bluuebunny/crossref_metadata_2025 huggingface dataset:
Embedded Intelligence in IoT - Based Mixed-Criticality Connected Healthcare Applications: Requirements, Research Achievements and Challenges
Authors: Bravos George , Dimitrakopoulos George , Anagnostopoulos Dimosthenis , Nikolaidou Mara , Kotronis Christos , Politi Elena , Amira Abbes , Bensaali Faycal
Published: October 2018

Technology advancements are evident in the healthcare field; numerous new opportunities and applications have emerged during the last years based on embedded intelligence and related to real-time diagnosis of medical issues, tele-care and telemedicine, remote monitoring of patients, computer-assisted “smart” transportation in case of emergencies, as well as new types of remotely controlled surgical operations. This paper aims to provide an overview of the application of embedded intelligence in the field of healthcare; it gathers the main critical requirements, related technologies and research advancements up to date, and it presents the most important challenges that are yet to be faced. The main focus is given in the development and optimization of Body Area Networks (BANs) based on advanced embedded sensing devices, the optimization of smart gateways in such networks, and the provision of holistic scalable and secure solutions in the healthcare domain. In addition, the paper presents two principal use cases that stem from the combination of novel information and communication technologies with classic healthcare practices, explaining the functional and non-functional requirements, as well as the mixed criticality characteristics of the associated systems.
Deep Learning: A Review
Authors: Vargas Rocio , Mosavi Amir , Ruiz Ramon
Published: October 2018

Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden layers of artificial neural networks. The deep learn- ing methodology applies nonlinear transformations and model abstractions of high level in large databases. The recent advancements in deep learning architec- tures within numerous fields have already provided significant contributions in artificial intelligence. This article presents a state of the art survey on the contri- butions and the novel applications of deep learning. The following review chron- ologically presents how and in what major applications deep learning algorithms have been utilized. Furthermore, the superior and beneficial of the deep learning methodology and its hierarchy in layers and nonlinear operations are presented and compared with the more conventional algorithms in the common applica- tions. The state of the art survey further provides a general overview on the novel concept and the ever-increasing advantages and popularity of deep learning.
Analysis of the Uncertainty in the relationship between Self-Determined Motivation and competitive Anxiety in dual-career students: Application of Information Theory and Bayesian Networks
Authors: Ponseti Xavier , L. Almeida Pedro , Lameiras Joao , Martins Bruno , Olmedilla-Zafra Aurelio , López-Walle Jeannete , García-Mas Alexandre
Published: October 2018

This study is framed on the Information Theory as a constructive criterion to generate probabilistic distributions –through the elaboration of Bayesian Networks- and to reduce the uncertainty in the occurrence and relationship between two key psychological variables associated with the sports’ performance: Self-Determined Motivation and Competitive Anxiety. We analyzed 674 universitary students/athletes who competed in the 2017 Universitary Games (Universiade) in México, from 44 universities, with an average age of 21 years old (SD = 2.07), and with a sportive experience of 8.61 years of average (SD = 5.15). Methods: Regarding the data analysis, first of all a CHAID algorithm was carried out for to know the independence links among variables, and then two Bayesian networks (BN) were elaborated. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantations were carried out with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have Extrinisic Motivation and Amotivation at the top, while the anxiety/activation due to the worry for performance was at the bottom of probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating the little influence on the competition anxiety generated by the intrinsic motivation. In conclusion, the reduction of the uncertainty made up by the restricted BN may aloe to re-introduce Information Theory principles in psychosocial studies, allowing authors to obtain useful probabilities values upon target psychological variables related with sportive performance.
Characterizing Situations of Dock Overload in Bicycle Sharing Stations
Authors: Cagliero Luca , Cerquitelli Tania , Chiusano Silvia , Garza Paolo , Ricupero Giuseppe , Baralis Elena
Published: October 2018

Bike sharing systems are a key element of a smart city as they have the potential for reducing pollutant emissions and traffic congestion thus substantially improving citizens’ quality of life. In these systems, bicycles are made available for shared use to individuals on a very short-term basis. They are rented in a station and returned in any other station with free docks. However, to achieve a satisfactory user experience, all the stations in the system must be neither overloaded nor empty. The occupancy level of the stations can be constantly monitored through IoT-based services. The goal of this work is to analyze occupancy level data acquired from real systems to discover situations of dock overload in multiple stations which could lead to service disruption. The proposed methodology relies on a pattern mining approach. A new pattern type, called Occupancy Monitoring Pattern (OMPs), is proposed to characterize situations of dock overload in multiple stations. Since stations are geo-referenced and their occupancy levels are periodically monitored, OMPs can be filtered and evaluated by considering also the spatial and temporal correlation of the acquired measurements. The results achieved on real Smart City data highlight the potential of these techniques in supporting domain experts in maintenance activities, such as periodic re-balancing of the occupancy levels of the stations, as well as in improving the user experience, such as suggesting alternative stations in the neighborhood.
A Novel Adaptive State of Charge Iterative Calculation Method by Using the Improved Unscented Kalman Filtering Algorithm for the Lithium Ion Battery Packs
Authors: Wang Shun-Li , Fernandez Carlos , Yu Chun-Mei , Zou Chuan-Yun , Coffie-Ken James
Published: October 2018

