Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of the Educational Software on First Grade Students' Reading Skills: Morpa Kampüs Application *

The purpose of this study is to evaluate the impact of educational software which is used for reading instruction on reading skills of first grade students. In the study, quasi-experimental posttest control group design was used. The study group is formed by first grade students from an elementary school in Ankara during 2012-2013 academic years. There are24 students in each experimental and control groups. According to the study, phonological awareness scores of experimental group students are significantly higher than that of control group students. Even though experimental group students scored higher in reading comprehension skills, there is no significant difference between experimental and control groups reading comprehension skills scores. Experimental group students made fewer reading errors compared to control group students. All students in experimental group completed reading the text but some students in control group could not finish reading it. Experimental group students read more words correctly per minute than control group students. It is concluded that there is no significant difference in prosody competency scores of both groups.
DIFFERENCES IN PROKARYOTIC SPECIES BETWEEN PRIMARY AND LOGGED-OVER DEEP PEAT FOREST IN SARAWAK, MALAYSIA

Peatland has an important role in environmental sustainability which can be used for agricultural purposes. However, deforestation in the logged-over forest may disrupt the diversity of microbial population in peat soil. Therefore, this study focuses on the differences of microbial populations in Maludam primary forest and Cermat Ceria logged-over forest in Sarawak, Malaysia. The prokaryotic 16S rDNA region was amplified followed by denaturing gradient gel electrophoresis (16S PCR-DGGE) analysis. Berger-Parker and Shannon-Weaver Biodiversity Index showed that Maludam (0.11, 7.75) was more diverse compared to Cermat Ceria (0.19, 7.63). Sequence analysis showed that the bacterial community in Maludam and Cermat Ceria were dominated by unclassified bacteria, followed by Acidobacteria, Actinobacteria, Firmicutes and α-Proteobacteria. Based on the findings, the distinct species that can be found in Maludam were Acidobacterium capsulatum, Solibacter sp. , Mycobacterium intracellulare, Rhodoplanes sp. , Clostridia bacterium, Exiguobacterium sp. and Lysinibacillus fusiformis. While, the distinct species that can be found in Cermat Ceria were Telmatobacter, Mycobacterium tuberculosis and Bacillus tequilensis. Overall, the findings showed that microbial population in the logged-over forest are less diverse compared to primary forest. Higher prokaryotic diversity identified in the primary forest compared to logged-over forest showed that deforestation might cause prokaryotic population changes to both ecosystems.
Unpacking resistance to change within‐school reform programmes with a social justice orientation

Previous research in the area of resistance has inadequately described opposition to change within‐school reform initiatives with a social justice orientation. A lack of attention to, and agreement on, the nature and causes of resistance may explain why so many equity‐minded educational reforms fail to be sustained. This article highlights various forms of resistance which emerged during a New Zealand study of an action research project that aimed to improve classroom practice and outcomes for marginalized students. In this research, teachers’ reform work was investigated from the perspectives of dominant and minority groups (students, teachers and parents/caregivers) within two schools involved in this work. Results indicated that different forms of resistance emerged over time, fuelled by separate concerns and characterized by different sets of behaviour. These findings reveal the complexity of resistance as both a construct and as a developmental process in the reform project. In addition, results revealed that school leaders felt unprepared and ill‐equipped to deal with resistance. Understanding the different sides to opposition would have aided reform efforts as resistance revealed a lack of shared vision, alongside inadequate communication and partnership processes. Implications for the preparation and professional development of social justice leaders working to develop and sustain such work are discussed.
Identification of important morphological traits in Mozambican sorghum [Sorghum bicolor (L.) Moench] germplasm using multivariate analysis

