Miracle-dz/UniFAR-FTUs huggingface dataset:
‘Saying yes when you need to and no when you need to’ an interpretative phenomenological analysis on coaches’ well-being

ABSTRACT How coaches both experience and lead their own well-being has an important role to play in coaching; however, coaches’ individual well-being has gained less attention in training, discourse, or research to date. This paper intends to amend this deficit and provides an understanding and conceptual model of the dynamics in a coach’s individual well-being at work. Semi-structured interviews were carried out with 18 coaches and the findings illustrate that Coaches’ well-being is not a static state. There are job demands of coaching that can impact a coach’s well-being and there is a need for coaches to balance their resources with a high level of agility. There are also deeper underlying dynamics to a coach’s well-being that are interrelated with each other; energy currents, self-regulation, and levels of well-being. The way in which coaches optimise their resources and energy and active management of self will help or hinder a coach’s well-being at work, which may be more difficult for novice coaches.
Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.
Propuesta de implementación de la metodología BIM 5D para obras de cimentaciones industriales en la Planta de Oxígeno de Arauco

Debido al crecimiento de la industria de arquitectura, ingeniería y construcción (AEC), es primordial la actualización de las metodologías de trabajo sobre todo en la etapa de diseño y construcción, ya que aquí es en donde se concentra el costo del proyecto. El objetivo principal es la gestión de información para la prevención de errores y correcta ejecución del proyecto. El presente documento propone una estrategia para la implementación de la metodología BIM en 5D, incluyendo un modelo 3D, tiempo y costo, en una empresa de construcción industrial, específicamente en las obras civiles. Dicha estrategia fue diseñada en base al proyecto Planta de Oxígeno, de modo de establecer los pasos de la metodología. Para luego aplicar la metodología BIM en el proyecto, evidenciando los beneficios en costos de las actividades y estimando el costo de implementación BIM.
Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

There is a need to rapidly screen individuals for heat strain and fever using skin temperature (Tsk) as an index of deep body temperature (Tb). This study’s aim was to assess whether Tsk could serve as an accurate and valid index of Tb during a simulated heatwave. Seven participants maintained a continuous schedule over 9-days, in 3-day parts; pre-/post-HW (25.4 °C), simulated-HW (35.4 °C). Contact thermistors measured Tsk (Tforehead, Tfinger); radio pills measured gastrointestinal temperature (Tgi). Proximal-distal temperature gradients (ΔTforehead–finger) were also measured. Measurements were grouped into ambient conditions: 22, 25, and 35 °C. Tgi and Tforehead only displayed a significant relationship in 22 °C (r: 0.591; p < 0.001) and 25 °C (r: 0.408; p < 0.001) conditions. A linear regression of all conditions identified Tforehead and ΔTforehead–finger as significant predictors of Tgi (r2: 0.588; F: 125.771; p < 0.001), producing a root mean square error of 0.26 °C. Additional residual analysis identified Tforehead to be responsible for a plateau in Tgi prediction above 37 °C. Contact Tforehead was shown to be a statistically suitable indicator of Tgi in non-HW conditions; however, an error of ~1 °C makes this physiologically redundant. The measurement of multiple sites may improve Tb prediction, though it is still physiologically unsuitable, especially at higher ambient temperatures.
Effect of Sampling Clock Offsets on the Performance of OFDM System

This paper presents the effect of sampling clock offsets on the performance of OFDM system.The sample timing error and sampling frequency offset are analyzed respectively in detail by the digital model.In the simulation,constellation,Bit-Error-Rate(BER) and Signal-to-Noise Ratio(SNR) performance degradation are analyzed taking into account the effect of sampling frequency offset.It is shown that sampling frequency offset can lead to amplitude attenuation and Inter-Carrier Interference(ICI) due to the loss of orthogonality between the subcarriers.The SNR performance degrades with the increment of subcarriers indices and the number of OFDM symbols.
"Kan jeg kalle han en fjompenisse?" : Samtaler med barn om deres forståelse av terroren den 22. juli

