Miracle-dz/UniFAR-FTUs huggingface dataset:
CHINESE CABBAGE BrMYB34.2 TRANSCRIPTION FACTOR REGULATES INDOLIC GLUCOSINOLATES BIOSYNTHESIS IN Arabidopsis

Glucosinolates (GS) are a group of sulfurand nitrogen-rich plant secondary metabolites that originate from amino acids and exist mainly in plants in the order Brassicales, such as Arabidopsis thaliana (Arabidopsis) and Chinese cabbage (Brassica rapa ssp. pekinensis). To date, several regulatory components responsible for GS biosynthesis have been identified in Arabidopsis. However, the functions of GS biosynthesis regulators in Chinese cabbage have not been clarified. In our current study, a putative ATR1/MYB34 orthologous gene, BrMYB34.2, was isolated from Chinese cabbage leaves. To investigate the function of this gene, we engineered Arabidopsis plants that overexpress BrMYB34.2 ectopically and phenotypic analysis was performed. Moreover, we assayed the accumulation levels of indolic GS (IGS) and aliphatic glucosinolates in transgenic plants and test the expression of key genes of IGS biosynthesis and tryptophan synthesis by Real-time quantitative PCR. And further analysed the resistance of transgenic plants in 5MT stress treatment. The results indicate that ectopic expression of the BrMYB34.2 gene in Arabidopsis was able to up-regulate the accumulation level of IGS due to the increased expression of IGS and Trp biosynthetic genes. Moreover, overexpression of BrMYB34.2 conferred Arabidopsis 5MT resistance. These results suggest that the BrMYB34.2 gene may function as one of the regulators of IGS and Trp biosynthesis in Chinese cabbage.
Session based cooperation in cognitive radio networks: network level approach

The cognitive radio prototype performance is to alleviate the scarcity of spectral resources for wireless communication through intelligent sensing and quick resource allocation techniques. Secondary users (SU’s) actively obtain the spectrum access opportunity by supporting primary users (PU’s) in cognitive radio networks (CRNs). In present generation, spectrum access is endowed through cooperative communication based link-level frame-based cooperative (LLC) principle. In this SUs independently act as conveyors for PUs to achieve spectrum access opportunities. Unfortunately, this LLC approach cannot fully exploit spectrum access opportunities to enhance the throughput of CRNs and fails to motivate PUs to join the spectrum sharing processes. Therefore to overcome this con, network level cooperative (NLC) principle was used, where SUs are integrated mutually to collaborate with PUs session by session, instead of frame based cooperation for spectrum access opportunities. NLC approach has justified the challenges facing in LLC approach. In this paper we make a survey of some models that have been proposed to tackle the problem of LLC. We show the relevant aspects of each model, in order to characterize the parameters that we should take in account to achieve a spectrum access opportunity.
Studying the Use of Java Logging Utilities in the Wild

Software logging is widely used in practice. Logs have been used for a variety of purposes like debugging, monitoring, security compliance, and business analytics. Instead of directly invoking the standard output functions, developers usually prefer to use logging utilities (LUs) (e.g., SLF4J), which provide additional functionalities like thread-safety and verbosity level support, to instrument their source code. Many of the previous research works on software logging are focused on the log printing code. There are very few works studying the use of LUs, although new LUs are constantly being introduced by companies and researchers. In this paper, we conducted a large-scale empirical study on the use of Java LUs in the wild. We analyzed the use of 3,856 LUs from 11, 194 projects in GitHub and found that many projects have complex usage patterns for LUs. For example, 75.8% of the large-sized projects have implemented their own LUs in their projects. More than 50% of these projects use at least three LUs. We conducted further qualitative studies to better understand and characterize the complex use of LUs. Our findings show that different LUs are used for a variety of reasons (e.g., internationalization of the log messages). Some projects develop their own LUs to satisfy project-specific logging needs (e.g., defining the logging format). Multiple uses of LUs in one project are pretty common for large and very large-sized projects mainly for context like enabling and configuring the logging behavior for the imported packages. Interviewing with 13 industrial developers showed that our findings are also generally true for industrial projects and are considered as very helpful for them to better configure and manage the logging behavior for their projects. The findings and the implications presented in this paper will be useful for developers and researchers who are interested in developing and maintaining LUs.
Benchmarking Deep Nets MRI Reconstruction Models on the Fastmri Publicly Available Dataset

