Miracle-dz/UniFAR-FTUs huggingface dataset:
Discourse strategies of Al-Sayeda Zainab ’ s ( as ) Sermon in Yazid ’ s Palace

Undoubtedly Sermons play a very vital role as in social aspects , religious ideas , political issues and moral education, etc. The sermon of Al-Sayeda Zainab (S.A.) in the palace of Yazid is proposed to be analyzed in this paper . On the other hand sermon can be both oral and written. They have to address a wide range of hearers by various social and educational levels. The paper is concerned with the critical discourse analysis of one of the sermons of Al-Sayeda Zainab, specifically, her sermon in Yazid’s palace in Sham. The sermon to be analyzed in the current study is picked up at random among several texts available on the website. The sermon has been records by several writers and uploaded on the website . The study also presents a theoretical background to the concept of critical discourse analysis. The study adopts two models for the analysis, namely, van Dijk's Ideological Square (1998) for the macro-level analysis, and van Dijk's Ideological Discourse Analysis (1995b) to find out the discursive strategies which are adopted in the sermon of Al-Sayeda Zainab Peace be upon her.
ON CERTAIN SUBCLASS OF ANALYTIC AND UNIVALENT FUNCTIONS BASED ON RUSCHEWEYH DERIVATIVES AND HADAMARD PRODUCT

Let S denote the class of functions f(z) analytic and univalent in the unit disc ∆ = {z : |z| < 1} and normalized by f(0) = 0 and f ′(0) = 1. In this paper we introduce a new subclass of S based on Ruscheweyh derivative and Hadamard product. Coefficient estimates, extreme points, distortion theorem, closure theorem, radius of starlikeness and convexity, radii of close-to-convexity, inclusion property and integral operators are determined for functions in this subclass.
Hidden but not enough: DNA barcodes reveal two new species in Hygrobates fluviatilis complex from Iran (Acariformes, Hydrachnidia, Hygrobatidae)

Abstract Water mites of the Hygrobates fluviatilis complex are common in Palaearctic inhabiting mainly running and slowly flowing waters. In this study, we examined the specimens collected in a stream in Golestan Province of Iran which is currently the easternmost distribution limit of the latter species complex. We used a fragment of the mtDNA COI gene and the D2 region of 28S rDNA to test the genetic structure. Molecular analyses revealed presence of two new well-supported species with a mean genetic divergence of 12.80% and 14.66% COI, respectively, from their closest relatives. Phylogenetic analysis based on COI and nuclear DNA data placed H. grabowskii sp. nov. as the sister species of H. persicus, and H. ulii sp. nov. as the sister species of H. turcicus. Discriminant statistical analysis revealed that the two newly discovered species could be separated on the basis of morphometric characters, but robust morphological differences were not found. Yet we were able to show that diversity in water mites is underestimated and that species delimitation requires an integrative approach.
A novel adaptive actuator failure compensation scheme based on multi-design integration for half-car active suspension system

A new actuator failure compensation scheme in the presence of actuator failures with multi-uncertainties is proposed for half-car active suspension systems based on multi-design integration. A parameterized function has been introduced to denote the multiple failures occurred in the front and rear actuators. An effective feedback controller is designed to obtain asymptotic tracking and closed-loop system stability by employing backstepping technique. Based on the desired controller, multiple adaptive control signals are designed corresponding to each possible failure case. By introducing failure indicator functions and integrating these control signals, a composite controller is constructed to handle all failure patterns, which ensures both pitch and vertical motions of car body to stabilize and track the desired signals. Finally, simulation is conducted to verify the effectiveness of the controller proposed in this study.
A critical review on security approaches to software-defined wireless sensor networking

