Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of cropping patterns in the command area of multiple reservoir system using TLBO algorithm

ABSTRACT The multiple reservoir system saves and supplies additional quantity of water to growing crops during subsequent season in the command areas of semiarid regions. However, the optimization of cropping patterns in the command area of a multiple reservoir system is crucial to increase agricultural yield and food security to feed an increasing global population. The objective of this study was to develop teaching learning-based optimization (TLBO) model for effective utilization of surplus water of upstream reservoir in command area of downstream reservoir in a multiple reservoir system to optimize cropping pattern and maximize the net benefits (NBs). Comparing the results TLBO model with those of LP model, concluded that the wheat cultivation has to be increased to enhance net benefits and food security. The enhanced net benefit was approximate 20.24% with the use of the TLBO model. The total crop area is augmented by 12.26%, 44.38%, and 52.73% with the use of the TLBO model in the command area of Aji2, Nyari-2, and Aji-3 reservoir, respectively, after considering utilization of surplus water of Aji-2 reservoir in the command area of Nyari-2 and Aji-3 reservoir.
Automatic Identification of Peanut-Leaf Diseases Based on Stack Ensemble

Peanut is an important food crop, and diseases of its leaves can directly reduce its yield and quality. In order to solve the problem of automatic identification of peanut-leaf diseases, this paper uses a traditional machine-learning method to ensemble the output of a deep learning model to identify diseases of peanut leaves. The identification of peanut-leaf diseases included healthy leaves, rust disease on a single leaf, leaf-spot disease on a single leaf, scorch disease on a single leaf, and both rust disease and scorch disease on a single leaf. Three types of data-augmentation methods were used: image flipping, rotation, and scaling. In this experiment, the deep-learning model had a higher accuracy than the traditional machine-learning methods. Moreover, the deep-learning model achieved better performance when using data augmentation and a stacking ensemble. After ensemble by logistic regression, the accuracy of residual network with 50 layers (ResNet50) was as high as 97.59%, and the F1 score of dense convolutional network with 121 layers (DenseNet121) was as high as 90.50. The deep-learning model used in this experiment had the greatest improvement in F1 score after the logistic regression ensemble. Deep-learning networks with deeper network layers like ResNet50 and DenseNet121 performed better in this experiment. This study can provide a reference for the identification of peanut-leaf diseases.
Validity and Utility of the Test of Creative Thinking Drawing Production for Dutch Adolescents

We examined the divergent validity and utility of the Test for Creative Thinking–Drawing Production (TCT-DP) in an identification protocol for high-ability students that included measures of intelligence, school motivation, inquisitiveness, creativity, and academic achievement. Data were collected from seventh-grade students across 6 years (n = 710). Small significant correlations between the different measures indicated that the TCT-DP did measure a construct separate from intelligence, school motivation, inquisitiveness, and academic achievement. Furthermore, creativity did not significantly affect academic achievement when controlling for intelligence, school motivation, and inquisitiveness. We did not find support for threshold theory. Finally, we concluded that the TCT-DP provides useful additional information on creativity for high-ability identification in which measures of intelligence, school motivation, and inquisitiveness are already included. Thus, this study’s findings provide evidence for the utility and divergent validity of the TCT-DP when used with a Dutch population.
Contrasting patterns of food and macronutrient limitation in the field among co‐existing omnivorous carnivores

1. Carnivores are often food and/or macronutrient limited in their natural habitats, but whether they are limited mostly by protein or lipid is still a matter of controversy. As many predators and carnivorous scavengers also include plant material in their diet (omnivory), carbohydrate limitation is also possible.
Multiple Line Outage Detection in Power Systems by Sparse Recovery Using Transient Data

Fast and accurate transmission line outage detection can help the central control unit to respond rapidly to better maintain the security and reliability of power systems. It is especially critical in the situation of multiple line outages which is more likely to trigger cascading failures. In this article, we investigate the problem of multiple line outage detection through sparse representation based on the transient dynamics captured by Phasor Measurement Units (PMUs). An accumulation-based method is proposed to reduce the noise interference. By introducing an adaptive threshold selection rule, a modified sparse signal recovery algorithm is proposed to improve the performance of multiple line outage detection. Furthermore, an event-triggered mechanism is presented to reduce the computation burden. Finally, numerical experiments based on the IEEE Standard Test Bus System are conducted to illustrate the effectiveness of our method.
Modeling net primary productivity of wetland with a satellite-based light use efficiency model

