Miracle-dz/UniFAR-FTUs huggingface dataset:
Tropospheric Water Vapor Long‐term Periodicities and ENSO Relation in European Territory of Russia

The variability of time series of the surface partial pressure of water vapor for the European territory of Russia over a long period has been studied. It has been established that the contribution of fluctuations with time scales from 2 to 6 years is from 35% to 60% of the interannual variance. It can be concluded that the El Niño‐Southern Oscillation makes a significant contribution to the interannual variability of moisture content in the European territory of Russia. Several modes of coherent variations in the range of 2–6 years have been established. However, the coherence of variations of ENSO and the surface partial pressure of water vapor are irregular. It is shown that during periods of coherence, the energy of oscillations of ENSO is transferred from the equator to the middle and polar latitudes in the troposphere and the lower stratosphere. Planetary waves play a significant role in the mechanism of ENSO energy transfer. Their energy begins to in the winter year of El Niño, and the maximum is reached after a year.
Perception of Domestic Garuda Frequent Flyer Cardholders Toward Customer Relationship Management at PT. Garuda Indonesia Denpasar

Customer Relationship Management is a management strategy approach in an effort to create, develop, and realize mutually beneficial relationships with customers in the long term, especially to potential customers, in an effort to maximize customer value and customer profitability. Customer Relationship Management concentrates on three main things: Acquire, Enhance, and Retain. This study discusses Garuda's Frequent Flyer of cardholders toward customer relationship management at PT. Garuda Indonesia Denpasar. Respondents are the population in GFF registered at the company, which are 100 respondents. Using likert scale, each variable is performed and then the average score for each question will be calculated.
A Review of Big Data Applications in Urban Transit Systems

Operations, management and planning of urban transit systems have evolved substantially since the application of transit data collection technologies, such as, automated fare collection (AFC), Global Position System (GPS), smartphones and face identification. A diversity of detailed sensor data in urban transit systems are being used as fundamental data sources to observe passenger travel behavior, reschedule operation plans and adjust policy decisions from the daily operations to the long-term network planning. This review aims to summarize and analyze those related challenges and data-driven applications. Firstly, we review the data collecting technologies since the late 1990s by classifying the various technologies into two groups: traditional technologies and advanced technologies. A vast body of literature has been developed in this area given the wide range of problems addressed under the transit data label. A summary diagram is proposed to demonstrate the transit data applications and research topics. The data applications are classified into three branches: passenger behavior, operation optimization, and policy application. For each branch, the hot research direction and dimension shown as sub-branches are represented by reviewing the highly cited and the latest literature. As a result, this article discussed the concept and characteristics of transit data and its collection technologies, and further summarized the methodology and potential for each transit data application and suggested a few promising implications for future efforts.
Sequence learning in a single trial: a spiking neurons model based on hippocampal circuitry

In contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our knowledge, is not possible with abstract network implementations. By directly following the natural system’s layout and circuitry, this type of implementation has the additional advantage that the results can be more easily compared to experimental data, allowing a deeper and more direct understanding of the mechanisms underlying cognitive functions and dysfunctions, and opening the way to a new generation of learning architectures.
Refinement of protein structure via contact based potentials in replica exchange simulations

Proteins are complex biomolecules which perform critical tasks in living organisms. Knowledge of a protein’s structure is essential for understanding its physiological function in detail. Despite the incredible progress in experimental techniques, protein structure determination is still expensive, time-consuming, and arduous. That is why computer simulations are often used to complement or interpret experimental data. Here, we explore how in silico protein structure determination based on replica exchange molecular dynamics can benefit from including contact information derived from theoretical and experimental sources, such as direct coupling analysis or NMR spectroscopy. To reflect the influence from erroneous and noisy data we probe how false-positive contacts influence the simulated ensemble. Specifically, we integrate varying numbers of randomly selected native and non-native contacts and explore how such a bias can guide simulations towards the native state. We investigate the number of contacts needed for a significant enrichment of native-like conformations and show the capabilities and limitations of this method. Adhering to a threshold of approximately 75% true-positive contacts within a simulation, we obtain an ensemble with native-like conformations of high quality. We find that contact-guided REX MD is capable of delivering physically reasonable models of a protein’s structure. Author summary Protein structure prediction, that is obtaining a protein structure starting from a sequence using any computational method, is a great challenge. Over the past years a broad variety of methods evolved, ranging from algorithms for “blind” or de novo predictions using Monte-Carlo or physics-based biomolecular simulation methods to algorithms transferring structure information obtained from known homologous proteins. Recently, purely data-driven approaches using neural networks have shown to be capable of predicting high-quality structures. However, some local structural motifs are only poorly resolved and need further refinement. Here, we explore to what extent contact information helps guiding replica exchange molecular dynamics towards the native fold. By adding a contact pair bias potential to the energy function, we effectively guide the search towards the target structure by narrowing the conformational space to be sampled. We find that such an energetic bias, even if containing false-positive contacts to a certain extent, greatly enhances the refinement process and improves the chance of finding the native state in a single run.
A Bi-Level Corrective Line Switching Model for Urban Power Grid Congestion Mitigation

