Miracle-dz/UniFAR-FTUs huggingface dataset:
Fostering Collective Approaches in Supporting Perinatal Mental Healthcare Access for Migrant Women: A Participatory Health Research Study

Perinatal mental health is a growing public health concern. The mounting evidence examining the prevalence of perinatal mental illness identifies specific vulnerabilities and risk factors among migrant women. We know that migrant women experience persistent and systematic barriers in accessing healthcare and that healthcare services do not always respond appropriately to migrant women’s needs, highlighting the need for targeted interventions in supporting positive perinatal mental health among migrant women. The purpose of this participatory health research study was to explore perinatal mental healthcare for migrant women in Ireland, from the perspectives of a diverse range of stakeholders (healthcare service providers, community organisations/networks/associations and migrant women). A key focus of this study was to collaboratively explore solution-focused approaches to improving access to supports and healthcare services for migrant women experiencing perinatal mental illness. Following ethical approval, data were collected during three key convenings, utilising the design principles of world café philosophies. Thematic analysis led to the generation of the following two themes: Building Capability and Capacity and Empowering Migrant Women. The main conclusions lie in the provision of whole-system approaches in collectively, collaboratively and proactively planning strategies that address the many factors that affect access to healthcare services for migrant women experiencing perinatal mental illness. Drawing on the collective perspectives of a wide range of stakeholders, our innovative solution focused on providing recommendations aimed at strengthening supports and healthcare services for migrant women.
Fast and robust phase retrieval for masked coherent diffractive imaging

Conventional phase retrieval algorithms for coherent diffractive imaging (CDI) require many iterations to deliver reasonable results, even using a known mask as a strong constraint in the imaging setup, an approach known as masked CDI. This paper proposes a fast and robust phase retrieval method for masked CDI based on the alternating direction method of multipliers (ADMM). We propose a plug-and-play ADMM to incorporate the prior knowledge of the mask, but note that commonly used denoisers are not suitable as regularizers for complex-valued latent images directly. Therefore, we develop a regularizer based on the structure tensor and Harris corner detector. Compared with conventional phase retrieval methods, our technique can achieve comparable reconstruction results with less time for the masked CDI. Moreover, validation experiments on real in situ CDI data for both intensity and phase objects show that our approach is more than 100 times faster than the baseline method to reconstruct one complex-valued image, making it possible to be used in challenging situations, such as imaging dynamic objects. Furthermore, phase retrieval results for single diffraction patterns show the robustness of the proposed ADMM.
Miscanthus × giganteus growth and control in simulated upland and wetland habitats

Abstract Globally, giant miscanthus (Miscanthus × giganteus J.M. Greef & Deuter ex Hodkinson & Renvoize [sacchariflorus × sinensis]) is used as a biofuel crop due to its ability to persist in a wide range of climates. However, little work has assessed this plant's ability to invade and persist in wetland habitats. In outdoor mesocosms, we examined M. × giganteus's ability to grow in simulated wetland versus upland habitats and examined chemical control strategies for both habitats using aquatic-labeled herbicides. Miscanthus × giganteus growth was consistently greater in simulated wetland habitats, with wetland plants 2.4 to 3 times taller than upland plants at 6 wk after treatment (WAT) and 2.8 to 3.3 times taller than upland plants at 12 WAT. Miscanthus × giganteus aboveground biomass was 12.7 to 17.7 times greater in wetland-versus upland-grown plants at 6 WAT and 9.6 to 12.5 times greater at 12 WAT. Belowground biomass was 4.5 to 10.7 times greater in wetland versus upland grown plants at 6 WAT and 4.0 to 6.1 times greater at 12 WAT. Miscanthus × giganteus belowground biomass was always greater than aboveground in both habitats at 6 (6.0 times greater in wetlands and 2.9 times greater in uplands) and 12 WAT (3.8 times greater in wetlands and 1.3 times greater in uplands). Generally, all herbicide treatments reduced M. × giganteus height (66% to 100% reduction) and biomass (84% to 100%) compared with nontreated plants at 12 WAT; however, glyphosate (5,716.3 g ai ha–1) and imazapyr (1,120.8 g ai ha–1) performed better than imazamox (560.4 g ai ha–1) and penoxsulam (98.6 g ai ha–1). This is the first work to provide evidence that M. × giganteus can be chemically controlled in wetland habitats. Furthermore, this is the first work to show that penoxsulam (an acetolactate synthase–inhibiting herbicide) can reduce M. × giganteus growth in upland or wetland habitats.
Intention of Personal Information Disclosure in Mobile Payment Apps

