Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Work in Schools in New Zealand: Indigenous Social Work Practice

Social workers have found a new professional presence in New Zealand schools since 2001 following a pilot program in a small cluster of schools in 1999. Schools that are in low socio-economic communities have been selected to engage the services of in-school social workers. These schools have a high proportion of Maori and Pacific Island children and families in a country where Maori make up 15% of the population and Pacific Island families now make up 7% of the population. Maori social service providers are keen to employ Maori social workers so that there is congruence with their clients. These workers must then manage the multiple relationships they encounter in small rural communities in New Zealand. School social work enables helping professionals to work in health and counselling teams with families, contributing to positive Maori development and empowering families. While social workers have been a familiar sight in many North American and European schools for a century, in New Zealand they have become a significant presence only since 1999, when the New Zealand government approved funding for a pilot program focussing on twelve schools in which six social workers became providers of services to children and families. The success of the pilot program has encouraged successive governments to commit funding to further expansions over the following decade resulting in schools now becoming a major site for the employment of social workers and the delivery of services targeted to Māori and Pacific Island families. Social workers in schools (SWiS) are located in what are essentially poorer communities where indigenous Māori and Pacific peoples are over-represented. New Zealand schools are designated Deciles 1 to 10 based on the
Positive feedbacks between phosphorus deposition and forest canopy trapping, evidence from Southern Mexico

For some phosphorus (P)‐limited ecosystems, vegetation can be sustained by atmospheric P inputs. The ability of the canopy to trap airborne particles influences atmospheric P deposition. This dependence suggests a positive feedback, which could impact forest regeneration following deforestation. We examine how the amount of P deposited atmospherically varies as a function of forest canopy characteristics. We quantify the amount of P in bulk deposition (i.e., rainfall and dry deposition) and throughfall from a mature forest and 6 year old successional vegetation stand. To rule out the possibility that P enrichment in throughfall is due to canopy leaching, we construct an artificial forest made of P‐free plastic materials. We then compare throughfall samples collected beneath the artificial forest with those collected beneath the successional vegetation due to similarities in forest characteristics such as height and stem density. Over 1 year, 0.6 ± 0.1 kg P ha−1 yr−1 were deposited in the open area, 0.8 ± 0.0 kg P ha−1 yr−1 beneath the successional vegetation, 0.5 ± 0.0 kg P ha−1 yr−1 beneath the artificial forest, and 1.9 ± 0.0 kg P ha−1 yr−1 beneath the mature forest. Results also showed an enrichment of P concentration beneath the artificial forest relative to the open area. Atmospheric P sources sustain 37% of the annual P demand in the mature forest, but only 13% in the successional vegetation. Thus, following deforestation, more of the P demand would have to be met from other sources that if unavailable, could lead to conditions where the forest does not recover.
Trust me, I am famous: legitimating attractive celebrities as credible endorsers for charitable organisations

ABSTRACT Non-profit organisations are increasingly collaborating with celebrities to increase charitable donations. Consequently, choosing the right endorser to promote charitable giving is central to the communication strategy. The present research investigates how the attractiveness and credibility of celebrities, as well as cause-endorser matchup and meaning transfer, influence people’s donations. This research provides evidence of serial and parallel mediation effects by measuring and manipulating the four constructs in four separate studies. We demonstrate that credibility mediates the effect of attractiveness on generosity. Additionally, we highlight two legitimation pathways to explain how attractive endorsers become perceived as more credible cause promoters. This study provides a comprehensive model that illustrates, through an affective-cognitive-conative sequence, how attractiveness, congruence and meaning, and then credibility leads to charitable donations. Accordingly, we provide non-profit organisations with concrete and actionable recommendations for selecting celebrity endorsers.
APLICAÇÃO DE MACHINE LEARNING PARA A PREVISÃO DE TEMPERATURA DE MÓDULOS SOLARES FOTOVOLTAICOS

