bluuebunny/crossref_metadata_2025 huggingface dataset:
Yüksek Sıcaklığa Ulaşan Elektronik Elemanların Etkin Bir Şekilde Soğutulması
Authors: ÖZTÜRK Muhammed Serdar , DEMİRCAN Tolga
Published: January 2022

Bu çalışmada, yüksek sıcaklığa ulaşan elektronik elemanların etkin bir şekilde soğutulması incelenmiştir. Elektronik elemanları etkin bir şekilde soğutulabilmek için kanal içi akış, jet akış ve hibrit akış yöntemleri kullanılmış ve bu yöntemlerin ısı transferi üzerinde yarattığı etkilere odaklanılmıştır. Bu kapsamda, sabit giriş hızı ve üç farklı H/D (jet ile çarpma yüzeyi arasındaki mesafenin jet çapına oranı) oranı için, Hesaplamalı Akışkanlar Dinamiği (HAD) yardımı ile simülasyonlar gerçekleştirilmiştir. Elde edilen verilerin sonucunda, H/D oranın artması ile genel olarak ısı transferinin azaldığı gözlemlenmiştir. Ancak jet akışının diğer akış yöntemlerine kıyasla H/D oranının değişiminden daha çok etkilendiği görülmüştür. Elektronik elemanın yüzeylerinde gerçekleşen ısı transferine bakıldığında ise, jet akışın elektronik elemanın üst yüzeyinde gerçekleşen ısı transferini diğer akış yöntemlerine kıyasla daha çok arttırdığı görülmüştür. Ancak bu yöntemin, elektronik elemanın sol ve sağ yüzeylerinde ise en düşük ısı transferini sağlayan akış yöntemi olduğu belirlenmiştir. Kanal içi akış ile yapılan soğutmanın, elektronik elemanın sol ve sağ yüzeylerini soğutmada, jet akışa kıyasla başarılı olsa da elektronik elemanın üst yüzeyini yeterince soğutamadığı gözlemlenmiştir. Bu iki akışın birlikte kullanılması ile oluşan hibrit akış ile yapılan soğutma ise, genel olarak en düşük ortalama sıcaklık değerlerini veren akış yöntemi olmuştur. Çalışılan parametre aralığında optimum soğutmanın, H/D=2 oranında hibrit akış yönteminin kullanılması ile yapılabildiği belirlenmiştir.
A NATO-tagság és a közvetlen külföldi befektetések (FDI) kapcsolata Albánia esetében
Authors: Harangozó Dániel
Published: January 2022

Az elemzésben a közvetlen külföldi befektetések (FDI) fontosabb trendjeit vizsgáljuk Albániában a NATO-hoz való csatlakozást követően, és arra a kérdésre keressük a választ, hogy a csatlakozás után – hasonlóan a NATO-hoz 1999-ben és 2004-ben csatlakozó országokhoz – tapasztalható volt-e a FDI mértékének jelentős növekedése. Következtetésünk szerint a csatlakozás pozitív hatást gyakorolt az ország külföldi befektetők általi megítélésére, de hatása az FDI-beáramlásra elmaradt a két fent említett bővítési kör után tapasztalhatótól.
An Analysis of Assertive Speech Acts in Post Handshake Speeches of President Uhuru Kenyatta and the Former Prime Minister Raila Odinga in Kenya
Authors: Kioko Kimenye Patrick , Nancy Ong’onda Dr. Anashia , Makoti Dr. Vifu
Published: January 2022

