Miracle-dz/UniFAR-FTUs huggingface dataset:
OILCROP-SUN Model for Nitrogen Management of Diverse Sunflower (Helianthus annus L.) Hybrids Production under Agro-Climatic Conditions of Sargodha, Pakistan

Decision support system for agro-technology transfer (DSSAT), OIL CROP-SUN Model was used to stimulate the phenology, growth, yield of different two sunflower hybrids. i.e. Hysun-33 and S-78 by applying different nitrogen levels. The effect of nitrogen (N) on growth and yield components of different sunflower (Helianthus annuus L.) hybrids were evaluated under agro-climatic conditions of Sargodha, Pakistan during spring 2013. The experiment was laid out in a randomized complete block design with split plot arrangement having three replications, keeping cultivars in the main plots and nitrogen levels (0, 45, 90,135 and 180 kg/ha) in sub plots. OIL CROP-SUN Model showed that the model was able to simulate the growth and yield of sunflower with an average of 10.44 error% between observed and simulate achene yield (AY). The result of simulation indicates that nitrogen rate of 180 kg/ha produced highest achene yield in S-78 hybrid as compared to other treatments and Hysun-33 cultivar.
Role of subcutaneous drain in class III and class IV laparotomy wound

Background: Surgical site infections (SSI) are major problem in general surgery. Aim of this study is to know the role of subcutaneous conrrugated drain in class III and IV laparotomy wounds.Methods: Comparative study was done in 100 patients of emergency laparotomy in civil hospital, Gandhinagar from January 2014 to December 2016.Results: Incidence of surgical site infections were significantly lower (16%) in patients with subcutaneous drain, compared to 40% in patients without drain (p value 0.01). Conclusions: Corrugated subcutaneous drain is cost effective way of reducing surgical site infections and subsequent morbidities in class III and IV laparotomy wound.
Glacial lakes of Sikkim Himalaya: their dynamics, trends, and likely fate—a timeseries analysis through cloud-based geocomputing, and machine learning

Abstract In the background of ongoing climate change, it is important to monitor the spatial and temporal changes of glacial lakes (GLs) since they influence snowmelt runoff, stream discharge, water resources, and glacial lake outburst flood (GLOF). However, accurate identification and mapping of GLs in the background of snow-clad mountains through visual interpretation of satellite data is a tedious and challenging assignment when multiyear time-series analysis is considered. To overcome this challenge, automated extraction of GLs in satellite images has been carried out in this study with the help of machine learning (ML). The novelty of this study is identification and tracking of GLs over three decades using ML and geospatial analysis using pixel-based image classification. For this, Random Forest Classifier (RFC) and Artificial Neural Network (ANN) were employed. The methodology is demonstrated here for the identification and mapping of GLs in the Sikkim Himalaya from 1987 to 2020 and for forecasting the possible fate of these GLs through time-series modelling. The geospatial time-series analysis using Google Earth Engine, ML classifiers, and GIS framework, has captured the dynamics of GLs in Sikkim and has revealed the spatial and temporal patterns in GLs’ dimensions as well as GLOF risk.
Impact of Coronavirus Disease 2019 on Intravitreal Antivascular Endothelial Growth Factor Injection Rates in Nigerians

