Miracle-dz/UniFAR-FTUs huggingface dataset:
Segmentation of Atrial Electrical Activity in Intracardiac Electrograms (IECGs) Using Convolutional Neural Network (CNN) Trained on Small Imbalanced Dataset

Timing pattern of intracardiac atrial activity recorded by multipolar catheter in the coronary sinus (CS) provides insightful information about the type and approximate origin of common non-complex arrhythmias. Depending on the anatomy of the CS, the atrial activity can be substantially disturbed by ventricular far field complex preventing accurate segmentation by convential methods. In this paper, we present small clinically validated database of 326 surface 12-lead and intracardiac electrograms (ECG and IEGs) and a simple deep learning framework for semantic beat-to-beat segmentation of atrial activity in CS recordings. The model is based on a residual convolutional neural network (CNN) combined with pyramidal upsampling decoder. It is capable to recognize well between atrial and ventricular signals recorded by decapolar CS catheter in multiple arrhythmic scenarios reaching dice score of 0.875 on evaluation dataset. To address a dataset size and imbalance issues, we have adopted several preprocessing and learning techniques with adequate evaluation of its impact on the model performance.
METODE QUANTUM LEARNING BERBANTUKAN GOOGLE CLASSROOM

Review text is one of text that contains the assesment of an artworks. The purpose of this research is to identify the text structure of review text (interpretation, orientation, evaluation and summary) which has been written by students. This research is a qualitative descriptive research with case study approach. Subject of this research consists of 16 students. Collecting data technique which is used are observation, test, interview and documentation.The result of research shows that the eighth grade students of SMP Katolik St. Louis Cepu are able to write review text in part of 1) orientation categorized good, 2)interpretation categorized good, 3) evaluation categorized good, 4) summary categorized good. The conclusion of this research is the usage of quantum learning method with google classroom is able to make students to write review text better.
Leucas zeylanica is a Bangladeshi plant with significant medicinal prospect: A review

Leucas zeylanica is one of the most precious gifts of nature to the entire civilization. It offers folkloric system a dependable option to heal numerous diseases like- burning urination, toothaches, common skin diseases, gout, inflammatory conditions, rheumatic diseases, abdominal pain, worms, anorexia, colic, flatulence, etc. Many of these ancient practices have got their scientific resemblances like- using as an agent for treating common pains, oxidative stresses, microbial infections, sleep disorders, inflammations, gout associated pains, thrombosis and sunlight related skin damages. Some researchers also isolated a huge bunch of vital phytochemicals like- torosaﬂavone A, drymariatin C, daidzein, luteolin 3′,4′-dimethyl ether, apigenin, tricin, chrysoeriol, linarigenin, β-sitosterol, stigmasterol, hexadecanoic acid, octadecanoic acid, 9,12,15- octadecatrienoic acid, farnesene, β-caryophyllene, caryophyllene oxide, phytol, β-cubebene, α-selinene, α-tocopherol etc. from different crude extracts of Leucas zeylanica. Making proper correlation between these phytoconstituents with the general utilizations of this plant will assist scientists to develop auspicious lead compounds. This review covers a summary of ethnomedicinal, phytochemical and biological studies of several crude preparations of Leucas zeylanica.
The oral film delivery- Application of nanotechnology and potential in medication adherence

