Miracle-dz/UniFAR-FTUs huggingface dataset:
Transient Super‐/Sub‐Linear Nonlinearities in Silicon Nanostructures

Nonlinear silicon nano‐photonics has recently attracted significant attention due to the plethora of electric and magnetic Mie resonances that offer substantial enhancement of optical nonlinearities. Conventionally, the characterization of nonlinearity and its transient nature rely on intensity‐scan methods (z‐scan) in the spatial domain and pump‐probe techniques in the temporal domain. However, most studied ultrafast nonlinear effects are instantaneous, that is, strongest at zero pump‐probe delay, and have a solitary nonlinear power dependency (square, cubic, etc.). Here the authors found that when relaxation lifetime is dependent on pump fluence, transient nonlinearity appears. The effect is exemplified via Auger‐based nonlinear carrier dynamics of a nano‐silicon Mie‐resonator. The Auger‐induced transient nonlinearity not only locates at the time delay of several tens of picoseconds, but also displays diverse nonlinearities, including sub‐linear, super‐linear, and surprisingly full saturation, which features a “crossing point” where the probe scattering is pump‐fluence independent. The crossing point exists when the relaxation lifetime is inversely dependent to second power of carrier density. Combining confocal intensity‐scan (x‐scan) and pump‐probe temporal scan, the authors demonstrate that sub‐linearity and super‐linearity lead to swelled and reduced full‐width‐at‐half‐maximum (FWHM) of single‐nanostructure images, further confirming the nonlinearity as well as the potential of sub‐diffraction microscopy. The results open up a new avenue in nonlinear silicon nano‐photonics by adding new degrees of freedom in temporally tuning the types of transient nonlinearities, which are valuable in all‐optical signal processing and nano‐imaging.
Undergraduate Nursing Students' Experience of Northern Rural and Remote Indigenous Communities

Undergraduate nursing programs are moving towards a service learning model in teaching nursing student cultural awareness. In this article, we discuss the nursing student experience in a university elective which immerses students in rural and remote Indigenous communities resulting in cultural consciousness. This service learning experience that students encountered promoted growth in nursing praxis, and fostered positive curriculum growth and community partnerships between the College and the Indigenous communities in which they visited. Students gained cultural consciousness and increased awareness, which is beneficial in their future nursing careers as they grow into better culturally competent care providers. Also discussed is the history and background of these Indigenous communities, The Truth and Reconciliation Commission (TRC) and the First Nations Principles of OCAP (ownership, control, access and possession). These topics are discussed in detail throughout the student experience as they respond to nurses’ professional standards, development of cultural competency and integrating calls to action in truth and reconciliation.
Comparative Morphometry of the Sitophilus zeamais Motschulsky Populations (Coleoptera: Curculionidae) Infesting Yellow Maize in Four West African Countries

Sitophilus zeamais is a primary pest of stored maize, which can cause quality and quantity losses. Maize is cultivated in several West African countries where different agro-climatic and agro-ecological conditions exist. These conditions could influence the Sitophilus zeamais morphology. Thus, the purpose of this study is to identify the Sitophilus zeamais morphological groups in the four countries. This was carried out through the morphometric study of 30 male Sitophilus zeamais individuals taken from the yellow maize in each country, by measuring with a binocular magnifying glass, 16 variables of the different tagmas belonging to the insect. Subsequently, statistical analyses were firstly carried out with the raw measurements, such as the principal component analysis, in order to extract the contribution of the variables on each factorial axis and to visualise the correlations between the variables. Taking the case of the transformed measurements, in addition to the principal component analysis, a discriminant factorial analysis was carried out to find out the best factor for gathering individuals according to their morphology, a confusion matrix to summarise the individual’s reclassification in order to deduce the good and bad classification rates, and an ascending hierarchical classification which consists of gathering the individuals according to their similarity and separating them according to their dissimilarity using the truncation method. Therefore, five morphological groups were identified. However, the existence of these morphological groups would not be linked to agro-ecological, climatic conditions and to the geographical remoteness between countries. How to cite this paper: Sarr, A.G. R.J., Dia, C.A. K.M. , Diome, T. and Sembene, P.M. (2022) Comparative Morphometry of the Sitophilus zeamais Motschulsky Populations (Coleoptera: Curculionidae) Infesting Yellow Maize in Four West African Countries. Advances in Entomology, 10, 85-98. https://doi.org/10.4236/ae.2022. 101007 Received: September 23, 2021 Accepted: January 3, 2022 Published: January 6, 2022 Copyright © 2022 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access A. G. R. J. Sarr et al. DOI: 10.4236/ae.2022. 101007 86 Advances in Entomology
Method for improving precision in noncontact measurement by linear CCD

