Miracle-dz/UniFAR-FTUs huggingface dataset:
A Bimanual Manipulation Taxonomy

The ability of humans to bimanually manipulate objects is unprecedented and has not been matched by robots yet. The goal-oriented coordination requires the consideration of both temporal and spatial constraints between the hands. Within this work, we propose a taxonomy which differentiates between the different coordination patterns observed in human bimanual manipulation. The taxonomy rests on the key aspects of coordination and interaction of the hands, hand roles and symmetry in the execution of bimanual tasks. To validate the taxonomy, we propose a contact- and graph-based representation of the task, which combined with a rule-based classification provides the category of bimanual actions.
Interactive comment on “Measurement of iodine species and sulfuric acid using bromide chemical ionization mass spectrometers”

This is a well written and organized account of the application of a bromide cims instrument for the detection of various iodine containing species as well as sulfuric acid. The authors present nice account with much of the pertinent information related to their experiments. However, I ﬁnd that there is much to be desired with respect to the errors associated with the methods used here and the various approximation used throughout the anaylsis. This is signiﬁcant as the authors are presenting a very optimistic account of the ability of this method to detect extremely low levels of these species in a real-world marine environment. If in fact the authors can provide more details and support their conclusions through the additional information this is a truly remarkable performance and will be of wide interest to the ﬁeld of atmospheric mass spectrom-C1
Competing risks models with two time scales

: Competing risks models can involve more than one time scale. We propose a model for competing events in which the cause-speciﬁc hazards vary smoothly over two times scales. We estimate these two-dimensional hazard functions by P-splines, exploiting the equivalence between hazard smoothing and Poisson regression. As the data are arranged on a grid we can make use of generalized linear array models (GLAM) for eﬃcient computations. We present an application to the study of transitions out of non-marital cohabitation in Germany.
C-shaped electron beams: design, experimental production and application

The development of metamaterials operating at visible light wavelengths requires metamaterials to be produced with nanoscale structure over large areas. Improvements in the efficiency of electron beam lithography (EBL) could play an important role in accelerating this development. In this paper we show the production of a shaped probe for use in EBL. A phase structured electron wave containing vortices can be focused to produce a C-shaped cross section. Local spatial frequency analysis shows that both the gap and overall size of the C-shape can be easily controlled. We present the generation of such a C-shaped electron beam using a holographic binary amplitude diffraction mask. Thin AlF3 film is exposed to the C-shaped diffraction order and demonstrates the facile production of both a metallic C-shaped structure as well as the etching of a C-shaped hole.
Enhancing the PARSEME Turkish Corpus of Verbal Multiword Expressions

The PARSEME (Parsing and Multiword Expressions) project proposes multilingual corpora annotated for multiword expressions (MWEs). In this case study, we focus on the Turkish corpus of PARSEME. Turkish is an agglutinative language and shows high inflection and derivation in word forms. This can cause some issues in terms of automatic morphosyntactic annotation. We provide an overview of the problems observed in the morphosyntactic annotation of the Turkish PARSEME corpus. These issues are mostly observed on the lemmas, which is important for the approximation of a type of an MWE. We propose modifications of the original corpus with some enhancements on the lemmas and parts of speech. The enhancements are then evaluated with an identification system from the PARSEME Shared Task 1.2 to detect MWEs, namely Seen2Seen. Results show increase in the F-measure for MWE identification, emphasizing the necessity of robust morphosyntactic annotation for MWE processing, especially for languages that show high surface variability.
Relationship between Subjective Quality of Life and Major Depression among Outpatients with Rheumatoid Arthritis Attending a Nigerian Tertiary Health Institution

Background: Rheumatoid arthritis is a chronic and debilitating immunological disorder that majorly affects joints with swollen and painful characteristics. These patient-reported symptoms worsen their quality of life, which may consequently, predispose them to having major depression. Method: Using a simple random sampling, one hundred and eleven adult patients in the age range of 18 to 64 years with rheumatoid arthritis were cross-sectionally evaluated at the rheumatology Out-Patient Clinic of the Lagos State University Teaching Hospital. The socio-demographic questionnaire, WHO Composite International Diagnostic Interview (CIDI), World Health Organization Quality of Life Scale Short Form (WHOQOL- BREF) were administered to participants to obtain their demographic/clinical variables, make diagnosis of depressive disorder and assess their subjective quality of life respectively. Results: About one-third (n=33; 29.7%) of the participants reported having current depressive disorder. None of the tested variables after controlling for the cofounders was found to be an independent risk factor for current depression among the participants. Conclusion: The prevalence of major depressive disorder is high among individuals with rheumatoid arthritis, and specialists managing this population should routinely screen for depression in patients with rheumatoid arthritis.
A Mixed Ensemble Learning and Time ‐ Series Methodology for Category ‐ Specific Vehicular Energy and Emissions Modeling

