bluuebunny/crossref_metadata_2025_split huggingface dataset:
Statistical mechanics of integrable quantum spin systems
Authors: Göhmann Frank 
Published: August 2020

This script is based on the notes the author prepared to give a set
of six lectures at the Les Houches School ``Integrability
in Atomic and Condensed Matter Physics'' in the summer of 2018.
The responsibility for the selection of the material is partially
with the organisers, Jean-Sebastien Caux, Nikolai Kitanine,
Andreas Klümper and Robert Konik. The school had its focus on the
application of integrability based methods to problems in non-equilibrium
statistical mechanics. My lectures were meant to complement this
subject with background material on the equilibrium statistical mechanics
of quantum spin chains from a vertex model perspective. I was asked
to provide a minimal introduction to quantum spin systems including
notions like the reduced density matrix and correlation functions
of local observables. I was further asked to explain the graphical
language of vertex models and to introduce the concepts of the
Trotter decomposition and the quantum transfer matrix. This was
basically the contents of the first four lectures presented at the
school. In the remaining two lectures I started filling these notions
with life by deriving an integral representation of the free energy
per lattice site for the Heisenberg-Ising chain (alias XXZ model)
using techniques based on non-linear integral equations.Up to small corrections the following sections 1-6 display the six
lectures almost literally. The only major change is that the
example of the XXZ chain has been moved from section 5 to 2.
During the school it was not really necessary to introduce the model,
since other speakers had explained it before. But for these notes
I thought it might be useful to introduce the main example rather
early. I also supplemented each lecture with a comment section which
contains additional references and material of the type that was
discussed informally with the participants.
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
Authors: Liu Dianbo , Clemente Leonardo , Poirier Canelle , Ding Xiyu , Chinazzi Matteo , Davis Jessica , Vespignani Alessandro , Santillana Mauricio 
Published: August 2020

Background
The inherent difficulty of identifying and monitoring emerging outbreaks caused by novel pathogens can lead to their rapid spread; and if left unchecked, they may become major public health threats to the planet. The ongoing coronavirus disease (COVID-19) outbreak, which has infected over 2,300,000 individuals and caused over 150,000 deaths, is an example of one of these catastrophic events.

Objective
We present a timely and novel methodology that combines disease estimates from mechanistic models and digital traces, via interpretable machine learning methodologies, to reliably forecast COVID-19 activity in Chinese provinces in real time.

Methods
Our method uses the following as inputs: (a) official health reports, (b) COVID-19–related internet search activity, (c) news media activity, and (d) daily forecasts of COVID-19 activity from a metapopulation mechanistic model. Our machine learning methodology uses a clustering technique that enables the exploitation of geospatial synchronicities of COVID-19 activity across Chinese provinces and a data augmentation technique to deal with the small number of historical disease observations characteristic of emerging outbreaks.

Results
Our model is able to produce stable and accurate forecasts 2 days ahead of the current time and outperforms a collection of baseline models in 27 out of 32 Chinese provinces.

Conclusions
Our methodology could be easily extended to other geographies currently affected by COVID-19 to aid decision makers with monitoring and possibly prevention.
Keabsahan Akta PPAT Yang Tidak Ditandatangani Para Saksi (Studi Putusan PN. No.16/Pdt.G/2015/Pn.Krg)
Authors: Tjipto Valerio Xaverius 
Published: August 2020