To measure work pieces by CCD sensor is a common way in the noncontact measurement field,but the precision can only reach μm because of the size of CCD cells,which restricts the wide use of this kind of measurement system.This paper gives a method to improve CCD precision by arithmetic aspect. The experiment demonstrates that this method can improve the measurement precision by one order of magnitude.
A COMPACT DIELECTRIC RESONATOR BASED DUAL PORT CIRCULARLY POLARISED MIMO ANTENNA FOR WIDEBAND APPLICATIONS

In this communication, a compact Dielectric Resonator (DR) based multiple-input-multipleoutput (MIMO) antenna is presented for wideband applications. The antenna consists of two modified kite-shaped monopoles where four DRs have been placed on the patch. Corners of four DRs have been etched to implement the orthogonal phase, which leads to circular polarization characteristics. Implementation of DRs also helps in bandwidth enhancement purpose. Two L-shaped parasitic strips along with a Y-shaped stub have been used in the ground plane so as to obtain high isolation, which leads to a decrease of mutual coupling between the antenna elements. The proposed antenna achieves a wide impedance bandwidth of 7.1–22GHz (106%) along with low mutual coupling of less than −15 dB within the entire frequency range as well as circular polarization characteristics, which covers the frequency range (−3 dB) of 7.1–7.9GHz (10.6%). Thus the antenna can be considered as a potential candidate for modern wireless communication systems.
Performance Research of Air-source Heat Pump Water Heater using R134a,R417a and R22

A variety of typical experiments are carried out on the air resource heat pump water heater using R134a,R417a,and R22 under different operating conditions.Suction and discharge pressure,suction and discharge temperature,compressor input power,thermal coefficient of performance has been analyzed.The validation of various parameters and the trend with the the changing of the environmental conditions are obtained.It provides the references for the design and the refrigerant selection of the heat pump water heater.
Technical Guidance Manual For Performing Waste Load Allocations

This chapter is one of a series of manuals whose purpose is to provide technical information and policy guidance for the preparation of technically sound, defensible Waste Load Allocations (WLAs). The objective of such load allocations is to ensure that acceptable water quality conditions will be achieved or maintained, such that designated beneficial uses are protected. An additional benefit derived from the performance of a sound WLA is that the determination of minimum allowable levels of treatment of wastes waters can result in a more effective utilization of available funds.
Analysis of Four Technology Related Industries Before and After COVID-19 Based on Fama-French Five-Factor Model

The COVID-19 devastated the U.S. economy dramatically, which broke the largest shrank record from 1947. The U.S. stock market faced a series of huge fluctuations during the pandemic. Due to more stimulated injection policies and online communication demands, the U.S. technology industry faced a structural bull market in 2020. Given that technology-related industries are critical to a country's development, it is worthwhile paying more attention to the impact of the unprecedented COVID-19 outbreak on those industries, especially how assets are priced differently before and after the outbreak. This study investigates and evaluates changes in the Fama-French Five-Factor Model factors before and after the COVID-19 outbreak for four crucial US technology-related industries (namely hardware, software, chips, and lab equipment industries), which provides suggestions regarding investment strategies of the four industries according to the findings. In addition, the Data from the Kenneth R. French Data Library were used to conduct multiple linear regression. The result demonstrates that the pandemic has profoundly impacted these industries, which can be embodied by the change in significant factors (CMA, RMW, HML) in each market, respectively. In contrast, there is no change in significant factors in the lab equipment industry. In conclusion, COVID-19 has altered both the magnitude and significance of multiple Fama-French Five-Factor Model factors for the industries, and investors should adjust their investment strategies accordingly when investing in different industries to benefit from higher stock returns.
Accounting Mismatch of Enterprise Assets and Enterprise Liabilities

