Miracle-dz/UniFAR-FTUs huggingface dataset:
Corporate culture as one of the key factors of effective industrial enterprise development

The article is focused on the investigation of the impact the corporate culture makes on industrial enterprise development. It demonstrates that the formation of the corporate culture principles contributes to raising the level of staff involvement, its labor activity performance, maintaining and reproduction of human capital assets of an enterprise. Investments in the development of corporate culture are considered as an alternative to traditional methods of increasing the efficiency of an enterprise in an uncertain economic environment. Corporate culture development, which involves a commitment to raising the level of knowledge, innovativeness and organization, has a positive effect on the performance and efficiency of the entire company, and aids in the regulation of internal labor relations, preventing potential critical situations. The introduction and development of corporate culture, which includes a certain system of values and behaviors, in modern domestic industrial enterprises is becoming a necessity. The application of the principles and values of corporate culture leads to the long-term success of an industrial enterprise.
Are We Planning for Equity?

Abstract Problem, research strategy, and findings Social equity goals are supposed to be prioritized in planning along with economic and environmental goals, yet in practice they are often de-emphasized. We developed a publicly available plan equity evaluation tool to investigate to what extent and in what ways local governments incorporate goals and recommendations that would advance equitable outcomes in their comprehensive plans. Using plan content analysis, we find that most plans do not talk about equity, nor do they include many goals and recommendations that would advance equity. More recent plans, plans in communities with more planning capacity, plans in coastal communities, and plans with strong public participation processes have stronger equity orientations. Limitations of our study include that we had a small sample size of 48 plans in a single state, our coding was partly conducted by volunteers, and our study is limited to plan content and so did not investigate existing conditions or equitable outcomes. Takeaway for practice Plans should make equity a guiding principle. Planning processes need to be multifaceted. Plans should identify vulnerable people and geographic areas and ensure equitable protection from hazards and equitable distribution of amenities. Future land use changes should be more transparent.
Design of an ultra‐wideband coplanar strip‐to‐parallel stripline transition using an analytical model based on conformal mapping

A new design method of an ultra‐wideband coplanar strip (CPS)‐to‐parallel stripline (PSL) transition is presented. The proposed design is based on an analytical transition model obtained by conformal mapping. The proposed transition consists of a CPS‐to‐asymmetric PSL transition and an asymmetric PSL‐to‐PSL transition. The conductor shapes of the transition at top and bottom sides of the substrate are adjusted to obtain the optimal impedance matching and smooth field transformation. For measurements, the proposed transition is designed in a back‐to‐back configuration. To verify the proposed design, two transitions with different substrates are designed and fabricated. The PSL impedance is set at 50 Ω, but the CPS impedances are set at 147 and 120 Ω, respectively. The measured insertion loss of <1 dB and return loss of >10 dB have been obtained for more than 30 and 20 GHz bandwidths, respectively.
The centrality of resourcefulness in explaining wellbeing among financially challenged single mothers

ABSTRACT The present study presents a multivariable model for explaining the contribution of daily hardships on the one hand, and social and personal resources on the other hand, to explaining wellbeing among financially-challenged single mothers in Israel. The research sample included 203 single mothers whose monthly income is lower than the mean income in Israel. Data were collected by structured questionnaires and analyzed by path analysis. The findings revealed that the single mothers’ resourcefulness was related to wellbeing both directly and indirectly. The higher the resourcefulness of the participants, the higher their social support and the lower their experience of daily hardships, which in turn are related to higher wellbeing. Subjective poverty, rather than the objective economic situation, contributes to explaining their wellbeing.
Electrophoretic Deposition of Al/CuO Energetic Materials and Their Heat Release Performance