Abstract Aim: To quantify the impact of coronavirus disease 2019 (COVID-19) on the rate of intravitreal antivascular endothelial growth factor (VEGF) injections (IVI) in eye hospitals in Nigeria. Materials and Methods: A retrospective, observational, comparative study. The IVIs given 12 months before (pre-COVID) and 12 months after the first announcement of the COVID-19 lockdown (COVID) in Nigeria in four hospitals were used as the sample for this study. All eyes were treatment naïve. We determined the total number of all anti-VEGF injections, the number given for each indication, and the number of each type of the three anti-VEGFs given. A comparison of the presenting vision in IVI eyes between the two eras and the visual outcome of the IVI treatment was made. Data were analyzed using the SPSS version 22 to determine statistical significance. Results: Male/female ratio, pre-COVID 63.4%/36.6% and COVID 58.6%/41.4% (P = 0.123). Age, pre-COVID 61.3 (SD 12.9) 9–95 years and COVID 57.5 (SD 16.4) 0.15–95 years. There was a 15.3% (81 eyes) reduction in the number of eyes between pre-COVID and COVID eras (528 and 447 eyes, respectively). Likewise, the number of IVIs reduced by 26% (221 IVIs) from 850 pre-COVID to 629 COVID, P = 0.005. A comparison of the proportion of eyes in the four clinic locations between the two eras was not statistically significant (P = 0.148). The commonest indication was proliferative diabetic retinopathy in both eras, 208 versus 178 eyes (323 versus 226 IVIs). Bevacizumab, Ranibizumab, and Aflibercept were given in the following proportions 60.2%, 22.3%, and 17.4% (pre-COVID) versus 60.2%, 31.5%, and 8.3% (COVID), P = 0.000. Presenting visual acuity was >6/60 in 67.4% of eyes (pre-COVID) versus 59.4% of eyes (COVID), P = 0.039. Vision improved in 51.3% of eyes (pre-COVID) versus 47.7% (COVID); there was no significant difference in visual outcome comparing both eras, P = 0.972. Conclusion: COVID-19 significantly reduced the number of eyes and IVIs. Eyes had worse presenting visual acuity during the COVID era; however, treatment outcome was comparable between COVID and pre-COVID eras.
BANK EFFICIENCY AND GOVERNANCE: EVIDENCE FROM JOINT VENTURE AND FOREIGN COMMERCIAL BANKS IN VIETNAM

In this paper, we intend to examine the influence of national governance on the bank efficiency of joint venture and foreign commercial banks in Vietnam. Joint venture and foreign commercial banks have been instrumental in introducing new financial products to the Vietnamese market (e.g., mortgage services and medium-term certificates of deposit). At the same time, they have also penetrated the retail market through automobile and housing loans, and international credit card services. We use the DEA double bootstrap method to develop a bank network function to evaluate bank efficiency. The findings from our random-effects model demonstrate that world governance indicators as proposed by the World Bank independently determine the bank efficiency of the joint venture and foreign commercial banks in Vietnam. There are important implications to be highlighted for policymakers and stakeholders of joint venture and foreign commercial banks and other types of banks in the banking industry elsewhere around the world.
Estimating stream discharge of Aboine River Basin of Southeast Nigeria using modified Thornthwaite climatic water balance model

The study attempts to estimate the stream discharge of the Aboine river basin, southeast Nigeria, using modified climatic water balance approach. Moisture deficit in the basin generally begins from January and lasts up to April while utilization begins from October up to December. The basin attains a field capacity from August to September and decreases in moisture storage from October when more water is removed from the basin to meet plant water needs. The value of the circularity ratio of 0.29 showed that the Aboine Basin will produce little surface runoff. Results of bifurcation ratio, compactness coefficient, stream length and modeling of inter-basin parameters showed that the Aboine drainage basin is basically a flat surface. This will affect both the amount of water available from the basin for any water resources projects. Such information also provides the basis for demonstrating the effects of environmental control on the fluvial system and also for predicting the basin output variables. Surface runoff contribution to discharge was computed as a residual of our modified climatic water balance equation while groundwater flow contribution to discharge was determined from the separation of water stage hydrograph available for the study area from 1984 to 1987, using the hydrograph separation technique. Comparison of calculated discharge values using modified THWB climatic water balance with stream discharge determined from water- stage showed significant difference between computed stream discharge from water stage and discharge estimated from our water balance model at 0.05 level of confidence. This suggests that our modified water balance model if further improved maybe suitable for generating information on all the aspects of the moisture relationship in the basin in the absent of measured stream flow data. Keyword: Stream discharge, basin morphometry, surface flow, groundwater flow, water resource
Validation of the Short Physical Performance Battery via Plantar Pressure Analysis Using Commercial Smart Insoles

