Miracle-dz/UniFAR-FTUs huggingface dataset:
Relations between near-term white matter tract microstructure, medical complications, and 2-year language outcomes after preterm birth

Aim: To determine associations between 2-year language outcomes and near-term equivalent age diffusion MRI (dMRI) white matter tract metrics in a cohort of preterm children. Method: 32 children, gestational age 28.9 (2.4) weeks, underwent dMRI at mean post-menstrual-age 36.4 (1.4) weeks and language assessment with the Bayley Scales of Infant Development - III at 18-24 months. Mean fractional anisotropy (FA) was calculated for 6 white matter tracts. Hierarchical linear regression assessed associations between tract FA, moderating variables, and language. Results: Language outcomes correlated positively with FA of the left inferior longitudinal fasciculus (ILF-L) (r = 0.44, p < 0.05), and negatively with FA of the posterior corpus callosum (r = -0.41, p < 0.05). Language-brain associations in the ILF-L were independent of the number of neonatal medical complications. Number of neonatal medical complications moderated the relationship between language and posterior corpus callosum FA. Interpretation: The findings suggest that microstructural properties of white matter tracts in the newborn period are associated with language outcomes in the toddler years. The direction of associations varied by fiber group and may relate to the stage of brain maturation and/or the nature and timing of medical complications related to preterm birth.
A Biochemical Study for Evaluation and Analysis of Serum Protein of Patients with Different Kidney Tumors

The amount of protein in the serum depends on the balance between the rate of its synthesis, and that of its catabolism or loss. Abnormal metabolism may result from nutritional deficiency, enzyme deficiency, abnormal secretion of hormones, or the actions of drugs and toxins. Renal cancer is the third most common malignancy of the genitourinary system, and accounts for 3% of adult malignancies globally. Total serum proteins were measured in malignant kidney tumor, benign kidney tumors, and non tumoral kidney diseases patient groups, as well as in healthy individuals. A significant decrease (p< 0.001) of total serum protein levels in patients with malignant kidney tumors when compared with those of benign tumors, non tumoral diseases, and healthy individuals. The lowest serum protein levels were found in patients with stage IV, regardless their genders. Analysis of total serum proteins using PAGE revealed clear differences in the number and shape of the bands in patients with different kidney diseases compared with healthy controls.
E148Q as A Familial Mediterranean Fever-Causing Mutation: A Clinical-Based Study

Objective: to evaluate the clinical implications of E148Q mutation in familial Mediterranean fever (FMF) patients and compare it with other FMF causing mutations. Methods: The clinical features of 137 FMF patients with E148Q have been evaluated. Moreover, the clinical features of those patients have been compared with the clinical symptoms of FMF patients with other mutations. Results: The clinical features of FMF in the patients with E148Q in this study are not different from those we previously reported in FMF patients with different MEFV mutations. However, there is a clear difference in terms of severity between the E148Q patients and those with other mutations. The data from this study show that E148Q causes mild symptoms of FMF while other MEFV mutations are associated with the severe form of FMF. There were no significant statistical differences between patients with homozygote E148Q mutation, compound heterozygote or heterozygote. Conclusion: this study showed that E148Q variant is associated with FMF. Patients who are heterozygous or homozygous for E148Q should not be ignored and should be followed-up and treated liked other FMF patients. The main aim of this study was to evaluate the clinical implications of E148Q mutation in FMF patients and compare it with other FMF-causing mutations.
Positive Correlation of Thyroid Gland Volume with Isthmus Dimensions and with Anthropometric Parameters through a Cross Sectional Study on Karachi Population

Objective: Diverse variation in normal thyroid gland volume (TGV) among populations is mainly due to age, gender, anthropometric parameters and genetic factors. This study was carried out to determine the correlation between TGV with isthmus dimensions and with anthropometric parameters in a subset of Karachi population. Place of the Study: It was a cross-sectional study. Place and Duration of Study: Department of Radiology Ziauddin University Hospital Clifton Original Research Article Kamran et al.; BJMMR, 18(6): 1-8, 2016; Article no.BJMMR. 29710 2 Karachi, between April 2013 to March 2014. Methodology: TGV of 208 euthyroid subjects was evaluated by 2 dimensional ultrasonography. Serum TSH was the screening test used to recruit euthyroid subjects for the study. Non parametric tests were applied to determine the correlation of TGV with anthropometric parameters and with isthmus dimensions. Results: TGV was significantly and positively correlated with, height, weight, body surface area (BSA) and lean body mass (LBM) but not with body mass index (BMI). Similarly, significant and positive correlation was observed between TGV and Isthmus transverse dimension but not with isthmus antero-posterior (A-P dimension. Conclusion: Among all the studied anthropometric parameters diverse variation in TGV are mainly due to variation in height, weight, BSA and LBM. LBM was found to be the most crucial determinant influencing TGV in this studied population. TGV has also correlated significantly and positively with isthmus transverse dimension.
Analyzing Students’ Error in Problem Solving of Two-Variable Linear Equation System: A Case Study of Grade Eight Students of Indonesian Junior High School

