Miracle-dz/UniFAR-FTUs huggingface dataset:
INFLUENCE OF LAND USE SYSTEMS ON CARBON STOCK AND STRUCTURAL STABILITY OF A TROPICAL ALFISOL

The study was conducted to investigate the influence of four adjacent land use systems (Arable [A], Pasture [PL], Fallow [FL] and orchard [OL]) on carbon stock and structural stability of a tropical Alfisol in Sudan Savannan agro-ecological zone of Nigeria. The result reveals that carbon stock was statistically higher (P = 0.03) in OL and FL than the other two land use systems. Carbon stock in the soil increased by 5.67t ha -1 in OL relative to FL for over 10 years. But in contrary, a decline in carbon stock of 6.4 t ha -1 and 4.9 t ha -1 was observed relative to FL in AL and PL, respectively. This indicates soil carbon stock in the study area lost rapidly under continuous arable cropping than any other land use systems. Correlation analysis showed that soil carbon stock in the study area was significantly explained by clay (r = 0.71**), silt (r = 0.54*) and sand (r = -0.70**) contents. The structural stability index (SI) did not significantly vary (P = 0.195) among the land use systems were all values fell below less than 5% that indicates structurally degraded condition of the soil due to generally small organic carbon content. The structural stability index was significantly related to pH in KCl 2 , available phosphorus and carbon stock with correlation coefficients (r) of 0.45*, 0.62** and 0.72**, respectively. Therefore, there is a need to adopt proven management practices that enhance and maintain organic carbon content especially in the AL in order to improve productivity and structural stability of the soil vis-à-vis environmental resilience.
EFFECT OF AIRPORT NON-AERONAUTIC INFRASTRUCTURE ON ECONOMIC GROWTH IN NIGERIA: 1986-2020

The study investigated the effect of airport non-aeronautic infrastructure on economic growth in Nigeria covering 1986-2020. Expost-facto research design was adopted to carry out the investigation. The data were collected from secondary source both internal and external which includes Central Bank of Nigeria (CBN), National Bureau of Statistics (NBS), Federal Ministry of Aviation (FMA) and International Civil Aviation Organization (ICAO). Neoclassical Cobb Douglas production model was adopted with modification for the study. The data were subjected to diagnostic test which include unit root, cointegration, before estimating the model. The findings of the study showed that the coefficients of rent and electricity infrastructure (REI) and Tollgate infrastructure (TGI) were statistically significant at P≤0.05 It can be concluded from the result analysis that rent and electricity infrastructure (REI) and Tollgate infrastructure has positive and strong influence on economic growth in Nigeria. The study recommends that Nigerian government and other stakeholders/ key players should ensure to have a proper maintenance culture on the infrastructure and make sure that the equipment is updated to global standard so as to compete with the global community. The study also recommended that professionals in the aviation industry be given free hand without interference in order to effectively and efficient discharge their duty towards enhancing management confidence that would contribute immensely to economic growth in Nigeria.
A RELAXATION THEOREM IN THE SPACE OF FUNCTIONS OF BOUNDED DEFORMATION

We obtain an integral representation for the relaxation, in the space of func- tions of bounded deformation, of the energy Z f(Eu(x))dx with respect to L1-convergence. Here Eu represents the absolutely continuous part of the symmetrized distributional derivative Eu and the function f satisfies linear growth and coercivity conditions.
The Behaviour of Homology in the Localization of Finite Groups

Abstract We show that, for a finite group G and a prime p, the following facts are equivalent: (i) the p-localization homomorphism l: G —> G p induces p-localization on integral homology; (ii) the higher homotopy groups of the Bousfield-Kan Zp -completion of a K(G, 1) vanish; (iii) the group G is p-nilpotent.
CFD simulations of flow and dust dispersion in a realistic urban area