This cross-sectional study, conducted at a tertiary care hospital’s rehabilitation clinic, aimed to validate Short Physical Performance Battery (SPPB) results obtained through plantar pressure analysis using commercial smart insoles (SPPB-SI) and to compare these results to manually acquired results by an experienced examiner (SPPB-M). This study included 40 independent-walking inpatients and outpatients aged 50 or older. SPPB-SI and SPPB-M were administered concurrently, with the smart insoles providing plantar pressure data that were converted into time–pressure curves. Two interpreters assessed the curves, determining component completion times for the SPPB-SI scores. Among the 40 participants (mean age: 72.98, SD: 9.27), the mean total SPPB-SI score was 7.72 ± 2.50, and the mean total SPPB-M score was 7.95 ± 2.63. The time recordings and measured scores of each SPPB-SI component exhibited high reliability with inter- and intra-interpreter correlation coefficients of 0.9 and 0.8 or higher, respectively. The intraclass correlation coefficient between the total SPPB-SI and SPPB-M scores was 0.831 (p < 0.001), and that between the component scores of the two measurements ranged from 0.837 to 0.901 (p < 0.001). Consistent correlations with geriatric functional parameters were observed for both SPPB-SI and SPPB-M. This study underscores the potential of commercial smart insoles as reliable tools for conducting SPPB assessments.
Effect of probiotic on body weight gain and hematobiochemical parameters in unthrifty buffaloe calves

T he present work was performed to evaluate the effects of probiotic and mineral mixture on body performance and some hematobiochem-ical parameters in unthrifty buffaloe calves. This experiment was done in 20 at 5 months old buffaloe calves (5 healthy calves weighing 120-150 Kgm-15 unthrifty calves weighing 80-105Kgm) belonged to privet farm in Abu Hamad city - Sharkia Province. All calves were received 1ml iovmic super /50 kgm body weight for proved all calves free from parasites. Blanced ration were formed and used during the experimental period. Each calve was received 2 kgm from formed ration and 5 kgm hay daily during 1 st month of experiment and 3 kgm from formed ration and 10 kgm hay daily during 2 nd month of experiment. At one month post ivomic injection calves were divided into 4 groups (5/each). 1 st group healthy calves (-ve control), 2 nd group unthrifty calves not treated (+ve control), 3 rd group unthrifty calves received 1ml probiotic/liter drinking water for 2 months, 4 th group unthrifty calves treated by 1ml probiotic/liter drinking water and 30ml mineral mixture for each calve daily for 2 months, calves in each groups were weighted at begin of experiment and at 1 st day post treatment for estimation weight gain and feed conversion rate. At 1 st &10 th day post treatment 3 blood samples were taken from all calves for estimation hematobiochemical parameters. Our results revealed that, diseased calves show significant reduction in body weight gain, erythrocytic count, hemoglobin, packed cell volume total and differential leukocytic count, phagocytic %, killing %, serum total proteins, albumin, α, β, γ globulins, total globulins, A/G ratio, catalase and super oxide dismutase beside increase in feed conversion rate, total li-Received
Integrating multiple data sources to fit matrix population models for interacting species

Inferring interactions between populations of different species is a challenging statistical endeavour, which requires a large amount of data. There is therefore some incentive to combine all available sources of data into a single analysis to do so. In demography and single-population studies, Integrated Population Models combine population counts, capture-recapture and reproduction data to fit matrix population models. Here, we extend this approach to the community level in a stage-structured predator-prey context. We develop Integrated Community Models (ICMs), implemented in a Bayesian framework, to fit multispecies nonlinear matrix models to multiple data sources. We assessed the value of the different sources of data using simulations of ICMs under different scenarios contrasting data availability. We found that combining all data types (capture-recapture, counts, and reproduction) allows the estimation of both demographic and interaction parameters, unlike count-only data which typically generate high bias and low precision in interaction parameter estimates for short time series. Moreover, reproduction surveys informed the estimation of interactions particularly well when compared to capture-recapture programs, and have the advantage of being less costly. Overall, ICMs offer an accurate representation of stage structure in community dynamics, and foster the development of efficient observational study designs to monitor communities in the field.
Hemophilia in pediatric age

