Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-Driven Many-Objective Crowd Worker Selection for Mobile Crowdsourcing in Industrial IoT

With the development of mobile networks and intelligent equipment, as a new intelligent data sensing paradigm in large-scale sensor applications such as the industrial Internet of Things, mobile crowd sensing (MCS) assigns industrial sensing tasks to workers for data collection and sharing, which has created a bright future for building a strong industrial system and improving industrial services. How to design an effective worker selection mechanism to maximize the utility of crowdsourcing is the research hotspot of mobile sensing technologies. This article studies the problem of least workers selection to make large MCS system perform sensing tasks more effective and achieve certain coverage with certain constraints being meeting. A many-objective worker selection method is proposed to achieve the desired tradeoff and an optimization mechanism is designed based on the enhanced differential evolution algorithm to ensure data integrity and search solution optimality. The effectiveness of the proposed method is verified through a large scale of experimental evaluation datasets collected from real world.
Validez de contenido de la Escala de Autoeficacia Colectiva Docente

espanolLa autoeficacia colectiva docente, entendida como las percepciones compartidas de los docentes de una escuela de que, en conjunto, podran organizar y ejecutar las acciones necesarias para ejercer un efecto positivo en los estudiantes, se relaciono con diferentes variables asociadas a la educacion. A pesar de la importancia que adquirio en los ultimos anos, los instrumentos creados para medirla presentan limitaciones. Por eso, el presente trabajo se propone desarrollar un instrumento para evaluarla y obtener evidencias de validez de contenido. Para ello, se redactaron los items junto con docentes e investigadores, de acuerdo a las seis dimensiones de la autoeficacia docente propuestas por Bandura (2006). Luego se elaboro una prueba de juicio de expertos con una muestra de docentes y otra con una muestra de investigadores. Los items demostraron ser validos en cuanto a su pertinencia y claridad, aunque se encontraron diferencias significativas entre las valoraciones de ambas muestras. EnglishCollective teacher self-efficacy, understood as the shared perceptions of the teachers of a school that, together, they will be able to organize and execute the necessary actions to produce a positive effect on the students, was related to different variables associated to education. Despite the importance it has acquired in recent years, the instruments created to measure it have limitations. For this reason, the present work sets out to develop an instrument to evaluate it and obtain evidence of content validity. To do this, the items were written together with teachers and researchers, according to the six dimensions of teacher self-efficacy proposed by Bandura (2006). Then, an expert judgment test was prepared with a sample of teachers and another one with a sample of researchers. The items proved to be valid in terms of their relevance and clarity, although significant differences were found between the evaluations of both samples.
Wykorzystanie sosny do badań bioindykacyjnych

THE USE OF PINE IN BIOINDICATION STUDY Summary This report presents an outline of the extent and ecology of Scots pine (Pinussylvestris), and its use as a bioindicator in biogeochemical investigation. This report also summarizes the results of investigation performed on one-year (1995),two-year (1994) and three-year (1993) P. sylvestris pine needles from the Holy Cross Mts (south-central Poland). Both the individual tree branches and the geometric mean values showed an increase of Cu, Mg, Ni, P, and somewhat K, as well as a decrease of Al, Ba, Ca, Fe, Hg, Mn, Na,Sr, Ti, and somewhat Pb and Zn going from 1993 through 1995 pine needles. Chemical and sulfur isotope determinations of pine needles relative to pine bark from the same trees indicated that the Cormercontained more B, Ca, K, Mg, Mn, P, S and Zn. The high content (over ten times) of K, Mg and Mn should be stressed here. In turn, the bark showed more Ba, Cr, Fe, Hg, Pb and Ti, as well as in major samples Al. Of the aforementioned elements, Pb revealed the highest concentration ratio (close to 10). The chemical analyses of soils indicated the raised content of many elements, especially Cd, Hg, Mn, Pb and S, in uppermost horizon (Al). OC these elements, mercuryreaching0.704 ppm, lead 466 pm, and sulfur 0.231 % are a concern. The most contaminated site isŁysica, the tallest mountain of the region. The geometric mean values of a large number of elements, especially Hg and S, were higher in the Holy Cross Mts than those in Poland, and even the highly industrialized Upper Silesian region. Sulfur as well as major and trace elements are derived primarily from atmospheric emissions, which is evidenced by a relatively similar distribution pattern of the δ34S in pine needles, topsoil (horizon Al) and local industrial material, i.e., stack dust, coal and coke. The investigation is ongoing and includes, aside from pine needles, such media as topsoil, lower soil, bedrock, lichens, spring waters, stack dust, feedstock and fuel.
A novel sulfamethazine-based pH-sensitive copolymer for injectable radiopaque embolic hydrogels with potential application in hepatocellular carcinoma therapy

