Miracle-dz/UniFAR-FTUs huggingface dataset:
Incidência natural de parasitóides em ovos de percevejos ( Hemiptera: Pentatomidae ) encontrados na soja no distrito federal

Um levantamento das especies de parasitoides de ovos de pentatomideos presentes na soja foi realizado em Planaltina, DF. Doze especies de parasitoides de ovos ( Telenomus edessae Fabricius , Telenomus podisi Ashmead , Telenomus sp., Trissolcus basalis (Wollaston) , Trissolcus brochymena Ashmead , Trissolcus sp. , Trissolcus teretis Johnson, Trissolcus urichi Crawford; Anastatus auriceps Ashmead, Eupelmus sp. , Ooencyrtus sp. e Neorileya sp. ) foram encontradas em sete especies de percevejos em soja: Acrosternum aseadum Rolston , Edessa meditabunda (Fabricius) , Euschistus heros (Fabricius) , Nezara viridula Linnaeus, Piezodorus guildinii (Westwood) , Podisus nigrispinus (Dallas) e Thyanta perditor (Fabricius). Registra-se, pela primeira vez, a ocorrencia de novos hospedeiros de A. auriceps ( A. aseadum ); T. teretis ( E. heros e T. perditor ); T. urichi ( A. aseadum, P. guildinii e P. nigrispinus ).
Groundwater Potential Mapping Using Remote Sensing and GIS-Based Machine Learning Techniques

Adequate groundwater development for the rural population is essential because groundwater is an important source of drinking water and agricultural water. In this study, ensemble models of decision tree-based machine learning algorithms were used with geographic information system (GIS) to map and test groundwater yield potential in Yangpyeong-gun, South Korea. Groundwater control factors derived from remote sensing data were used for mapping, including nine topographic factors, two hydrological factors, forest type, soil material, land use, and two geological factors. A total of 53 well locations with both specific capacity (SPC) data and transmissivity (T) data were selected and randomly divided into two classes for model training (70%) and testing (30%). First, the frequency ratio (FR) was calculated for SPC and T, and then the boosted classification tree (BCT) method of the machine learning model was applied. In addition, an ensemble model, FR-BCT, was applied to generate and compare groundwater potential maps. Model performance was evaluated using the receiver operating characteristic (ROC) method. To test the model, the area under the ROC curve was calculated; the curve for the predicted dataset of SPC showed values of 80.48% and 87.75% for the BCT and FR-BCT models, respectively. The accuracy rates from T were 72.27% and 81.49% for the BCT and FR-BCT models, respectively. Both the BCT and FR-BCT models measured the contributions of individual groundwater control factors, which showed that soil was the most influential factor. The machine learning techniques used in this study showed effective modeling of groundwater potential in areas where data are relatively scarce. The results of this study may be used for sustainable development of groundwater resources by identifying areas of high groundwater potential.
Diagnostic and management challenges of intraventricular neurocysticercosis presenting in the third trimester of pregnancy: A case report

The diagnosis of neurocysticercosis in pregnancy is challenging, even in endemic areas, as other neurological conditions with similar manifestations are common. Obstetricians and physicians may be reluctant to do neuroimaging in pregnancy and often the availability is limited in endemic areas. Management of neurocysticercosis depends on the symptomatology. In those presenting with features of increased intracranial pressure early treatment is necessary, taking into consideration the gestational age and the maternal condition at presentation. Presence of intraventricular cysts causing obstructive hydrocephalus necessitates their removal due to the risk of intracranial hypertension which could be life-threatening, particularly peripartum. We report a case of a woman with intraventricular neurocysticercosis, who presented in the third trimester, and described the management dilemmas that were encountered. The differential diagnoses and other aspects of the medical and surgical management of neurocysticercosis in pregnancy are also discussed.
Do rabbits need each other? Effects of single versus paired housing on rabbit body temperature and behaviour in a UK shelter