The difference in measurement basis makes companies have serious accounting mismatch problems when accounting for FA (Financial Assets) and Fl (financial liabilities), which leads to the instability of owner's equity accounts and income statement accounts. Fair value measurement has the same measurement characteristics used to calculate the liabilities and assets of enterprises, and its proposal and application can well improve the problem of accounting mismatches. Therefore, the purpose of this article is to study the accounting mismatch between corporate assets and corporate liabilities. This article analyzes the related concepts of corporate financial accounting and compares the new and old financial instruments. This article summarizes the consequences caused by the accounting mismatch of corporate assets and corporate liabilities, and proposes a plan to alleviate the accounting mismatch.
Psychological Empowerment and Place Attachment influencing Organizational Citizenship Behaviour

Organizational Citizenship behaviour (OCB) has been found to be largely influenced by individual characteristics. However, how an individual’s emotional bonding with the place (organization) influences OCB has not been studied. There has also been growing interest in the impact of Psychological Empowerment on display of OCB. Hence, this research aims to explore the impact of Place Attachment (PA) and Psychological Empowerment (PE) on OCB among the employees of a private University in the Eastern Region. Data were collected with the help of a questionnaire from the employees who were willing to participate and after checking for completeness of the responses and outliers, finally, 323 data were analyzed. Correlation analysis and structural equation modelling revealed that both PA and PE influenced all the dimensions of OCB. The findings of this study will contribute towards understanding the importance of variables such as PE and PA in an academic setting and its impact on the display of extra role voluntary behaviours.
MAGNETICALLY MODIFIED SUGARCANE BAGASSE DISORDERED CARBON AS A CADMIUM REMOVAL AGENT IN WATER

Heavy metals are hazardous to health at certain levels. Currently, heavy metals are removed by physicochemical treatments, such as adsorption, flotation, and electrochemical deposition, and also biological treatments, such as algal biofilm reactor and anaerobic ammonium oxidation. In this study, magnetic biochar was produced to enhance the effectiveness and performance of the adsorbent for heavy metal removal. This study aimed to synthesise high-performance magnetic biochar, to determine the optimum parameters and conditions for high yield of magnetic biochar and high removal of cadmium (Cd) from aqueous solution, and to determine the adsorption kinetics and isotherms for Cd removal. Nickel oxide (NiO)-impregnated sugarcane bagasse was subjected to slow pyrolysis to produce magnetic biochar. The impregnated metal, pyrolysis temperature, and pyrolysis time were varied to determine the optimum parameters and conditions to produce high-performance magnetic biochar. The removal of Cd from aqueous solution and batch adsorption study were conducted. The synthesised magnetic biochar was characterised using field-emission scanning electron microscopy (FESEM), energy dispersive X-ray (EDX), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) surface area, Fourier transform infrared (FTIR), and vibrating sample magnetometer (VSM). The adsorption data agreed well with the pseudo-second-order model and followed the Langmuir isotherm model. This study achieved 88.47% removal efficiency of Cd from aqueous solution. Thus, the removal of this heavy metal as a human carcinogen reduces the hazardous effects on human health and reduces the toxicity in the environment. ABSTRAK: Logam berat adalah berbahaya bagi kesihatan di peringkat tertentu. Pada masa ini, logam berat disingkirkan melalui rawatan fizikokimia, seperti penyerapan, pengapungan, dan deposit elektrokimia, dan rawatan biologikal, seperti reaktor biofilem alga dan oksidasi ammonium anerobik. Kajian ini menghasilkan biochar magnetik bagi meningkatkan keberkesanan dan prestasi penyerapan penyingkiran logam berat. Kajian ini bertujuan bagi mengsintesis biochar magnetik pada prestasi tinggi, bagi menghasilkan parameter optimum dan keadaan pengeluaran tinggi biochar magnetik dan penyingkiran tinggi kadmium (Cd) daripada larutan akues, dan bagi mendapatkan penyerapan kinetik dan isoterma penyingkiran Cd. Nikel oksida (NiO)-impregnat hampas tebu adalah
Macroalgal biodiversity of the Indian River Lagoon: updating the puzzle