Transcatheter arterial chemoembolization (TACE) has been the mainstay palliative therapy for unresectable hepatocellular carcinoma (HCC). The conventional TACE systems, comprising of a drug-in-oil emulsion and embolic materials, have been reported to be inconsistent and unable to provide the controlled release of anticancer drugs. To overcome these limitations, we have developed a liquid embolic material formulated from a novel biodegradable pH-sensitive multiblock copolymer that can be intraarterially injected into hepatic tumor sites via microcatheter, and exhibits a sol-to-gel phase transition in response to the local environment to form hydrogels as depots for controlled release of anticancer drugs and suppression of tumor growth. The anionic block copolymer, comprising of poly(e-caprolactone-co-lactide) (PCLA), poly(ethylene glycol) (PEG) and poly(urethane sulfide sulfamethazine) (PUSSM), named PCLA-PUSSM, was synthesized and characterized. In aqueous solution, the prepared copolymer existed as a liquid at high pH (8.5) and exhibited a sol-to-gel phase transition with decreasing pH. The release of doxorubicin (DOX) from PCLA-PUSSM hydrogels was controlled in a sustained fashion, and the released DOX retained its bioactivity. Radiopaque embolic materials prepared by mixing PCLA-PUSSM copolymer solutions with X-ray contrast agents (e.g., Lipiodol® or Iohexol) and DOX could easily be intraarterially injected to a rabbit hepatic tumor using a microcatheter, and formed hydrogels for chemoembolization. Importantly, after intraarterial injection of the DOX loaded hydrogel into the tumor of a VX2 rabbit tumor model, the formed hydrogel inhibited the tumor growth at 2 weeks post-injection. This hydrogel system provides a potential radiopaque chemoembolization candidate for HCC and other cancer therapies.
The Effect of Hydroxyl Ethyl Cellulose (HEC) and Hydrophobically-Modified Alkali Soluble Emulsions (HASE) on the Properties and Quality of Water Based Paints

The coatings industry is a million dollar business and it is easy and inexpensive to set-up but it is growing very slowly in developing countries and this study developed a paint formulation which gives better quality and good application properties. The effect of rheology modifiers, i.e. non-ionic polymers hydrophobically-modified ethoxylated urethanes (HEUR), anionic polymers hydrophobically-modified alkali soluble emulsions (HASE) and hydroxyl ethyl cellulose (HEC) on the quality and properties of water based paints have been investigated. HEC provides the in-can viscosity and increase open working time while HASE improves application properties like spatter resistance and brush loading and HEUR provides excellent scrub resistance. Four paint recipes were prepared using four different thickeners HEC, HASE (carbopol) and Cellulose nitrate. The fourth formulation was thickened with a combination of HASE and HEC, this aimed at improving quality and at the same time reducing cost. The four samples were tested for quality tests such viscosity, sag resistance, volatile matter, tinter effect, drying times, hiding power, scrub resistance and stability on storage. Environmental factors were incorporated in the attempt to formulate an economic and green product. 2 Sandile S. Gwebu and Haleden Chiririwa Hydroxyl ethyl cellulose and cellulose nitrate gave high quality and good properties of the paint. HEC and Cellulose nitrate showed stability on storage whereas carbopol thickener was very unstable.
What does it mean to feel small? Three dimensions of the small self

ABSTRACT Despite growing interest in the “small self”, there is little clarity about what it means and how it should be measured. Three studies (N=922) identified three constructs: (1) self-size (metaphorical experiences of smallness), (2) vastness relative to the self (feeling the presence of something bigger than the self) and (3) self-perspective (feeling as though one’s day-to-day concerns are trivial in the big picture). Each dimension had a distinct psychological signature: self-perspective was associated with less ethical decision-making, perceived self-size shared negative correlations with self-esteem and collective identification, and vastness relative to the self was associated with high levels of self-esteem and collective identification. The data suggest that awareness of vaster forces represents psychological expansion (rather than shrinking) of the self.
Encapsulation of semantic description with syntactic components for the Arabic language

The work presents new theoretical equipment for the representation of natural languages (NL) in computers. Linguistics: morphology, semantics, and syntax are also presented as components of subtle computer science that form. A structure and an integrated data system. The presented useful theory of language is a new method to learn the language by separating the fields of semantics and syntax.
Calcification detection for intravascular ultrasound image using direct acyclic graph architecture: pre-trained model for 1-channel image

