Miracle-dz/UniFAR-FTUs huggingface dataset:
APPLYING A ‘MENTOR-PROTEGE’ APPROACH TO BROADENING PARTICIPATION OF HBCUS IN THE NATIONAL INNOVATION NETWORK

Innovation is one of the most important drivers of economic growth, yet only 8% of minorities,12% of women, and < 0.05% of African Americans are recognized as innovators. However, acomprehensive analysis of nearly all doctoral dissertations from 1977 to 2015 shows that although individuals from under-represented minority groups demonstrated greater scientific innovation, their contributions are rarely further adopted compared to equally impactful contributions by majority groups. In this instance “rarely further adopted,” as noted by Hofstra et al. (1), means that the “novel contributions by gender and racial minorities are taken up by other scholars at lower rates than novel contributions by gender and racial majorities, and equally impactful contributions of gender and racial minorities are less likely to result in successful scientific careers than for majority groups. ” Access to the wealth of potential innovations — going largely unnoticed and underutilized — from under-represented minority groups can be achieved, in part, by engaging science and engineering students, faculty, and staff at Historically Black Colleges and Universities (HBCUs) in entrepreneurship through the use of the Innovation Corps (I-Corps) curriculum with adaptations to fit the education and research environments at HBCUs. A consortium of three North Carolina universities and the NYC Regional InnovationNetwork (NYCRIN) I-Corps Node established a partnership developing a specialized Lean LaunchPad training program for HBCU students, faculty, and staff. Implementation followeda three-step train-the-trainers ‘mentor-protege’ model, where new instructors ‘see one, do one, be one’ while learning to deliver the curriculum. The overarching goals of this initiativeare to evaluate the effectiveness of this approach in broadening participation in I-Corps and mainstreaming the innovation capacities of HBCUs. The authors include instructors from the collaborating institutions, who trained and served as the teaching team for regional and national cohorts. Included are the rationale for creating the program, partnership selection,instructor and team recruitment, best practices for the ‘mentor-protege’ model, and outcomes for the cohorts. This contribution is a unique opportunity for other faculty to learn from practitioners about the challenges and successes involved in creating such a new multi-institutional entrepreneurship training paradigm.
Application of Two-Dimensional Materials towards CMOS-Integrated Gas Sensors

During the last few decades, the microelectronics industry has actively been investigating the potential for the functional integration of semiconductor-based devices beyond digital logic and memory, which includes RF and analog circuits, biochips, and sensors, on the same chip. In the case of gas sensor integration, it is necessary that future devices can be manufactured using a fabrication technology which is also compatible with the processes applied to digital logic transistors. This will likely involve adopting the mature complementary metal oxide semiconductor (CMOS) fabrication technique or a technique which is compatible with CMOS due to the inherent low costs, scalability, and potential for mass production that this technology provides. While chemiresistive semiconductor metal oxide (SMO) gas sensors have been the principal semiconductor-based gas sensor technology investigated in the past, resulting in their eventual commercialization, they need high-temperature operation to provide sufficient energies for the surface chemical reactions essential for the molecular detection of gases in the ambient. Therefore, the integration of a microheater in a MEMS structure is a requirement, which can be quite complex. This is, therefore, undesirable and room temperature, or at least near-room temperature, solutions are readily being investigated and sought after. Room-temperature SMO operation has been achieved using UV illumination, but this further complicates CMOS integration. Recent studies suggest that two-dimensional (2D) materials may offer a solution to this problem since they have a high likelihood for integration with sophisticated CMOS fabrication while also providing a high sensitivity towards a plethora of gases of interest, even at room temperature. This review discusses many types of promising 2D materials which show high potential for integration as channel materials for digital logic field effect transistors (FETs) as well as chemiresistive and FET-based sensing films, due to the presence of a sufficiently wide band gap. This excludes graphene from this review, while recent achievements in gas sensing with graphene oxide, reduced graphene oxide, transition metal dichalcogenides (TMDs), phosphorene, and MXenes are examined.
Photons for Photography: A First Diagnostic Approach to Polaroid Emulsion Transfer on Paper in Paolo Gioli’s Artworks

The aim of this research is to study and diagnose for the first time the Polaroid emulsion transfer in the contemporary artist Paolo Gioli’s artworks to provide preliminary knowledge about the materials of his artworks and the appropriate protocols which can be applied for future studies. The spectral analysis performed followed a multi-technical approach first on the mock-up samples created following Gioli’s technique and on one original artwork of Gioli, composed by: FORS (Fiber Optics Reflectance), Raman, and FTIR (Fourier-Transform InfraRed) spectroscopies. These techniques were chosen according to their completely non-invasiveness and no requirement for sample collection. The obtained spectra from FTIR were not sufficient to assign the dyes found in the transferred Polaroid emulsion. However, they provided significant information about the cellulose-based materials. The most diagnostic results were obtained from FORS for the determination of the dye developers present in the mock-up sample which was obtained from Polacolor Type 88 and from Paolo Gioli’s original artwork created with Polacolor type 89.
Aesthetic QR: Approaches for Beautified, Fast Decoding, and Secured QR Codes