The fast urbanization process in developing countries creates an electricity load surge that poses serious congestion problems to the urban power grid (UPG). The current practice of system operators is to reconfigure the topological structure of the 110-kV high voltage distribution network (HVDN) in an attempt to adjust the load distribution and eliminate the UPG congestion. However, HVDN reconfiguration is a large scale, non-convex and non-linear optimization problem that is intractable to be solved in an efficient manner. In order to reduce the computing cost and overcome the difficulty in the solving process, new partition rules are proposed to divide the HVDN into multiple smaller regions. The topological structure of each region can be optimized either independently or interdependently based on the condition of the UPG. The solving process is modeled as a bi-level iterative line switching problem. At the upper level, the operational boundary (OB) of each regional HVDN is calculated based on a set of convex ACOPF constraints. At the lower level, the line switching scheme of each regional HVDN is derived based on the corresponding mixed integer second-order cone programming (MISOCP) model considering the OB. Then, the line switching result is examined by the AC power flow to identify whether there is any violation or not. This iterative process continues until all the violations are corrected in the UPG. The proposed method was validated by a modified IEEE 58-node test system and a practical 157-node UPG system. The simulation results showed that the proposed method is able to achieve a higher computational efficiency than the traditional method so it is promising for online applications.
Recognising Human-Object Interactions Using Attention-based LSTMs

Recognising Human-object interactions (HOIs) in videos is a challenge task especially when a human can interact with multiple objects. This paper attempts to solve the problem of HOIs by proposing a hierarchical framework that analyzes human-object interactions from a video sequence. The framework consists of LSTMs that firstly capture both human motion and temporal object information independently, followed by fusing these information through a bilinear layer to aggregate human-object features, which are then fed to a global deep LSTM to learn high-level information of HOIs. The proposed approach applies an attention mechanism to LSTMs in order to focus on important parts of human and object temporal information.
Alleviation of Stress induced Hypertension with help of Homoeopathy

This study has been undertaken to check effectiveness of Homoeopathy in Stress induced Hypertension. In this fast paced life, most of us are exposed to stress of variable amount. The degree of stress depends upon the individual response and factors like quality of interpersonal relationships, physical health, personal and social responsibilities, expectations from us on various levels, number of traumatic events in our life etc. All these factors determines our response to stress. The individual’s response to stress varies from person to person depending on resilience level of an individual. Chronic stress exhibits itself in form of psychological or physical manifestations some of which can be life threatening which can lead to early death, incidence of which is increasing day by day. In this paper a study of 15 cases of post stress Hypertension were treated with Homoeopathy to check effectiveness of Homoeopathic treatment in such cases which are becoming more prevalent among millennials. Various techniques to measure hypertension and subsequent organ damage especially cardiac disorders like lipid profile, ECG, angiography, renal function test, MRI, etc. are also available. Different techniques of alleviating stress like BFB, NFB are being implemented. Above mentioned measures as well as the commonly used treatment options like Angioplasty, renal dialysis etc might not be available easily or financially affordable to everyone. In recent years, incidences of stress generated Hypertension are increasing significantly. Among various manifestations of stress, Hypertension is one of the most common issues. Hence the cases of stress induced hypertension were considered for study so as to enable easy, effective and affordable treatment of such disorder. Homoeopathic treatment can achieve this as it focuses on individualization considering each patient as a separate individual. Individualization in Homoeopathy aims at capturing a person’s individuality and then a Homoeopathic remedy is chosen based on symptom similarity. In post stress physical ailments, the consideration of individuality becomes an asset of utmost importance. After this study it was found that Homoeopathy not only relieved patient’s post stress hypertension, but also helped patient develop positive mindset towards handling stress. Out of 15 patients 12 patients improved tremendously. 3 patients could not complete the treatment due to personal reasons. Among 12 patients’ symptom of hypertension relieved and development of resilience was also observed. Hence it was proven effective to administer homoeopathic medicine in stress induced disorders. In addition to therapeutic measure, certain resilience developing measures can add in faster recovery of patient.
Defective heart chamber growth and myofibrillogenesis after knockout of adprhl1 gene function by targeted disruption of the ancestral catalytic active site