ABSTRACT
PPAT Deed is an authentic deed in the case of certain legal actions, especially in the case of transfer of land rights from one party to another party. An authentic deed is a deed made by an authorized official for that, in the place where the deed was made and the format is in accordance with the provisions of the legislation in force. The authentic PPAT deed must be read in front of the parties, and signed by the witnesses and PPAT. The legal standing of witness in the PPAT authentic deed is as an instrument witness who witnessed and knew the making of the PPAT deed and also as evidence to strengthen the PPAT deed was made. If there is a legal problem with the PPAT deed, the instrumentair witness who signed the PPAT deed can be asked for information relating to the implementation of the PPAT deed, including information about the presence of the parties who signed the PPAT deed before the PPAT and the witnesses. The problem in this research is how the legal arrangement of witnesses in the PPAT deed, How is the legal effect on the PPAT deed whose signature was carried out in the presence of two witnesses and How is the legal analysis considered by the Panel of Judges in the Karanganyar District Court Decision No. 16 / Pdt.G / 2015 / PN.Krg.
This type of research is empirical juridical research, in which the approach to the problem is carried out by reviewing the implementation of PPAT obligations based on the applicable laws and regulations in this case are Articles 21 and 22, PP No. 24 of 2016 concerning amendments to PP No. 37 of 1998 concerning PPAT position regulations and this research was also supported by conducting direct interviews with 3 PPAT people whose working area was in Medan City.The results of the study stated that the legal arrangements regarding witnesses in the PPAT deed contained in Articles 21 and 22, PP No. 24 of 2016 concerning amendments to PP No. 37 of 1998 concerning PPAT position regulations, Article 18 paragraphs 3, 4 and 5 of the regulation of the State Minister for Agrarian Affairs / Head of the National Land Agency (BPN) Number 1 of 2006 concerning Provisions for Implementing Government Regulation Number 37 of 1998 concerning PPAT Position Regulations, Article 1895-1912 Civil Code in the description of the criteria for witnesses recognized in making the PPAT deed and Article 37 PP No. 24 of 1997 concerning land registration, the legal consequence of the PPAT deed which was signed before two witnesses was that the PPAT deed was degraded to a deed under the hand, because it contained a formal legal flaw and the legal analysis of the Judge Panel's consideration in the Karanganyar District Court Decision No. 16 / Pdt.G / 2015 / PN.Krg which states that the PPAT has committed acts against the law and the authentic deed has been degraded to a deed under the hand.Keywords: PPAT Law, PPAT Deed, and the Witness Position
Cartas autobiográficas de formação e profissão:
Authors: Barzano Marco Antonio Leandro 
Published: August 2020

As cartas têm sido utilizadas como dispositivo de pesquisa no campo da Educação e, para este artigo, são apresentadas duas cartas, com a centralidade na Educação Ambiental: a primeira, anuncia o passado, ou seja, a trajetória de formação e profissão de um pesquisador-extensionista de uma universidade pública baiana e que foi apresentada na sua promoção para professor pleno; a segunda é o registro para se lançar ao futuro, pois é uma carta escrita para uma criança de onze anos. A inspiração teórica e metodológica se dá a partir as narrativas (auto)biográficas, que tem possibilitado potencializar as narrativas epistolares como instrumento da produção textual e de conhecimento.
SSAAR: An enhanced System for Sentiment Analysis of Arabic Reviews
Authors: Manal Nejjari  , Abdelouafi Meziane  
Published: August 2020

Sentiment Analysis, or Opinion Mining, has recently captivated the interest of scientists worldwide. With the increasing use of the internet, the web is becoming overloaded by data that contains useful information, which can be used in different fields. In fact, many studies have shed light on Sentiment Analysis of online data in different languages. However, the amount of research dealing with the Arabic language is still limited. In this paper, an empirical study is led to Sentiment Analysis of online reviews written in Modern Standard Arabic. A new system called SSAAR (System for Sentiment Analysis of Arabic Reviews) is proposed, allowing computational classification of reviews into three classes (positive, negative, neutral). The input data of this system is built by using a proposed framework called SPPARF (Scraping and double Preprocessing Arabic Reviews Framework), which generates a structured and clean dataset. Moreover, the provided system experiments two improved approaches for sentiment classification based on supervised learning, which are: Double preprocessing method and Feature selection method. Both approaches are trained by using five algorithms (Naïve Bayes, stochastic gradient descent Classifier (SGD), Logistic Regression, K-Nearest Neighbors, and Random Forest) and compared later under the same conditions. The experimental results show that the feature selection method using the SGD Classifier performs the best accuracy (77.1%). Therefore, the SSAAR System proved to be efficient and gives better results when using the feature selection method; nevertheless, satisfying results were obtained with the other approach, considered consequently suitable for the proposed system.
Effects of Ketogenic Diet on Corneal Kindling Mouse Model
Authors: Andreeva-Gateva P. , Bakalov D. , Sabit Z. , Tenchov B. 
Published: August 2020

Abstract

Aim/objective: Corneal kindling mouse test is a model of decreasing the seizure threshold after repetitive subchronical electrical stimuli. Ketogenic diet (KD) is used for the treatment of children with pharmacoresistant epilepsy since more than 100 years. Surprisingly, very few studies testing the effect of the KD in corneal kindling test were published. The aim of this study was to evaluate the effect of the KD on the seizure activity in corneal kindling mouse model.