In this study, Al/CuO energetic materials with high exothermic properties were prepared by electrophoretic deposition of nano-Al and CuO microboxes on Ti sheets. The microstructure and phase composition of Al/CuO energetic materials were characterized by scanning electron microscopy (SEM) and X-ray diffraction (XRD). The electrophoretic deposition behavior of nano-Al and CuO microboxes were systematically investigated, and the electrophoretic deposition process was controlled by diffusion. The differential scanning calorimetry results showed that the maximum heat released by Al/CuO energetic material is 3049 J/g at an equivalent ratio of 3.0. The combustion properties of Al/CuO energetic materials were tested by optical fiber spectra. When the equivalence ratio was 2.25, the intensity of the spectra of Al/CuO energetic materials were the strongest and the lowest color temperature was 2916 K. This work provides a reference for the preparation of highly exothermic Al/CuO energetic materials by electrophoretic deposition.
Securing IoT Devices Using Zero Trust and Blockchain

ABSTRACT The benefits ushered through the use of IoT come with its share of security concerns. IoT networks are heterogeneous and existing network security tools and controls are inadequate for them. The IoT devices and the data transmitted to and from these devices remain exposed to a multitude of threats. In this paper, we review the security concerns involved in the implementation of IoT and propose a framework for security of IoT devices based on Zero Trust and blockchain. A risk-based segmentation of IoT network increases the homogeneity of IoT device attributes and communication protocols. Zero Trust extends the perimeter of trust beyond the IT/OT network. Blockchain improves the device identification and access control capabilities of the IoT network. We support the conceptual framework with a case study on the implementation of IoT security using Zero Trust and blockchain. We provide a risk-scoring method and a five-point recommendation for management of IoT security. Our proposed IoT security framework will help implementors of IoT to overcome existing security concerns and will benefit academic researchers and practitioners alike.
Structure−Property Relationships in Organic−Inorganic Nanomaterials Based on Methacryl−POSS and Dimethacrylate Networks

Dimethacrylate-based networks were modified with well-defined organic−inorganic building blocks, i.e., polyhedral oligomeric silsesquioxanes (POSS). POSS were incorporated in the polymer networks either as dangling chains or as cross-linking points. For this purpose, the POSS functionality was varied. The influence of the structure of the organic substituent of the POSS cage was also investigated. The structure of the POSS-modified networks was determined by WAXS, TEM, and thermomechanical analysis. The POSS as a pendant unit on the network backbone shows a strong tendency toward aggregation and crystallization, depending on the nature of the organic ligands. The POSS−POSS interaction was found to be the main parameter governing the network morphology. However, dynamic mechanical properties remain nearly at the same level as the neat matrix. Multifunctional POSS shows a higher miscibility with the dimethacrylate monomer and disperses very well in the cured network. As expected, the rubbery modulus grows w.
Instance segmentation based method to obtain the phenotypic information of weeds in complex field environments

Background: Weeds pose a critical threat to crop growth. The leaf age and plant centre, which represent the key phenotypic information of weeds, can help understand the morphological structure of weeds, thereby facilitating precise targeted spraying and a reduction in the herbicide usage. However, determining the weed types, leaf age and plant centre under complex field conditions involving variations in the light and plant appearance along with leaf occlusion is challenging. With the advancement in the application of deep learning with computer vision, such approaches can likely overcome these challenges, as demonstrated in other complex agricultural applications.Results: We developed a weed segmentation method based on BlendMask, which could obtain the weed types, leaf age and plant centre under complex field conditions. Mobile devices were used to capture digital images at different angles (front, side, and top views) of certain weeds (Solanum nigrum, Barnyard grass, and Abutilon theophrasti Medicus) in the field. Subsequently, two datasets (with and without data enhancement) were produced and input to the network. Moreover, two backbone networks, ResNet50 and ResNet101, were compared, along with six instance segmentation algorithms, and the instance segmentation results of the model under different angles were evaluated. The results indicated that data enhancement could enhance the model performance. In the case with data enhancement, the F1 value, AP50 and AP70 scores, and mIOU with ResNet101 as the backbone network were 0.9479, 0.720, 0.592, and 0.607, respectively, corresponding to the highest segmentation performance. Furthermore, the top view images of the weeds corresponded to the highest detection accuracy, compared to that for the other two angles.Conclusion: BlendMask can realize accurate segmentation of weeds to obtain the types, leaf age and plant centre of weeds. Data enhancement and use of the weed image corresponding to the top view angle can help enhance the model performance. The dataset and research results can provide guidance to further develop precision agriculture practices.
Inverted Power Rama Distribution with Applications to Life Time Data