ADP-ribosylhydrolase-like 1 (Adprhl1) is a pseudoenzyme expressed in the developing heart myocardium of all vertebrates. In the amphibian Xenopus laevis, knockdown of the two cardiac Adprhl1 protein species (40 and 23 kDa) causes failure of chamber outgrowth but this has only been demonstrated using antisense morpholinos that interfere with RNA-splicing. Transgenic production of 40 kDa Adprhl1 provides only part rescue of these defects. CRISPR/Cas9 technology now enables targeted mutation of the adprhl1 gene in G0-generation embryos with routine cleavage of all alleles. Testing multiple gRNAs distributed across the locus reveals exonic locations that encode critical amino acids for Adprhl1 function. The gRNA recording the highest frequency of a specific ventricle outgrowth phenotype directs Cas9 cleavage of an exon 6 sequence, where microhomology mediated end-joining biases subsequent DNA repairs towards three small in-frame deletions. Mutant alleles encode discrete loss of 1, 3 or 4 amino acids from a di-arginine (Arg271-Arg272) containing peptide loop at the centre of the ancestral ADP-ribosylhydrolase site. Thus despite lacking catalytic activity, it is the modified (adenosine-ribose) substrate binding cleft of Adprhl1 that fulfils an essential role during heart formation. Mutation results in striking loss of myofibril assembly in ventricle cardiomyocytes. The defects suggest Adprhl1 participation from the earliest stage of cardiac myofibrillogenesis and are consistent with previous MO results and Adprhl1 protein localization to actin filament Z-disc boundaries. A single nucleotide change to the gRNA sequence renders it inactive. Mice lacking Adprhl1 exons 3-4 are normal but production of the smaller ADPRHL1 species is unaffected, providing further evidence that cardiac activity is concentrated at the C-terminal protein portion. Highlights Comparison of adprhl1 morpholinos. Knockdown of the two Xenopus cardiac Adprhl1 protein species (40 and 23 kDa) causes failure of ventricle outgrowth. CRISPR/Cas9 targeted gene mutation of adprhl1 with multiple gRNAs reveals exonic locations that encode critical amino acids for Adprhl1 function. Repair of DSBs at exon 6 yields small in-frame deletions that cause specific ventricle myofibril assembly defects. The deletions disturb a conserved di-arginine containing peptide loop at the centre of the ancestral substrate binding cleft/ADP-ribosylhydrolase site of this pseudoenzyme. Mice lacking Adprhl1 exons 3-4 are normal but production of the smaller ADPRHL1 species is unaffected, providing further evidence that cardiac activity is concentrated at the C-terminal protein portion.
Med fokus på ord, uttryck och språklig stil

I denna studie utforskas ett litteraturarbete som involverar en larare och en grupp andraspraksinlarare inom grundlaggande vuxenutbildning. Den aktuella kursen ar Svenska som andrasprak Delkurs 3. Syftet med studien ar att utforska och synliggora de litteracitetspraktiker som erbjuds under moment som fokuserar pa romanens sprak. Materialet grundar sig pa observationer, ljudinspelningar och insamlat laromaterial. Analysen vilar primart pa Luke och Freebodys litteracitetspraktiker, Langers teori om textrorlighet samt Bernsteins utbildningssociologiska teori. I analysen betraktas litteraturarbetet som samspelande litteracitetspraktiker, dar arbetet med romanens sprak utgor en sarskild textanvandningspraktik. Resultatet visar att lararen i diskussioner kring ord, uttryck och spraklig stil for uppmarksamheten till de centrala karaktarernas egenskaper och utveckling genom romanen. Detta medfor att textanvandningspraktiken samspelar med en betydelseskapande praktik, dar de betydelser som utforskas i interaktionen overskrider betydelsen av de enskilda ord och uttryck som valjs ut och diskuteras. Detta kan tillmatas viktiga stottande egenskaper i en undervisningsgrupp dar majoriteten av eleverna skulle ha svart att forsta romanen pa egen hand. I artikeln diskuteras aven hur fokuset pa romanens sprak oppnar upp for en textanalytisk litteracitetspraktik.
Open-Source ANSS Quake Monitoring System Software

