Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute Toxicity of Aqueous Methanol on Juvenile Guinean Tilapia (Tilapia guineensis)

This study was conducted to evaluate the acute toxicity of Juvenile Tilapia guineensis exposed to aqueous methanol (Analytical grade). The fishes were obtained from the Nigeria Institute for Oceanography and Marine Research (NIOMR), Buguma, Rivers State, Nigeria. The fishes were acclimated to an aquarium for 14 days. A range-finding test of the toxicity of aqueous analytical methanol was conducted. Based on the preliminary results, a definitive test was conducted at 0ml/l as control (0ml/l), 2.5 ml/l, 5.0ml/l, 10.0ml/l, 15.0ml/l, 20.0ml/l and 25.0ml/l respectively. From the data, the concentration-response curves for fish mortality, the LC50s, and the 95 percent confidence intervals for test organisms at 24hr, 48hr, 72hr, and 96hr in a static system were derived following the standard procedure. The mortality rates increased significantly (p<0.05) with an increase in the concentration of the test chemical. The LC50 values at 24, 48, 72 and 96 hours recorded were 30.361 ml/l, 16.585 ml/l, 7.369 ml/l, and 3.750 ml/l respectively for the aqueous analytical methanol. The LC50 values showed that the test chemical is toxic to the juvenile T. guineensis. Therefore, proper handling and discharge of this chemical into the aquatic environment should be minimized to avoid possible toxic effects on the aquatic life therein.
Effects of multiple CW interferers on carrier synchronization

In this paper the modeling and analysis of the effects of multiple CW interferers on phase locked loop performance is conducted such that the operating vulnerability to jamming, interference or multipath can be accessed. First, in the absence of additive noise and presence of interference within the loop passband, a statistical model is developed which demonstrates the effect of multiple CW interferers on the phase error process. The steady state phase error is characterized statistically through its probability density function and moments. The conditions for keeping locked and the probability that the loop stays locked to the desired carrier frequency are derived for arbitrary loop filter characteristics. A novel outage criterion is established for the satisfactory operation of the loop and outage probabilities are presented for certain operating scenarios. Second, assuming the presence of additive white Gaussian noise, a Fokker Planck analysis is conducted in order to obtain the probability density function, moments and cycle slip rates of the phase error process.
New dynamic subgrid-scale modelling approaches for large eddy simulation and resolved statistical geometry of wall-bounded turbulent shear flow

This dissertation consists of two parts, i.e. dynamic approaches for subgridscale (SGS) stress modelling for large eddy simulation and advanced assessment of the resolved scale motions related to turbulence geometrical statistics and topologies. The numerical simulations are based on turbulent Couette flow. The first part of the dissertation presents four contributions to the development of dynamic SGS models. The conventional integral type dynamic localization SGS model is in the form of a Fredholm integral equation of the second kind. This model is mathematically consistent, but demanding in computational cost. An efficient solution scheme has been developed to solve the integral system for turbulence with homogeneous dimensions. Current approaches to the dynamic two-parameter mixed model (DMM2) are mathematically inconsistent. As a second contribution, the DMM2 has been optimized and a modelling system of two integral equations has been rigorously obtained. The third contribution relates to the development of a novel dynamic localization procedure for the Smagorinsky model using the functional variational method. A sufficient and necessary condition for localization is obtained and a Picard’s integral equation for the model coefficient is deduced. Finally, a new dynamic nonlinear SGS stress model (DNM) based on Speziale’s quadratic constitutive relation [J. Fluid Mech. , 178, p.459, 1987] is proposed. The DNM allows for a nonlinear anisotropic representation of the SGS stress, and exhibits a significant local stability and flexibility in self-calibration. In the second part, the invariant properties of the resolved velocity gradient tensor are studied using recently developed methodologies, i.e. turbulence geometrical statistics and topology. The study is a posteriori based on the proposed DNM, which is different than most of the current a priori approaches based on experimental or DNS databases. The performance of the DNM is further validated in terms of its capability of simulating advanced geometrical and topological features of resolved scale motions. Phenomenological results include, e.g. the positively skewed resolved
EXAMINING FACTORS INFLUENCING PEOPLE’S INTENTION TO STAYCATION DURING COVID-19: AN EXTENDED MODEL OF GOAL-DIRECTED BEHAVIOUR

