Miracle-dz/UniFAR-FTUs huggingface dataset:
Groundwater defluoridation efficacy of manganese-oxide-coated alumina prepared via two-step heating

ABSTRACT Fluoride concentrations in groundwater can be high in some Brazilian aquifers and therefore these waters should be treated before consumption. This study assessed the properties of Mn-oxide-coated alumina (AM) prepared by two-step heating in water defluoridation. The release of secondary contaminants (e.g. Al3+ and Mn2+) from alumina was also examined, as their removal by vermiculite. The process of Mn-oxide coating changed some properties of the activated alumina (AA), decomposing the crystalline phases and reducing some parameters, e.g. specific surface area (from 295.90 to 94.51 m2 g−1) and pHPZC (from 7.34 to 5.74). These changes increased the efficiency and kinetics of alumina in removing F− from synthetic solutions and groundwater (from 80%/16 h to 100%/1 h). This efficiency was not affected by the presence of other anions in groundwater, such as HCO3 − and SO4 2−. The optimum rate of F− removal occurred at pH 5; however, during the F− removal, Al3+ and Mn2+ ions were released, respectively, from the AA (0.61 mg L−1 Al3+) and from the AM ( 52 mg L−1 Mn2+). Vermiculite used to remove these cations adsorbed about 86% Al3+ and 90% Mn2+. However, only Al3+ concentrations fell below the standard limit for drinking water of <0.5 mg L−1. Therefore, AA has the advantage of not containing Mn, and after 3 h kept F− concentrations in solutions 5 mg L−1F− below the standard limit of 1.5 mg L−1. This study revealed that, depending on the groundwater characteristics, AA may be more efficient and sustainable for defluoridation than coated alumina. GRAPHICAL ABSTRACT
AFM analysis of the formation of DNA aggregates on polymeric biochips

The demand for polymer-based DNA microarrays will increase because of their cost-effectiveness, biocompatibility and easy processing. However not all polymers are ideal substrates because of different chemical interactions of polymeric substrates with the DNA molecules. Results from AFM analysis of DNA immobilised on polymeric surfaces are evaluated using fractality, Gaussian distribution and lateral force imaging. It has been found that the nanosize defects in the substrate, such as poly-l-lysine, plays an important role in the growth of DNA aggregates in a vertical direction, whereas the covalent binding of DNA molecules on NHS-functionalised cyclo-olefin copolymer leads to the lateral growth of DNA aggregates.
The adjunctive benefits of mirror cross education on kinetic chain exercise approach in volleyball athletes with scapular dyskinesis.

BACKGROUND Volleyball players as overhead athletes have the highest risk of developing Scapular Dyskinesis. The kinetic chain exercise-approach has gained a lot of attention because of its claims to provide an improved motor control and scapular kinematics. A form of cross exercise, known as mirror therapy, may enhance the effects of a Kinetic-Chain-Approach on scapular posture, upper and lower limb performance. The aim of this study was to investigate the adjunctive benefits of Mirror-Cross-Education in a Kinetic-Chain-Approach, in volleyball athletes with SD. METHODS 39 professional volleyball athletes were randomly assigned to three groups of 13 each, two experimental, the Mirror-Cross-Education and Kinetic-Chain-Approach, and one control. Both experimental groups performed a Kinetic-Chain-Approach programme, however, the Mirror-Cross-Education group performed the exercise programme with the addition of two mirrors that allowed athletes to observe their opposite non-dyskinetic scapula. Scapular posture asymmetries in cm, the Y-Balance and the Upper-Quarter YBalance after normalizing by limb length the reach distance in each direction, were assessed before and after performing each intervention for 6 weeks. RESULTS 3x2 two-way Mixed ANOVAs detected significant interactions on scapular posture (p=0.001) on both experimental groups when compared with the control. The Y-Balance and the Upper Quarter Y-Balance scores at both Mirror-Cross-Education and Kinetic-Chain-Approach groups showed significant differences when compared with the control (p<0.05). Overall, variables showed significant superiority of the Mirror-Cross-Education group. CONCLUSIONS The Mirror-Cross-Education demonstrated significant effects in scapular posture and in the functional balance tests of volleyball athletes with Scapular Dyskinesis.
The association between outdoor allergens – pollen, fungal spore season and high asthma admission days in children and adolescents