The state of charge estimation is an important part of the battery management system, the estimation accuracy of which seriously affects the working performance of the lithium ion battery pack. The unscented Kalman filter algorithm has been developed and applied to the iterative calculation process. When it is used to estimate the SOC value, there is a rounding error in the numerical calculation. When the sigma point is sampled in the next round, an imaginary number appears, resulting in the estimation failure. In order to improve the estimation accuracy, an improved adaptive square root - unscented Kalman filter method is introduced which combines the QR decomposition in the calculation process. Meanwhile, an adaptive noise covariance matching method is implied. Experiments show that the proposed method can guarantee the semi-positive and numerical stability of the state covariance, and the estimation accuracy can reach the third-order precision. The error remains about 1.60% under the condition of drastic voltage and current changes. The conclusion of this experiment can provide a theoretical basis of the state of charge estimation in the battery management of the lithium ion battery pack.
Effect of Plyometric Training on Speed and Change of Direction Ability in Elite Field Hockey Players
Authors: Singh Jasdev , Appleby Brendyn B , Lavender Andrew P
Published: October 2018

This study investigated the effects of two plyometric training protocols on sprint and change of direction (COD) performance in elite hockey players. A parallel-group randomized controlled trial design was used and seventeen elite male and female field hockey players were randomly allocated into either low-to-high (L-H, n = 8) or high-to-low (H-L, n = 9) training groups. Each group performed separate variations of the drop jump exercise twice weekly for six weeks, with an emphasis on either jump height (L-H) or drop height (H-L). Performance variables assessed included sprint times over 10 m and 20 m, as well as 505 time. A two-way repeated measures analysis of variance was performed and Cohen’s d effect sizes were calculated. The H-L group displayed significant small ES improvement from baseline to post-training in the 10 m sprint (1.893 ± 0.08 s pre vs 1.851 ± 0.06 s post) (ES = −0.44) (P = <0.05). Small but not statistically significant differences between groups were observed for 10 m and 20 m sprint performance, and no significant differences were observed within or between groups for 505 time. These findings highlight the difficulty in substantially enhancing speed and COD ability in highly trained athletic populations through the addition of a low volume, short duration plyometric training protocol.
Strength and Durability Study of Aramid Fibers in Retrofitting of Reinforced Concrete Structure
Authors: Kandekar Sachin , Talikoti Rajashekhar
Published: October 2018

Fiber reinforced polymer (FRP) is one of the important material used for strengthening and retrofitting of reinforced concrete structures. The commonly used fibers are glass, carbon and aramid fibers. Durability of structures can be extended by selecting appropriate method of strengthening. FRP wrapping is one of the easiest methods for repair, retrofit and maintenance of structural element. Deterioration of structures may be due to moisture content, salt water, or contact with alkali solutions. There is significant effect of permeability, rise in temperature, chemical attack, fatigue action, micro pores on members of structures. Using FRP additional strength can be gained by structural elements. This paper investigates durability of aramid fiber subjected to acid attack and temperature rise. Concrete cubes are prepared as specimens with double wrapping of aramid fibers. Diluted hydrochloric acid solution is used for immersion of specimen for curing period of 7, 30 and 70 days. In case of fire resistance test, such specimens are kept in hot air oven at a temperature of 2000C at different time intervals. The effect of aramid fiber wrapping on compressive strength and weight loss of specimen is studied.
Resistance Distance and Kirchhoff Index of Graphs with Pockets
Authors: Liu Qun , Liu Jiabao
Published: October 2018

Let G[F,Vk, Huv] be the graph with k pockets, where F is a simple graph of order n ≥ 1,Vk= {v1,v2,··· ,vk} is a subset of the vertex set of F and Hvis a simple graph of order m ≥ 2,v is a specified vertex of Hv. Also let G[F,Ek, Huv] be the graph with k edge pockets, where F is a simple graph of order n ≥ 2, Ek= {e1,e2,···ek} is a subset of the edge set of F and Huvis a simple graph of order m ≥ 3, uv is a specified edge of Huvsuch that Huv− u is isomorphic to Huv− v. In this paper, we derive closed-form formulas for resistance distance and Kirchhoff index of G[F,Vk, Hv] and G[F,Ek, Huv] in terms of the resistance distance and Kirchhoff index F, Hv and F, Huv, respectively.
Agricultural Land Conversion, Land Economic Value, and Sustainable Agriculture: A Case Study from East Java, Indonesia
Authors: Rondhi Mohammad , Pratiwi Pravita A. , Handini Vivi T. , Sunartomo Aryo F. , Budiman Subhan A.
Published: October 2018

Agricultural land conversion (ALC) is an incentive–driven process. In this paper we further investigate the inter–relationship between land economic value (LEV) and ALC. To achieve this goal, we calculated LEV for agricultural and non-agricultural (housing) uses in two areas in East Java, Indonesia. The first area represents suburban agriculture, facing rapid urbanization and experiencing high rate of ALC. The second area represents rural agriculture with zero ALC. Furthermore, we identified factors affecting LEV in both areas for both uses. The resut of this study show that agricultural land yielded higher economic benefit in rural area. Conversely, comparing to agricultural land, housing creates 7 times higher value in urban area. Moreover, agricultural land shown to create higher profit after converted. Ironically, the similar comparison doesn’t exists in rural area. Agricultural land only yielded 19% more value, indicate that agricultural land can be easily converted. It is also proven by the growing number of new urban core in the periphery area. There are several factors affecting land economic value, for agricultural use, soil fertility, accessibility, and cropping pattern are important variables. While accessibility and location in urban area increases land value for housing.
Evaluation of the Technical Wind Energy Potential of Kisii Region Based on the Weibull and Rayleigh Distribution Models
Authors: Ongaki Laban N. , Maghanga Christopher M. , Kerongo Joash
Published: October 2018