This research aims at describing errors as well as knowing the factors causing students to make an error in solving problems in the material of the Two-Variable Linear Equation System (SPLDV). This research involved 31 students from grade eight students of Indonesian junior high school. To collect the data, tests, observation, and interview methods were used . The data validity w as triangulation in which it required a co mpar ison of dat a with interviews. The technique of data analysis was in three stages , starting from data reduction, data presentation, and conclu sion . The analytical framework was developed based on the Newman error category. The results obtained are three types of errors, namely error understanding problems, transformation errors, and process skills errors. Factors causing these errors, in general, are students who find difficulties to acknowledge the meaning of the questions, students have a low level of understanding and creativity in identifying problems into mathematical models, and students' carelessness in process skills. https://doi.org/10.26803/ijlter.18. 11.1 7
Improving aerosol activation in the double-moment Unified Model with CLARIFY measurements

Abstract. Representing the number and mass of cloud and aerosol particles independently in a climate, weather prediction or air quality model is important in order to simulate aerosol direct and indirect effects on radiation balance. Here we introduce the first configuration of the UK Met Office Unified Model in which both cloud and aerosol particles have double-moment representations with prognostic number and mass. The GLOMAP aerosol microphysics scheme, already used in the HadGEM3 climate configuration, is coupled to the CASIM cloud microphysics scheme. We demonstrate the performance of the new configuration in cloud-resolving simulations of a case study defined from the CLARIFY aircraft campaign in 2017 near Ascension Island in the tropical south Atlantic. We improve the physical basis of the activation scheme by representing the effect of existing cloud droplets on the activation of new aerosol, and we also attempt to account for the effect of unresolved vertical velocities. The first of these improvements should be applicable to the representation of aerosol activation in other microphysics schemes. While these changes lead only to a modest improvement in model performance, they reinforce our confidence in the ability of the model to simulate aerosol-cloud microphysical interactions. Capturing these interactions accurately is critical to simulating aerosol effects on climate.
Risk practices and immunization against hepatitis B among female sex workers

Objetivo: identificar o uso da vacina contra hepatite B e praticas de risco entre mulheres profissionais do sexo. Metodos: pesquisa transversal, utilizando-se a metodologia Respondent Driven Sampling. Foram estudadas 153 profissionais do sexo. Resultados: as praticas de risco foram relacionadas ao inicio precoce de atividades sexuais, multiplas parceiros com ate 17 clientes por semana 34(22,2%), sem uso do preservativo 9(5,9%), 124(81,0%) compartilhavam objetos cortantes e 53(34,6%) nao reportaram vacina contra hepatite B. Conclusao: as profissionais do sexo encontravam-se expostas a varias situacoes de risco ao virus da hepatite B, em funcao da falta de esquema vacinal, precocidade sexual, multiplos parceiros sexuais sem uso de preservativo, compartilhamento de objetos cortantes. Urge investir na promocao da saude, com orientacao sobre a importância da realizacao da vacina, adocao de medidas protetivas e ampliacao do acesso das profissionais do sexo as unidades de saude.
Faster Single Model Vigilance Detection Based on Deep Learning

Various reports have shown that the rate of road traffic accidents has increased due to reduced driver vigilance. Therefore, an accurate estimation of the driver’s alertness status plays an important part. To estimate vigilance, we adopt a novel strategy that is a deep autoencoder with subnetwork nodes (DAESN). The proposed network model is designed not only for sparse representation but also for dimension reduction. Some hidden layers are not calculated by randomly acquired, but by replacement technologies. Unlike the traditional electrooculogram (EOG) signals, the forehead EOG (EOGF) signals are collected through forehead electrodes that do not have to surround the eyes, which has a convenient and effective practical application. The root-mean-square error (RMSE) and correlation coefficient (COR) while separately using three EOGF features improved to 0.11/0.79, 0.10/0.83, and 0.11/0.80, respectively. Implemented in an experimental environment, percentage of eye closure over time is calculated in real time through SMI eye-tracking-glasses, up to 120 frames/s. In addition, the time to extract features from the raw signal and display the prediction is only 34 ms, that is the level of the driver’s fatigue can be detected quickly. The experimental study shows that the proposed model for vigilance analysis has better robustness and learning capability.
W-Band FMCW MIMO Radar System for High-Resolution Multimode Imaging With Time- and Frequency-Division Multiplexing