The MRI reconstruction field lacked a proper data set that allowed for reproducible results on real raw data (i.e. complex-valued), especially when it comes to deep learning (DL) methods as this kind of approaches require much more data than classical Compressed Sensing (CS) reconstruction. This lack is now filled by the fastMRI data set, and it is needed to evaluate recent DL models on this benchmark. Besides, these networks are written in different frameworks and repositories (if publicly available), it is therefore needed to have a common tool, publicly available, allowing a reproducible benchmark of the different methods and ease of building new models. We provide such a tool that allows the benchmark of different reconstruction deep learning models.
Wound healing and anti inflammatory effects of propolis in critical size defect of rat buccal mucosa (Histochemical and Immuno histochemical study)

Objectives: the aim of this study is to evaluate the healing and anti-inflammatory effects of propolis in critical wound defects in rats ‘ buccal mucosa. Subjects& methods: 20 adult male albino rats of average weight 150-250 grams were used. Rats were divided into 2 groups Group I: consists of 10 rats, which were subdivided into 2 sub groups Sub Group I A: consists of 5 rats, the wounds were left un treated for 3 days Sub Group I B: consists of 5 rats, the wounds were left un treated for 7 days Group II: Consists of 10 rats which were subdivided into 2 sub groups Sub Group II A: consists of 5 rats, the wounds were treated with propolis for 3 days Sub Group II B: consists of 5 rats, the wounds were treated with propolis for 7 days The wounds were examined histologically, histochemically and immunohistochemically Results: Histologiacally, histochemical and immunohistochemical results showed that the healing process was faster in propolis treated rats due to anti inflammatory and anti oxidant effects of Propolis. Immunohistochemical labeling of vimentin in propolis treated groups was higher than un treated groups Conclusion: Propolis could improve wound healing by stimulating the proliferation of epithelial cells; and fibroblast proliferation, thus improving wound closure and decreasing inflammation (as prolonged inflammation and the release of inflammatory cytokines could cause tissue damage)
Solid state synthesis of MgAl2O4 nanomaterials and solar

* Corresponding Author Email: msalehi@semnan.ac. ir How to cite this article Parvarinezhad S, Salehi M, Kademinia S. Solid state synthesis of MgAl2O4 nanomaterials and solar light-induced photocatalytic removal of Malachite green. Int. J. Nano Dimens. , 2019; 10 (1): 89-104. Abstract Spinel MgAl2O4 nanopowders were synthesized by one-step solid state reactions using Al(NO3)3.9H2O and MgSO4 raw materials at stoichiometric 1 : 2, Mg : Al molar ratio at a constant reaction temperature of 1000oC for 8 h (S1), 10 h (S2) and 24 h (S3). The synthesized materials were characterized by powder X-ray diffraction (PXRD) technique. Structural analyses were performed by FullProf program making use of profile matching with constant scale factors. The results showed that the patterns had a cubic MgAl2O4 structure similar to the space group. Through textural analysis BJH (Barrette Joiner Halenda) and BET (Brunauer Emmett Teller) methods, the obtained materials were evaluated in terms of average pore size, specific surface area and average pore volume . The morphology of the obtained materials was studied by FESEM images. Ultraviolet– visible (UV-vis) spectra showed that the nanostructured MgAl2O4 powders possessed strong light absorption properties in the ultraviolet-visible region. Direct optical band gap energies were calculated as 3.4, 2.9 and 3.1 eV for S1, S2 and S3, respectively. The photocatalytic performance of the synthesized nanomaterials was investigated for the degradation of pollutant Malachite Green (MG) in aqueous solutions under solar light. Optimum conditions (0.2 mL H2O2, 25 mg catalyst and 40 min catalytic reaction time for the removal of 80 mL of 100 ppm MG solution) were modeled and achieved by the design expert software for S1. The degradation yield in the condition was 100 % for S1.
On the Influence of Diffusion Stabilization in Oldroyd-B Fluid Flow Simulations