Wireless sensor networks (WSNs) are very prone to ongoing security threats due to its resource constraints and unprotected transmission medium. WSN contains hundreds and thousands of resource-constrained and self-organized sensor nodes. These sensor nodes are usually organized in a distributed manner; thus, it permits the creation of an ad hoc network without predefined infrastructure or centralized management. As WSNs are going to get control of real-time applications, where a malicious activity can cause serious damage, the inherent challenge is to fortify the security enforcement in these networks. As a solution, software-defined network (SDN) has come out and has been merged with WSN to form what is known as software-defined wireless sensor network (SDWSN). SDWSN has come into existence, and it legitimizes network operators with more flexibility and control over the network. SDWSN has more tightened the security enforcement based on the global view and centralized control of the network topology. Moreover, machine learning (ML)–based and deep learning (DL)–based network intrusion detection systems (NIDS) have been introduced to the SDN environment to protect the networks against anomaly threats. In this review article, we illustrated the SDN–based security approaches to WSN followed by its architectures, advantages, and possible security threats. Finally, ML/DL–based NIDS integrated with the SDN controller is proposed as a complete solution for the WSN environment to confront the ongoing anomaly threats and to sufficiently protect the network against both known and unknown attacks.
Digital interventions for people living with non-communicable diseases in India: A systematic review of intervention studies and recommendations for future research and development

Background A high burden of non-communicable diseases (NCDs) is contributing to high mortality and morbidity in India. Recent advancements in digital health interventions, including mHealth, eHealth, and telemedicine, have facilitated patient-centered care for NCDs. Objective This systematic review aims to evaluate the current evidence on digital interventions for people living with NCDs in India and the outcomes of those interventions. Methods We adopted PRISMA guidelines and systematically reviewed articles from MEDLINE, CINAHL, PsycINFO, ERIC, and Scopus databases with following criteria: journal articles presenting digital intervention(s) used by people with at least one of the NCDs, reporting health outcomes following the intervention, studies conducted in India among Indian population. Results Among 1669 articles retrieved from multiple sources, only 13 articles met our criteria. Most (n = 7) studies were conducted in southern states of India; eight studies included patients with diabetes, followed by neuropsychiatric disorders and other NCDs. Five studies recruited participants from tertiary hospitals; six interventions used text-messaging for delivering health services, and 10 studies reported randomized controlled trials. All the studies reported positive health outcomes following the intervention, including better self-management, increased patient–provider communication, improved medication adherence, and reduced disease symptoms. Most studies scored moderate to high in quality assessment checklist of Downs and Black. Conclusion Current evidence suggests a low number of interventions with positive outcomes. Future research should explore avenues of advanced technologies ensuring equitable and sustainable development of digital health interventions for people living with NCDs in India.
The adsorbing properties of mesoporous silica/carbon composites prepared by direct carbonization of the template as the sole source of the carbon phase

The objective of this study was to prepare composite materials based on mesoporous silica/carbon, functionalized with acid groups, and also to analyze its application in the adsorption of dyes. These materials were prepared in a simplified unconventional route. The carbon phase was generated by direct carbonization of organic surface-active templates, which are used in the synthesis of meso-ordered silicas. The resulting composite materials were characterized in terms of their structure, texture, chemical composition, and surface chemical reactivity. Data obtained demonstrate uniform and ordered porous structures of approximately 70–200 Å, with a developed surface area of approximately 400–500 m2 g−1 and a large total pore volume of approximately 1.0–1.5 cm3 g−1. The potential of synthesized composite materials functionalized by oxygenated groups as adsorbents of cationic dyes was analyzed, the values of the maximum adsorption capacity between 317 mg g−1 and 245 mg g−1 were obtained. The adsorbing properties of silica/carbon composite materials obtained in an unconventional method using an organic template as the only carbon source were compared with the properties of silica/carbon composite materials manufactured by the conventional method using external precursors of the carbon phase. It has been proved that composite materials synthesized using an unconventional procedure, despite the fact that they have a lower carbon phase content, exhibit adsorption properties that are comparable or superior to materials elaborated in the traditional way, removing up to 85–90% of methylene blue from water contaminated with dye.
Elevated levels of serum, but not salivary, brain-derived neurotrophic factor following mild traumatic brain injury in collegiate athletes post return-to-play

