Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Relationship between Education Reforms and Sustainable Development: Evidence from Nigeria

Nigeria between 1980 and 2018 shows a mixed relationship between education reforms and sustainable development. In 2016, over 45 percent of Nigerian graduates are unemployed and about a 39.4 percent increase in education enrolment rate had resulted in stagnated economic sustainable development in Nigeria. Following the endogenous growth theory and the environmental Kuznets hypothesis underpinnings, this study investigated the cause and effect of education reforms and sustainable development in Nigeria between 1980 and 2018. The descriptive statistics employed describe the data distribution of the included variables while the vector error correction model (VECM) econometric technique was used to determine the short-run and long-run impact of education reforms on economic, social, and environmentally sustainable development in Nigeria. The results found that qualitative education reform has a positive impact on economic and environmentally sustainable development while quantitative education has a negative impact on socially sustainable development in the long run. Further, the short-run, VECM results revealed that qualitative education reforms will speedily affect economic, social, and environmentally sustainable development than the quantitative education reforms within the period of study. The study recommends that quantity and quality education reforms should be seen as complementary and not a substitute in achieving sustainable development by the year 2030 in Nigeria.
Sleep, Cognition and Cortisol in Addison’s Disease: A Mechanistic Relationship

Sleep is a critical biological process, essential for cognitive well-being. Neuroscientific literature suggests there are mechanistic relations between sleep disruption and memory deficits, and that varying concentrations of cortisol may play an important role in mediating those relations. Patients with Addison’s disease (AD) experience consistent and predictable periods of sub- and supra-physiological cortisol concentrations due to lifelong glucocorticoid replacement therapy, and they frequently report disrupted sleep and impaired memory. These disruptions and impairments may be related to the failure of replacement regimens to restore a normal circadian rhythm of cortisol secretion. Available data provides support for existing theoretical frameworks which postulate that in AD and other neuroendocrine, neurological, or psychiatric disorders, disrupted sleep is an important biological mechanism that underlies, at least partially, the memory impairments that patients frequently report experiencing. Given the literature linking sleep disruption and cognitive impairment in AD, future initiatives should aim to improve patients’ cognitive performance (and, indeed, their overall quality of life) by prioritizing and optimizing sleep. This review summarizes the literature on sleep and cognition in AD, and the role that cortisol concentrations play in the relationship between the two.
KINETIC AND THERMODYNAMIC ADSORPTION STUDIES OF METHYLENE BLUE ONTO ZEOLITE FROM AQUEOUS SOLUTION

Zeolite was synthesized via hydrothermal method from sodium metasilicate and sodium aluminate solutions. The prepared sample was characterized by Fourier transform infrared (FTIR) spectroscopy, Scanning electron microscopy (SEM) and X-ray diffraction (XRD). The adsorption of methylene blue dye onto zeolite was studied. The adsorption experiments were carried out in batches and the effect of parameters such as concentration, pH, adsorbent dosage, temperature and contact time were investigated. The experimental data were fitted into the Langmuir and Freundlich Adsorption Isotherm. The result was fitted into pseudo- first order and pseudo- second order kinetic models. The thermodynamic parameters were also evaluated. The results revealed that maximum adsorption of methylene blue dye was achieved at a concentration of 20 mg/L and pH of 8.9. The adsorption process followed a Langmuir adsorption isotherm model with a correlation coefficient value of 0.9911. The negative value of standard enthalpy of adsorption, ΔHo calculated as -9.4 kJmol-1 revealed the exothermic nature of the adsorption process, the negative value of standard entropy of adsorption, ΔSo evaluated as -20.6 Jmol-1K-1showed that no significant change occurs in the internal structures of zeolite during the adsorption process and the negative value of Gibbs free energy, ΔGo obtained as -3.28 kJmol-1indicated the spontaneity of the adsorption process
Hexose translocation mediated by SlSWEET5b is required for pollen maturation in Solanum lycopersicum