The use of medicines is an irreplaceable necessity in healthcare delivery. Application of advancing technology, especially the oral film techniques in pharmaceutical production has resulted in medicine availability in a trendy, readily acceptable and usable form, oral films. Although many literature abound on oral film delivery systems, there is paucity of work on recent incorporation of nanotechnology concepts and the potentials of this delivery system in improving medication adherence. Thus this work focuses on bridging this obvious gap. It reviews published works on the oral film technology, profiling recent advances in the nanoparticles incorporated into films, and necessary considerations in such formulations. It also explores oral films as a delivery system for improved adherence. Online search for articles on oral films production, marketed nanoparticle-based oral films, and the extensiveness of medication non-adherence was carried out using websites of researchgate, google search, film manufacturer’s websites, google scholar and pubmed. Search terms used were ‘marketed oral films’, ‘available medicines as oral films’, ‘nanotechnology in oral film production’, ‘oral film techniques’, ‘oral films manufacture + disease condition’ and ‘medicine adherence’. Articles were sorted on the basis of currency and practicality of information. The market space of oral film is growing steadily. Present use of oral film technology in delivering antipsychotics, antihistamines and analgesics is well received. Many drugs are currently incorporated into films in nano-sized forms to improve dissolution, bioavailability and effectiveness as revealed by the search. More can be achieved if this technology is extended to cover other classes of drugs such as antihypertensives, antiulcers and agents indicated for other chronic conditions. Fully exploring the unique features of the conventional oral films dosage forms and those embedded with nanoparticulate drug forms, therein lies the potentials to contribute to significant improvement in medication adherence even in chronic conditions.
AUTOMOBILE COLLISION DEDUCTIBLES AND REPAIR COST GROUPS: THE LOGNORMAL MODEL

Ratemaking methodology in the field of auto physical damage insurance is still in the Stone Age. The peculiarities involved in auto physical damage have really never received the same rigorous scrutiny in actuarial literature that has been given liability,ratemaking techniques. The use of driver classification plans, territorial differentials, and other rating factors has been advanced to a remarkable level for physical damage coverages as well as liability. But the real sine qua non of a complete physical damage ratemaking procedure-the consideration of the physical characteristics of the vehicle itself-has always been shrouded in actuarial mystery, characterized by ritualistic rules of thumb, crude groupings of cars by left rear-window price stickers, and the absence of an earnest attempt to examine one of the most significant aspects of all physical damage ratemaking: the deductible.
Optical characterization of the deep-waters of the Gulf of Mexico by in situ PAR during summer

Phytoplankton is a sentinel group of organisms of climate change due to their capacity to respond to multiple stressors, so studies documenting the optimal optical conditions within the water column affecting their growth and production are imperative. As a contribution to this topic, this study report selected optical properties in deep-waters of the Gulf of Mexico by in situ measurements during summertime. A multidisciplinary research cruise was carried during August/September of 2018. A CTD instrument configured with underwater quantum and fluorescence sensors were used to acquire data of temperature, conductivity, depth, photosynthetically active radiation (PAR), and fluorescence of chlorophyll-a, which were used to determine selected optical coefficients, including the light extinction (k), the compensation light intensity (Ec), the compensation depth (Zc), the critical depth (Zcr), and the incident irradiance (E0). The Brunt-Väisälä frequency calculated from CTD data was used as a magnitude indicator of the water column stratification. The results showed a pycnocline located between 23 and 68 m depth, and favorable conditions for phytoplankton production with high values of E0 reaching 1523.4 μmol m-2 s-1, Ec values ranging from 3 to 8 μmol m-2 s-1, values of Zcr greater than Zc and maximum records of k values of 0.06. Based on multivariate statistical techniques, two zones were clearly defined. These results represent the first observational report on the optical properties in the deep region of the Gulf of Mexico. Studies on the ideal optical conditions for carrying out phytoplankton photosynthesis and their possible seasonal and interannual variability are essential to understand the processes that support the phytoplankton production, especially in regions that are characterized by their high biodiversity.
Effect of different concentrations and application time of vitamin B12 on antioxidant response of Physiophora alceae

