impacts of information technology (IT) adoption on banks’ profitability and the variations in effects between early and late adopters. Design/Methodology/Approach: The study uses autoregressive distributed lag (ARDL) with dynamic fixed approach, standard fixed-effect ordinary least square and random effect model with double clustering regressions. Research findings: The study finds a positive effect of peer pressure on a bank’s investment in IT assets. It also documents that IT adoption reduces short-term profitability, but the joint effect of early adoption increases both short- and long-term profitability. Theoretical contribution/Originality: The study contributes to the banking and technology adoption literature by showing the evidence on a positive and significant effect of peer pressure on IT adoption. Practitioner/Policy implications: The findings are significant for the banking sector’s policy makers in emerging economies. Research limitation: The findings may not be applicable in the context of a developed economy with a strong IT infrastructure.
Predictors of COVID-19 Severity in Elderly Patients Infected by Omicron in China, 18 December 2022–5 February 2023

Purpose To analyze the clinical characteristics and prognosis of patients hospitalized with non-severe, severe pneumonia and death in Omicron COVID-19. Patients and Methods We collected clinical data from 118 patients with COVID-19 in China from 18 December, 2022 and 5 February, 2023. According to the outcome, the patients were divided into non-severe group, severe group and death group. Subsequently, we statistically analyzed the general condition, clinical manifestations, laboratory parameters, NLR, MLR, PLR and HALP of these groups. We also retrospectively analyzed the possible factors affecting the prognostic regression of patients with COVID-19. Results A total of 118 COVID-19 patients were enrolled in this study, including 64 non-severe patients, 38 severe patients and 16 death patients. Compared with the non-severe group, T lymphocytes, B lymphocytes, Th1, Th2, Th17, Treg cells, IgA, IgG, IgM in the severe and death groups decreased more significantly (P<0.05). The levels of myocardial markers, ALT, AST, BUN, Cr, D-dimer, fibrinogen, NLR, MLR and PLR in the severe and death groups were significantly higher than those in the non-severe group (P<0.05). The level of HALP was significantly lower than that of non-severe group (P<0.05). MLR is not only an independent risk factor for the transition from non-severe to severe disease, but also an independent risk factor for predicting the possibility of death in COVID-19 patients. Conclusion The analysis of COVID-19 patients in China showed that severe patients were older, more likely to have related complications, lower lymphocyte count, liver and kidney function disorder, glucose and lipid metabolism disorders, myocardial injury, and abnormal coagulation function, suggesting the need for early anticoagulant therapy. In addition, NLR, MLR, PLR and HALP can be used as biomarkers to evaluate the severity and prognosis of COVID-19 patients.
Effects of Thiamethoxam and Fenvalerate Residue Levels on Light-Stable Isotopes of Leafy Vegetables

Accurate identification of the rational and standardized use of pesticides is important for the sustainable development of agriculture while maintaining a high quality. The insecticides thiamethoxam and fenvalerate and the vegetables spinach, cabbage, and lettuce were used here as study objects. Descriptive analysis and primary reaction kinetic equations were used to analyze the changes in metabolic residues of the two insecticides after different numbers of application in three vegetables. The effects of pesticide residue levels on the δ13C, δ15N, δ2H, and δ18O values of vegetables were analyzed by one-way analysis of variance and correlation analysis. Partial least squares discriminant analysis (PLS-DA) was applied to build discrimination models of the vegetables with different pesticide residues based on stable isotopes. The results showed that the first degradation residues of thiamethoxam and fenvalerate in spinach, cabbage, and lettuce conformed to primary reaction kinetic equations, but the degradation half-lives were long, and accumulation occurred in the second application. The differences in the four stable isotope ratios in the control group of the three vegetables were statistically significant, and two-thirds of the stable isotope ratios in the three vegetables with different numbers of pesticide applications were significantly different. The δ13C and δ15N values of spinach, the δ13C, δ15N, and δ2H values of cabbage, and the δ13C, δ15N, δ2H, and δ18O values of lettuce were significantly correlated with different residues of thiamethoxam and/or fenvalerate applications. The control groups of the three vegetables, spinach-thiamethoxam-first, spinach-thiamethoxam-second, cabbage-thiamethoxam-second, cabbage-fenvalerate-first, and lettuce-thiamethoxam-first, were fully identified by PLS-DA models, while the identification models of other vegetables containing pesticide residues still need to be further improved. The results provide technical support for identifying the rational use of pesticides in vegetables and provide a reference method for guaranteeing the authenticity of green and organic vegetables.
Association of IL10RA, IL10RB, and IL22RA Polymorphisms/Haplotypes with Susceptibility to and Clinical Manifestations of SLE

