Miracle-dz/UniFAR-FTUs huggingface dataset:
Bohm's Potential, Classical/Quantum Duality and Repulsive Gravity

We propose the notion of a classical/quantum $duality$ in the gravitational case (it can be extended to other interactions). By this one means $exchanging$ Bohm's quantum potential for the classical potential $ V_Q \leftrightarrow V $ in the stationary quantum Hamilton-Jacobi equation (QHJE) so that $ V_Q + V = - V_0$ ($V_0$ is the ground state energy). Despite that the corresponding Schr\"{o}dinger equations, and their solutions differ, their associated quantum Hamilton-Jacobi equation, and $ground$ state energy remains the $same$. This is how the classical/quantum duality is implemented. In this scenario Bohm's quantum potential (which coincides with the attractive Newtonian potential) is now correlated to a classical $repulsive$ gravitational potential (plus a constant ). These results suggest that there might be a $quantum$ origin to the classical $repulsive$ gravitational behavior (of the accelerated expansion) of the universe which is based on this notion of classical/quantum $duality$.
Lindeberg's method for $\alpha$-stable central limit theorems

This paper is concerned with the Lindeberg's method associated with a (possibly) asymmetric $\alpha$-stable distribution $Y$, in dimension one and $\alpha\in(0,2)$. We use Taylor-like expansion and Dynkin's formula of stable process to extend the Lindeberg's method to the stable central limit theorem and compute the error rate, when the entries are in the domain of normal attraction of a stable law of exponent $\alpha$ and a special case that the entry has a density function with Pareto multiplied by a slowly varying function.
The influence of eco-design, green information systems, green manufacturing, and green purchasing on manufacturing performance

Companies today strive to integrate manufacturing processes with the environment to strike a balance. This study aims to examine the impact of green implementation for companies on the performance of manufacturing companies. Data was collected using Google Forms distributed online to the manufacturing companies domiciled in East Java. The criterion for the companies is that they have been committed to implementing a green approach to the production process, procurement of environmentally friendly raw materials, and green products. The partial least square technique analyzed data from as many as 115 respondents, with the position as senior staff level and higher, who have worked for at least two years and are permanent employees. The results showed that the implementation of eco-design has an impact on green purchasing and green manufacturing. Eco-design and green information systems implemented by the company can improve manufacturing performance by producing adequate overall product quality, and the number of products produced varies according to market demand. Therefore, the green information system affects green manufacturing and purchasing in manufacturing companies. Therefore, green manufacturing and green purchasing can impact manufacturing performance. The research results contribute to practitioners, especially top management, in committing to implementing Green which affects the performance of manufacturing companies. The theoretical contribution of the research is to enrich green supply chain management and sustainable performance for manufacturing companies.
Understanding the Effects of Mindfulness Meditation Combined with Aromatherapy to Enhance the Wellbeing of MCAST Beauty Therapy Students: A Narrative Study

This study looks at the effects of the combined practice of mindful meditation and aromatherapy on the wellbeing of MCAST beauty therapy students, potentially providing resources that can help them deal with various stressors. The researchers use a qualitative narrative inquiry approach to draw meaning and understanding emerging from the participants' experiences. Three MCAST beauty therapy students participated in this study. The research design of this study consists of six stages: the discussion and planning stage between researchers to identify the best course for the research process; a pre-session held with the three participants; weekly mindful meditation sessions for six weeks; individual interviews with each participant, followed by a focus group; and, finally, the development of the analysis of narrative and narrative analysis. To examine the data for the emergent themes, the researchers chose to use thematic narrative analysis as it focuses on the told (Riessman 2008). In this case, the told, emerging from the voice of the participants and reflexivity of the researchers, is what helped identify the common patterns found across the narratives. To facilitate the process, MAXQDA software was used.Mindful meditation was found to enhance ones self-awareness and wellbeing, which in turn positively affects the individuals approach towards ones personal and professional realm. Additionally, the findings indicate that through mindfulness it is possible to achieve academic beneficence as well as enhance ones intrapersonal and interpersonal skills, in turn providing students with the highly demanded twenty-first-century skills needed to distinguish ones professional ability.
Adapting entrepreneurial orientation for business performance of medium-sized business in South-West Nigeria

Entrepreneurial orientation as a concept has gained the attention of scholars over the last decade. It also became interesting to find out its relationship with business performance in South-West Nigeria. This study set out to find out any measure of influence that entrepreneurship as well as entrepreneurial orientation may assert on the performance of medium size businesses, with South-West Nigeria as the sample location. The results showed that pro-activeness (β = 0.145), competitive aggressiveness (β = 0.231), risk-taking (β = 0.087), and autonomy (β = 0.119) all had positive regression coefficients while innovativeness (β = -0.028) had a negative regression coefficient.
ISOLATION, SCREENING AND CHARACTERIZATION OF AMYLASE AND CELLULASE PRODUCING BACTERIAL ISOLATES FROM DIFFERENT SOIL SAMPLES.