Pharmaceutical waste and food contaminants have direct and indirect effects on quality of life and even ecosystem structure and function. The existence of the ecosystem concept leads to the interaction between living organisms and the environment, where the power distribution capacity can occur and influence the ecological concept such as the food chain, ecological pyramids and the food web. Physiophora alceae is present with vegetable residues and helps in their decomposition. The presence of a decomposing environment may lead to oxidative stress for the insect. There are plenty of exogenous antioxidants that are being used, especially Vitamin B12 to reduce oxidative stress and restore the balance between antioxidants and oxidants in the insect. In this study, the ability of P. alceae insects to be used as a bioremediation tool for drug and plant residues as well as to evaluate the use of vitamin B12 in adult P. alceae insects to reduce the physiological effects of oxidative stress markers on the insect was examined. Adult P. alceae insects were treated with commercial vitamin B12. The first group (250 insects) was treated with different concentrations (0.125, 0.25, 0.5, 1 μg/ml) of B12 for 6 hours and the second group (250 insects) was treated with 2 μg/ml of B12 for different periods of time (1, 2, 3, 4 hours). The results indicated that there was an almost identical trend between different times and B12 concentrations on the oxidative stress parameters examined, and the correlation factor between O2 and H2O2 showed a high positive correlation of 0.921. These results confirmed that treating insects with vitamin B12 increases their ability to reduce oxidative stress factors and increase the ability of insects to use them in biological treatment of drug and plant residues.
Applying growth hormone as an adjuvant to correct poor prognosis outcomes in IVF: Study 1 compares melatonin

This retrospective study examines the influence of recombinant growth hormone (rGH) and melatonin adjuvants on oocyte numbers, embryo utilization and live births arising from 3637 autologous IVF±ICSI treatment cycles undertaken on 2376 women across ten years (2011-2020) within a pioneer Australian facility. Despite using an FSH-dosing algorithm enabling maximal doses up to 450 IU for women with reduced ovarian reserve, younger women had significantly higher mean numbers of oocytes recovered than older women ranging from 11.1 for women <35 years to 9.4 for women aged 35-39 years reducing to 6.5 for women aged 40-44 years and 4.0 for those aged ≥45 years (p<0.0001). Overall, the embryo utilization rate was 48.5% and live birth productivity rate was 35.4 % across all ages and neither rGH nor melatonin showed any benefit on these rates, in fact, those women with nil adjuvants showed the highest live birth rate per initiated cycle (42.0% overall: p<0.0001, and 55.3% for the youngest group: p<0.001). Embryo utilization was increased marginally by rGH in those women aged 40-44 years who had high ovarian reserve (p<0.05), but this benefit did not translate into any improvement in the live birth rate. Similarly, other factors known to cause a poor prognosis, including low IGF-1 profile, recurrent implantation failure, and low oocyte numbers at OPU, showed no improvement in embryo utilization nor in live births from the adjuvants. The relevance of embryo quality was examined on 1135 women whose residual embryos after a single fresh-embryo transfer failed to develop to a suitable grade for cryopreservation. From 1727 cycles such women often displayed an improved embryo utilization rate with rGH, but not with melatonin. Even so, live birth rates were not improved by either of the adjuvants.
House Prices and Individual Perceptions of Terrorism in the Wake of September 11th

Using emails from fictitious potential rentors, Ahmed and Hammarstedt (2008) document that landlords are less likely to call back a rental applicant if the applicant’s sends a strong signal that he or she is a Muslim. This paper is interested in asking if homeowners were less willing to live next to individuals with ethnically Arab names in the wake of the September 11th attacks. Using Olympic rosters for 221 countries, we create a binomial classifier using a supervised learning algorithm that can assign names to country of origin in a probabilistic manner. Using this, we classify buyer and seller names in King County Assessor data as either Arab or non-Arab. After identifying homeowners in this manner, we estimate the effect of Arab homeowners on nearby property prices immediately before and immeidately after 9/11. Specifically, homeowners with Arab neighbors within 0.1 miles sold their properties at discounts between 1.6% to 2.1% within 180 days of 9/11; properties sold within 60 days of 9/11 were sold between 3.5% and 4.6%.
NDT_A_235562 651..663

1Good Clinical Practice Center, Affiliated Hospital of Zunyi Medical University, Zunyi 563003, Guizhou, People’s Republic of China; 2The Second School of Clinical Medicine, Zhuhai Campus of Zunyi Medical University, Zhuhai 519041, Guangdong, People’s Republic of China; 3Department of Anatomy, Zunyi Medical University, Zunyi 563000, Guizhou, People’s Republic of China; 4Department of Stomatology, The First People’s Hospital of Zunyi, Zunyi 563099, Guizhou, People’s Republic of China; 5Department of Hand Surgery, Department of Plastic Reconstructive Surgery, Ningbo No. 6 Hospital, Ningbo 315040, People’s Republic of China; 6School of Pharmacy and Medical Sciences, and UniSA Cancer Research Institute, University of South Australia, Adelaide, SA 5001, Australia
A system for translating natural language questions into SPARQL queries with neural networks: Preliminary results (Discussion Paper)