Abstract Wetland, an important carbon pool on the earth, is of great significance for human beings and the environment. In this study, we modeled the wetland NPP using Carnegie–Ames–Stanford Approach (CASA) and time series with high spatial and temporal resolution generated by Landsat 8 and Sentinel-2 images. Firstly, the downscaled Landsat 8 data (10 m) combined with Sentinel-2 data were utilized to produce time series with high spatial and temporal resolution. Subsequently, all Sentinel-1 and Sentinel-2 data within each stage (five stages.) are employed to obtain monthly wetland maps in these stages by an adaptive Stacking algorithm, respectively. Then, monthly fraction cover maps (mainly sedge, reed and poplar) were derived from the time series reflectance product using fully constrained least squares (FCLS) in these five Stages, respectively. Finally, monthly normalized difference vegetation index (NDVI), land surface water index (LSWI), temperature, solar radiation, as well as wetland maps and were combined to estimate monthly and total NPP in the Dongting Lake wetland by CASA model. The high correlation (R2 = 0.8445) and low (RMSE = 20.30 g C/m2) between the estimated NPP using proposed method and measured NPP demonstrated a significant linear relationship and the estimated NPP based on Sentinel-2 data using the CASA model with the above-described input parameters is creditable. The NPP estimation method in this paper is expected to provide scientific data support for quantitative research of regional wetland carbon reserves and sustainable development.
Effect of Dietary Carotenoids on Reproducers of Amazon River Prawn Macrobrachium amazonicum. Part 1: Metabolism, Morphometric / Zootechnical Indexes, Body Composition and Gametes

The inclusion of natural extracts and solution of synthetic astaxanthin in the Macrobrachium amazonicum diet were tested to verify their effect on performance, body indexes and total accumulation of astaxanthin in the reproductive tissues and gametes of this crustacean in comparison with newly captured wild animals. The experiment was randomized in blocks (five treatments with three replicates). Four groups were submitted, during 20 days, to diets in recirculation tanks: control diet (CONT); diet containing natural extract of “buriti” (CAR); diet with inclusion of natural “urucum” extract (BIXN), diet with synthetic astaxanthin (ASTX) and NATURAL group (not fed with ration). 180 prawns were used, with 60 males (6.08±1.96 g) and 120 females (4.55±1.03 g) distributed in five groups containing four males and eight females each. There were no significant differences in performance and body indexes. The number of released spermatozoids, live spermatozoids, body and egg pigmentation was higher in BIXN and ASTX treatments. The ASTX treatment was superior to the NATURAL group in the body pigmentation of females and eggs and release of spermatophores by males. These results demonstrate that the use of natural and artificial carotenoid pigments in the diet are beneficial for reproduction of M. amazonicum.
Evidence for Coupling Between the Subseasonal Oscillations in the Southern Hemisphere Midlatitude Ocean and Atmosphere

A regional perspective is taken to investigate the intriguing ∼25‐day periodicity in the Southern Hemisphere (SH) baroclinic annular mode (BAM) and the possible underlying mechanisms. Results show that the 25‐day periodicity exists not only in the zonal average but also in the regional average of eddy activity as long as the domain of the average is wide enough to accommodate a wave packet. The favorable domain for the ∼25 days periodicity is located downstream of the largest baroclinicity in midlatitudes. The wave activity developed there can travel circumglobally several times with a typical group velocity of 25 m s−1, and reenter the domain every 12.5 days, setting the base periodicity. A slower oceanic oscillation at a time scale of ∼100 days in the same region appears to select and reinforce the multiples of 12.5 days, giving rise to a pronounced ∼25‐day periodicity in the wave activity.
Assessment of tree diversity in tropical moist deciduous forest of Mizoram University, Northeast India

