Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication of biodegradable ﬁ brous systems employing electrospinning technology for e ﬄ uent treatment

The continuous industrialization with the evolution of humankind and the rapidly increasing population have led to undesirable environmental changes due to anthropogenic activities, harming the environment, especially the aquatic ecosystem. The constant discharge of di ﬀ erent toxicogenic entities in the aquatic ecosystem globally poses one of the most signi ﬁ cant risks to living organisms, causing virulent diseases and even death. With technological advancements, the urgent demand for pure water devoid of harmful toxins and having a sustainable ecosystem have become paramount concerns. Among the various technologies, electrospinning, which is an e ﬃ cient and facile method of fabrication, has received signi ﬁ cant attention from various research domains, especially in wastewater treatment. This is ascribed to the enhanced e ﬃ cacy, structural properties, and augmented performance of the fabricated nanostructured geometry, presenting a new facet of nanotechnology. Currently, although various techniques are applied for the fabrication of materials for wastewater treatment, the electrospinning of biopolymers is emerging as a sustainable fabrication system for e ﬄ uent treatment, which exhibit the advantages of biodegradability ( ∼ at 9 – 32 °C in seawater), accessibility, porosity ( ∼ 80 – 90%) and biocompatibility. In the present review, we comprehensively investigate di ﬀ erent toxins and their hazardous and prevailing e ﬀ ects on living species, and the advantages and application of various electrospun biopolymers for e ﬄ uent removal. Also, we highlight the di ﬀ erent mechanisms, the application of biopolymers in sorption, and the kinetics and isotherms associated with fabricated nano ﬁ bers for a better understanding of electrospun biopolymers as adsorbents.
Complete chloroplast genome of Campsis grandi�ora (Thunb.) Schum and systematical comparative analysis within the family Bignoniaceae.

Background The plants in the Bignoniaceae have a wide distribution in the tropics and large populations around the world. However, the research information of Bignoniaceae is still scarce or even blank. To excavating the research information of Bignoniaceae plants and provide data support for the study of plant plastid genomes. Methods and results In this study, We have done a particular exploration of the chloroplast genome bioinformation of Campsis grandi�ora. The chloroplast DNA of C. grandi�ora was extracted, sequenced with HTS platform, assembled, and annotated with corresponding software. Results show that the complete chloroplast genome of C. grandi�ora is 154,303 bp long, having a quadripartite structure with large single copy (LSC) of 85,064 bp and a small single copy (SSC) of 18,009 bp separated by inverted repeats (IRs) of 25,615 bp. A total of 110 genes in C. grandi�ora is comprised of 79 protein-coding genes, 27 transfer RNA (tRNA) coding genes and 4 ribosomal RNA (rRNA) genes. The location and distribution of simple sequence repeats (SSRs) and long repeat sequences were determined. We �nished the phylogenetic analysis based on homologous amino acid sequence among 45 species which derived from Bignoniaceae. Conclusions The chloroplast genomes have been used for molecular markers, species identi�cation and phylogenetic studies. The outcome strongly supported that C. grandi�ora and genus Incarvillea formed a cluster within Bignoniaceae. This study identi�ed the unique characteristics of the C. grandi�ora cp genome, which will provide a theoretical basis for species identi�cation and biological research.
Characterization and calibration of cameras for machine vision metrology

This thesis presents the development of a better camera model and the characterization/calibration procedures. Major advantages of the model are that (1) it is an all-around model, more comprehensive than any reported in the literature that satisfactorily represents a digitizing-camera as a complete system with the lens-aperture, the light-sensing, the video-processing, and the digitization subsystems, (2) it calibrates the radiometric distortions as well as geometric distortions, and (3) it leads to more accurate dimensional measurements by allowing compensation for the geometric bias due to the radiometric nonlinearity of the camera. The model emphasizes the light sensing characteristics of the camera and the temporal and the spatial sampling of the image. The transducer is modeled as a nonlinear device with cut-off and saturation. The sampling-window of the transducer is realistically smaller than the sensor-element-spacing (spatial sampling period) so that there are insensitive areas between the sensor-elements. These insensitive areas give rise to a spatial thresholding effect in the continuous amplitude domain. The model assumes the temporal sampling frequency of the video signal to be independent of the spatial sampling frequency of the image so that the pixel-asynchronous sampling could be represented. The camera optics is modeled as a thick lens with aperture control. The object distances are measured from the entrance pupil and the image distances are measured from the exit pupil. In contrast to the pinhole model, the focus, the vignetting, and the depth-of-field effects are satisfactorily described. The lens distortion is assumed to be radial, but is allowed to change with the object-distance. The camera model and the calibration procedures are validated by comparing the model predictions to the experimental data. The model predictions are obtained from the model simulator. The comparisons are performed on the radiometric characteristics as well as on the geometric characteristics of the camera. The results show very good match between the observed and the predicted data. The model and the calibration procedures are applied to metrological problems in industry. The measurement accuracy achieved by a calibrated camera is one-tenth of a pixel on the image plane.
Temporal trends and shifts of 24 noti�able infectious diseases in China before and during the COVID-19 epidemic

