Miracle-dz/UniFAR-FTUs huggingface dataset:
CLINICAL RESPONSE TO HIGH FRQUENCYRTMS AMONG PATIENTS WITH CEREBRAL SMALL VESSEL DISEASE

Back Ground: Cerebral small vessel disease (CSVD) is a condition of clinical and neuroimaging presentations that arise mainly from damage to the brain’s small perforating vessels causing lacunar type strokes, Intracranial hemorrhage and insidious significant deficits in gait, urinary and cognitive domains which are progressive in nature rTMS showed efficacy regarding improving gait and cognition in subcortical pathologies as Multiple Sclerosis, Parkinson disease and vascular dementia. rTMS exerts efficacy through enhancing neuroplasticity and in part modulating associated neuronal inflammation. Aim of work: Study the effect of High frequency rTMS on Cognitive symptoms among patients with cerebral small vessel disease with no acute stroke presentation. Patients and Methods: 40 patients are included, with MRI documented small vessel disease, symptomatic by either gait or cognitive or urinary symptoms or all. Randomized to 20 active and 20 sham groups, Active group received 6 sessions of high frequency Cz of intensity of 110% Motor Threshold. Sham group received 6 Sham sessions. Baseline line demographic data, vascular risk factors, radiological scales (Fazekas and Global cortical atrophy scale) were done to all patients, Baseline, post-sessions and 1 month follow up assesments were done regarding cognitive scales including FAB ( Frontal assessment Battery) and Adam Brook scale. Results: Comparing active group to sham group. Active rTMS has statistically significant improved FAB scores (P < 0.001) and Adam Brook scale scores (P < 0.001) Conclusion: our results suggested that High frequency Cz applied rTMS sessions showed statistically significant improvement in cognitive performance in patients with small vessel disease.
Continuous Time Formulation and Lagrangian Relaxation Algorithm for the Gate Assignment Problem

Gates are important operating facilities and resources in civil airports. It is a core task in the airport operation management to select reasonable gates for inbound and outbound flights. We present a continuous time formulation with second-order cone programming (SOCP) for the gate assignment problem which allocates flights to available gates to optimize both the transfer time of passengers and the robustness of the airport operations schedules. The problem is formulated as a mixed integer nonlinear program, and then, the quadratic objective that minimizes the walking distance of transferring passengers is linearized, and the objective that minimizes the variance of idle time at the gates is transformed to a second-order cone constraint with a linear objective function. Then, a Lagrangian relaxation algorithm is developed by exploiting the problem structure. Computational tests are carried out to illustrate the efficiency of the model and the algorithms. It is shown that the continuous time formulation is more efficient than the existing model, and the Lagrangian relaxation algorithm can obtain better solutions faster than a commercial solver.
University of Dundee Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population Fetit,

Dementia is a devastating disease, and has severe implications on affected individuals, their family and wider society. A growing body of literature is studying the association of retinal microvasculature measurement with dementia. We present a pilot study testing the strength of groups of conventional (semantic) and texture-based (non-semantic) measurements extracted from retinal fundus camera images to classify patients with and without dementia. We performed a 500-trial bootstrap analysis with regularized logistic regression on a cohort of 1,742 elderly diabetic individuals (median age 72.2). Age was the strongest predictor for this elderly cohort. Semantic retinal measurements featured in up to 81% of the bootstrap trials, with arterial caliber and optic disk size chosen most often, suggesting that they do complement age when selected together in a classifier. Textural features were able to train classifiers that match the performance of age, suggesting they are potentially a rich source of information for dementia outcome classification.
Linking intrinsic and apparent relationships between
phytoplankton and environmental forcings using machine
learning ‐ What are the challenges?