* Manthena Navabharath, Soumya, Prajwala, Venkatesh and Manoj. Department of microbiology, vaagdevi degree and pg college, warangal, telangana, india. Manuscript Info Abstract . Manuscript History
The role of the input frequency in L1 Spanish phonological acquisition. A corpus-based study

This study presents the phonological system exhibited by children (n=59) aged 3;0 to 6;0 and focuses on the role of input frequency. Using a spontaneous child speech corpus of Spanish (CHIEDE) as a data source, as well as computational processing techniques -including an automatic phonological transcriber-, data relating to the phonological level was retrieved. This resulted in a phonological inventory of Spanish-speaking children, ordered by frequency of use, which may serve as a model for research on typical and atypical child language development. Additionally, a study was carried out on the stability of the participants’ phonological systems by calculating the variability that the different age groups displayed, and outcomes were compared with other similar corpora. Results obtained from the comparison of the phonological inventory of children and adults show that there is a relationship between frequency of use in adult speech and the order of acquisition of phonemes.
Suppressing unsteady flow in arterio-venous fistulae

Arterio-Venous Fistulae (AVF) are regarded as the “gold standard” method of vascular access for patients with end-stage renal disease who require haemodialysis. However, a large proportion of AVF do not mature, and hence fail, as a result of various pathologies such as Intimal Hyperplasia (IH). Unphysiological flow patterns, including high-frequency flow unsteadiness, associated with the unnatural and often complex geometries of AVF are believed to be implicated in the development of IH. In the present study, we employ a Mesh Adaptive Direct Search optimisation framework, computational fluid dynamics simulations, and a new cost function to design a novel non-planar AVF configuration that can suppress high-frequency unsteady flow. A prototype device for holding an AVF in the optimal configuration is then fabricated, and proof-of-concept is demonstrated in a porcine model. Results constitute the first use of numerical optimisation to design a device for suppressing potentially pathological high-frequency fl.
BURNS IN EPILEPTICS: TEN YEARS EXPERIENCE AT A TERTIARY CARE HOSPITAL.

Mir Mushtaq 1 , Bashir Ahmad Bhat, 1 Omar Farooq 2 , Shabir Iqbal 1 , Refut Ara 1 , Zulqarnain Masoodi 1 and Bhat Mushtaq Ahmad 1 . 1. Department of plastic surgery SHMS hospital Srinagar Jammu and Kashmir India . 2. Department of Neurology SMHS Hospital. Manuscript Info Abstract . Manuscript History
Design optimization of an axial-field eddy-current magnetic coupling based on magneto-thermal analytical model

Abstract This paper presents a design optimization of an axial-flux eddy-current magnetic coupling. The design procedure is based on a torque formula derived from a 3D analytical model and a population algorithm method. The main objective of this paper is to determine the best design in terms of magnets volume in order to transmit a torque between two movers, while ensuring a low slip speed and a good efficiency. The torque formula is very accurate and computationally efficient, and is valid for any slip speed values. Nevertheless, in order to solve more realistic problems, and then, take into account the thermal effects on the torque value, a thermal model based on convection heat transfer coefficients is also established and used in the design optimization procedure. Results show the effectiveness of the proposed methodology.
Performance evaluation of CMIP6 HighResMIP models in simulating precipitation over Madagascar

The present study evaluates the performance of high‐resolution global climate models derived from Coupled Model Intercomparison Project Phase 6 (CMIP6 HighResMIP), in simulating rainfall characteristics over Madagascar on an annual and seasonal scales for the period 1981–2014. The models and their ensemble mean are assessed based on two observational datasets sourced from Climate Hazards Group Infrared Precipitation with Station data version 2 (CHIRPS v2.0) data and the European Centre for Medium‐Range Weather Forecasts (ECMWF) reanalysis fifth generation‐Land dataset (ERA5) as the references throughout the diverse analyses. A Taylor diagram, accompanied by the Taylor skill score (TSS), is used for the annual and seasonal model‐rankings and the overall performance of the models. The best‐performing models are EC‐Earth3P‐HR, ECMWF‐IFS‐HR, ECMWF‐IFS‐LR and HadGEM3‐GC31‐MM. The least‐recommended models with remarkable biases are BCC‐CSM2‐HR, CAMS‐CSM1‐0, FGOALS‐f3‐H, MPI‐ESM1‐2‐HR and MPI‐ESM1‐2‐XR. It is worth mentioning that FGOALS‐f3‐H tends to overestimate rainfall in most analyses, while MPI‐ESM1‐2‐HR and MPI‐ESM1‐2‐XR underestimate it. The findings of this study are of great importance to climatologists and present an opportunity for further investigation of underlying processes responsible for the observed wet/dry biases in order to improve the forecast skills in the models over the study area.
Evaluation of soil and water loss under different soil covers