In the wild, rabbits (Oryctolagus cuniculus) are social but territorial. Recent surveys suggest that over half of pet rabbits are housed singly. We aimed to compare welfare in single versus paired rabbits. We predicted singletons would show more abnormal or escape behaviour, greater stress responses to handling, and reduced body temperature (being unable to huddle with another individual when cold), but that pairs may show aggression. This study was conducted during winter at a rabbit-only rescue centre, and included 45rabbits, comprising 15 housed singly and 15 pairs. Like most pet rabbits, they were housed either outdoors or in unheated outbuildings. Singletons were mostly in smaller enclosures than pairs. Home-pen observations (40 min) revealed bar-biting in 8/15 single rabbits compared with 0/30 of the paired ones. No other behavioural effects of social housing reached significance, and enclosure size showed no significant effects. Body temperature was significantly lower in singletons than pairs, with at least 0.5°C mean difference. On colder days, rabbits adopted compact postures more, and relaxed postures less frequently. After handling, pairs resumed normal behaviour significantly more quickly than singletons in the home-pen (3.0 [± 0.3] versus 8.3 [± 1.3] s, respectively). Aggression was never observed. The results indicate that social housing reduces bar-biting, aids thermoregulation, and may help buffer stress. Rabbit owners should be encouraged to meet the need for rabbits to be housed with an appropriate conspecific in a suitably large, sheltered enclosure.
The Effect of Pre-Servıce Teachers’ Beliefs in Behavior and Instructional Management on Their State of Liking of Children

The aim of this study is to determine the state of pre-service teachers’ liking children and their belief in Behaviour and instructional management (BIM), to examine them in terms of various variables and to find out the effect of their beliefs in BIM on their state of liking child. This study was designed through correlational research model. As a result, pre-service teachers' state of liking of child was high. Their belief in behaviour management was more interactionist than their belief on instructional management and their beliefs in BIM and their states of liking of child differed to some variables. Moreover; their state of liking of child related with their belief in instructional management significantly and their beliefs in BIM together explain 16% of the total variance of their state of liking of children. The beliefs of pre-service teachers’ liking of children and their beliefs in BIM should be perceived as professional attitude and value rather than personal feature.
Exploring Technology Professional Development Needs of Digital Immigrant Teachers and Digital Native Teachers in China

This study examined if professional development needs of digital natives and immigrant teachers differed for technology integration in a Chinese education setting. Quantitative and qualitative data was collected from 500 teachers at six schools in China. The digital native teachers and immigrant teachers were compared in terms of their different technology use behaviors and integration skills. The findings indicated that even though the digital native teachers had greater comfort with basic technology than the digital immigrant teachers, they still required training for effective integration of technology in their teaching. The digital immigrant teachers needed more basic technology operations training connections between technologies and teaching. Future technology professional developments in developing countries should: 1) consider the different needs of digital native teachers and digital immigrant teachers; 2) prepare them to make meaningful connections between technologies and their teachings; and 3) adopt individual coaching with on-site designated specialists.
The dimensions and functions of students’ achievement emotions in Chinese chemistry classrooms

ABSTRACT Research points to the important role achievement emotions play in academic performance and career choices, yet few studies have examined achievement emotions in non-Western contexts. The current study extends this research base by examining students’ achievement emotions among 103 eleventh-grade high school chemistry students in China. Using exploratory factor analysis and path analysis, we examined the dimensions of achievement emotions and tested a model in which achievement emotions mediated the relationship between chemistry self-efficacy and classroom engagement. Exploratory factor analysis indicated two distinct factors: positive emotions and shame. Path analysis showed that positive emotions partially mediated the effect of chemistry self-efficacy on classroom engagement. Chemistry self-efficacy was also negatively associated with shame. Findings are discussed in light of the role of Chinese culture in influencing the dimensions and functions of achievement emotions with implications for developing engaging classroom learning environments.
Thoughts on prevention and treatment of coronavirus disease 2019 (COVID-19) by traditional Chinese medicine/ 新型冠状病毒肺炎（COVID-19）中医药防治的思考

