Miracle-dz/UniFAR-FTUs huggingface dataset:
The Solanaceae of New Guinea.

An account of the family Solanaceae in New Guinea is presented. The following genera are naturalised and are represented by 1-2 species only Browallia, Brugmansia, Capsicum, Cestrum, Cyphomandra, Datura, Lycopersicon, Nicandra, Nicotiana and Physalis. Lycianthes is treated as a subgenus of Solanum. The genus Solanum with 59 species includes 7 alien species either cultivated, naturalised or weedy. Of the 52 native species, the following are described as new: S. abortivum Symon S. anfractum Symon, S. atheniae Symon, S. bitterianum Symon, S. borgmannii Symon, S. dendropilosum Symon, S. denseaculeatum Symon, S. expedunculatum Symon, S. incanoalabastrum Symon, S. infuscatum Symon, S. mankiense Symon, S. missimense Symon, S. multivenosum Symon, S. nolense Symon, S. papuanum Symon, S. pustukaum Symon, S. rivicola Symon, S. saruwagedensis Symon, S. umbonatum Symon.
Etiología, Distribución e Incidencia del Cancro del Aguacate Persea americana Mill. en Cuatro Municipios del Estado de Michoacán, México

Resumen es: Ceja-Torres, L.F. , Teliz-Ortiz, D. , Osada-Kawasoe, S. y Morales-Garcia, J.L. 2000. Etiologia, distribucion e incidencia del Cancro del aguacate Persea .
Frameworks for ICT Integration in Mathematics Education - A Teacher’s Perspective

Technology holds pedagogical affordances that can help address low performance in mathematics education. This research study investigated which factors significantly contributed to technology usage by Mathematics teachers. The 155 teachers surveyed were found to be regular users of computers, demonstrating a high opinion of the pedagogical worth of technology and perceiving the tool as being useful for enhancing Mathematic education. However, only a minority was really using technology in their teaching practices. Teachers reiterated the need to be adequately trained in the pedagogical integration of Information and Communication Technology (ICT), insisted on the provision of better computer services in schools, including access to the Internet and solicited the support of parents to accompany their children in their studies. A revised theoretical model was drawn based on the Technology Acceptance Model (TAM) and unified theory of acceptance and use of technology (UTAUT) models, and the two ICT related variables that caused significant variances in technology usage were perceived ease of use and facilitating conditions.
Educators’ Impression Construction: Considering Perceived Social Media Missteps

Social Media (SM) provide exciting instructional opportunities for educators. However, a simple Internet search reveals professional implications that have resulted from educators’ SM usage perceived as missteps. In this research, using an impression construction lens, we considered cases of educators’ SM missteps as perceived by stakeholders and as presented in the news media. From this analysis, a description of what is perceived as inappropriate teacher SM use is provided, explanations of the highlighted SM usage are considered, and a discussion of findings from an impression construction perspective is included. Results suggest impression construction in SM settings is a complex endeavor for educators that prompts varying opinions from stakeholder groups. Suggestions for professional SM use are included.
Antecedents of turnover intention: A meta-analysis study in the United States

The purpose of this paper was to determine the direction and effect size of the relationships between turnover intention and its main antecedents in the United States. The main predictors of turnover intention are chosen as job satisfaction, organizational commitment and empowerment. The studies which are published between 1998 and 2018 are reviewed. ScienceDirect, Scopus, and ProQuest databases were searched and 2.356 studies are screened. The meta-analysis software package, Comprehensive Meta-analysis Software (CMA), was used for the meta-analysis. 101 studies were suitable and the three data sets are formed: first set included 312,261 subjects and 91 studies relating job satisfaction to turnover intention, the second set included 13,502 subjects and 29 studies relating organizational commitment to turnover intention, and the third set included 997 subjects and 5 studies relating empowerment to turnover intention. Each data was heterogeneous significantly and the random effects model was used. Publication bias is analyzed for each data set and no evidence of publication bias was detected. The results revealed that the overall relationship between turnover intention and the selected three constructs was negative and significant: the power of the job satisfaction’s effect and organizational commitment’s effect are almost the same (-.52), and the power of the empowerment’s effect is weaker (-.22). Job satisfaction and organizational commitment have a large impact and empowerment has a small effect on turnover intention. The moderator analysis determined that type of industry and region are the moderators affecting the relationship between job satisfaction and turnover intention. The findings also provide guidance for the managers working in the United States who need to keep turnover under control.
Accuracy of the GENEActiv Device for Measuring Light Exposure in Sleep and Circadian Research

