Miracle-dz/UniFAR-FTUs huggingface dataset:
The age-graded effects of psychosocial maturity on legal socialization across the adolescent developmental course in youth offenders

Abstract This study, using a sample of youth offenders from the Pathways to Desistance Study (N = 1354), examines Greenberger and Sorensen’s model of “psychosocial maturity” as a predictor of legal socialization (legal cynicism and legitimacy) across the adolescent developmental course, as well as the differential importance of this relationship by age. Psychosocial maturity significantly predicted lower levels of legal cynicism, but also lower levels of legitimacy, from ages 14–25. Yet, when considering the salience of these relationships by age, results suggest that the relationship between psychosocial maturity and legitimacy may show little variation as adolescent offenders age, but that the salience of psychosocial maturity on explaining patterns of legal cynicism declines with age during development into emerging adulthood. This work’s potential implications for promising interventions that foster psychosocial maturity in early adolescence to reduce legal cynicism of youth who have offended or are at high-risk of offending are discussed.
Towards Affinity Spaces in Schools: Supporting Video Game-Design Partnerships as Twenty-First Century Learning Tools

Abstract Towards affinity spaces in schools: Supporting video game-design partnerships as twenty-first century learning tools Renee E. Jackson, Ph.D. Concordia University, 2016 The Arcade Our Way (AoW) project was an intergenerational, all female, video game design based project involving fifteen grade seven students, five undergraduate students, the CEO of a small gaming company and the researcher who both participated and observed. This ethnographic pilot study was an investigation of the merits of the project as a twenty-first century learning tool, where twenty-first century learning is aligned with the views of John Dewey and Paulo Freire. The project is considered for its strength as a progressive learning space through the lens of contemporary informal online learning spaces knowns as affinity spaces (Gee, 2005), and “energizing moments” a tool developed through data analysis. Affinity spaces are nonhierarchical and constructivist in nature, and participants of all ages learn from one another based on shared interests. Specifically the fourteen features of nurturing affinity spaces (Gee & Hayes, 2012) were used as reflective tools through which to consider the strength of the project as a constructivist learning environment. Each feature was then evaluated through a five point rubric and ranked according to its relative strength. To further corroborate the merit of the project from a student centred perspective, “energizing moments” provided indicators of the moments when the participants were most highly engaged by the work. This is another approach to attending to the strength of this project, and perhaps other projects as well, based on the idea that student motivation matters. Identifying energizing moments throughout the project can not only provide further insight into the strength of the project from a student-centred perspective, but can support strategies for enabling future such motivation. These tools were used to derive recommendations towards future iterations of the project. This research comes from the perspective that twenty-first century learning strategies have much to learn about pedagogy from the ways young people are motivated within the context of specific projects, and from their informal learning choices outside of school through technology and the internet. Keywords: video games, gender, new-media literacy, collaboration, progressive education, traditional education, twenty-first century learning, real-world learning, experiential learning, partnerships.
Effect of strip clear-cutting on the natural regeneration of Pinus tabuliformis plantations in northeastern China

In this study, the effect of strip clear-cutting on the natural regeneration performance of mature Pinus tabuliformis plantations in the three locations in western part of the Liaoning Province was analyzed. Strip clear-cutting, with clear-cut and uncut strip widths of 15, 20, 25 m, and 10 and 18 m, respectively, was conducted in spring 2014, and control, in each study location. Field investigations were conducted in 2017. Fifteen sample plots with sizes of 4 m2 (2 m × 2 m) were established in each clear-cut strip, uncut strip, and control. One to four saplings were randomly selected to measure the current year increment, and the lengths and numbers for branch of the first whorl. Three saplings were randomly selected from the center of the strip to measure the photosynthetic rate. Three sample plots with sizes of 4 m2 (2 m × 2 m) and 1 m2 (1 m × 1 m) were developed in each strip and control to determine the biodiversity of shrubs and herbs as well as the water content of the decomposition and semi-decomposition layer. The results show that the current year increment and branch length of the first whorl can be ordered as follows: clear-cut strips > control > uncut strips. Number of the branches of the first whorl can be ordered as follows: clear-cut strips > uncut strips > control. Strip clear-cutting was a statistically significant treatment for the current year increment and length and number of branches of the first whorl. The saplings from the clear-cut strip with a width of 25 m have the largest photosynthetic capacity compared with those from the other strips and control. The transpiration rates of the large, medium, and small saplings from clear-cut strips are the largest and those of saplings from the control are the smallest. The water content of the decomposition and semi-decomposition layer in the control is the highest, but no significant difference was confirmed between the strip clear-cutting approaches.
ZEEP: Zonal based Energy Efficient Routing Protocol for HWSN

