Miracle-dz/UniFAR-FTUs huggingface dataset:
Anaemia in pregnancy: prevalence and treatment response to various modalities: a prospective study

Background: Anaemia seen in pregnancy are largely preventable and easily treatable if detected in time, despite this, anaemia still continues to be a common cause of maternal and perinatal morbidity and mortality in India.Methods: A prospective observational study of 200 pregnant women with anaemia was carried out from Jun 2017 to December 2018 at a Tertiary care hospital with pan India population. Patients underwent clinical examination and laboratory tests to find out the severity and type of anaemia and were treated accordingly. Iron deficiency anaemia was treated with oral or intravenous iron therapy depending upon the hemoglobin concentration. Patients were followed up after 28 days of treatment and hemoglobin estimation was done to monitor the treatment response.Results: A total 36.49% pregnant women had hemoglobin less than 10 gm%. 151 out of 200 women had serum ferritin <12 ng/ml which indicates that iron deficiency anaemia is the commonest type of anaemia in pregnancy. Overall, out of 200 patients 5.5% patients were found to have hemoglobinopathies (β thalassemia trait). After 28 days of treatment mean increase in hemoglobin was 2.40 gm% and 4.24 gm% in patients receiving oral and intravenous iron therapy respectively.Conclusions: A total 36.49% pregnant women were found to have anaemia during pregnancy and iron deficiency anaemia is the commonest type of anaemia. Therefore, there is still a need for dietary counselling and health education in the community. 5.5% patients were found to have beta thalassemia trait which was detected only after conducting hemoglobin electrophoresis. Both oral and intravenous iron therapy are effective in treatment of iron deficiency anaemia but intravenous iron therapy results in a more rapid resolution of anaemia.
Cross-Scale Linkages of Centralized Electricity Generation: Geothermal Development and Investor–Community Relations in Kenya

Based on a study of Kenya’s geothermal-energy development in Baringo-Silali, we explore how and with whom government actors and local communities in rural and peripheral areas interact when planning and implementing large-scale power plants. Starting from a comparison of decentralized and centralized energy systems, we demonstrate that the development of this large-scale infrastructure project and the associated investor-community relations are governed by various cross-scale linkages. To this end, we adapt the concept of cross-scale linkages from the literature on natural-resource governance to explore actors, rules, and practices at local, regional, national, and international levels.
Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network

Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung cancer treated with radiotherapy. Early prediction of AE, indicated by esophageal wall expansion, is critical, as it can facilitate the redesign of treatment plans to reduce radiation-induced esophageal toxicity in an adaptive radiotherapy (ART) workflow. We have developed a novel machine learning framework to predict the patient-specific spatial presentation of the esophagus in the weeks following treatment, using magnetic resonance imaging (MRI)/ cone-beam CT (CBCT) scans acquired earlier in the 6 week radiotherapy course. Our algorithm captures the response patterns of the esophagus to radiation on a patch level, using a convolutional neural network. A recurrence neural network then parses the evolutionary patterns of the selected features in the time series, and produces a predicted esophagus-or-not label for each individual patch over future weeks. Finally, the esophagus is reconstructed, using all the predicted labels. The algorithm is trained and validated by means of ∼ 250 000 patches taken from MRI scans acquired weekly from a variety of patients, and tested using both weekly MRI and CBCT scans under a leave-one-patient-out scheme. In addition, our approach is externally validated using a publicly available dataset (Hugo ). Using the first three weekly scans, the algorithm can predict the condition of the esophagus over the succeeding 3 weeks with a Dice coefficient of 0.83 ± 0.04, estimate esophagus volume highly (0.98), correlated with the actual volume, using our institutional MRI/CBCT data. When evaluated using the external weekly CBCT data, the averaged Dice coefficient is 0.89 ± 0.03. Our novel algorithm may prove useful in enabling radiation oncologists to monitor and detect AE in its early stages, and could potentially play an important role in the ART decision-making process.
Physical and Chemical Characteristics of Rice Straw

This study aims to determine the physical characteristics of rice straw and highlights the presence of sugar in rice straw. The use of natural fibers as a reinforcement in construction has existed for millennia. They are mixed with clay to make building materials. This addition avoids cracks and sometimes contributes to flexural strength. Researchers have detected a high level of sugar in natural fibers. This sugar contained in the biomass is at the origin of the setting delay and the hardening of the building materials. Another not least significant defect found in natural fiber is its high water absorption potential. This hydrophilic character is due to the intrinsic porosity of the straws. This article aims to determine the physical characteristics of rice straw and highlights the presence of sugar in rice straw. First, the density and water absorption rate of the rice straw were determined. Then chemical tests were carried out to determine the rate of mineral constituents (ash), lignin, hemicellulose and finally the rate of cellulose is deduced. Like most crop straws, rice straw contains a high level of sugar. It also has a very low density compared to other building materials. It is around 450 kg/m3. Rice straw also has a high water absorption rate. The absorption rate absorption rate (At) 5 min of immersion in water, its absorption rate reaches 234%.
Do Energy Resource Curse and Heterogeneous Curse Exist in Provinces? Evidence from China