Verbal communication through speech acts allows human beings to interact within the society. However, the goal of communication is only met if the speaker and listener understand one another. This research aims to analyze assertive illocutionary speech acts in post handshake speeches of President Uhuru Kenyatta and the former Prime Minister Raila Odinga in Kenya. The research applied the Speech Act theory by Austin (1962) and Searle (1969) since the goal of communication through language is constrained by Speech Acts. The research was anchored on a descriptive research design. Data was collected from recorded speeches on you-tube through checklists. The sample size consisted of 20 selected speeches that were sampled through downsizing sampling techniques. Through descriptive quantitative analysis 125 assertive utterances were revealed. The analysis reveals that both President Uhuru Kenyatta (52%) and Former Prime Minister Raila Amolo Odinga used assertives in their post handshake speeches (48%). In both speeches asserting was the most dominant act (33%) uttered by both President Uhuru Kenyatta and former Prime Minister Raila Amolo Odinga. Other acts included reporting (23%), explaining (22%), showing something (12%) and suggesting (10%). The findings also show the use of language in political speeches aims at achieving a certain communicative intent such as persuasion. The study recommends that the government, policy makers, and stakeholders should always pay close attention to the political leaders’ language use in regard to a key subject such as peace, nationhood and unity. This is because the politicians may misinterpret any ideology and political intentions in illocutionary acts that it being sold to masses.
INTERVENÇÕES TERAPÊUTICAS PARA A SÍNDROME DE BURNOUT EM PROFISSIONAIS DA SAÚDE DURANTE A PANDEMIA DE COVID-19: REVISÃO INTEGRATIVA DE LEITURA
Authors: Silva Amanda  Viana Costa da , Ribeiro Ana Laura Valadares , Fonseca Ana Luísa Couto , Araujo Brena Peqna de , Caixeta Cezar Augusto , Alves Lorena Cristina , Salomão Roggers Oliveira , Silva Danielly Beraldo dos Santos , Barros Gérsika Bitencourt Santos
Published: January 2022

OBJETIVO: analisar as evidências científicas disponíveis na literatura sobre as intervenções terapêuticas aplicadas à Síndrome de Burnout em profissionais da saúde durante a pandemia da COVID-19. MÉTODO: Foi realizada uma revisão integrativa entre os meses de agosto e outubro de 2021, no qual foram consultadas as bases de dados e portais PubMed, BVS, SciELO, Google Acadêmico e Portal de Periódicos da CAPES, resultando em onze artigos analisados. RESULTADOS: A análise dos artigos incluídos no estudo permitiu verificar que intervenções de autocuidado e organizacionais em profissionais das áreas da saúde contribuíram para redução de sintomas da Síndrome de Burnout. Os estudos relataram que as medidas de intervenções terapêuticas que foram implementadas, entre elas a aromaterapia, musicoterapia, a aplicação da EFT, estratégias de LMX, minimizam os efeitos dos fatores que contribuem para o aumento da Síndrome de Burnout nos profissionais de saúde, assim como a reorganização da jornada de trabalho e melhorias no ambiente de trabalho que favoreçam uma percepção mais positivas da prática profissional. CONCLUSÃO: A pandemia da COVID-19 contribuiu para o aumento da prevalência da Síndrome de Burnout em profissionais da saúde. Desse modo, as medidas como educação sobre saúde mental, bem como intervenções terapêuticas para aqueles já acometidos pela doença são fundamentais para que o profissional mantenha seu bem-estar físico e mental.
O PAPEL DA ESCOLA NA SOCIEDADE CONTEMPORÂNEA: FORMAÇÃO BASEADA EM VALORES E O IDEÁRIO DOS SABERES.
Authors: Moraes Armesto Leonardo , Paiva Gonçalves Bispo Patrícia
Published: January 2022

A escola historicamente fundada no alicerce de reforçar os dogmas ideológicos da classe dominante, encontra-se em um conflito essencial onde o clamor por mudanças na forma de conduzir o processo educacional é chamado a tona. Contextualizar a formação baseada em valores, é complexo e de difícil classificação, pois o contexto epistemológico do que são valores, quais as definições e como deve ser trabalhado em sala de aula, causa calafrios aos pedagogos. Contudo, sua interface com o se entende por saberes, dá luz ao desdobramento das múltiplas fundamentações da sociedade e em sua estrutura do conhecimento. Assim definir o papel da escola na transmissão de valores e saberes na atual sociedade, permeada de interculturalidades e interpretações de contexto sociais diferentes, requer uma ampla discussão e debate acerca do tema.
A VOICE CONTROLLED HOME AUTOMATION SYSTEM.
Authors: Maharana Priyanka , Mahapatra Arpita
Published: January 2022