Coronary artery calcification is a calcium buildup within the walls of the arteries. It is considered a predominant marker for coronary artery disease. Thus many approaches have been developed for the automatic detection of calcification. The previous calcification detection was on segmentation of other structures as pre-processing steps or using the fact that the calcification often appears as a bright region. In this paper, an automated system proposed using a deep learning approach to detect the calcification absence and calcification presence in coronary artery IVUS image. A useful advantage of deep learning, compared to other methods is, it uses representations and features directly from the raw data, bypassing the need to manually extract features, a common that required in the traditional machine learning framework. The type of deep learning architecture used is 27 layers of convolutional neural networks (CNNs) using Direct Acyclic Graph. The proposed system used 2175 images and achieved an accuracy of 98.16% for Cartesian coordinate images and 99.08% for Polar Reconstructed Coordinate images.
Family Building Desires among a Sample of Transgender and Nonbinary Students

Abstract Transgender and nonbinary (TNB) individuals may elect gender-affirming treatment that may affect their ability to have genetically-related children. The purpose of this study was to explore how the family-building goals of TNB college and graduate students shaped decisions about fertility preservation and gender-affirming care. Participants (N = 39) completed a phone interview and demographic survey about their experiences in higher education. Several themes developed as important in shaping TNB students’ family-related desires, including gender-affirming treatment priorities, and partner and financial considerations. Therapists and medical professionals can support this population by expanding family planning counseling options and providing sufficient counseling on the effects of gender affirming care.
Intelligent sponge with reversibly tunable super-wettability: robust for effective oil–water separation as both the absorber and filter tolerate fouling and harsh environments

We fabricate an intelligent and robust sponge by a one-step and low-cost ultrasonic-assisted dip coating (UADC) method, which involves the modification of the commercial sponge with TiO2 nanoparticles and a low-surface-energy compound (octadecanoic acid). The as-prepared sponge shows intelligent reversibly tunable super-wettability and exhibits robustness for effective oil–water separation. It can act as both the absorber and filter for the highly efficient separation of oil–water mixtures under different super-wettability conditions. More importantly, it has remarkably high chemical stability, which can separate oil–water mixtures in the extremely high acidic and alkaline environments as well as the extremely high salt concentration of seawater (such as 10 M H2SO4 and NaOH, and saturated NaCl media). Meanwhile, the as-prepared sponge has excellent antifouling ability, which shows self-cleaning performance during multiple fouling cycles. These extraordinary properties suggest that the as-prepared sponge will be a promising candidate for large-scale oil–water separation.
Further Probing the Mechanisms Driving Projected Subtropical Decreases of Extreme Precipitation Intensity.

Regional projections of extreme precipitation intensity (EPI) are strongly influenced by regional projections of “extreme ascent,” i.e. ascending air during periods of extreme precipitation. Earlier studies have performed analysis suggesting that long-term changes in eddy length scale and vertical stability are key factors influencing extreme ascent projections, but these mechanisms have yet to be confirmed with controlled model experiments. In this study, we perform such controlled experiments using a cloud-resolving model (CRM). The selected CRM domains are two locations over the subtropical South Atlantic Ocean where global climate models consistently project weakening of extreme ascent with accordingly decreased EPI. At each study location, three pairs of 20-year maximum precipitation events are simulated with the CRM, with each pair consisting of an event during the historical period (1981-2000) and an event during the future period (2081-2100), with large-scale forcings for the three pairs derived from three different members of an initial condition ensemble of the Canadian Earth System Model version 2 (CanESM2). These experiments reveal that, in both study locations, weakening of differential cyclonic vorticity advection (dCVA) is a key driver of projected decreases in extreme ascent and EPI. Weakening of dCVA is expected in accordance with hydrostatic balance because, as temperatures warm, the pressure spacing between geopotential surfaces increases. Although there is evidence that the CRM is more sensitive to dCVA changes than CanESM2, such a dCVA mechanism may nonetheless be important to consider for EPI changes in the real world.
Topic Modeling for Makerspace Artifact Analysis

As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors. Identifying trends in what participants are making is important to makerspace leaders who seek to understand the impact of the making phenomenon on the world or who are interested in broadening participation within their own maker contexts. This paper shows how topic modeling by means of LDA can be used to analyze maker artifacts, and illustrates how these types of insights can be used to make inferences about the making phenomenon, as well as to inform efforts to broaden participation.
Organic matter cycling along geochemical, geomorphic and disturbance gradients in forests and cropland of the African Tropics – Project TropSOC Database Version 1.0