In Wireless sensor network (WSN), sensor nodes are usually deployed in the remote dense environment with limited energy resources in order to monitor a region for a long time. It makes energy conservation as most challenging issue for design and deployment of wireless sensor networks. In the energy conversation solutions, most of the researches have been conducted on energy efficient solutions regardless of the intra-cluster and inter-cluster short distance energy efficient communication. Transmission distance is proportional to energy cost. So, energy cost can be reduced by shortening the communication distance between the nodes. To reduce the intra-cluster and inter-cluster transmission distance, a novel Zonal based Energy Efficient Routing Protocol (ZEEP) for Heterogeneous WSN has been proposed in order to enhance the stability period and lifetime of the network. The simulation results indicate that proposed scheme enhanced the stability period, network lifetime and throughput than existing routing protocols.
Risk Assessment and Area-Wide Crop Rotation to Keep Western Corn Rootworm below Damage Thresholds and Avoid Insecticide Use in European Maize Production

Simple Summary Diabrotica virgifera virgifera LeConte, the Western corn rootworm (WCR), is a maize-specific pest that has been a serious threat in Europe since the mid-1990s. To properly implement integrated pest management, it is necessary to identify the key factors associated with risks of crop damage from WCR and to evaluate the effectiveness of area-wide strategies based on agronomic measures, such as crop rotation, in reducing those risks. In Italy and Croatia, a survey of agronomic and cultural factors in fields damaged by WCR allowed us to determine that the beetle population size accounts for most of the risk of maize damage from WCR. Crop rotation (without insecticide use), both structural and flexible, was the most effective strategy for keeping WCR populations below the damage threshold. This indicates that WCR management can be carried out in accordance with European Union regulations to limit or avoid insecticide treatments and reduce environmental impacts. Abstract The Western corn rootworm (WCR), Diabrotica virgifera virgifera LeConte, has been a serious quarantine pest to maize in Europe since the mid-1990s. The integrated pest management of WCR requires an accurate knowledge of the factors that contribute most to risks of crop damage, as well as knowledge of effective area-wide strategies based on agronomic measures, such as crop rotation. In Italy and Croatia, agronomic and cultural factors in fields damaged by WCR were evaluated through a long-term survey. Based on the survey results, high-WCR densities contribute most to risks of damage to maize. Extensive field research in north-eastern Italy compared large areas of continuous maize production with areas under different crop rotation systems (i.e., a structural one with one-time maize planting in a three-year rotation and a flexible one with continuous maize planting interrupted when beetle populations exceed the threshold). The objective was to evaluate the effectiveness of different rotation regimes as possible best practices for WCR management. Captures of beetles in yellow sticky traps, root damage, larval densities, and damage to maize plants (e.g., lodging) were assessed at the center of each area. The results demonstrated the both structural and flexible crop rotation systems were effective strategies for maintaining WCR below damage threshold densities without the need for insecticides.
Automatic Assistant for Better Mobility and Improved Cognition of Partially Sighted Persons