The research sought to investigate the long term characteristics of wind in the Kisii region (elevation 1710m above sea level, 0.68oS, 34.79o E). Wind speeds were analyzed and characterized on short term (per month for a year) and then simulated for long term (ten years) measured hourly series data of daily wind speeds at a height of 10m. The analysis included daily wind data which was grouped into discrete data and then calculated to represent; the mean wind speed, diurnal variations, daily variations as well as the monthly variations. The wind speed frequency distribution at the height 10 m was found to be 2.9ms-1 with a standard deviation of 1.5. Based on the two month’s data that was extracted from the AcuRite 01024 Wireless Weather Stations with 5-in-1 Weather Sensor experiments set at three sites in the region, averages of wind speeds at hub heights of 10m and 13m were calculated and found to be 1.7m/s, 2.0m/s for Ikobe station, 2.4m/s, 2.8m/s for Kisii University stations, and 1.3m/s, 1.6m/s for Nyamecheo station respectively. Then extrapolation was done to determine average wind speeds at heights (20m, 30m, 50m, and 70m) which were found to be 85.55W/m2, 181.75W/m2, 470.4W/m2 and 879.9W/m2 respectively. The wind speed data was used statistically to model a Weibull probability density function and used to determine the power density for Kisii region.
Optimization of Line-Tunneling Type L-Shaped Tunnel Field-Effect-Transistor for Steep Subthreshold Slope
Authors: Najam Faraz , Yu Yun Seop
Published: October 2018

Recently L-shaped tunneling field-effect-transistor (LTFET) has been introduced to overcome the thermal subthreshold limit of conventional metal-oxide-semiconductor field-effect-transistors (MOSFET). In this work, shortcoming of LTFET was investigated. It was found that corner effect present in LTFET effectively degrades its subthreshold slope. To get rid of corner effect a new type of device with dual material gates is presented. The new device termed as DG-LTFET gets rid of the corner effect and results in a significantly improved subthreshold slope of less than 10 mV/dec, and an improved ON/OFF current ratio over LTFET. In this work DG-LTFET was evaluated for different device parameters, and bench-marked against LTFET. This work presents an optimum configuration of DG-LTFET in terms of device dimensions and doping levels, to get the best subthreshold, ON current and ambipolar performance from the DG-LTFET.
Recognizing and Acknowledging Worldview Diversity in the Inclusive Classroom
Authors: Bartz Janieta , Bartz Thomas
Published: October 2018

In the context of the increasing migration into Germany that has taken place in recent years and German efforts to establish an inclusive school system, which enables learners from different religious, ethnic, language and social backgrounds with and without disabilities to participate, religious education has become a key topic for interdisciplinary discourse between theology, philosophy, and pedagogy in German schools. The following questions are of special interest: How can we manage diversity in inclusive classroom settings in general, and specifically: how can we do so with regard to worldview diversity? Does worldview diversity in schools exist, and if so, how can we recognize it in its plurality and complexity? How can we acknowledge different worldviews in the context of a changing inclusive school system? In this article, we would like to present the theoretical foundation, the research setting and the first findings of our ongoing pilot studies of worldview education at an inclusive German school. The experiments are part of a larger project context that is also described. The case study presented in this article, in which innovative language and machine learning technology was used for data analysis, illustrates the potential of inclusive methods and didactic concepts such as Universal Design for Learning [1], Learning in the Presence of the Other [2,3] and Reflexive Inclusion [4] for inclusive worldview education in the context of a religiously pluralized and secularized society.
Gene-Set Enrichment Analysis of Differentially Expressed Genes of Amniotic-Fluid RNA Providing Insights into the Phenotype of Turner’s Syndrome
Authors: Saha Sarbojoy , Barmon Shampa
Published: October 2018