The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.The current hegemonic agricultural model, which is based on the green revolution, is intrinsically related to environmental and social impacts, such as erosion, desertification, and abandonment of agricultural areas. Thus, the objective of this study was to evaluate the loss of soil and water through runoff during a simulated rainfall event, testing the efficiency of different types of coverings on beds with watermelon crops, inferring that in relation to soil loss, this was greater in uncovered soil. Therefore, it should be observed that this work has applicability in the choice of efficient soil management techniques, to minimize the effects of erosion and, consequently, the environmental impacts as a result of agricultural activities. The results obtained showed a loss equivalent to 72.72% of the total for bare soil, which means a greater sedimentation of the soil, while for soils covered with corn straw and the biodegradable blanket, a loss of 19.70% and 7.58% of the total were observed, respectively. Surface water runoff, with the use of corn straw and the biodegradable blanket, was reduced by 81.22% and 67.42%, respectively. It was concluded that soil cover is effective in controlling water erosion.
Kinetic energy transfer in compressible isotropic turbulence

Kinetic energy transfer in compressible isotropic turbulence is studied using numerical simulations with solenoidal forcing at turbulent Mach numbers ranging from 0.4 to 1.0 and at a Taylor Reynolds number of approximately 250. The pressure dilatation plays an important role in the local conversion between kinetic energy and internal energy, but its net contribution to the average kinetic energy transfer is negligibly small, due to the cancellation between compression and expansion work. The right tail of probability density function (PDF) of the subgrid-scale (SGS) flux of kinetic energy is found to be longer at higher turbulent Mach numbers. With an increase of the turbulent Mach number, compression motions enhance the positive SGS flux, and expansion motions enhance the negative SGS flux. Average of SGS flux conditioned on the filtered velocity divergence is studied by numerical analysis and a heuristic model. The conditional average of SGS flux is shown to be proportional to the square of filtered velocity divergence in strong compression regions for turbulent Mach numbers from 0.6 to 1.0. Moreover, the antiparallel alignment between the large-scale strain and the SGS stress is observed in strong compression regions. The inter-scale transfer of solenoidal and compressible components of kinetic energy is investigated by Helmholtz decomposition. The SGS flux of solenoidal kinetic energy is insensitive to the change of turbulent Mach number, while the SGS flux of compressible kinetic energy increases drastically as the turbulent Mach number becomes larger. The compressible mode persistently absorbs energy from the solenoidal mode through nonlinear advection. The kinetic energy of the compressible mode is transferred from large scales to small scales through the compressible SGS flux, and is dissipated by viscosity at small scales.
ON MAXWELL'S STRESS FUNCTIONS FOR SOLVING THREE DIMENSIONAL ELASTICITY PROBLEMS IN THE THEORY OF ELASTICITY

The governing equations of three dimensional elasticity problems include the six Beltrami-Michell stress compatibility equations, the three differential equations of equilibrium, and the six material constitutive relations; and these are usually solved subject to the boundary conditions. The system of fifteen differential equations is usually difficult to solve, and simplified methods are usually used to achieve a solution. Stress-based formulation and displacement-based formulation methods are two common simplified methods for solving elasticity problems.This work adopted a stress-based formulation for a three dimensional elasticity problem. In this work, the Maxwell's stress functions for solving three dimensional problems of elasticity theory were derived from fundamental principles. It was shown that the three Maxwell stress functions identically satisfy all the three differential equations of static equilibrium when body forces were ignored. It was further shown that the three Maxwell stress functions are solutions to the six Beltrami-Michell stress compatibility equations if the Maxwell stress functions are potential functions. It was also shown that the Airy's stress functions for two dimensional elasticity problems are special cases of the Maxwell stress functions.
Current convective instability in detached divertor plasma