This study aims to find the relationship between energy resource dependence and economic growth in consideration of interprovincial heterogeneity. This paper first uses panel data from 14 provinces with rich energy resources in China between 2001 and 2016 as a whole to test the energy resource curse hypothesis. It finds that there is no obvious resource curse from a general perspective. It further makes time prediction and transmission channel analysis based on regressions of each province and classifies them into four groups according to the different degrees of the resource curse. It shows the different roles of resource dependencies in different groups. Twelve provinces are subject to different degrees of the resource curse, among which, six provinces would eventually experience negative economic growth if they increase the degree of resource dependence. Next, this study discusses the mechanism of one particular group, “invisible energy resource curse”, which is when energy resources directly promote but indirectly hinder economic growth. Finally, based on the results, the present study offers policy suggestions according to provinces’ heterogeneous curse levels.
How CEO Social Media Disclosure and Gender Affect Perceived CEO Attributes, Relationship Investment, and Engagement Intention

How does a chief executive officer (CEO)’s social media content disclosure on Twitter affect perceived CEO attributes, relationship investment, and public engagement, and to what extent does the CEO’s gender (male vs. female) moderate how publics evaluate content disclosures? A 2 (CEO gender: male vs. female) × 4 (level of disclosure: 100% corporate vs. 70% corporate and 30% personal vs. 30% corporate and 70% personal vs. 100% personal disclosure) between-subject experimental design was used to address these questions with a random sample of 465 adult Twitter users in the United States. Results showed that posts that featured high personal disclosure did not increase the perceived likability or competence of the CEO. Nor did CEO gender impact these outcomes. However, CEO professional disclosure proved to be an effective means to gain high levels of perceived relationship investment from publics. Finally, publics may hold implicit gender bias in cognitive (i.e., perceived relationship investment) and behavioral evaluation (i.e., engagement intention) of a female CEO.
Dissemination of CTX-M-15 ß-Lactamases Harbouring E. coli and Klebsiella Pneumonia Strains from Tertiary Care Hospital India

Introduction Extended spectrum ? -lactamases (ESBL) producing gram negative bacteria (GNB) have spread ominously worldwide particularly Escherichia coli (E. coli) and Klebsiella pneumonia (K. pneumoniae). Hospital outbreaks of multidrug resistant K. pneumoniae and E. coli are often caused by a new type of strain, the ESBL producers. The present study was undertaken to detect the prevalence of E. coli and K. pneumoniae with reference to CTX-M-15 ESBL. Methods Identification and confirmation of E. coli and K. pneumoniae were done by standard conventional methods. Antibiotic susceptibility testing was done by Kirby Bauer’s disc diffusion technique and interpretations of susceptibility were done according to the CLSI (Clinical Laboratory Standard Institute) 2008 guidelines. Genotypic characterization of CTX-M-15 were done by polymerase chain reaction. Results Total of 91 E. coli and 79 K. pneumoniae were isolated. Amongst all E. coli isolates, 47 (51.64%) isolates were ESBL producers while 8 (8.79%) were MBL producers. Maximum ESBL producers E. coli were from patients admitted in the ICU. Amongst all K. pneumonia, 64.55% strains were ESBL producers while 10.12% strains were MBL producers. 61 strains were detected as CTX-M-15 ? -lactamases producing ESBL. Of the total 61, 26 (42.62%) were E. coli and 35 (57.37%) were K. pneumonia. Conclusions This study highlights the need for monitoring the spread of this multidrug resistant clonal complex throughout the nation and provides better
Seasonal Variation in Photosynthetically Active Radiation Interception and Radiation Use Efficiency in Green Gram [Vigna radiata (L.)Wilczek] in Lower Gangetic Plain of India