Purpose – Staycation became a popular alternative to vacation during the pandemic. This study seeks to examine the factors that influence Indonesian tourists’ staycation intention during COVID-19 using an extended model of goal-directed behaviour. Design – A model of goal-directed behaviour incorporates motivation variables, perceptions of COVID, and personal non-pharmaceutical interventions developed to predict people’s staycation intention during COVID-19. Methodology – Purposive sampling was used to determine samples aged above 17, domiciled in Indonesia, and willing to staycation during COVID-19. An online survey produced 534 responses and data were evaluated with PLS-SEM. Approach – A quantitative exploratory study was used to identify how Indonesian tourists intend to staycation during COVID-19. The measurement items were constructed from prior studies to evaluate the model. Findings – The staycation intention during COVID-19 was positively affected by desire, followed by perceived behavioural control, with perception of COVID-19 showing the opposite impact. Attitude plays essential role in influencing staycation intention. However, staycation intention was not associated with personal nonpharmaceutical interventions. Originality of the research – This study provides novel insights into motivational and nonpharmaceutical intervention variables in MGB, which are still underexplored in tourism literature, to assist hospitality and tourism management in optimizing the staycation trend and market during the pandemic
A Note on Combinatorial Derivation

Given an infinite group $G$ and a subset $A$ of $G$ we let $\Delta(A) = {g \in G : |gA \cap A| =\infty}$ (this is sometimes called the combinatorial derivation of $A$). A subset $A$ of $G$ is called large if there exists a finite subset $F$ of $G$ such that $FA=G$. We show that given a large set $X$, and a decomposition $X=A_1 \cup . \cup A_n$, there must exist an $i$ such that $\Delta(A_i)$ is large. This answers a question of Protasov. We also answer a number of related questions of Protasov.
Geochronological Constraints for Boundary Shear Zones between Eastern Ghats Province and Bastar Craton: Implication for the Formation of Granulites and Their Exhumation History

Shear zones in the boundary between Eastern Ghats Province (EGP) and the cratons of Singhbhum in the north and Bastar in the west provide an excel-lent opportunity to study the tectonics of shear zone development and its timing in relation to the evolutionary history of the granulite suites. Detailed structural, microfabric and quartz C-axis patterns revealed a high temperature shear zone, at the western boundary between EGP and Bastar Craton (BC) around Paikmal. Petrological studies in this shear zone indicated decompression coeval with stretching in the sheared granulites. Geochronological constraints provided here indicate rapid exhumation of deep seated granulites in this boundary shear zone; the timing also is late in relation to the long-lived thermal (granulite formation) event in the EGP. Additionally, our geochronological data demonstrated the ~1600 Ma event in the Eastern Ghats Belt (EGB) involving sedimentation, magmatism, metamorphism and crustal anatexis, as a significant world event.
Regularity of Full Order-Preserving Transformation Semigroups on Some Dictionary Posets

For a poset X, let OT (X) be the full order-preserving transformation semigroup on X. The following results are known. If X is any nonempty subset of Z, then OT (X) is a regular semigroup, that is, for every α ∈ OT (X), α = αβα for some β ∈ OT (X). If X is an interval in R, then OT (X) is regular if and only if X is closed and bounded. We deal with the regularity of OT (A×A,≤d) where φ 6= A ⊆ Z and ≤d is the dictionary partial order on A×A. We have that if A is infinite, then the chain (A×A,≤d) is neither order-isomorphic to a subset of Z nor order-isomorphic to an interval in R. Our purpose is to show that OT (A×A,≤d) is regular if and only if A is finite.
Vanadium as a critical material: Economic geology with emphasis on market and the main deposit types