: A QR code is a two-dimensional code that encodes data but it is unattractive and not ideal. QR codes have been applied in item identifications, publicity campaigns, advertisements, product promotions, etc. so they need to be visually good in appearance. Visually good and decorated QR codes degrade the decoding rate as compared to the standard QR code decoding rate. As they are used for mobile payments and logins some security must be there. For this many researchers have contributed using various approaches to beautify QR codes with high decoding accuracy and to make them secure. This paper aims towards the study of works carried out in the direction of beautification of QR codes using blended type techniques and artificial intelligence based techniques by different authors. The present state of prior strategies, methods, and major features used are described in this survey.
Study protocol of EMPOWER: A cluster randomized trial of a multimodal eHealth intervention for promoting mental health in the workplace following a stepped wedge trial design

Objective: This article describes the EMPOWER study, a controlled trial aiming to determine the effectiveness and cost-effectiveness of an eHealth intervention to prevent common health problems and reduce presenteeism and absenteeism in the workplace. Intervention: The EMPOWER intervention spans universal, secondary and tertiary prevention and consists of an eHealth platform delivered via a website and a smartphone app designed to guide employees throughout different modules according to their specific profiles. Design: A stepped-wedge cluster randomized trial will be implemented in four countries (Finland, Poland, Spain and UK) with employees from small and medium enterprises (SMEs) and public agencies. Companies will be randomly allocated in one of three groups with different times at which the intervention is implemented. The intervention will last 7 weeks. Employees will answer several questionnaires at baseline, pre- and post-intervention and follow-up. Outcome measures: The main outcome is presenteeism. Secondary outcomes include depression, anxiety, insomnia, stress levels, wellbeing and absenteeism. Analyses will be conducted at the individual level using the intention-to-treat approach and mixed models. Additional analyses will evaluate the intervention effects according to gender, country or type of company. Cost-effectiveness and cost-utility analyses [based on the use of quality-adjusted life-years (QALYS)] will consider a societal, employers’ and employees’ perspective.
Influence of shallow geothermal energy on the behaviour of organic contaminants of emerging concern in urban aquifers

Abstract. Urban aquifers are a valuable resource of freshwater for cities, however, their quality is degraded due to the presence of organic contaminants of emerging concern (CECs). The effects of organic CECs are largely unknown, but there is evidence that they pose a risk for human health, soil, plants and animals. Organic CECs are naturally degraded in aquifers and their degradation rates depend on the physico-chemical properties, i.e., redox conditions and groundwater temperature. Some anthropogenic activities, like low-enthalpy geothermal energy (LEGE), may modify subsurface physico-chemical conditions altering the behaviour of organic CECs. LEGE is a renewable and carbon-free energy that allows obtaining cooling and heating energy. The utilization of LEGE is currently growing and it is expected that in a near future the density of LEGE systems will increase. LEGE modifies the groundwater temperature and in some situations the redox state (i.e., if the dissolved oxygen increases when groundwater is returned to the aquifer as a result of a poorly design), thus, it is of paramount importance to determine the impact of LEGE related activities on the behaviour of organic CECs. The behaviour of organic CECs under the influence of LEGE is investigated by means of thermo-hydro-chemical numerical modelling. Simulation output shows that LEGE activities have the potential to modify the degradation rates of organic CECs, and thus, their concentrations in aquifers. In the simulated scenario, the concentration of the chosen CEC decreases by the 77 % at the downgradient boundary of the model. The results of this study have significant implications for predicting the behaviour of organic CECs in urban aquifers and suggest specific changes in the design of LEGE facilities aiming to improve the quality of urban groundwater by boosting in-situ attenuation mechanisms.
Development of Autism Spectrum Disorder Scale and its Psychometric Properties

Autism spectrum disorder scale was developed for the use of diagnoses purpose of autism. This scale is consisting of 15 items in Pakistan’s indigenous language Urdu. Most autism assessment tools are available in English and were developed by Western cultures; however, when those tools are used in different cultures, biased results can be evident. So, a culture-friendly tool was dire need to be developed. A scale was developed and administered to individuals (N=143) with autism using standard procedures from item pooling to standardization of scale. The sample was selected from different cities in Pakistan through a convenient sampling technique. Rotated component matrix analysis, factors loading, sample adequacy KMO and CFI tests were performed using SPSS and AMOS. The convergent validity test demonstrated that there is a significant correlation (r=0.81, p=.00) at the 0.01 alpha level with CARS on the sample of n=50. The indigenous scale also confirmed good test-retest reliability (r=0. 950, p=.000) at a 0.01 alpha level, which indicated that the scale is a valid and reliable measure for diagnosing individuals with an autism spectrum disorder. This scale can be used by researchers, psychologists, and psychiatrists for the general population to measure the prevalence and for diagnosis.
Parameters estimation of AC transmission line by an improved moth flame optimization method