Aim: The present study was conducted for identifying sowing windows and cultivars of green gram in spring – summer and rainy seasons depending on light interception pattern and photo synthetically active radiation use efficiency (PARUE) in the lower Gangetic Plains of Eastern India. Methodology: Five green gram varieties (V1, V2, V3, V4 and V5) were sown on four dates (D1, D2, D3 and D4) in the spring –summer season starting from 15 th February and on three dates (D1, D2 and D3) in the rainy season, starting from 20 th August at interval of 10 days. Cumulative intercepted PAR (CIPAR), PARUE for above ground biomass and green gram seed and the seed yield were measured. The experiments were conducted under strip –plot design. Original Research Article Basu et al.; CJAST, 39(25): 108-125, 2020; Article no.CJAST. 60279 109 Results: Results showed that CIPAR increased gradually in both the seasons under different dates of sowing. The mean PARUE for above ground biomass were 3.97, 4.58, 3.18 and 2.64 gMJ -1 for D1, D2, D3 and D4 sowings during spring – summer season. In rainy season the same was declined from 8.67 to 3.73 g MJ with the delay in sowing. Maximum seed yield was obtained under D2 and V3 in the spring –summer and under D1 and V5 in the rainy season. The mean PARUE for seed yield were 0.65 and 0.64 g MJ and 0.40 and 0.42 g MJ in the spring summer seasons of 2011 and 2012 respectively. In the rainy season the maximum PARUE were 0.91 and 0.55 g MJ -1 under D1 for two experimental years. Conclusion: Depending on PARUE Pant Mung – 5 and Mehashould be sown during 3 rd week of February and August in this zone.
Social cognitive and later language acquisition

A great number of studies suggest that children’s acquisition of mental-state language supports, or even facilitates, their understanding of others’ mental states and perspectives. However, based on previous research, it has often been difficult to determine which aspects of mental-state language support this so-called Theory of Mind understanding. Whereas some researchers have argued that it is the semantics of mental verbs, such as think and know, others have suggested that it is the subordinate structure of complement-clause constructions, such as She thinks that the sticker is in the red box. In English, these two aspects are often confounded: mental verbs are typically used in complement-clause constructions. However, more recent studies have turned to languages such as Chinese and German, which allow us to distinguish between verbal semantics and syntactic constructions and also look at their interaction. Overall, these studies suggest that both semantics and syntax can play a role in children’s Theory of Mind development. In this chapter I also present some findings that indicate that whether or not the semantics of mental verbs supports children’s Theory of Mind development depends on how exactly they are used in complement-clause constructions. Since these usage patterns differ across languages, we can also see cross-linguistic differences in the interaction between verbal semantics, syntactic patterns and Theory of Mind development.
Functional clusters analysis and research based on differential coexpression networks

ABSTRACT Differential coexpression analysis has gradually become an important approach to improve the conventional method of analysing differentially expressed genes. With this approach, it is possible to discover disease mechanisms and underlying regulatory dynamics which remain obscure in differential expression analysis. The detection of differential coexpression links and functional clusters between different disease states is a demanding task. Nevertheless, there is no gold standard for detecting differential coexpression links and functional clusters. Consequently, we developed a novel fusion algorithm FDvDe (Fusion of differential vertex and differential edge) to detect differential coexpression links by aggregating the set of ‘differential vertex’ and ‘differential edge. ’ Then, we constructed differential coexpression networks between normal and tumour states by integrating the differential coexpression links. With this approach, we identified 1823 genes and 29370 links. Then, we developed the algorithms GTHC (GO term hierarchical clusters) to identify functional modules. The distance matrix used in the hierarchical process was formed by the GO semantic similarity. Furthermore, we aggregated the densities among clusters describing the connectivity among clusters and topological property analysis to discover the hub genes and hub pathways which play an important role in disease mechanism. In this paper, we showed that our approach worked well on a data set of breast cancer samples (68 tumour samples) and normal samples (73 normal samples), and revealed the crucial role and biological significance of the modules and hub genes found in this approach.
The factors affect financial performance of companies listed on Hanoi stock exchange

Profit maximization is an important goal of any business entities, lead to big concern about how to improve financial performance so as to run businesses in a stability and sustainability. Furthermore, in measuring financial performance, several profitability indicators are widely in use as return on assets (ROA), return on equity (ROE). We did conduct literature reviews and conclude: evaluating the impact of factors on entity financial performance is such an essential topic which has drawn the attention of researchers all over the world and yet Vietnam. However, many studies gave dissimilar results, which indicates there might be differences in nature of the relationship, or factors affiliation in enterprises of different sectors or different countries. This study aims to determine the effect of factors on the financial performance of companies listed on the Hanoi Stock Exchange (HNX) from 2013-2017. The factors include corporate income tax, firms’size, growth of the firm, age of the firm and liquidity. The study used panel data methodology, the FEM model was found to be consistent with data. In this study, variables of return on assets (ROA) used to measure the financial performance of companies. The research revealed that corporate income tax, firms’size and growth of the firm show a significant negative relationship with financial performance. On the other hand, there is a significant positive relationship between liquidity and financial performance. But, the relationship between ROA with the firm age is not significant. Firms’ size and corporate income tax have the greatest influence on financial of companies. The findings of the study will improve the financial performance of companies listed on the HNX.
A hybrid ensemble adjustment Kalman filter based high‐resolution data assimilation system for the Red Sea: Implementation and evaluation