Vanadium is currently considered a critical material in the European Union, the U.S.A. , and other jurisdictions. The vanadium mine production for 2021 is estimated at more than 120 000 tonnes; however, the market base is expected to grow rapidly due to the increase in the use of vanadium for redox flow batteries. Currently, world-wide, many projects are in the advanced stages of exploration and development. In the longer term, should vanadium cease to be a critical material and the law of supply and demand applies, the marginal mines will be decommissioned, and the best deposits will remain economic. Depending on the prevailing regulations in specific jurisdictions, geological settings, and the most up-to-date metallurgical research results, the main vanadium deposit types that could be considered as potential exploration and development targets are the vanadiferous titanomagnetite deposits, sandstone-hosted uranium-vanadium deposits (Salt Wash category), shale-hosted vanadium deposits, and base metal-related vanadate deposits. However, placer deposits, surficial uranium-vanadium type mineralisation, and the Minas Ragra type patrónite deposits should also be considered.
Playing games during pandemic, why not? The IDLE upon students’ efficacy and vocabulary

Advancements in the current era and challenges during the pandemic have given rise to an urgency for education practitioners and academicians to turn to informal learning outside the classroom. This is also the case with learners of English as a Foreign Language (EFL), who need to practise the language on an ongoing basis. For this purpose, they utilise the activity of digital gaming as a form of Informal Digital Learning of English (IDLE). This research examines the self-efficacy in learning English (as affective domain) and vocabulary mastery (as cognitive domain) of students with digital gaming experience within the IDLE framework. This sequential qualitative dominant mixed-method research involved 10 respondents out of 244 students with digital gaming experience. The data were collected by using a questionnaire, interview sessions, and receptive-productive vocabulary tests. The collected data were analysed according to Bandura’s Personal Agency (1989) and Raoofi’s (2012) study on self-efficacy, using descriptive statistics for vocabulary mastery, and Kallio et al.’s (2011) InSoGa model for measuring the degree of digital gaming. It was found that students with a medium and heavy degree of playtime or gaming experience had self-efficacy and good receptive-productive vocabulary mastery. The results also showed that efficacy degrees may vary, and students’ receptive test scores were always higher than or the same as their productive test scores. The findings showed IDLE-digital gaming could sustain in-class teaching through out-of-class learning. Thus, it implies that this research supports the IDLE-digital gaming application within an academic context.
Multitask Residual Shrinkage Convolutional Neural Network for Sleep Apnea Detection Based on Wearable Bracelet Photoplethysmography

Sleep apnea syndrome (SAS) is a common chronic respiratory disorder, which seriously harms human health. In order to realize the large-scale promotion of SAS detection, the SAS detection method based on wearable devices has attracted the attention of some researchers. However, in view of the poor signals collected by wearable devices and the less variation between signals of different classes (normal/SAS), the detection methods in past studies are often unsatisfactory. In this study, a wearable SAS detection method based on 1-D multitask multiattention residual shrinkage convolution neural network (1D-MMResSNet) model and cost-sensitive (CS) classifier was proposed. First, the photoplethysmography (PPG) sleep data of 92 subjects were collected by using wearable smart Bracelet devices. Second, a backbone network composed of the residual multiattention mechanism convolution block and residual shrinkage convolution block was proposed to realize feature selection and feature extraction for pulse rate variability signals. At the same time, the single supervised learning task of the network was improved, and a multitask learning method was proposed to enhance the ability of the network to mine subtle differences between data, thereby effectively learning the discriminative network features. Finally, the AdaCost cost-sensitive algorithm was introduced to alleviate the class imbalance problem in data samples. In segment detection, the accuracy, sensitivity, and specificity were 81.82%, 70.27%, and 85.81%, respectively; In individual detection, the accuracy, sensitivity, and specificity were 95.65%, 88.89%, and 97.30%, respectively. Experimental results show that the proposed model has excellent detection performance and is expected to be embedded in wearable devices.
Central blood gases versus lactate level for assessment of initial resuscitation success in patients with sepsis in critical care