This paper employs the regulatory focus and risk-taking perspectives to integrate constructs related to the intention to disclose personal information in mobile payment apps among young people in such an emerging country like Vietnam. Data were collected from a survey among young Vietnamese people and analyzed with statistical software of SPSS and AMOS. Findings reveal that promotion regulatory focus leads to risk propensity which will be positively correlated to intention to disclose personal information in mobile payment apps among young people. In contrast prevention regulatory focus is correlated to risk perception which will be negatively related to intention to disclose personal information in mobile payment apps. Furthermore, the positive moderating role of perceived trust in the relationship between risk propensity and intention to disclose personal information in mobile payment apps is confirmed while perceived trust has been found to negatively moderate the impact of risk perception on intention to disclose personal information in mobile payment apps.
New App-Based Dietary and Lifestyle Intervention on Weight Loss and Cardiovascular Health

Consumer digital technology is rapidly evolving, allowing users to manage their health in a simple, non-invasive manner. However, there are few studies revealing if using digital technology as part of an intervention really has an impact in consumer health compared with traditional strategies. The objective of the current study is to compare two groups (MTB; n = 18, 46.1 ± 10.4 years and MTBAPP; n = 19, 45.3 ± 6.40 years) of overweight, prehypertensive individuals in losing weight and lowering their blood pressure. Both were provided with nutritionist-guided recommendations, a wearable tracking device and a dietary supplement that has previously been proven to help lose body weight and lower blood pressure. In addition, one of the groups (MTBAPP) used a mobile app specifically designed for the intervention. Blood pressure, body composition, triglyceride level, peak expiratory flow, forced expiratory volume in the first second and maximum oxygen volume were measured at different time points. In addition, participants were monitored with an activity bracelet throughout the intervention. As a result, both groups significantly lost body weight, while the group using the app additionally improved blood pressure levels and lowered fat mass. Furthermore, the app users significantly increased the number of daily steps and decreased sedentary time. In conclusion, the addition of a mobile app with daily reminders to follow healthy lifestyle recommendations increased physical activity and overall improved blood pressure and fat mass levels when compared with a group performing the same intervention but in absence of the mobile application.
THE USE OF AUDIENCE RESPONSE SYSTEM IN ENGLISH TEACHING: THE EXAMPLE OF MENTIMETER / İNGİLİZCE ÖĞRETİMİNDE DİNLEYİCİ YANIT SİSTEMI KULLANIMI: MENTIMETER ÖRNEĞİ

The use of the Audience Response System in English teaching increases students’ interests and participations. Mentimeter is one of the listener response systems that allows us to prepare course evaluation activities. Mentimeter allows students to convey their opinions via phones, tablets, laptops or personal computers. In this study, it is aimed to get the opinions of 10th grade students about the use of Mentimeter in English class. As a result of the research, it is found that the course taught with Mentimeter has positive effects on the students. It has been concluded that it increases students' participations in the lesson, makes them enjoy the lesson, motivates them and helps them to focus. "Mentimeter" creates a competitive environment, allowing students to have a pleasant time and to correct their mistakes by receiving feedback. Dinleyici Yanıt Sisteminin İngilizce öğretiminde kullanımı öğrenci ilgi ve katılımını arttırmaktadır. Mentimeter derse ilişkin değerlendirme etkinlikleri hazırlamamıza olanak sağlayan dinleyici yanıt sistemlerinden birisidir. Mentimeter öğrencilerin telefon, tablet, dizüstü bilgisayar veya kişisel bilgisayar aracılığıyla görüşlerini iletmesine olanak tanımaktadır. Bu çalışmada İngilizce dersinde Mentimeter kullanılmasına ilişkin 10. sınıf öğrencilerinin görüşlerinin alınması amaçlanmıştır. Araştırmanın sonucunda “Mentimeter’’ ile işlenen dersin öğrencilerin üzerinde olumlu etkileri olduğu görülmüştür. Öğrencilerin derse katılımını arttırdığı, derstten keyif almalarını sağladığı, motive ettiği, dikkatini toplamalarına yardımcı olduğu sonucuna ulaşılmıştır. Mentimeter rekabet ortamı oluşturarak öğrencilerin keyifli zaman geçirmelerine, geri dönüt alarak hatalarını düzeltmelerine olanak sağlamıştır. Article visualizations:
Analysis of trade efficiency in Serbia based on the MABAC method