Abstract. Controls on phytoplankton growth are typically determined in two ways: by varying one driver of growth at a time such as nutrient or light in a controlled laboratory setting (intrinsic relationships) or by observing the emergence of relationships in the environment (apparent relationships). However, challenges remain when trying to take the intrinsic relationships found in a lab and scaling them up to the size of ecosystems (i.e., linking intrinsic relationships in the lab to apparent relationships in large ecosystems). We investigated whether machine learning (ML) techniques could help bridge this gap. ML methods have many benefits, including the ability to accurately predict outcomes in complex systems without prior knowledge. Although previous studies have found that ML can find apparent relationships, there has yet to be a systematic study that has examined when and why these apparent relationships will diverge from the underlying intrinsic relationships. To investigate this question, we created three scenarios: one where the intrinsic and apparent relationships operate on the same time and spatial scale, another model where the intrinsic and apparent relationships have different timescales but the same spatial scale, and finally one in which we apply ML to actual ESM output. Our results demonstrated that when intrinsic and apparent relationships are closely related and operate on the same spatial and temporal timescale, ML is able to extract the intrinsic relationships when only provided information about the apparent relationships. However, when the intrinsic and apparent relationships operated on different timescales (as little separation as hourly to daily), the ML methods underestimated the biomass in the intrinsic relationships. This was largely attributable to the decline in the variation of the measurements; the hourly time series had higher variability than the daily, weekly, and monthly-averaged time series. Although the limitations found by ML were overestimated, they were able to produce more realistic shapes of the actual relationships compared to MLR. Future research may use this type of information to investigate which nutrients affect the biomass most when values of the other nutrients change. From our study, it appears that ML can extract useful information from ESM output and could likely do so for observational datasets as well.
Oxidative Stress, Endothelial Dysfunction, Inflammation and Impaired Coagulopathy in Prediabetic Individuals

Background and objectives: Prediabetic is the precursor state of the disease Diabetic Mellitus (DM). It is a metabolic diathesis with high blood sugar and dyslipidaemia. This increases the risk for the development of DM and cardiovascular diseases. The prediabetic state is classified into: (1) the impaired fasting glycemia (IFG) and (2) impaired glucose tolerance (IGT). WHO has defined impaired fasting glucose level as 110 to 125mg% and impaired glucose tolerance as that 2hour plasma glucose to be within the range of 140 to 200 mg% after an oral glucose load of 75grams. Hence, this study was designed to(1) evaluate the role oxidative stress, endothelial dysfunction , inflammation (2) find diagnostic markers for early detection of changes in prediabetes to prevent DM. Material and method: This case control study included 112prediabetic individuals and an equal number of matched healthy volunteers. The FBG, lipid profile, HbA1c and CRP were estimated. We used ferrous oxidation in xylenol orange version 2 (FOX2) assay to estimate the level of oxidative load and FRAP assay for total antioxidant capacity; ratio of FOX2 & FRAP assay provided the oxidative stress level. We estimated endothelial dysfunction by serum nitric oxide (NO) level, inflammation by CRP and coagulopathy by plasma Fibrinogen level. Results: A positive correlation was seen between oxidative stress, glycated haemoglobin, inflammation and dyslipidemia and negative correlation with serum nitric acid. Conclusion: Biomarkers of oxidative stress, inflammation, dyslipidemia, serum nitric oxide should be monitered along with, glycated haemoglobin in prediabetic patients so that DM can be prevented.
Analysis of Tensile-Shear Strength of Single and Multi- FSSW Joints under fixed welding process conditions

The tensile-shear strength of AA 5052 single and multi-FSSW joints were analyzed using experimental, numerical, and analytical approaches. Benchmark specimens were designed and manufactured in a similar manner with respect to industrial practice. Under the fixed welding process condition, the failure mechanism of FSSW-ed specimens under tensile-shear loading was first determined by using macroand micro-structural analysis. It is shown that increasing the shoulder diameter and number of FSSWs may non-proportionally increase the strength of the joints. In the linearly arranged multi-FSSW joints, the strength of these joints was discussed using analytical approach. It is demonstrated that in certain cases, increasing the nugget diameter is preferred than increasing the number of nuggets. This is only applicable to a certain FSSW failure mechanism. A FE model prediction tool was developed to predict the tensile-shear strength of FSSW-ed joints using the material properties obtained from the measurement of experimental hardness.
ENVIRAD – An integrated database of environmental radiological monitoring information

