Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports

This study aims to understand the global environment of COVID-19 management and guide future policy directions after the pandemic crisis. To this end, we analyzed a series of the World Economic Forum’s COVID-19 response reports through text mining and network analysis. These reports, written by experts in diverse fields, discuss multidimensional changes in socioeconomic situations, various problems created by those changes, and strategies to respond to national crises. Based on 3897 refined words drawn from a morphological analysis of 26 reports (as of the end of 2020), this study analyzes the frequency of words, the relationships among words, the importance of specific documents, and the connection centrality through text mining. In addition, the network analysis helps develop strategies for a sustainable response to and the management of national crises through identifying clusters of words with similar structural equivalence.
Optoelectronic Enhancement of Ultrathin CuIn1–xGaxSe2 Solar Cells by Nanophotonic Contacts

CuIn1–xGaxSe2 (CIGSe) solar cells have achieved record efficiency values as high as 22.6% for small areas, with module efficiency values of 16.5%. However, for economic viability these values must be achieved with reduced material consumption (especially indium), which requires reducing the CIGSe absorber thickness from 2000–3000 nm to below 500 nm. Soft‐imprinted SiOx nanoparticles (NPs) beneath a conformal CIGSe layer enable this thickness reduction. Optically, they enhance the absorption of light through Fabry–Pérot and waveguided resonances within the CIGSe layer, preventing current loss. For CIGSe solar cells on ITO with an absorber thickness of only 390 nm and a nanophotonic contact the current density (Jsc) increases from 25.7 to 32.1 mA cm−2. At the same time, the nanopatterned contact reduces the back barrier, leading to an increased open‐circuit voltage (518 to 558 mV) and fill factor (50.7% to 55.2%). Combined, these effects increase the efficiency value from 6.8% to 10.0% for this initial demonstration. With the addition of an antireflection coating, the champion NP‐enhanced cell achieves a Jsc of 34.0 mA cm−2, corresponding to 93% of the Jsc achieved by the thick world‐record cell. This result shows that optoelectronic nanopatterning provides a path to high efficiency cells with reduced materials consumption.
CHARACTERISATION OF WHEAT MUTAGEN DEPRESSION AFTER GAMMA-RAYS IRRADIATED

Here we report cytogenetic, plant growth and development characteristics of mutation induction variability of the new wheat varieties and some relationships between means of cytogenetic characteristics and different doses and types of mutagens. The strategy of investigation combined the identification of genotypes carrying specific low-sensitive to mutagen factor using cytological and morphometrical analyzes screening of mutagen treated wheat populations with the approach of comparing different varieties by breeding methods to reveal its connections and differences, specific sensitive to mutagens effects on cell and plant level. The main purposes of investigations in this area were determination of the mutagen-polluted area suitability for agriculture; determination more suitable varieties for planting on mutagen-polluted area or as a object for mutation breeding.
The Transcriptomic Landscape of Mismatch Repair-Deficient Intestinal Stem Cells

The transcriptomic and proteomic profile of MMR-deficient intestinal stem cells displays a unique set of genes with potential roles as biomarkers of cancer initiation and early progression. Lynch syndrome is the most common cause of hereditary colorectal cancer and is secondary to germline alterations in one of four DNA mismatch repair (MMR) genes. Here we aimed to provide novel insights into the initiation of MMR-deficient (MMRd) colorectal carcinogenesis by characterizing the expression profile of MMRd intestinal stem cells (ISC). A tissue-specific MMRd mouse model (Villin-Cre;Msh2LoxP/LoxP) was crossed with a reporter mouse (Lgr5-EGFP-IRES-creERT2) to trace and isolate ISCs (Lgr5+) using flow cytometry. Three different ISC genotypes (Msh2-KO, Msh2-HET, and Msh2-WT) were isolated and processed for mRNA-seq and mass spectrometry, followed by bioinformatic analyses to identify expression signatures of complete MMRd and haplo-insufficiency. These findings were validated using qRT-PCR, IHC, and whole transcriptomic sequencing in mouse tissues, organoids, and a cohort of human samples, including normal colorectal mucosa, premalignant lesions, and early-stage colorectal cancers from patients with Lynch syndrome and patients with familial adenomatous polyposis (FAP) as controls. Msh2-KO ISCs clustered together with differentiated intestinal epithelial cells from all genotypes. Gene-set enrichment analysis indicated inhibition of replication, cell-cycle progression, and the Wnt pathway and activation of epithelial signaling and immune reaction. An expression signature derived from MMRd ISCs successfully distinguished MMRd neoplastic lesions of patients with Lynch syndrome from FAP controls. SPP1 was specifically upregulated in MMRd ISCs and colocalized with LGR5 in Lynch syndrome colorectal premalignant lesions and tumors. These results show that expression signatures of MMRd ISC recapitulate the initial steps of Lynch syndrome carcinogenesis and have the potential to unveil novel biomarkers of early cancer initiation. Significance: The transcriptomic and proteomic profile of MMR-deficient intestinal stem cells displays a unique set of genes with potential roles as biomarkers of cancer initiation and early progression.
Infrared Thermography and Ultrasonography of the Hands in Rheumatoid Arthritis Patients