Brain-derived neurotrophic factor (BDNF) helps restore neuronal function following mild traumatic brain injury. BDNF levels can be obtained in blood serum and more recently in saliva. However, the relationship between serum and salivary BDNF is poorly understood—especially in relation to alterations in BDNF levels following mild traumatic brain injury. In this study, serum and salivary BDNF were collected from a sample of 42 collegiate student athletes. Half of the participants were recently cleared by a physician and/or an athletic trainer to return-to-play after experiencing a sports-related concussion. The other half had not experienced a concussion within the past year and were matched by age, sex, sport, and time of sample. Results suggest that incidences of depression, anxiety, and stress were all elevated in the concussion group, relative to the control participants. When controlling for stress-related negative affect, serum BDNF was elevated in the concussion group. However, there was no difference in salivary BDNF. Serum and salivary BDNF were uncorrelated across the entire sample. Yet, these measures of BDNF were correlated in the concussion group, but not the control group. In sum, serum BDNF is elevated in concussion post return-to-play; however, further research is needed to explore the utility of salivary BDNF following concussion.
Salt template zirconia reinforcing particles as possible reinforcement for PMMA matrix composite

To obtain flakes like zirconia particles at relatively low temperature, the synthesis method for producing zirconia particles on the surface of salt particles that serve as a template is examined. The produced particles are incorporated as reinforcement in the poly(methyl methacrylate) matrix to obtain a composite material. The particles were characterized by the X-ray diffraction, Fourier-transform infrared spectroscopy, and image analysis. The morphology of the particles and composites was examined using a field emission scanning electron microscope. Composites prepared with synthesized particles were compared to those containing commercial zirconia particles to estimate the possibility of use of synthesized particles as reinforcement. The influence of the 1 wt% of zirconia particles in composite material on the mechanical properties was studied using microhardness measurements and dynamic mechanical analysis. The results obtained show that the addition of 1 wt% of zirconia particles increases the mechanical properties of the composite relative to the pure polymer matrix.
Design and verification of model predictive control for micro-turboshaft engine

In this article, a nonlinear model predictive control algorithm for a micro-turboshaft engine is designed. The control effect is verified by a bench test. First, a micro-turboshaft engine test bench is built, and the open-loop control experiment was carried out on it. Based on experiment data, a linear parameter varying prediction model is established. Then, by online rolling optimization based on multistep output prediction, together with feedback correction, a nonlinear model predictive control algorithm is obtained. The influence of algorithm parameters on the control effect is studied, and reasonable prediction period M, control period N, and control coefficient R are designed. Finally, the application of nonlinear model predictive control in micro-turboshaft engine is verified by bench test. The results show that with the changing of pitch angle, nonlinear model predictive control algorithm has a faster adjustment speed and smaller overshoot, compared with the conventional cascade proportional–integral control with feedforward. It is proofed that nonlinear model predictive control can be applied to a real turboshaft engine and has a better control effect.
A comparative analysis of emotional intelligence and intelligence quotient among Saudi business students’ toward academic performance

Understanding the determinants of student learning outcomes and their academic performance is never being easy. Most of the studies examined the impact of emotional intelligence (EI) and intelligence quotient (IQ) on academic performance discretely, and their combined influence was not studied. The study identifies various dimensions of EI and IQ and investigates their impact on university business students’ academic performance comparatively among private and public university students. The data relevant to this study were collected from 416 students of various Business Colleges of Saudi central province universities, using online survey questionnaire. Structural equation modeling analysis using SPSS AMOS was used to evaluate the data. The private students possess a significant IQ, and their academic performance is primarily driven by IQ and with high EI; whereas public sector students possess moderate EI with insignificant IQ levels and tend to perform average in their academics. All the measurement items of EI and IQ explained only 43.6% of variance in public student’s performance and 56.3% in private student’s performance. The study argues the cognitive intelligence is very purposive in academics but narrow in nature and does not extend the horizon of student’s lifelong learning. Therefore, EI is vital and plays a prominent role in supporting their IQ as well. The study is limited to only business students; therefore, findings may not be generalized to other academic domains and for master level students. It suggests to conduct further studies to explore relationship among various exogenous variables.
Model-free optimal decentralized sliding mode control for modular and reconfigurable robots based on adaptive dynamic programming