Forests are the main repository of biodiversity and play an important role in maintaining the ecological balance of nature. The status of species diversity reflects the health of the ecosystem. Therefore, the information on variation in the flora, for example, species composition, diversity and the basal area within any ecosystem like the forest of Mizoram University campus, Tanhril village, Aizawl would be important in understanding the forest wealth of the campus. Keeping in view, the study was analyzed the composition and diversity of Mizoram University campus by laying 16 (10 m ×10 m) quadrats at random locations during 2015-2016. A total of 35 tree species belonging to 30 genera and 22 families were recorded in the forest communities of University Campus. Aporusa octandra was the most dominant tree species with maximum 31.50 importance value index (IVI), 3.29 Shannon diversity index (H0) and 6972 Simpson’s index (D) followed by Castanopsis tribuloides (28 IVI, 0.22 H0 and 5256 D) and least dominant species recorded were: Albizia odoratissima, Anogeissus acuminate, Lithocarpus elegans, Oroxylum indicum. This study suggests that the forest patches are recovering after the establishment of the University because of adequate protection which was degraded in the past by the villager for collecting the trees for firewood, edible wild food and selecting the mature trees for felling. Therefore, further studies on regeneration potential of tree species would be crucial for the conservation of ecologically important species and to assess rates of their recovery following the disturbance.
Fibrosis-4 index and mortality in coronavirus disease 2019: a meta-analysis

Background/aims In this meta-analysis, we aimed to evaluate the prognostic value of fibrosis-4 index (FIB-4) in COVID-19. Methods We performed a comprehensive literature search of PubMed, Embase, and Scopus databases on 26 November 2020. FIB-4 was calculated by [age (years) × AST (IU/L)]/[platelet count (109/L) × √ALT (U/L)]. A value above cutoff point was considered high and a value below cutoff point was considered low. The main outcome was mortality, the association between high FIB-4 and mortality was reported in odds ratio (OR). Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic OR (DOR), area under the curve (AUC) were generated. Results There were 963 patients from five studies included in this systematic review and meta-analysis. Meta-analysis showed that high FIB-4 was associated with increased mortality [OR 3.96 (2.16–7.27), P < 0.001; I2: 41.3%]. High FIB-4 was associated mortality with a sensitivity of 0.56 (0.40–0.70), specificity of 0.80 (0.72–0.86), PLR 2.8 (1.8–4.2), NLR 0.55 (0.39–0.78), DOR 5 (2–10), and AUC of 0.77 (0.73–0.81). Fagan’s nomogram indicated that for a pre-test probability (mortality) of 30%, a high FIB-4 was associated with 54% post-test probability and a low FIB-4 was associated with 19%, respectively. The funnel-plot analysis was asymmetrical, trim-and-fill analysis by imputation of a study on the left side using linear estimator resulted in an OR of 3.48 (1.97–6.14). Egger’s test showed no indication of small-study effects (P = 0.881). Conclusion High FIB-4 was associated with mortality in patients with COVID-19.
The Relationship Between Leadership Styles and Innovation-Case Study Using SEM

The main objective of this study is to determine the relationship between leadership styles and innovation. For the employees of the National Electricity and Gas Distribution Company. The study included 104 questionnaires collected from the employees of the National Electricity and Gas Distribution Company in BECHAR. Data were analyzed using SPSS and AMOS. Which is used in modeling structural equations (SEM). After the questionnaires were adopted, the following conclusions were reached: There is no statistically significant relationship between autocratic style and innovation, there is statistically significant relationship between democratic style and innovation, there is statistically significant between relationship The Laissez-faire leadership style and innovation The study also concluded with a set of recommendations the most important of them: Instilling in individuals a sense of belonging to create and develop innovation and creativity, promoting democratic style and Laissez-faire leadership style because of their positive results on innovation, Holding seminars and workshops discussing leadership styles, and what is attributed to each style of advantages and disadvantages. 2357-1330 © 2021 Published by European Publisher.
Fast and Reliable Missing Tag Detection for Multiple-Group RFID Systems