Denne avhandlingen omhandler de minste skolebarnas historier om terrorhendelsene i Regjeringskvartalet og pa Utoya den 22. juli 2011. Inspirert av Jerome Bruner (1990) sin teori ”meaning-making process” undersoker jeg barns laering om, forstaelse av, interesse for og reaksjoner pa terrorhendelsene. Et laeringsperspektiv synes a vaere naermest fravaerende i forskningen pa barn og terror. Vi vet relativt lite om hvordan barn opplever og tolker samtaler om kriser og krisepregede nyheter, samt hvordan dette i sin tur pavirker dem. Med utgangspunkt i et laeringsperspektiv besvarer jeg, gjennom forskningsarbeidet, problemstillingen: Hvordan tilegner barna i utvalget seg kunnskap om terrorhendelsene, og hva saerpreger deres meningskonstruksjoner? Metode/data: Jeg gjennomforte kvalitative intervjuer av 54 barn syv maneder etter terrorhendelsene fant sted. Utvalget bestar av barn fra Ostlandet og Sorlandet i alderen 6-8 ar. Barna har primaert andrehandserfaringer med terrorhendelsene. Det vil si at de ikke er direkte berorte, men har fatt meg seg det som har skjedd via medier eller andres fortellinger om temaet. Pa grunn av terrorhandlingenes grusomme karakter, og den naergaende formidlingen av dem via medier, kan en se pa mote med fakta som en form for krise (Schultz & Raundalen, 2011). Datamaterialet er analysert tematisk, inspirert av Braun & Clarke (2006). Resultater: 51 av 54 barn kunne fortelle en historie om terrorhendelsene, og flertallet av dem uttrykte moderat til hoy grad av interesse for temaet. Barna oppgav media som den mest sentrale informasjonskilden, primaert tv-nyheter, men ogsa aviser, radio og internett. De fortalte om bade frivillig og ufrivillig eksponering for terrornyheter via medier. Videre ble foreldre eller andre omsorgspersoner identifisert som viktige informasjonskilder, dernest venner og sosken. Skolen ble identifisert som den svakeste informasjonskilden, og det sa ut til at kun 3 av totalt 8 laerere hadde tatt opp temaet i klasserommet. Barnas mote med terrorhendelsene skapte ulike folelser, deriblant overraskelse, sinne, bekymring, tristhet samt omtanke for gjerningsmannen. Frykt var den folelsen som oftest ble rapportert. 20 barn fortalte eksplisitt at historien skremte dem, hvorav 19 av dem var jenter. En kan undre seg over om det virkelig er kjonnsforskjeller i tilboyeligheten til a reagere med frykt, eller om frykt snarere var underrapportert blant guttene. Flere barn fortalte at de ogsa 7 maneder etter terrorhendelsene var redde for gjerningsmannen. Historiene barna fortalte var ikke utelukkende gjenfortellinger av medias fremstillinger, heller ikke andres beskrivelser om 22. juli. 19 barn konstruerte egne meningsfortolkninger, sakalte egenkonstruksjoner, i sin historie. Konklusjoner: Omtrent samtlige barn kunne fortelle en historie om 22. juli. De har i mote med det uventede, en person som handler i strid mot det en kunne forvente, konstruert narrativer om terrorhendelsene. Dette tyder pa at de har sokt en form for sammenheng og mening i erfaringene (Bruner, 1990). Kunnskapen om 22. juli…
Assessing HRTF preprocessing methods for Ambisonics rendering through perceptual models

Binaural rendering of Ambisonics signals is a common way to reproduce spatial audio content. Processing Ambisonics signals at low spatial orders is desirable in order to reduce complexity, although it may degrade the perceived quality, in part due to the mismatch that occurs when a low-order Ambisonics signal is paired with a spatially dense head-related transfer function (HRTF). In order to alleviate this issue, the HRTF may be preprocessed so its spatial order is reduced. Several preprocessing methods have been proposed, but they have not been thoroughly compared yet. In this study, nine HRTF preprocessing methods were used to render anechoic binaural signals from Ambisonics representations of orders 1 to 44, and these were compared through perceptual hearing models in terms of localisation performance, externalisation and speech reception. This assessment was supported by numerical analyses of HRTF interpolation errors, interaural differences, perceptually-relevant spectral differences, and loudness stability. Models predicted that the binaural renderings’ accuracy increased with spatial order, as expected. A notable effect of the preprocessing method was observed: whereas all methods performed similarly at the highest spatial orders, some were considerably better at lower orders. A newly proposed method, BiMagLS, displayed the best performance overall and is recommended for the rendering of bilateral Ambisonics signals. The results, which were in line with previous literature, indirectly validate the perceptual models’ ability to predict listeners’ responses in a consistent and explicable manner.
Morphological characterization and mt DNA barcode of a tiger moth species, Asota ficus (Fabricius, 1775) (Lepidoptera: Noctuoidea: Erebidae: Aganainae) from India