ABSTRACT Periods when asthma admissions peaks have serious implications for asthma sufferers and hospitals. We assessed the association between aeroallergen exposure and childhood asthma peak periods during two grass pollen seasons using the Melbourne Air Pollen Children and Adolescent Health (MAPCAH) study conducted in Melbourne, Australia. Two peak periods were identified. Effect modifications by atopy and sex were considered. All pollen 2 days prior was associated with increased odds of these peak periods. Same day fungal spores, but not pollen, were important. Grass at lag 2 was associated with increased odds 1.03 (95%CI 1.01, 1.05) as was the same day Alternaria 1.02 (1.00, 1.04) per spore/m3 for boys. In addition to pollen, fungal spores particularly Alternaria may result in days of high exacerbations during pollen seasons. Further guidance is needed to better prepare families/carers with information about the increased risk of asthma attacks in children prior to pollen seasons.
Health-system implementation of a collaborative core curriculum for advanced pharmacy experiential education during the COVID-19 pandemic

Abstract Purpose A collaborative advanced pharmacy practice experience (APPE) education model established within a healthcare institution during the coronavirus disease 2019 (COVID-19) pandemic is described. Summary The COVID-19 pandemic caused a nationwide disruption of APPE pharmacy education. Healthcare institutions faced the challenge of educating APPE students while attempting to simultaneously de-densify work areas and reduce transmission risk for employees and patients. A pharmacist coordinator and pharmacist academic partners at a large teaching hospital created a collaborative common core curriculum model for resourceful implementation of APPE education. Healthcare network pharmacists, clinical pharmacist academic partners, and pharmacy residents delivered the curriculum to 35 pharmacy students over a 9-week time period. Main components of the curriculum included patient case discussions, topic discussions, journal club presentations, live continuing education (CE) webinars, and development of pharmacy technician CE programs. A majority of students reported positive experiences working with a variety of preceptors from different specialties (81%) and collaborating with students from other universities (62%). Conclusion A health system can leverage institutional, network-wide, and academic partner resources to implement a collaborative APPE curriculum during challenging times such as those experienced during the COVID-19 pandemic.
Lachesis: Automated Partitioning for UDF-Centric Analytics

Partitioning is effective in avoiding expensive shuffling operations. However, it remains a significant challenge to automate this process for Big Data analytics workloads that extensively use user defined functions (UDFs), where sub-computations are hard to be reused for partitionings compared to relational applications. In addition, functional dependency that is widely utilized for partitioning selection is often unavailable in the unstructured data that is ubiquitous in UDF-centric analytics. We propose the Lachesis system, which represents UDF-centric workloads as workflows of analyzable and reusable sub-computations. Lachesis further adopts a deep reinforcement learning model to infer which sub-computations should be used to partition the underlying data. This analysis is then applied to automatically optimize the storage of the data across applications to improve the performance and users' productivity.
An Energy Sharing Mechanism Achieving the Same Flexibility as Centralized Dispatch

Deploying distributed renewable energy at the demand side is an important measure to implement a sustainable society. However, the massive small solar and wind generation units are beyond the control of a central operator. To encourage users to participate in energy management and reduce the dependence on dispatchable resources, a peer-to-peer energy sharing scheme is proposed which releases the flexibility at the demand side. Every user makes decision individually considering only local constraints; the microgrid operator announces the sharing prices subjective to the coupling constraints without knowing users’ local constraints. This can help protect privacy. We prove that the proposed mechanism can achieve the same disutility and flexibility as centralized dispatch, and develop an effective modified best-response based algorithm for reaching the market equilibrium. The concept of “absorbable region” is presented to measure the operating flexibility under the proposed energy sharing mechanism. A linear programming based polyhedral projection algorithm is developed to compute that region. Case studies validate the theoretical results and show that the proposed method is scalable.
Defending European integration by (symbolically) integrating European defence? Germany and its ambivalent role in European security and defence policy