Classification of sorghum [Sorghum bicolor (L) Moench] breeding material based on multiple crucial characters is important towards the possible formation of homogeneous groups of genotypes and groups that can be exploited in the identification of parents for use in a breeding program. The objective was to determine the morphological characters that distinguish desirable breeding material and group the genotypes of sorghum according to similarity. Principal component analysis (PCA) and cluster analysis were used to establish the relationships among germplasm and the Shannon Diversity index was used to quantify the level of diversity. The experiment involving 26 sorghum genotypes was conducted at Sussundenga Research Station across two seasons and laid out in a 13 × 2 alpha lattice design with four replications. Cluster analysis grouped genotypes into four clusters based on 15 evaluated traits. Five principal components cumulatively accounting for 58.5% of the total variation were estimated from the PCA analysis. The results showed that genotypes 150B, IS 14257R, LARSVYT 46B, TX 631B, TX 630B and 8601B were the early maturity while for late maturity genotypes were MA 6B, A 6352R, ICSA 19B and MZ 30R. The genotypes IS 7179R, SPL 9B, A 6353R, SPL 38B, SDS 6013R and MZ 2R showed a potential for grain yield improvement. Other genotypes presented potential for drought tolerance and birds attack. The multivariate analyses clearly showed the grouping of the genotypes according to the characters outlined in the study. These results have implications in selecting parents for use in sorghum breeding program. Key words: Cluster analysis, diversity index, principal component analysis and sorghum improvement.
Savings-led growth theories: A time series analysis for Malaysia using the bootstrapping and time-varying causality techniques

The purpose of this study is to empirically investigate the vindication of savings-led growth hypothesis for the Malaysian economy with the long run TYDL version of Granger causality – Toda and Yamamoto (1995) and Dolado and Lutkepohl (1996). This study used the quarterly sample from 1970:Q1 to 2008:Q4. The recursive regression procedure will also incorporate into the TYDL causality test to measure the stability of the savings-led growth hypothesis in the long run. Our empirical results support that the savings-led growth hypothesis is long run phenomenon and stable over time. Therefore, the Malaysian dataset supports the endogenous growth theory.
Structural VAR identification of the Turkish business cycles

In this paper, we investigate some of the main properties of the Turkish business cycles. Our empirical findings indicate that domestic inflation is countercyclical with real output and lags the GDP cycle by one quarter. We then construct a structural VAR model upon the Turkish economy, and estimate that the courses of real variables are mainly determined by the supply shocks, while both real and nominal shocks affect significantly the dynamics of the nominal variables.
DYNAMICS OF TAXES, PUBLIC SERVICES, AND ENDOGENOUS GROWTH

We present a model of endogenous growth in which government consumption and production services are financed by distorting capital taxes. We generalize Barro's public finance model of growth in two ways. First, we study the properties, and the role in growth, of a wider menu of second-best optimal policies, namely, the capital tax rate and the portion of total tax revenues used to finance public production services versus public consumption services. Second, we investigate the possibility of the existence and uniqueness of a long-run equilibrium in which optimal policies do not change and the economy grows at a constant balanced growth path, as well as the possibility of dynamic determinacy of this long-run equilibrium.
Height Extraction and Stand Volume Estimation Based on Fusion Airborne LiDAR Data and Terrestrial Measurements for a Norway Spruce [ Picea abies (L.) Karst.] Test Site in Romania

The objective of this study was to analyze the efficiency of individual tree identification and stand volume estimation from LiDAR data. The study was located in Norway spruce [ Picea abies (L.) Karst. ] stands in southwestern Romania and linked airborne laser scanning (ALS) with terrestrial measurements through empirical modelling. The proposed method uses the Canopy Maxima algorithm for individual tree detection together with biometric field measurements and individual trees positioning. Field data was collected using Field-Map real-time GIS-laser equipment, a high-accuracy GNSS receiver and a Vertex IV ultrasound inclinometer. ALS data were collected using a Riegl LMS-Q560 instrument and processed using LP360 and Fusion software to extract digital terrain, surface and canopy height models. For the estimation of tree heights, number of trees and tree crown widths from the ALS data, the Canopy Maxima algorithm was used together with local regression equations relating field-measured tree heights and crown widths at each plot. When compared to LiDAR detected trees, about 40-61% of the field-measured trees were correctly identified. Such trees represented, in general, predominant, dominant and co-dominant trees from the upper canopy. However, it should be noted that the volume of the correctly identified trees represented 60-78% of the total plot volume. The estimation of stand volume using the LiDAR data was achieved by empirical modelling, taking into account the individual tree heights (as identified from the ALS data) and the corresponding ground reference stem volume. The root mean square error (RMSE) between the individual tree heights measured in the field and the corresponding heights identified in the ALS data was 1.7-2.2 meters. Comparing the ground reference estimated stem volume (at trees level) with the corresponding ALS estimated tree stem volume, an RMSE of 0.5-0.7 m 3 was achieved. The RMSE was slightly lower when comparing the ground reference stem volume at plot level with the ALS-estimated one, taking into account both the identified and unidentified trees in the LiDAR data (0.4-0.6 m 3 ).
Prospects of Big Data Analytics in Africa Healthcare System