Methods: 50 adult male ICR mice (25-35 g) were randomly distributed in four groups, as follows: group 1 – standard diet (SD) treated controls (n = 10); group 2 – KD treated (n = 10), group 3 – kindled mice on SD treatment (n = 15); group 4 – kindled mice on KD treatment (n = 15). The diet was started at day one, one week before the start of the kindling and it continued for four weeks. At the end of the experiment, kindled mice were challenged with 6-Hz test and their behavior was assessed.

Results: In kindled mice on SD the seizure latency time significantly decreased at days 14, 21 and 28. Mice on KD displayed relatively constant seizure latency during the experiment. At day 28 the duration of provoked seizures was statistically higher as compared with mice on KD (median values 101 vs 2 sec, p < 0.05). Blood ketone levels were statistically higher (p < 0.05), and blood glucose level was statistically lower (p < 0.05) in the KD treated group, as compared with SD treated mice.

Conclusion: KD effectively suppressed the seizure activity in corneal kindling test. Further studies are needed for elucidating the molecular mechanisms which can explain this effect.
Solubility of Calcium Silicate Based Cements – a Comparative Study
Authors: Kouzmanova Y. , Dimitrova I. 
Published: August 2020

Abstract
Calcium silicate based cement is a group of biomaterials, based on Portland cement. Its physicochemical properties such as solubility are of the utmost importance. It should have low solubility in tissue fluid since the dissolution of materials may lead to treatment failure.

The aim of this study is to evaluate the solubility of five calcium silicate cements after being placed in distilled water for a period of 28 days.

Material and methods: The purpose of this study was to compare solubility of a four new calcium silicate-based cements, such as: gray MTA Angelus; white MTA Angelus; BioAggregate and Biodentine with conventional mineral trioxide aggregate White ProRoot. Solubility is evaluated using standardized samples of materials, which are weighed before and after 28-day immersion in distilled water.

Results: The lowest solubility is found at White ProRoot and the significantly highest solubility – at Biodentine.
Evaluation of phenolic contents and antioxidant activities of some medicinal plants growing in Algerian Aurès Mountains
Authors: Bouguerra Ali , Djebili Samah , Zouaoui Nassim , Barkat Malika 
Published: August 2020

Abstract
The objective of this study is to evaluate the antioxidant activities of six medicinal plants growing in Algerian Aurès Mountains. Total phenolic and flavonoids contents were measured using colorimetric methods, and the antioxidant capacities were evaluated using the DPPH radical scavenging and β-carotene bleaching tests. Juniperus phoenica L. had significantly the higher total phenolic compounds (53.6±3.86 mg GAE.g−1 DM) (p<0.05); followed by Romarinus officinalis L. (26.1±3.15 mg GAE.g−1 DM) and Artemisia campestris L. (20.5±1.99 mg GAE.g−1 DM). Artemisia campestris L. had significantly the higher flavonoid contents (11.1±0.56 mg QE.g−1 DM) than other studied plants (p<0.05). The best antiradical activity was observed in Thymus algeriensis extracts (EC50=11.1±0.33 µg.ml−1) and Romarinus officinalis L. (EC50=15.3±0.9 µg.ml−1). β-carotene bleaching test showed that the herbs’ phenolic compounds Antioxidant Activity (AA%) value was found in the range of 64-84%, whereas that of the standard antioxidant ascorbic acid was 51±2.4%. The present results indicate that medicinal plants from the Algerian Aurès mountains could be explored in food and pharmaceutical industries for development of natural’s antioxidant agents.
Developing Undergraduate Students’ Teaching Competences
Authors: Nagy Emese K. 
Published: August 2020

Abstract

Introduction:
The goal of this paper is to show how the undergraduate students are able to differentiate among learning-centered, learner-centered, feedback-centered and community-centered knowledge acquisitions. We wanted them to recognize which method is used by the teacher and how each method influences the primary school pupils’ knowledge acquisition.