ANSS stands for the Advanced National Seismic System of the U.S.A. , and ANSS Quake Monitoring System (AQMS) is the earthquake management system (EMS) that most of its member regional seismic networks (RSNs) use. AQMS is based on Earthworm, but instead of storing files on disk, it uses a relational database with replication capability to store pick, amplitude, waveform, and event parameters. The replicated database and other features of AQMS make it a fully redundant system. A graphical user interface written in Java, Jiggle, is used to review automatically generated picks and event solutions, relocate events, and recalculate magnitudes. Add-on mechanisms to produce various postearthquake products such as ShakeMaps and focal mechanisms are available as well. It provides a configurable automatic alarming and notification system. The Pacific Northwest Seismic Network, one of the Tier 1 ANSS RSNs, has modified AQMS to be compatible with a freely available, capable, open-source database system, PostgreSQL, and is running this version successfully in production. The AQMS Software Working Group has moved the software from a subversion repository server hosted at the California Institute of Technology to a public repository at gitlab.com. The drawback of AQMS as a whole is that it is complex to fully configure and comprehend. Nevertheless, the fact that it is very capable, documented, and now free to use, might make it an attractive EMS choice for many seismic networks.
Chemical Characteristics, Motivation and Strategies in choice of Materials used as Liver Phantom: A Literature Review

Liver phantoms have been developed as an alternative to human tissue and have been used for different purposes. In this article, the items used for liver phantoms fabrication are mentioned same as in the previous literature reviews. Summary and characteristics of these materials are presented. The main factors that need to be available in the materials used for fabrication in computed tomography, ultrasound, magnetic resonance imaging, and nuclear medicine were analyzed. Finally, the discussion focuses on some purposes and aims of the liver phantom fabrication for use in several areas such as training, diagnoses of different diseases, and treatment planning for therapeutic strategies – for example, in selective internal radiation therapy, stereotactic body radiation therapy, laser-induced thermotherapy, radiofrequency ablation, and microwave coagulation therapy. It was found that different liver substitutes can be developed to fulfill the different requirements.
Estado nutricional antropométrico e associação com pressão arterial em crianças e adolescentes: um estudo populacional

DOI: 10.15448/1980-6108.2017. 1.25592 Aims: To evaluate the nutritional status of children and adolescents by anthropometric indicators and to evaluate the association of these results with blood pressure. Methods: Children and adolescents between four and 19 years of age from rural and urban schools of a municipality of Rio Grande do Sul were included in this study. Those who refused (or whose parents refused) to participate or did not sign the consent form, or in whom it was not possible to carry out the anthropometric or blood pressure measurements, were excluded. Weight, height, waist circumference, skin folds and blood pressure were measured, and the body mass index was calculated. Data were described by mean, standard deviation, amplitude of variation, absolute and relative frequencies. Stratification by gender, body mass index and central obesity was performed to analyze the influence of these on the other variables. Pearson's Chi-square was used to evaluate the associations. The level of significance was p<0.05. Results: At the time of data collection, 7,082 children and adolescents within the age group were enrolled in the municipal schools, and they were invited to participate. After applying the exclusion criteria, 5,936 children/adolescents were included in the study. The sample presented prevalence of overweight of 30.3%, central obesity 31.1% and excess body fat 8.7%. Overweight was higher in children from private schools (44.1%) than in state schools (29.5%) and municipal schools (29.9%) (p<0.001). There were statistically significant associations of high blood pressure with overweight, obesity, and central obesity (p<0.001). Conclusions: Prevalence of overweight was high and hypertension was associated with overweight, obesity and central obesity in children and adolescents of the studied population.
Victimisation from Three Types of Intimate Partner Aggression and Mental Health Concomitants Among Women in Pakistan

The aim of the study was to compare associations between three types of female victimization from intimate partner aggression (IPA) and their mental health concomitants. A questionnaire was completed by 569 relatively well-educated women in Pakistan (97.3% had at least a Bachelor’s degree). The mean age was 31.4 years ( SD 9.1), and the age range was between 18 and 70 years. The questionnaire included scales for measuring victimization from physical aggression, verbal aggression, and indirect aggressive social manipulation perpetrated by the husband against the wife, and four subscales from the Brief Symptom Inventory (BSI): depression, anxiety, obsessive-compulsive symptoms, and somatization. Victimization from verbal aggression was the most common type, followed by indirect aggression, while physical aggression was the least common. All three types of IPA were significantly associated with all four BSI subscales and most strongly with indirect aggression, while physical aggression showed the weakest associations. Keywords: Intimate partner aggression, physical, verbal, indirect, mental health, Pakistan