Miracle-dz/UniFAR-FTUs huggingface dataset:
On The Road to H ades –Helpful Automatic Development Email Summarization

—During the development of software systems, programmers often discuss issues such as structural decisions, defects, time management, etc. Especially in distributed development, where most of the discussions among developers take place via email, developers receive daily dozens, if not hundreds, of messages, either personally sent to them or broadcasted by mailing lists they are subscribed to. Dealing with these emails requires developers to spend long time reading voluminous amounts of text. A way to solve this problem is summarization : Producing a summary of a text means reducing it to a version based only on fundamental elements, by removing the parts unnecessary for the comprehension. Since researchers presented techniques for automatically summarizing natural language documents or source code, we are interested in investigating whether it would be possible to also summarize development emails, so that developers could consult small summaries instead of long threads. In this paper, on the basis of our ﬁrst experiences in tackling development email summarization, we discuss the challenges that go hand in hand with such an endeavor.
Giant Left Atrial Thrombus Despite Anticoagulation with Apixaban in a Patient with Mitral Stenosis and Atrial Fibrillation

Patient: Female, 64-year-old Final Diagnosis: Thrombus Symptoms: Fatigue • palpitation Medication: — Clinical Procedure: — Specialty: Cardiology Objective: Unusual clinical course Background: In patients with atrial fibrillation (AF), the presence of a left atrial thrombus correlates with the highest risk of stroke. Mitral stenosis (MS) is an acquired disease that leads to atrial pressure overload and subsequent significant anatomical and electrical remodeling of the left atrium. This promotes the occurrence of AF and atrial thrombus formation. Proper anticoagulation decreases the stroke risk in AF patients. Unfortunately, there is insufficient data on the effectiveness of non-vitamin K antagonist oral anticoagulants (NOAC) in patients with AF and MS. Case Report: We present a case of 64-year-old woman referred for electrical cardioversion (CV) due to symptomatic AF. She was administered an apixaban for stroke prevention, but she missed the scheduled echocardiography prior to referral. Imaging performed on-site revealed a giant left atrial thrombus and moderate MS. High mobility of the intracardiac mass together with moderate AS and MS were assessed as significant predictors of distal embolization. The patient underwent mitral valve replacement with the thrombus removal. Her further recovery was uneventful. Conclusions: Mitral stenosis significantly affects the anticoagulant selection in patients with atrial fibrillation. Thus, echocardiography is mandatory if the first diagnosis is atrial fibrillation to exclude contraindications for NOAC therapy.
IMPACT OF INTERNET USAGE ON NIGERIA SECONDARY SCHOOL STUDENTS PERFORMANCE: VAR APPROACH

Using quarterly data from 1996 to 2019, this study examined the relationship between internet usage and secondary school student performance in Nigeria. Using a systems simultaneous equation, cointegration analysis was established to capture long-and short-run relationships between variables. The simultaneous equation was simulated using the vector auto-regression (VAR) model technique. To explore short-run causality among variables, the researchers used the VAR Granger causality methodology to look at causality correlations between series. The findings show that internet use, the environment, infrastructure, and government policy have no bearing on tertiary school enrollment. The study recommends that the government hire more qualified counsellors to provide correct guidance on how to use the internet properly, as well as increase the education budget to reach the UNESCO recommendation of 25% to enable schools to improve their environment, upgrade infrastructure, and give free internet within the school environment.
Hybrid immunity versus vaccine-induced immunity against SARS-CoV-2 in patients with autoimmune rheumatic diseases