This work presents some numerical tests of finite element solution of incompressible Oldroyd-B fluid flows. The effect of numerical stabilization using artificial stress diffusion is investigated in detail. The limits of Weissenberg number We for which is possible to obtain the numerical solution were studied depending on the Reynolds number Re and the diffusion parameter. Series of numerical tests was performed for steady two-dimensional Oldroyd-B fluid flow in corrugated channel (tube). The numerical results clearly proved the advantage (higher attainable We) of stabilized numerical method over the classical formulation without the artificial stress diffusion.
Computer Vision for Political Science Research: A Study of Online Protest Images ∗

Social scientists have long argued that images play a crucial role in politics. This role is heightened by the bombardment of images that people experience today. Digitization has both increased the presence of images in daily life and made it easier for scholars to access and collect large quantities of pictures and videos. However, using images as data for social science inference is an arduous task. Political scientists have therefore often turned to other data sources and puzzles, leaving substantive theoretical questions unanswered. Fortunately, recent innovations in computer vision can reduce the costs of using images as data. The goals of this project are twofold. First, we build on existing computer vision methods to present a set of automatic techniques that will aid political scientists working with images. We highlight the potential of Convolutional Neural Nets for automatic object recognition, face detection, and visual sentiment analysis. Second, we apply these techniques to a novel dataset of Black Lives Matter Twitter protest images, demonstrating the ability of computer vision methods to replicate gold standard manual image labels.
Preliminary study of bovine colostrum quality in Latvia

Bovine colostrum is a mammary gland secret which, due to its high immunoglobulin concentration, is necessary for the transfer of passive immunity to the calf, preventing diseases caused by microbial infections in the newborn ruminants. Colostrum, however, may contain pathogens and can be an infection transmitter, affecting morbidity and mortality rates of calves in the farms. Total plate count and immunoglobulin concentration are two main factors affecting colostrum quality, therefore the aim of the study was to analyse Latvian dairy herd colostrum quality. Colostrum was collected from Holstein Black cows within the first six hours after calving, lactation period of animals ranged from 1st to 4th lactation. Colostrum samples (n=51, 50 mL) were collected from December 2018 to February 2019. Immunoglobulin concentration (n=51) was defined by colostrometer (COLOSTROMETERtm Biogenics, USA), total solids content by optical refractometer (Model BX, UK). Staphylococcus spp. colony–forming unit (CFU) (LVS EN ISO 6888-1+A1:2007), the presence of Listeria spp. (LVS EN ISO 11290-1+A1:2007) and Salmonella spp. (LVS EN ISO 6579-1:2017) were examined in the colostrum samples (n=20). Despite the high immunoglobulin concentration in the analysed samples, our research findings demonstrate suboptimal colostrum quality received by calves. That indicates the necessity for regular colostrum quality control and better management practise providing on the farm.
COL4A1 and COL4A2 Mutations Analyses with Perinatal Arterial ?schemic Stroke