In this paper, we introduced the Inverted Power Rama distribution as an extension of the Inverted Rama distribution. This new distribution is capable of modeling real life data with upside down bathtub shape and heavy tails. Mathematical and statistical characteristics such as the quantile function, mode, moments and moment generating function, entropy measure, stochastic ordering and distribution of order statistics have been derived. Furthermore, reliability measures like survival function, hazard function and odds function have been derived. The method of maximum likelihood was used for estimating the parameters of the distribution. To demonstrate the applicability of the distribution, a numerical example was given. Based on the results, the proposed distribution performed better than the competing distributions.
Some calculations on the ethylene molecule

A new treatment of the structure of both planar and twisted forms of ethylene is given. Attention is focused on the unsaturation electrons, to which the method of atoms in molecules is applied. Values are calculated for the location of the N→ V absorption bands, which are in good agreement with the observed spectrum. The twisting frequency is also estimated. The results obtained are uniformly better than those of previous calculations.
Optical Fiber Spool Acoustic Wave Resonances Employing a Mach-Zehnder Interferometer in Vacuum Chamber

The longitudinal, flexural, and torsional modes of acoustical resonances are presented for a long and small thickness cylindrical fiber spool. The fiber spool is built using a monomode optical fiber tightly wound in a helix form around a cylindrical Styropor. The acoustical resonance values are obtained using a Mach Zehnder interferometer with the fiber spool in the long (2 km) arm and a small linewidth laser. To reduce spurious signals, the interferometer was placed inside a vacuum chamber. The measured and theoretical results reasonably agree up to the first fifteen resonant longitudinal modes and for the first five flexural and torsional resonant modes, with a span from 10 Hz up to 200 Hz.
Effects of chlorine based gettering on the electrical properties of rapid thermal oxidation/nitridation dielectric films

Dielectric films have been grown on single‐crystalline silicon substrates with the thickness ranging from 100 to 180 A at various gas and temperature conditions by using a rapid thermal processing that included an independent nitridation step. The film characteristics and their dependence on the additive contents of the hydrogen chloride gas and the processing time have been studied. The additive concentration of the hydrogen chloride gas in the oxidizing atmosphere were changed from 0% to 8%. By the addition of the hydrogen chloride gas, the oxidation rates and the initial oxide thickness were significantly increased, but after sequential nitridation processes the thickness of the films was nevertheless a little bit varied within 10 A. The effective refractive index of the dielectric films were slightly changed with the additive contents of hydrogen chloride gas, and increased rapidly after nitridation process. All the samples of the dielectric films show the increased breakdown voltages and decreased av.
Preparation and Characterization of Inclusion Complexes of Poly(Propylene Glycol) with Cyclodextrins

β-Cyclodextrin (β-CD) and γ-cyclodextrin (γ-CD) form inclusion complexes with poly(propylene glycol)s (PPG) of various molecular weights to give stoichiometric compounds in crystalline states. α-Cyclodextrin (α-CD) did not form complexes with PPG of any molecular weight. β- and γ-CD did not form complexes with the low molecular weight analogs, such as propylene glycol, di(propylene glycol), and tri(propylene glycol). The yields of the complexes of β- and γ-CD with PPG increased with increasing molecular weight (MW) of the PPG and reached a maximum at about MW 1000 ; yield decreased with a further increase in the MW. They were isolated and found to be 2 :1 (monomer unit :CD). The complexes were characterized by IR, 1 H NMR, 13 C NMR, 13 C CP/MAS NMR, and 13 C PST/MAS NMR spectra and X-ray (powder), thermal, and elemental analyses. Complex formation of CDs with PPG derivatives has also been studied. The structures of the complexes are discussed. Complex formation of β-CD with atactic and isotactic PPG has been compared.
POST-FIRE HAZARD DETECTION USING ALOS-2 RADAR AND LANDSAT-8 OPTICAL IMAGERY