The asymmetry of inner and outer divertors, which cause the inner divertor to detach first, while the outer one is still attached, results in the large temperature difference between the vicinities of inner and outer targets and the onset of large electric potential drop through detached plasma of the inner divertor. A large potential drop along with the inhomogeneity of the resistivity of detached plasma across the divertor leg drives the current convective instability in the inner divertor and subsequent fluctuations of radiation loss similar to that observed in experiments. The estimates of the frequency of plasma parameter fluctuations due to the current convective instability are in a reasonable agreement with experimental data. Once the outer divertor also detaches, the temperature difference between the vicinities of inner and outer targets disappears, and the driving force for the current convective instability, and resulting oscillations of radiation loss, vanishes. This feature is indeed observe.
Robust Biocomposite Film of Polylactic Acid and Ferroferric Oxide as a Radar Absorbing Material

The polymer/ferroferric oxide (Fe3O4) foam and aerogel composites generally exhibit superior radar absorptivity performance. However, these composites have poor mechanical and thermal properties. This study manufactured a polylactic acid (PLA)/Fe3O4 bio-composite and evaluated the radar absorptivity, thermal, and mechanical properties of radar-absorbing material. The composites were prepared using a solvent casting method to mix PLA and Fe3O4 at varying concentrations, followed by evaporation, oven drying, and hot pressing into a film. Thermogravimetric analysis showed that the decomposition temperature of the PLA/Fe3O4-5% composite occurred at around 306 °C, which shifted to a lower decomposition temperature of PLA. The addition of 25 wt. % Fe3O4 improved the tensile modulus of neat PLA from 2.92 to 3.55 GPa. The vector network analyzer demonstrated that the addition of Fe3O4 at 25% improved the reflection loss of PLA from –5.17 to -25.83 dB at a thickness of 3 mm, with energy absorbed by 99.74% at frequency position 10.58 GHz. These results demonstrated that PLA/Fe3O4 composites have great potential in radar-absorbing practical applications.
Dynamic Event-Triggered State Estimation for Discrete-Time Singularly Perturbed Systems With Distributed Time-Delays

This paper is concerned with the state estimation problem for a class of discrete-time singularly perturbed systems with distributed time-delays. During the data transmission through a network channel of limited bandwidth, for the sake of collision avoidance and energy saving, a dynamic event-triggered scheme is employed to schedule the data communication from the sensors to the designed estimator. First, for a given singular perturbation parameter (SPP), by constructing a novel Lyapunov–Krasovskii SPP-dependent functional, sufficient conditions are obtained to guarantee the exponentially mean-square ultimate boundedness of the error dynamics of the state estimation. Furthermore, in the case that the SPP does not exceed a predefined upper bound, a design algorithm is developed for the desired state estimator ensuring that the error dynamics is exponentially mean-square ultimately bounded. In this case, by solving certain matrix inequalities, the estimator gain is characterized without needing to know the exact SPP (as long as it stays below the given upper bound). Moreover, the ultimate bound of the error dynamics is estimated. Finally, simulation results are given to confirm the validity and advantages of the proposed design scheme of the state estimator.
Spontaneous Biloma With a Hepatic Mass

We report a case of an 86-year-old Hispanic male who presented with generalized itching and jaundice. Computed tomography (CT) imaging revealed a hepatic mass and an extensive spontaneous biloma, a condition rarely associated with malignancy. Subsequent biopsy of the mass confirmed moderately differentiated adenocarcinoma of the pancreaticobiliary tract. The patient underwent successful percutaneous drainage of the biloma and was discharged with a plan for further outpatient management. This case study highlights a rare manifestation of spontaneous biloma related to malignancy, broadening the clinical understanding of its association with malignancy, diagnosis, and management.
Automatic detection of microaneurysms using a novel segmentation algorithm based on deep learning techniques

Microaneurysms is the first stage of diabetic retinopathy (DR) and it plays a vital role in the computerized diagnosis. However, it is difficult to automatically detect microaneurysms in fundus images due to the complicated background and various illumination reasons. The motivation behind this, is the number of increases in diabetic patients is very large when compared with the number of ophthalmologists. The FSCA‐UNET (Frequency Spatial Channel Attention UNET) segmentation model, is proposed and it is an improvement over UNET. We first use the frequency channel attention mechanism to analyze the features that were extracted from the first stage of the convolution layer, and we obtain good results. Then, we included a spatial attention map with frequency attention, also known as FSCA‐UNET, which makes use of inter‐spatial connections between features. Our deep neural model with an encoder‐decoder structure termed FSCA‐UNET produced more accurate results. Our novel algorithm outdated the performance measures of the existing segmentation algorithms. The proposed segmentation algorithm was trained and tested on Indian Diabetic Retinopathy Image Dataset (IDRiD), and E‐ophtha Dataset and we got promising results in terms of sensitivity, specificity, dice coefficient, precision, F1 score, and accuracy.