The parameters calculation for a transmission line is described in the proposed work, and the estimation of transmission line parameters is essential for properly managing transmission and distribution networks. The research work deals with the concept of optimization of the transmission line parameters. To this purpose, an improved moth flame optimization technique is applied to different test cases of the transmission lines. Moth movement with respect to the light source is the basis for improved moth flame optimization. In this research work, simulations are performed on various test cases to determine the effectiveness of the suggested method. Results from the suggested method are compared with those from other methods mentioned in the literature. The comparison shows that the proposed method rapidly and smoothly converges to the best-obtained value. The improved moth flame optimization performs better than other algorithms in terms of solution quality and feasibility, proving its effectiveness and competence. The optimal values obtained for capacitance in ( $$\mathrm{\mu F}$$ μ F ) are 0.22406, 0.022935, and 0.0049734, and for inductance in (mH) are 0.65055, 0.41258, and −0.76593, respectively.
Qualitative Analysis Related to Palynological Characterization and Biological Evaluation of Propolis from Prespa National Park (Greece)

Propolis samples from a geographical part of northwest Greece (Prespa National Park, PNP), which is characterized as a plant endemism center and biodiversity hotspot, were characterized through pollen analysis, chemically analyzed, and biologically evaluated. The majority of the studied propolis showed typical chemical constituents (phenolic acids, flavonoids, and chalcones) of European type, while a sample of Mediterranean-type propolis (rich in diterpenes) was also identified. The palynological characterization was implemented to determine the botanical origin and to explain the chemical composition. The total phenolic content and the DPPH assay showed that the European-type propolis samples possessed strong antioxidant activity (86–91% inhibition at 200 μg/mL). Moreover, promising antibacterial activity of the extracts (MIC values 0.56–1.95 mg/mL) and moderate antifungal activity (MIC values 1.13–2.40 mg/mL) were noticed, while the sample with the highest activity had a significant content in terpenes (Mediterranean type). Propolis samples from the PNP area represent a rich source of antibacterial and antioxidant compounds and confirm the fact that propolis is a significant natural product with potential use for improving human health and stimulating the body’s defense. Finally, it is noteworthy that a significant chemical diversity was demonstrated, even in samples from a limited geographical area as this of PNP.
Intelligent control strategy of power grid based on system optimal configuration

With the rapid development of the electricity market, the idea of improving the flexibility of the power system has gradually shifted to the load side. The load side is regulated by means of Demand Response (DR) so as to reduce the regulation pressure of the power supply side, change the situation that the traditional grid power supply passively follows the load change, and realize the two-way response of the source and load. Load is no longer a simple deterministic model but a probabilistic model. The power balance relationship will also be transformed from one-way type to source-load complementary type. In this paper, the effect of load side flexibility regulation means on the system optimization configuration of power supply side regulation capability is studied. The electricity price type and incentive demand side response are applied to the power grid to study the intelligent regulation strategy of the power grid to obtain the improvement of the flexibility performance of the power grid. On this basis, in view of the call priority of all kinds of flexibility resources, the adjustment ability and capacity ratio of all kinds of flexibility resources on both sides of the source and load are comprehensively considered to complete the priority division of flexibility resources on both sides of the source and load.
Potato (Solanum tuberosum L.) Leaf Extract Concentration Affects Performance and Oxidative Stress in Green Peach Aphids (Myzus persicae (Sulzer)

This study was conducted to determine the aphicidal effect of a leaf extract of the Atlantic potato cultivar on the performance of green peach aphids. Three concentrations of the leaf extract (100, 75, and 50% potato extract), synthetic pesticide (Beta cypermethrin 4.5%), and distilled water (control) treatments were applied in a greenhouse experiment. The results showed that the synthetic pesticide, which was used as a standard check, caused the maximum aphid mortality, followed by the 100% potato leaf extract. Compared with the other botanical treatments, the 100% extract produced low mean rates of survival, aphids’ average daily reproduction, the number of nymphs per plant, and the number of nymphs per adult. This treatment also increased the accumulation of hydrogen Peroxide (H2O2) and malondialdehyde (MDA), glutathione-s-transferase, mixed-function oxidase, and carboxylesterase content in the green peach aphid. Moreover, the 100% extract also protected the host plants against green peach aphid attacks by demonstrating higher chlorophyll content, net photosynthesis, above-ground fresh weight, and above-ground dry weight of the host plant. This study demonstrates that the highest concentration of potato (Atlantic cultivar) leaf extract (100% extract) could be used as the appropriate dosage for the control of green peach aphids on potatoes, which could greatly reduce the use of synthetic insecticides and promote ecosystem sustainability.
Evaluation of the Effectiveness of Rural Revitalization and an Improvement Path: A Typical Old Revolutionary Cultural Area as an Example