The etiology and pathogenesis of coronavirus disease 2019 (COVID-19), which was discovered in Wuhan in late 2019 and has spread to the world, were expounded. In view of the application of traditional Chinese medicine (TCM) in the plague over these years, the therapeutic advantages of TCM in different stages of COVID-19 were expounded as “strengthening body resistance and eliminating evil, meeting changes with constancy”, “Syndrome differentiation and treatment, meeting change with variance”, with aim to reduce the sequelae caused by hormone and other drugs and the mortality. It is suggested that Chinese medicine of clearing heat and removing toxin should be used to prevent the uninfected people from COVID-19, and intervene in the early stage of the disease and control the development of it to be severe by inhibiting the “cytokine storm”. In order to refine the dialectical classification according to the theory of “defensing-qi-nutrient-blood syndrome differentiation”, to give full play to the individual advantages of TCM in the prevention and treatment of COVID-19. We should pay attention to the rational use of TCM in the prevention and treatment of COVID-19, collect the real world clinical data, and integrate TCM and Western medicine with TCM as the main part. The COVID-19 database of integrated TCM and Western medicine can be used to prepare for the prevention and treatment of COVID-19.
A Review of the Impact of Green Building Certification on the Cash Flows and Values of Commercial Properties

This study aims to review empirical research concerning the impact of green certificates on property cash flows and values, particularly from professional property investors’ perspective. The study uses discounted cash flows (DCF), a widely used property valuation method in income-generating properties, as a methodological framework. In this study, over 70 peer-reviewed studies were identified, categorized, and analyzed in the DCF framework. The reviewed studies indicated that certificates might increase the rental income and decrease the operating expenses, vacancy, and risks of a property. Together with the brand value of certificates, these enhancements should lead to an increase in property value. The number of studies has grown rapidly during the 2010s. Lately, studies have developed from asset-level to portfolio-level examinations. Although the reviewed studies found certification to be beneficial, the range of reported benefits was wide, and over half of the studies concentrated on U.S. commercial real estate markets, with a strong focus on LEED and ENERGY STAR certificates. From a property valuation perspective, applying these results to other markets and certificates might be challenging. Property values that fully reflect the environmental performance of properties would be a key to motivate mainstream investors to adopt sustainable property features.
A model for the solution of the quantum measurement problem

The basic idea of quantum mechanics is that the property of any system can be in a state of superposition of various possibilities (or eigen states). This state of superposition is also known as wave function and it evolves linearly with time in a deterministic way in accordance with the Schrodinger equation. However, when a measurement is carried out on the system to determine the value of that property (say position), the system instantaneously transforms to one of the eigen states and thus we get only a single value as outcome of the measurement. Quantum measurement problem seeks to find the cause and exact mechanism governing this transformation. In an attempt to solve the above problem, in this paper, we will first define what the wave function represents in real world and will identify the root cause behind the stochastic nature of events. Then, we will develop a model to explain the mechanism of collapse of the quantum mechanical wave function in response to a measurement. In the process of development of model, we will explain Schrodinger cat paradox and will show how Born’s rule for probability becomes a natural consequence of measurement process.
Effect of sowing techniques on yield and rainfall productivity of pearl millet in gardud soil of north Kordofan state

