Miracle-dz/UniFAR-FTUs huggingface dataset:
Regional Variation in Forest Canopy Height and Implications for Koala (Phascolarctos cinereus) Habitat Mapping and Forest Management

Previous research has shown that the Koala (Phascolarctos cinereus) prefers larger trees, potentially making this a key factor influencing koala habitat quality. Generally, tree height is considered at regional scales which may overlook variation at patch or local scales. In this study, we aimed to derive a set of parameters to assist in classifying koala habitat in terms of tree height, which can then be used as an overlay for existing habitat maps. To determine canopy height variation within a specific forest community across a broad area in eastern Australia, we used freely available Airborne Laser Scanning (ALS) data and adopted a straightforward approach by extracting maximum-height ALS returns within a total of 288 30 m × 30 m “virtual” ALS plots. Our findings show that while maximum tree heights generally fall within published regional-scale parameters (mean height 33.2 m), they vary significantly between subregions (mean height 28.8–39.0 m), within subregions (e.g., mean height 21.3–29.4 m), and at local scales, the tree heights vary in response to previous land-use (mean height 28.0–34.2 m). A canopy height dataset useful for habitat management needs to recognise and incorporate these variations. To examine how this information might be synthesised into a usable map, we used a wall-to-wall canopy height map derived from ALS to investigate spatial and nonspatial clustering techniques that capture canopy height variability at both intra-subregional (100s of hectares) and local (60 hectare) scales. We found that nonspatial K-medians clustering with three or four height classes is suited to intra-subregional extents because it allows for simultaneous assessment and comparison of multiple forest community polygons. Spatially constrained clustering algorithms are suited to individual polygons, and we recommend the use of the Redcap algorithm because it delineates contiguous height classes recognisable on a map. For habitat management, an overlay combining these height classification approaches as separate attributes would provide the greatest utility at a range of scales. In addition to koala habitat management, canopy height maps could also assist in managing other fauna; identifying forest disturbance, regenerating forest, and old-growth forest; and identifying errors in existing forest maps.
Measuring and evaluating physical strain to improve construction workforce productivity

Anecdotal evidence suggests that there is a reciprocal relationship between physical strain and workforce productivity and safety performance. Hence, a monitoring technology able to assess physical strain through the analysis of workers’ physiological parameters may be an important step in improving safety and productivity. However, clear relationships between physical strain, safety, and productivity have yet to be determined. Moreover, previous studies showed limitations regarding the monitoring of physiological parameters. Innovative monitoring devices, called Physiological Status Monitors (PSMs), have overcome the past limitations enabling real-time monitoring of workers’ physiological parameters. Thus, this research evaluated PSM suitability for construction workforce monitoring by investigating the construction industry’s perspective through a questionnaire survey. Moreover, three off-the-shelf PSMs were tested to assess their validity in monitoring physiological parameters during dynamic activities similar to construction workforce’s routine activities. Ten subjects participated in the experiments for a total of over 35 hours of recorded data.
Testing the CMIP6 GCM Simulations versus Surface Temperature Records from 1980–1990 to 2011–2021: High ECS Is Not Supported

The last-generation CMIP6 global circulation models (GCMs) are currently used to interpret past and future climatic changes and to guide policymakers, but they are very different from each other; for example, their equilibrium climate sensitivity (ECS) varies from 1.83 to 5.67 °C (IPCC AR6, 2021). Even assuming that some of them are sufficiently reliable for scenario forecasts, such a large ECS uncertainty requires a pre-selection of the most reliable models. Herein the performance of 38 CMIP6 models are tested in reproducing the surface temperature changes observed from 1980–1990 to 2011–2021 in three temperature records: ERA5-T2m, ERA5-850mb, and UAH MSU v6.0 Tlt. Alternative temperature records are briefly discussed but found to be not appropriate for the present analysis because they miss data over large regions. Significant issues emerge: (1) most GCMs overestimate the warming observed during the last 40 years; (2) there is great variability among the models in reconstructing the climatic changes observed in the Arctic; (3) the ocean temperature is usually overestimated more than the land one; (4) in the latitude bands 40° N–70° N and 50° S–70° S (which lay at the intersection between the Ferrel and the polar atmospheric cells) the CMIP6 GCMs overestimate the warming; (5) similar discrepancies are present in the east-equatorial pacific region (which regulates the ENSO) and in other regions where cooling trends are observed. Finally, the percentage of the world surface where the (positive or negative) model-data discrepancy exceeds 0.2, 0.5 and 1.0 °C is evaluated. The results indicate that the models with low ECS values (for example, 3 °C or less) perform significantly better than those with larger ECS. Therefore, the low ECS models should be preferred for climate change scenario forecasts while the other models should be dismissed and not used by policymakers. In any case, significant model-data discrepancies are still observed over extended world regions for all models: on average, the GCM predictions disagree from the data by more than 0.2 °C (on a total mean warming of about 0.5 °C from 1980–1990 to 2011–2021) over more than 50% of the global surface. This result suggests that climate change and its natural variability remain poorly modeled by the CMIP6 GCMs. Finally, the ECS uncertainty problem is discussed, and it is argued (also using semi-empirical climate models that implement natural oscillations not predicted by the GCMs) that the real ECS could be between 1 and 2 °C, which implies moderate warming for the next decades.
Matching the Cellulose/Silica Films Surface Properties for Design of Biomaterials That Modulate Extracellular Matrix