Abstract: Introduction: Single-dose COVID-19 vaccines in healthy individuals with past COVID-19 infections seem to provide better immunity than double doses in COVID-19 unexposed individuals. However, it is not known whether the same is true for patients with autoimmune rheumatic diseases (AIRD) who are on immunosuppressants. Methods: We identified 30 patients with AIRD who took a single dose of the ChAdOx1 vaccine post-COVID-19 infection. Age, sex and disease similar patients were enrolled in to three groups of 30 each who had (1) past infection with COVID-19 but no vaccine, (2) a single dose of ChAdOx1 and (3) double doses of ChAdOx1. Sera were collected from each patient approximately 30 days after last vaccine dose or since the onset of COVID19 symptoms (in the unvaccinated group). Antibodies to spike protein were estimated and virus neutralization potential of sera was tested. Results: Baseline characteristics including drug usage was similar betweenthe groups. Seroconversion occurred in 25(83%), 23(77%), 27(90%), and 30(100%) in natural infection, single-dose vaccine, double dose vaccine, and infection and single dose vaccine groups respectively. Mean antibody titres (10076.8 SD 8998) in the last group were at least 6-100x higher than in the other 3 groups. Also, the infection +vaccine group had the highest neutralization potential of 83.37 % as compared to 45.4% in the fully vaccinated group. Conclusion: The hybrid immunity with a single dose of the vector-based vaccine post-infection seems to be superior to double dosage of the vaccine in patients with AIRD. A universal vaccination strategy involving a single dose of vaccine for all individuals with previous COVID-19 infection seems to be effective in these patients also.
Synthesis, characterization and assessment of hydrophilic oxidized carbon nanodiscs in bio-related applications

Oxidation of industrially prepared carbon nanodiscs using a simple, versatile, and reproducible approach based on the Staudenmaier method yields a new hydrophilic form of nanocarbon. As a result of the strong acid treatment, which also enables the separation of carbon nanodiscs from the mixed starting material, the graphene planes detach from the discs, while the surface of the carbon nanodiscs is decorated with various oxygen-containing functional polar groups. Thus, the completely insoluble carbon nanodiscs are converted to a hydrophilic derivative dispersable in many polar solvents, including water. The new carbon structure is expected to have a wide range of applications in several fields including bioapplications. To this end, the functionalized carbon nanodiscs exhibit very low cytotoxicity, while they achieve high drug loadings, enabling their application as an effective drug nanocarrier. Furthermore, the carbon disks were evaluated as supports in nanobiocatalytic applications, increasing significantly the stability of the systems, due to carbon disks' nano-sized dimensions.
Effect of MgO and montmorillonite nanoparticles on removal behavior of cobalt

In this research, the adsorption of divalent cobalt (Co(II)) ions from aqueous solutions were investigated using nano magnesium oxide (MgO-NPs) and montmorillonite nanoparticles (Mont-NPs). Batch experiments were carried out to measure the optimum values of pH, adsorbent dosage, contact time, and temperature. Adsorbents were characterized by powder X-ray diffraction and a scanning electron microscope with energy-dispersive X-ray. Thermodynamic parameters were calculated, and the results showed an exothermic and endothermic pattern for the adsorbents. The maximum adsorption capacities of MgO-NPs and Mont-NPs were calculated as 440 and 2.53 mg/g, respectively. The pseudo-second-order model justified the experimental data of the adsorbents, while the pseudo-first-order model only fitted the MgO-NPs data. Desorption was carried out at the last point of the isotherm figure to verify the preservation capability of the adsorbed ions. Regarding the adsorbent dosage and the isotherm experiments, this study revealed that MgO-NPs have an excellent potency for Co(II) ion adsorption from the aqueous solutions compared to Mont-NPs. MgO-NPs and Mont-NPs are present in some rocks and soil textures; hence, the finding of this study could help chemists and environmentalists with the trace of pollutants and the removal of heavy metals in the soil-water medium.
OVERLAPPING NEIGHBORHOODS, LOCAL INTERACTION MODEL

The research develops an overlapping neighborhoods local interaction model in game theory. The agents of the game interact by playing variants of the prisoner’s dilemma. The interaction model represents a social network--Facebook or a suburban neighborhood, for example. Agents of the game are characterized by a simple adaptive learning algorithm, in which strategies are periodically switched to mimic the most successful players. Past research on this topic began with examining 1-dimensional and 2-dimensional social network models. This research develops past investigations by making a more intuitive model of the social network, with hopes of investigating the impact of the network on behavior, given the assumptions about interaction and learning rules. Starting with a geodesic dome as a simple 2-dimensional network, different aspects of the social interaction are parameterized. This research provides the framework for the future development of computer simulations that will be used to explore long run model behavior.
MODELLING AND HYDRO-MORPHOMETRIC ANALYSIS OF SUB- WATERSHED. A CASE STUDY OF MESTA RIVER SOUTHWESTERN BULGARIA