Big data is having a positive impact in almost every sphere of life, such as in military intelligence, space science, aviation, banking, and health. Big data is a growing force in healthcare. Even though healthcare systems in the developed world are recording some breakthroughs due to the application of big data, it is important to research the impact of big data in developing regions of the world, such as Africa. Healthcare systems in Africa are, in relative terms, behind the rest of the world. Platforms and technologies used to amass big data such as the Internet and mobile phones are already in use in Africa, thereby making big data applications to be emerging. Hence, the key research question we address is whether big data applications can improve healthcare in Africa especially during epidemics and through the public health system. In this study, a literature review is carried out, firstly to present cases of big data applications in healthcare in Africa, and secondly, to explore potential ethical challenges of such applications. This review will provide an update on the application of big data in the health sector in Africa that can be useful for future researchers and health care practitioners in Africa.
Effect of Statin Therapy on Arterial Wall Inflammation Based on 18F-FDG PET/CT: A Systematic Review and Meta-Analysis of Interventional Studies

Aim. To evaluate by meta-analysis of interventional studies the effect of statin therapy on arterial wall inflammation. Background. Arterial exposure to low-density lipoprotein (LDL) cholesterol levels is responsible for initiation and progression of atherosclerosis and arterial wall inflammation. 18F-fluorodeoxyglucose Positron Emission Tomography-Computed Tomography (18F-FDG PET/CT) has been used to detect arterial wall inflammation and monitor the vascular anti-inflammatory effects of lipid-lowering therapy. Despite a number of statin-based interventional studies exploring 18F-FDG uptake, these trials have produced inconsistent results. Methods. Trials with at least one statin treatment arm were searched in PubMed-Medline, SCOPUS, ISI Web of Knowledge, and Google Scholar databases. Target-to-background ratio (TBR), an indicator of blood-corrected 18F-FDG uptake, was used as the target variable of the statin anti-inflammatory activity. Evaluation of studies biases, a random-effects model with generic inverse variance weighting, and sensitivity analysis were performed for qualitative and quantitative data assessment and synthesis. Subgroup and meta-regression analyses were also performed. Results. Meta-analysis of seven eligible studies, comprising 10 treatment arms with 287 subjects showed a significant reduction of TBR following statin treatment (Weighted Mean Difference (WMD): −0.104, p = 0.002), which was consistent both in high-intensity (WMD: −0.132, p = 0.019) and low-to-moderate intensity statin trials (WMD: −0.069, p = 0.037). Statin dose/duration, plasma cholesterol and C-reactive protein level changes, and baseline TBR did not affect the TBR treatment response to statins. Conclusions. Statins were effective in reducing arterial wall inflammation, as assessed by 18F-FDG PET/CT imaging. Larger clinical trials should clarify whether either cholesterol-lowering or other pleiotropic mechanisms were responsible for this effect.
Effect of needle type on intravascular injection in transforaminal epidural injection: a meta-analysis