Pollen fertility is critical for successful fertilization and, accordingly, for crop yield. While sugar unloading affects growth and development of all types of sink organs, the molecular nature for sugar import to tomato pollen is poorly understood. However, SWEET transporters have been proposed to function in pollen development. Here, qRT-PCR revealed that SlSWEET5b was markedly expressed in flowers when compared to the remaining tomato SlSWEETs; particularly, in the stamens of maturing flower buds undergoing mitosis. Distinct accumulation of SlSWEET5b-GUS fusion proteins was present in mature flower buds, especially in anther vascular and inner cells, symplasmic isolated pollen cells and styles. The demonstration that GFP fusion proteins located to the plasma membrane support the idea that the SlSWEET5b carrier functions in apoplasmic sugar translocation during pollen maturation. Such function is in line with data from yeast complementation experiments and radiotracer uptakes, showing that SlSWEET5b operates as a low affinity hexose-specific passive facilitator, with a KM of ~36 mM. Most importantly, RNAi-mediated suppression of SlSWEET5b expression resulted in shrunken nucleus-less pollen cells, impaired germination and low seed yield. Interestingly, stamens from SlSWEET5b-silenced tomato mutants contained significantly lower amounts of sucrose and increased invertase activity, pointing to reduced carbon supply and perturbed sucrose homeostasis in this tissue. Taken together, our findings reveal an essential role of SlSWEET5b in mediating apoplasmic hexose import into phloem unloading cells and into developing pollen cells to support pollen mitosis and maturation in tomato flowers. One-sentence Summary Plasma-membrane-localized SlSWEET5b facilitates a sequential hexose flux, from phloem to anther cells and from anther locule to pollen, to support pollen maturation and fertility in tomato flowers.
Design and development of a coaxial cryogenic probe for precision measurements of the quantum Hall effect in the AC regime

The quantum Hall effect is the basis for the realisation of the resistance and impedance units in the International System of units since 2019. This paper describes a cryogenic probe that allows to set graphene Hall devices in quantisation conditions in a helium bath (4.2 K) and magnetic fields up to 6 T, to perform precision measurements in the AC regime with impedance bridges. The probe has a full coaxial wiring, isolated from the probe structure, and holds the device in a TO-8 socket. First, characterization experiments are reported on a GaAs device, showing quantisation at 5.5 T. In the AC regime, multiple-series connections will be employed to minimize the residual error, quantified by electrical modelling of the probe.
Frequency of HR-HPV Types in Patients with High Grade Cervical Intraepithelial Neoplasia (CIN)

Materials & Methods: In this cross-sectional and retrospective study conducted from 2016 to 2020, 261 women with cervical intra-epithelial neoplasia (CIN) grade two and three referred to one of the gynecological oncology clinics of Shahid Beheshti University of Medical Sciences, who were eligible to enter the study and were evaluated by the research unit of the relevant university after receiving an ethics code. During the study, patients whose cervical cancer was confirmed by colposcopic diagnostic method, HPV screening was performed by COBAS method and lesions were sampled to determine the type of HPV.
Circulating microRNAs as Potential Diagnostic Biomarkers for Poor Sleep Quality

Purpose: Persistent poor sleep quality leads to impaired cognitive performance and an inability to perform daily activities. Biomarker-assisted diagnosis is important for the early treatment of poor sleep quality; however, diagnostic biomarkers for poor sleep quality remain unidentified. Circulating microRNAs (miRNAs) have been reported to be linked to the pathogenesis of poor sleep quality, indicating their possible role in sleep problem diagnosis. The present study aimed to identify potential miRNA biomarkers for poor sleep quality. Patients and Methods: Differentially expressed serum miRNAs in patients with poor sleep quality and healthy controls (n=20) were analyzed via small RNA sequencing. Two-step quantitative RT-PCR in the two independent populations and receiver operating char-acteristic (ROC) analyses were used to validate the identified miRNAs. In silico analysis was then used to identify the target genes. Results: Of the 59 circulating miRNAs identified via differential analysis, six were validated for differential expression by quantitative RT-PCR (n=60). Two of these six miRNAs, miR-4433b-3p and miR-619-5p, were reconfirmed in the second validation with an independent validation cohort (n=59). ROC analyses (n=40) revealed the probability of the two miRNAs as potential biomarkers with areas under the ROC curve (AUCs) of 0.81 and 0.70, respec-tively. The combined AUC was 0.86, which was much higher than that of each miRNA. Using in silico target gene analysis, the target genes of the two miRNAs were identified to be associated with the regulation of the circadian rhythm and inflammatory pathways. Conclusion: Our results revealed that miR-619-5p and miR-4433b-3p could be developed as potential diagnostic biomarkers for poor sleep quality. The combination of both miRNAs may be more effective than the use of the individual miRNA for sleep problem diagnosis.
EFFECT OF GIRDLING AND GIBBERELLIC ACID APPLICATION ON YIELD AND FRUITS QUALITY CHARACTERISTICS OF BALADY MANDARIN