ABSTRACT Fluid flow and dust transportation in a realistic urban residential community under dust storm weather conditions are investigated using computational fluid dynamics (CFD) with a grid resolution of several meters. The dust transportation and concentration distribution are obtained through the Lagrangian-formulated discrete particle model by integrating the particle velocity between certain time intervals. The fluid flow is solved by the realizable model. It is found that the dust transportation and distribution are very closely related to the flow field. The flow field in a real residential community is very complicated. When the building axes are perpendicular to the wind direction, the flows resemble the classic street canyon flow. Places with a low wind speed and high vorticity usually have a high dust concentration. As the wind direction changes, the fluid flow and dust distribution differ from case to case, but the general features are kept. In addition, the building shape and particle-wall interaction conditions have additional effects on the dust distribution, which need further study in the future.
On the Blasius problem

The Blasius problem $f'''+ff''=0$ on $[0,+\infty[$, $f(0)=-a, f'(0)=b, f'(+\infty)=\l$ is exhaustively investigated. In particular the difficult and scarcely studied case $b<0\leq\l$ is analyzed in details, in which the shape and the number of solutions is determined. The method is first to reduce to the Crocco equation $u''=-\frac su$ and then to use an associated autonomous planar vector field. The most useful properties of Crocco solutions appear to be related to canard solutions of a slow fast vector field.
The Economic Impact of Living Cell Tissue Products in Treating Diabetic Foot Ulcers and Venous Leg Ulcers in Patients with Commercial Insurance: A Retrospective Matched-Cohort Study

ABSTRACT OBJECTIVE Previous studies demonstrated that costs paid on behalf of Medicare recipients for diabetic foot ulcers and venous leg ulcers treated with cellular and/or tissue-based products (CTPs) varied in part based on the CTP chosen. This study extends previous work to determine how costs vary when paid by commercial insurance carriers. METHODS A retrospective matched-cohort intent-to-treat design was used to analyze commercial insurance claims data between January 2010 and June 2018. Study participants were matched using Charlson Comorbidity Index, age, sex, type of wound, and geographic location within the US. Patients treated with a bilayered living cell construct (BLCC), dermal skin substitute (DSS), or cryopreserved human skin (CHSA) were included. RESULTS Wound-related costs and number of CTP applications were significantly lower for CHSA relative to BLCC and DSS at all time intervals (60, 90, and 180 days and 1 year after first application of the CTP). Further, CHSA was associated with significantly fewer amputations at 1 year relative to DSS (14.9% vs 19.7%, P = .03). CONCLUSIONS There was a statistically significant reduction in cost of treating diabetic foot ulcers (BLCC, DSS, CHSA) and venous leg ulcers (BLCC, CHSA) with CHSA as compared with the other CTPs. These findings are attributed to fewer applications, lower wound care costs, and comparable or reduced incidence of amputation. These commercial insurance data are consistent with prior studies that examined Medicare expenditures.
Determination of Nurses’ Knowledge Levels on Skin Tears: A Cross-sectional Study

ABSTRACT OBJECTIVE To determine nurses’ knowledge level about skin tears (STs). METHODS This cross-sectional study included 346 nurses working in acute care hospitals in Turkey who completed web- or paper-based surveys in September and October 2021. Researchers used the Skin Tear Knowledge Assessment Instrument, which consists of 20 questions across six domains, to assess nurses’ level of ST knowledge. RESULTS The mean age of the nurses was 33.67 (SD, 8.88) years, 80.6% were women, and 73.7% had an undergraduate degree. Nurses’ mean number of correct answers on the Skin Tear Knowledge Assessment Instrument was 9.33 (SD, 2.83) of 20 (46.66% [SD, 14.14%]). The mean numbers of correct answers by domain were as follows: etiology, 1.34 (SD, 0.84) of 3; classification and observation, 2.21 (SD, 1.00) of 4; risk assessment, 1.01 (SD, 0.68) of 2; prevention, 2.68 (SD, 1.23) of 6; treatment, 1.66 (SD, 1.05) of 4; and specific patient groups, 0.74 (SD, 0.44) of 1. Significant associations were found among the nurses’ ST knowledge scores and whether they had graduated from a nursing program (P = .005), their working years (P = .002), their working unit (P < .001), and whether they provided care to patients with STs (P = .027). CONCLUSIONS Nurses’ level of knowledge of the etiology, classification, risk assessment, prevention, and treatment of STs was low. The authors recommend including more information about STs in basic nursing education, in-service training, and certificate programs to increase nurses’ ST knowledge.
Accelerating Constrained SIRTwith Applications in Tomographic Particle Image Reconstruction

