Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the methodology of LSA with preschool children: a scoping review

Purpose: Language Sample Analysis (LSA) is a prominent method in researching language development and is also used in clinical practice in the speech-language pathology (SLP) discipline. This scoping review aims to describe current contributions of research on LSA methodology, identify research gaps and explore areas of future advancement of LSA methodology related to its five components: determining the sample length/size, collecting, transcribing, coding and analyzing the sample.Methods: A scoping review was conducted of studies on LSA methodology published between 2010–2020 that focused on preschool children. Relevant electronic databases and research platforms were searched using the PRISMA method for data identification, screening, selection and extraction.Results: Of the 213 identified studies, 61 met the inclusion criteria, covering all aspects of the LSA process. Overall, a wide variability in study designs and research foci were found, reflecting the broad applicability of LSA. The two LSA aspects addressed most frequently are the first and last of the five LSA components: determining the length (or size) of the language sample and analyzing the sample. The methodological variability hinders the comparison of evidence and drawing implications which negatively impacts on research and clinical SLP practice.Conclusions: Besides expanding research on LSA for multilingual children and establishing LSA guidelines for specific contexts, age groups and language backgrounds, it appears as if technological development, particularly in the (semi)automatic transcription, codin
Antibacterial Activity of Medicinal Plants Against Pathogens causing Complicated Urinary Tract Infections

Seventeen Indian folklore medicinal plants were investigated to evaluate antibacterial activity of aqueous, ethanol and acetone extracts against 66 multidrug resistant isolates of major urinary tract pathogens (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa and Enterococcus faecalis) by disc diffusion method. Ethanol extract of Zingiber officinale and Punica granatum showed strong antibacterial activity against Escherichia coli. Ethanol extracts of Terminalia chebula and Ocimum sanctum exhibited antibacterial activity against Klebsiella pneumoniae. Ethanol extract of Cinnamomum cassia showed maximum antibacterial activity against Pseudomonas aeruginosa while ethanol extract of Azadirachta indica and Ocimum sanctum exhibited antibacterial activity against Enterococcus faecalis. The results support the folkloric use of these plants in the treatment of urinary tract infections by the tribals of Mahakoshal region of central India.
The impact of statin use before intensive care unit admission on patients with acute kidney injury after cardiac surgery

Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) is a common and serious complication after cardiac surgery. The influence of statin use before surgery on the renal outcome of patients undergoing cardiac surgery is controversial. The purpose of this study was to evaluate the effect of statins on postoperative renal outcomes in patients undergoing cardiac surgery. Methods: We included CSA-AKI patients in the Medical Information Mart for Intensive Care (MIMIC)—IV database and were divided into statin group and non-statin group according to whether they used statins before entering intensive care units (ICU). The main outcomes were hospitalization and 30-day mortality, and the secondary outcomes were 60-day mortality and 90-day mortality. We used propensity score matching (PSM) to adjust for confounding factors. The 95% confidence interval (CI) and risk ratio (RO) were calculated by the COX proportional regression model. At the same time, stratified analysis was used to explore whether the relationship between the statins use before intensive care units and mortality was different in each subgroup and whether the relationship between different doses of Atorvastatin and mortality was different. Result: We identified 675 pre-ICU statin users and 2095 non-statin users. In the COX proportional regression model, pre-ICU statin use was associated with decreased in-hospital (HR = 0.407, 95%confidence interval 0.278–0.595, p < 0.001) and 30-day mortality (HR = 0.407, 95%CI 0.279–0.595, p < 0.001). The survival rate of patients who took statins before entering ICU was significantly higher than that of those who did not use statins at 30 days, 60 days and 90 days. There is a significant interaction between patients with aged>65 years (HR = 0.373, 95%CI 0.240–0.581, p < 0.001), Acute kidney injury grade I (HR = 0.244, 95%CI 0.118–0.428, p < 0.001), and without post-myocardial infarction syndrome (HR = 0.344, 95%CI 0.218–0.542, p < 0.001). The mortality in hospital and 60 days of CSA-AKI patients treated with ≥80 mg Atorvastatin before operation was significantly reduced (p < 0.05). Conclusion: The pre-ICU statin use was significantly associated with decreased risk in hospital and 30-day mortality. The preoperative use of ≥80 mg Atorvastatin may improve the prognosis of CSA-AKI.
Sustainable Technology Adoption: Who and What Matters in a Farmer’s Decision?