In this article, a model-free decentralized sliding mode control method is proposed based on adaptive dynamic programming algorithm to solve the problem of optimal trajectory tracking control of modular and reconfigurable robots. The dynamic model of modular and reconfigurable robot is formulated by a synthesis of joint subsystems with interconnected dynamic couplings. Based on sliding mode control technique, the optimal control problem of the modular and reconfigurable robot systems is transformed into an optimal compensation issue of unknown dynamics of each joint subsystems, in which the interconnected dynamic couplings effects among the subsystems are approximated by using the developed neural network identifier. Based on policy iteration scheme and the adaptive dynamic programming algorithm, the Hamilton–Jacobi–Bellman equation can be solved by using the critic neural network, so that optimal control policy can be obtained. The closed-loop system is proved to be asymptotically stable by using the Lyapunov theory. Finally, simulation results are provided to demonstrate the effectiveness of the method.
Electronic cigarettes and insulin resistance in animals and humans: Results of a controlled animal study and the National Health and Nutrition Examination Survey (NHANES 2013-2016)

Background The popularity of electronic cigarettes (E-cigarettes) has risen considerably. Several studies have suggested that nicotine may affect insulin resistance, however, the impact of E-cigarette exposure on insulin resistance, an early measure of cardiometabolic risk, is not known. Methods and results Using experimental animals and human data obtained from 3,989 participants of the United States National Health and Nutrition Examination Survey (NHANES), respectively, we assessed the association between E-cigarette and conventional cigarette exposures and insulin resistance, as modelled using the homeostatic model assessment of insulin resistance (HOMA-IR) and glucose tolerance tests (GTT). C57BL6/J mice (on standard chow diet) exposed to E-cigarette aerosol or mainstream cigarette smoke (MCS) for 12 weeks showed HOMA-IR and GTT levels comparable with filtered air-exposed controls. In the NHANES cohort, there was no significant association between defined tobacco product use categories (non-users; sole E-cigarette users; cigarette smokers and dual users) and insulin resistance. Compared with non-users of e-cigarettes/conventional cigarettes, sole E-cigarette users showed no significant difference in HOMA-IR or GTT levels following adjustment for age, sex, race, physical activity, alcohol use and BMI. Conclusion E-cigarettes do not appear to be linked with insulin resistance. Our findings may inform future studies assessing potential cardiometabolic harms associated with E-cigarette use.
Decreased amplitude and reliability of odor-evoked responses in two mouse models of autism.

Sensory processing deficits are increasingly recognized as core symptoms of autism spectrum disorders (ASDs). However the molecular and circuit mechanisms that lead to sensory deficits are unknown. Here we show that two molecularly disparate mouse models of autism display similar deficits in sensory-evoked responses in the mouse olfactory system. We find that both Cntnap2 and Shank3 deficient mice of both sexes exhibit reduced response amplitude and trial to trial reliability during repeated odor presentation. Mechanistically, we show that both mouse models have weaker and fewer synapses between olfactory sensory nerve (OSN) terminals and olfactory bulb tufted cells and weaker synapses between OSN terminals and inhibitory periglomerular cells. Consequently, deficits in sensory procesing provide an excellent candidate phenotype for analysis in ASDs.
Chemotherapy effectiveness in trial-underrepresented groups with early breast cancer: A retrospective cohort study