With the increasing use of databases for environmental radiological monitoring of soils, food, water and sediments, among others, there is a demand for integrating the availability of this type of information, aiming at a data management tool for greater searchability for the most varied purposes. ENVIRAD is a new database proposing to integrate a set of previous databases, providing researchers with a tool for a more robust analysis of environmental studies. ENVIRAD, as developed so far, works with the integration of the following databases: MARIS, GLOMARD, GEORAD and SIGLARA databases, enabling queries and demonstrating great potential in the use of data integration for environmental samples.
Pakistan J

Eight iso-nitrogenous chick rations with different levels of sunflower meal (SFM) supplemented with two commercially available enzymes NIBGE and Grindazym were used to test the performance of broiler chicken. Non-significant differences among rations for feed consumption, highly significant difference for weight gain and significant differences for feed conversion ratio were observed. Average feed consumption of birds in finisher phase with different rations containing NIBGE ranged between 1477 and 1500g whereas the same containing GRINDAZYM ranged between 1503.75 and 1511.25g. The average weight gain of birds on rations with NIBGE was between 661.25 and 7.22 g whereas it was between 747.50 and 774.00g on rations with GRINDAZYM. The feed conversion ratio (FCR) with rations containing NIBGE ranged between 2.02 and 2.28 and 1.95-2.01g with Grindazym. The dressing percentage of experimental birds ranged between 49.64 and 56.55g. The analysis of experimental data on feed consumption, weight gain, FCR and dressing percentage revealed significant difference (P<0.01) among rations. The results suggested that enzyme supplementation helped improve digestion of fibre contents of SFM and increased bioavailability of metabolizeable energy from treated SFM. Enzyme supplemented sunflower meal can therefore be used safely in poultry ration formulation without compromising the performance of broiler birds but it can reduce cost of feed production by making use of locally available ingredients.
FURTHER BENEFITS OF XYLANASE ENZYME SUPPLEMENTATION TO LOW ENERGY CORN-SOYBEAN MEAL BROILER DIETS

his experiment was conducted to study the ability of supplemental xylanase enzyme (Xyl) to improve growth performance, carcass traits, meat quality and feeding cost of broilers fed on low metabolizable energy (ME) corn-soybean meal diets. Two hundred and forty, one day old unsexed Arbor Acres broiler chicks were randomly distributed into six treatments (2x3 factorial design) each had four replicates. Chicks were fed on corn-soybean diet supplemented with two levels of Xyl (0 and16000 U/kg of diet), and three ME levels which were standard strain recommendation (STD), 100 kcal lower than STD (E100) and 150 kcal lower than STD (E150) of each feeding phase for STD, E100, and E150 levels, respectively. The dietary ME values were 3000, 2900 and 2850 kcal/kg diet at starter phase; 3100, 3000 and 2950 kcal /kg at grower phase; and 3200, 3100 and 3050 kcal/kg at the finisher phase. All diets were formulated to save the strain requirements from the rest of nutrients. All chicks were housed in open system broiler house and received the same managerial conditions and veterinary program during experimental period (1-40 d of age). Parameters of growth performance, carcass characteristics, physical and chemical evaluation of broiler meat were carried out and feeding cost was calculated. The recorded results showed that xylanase supplementation to broiler diets resulted in significant improvement of body weight, body weight gain, feed conversion ratio, dressing %, and breast meat yield %, while feed intake and ultimate pH (pHu) of both breast and thigh cuts were decreased. Regarding to ME of diets, reducing ME values from STD level to E150 level caused significant reduction in final body weight, abdominal fat %, pHu of breast meat samples and concentrations of malondialdehyde (MDA) and low density lipoprotein (LDL). Furthermore this reduction of ME levels caused significant increase of feed intake, % of drum stick and concentration of total protein of broiler meat at 40 d of age. Among experimental treatments chicks of both STD+Xyl and E100+Xyl treatments showed better growth performance, carcass traits, and meat quality compared with other treatments. In addition applying these treatments resulted in saving 9.25 % and 3.51% from feeding cost/kg of body weight relative to feeding cost of STD group. According to these results it could be concluded that adding xylanase enzyme to either STD or E100 corn-soybean meal broiler diets could enhance the quality of produced broiler accompanied with saving in feeding cost.
Vertebrae of Plethodontid Salamanders from the Lower Miocene of Montana