he present study was carried out during two successive of 2016 and 2017 on 10 years old Balady mandarin (Citrus reticulate Blanco) trees budded on sour orange rootstock (Citrus aurantium L. Osbeck) and spaced 3.5×3.5 meters apart. Trees have been treated with girdling and gibberellic acid and were grown in sandy soil under drip irrigation system in a private orchard at Alkamal regionIsmalia Governorate, Egypt, in July and December. The aim of this work was to study the effect of girdling and gibberellic acid on the vegetative growth, yield and fruit quality. The chosen trees girdled with 2 mm, 4 mm width and gibberellic acid was sprayed (at 50 and 100 ppm) alone or in combination with girdling in each season. Results showed that, girdling 4 mm+100 ppm gibberellic acid have given the best enhanced vegetative growth parameters in terms of leaf area, carbohydrate and chlorophyll contents in the leaves of Balady mandarin trees in both seasons. Moreover, treatment of girdling 4 mm in December and girdling 4 mm+50 ppm GA3 gave the best fruit length, diameter as compared to control treatment. Yield and fruit quality of the chosen trees were significantly increased by all treatments as compared to control in both seasons.
Emotional Intelligence of Headteachers in the Senior High Schools in Ghana: A Conundrum?

The study employed the explanatory sequential mixed methods design where quantitative and qualitative data sets were collected to address the research problem. Two hundred and sixty-two (262) headteachers were sampled randomly from the Central and Greater Accra regions of Ghana for the quantitative phase of the study whilst eight (8) headteachers were subsequently sampled purposively for the qualitative phase of the study. The quantitative data were analyzed using means and standards deviations whilst the qualitative data were analyzed using content analysis. The study found that the emotional intelligence of the headteachers was low. The study further established that the academic qualification of the headteachers was not a significant predictor of their Emotional Intelligence (EI). However, the gender and age of the headteachers predicted their EI significantly. It was concluded the EI level of the headteachers may affect how they lead and manage their respective schools. It is recommended that periodic pragmatic and purposeful in-service and workshops in EI should be provided for headteachers in the study area by the Metro Directorate of Education. Furthermore, the Circuit Supervisors, Metro Directors and the Ghana Education Service should liaise with the Ghana Psychological Council to provide psychological support for the headteachers in the Senior High Schools within the study area. Finally, the Ministry of Education through the Ghana Tertiary Education Commission should ensure that teacher education programmes that are offered in the institutions of higher learning in Ghana have contents in the area of emotional intelligence and educational leadership to equip headteacher in the management of their schools.
E-COMMERCE RETAIL CUSTOMERS REPURCHASE FACTORS INFLUENCING IDENTIFICATION