Background Lumbosacral transforaminal epidural injection (TFEI) is an effective treatment for spinal disease. However, TFEI may have several types of complications, some of which can be attributed to intravascular injection. We reviewed studies to compare the intravascular injection rate among different needle types. Methods We searched the literature for articles on the intravascular injection rate among different needle types used in TFEI. The search was performed using PubMed, MEDLINE, the Cochrane Library, EMBASE, and Web of Science. Results A total of six studies comprising 2359 patients were identified. Compared with the Quincke needle, the Whitacre needle reduced the intravascular injection rate (OR = 0.57, 95% CI = [0.44–0.73], P < 0.001). However, compared with the Quincke needle, the Chiba needle did not reduce the intravascular injection rate (OR = 0.80, 95% CI = [0.44–1.45], P = 0.46). In one study, the intravascular injection rate using a blunt-tip needle was lower than that using a sharp needle. In another study, the Whitacre and the blunt-tip needle have similar intravascular injection rates, while, the catheter-extension needle showed a reduced intravascular injection rate. Conclusions This meta-analysis showed that the Whitacre needle reduced the intravascular injection rate as compared with the Quincke needle, but failed to establish that the Chiba needle can decrease the intravascular injection rate in TFEI. Moreover, the blunt-tip needle can reduce the intravascular injection rate compared with the Quincke needle, and the catheter-extension needle can reduce the intravascular injection rate compared with the Whitacre and the blunt-tip needle.
Long-term exposure to anticholinergic and sedative medications and cognitive and physical function in later life.

Background Anticholinergic and sedative medications are frequently prescribed to older individuals. These medications are associated with short-term cognitive and physical impairment, but less is known about long-term associations. We therefore examined over twenty years whether cumulative exposure to these medications was related to poorer cognitive and physical functioning. Methods Older adult participants of the Longitudinal Aging Study Amsterdam (LASA) were followed from 1992-2012. On 7 measurement occasions, cumulative exposure to anticholinergic and sedative medications was quantified with the Drug Burden Index (DBI), a linear additive pharmacological dose-response model. Cognitive functioning was assessed with the Mini Mental State Examination (MMSE), Alphabet Coding Task (ACT, 3 trials), Auditory Verbal Learning Test (AVLT, learning and retention condition), and Raven Colored Progressive Matrices (RCPM, 2 trials). Physical functioning was assessed with the Walking Test (WT), Cardigan Test (CT), Chair Stands Test (CST), Balance Test (BT), and self-reported Functional Independence (FI). Data were analyzed with linear mixed models adjusted for age, education, sex, living with a partner, BMI, depressive symptoms, co-morbidities (cardiovascular disease, diabetes, cancer, COPD, osteoarthritis, CNS diseases), and prescribed medications. Results Longitudinal associations were found of the DBI with poorer cognitive functioning (less items correct on the 3 ACT trials, AVLT learning condition, and the 2 RCPM trials) and with poorer physical functioning (longer completion time on the CT, CST, and lower self-reported FI). Conclusions This longitudinal analysis of data collected over 20 years, showed that higher long-term cumulative exposure to anticholinergic and sedative medications was associated with poorer cognitive and physical functioning.
Sex and Mitonuclear Adaptation in Experimental Caenorhabditis elegans Populations

To reveal phenotypic and functional genomic patterns of mitonuclear adaptation, a laboratory adaptation study with Caenorhabditis elegans nematodes was conducted in which independently evolving lines were initiated from a low-fitness mitochondrial electron transport chain (ETC) mutant, gas-1. Following 60 generations of evolution in large population sizes with competition for food resources, two distinct classes of lines representing different degrees of adaptive response emerged: a low-fitness class that exhibited minimal or no improvement compared to the gas-1 mutant ancestor, and a high-fitness class containing lines that exhibited partial recovery of wild-type fitness. Many lines that achieved higher reproductive and competitive fitness levels were also noted to evolve high frequencies of males during the experiment, consistent with adaptation in these lines having been facilitated by outcrossing. Whole-genome sequencing and analysis revealed an enrichment of mutations in loci that occur in a gas-1-centric region of the C. elegans interactome and could be classified into a small number of functional genomic categories. A highly nonrandom pattern of mitochondrial DNA mutation was observed within high-fitness gas-1 lines, with parallel fixations of nonsynonymous base substitutions within genes encoding NADH dehydrogenase subunits I and VI. These mitochondrial gene products reside within ETC complex I alongside the nuclear-encoded GAS-1 protein, suggesting that rapid adaptation of select gas-1 recovery lines was driven by fixation of compensatory mitochondrial mutations.
Bloodmeal Host Selection of Culex quinquefasciatus (Diptera: Culicidae) in Las Vegas, Nevada, United States