The development of knowledge bases has gathered nowadays large volumes of information concerning multiple domains. Unfortunately, access to this information is complicated for those users unfamiliar with the SPARQL query language and the knowledge base definition. In this paper, we present prelimi-nary results on a system for automatic translation of natural language questions into SPARQL queries. Our method uses Neural Machine Translation and Named Entity Recognition tasks that complement each other to obtain a final query ready to be executed. We demonstrate the potential of our approach by presenting its results on the Monument dataset, which is a recently released dataset for Question Answering on the well-known DBpedia knowledge base.
Development Strategy of Islamic Boarding Schools-based Waqf (Case Study: Islamic Boarding Schools of Daarut Tauhiid, Bandung)

Management of Waqf by individual collectors dominates Waqf management in Indonesia. However, since Waqf laws stated that The individual and an institution could manage Waqf, the opportunity to develop Waqf is more open for Waqf institutions. One of the established Waqf institutions is the Daarut Tauhiid Waqf institution. This study aims to identify and analyze existing strategies and generate development strategies for Islamic Boarding School-based Waqf. The research method used was descriptive qualitative by using Business Model Canvas (BMC), Strength Weakness Opportunity Threat (SWOT), and Analytical Network Process (ANP) approaches. The researchers conducted this study in Daarut Tauhiid Islamic Boarding School Bandung from November 2020 to March 2021. The respondents were practitioners, namely the director and staff of Daarut Tauhiid Waqf institution, regulators from the Ministry of Religion, and academics from universities in Bogor and Jakarta. Data were collected from in-depth interviews and questionnaires from respondents. The most important development strategy to be implemented in the Daarut Tauhiid Waqf institution is the development of human resources competency. Therefore, competent human resources can establish a trusted, professional, and trustworthy team managing Waqf-based Islamic boarding schools.
Multi-resolution shared representative filtering for real-time depth completion

We present shared representative filtering for real-time high-resolution depth completion with RGB-D sensors. Conventional filtering-based methods face a dilemma when the missing regions of the depth map are large. When the filter window is small, the filter fails to include enough samples. On the other hand, when the window is large, the method could oversmooth depth boundaries due to the error introduced by the extra samples. Our method adapts the filter kernels to the shape of the missing regions to collect a sufficient number of samples while avoiding oversmoothing. We collect depth samples by searching for a small set of similar pixels, which we call the representatives, using an efficient line search algorithm. We then combine the representatives using a joint bilateral weight. Experiments show that our method can filter a high-resolution depth map within a few milliseconds while outperforming previous filtering-based methods on both real-world and synthetic data in terms of both efficiency and accuracy, especially when dealing with large missing regions in depth maps.
S0033291720002044jra 1..10

Background. Subclinical psychotic-like experiences (PLE), resembling key symptoms of psychotic disorders, are common throughout the general population and possibly associated with psychosis risk. There is evidence that such symptoms are also associated with structural brain changes. Methods. In 672 healthy individuals, we assessed PLE and associated distress with the symptom-checklist-90R (SCL-90R) scales ‘schizotypal signs’ (STS) and ‘schizophrenia nuclear symptoms’ (SNS) and analysed associations with voxeland surfaced-based brain structural parameters derived from structural magnetic resonance imaging at 3 T with CAT12. Results. For SNS, we found a positive correlation with the volume in the left superior parietal lobule and the precuneus, and a negative correlation with the volume in the right inferior temporal gyrus [ p < 0.05 cluster-level Family Wise Error (FWE-corrected]. For STS, we found a negative correlation with the volume of the left and right precentral gyrus ( p < 0.05 clusterlevel FWE-corrected). Surface-based analyses did not detect any significant clusters with the chosen statistical threshold of p < 0.05. However, in exploratory analyses ( p < 0.001, uncorrected), we found a positive correlation of SNS with gyrification in the left insula and rostral middle frontal gyrus and of STS with the left precuneus and insula, as well as a negative correlation of STS with gyrification in the left temporal pole. Conclusions. Our results show that brain structures in areas implicated in schizophrenia are also related to PLE and its associated distress in healthy individuals. This pattern supports a dimensional model of the neural correlates of symptoms of the psychotic spectrum.
Personality dynamics