The surface properties of composite films are important to know for many applications from the industrial domain to the medical domain. The physical and chemical characteristics of film/membrane surfaces are totally different from those of the bulk due to the surface segregation of the low surface energy components. Thus, the surfaces of cellulose acetate/silica composite films are analyzed in order to obtain information on the morphology, topography and wettability through atomic force microscopy (AFM), X-ray photoelectron spectroscopy (XPS) and contact angle investigations. The studied composite films present different surface properties depending on the tetraethyl orthosilicate (TEOS) content from the casting solutions. Up to a content of 1.5 wt. % TEOS, the surface roughness and hydrophobicity increase, after which there is a decrease in these parameters. This behavior suggests that up to a critical amount of TEOS, the results are influenced by the morphology and topographical features, after which a major role seems to be played by surface chemistry—increasing the oxygenation surfaces. The morphological and chemical details and also the hydrophobicity/hydrophilicity characteristics are discussed in the attempt to design biological surfaces with optimal wettability properties and possibility of application in tissue engineering.
RESILIENT MODULUS PROPERTIES OF NEW JERSEY SUBGRADE SOILS

To effectively and economically design pavement systems, subgrade response must be evaluated. Understanding the importance of subgrade soil response to various loading conditions, the American Association of State Highway and Transportation Officials (AASHTO) and the Strategic Highway Research Program (SHRP) established and refined a Standard Test Method for Determining the Resilient Modulus of Soils and Aggregate Materials. Mechanistic design methods for flexible pavements require the specification of subgrade resilient modulus. The resilient modulus is measured under laboratory conditions that should reflect the conditions the subgrades are subjected to in the field. In this study, a laboratory-testing program was developed to determine the resilient modulus of typical New Jersey subgrade soils. A total of eight soils were tested at different molded water contents to determine their sensitivity to moisture content and cyclic stress ratio. Repeated loading or pumping of the pavement system may induce excess pore water pressure within the subgrade layer thereby reducing the resilient modulus, leading to the premature failure of the pavement. A sensitivity analysis was conducted using an elastic layer computer program to demonstrate the effect of subgrade stiffness on the design thickness of the asphalt layer. As expected, the subgrade stiffness has a dramatic effect on the eventual thickness of the asphalt layer. Laboratory results were used to calibrate a statistical model for effectively predicting the resilient modulus of subgrade soils at various moisture contents and stress ratios. This model will prove to be a valuable tool for pavement engineers to effectively and economically design a pavement system.
Impact of Environmental Conditions and Management on Soil Arthropod Communities in Vineyard Ecosystems

The importance of soil biodiversity and soil-based ecosystem services in the context of viticulture has recently been emphasized. Over 85% of soil fauna species richness is represented by edaphic arthropod communities. Edaphic arthropod responses to soil characteristics and management practices can be considered as good bioindicators of soil quality. Here, 168 soil samples that were collected from 2014 to 2019 in several vineyards of different Italian wine-growing areas were analyzed to explore how arthropod communities respond to several factors that are characteristic of vineyard ecosystems. The analysis of the combined effects of the primary abiotic variables (the chemical and physical characteristics of soil) and management practices (organic vs. conventional, soil inter-row management) on soil biological quality (assessed by QBS-ar index) identified soil temperature and soil texture as the abiotic factors exerting the most significant effect on the QBS-ar values. Organic vineyards exhibited higher QBS-ar values compared to those of conventionally managed vineyards, and subsoiling negatively influenced the soil biological quality.
Por que o Brasil não precisa de política industrial

This article discusses the convenience of adopting industrial policy in Brazil. We argue that the success of East Asian countries, usually explained by industrial policy, is mainly result of horizontal policies. We also show that there are not theoretical or empirical foundations in most of the arguments used to justify industrial policy and that industrial policy must be motivated by market failures. We briefly discuss what market failures theoretically justify industrial policy, what the empirical relevance of these failures and what the most adequate instruments to be used in case of public intervention. From this perspective, we analyze the Brazilian industrial policy, such as described in Brasil (2003). Finally, we conclude that horizontal policies, besides to be less subject to the influence of self-interested groups, have more potential to foster Brazilian growth.
HCE: A Runtime System for Efficiently Supporting Heterogeneous Cooperative Execution