We investigate a constrained version of simultaneous iterative reconstruction techniques(SIRT) from the general viewpoint of projected gradient methods. This connection enable us to assess the computational merit of this algorithm class. We borrow a leaf from numerical optimization to cope with the slow convergence of projected gradient methods and propose an acceleration procedure based on the spectral gradient choice of steplength as in [2] and a nonmonotone strategy [17,4]. We compare these schemes and present numerical experiments on some algebraic image reconstruction models with sparsity constraints, with particular attention to tomographic particle image reconstruction. The performance of both constrained SIRT and nonmonotone spectral projected gradient approach is illustrated for several constraining strategies.
What ChatGPT means for universities: Perceptions of scholars and students

This study investigates the implications of ChatGPT, an AI-powered language model, for students and universities by examining the perceptions of scholars and students. The responses of seven scholars and 14 PhD students from four countries – Turkey, Sweden, Canada and Australia – are analysed using a thematic content analysis approach. Nine key themes emerge from the findings. According to their frequency of recurrence, these themes are: “Evolution of learning and education systems”, “changing role of educators”, “impact on assessment and evaluation”, “ethical and social considerations”, “future of work and employability”, “personalized learning”, “digital literacy and AI integration”, “AI as an extension of the human brain”, and “importance of human characteristics”. The potential benefits of AI in education as well as the challenges and barriers that may arise from its integration are discussed in the context of existing literature. Based on these findings, suggestions for future research include further exploration of the ethical implications of AI for education, the development of strategies to manage privacy concerns, and the investigation of how educational institutions can best prepare for the integration of AI technologies. The paper concludes by emphasizing the importance of understanding the potential opportunities and challenges associated with AI in higher education and the need for continued research in this area.
Growth of solutions of second order linear differential equations with extremal functions for Denjoy's conjecture as coefficients

The classical problem of finding conditions on the entire coefficients $A(z)$ and $B(z)$ guaranteeing that all nontrivial solutions of $f''+A(z)f'+B(z)f=0$ are of infinite order is discussed. Some such conditions which involve deficient value, Borel exceptional value and extremal functions for Denjoy's conjecture are obtained.
Three Modal Verbs

We describe and compare the historical development and the current properties of German brauchen, Dutch hoeven and English need . Etymologically unrelated, these verbs have all developed from content verbs into auxiliary verbs, or have at least acquired the possibility to be used as auxiliaries. In this development, the three verbs acquired a special sensitivity to negative contexts. We argue that there exists a direct relationship between the grammaticalization of the verbs and their becoming negative polarity items.
Impact of Light and Dark Treatment on Phenylpropanoid Pathway Genes, Primary and Secondary Metabolites in Agastache rugosa Transgenic Hairy Root Cultures by Overexpressing Arabidopsis Transcription Factor AtMYB12