EU milk quota removal brings a renewed focus on continued adoption of sustainable technologies. This article explores spatial effects in their adoption using Bayesian spatial probit models employing a representative sample of Irish dairy farms. We consider global and local spatial effects, and overcome a missing neighbour problem by implementing census data in our spatial weight matrix. The findings reveal that spatial effects spill over to neighbours and better educated farmers with larger more intensively managed farms are more likely to adopt. The article concludes with policy recommendations that arise from our spatial analysis.
Assessing the Presence of Recent Adaptation in the Human Genome With Mixture Density Regression

Abstract How much genome differences between species reflect neutral or adaptive evolution is a central question in evolutionary genomics. In humans and other mammals, the presence of adaptive versus neutral genomic evolution has proven particularly difficult to quantify. The difficulty notably stems from the highly heterogeneous organization of mammalian genomes at multiple levels (functional sequence density, recombination, etc.) which complicates the interpretation and distinction of adaptive versus neutral evolution signals. In this study, we introduce mixture density regressions (MDRs) for the study of the determinants of recent adaptation in the human genome. MDRs provide a flexible regression model based on multiple Gaussian distributions. We use MDRs to model the association between recent selection signals and multiple genomic factors likely to affect the occurrence/detection of positive selection, if the latter was present in the first place to generate these associations. We find that an MDR model with two Gaussian distributions provides an excellent fit to the genome-wide distribution of a common sweep summary statistic (integrated haplotype score), with one of the two distributions likely enriched in positive selection. We further find several factors associated with signals of recent adaptation, including the recombination rate, the density of regulatory elements in immune cells, GC content, gene expression in immune cells, the density of mammal-wide conserved elements, and the distance to the nearest virus-interacting gene. These results support the presence of strong positive selection in recent human evolution and highlight MDRs as a powerful tool to make sense of signals of recent genomic adaptation.
Evaluation of Osteoporosis Perception Among Saudi Arabian Premenopausal Women: A Cross-Sectional Survey Study Using the Osteoporosis Knowledge Assessment Tool (OKAT)

Introduction: Osteoporosis is a major clinical problem that affects the whole population, especially women. It is a condition that is becoming more prevalent with aging. The increase in bone fragility associated with the disease can lead to fractures, even from minor trauma. Our goal is to evaluate the extent of knowledge about osteoporosis and perceptions of it among premenopausal women in Saudi Arabia. Method: This descriptive cross-sectional study was conducted among premenopausal women during the months of June and July 2021. We distributed an online questionnaire on social networking sites and applications that Saudi women use on a daily basis. We used the Osteoporosis Knowledge Assessment Tool (OKAT) to evaluate the responses. Result: A total of 661 women took part in our study; 159 of them were excluded because they had either reached the menopausal period or had already been diagnosed with the disease. The overall perception of osteoporosis is noticeably poor, as only 55% of respondents had an acceptable level of knowledge. In addition, we found a statistically significant association between education level and knowledge level (p-value = 0.044). Conclusion: The findings revealed that more than half the participants scored "acceptable" in terms of their understanding of the disease, which indicates a serious awareness gap. This outcome demonstrates the necessity of increasing community awareness about osteoporosis to reduce potential harm and the financial burden of healthcare.
LGBTQIA+ topics in physical education: an introduction

ABSTRACT The purpose of this paper is to introduce the First Special Issue of our Double Special Edition on LGBTQIA+ Topics in Health, Wellbeing and Education. This special issue focuses on LGBTQIA+ Topics in Physical Education. We introduce the Special Issue by describing the sociopolitical backdrop around the world more broadly and specifically in relation to LGBTQIA+ rights. Afterwards, we reflect on the process of choosing Sport, Education and Society as the journal to publish the Special Edition. Moving forward, we briefly summarise the different streams of LGBTQIA+ research in physical education and how this special issue extends our knowledge in these areas. Lastly, we contend that this Special Issue adds a new stream of research on LGBTQIA+ Topics in Physical Education. We conclude the introduction by considering how future research may continue to capitalise on the momentum that LGBTQIA+ research has built in the field.
A cross-disorder dosage sensitivity map of the human genome

Supplemental Figures S1. rCNV harmonization . 3 S2. Standardized phenotypes . 4 S3. Summary of rCNV association models . 5 S4. Quality control of sliding window association test statistics . 6 S5. Combined analyses of large rCNV segments . 7 S6. Selected loci from large rCNV segment discovery analyses . 8 S7. Disease-associated rCNV segments curated from existing literature . 10 S8. Permutation tests of de novo coding mutations in large rCNV segments . 11 S9. Distributions of de novo coding mutations within large rCNV segments . 12 S10. Comparisons of NAHR-mediated and non-NAHR-mediated rCNV segments . 14 S11. Technical details of gene-based association testing and fine-mapping . 16 S12. Gene-level features used in fine-mapping and dosage sensitivity scoring . 17 S13. Selected genes from rCNV association discovery analyses . 18 S14. Technical details of noncoding annotation prioritization and curation . 20 S15. Genic dosage sensitivity model development . 21 S16. Comparison of genic dosage sensitivity scores to existing metrics . 22 S17. Quality assessment of genic dosage sensitivity scores . 24
Algorithms for the classification and characterization of aerosols: utility verification of near-UV satellite observations