Genetic disorders are quite a major topic of discussion and debate in the recent world of biological sciences. Turner’s syndrome is one such disorder caused by a chromosome aneuploidy and it has characteristic symptoms in the patient or the affected individual.  The amniotic fluid is a complex biological material found in the amniotic sac of pregnant women and they can provide valuable knowledge and understanding of the pathogenesis of this particular chromosomal abnormality. In this study, global gene expression analysis of cell-free RNA in amniotic fluid supernatant was used to detect genes/organ systems which may be significant in the pathophysiology of Turner’s syndrome. The cell-free RNA from the amniotic fluid of five mid-trimester Turner’s syndrome fetuses and five euploid female fetuses matched for age of gestation were extracted, amplified and hybridized onto Affymetrix U33 Plus 2.0. array. The paired t-test was used to identify the significantly differentially regulated genes. Biological interpretation was conducted using ingenuity pathway analysis and BioGPS gene expression atlas. Of the genes, XIST was especially downregulated and SHOX was not expressed differentially. One of the most highly represented organ systems was the hematologic/immune system, differentiating the transcriptome of Turner’s syndrome from other chromosomal aneuploidies that are discussed in this area of science. The differences in the transcriptome of the Turner’s syndrome are due to genome-wide dysregulation. The hematologic/immune system differences are significant in early-onset autoimmune dysfunction. There are other genes which have been identified that are associated with the cardiovascular and the skeletal system, as these are often seen to be affected in the female patients with turner’s syndrome. Hopefully, such knowledge gained from this study will help us to understand the deeper mechanisms of this disorder and the possible treatments of this disease.
Characterization of Human Chondrocytes from Less- vs. Severely-Affected Osteoarthritic Cartilage and Evaluation of their Ability to Develop into In Vitro 3D Models
Authors: Binti Zakariah Nazatul Nurzazlin , Bin Sulaiman Shamsul , Bin Yahaya Nor Hamdan , Abdul Rani Rizal , Binti Haji Idrus Ruszymah , Roy Chowdhury Shiplu
Published: October 2018

Osteoarthritis (OA) is a joint disease involving cartilage degeneration. This study aimed to compare properties of chondrocytes from less-affected (LA-Cartilage) and severely-affected (SA-Cartilage) of human OA articular cartilage. Based on Dougados classification, OA cartilage was classified into two groups; less-affected (Grade 0–1) and severely-affected (Grade 2–3). Chondrocytes from each group were cultured until passage (P) 4. Growth, migration, stem cell properties and chondrogenic properties under normal and inflammatory conditions, and the formation of in vitro 3D cartilage tissues were compared between groups. The growth and migratory properties of LA-chondrocytes and SA-chondrocytes were similar, except that the migration rate of SA-chondrocytes was significantly higher at P0 compared to LA-chondrocytes. Both LA-chondrocytes and SA-chondrocytes expressed mesenchymal stem cell markers and tri-lineage differentiation, but the expression of stem cell markers decreased significantly with increasing passage number. Exposure to inflammatory conditions induced distinct morphological changes and significant increases in expression of SOX9 at P4 and MMP3 at P1 for LA-chondrocytes. LA-chondrocytes and SA-chondrocytes able to develop into in vitro 3D constructs, but SA-chondrocytes exhibited superior cartilage-like properties. Chondrocytes from both less- and severely-affected regions are suitable to be used in clinical applications, however, chondrocytes from severely-affected regions could be a more favorable cell source.
Does Bilingual Instruction Impact Students' Academic Performance in Content-Based Learning? - Evidence from Business School Students Attending Bilingual and L1 Courses
Authors: Lin Philip , He Shawna
Published: October 2018

Despite the rapid adoption of bilingual programs (English-Chinese) in China's higher education institutions (HEIs), concerns have been raised on perceived language hindrance to students’ academic comprehension and then performance. In response to this, this paper investigates the effects of bilingual instruction on content-based learning and provides empirical evidence after testing related influential factors in bilingual environment. Analyzing a sample of 498 undergraduate students enrolling in a fundamental business course in a sample university in China, we find insignificant statistical difference in students' academic performance between bilingual and L1 classes. We attribute this to the English language support provided by the university and show that learning competence can help students to minimize language barrier and furthermore solve the common learning problems confronted by both bilingual and L1 students. Overall, our paper aims to identify key determinants of students' academic performance in bilingual instruction and provide policy implication for developing desirable bilingual programs in HEIs.
Quantitative Network Organization of Interactions Emerging from the Evolution of Sequence and Structure Space of Antibodies: the RADARS Model
Authors: Prechl József
Published: October 2018

Based on the key molecule of humoral adaptive immunity, the antibody, evolution of the system comprises molecular genetic, cell biologic and immunologic mechanisms, and as a network the system is likely governed and can be characterized by physical rules as well. While deep sequencing can provide vast amounts of data related primarily to clonal relationships, functional interpretation of such data is hampered by the inherent limitations of converting sequence to structure to function. In this paper a novel model of structural interaction space, termed radial adjustment of system resolution, or RADARS, is proposed. The model is based on the radial growth of resolution of structural recognition, corresponding to increasing affinity of immune reactivity, and the virtual infinity of directions of growth, corresponding to the ability to respond to almost any molecular structure. Levels of interaction strength appear as shells of the sphere representing the system. B-cell development and immune responses can be readily interpreted in the model and quantitative properties of the antibody network can be inferred from the physical properties of a quasi-spherical system growing multi-radially. The system is described by double-Pareto distribution, sampling the lognormally distributed equilibrium constants at a rate of phi square. Finally, general strategies for merging antibody sequence space into structural space are outlined.
Reformulation of Business Strategy PT XYZ
Authors: Mukhtar Saparuddin , Rizan Mohammad , Annisa Resti , Astuti Rifelly Dewi , Bado Basri
Published: October 2018