Heterogeneous systems with multiple different compute devices have come into common use recently, and the heterogeneity of the compute device is mainly reflected in three aspects: hardware architecture, instruction set architecture, and processing capability. Heterogeneous CPU-accelerator systems have attracted increasing attention especially. To make full use of multiple CPUs and accelerators to execute data-parallel applications, programmers may need to manually map computation and data to all available compute devices, which is tedious, error-prone, and difficult. Especially for some data-parallel applications, the inter-device communication could easily become the performance bottleneck of multi-device co-execution. Therefore, firstly, a runtime system is designed for supporting heterogeneous cooperative execution (HCE) of data-parallel applications, which can help programmers to automatically and efficiently map computation and data to multiple compute devices. Secondly, an incremental data transfer method is designed to avoid redundant data transfers between devices, and a three-way overlapping communication optimization method based on software pipelining is designed to effectively hide the inter-device communication overhead. Based on our previously proposed feedback-based dynamic and elastic task scheduling (FDETS) scheme and asynchronous-based dynamic and elastic task scheduling (ADETS) scheme, the modified FDETS that supports incremental data transfer and the modified ADETS that supports three-way overlapping communication optimization are proposed, which not only can effectively partition and balance the workload among multiple compute devices but also can significantly reduce data transfer overhead between devices. Thirdly, a prototype of the proposed runtime system is implemented, which provides a set of runtime APIs for task scheduling, device management, memory management, and transfer optimization. Our experimental results show that the communication overhead between devices is greatly reduced using the proposed inter-device communication optimization methods and the multi-device co-execution significantly outperforms the best single-device execution.
Comparative studies on ages of rootstock seedlings and grafting methods in cashew (anacardium occidentale L.)

The age ofrootstock and method of grafting cashew seedlings were evaluated in a randomized complete block design with four replications at the Department of Horticulture, KNUST, Kumasi. Four rootstock ages evaluated were 8, 12, 16 and 20 weeks whilst the grafting methods were apical side veneer (ASV), side grafting (SG) and wedge grafting (WG). Percentage success was recorded 56 days after grafting. Wedge grafting method proved most successful, giving the maximum percentage sprouting of the scion whilst apical side veneer gave the least percentage success. There was a gradual increase in graft mortality with an increase in the age of the rootstock seedlings. Eight weeks old rootstock seedlings gave the best results. The results suggested that grafting success in cashew was influenced more by the grafting method employed than the age of the rootstock. The study recommends wedge grafting method of vegetative propagation in cashew on eight week old rootstock.
Costs of logging thinnings and a clearcutting in Appalachia using a truck-mounted crane

Four timber cutting treatments - three levels of thinning and a clearcutting - were applied on 60-year-old mountain stands of Allegheny hardwoods. The stands were logged by a three-man crew using chain saws and a truck-mounted crane. Logging operations were studied, and production rates determined for tree-length logs decked at roadside. Work efficiency and productivity of the logging crew were somewhat higher on the thinning operations than on the clearcut. Labor, equipment, and road construction costs were determined and applied to production rates. Comparison of logging costs among the four cutting treatments showed that the cost of wood decked at roadside was less for thinnings than for clearcutting. Silvicuitural and environmental considerations of truck-crane logging are discussed.
Teacher Accountability Using Teacher Appraisal: Perceptions of Senior High School Heads in Central Region, Ghana

A study using the mixed-method approach that utilized a non-experimental survey and basic interpretive designs was conducted to measure teacher accountability through teacher appraisal. Closed-ended Likert-type questionnaire and semi-structured interview protocol were used to collect data from the study respondents consisting of heads of senior high schools in Central region of Ghana. Data collected were analyzed using descriptive statistics and identification of emerging themes. Major findings reported in the study were that respondents adopted a systematic and organized approach that allows for the setting of achievable goals and development of blueprint to conduct teacher appraisal. The use of teacher appraisal is restricted to facilitate mainly the managerial duties of the school head with little attention focused on teacher growth and development. A key recommendation was that school heads should align teacher appraisal with the strategic goals of the school improvement plan.
Thymodepressin—Unforeseen Immunosuppressor

The paper summarizes the available information concerning the biological properties and biomedical applications of Thymodepressin. This synthetic peptide drug displays pronounced immunoinhibitory activity across a wide range of conditions in vitro and in vivo. The history of its unforeseen discovery is briefly reviewed, and the current as well as potential expansion areas of medicinal practice are outlined. Additional experimental evidence is obtained, demonstrating several potential advantages of Thymodepressin over another actively used immunosuppressor drug, cyclosporin A.
GntR-like SCO3932 Protein Provides a Link between Actinomycete Integrative and Conjugative Elements and Secondary Metabolism