Abstract. Aerosol types were characterized and classified using multispectral satellite data. The role of near-UV data in the detection of absorbing aerosols, such as biomass burning aerosols (BBA) or mineral dust particles (DUST), was examined on a global scale. An absorbing aerosol index (AAI) was proposed and defined as the ratio of the satellite-observed radiance (R) at a wavelength of 0.412 μm [R (0.412)] to that at 0.380 μm [R (0.380)] that can also detect nonabsorbing-type aerosols. Initially, the numerical AAI values were estimated for the BBAs and DUST from measurements collected by the Advanced Earth Observing Satellite-2/Global Imager (ADEOS-2/GLI). The Japanese short mission ADEOS-2 carried the GLI instrument with observation channels in the near-UV region. Not only the AAI index but also the short-wavelength infrared measurements were utilized to determine the dust detection index (DDI) defined as the ratio of R (2.210) to R (0.380) in order to discriminate BBAs from DUST. In addition, the AAI and DDI values were evaluated for the detection of clouds. The results allowed the classification criteria for DUST, BBA, other types of aerosols and clouds to be obtained. The Second-Generation Global Imager (SGLI) sensor is onboard the Japanese Global Change Observation Mission-Climate (GCOM-C) (SHIKISAI in Japanese) satellite launched on December 23, 2017. The SGLI has multiple channels (19) including near-UV and polarization sensors in the red and near-IR wavelengths. We also demonstrated the advantages of the SGLI for near-UV and polarization data for aerosol remote sensing. An understanding of aerosol types facilitated subsequent aerosol retrieval. Then, retrieval for classified aerosols was made based on the radiation simulations with multispectral radiance by GLI and polarization measurements by Polarization and Directionality of the Earth’s Reflectances (POLDER)-2, respectively, mounted on the ADEOS-2 satellite. The proposed algorithms are expected to be available not only for the analysis of the SGLI data but also for other future missions.
Recent selection of candidate genes for mammal domestication in Europeans and language change in Europe: a hypothesis

Abstract Background and aim Human evolution resulted from changes in our biology, behaviour, and culture. One source of these changes has been hypothesised to be our self-domestication (that is, the development in humans of features commonly found in domesticated strains of mammals, seemingly as a result of selection for reduced aggression). Signals of domestication, notably brain size reduction, have increased in recent times. Methods In this paper, we compare whole-genome data between the Late Neolithic/Bronze Age individuals and modern Europeans. Results We show that genes associated with mammal domestication and with neural crest development and function are significantly differently enriched in nonsynonymous single nucleotide polymorphisms between these two groups. Conclusion We hypothesise that these changes might account for the increased features of self-domestication in modern humans and, ultimately, for subtle recent changes in human cognition and behaviour, including language.
Free Surface Slopes at Controls in Channel Flow

It is commonly held that the slope of a free water surface in steady open channel flow is indeterminate at a control section. It is shown that the surface slope is finite and, subject to certain approximations, determinate. Expressions are derived for the surface slopes of critical flows over a smooth weir and through a smooth contraction. Experiments confirmed the validity of these expressions up to the surface slopes of tan - ¹0. 3 for weirs and tan - ¹0. 8 for contractions. It is shown that the same expressions could have been obtained using the one-dimensional energy equation, even though the assumption of hydrostatic pressure is not valid. The expression derived for the water surface slope yields a well-conditioned equation for numerical calculation of water surface profiles through a control. The possibility of using surface slope at a control section as a rating parameter is mentioned.
Phenolic-Based Discrimination between Non-Symptomatic and Symptomatic Leaves of Aesculus hippocastanum Infested by Cameraria ohridella and Erysiphe flexuosa

The herbivore Cameraria ohridella (kingdom Animalia) and the pathogen Erysiphe flexuosa (kingdom Fungi) are considered pests and biotic stressors of Aesculus hippocastanum (chestnut trees). The impact of both pests on the accumulation of secondary metabolites in chestnut leaves was investigated. Specifically, the interactive effect of both pests on metabolite accumulation and their potential role in enhancing the resistance of chestnut trees to biological stress was the focus of this study. Aesculus hippocastanum leaves with varying degrees of Cameraria ohridella infestation and Erysiphe flexuosa infection were used in this research. Leaf samples were collected during the plant vegetative growth phase and evaluated for pest infection and secondary metabolite content. Eight main polyphenols were identified in the leaves: (1) neochlorogenic acid, (2) (−)-epicatechin, (3) procyanidin trimer A-type, (4) procyanidin tetramer A-type, (5) quercetin-3-O-arabinoside, (6) quercetin-3-O-rhamnoside, (7) kaempferol-3-O-arabinoside, and (8) kaempferol-3-O-rhamnoside. It was found that the accumulation of metabolites, primarily those derived from epicatechin and quercetin, during the initial vegetation phase (up to 11.05 or 09.05), strongly depended on the later degree of pest infection. The differences observed in the metabolite dynamics in the chestnut leaves, depending on the extent of infection, indicate the development of a metabolic response mechanism in chestnut trees to biological stress.
Overclaiming. An international investigation using PISA data