In the present article some morphometric characteristics of small catchments (a total of 28) in the Mesta River were calculated and mapped. Some of the maps are obtained by calculation based on a vector model. For the detailed study, we used digital elevation model (DEM) for the surveyed territory and the application of a cartographic algebra in the GIS environment. As a result, GRID models have been obtained for some of the parameters. Different thematic maps (i.e. Surface runoff direction, Classification of the river network, Orientation of the catchments, Topographic factor of the slope of catchments, Kernel drainage density, Standard deviation of elevation, Basin-scale Ruggedness etc.) have been prepared by using the ArcGIS software. Authors have computed more than 20 morphometric parameters of all aspects. This study is very useful to implement different analysis of hydro-morphometric characteristics of catchments and also to solve various hydrological problems for watershed management.
Analysis on the Contribution of Water Transport Development to Social Economy in the Middle and Upper Reaches of the Yangtze River

The development of inland water transport industry not only promotes the development of the city, the growth of regional economy and the improvement of people's living standards, but also plays an important role in improving the traffic environment and urban ecological environment. Based on the existing literature research, this paper summarizes and draws lessons from the development experience of water transport industry at home and abroad. Firstly, it expounds the overall development status of waterway transportation in the middle and upper reaches of the Yangtze River, including the construction, development and achievements of waterway. Secondly, the correlation between waterway transportation and basin economy in the middle and upper reaches of the Yangtze River is analyzed. And summarize and analyze the contribution of waterway construction to economic development and social development. Finally, based on the above analysis, this paper puts forward the corresponding development strategies of the middle and upper reaches of the Yangtze River waterway: improving the water transport policy; increasing the construction of waterway and port facilities; accelerating the construction of collection and distribution system; optimizing the structure of ship transport capacity, developing professional transportation; improving the level of inland water transport informatization; vigorously cultivating high-quality shipping talents; building and developing a green water transport system.
Remote sensing dynamic monitoring of eco-water (layer) conservation spatiotemporal variation in earthquake stricken areas

Water is the major guarantee for ecological restoration and a virtuous ecological cycle. This study is based on spatial information processing technology and mathematical modeling. The results demonstrate that the overall trend in regional modulus of eco-water conservation (MEC) and quantity of eco-water conservation (QEC) was dropped dramatically and then gradually increased from 2007 to 2017. The restoration process of eco-water conservation capacity cannot match both in time and space. Moreover, there are significant differences in MEC between different land types. Serious destruction of forestland are the leading factors of the 14.27% decrease in MEC of the study area after earthquake. Besides, there is an apparently positive correlation between MEC distribution and slope changes on the whole (p < 0.05), so the earthquake has the greatest impact on MEC if the surface slope is between 15° and 35°. Furthermore, the average MEC in areas below 3,000 m above sea level is higher than in other areas, and the MEC reduction rate after the earthquake is 31.85% higher than the areas above 3,000 m. In addition, the disturbance of MEC around faults was more often than that in other areas.
Individualized Mutual Adaptation in Human-Agent Teams

The ability to collaborate with previously unseen human teammates is crucial for artificial agents to be effective in human-agent teams (HATs). Due to individual differences and complex team dynamics, it is hard to develop a single agent policy to match all potential teammates. In this article, we study both human-human and HAT in a dyadic cooperative task, Team Space Fortress. Results show that the team performance is influenced by both players’ individual skill level and their ability to collaborate with different teammates by adopting complementary policies. Based on human-human team results, we propose an adaptive agent that identifies different human policies and assigns a complementary partner policy to optimize team performance. The adaptation method relies on a novel similarity metric to infer human policy and then selects the most complementary policy from a pretrained library of exemplar policies. We conducted human-agent experiments to evaluate the adaptive agent and examine mutual adaptation in HAT. Results show that both human adaptation and agent adaptation contribute to team performance.
Endophytic Fungi Isolated from the Marine Sponges as a Source of Potential Bioactive Compounds