Light is a variable of key interest in circadian rhythms research, commonly measured using wrist-worn sensors. The GENEActiv Original is a cost-effective and practical option for assessing light in ambulatory settings. With increasing research on health and well-being incorporating sleep and circadian factors, the validity of wearable devices for assessing light environments needs to be evaluated. In this study, we tested the accuracy of the GENEActiv Original devices (n = 10) for recording light under a range of ecologically relevant lighting conditions, including LED, fluorescent, infrared, and outdoor lighting. The GENEActiv output had a strong linear relationship with photopic illuminance. However, the devices consistently under-reported photopic illuminance, especially below 100 lux. Accuracy below 100 lux depended on the light source, with lower accuracy and higher variability under fluorescent lighting. The device’s accuracy was also tested using light sources of varying spectral composition, which indicated that the device tends to under-report photopic illuminance for green light sources and over-report for red light sources. Furthermore, measures of photopic illuminance were impacted by infrared light exposure. We conclude that the GENEActiv Original is suitable for mapping light patterns within an individual context, and can reasonably differentiate indoor vs. outdoor lighting, though the accuracy is variable at low light conditions. Given the human circadian system’s high sensitivity to light levels below 100 lux, if using the GENEActiv Original, we recommend also collecting light source data to better understand the impact on the circadian system, especially where participants spend prolonged periods in dim lighting.
Value of computed tomography angiographic collateral status in prediction of malignant middle cerebral artery infarction

Background: Cerebral collateral circulation is necessary to maintain cerebral blood flow and penumbra when arterial insufficiency occurred. Only a few studies about collateral status on development of malignant middle cerebral artery infarction (mMCAi) have been documented. Objective: To determine whether collateral status evaluated by single phase computed tomographic angiography (CTA) help prediction of mMCAi in patients with large arterial occlusion whom not received endovascular treatment. Material and Methods: We retrospectively reviewed patients with acute ischemic stroke in anterior circulation in our institute during January 2015 to December 2015. We analyzed clinical data, baseline National Institutes of Health Stroke Scale (NIHSS), Alberta Stroke Program Early CT Score (ASPECTS) on baseline nonenhanced computed tomography of the brain (NECT brain), and CTA collateral status. Malignant MCA infarction was defined according to clinical criteria. Results: Thirty-five patients were included. Mean age was 68.8±15.56 years. Mean baseline NIHSS and baseline ASPECTS were 17(±5) and 6(±3), respectively. All patients received intravenous thrombolysis. CTA collateral status and baseline NECT ASPECTS significantly correlated with development of mMCAi (P-value = 0.007 and 0.001). Only baseline NECT ASPECTS was an independent predictive factor for mMCAi (OR 0.63, 95%CI 0.46-0.86, P-value =0.004). Patients with baseline NECT ASPECTS ? 7 were more likely develop mMCAi (OR 14.29 95%CI 1.57-129.94, P-value 0.018). Conclusion: In acute stroke patients with proximal MCA or ICA occlusion received intravenous thrombolysis alone, baseline NECT ASPECTS and CTA collateral status were significantly correlate with development of mMCAi. However, only baseline ASPECTS ? 7 was an independent predictor for mMCAi.
Proteolytic cleavage events in the maturation of HIV-1 reverse transcriptase