: The serially ‐ correlated nature of engine operation is overlooked in the vehicular fuel and emission modeling literature. Furthermore, enabling the calibration and use of time ‐ series models for instrument ‐ independent eco ‐ driving applications requires reliable forecast aggregation proce ‐ dures. To this end, an ensemble time ‐ series machine ‐ learning methodology is developed using data collected through extensive field experiments on a fleet of 35 vehicles. Among other results, it is found that Long Short ‐ Term Memory (LSTM) architecture is the best fit for capturing the dynamic and lagged effects of speed, acceleration, and grade on fuel and emission rates. The developed ve ‐ hicle ‐ specific ensembles outperformed state ‐ of ‐ the ‐ practice benchmark models by a significant mar ‐ gin and the category ‐ specific models outscored the vehicle ‐ specific sub ‐ models by an average mar ‐ gin of 6%. The results qualify the developed ensembles to work as representatives for vehicle cate ‐ gories and allows them to be utilized in both eco ‐ driving services as well as environmental assess ‐ ment modules.
Medical Management of Pulmonary Hypertension: Calcium Channel Blockers Vs Sildenafil A Systematic Review

Background: Pulmonary hypertension can be defined as incompatibility in blood pressure level into vessels and right side of heart is affected severely through this. As a result, heart failure among patients is common and reduction of blood flow affects negatively over respiratory rate. Calcium channel blockers such as Amlodipine, Nicardipine, Felodipin are potential to slow down blood pressure and accumulation of calcium ions are decreased in vessel wall. In addition, Sildenafil is an active Viagra component that also helps to regulate thickness of blood vessels for controlling pressure. This study mainly focuses on comparing medical management strategy of pulmonary hypertension by using Calcium channel blockers and Sildenafil. Methods: This study is actually a systemic review to analyse the impact of Calcium channel blockers and Sildenafil on patients suffering from pulmonary hypertension. Original full research articles are selected for literature review and 63 patients are detected for easy comparison of drug usage and facilities. Both of the drugs have been applied with 0.3 mg/kg dose for each of the sample population to understand hypertension crisis. All the demographic, postoperative and preoperative variables have been discussed promptly for acquiring proper knowledge. Results: The result has shown that Calcium channel blockers are better to treat pulmonary hypertension than Sildenafil by delivering no side effects on patients. On the other hand, therapeutic value of Calcium channel blockers is greater than Sildenafil and it helps to act at a limit for blood pressure lowering. In addition, a potential correlation between heart failure, pulmonary hypertension and medical management has been determined. Conclusion and discussion: This study concludes that pulmonary hypertension crisis has been reduced potentially by applying Calcium channel blockers as well as Sildenafil. However, lack of accumulation of calcium in blood vessel is a more suitable approach than applying strong Viagra component named Sildenafil.
A Review Paper on Comparative Study of Different Level Shifted Multicarrier PWM Techniques Implemented on a 15 Level Asymmetric H-Bridge Multilevel Inverter

For medium voltage and high-power application generally, multilevel inverter is used as an energy conversion device. Advantages of multilevel inverter are lower switching losses, total harmonic distortion, less voltage stress on switches than conventional inverter. This review paper presents a comparative study of performance parameters when different level shifted multicarrier Pulse Width Modulation (PWM) techniques are implemented on a 15-level asymmetric H-bridge multilevel inverter using a topology having less number of switches with different loading conditions. Three modulation techniques have been used here. The techniques used are PD-PWM, POD-PWM, and APOD-PWM. Here R, R-L and IM loads are used. The operation is simulated in MATLAB SIMULINK. The FFT analysis of the three modulation techniques used has been done when implemented on different loads and their respective THD data has been tabulated.
A comprehensive study on image segmentation

With the evolution of computing, there is an acceleration in the use of image processing techniques in various applications, image segmentation, a procedure in which images are divided into many segments and with this, it’s possible to identify the region of interest from an image. The main idea of this comprehensive study is to present various existing segmentation techniques
Cuboid-based Wireless Sensor Network Localization Algorithm

Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints on cost and power consumption make it infeasible to equip each sensor node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown nodes is to use anchor nodes, which are equipped with GPS units among unknown nodes and broadcast their current locations to help nearby unknown nodes with localization. In this paper we can proposed a novel algorithm of cuboid localization with the help of central point precision method. Simulation shows that the results are far better then existing cuboid methods and gain accuracy of up to 83% with a localization error of 1.6m and standard deviation of 2.7.
A FRAMEWORK FOR QUERY RECOMMENDATION ON LOCATION-BASED QUERIES