Received on: 08-09-2020; Revised on:14-10-2020; Accepted on: 16-10-2020 The marine environment with its vast biodiversity is a rich source of natural products and sponges which harbor several microbes are valuable sources with immense pharmaceutical potential. Three marine sponges, Tedania anhelans, Myxilla arenaria, Callyspongia fibrosa which are relatively common along the east and west coasts of India were collected from Vizhinjam and Kovalam in Kerala. In the present study, 19 endophytic fungi were isolated from these marine sponges using Sabouraud Dextrose Agar Medium. Phylogenetic identity of these isolates was done by sequencing the internal transcribed spacer (ITS) region of the fungus. Bioactivity potential such as anticancer, antioxidant and anti-inflammatory activities of these isolates were evaluated using suitable bioassays. Fungi identified as Aspergillus sp. MCCF 103, Aspergillus sp. MCCF 111, Aspergillus sp. MCCF 114, Penicillium sp. MCCF 115 and Aspergillus sp. MCCF 119 exhibited significant cytotoxic activity on NCI-H460 lung cancer cells lines, while one isolate identified as Aspergillus sp. MCCF 102 exhibited better anti-inflammatory and antioxidant activities. The current study proposes sponge-associated fungi are excellent source of bioactive molecules, which is least explored till date. Further studies on purification and structural characterization of lead compounds are continuing.
Bioactive metabolites of Cunninghamella, Biodiversity to Biotechnology

Cunninghamella is a fungal genus that belongs to family Cunninghamellaceae and has been involved as promising tool in many important mycotechnological applications. Cunninghamella is an endophytic fungus, their secondary metabolites are of potential biological activities especially as antimicrobial agents. The aim of this review is to highlight the description, ecology, and important in medicinal and industrial applications of the genus Cunninghamella in general. Moreover, describing the importance and potentials of this fungus in order to encourage for further studies to search, isolate, and purify already known metabolites. Also, screen for, and discover novel metabolites produced by this potent fungi in order to be involved in additional applications.
Corn Yield Prediction in US Midwest Using Artiﬁcial Neural Networks

Climate change driven increment in temperature and variations in weather have aﬀected agrarian economies throughout the world. Due to this temperature change-fueled uncertainty in agricultural yield, it becomes imperative to study the dependence of yield on meteorological factors. Deep learning architectures oﬀer a way to clearly deﬁne this relationship through non-linear function approximations. In this study, we oﬀer a comparison of deep learning with other popular data driven methods and outline a concrete dropout based Bayesian uncertainty estimation of yield predictions.
Modeling One-Dimensional Touch Pointing with Nominal Target Width

Finger-Fitts law [6] is a variant of Fitts’ law which accounts for the finger ambiguity in touch pointing. It involves the effective target width We (i.e., √ 2πeσ ) in modeling touch pointing. We hypothesize that the nominal target width (W ) can be used in lieu of We in FingerFitts law. Such a model, called Finger-Fitts-W model, complements the original Finger-Fitts law because it suits the situation where the distribution of endpoints is unknown, such as answering the following question without running a study: "what would be the target selection time if the target size increases from 2 to 3 cm? ". Although the Finger-Fitts-W model has been implied, it is understudied. In this short paper, we compare using nominal width (W ) vs. effective width (We) in one-dimensional touch modeling. The results showed that the Finger-Fitts-W model improves the model fitness over the conventional Fitts’ law and has a slight improvement over the original Finger-Fitts law. Our key takeaway is that FingerFitts-W is a valid model for predicting touch pointing movement time. It complements the original Finger-Fitts law as it can predict movement time of touch pointing even if the distribution of endpoints is unknown.
COMPARISON OF NAIVE BAYES AND SVM CLASSIFIERS FOR DETECTION OF SPAM SMS USING NATURAL LANGUAGE PROCESSING