In these paper we introduce a novel computer vision assistant for autonomous navigation of partially sighted people. We begin by detecting any type of static and dynamic obstacle present in the scene. Then, we introduce an adapted version of HOG (Histogram of Oriented Gradients) descriptor incorporated into the BoVW (Bag of Visual Words) retrieval framework and demonstrate how this combination can be used for obstacle classification. The design is completed with an acoustic feedback that alert user of potential hazards. The audio bone conduction is employed to allow the visually impaired to hear other sounds from the environment. At the hardware level, the system is totally integrated on a smartphone which makes it easy to wear, non-invasive and low-cost.
Advances in multi-band microstrip filters

1. Introduction Vesna Crnojevic-Bengin 2. Design methods of multi-band filters Nikolina Jankovic, Vesna Crnojevic-Bengin, Petrie Meyer and Jia-Sheng Hong 3. Techniques for the synthesis of multi-band transfer functions Gerdus Brandt, Riana Geschke and Petrie Meyer 4. Compact microwave multi-band bandpass filters based on quarter-wavelength resonators Nikolina Jankovic and Vesna Crnojevic-Bengin 5. Dual-band filters based on grounded patch resonators Vasa Radonic, Riana Geschke and Vesna Crnojevic-Bengin 6. Fractal-based multi-band microstrip filters Nikolina Jankovic, Kiril Zemlyakov, Riana Geschke, Irina Vendik and Vesna Crnojevic-Bengin 7. Multi-band microstrip filters based on near-zero metamaterials Vesna Crnojevic-Bengin, Norbert Cselyuszka, Nikolina Jankovic and Riana Geschke 8. Miniature microwave filters using multilayer technologies Irina Vendik, D. Kholodnyak, V. Turgaliev, A. Rusakov, Shilong Qian, Jia Ni and Jia-Sheng Hong.
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method

White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the immune system. They are also known as “defender cells. ” But the imbalance in the number of WBCs in the blood can be hazardous. Leukemia is the most common blood cancer caused by an overabundance of WBCs in the immune system. Acute lymphocytic leukemia (ALL) usually occurs when the bone marrow creates many immature WBCs that destroy healthy cells. People of all ages, including children and adolescents, can be affected by ALL. The rapid proliferation of atypical lymphocyte cells can cause a reduction in new blood cells and increase the chances of death in patients. Therefore, early and precise cancer detection can help with better therapy and a higher survival probability in the case of leukemia. However, diagnosing ALL is time-consuming and complicated, and manual analysis is expensive, with subjective and error-prone outcomes. Thus, detecting normal and malignant cells reliably and accurately is crucial. For this reason, automatic detection using computer-aided diagnostic models can help doctors effectively detect early leukemia. The entire approach may be automated using image processing techniques, reducing physicians' workload and increasing diagnosis accuracy. The impact of deep learning (DL) on medical research has recently proven quite beneficial, offering new avenues and possibilities in the healthcare domain for diagnostic techniques. However, to make that happen soon in DL, the entire community must overcome the explainability limit. Because of the black box operation's shortcomings in artificial intelligence (AI) models' decisions, there is a lack of liability and trust in the outcomes. But explainable artificial intelligence (XAI) can solve this problem by interpreting the predictions of AI systems. This study emphasizes leukemia, specifically ALL. The proposed strategy recognizes acute lymphoblastic leukemia as an automated procedure that applies different transfer learning models to classify ALL. Hence, using local interpretable model-agnostic explanations (LIME) to assure validity and reliability, this method also explains the cause of a specific classification. The proposed method achieved 98.38% accuracy with the InceptionV3 model. Experimental results were found between different transfer learning methods, including ResNet101V2, VGG19, and InceptionResNetV2, later verified with the LIME algorithm for XAI, where the proposed method performed the best. The obtained results and their reliability demonstrate that it can be preferred in identifying ALL, which will assist medical examiners.
Climate change is impacting mental health in North America: A systematic scoping review of the hazards, exposures, vulnerabilities, risks and responses