Fossils recovered from the Lower Miocene (Arikareean) Cabbage Patch Forma- tion of southeastern Montana include four vertebrae that can be assigned to the genera Plethodon and Aneides, family Plethodontidae, although species identification is not possible. Discovery of these fossils corroborates views based on indirect paleobiological evidence that these genera were widely distributed in Central North America in early Tertiary times.
Measuring the Success of the Learning Management System at the University of Belize Belmopan Campus

Technology has opened a new path for education, allowing it to be more interactive and offering support. This study seeks to determine the success of the learning system “Moodle” at the University of Belize, by using DeLone and Mclean’s Information System Success Model. The model encompasses six aspects of information success which include: information quality, system quality, service quality, use, user satisfaction, and perceived net benefits. Our study contributes two dimensions to the model which are: computer self-efficacy and complementary technology quality. A total of fifty questionnaires were randomly distributed to students at University of Belize’s Central Campus. Thereafter, data analysis and results revealed that “Moodle” is moderately effective at attaining UB’s organizational goals.
Revolutionary Genome Editing Tools for Crop Improvement

In the present situation, the main problem faced by the human is to supply food security for the larger population of this world. In the year 2050, world production must be enhancing by 60-100 per cent to feed a population of 10 billion (FAOSTAT, 2016). Other than increased population, so many different factors like weather condition, less cultivable land availability, along with that biotic and abiotic stress also affects the farming condition and the production. Production of Staple crops like maize, rice, wheat and soybean can enhance by 38-67 per cent if the improvement of the condition prevail at the current rate(Ray et al., 2013). With the help of agronomic management practices like soil and water management, application of pesticides and fertilizer can improve the yield at a certain level. As arable land availability is less worldwide only agronomic practices alone cannot solve the problem. Development of new tools by the application of genetic engineering has strengthened the agronomic practices for breeding programmed to add improvement in production by some level. International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 7 (2020) Journal homepage: http://www.ijcmas. com
Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance

For group recommendations, one objective is to recommend an ordered set of items, a top-N, to a group such that each individual recommendation is relevant for everyone. A common way to do this is to select items on which the group can agree, using so-called ‘aggregation strategies’. One weakness of these aggregation strategies is that they select items independently of each other. They therefore cannot guarantee properties such as fairness, that apply to the set of recommendations as a whole. In this paper, we give a definition of fairness that ‘balances’ the relevance of the recommended items across the group members in a rank-sensitive way. Informally, an ordered set of recommended items is considered fair to a group if the relevance of the items in the top-N is balanced across the group members for each prefix of the top-N. In other words, the first item in the top-N should, as far as possible, balance the interests of all group members; the first two items taken together must do the same; also the first three; and so on up to N. In this paper, we formalize this notion of rank-sensitive balance and provide a greedy algorithm (GFAR) for finding a top-N set of group recommendations that satisfies our definition. We compare the performance of GFAR to five approaches from the literature on two datasets, one from each of the movie and music domains. We evaluate performance for 42 different configurations (two datasets, seven different group sizes, three different group types) and for ten evaluation metrics. We find that GFAR performs significantly better than all other algorithms around 43% of the time; in only 10% of cases are there algorithms that are significantly better than GFAR. Furthermore, GFAR performs particularly well in the most difficult cases, where groups are large and interests within the group diverge. We attribute GFAR’s success both to its rank-sensitivity and its way of balancing relevance. Current methods do not define fairness in a rank-sensitive way (although some achieve a degree of rank-sensitivity through the use of greedy algorithms) and none define balance in the way that we do.
Urban Traffic Travel Time Short-Term Prediction Model Based on Spatio-Temporal Feature Extraction