Each of the HIV-1 pol-encoded enzymes, protease (PR), reverse transcriptase (RT) and integrase (IN) are released during virion maturation and are active only as dimers. Of the three, only RT comprises subunits of different mass. RT in mature infectious virions is a heterodimer of 66 kDa and 51 kDa subunits, even though its gene encodes a 66 kDa protein. The RT p51 subunit is formed by HIV-1 PR-catalyzed cleavage of RT p66, resulting in the removal of a ribonuclease H (RNH) domain. Given the existence of completely active recombinant p66/66 RT homodimers and alternative RT oligomers in other retroviruses, the apparent need for p66/51 RT heterodimers in the HIV-1 virion is unclear. To determine why the generation of active viral RT requires three processing events, we introduced mutations in the p51-RNH and RT-IN protease cleavage sites of an infectious HIV-1 molecular clone. Mutation of the RT-IN cleavage site had no effect on the activity or proteolytic stability of the p98/51 RT product, although infectivity was severely attenuated. This result was similar to findings previously reported for the PR-RT cleavage site. Surprisingly, mutation of the internal p51-RNH cleavage site did not increase RT p66 content, but resulted in attenuated virus containing greatly decreased levels of RT that was primarily RT p51. We further identified a compensatory second-site mutation T477A, found to restore RT activity and processing to p66/51 RT when introduced in the background of p51-RNH cleavage site mutations. These studies demonstrate that cleavage of the internal p51-RNH junction, not the flanking N-terminal or C-terminal junctions is essential for proteolytic stability of functional RT during virion maturation. These findings further emphasize the importance of the RNH domain in regulating proteolytic generation of p66/51 RT. The overall need for the RT heterodimer is attributable to the generation of its subunits. Formation of the 51 kDa subunit or cleavage of the p51-RNH junction is essential for RT stability in the virion, whereas formation of the 66 kDa subunit is important for efficient viral replication.
Utilizing Amari-Alpha Divergence to Stabilize the Training of Generative Adversarial Networks

Generative Adversarial Nets (GANs) are one of the most popular architectures for image generation, which has achieved significant progress in generating high-resolution, diverse image samples. The normal GANs are supposed to minimize the Kullback–Leibler divergence between distributions of natural and generated images. In this paper, we propose the Alpha-divergence Generative Adversarial Net (Alpha-GAN) which adopts the alpha divergence as the minimization objective function of generators. The alpha divergence can be regarded as a generalization of the Kullback–Leibler divergence, Pearson χ2 divergence, Hellinger divergence, etc. Our Alpha-GAN employs the power function as the form of adversarial loss for the discriminator with two-order indexes. These hyper-parameters make our model more flexible to trade off between the generated and target distributions. We further give a theoretical analysis of how to select these hyper-parameters to balance the training stability and the quality of generated images. Extensive experiments of Alpha-GAN are performed on SVHN and CelebA datasets, and evaluation results show the stability of Alpha-GAN. The generated samples are also competitive compared with the state-of-the-art approaches.
Self‐constraining of low‐energy rivers explains low channel mobility and tortuous planforms

Meandering rivers are abundant on Earth, from the largest rivers to the smallest tributaries. The classical view of meandering rivers is a sinuous planform with rounded bends, which grow and migrate until they are cut‐off. However, many low‐energy meandering rivers have planforms that are much more complex than this classical view due to the heterogeneity of their alluvium, and show relatively limited channel migration. Based on a detailed palaeogeographic study of the Dommel River in The Netherlands, it is inferred that low‐energy meandering rivers may develop tortuous planforms with sharp bends, owing to self‐formed deposits that increasingly constrain the channel mobility. This mechanism is corroborated by data from 47 meandering river reaches of varied scale from around the world, which show that erosion‐resistant floodplain deposits are preserved in the river banks when the river energy is below a critical threshold. The term ‘self‐constraining’ is proposed for low‐energy rivers where an increase in bank stability over time results in progressive tortuous planforms and reduced mobility. A conceptual model, based on the dataset, shows that the increase in bank stability over time also increases the energy required to break out of the tendency to self‐constrain. Self‐constraining thereby enhances the resilience of the system to bank erosion, while an unexpected increase in bank erosion may occur if river energy exceeds the critical threshold. This study provides a novel explanation for the evolution of low‐energy river planforms and dynamics, and provides new insights on their responses to climate changes.
The Effect of Online Interpretations via Interactive White Boards on Vocabulary Learning