Hemophilia represents the most common inherited bleeding disorder linked to the X chromosome, which, if not properly treated, can lead to lifelong disabilities. This article presents the cases of 18 patients with hemophilia admitted between 2006-2022 to the Pediatric Oncohematology Department, Clinic II Pediatrics, Emergency County Hospital Craiova. Clinical and evolutionary aspects of the hospitalized patients are presented, including age at the time of diagnosis, heredocolateral history, symptoms at onset, clinical manifestations during the course of hospitalization, complications and prophylactic treatment.
Asymmetrical Advancing Angle Difference and its Application in Predicting Continuous Commutation Failure for LCC-HVDC Systems Under Asymmetrical Faults

Commutation failure (CF) is a frequent dynamic event at the inverter of LCC-HVDC systems caused by AC side faults, most of which are asymmetrical faults. Among different types of CF, the continuous CF (CCF) is the most severe one, which can lead to inverter blocking, interruption of active power transfer, and even system blackout. However, existing research does not consider the magnitude changes and phase shifts of all three phase commutation voltages when predicting CCFs. Therefore, this paper first proposes an indicator, Asymmetrical Advancing Angle Difference (AAAD), that considers the impact of both magnitude changes and phase angle shifts of commutation voltages on commutations under asymmetrical faults. Then by analyzing the impact of the control systems, the AAAD is used to predict CCFs under asymmetrical faults. The proposed CCF prediction approach reduces the prediction error by up to 67% compared with previous methods. A case study using the modified 4-machine-2-area LCC-HVDC system is carried out to demonstrates the accuracy of the proposed CCF prediction method.
Characterization of Traditional Tabique Constructions in Douro North Valley Region

Generally, the traditional building techniques uses natural and local building materials such as stone, woodand earth and, are associated to building procedures that requires small amount of energy consumption and release an expressive noxious gases to atmosphere. The development of green building techniques that help the building industry contributing to a much more sustainable world may be inspired on these traditional building techniques as models. Each sector of societies including ourselves should pay a bill for environmental damaging. Each construction should have as associated environmental damaging cost and the selection process of a construction design solution should also be done in a sustainable bases in which the environmental parameters should be clearly identified and quantified. The tabique is one of the main Portuguese traditional building techniques, which is based on raw materials as earth and wood. In general, a tabique wall is formed by a simple timber structure covered by an earth based material. Earth has an important role in this system because it protects the internal timber structure as well as is a finishing. The Tras-os-Montes e Alto Douro is the northeast region of Portugal and it is very rich in terms of tabique heritage construction. Meanwhile, the existing tabique constructions show a generalized advanced stage of deterioration. This aspect associated to the fact that there is still a lack of scientific studies done in this field motivated this research work, which its main objectives are to identify the building process of tabique elements and to identify/characterize the applied materials. It is intended to stimulate and to give guidance for future rehabilitation works in this field. Taking into account that this region has a large area, it was necessary to divide this work in six stages related to the six council associations, which are Alto Tâmega; Terra Quente Transmontana; Terra Fria do Nordeste Transmontano; Vale do Douro Norte; Vale do Douro Sul and Douro Superior. This work is focused on the council association of Vale do Douro Norte (Douro North Valley), and uses twelve constructions as study cases. This research work also intends to contribute for a better sustainable world by stimulating the applications of natural building materials and the reutilization of traditional building techniques which are environmental friendly.
Genetic variation of milk fatty acid composition between and within dairy cattle breeds