Abstract Given the Indian River Lagoon (IRL)’s abundance of macroalgae and its rapidly changing environments, the establishment of a macroalgal biodiversity inventory and baseline is essential. Knowledge of IRL macroalgal biodiversity has grown considerably since 1994, when the initial IRL Biodiversity Conference was held, largely due to the 2008 publication of Submersed Plants of the Indian River Lagoon by Littler et al. 2008. A current list of macroalgal taxa is provided to encompass the taxonomic changes that have occurred since 2008. The number of macroalgal taxa has increased from 142 in 1994 to 207 in 2020 (an increase of 45.8%); rhodophytes increased from 74 to 110 (48.6%), chlorophytes from 45 to 61 (35.6%), and phaeophyceans from 23 to 36 (56.5%). Spatial and temporal trends in the IRL macroalgal community were analyzed from a data set collected contemporaneously (1994 – 1996; n 1⁄4 1,042 samples) with the Biodiversity Conference. The macroalgal community was primarily composed of unattached, ‘‘drift’’ algae, with the rhodophyte Gracilaria tikvahiae the most abundant species (59% of biomass). Macroalgal abundance increased, with evidence of shifts in species composition, from north to south and no consistent temporal patterns. This study provides baseline data to determine long-term changes in community structure of IRL macroalgae and a call to address important research questions.
The Effectiveness of the Combination of Types and Methods of Organic Fertilizer Application on Growth and Yield of Sweet Corn in Inceptisols

This study aimed to obtain a combination of organic fertilizers and the method of giving solid organic fertilizer to the growth and yield of sweet corn. The research was conducted from March to May 2019 in Karang Dapo Village, Bingin Kuning District, Lebong Regency, Bengkulu Province. This study used a Randomized Complete Block Design with one factor and three replications, consisting of 11 combinations, namely control, solid organic fertilizer (SOF) dose of 2.5 tons/ha by localized placement, 5 tons/ha by localized placement, Petroganic 500 kg/ha by localized placement, Petroganic 1000 kg/ha by localized placement, Petroganic 2000 kg/ha by localized placement, SOF 2.5 tons/ha by side dressing SOF 5 tons/ha by side dressing, Petroganic 500 kg/ha by side dressing, Petroganic by 1000 kg/ha by side dressing, Petroganic 2000 kg/ ha by side dressing. The results showed that the distribution of SOF 5 tons/ha by localized placement affected stem diameter, which gave 3.25 cm, the number of leaves 13.1 strands, and the percentage of marketable cob 100%. Giving SOF 5 tons/ha by localized placement yields reached 34.4 tons/ha. Giving organic fertilizer gave better results than without applying organic fertilizer to all observed variables. Akta Agrosia
Are politically engaged citizens more democratic? A glimpse from Brazil

A significant part of the Western literature on democracy assumes that political participation leads to citizens being more committed to democratic values. However, we do not know to what extent this is true in young democracies with an authoritarian tradition. Hence, this article aims to examine whether politically engaged Brazilians are more democratic. To do so, we analyzed whether there is any association between political participation, support for democracy, and democracy relativization through multivariate regression models. Our database comprises a representative sample of 2417 interviews with the electorate of São Paulo in 2019. The results show a statistically significant association between unconventional political participation and support for democracy. General political participation is associated with non-relativization of democracy only, showing a limited relationship between support for democracy and participation. Other variables, such as political interest, political knowledge, and interpersonal trust, are also associated with higher support for democracy.
Family firm versus non-family firm: the role of resource orchestration in fast-growing high-tech SMEs