Traditionally, personality psychology has been understood as the study of stability in people’s dispositions. However, a different strand of personality research has highlighted the importance of acknowledging and explaining the meaningful intraindividual variation in human thoughts, feelings, and behavior across different contexts and time. The goal of this paper is to review this strand, highlight current research, and outline key questions for future research. We summarize historical perspectives on the dynamic processes underlying the emergence of personality within and across individuals (e.g. the pioneering theorizing of Allport; the person-situation debate), recent theoretical and empirical advances in incorporating dynamic processes into the definition and assessment of personality (e.g., the study of personality states; dynamic approaches to personality including Cognitive Affective Personality System [CAPS], Whole Trait Theory, the Knowledge-and-Appraisal Personality Architecture [KAPA] framework, and Nonlinear Interaction of Person and Situation [NIPS]), and new directions in current research (e.g. idiographic approaches; understanding variability in narrative identity). We end with suggestions for future research.
TECHSSN at HAHA @ IberLEF 2021: Humor Detection and Funniness Score Prediction using Deep Learning Techniques

This paper is a description of a system used to classify tweets in Spanish as humorous or not and rate the level of humor of each tweet. The sys-tem developed by the team TECHSSN uses binary classification techniques to classify the text as humor or not (subtask1) and ensemble learning regression model to rate the funniness score of the tweet (subtask2). The data undergoes preprocessing and is given to a modification of BERT [1] (Bidirectional Encoder Representations from Transformers) for the subtask1. The model is re-trained, and the weights are learned for the dataset provided. XGBoost ensemble model is used to predict the funniness score on the BERT output for subtask 2. These systems were developed for the HAHA subtasks for IberLEF2021.
Spontaneous Growth of 3D Framework Carbon from Sodium Citrate for High Energy‐ and Power‐Density and Long‐Life Sodium‐Ion Hybrid Capacitors

Carbon sheets with 3D architectures, large graphitic interlayer spacing, and high electrical conductivity are highly expected to be an ideal anode material for sodium‐ion hybrid capacitors (SIHCs). Pursuing a simple synthesis methodology and advancing it from the laboratory to industry is of great importance. In this study, a new approach is presented to prepare 3D framework carbon (3DFC) with the above integrated advantages by a direct calcination of sodium citrate without aid of any additional carbon source, template, or catalyst. The first‐principle calculations verify that the large interlayer spacing and the curvature structure of 3DFC facilitate the sodium ion insertion/extraction. As a consequence, the optimal 3DFC sample exhibits high reversible capacity as well as excellent rate and cycling performance. On this basis, a dual‐carbon SIHC is fabricated by employing 3DFC as battery‐type anode and 3DFC‐derived nanoporous carbon as capacitor‐type cathode. It is able to deliver high energy‐ and power‐density feature as well as outstanding long‐term cycling stability in the potential range of 0–4.0 V. This study may open an avenue for developing high‐performance carbon electrode materials and pushes the practical applications of SIHCs a decisive step forward.
Neutral beam injection for fusion reactors: technological constraints versus functional requirements

In this paper we look at the technological constraints of neutral beam injection (NBI) systems and compare them with the functional requirements that NBI has in the various envisaged plasma scenarios for tokamak fusion reactors of the DEMO and fusion power plant (FPP) class. We show in particular that there is an intermediate beam energy range in which beamlines are unattractive because of size. Furthermore, for scenarios that consider NBI only for ion heating during the ramp-up and heat-to-burn phase we show that the use of beam energies in the range of 100 to 200 keV, which could be produced from positive ion beams with a much simpler system, could be an attractive option that should be further investigated.