ABSTRACT Background Central blood gas and lactate levels serve as goals for fluid resuscitation. Objective To evaluate the role of blood gases [the ratio of P(v-a)CO2/C(a-v)O2 and P(v-a)CO2)] and lactate clearance as indicators of initial fluid resuscitation in patients diagnosed with sepsis. Study design This study included three groups of patients according to the resuscitation effective predictors. Patients A total of 120 patients were divided into 3 groups, 40 patients in each. Group (A): ratio P(v-a)CO2/C(a-v)O2, group (B):: of Lactate clearance (LC), and group (C): P(v-a)co2. Interventions Variables were measured at the start of ICU arrival (T0) and after 8 hours of resuscitation (T8). Main outcome measures The ratio P(v-a)CO2/C(a-v)O2, difference of P(v-a)co2 and Lactate level and clearance (LC) recorded and calculated, a dose of dobutamine required, packed RBCs, length of stay, mortality, and any recorded complication. Measured at T0 and T8 time points Results In group A, the ratio of P(v-a)CO2/C(a-v)O2 was improved significantly at T8 when compared with values at baseline. Lactate (group B) showed a significantly lower level at T8 than at T0. In group C, the gradient of P(v-a)CO2 did not differ significantly at T8. After 28 days, group C had a higher mortality rate (55% in group C vs 25% in group A and 30% in group B). Conclusion The ratio of P(v-a)CO2/C(a-v)O2 calculation may be as good as, if not better than, lactate as an indicator of initial resuscitation success of patients with sepsis, this can improve the outcome and reduce mortality. Unfortunately, the P(v-a)CO2 gradient alone is not
A Promising New Therapeutic Modality in the Treatment of Recurrent Vulvovaginitis: Ozone therapy

diagnosed in the primary health care. It affects 75% of the women once in their life and 40% of them face with recurrent episodes. The term of recurrent vulvo-vaginitis is considered when the disease repeats four or more times per year. The disease is not easily resolved due to the traditional self-treatment modalities and the most important reason is the extensive abuse of antibiotics, fungicides, and vaginal antiseptics. These factors complicate the disease, rises the antibiotic resistance, and worsen the wonderful complex microecological system of the vagina (1). In healthy women, the vaginal microbiota is dominated by H2O2-producing Lactobacillus which maintains the normal acidic environment of the vagina (2). Any change in this microecological system will cause a variety of vaginal infections. The general conventional treatment with antibiotics also destroys this beneficial bacterial flora leading to a more chronic and complex disease. It is necessary to search new treatment modalities that will effectively solve the problem while protecting the balance and function of the vaginal microecological system (3). Ozone is a trioxygen (O3), highly reactive inorganic gaseous molecule which is known as the third strongest oxidant molecule in the world. Ozone is a natural part of the atmosphere produced by ultraviolet light and a high-pressure diatomic oxygen in the stratosphere layer. It was discovered in the mid-nineteenth century, however its usage as a medical drug is in recent decades (4). It is known as a strong disinfectant with perfect antibacterial, antiviral, antifungal, and anti-parasitic properties. With a stronger oxidant effect, ozone is an important microorganism killer while protecting beneficial microorganisms and healthy tissue (5). It has been shown that the dominance of lactobacillus come back, and normal vaginal environment is rebuilt after vaginal ozone treatment in the vulvovaginitis patients (3). Bocci, a physiologist, has studied ozone for long years and identified this new medical drug as a wonder drug of 21st century (5). Ozone has a key role in the human A Promising New Therapeutic Modality in the Treatment of Recurrent Vulvovaginitis: Ozone therapy
Beurling's theorems and inversion formulas for certain index transforms

The familiar Beurling theorem (an uncertainty principle), which is known for the Fourier transform pairs, has recently been proved by the author for the Kontorovich-Lebedev transform. In this paper analogs of the Beurling theorem are established for certain index transforms with respect to a parameter of the modified Bessel functions. In particular, we treat the generalized Lebedev-Skalskaya transforms, the Lebedev type transforms involving products of the Macdonald functions of different arguments and an index transform with the Nicholson kernel function. We also find inversion formulas for the Lebedev-Skalskaya operators of an arbitrary index and the Nicholson kernel transform.
Measurement of Stark Shift of Potassium D Lines(Atomic and molecular physics)