Abstract St. Louis encephalitis virus (SLEV) and West Nile virus (WNV) have recently emerged in the southwestern United States. Surveillance for arboviruses in Las Vegas, NV, detected a surge of SLEV activity in the southern house mosquito (Culex quinquefasciatus Say) during 2016. To identify candidate avian amplifiers, we assessed the identification, viral infection, and immune status of vertebrate hosts for 195 blood-engorged Cx. quinquefasciatus mosquitoes collected in August and September 2016. Bloodmeals were identified from 164 engorged abdomens, representing 19 species of birds and three species of mammals. No SLEV or WNV viremia was detected, but one mosquito tested positive for Culex flavivirus. House finch (Haemorhous mexicanus) (Muller) was the most common bloodmeal, followed by domestic chicken (Gallus gallus) (Linnaeus), American robin (Turdus migratorius) L. , house sparrow (Passer domesticus) (L.), great-tailed grackle (Quiscalus mexicanus) (Gmelin), northern mockingbird (Mimus polyglottos) (L.) and mourning dove (Zenaida macroura) (L.). SLEV-reactive antibodies were detected in six identified bloodmeals and WNV-reactive antibodies were detected in 33. House sparrow and house finch were the most likely hosts to show previous exposure to SLEV and WNV, respectively. Over-utilization by Cx. quinquefasciatus for bloodmeal hosts was observed primarily among robin, finch and sparrow, all species that roost communally. House finch stands out as a candidate important amplifier for both SLEV and WNV because of its preference by mosquito vectors, and high competence for closely related virus strains. While implicated in previous outbreaks as an important mosquito vector, Cx. quinquefasciatus feeds infrequently on mammals in Las Vegas, indicating a low risk for bridge transmission to humans.
Responding to joint attention bids in schizophrenia: An interactive eye-tracking study

This study investigated social cognition in schizophrenia using a virtual reality paradigm to capture the dynamic processes of evaluating and responding to eye gaze as an intentional communicative cue. A total of 21 patients with schizophrenia and 21 age-, gender-, and IQ-matched healthy controls completed an interactive computer game with an on-screen avatar that participants believed was controlled by an off-screen partner. On social trials, participants were required to achieve joint attention by correctly interpreting and responding to gaze cues. Participants also completed non-social trials in which they responded to an arrow cue within the same task context. While patients and controls took equivalent time to process communicative intent from gaze shifts, patients made significantly more errors than controls when responding to the directional information conveyed by gaze, but not arrow, cues. Despite no differences in response times to gaze cues between groups, patients were significantly slower than controls when responding to arrow cues. This is the opposite pattern of results previously observed in autistic adults using the same task and suggests that, despite general impairments in attention orienting or oculomotor control, patients with schizophrenia demonstrate a facilitation effect when responding to communicative gaze cues. Findings indicate a hyper-responsivity to gaze cues of communicative intent in schizophrenia. The possible effects of self-referential biases when evaluating gaze direction are discussed, as are clinical implications.
Simulated shift work disrupts maternal circadian rhythms and metabolism, and increases gestation length in sheep

Shift work impairs metabolic health, although its effects during pregnancy are not well understood We evaluated the effects of a simulated shift work protocol for one‐third, two‐thirds or all of pregnancy on maternal and pregnancy outcomes in sheep. Simulated shift work changed the timing of activity, disrupted hormonal and cellular rhythms, and impaired maternal glucose tolerance during early pregnancy. Gestation length was increased in twin pregnancies, whereas singleton lambs were lighter at a given gestational age if mothers were subjected to shift work conditions in the first one‐third of pregnancy. Exposure to rotating night and day shifts, even if only in early pregnancy, may adversely affect maternal metabolic and pregnancy outcomes.