Background: English, as a foreign language, has become an essential part of educational curriculum in Iranian educational contexts. However, there has not been enough research in the domain of using technology in English classes in Iran to make learning easier and more accessible. The present study aims at investigating the effect of online interpretation of English lessons through Interactive White board on learning new vocabularies in an Iranian international school in the academic year 2017-2018. Methods: To achieve the goal, 60 female students were randomly selected as homogeneous learners after a placement test (Oxford Placement Test). Following a pre-test of vocabulary, all 60 participants were randomly assigned to 3 groups of 20 to be exposed to the experiment. The participants of all three groups received English vocabulary lessons on IWB screen while simultaneously receiving the online interpretation of each lesson through auditory, video, and pictorial annotations attached to the new words. In this process, the participants read the vocabularies and their usage in the texts. In the meantime, they were able to consult the data attached to them through IWB to find their definitions through auditory definition, pictures, or movies by touching the board. In order to measure the influence of whiteboard on their learning ability, the subjects of all three groups were given an immediate post-test after the lessons. Results: The data was analyzed through ANOVA and the results indicated that the group who received video interpretation (m=5.27) outperformed the auditory (m=4.42) and pictorial annotation groups (m=4.20), and auditory group displayed a significantly better performance than pictorial group. Conclusion: The results provide significant implications for teaching English vocabulary in international schools. They highlight the role of English language syllabus designers and international school educators and instructors in providing electronic programs that can substantially improve the learning process.
The Medicago truncatula Lysine Motif-Receptor-Like Kinase Gene Family Includes NFP and New Nodule-Expressed Genes1[W]

Rhizobial Nod factors are key symbiotic signals responsible for starting the nodulation process in host legume plants. Of the six Medicago truncatula genes controlling a Nod factor signaling pathway, Nod Factor Perception (NFP) was reported as a candidate Nod factor receptor gene. Here, we provide further evidence for this by showing that NFP is a lysine motif (LysM)-receptor-like kinase (RLK). NFP was shown both to be expressed in association with infection thread development and to be involved in the infection process. Consistent with deviations from conserved kinase domain sequences, NFP did not show autophosphorylation activity, suggesting that NFP needs to associate with an active kinase or has unusual functional characteristics different from classical kinases. Identification of nine new M. truncatula LysM-RLK genes revealed a larger family than in the nonlegumes Arabidopsis (Arabidopsis thaliana) or rice (Oryza sativa) of at least 17 members that can be divided into three subfamilies. Three LysM domains could be structurally predicted for all M. truncatula LysM-RLK proteins, whereas one subfamily, which includes NFP, was characterized by deviations from conserved kinase sequences. Most of the newly identified genes were found to be expressed in roots and nodules, suggesting this class of receptors may be more extensively involved in nodulation than was previously known.
Phytoplankton seasonality and composition along the coastal NE Adriatic Sea during the extremely low Po River discharge in 2006

Phytoplankton composition and abundance were analyzed in the period January – September 2006, along the NE coastal Adriatic. In 2006, the Po River discharge was twice as low as the 90 year average. The maximum riverine water inflow did not appear in spring but in September, resulting in a shift of phytoplankton maximum from spring to autumn. Diatoms provided most abundant phytoplankton with an annual maximum of 6 x 10^5 cells/L in the west Istrian coastal region (in September-October). The annual average abundance of diatoms was low (5.1 x 10^4 cells/L), but bigger than that of dinoflagellates (28x), coccolithophorids (13x), cryptophytes (6x) and green nanoflagellates (9x), respectively. A comparison was made between phytoplankton seasonality in the dry year 2006, and the year 2001 characterized by greater freshwater inputs. The drought period was characterised by the small cell size diatoms Cyclotella and Thalassiosira. Po River discharge from the west, the north-westerly ingoing current (Eastern Adriatic current) and oligotrophic karstic waters discharging along the eastern coast, strongly influence phytoplankton dynamics in the NE coastal Adriatic Sea.
Alternative Interpretations of Intermediate and Positive d13C Isotope Signals in Prehistoric Human Remains from Southern Mendoza, Argentina