Agastache rugosa, otherwise called Korean mint, has a wide range of medicinal benefits. In addition, it is a rich source of several medicinally valuable compounds such as acacetin, tilianin, and some phenolic compounds. The present study aimed to investigate how the Tartary buckwheat transcription factor AtMYB12 increased the primary and secondary metabolites in Korean mint hairy roots cultured under light and dark conditions. A total of 50 metabolites were detected by using high-performance liquid chromatography (HPLC) and gas chromatography–time-of-flight mass spectrometry (GC-TOFMS). The result showed that the AtMYB12 transcription factor upregulated the phenylpropanoid biosynthesis pathway genes, which leads to the highest accumulation of primary and secondary metabolites in the AtMYB12-overexpressing hairy root lines (transgenic) than that of the GUS-overexpressing hairy root line (control) when grown under the light and dark conditions. However, when the transgenic hairy root lines were grown under dark conditions, the phenolic and flavone content was not significantly different from that of the control hairy root lines. Similarly, the heat map and hierarchical clustering analysis (HCA) result showed that most of the metabolites were significantly abundant in the transgenic hairy root cultures grown under light conditions. Principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) showed that the identified metabolites were separated far based on the primary and secondary metabolite contents present in the control and transgenic hairy root lines grown under light and dark conditions. Metabolic pathway analysis of the detected metabolites showed 54 pathways were identified, among these 30 were found to be affected. From these results, the AtMYB12 transcription factor activity might be light-responsive in the transgenic hairy root cultures, triggering the activation of the primary and secondary metabolic pathways in Korean mint.
Psychometric Properties of the Multidimensional Assessment of Interoceptive Awareness (MAIA) Questionnaire in Colombian University Students

Introduction: The university student population is influenced by multiple factors that affect body awareness. Identifying the body awareness status of students is crucial in creating self-care and emotion management programs to prevent diseases and promote health. The Multidimensional Assessment of Interoceptive Awareness (MAIA) questionnaire evaluates interoceptive body awareness in eight dimensions through 32 questions. It is one of the few tools that enable a comprehensive assessment of interoceptive body awareness by involving eight dimensions of analysis. Method: The objective of this study is to present the psychometric properties of the Multidimensional Assessment of Interoceptive Awareness (MAIA) to observe to what extent the hypothesized model fits the population of university students in Colombia. A descriptive cross-sectional study was conducted with 202 students who met the inclusion criterion of being undergraduate university students. Data were collected in May 2022. Results: A descriptive analysis of the sociodemographic variables of age, gender, city, marital status, discipline, and history of chronic diseases was performed. JASP 0.16. 4.0 statistical software was used to conduct confirmatory factor analysis. A confirmatory factor analysis was performed based on the proposed eight-factor model of the original MAIA, giving a significant p-value and 95% confidence interval. However, when performing loading factor analysis, a low p-value was found for item 6 of the Not Distracting factor, and for the entire Not Worrying factor. Discussion: A seven-factor model with modifications is proposed. Conclusions: The results of this study confirmed the validity and reliability of the MAIA in the Colombian university student population.
A Wireless Low-Power Single-Unit Wearable System for Continuous Early Warning Score Calculation

In this work, we present a new device to monitor the five main vital parameters of hospitalized patients: heart rate (HR), respiratory rate (RR), blood oxygen saturation, blood pressure (BP), and temperature. The device consists of one single unit placed on the chest with two electrodes connected to the patient. The device continuously acquires the electrocardiogram (ECG), three-wavelength photoplethysmogram (PPG), bioimpedance, body temperature, and three-axis acceleration. These raw data are securely sent via a Wi-Fi access point to a local server where algorithms are running to calculate the five vital parameters, combined with the level of activity and the posture. Alarms, live stream, and a real-time estimation of the early warning score (EWS) used to assess the instantaneous state of a patient are available to nurses to react quickly and adequately if needed. Due to its small form factor and weight, the device is worn unobtrusively by the patient who can move without being restrained by wires; a small battery ensures an autonomy of a few days. In this article, the firmware and hardware architectures are detailed comprising the list of the sensors, the main chips used, and the casing. The relationships between what the sensors measure and the vital parameters of interest are discussed.
An Updated Review on the Multifaceted Therapeutic Potential of Calendula officinalis L.