Streptomyces bacteria produce a plethora of secondary metabolites including the majority of medically important antibiotics. The onset of secondary metabolism is correlated with morphological differentiation and controlled by a complex regulatory network involving numerous regulatory proteins. Control over these pathways at the molecular level has a medical and industrial importance. Here we describe a GntR-like DNA binding transcription factor SCO3932, encoded within an actinomycete integrative and conjugative element, which is involved in the secondary metabolite biosynthesis regulation. Affinity chromatography, electrophoresis mobility shift assay, footprinting and chromatin immunoprecipitation experiments revealed, both in vitro and in vivo, SCO3932 binding capability to its own promoter region shared with the neighboring gene SCO3933, as well as promoters of polyketide metabolite genes, such as cpkD, a coelimycin biosynthetic gene, and actII-orf4—an activator of actinorhodin biosynthesis. Increased activity of SCO3932 target promoters, as a result of SCO3932 overproduction, indicates an activatory role of this protein in Streptomyces coelicolor A3(2) metabolite synthesis pathways.
The Added Value of Art for the Well-Being of Older People with Chronic Psychiatric Illnesses and Dementia Living in Long-Term Care Facilities, and on the Collaboration between Their Caregivers and Artists

This study sought to provide insight into how art activities influence the well-being of long-term care residents, and how artists and caregivers collaborate in offering these activities. In two long-term care facilities for people with dementia and one for older people with chronic psychiatric disorders, an uncontrolled pre- and post-test study was conducted using a mixed-method design. Forty-six residents participated in the study. Three art activities—(a) dance, (b) music and movement, and (c) visual arts—were studied and co-created with the residents and executed by artists and caregivers together in eight to ten weeks. The Face expression scale (FACE) was used to examine the extent to which participating in the art activity influenced resident mood. Qualitative data were collected via group discussions with artists, caregivers, residents, and an informal caregiver. The results indicated that participating in an art activity positively influenced resident mood (p < 0.000). p-values for the three art activities were: p < 0.000 for dance, p = 0.048 for music and movement, and p = 0.023 for visual arts. The qualitative data revealed that joining an art activity provided a positive effect, increased social relationships, and improved self-esteem for residents. The collaboration between artists and caregivers stimulated creativity, beauty, and learning from each other, as well as evoking emotions.
Factors Influencing Curriculum Leadership of Primary and Secondary School Teachers from the Perspective of Field Dynamic Theory: An Empirical Investigation in China

Teacher curriculum leadership is in urgent demand to promote the sustainable advancement of curriculum reform, and an important guarantee for the sustainable development of students. It is of important theoretical and practical significance to clarify the influencing factors of the use and the development of teachers’ curriculum leadership. Based on Lewin’s field dynamic theory, this study conducts a multiple linear regression analysis on the data of 19,521 primary and secondary school teachers in 20 provinces of China, and investigates the influencing factors of teacher curriculum leadership from individual and school fields. The results show that individual field factors are the driving force for teachers to exert and develop curriculum leadership. When teachers have internal leading motivation, the school environment becomes an important inducing force. This finding confirms the realistic rationality of the field dynamic theory, and provides a clear direction for formulating relevant policies and practical plans for enhancing teacher curriculum leadership. That is, it is necessary to fully stimulate the internal motivation of teachers for curriculum leadership, but also to create a school environment for teachers to exercise and develop curriculum leadership.
A Mixed Methods Approach Exploring Risk Factors Associated with Cyber Dating Victimization and Resilience in Adolescents and Emerging Adults

ABSTRACT The use of technology as a communication tool among youth has fostered opportunities for harassment, stalking or pressuring in romantic relationships. There is a paucity of studies exploring the links between childhood victimization experiences and cyber dating violence (DV) and how youth positively adapt to such experiences. This mixed methods study documents the effects of individual, familial, and social risks associated with cyber DV while exploring strenghts and protective factors in victimized youth’s narratives. A sample of 332 heterosexual youths and emerging adults (mean age 19.9 years) completed a survey exploring romantic and sexual trajectories and 16 participants reporting cyber victimization participated in semi-structured interviews. Results indicated that younger age, exposure to interparental violence, neglect, and a lower level of perceived support from a friend predicted cyber DV, whereas gender, emotional violence, sexual abuse, and perceived parental support were not significant predicting factors. When facing cyber DV and relational difficulties, participants expressed strengths illustrating their resilience: self-regulatory strength (e.g., considering a breakup as an opportunity for self-care), meaning making strength (e.g., thinking that a partner may not have been the right person), and interpersonal strength (e.g., being thankful for support provided by a trusted person). Fostering social support and multiple strengths of youth constitute promising avenues for effective cyber DV interventions.