Pearl millet is grown in environments that are drought-prone areas. The climate change is expected to increase vulnerability in all agro-ecological zones through rising temperature and more erratic rainfall, which will have drastic consequences on food security. Pearl millet is the cereal crop that has a great potential for ensuring food security and income generation in marginal areas because of its suitability to the extreme limits of agriculture. This study was carried out at the Jebel Kordofan experimental site, Sheikan province in North Kordofan state during 2010-2012 seasons to evaluate the effect of different sowing techniques on yield and rainfall productivity of local and improved millet cultivars. Treatments were a combination of four sowing techniques and two cultivars of pearl millet. The sowing techniques were: dry sowing, wet sowing, deep dibbling (10-cm depth) and priming with micro-dozing fertilizer. The two cultivars were Ashana (improved) and Dembi (local). These treatments were arranged in a split-plot design, the main plot for cultivars and subplot for sowing methods in four replications. The parameters studied were days to 50% flowering, plant height (cm), grain yield (kg/ha) and rainfall productivity (kg/ha/mm). The cultivars showed highly significant differences in the number of days to 50% flowering, plant height (cm), grain yield (kg/ha) and rainfall productivity (kg/ha/mm). The dry sowing technique significantly (P ? 0.05) produced the tallest plant (149cm), higher water use efficiency (5.10 kg/ha/mm) and the highest grain yield (1637 kg/ha). It can be concluded that the seedbed prepared with a chisel plough and sown on dry soil produced the highest grain yield.
EFFECTS OF LIGHT AND DIFFERENTIATION ON GINGEROL AND ZINGIBERENE PRODUCTION IN CALLUS CULTURE OF ZINGIBER OFFICINALE ROSC.

Ginger (Zingiber officinale Rosc.) is a herbaceous, rhizomatous, perennial, which its rhizomes are used as an important spices and medicine all over the world. The aromatic principles include zingiberine, while the pungent principles are known as gingeroles. Callus culture of the plants can produce the same compounds exist on their parent plants. The aim of this work was to evaluate the effect of light and differentiation on gingerol and zingiberine production in callus cultures of Z. officinale. A sterile in vitro plant was prepared by sterilization and subculture of buds, excised aseptically and inoculated into sterile culture jars containing Murashige and Skoog’s (MS) medium and were incubated at 25 ± 2 °C under a 16/8 h light/dark cycle. Then different parts of the sterile plant were inoculated in MS medium supplemented with different concentration of 2,4-dichlorophenoxy acetic acid and kinetin. The jars were separated into two groups, one incubated in dark and the other one in light environment, permanently. Production of metabolites was evaluated by TLC. Some of the metabolites were produced only in presence of light. No gingerol and zingiberen was detected on TLC plates of the dedifferentiated callus grown in light or dark environment. It seems that the production of gingerol and zingiberen in callus culture of Z. officinale is correlated with some sort of differentiation.
Response of Vegetation to Changes in Temperature and Precipitation at a Semi-Arid Area of Northern China Based on Multi-Statistical Methods

Hydrothermal and climatic conditions determine vegetation productivity and its dynamic changes. However, the legacy effect and the causal relationships between these climatic variables and vegetation growth are still unclear, especially in the dry regions. Based on multi-statistical methods, including bivariate correlation analysis and composite Granger causality tests, we investigated the correlation, causality, and lag length between temperature/precipitation and the vegetation growth (Normalized Difference Vegetation Index, NDVI) in three typical sub-watersheds in the Luanhe River Basin, China. The results show that: (1) Precipitation and temperature are the Granger causes of NDVI variation in the study catchment; (2) temperature and precipitation are not strictly positively correlated with NDVI during growing seasons along with the whole sequence, and excessive warmth and precipitation inhibits vegetative growth; (3) the lag length of vegetation growth in response to temperature/precipitation was shorter in agriculture areas (~2 months) than the forest-dominant area, which have indicated 3–4 months lag length; and (4) anthropogenic disturbance did not result in notable negative effects on vegetation growth at the Luanhe River Basin. Our study further suggests that use of these multi-statistical methods could be a valuable approach for comprehensively understanding the correlation between vegetation growth and climatic variations. We have also provided an avenue to bridge the gaps between stationary and non-stationary sequence, as well as to eliminate pseudo regression problems. These findings provide critical information for developing cost-efficient policies and land use management applications for forest conservation in arid and semi-arid area.
PACO ASDI: an algorithm for exoplanet detection and characterization in direct imaging with integral field spectrographs