ABSTRACT For many German policymakers, a commitment to European integration in defence is a necessary means to further the end of European integration in general – in stark contrast to French leaders who see European integration as the means to reach the end of a stronger European defence. Although there is general support for European defence cooperation and even integration among the German public and state elites, other ideational factors, most notably wide-spread anti-militarist attitudes, military planners’ traditional embeddedness in NATO planning procedures, and a deep commitment to parliamentary control of the armed forces, present manifest hurdles for real capacity-building on the supranational level. As a result, German efforts to integrate defence policy within the EU have been largely symbolic, while real progress takes place in other (bilateral or minilateral and often German-led) frameworks. Berlin has thus contributed considerably to the increasing institutional fragmentation and territorial differentiation in European defence.
The complexity of neural responses to visual stimuli: On Carruthers’ challenge to Block’s overflow argument

ABSTRACT Ned Block’s overflow argument purports to establish that the neural basis of phenomenal consciousness is independent of the neural basis of access consciousness. In a recent paper, Block’s argument has been challenged by Peter Carruthers. Carruthers concedes the truth of one of the argument’s key steps, namely, that phenomenal consciousness overflows what is in working memory. At the same time, he rejects the conclusion of the argument by developing an account of this overflow that is alternative to Block’s. In this paper, I argue that Carruthers’ account does not pose a real threat to the overflow argument. The overall plausibility of Carruthers’ account rests on the empirical plausibility of a claim concerning global broadcasting which, albeit intuitively plausible in light of a lightly-sketched picture of the impact of attention upon neural matters, he offers no sufficient empirical evidence for. Drawing on some important imaging studies that reveal striking facts about neural responses to visual stimuli, I argue for two intimately related claims: first, that the intuitive plausibility of claims like Carruthers’ is not a guarantee of empirical plausibility; second, that as concers the same claims, strong empirical evidence is needed before confident judgments of empirical plausibility can reasonably be formulated.
Adult graduates’ employability and mid-career trajectories after graduation with Finnish UAS Master’s degree

ABSTRACT Graduate employability research typically focuses on young graduates’ entry to the labour market. Little is known about the careers of adults who attain higher education degrees in mid-life. This article explores Finnish University of Applied Sciences (UAS) Master’s degree graduates’ mid-career trajectories using retrospectively collected longitudinal survey data (N = 1025) on their employment relations, transitions and career breaks. The specific research questions are as follows: (1) What are the types of mid-career trajectories of the adult graduates with Finnish UAS Master’s degree? (2) What is the prevalence of the different career trajectories among the sample of graduates? (3) In what ways different career trajectories are able to take advantage of graduation with a Master’s degree? As a result, we recognised five types of mid-career trajectories: rising career, renewing career, entrepreneurial career, continuous career and unstable career. Adult degrees can re-orient and enhance different career trajectories, e.g. by providing formal qualifications, new expertise and entrepreneurial skills, as well as by validating prior experience. Understanding the nature of career trajectories of adult graduates at a Master’s level is interesting not only in the Finnish but also in the international context and this study opens up a rich array of opportunities for further studies.
adPerf