A W-band multiple-input multiple-output (MIMO) radar imaging system has been proposed. The $4 \times 4$ radar system that forms a 2-D virtual array operates at a center frequency of 94 GHz and bandwidth of 1 GHz with frequency-modulated continuous wave. A hybrid scheme comprising time- and frequency-division multiplexing is introduced for establishing orthogonal waveforms, where the transmit channels perform alternate transmission in pairs. The proposed scheme can efficiently extend the number of MIMO channels utilizing the existing hardware with simultaneous transmission. The design, implementation, measurements, and imaging results of the proposed radar system have been presented. The imaging performance was tested through outdoor experiments. The high-resolution performance was shown with images generated using a synthetic aperture radar. The impulse responses of all channels were measured, and the resolution was confirmed to be 0.15 m in all the channels. In addition, a human and a car at 100-m range were imaged using the proposed radar system. The polarimetric and interferometric capabilities were tested for multimode imaging with the MIMO configuration. Overall, the measurements and experimental results verified the feasibility of the proposed MIMO radar with hybrid scheme as a high-resolution multimode imaging system.
Macro- and microhabitat preferences of eastern Hermann’s tortoise (Testudo hermanni boettgeri)

Macro- and microhabitat preference of Testudo hermanni boettgeri, the eastern subspecies of Hermann’s tortoise, was investigated utilizing modified methodology for the western subspecies which emphasized the importance of habitat heterogeneity preservation. The study objective was to explore the habitat preferences of the eastern subspecies of T. hermanni. Research was conducted within the same year at four localities in Eastern and Southeastern Serbia. Macrohabitat determination was conducted using a 0 to 5 land cover score system (coverage with herbaceous, bushy or tree vegetation) for 4 m2 tortoise encounter surroundings. Microhabitat analysis was carried out by determining the plant species in closest contact with the tortoise in the moment of recording. Plants were classified into six groups: 1) aromatic, 2) bramble, 3) herbaceous, 4) thorny shrub, 5) tree and 6) non-thorny shrubs. test was used for comparison between expected and empirical habitat preference. Results confirmed that the most attractive macrohabitats for Eastern Hermann’s tortoises in this part of the Balkans are meadows and open shrublands, with the addition of dense forest (important in wormer months), what is concordant with earlier data from the Mediterranean part of former Yugoslavia. The most attractive microhabitats were “herbaceous plants”, followed by “bramble”.
Imaging Politics and Professional Culture in Managing Islamic University Libraries in Indonesia

The concept of imaging politics and professional culture are two approaches that influence and control each other in managing library performance. This research is conducted by initially looking at imaging politics that operates on aspects of academic qualifications, library accessibility, and institutional governance among three libraries. These institutional images are analyzed through three patterns of imaging politics, i.e. mirror of reality, map of reality, and simulacrum of reality, albeit this last pattern is not found. The second analysis is based on professional culture that functions as a ballacing system. Professional culture in library management shows itself as a referential standard for the performance and practices at the libraries. Both analyses are based on information sources in the form of interviews of informants, which are supported by library documents in digital formats and direct observation during interviews and a number of other visits at the study sites. Then, the third analysis focuses on relations between imaging politics and professional culture at the libraries through theoretical frameworks and other related concepts. In the process of analysis there is implicitly found different ideological orientations at the three libraries. Unfortunately, this research is not designed for this purpose, so it is interesting if there is another further research that works for the phenomena within the framework of imaging politics and professional culture at libraries.
Novel plant–microbe interactions: Rapid evolution of a legume–rhizobium mutualism in restored prairies

When plants colonize new habitats, the novel interactions they form with new mutualists or enemies can immediately affect plant performance. These novel interactions also may provoke rapid evolutionary responses and can be ideal scenarios for investigating how species interactions influence plant evolution. To explore how mutualists influence the evolution of colonizing plant populations, we capitalized on an experiment in which two former agricultural fields were seeded with identical prairie seed mixes in 2010. Six years later, we compared how populations of the legume Chamaecrista fasciculata from these sites and their original (shared) source population responded to nitrogen‐fixing rhizobia from the restoration sites in a greenhouse reciprocal cross‐inoculation experiment. We found that the two populations differed both from their original source population and from each other in the benefits they derive from rhizobia, and that one population has evolved reduced allocation to rhizobia (i.e. forms fewer rhizobium‐housing nodules). Synthesis. Our results suggest that these plant populations have evolved different ways of interacting with rhizobia, potentially in response to differences in rhizobium quality between sites. Our study illustrates how microbial mutualists may shape plant evolution in new environments and highlights how variation in microbial mutualists potentially may select for different evolutionary strategies in plant hosts.
Polyamine metabolism regulates the T cell epigenome through hypusination