Radio frequency identification (RFID) technology has been deployed in various scenarios in recent years. In some practical RFID applications, the items attached with tags can be divided into multiple groups. Thus, the efficient and accurate missing tag detection of each group is critical. Accordingly, this article concentrates on the problem of missing tag detection in the multiple-group RFID systems, after which three distinctive protocols are proposed. First, we propose an aptitudinal multiple-group missing tag detection protocol, which makes full use of the expected singleton slots. Then, an enhanced multiple-group missing tag detection protocol is proposed, which can achieve significant broadcast and response savings. Finally, an accurate and expeditious multiple-group missing tag detection protocol is designed, the detection reliability of which can approximate 100%. The theoretical analysis and extensive simulations are conducted and the results verify that the proposed protocols in this article outperform the other ones.
The effect of media coverage on target firms’ trading activity and liquidity around domestic acquisition announcements: evidence from UK

ABSTRACT This study investigates the effect of news media coverage on trading activity in, and the liquidity of, target firms’ shares around acquisition announcements. We use the number of articles published in four of the UK's main newspapers as a proxy for media coverage. Our dataset includes 350 UK domestic acquisition deals between 1996 and 2014. The results of our analysis suggest that media coverage is positively associated with target firms’ trading activity and stock liquidity. This is consistent with the media playing a key role in mitigating information asymmetry in the financial markets. This study contributes to the literature on stock market reactions to acquisition announcements by investigating the effect of media coverage on trading activity and stock liquidity beyond the price run-up, and by providing additional insights into the UK market which traditionally attracts less attention than the US market.
Assessing the Use of Innovative Tools for Library Instruction and Services in Federal University Libraries in South-South, Nigeria

The study investigated the adoption of innovative tools for library instruction and services in Federal University libraries in South-South zone of Nigeria. The study cut across six federal university libraries in the zone with a total population of 93 academic librarians. The findings revealed that fewer numbers of the respondents have adopted and used innovative tools for library instruction and services which majority of the respondents are yet to use innovative tools for instruction and service delivery. It also showed that the frequency of use of the tools were staggered with social media and text messaging being the ones that are used daily, email was used on a weekly basis while Library Blog, website and OPAC were mostly used on quarterly basis and a general none use of radio broadcasting. The findings further indicated that inadequate use of innovative tools would affect patronage and adequate delivery of library instruction and services to the library patrons who are in different geo-political locations. The researchers recommended the need for library management in federal universities in the South-South zone of Nigeria to explore viable innovative tools for ilibrary instruction and services, Keywords: Innovative tools, Library instruction, Library services, Librarians, University libraries
The Role of Dexamethasone in the Era of “Dex-CSDH” Randomized Controlled Trial. A Multicenter, Prospective Study on Specific Subset of Patients with Chronic Subdural Hematoma (CSDH) Treated with Dexamethasone Alone or Surgery

Background: The efficacy of Dexamethasone as a method of conservative management for CSDH to avoid surgery remains inconclusive even after “Dex-CSDH” randomized controlled trial as almost all patients underwent an initial operation to remove the hematoma. Current study aims to determine the efficacy and safety of Dexamethasone alone therapy in comparison with the surgical drain of CSDH. Methods: A multicenter, prospective study on mild to moderately symptomatic adult patients with CSDH were performed from January 2019 to December 2020. The patients were enrolled in a 1:1 ratio to receive a 3-weeks tapering course of oral Dexamethasone, starting at 4 mg thrice daily, or surgical drain of CSDH. The patient was assigned to a particular therapy based on their preference. The primary outcome was functional outcome in each group at 6 months determined by mRS, and cure rate (symptomatic relief and radiological resolution of CSDH). Results: Twenty eights patients were assigned to Dexamethasone group and 30 patients to surgical group. The mean age of the patient was about 62 years in both groups with male predominance (>60%). A favorable outcome determined by mRS scale of 1 to 3 at 6 months follow-up was 25/28 (89.2%) in Dexamethasone group compared to 28/30 (93.3%) in surgical group (difference, -4.1 [95% CI, -6.8 to -2.2], p=0.12). The cure rate was 23/28 (82.1%) in Dexamethasone group compared to 28/30 (93.3%) in the surgical group during index admission (difference, -11.2, [95% CI, -14.3 to -7.6] in favor of the surgical group, p=0.005). Recurrence rate for CSDH was 2/28 (7.1%) in Dexamethasone group compared to surgical group 4/30 (13.3%) which was statistically significant (p=0.01). Morbidity related to medical therapy was not statistically higher compared to surgical group. Conclusion: Current study exhibits superiority of surgery over Dexamethasone therapy for resolution of symptomatic CSDH. The recurrence rate of CSDH is lower in patients with corticotherapy compared to surgical drain. Patients in Dexamethasone group did not have functional outcome at 6 months or morbidity significantly higher than surgical group. This study strongly puts forward the utility of Dexamethasone as an effective and safe alternative to surgery for CSDH. and prevent recurrence of subdural collection could not be ascertained by this study. Current study is a multicenter, non-randomized but controlled, prospective clinical trial to determine the efficacy, safety and functional outcome of patients with stand-alone 3 weeks tapering dose of Dexamethasone medical therapy compared to surgical drainage of CSDH. Our study aims to add further clarity to the role of corticotherapy in conjunction with Dex-CSDH study in patients with chronic subdural hematoma. subdural pneumocephalus acute intracerebral hemorrhage
The Impact of the Stratospheric Polar Vortex Shift on the Arctic Oscillation