Abstract. This study investigates the use of Advanced Land Observing Satellite 2 (ALOS-2) equipped with an enhanced L-band SAR sensor imagery alongside with Landsat-8 optical sensor in detection and mapping of burnt and unburnt scars occurring after a bushfire in Victoria, Australia. The bushfires had recently occurred in the period of 2018–2019. The analysis was explored using a contextual classifier Support Vector Machine (SVM), as SVM allows us to integrate spectral information and spatial context through the optimal smoothing parameter without degrading image quality. The training and test set datasets consisting of burnt and unburnt pixels were created from Landsat-8 scenes used as reference data. The backscatter intensity maps (acquired before and after the forest fires) from ALOS-2 data were compared and investigated, with a special concern on topographic influence removal. The dual polarizations (HH and HV) have been used to improve the forest fire mapping capability. These change detection techniques were based on image feature differences, index calculation such as normalized burn ratio. The burnt area and unburnt area were then classified via a threshold given by the pre- and post- disaster differences. The classification result achieved an accuracy of 80% Landsat-8 and 89% ALOS-2. This result shows the limitations of burnt area mapping with ALOS-2 due to effect local incidence angle and topography were of greater impact resulting in shadows. Nevertheless, the results in both areas verify the use of satellite SAR sensors and optical in forestry application.
Sexual dimorphism in age-related changes in the expression of genes involved into regulation of calcium metabolism in aorta and myocardium of rats

Age is the main risk factor for cardiovascular disease development. Understanding of mechanism underlying the vascular and myocardial ageing is necessary both for prevention and for treatment of age-associated diseases. The research aimed to evaluate age-related changes in the transcriptional activity of genes involved in the regulation of Ca2 + signalling – IP3R, RyR, and modulators of their activity CaM and Epac in blood vessels and myocardium of rats of both sexes.Gene expression was evaluated according to the mRNA content of the test protein relative to the β-actin mRNA content. It is proven that rats of both sexes develop unidirectional changes in the expression of genes encoding IP3Rs and RyR2, and different ones in the expression of protein genes modulating their activity – CaM and Epac depending on the sex of animals. In the vessels of old rats (24 months) of both sexes the relative level of mRNA for IP3R type 2 and 3 was reduced and not changed for IP3R1, and significantly increased for RyR2 receptors compared to these indicators in young rats (4 months). In the aorta of old females the relative mRNA content for CaM and Epac1 was reduced and not changed for Epac2. On the contrary, the expression of Epac1 and Epac2 was increased by 67% and 50% respectively compared to similar indicators in young rats (4 months) and rests unchanged for CaM which indicates gender differences in the violation of subtle mechanisms for modulating the activity of RyR2 and IP3Rs in blood vessels. Old rats showed significant changes in myocardium. In older males, the expression of RyR2,IP3R1,2, 3 increases in the left ventricle, RyR2 and IP3R1 – in the left atrium, and RyR2 and IP3R3 – in the right atrium. Unlike males, the mRNA content for RyR2, IP3R1, 2, 3 was significantly lower in the left ventricle of females than in young animals. High levels of IP3R1 and IP3R3 expression were detected in the right atrium of senior females, and IP3R3 expression was detected in the left atrium. The expression of IP3R2 was unchanged in all parts of the female heart. In the myocardium of old rats of both sexes the expression of CaM and Epac2 proteins increased significantly. The revealed age differences in the transcriptional activity of genes involved in the regulation of intracellular Ca2 + signalling at the level of IP3Rs-and RyR2-mediated mechanisms suggest that with the increasing life expectancy males are significantly more likely to develop myocardial hypertrophy and heart rhythm disorders than females.
Dynamics in the polycentric development of Chinese cities, 2001-2016

