Miracle-dz/UniFAR-FTUs huggingface dataset:
Influencing Factors of Property Use Conversion and Residential Properties Rental Value Trend in Ikeja, Nigeria

The paper determines the influence of property use conversions on residential property rental value performances in Ikeja, Nigeria. Previous studies have shown that a multiplicity of use conversion characterizes Nigeria urban centres, hence, threatening the cordial relationship among the property market participants, rental value performances, distorting city aesthetic and morphology. The rapidity of this trend is alarming, thus call for the urgent attention of land/city managers, spatial planner, government and other stakeholders to address its attendant problems. Quantitative data, using questionnaire survey, were collected and used for the study. The influence of property use conversion factors on residential property rental value performances in the study area was determined using a predictive model. Findings of the study show that about 67% of use conversion activities in Ikeja can be explained through the fusions of the conversion factors in the predictive model with 96% influence on residential property rental values. It was further observed that there exist increasing cases of default in rent payment due to the conversion activities and intensive competition for property uses especially properties with locational advantages. The paper advocates for strict implementation of all relevant sections of urban property use related laws in the state to ensure compliance with existing laws and appropriate monitoring of property development and uses that will help in the achievement of sustainable city development and liveability in the post pandemic era.
Correlation on Population Dynamics and Disease Incidence Of Bacterial Wilt Instigating Pathogen (Ralstonia Solanacearum) Under Different Intercropping System

Ginger (Zingiber officinale Rose) is one of the important spice crops grown organically in the hill zone of West Bengal. Among the various diseases that cause constrains to the organic ginger production Ralstonia solanacearum causes serious threats to the ginger growers. An experiment was conducted to study the influence of different intercropping patterns on yield, population dynamics, and disease incidence of R. solanacearumin ginger crop under organic management practice. Observation on population dynamics of R. solanacearum under different intercropping patterns revealed that the marigold when intercropped with ginger had a maximum influence on population build-up during 2019 and 2020. Also, it has the potentialities to reduce the population load thereby reducing the disease incidence and increasing the rhizome yield. Therefore, marigold can be incorporated as an intercrop in organic ginger cultivation for reducing the bacterial wilt disease. Bangladesh J. Bot. 51(4): 807-812, 2022 (December)
FACTOR AFFECTING CAN THO RESIDENTS’ INTENTION TO VISIT DALAT IN THE COVID-19 ERA

The paper examines the factors affecting the intentions of Can Tho residents to travel to Dalat as the COVID-19 pandemic is gradually brought under control. The data were collected from a survey of 213 Can Tho residents and analyzed with Cronbach’s alpha, exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. The results show that the intentions of Can Tho residents to travel to Dalat depend on four factors: (1) attitude toward Dalat tourism, (2) subjective norms, (3) perceived behavioral controls, and (4) perceived health risk. In particular, the attitudinal factor significantly influences Dalat travel intentions. Based on the research results, the article proposes four recommendations for managers, corresponding to the four influencing factors, to increase the intentions of Can Tho residents to travel to Dalat in the COVID-19 era.
The Distribution of the Latent Roots of the Covariance Matrix

1. Summary. The distribution of the latent roots of the covariance matrix calculated from a sample from a normal multivariate population, was found by Fisher [3], Hsu [6] and Roy t10] for the special, but important case when the population covariance matrix is a scalar matrix, 2 = or2I. By use of the representation theory of the linear group, we are able to obtain the general distribution for arbitrary 2. 2. An integral expression for the distribution. Suppose the sample consists of N observations from a normal k-variate population with covariance matrix Z. After the usual orthogonal transformation to eliminate the sample means, we have a k X n matrix X, n = N - 1,
Impacts of modern technologies while identifying and unleashing intrapreneurs' potential