The COVID-19 epidemic and the subsequent implementation of public health and social measures (PHSMs) have markedly reshaped the transmission dynamics of infectious diseases. In this study, we analyzed the impact of PHSMs on 24 noti�able infectious diseases (NIDs) in mainland China and utilized multiple time series models to forecast transmission trends under hypothetical scenarios without PHSMs or epidemic. Our �ndings revealed distinct seasonal patterns in the incidence of different NIDs categories. Among these categories, respiratory infectious diseases exhibited the most substantial response to PHSMs, while bloodborne and sexually transmitted diseases demonstrated more moderate effects. Furthermore, we identi�ed 8 NIDs, including hand, foot, and mouth disease (HFMD), dengue fever, malaria, pertussis, scarlet fever, mumps, and rubella, as being highly susceptible to the impact of PHSMs. PHSMs, such as travel restrictions, played a crucial role in mitigating the transmission of zoonotic diseases such as dengue fever and malaria. Interestingly, the easing of PHSMs did not lead to a notable resurgence in NIDs, likely due to the continued practice of self-isolation. Our �ndings highlight the varied impact of PHSMs on different infectious diseases and emphasize the need for developing sustainable, long-term strategies, such as vaccine development, for their prevention and control.
PML Body Biogenesis: A Delicate Balance of Interactions

PML bodies are subnuclear protein complexes that play a crucial role in various physiological and pathological cellular processes. One of the general structural proteins of PML bodies is a member of the tripartite motif (TRIM) family—promyelocytic leukemia protein (PML). It is known that PML interacts with over a hundred partners, and the protein itself is represented by several major isoforms, differing in their variable and disordered C-terminal end due to alternative splicing. Despite nearly 30 years of research, the mechanisms underlying PML body formation and the role of PML proteins in this process remain largely unclear. In this review, we examine the literature and highlight recent progress in this field, with a particular focus on understanding the role of individual domains of the PML protein, its post-translational modifications, and polyvalent nonspecific interactions in the formation of PML bodies. Additionally, based on the available literature, we propose a new hypothetical model of PML body formation.
Unveiling the Genetic Symphony: Harnessing CRISPR-Cas Genome Editing for Effective Insect Pest Management

Phytophagous insects pose a significant threat to global crop yield and food security. The need for increased agricultural output while reducing dependence on harmful synthetic insecticides necessitates the implementation of innovative methods. The utilization of CRISPR-Cas (Clustered regularly interspaced short palindromic repeats) technology to develop insect pest-resistant plants is believed to be a highly effective approach in reducing production expenses and enhancing the profitability of farms. Insect genome research provides vital insights into gene functions, allowing for a better knowledge of insect biology, adaptability, and the development of targeted pest management and disease prevention measures. The CRISPR-Cas gene editing technique has the capability to modify the DNA of insects, either to trigger a gene drive or to overcome their resistance to specific insecticides. The advancements in CRISPR technology and its various applications have shown potential in developing insect-resistant varieties of plants and other strategies for effective pest management through a sustainable approach. This could have significant consequences for ensuring food security. This approach involves using genome editing to create modified insects or crop plants. The article critically analyzed and discussed the potential and challenges associated with exploring and utilizing CRISPR-Cas technology for reducing insect pest pressure in crop plants.
Principled and practical static analysis for Python: Weakest precondition inference of hyperparameter constraints

Application programming interfaces often have correctness constraints that cut across multiple arguments. Violating these constraints causes the underlying code to raise runtime exceptions, but at the interface level, these are usually documented at most informally. This article presents novel principled static analysis and the first interprocedural weakest‐precondition analysis for Python to extract inter‐argument constraints. The analysis is mostly static, but to make it tractable for typical Python idioms, it selectively switches to the concrete domain for some cases. This article focuses on the important case where the interfaces are machine‐learning operators and their arguments are hyperparameters, rife with constraints. We extracted hyperparameter constraints for 429 functions and operators from 11 libraries and found real bugs. We used a methodology to obtain ground truth for 181 operators from 8 machine‐learning libraries; the analysis achieved high precision and recall for them. Our technique advances static analysis for Python and is a step towards safer and more robust machine learning.
Effect of local refinement of unstructured grid on the tidal modeling in the south-western coast of Korea