Using the ERA-Interim reanalysis dataset for the time period 1979–2016, we analyzed the influence of the stratospheric polar vortex shift on the Arctic Oscillation (AO) in winter (December–March). The results show that a shift in the stratospheric polar vortex toward the Eurasian continent is favorable for the occurrence of the negative phase of the AO. The duration of the AO events accompanied by the stratospheric polar vortex shift toward the Eurasian continent (AO-shift events) is longer than that of the remaining negative AO events (AO-noshift events), and the intensity of AO-shift events is greater than that of AO-noshift events from day 4 to day 15 of the life cycle of the events. The enhancement in the AO intensity during AO-shift events is likely due to downward extension of the stratospheric northern annular mode (NAM) signals and more poleward-propagating planetary waves in the troposphere and lower stratosphere and their convergence in the mid-high latitudes. Furthermore, the polar vortex shift can lead to changes in the intensity of the three action centers in the AO spatial pattern at 500 hPa. In general, during AO-shift events, the three action centers are stronger than those during AO-noshift events. There is an overall westward shift of the Arctic action center during AO-shift events, which may be closely related to the changes of Greenland blocking frequency.
THE RELATIONSHIP OF WORK MOTIVATION WITH NURSE PERFORMANCE

Background: Performance is the result of work achieved by a person or group of people in an organization according to their authority and responsibilities. Good performance can be achieved by increasing work motivation. The higher a person's work motivation, the higher the performance produced. Objective : To analyze the relationship between Work Motivation and Performance in Inpatient Room Melati and Seruni Hospital Dr. M. Yunus Bengkulu. Method: This study uses survey analytic with cross sectional design. Population in this study were all nurses at Inpatient ward of Melati and Seruni, Dr. M. Yunus Bengkulu Hospital, with the amount of 43 nurses. Data analysis techniques were performed by univariate and bivariate analysis with the Spearmen Rank Test. Result: this study are based on the Spearmen Rank Test obtained significance value (sig) of 0.220 with p-value = 0.156. Conclusion: Because the value of p> 0.05, it can be concluded that there is no significant relationship between Work Motivation with Nurses Performance at Inpatient ward of Melati and Seruni, Dr. M. Yunus Bengkulu Hospital.
Revisiting the effects of banks’ size on systemic risk: the role of banking sector concentration in the European Banking Union

ABSTRACT In order to contribute to the literature on bank size as a determinant of systemic risk, this article assesses whether the banks’ size effects on banks’ systemic risk exposure in the European Banking Union could be mitigated/aggravated when the banking sector concentration is taken into account. The results indicate that the banking sector concentration lowers the banks’ size effects on banks’ systemic risk exposure in the European Banking Union. Thus, this article advocates for mergers and acquisitions between banks in the European Banking Union.