Abstract As climate change progresses, it is crucial that researchers and policymakers understand the ways in which climate-mental health risks arise through interactions between climate hazards, human exposure and social vulnerabilities across time and location. This scoping review systematically examined the nature, range and extent of published research in North America that investigates climate-mental health interactions. Five electronic databases were searched and two independent reviewers applied pre-determined criteria to assess the eligibility of articles identified in the search. Eighty-nine articles were determined to be relevant and underwent data extraction and analysis. The published literature reported on numerous exposure pathways through which acute and chronic climate hazards interacted with social vulnerabilities to increase mental health risks, including wellbeing, trauma, anxiety, depression, suicide and substance use. This review also highlights important gaps within the North American climate-mental health evidence base, including minimal research conducted in Mexico, as well as a lack of studies investigating climate-mental health adaptation strategies and projected future mental health risks. Further research should support effective preparation for and adaptation to the current and future mental health impacts of climate change. Such strategies could reduce health risks and the long-term mental health impacts that individuals and communities experience in a changing climate.
A Novel High Content Angiogenesis Assay Reveals That Lacidipine, L-Type Calcium Channel Blocker, Induces In Vitro Vascular Lumen Expansion

Angiogenesis is a critical cellular process toward establishing a functional circulatory system capable of delivering oxygen and nutrients to the tissue in demand. In vitro angiogenesis assays represent an important tool for elucidating the biology of blood vessel formation and for drug discovery applications. Herein, we developed a novel, high content 2D angiogenesis assay that captures endothelial morphogenesis’s cellular processes, including lumen formation. In this assay, endothelial cells form luminized vascular-like structures in 48 h. The assay was validated for its specificity and performance. Using the optimized assay, we conducted a phenotypic screen of a library containing 150 FDA-approved cardiovascular drugs to identify modulators of lumen formation. The screening resulted in several L-type calcium channel blockers being able to expand the lumen space compared to controls. Among these blockers, Lacidipine was selected for follow-up studies. We found that the endothelial cells treated with Lacidipine showed enhanced activity of caspase-3 in the luminal space. Pharmacological inhibition of caspase activity abolished the Lacidipine-enhancing effect on lumen formation, suggesting the involvement of apoptosis. Using a Ca2+ biosensor, we found that Lacipidine reduces the intracellular Ca2+ oscillations amplitude in the endothelial cells at the early stage, whereas Lacidipine blocks these Ca2+ oscillations completely at the late stage. The inhibition of MLCK exhibits a phenotype of lumen expansion similar to that of Lacidipine. In conclusion, this study describes a novel high-throughput phenotypic assay to study angiogenesis. Our findings suggest that calcium signalling plays an essential role during lumen morphogenesis. L-type Ca2+ channel blockers could be used for more efficient angiogenesis-mediated therapies.
Lung Extracellular Matrix Hydrogels Enhance Preservation of Type II Phenotype in Primary Alveolar Epithelial Cells

One of the main limitations of in vitro studies on lung diseases is the difficulty of maintaining the type II phenotype of alveolar epithelial cells in culture. This fact has previously been related to the translocation of the mechanosensing Yes-associated protein (YAP) to the nuclei and Rho signaling pathway. In this work, we aimed to culture and subculture primary alveolar type II cells on extracellular matrix lung-derived hydrogels to assess their suitability for phenotype maintenance. Cells cultured on lung hydrogels formed monolayers and maintained type II phenotype for a longer time as compared with those conventionally cultured. Interestingly, cells successfully grew when they were subsequently cultured on a dish. Moreover, cells cultured on a plate showed the active form of the YAP protein and the formation of stress fibers and focal adhesions. The results of chemically inhibiting the Rho pathway strongly suggest that this is one of the mechanisms by which the hydrogel promotes type II phenotype maintenance. These results regarding protein expression strongly suggest that the chemical and biophysical properties of the hydrogel have a considerable impact on the transition from ATII to ATI phenotypes. In conclusion, culturing primary alveolar epithelial cells on lung ECM-derived hydrogels may facilitate the prolonged culturing of these cells, and thus help in the research on lung diseases.
Wideband leaky‐wave antenna with consistent gain and wide beam scanning angle based on multilayered substrate integrated waveguide composite right/left‐handed transmission line