The members of the genus Asota are widely distributed from Africa, India, Sri Lanka, Myanmar, and Malayan regions to the Australian region containing 55 described species. Asota ficus (Fabricius, 1775) is one among the nine species of the genus described from India having a wide range of distribution. The present study includes the first mitochondrial DNA barcode generated from India for A. ficus with a valid voucher describing external morphological characters together with the male and female genitalia. Discussions pertain to the utility of DNA barcodes for studies on moths in India with a comment on the identity of other sequences showing shallow genetic divergence with our sequences.
The Role of KLF2 in the Regulation of Atherosclerosis Development and Potential Use of KLF2-Targeted Therapy

Kruppel like factor 2 (KLF2) is a mechanosensitive transcription factor participating in the regulation of vascular endothelial cells metabolism. Activating KLF2 in endothelial cells induces eNOS (endothelial nitric oxide synthase) expression, subsequent NO (nitric oxide) release, and vasodilatory effect. In addition, many KLF2-regulated genes participate in the anti-thrombotic, antioxidant, and anti-inflammatory activities, thereby preventing atherosclerosis development and progression. In this review, we summarise recent evidence suggesting that KLF2 plays a major role in regulating atheroprotective effects in endothelial cells. We also discuss several recently identified repurposed drugs and natural plant-based bioactive compounds with KLF2-mediated atheroprotective activities. Herein, we present a comprehensive overview of the role of KLF2 in atherosclerosis and as a pharmacological target for different drugs and natural compounds and highlight the potential application of these phytochemicals for the treatment of atherosclerosis.
Can unconditional cash assistance improve household welfare? QUAIDS model for food commodities in Indonesia

ABSTRACT Expenditure patterns can be taken into consideration in determining the type of government assistance. Without adequate information on household expenditure patterns, cash transfers may not be effective in improving welfare. This study aims to examine the expenditure patterns of households receiving cash assistance in Indonesia. The expenditure pattern is estimated using the Quadratic Almost Ideal Demand System (QUAIDS). Four groups of expenditure types for food were examined: rice, staple food, beverages, tobacco and alcoholic beverages. The result showed that the largest predicted expenditure is for the purchase of staple food. Income elasticity for staple food is relatively highest than all other types of food. On the other hand, the price elasticity of tobacco and alcoholic beverages is relatively inelastic (lowest) compared to other food products. These results indicate that the provision of cash transfers for poor households has the potential to increase household welfare through increasing staple food consumption.
Optimization and characterization of pectin extracted from banana and papaya mixed peels using response surface methodology

Abstract A massive amount of fruit peels generated from fruit processing industries and household kitchens has resulted in nutritional loss and environmental problems. Pectin is a polysaccharide that is isolated from fruit peels and has been attributed to various applications. By proper waste management practices and the use of efficient methods for retrieval of pectin from fruit, peels would benefit from resource management. This study has aimed at the extraction of pectin from locally available fruit peels. Pectin extraction from banana–papaya peel was done by microwave‐assisted extraction. The influence of temperature, time, and pH on extraction yield and anhydrouronic acid content was analyzed using software Design Expert 11. The optimum operating conditions such as temperature, time, and pH to achieve maximum yield (23.74%) and anhydrouronic acid (69.97%) were determined as 73°C, pH 2, and 35 min, respectively. Physicochemical assets of the extracted pectin, such as moisture, ash, protein, methoxyl content, degree of esterification, equivalent weight, and acetyl value, were determined as 7.2 ± 0.27%, 6.20 ± 1.26%, 3.92 ± 0.05% 8.37 ± 0.42%, 67.91 ± 0.33%, 783.69 ± 0.46 g/mol, and 0.48 ± 0.11%, respectively, and some functional properties like water absorption capacity, oil absorption capacity, swelling capacity, and emulsifying activity and emulsion stability are found as 8.23%, 18.44%, 22.73%, 45.16%, and 29.33%, respectively.
PROJECT SUPPORT