Abstract. The African Tropics are hotspots of modern-day land-use change and are, at the same time, of great relevance for the cycling of carbon (C) and nutrients between plants, soils and the atmosphere. However, the consequences of land conversion on biogeochemical cycles are still largely unknown as they are not studied in a landscape context that defines the geomorphic, geochemically and pedological framework in which biological processes take place. Thus, the response of tropical soils to disturbance by erosion and land conversion is one of the great uncertainties in assessing the carrying capacity of tropical landscapes to grow food for future generations and in predicting greenhouse gas fluxes (GHG) from soils to the atmosphere and, hence, future earth system dynamics. Here, we describe version 1.0 of an open access database created as part of the project “Tropical soil organic carbon dynamics along erosional disturbance gradients in relation to variability in soil geochemistry and land use” (TropSOC). TropSOC v1.0 contains spatial and temporal explicit data on soil, vegetation, environmental properties and land management collected from 136 pristine tropical forest and cropland plots between 2017 and 2020 as part of several monitoring and sampling campaigns in the Eastern Congo Basin and the East African Rift Valley System. The results of several laboratory experiments focusing on soil microbial activity, C cycling and C stabilization in soils complement the dataset to deliver one of the first landscape scale datasets to study the linkages and feedbacks between geology, geomorphology and pedogenesis as controls on biogeochemical cycles in a variety of natural and managed systems in the African Tropics. The hierarchical and interdisciplinary structure of the TropSOC database allows for linking a wide range of parameters and observations on soil and vegetation dynamics along with other supporting information that may also be measured at one or more levels of the hierarchy. TropSOC’s data marks a significant contribution to improve our understanding of the fate of biogeochemical cycles in dynamic and diverse tropical African (agro-)ecosystems. TropSOC v1.0 can be accessed through the supplementary material provided as part of this manuscript or as a separate download via the websites of the Congo Biogeochemistry observatory and the GFZ data repository where version updates to the database will be provided as the project develops.
Action Implementation Model for Organisational Performance Measurement in Non-Acute Health Charities

Background Organisational performance measurement (OPM) is an evidence-based tool for planning business improvement and creating sustainable competitive advantage. Despite its value, non-acute health charities under-utilise OPM. The purpose of this paper is to provide the rationale and a detailed description of an OPM implementation model developed specifically for non-acute health charities. The aim of this new model is to encourage uptake of OPM in this sector. Methods The authors investigated the understanding and use of OPM in the non-acute health charity sector through a large mixed methods study. Multiple research activities, including PRISMA systematic reviews and two case study evaluations, identified factors and activities that are important for successful implementation of OPM in non-acute health charities. These were then integrated to form an implementation model. Results The resultant implementation model is a methodological tool designed to account for, and respond to, the specificities and strategic management needs of the non-acute health charity sector. It integrates five distinct yet interconnecting components – a theoretical framework; guiding principles; an implementation framework; measurement domains; and a monitoring and improvement tool. Conclusions The innovative OPM implementation model was designed as an evidence-informed approach to support the implementation of OPM in the non-acute health charity sector. It is titled the Non-Acute Health Charities Measurement Advantage Implementation Model (MAIM). Future studies should test the model in different organisational contexts and the impact of OPM on non-acute health charity performance.
Energy-Efficient Power Allocation and User Association in Heterogeneous Networks with Deep Reinforcement Learning

This paper studies the problem of joint power allocation and user association in wireless heterogeneous networks (HetNets) with a deep reinforcement learning (DRL)-based approach. This is a challenging problem since the action space is hybrid, consisting of continuous actions (power allocation) and discrete actions (device association). Instead of quantizing the continuous space (i.e., possible values of powers) into a set of discrete alternatives and applying traditional deep reinforcement approaches such as deep Q learning, we propose working on the hybrid space directly by using the novel parameterized deep Q-network (P-DQN) to update the learning policy and maximize the average cumulative reward. Furthermore, we incorporate the constraints of limited wireless backhaul capacity and the quality-of-service (QoS) of each user equipment (UE) into the learning process. Simulation results show that the proposed P-DQN outperforms the traditional approaches, such as the DQN and distance-based association, in terms of energy efficiency while satisfying the QoS and backhaul capacity constraints. The improvement in the energy efficiency of the proposed P-DQN on average may reach 77.6% and 140.6% over the traditional DQN and distance-based association approaches, respectively, in a HetNet with three SBS and five UEs.
Highly Efficient Organic Light‐Emitting Diode Using A Low Refractive Index Electron Transport Layer

A low refractive index electron transport layer (ETL) can be very effective in enhancing the out‐coupling efficiency of an organic light‐emitting diode (OLED). However, most organic films show a refractive index close to 1.8. In this work, it has been discovered that tris‐[3‐(3‐pyridyl)mesityl]borane (3TPYMB) has a low refractive index of 1.65 (at 550 nm), which is the lowest refractive index ETL among the commonly used ETLs up to date. Using 3TPYMB as an ETL, a solution processed OLED is demonstrated with nearly a 76% enhancement in external quantum efficiency (EQE). Optical simulation results of this study show that 59% of the enhancement comes from the low refractive index 3TPYMB, and the remaining 17% from the change in charge balance due to the 3TPYMB ETL in the OLED devices.