Systemic lupus erythematosus (SLE) is characterized by an imbalance between proinflammatory and anti-inflammatory mediators. Single-nucleotide polymorphisms (SNPs) in genes coding IL10RA, IL10RB, and IL22RA could affect their expression or function and disrupt immune homeostasis. We aimed to analyze the associations of IL10RA, IL10RB, and IL22RA polymorphisms/haplotypes with patients’ susceptibility to and clinical manifestations of SLE. Our study included 103 SLE patients and 99 healthy controls. The genotypes of the selected polymorphisms within IL10RA (rs10892202, rs4252270, rs3135932, rs2228055, rs2229113, and rs9610), IL10RB (rs999788, rs2834167, and rs1058867), and IL22RA (rs3795299 and rs16829204) genes were determined by TaqMan® Assays. IL10RB rs1058867 G allele carriers were significantly more frequent among the controls than among the SLE patients (76.8% vs. 61.2%; p = 0.017, OR = 0.477, 95% CI: 0.258–0.879). The IL10RB CAA haplotype was more frequent among the SLE patients than in the control group (42.7% vs. 30.7%; p = 0.027). The IL22RA rs3795299 C allele and rs16829204 CC genotype were associated with Hashimoto thyroiditis in the SLE patients (n = 103; p = 0.002 and p = 0.026, respectively), and in all the included participants (n = 202, p < 0.000 and p = 0.007, respectively), and the IL22RA CC haplotype was more frequent in the SLE patients with Hashimoto thyroiditis (p = 0.047) and in the overall participants with Hashimoto thyroiditis (n = 32, p = 0.004). The IL10RA, IL10RB, and IL22RA polymorphisms/haplotypes could be associated with SLE susceptibility and various clinical manifestations, and the IL22RA CC haplotype could be associated with Hashimoto thyroiditis.
Factors Influencing Employee Engagement and its Impact on Organizational Performance

Purpose: The purpose of this study is to identify the factors affecting the employee engagement as well as to examine the effect of employee engagement on organizational performance. Design/Methodology/Approach: Descriptive and Analytical research design was used for data analysis. A convenient sample of 200 employees of Nepal Telecom responded to a structured questionnaire. Correlation and Regression analysis were performed to examine the hypothesis. Findings: The result shows that identified factors like career development, compensation, work environment, team and co-worker relationship, organizational policies and workplace wellbeing have positive and significant impact on employee engagement whereas Leadership has negative and insignificant impact on employee engagement. Further, the result also shows employee engagement had significant impact on organizational performance. Practical Implication: Organization must focus and effort on the factors like organizational policies and team and co-worker relationship as they have shown significantly higher impact on employee engagement and organizational performance. Organization should develop favourable organizational policies and focus on developing a good environment and promote such programmes that enhances team and peer relationship. Originality/Value: Managers must apply various strategies to make their employee engaged which is less prioritized till today.
Acid-sensing ion channel blocker diminazene facilitates proton-induced excitation of afferent nerves in a similar manner that Na+/H+ exchanger blockers do

Tissue acidification causes sustained activation of primary nociceptors, which causes pain. In mammals, acid-sensing ion channels (ASICs) are the primary acid sensors; however, Na+/H+ exchangers (NHEs) and TRPV1 receptors also contribute to tissue acidification sensing. ASICs, NHEs, and TRPV1 receptors are found to be expressed in nociceptive nerve fibers. ASIC inhibitors reduce peripheral acid-induced hyperalgesia and suppress inflammatory pain. Also, it was shown that pharmacological inhibition of NHE1 promotes nociceptive behavior in acute pain models, whereas inhibition of TRPV1 receptors gives relief. The murine skin-nerve preparation was used in this study to assess the activation of native polymodal nociceptors by mild acidification (pH 6.1). We have found that diminazene, a well-known antagonist of ASICs did not suppress pH-induced activation of CMH-fibers at concentrations as high as 25 μM. Moreover, at 100 μM, it induces the potentiation of the fibers’ response to acidic pH. At the same time, this concentration virtually completely inhibited ASIC currents in mouse dorsal root ganglia (DRG) neurons (IC50 = 17.0 ± 4.5 μM). Non-selective ASICs and NHEs inhibitor EIPA (5-(N-ethyl-N-isopropyl)amiloride) at 10 μM, as well as selective NHE1 inhibitor zoniporide at 0.5 μM induced qualitatively the same effects as 100 μM of diminazene. Our results indicate that excitation of afferent nerve terminals induced by mild acidification occurs mainly due to the NHE1, rather than acid-sensing ion channels. At high concentrations, diminazene acts as a weak blocker of the NHE. It lacks chemical similarity with amiloride, EIPA, and zoniporide, so it may represent a novel structural motif for the development of NHE antagonists. However, the effect of diminazene on the acid-induced excitation of primary nociceptors remains enigmatic and requires additional investigations.
Knowledge, Use and Attitude of Information and Communication Technologies (ICTs) in Graduate Nursing Students: A Correlational Cross-Sectional Study

Education in the XXI century is called to move forward in the right direction and to gain momentum to face diverse challenges and take opportunities offered by the knowledge that is inherent in society. Therefore, it can be postulated that there must be a close relationship between learning, the generation of knowledge, continuous innovation and the use of new technologies. This is a cross-sectional descriptive study conducted among a sample of 242 first year and second year Cadiz University nursing students, using the validated Learning and Study Strategies Inventory questionnaire to assess motivation and the Relationship between Learning Styles and Information and Communication Technologies questionnaire to assess knowledge, use and attitude. The predominant profile type of nursing degree students was women under 21 years old, who were single and exclusively dedicated to their studies. In addition, they showed positive motivation in relation to learning while facing adversity (between 76% and 76.6%). Regarding the level of knowledge, use and attitude towards ICTs, most of the considered items presented high values. For some questions, age was proven to be a sociodemographic variable that influenced both the motivation and attitude of the students. The level of knowledge, use and attitude that students have regarding ICTs are good when we refer to communication technologies, interpersonal relationships or basic programs. However, they are low when considering programs related to education or learning.