Perinatal arterial ischemic stroke (PAIS) is one of the frequent causes of mortality and morbidity, but its etiology remains unclear. COL4A1 and COL4A2 mutations are monogenetic causes of weakness of the basement vascular membranes resulting in cerebral small-vessel disease, cerebral hemorrhage, and porencephaly. We hypothesized that variations in the COL4A1 and COL4A2 genes cause PAIS and performed mutation screening of these genes in 17 PAIS patients by whole-exome sequencing. Clinical, demographic, and laboratory data of the 17 PAIS patients were obtained by evaluating hospital files retrospectively. Patients included in the study were invited to the clinic for COL4A1 and COL4A2 mutation analysis. Results: The patient group consisted of 13 females (76.5%) and four males (23.5%) with a mean age of 107.4 ± 11.5 months. Maternal/fetal and prothrombotic risk factors identified in 52.9% and 94.1% of the patients, respectively. Whole-exome sequencing analysis did not reveal COL4A1 and COL4A2 pathological mutations in any of the patients. Although we did not find an association between PAIS and COL4A1 and COL4A2 variations, we believe that new studies with larger patient populations may reveal such a relationship.
Influence of Oral Hygiene after Orthodontic Appliance Removal in Children Candidates to Hematopoietic Stem Cell Transplantation: A 10 Years’ Experience

Ab s t r Ac t Objective: This cohort study aims to evaluate the impact of oral appliance removal on oral hygiene grade in children candidates to hematopoietic stem cell transplantation (HSCT) over a 10-year period. Materials and methods: The following data from 213 medical records of children candidates to HSCT for newly diagnosed hemato-oncologic diseases were collected: age, type of hemato-oncologic disease, presence of removable or fixed orthodontic appliance, debonding protocol, simplified oral hygiene index (OHI-S) before debonding (T0) and after 7 days (T1). Results: Out of 213 children candidates to HSCT, 44 patients (16.9%) wore an orthodontic device, in detail: 8 children wore a mobile appliance and 36 a fixed one. The removal of the fixed appliance was requested in six cases before performing magnetic resonance imaging (MRI) and in 30 cases before the conditioning. All the children underwent the same oral hygiene protocol after removing the fixed appliance. The OHI-S resulted significantly lower 7 days after the debonding procedure. Conclusion: The removal of the orthodontic appliance before HSCT increases the oral hygiene grade of the children candidates to transplantation. A correct protocol must be followed in order to respect the hard and soft tissues. Clinical significance: Orthodontic appliance removal before HSCT in children is recommended to ameliorate the oral hygiene grade of the patients, in addition, to prevent any form of traumatism on the oral mucosa.
Effect of Photodynamic Disinfection on milled acrylic flexural strength (an-in vitro study)

Background: Photodynamic disinfection is a new efficient specific method of disinfection of the denture surface which should be highly polished with high mechanical properties to prevent further colonization of bacteria that may cause starting from oral stomatitis up to pneumonia. The aim of this study is to investigate the effect of Photodynamic disinfection on milled acrylic flexural strength after 3 years of usage. Material& method: Preparing of 2mm × 2mm × 25mm 50 samples of milled acrylic , applying of a continuous 3 days,19 hours and 15 minute of disinfection = 12 month of use (15 minutes a day) ,7 days, 14 hours and 30 minute = 24 months and finally at the end of the 11 days, 9 hours and 45 minutes day of disinfection which simulate 3 years of disinfection with photodynamic method and compare it with +ve control (1%NaCl disinfection ) and -ve control (distilled water) groups and preparing 50 sample of heat cured acrylic with the same parameters and propose them to the same conditions and comparing them to milled samples then flexural strength is tested after each interval and compared to base line specimens with no disinfection at all . Results: The mean value of each disinfectant group flexural strength show insignificant effect in flexural strength compared to other control groups. Conclusion: From the results of the current study, we found that Photodynamic disinfection can be used safely to disinfect complete dentures but further studies are required due to lack of literature about this field.
Vinnytsia city, Ukraine. INFLUENCE OF THE POSTOPERATIVE ANALGESIATACTICS ON THE DYNAMICS OF INTRA- ABDOMINAL AND ABDOMINAL PERFUSION PRESSURE IN PATIENTS WITH ACUTE SURGICAL PATHOLOGY OF THE ABDOMINAL CAVITY. Structured abstract. Introduction: Intra-abdominal hypertension syndrome and abdominal comp