ABSTRACT This paper presents an analysis of the polycentric development of 286 Chinese cities between 2001 and 2016. We identify each city’s population (sub)centers by detecting spatial autocorrelation patterns within population grids of the LandScan Dataset. The level of polycentricity of cities is reflected by the number of population subcenters and their share within the total center population. Our empirical results suggest that Chinese cities have generally become more polycentric, mainly evidenced by the increasing number of population subcenters in many cities. However, this trend toward polycentricity becomes somewhat less evident when measured by the subcenters’ share of the total center population. Moreover, this evolution toward polycentricity is heterogeneous. The most common pattern has been the development of new subcenters while maintaining a high subcenters’ share of the total center population. The possible mechanisms behind the different evolutions are briefly discussed with reference to topographic conditions, socioeconomic growth, and governmental interventions.
PreNNsem: A Heterogeneous Ensemble Learning Framework for Vulnerability Detection in Software

Automated vulnerability detection is one of the critical issues in the realm of software security. Existing solutions to this problem are mostly based on features that are defined by human experts and directly lead to missed potential vulnerability. Deep learning is an effective method for automating the extraction of vulnerability characteristics. Our paper proposes intelligent and automated vulnerability detection while using deep representation learning and heterogeneous ensemble learning. Firstly, we transform sample data from source code by removing segments that are unrelated to the vulnerability in order to reduce code analysis and improve detection efficiency in our experiments. Secondly, we represent the sample data as real vectors by pre-training on the corpus and maintaining its semantic information. Thirdly, the vectors are fed to a deep learning model to obtain the features of vulnerability. Lastly, we train a heterogeneous ensemble classifier. We analyze the effectiveness and resource consumption of different network models, pre-training methods, classifiers, and vulnerabilities separately in order to evaluate the detection method. We also compare our approach with some well-known vulnerability detection commercial tools and academic methods. The experimental results show that our proposed method provides improvements in false positive rate, false negative rate, precision, recall, and F1 score.
Automatic detection of exudates for grading of macular edema in retinal fundus images

Macular edema is one of the retinal variations from the norm which influence the vision of the individual and prompts visual deficiency torn up pretty bad. In this paper a completely robotized strategy is proposed for the early discovery of macular edema in retinal fundus pictures. At first, the anatomic structures of retinal picture, for example, vessel, optic disc and fovea are identified. At that point the exudates which are available in the fovea part are distinguished for reviewing macular edema. The proposed technique was assessed on the two openly accessible DRIVE and STARE databases.
Promotion effect of nano-SiO2 on hygroscopicity, leaching resistance and thermal stability of bamboo strips treated by nitrogen-phosphorus-boron fire retardants.

Whereas hygroscopicity an leaching resistance often have a bad influence on performance of fire-retardants, in this work, nano-SiO2 sol was added to different nitrogen-phosphorus-boron fire retardants to make four new compounds to impregnate bamboo strips, named: (1) ammonium dihydrogen phosphate + disodium octaborate tetrahydrate (AD), (2) ammonium dihydrogen phosphate + disodium octaborate tetrahydrate + nano-SiO2 sol (ADS), (3) ammonium dihydrogen phosphate + boric acid (AB), and (4) ammonium dihydrogen phosphate + boric acid + nano-SiO2 sol (ABS). After that, the hygroscopicity, leaching resistance and thermal stability were studied by scanning electron microscopy (SEM), energy dispersive X-Ray spectroscopy (EDX), thermogravimetric (TG) and fourier-transform infrared spectrometer (FTIR), and the optimal compound fire retardant is ABS. The results show that the addition of nano-SiO2 sol can not only reduce the hygroscopicity of fire-retardant bamboo strips effectively, but also improve its leaching resistance. The results also indicate that compared with non-fire-retardant bamboo strips, the thermal stability of bamboo strips treated with AB and ABS was improved significantly, and there was no significant difference between AB and ABS.