Calendula officinalis Linn. (CO) is a popular medicinal plant from the plant kingdom’s Asteraceae family that has been used for millennia. This plant contains flavonoids, triterpenoids, glycosides, saponins, carotenoids, volatile oil, amino acids, steroids, sterols, and quinines. These chemical constituents confer multifaceted biological effects such as anti-inflammatory, anti-cancer, antihelminthic, antidiabetes, wound healing, hepatoprotective, and antioxidant activities. Additionally, it is employed in cases of certain burns and gastrointestinal, gynecological, ocular, and skin conditions. In this review, we have discussed recent research from the last five years on the therapeutic applications of CO and emphasized its myriad capabilities as a traditional medicine. We have also elucidated CO’s molecular mechanisms and recent clinical studies. Overall, this review intends to summarize, fill in the gaps in the existing research, and provide a wealth of possibilities for researchers working to validate traditional claims and advance the safe and effective use of CO in treating various ailments.
Evaluation of CD133 expression rate in colon cancers with immunohistochemistry method and its relationship with colon cancer prognosis

Introduction: Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer-related death, worldwide. Objectives: This study aimed to evaluate the CD133 expression rate in colon cancers and determine its relationship with colon cancer prognosis. Patients and Methods: This cross-sectional study was conducted in AL-Zahra hospital in Isfahan from April 2008 to April 2014 on 80 patients with CRC. In this study demographic profile such as age and gender, clinicopathologic profile including tumor grade, size, stage, metastasis, 5-year survival and their relation with CD133 expression in form of diffuse, weakly and negative were investigated. Results: From the 80 investigated patients, 47 (58.8%) were male and rest were female. The most common type of CD133 was diffuse type with the 43.8% of cases. Mean age of patients was 61.4 ±14.12 years. This study showed a significant difference between type of CD133 in regards of tumour size (from 23.11 mm in negative cases to 38.85 in weakly cases, P = 0.047). Moreover, the 5-year survival in the three groups of CD133 were significantly different (from 22.54 months in diffuse to 34.42 months in negative cases, P = 0.025). Conclusion: CD133 may be considered as an important tumor marker and a prognostic and diagnostic marker, as well as a therapeutic approach in patients with CRC.
Digital Game-Based Technology for English Language Learning in Preschools and Primary Schools: A Systematic Analysis

This article aims to provide a systematic review of existing research on the use of digital game-based learning (DGBL) technology for foreign language (English) in preschool and elementary schools. Digital game-based technology enables learning to become more interactive and inspirational, thereby enhancing language acquisition. The authors present a DGBL classification schema with four main components, design principles, language content, pedagogical factors, and feedback mechanisms, as guidelines for designing and implementing DGBL in foreign language learning. This survey classifies and filters 110 published articles from January 2010 to April 2022 based on the proposed DGBL schema adhering to the insertion and omission criteria, from which 50 studies focus on preschool and primary school students between the ages of 2 and 10 years. The findings indicate that DGBL influences motivation, creativity, and problem-solving ability. However, the synthesized literature also reveals challenges and issues in designing and developing DGBL systems based on novel technologies. The findings are fundamental for exploring the game classification schema for designing and implementing game-based learning to augment the trends of DBGL in foreign language learning and identify the possible issues and solutions for DGBL to lessen health concerns and technology challenges. The authors recommend emerging technologies and software engineering processes as possible solutions for continuity in DGBL research by enlightening the significance of evolving technologies such as artificial intelligence, blockchain, deep learning, AR/VR, and development and operations.
Online Series-Parallel Reinforcement-Learning- Based Balancing Control for Reaction Wheel Bicycle Robots on a Curved Pavement

The reaction wheel bicycle robot is a kind of unmanned mobile robot with great potential. However, the control of such bicycle robots on a curved pavement under inaccurate model parameters, model uncertainties and disturbances is challenging due to the lateral instability and underactuated characteristic. Applying conventional control methods to this problem often results in brittle and inaccurate controllers. In this paper, an online serial-parallel combination reinforcement learning with conventional control methods is designed to achieve the path tracking and banlancing control for a reaction wheel bicycle robot on curved pavements. The parallel part of the controller refers to compensating the equilibrium point and the serial part of the controller refers to adjusting the parameters of a sliding mode controller that tracks the target roll equilibrium point. The comparison between the proposed controller and several existing controllers in experimental test built in Matlab Simscape illustrates stronger robustness and better control performances.