Home automation is the process of making the home appliances operate on the voice command or the movement. For the current research work the voice-controlled home automation is considered. In the current research work the main objective is to develop a voice-controlled home automation system. The appliances like light, fan and door have been considered for making them operate on voice command. For developing the project the ESP 8266 wifi module is considered along with servo motor, toy motor, light and fan. All of the appliances are configured by using the Blynk application and IFTTT server. Finally, Arduino IDE is used configure all of the devices and to sketch the code to the WIFI module to let the appliances run from a mobile device through google assistant.
A Performance Comparison between GIS-based and Neuron Network Methods for Flood Susceptibility Assessment in Ayutthaya Province
Authors: Vajeethaveesin Thanat , Panboonyuen Teerapong , Lawawironjwong Siam , Srestasathiern Panu , Jaiyen Saichon , Jitkajornwanich Kulsawasd
Published: January 2022

Flooding has been a long withstanding issue in Thailand. Due to its geographical setup, mitigation and management of floods are challenging and hard to execute. One of the tools used in managing the events is “flood susceptibility mapping,” in which an incident probability as well as a rescue path is estimated and planned. To create one, the traditional GIS method called FRAM (flood risk assessment model), combined with AHP (analytical hierarchy process), is used and implemented on ArcGIS software. In this method, we first created a comparison table to compute weights for each of the selected factors. Then the computed weights were used in the FRAM model in ArcGIS to create a flood susceptibility map for each region. Each region was then classified as very high, high, medium, low, and very low risk. On the other hand, in computer science, machine learning and AI are prevalent and being adopted to various domains, promising the effectiveness of the method, potentially beat the forementioned traditional method. Therefore, ANN (artificial neural network) is adopted in this work to create the flood susceptibility map. The ANN technique is developed by using causal factors. The ANN classifies areas as either flood areas or flood-free areas. The 2 methods from different disciplines (GIS and Computer Science) are applied and described in this paper with the intention to prove whether the machine learning is really efficient and can outperform the traditional GIS approach. Data on Thailand’s Ayutthaya Province is used in this work as a case study - in order to assess flood prone areas and compared for performance evaluation. Both of which use the 6 selected factors according to the literature: (i) flow accumulation, (ii) elevation, (iii) land use, (iv) rainfall intensity, (v) slope and (vi) soil types. The results from the 2 methods were verified with historical flood data and compared. The results showed that ANN (obtained via sensitivity analysis) outperformed the FRAM with precision of 79.90 %, recall of 79.04 %, F1-score of 79.08 % and accuracy of 79.31 %. In addition, we found that (according to our ANN experiments) the main causal factors related to flood susceptibility map only included 3 factors: flow accumulation, elevation, and soil types. Therefore, the proposed methodology for assessment of flood susceptibility areas using these 3 factors could be considered sufficient and applied to other regions in related applications, when needed.
Modeling of 7 Nano Meter Fin Field Effect Transistor for Evaluation of Fringe & Oxide Capacitance
Authors: Jagtap Sarika Madhukar , Gond Vitthal Janardan
Published: January 2022

Fin-FET are insusceptible to short channel effects punch through, threshold voltage, leakage current but their concerts at high frequencies are conceded due to durable fringing field between gate and source with drain area. Because of high-technology progression, the gate construction of MOSFET has been upgraded from planar to nonplanar with an enrichment in the number of monitoring gates multiple gates on 3 sides. In this paper we mention Fin-FET assembly for high frequency applications.

MOS-FET plays very energetic role but scaling of device affected on performance parameters like speed and power. Fin-FET is non planar novel device to solve the short channel effects which occurs due to scaling. Non-planar structure of Fin-FET parasitic capacitances like gate oxide overlap and fringe capacitance makes adverse effect like lower switching speed of device, making result on delay ion and ioff of device. In this paper we planned Fin-FET design procedure to measure oxide and fringe capacitance with low k dielectric spacer thickness and increase ion to recover device driving ability. Effect on threshold voltage having observed with low k spacer at least count of 0.051 V.  By using 4.65 eV metal gate work function with front, top and back gate we control leakage current and threshold voltage. Seven nano meter gate length Fin-FET is design We measured oxide capacitance of 0.464 F for 19.28 GHz and fringe capacitance (69.66 nf) for 4.88 GHz frequency by designing the Fin-FET with high-K SOI MOSFETs which support 11.4 nA leakage current to improve the speed of the processor.