Genomförbarheten av Project Support (PS), ett individuellt föräldrastöd för våldsutsatta mammor utvecklat i USA, utvärderas inom ramen för svensk socialtjänst i denna studie. Sammanlagt trettio behandlare har utbildats i metoden, som anpassats till svenska förhållanden i samarbete med upphovsmännen. Tjugonio familjer hade inkluderats i behandling vid sttudiens avslut. Såväl behandlare som mammor uppskattade metoden och bedömde att den var en lämplig insats som förbättrade föräldrarnas samspel med sina barn. Mammornas självskattade föräldraförmåga förbättrades signifikant, och barnens symtomnivåer sänktes. Vissa svårigheter för implementering identifierades, dels metodspecifika, dels relaterade till omständigheter i socialtjänsten.
Prognostic and Therapeutic Value of Apolipoprotein A and a New Risk Scoring System Based on Apolipoprotein A and Adenosine Deaminase in Chronic Lymphocytic Leukemia

Lipid metabolism is related to lymphomagenesis, and is a novel therapeutic target in some hematologic tumors. Apolipoprotein A (ApoA), the major protein of high-density lipoprotein (HDL), plays a crucial role in lipid transportation and protecting against cardiovascular disease, and takes effect on anti-inflammation and anti-oxidation. It is correlated with the prognosis of some solid tumors. Yet, there is no investigation involving the role of ApoA plays in chronic lymphocytic leukemia (CLL). Our retrospective study focuses on the prognostic value of ApoA in CLL and its therapeutic potential for CLL patients. Herein, ApoA is a favorable independent prognostic factor for both overall survival (OS) and progression-free survival (PFS) of CLL patients. ApoA is negatively associated with β2-microglobulin (β2-MG) and advanced stage, which are poor prognostic factors in CLL. Age, Rai stage, ApoA, and adenosine deaminase (ADA) are included in a new risk scoring system named ARAA-score. It is capable of assessing OS and PFS of CLL patients. Furthermore, cell proliferation assays show that the ApoA-I mimetic L-4F can inhibit the proliferation of CLL cell lines and primary cells. In conclusion, ApoA is of prognostic value in CLL, and is a potential therapy for CLL patients. The ARAA-score may optimize the risk stratification of CLL patients.
The Smart Touch

The visual and technical excellence evident in Jeffrey Smart's paintings, displayed in an exhibition of his works at Australian Galleries, Sydney, is analysed. The compositional geometry employed in his paintings such as 'King of the Castle', 'The Red Box? ' and 'Arezzo Station II', which combine depicted objects, shapes and colours in an interdependent manner to form a whole work, is discussed.
Anti-gout potential of selected edible flowers

Gout is a form of inflammatory arthritis triggered by the interaction between monosodium urate crystals and tissues during the purine metabolism by xanthine oxidase. This study aimed to determine the xanthine oxidase inhibitory activity, total phenolic content, total flavonoid content and total anthocyanin content of 10 selected edible flowers, namely Rosa sp. , Malus sp. , Lavandula sp. , Lilium sp. , Hibiscus sabdariffa L. , Chrysanthemum sp. , Matricaria sp. , Gomphrena sp. , Myosotis sp. and Jasminum sp. extracted using hot water infusion method. Phytochemical contents and the anti-gout activity of the flower extracts using the xanthine oxidase inhibition assay were determined spectrophotometrically. The results revealed that three aqueous flower extracts (Rosa sp., Hibiscus sabdariffa L. and Malus sp.) exhibited potent xanthine oxidase inhibitory activity (IC50 values, 0.10±0.15 µg/mL, 0.12±0.11 µg/mL and 2.59±3.8 µg/mL, respectively), which were comparable to the positive control, allopurinol (IC50 value, 4.9±0.00 µg/mL). The highest phenolic and flavonoid contents were found in Lavandula sp. (4.39±0.13 mg GAE/g and 63.46±1.07 mg RE/g) while Rosa sp. showed the highest content of anthocyanin (70.14±4.82 mg c-3-gE/g). Positive correlations were observed between the phytochemicals and xanthine oxidase inhibitory activity of the flower extracts. Hence, this study suggests that Rosa sp. , Hibiscus sabdariffa L. and Malus sp. possess anti-gout potential, which is associated with the presence of possible anti-gout phytochemicals. The isolation of the bioactive compounds that exhibit significant anti-gout activity among the selected flowers is recommended for future research.
Synthesis of Hexagonal Structured GaS Nanosheets for Robust Femtosecond Pulse Generation