Ultrasonography (US) and power Doppler US (PDUS) are used worldwide for diagnosing rheumatoid arthritis (RA). Superb microvascular imaging (SMI) is a good tool for evaluating inflammatory activity. Thermal imaging is a noncontact, noninvasive procedure using skin temperature measurement. We report a case wherein the thermal and ultrasound images of the hand are compared and evaluated for inflammatory activity in patients with RA. Case: US imaging of the left hand of a 75-year-old woman with RA revealed a hypoechoic lesion of the left wrist joint. PDUS and SMI evaluated blood flow according to the blood flow at Grade 2. The temperature of the hypoechoic lesion with high blood flow was higher than that of the same location on the opposite side. This study shows that combining thermal and blood flow images may be useful for detecting inflammatory activity levels in RA patients.
Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation

Fuzzy clustering techniques, especially fuzzy C-means (FCM) and its weighted variants, are typical partitive clustering models that are widely used for revealing possible hidden structures in data. Although they can quantitatively depict the overlapping areas with a partition matrix, their performances deteriorate when dealing with high-dimensional data because the distance computations may be negatively impacted by the irrelevant features, and then the concentration effect may arise. Moreover, they are sensitive to noisy environments. To tackle these obstacles, a robust jointly sparse fuzzy clustering method (RJSFC) is proposed in this study. The representative prototypes, sparse membership grades, and an orthogonal projection matrix are simultaneously learnt when optimizing RJSFC. The obtained low-dimensional embeddings can preserve the local neighborhood structure, and the clustering is conducted in the transformed lower dimensional space rather than the original space, which improves the capability of fuzzy clustering for dealing with high-dimensional scenarios. Furthermore, ${L_{2,1}}$-norm is exploited as the basic metric for both loss and regularization parts in RJSFC, the robustness of the model and the interpretability of the extracted features are enhanced. The notions of fuzzy clustering, neighborhood structure preservation, and feature extraction are seamlessly integrated into a unified model. The limitation of the previous two-stage clustering framework when dealing with high-dimensional data entailing dimensionality reduction and clustering procedures separately can be effectively addressed. Extensive experimental results on various well-known datasets demonstrate the usefulness of RJSFC when comparing with some state-of-the-art methods.
The Relationship among Zakat Maal, Altruism and Work Life Quality

The purpose of this study is to analyze the effect of zakat maal expenditure behavior on work altruism and quality. The study was conducted at a higher education institution that practices a strong culture in religious activities. A total of 223 respondents were involved in this study. Data were obtained using a questionnaire and analyzed using the PLSPM of SmartPLS 3.2. 8. The results of this study showed that compliant employees’ payment of zakat maal could increase work altruism and quality of work-life, thereby increasing their performance. The behavior of zakat maal payment in this study is evidenced by the existence of a workplace, that supports the implementation of the obligations of a Muslim, so as to increase their awareness in paying zakat when reaching the nishab. Encouragement from the organization about this matter ultimately increases work altruism which can help improve work productivity and make employees feel they have a better and more balanced work life.
Emergent dynamics of a thermodynamic Cucker-Smale ensemble on complete Riemannian manifolds