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FROM THE CONVENT

The transformation of consumer culture in contemporaneity has led to the double movement of globalization and glocalization, in their apparent oxymoron: the promotion of globalized values and interests, on one hand, and the increase in value of local assets as sources of development and promotion, on the other – something which is very clear when thinking about cultural tourism and the differential role of various forms of heritage. This points us to the notion of various scales of impact and dissemination, and the possibilities of working with them, rather than focusing specifically on promoting international or national touristic products. In this paper, we have sought to analyse the ways in which such touristic promotion can be undertaken with the help of ICT (Information and Communication Technologies), especially in the context of gamification of the touristic experience, referring to an ongoing project in the city of Tomar. In the context, this seeks to promote a more sustainable and diverse heritage awareness that can serve a dynamic touristic base, rather than centralizing efforts on the main attraction (the Convent of Christ and Templar Castle). More so, we intend with it to deepen the discussion over agent-based touristic product adaptation, in a systems-theoretical perspective, by trying to derive the various possible impacts of individualized touristic experiences, balancing the economic, social and cultural impacts of various ICT strategies. This study case covers four phases, having begun in September 2017. Various data collection and analysis techniques will be used (namely observation, surveys and documental analysis), with the presentation of final results aimed at early 2020.
DATASET FOR EVALUATION OF THE PERFORMANCE OF THE METHODS OF SOUND SOURCE LOCALIZATION ALGORITHMS USING TETRAHEDRAL MICROPHONE ARRAYS

For the development and evaluation of a sound source localization and separation methods, a concise audio dataset with complete geometrical information about the room, the positions of the sound sources, and the array of microphones is needed. Computer simulation of such audio and geometrical data often relies on simplifications and are sufficiently accurate only for a specific set of conditions. It is generally desired to evaluate algorithms on real-world data. For a three-dimensional sound source localization or direction of arrival estimation, a non-coplanar microphone array is needed.Simplest and most general type of non-coplanar array is a tetrahedral array. There is a lack of openly accessible realworld audio datasets obtained using such arrays. We present an audio dataset for the evaluation of sound source localization algorithms, which involve tetrahedral microphone arrays. The dataset is complete with the geometrical information of the room, the positions of the sound sources and the microphone array. Array audio data was captured for two tetrahedral microphone arrays with different distances between microphones and one or two active sound sources. The dataset is suitable for speech recognition and direction-of-arrival estimation, as the signals used for sound sources were speech signals.
An Adjunct Indicator for the Diagnosis of Fracture-Related Infections: Platelet Count to Mean Platelet Volume Ratio

Introduction: Fracture-related infection (FRI) is a common complication associated with orthopaedic fracture care. Diagnosing these complications in the preoperative setting is difficult. Platelets are a known acute phase reactant with indices that change in accordance with infection and inflammation. The purpose of our study was to assess the diagnostic utility of platelet indices at assessing FRI. Methods: A retrospective review performed for all patients who underwent revision surgery for fracture nonunion between 2013 and 2018. Radiographs were employed to define nonunion. Intraoperative cultures were used to define FRI. Receiver operator characteristic (ROC) curve analysis was used to assess the diagnostic ability of preoperative erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and the platelet count/mean platelet volume ratio (P/V) at recognizing FRI. Results: Of the 53 revision surgeries that were performed for fracture nonunion, 17 (32.1%) were identified as FRI. There were no significant demographic differences between the two cohorts. Patients with FRIs exhibited higher values for ESR (54.82 vs. 19.16, p<0.001), CRP (0.90 vs. 0.35, p=0.003), and P/V (37.4 vs. 22.8, p<0.001) as compared to those within the aseptic nonunion cohort. ROC curve analysis for P/V demonstrated that at an optimal ratio of 23, area under the curve (AUC) is 0.814, specificity is 55.6%, and sensitivity is 100.0%. There was no significant difference in the diagnostic performance of the serum biomarkers but only ESR and P/V had an AUC greater than 0.80. The negative predictive value (NPV) for P/V, ESR, and CRP was 100.0%, 84.6%, and 78.6%, respectively. Conclusion: The P/V ratio may serve as a reliable screening test for FRI.