The scientific literature on intrapreneurship still has many areas for deeper investigation. In recent years, there has been an increasingly growing interest in intrapreneurship: companies came to an understanding of the importance of innovativeness and found new business models triggering innovative growth, along with the possibilities for the creation of new products or services. Intrapreneurs were described by Pinchot (1985) as people who focus on innovation and creativity, turning creative ideas into profitable businesses within an organisational environment, while modern technologies are a great medium to identify and unleash intrapreneurs' potential. The purpose of the present paper is to examine how modern technologies can help promote the intrapreneurial culture in companies which could lead to sustainable competitive advantages. To answer the research question 'How to unleash the potential of modern technologies while enhancing intrapreneurial activities', the literature review and case studies were conducted based on qualitative semi-structured expert interviews.
A Neural Network Framework for Validating Information–Theoretics Parameters in the Applications of Acoustic Emission Technique for Mechanical Characterization of Materials

A multiparameter approach is preferred while utilizing Acoustic Emission (AE) technique for mechanical characterization of composite materials. It is essential to utilize a statistical parameter, which is independent of the sensor characteristics, for this purpose. Thus, a new information–theoretics parameter, Lempel–Ziv (LZ) complexity, is used in this research work for mechanical characterization of Carbon Fibre Reinforced Plastic (CFRP) composites. CFRP specimens in plain weave fabric configurations were tested and the acoustic activity during the loading was recorded. The AE signals were classified based on their peak amplitudes, counts, and LZ complexity indices using k-means++ data clustering algorithm. The clustered data were compared with the mechanical results of the tensile tests on CFRP specimens. The results show that the clustered data are capable of identifying critical regions of failure. The LZ complexity indices of the AE signal can be used as an AE descriptor for mechanical characterization. This is validated by studying the clustered signals in their time–frequency domain using wavelet transform. Finally, a neural network framework based on SqueezeNet was trained using the wavelet scalograms for a quantitative validation of the data clustering approach proposed in this research work. The results show that the proposed method functions at an efficiency of more than 85% for three out of four clustered data. This validates the application of LZ complexity as an AE descriptor for AE signal data analysis.
Using a Scale-Selective Filter for Dynamical Downscaling with the Conformal Cubic Atmospheric Model

Abstract This article examines dynamical downscaling with a scale-selective filter in the Conformal Cubic Atmospheric Model (CCAM). In this study, 1D and 2D scale-selective filters have been implemented using a convolution-based scheme, since a convolution can be readily evaluated in terms of CCAM’s native conformal cubic coordinates. The downscaling accuracy of 1D and 2D scale-selective filters is evaluated after downscaling NCEP Global Forecast System analyses for 2006 from 200-km resolution to 60-km resolution over Australia. The 1D scale-selective filter scheme was found to downscale the analyses with similar accuracy to a 2D filter but required significantly fewer computations. The 1D and 2D scale-selective filters were also found to downscale the analyses more accurately than a far-field nudging scheme (i.e., analogous to a boundary-value nudging approach). It is concluded that when the model is required to reproduce the host model behavior above a specified length scale then the use of an appropria.
Triboelectric Nanogenerators (TENGs) Based on Various Flexible Polymeric Materials Along With Printed and Non-Printed Electrodes