High-resolution atomic-beam laser spectroscopy has been performed to study the Stark effect of K atoms. A compact electrode apparatus has been developed to produce a stable and strong electric field. The Stark shifts of the D 1 and D 2 lines as well as the splitting of the D 2 line have been measured and found to be proportional to the square of the electric field. The scalar polarizability of the D 1 line and the scalar and tensor polarizabilities of the D 2 line have been determined to be α s (4 p 2 P 1/2 ) -α s (4 s 2 S 1/2 )=81.3±2.4 kHz/(kV/cm) 2 , α s (4 p 2 P 3/2 ) -α s (4 s 2 S 1/2 )=93.0±2.5 kHz/(kV/cm) 2 , and α t (4 p 2 P 3/2 )=-27.6±0.7 kHz/(kV/cm) 2 , respectively, providing a crosscheck of the previously reported values.
Reconceptualizing Civic Perspective-Taking

This study examines how a project-based civics curriculum emphasizing locally relevant issues developed students’ civic perspective-taking by creating discursive spaces for students to make connections with content. The underlying aim of the curriculum was to foster deliberative social studies classrooms by developing students’ civic perspective-taking on local issues. This article uses thematic analysis of student discussions (i.e., verbal contributions) and writing assessments (i.e., written contributions) to identify and describe the types of connections students made. Our findings show that students made three types of connections with content using the civic perspective-taking framework: (a) realizing thematic connections among the issues to identify larger societal themes, (b) making personal connections to content, and (c) making connections to larger issues as they consider the public good. We found that students engaged in civic thinking in ways new to them, which prompted the research team to update and reconceptualize the framework for civic perspective-taking.
Prognostic Gene Expression-Based Signature in Clear-Cell Renal Cell Carcinoma

Simple Summary In this study, we identified molecular markers for disease progression from ccRCC tissue samples. Using the selected biomarkers and clinical data from the TCGA cohort, we developed a gene expression-based signature which enhances the prognostic prediction of clinicopathological variables and could help to provide personalized disease management. Abstract The inaccuracy of the current prognostic algorithms and the potential changes in the therapeutic management of localized ccRCC demands the development of an improved prognostic model for these patients. To this end, we analyzed whole-transcriptome profiling of 26 tissue samples from progressive and non-progressive ccRCCs using Illumina Hi-seq 4000. Differentially expressed genes (DEG) were intersected with the RNA-sequencing data from the TCGA. The overlapping genes were used for further analysis. A total of 132 genes were found to be prognosis-related genes. LASSO regression enabled the development of the best prognostic six-gene panel. Cox regression analyses were performed to identify independent clinical prognostic parameters to construct a combined nomogram which includes the expression of CERCAM, MIA2, HS6ST2, ONECUT2, SOX12, TMEM132A, pT stage, tumor size and ISUP grade. A risk score generated using this model effectively stratified patients at higher risk of disease progression (HR 10.79; p < 0.001) and cancer-specific death (HR 19.27; p < 0.001). It correlated with the clinicopathological variables, enabling us to discriminate a subset of patients at higher risk of progression within the Stage, Size, Grade and Necrosis score (SSIGN) risk groups, pT and ISUP grade. In summary, a gene expression-based prognostic signature was successfully developed providing a more precise assessment of the individual risk of progression.
Application-Oriented Workload Generation for Transactional Database Performance Evaluation

Generating synthetic workloads is essential and critical to performance evaluation of database systems. When evaluating database performance for a specific application, the similarity between synthetic workloads and real application workloads determines the credibility of the evaluation results. However, it meets a great challenge to catch workload characteristics with respect to a target application considering the complexity of transaction executions. To address this problem, we propose a workload duplicator (Lauca) that can generate synthetic workloads with highly similar performance metrics compared to the real workloads of a specific application. By carefully studying the application-oriented workload generation problem, we present Transaction Logic and Data Access Distribution to characterize workloads of online transaction processing (OLTP) applications, and propose novel generation algorithms to guarantee the high fidelity of synthetic workloads. To the best of our knowledge, Lauca is the first application-oriented transactional workload generator. We conduct extensive experiments based on TPCC, SmallBank and YCSB on both centralized and distributed databases. The experimental results show that Lauca consistently generates high quality synthetic workloads.