Resumo. O presente trabalho visa utilizar métodos de inteligência artificial e machine learning para estimar os valores de temperatura de módulos solares fotovoltaicos (FV) a partir de variáveis exógenas como irradiância, temperatura ambiente e velocidade do vento. Os dados utilizados neste trabalho são resultados de um projeto de P&D ANEEL entre o Grupo Fotovoltaica-UFSC e a empresa Statkraft, que consiste em um conjunto de sistemas fotovoltaicos instalados em Brotas de Macaúbas – BA. Foram utilizados os métodos k-Nearest Neighbors (kNN) e redes neurais artificais do tipo perceptron multicamadas (ANN-MLP) para calcular os valores de temperatura de módulos de m-Si e CdTe a partir das variáveis de entrada: (i) Irradiância global horizontal (GHI), (ii) Irradiância no plano dos módulos (GTI), (iii) temperatura ambiente e (iv) velocidade do vento. Dentre os métodos propostos, o kNN obteve melhor desempenho (RMSE de 2,18 °C), principalmente devido à menor dispersão de suas previsões, apesar do método ANN (RMSE de 2,69 °C) ter se mostrado mais preciso para valores intermediários de temperatura (entre 40 °C e
Risk analysis of Wastewater use in Crop Production: A case of Glen Valley Irrigation Scheme, Botswana

The Glen Valley Irrigation Scheme uses treated sewage effluent for crop production, however the potential public health risks associated with wastewater use is of major concern to workers and consumers. This research was conducted in Glen Valley in Gaborone, Botswana from February to May 2011. The study aimed at analyzing the health risks of wastewater use for crop production in the Glen Valley Irrigation Scheme. Samples of effluent, soil and vegetables (spinach, tomatoes, and green pepper) were collected from critical points and analyzed for selected quality parameters of health significance following recommendations by the American Public Health Association (effluent), Food and Agriculture Organisation (soil) and ATSDR (vegetables). Effluent samples were collected 7 times from the filter and 3 times from the drip pipe. There were 3 soil sampling campaigns from the spinach, green pepper and tomato plots. Vegetables were collected from each of the above mentioned plots on 3 sampling campaigns. The mean values of pH were 9. 09Â±0.15 for effluent and were within the FAO range of 6.5â€“8.5 for irrigation. The electrical conductivity ranged from 710 I¼S/cm to 760 I¼S/cm which was less than the guideline value of 2000 I¼S/cm. For effluent, cadmium and lead concentrations were lower than the 0.01 mg/l and 0.05 mg/l respectively which was within the long-term threshold limit for irrigation. Total coliforms in the effluent were within the WHO limit of 1000 CFU/100 ml ranging between 0 and 470 CFU/100ml. The pH values from all soil samples were above the FAO recommended limit of 6.5. No pathogens were detected in vegetables, but coliforms were detected. Heavy metals were detected in all the vegetables but cadmium in green pepper exceeded minimal risk levels by ATSDR. It can be concluded that at present the health risks for the consumption of the vegetables is low except for cadmium in green pepper which is above the recommended Minimum Risk Levels. Therefore it is recommended that regular monitoring of the effluent, soil and vegetables be done to protect the health of workers and consumers. ,WATERnet
EDML1: a chronology for the EPICA deep ice core from Dronning Maud Land, Antarctica, over the last 150 000 years

Abstract. A chronology called EDML1 has been developed for the EPICA ice core from Dronning Maud Land (EDML). EDML1 is closely interlinked with EDC3, the new chronology for the EPICA ice core from Dome-C (EDC) through a stratigraphic match between EDML and EDC that consists of 322 volcanic match points over the last 128 ka. The EDC3 chronology comprises a glaciological model at EDC, which is constrained and later selectively tuned using primary dating information from EDC as well as from EDML, the latter being transferred using the tight stratigraphic link between the two cores. Finally, EDML1 was built by exporting EDC3 to EDML. For ages younger than 41 ka BP the new synchronized time scale EDML1/EDC3 is based on dated volcanic events and on a match to the Greenlandic ice core chronology GICC05 via 10Be and methane. The internal consistency between EDML1 and EDC3 is estimated to be typically ~6 years and always less than 450 years over the last 128 ka (always less than 130 years over the last 60 ka), which reflects an unprecedented synchrony of time scales. EDML1 ends at 150 ka BP (2417 m depth) because the match between EDML and EDC becomes ambiguous further down. This hints at a complex ice flow history for the deepest 350 m of the EDML ice core.
INVESTIGATION AND IDENTIFICATION OF SOME ACTIVE BIOCHEMICAL IN MEDICAL PLANTS AGAINST CYP51 PROTEIN IN CANDIDA BY USING MOLECULAR DOCKING