In recent times, as it is well known, various methods of multi-criteria analysis are increasingly used in order to evaluate the efficiency of companies more accurately. One of them is the MABAC method. With this in mind, this paper analyzes trade efficiency in Serbia on the basis of this method. Trade in Serbia was the most efficient in the observed period (2013-2020) in 2020. The general conclusion is that recently, under the positive influence of numerous macro and micro factors, trade efficiency in Serbia has increased. The impact of Covid-19 on trade efficiency in Serbia is negligible. It has been largely compensated by increased electronic sales.
Energy-Aware Hierarchical Clustering Algorithm for Wireless Sensor Networks

Sensors are generally constrained in on-board energy supply in wireless Ad hoc sensor systems. In view of this trait, a virtual backbone is simulated by a spanning root tree of relay set with maximal weight and an energy-aware hierarchical clustering algorithm(EAHC) is proposed. By choosing the nodes with high residual energy and low communication cost as cluster-heads and utilizing periodical rotation of local cluster-heads and motion of base station, the energy load is evenly distributed among the sensors in the network and the lifetime of the network is prolonged. Simulation results demonstrate that the approach can significantly increase the lifetime of the sensor network.
Hurricane Harvey Impacts on Water Quality and Microbial Communities in Houston, TX Waterbodies

Hurricanes, and other extreme weather events, can temporarily alter the structure of coastal systems and generate floodwaters that are contaminated with fecal-associated microbes; however, every coastal system and extreme weather event is unique, so identification of trends and commonalities in these episodic events is challenging. To improve our understanding of the resilience of coastal systems to the disturbance of extreme weather events and the risk exposure to floodwaters poses to the public, we monitored water quality, fecal indicator bacteria (FIB) at three stations within Clear Lake, an estuary between Houston and Galveston, and three stations in bayous that feed into the estuary. Water samples were collected immediately before Hurricane Harvey (pre-HH, August 25th, 2017), immediately after (HH, August 30th) and then throughout the fall of 2017 (post-HH). FIB levels were monitored by culturing E. coli and Enterococci. Microbial community structure was profiled by high throughput sequencing of PCR-amplified 16S rRNA gene fragments. Water quality and FIB data was also compared to historical data for these water body segments. Before Harvey, salinity within Clear Lake ranged from 9 to 11 practical salinity units (PSU). Immediately after the storm, salinity dropped to < 1 PSU and then gradually increased to pre-storm and historical levels over two months. Dissolved inorganic nutrient levels were also relatively low immediately after Harvey and returned, within a couple of months, to pre-HH and historical levels. FIB levels were elevated immediately after the storm; however, after one week, E. coli levels had decreased to acceptable levels for freshwater. Enterococci levels collected several weeks after the storm were within the range of historical levels for these water bodies. Microbial community structure shifted from a system dominated by Cyanobacteria sp. before HH to a system dominated by Proteobacteria and Bacteroidetes immediately after. Further, several sequences observed only in floodwater showed similarity to sequences previously reported for samples collected following Hurricane Irene. These changes in beta diversity corresponded to salinity and nitrate/nitrite concentrations. Differential abundance analysis of metabolic pathways, predicted from 16S sequences, suggested that pathways associated with virulence and antibiotic resistance were elevated in floodwater. Overall, these results suggest that recovery of the Clear Lake system following Hurricane Harvey took at least a month and floodwater generated from these extreme events may have high levels of fecal contamination, antibiotic resistant bacteria and bacteria rarely observed in other systems.
Phylogenetic analysis of the tribe Dufouriini (Diptera: Tachinidae) using a total evidence approach based on adult and immature stages