With the fast-paced technological development era and the importance of using the Internet in our daily lives, e-commerce as shopping no longer seems new or unusual. Regardless of type or size, companies are using ecommerce advantage to compete in the market. Each of these companies needs a circle of independent and loyal customers. When the customer is satisfied, he gives positive feedback about the company and makes a repeat purchase. In this way, he attracts new customers to the company and provides an independent income for the company. Certain factors influence the customer's attitude and behavior. It is essential to determine what influences their customers' choices when competing to earn profit in the market; the customer must be satisfied in order for him to want to make a repurchase. Repurchases from customers indicate a loyalty to the company. Customer loyalty can be the result of a company consistently meeting and exceeding its customer expectations. Customer loyalty can have a significant impact on business growth. To assess and identify the factors influencing customer satisfaction, they are identified and offered a conceptual reflection of the current situation and offer a conceptual model of Identification Causes and Effects of Customer Satisfaction Framework (IceCSF) in e-commerce retail.
IV-Thrombolysis in Ischemic Stroke With Unknown Time of Onset—Safety and Outcomes in Posterior vs. Anterior Circulation Stroke

Background: rt-PA for ischemic stroke in the unknown or extended time window beyond the first 4. 5 h after symptom onset is safe and effective for certain patients after selection by multimodal neuroimaging. However, the evidence for this approach comes mainly from patients with anterior circulation stroke (ACS), while the data on posterior circulation stroke (PCS) are scarce. Methods: Ischemic stroke patients treated with IV-thrombolysis in the unknown or extended time window between January 2011 and May 2019 were identified from an institutional registry. The patients were categorized into PCS or ACS based on clinico-radiological findings. We analyzed the hemorrhagic complications, clinical and imaging efficacy outcomes, and mortality rates by comparing the PCS and ACS patient groups. Adjusted outcome analyses were performed after propensity score matching for the relevant factors. Results: Of the 182 patients included, 38 (20.9%) had PCS and 144 (79.1%) had ACS. Symptomatic acute large vessel occlusion (LVO) was present in 123 patients on admission [27 (22.0%) PCS and 96 (78.0%) ACS]. The score on the National Institutes of Health Stroke Scale (NIHSS), the time from last seen normal, and the door-to-needle times were similar in PCS and ACS. In patients with LVO, the NIHSS score was lower [8 (5–15) vs. 14 (9–18), p = 0.005], and infarction visible on follow-up imaging was less common [70.4 vs. 87.5%; aRD, −18.9% (−39.8 to −2.2%)] in the PCS patient group. There was a trend toward a lower risk for intracranial hemorrhage (ICH) following intravenous thrombolysis in PCS vs. ACS, without reaching a statistical significance [5.3 vs. 16.9%; aRD, −10.4% (−20.4 to 4.0%)]. The incidence of symptomatic ICH [according to the ECASS III criteria: 2.6 vs. 3.5%; aRD, −2.9% (−10.3 to 9.2%)], efficacy outcomes, and mortality rates were similar in PCS and ACS patients. Conclusions: In this real-world clinical cohort, the safety and the efficacy of rt-PA for ischemic stroke in the unknown or extended time window did not show relevant differences between PCS and ACS, with a trend toward less hemorrhagic complications in PCS. The findings reconfirm the clinician in the usage of rt-PA beyond the first 4.5 h also in selected patients with PCS.
Effective Designing of Order Picking Systems Using Dynamic Simulation

In this article, we describe the use of dynamic simulation when designing an effective system for order picking within a distribution warehouse. The simulation model was created in the Witness software environment for discrete dynamic simulation and is a modification of a general simulation model of material flows in supplier systems. Using the example of a batch system for picking orders in a drugstore goods warehouse, we discuss the possibilities of using a general simulation model of material flows as an effective framework for the development of system support for warehouse processes using warehouse management system (WMS). The simulation model is based on the possibility of distributing any material flow in the supply system into a finite number of movements with the possibility of using one of the sources and fulfilment of certain conditions. In order to achieve the required optimisation of the order picking system, which depends, in particular, on the unknown duration of goods collection at the picking location, and on the duration of goods sorting in consolidation, the “what-if” analysis has been used as a tool to measure the impact of uncertainty of one or more variables entering the model on the uncertainty of output variables. The study showed that minimisation of the number of physical elements in the model leads to a significantly higher speed of its operation. By means of dynamic simulation, it is possible to test a large number of variants of the picking system layout in a relatively short time and minimise the risk of erroneous decisions associated with the implementation of a suitable WMS.
SCDRHA: A scRNA-Seq Data Dimensionality Reduction Algorithm Based on Hierarchical Autoencoder