ABSTRACT: Common and medical plants were investigated for active biochemical to bind and inhibit the CYP51 protein in candida sp. , 22 important plants were chosen and 263 molecular docking reactions were done between active materials and protein, 1441 different active ligands were detected for binding in protein active site, the best 225 ligands were chosen depending the power of affinity bond. Four ligands were candidates for having the best ligand affinity bond and more safety for use according to the toxicity test program; within these ligands, the Epicatechin was found to be the best biochemical for inhibition and bonding to CYP51 protein as it subjects to Lipinski's rule of five. Keywords: molecular docking; medical plants; Candida sp. Investigação e identificação de alguns bioquímicos ativos em plantas medicinais contra a proteína CYP51 em candida usando Molecular Docking RESUMO: Plantas comuns e medicinais foram investigadas para bioquímicos ativos para ligar e inibir a proteína CYP51 em Candida sp. , 22 plantas importantes foram escolhidas e 263 reações de docking molecular foram feitas entre materiais ativos e proteínas, 1441 ligantes ativos diferentes foram detectados para ligação em proteínas sítio ativo, o melhor ligante 225 foi escolhido dependendo do poder de ligação de afinidade. Quatro ligantes foram candidatos por ter melhor ligação por afinidade e maior segurança para uso de acordo com o programa de testes de toxicidade, dentro destes ligantes a Epicatequina mostrou ser o melhor bioquímico para inibição e ligação à proteína CYP51 por estar sujeita à regra dos cinco de Lipinski. Palavras-chave: docking molecular; plantas medicinais; Candida sp.
An Intelligent Autonomous Morphing Decision Approach for Hypersonic Boost-Glide Vehicles Based on DNNs

In addressing the morphing problem in vehicle flight, some scholars have primarily employed reinforcement learning methods to make morphing decisions based on task. However, they have not considered the constraints associated with the task process. The innovation of this article is that it proposes an intelligent morphing decision method based on deep neural networks (DNNs) for the autonomous morphing decision problem of hypersonic boost-glide morphing vehicles under process constraints. Firstly, we established a dynamic model of a hypersonic boost-glide morphing vehicle with a continuously variable sweep angle. Then, in order to address the decision optimality problem considering errors and the heat flux density constraint problem during the gliding process, interference was introduced to the datum trajectory in segments. Subsequently, re-optimization was performed to generate a trajectory sample library, which was used to train an intelligent decision-maker using a DNN. The simulation results demonstrated that, compared with the conventional programmatic morphing approach, the intelligent morphing decision maker could dynamically determine the sweep angle based on the current flight state, leading to improved range while still adhering to the heat flux density constraint. This validates the effectiveness and robustness of the proposed intelligent decision-maker.
Molecular Characterization and Phage Typing of Methicillin-resistant Staphylococcus aureus Isolated from Clinical Samples in Isfahan, Iran