Abstract Dufouriini are a worldwide distributed tachinid tribe comprised of 51 species in 13 genera, made up of parasitoids of adult Coleoptera. The systematic positioning of Dufouriini has been controversial. Currently, it is placed within Dexiinae, but was previously placed in Phasiinae and Voriinae, and has even had the status of subfamily. Delimitation and composition of Dufouriini has also been debated, whether it is a single tribe or divided into two (Dufouriini and Freraeini) or three (Dufouriini, Oestrophasiini and Freraeini) tribes. Herein, we present the first phylogenetic analysis of Dufouriini based on total evidence using morphological data from adult and immature stages. The taxonomic sampling included all genera in Dufouriini (including Oestrophasiini) and also the genus belonging to Freraeini, a historically related tribe. Data matrix comprised 35 species and 22 genera in the ingroup, and 185 characters constructed from eggs, first instar larvae, puparia and adults, including female and male terminalia and spermathecae. The phylogenetic analysis recovered Dexiinae as paraphyletic in relation to Phasiinae, since the clade (Freraeini (Dufouriini + Oestrophasiini)) is more closely related to Phasiinae than Dexiinae. Dufouriini, Oestrophasiini and Freraeini are recovered as separate monophyletic tribes, strongly supported by a number of synapomorphies. Oestrophasiini is revalidated. A new synonymy is proposed: Comyopsis Townsend syn. nov. of Ebenia Macquart. Accordingly, Ebenia fumata (Townsend, 1919) is nomen preoccupatum by Ebenia fumata (Wulp, 1891), thus we change its specific epithet by designation of the new replacement name Ebenia neofumata Santis and Nihei [nomen novum]. The genera Mesnilana and Rhinophoroides are removed from Dufouriini and tentatively placed into Palpostomatini. Finally, Cenosomastat. rev., previously a subgenus of Oestrophasia, is revalidated as genus.
The Role of the Lysosomal Cl−/H+ Antiporter ClC-7 in Osteopetrosis and Neurodegeneration

CLC proteins comprise Cl− channels and anion/H+ antiporters involved in several fundamental physiological processes. ClC-7 is a lysosomal Cl−/H+ antiporter that together with its beta subunit Ostm1 has a critical role in the ionic homeostasis of lysosomes and of the osteoclasts’ resorption lacuna, although the specific underlying mechanism has so far remained elusive. Mutations in ClC-7 cause osteopetrosis, but also a form of lysosomal storage disease and neurodegeneration. Interestingly, both loss-of- and gain-of-function mutations of ClC-7 can be pathogenic, but the mechanistic implications of this finding are still unclear. This review will focus on the recent advances in our understanding of the biophysical properties of ClC-7 and of its role in human diseases with a focus on osteopetrosis and neurodegeneration.
ROS Accumulation as a Hallmark of Dehydration Stress in Primed and Overprimed Medicago truncatula Seeds

Seed priming protocols implement incomplete imbibition phases, as well as physical, chemical or biological treatments, to activate pre-germinative metabolism and stress response, thus improving germination performances, seedling establishment and stress tolerance according to agricultural productivity requirements. The dehydration phase following priming treatments represents a critical variable, since an excessively prolonged imbibition (overpriming) impairs desiccation tolerance, compromising seed viability and seedling establishment. Priming protocols generally optimize imbibition-dehydration timing empirically to avoid overpriming. Hence, a better understanding of the dynamics underlying the loss of desiccation tolerance represents a promising route to test and develop efficient and cost-effective priming techniques. In the present work, priming and overpriming conditions were defined to explore the role of desiccation tolerance in seed priming efficiency in the model legume Medicago truncatula. The positive effects of hydropriming and kinetin-mediated hormopriming on germination parameters were screened in combination with conditions of short/prolonged priming and mild/severe overpriming. Biometric analyses highlighted contrasting responses in terms of germination performances and seedling development, while ROS (reactive oxygen species) levels measured during dehydration positively correlate with the loss of desiccation tolerance in early seedlings, suggesting possible applications to monitor priming progression and predict overpriming occurrence.
Impact of ball material change from celluloid to plastic on game statistics in elite women table-tennis