During the last several years, information from stable isotopes has been used to discuss the role of maize agriculture in prehistoric economies of southern Mendoza. Because maize is one of several sources of 13C enriched carbon, a full evaluation of prehistoric diets requires data on a range of potential C3 and C4 plant resources. In this paper, we present stable isotope data (N = 89) for a suite of five previously unstudied edible cacti possessing a Crassulacean acid metabolism (CAM) photosynthetic pathway. Our results show that these plants have δ13C values overlapping C4 photosynthesizers such as maize. In order to understand their potential economic importance, we present additional procurement, processing, and nutritional data from actualistic experiments and the published literature. Using these data, we show why low levels of CAM plant consumption should be expected and how doing so may mimic a pattern of isotopically mixed diets often attributed to maize use.
Combining ability, gene action and heterosis in maize (Zea mays L.) under drought stress.

Combining ability, gene action and heterosis for grain yield and yield contributing traits were studied under drought stress at flowering in maize. The experiment was conducted at Institute for Agricultural Research farms, located at Samaru (1111'N; 0738'E) and Kadawa (1139'N; 0802'E) in Nigeria during the 2012/2013 dry season. Seven drought susceptible maize inbred lines used as female parents (designated as S1-S7) and six drought tolerant maize inbred lines used male parents (designated as P1, P2, P3, P4, P7 and P8) were crossed in North Carolina mating design II to generate 42 F1 hybrids. The evaluation trial was laid out using simple lattice design replicated two times. Data were collected on days to flowering, plant and ear heights, leaf senescence, number of ears per plant and grain yield. Results of the combining ability analysis revealed that both additive and dominance gene actions were responsible for the control of the traits. However, the effects of dominance gene action were preponderant in the genetic control of all the traits. The study showed that S7 and P8 were the best male and female general combiners among the parents, respectively. The cross S7 x P8 was the best among the hybrids having the highest desirable specific combining ability effect for grain yield. The hybrid also recorded high parent heterosis in terms of grain yield (133.33%) and days to 50% tasseling (-13.55%). It was concluded that these parental lines can be desirable for inclusion in breeding program since they may contribute favorable alleles in the synthesis of new varieties of this very important crop for drought stress environments.
USING GOOGLE CLASSROOM TO TEACH READING HORTATORY EXPOSITION TEXT

Abstract : Google Classroom is an appropriate Learning Management System (LMS) in teaching reading. Google Classroom helps students get easier in comprehending the text. This research intended to know the effectiveness of using Google Classroom to teach reading hortatory exposition text. Quantitative was chosen as the research approach, while the research design used was posttest-only control group design. This research used two classes that become an experimental class and control class. The experimental class was taught reading using Google Classroom, while the control class was taught with conventional teaching. To collect the data, post-reading comprehension tests in experimental and control classes were administered. Data were analyzed using mean scores, standard deviation, and independent-sample t-test. The findings showed that sig. the score was lower than the level of a significant 5%. It can be concluded that using Google Classroom to teach reading hortatory exposition text is effective. Abstrak : Google Classroom adalah Learning Management System (LMS) yang sesuai dalam mengajar membaca. Google Classroom membantu siswa siswi dalam memahami bacaan dengan mudah. Penelitian ini bertujuan untuk mengetahui efektifitas penggunakan Google Classroom untuk mengajar membaca text hortatory exposition. Kuantitatif dipilih sebagai pendekatan penelitian sedangkan design penelitian yang digunakan adalah posttest-only control group. Penelitian ini menggunakan dua kelas yaitu kelas eksperimen dan kelas control. Kelas ekperimen diajar membaca dengan menggunakan Google Classroom sedangkan kelas control diajar menggunakan conventional teaching. Untuk mengumpulkan data, tes akhir pemahaman membaca di kelas ekperimen dan control digunakan. Data yang terkumpul dianalisis menggunakan nilai rata-rata, standar deviasi dan independent sample t-test. Dari hasil yang diperoleh menunjukkan bahwa nilai signifikansi lebih rendah dari pada taraf signifikansi 5%. Ini dapat disimpulkan bahwa menggunakan Google Classroom untuk mengajar membaca teks hortatory exposition adalah efektif.