In this research work, design topologies of Single Finger Fin Filed Effect Transistors are discussed and evaluate the probable result of fringe and parasitic capacitance from fringing area on the device. By using geometry of device like fin width, height, thickness and multiple fingers we measure the fringe capacitance and oxide capacitance of designed Fin-FET.

HIGHLIGHTS

In this Paper, we focus on fundamentals of novel device Fin-FET its working construction & design based on geometry parameter & capacitance measurement by designing model of 7 nm gate length

In this work, we focus on how Fin-FET helps to reduce short channel effect by possessions of geometry parameters like gate length and Fin thickness & progress the performance of the nanoscale device

From the simulation results we observe lowering of drain induced barrier lowering, subthreshold slope and leakage current, whereas threshold voltages rise

From the observation, SCE has been attributed to the distribution of the junction electric fields into the channel region, producing lower DIBL which decreases VTH

GRAPHICAL ABSTRACT
The Effect of Erosion Control Practices on the Vulnerability of Soil Degradation in Oued EL Malleh Catchment using the USLE Model Integrated into GIS, Morocco
Authors: Mazigh Nouhaila , Taleb Abdeslam , Bilali Ali El , Ballah Abderrahmane
Published: January 2022

Water erosion is a major problem in semi-arid region where decreases the dam reservoir design capacity, agricultural yield productivity, and increases other environmental impacts. This phenomenon is widely predominant in Morocco, particularly in the Oued El Malleh watershed in the Casablanca Settat region. Most soil erosion happens gradually which makes it challenging to notice. Hence, the monitoring of soil degradation under a modelling-based, such as Geographic Information System (GIS) can help the decision-makers to quantify the eroded soil and choose the best mitigation measures. Many erosion control practices have been implemented in The Oued El Malleh watershed in 2008, which covers a surface area of 3127 km2.  Even though, the soil erosion still dramatic in the region. To date, no one has attempted to work on the impact of the soil conservation factor at the level of the Oued El Malleh watershed, as well as monitoring the sustainability and effectiveness of the water erosion control practices already implemented. Therefore, periodic monitoring and evaluating soil degradation is imposed. To achieve this purpose, we used the Universal Soil Loss Equation (USLE) to spatially assess water erosion in the study area, to find out the most vulnerable area to erosion, to notice the efficiency of the actual erosion control practices and elaborate on new mitigation measures. The results of this study have been shown that the rate of soil loss in the Oued El Malleh, including the actual control erosion interventions, varies from 0 to 90 t. ha-1.year-1; with an average erosion rate of 0.65 t. ha-1.year-1. The study area characterized by a moderate to severe slopes, in some area, the Length and Steepness Factor LS exceeds 90 %. For this reason, we have been elaborated new soil loss map, including soil conservation measures according to the slope. The soil loss rate; following this approach; varies from 0 to 64 t.ha-1.year-1. Furthermore, the followed approach could be valuable for assessing the soil loss in similar area.

HIGHLIGHTS

Casablanca-Settat agricultural lands become progressively infertile and depleted soils

Soil degradation by water erosion is a tidal problem in the Oued El Malleh watershed

Soil loss was estimated at a watershed level using the USLE model and ArcGIS tool

The soil loss rate is estimated to be 0.65 t. ha-1.year-1, and the average sedimentary yield is found at 8.27 t. ha-1.year-1

Sustainable land management can limit soil degradation

GRAPHICAL ABSTRACT
Brèves de l’EULAR 2014 Physiopathologie et rhumatismes
Authors: Lounici Yasmine
Published: January 2022

Plusieurs sessions ont été consacrées aux implications des acteurs de l’immunité dans la physiopathologie des maladies auto-immunes permettant d’utiliser de nouveaux marqueurs diagnostiques. Et en maitrisant ces éléments, une prise en charge plus rapide et une thérapeutique adaptée pour les patients devient possible.
Brèves de l’EULAR 2014 Polyarthrite rhumatoïde : aspects cliniques et comorbidités
Authors: Hmamouchi Ihsane
Published: January 2022