Currently, PT. XYZ  requires the restructuring of its business strategy to restore and restore PT XYZ 's finances as well as to build a viable and profitable housing. In the reformulation of the business strategy of PT XYZ, the researcher will use SWOT analysis as the basis of the analysis, and Grand Strategy matrix to analyze company position in the industry. The results indicate that the position of PT XYZ  is in the quadrant 1 is Strengthâ€”Opportunity which means the position of a perfect company strategy and competes vigorously. The alternative strategy formed refers to the related Diversification strategy and Horizontal Integration, the suggested strategy is (1) to build a Highland geopark tourism park; (2) redeveloping the extreme sports arena; (3) establish cooperative relationships with government or private companies concerned; (4) to provide land or field intended for residents of housing around PT XYZ area, also a form of CSR; (5) evaluate and improve HR performance by conducting performance appraisal through key performance indicator and balanced scorecard.
Spreading of entanglement and correlations after a quench with intertwined quasiparticles
Authors: Bastianello Alvise , Calabrese Pasquale
Published: October 2018

We extend the semiclassical picture for the spreading of entanglement
and correlations to quantum quenches with several species of
quasiparticles that have non-trivial pair correlations in momentum
space. These pair correlations are, for example, relevant in
inhomogeneous lattice models with a periodically-modulated Hamiltonian
parameter. We provide explicit predictions for the spreading of the
entanglement entropy in the space-time scaling limit. We also predict
the time evolution of one- and two-point functions of the order
parameter for quenches within the ordered phase. We test all our
predictions against exact numerical results for quenches in the Ising
chain with a modulated transverse field and we find perfect
agreement.
Magyarországi iskolarendszer alapú sporttámogatások
Authors: Gősi Zsuzsanna
Published: October 2018

A sport és a tanulás, a sport és a karrier témaköre mindig is fontos egy fiatal életében. Az elmúlt években több tanulmány is foglalkozott ezzel a kérdéssel. Az Európai Unió szintén kiemelt témaként kezeli a duális karriert. A tanulmány bemutatja azokat a programokat, amelyek a fiatal élsportolókat támogatják Magyarországon. Az általános és középiskolai évek alatt lehetőséget adhat a sport és a tanulás kettősségének megvalósításra a sportiskolai, valamint az akadémia rendszer. Ennek a korosztálynak nyújt lehetőséget a Héraklész Bajnok Program is, majd a későbbiekben a Héraklész Csillag Program. A központi kormányzat jelentős anyagi támogatást nyújt a sportiskolai program és a Héraklész program működéséhez. A tanulás és a sport kettősségét ismeri el a „Jó tanuló – Jó sportoló” díjazás, amelyet megtalálhatunk iskolai, önkormányzati és országos szinten is. A felsőoktatásban tanulókat két jelentősebb központi program segíti: Magyar Sportcsillagok Ösztöndíj Program és az Olimpikon Életút Program. Bemutatásra kerül néhány jó gyakorlat is, amely a felsőoktatásban intézményi szinten támogatja a szabadidősportot vagy az élsportot.
Hogyan nevelhetünk kisgyermekből igényes olvasót?
Authors: Vass Dorottea
Published: October 2018

Tóth Béla (2016): Egy fiúgyermek irodalmi érdeklődésének alakulása 2-10 éves koráig. Aquarius Szövetkezet, Budapest
Szisztematikus irodalomfeldolgozás a videófelvétellel támogatott felidézést alkalmazó pedagógus-kutatásokról
Authors: Szivák Judit , Gazdag Emma , Nagy Krisztina
Published: October 2018

A pedagógusok reflektív gondolkodásának feltárására alkalmazott kutatási módszerek, mind hazai, mind nemzetközi térben aktuálisak és jelentősek (Creswell, 2014; Polat, 2015). A reflektív gondolkodás jelenléte a hazai neveléstudományi kontextusban a tanárképzés, a továbbképzés és az értékelési rendszer területén erős. Ennek ellenére az empirikus vizsgálatokat bemutató, a téma szisztematikus irodalom feltárására vállalkozó publikációk hiánya jellemző, ezért kutatócsoportunk a videófelvétellel támogatott felidézés (VSR) mint a reflektív gondolkodás fejlesztésének hatékony technikájának szisztematikus irodalomfeldolgozását (systematic literature review) tűzte ki célul. Irodalmi feldolgozásunk egy kiterjedtebb kutatás részeként, a VSR szerepét vizsgálja a pedagógusok pályafejlődésének korai szakaszában az elmúlt négy évtizedben. Vizsgálataink rávilágítottak arra, hogy nemzetközi térben a pedagógusok reflektív gondolkodásának kutatását mind célkitűzései tekintetében, mind kutatásmódszertani szempontból sokszínűség jellemzi. A VSR-ra vonatkozó kutatások a pedagógusok gondolkodásának számos területére kiterjedtek, például a döntéshozatalra (Byra, & Sherman, 1993), az osztálytermi viselkedésre (Kwo, 1994) és a korai szakmai tapasztalatok témakörére (Powell, 1992) csakúgy, mint a folyamatos szakmai fejlődésre (Freitas, Jiménez, & Mellado, 2004). Tanulmányunk első része a VSR fogalmi és történeti alapjait mutatja be, majd az általunk végzett kutatást különös tekintettel az irodalomfeldolgozás módszertani jellemzőire, folyamatára és eredményeire: a vizsgálatba bevont tanulmányok céljaira és eredményeire. (A VSR technika alkalmazásának módszertanát következő tanulmányunkban dolgozzuk fel. Neveléstudomány 2018/4)
A CLIL 30 éve Magyarországon
Authors: Kovács Ivett
Published: October 2018