Background: In hospitals and communities, Methicillin-resistant Staphylococcus aureus (MRSA) plays a critical role due to its ability to acquire resistance against several antibiotics and play a role in the spread of diseases. Objectives: This research aimed to investigate the pattern of antibiotic resistance in MRSA isolates and perform molecular typing of MRSA isolates using various elements, including SCCmec type, ccr type, prophage type, and gene toxin profiles. Methods: The research spanned 20 months at Al-Zahra Hospital in Isfahan and involved 148 isolates from various anatomical sites. The isolates were evaluated for their antibiotic susceptibility patterns. They were characterized by screening for SCCmec typing, ccr typing, phage typing, and PCR profiling of pvl, hlb, sak, eta, and tst toxin genes. Results: From 148 total S. aureus isolates, 42% (n = 62) were methicillin-resistant. The MRSA isolates demonstrated substantial resistance to penicillin and ciprofloxacin, and 90.3% of MRSA isolates were multiple-drug resistant. Also, SCCmec types III, I, and IV were identified in 45.16%, 35.48%, and 19.35% of MRSA isolates, respectively. Also, seven prophage patterns and 15 toxin patterns were detected among MRSA isolates. Conclusions: Multi-drug resistance is common among MRSA isolates. The only effective drug among the investigated antibiotics was chloramphenicol. The MRSA isolates can be controlled by changing the prescribing procedure of antibiotics and applying infection control strategies. The studied MRSA isolates can cause a wide range of diseases due to having several bacteriophages that encode virulence factors. Identification of different types of prophages may be useful in predicting such pathogenic agents.
Harnessing IGF-1 and IL-2 as biomarkers for calcineurin activity to tailor optimal FK506 dosage in α-synucleinopathies

Introduction: Rise in Calcium (Ca2+) and hyperactive Ca2+-dependent phosphatase calcineurin represent two key determinants of a-synuclein (a-syn) pathobiology implicated in Parkinson’s Disease (PD) and other neurodegenerative diseases. Calcineurin activity can be inhibited with FK506, a Food and Drug Administration (FDA)-approved compound. Our previous work demonstrated a protective effect of low doses of FK506 against a-syn pathology in various models of a-syn related pathobiology. Methods: Control and a-syn-expressing mice (12-18 months old) were injected with vehicle or two single doses of FK506 administered 4 days apart. Cerebral cortex and serum from these mice were collected and assayed using a meso scale discovery quickplex SQ 120 for cytokines and Enzyme-linked immunosorbent assay for IGF-1. Results: In this study we present evidence that reducing calcineurin activity with FK506 in a-syn transgenic mice increased insulin growth factor (IGF-1), while simultaneously decreasing IL-2 levels in both cerebral cortex and serum. Discussion: The highly conserved Ca2+/calcineurin signaling pathway is known to be affected in a-syn-dependent human disease. FK506, an already approved drug for other uses, exhibits high brain penetrance and a proven safety profile. IL-2 and IGF-1 are produced throughout life and can be measured using standard clinical methods. Our findings provide two potential biomarkers that could guide a clinical trial of FK506 in PD patients, without posing significant logistical or regulatory challenges.
USING TETROONS AS LAGRANGIAN TRACERS

During July 1964 more than 90 constant volume balloon (tetroon) flights were made from the area of Atlantic City, N.J., with the primary purpose of delineating the sea breeze regime at that locale. The transponder-equipped tetroons were ballasted to float at a height of 500 ft. , and were tracked by the U.S. Weather Bureau WSR-57 radar at Atlantic City. The tetroon trajectories are compared with surface winds and with (surface) geostrophic winds derived from pressure readings at four nearby weather stations. On the average, the tetroon direction differs from the surface wind direction by only a few degrees, but the tetroon speed exceeds the surface wind speed by a factor of nearly two. During pronounced sea breeze regimes the tetroon moves toward low pressure at an average angle of 20" during the morning hours and nearly 90" during the early afternoon hours. Both sequential tetroon releases and individual tetroon trajectories indicate a veering of the sea breeze flow during late afternoon and evening. The ratio of tetroon speed and geostrophic speed averages about 0.60 on non-sea breeze days and 0.35 on sea breeze days, with a tendency for the ratio to be at maximum in the late afternoon. Tetroons released.in the early morning into a gradient flow from the northwest exhibit a sharp turn to the north at the presumed position of the sea breeze front. On the basis of this turning it appears that the sea breeze front exists at sea prior to its arrival at the shore line, but the analysis is complicated by the fact that the tetroons are at some height above the surface. To the extent that tetroon trajectories represent air parcel trajectories, there is evidence that, frequently, sea breeze air is simply air from the land that has been modified by the sea surface. While the WSR-57 radar does not provide accurate tetroon-transponder height values, there is the suggestion of large vertical air motions near the sea breeze front and evidence that the sea air may, on occasion, override the land air so that the sea breeze frontal passage occurs first at some height above the ground. The atmospheric diffusion to be expected in both sea breeze and non-sea breeze regimes is investigated through the simultaneous and sequential release of tetroons. In the case of instantaneous-point-source (relative) diffusion, the data suggest that the lateral and longitudinal standard deviations increase in proportion to about the first power of the downwind distance out to distances of the order of 10 km. , but thereafter increase in proportion to about the 0.5 power. In the case of continuous-point-source diffusion, the data suggest that, at downwind distances from about 10 to 50 km. , the lateral standard deviation is proportional to nearly the 0.85 power of the distance, and proportional to about the 0.2 and 0.9 power of the tetroon release interval on sea breeze and non-sea breeze days, respectively.
Analysis of Growth Characteristics and Differentially Expressed Homologous Genes in <i>Rhodobacter sphaeroides</i> under Normal and Simulated Microgravity Conditions