Dimensionality reduction of high-dimensional data is crucial for single-cell RNA sequencing (scRNA-seq) visualization and clustering. One prominent challenge in scRNA-seq studies comes from the dropout events, which lead to zero-inflated data. To address this issue, in this paper, we propose a scRNA-seq data dimensionality reduction algorithm based on a hierarchical autoencoder, termed SCDRHA. The proposed SCDRHA consists of two core modules, where the first module is a deep count autoencoder (DCA) that is used to denoise data, and the second module is a graph autoencoder that projects the data into a low-dimensional space. Experimental results demonstrate that SCDRHA has better performance than existing state-of-the-art algorithms on dimension reduction and noise reduction in five real scRNA-seq datasets. Besides, SCDRHA can also dramatically improve the performance of data visualization and cell clustering.
Photoinactivation of Catalase Sensitizes Candida albicans and Candida auris to ROS‐Producing Agents and Immune Cells

Nearly all organisms found in nature have evolved and developed their own specific strategies to cope with reactive oxygen species (ROS). Catalase, a heme-containing tetramer protein expressed in a broad range of aerobic fungi, has been utilized as an essential enzymatic ROS detoxifying mechanism, and shows remarkable efficiency in degrading hydrogen peroxide (H2O2) for fungal cell survival and host invasion. Here, we demonstrate that catalase inactivation with blue light renders fungal cells highly susceptible to ROS attack, thus resembling a ‘strength-to-weakness optical switch’. To unveil catalase as the underlying molecular target of blue light and its inactivation mechanism, we systematically compared wild-type Candida albicans to a catalase-deficient mutant strain for susceptibility to ROS in the absence/presence of 410 nm treatment. Upon testing on a wide range of fungal species and strains, we found that intracellular catalase could be effectively and universally inactivated by 410 nm blue light. We find that the photoinactivation of catalase in combination with ROS-generating agents is highly effective and potent in achieving full eradication of multiple fungal species and strains, including multiple clinical strains of Candida auris, the causative agent of the global fungal epidemic. In addition, photoinactivation of catalase is shown to facilitate macrophage killing of intracellular Candida albicans. The antifungal efficacy of catalase photoinactivation is further validated using a Candida albicans-induced mouse model of skin abrasion. Taken together, our findings offer a novel catalase-photoinactivation approach to address multidrug-resistant Candida infections.
Cerebral-Cardiac Syndrome and Diabetes: Cardiac Damage After Ischemic Stroke in Diabetic State

Cerebral-cardiac syndrome (CCS) refers to cardiac dysfunction following varying brain injuries. Ischemic stroke is strongly evidenced to induce CCS characterizing as arrhythmia, myocardial damage, and heart failure. CCS is attributed to be the second leading cause of death in the post-stroke stage; however, the responsible mechanisms are obscure. Studies indicated the possible mechanisms including insular cortex injury, autonomic imbalance, catecholamine surge, immune response, and systemic inflammation. Of note, the characteristics of the stroke population reveal a common comorbidity with diabetes. The close and causative correlation of diabetes and stroke directs the involvement of diabetes in CCS. Nevertheless, the role of diabetes and its corresponding molecular mechanisms in CCS have not been clarified. Here we conclude the features of CCS and the potential role of diabetes in CCS. Diabetes drives establish a “primed” inflammatory microenvironment and further induces severe systemic inflammation after stroke. The boosted inflammation is suspected to provoke cardiac pathological changes and hence exacerbate CCS. Importantly, as the key element of inflammation, NOD-like receptor pyrin domain containing 3 (NLRP3) inflammasome is indicated to play an important role in diabetes, stroke, and the sequential CCS. Overall, we characterize the corresponding role of diabetes in CCS and speculate a link of NLRP3 inflammasome between them.