: Existing keyword insinuation techniques don't ponder about the locations from the users and also the query ensue i.e., the spatial oppressiveness of the user towards the retrieved results isn't taken preference a water in the recommendations. We advise a weighted keyword-document chart, which captures both semantic applicability between keyword queries and also the spatial distance between your resulting dogma and also the user place. We design the very first ever Location-aware Keyword Query Suggestion framework, for suggestions highly r elevant to the user’s message needs which recover germane dogma well - nigh to the query issuer’s location. Our prompt LKS framework is orthogonal to and could be conveniently integrated out of all complaint techniques that make use of the query-URL bipartite chart. That LKS hold a different goal and for that reason is distinct from other location-sensitive recommendation methods. The very first blame in our LKS framework is how you can thoroughly measure keyword query similarity while recording the spatial restraint factor. To insure this affirmation, we conducted experience second-hand two denser versions in our datasets the close America online-D. Particularly, the outcross method outperforms other approaches since it uses both spatial and textual constituent throughout the ink propagation process, and therefore soothsay better the moving the ink may have a tendency to proceed and cluster, achieving better partitioning. Set up a baseline formula amplify from formula BCA is brought to solve the issue. Then, we allude to a partition-supported formula which figure the lots of the candidate keyword question in the partition straightforward and found on an inert clockwork to succour reduce the computational cost.
Mesenchymal stem cell-derived exosome miR-21-3p prevents renal fibrosis

Background: Renal fibrosis is the pathological result of excessive deposition of extracellular matrix (ECM) in the process of chronic kidney disease, but its mechanism is not clear. Mesenchymal stem cells (MSCs) exerts its therapeutic effect mainly through paracrine effects, such as exosome, to change the cellular microenvironment. Here, we explore the function of exosome derived MSCs in renal fibrosis.Methods: UUO model was constructed to simulate renal fibrosis in mice. Heat map and RT-PCR were used to explore the differential expression of miRNAs. RT-PCR and western blot were performed to detect the expression levels of fibrosis-associated genes and proteins in vivo and vitro. Transmission electron microscope and particle size detection were used to confirm the exosome construct. Then we forced expression of miR-21-3p in MSCs and isolated the exosomes. Then the fibrosis-associated genes and proteins were explored after exosomes injection.Results: In this study, we observed that exogenous miR-21-3p, interacted with smad2, the downstream target of miR-21-3p, which prevented renal fibrosis in UUO mice, and alleviate fibrosis in TGF-β1-induced renal tubular epithelium cells (HK-2). The extractive exosome-miR-21-3p treatment blocked renal fibrosis in UUO mice and alleviated fibrosis in TGF-β1-induced HK-2 cells and renal fibrosis mice. Conclusion: Taken together, Overexpression of miR-21-3p prevented CKD-induced renal fibrosis via exosome-mediated miR-21-3p transfer. These results suggest possible therapeutic strategies for using exosome delivery of miR-21-3p to treat complications of CKD.
Correlation of tests used in Comprehensive Geriatric Assessment. Systematic Review

Comprehensive Geriatric Assessment (CGA) has been used in clinics for almost 100 years. It includes holistic approach to patients examination. In this systematic review we analyzed results of tests used in CGA and correlation of results. Moreover, we underlined some issues concerning homogeneity of tests used in CGA as well as scientific validity of some of its tools. Results of prospective studies show that some of results of examination used in CGA are good predictors of functioning in another health domain in next years. Systolic blood pressure as well as BMI could be good predictors for neuropsychological functioning, however results are equivocal. very the widely available for patients.
Why do People Seek Shopping Recommendations in Social Commerce Sites?

Understanding why people seek shopping recommendations from others on social commerce sites can help managers design strategies to encourage users’ engagement of social commerce. The purpose of this study is to examine the determinants of customers’ intention to seek shopping recommendations on social commerce sites. Drawing upon the theories of social capital and behavioral intention, a research model was developed by incorporating perceived helpfulness, perceived trustworthiness, and subjective norm to predict users’ intention to seek shopping recommendations in the future. The model was empirically evaluated via SEM analysis using survey data collected from 204 subjects. The results reveal that perceived usefulness, subjective norm, and perceived trustworthiness can directly or indirectly influence behavioral intention. The implications of this study on theory and practice are discussed.
Modulus of continuity of a class of monofractal processes

We derive the modulus of continuity of a class of processes called Canonical Embedded Branching Processes (CEBP), recently introduced by Decrouez and Jones, and we establish their monofractal character. CEBP provide a rich class of processes, including the Brownian motion as a particular case. The techniques developed in this study follow the steps of Barlow and Perkins on Brownian motion on a Sierpinski gasket, though complications arise here since CEBP are not Markovian in general.
Twitter'ıntweet'lerinegöre COVID-19