Methods:
We chose the video analyzing technique to make the students recognize different learning organizational methods.

Results:
The results of the study suggest that the observation helped the undergraduate students understand the aims, tasks and techniques of teaching and organizing classroom work. They realized that this type of analysis helps them develop their own teaching strategies.

Discussion:
Drawing on the results it is not possible to be a “good teacher” without obtaining and continuously maintaining a high level of professional knowledge, whose important element might be the Complex Instruction method and the recognition of the knowledge acquisition methods in the classroom.

Limitations:
This study was limited to only undergraduate students who attended the study voluntarily. The sampling was confined to 46 participants.

Conclusion:
The students are able to spot the teacher’s activities that support pupils’ learning. They recognized the positive impact of generating debate among the pupils on the development of their skills.
Mouse dynamics based user recognition using deep learning
Authors: Antal Margit , Fejér Norbert 
Published: August 2020

Abstract
Behavioural biometrics provides an extra layer of security for user authentication mechanisms. Among behavioural biometrics, mouse dynamics provides a non-intrusive layer of security. In this paper we propose a novel convolutional neural network for extracting the features from the time series of users’ mouse movements. The effect of two preprocessing methods on the performance of the proposed architecture were evaluated. Different training types of the model, namely transfer learning and training from scratch, were investigated. Results for both authentication and identification systems are reported. The Balabit public data set was used for performance evaluation, however for transfer learning we used the DFL data set. Comprehensive experimental evaluations suggest that our model performed better than other deep learning models. In addition, transfer learning contributed to the better performance of both identification and authentication systems.
Modeling reactive magnetron sputtering: a survey of different modeling approaches
Authors: Madarász Rossi Róbert , Kelemen András , Kádár Péter 
Published: August 2020

Abstract
The paper focuses on providing an insight into the current state of computational modeling regarding reactive magnetron sputtering systems. A detailed compilation of developed models is gathered and grouped into categories based on the phenomena being modeled. The survey covers models developed for the analysis of magnetron discharges, particle-surface interactions at the target and the substrate, as well as macroscopic models. Corresponding software packages available online are also presented. After gaining the necessary insight into the current state of research, a list of the most challenging tasks is given, comparing diffierent approaches, that have been used to combat the encountered difficulties. The challenges associated with modeling tasks range from analytical complexity, mathematical know-how used for model approximation and reduction, as well as optimization between computational load and result accuracy. As a conclusion, the future challenges are compiled into a list and a probable direction in modeling is given, that is likely to be further pursued.
Assessing the effect size of users’ consciousness for computer networks vulnerability
Authors: Bognár László , Joós Antal , Nagy Bálint 
Published: August 2020

Abstract
In this paper the conditions and the findings of a simulation study is presented for assessing the effect size of users’ consciousness to the computer network vulnerability in risky cyber attack situations at a certain business. First a simple model is set up to classify the groups of users according to their skills and awareness then probabilities are assigned to each class describing the likelihood of committing dangerous reactions in case of a cyber attack. To quantify the level of network vulnerability a metric developed in a former work is used. This metric shows the approximate probability of an infection at a given business with well specified parameters according to its location, the type of the attack, the protections used at the business etc. The findings mirror back the expected tendencies namely if the number of conscious user is on the
Collatz conjecture revisited: an elementary generalization
Authors: Gutierrez Amauri 
Published: August 2020

Abstract
Collatz conjecture states that iterating the map that takes even natural number n to

n
2

{n \over 2}

and odd natural number n to 3n + 1, will eventually obtain 1. In this paper a new generalization of the Collatz conjecture is analyzed and some interesting results are obtained. Since Collatz conjecture can be seen as a particular case of the generalization introduced in this articule, several more general conjectures are also presented.
Restrained domination in signed graphs
Authors: Mathias Anisha Jean , Sangeetha V. , Acharya Mukti 
Published: August 2020