PurposeThis paper strives to understand the role of resource orchestration (RO) in the rapid growth of high-tech small and medium-sized enterprises (SMEs). Design/methodology/approachBased on a comparative case study, RO is compared between a high-tech family firm and a high-tech non-family firm. To capture the complexity of RO, this study applies a longitudinal approach using a large volume of archival and interview data gathered over ten years.FindingsThe configuration of family-firm paradoxical growth-oriented RO emphasizes RO based on collectivism and responsibility, although relying on large-scale conforming normative control. In contrast, the configuration of non-family-firm growth-oriented RO emphasizes administrative-based delegation and management-supported value creation.Originality/valueBy suggesting ownership-based RO configurations, this study provides insights into how ownership types, i.e. family firms and non-family firms, affect RO in firms operating in complex and dynamic environments. These configurations explain how and why RO is arranged in a growth context.
Analisis Big Data Sentimen Konsumen UMKM Sektor Kuliner Menggunakan Multi-Label K-Nearest Neighbor

UMKM in Bogor City are UMKM that have experienced significant development from year to year. In 2019, in the City of Bogor, there were around 30,822 UMKM dominated by the culinary sector 60%, handicrafts 30% and 10% the batik sector. With the significant growth of UMKM, it will affect the competition for UMKM which is increasing and it will be increasingly difficult to see the map of competition in UMKM, especially in the culinary sector. So to overcome this competition, one way that can be done is to see consumer sentiment towards these UMKM by using the Data Mining method. In the Data Mining method, there are several popular algorithms that are often used. One of the popular
Decadal Temperature Variations Over the Northwestern Tibetan Plateau Deduced From a 489‐Year Ice Core Stable Isotopic Record

Information on decadal temperature variations over the northwestern Tibetan Plateau (TP) is still very limited due to a lack of long‐term instrumental data. In this paper, we present a 489‐year (1524–2012 A.D.) reconstruction of annual mean temperature for the northwestern TP using the δ18O record of a 58.82 meter‐long shallow ice core retrieved on the Chongce ice cap in the western Kunlun Mountains. The reconstructed temperature exhibits significant decadal variations, which were mainly driven by the Atlantic Multidecadal Variability. Decadal temperature variation during the Little Ice Age (LIA) is significantly larger than that during the post‐industrial warming period, possibly due to such external forcing as large fluctuations of solar activity and frequent major volcanic eruptions during the LIA. In addition, our reconstruction shows that the recent warming since the 1980s is moderate, comparable to an earlier warm interval in the mid‐20th century, which may partly explain the relatively stable status of glaciers in this region since 1970s.
Shape Based Deep Estimation of Future Plant Images

Plants exhibit dynamic changes as they grow. For example, a new leaf may appear suddenly, and rotate and fold over time. Therefore, it is difficult to predict the growth of plants. For accurate growth predictions, it is important to predict the shapes, colors and textures of the leaves. The conventional methods simply use RGB images to predict the next plant at once. In this paper, we propose a novel deep network which is divided into two subnets of shape estimation and color reconstruction. Four gray time-series images are first aligned to a future target using a spatial transformer network (STN) for shape estimation. They are then fused using U-Net with two LSTMs to generate a future shape image. The color reconstruction subnet fuses the predicted shape with a RGB plant image to restore the color information. In addition, we use gray images with texture information for shape estimation instead of binary images with only simple information and RGB images with too much information. The proposed deep network can robustly generate future plant images for plant growth prediction. It is evaluated using our proprietary dataset as well as two public datasets for different types of plants. The experimental results demonstrate that our proposed network predicts the leaf shape more accurately and restores RGB. As a result, our method can create accurate future plant images.