We report here a central role for polyamines in T cell differentiation and function. Deficiency in ornithine decarboxylase (ODC), a critical enzyme for polyamine synthesis, resulted in a profound failure of CD4+ T cells to adopt correct subset specification, underscored by ectopic expression of multiple cytokines and lineage-defining transcription factors across TH1, TH2, TH17, and Treg polarizing conditions, and enhanced colitogenic potential. T cells deficient in deoxyhypusine synthase (DHPS) or deoxyhypusine hydroxylase (DOHH), which sequentially utilize polyamines to generate hypusine, phenocopied Odc-deficient T cells, and mice in which T cells lacked Dhps or Dohh developed colitis. Polyamine-hypusine pathway enzyme deficiency caused widespread chromatin and transcriptional dysregulation accompanied by alterations in histone methylation, histone acetylation, and TCA cycle metabolites. Epigenetic modulation by 2-hydroxyglutarate, or histone acetyltransferase inhibition, restored CD4+ T cell subset specification. Thus, polyamine synthesis via hypusine is critical for maintaining the epigenome to focus TH cell subset fidelity.
Network Embedding With Completely-Imbalanced Labels

Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research. Semi-supervised network embedding takes advantage of labeled data, and has shown promising performance. However, existing semi-supervised methods would get unappealing results in the completely-imbalanced label setting where some classes have no labeled nodes at all. To alleviate this, we propose two novel semi-supervised network embedding methods. The first one is a shallow method named RSDNE. Specifically, to benefit from the completely-imbalanced labels, RSDNE guarantees both intra-class similarity and inter-class dissimilarity in an approximate way. The other method is RECT which is a new class of graph neural networks. Different from RSDNE, to benefit from the completely-imbalanced labels, RECT explores the class-semantic knowledge. This enables RECT to handle networks with node features and multi-label setting. Experimental results on several real-world datasets demonstrate the superiority of the proposed methods.
Best Quality Tomato Selection by Supply Chain Strategy for Renewable Energy

World agriculture still faces challenges quite fundamental, it is about the quality issues and the increasing of competitiveness through productivity and the eficiency. This research focused on the criteria of best tomato types and how to apply the Simple Additive weighting method (SAW) into a Decision Support System (DSS) for election best quality tomato that can assist farmers in determining the best type of tomato for renewable energy and supply chain strategy, based on the criteria that have been chosen, such as: tomato size, tomato color, tomato shape and tomato disease. By using the application of Simple Additive weighting method into Decision Support Systems value, it can be concluded that V 5 is the best quality tomato and has a predicate value of 83.75 with the fragile values, as follows: 50-69 = Enough, 70-82 = Good, 83-100 = Best.
Investment priorities and investment potential of various infrastructure facilities of the city

The article discusses the investment strategies of university students in relation to the infrastructure of the city, the characteristics of which were evaluated from the point of view of respondents as suitable / not suitable in order to plan their own life in this city. It was proposed to evaluate the investment priorities and investment potential of various infrastructure facilities of the city and aspects of its life. Quantitative and qualitative research was carried out in relation to the investment priorities of the objects: transport infrastructure, urban amenities, urban recreation areas, cultural, art and patriotism development objects, sports facilities and leisure facilities on the example of St. Petersburg. As part of the study, students were also asked to assess the potential willingness to invest in the future as owners or managers of enterprises. The article analyses the significance of a number of urban projects for environmental planning for the development of the territory, including the elements of the Lakhta Center public space in St. Petersburg.
Congruence between fine-scale genetic breaks and dispersal potential in an estuarine seaweed across multiple transition zones

Genetic structure in biogeographical transition zones can be shaped by several factors including limited dispersal across barriers, admixture following secondary contact, differential selection, and mating incompatibility. A striking example is found in Northwest France and Northwest Spain, where the estuarine seaweed Fucus ceranoides L. exhibits sharp, regional genetic clustering. This pattern has been related to historical population fragmentation and divergence into distinct glacial refugia, followed by post-glacial expansion and secondary contact. The contemporary persistence of sharp ancient genetic breaks between nearby estuaries has been attributed to prior colonization effects (density barriers) but the effect of oceanographic barriers has not been tested. Here, through a combination of mesoscale sampling (15 consecutive populations) and population genetic data (mtIGS) in NW France, we define regional genetic disjunctions similar to those described in NW Iberia. Most importantly, using high resolution dispersal simulations for Brittany and Iberian populations, we provide evidence for a central role of contemporary hydrodynamics in maintaining genetic breaks across these two major biogeographic transition zones. Our findings further show the importance of a comprehensive understanding of oceanographic regimes in hydrodynamically complex coastal regions to explain the maintenance of sharp genetic breaks along continuously populated coastlines.