Monetizing websites and web apps through online advertising is widespread in the web ecosystem, creating a billion-dollar market. This has led to the emergence of a vast network of tertiary ad providers and ad syndication to facilitate this growing market. Nowadays, the online advertising ecosystem forces publishers to integrate ads from these third-party domains. On the one hand, this raises several privacy and security concerns that are actively being studied in recent years. On the other hand, the ability of today's browsers to load dynamic web pages with complex animations and Javascript has also transformed online advertising. This can have a significant impact on webpage performance. The latter is a critical metric for optimization since it ultimately impacts user satisfaction. Unfortunately, there are limited literature studies on understanding the performance impacts of online advertising which we argue is as important as privacy and security. In this paper, we apply an in-depth and first-of-a-kind performance evaluation of web ads. Unlike prior efforts that rely primarily on adblockers, we perform a fine-grained analysis on the web browser's page loading process to demystify the performance cost of web ads. We aim to characterize the cost by every component of an ad, so the publisher, ad syndicate, and advertiser can improve the ad's performance with detailed guidance. For this purpose, we develop a tool, adPerf, for the Chrome browser that classifies page loading workloads into ad-related and main-content at the granularity of browser activities. Our evaluations show that online advertising entails more than 15% of browser page loading workload and approximately 88% of that is spent on JavaScript. On smartphones, this additional cost of ads is 7% lower since mobile pages include fewer and well-optimized ads. We also track the sources and delivery chain of web ads and analyze performance considering the origin of the ad contents. We observe that 2 of the well-known third-party ad domains contribute to 35% of the ads performance cost and surprisingly, top news websites implicitly include unknown third-party ads which in some cases build up to more than 37% of the ads performance cost.
Physical fitness changes among amateur soccer players: effects of the pre-season period

Abstract Study aim: To assess changes in physical fitness of amateur soccer players after a pre-season training period and baseline fitness dependencies. Material and methods: Twenty-one amateur soccer players were assessed during the pre-season. The following physical variables were assessed before and after a two-month pre-season training period: (i) cardiorespiratory fitness, (ii) strength and power, and (iii) change of direction (COD). Results: Significant decreases were found for countermovement jump (CMJ) (p < 0.001; d = 1.161), drop jump (DJ) (p = 0.014; d = 0.958), and horizontal jump (HJ) (p = 0.042; d = 0.640), while no significant changes were found for the overall variables from the beginning to the end of pre-season. Fit players revealed significant decreases for CMJ (p = 0.002; d = –2.495), DJ (p = 0.004; d = –1.760), HJ (p = 0.028; d = –1.005), COD deficit (p = 0.034; d = 1.013), and maximal aerobic speed (MAS) (p = 0.026; d = –4.053). No significant changes were found for unfit players. Conclusions: Amateur soccer coaches should consider assessing physical qualities at the beginning of pre-season and use the free-of-charge monitoring tools such as session-rate of perceived exertion (s-RPE) during the training process.
Drones for conservation: new techniques to monitor muriquis

The northern muriqui Brachyteles hypoxanthus and southern muriqui Brachyteles arachnoides are Critically Endangered primates endemic to the Atlantic Forest of south-east Brazil (Ferraz et al., , The IUCN Red List of Threatened Species, e.TA; Talebi et al., , The IUCN Red List of Threatened Species, e.TA). In , we developed a novel drone, which we named Dronequi, an S hexacopter fromDJI equipped with a GoProHero K camera and a thermal camera (Flir Vue Pro  mm). During –, we flew more than  hours in various areas, recording B. hypoxanthus on at least five separate occasions. At Parque Estadual Serra do Brigadeiro, Minas Gerais, we counted at least  individuals in just  minutes of flight, c. % of the population estimated during . , hours of fieldwork over a -year period. More recently we acquired a DJI Matrice , which we named Dronequi . , equipped with a DJI Zenmuse XT that combines a K visual camera and a Flir Tau  thermal sensor. With this we surveyed a total of five sites in January, February, August and November , identifying one previously unconfirmed B. arachnoides population, one new group, and two other groups already known at sites previously studied by other researchers, in São Paulo, and rediscovering a population of  individuals at Peçanha in Minas Gerais. Thus, in  at least five groups of muriquis were detected by drone, with up to  individuals counted, in some cases identified to age and sex classes. This was possible because the hybrid camera recorded thermal and colour images simultaneously. An intelligent algorithm, named Murilabs, developed by Storm Group, analyses thermal impressions captured by the drones to identify primate species. This software currently focuses on Brachyteles spp. but could be developed for other primate species. We have also recorded groups of black capuchin monkeys Sapajus nigritus with sufficient resolution to count individuals. For both capuchin monkeys and muriquis, we can sometimes see infants carried on females’ backs, even in large tracts of dense forest. Despite the high cost of thermal cameras for drones, they are efficient and improve surveying and monitoring success for large-bodied Neotropical primates and could potentially be used to detect smaller understorey species in more sparse or riparian vegetation.
Early efficacy and safety data with fixed‐dose combination calcipotriol/betamethasone dipropionate foam attributed to mechanism of absorption and steroid potency