A new Hybrid ensemble data assimilation system is implemented with a Massachusetts Institute of Technology general circulation model (MITgcm) of the Red Sea. The system is based on the Data Assimilation Research Testbed (DART) and combines a time‐varying ensemble generated by the Ensemble Adjustment Kalman Filter (EAKF) with a pre‐selected quasi‐static (monthly varying) ensemble as used in an Ensemble Optimal Interpolation (EnOI) scheme. The goal is to develop an efficient system that enhances the state estimate and model forecasting skill in the Red Sea with reduced computational load compared to the EAKF. Observations of satellite sea‐surface temperature (SST), altimeter sea‐surface height (SSH), and in situ temperature and salinity profiles are assimilated to evaluate the new system. The performance of the Hybrid scheme (hereafter Hybrid‐EAKF) is assessed with respect to the EnOI and the EAKF results. The comparisons are based on the daily averaged forecasts against satellite SST and SSH measurements and independent in situ temperature and salinity profiles. Hybrid‐EAKF yields significant improvements in terms of ocean state estimates compared to both EnOI and EAKF, in particular mitigating for dynamical imbalances that affect EnOI. Hybrid‐EAKF improves the estimation of SST and SSH root‐mean‐square differences by up to 20% compared to EAKF. High‐resolution mesoscale eddy features, which dominate the Red Sea circulation, are further better represented in Hybrid‐EAKF. Important reduction, by about 75%, in computational cost is also achieved with the Hybrid‐EAKF system compared to the EAKF. These significant improvements were obtained with the Hybrid‐EAKF after accounting for uncertainties in the atmospheric forcing and internal model physics in the time‐varying ensemble.
Patterns of spatial variability between contrasting substrata: a boulder-field study

Boulder-fields are complex habitats in which many species coexist and are important contributors to coastal biodiversity. These habitats experience important natural disturbances to action, which anthropogenic stressors, as hand-fishing and urban sprawl, can be added. their particularity and vulnerability, there have been few attempts to disentangle the processes that actually structure boulder-field communities at different scales. structure at along would produce variability bedrock that contrasting patterns of variability will emerge increasing scales as processes operating
Incorporating project-based language learning into distance learning: Creating a homepage during computer-mediated learning sessions

This quasi-experimental study reports on the outcomes of a video-synchronous learning program in which an element of project-based foreign language learning was integrated. The project chosen was to cooperatively create a homepage. American students learning Japanese in the United States and Japanese students learning English in Japan made pairs and communicated in both their native and target languages via Skype to complete the project. The goals of this educational program were to increase intrinsic motivation in learners and improve their target language oral abilities, and identify challenges and problems with implementation. The program was conducted during the spring semester in 2017 and evaluated both quantitatively (via pre- and posttests) and qualitatively (via surveys and reflection papers). The results show that both groups of students had improved their mean length of utterance in their target language, a strong indicator of increased speaking ability. Furthermore, qualitative analysis showed their motivation levels increased as compared to previous similar programs. Although the majority of the students were interested in creating a homepage, there were some technical problems with the homepage creation software.
Two New Records for Spider Mite Fauna of Turkey, Tetranychus kanzawai Kishida and Eotetranychus rubiphilus Reck (Trombidiformes: Tetranychidae)

Two new spider mites, Tetranychus kanzawai Kishida and Eotetranychus rubiphilus Reck (Trombidiformes: Tetranychidae) were recorded for Turkish phytophagous mite fauna. While E. rubiphilus was obtained from Prunus domestica L. and Prunus cerasus L. (Rosaceae), T. kanzawai was found only on P. domestica in different municipalities of Ordu province, Turkey.
First study on lipid dynamics during the female reproductive cycle of Polybetes pythagoricus (Araneae: Sparassidae)

Spiders are valuable to humans, not only for their role in health but also as biologic pest controllers. In oviparous species, lipids are the main energy source for embryo development and the growth and survival of larvae. Using the spider Polybetes pythagoricus (Holmberg, 1875) as an experimental model, we studied the fluctuations in lipids and fatty acids occurring in tissues related to vitellogenesis. Different reproductive stages (previtellogenesis, early vitellogenesis, vitellogenesis, and postvitellogenesis) were determined histologically. Gonadosomatic and hepatosomatic indices were first used in spiders. The midgut diverticula proved to be the organ with the highest lipid concentration, with triacylglycerols as the major component. Phospholipids were the principal lipids transported. In vitellogenesis, a major accumulation of lipids occurred in the ovary, principally phosphatidylethanolamine (41%); it probably synthesized in the midgut diverticula before being released into the hemolymph for transport and accumulation in the ovary. Phosphatidylethanolamine is possibly involved in maintaining membrane fluidity and in the function of the electron transport chain. The principal fatty acids in the different organs were palmitic, stearic, oleic, and linoleic acids. During vitellogenesis, the ovaries become enriched in polyunsaturated fatty acids. The lipid patterns in the male midgut diverticula, muscle, and hemolymph were similar to those of the previtellogenic or postvitellogenic females.