There has been a huge amount of data generated every day primarily on social media. Analyzing this data may allow us to know the masses' opinion about the different states of affairs. This paper performs sentiment analysis of tweets of the people about COVID 19. The sentiment analysis is the process of determining the emotional state of a person at the time of tweeting or giving its opinion by any means. COVID 19 has impacted the society and the whole world in various ways. A number of people have become jobless, several companies have gone bankrupt and different countries have faced severe economic crisis. Loss of lives of millions of people have been observed. At the same time, a large number of people were diagnosed with COVID 19 who later on recovered. Billions of people got affected because of the economic and social impact. A number of positive aspects were also observed related to COVID. For instance, the environmental pollution was reduced in several industrial cities in the world. Death rates due to other causes are also reduced. Crime rates in various parts of the world are also found to be reduced. It is therefore essential to determine what people think about this pandemic. Since World Health Organization (WHO) declared coronavirus ( COVID-19) as a global pandemic, governments have imposed strict lockdowns to contain the virus, whereas people are using social media (such as Twitter) to express their opinions about this pandemic and government’s decisions. This precious data can be used for sentiment analysis that can help the health professionals, government and policymakers to make further decisions based on the people's sentiments. These sentiments can be obtained via twitter tweets' text, which can be classified into positive, negative and neutral polarity. This research provides sentiment analysis of the public in response to the COVID-19. Twitter tweets data are used for the analysis. The analysis was done using python along with several libraries.Graphs were generated to visualize the sentiments and gain insights. Specifically, the tweets of the people were classified as positive, negative or neutral, and a sentiment score is assigned. Then, word clouds and other visualizations were used to gain insights of the data.
Studies with a cloned Escherichia coli C 2-oxo-hept-3-ene-1,7-dioate hydratase gene

A cloned gene specifying the 2-oxo-hept-3-ene1,7-dioate (OHED) hydratase of Escherichia coli C was Used to produce large amounts of the hydratase enzyme. The enzyme was purified to homogeneity by a simple two-step procedure and some of its properties investigated. The first 34 residues at the amino terminus were sequenced and a mixture of oligonucleotides corresponding to the first six amino acid residues was constructed. This mixture was used as a probe to look for sequence homology in D N A obtained from various related organisms that had O H E D hydratase activity. Strong hybridization was seen for E. coli strains B and C but E. coli strain W and Klebsiella pneumoniae M5al showed no detectable hybridization. 2. I N T R O D U C T I O N
A Bibliometric Analysis of Distributed Incremental Clustering on A Bibliometric Analysis of Distributed Incremental Clustering on Images Images

Unstructured information is continuously irregular and streaming information from such a sequence is tedious because it lacks labels and accumulates with time. This is possible using Incremental Clustering algorithms that use previously learned information to accommodate new data and avoid retraining. This paper therefore seeks to understand the status of "Distributed Incremental Clustering" on images with text and numerical values, its limitations, scope, and other details to devise a better algorithm in future. To further enhance the analysis, we have also included methodology, which can be used to perform clustering on images or documents based on its content.
Conjugated Linoleic Acid Is Synthesized Endogenously in Lactating Dairy Cows by D 9 -Desaturase 1,2

Conjugated linoleic acid (CLA) is a naturally occurring anticarcinogen found in milk fat and body fat of ruminants. Although CLA is an intermediate in ruminal biohydrogenation of linoleic acid, we hypothesized that its primary source was from endogenous synthesis. This would involve D 9 -desaturase and synthesis from trans -11 18:1, another intermediate in ruminal biohydrogenation. Our ﬁrst experiment supplied lactating cows ( n 5 3) with trans -11 18:1 by abomasal infusion and examined the potential for endogenous synthesis by measuring changes in milk fat CLA. By d 3, infusion of trans -11 18:1 resulted in a 31% increase in concentration of cis -9, trans -11 CLA in milk fat, demonstrating that an active pathway for endogenous synthesis of CLA exists. Our second experiment examined the quantitative importance of endogenous synthesis of CLA in lactating cows ( n 5 3) by abomasally infusing a putative stimulator (retinol palmitate) or an inhibitor (sterculic oil) of D 9 -desaturase. Infusion of retinol palmitate had no inﬂuence on milk fatty acid desaturation, and yield of CLA in milk fat was not altered. However, sterculic oil infusion decreased the concentration of CLA in milk fat by 45%. Consistent with D 9 -desaturase inhibition, the sterculic oil treatment also altered the milk fat concentration of other D 9 -desaturase products as indicated by the two- to threefold increase in the ratios of 14:0 to 14:1 , 16:0 to 16:1 and 18:0 to cis -18:1. Using changes in the ratio of 14:0 to 14:1 as an indication of the extent of D 9 -desaturase inhibition with the sterculic oil treatment, an estimated 64% of the CLA in milk fat was of endogenous origin. Overall, results demonstrate that endogenous synthesis of CLA from trans -11 18:1 represented the primary source of CLA in milk fat of lactating cows. J. Nutr. 130: 2285–2291, 2000.