Abstract
A signed graph Σ is a graph with positive or negative signs attatched to each of its edges. A signed graph Σ is balanced if each of its cycles has an even number of negative edges. Restrained dominating set D in Σ is a restrained dominating set of its underlying graph where the subgraph induced by the edges across Σ[D : V \ D] and within V \ D is balanced. The set D having least cardinality is called minimum restrained dominating set and its cardinality is the restrained domination number of Σ denoted by γr(Σ). The ability to communicate rapidly within the network is an important application of domination in social networks. The main aim of this paper is to initiate a study on restrained domination in the realm of different classes of signed graphs.
On the gaps between q-binomial coefficients
Authors: Luca Florian , Manganye Sylvester 
Published: August 2020

Abstract
In this note, we estimate the distance between two q-nomial coefficients

(

k
n

)

q

-

(

k
′

n
′

)

q

{\left( {_k^n} \right)_q} - {\left( {_{k'}^{n'}} \right)_q}

, where (n, k) ≠ (n′, k′
) and q ≥ 2 is an integer.
Differentially expressed homologous genes reveal interspecies differences of Paragonimus proliferus based on transcriptome analysis
Authors: Li S. H. , Li S. D. , Li H. J. , Li J. Y. , Xu J. J. , Chang G. J. , Yang L. J. , Wang W. Q. , Zhang Y. L. , Ma Z. Q. , He S. M. , Wang W. L. , Huang H. L. 
Published: August 2020

Summary

Paragonimus proliferus (P. proliferus), one of 46 Paragonimus species registered in the National Center for Biotechnology Information database, may be much more widely distributed in Southeast Asia than previously thought, as its reported natural foci have increased in the past decades. However, very little is known about its molecular biology, especially at the transcriptome level. For the first time, the transcriptome of this species was sequenced and compared with four other common Paragonimus species, namely Paragonimus skrjabini, Paragonimus kellicotti, Paragonimus miyazakii, and Paragonimus westermani, to predict homologous genes and differentially expressed homologous genes to explore interspecies differences of Paragonimus proliferus.
A total of 7393 genes were found to be significantly differentially expressed. Of these, 49 were considered to be core genes because they were differentially expressed in all four comparison groups. Annotations revealed that these genes were related mainly to “duplication, transcription, or translation”, energy or nutrient metabolism, and parasitic growth, proliferation, motility, invasion, adaptation to the host, or virulence. Interestingly, a majority (5601/7393) of the identified genes, and in particular the core genes (48/49), were expressed at lower levels in P. proliferus. The identified genes may play essential roles in the biological differences between Paragonimus species. This work provides fundamental background information for further research into the molecular biology of P. proliferus.
Helminth parasites of fish of the Kazakhstan sector of the Caspian Sea and associated drainage basin
Authors: Abdybekova A. M. , Abdibayeva A. A. , Popov N. N. , Zhaksylykova A. A. , Barbol B. I. , Bozhbanov B. Zh. , Torgerson P. R. 
Published: August 2020

Summary
The northern section of the Caspian Sea is an important fishery for Kazakhstan. In the present study, a total of 606 individuals of 13 fish species were collected. For each of Abramis brama, Alosa saposchnikowii, Atherina boyeri caspia, Carassius auratus, Clupeonella cultriventris, Cyprinus carpio, Liza aurata, Leuciscus aspius, Rutilus rutilus caspius, Sander lucioperca, Sander marinus, and Sander volgensis 50 individuals were examined whilst 6 individuals of Siluris glanis were examined. The nematode parasite Anisakis schupakovi was found in all fish species except Liza aurata, Carassius aurata, Cyprinus carpio and Rutilus rutilus at intensities ranging from 1 to 1197 parasites per infected fish. Trematodes of family Diplostomidae were also isolated from all fish except Alosa saposhnikowii, Clupeonella cultriventris and Sander marinus at intensities ranging from 1 to 242 parasites per infected fish. Other parasites found included the nematodes Porrocaecum reticulatum, Contracecum sp, Camallanus sp and Eustrongylus excisus; the cestodes Neogryporhynchus cheilancristrotus, Bothriocephalus opsariichthydis; the monogenean parasites Mazocraes alosa, Ancyrocephalus paradocus, Gyrodactylus spp, Ligophorus vanbenedenii and Dactylogyrus spp; and the crustacean parasites Ergasilus sp. and Synergasilus sp. In addition one unidentified species of nematode and a bivalve of the genus Unio was recovered from Rutilus rutilus caspius. There was no association between Fulton’s condition index and intensity of parasite infection.