Kovács Judit (2018). Iskola, nyelv, siker. Budapest: Eötvös József Könyvkiadó.
Impact of the Duration of Controlled Ovarian Stimulation on Assisted Reproduction Cycle Outcomes
Authors: Kahyaoglu Inci , Dogru Hatice Yılmaz , Kaplanoglu Iskender , Dilbaz Serdar , Mollamahmutoglu Leyla
Published: October 2018

Objective: To investigate the impact of duration of controlled ovarian stimulation on vitro fertilization outcomes.Study Design: Medical records of 3194 IVF and ICSI cycles from the assisted reproduction unit of a tertiary hospital were retrospectively analyzed using a computer based database. Characteristics of cycles with duration of stimulation ≤ 8 days (group I), 9 to 12 days (group II) or ≥13 days (group III) were studied retrospectively. Subgroup analysis was also done for poor responders, patients with polycystic ovary syndrome and normoresponders.Results: Estradiol on trigger day, number of retrieved oocytes, mature oocytes and fertilized oocytes were significantly higher in group II compared to the other two groups when all cycles were analyzed (p<0.001). No significant difference was observed regarding clinical and ongoing pregnancy rates between groups. Regarding poor responders, the number of mature oocytes and the number of fertilized oocytes were higher in group II compared to the other groups (p=0.028, p=0.038, respectively). Ongoing pregnancy rates were significantly lower in group III compared to other groups (p= 0.041). In patients with polycystic ovary syndrome, number of retrieved oocytes was significantly lower in group III compared to group II (p=0.047) and number of mature oocytes was significantly lower in group III compared to the other groups (p=0.005). No significant difference was found in the clinical and ongoing pregnancy rates. Number of retrieved oocytes, clinical and ongoing pregnancy rates were comparable between three groups for normoresponders.Conclusion: Prolonged cycles have a detrimental effect only on ongoing pregnancy rates in poor responders.
Comparative study of heavy metal residues in struvite products recovered from swine wastewater using fluidised bed and stirred reactors
Authors: Chu Dongyuan , Ye Zhi-Long , Chen Shaohua , Xiong Xiaojing
Published: October 2018

Struvite (MgNH4PO4·6H2O) crystallisation is a promising approach for phosphorus recovery from swine wastewater. Currently, intensive pig feeding has made heavy metals (HMs) extensive in swine wastewater; therefore, significant amounts of HMs have been detected in struvite recovery products. In this study, the HM residues in the struvite products recovered from stirred and fluidised bed reactors were investigated. The results showed that Zn, Mn, and Cu were the most abundant elements in swine wastewater (1,175.3 ± 178.0, 745.4 ± 51.5, and 209.3 ± 54.4 μg L−1, respectively). The HMs, especially Zn (97.0%) and Cu (96.8%), were mainly distributed in the total suspended solids (TSS) of the swine wastewater. Redundancy analysis revealed that the HMs in the struvite products harvested from the fluidised bed reactor were mainly attributable to the aggregation of dissolved matters, because most TSS were elutriated through fluidisation. In contrast, the HMs in the struvite products harvested from the stirred reactor mainly originated from the TSS, which complexed with the HMs, and co-precipitated and settled with the struvite products. Furthermore, chemical fractionation of the HM species confirmed that the presence of HMs in the struvite products was mainly attributable to metal precipitation and organic aggregation.
Role of PCSK9 Inhibitors in High Risk Patients with Dyslipidemia: Focus on Familial Hypercholesterolemia
Authors: Papademetriou Vasilios , Stavropoulos Konstantinos , Papadopoulos Christodoulos , Koutsampasopoulos Konstantinos , Dimitriadis Kiriakos , Tsioufis Kostas
Published: October 2018

Background:

Familial hypercholesterolemia (FH) is an inherited autosomal dominant disorder that is
characterized by substantially increased Low-Density Lipoprotein Cholesterol (LDL-C) levels. Patients with FH
have a significantly higher risk for Cardiovascular (CV) events, and the timely reduction of LDL-C is of paramount
importance to ameliorate the risk for CV disease. Among the available lipid-lowering therapies, the novel
Proprotein Convertase Subtilisin/Kexin type 9 (PCSK9) inhibitors have emerged as a very promising class of
drugs for the management of such patients.

Objective:

The purpose of this review is to present available data on the efficacy and safety of the two available
PCSK9 inhibitors in patients with FH, and importantly to discuss potential differences between the two drugs.

Methods:

A comprehensive literature search was performed to identify available data from clinical studies evaluating
the impact of evolocumab or alirocumab on lipid and CV parameters in patients with FH.

Results:

Several studies have assessed the lipid-lowering profile of PCSK9 inhibitors in patients with FH. Both
evolocumab and alirocumab were found to significantly reduce LDL-C by more than 50-60% in FH patients.
Furthermore, data also support a lower rate of lipid apheresis in FH patients receiving a PCSK9 inhibitor. In terms
of CV outcomes, both drugs were found to possess CV-ameliorating effects of the same extent in patients with
CV disease. However, alirocumab reduced all-cause mortality, as well, a finding not observed with evolocumab.
Several differences in the study population characteristics might explain this and other mild differences observed
in the CV trials of these drugs.