Four designs (D1–D4) of flexible triboelectric nanogenerators (TENGs) were successfully fabricated in three different configurations for energy harvesting applications. Typically, TENG consists of anode layer, cathode layer, and electrodes. Combination of materials were investigated in this study using polyethylene terephthalate (PET), thermoplastic polyurethane (TPU) and a flexible fabric as top triboelectric (cathode) layers; Kapton and polydimethylsiloxane (PDMS) as bottom triboelectric (anode) layers. Copper (Cu) tape and screen-printed silver (Ag) were used as electrodes. Each of these designs (D1–D4) has three configurations C1–C3 in which the top substrate (cathode layer) was different from one configuration to other. In order to determine the best material combination that would provide better TENG performance, different configurations were considered. The capability of the TENGs in terms of open circuit voltage (<inline-formula> <tex-math notation="LaTeX">$V_{\mathrm {oc}}$ </tex-math></inline-formula>) and short circuit current (<inline-formula> <tex-math notation="LaTeX">$I_{\mathrm {sc}}$ </tex-math></inline-formula>) were demonstrated by subjecting them to <inline-formula> <tex-math notation="LaTeX">$\sim 5$ </tex-math></inline-formula>–6 N force at 10 Hz operating frequency. A maximum <inline-formula> <tex-math notation="LaTeX">$V_{\mathrm {oc}}$ </tex-math></inline-formula> of 21.61 ± 2.27, 35.32 ± 0.89, 31.21 ± 1.43, and 45.75 ± <inline-formula> <tex-math notation="LaTeX">$5.09~V_{\mathrm {pp}}$ </tex-math></inline-formula> resulted in a power density of 0.29, 1.12, 0.47, and <inline-formula> <tex-math notation="LaTeX">$0.91~\mu \text{W}$ </tex-math></inline-formula>/cm<sup>2</sup> from the D1–D4 designs, respectively. The TENG fabricated using screen printed Ag flake on PDMS and fabric (D4) exhibited the highest open circuit output and a good repeatability after six months of re-testing with a maximum difference of ~7.39% change (<inline-formula> <tex-math notation="LaTeX">$\Delta V /V)$ </tex-math></inline-formula> in the output signal. In addition, a cyclic test was performed on D4, the results obtained demonstrate a good durability of the TENG sensor over 1000 cycles. The fabricated TENG device has a simple design, compact size, and demonstrated a better performance in comparison with some of the other works in terms of output voltage.
Diabetes-Related Lower Extremity Amputations in Romania: Patterns and Changes between 2015 and 2019

Lower extremity amputations (LEAs) are a feared complication of diabetes mellitus (DM). Here we evaluated the recent trends in DM-related LEAs in Romania. We collected data from a national database regarding minor and major LEAs performed between 2015 and 2019 in patients with DM admitted to a public hospital. Absolute numbers of LEAs were presented by year, diabetes type, sex and age; incidence rates of LEAs in the general population were also calculated. Over the study period, 40,499 LEAs were recorded nationwide (83.16% in persons with type 2 DM [T2DM]); on average, the number of LEAs increased by 5.7%/year. This trend was driven by an increased number of LEAs in patients with T2DM; in patients with type 1 DM (T1DM), LEAs decreased over the study period. In patients with T2DM, the increase in minor LEAs was more pronounced than that in major LEAs. The overall number of LEAs showed an increasing trend with age (r = 0.72), which was most pronounced in patients aged ≥70 years. Men had a higher frequency of LEAs than women, regardless of DM type. These data support renewed efforts to prevent and decrease the burden of amputations among patients with DM.
Therapeutic Potency of Ovothiol A on Ethanol-Induced Gastric Ulcers in Wistar Rats

Peptic ulcer is a widespread disease, with a lifetime frequency of 5–10% among the general population and an annual incidence of 0.1–0.3%. Ovothiol A is naturally produced from sea urchin eggs with special antioxidant activity. Gastric ulcers were induced in rats by a single ethanol dose (5 mL/kg). The rats were divided into control, ulcer, and ulcer with 250 and 500 mg/kg ovothiol A doses. Molecular docking studies were used to examine the interactions between ovothiol A and the H+/K+ ATPase active site residues. Ovothiol A led to a significant decline (p < 0.05) in gastric juice volume, ulcer index, MDA, IL-6, and cytochrome c, while levels of gastric juice pH, GSH, CAT, GST, SOD, and NO increased. Histopathological investigation of stomach sections revealed architecture preservation of the gastric mucosa after ovothiol A administration. The anti-ulcerogenic activity of ovothiol A includes scavenging free radicals, inhibition of inflammation, regulation of apoptosis, and stabilization of fibroblast growth factors to promote gastric ulcers healing.
Multiple Graph Affinity Interactive Network and a Variable Illumination Dataset for RGBT Image Salient Object Detection