- L’évolution de la PR ainsi que les dégâts structuraux au cours des dernières années semblent être moins sévères. - Le début tardif de la maladie chaque année est intéressant à surveiller. En revanche, les caractéristiques pathognomoniques de la PR, telles que les érosions et facteur rhumatoïde n'ont pas changé au fil du temps. - Il existe une baisse significative dans les taux de recours à la chirurgie de la main et du pied au cours du temps, en parallèle avec l’usage de traitements plus intensifs, plus précocement. - Les patients provenant de pays à faible PIB ont une maladie plus sévère (DAS28 plus élevé) mais de meilleurs scores d’évaluation de patients (EVA douleur et fatigue plus faible). - Les patients atteints de PR ont un risque accru d'infections graves de tout type, en tête de liste viennent : les infections pulmonaires, osteo-articulaires et hématologiques. La cause bactérienne est la première retrouvée. - L’association entre le début des symptômes et la durée d’obtention de la rémission persistante est non linéaire. La durée de la fenêtre d’opportunité varierait entre 13 et 19 semaines après le début des symptômes.
Brèves de l’EULAR 2014 Traitement de la polyarthrite rhumatoïde
Authors: DJEBBAR Mourad
Published: January 2022

plutôt que de rapporter les abstracts classiques et d’importance reconnue, ceux traitant de questions récurrentes, il a paru plus novateur de résumer des études et des points originaux. - Tofacitinib et risque de cancers : pas plus de cancers que dans la population témoin - Net effet préventif du méthotrexate et des anti TNF sur la survenue des complications thrombotiques vasculaires chez les malades atteints de polyarthrite rhumatoïde, de psoriasis cutané et de rhumatisme psoriasique - Etude à 1 an de la tolérance du tocilizumab (TCZ) (étude du registre français REGATE). Les évènements infectieux et autres complications habituelles sont similaires en fréquence à celles observées dans les études initiales d’extension, excepté en ce qui concerne les perforations intestinales qui sont 3 fois supérieures en fréquence mais pour lesquelles la responsabilité des stéroïdes associés semble plus à retenir - Des éclaircissements à travers quelques abstracts originaux à propos de l’arrivée des biosimilaires - L’intérêt de préférer la prise nocturne de glucocorticoïdes : méthode qui s’est avérée plus efficace pour prévenir les accès inflammatoires diurnes sans retentissement notable sur l’axe hypothalamique
Brèves de l’EULAR 2014 Sclérodermie systémique
Authors: Abdessemed Amina
Published: January 2022

- Critères ACR/EULAR 2013 pour un diagnostic précoce de la sclérodermie systémique. - Une meilleure évaluation de l’épaisseur cutanée par échographie à haute fréquence ! - Calcinose et acro-ostéolyse pourraient être liées à la perte capillaire sévère observée en capillaroscopie périunguéale - La troponine T est un marqueur de l’atteinte cardiaque infra-clinique au cours de la sclérodermie systémique, et apparait comme facteur prédictif de mortalité associée à la sclérodermie systémique notamment dans les formes sévères de la maladie. - Un nombre d’extrasystoles ventriculaires > 1280 est prédictif de décès par atteinte cardiaque au cours de la sclérodermie systémique. Intérêt de la pratique du holter-ECG chez les patients. - L’autogreffe de cellules souches hématopoïétiques offre l’espoir d’un traitement alternatif chez les patients atteints de sclérodermie systémique résistante aux traitements conventionnels.
PRIMARY SCHOOL EXPERIENTIAL EDUCATION IN WORLD AROUND US LESSONS
Authors: Lukočienė Violeta
Published: January 2022

Experiential education excites and involves primary school students. By participating in such activities, a teacher initiates and encourages freedom of creativity, spontaneous decision making, artistic expression, logical thinking and physical activeness. Students being involved in this active experiential process learn from each other, cooperate, develop their skills of making agreements. In order to have the most benefits from such education and be able to make conclusions or learn from it there is a crucial need for reflection. Students think over their roles in groups, level of their involvement, taking part in decision making which on the whole assists developing social competence and helps them apply gained skills in future life.
Keywords: experiential education, logical thinking, social competence
INFORMAL SCIENCE EDUCATION: METEORITES AS A SOURCE OF INFORMATION FROM SPACE
Authors: Rudnickaitė Eugenija
Published: January 2022