Gallium sulfide (GaS), with a hexagonal structure, has received extensive attention due to its graphene-like structure and derived optical properties. Here, high-quality GaS was obtained via chemical vapor synthesis and then prepared as a saturable absorber by the stamp-assisted localization-transfer technique onto fiber end face. The stability of the material and the laser damage threshold are maintained due to the optimized thickness and the cavity integration form. The potential of the GaS for nonlinear optics is explored by constructing a GaS-based Erbium-doped mode-locked fiber laser. Stable femtosecond (~448 fs) mode-locking operation of the single pulse train is achieved, and the robust mode-locked operation (>30 days) was recorded. Experimental results show the potential of GaS for multi-functional ultrafast high-power lasers and promote continuous research on graphene-like materials in nonlinear optics and photonics.
Face recognition method based on independent component analysis and BP neural network

In this paper a new face recognition method combining independent component analysis (ICA) and BP neural network, named ICABP method, is proposed. Researchers have shown that ICA using higher order statistics is more powerful for face recognition than PCA using up to second order statistics only. However, when the database includes faces with various expressions and different orientations, the superiority of ICA method cannot be shown obviously. In this paper, the FastICA algorithm is used to extract the independent sources from the face images. Then the conventional minimum Euclidean distance method is replaced by an improved BP neural network with one hidden layer to recognize the faces. The function of local features extraction of ICA and the adaptability of BP neural network are combined perfectly. The experimental results show that our ICABP method is an effective and feasible face recognition method.
Reply on RC3

We also illustrated the main limitations of each flood map in lines 558-563: “Nonetheless, each of the presented maps has its own limitations. Susceptibility maps provide only qualitative results and rely on recorded flood events. Therefore, limited recorded data may lead to incorrect predictions. Moreover, it is important to design an appropriate model to integrate heterogeneous environmental information. Inundation maps mostly consider real events, thus they suffer from the acquisition method’s problems. For example, satellites struggle to extract information below clouded areas (e.g., Meraneret al., 2020). Hazard maps, instead, are limited by the accuracy of the underlying numerical simulator. ”
Microphysiological Neurovascular Barriers to Model the Inner Retinal Microvasculature

Blood-neural barriers regulate nutrient supply to neuronal tissues and prevent neurotoxicity. In particular, the inner blood-retinal barrier (iBRB) and blood–brain barrier (BBB) share common origins in development, and similar morphology and function in adult tissue, while barrier breakdown and leakage of neurotoxic molecules can be accompanied by neurodegeneration. Therefore, pre-clinical research requires human in vitro models that elucidate pathophysiological mechanisms and support drug discovery, to add to animal in vivo modeling that poorly predict patient responses. Advanced cellular models such as microphysiological systems (MPS) recapitulate tissue organization and function in many organ-specific contexts, providing physiological relevance, potential for customization to different population groups, and scalability for drug screening purposes. While human-based MPS have been developed for tissues such as lung, gut, brain and tumors, few comprehensive models exist for ocular tissues and iBRB modeling. Recent BBB in vitro models using human cells of the neurovascular unit (NVU) showed physiological morphology and permeability values, and reproduced brain neurological disorder phenotypes that could be applicable to modeling the iBRB. Here, we describe similarities between iBRB and BBB properties, compare existing neurovascular barrier models, propose leverage of MPS-based strategies to develop new iBRB models, and explore potentials to personalize cellular inputs and improve pre-clinical testing.