In order to improve the accuracy of short-term travel time prediction in an urban road network, a hybrid model for spatio-temporal feature extraction and prediction of urban road network travel time is proposed in this research, which combines empirical dynamic modeling (EDM) and complex networks (CN) with an XGBoost prediction model. Due to the highly nonlinear and dynamic nature of travel time series, it is necessary to consider time dependence and the spatial reliance of travel time series for predicting the travel time of road networks. The dynamic feature of the travel time series can be revealed by the EDM method, a nonlinear approach based on Chaos theory. Further, the spatial characteristic of urban traffic topology can be reflected from the perspective of complex networks. To fully guarantee the reasonability and validity of spatio-temporal features, which are dug by empirical dynamic modeling and complex networks (EDMCN), for urban traffic travel time prediction, an XGBoost prediction model is established for those characteristics. Through the in-depth exploration of the travel time and topology of a particular road network in Guiyang, the EDMCN-XGBoost prediction model’s performance is verified. The results show that, compared with the single XGBoost, autoregressive moving average, artificial neural network, support vector machine, and other models, the proposed EDMCN-XGBoost prediction model presents a better performance in forecasting.
Taxonomy of the causal fungus of trunk-blight of Xanthoxylum piperitum and heterothallism in this fungus

The causal fungus of trunk-blight of Xanthoxylum piperitum (L.) DC. , which was named Nectria elegans by Yamamoto and Maeda, was identified by the writers as Hypomyces solani (Rke. et Berth.) Snyd. et Hans. [Fusarium solani (Mart.) Snyd. et Hans. ]. Cross inoculations were carried out between this fungus and 7 forms and 2 races of Fusarium solani. This fungus was pathogenic only to Xanthoxylum piperitum and not to any host of the other forms of F. solani. On the other hand all the forms and races of F. solani tested were non pathogenic to Xanthoxylum piperitum. From these results, the writers propose the following nane for this fungus.Hypomyces solani (Rke. et Berth.) Snyd. et Hans. f. xanthoxyli Sakurai et Matuo nom. nov.[Fusarium solani (Mart.) Snyd. et Hans. F. xanthoxyli Sakurai et Matuo nom. nov.]Syn. Nectria elegans Yamamoto et MaedaHab. in vivis xanthoxyli, cetra ut in typo10)The type culture is deposited in Lab. Phytopath. & Mycol. , Fac. Text. Seric. , Shinshu Univ., Ueda, Japan, which was isolated from Xanthoxylum piperitum suffered from blight disease.The sexuality of this fungus was studied. The results of reciprocal spermatization among the monoascosporic strains proved that this fungus is hermaphroditic and shows the compatibility heterothallism. Interformic fertility between this fungus and f. cucurbitae, f. mori and f. radicicola race 2 of Hypomyces solani was tested. But the interformic cross did not occur in every occasion.
Influence of glass fiber posts and class III direct restorations on the resistance of anterior teeth

This study objectives to evaluate the fracture strength of upper central incisors (UCI) restored with composite resin (CR) in Class III cavities and endodontically treated teeth with or without glass fiber post (GFP), analyzing their failure mode. Sixty human UCI were randomly divided into four experimental groups: endodontically treated teeth without GFP (G1), endodontically treated teeth with GFP (G2), teeth with mesial/distal Class III cavities restored with CR without GFP (G3), and teeth with mesial/distal Class III cavities restored with CR with GFP (G4). The samples were submitted to the fracture strength test in a universal testing machine with a compression shear load applied at speed of 1.0 mm/min until fracture occurred. The data were submitted to one-way ANOVA (α=0.05) and the samples were analyzed for failure mode. The analysis did not show a significant statistical difference in fracture strength between the groups (p>0.05). The results showed that only endodontically treated teeth (G1) (753.4N) presented behavior similar to teeth with GFP (G2) (702.1N). The same occurred when comparing teeth with Class III cavities without GFP (G3) (670.2 N) and with GFP (G4) (746.1N). It can be concluded that glass fiber posts do not change the fracture strength of incisors with endodontic treatment and Class III cavities.