At present, the focus of global attention is on implementing rural revitalization strategies. However, constructing a set of scientifically based evaluation indexes for the evaluation of the effectiveness of rural revitalization implementation, exploring the implementation plan for rural revitalization, has become a common concern and a focus of discussion in political and academic circles. This study used a typical rural revitalization demonstration area in China as an example. We proposed a theoretical framework for rural revitalization research and constructed an index evaluation system for the evaluation of the effectiveness of rural revitalization implementation and influencing factors from two perspectives: material life and spiritual life. The results were as follows: Differences were found in the implementation effectiveness of rural revitalization strategies in the study area; especially, in areas with obvious rural cultural characteristics, their implementation level was relatively high. The implementation effectiveness of rural revitalization strategies was the result of multi-factor interactions. The village greening rate, innovation ability, and the age of village supporters were the main factors affecting rural revitalization, and the interaction effects of a village’s innovation ability and other factors were significant. Therefore, we argue that in the process of promoting the sustainable development of villages, it is necessary to prominent the characteristics of village construction and improve the effectiveness of the implementation of village revitalization strategies at both the material and spiritual levels.
Proceedings of the third Biennial Conference on Low Energy Antiproton Physics, Bled, Slovenia, September 12-17, 1994

These proceedings cover recent results in low energy antiproton physics. The volume consists of invited talks and invited contributions on the following subjects: nucleon-antinucleon interactions, antiprotons in astrophysics, meson spectroscopy, strangeness and charm production, antinucleon-nucleus interactions, fundamental symmetries, antiproton facilities, atomic physics with antiprotons, antihydrogen-facilities and experiments.
Searching for gravitational waves associated with gamma-ray bursts int 2009-2010 ligo-virgo data

In this thesis we present the results of the search for gravitational wave bursts associated with gamma-ray bursts in the 2009-2010 data from the LIGOVirgo gravitational wave interferometer network. The study of gamma-ray bursts progenitors, both from the gamma-ray emission and the gravitational wave emission point of view, yields the characteristic of the sought signal: polarization, time delays, etc . This knowledge allows the construction of a data analysis method which includes the astrophysical priors on joint gravitational wave and gamma-ray emission, and moreover which is robust to non-stationary transient noises, which are present in the data. The lack of detection in the analyzed data yields novel observational limits on the gamma-ray burst population.
Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis

Doctor–patient relationships (DPRs) in China have been straining. With the emergence of the COVID-19 pandemic, the relationships and interactions between patients and doctors are changing. This study investigated how patients’ attitudes toward physicians changed during the pandemic and what factors were associated with these changes, leading to insights for improving management in the healthcare sector. This paper collected 58,600 comments regarding Chinese doctors from three regions from the online health platform Good Doctors Online (haodf.com, accessed on 13 October 2022). These comments were analyzed using text mining techniques, such as sentiment and word frequency analyses. The results showed improvements in DPRs after the pandemic, and the degree of improvement was related to the extent to which a location was affected. The findings also suggest that administrative services in the healthcare sector need further improvement. Based on these results, we summarize relevant recommendations at the end of this paper.
Multi-species Fish Identification using Hybrid DeepCNN with Refined Squeeze and Excitation Architecture

Fish play a prominent role in the food web and fish farming has value for both human consumption and tourist attractions. Due to the increasing importance of marine biodiversity, recognition of fish species has become a prominent task in monitoring the mislabelling of seafood and extinct species. This problem can be solved using traditional manual annotation on the images. To reduce manpower, cost, and tremendous time, deep learning approaches are used which always require large data-sets. Therefore, fish species identification is a challenging task using disproportionately small data sets. In this research, we develop a new method by refining the squeeze and excitation network for the automatic fish species classification model to identify 23 different types of fish species. To achieve this, a hybrid framework using deep learning is proposed on a large-scale dataset and implemented transfer learning for a small-scale dataset. Deep learning methods can be used to identify fish in underwater images. In this study, we have proposed a new method of hybrid Deep Convolutional Neural Network (CNN) along with a Support Vector Machine (SVM) for classification. Additionally, the Squeeze and Excitation (SE) block has been improved for improved feature extraction. The proposed method achieved an accuracy of 97.90%. Then post-training with the small-scale dataset (Croatian) achieved an accuracy of 94.99% with an 11% improvement compared to Bilinear CNN (B-CNN) (Qui et al., 2018) and can be used in any underwater applications to identify fish species and avoid misla-belling of seafood.