Conclusion:

Available evidence suggests similar potency of alirocumab and evolocumab in reducing lipids and
CV events.
The Development of Machine Learning Methods in Cell-Penetrating Peptides Identification: A Brief Review
Authors: Wei Huan-Huan , Yang Wuritu , Tang Hua , Lin Hao
Published: October 2018

Background:

Cell-penetrating Peptides (CPPs) are important short peptides that facilitate cellular intake or uptake of various molecules. CPPs can transport drug molecules through the plasma membrane and send these molecules to different cellular organelles. Thus, CPP identification and related mechanisms have been extensively explored. In order to reveal the penetration mechanisms of a large number of CPPs, it is necessary to develop convenient and fast methods for CPPs identification.

Methods:

Biochemical experiments can provide precise details for accurately identifying CPP, but these methods are expensive and laborious. To overcome these disadvantages, several computational methods have been developed to identify CPPs. We have performed review on the development of machine learning methods in CPP identification. This review provides an insight into CPP identification.

Results:

We summarized the machine learning-based CPP identification methods and compared the construction strategies of 11 different computational methods. Furthermore, we pointed out the limitations and difficulties in predicting CPPs.

Conclusion:

In this review, the last studies on CPP identification using machine learning method were reported. We also discussed the future development direction of CPP recognition with computational methods.
Helenalin - A Sesquiterpene Lactone with Multidirectional Activity
Authors: Drogosz Joanna , Janecka Anna
Published: October 2018

Sesquiterpene lactones, secondary metabolites of plants, present in a large number of species
mostly from the Asteracea family, are used in the traditional medicine of many countries for the
treatment of various pathological conditions. They exert a broad range of activities, including antiinflammatory,
anti-bacterial and anti-cancer properties. The best-known sesquiterpene lactones which
are already used as drugs or are used in clinical trials are artemisinin, thapsigargin and parthenolide.
Yet another sesquiterpene lactone, helenalin, an active component of Arnica montana, known for its
strong anti-inflammatory activity, has been used for centuries in folk medicine to treat minor injuries.
Unfortunately, helenalin’s ability to cause allergic reactions and its toxicity to healthy tissues prevented
so far the development of this sesquiterpene lactone as an anticancer or anti-inflammatory drug.
Recently, the new interest in the biological properties, as well as in the synthesis of helenalin analogs
has been observed. This review describes helenalin's major biological activities, molecular mechanisms
of action, its toxicity and potential for further research.
2D QSAR Analysis of Substituted Quinoxalines for their Antitubercular and Antileptospiral Activities
Authors: Natarajan Ramalakshmi , Puratchikody Ayarivan , Muralidharan Vignesh , Doble Mukesh , Subramani Arunkumar
Published: October 2018

Background: The Quantitative structure activity relationship for thirty two novel substituted
quinoxalines was performed for their antitubercular (Mycobacterium tuberculosis H37Rv) and antileptospiral
(Leptospirainterrogans) activities. The quinoxalines were substituted with azetidinones, thiazolidinones
and fluoroquinolones. Several compounds exhibited good activity against both the infections
and they all possess fluoroquinolone moiety with the quinoxaline.

Methods:

The models developed showed good linear relationship (r2 = 0.71-0.88), with an internal predictive
ability (q2> 0.61) and good external predictive ability (pred_r2>0.71). The compounds were
separated into a training set on which regression was performed and a test set on which the predictive
ability of the model was tested. Other statistical parameters including Ro2, Ro’2, k, k’ and Z- score
were in the acceptable range.

Results and Conclusion:

The descriptors obtained explained the necessity of spatial orientation of atoms
including branching and adjacency, presence of electronegative groups, balance between lipophilic
elements and their binding strengths.
The Resistance Rate of Helicobacter Pylori to Clarithromycin and Main Mutations on Bacterial Genomic Responsible for Bacterial Resistance: A Comparative Study in Children and Adults, Tehran and Iran
Authors: Yousefi Azizollah , Eslami Shahryar , Noorbakhsh Samileh , Haghighi Morteza , TaheriNia Leila , Ehsanipour Fahimeh , Ashouri Sarvenaz
Published: October 2018

Background:

High resistance to common antibiotics has become a huge global dilemma
in eradicating Helicobacter Pylori infection in both children and adults. The great concern
is about the resistance to different classes of antibiotics especially Clarithromycin because of its
widespread use.

Objective:

The present survey aimed to assess the resistance rate to Clarithromycin in Helicobacter
Pylori isolated in patients aged less than 15 years as compared to patients older than 15 years
of age.

Methods:

In this cross-sectional study, total 72 patients with upper gastrointestinal symptoms requiring
diagnostic endoscopy referred to Rasoul-e-Akram Hospital in Tehran during one year
(August 2015 to August 2016). Helicobacter Pylori infection was diagnosed in patients using the
Rapid Urease Test. The antibiotics resistance was detected in genomes using the real-time polymerase
chain reaction (PCR) on 23S rRNA gene.