ABSTRACT Lee, M.E. , Kim, G. and Nguyen, V.T. , 2013. Effect of local refinement of unstructured grid on the tidal modeling in the south-western coast of Korea. To deal with a very complicated bathymetry in the south-western coast of Korea (SWCK), in this paper a numerical calculation with respect to varying grid and bathymetric resolutions was carried out for M2 barotropic tidal motion using FVCOM. In order to improve the model accuracy, horizontal grid resolutions resolving irregular coastlines and bathymetry together with data accuracy are considered. To do this, three refined horizontal grid resolutions were constructed in the nested local area around SWCK. At each horizontal grid structure, two different bathymetry resolutions were applied; the higher resolution based on a latest survey (2007) is more accurate. Bathymetric data with higher resolution was reconstructed as two different samples of data, to test the effect of resolving basic bathymetric data and the improvement of data accuracy, separately. From the test results, it was found that the accuracy of modeled M2 tidal elevation in this region can be improved dominantly by increasing the accuracy of basic bathymetric data, instead of resolving coastline and islands or increasing the resolution of bathymetry.
Trends and the future of computerized printing systems: a forecast of technology development and its application in printing production

The object of research is computerized polygraphic systems, their technologies, current development trends and prospects for application in modern polygraphic production. The study solves the problem of determining current trends in the field of computerized printing systems, as well as developing forecasts for their future, taking into account modern technological innovations and the possibility of their application in printing. It was determined that the modern world is experiencing rapid technological changes. The integration of computer technologies in various branches of production not only optimizes processes, but also opens up new opportunities for development and innovation. The results were obtained: it was found that computerized polygraphic systems are becoming more and more widespread, providing the opportunity to improve product quality, reduce production costs and increase productivity. It has been proven that modern printing technologies demonstrate an impressive dynamic of progress, taking place in the context of intensive development of information and communication industries. The printing industry adapts quickly, assimilating modern technological advances and immediately implementing them into the production process. It has been confirmed that computer printing systems are actively developing, responding to the increase in market requirements and contributing to the improvement of print quality. Today's technologies, including 3D and 4D printing, digital stencil technology, laser engraving and central print management system (CPMS), are already integrated into the printing industry, providing automation, precision and efficiency. The obtained research results make it possible to ensure the industrial production of more individual, multifunctional and flexible products, expanding the horizons for printing companies. Forecasting the development of technologies and their application in printing production allows companies to always be one step ahead of competitors, rationally invest in innovation and effectively respond to changing market conditions. Given the globalization of the market and the growing demands for the quality of printing products, the ability to anticipate future trends and adapt to them is becoming a key success factor for manufacturers.
A model linking digital media dependence, exercise empowerment, and social physique anxiety among emerging adulthood college students

Background/objective Social physique anxiety (SPA) is a prevalent psychological issue among emerging adults, regardless of gender. Many studies have shown that high levels of SPA are associated with various negative consequences on both physical and mental well-being. Considering the potential severity of SPA’s consequences and its high prevalence among emerging adults, it is imperative to investigate the factors and mechanisms that contribute to SPA in this population. Although prior studies have identified associations between emerging adulthood, digital media use, and SPA in young individuals, the underlying mechanisms remain unclear. The objective of this study is to examine the associations between SPA, emerging adulthood characteristics, digital media dependency, and exercise empowerment. Methods In this cross-sectional study, Chinese college students were recruited using snowball sampling. The study utilized an online survey to assess SPA, emerging adulthood characteristics, digital media dependency, and exercise empowerment. The collected data was analyzed using path analysis. Results A total of 1,661 Chinese college students (mean age = 19.63 ± 0.32 years, 44.97% male) were included in this study. The results showed that SPA exhibited positive correlations with responsibility and instability in emerging adulthood characteristics, digital media dependency, and exercise empowerment. Additionally, digital media dependency showed positive correlations with responsibility and instability, as well as with exercise empowerment. Furthermore, exercise empowerment demonstrated positive correlations with self-exploration, responsibility, instability, and possibilities in emerging adulthood characteristics. SPA can be directly influenced by digital media dependency, self-exploration, and instability. Furthermore, digital media dependency has a positive indirect impact on SPA through exercise empowerment. Similarly, self-exploration also has a positive indirect impact on SPA through exercise empowerment. On the other hand, instability has a negative indirect impact on SPA through exercise empowerment. Conclusion This study provides new insights into the complex correlations with emerging adulthood characteristics, digital media dependency, exercise empowerment, and SPA. Instability, self-exploration in emerging adulthood characteristics, as well as digital media dependency, have the potential to influence SPA among college students through exercise empowerment Interventions and strategies aimed at addressing these psychological factors may prove beneficial in reducing SPA among emerging adults, especially college students.
Improving seasonal prediction of summer rainfall over southern China using the BCC_CSM1.1m model‐circulation increment‐based dynamic statistical technique