Background Adjuvant chemotherapy in early stage breast cancer has been shown to reduce mortality in a large meta-analysis of over 100 randomised trials. However, these trials largely excluded patients aged 70 years and over or with higher levels of comorbidity. There is therefore uncertainty about whether the effectiveness of adjuvant chemotherapy generalises to these groups, hindering patient and clinician decision-making. This study utilises administrative healthcare data—real world data (RWD)—and econometric methods for causal analysis to estimate treatment effectiveness in these trial-underrepresented groups. Methods and findings Women with early breast cancer aged 70 years and over and those under 70 years with a high level of comorbidity were identified and their records extracted from Scottish Cancer Registry (2001–2015) data linked to other routine health records. A high level of comorbidity was defined as scoring 1 or more on the Charlson comorbidity index, being in the top decile of inpatient stays, and/or having 5 or more visits to specific outpatient clinics, all within the 5 years preceding breast cancer diagnosis. Propensity score matching (PSM) and instrumental variable (IV) analysis, previously identified as feasible and valid in this setting, were used in conjunction with Cox regression to estimate hazard ratios for death from breast cancer and death from all causes. The analysis adjusts for age, clinical prognostic factors, and socioeconomic deprivation; the IV method may also adjust for unmeasured confounding factors. Cohorts of 9,653 and 7,965 were identified for women aged 70 years and over and those with high comorbidity, respectively. In the ≥70/high comorbidity cohorts, median follow-up was 5.17/6.53 years and there were 1,935/740 deaths from breast cancer. For women aged 70 years and over, the PSM-estimated HR was 0.73 (95% CI 0.64–0.95), while for women with high comorbidity it was 0.67 (95% CI 0.51–0.86). This translates to a mean predicted benefit in terms of overall survival at 10 years of approximately3% (percentage points) and 4%, respectively. A limitation of this analysis is that use of observational data means uncertainty remains both from sampling uncertainty and from potential bias from residual confounding. Conclusions The results of this study, as RWD, should be interpreted with caution and in the context of existing and emerging randomised data. The relative effectiveness of adjuvant chemotherapy in reducing mortality in patients with early stage breast cancer appears to be generalisable to the selected trial-underrepresented groups.
Potential of mesenchymal- and cardiac progenitor cells for therapeutic targeting of B-cells and antibody responses in end-stage heart failure

Upon myocardial damage, the release of cardiac proteins induces a strong antibody-mediated immune response, which can lead to adverse cardiac remodeling and eventually heart failure (HF). Stem cell therapy using mesenchymal stromal cells (MSCs) or cardiomyocyte progenitor cells (CPCs) previously showed beneficial effects on cardiac function despite low engraftment in the heart. Paracrine mediators are likely of great importance, where, for example, MSC-derived extracellular vesicles (EVs) also show immunosuppressive properties in vitro. However, the limited capacity of MSCs to differentiate into cardiac cells and the sufficient scaling of MSC-derived EVs remain a challenge to clinical translation. Therefore, we investigated the immunosuppressive actions of endogenous CPCs and CPC-derived EVs on antibody production in vitro, using both healthy controls and end-stage HF patients. Both MSCs and CPCs strongly inhibit lymphocyte proliferation and antibody production in vitro. Furthermore, CPC-derived EVs significantly lowered the levels of IgG1, IgG4, and IgM, especially when administered for longer duration. In line with previous findings, plasma cells of end-stage HF patients showed high production of IgG3, which can be inhibited by MSCs in vitro. MSCs and CPCs inhibit in vitro antibody production of both healthy and end-stage HF-derived immune cells. CPC-derived paracrine factors, such as EVs, show similar effects, but do not provide the complete immunosuppressive capacity of CPCs. The strongest immunosuppressive effects were observed using MSCs, suggesting that MSCs might be the best candidates for therapeutic targeting of B-cell responses in HF.