ABSTRACT This paper investigates the phenomena of overclaiming – the propensity for individuals to claim more knowledge about an issue or topic than they really (or could possibly) do. Using Programme for International Student Assessment (PISA) data from nine Anglophone countries and over 40,000 young people, we examine teenagers’ propensity to claim knowledge of three mathematics constructs that do not really exist. We find substantial differences in young people’s tendency to overclaim across countries, genders, and socio-economic groups. Those who are most likely to overclaim are also found to exhibit high levels of overconfidence and believe they work hard, persevere at tasks, and are popular amongst their peers. Together this provides important new insight into overclaiming, how this differs across groups, and how it relates to other psychological constructs.
Deep Learning-Based Detection of Bone Tumors around the Knee in X-rays of Children

Even though tumors in children are rare, they cause the second most deaths under the age of 18 years. More often than in other age groups, underage patients suffer from malignancies of the bones, and these mostly occur in the area around the knee. One problem in the treatment is the early detection of bone tumors, especially on X-rays. The rarity and non-specific clinical symptoms further prolong the time to diagnosis. Nevertheless, an early diagnosis is crucial and can facilitate the treatment and therefore improve the prognosis of affected children. A new approach to evaluating X-ray images using artificial intelligence may facilitate the detection of suspicious lesions and, hence, accelerate the referral to a specialized center. We implemented a Vision Transformer model for image classification of healthy and pathological X-rays. To tackle the limited amount of data, we used a pretrained model and implemented extensive data augmentation. Discrete parameters were described by incidence and percentage ratio and continuous parameters by median, standard deviation and variance. For the evaluation of the model accuracy, sensitivity and specificity were computed. The two-entity classification of the healthy control group and the pathological group resulted in a cross-validated accuracy of 89.1%, a sensitivity of 82.2% and a specificity of 93.2% for test groups. Grad-CAMs were created to ensure the plausibility of the predictions. The proposed approach, using state-of-the-art deep learning methodology to detect bone tumors on knee X-rays of children has achieved very good results. With further improvement of the algorithm, enlargement of the dataset and removal of potential biases, this could become a useful additional tool, especially to support general practitioners for early, accurate and specific diagnosis of bone lesions in young patients.
ET FORSØG PÅ EN KLIMATISK- HYDROLOGISK REGIONSINDDELING AF HOLSTEINSBORG KOMMUNE (SISIMIUT)

Hasholt, B. & H. Sogaard 1978: Et forsog pa en klimatisk-hydrologisk regionsinddeling af Holsteinsborg kommune (Sisimut). Geografisk Tidsskrift 77: 72–92. Kobenhavn juni 1,1978. The Holsteinsborg municipality (Sisimut) has been divided into climatic and hydrological regions. The investigation is of a preliminary character due to the limited possibilities for field work. The regionalization is based upon selected climatological and hydrological parameters; these were primarily snow cover (precipitation), potential evapotranspiration, run-off, and temperature. Measurements of water quality have been used as indicator of the aridity in the area.
Neonatal Outcome of Mothers With COVID-19 in King Salman Armed Forces Hospital, Tabuk, Kingdom of Saudi Arabia

Objectives: This study was conducted to assess the neonatal outcome of mothers with COVID-19 in King Salman Armed Forces Hospital, Tabuk, Saudi Arabia. Methods: This was a hospital record-based, retrospective cohort study. The case group included neonates born to mothers who were positive for the COVID-19 virus during pregnancy, whereas the control group included neonates born to mothers who were not infected with the COVID-19 virus during pregnancy. The data were collected from the records and were analyzed using the Statistical Package for the Social Sciences software (IBM Corp., Armonk, NY, USA). Results: This study covered the hospital records of 342 women (114 cases and 228 control). The rates of cesarean sections and small for gestational age were significantly higher among the cases compared to the controls (71.1% versus 43.4%, p < 0.001 and 24.6% versus 11.8%, p = 0.003; respectively). The mean birth weight was significantly lower among the cases group (3.0 ± 0.6 versus 3.3 ± 0.6 kg, p = 0.022). Only the case group reported the occurrence of neonatal COVID-19 infection (7.9%, p < 0.001). The study reported only a single case of intrauterine fetal death and one stillbirth in the cases group, but no neonatal deaths (p > 0.05). Conclusions: Maternal COVID-19 may be associated with undesirable neonatal outcomes. There is a possibility of vertical transmission of COVID-19 from the mother to the neonate, but this cannot be confirmed.