The term “microgravity” is used to describe the “weightlessness” or “zero-g” circumstances that can only be found in space beyond earth’s atmosphere. Rhodobacter sphaeroides is a gram-negative purple phototroph, used as a model organism for this study due to its genomic complexity and metabolic versatility. Its genome has been completely sequenced, and profiles of the differential gene expression under aerobic, semi-aerobic, and photosynthetic conditions were examined. In this study, we hypothesized that R. sphaeroides will show altered growth characteristics, morphological properties, and gene expression patterns when grown under simulated microgravity. To test that, we measured the optical density and colony-forming units of cell cultures grown under both microgravity and normal gravity conditions. Differences in the cell morphology were observed using scanning electron microscopy (SEM) images by measuring the length and the surface area of the cells under both conditions. Furthermore, we also identified homologous genes of R. spheroides using the differential gene expression study of Acidovorax under microgravity in our laboratory. Growth kinetics results showed that R. sphaeroides cells grown under microgravity experience a shorter log phase and early stationary phase compared to the cells growing under normal gravity conditions. The
Computation-Efficient Grouping, Trajectory, and Resource Allocation for UAV Swarm-Assisted Aerial–Ground Collaborative Computing Networks

Unmanned aerial vehicle (UAV) swarms have found widespread applications in executing high-complexity and remote-risk missions. However, the limited onboard resources and energy of UAV swarms may hinder their support for computation-intensive yet delay-sensitive applications, especially when faced with exponentially growing big data. This article focuses on investigating a UAV swarm-assisted aerial–ground collaborative computing system, where one UAV swarm is divided into different groups and collaborates with a remote ground base station (BS) to provide computation services for ground smart mobile devices (SMDs). A comprehensive optimization framework is presented to maximize the system’s computation efficiency by jointly designing group formation, UAV trajectories, and resource allocation. The formulated problem involves a fractional structure with nonlinear coupling of different variables, rendering it highly nonconvex. To address this challenge, we propose a Dinkelbach-based looped iterative optimization (DLIO) algorithm. Specifically, Dinkelbach’s method is initially adopted to reformulate the original problem into a parametric structure, which is then decomposed into subproblems for group formation, resource allocation, and UAVs’ trajectory scheduling. Subsequently, these subproblems are addressed by a looped iterative optimization (LIO) algorithm. The outer loop determines group forming and resource allocation, while the inner loop utilizes the method of successive convex approximation (SCA) to solve trajectory scheduling for UAVs. Simulation results validate the effectiveness of our proposed DLIO algorithm, ensuring rapid convergence and significant improvements in the system’s computation efficiency compared to other benchmarks.
USING STANDARDIZED PRECIPITATION EVAPOTRANSPIRATION INDEX TO ASSESS LOW FLOWS IN SOUTHERN BUH RIVER

We study a spatiotemporal variability of droughts characteristics in Ukraine at the time scales 12, 24 months separately for the periods 1951–1980 and 1981-2010. It was revealed that the maximum number of durable and severe droughts was registered in the recent 30-year period. It is also found a strong relationship between the temporal variability of drought and the annual mean water discharge in the Southern Bug River during the period 1951–2010.