Salient object detection (SOD) of images refers to simulating the attention mechanism of human vision to capture the most attractive objects in an image. Current SOD mainly relies on RGB images captured by optical cameras. However, existing optical cameras are not comparable to the human visual system, especially in poorly illumination scenes. Our human visual system is able to resolve scenes well in low light conditions, while optical cameras can barely image without enough illumination. To make machine vision closer to the imaging of the human eye, we propose to use thermal infrared (T) images to compensate RGB images and build a variable illumination RGBT dataset named VI-RGBT1500 for SOD. This dataset is collected under three different illumination conditions including sufficient illumination, uneven illumination and insufficient illumination to fully demonstrate the superiority of the RGBT image combination. Furthermore, we propose a multiple graph affinity interactive (MGAI) network to validate the proposed dataset. Our network structure is simple using only the MGAI to fuse the features of different modalities. Meanwhile, the MGAI model highlights valuable information during the interaction, which facilitates feature representation under variable illumination. The proposed VI-RGBT1500 dataset and three publicly available RGBT SOD datasets are used for the comparison experiments, and the results with the state-of-the-art methods prove that our VI-RGBT1500 dataset is valuable and the performance of the MGAI network is competitive. The VI-RGBT1500 dataset and the MGAI network are available at: https://github.com/huanglm-me/VI-RGBT1500.
GROWTH KINETICS AND MORPHOLOGY OF HIGH QUALITY ALN GROWN ON SI(111) BY PLASMA-ASSISTED MOLECULAR BEAM EPITAXY

AlN layers were grown on Si(111) substrates by plasma-assisted molecular beam epitaxy. Crystal quality was assessed by atomic force microscopy and high resolution x-ray diffraction. The III/V ratio and the growth temperature, rather than thickness and growth rate, are found to be critical parameters to achieve good quality AlN layers. III/V ratios close to stoichiometry, and high growth temperatures (⩾900 °C) lead to optimal AlN layers. The growth rate is barely modified when growth temperature changes from 780 to 920 °C, but the growth mode and surface roughness are strongly affected. Optimal AlN layers have full-widths at half-maximum values of 10 arcmin, and an average surface roughness of 48 A.
Nonparametric roughness penalties for probability densities

Given a number of observations xlt . ,xN, a nonparametric method is suggested for estimating the entire probability density curve. The method is to subtract a roughness penalty from the log likelihood, where the roughness penalty is a certain functional of the assumed density function / . Those used are linear combinations of J y' dx and J y" dx, where y = *]f. The method appears to be consistent under wide conditions, although consistent methods can be rough. Numerical examples are given and show that for certain values of the coefficients in this linear expression the density function turns out to be very smooth even when N is small. Multivariate extensions are proposed, including one to distributions having some continuous and some discrete components, but numerical examples of these have not been tried. Some of the techniques are borrowed from quantum mechanics and tensor calculus. 1. INTBODUOTION A fundamental problem in statistics is the estimation of a density function from a sample of observations. An example of a useful but not very familiar application would be for the estimation of probability densities of discriminant functions. This could beused, for example, for choosing between treatments when a discriminant function is available for success and failure in regard to each treatment. Another kind of application is for deciding whether a bump in the apparent density function is genuinely in the population, or more generally for deciding whether one density function is a better estimate than another one and by how much. According to Orear & Cassel (1971), 'bump hunting' is one of the major current activities of experimental physicists, and they requested aid from statisticians. When a bump is not due to random variation it is usually due to a new elementary particle or resonance. The method of estimating a density function to be discussed in this paper arose from a proposal of Good (1971 a, b) and is here modified, developed further, and exemplified numerically and graphically. A multivariate extension is proposed but no multivariate numerical calculations have yet been done.
Unfulfilled hopes in education for equity: redesigning the mathematics curriculum in a US high school