ABSTRACT This study compared the statistics of 24 matches played by elite women table-tennis players using the old celluloid versus new plastic balls to provide insight into the on-court adaptations made. Matches played by five, top-10 world ranked female players, using the celluloid (n = 12) versus plastic balls (n = 12) in international competitions from 2011 to 2017 were analysed. The results showed that the average strokes per point and point duration were approximately 15% and 13% shorter when playing with the plastic (4.79 ± 0.59; 3.91 ± 0.54s) compared with celluloid balls (5.52 ± 0.62; 4.49 ± 0.53s). Rally intensity was, however, higher for matches played with plastic (1.57 ± 0.27 strokes/s) versus celluloid (1.49 ± 0.25 strokes/s) balls. Overall work-rest ratio was smaller by 3% for the former versus the latter. The trade-off between more intense rallies and more rest time on energy expenditure remains unknown and would be an interesting area to investigate for targeted prescriptions of training programmes.
Modeling of Chloride Binding Capacity in Cementitious Matrices Including Supplementary Cementitious Materials

The improvement in the chloride binding capacity of concrete has been shown to increase corrosion resistance. The addition of supplementary cementitious materials (SCMs) to Portland cement has been proven to increase the binding capacity, except for silica fume, whereas the impact of chemical additives is not extensively addressed in the literature. This work studies the influence of SCMs and chemical additives, i.e., calcium nitrite inhibitor (CNI), migrating corrosion inhibitor (MCI), and Caltite as a hydrophobic material, on binding capacity. The addition of both corrosion inhibitors (MCI and CNI) has minimal effect on the binding capacity, while the addition of Caltite reduces the binding capacity by limiting the contact of the samples with the salt in water due to its hydrophobic nature. In addition, the study compares the performance of the available fitting–binding models against the available experimental work in the literature, and shows that the Freundlich isotherm is the best fitting model for describing the relationship between the binding capacity and the free chloride. The study further relates the binding capacity to different compositions in cement and SCMs, and shows, by conducting quantitative analysis, that the Al2O3 content is the dominant factor affecting the binding capacity. Finally, this work proposes a new model, which uses Al2O3 content and free salt concentration to predict the bound chloride. The model shows adequate correlations to the experimental work and, further, can be used in service-life modeling of concrete.
Selection of Methods of Surface Texture Characterisation for Reduction of the Frequency-Based Errors in the Measurement and Data Analysis Processes

Processes of surface texture characterisation can be roughly divided into measurement issues and analysis of the results obtained. Both actions can be fraught with various errors, some of which can be analysed with frequency performance. In this paper, various types of surface topographies were studied, e.g., cylinder liners after the plateau-honing process, plateau-honed liners with additionally burnished dimples of various sizes (width and depth), turned, milled, ground, laser-textured, ceramic, composite and some general isotropic topographies, respectively. They were measured with a stylus or via optical (white light interferometry) methods. They were analysed with frequency-based methods, proposed in often applied measuring equipment, e.g., power spectral density, autocorrelation function and spectral analysis. All of the methods were supported by regular (commonly used) algorithms, or filters with (robust) Gaussian, median, spline or Fast Fourier Transform performance, respectively. The main purpose of the paper was to use regular techniques for the improvement of detection and reduction processes regarding the influence of high-frequency noise on the results of surface texture measurements. It was found that for selected types of surface textures, profile (2D) analysis gave more confidential results than areal (3D) characterisation. It was therefore suggested to detect and remove frequency-defined errors with a multi-threaded performance application. In the end, some guidance on how to use regular methods in the analysis of selected types of surface topographies following the reduction of both measurement (high-frequency noise) and data analysis errors was required.