A model‐circulation increment‐based dynamic statistical technique (MIDST) is proposed in this paper to improve the prediction of summer rainfall over southern China (SC) where quite low prediction skills have been found in the Beijing Climate Center Climate System Model version 1.1 with a moderate resolution (BCC_CSM1.1m). The results show that BCC_CSM1.1m can hardly represent the variability of the summer rainfall anomaly and its year‐to‐year increment over SC, and the skillful predictions are mostly confined over the middle reaches of the Yangtze River. Using the dynamic model output and statistical method, the MIDST is established to capture the coupled modes between the year‐to‐year increments of the summer rainfall anomaly and the associated simultaneous three‐dimensional coupled air‐sea circulation predictors. The cross‐validation indicates that the prediction skills of the MIDST are evidently improved for both the summer rainfall increment prediction and summer rainfall anomaly prediction compared with the direct BCC_CSM1.1m prediction. The skillful prediction can persist for long forecast leads over most regions except southwestern China. As the major predictability source of seasonal prediction, the intense response to changes in the circulation related to the El Niño‐Southern Oscillation (ENSO) is well captured, and thus, the performance improvement of the MIDST is primarily due to its more realistic representation of the incremental circulation related to the ENSO.
Robust Torque Vectoring With Desired Cornering Stiffness for In-Wheel Motor Vehicles

This paper deals with the torque vectoring control problem for uncertain in-wheel motor vehicles. The main objective of this study is to enhance the cornering performance of vehicles at high speed driving and this is done by generating possibly different motor torques applied to wheels. The proposed controller consists of a model predictive control based outer-loop controller and a disturbance observer based inner-loop controller. The outer-loop controller finds the optimal longitudinal tire force considering state and input constraints. The inner-loop controller estimates the difference between the nominal tire model that is used by the outer-loop controller and the unmodeled disturbance, and compensates the disturbance so that the actual vehicle follows the nominal model. The proposed controller is validated via numerical experiments for circular driving, double lane change, and skidpad scenarios and it is shown that the state tracking performance is improved by using the proposed controller.
Optimal strategy for removal of greenhouse gas in the atmosphere to avert global climate crisis

In this paper, we propose a space-time dynamic model for describing the temporal evolution of greenhouse gas concentration in the atmosphere. We use this dynamic model to develop an optimal control strategy for reduction of atmospheric pollutants. We prove the existence of optimal policies subject to control constraints. Further, we present necessary conditions of optimality using which one can determine such policies. A convergence theorem for computation of the optimal policies is also presented. Simulation results illustrate removal of greenhouse gas using the optimal policies.
Middle-to late-Holocene environmental changes in the Garigliano delta plain (Central Italy): which landscape witnessed the development of the Minturnae Roman colony?

Geomorphologic, stratigraphic, faunistic, palynological and 14C analyses were carried out in the area of the mouth of the Garigliano River characterized by two strand plains that are referred to the Eutyrrhenian and the Holocene, rimming two depressed zones separated by the Garigliano River channel. This study depicts the palaeoenvironmental evolution over the last 8200 years and the landscape context at the time of Minturnae Roman colony. Between 8200 and 7500 yr BP, a wet zone occurred in the northern zone, whereas in the southern part, a lagoon developed. During the final transgression stage and the beginning of the sea level still stand (7500–5500 yr BP), a freshwater marsh formed in the northern zone, and the width of the southern lagoon decreased. Between 5500 and 3000 yr BP, the coastal barrier changed into a delta cusp, a freshwater marsh also appeared in the southern part and the river wandered between the twin marshes. Because of local uplift, previously unknown in this area, part of the floor of the southern marsh emerged, and after 4000 yr BP, both marshes became coastal ponds with prevailing clastic sedimentation. A progressive increment in anthropic forcing on the land took place after 3000 yr BP. The Marica sanctuary was built (7th century BC), and the Roman colony of Minturnae was developed beginning the 3rd century BC. The shallow depth of the ponds prevented their use as harbours, and saltwork plants can be ruled out based on the faunal and palynological data. The ongoing infilling of both ponds was never completed, and their reclamation is still in progress.
Analysis of the path of leadership trust to stimulate innovation in employees with negative personality traits

: Leadership trust helps to enhance employee innovation performance, but the relationship between the two is not inevitable, and this positive effect is weakened when leadership trust encounters employees with relative personality traits. Most previous studies have neglected the moderating role of personality traits in the relationship between the leadership trust and innovation, so it is necessary to introduce personality traits as a research variable. Machiavellian traits, neuroticism, and narcissism all have negative feedback on leadership trust in different ways, thus hindering the role of leadership trust in promoting employee innovation. In view of this, unit leaders should treat employees with negative personality traits positively, establish a scientific attitude of trust and innovation feedback, enhance the level of perceived organizational equity of employees, and promote the common development of employees and units.