Topical therapy is the mainstay of treatment for the majority of patients with psoriasis vulgaris (chronic plaque psoriasis), with combinations of vitamin D analogues and glucocorticoids having been shown to negate many of the negative effects associated with either monocomponent individually. Following the established efficacy of fixed‐dose combination calcipotriol (Cal; 50 µg/g) plus betamethasone dipropionate (BD; 0.5 mg/g) ointment and gel formulations, a novel Cal/BD foam formulation was developed. When applied, Cal/BD foam forms a supersaturated solution on the skin, increasing the penetration and bioavailability of Cal and BD. Early data indicate that this results in improved efficacy outcomes versus Cal/BD ointment, without negatively affecting safety outcomes (such as the incidence/severity of side effects or impacted calcium homeostasis or hypothalamic‐pituitary‐adrenal axis). This article discusses the potency and absorption of fixed‐dose combination Cal/BD foam, as well as the positive early efficacy and safety data associated with its utilisation in the treatment of psoriasis vulgaris.
Silicon Oxidation Studies: Silicon Orientation Effects on Thermal Oxidation

Abstract : The initial stage of the thermal oxidation of various crystallographic orientations of silicon reveals a complex rate behavior. This behavior is not understood within the conventional linear - parabolic model. A recently revised model which explicitly contains the areal density of Si atoms and mechanical stress effects is shown to provide both a qualitative and somewhat quantitative explanation of the complex substrate orientation effects. The purpose of this study is to analyze the crossover effect in terms of a recently proposed viscous flow model for Si oxidation. This model utilizes the notion of mechanical stress and viscous relaxation in Si02 which occur as a result of the oxidation process on a Si substrate in addition to the other assumptions in the L-P model such as a steady state between the interface reaction and the transport of oxidant through the oxide. It is reported herein that the new viscous flow model provides a reasonable qualitative explanation for the crossover effect and in some instances a quantitative correlation of the effect.
High-Resolution SAR Image Classification Using Multi-Scale Deep Feature Fusion and Covariance Pooling Manifold Network

The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great importance for SAR scene interpretation and application. However, the presence of intricate spatial structural patterns and complex statistical nature makes SAR image classification a challenging task, especially in the case of limited labeled SAR data. This paper proposes a novel HR SAR image classification method, using a multi-scale deep feature fusion network and covariance pooling manifold network (MFFN-CPMN). MFFN-CPMN combines the advantages of local spatial features and global statistical properties and considers the multi-feature information fusion of SAR images in representation learning. First, we propose a Gabor-filtering-based multi-scale feature fusion network (MFFN) to capture the spatial pattern and get the discriminative features of SAR images. The MFFN belongs to a deep convolutional neural network (CNN). To make full use of a large amount of unlabeled data, the weights of each layer of MFFN are optimized by unsupervised denoising dual-sparse encoder. Moreover, the feature fusion strategy in MFFN can effectively exploit the complementary information between different levels and different scales. Second, we utilize a covariance pooling manifold network to extract further the global second-order statistics of SAR images over the fusional feature maps. Finally, the obtained covariance descriptor is more distinct for various land covers. Experimental results on four HR SAR images demonstrate the effectiveness of the proposed method and achieve promising results over other related algorithms.