In this article, a wideband leaky‐wave antenna is designed for consistent gain and wide beam scanning angle by using the proposed multilayered substrate integrated waveguide (SIW) composite right/left‐handed transmission line (CRLH TL). The proposed SIW CRLH structure consists of two parts: an interdigital fingers slot of rotating 45° etched on the upper ground of the SIW, and a rotated parasitic patch beneath the slot. Due to the continuous phase constants change from negative to positive values of the proposed SIW‐CRLH under the balanced condition, the designed LWA can achieves a continuous beam‐scanning property from backward to forward over the operating frequency band. The designed antenna is fabricated and measured, the measured and simulated results are in good agreements with each other, indicating that the designed antenna obtains a measured continuous main beam scanning from backward −78° to forward +76° over the frequency range from 7.7 to 12.8 GHz with a consistent gain of more than 9.5 dB. Besides, the designed antenna also exhibits a measured 3‐dB gain bandwidth of 45.1% with maximum gain of 15 dB. © 2016 Wiley Periodicals, Inc. Int J RF and Microwave CAE 26:731–738, 2016.
Team-Based Learning Experiences of Nursing Students in a Health Assessment Subject: A Qualitative Study

Health assessment as a subject comprises knowledge and practices in which health problems are identified by collecting individual health data. As the subject requires fast learning of voluminous content, it becomes cumbersome. Team-based learning (TBL) has been proposed as an effective teaching and learning strategy in such situations. This study aimed to explore the lived TBL experiences of nursing students from their perspectives in a health assessment subject. This study adopted a qualitative research method. TBL was applied in a health assessment subject at a university in South Korea, as a 2-credit course for 16 weeks. Twelve sophomore nursing students who enrolled in a health assessment subject were the participants. Data were collected through individual in-depth interviews and analyzed using Colaizzi’s method. The results contained twelve themes categorized into five theme clusters: “Getting ready for learning”, “Effective class promoting concentration and immersion”, “Proactive participation in a non-hierarchical learning environment”, “Complementary collaboration”, and “Sense of burden”. The findings suggest that TBL is an effective teaching and learning strategy for the discipline, imparting positive experiences such as class engagement, teamwork, learning outcomes, and improvement of problem-solving skills if students’ role conflicts and continuous learning burden can be addressed.
Unraveling the contribution of potential evaporation formulation to uncertainty under climate change

Abstract. The increasing air temperature in a changing climate will impact actual evaporation and have consequences for water resource management in energy-limited regions. In many hydrological models, evaporation is assessed using a preliminary computation of potential evaporation (PE), which represents the evaporative demand of the atmosphere. Therefore, in impact studies, the quantification of uncertainties related to PE estimation, which can arise from different sources, is crucial. Indeed, a myriad of PE formulations exist, and the uncertainties related to climate variables cascade into PE computation. To date, no consensus has emerged on the main source of uncertainty in the PE modeling chain for hydrological studies. In this study, we address this issue by setting up a multi-model and multi-scenario approach. We used seven different PE formulations and a set of 30 climate projections to calculate changes in PE. To estimate the uncertainties related to each step of the PE calculation process, namely Representative Concentration Pathway (RCP) scenarios, general circulation models (GCMs), regional climate models (RCMs) and PE formulations, an analysis of variance (ANOVA) decomposition was used. Results show that mean annual PE will increase across France by the end of the century (from +40 to +130 mm y−1). In ascending order, uncertainty contributions by the end of the century are explained by PE formulations (below 10 %), RCPs (above 20 %), RCMs (30 %–40 %) and GCMs (30 %–40 %). However, under a single scenario, the contribution of the PE formulation is much higher and can reach up to 50 % of the total variance. All PE formulations show similar future trends, as climatic variables are co-dependent with respect to temperature. While no PE formulation stands out from the others, the Penman–Monteith formulation may be preferred in hydrological impact studies, as it is representative of the PE formulations' ensemble mean and allows one to account for the coevolution of climate and environmental drivers.