Abstract Maurice – Van Eijndhoven, M.H. T. (2014). Genetic variation of milk fatty acid composition between and within dairy cattle breeds. PhD thesis, Wageningen University, the Netherlands Fat is one of the main components in bovine milk and comprises a large number of individual fatty acids (FA). The composition of FA in milk varies considerably due to differences in the genetics and nutrition of cows and an increasing interest in the possibilities for modifying FA composition can be noticed nowadays. In this thesis two fields of interest were combined, namely: production of milk with specific milk fat composition and conservation of native cattle breeds. Therewith, the overall objective of this thesis was to investigate the variability of detailed milk FA composition between and within different dairy cattle breeds, including the mainstream Holstein Friesian (HF) and Jersey, and the native dual purpose breeds Meuse-Rhine-Yssel (MRY), Groningen White Headed (GWH) and Dutch Friesian (DF) in the Netherlands. For this study the accuracy of mid-infrared (MIR) spectrometry was evaluated for predicting FA composition in different breeds. Differences of milk FA composition within and between breeds were investigated using MIR and Gas Chromatography (GC) information. Finally, similarities in genomic variation associated with detailed milk fat composition between the mainstream HF breed and native dual purpose breeds were studied. Results show that MIR is an accurate method for predicting FA composition among different breeds and countries. Evaluating the FA composition in different breeds, differences were found in milk FA composition among herds using different cattle breeds in the Netherlands, based on detailed milk FA measurements using GC. Evaluating the FA composition in milk between and within breeds using a large dataset that included MIR spectra of milk from cows from a range of farms using one or more breeds, in general, only minor breed differences in FA composition were found and HF showed more genetic variation in FA composition compared to MRY. Furthermore, differences were detected between the native breeds MRY, DF and GWH in genomic variations of regions that are associated with FA composition in HF, while most variation in these main regions was clearly observed in HF. Overall, it was concluded that no large differences existed in milk FA composition among the native Dutch dual purpose breeds and the mainstream HF breed. It is suggested, however, that selecting specific FA composition differences in farms using different breeds in the Netherlands can attribute to modifying the FA composition in bovine milk production.
Using Drones to Attract K-12 Students Towards Construction: A Pilot Study of Middle School Students’ attitudes, Perceptions, and Interests

Drones continue to support the growth of the construction industry; however, activities that use drones for K-12 education are still minimal and exploratory. Particularly, no studies have explored the use of drone technologies to attract students towards construction disciplines. The contribution of this study centers on better understanding how drones can be relied upon to create interest and motivation in K-12 students by showcasing the construction domain to the next generation of the workforce. This study investigated the attitudes and interests towards construction of eleven middle school students enrolled in a Summer Youth Camp at the Michigan Technological University. During this study, a construction-centric drone education activity was designed and implemented during a 3-hour long session within a large lab space. Students completed an adapted version of the S-STEM Survey before and after participating in the activity. Although differences in the survey scores for attitudes towards STEM subjects and interests in construction careers were noticed, no significant changes were observed by the educational activity. Ultimately, this study recommends the use of drones in K-12 activities and purposes exploring how students can be attracted to the construction disciplines as future research.
U–Pb zircon age constraints for the Ordovician Fishguard Volcanic Group and further evidence for the provenance of the Stonehenge bluestones

New U–Pb zircon ages from rhyolite samples of the Fishguard Volcanic Group, SW Wales, confirm a Middle Ordovician (Darriwilian) age for the group. One of the samples is from Craig Rhos-y-felin, which has recently been identified on petrological and geochemical grounds as the source of much of the debitage (struck flakes) at Stonehenge. Analysis of a Stonehenge rhyolite fragment yields an age comparable with that of the Craig Rhos-y-felin sample. Another Stonehenge fragment, thought to come from orthostat (standing stone) 48 and on petrographical grounds to be derived from the Fishguard Volcanic Group (but not Craig Rhos-y-felin), yields an age also consistent with a Fishguard Volcanic Group source. Supplementary material: Details of analytical methods and a table of data are available at https://doi.org/10.6084/m9.figshare. c.3518175.