We study emergent collective behaviors of a thermodynamic Cucker-Smale (TCS) ensemble on complete smooth Riemannian manifolds. For this, we extend the TCS model on the Euclidean space to a complete smooth Riemannian manifold by adopting the work [ 30 ] for a CS ensemble, and provide a sufficient framework to achieve velocity alignment and thermal equilibrium. Compared to the model proposed in [ 30 ], our model has an extra thermodynamic observable denoted by temperature, which is assumed to be nonidentical for each particle. However, for isothermal case, our model reduces to the previous CS model in [ 30 ] on a manifold in a small velocity regime. As a concrete example, we study emergent dynamics of the TCS model on the unit \begin{document}$ d $\end{document} -sphere \begin{document}$ \mathbb{S}^d $\end{document} . We show that the asymptotic emergent dynamics of the proposed TCS model on the unit \begin{document}$ d $\end{document} -sphere exhibits a dichotomy, either convergence to zero velocity or asymptotic approach toward a common great circle. We also provide several numerical examples illustrating the aforementioned dichotomy on the asymptotic dynamics of the TCS particles on \begin{document}$ \mathbb{S}^2 $\end{document} .
Accuracy and Reliability of Standing Lateral Lumbar Radiographs for Measurements of Spinopelvic Parameters

This study ensures the surgeons that conventional standing lateral lumbar radiograph is an accurate and reliable imaging method for measurements of spinopelvic parameters (pelvic incidence, pelvic tilt, sacral slope, and lumbar lordosis), which is comparable to whole-spine EOS® images. Study Design. Retrospective observational study. Objective. To assess the accuracy and reliability of standing lateral lumbar radiographs for measurements of spinopelvic parameters, compared with whole-spine EOS® images. Summary of Background Data. Lateral lumbar radiographs are commonly used for measurements of spinopelvic parameters. However, variable magnifications by fan-beam x-ray projection at margins may cause measurement errors. Methods. Fifty consecutive patients with standing lateral lumbar radiographs and whole-spine EOS® images were retrospectively reviewed from March to July in 2019. Two orthopedic surgeons (observers) independently measured the spinopelvic parameters including pelvic incidence (PI), pelvic tilt (PT), sacral slope (SS), and lumbar lordosis (LL) on the computers. These spinopelvic parameters of each patient were measured twice on both lateral lumbar radiograph and EOS® image by two observers with the usage of Surgimap software. The measurement difference and agreement of each parameter value between lateral lumbar radiographs and EOS® images were analyzed by paired t test and the interclass correlation coefficient (ICC) respectively. Intra- and inter-observer's reliabilities of both imaging methods were assessed by ICC. Results. The measurement difference of each spinopelvic parameter on EOS® images and lateral lumbar radiographs was less than 1° on average. Only the measurement difference of PI value revealed statistically significant (P = 0.020) with 0.9° discrepancy (95% confidential interval: 0.2–1.6), which indicated no clinical significance. The ICC values of lateral lumbar radiographs and EOS® images were more than 0.870 (range, 0.872–0.976), thus showed good to excellent measurement agreement between both imaging methods. All the ICC values for evaluating intra- and inter-observer reliability were greater than 0.960 (range, 0.963–0.993), indicating excellent reliability for observer's measurements. Conclusion. Measurements of spinopelvic parameters (PI, PT, SS, and LL) on standing lateral lumbar radiographs are accurate and reliable, which are comparable to whole-spine EOS® images. Level of Evidence: 3
Internal Wind Turbine Blade Inspections Using UAVs: Analysis and Design Issues