Mathematics education aimed at empowering students for economic and democratic participation must address two critical issues: the long‐standing function of mathematics as a gatekeeper, and the complicated nature of designing and implementing systematic reform at the school department level. The study reported here examines a curricular redesign implemented by teachers in one US high school department. The department was redesigning its curriculum to remedy high failure rates in targeted courses disproportionately populated by students of colour. Using a case‐study methodology, this study examines the process of curricular redesign and its influence on these students’ access to more advanced mathematics courses. It describes redesigned courses and department characteristics that aided or challenged the redesign process, and discusses the significance of the identified challenges in constructing placement policies that did little to increase students’ likelihood of taking additional, and more advanced‐ level, mathematics courses. The analysis revealed a department that, despite its intentions, implemented a curriculum design which perpetuated inequities. This study discusses the teachers’ expectations of their students and perspectives about the nature of mathematics as a partial explanation for the department’s failure. The resigned curriculum failed to promote mathematics course‐taking because it created more defined tracks with less rigorous courses for students in low‐level courses.
Assessing Local Climate Change by Spatiotemporal Seasonal LST and Six Land Indices, and Their Interrelationships with SUHI and Hot-Spot Dynamics: A Case Study of Prayagraj City, India (1987-2018)

LST has been fluctuating more quickly, resulting in the degradation of the climate and human life on a local–global scale. The main aim of this study is to examine SUHI formation and hotspot identification over Prayagraj city of India using seasonal Landsat imageries of 1987–2018. The interrelationship between six land indices (NDBI, EBBI, NDMI, NDVI, NDWI, and SAVI) and LST (using a mono-window algorithm) was investigated by analyzing correlation coefficients and directional profiling. NDVI dynamics showed that the forested area observed lower LST by 2.25–4.8 °C than the rest of the city landscape. NDBI dynamics showed that the built-up area kept higher LST by 1.8–3.9 °C than the rest of the city landscape (except sand/bare soils). SUHI was intensified in the city center to rural/suburban sites by 0.398–4.016 °C in summer and 0.45–2.24 °C in winter. Getis–Ord Gi* statistics indicated a remarkable loss of areal coverage of very cold, cold, and cool classes in summer and winter. MODIS night-time LST data showed strong SUHI formation at night in summer and winter. This study is expected to assist in unfolding the composition of the landscape for mitigating thermal anomalies and restoring environmental viability.
Lack of evidence that Pseudomonas aeruginosa AmpDh3‐PA0808 constitute a type VI secretion system effector–immunity pair

Type VI secretion systems (T6SSs) are cell envelope‐spanning protein complexes that Gram‐negative bacteria use to inject a diverse arsenal of antibacterial toxins into competitor cells. Recently, Wang et al. reported that the H2‐T6SS of Pseudomonas aeruginosa delivers the peptidoglycan recycling amidase, AmpDh3, into the periplasm of recipient cells where it is proposed to act as a peptidoglycan degrading toxin. They further reported that PA0808, the open reading frame downstream of AmpDh3, encodes an immunity protein that localizes to the periplasm where it binds to and inactivates intercellularly delivered AmpDh3, thus protecting against its toxic activity. Given that AmpDh3 has an established role in cell wall homeostasis and that no precedent exists for cytosolic enzymes moonlighting as T6SS effectors, we attempted to replicate these findings. We found that cells lacking PA0808 are not susceptible to bacterial killing by AmpDh3 and that PA0808 and AmpDh3 do not physically interact in vitro or in vivo. Additionally, we found no evidence that AmpDh3 is exported from cells, including by strains with a constitutively active H2‐T6SS. Finally, subcellular fractionation experiments and a 1.97 Å crystal structure reveal that PA0808 does not contain a canonical signal peptide or localize to the correct cellular compartment to confer protection against a cell wall targeting toxin. Taken together, these results cast doubt on the assertion that AmpDh3‐PA0808 constitutes an H2‐T6SS effector–immunity pair.