Context.Exoplanet detection and characterization by direct imaging both rely on sophisticated instruments (adaptive optics and coronagraph) and adequate data processing methods. Angular and spectral differential imaging (ASDI) combines observations at different times and a range of wavelengths in order to separate the residual signal from the host star and the signal of interest corresponding to off-axis sources.Aims. Very high contrast detection is only possible with an accurate modeling of those two components, in particular of the background due to stellar leakages of the host star masked out by the coronagraph. Beyond the detection of point-like sources in the field of view, it is also essential to characterize the detection in terms of statistical significance and astrometry and to estimate the source spectrum.Methods. We extend our recent methodPACO, based on local learning of patch covariances, in order to capture the spectral and temporal fluctuations of background structures. From this statistical modeling, we build a detection algorithm and a spectrum estimation method:PACO ASDI. The modeling of spectral correlations proves useful both in reducing detection artifacts and obtaining accurate statistical guarantees (detection thresholds and photometry confidence intervals). Results.An analysis of several ASDI datasets from the VLT/SPHERE-IFS instrument shows thatPACO ASDIproduces very clean detection maps, for which setting a detection threshold is statistically reliable. Compared to other algorithms used routinely to exploit the scientific results of SPHERE-IFS, sensitivity is improved and many false detections can be avoided. Spectrally smoothed spectra are also produced byPACO ASDI. The analysis of datasets with injected fake planets validates the recovered spectra and the computed confidence intervals.Conclusions. PACO ASDIis a high-contrast processing algorithm accounting for the spatio-spectral correlations of the data to produce statistically-grounded detection maps and reliable spectral estimations. Point source detections, photometric and astrometric characterizations are fully automatized.
Interdecadal variability of tropical cyclone genesis frequency in western North Pacific and South Pacific ocean basins

Variability of tropical cyclone (TC) genesis frequency in the western North Pacific and South Pacific ocean basins in the interdecadal scale is studied. It is demonstrated that the TC genesis frequency in these ocean basins experienced an abrupt decrease near the end of the 20th century. The decreased occurrence of TC genesis in the two recent decades is mainly located in the low-latitude regions at the eastern side of the two ocean basins. It is also shown that a significant part of the decreased TC genesis occurred during October to December, i.e. the post-peak season in the western North Pacific ocean basin and the pre-peak season in the South Pacific ocean basin. The interdecadal trend of variation in the TC genesis frequency in these adjacent two ocean basins seems to be mainly due to a common mechanism, i.e. the variation in the atmospheric vorticity. In contrast to the decrease in the total TC genesis, the intense typhoon occurrence frequency experienced an interdecadal increase during the same period. This trend for intense typhoons is particularly clear in the western North Pacific ocean basin. The zonal distribution of the increased number in the intense typhoon occurrence shows a similar pattern to the increased value of the sea surface temperature. It is then suggested that the variation in the intense typhoon occurrence frequency in the western North Pacific ocean basin is related to a change in the La Niña-like sea surface warming pattern.
Fatty acid composition of horse tissues depending on their position in the carcass

The purpose of this work was to compare the fatty acid composition of the following reserve lipid tissues: mane, perirenal and intermuscular, and muscles: semimembranouswiththigh adductor, middle gluteal, dorsal longissimus and infraspinous with serratus. Perirenal tissue contained significantly less unsaturated fatty acids (59.96%, p<0.05) compared to mane (61.43%, p<0.05) and intermuscular (61.24%, p<0.05) tissues. The tissues differed in the content of palmitic, stearic, oleopalmitic, miristic, and linolenic acids. All the tissues had a predominance (from 2.87% to 3.92%) of linolenic acid over linoleic acid, unique to animal fats. The percentage of particular fatty acids, except palmitic and linoleic acids in all muscle lipids was very similar. In contrast to reserve lipid tissues, the content of linoleic acid in muscle lipids was higher by 1.68% to 4.18% than of linolenic acid.