Interior and exterior wind turbine blade inspections are necessary to extend the lifetime of wind turbine generators. The use of unmanned vehicles is an alternative to exterior wind turbine blade inspections performed by technicians that require the use of cranes and ropes. Interior wind turbine blade inspections are even more challenging due to the confined spaces, lack of illumination, and the presence of potentially harmful internal structural components. Additionally, the cost of manned interior wind turbine blade inspections is a major limiting factor. This paper analyses all aspects of the viability of using manually controlled or autonomous aerial vehicles for interior wind turbine blade inspections. We discuss why the size, weight, and flight time of a vehicle, in addition to the structure of the wind turbine blade, are the main limiting factors in performing internal blade inspections. We also describe the design issues that must be considered to provide autonomy to unmanned vehicles and the control system, the sensors that can be used, and introduce some of the algorithms for localization, obstacle avoidance and path planning that are best suited for the task. Lastly, we briefly describe which non-destructive test instrumentation can be used for the purpose.
Application of Parallel CM-MLFMA Method to the Analysis of Array Structures

The characteristic mode (CM) approach has been applied to analyze the periodic and quasi-periodic structures efficiently. In this communication, an acceleration technique of the multilevel fast multipole algorithm (MLFMA) and a parallel scheme for the CM approach have been proposed to handle large-scale finite periodic and quasi-periodic structures in free space. The CM serves as a kind of entire-domain basis function to reduce unknowns in the method of moments (MoM). The MLFMA is used to accelerate the matrix-vector products (MVPs) between impedance matrix and eigenvectors, while the parallel technique is to reduce the time of generating a reduced matrix. The numerical examples have shown that, whether it is a connected structure or a nonconnected structure, the proposed method has good accuracy and efficiency.
Novel Preparation of Cu and Fe Zirconia Supported Catalysts for Selective Catalytic Reduction of NO with NH3

Copper and iron promoted ZrO2 catalysts were prepared by one-pot synthesis using urea. The studied catalysts were characterized by XRD, N2 physisorption, XPS, NH3-TPD, and tested in the selective catalytic reduction of NO with NH3 (NH3-SCR) in the absence and presence of water vapor under the experimental conditions representative of exhaust gases from stationary sources. The influence of SO2 on catalytic performance was also investigated. Among the studied catalysts, the Fe-Zr sample showed the most promising results in NH3-SCR, being active and highly selective to N2. The addition of SO2 markedly improved NO and NH3 conversions during NH3-SCR in the presence of H2O. The improvement in acidic surface properties is believed to be the cause.
Employability of Bachelor of Science in Information Technology (BSIT) Graduates of Nueva Ecija University of Science and Technology-San Isidro Campus

— This study generally aimed to trace the current status and employment of the BSIT graduates of Nueva Ecija University of Science and Technology, San Isidro Campus Academic Year 2018-2019. The descriptive method was used with a questionnaire as the major data-gathering instrument. There were 168 total graduates but only 146 of them responded to the study. Descriptive statistics such as frequency counts, ranking, and percentage were used. This study aimed to determine the profile of employed, self-employed, and unemployed respondents. Based on the tallied results, there is a high rate of employability with regular/permanent status outside Nueva Ecija. The majority of employed respondents landed their job in one to six months duration as walk-in applicants with initial gross monthly earning of 5,000 to less than 10,000 pesos. The findings also revealed that based on the respondents' perspective, the BSIT curriculum is relevant to their first job. The majority of the self-employed respondents were on-line resellers and contented in none existence of a boss. The majority of unemployed respondents considers family concern and decided not to find a job and supported by parents as a way of financing daily living.
Green Agricultural Development Based on Information Communication Technology and the Panel Space Measurement Model

This study was conducted to promote the construction of China’s ecological civilization; to reduce harm to the environment; to quantify the performance of agricultural green development (GD); and to truly achieve green, sustainable, and healthy agricultural development. From the perspectives of resources and the environment, first, information communication technology and the panel space measurement (PSM) model were adopted to analyze relevant indicator data from 2000 to 2019 in China’s 30 provinces. Second, China’s agriculture was measured to explore the overall characteristics, temporal changes, and regional differences of agricultural development. A panel data measurement model was constructed using the generalized least squares method, and the main factors affecting performance development were analyzed, which were verified by giving examples. Third, the governance countermeasures and improvement directors were proposed for agricultural GD in China. It is found that the driving force of performance of agricultural GD in China mainly depends on technological progress and that technological efficiency determines the speed of agricultural development. The regional differences in performance of agricultural GD are obvious in China. The growth in the performance of agricultural GD in the eastern region is much higher than that of the central, western, and northeast regions. In addition, the results show that the performance of agricultural GD is extremely positively correlated with the agricultural economic level, fiscal support for agriculture policy, and the industrialization process and that it is extremely negatively correlated with the level of opening-up, adjustment of agricultural structure, and the environmental regulatory capability of the government. As a result, this study can provide some ideas for the realization of agriculture GD in China.
Illustrating the Luminaire Comparison Method