Day today’s innovative world observers an extraordinary possibility in the communication sector. Individuals will in general utilize various approaches to speak with individuals around the world. The regular methods for sharing short data in an exceptionally simple manner and is cases recorded now a days. This desires a need to recognize Spam SMS to stay away from digital wrongdoing robbery and extortion exercises. A labeled dataset is utilized for recognition reason and two classifiers to be specific Support Vector Machine and Naïve Bayes are utilized to make a correlative examination for the location of spam accomplished by utilizing of Short Message Service. SMS doesn’t require any web charges yet, it is unsurpassed utilized methods for remote correspondence. Each versatile client has this office of course. It has an incredible monetary effect on the clients just as the specialist co-ops. Then again SMS spam is one of the major digital wrong doing SMS and the exhibition of classifiers are thought about.
Correlative FRET: new method improves rigor and reproducibility in determining distances within synaptic nanoscale architecture

A new correlative Förster Resonance Energy Transfer (FRET) microscopy method using FluoroNanogold™, a fluorescent immunoprobe with a covalently attached Nanogold® particle (1.4nm Au), overcomes resolution limitations in determining distances within synaptic nanoscale architecture. FRET by acceptor photobleaching has long been used as a method to increase fluorescence resolution. The transfer of energy from a donor to an acceptor generally occurs between 10-100Å, which is the relative distance between the donor molecule and the acceptor molecule. For the correlative FRET microscopy method using FluoroNanogold™, we immuno-labeled GFP-tagged-HeLa-expressing Connexin 35 (Cx35) with anti-GFP and with anti-Cx35/36 antibodies, and then photo-bleached the Cx before processing the sample for electron microscopic imaging. Preliminary studies reveal the use of Alexa Fluor® 594 FluoroNanogold™ slightly increases FRET distance to 70Å, in contrast to the 62. 5Å using AlexaFluor 594®. Preliminary studies also show that using a FluoroNanogold™ probe inhibits photobleaching. After one photobleaching session, Alexa Fluor 594® fluorescence dropped to 19% of its original fluorescence; in contrast, after one photobleaching session, Alexa Fluor 594® FluoroNanogold™ fluorescence dropped to 53% of its original intensity. This result confirms that Alexa Fluor 594® FluoroNanogold™ is a much better donor probe than is Alexa Fluor 594®. The new method (a) creates a double confirmation method in determining structure and orientation of synaptic architecture, (b) allows development of a two-dimensional in vitro model to be used for precise testing of multiple parameters, and (c) increases throughput. Future work will include development of FluoroNanogold™ probes with different sizes of gold for additional correlative microscopy studies.
Psychometric properties of CVFQ7-BR-toxo to evaluate vision-related quality of life in children with congenital toxoplasmosis in Brazil.

PURPOSE The high prevalence and severity of congenital toxoplasmosis in Brazil, with several affected individuals progressing to low vision, emphasize the importance of evaluating their quality of life. In this study, the Children's Visual Function Questionnaire (CVFQ) was adapted to the sociocultural context of Brazilian children, and its psychometric properties were investigated for evaluating the vision-related quality of life of these individuals. METHODS This was a nested cross-sectional epidemiological study that prospectively monitored a cohort of 142 preschool children at a single referral university hospital in Belo Horizonte, Brazil. All children underwent complete ophthalmological examination, including visual acuity testing and binocular indirect ophthalmoscopy. Questionnaires were applied to their parents and caregivers to evaluate quality of life perception, as well as socioeconomic status of their families. Psychometric properties of the quality of life scale were evalua-ted by multivariate statistical analyses. RESULTS Adaptation to the Brazilian version of CVFQ-7 resulted in CVFQ-BR-toxo, a questionnaire for evaluating the perception of parents/caregivers about the vision-related quality of life of preschool children with congenital toxoplasmosis. The following six subscales were identified based on description, variability structure, and interpretation/grouping of items: general health, visual acuity, visual performance/functional vision, personal and social behavior, impact on family, and treatment. Children with low vision related to congenital toxoplasmosis had significantly lower scores for the following subscales: visual acuity (p=0.004), visual performance/functional vision (p=0.008), impact on family (p=0.001), and overall health (p=0.001). CONCLUSION Psychometric properties were appropriate concerning the validity of the quality of life construct. CVFQ-BR-toxo could demonstrate the impact of vision impairment on families of children with congenital toxoplasmosis.