Results:

In total 72 patients, 36 cases aged less than or equal to 15 years and 36 patients were
older than 15 years. Of all patients in this study, 17 cases were detected with gene mutations or
polymorphisms related to resistance to Clarithromycin. Overall prevalence rate of resistance was
reported 23.61%. Three polymorphisms on 23S rRNA gene including A2142G, A2142C, and
A2143G were revealed in 47.1%, 5.9%, and 47.1% of patients, respectively. The bacterial resistance
to Clarithromycin was observed more prevalent in patients that aged older than 15 years
compared to patients younger than 15 years of age. Also, frequent consumption of any type of antibiotics
was significantly associated with the higher resistance of bacterium to Clarithromycin.

Conclusion:

The results of our study regarding the resistance of Helicobacter Pylori to
Clarithromycin were similar to findings of other studies around the world. But, the Clarithromycin
resistance rate was reported higher in patients older than 15 years of age and those patients who
repeatedly received different types of antibiotics regardless of their age. Of all mutations in bacterial
genome, the prominent mutations responsible for bacterial resistance to Clarithromycin included
A2142C, A2142G, and A2143G nucleotide polymorphism on 23S rRNA gene.
Pharmacokinetic and Pharmacodynamic Aspects of Peyote and Mescaline: Clinical and Forensic Repercussions
Authors: Dinis-Oliveira Ricardo Jorge , Pereira Carolina Lança , da Silva Diana Dias
Published: October 2018

Background:

Mescaline (3,4,5-trimethoxyphenethylamine), mainly found in the Peyote cactus (Lophophora williamsii), is one of the oldest known hallucinogenic agents that influence human and animal behavior, but its psychoactive mechanisms remain poorly understood.

Objective:

This article aims to fully review pharmacokinetics and pharmacodynamics of mescaline, focusing on the in vivo and in vitro metabolic profile of the drug and its implications for the variability of response.

Methods:

Mescaline pharmacokinetic and pharmacodynamic aspects were searched in books and in PubMed (U.S. National Library of Medicine) without a limiting period. Biological effects of other compounds found in peyote were also reviewed.

Results:

Although its illicit administration is less common, in comparison with cocaine and Cannabis, it has been extensively described in adolescents and young adults, and licit consumption often occurs in religious and therapeutic rituals practiced by the Native American Church. Its pharmacodynamic mechanisms of action are primarily attributed to the interaction with the serotonergic 5-HT2A-C receptors, and therefore clinical effects are similar to those elicited by other psychoactive substances, such as lysergic acid diethylamide (LSD) and psilocybin, which include euphoria, hallucinations, depersonalization and psychoses. Moreover, as a phenethylamine derivative, signs and symptoms are consistent with a sympathomimetic effect. Mescaline is mainly metabolized into trimethoxyphenylacetic acid by oxidative deamination but several minor metabolites with possible clinical and forensic repercussions have also been reported.

Conclusion:

Most reports concerning mescaline were presented in a complete absence of exposure confirmation, since toxicological analysis is not widely available. Addiction and dependence are practically absent and it is clear that most intoxications appear to be mild and are unlikely to produce lifethreatening symptoms, which favors the contemporary interest in the therapeutic potential of the drugs of the class.
NADPH Oxidase as a Target for Modulation of Radiation Response; Implications to Carcinogenesis and Radiotherapy
Authors: Mortezaee Keywan , Goradel Nasser Hashemi , Amini Peyman , Shabeeb Dheyauldeen , Musa Ahmed Eleojo , Najafi Masoud , Farhood Bagher
Published: October 2018

Background:

Radiotherapy is a treatment modality for cancer. For better therapeutic efficiency, it could be used in combination with surgery, chemotherapy or immunotherapy. In addition to its beneficial therapeutic effects, exposure to radiation leads to several toxic effects on normal tissues. Also, it may induce some changes in genomic expression of tumor cells, thereby increasing the resistance of tumor cells. These changes lead to the appearance of some acute reactions in irradiated organs, increased risk of carcinogenesis, and reduction in the therapeutic effect of radiotherapy.

Discussion:

So far, several studies have proposed different targets such as cyclooxygenase-2 (COX-2), some toll-like receptors (TLRs), mitogen-activated protein kinases (MAPKs) etc., for the amelioration of radiation toxicity and enhancing tumor response. NADPH oxidase includes five NOX and two dual oxidases (DUOX1 and DUOX2) subfamilies that through the production of superoxide and hydrogen peroxide, play key roles in oxidative stress and several signaling pathways involved in early and late effects of ionizing radiation. Chronic ROS production by NOX enzymes can induce genomic instability, thereby increasing the risk of carcinogenesis. Also, these enzymes are able to induce cell death, especially through apoptosis and senescence that may affect tissue function. ROS-derived NADPH oxidase causes apoptosis in some organs such as intestine and tongue, which mediate inflammation. Furthermore, continuous ROS production stimulates fibrosis via stimulation of fibroblast differentiation and collagen deposition. Evidence has shown that in contrast to normal tissues, the NOX system induces tumor resistance to radiotherapy through some mechanisms such as induction of hypoxia, stimulation of proliferation, and activation of macrophages. However, there are some contradictory results. Inhibition of NADPH oxidase in experimental studies has shown promising results for both normal tissue protection and tumor sensitization to ionizing radiation.

Conclusion:

In this article, we aimed to review the role of different subfamilies of NADPH oxidase in radiation-induced early and late normal tissue toxicities in different organs.