The Mine Safety and Health Administration (MSHA) enforces underground coal mining lighting regulations in the United States and issues approvals for electrical devices and machines. Companies submit standard test and evaluation (ST&E) documentation to MSHA when seeking approval on a machine-mounted lighting system. Subsequent machine modifications, such as changing the type of light lamp from incandescent to light-emitting diode (LED), will require an update via the revised approval modification program (RAMP). Older incandescent and fluorescent lamps are being replaced by LED technology which has many advantages. Today, thousands of obsolete compact fluorescent lamps are used in underground coal mines. Replacing these with LED lamps requires RAMP documentation for each ST&E. This could require MSHA to review virtually thousands of RAMPS that would require an exorbitant amount of resources and would create backlogs that would take MSHA potentially years to process. This problem is addressed by the luminaire comparison method (LCM) that determines if the luminous intensity from a luminaire with a replacement lamp meets or exceeds the luminous intensity of the luminaire with a legacy lamp. If it does, then the replacement lamp is determined as equivalent and can be used as a replacement. One RAMP can then replace multiple RAMPs that would be required without the LCM. One company estimates over $700,000 USD in savings; another company has saved about $200,000 USD using the LCM. It is projected that the LCM will save millions of dollars. This article provides several examples to illustrate the LCM.
Finite Element Analysis of Composite Matrix Material with Micro-damage Healing Ability

A novel constitutive model for modelling of polymer composite matrix material is proposed. Investigated material is an advanced ethylene/methacrylic acid (E/MAA) copolymer, DuPont™ Surlyn® 8940 thermoplastic resin, which exhibits intrinsic self-healing ability. The model incorporates damage evolution and healing model, and the von Mises linear isotropic hardening plasticity model and is validated with static tensile and two-cycle tensile tests on pure Surlyn® 8940 specimens. The concept of nominal and healing configurations is used in the development and numerical implementation of the model, which is additionally streamlined by the application of the strain equivalence hypothesis. Developed constitutive model enables accurate prediction of Surlyn® 8940 behaviour under tensile loading and precise prediction of accumulated plastic strain.
How significant is the term ‘condition’ (ḥāl) to understanding Ibn Khaldūn's historical and political thought? Al-ʿaṣabiyya as an ‘essential condition’ of human association

ABSTRACT This essay offers an interpretation of the term al-ʿaṣabiyya in Al-Muqaddima by Ibn Khaldūn, by situating it among the ‘essential conditions’ of human association, which are necessary for the preservation of civilisation. Political authority is necessary for human association, but it can be acquired, Ibn Khaldūn says, only by al-ʿaṣabiyya. Al-ʿaṣabiyya is the required condition (sharṭ); by means of its power, the goal of rulership is attained. This essay begins by examining the term ‘condition’ and explains what Ibn Khaldūn means by the ‘nature of conditions’, the ignorance of which constitutes one of the reasons that had prompted him to write Al-Muqaddima. Using that interpretation, it then shows that al-ʿaṣabiyya, which is a power of unity among individuals and groups built to gain political authority, is based on manufactured connections and constructed compassion. The examination of the different textual circumstances shows that the form of al-ʿaṣabiyya that ‘guarantees’ political authority is a composite of different ʿaṣabiyyāt, one of which is the leading ʿaṣabiyya. Therefore, in the political context, I argue that Ibn Khaldūn uses the term al-ʿaṣabiyya in the sense of the ‘grand’ ʿaṣabiyya and not the ‘natural’ ʿaṣabiyya, which no one can eliminate. The construction of the ‘grand’ ʿaṣabiyya happens by thinking because the intention to create something, he says, requires thinking about the order of things and an awareness of the reason, cause, or condition (sharṭ) of that thing.