Information about space and meteorites is being activated by scientists in various fields. With the development of research methods, new facts unknown to science from previously fallen meteorites are being found.
Not all findings are supported by more accurate subsequent studies, so it is important to select reliable facts.
The purpose of this article is:
● to present selected research results of meteorites which are important for science;
● Teachers could integrate this information into Biology, Nature & man, Chemistry, Physics, World knowledge, Geography, etc.
Among other collections, the Museum of Geology of Vilnius University has a scientifically unique collection of meteorites, which is excellent for non-formal science education, dissemination of geoscience.
Keywords: meteorite, geology museum, informal science education, Vilnius University
From urban planning techniques to 15-minute neighbourhoods. A theoretical framework and GIS-based analysis of pedestrian accessibility to public services
Authors: Caselli Barbara
Published: January 2022

The enthusiasm with which several metropolises have promoted and embraced the idea of the '15-minute city' may now provide a useful opportunity to reflect once again on the well-known relationship between urban planning and mobility planning. Urban policies and plans are recently rediscovering a new focus on the proximity dimension and active mobility, progressively excluding the obsolete car-centric model. In this perspective, the paper aims at assessing 15-minute neighbourhoods through a GIS-based model to evaluate pedestrian accessibility to urban services and spaces. The implemented methodology integrates the assessment of walking distances and the mapping of the resident population distribution. The method is then applied to measure the current performance of an existing neighbourhood in Parma, assessing accessibility based on home-facility travel times and the resident population within reach. A reflection is proposed on what has been learned and on the possible contribution that the method can bring to urban monitoring and planning.
Scenarios for a Post-Pandemic City: urban planning strategies and challenges of making “Milan 15-minutes city”
Authors: Pinto Fulvia
Published: January 2022

This Covid-19 pandemic has imposed extreme impacts on many developed world global cities, especially those with high population densities and high levels of connectivity. Many cities are therefore experiencing a moment of global rethinking. In a few decades, we have gone from an idea of extreme density and the gentrification of cities to completely different proposals, such as the ‘the 15-minutes city’ concept where all services can be reached in a short distance. Within this context, the current paper aims to provide an overview of this concept and its application in the case of Milan by conducting desk research and analysing the official reports and documents. This paper discusses that the core idea of the 15-minute city is not new; the strategies can be traced back to different approaches to neighbourhood planning in the past century. In Milan, the municipality’s ‘2020 Adaptation Strategy’ proposed guidelines for sustainable transportation and self-sufficient neighbourhoods.
Capacity of deep learning algorithms on modelling pedestrian behaviour at crossings with countdown signal timer installations
Authors: Kopsacheilis Aristomenis
Published: January 2022

This paper attempts to investigate the capacity of different techniques in the modelling of pedestrian crossing behaviour in an urban signalised intersection with a Countdown Signal Timer (CST). Initially, two (2) models were used for the estimation of the average pedestrian crossing speed. The first model was a Linear Regression (LR) model, while the second one was a Deep Learning (DL) model. The R2 value of 0.56 for the DL model indicated a significant improvement in performance, in contradiction to the R2 of 0.22 for the LR model. Afterwards two (2) more models were exploited for the classification of pedestrians in terms of their crossing behaviour. At first, a Multinomial Logistic Regression (MLR) model was used as baseline, achieving an overall accuracy of 98.2%. A DL was then fit, which reached an accuracy of 99.6% and managed a better classification for the minority classes compared to the base model.
Cosnova erzielt trotz Corona einen Rekordumsatz
Authors: Brändlein Philip
Published: January 2022

Der Mengenmarktführer im Make-Up-Geschäft, Cosnova, hat 2021 einen höheren Umsatz als vor Beginn der Pandemie erzielt. In diesem Jahr soll die Online-Präsenz des Unternehmens deutlich ausgebaut werden.
Darboven setzt gleiche Menge zu geringerem Preis ab
Authors: Sachsenröder Delphine
Published: January 2022

Corona hat J.J. Darboven das Jahr 2020 vermiest. Statt im lukrativeren Gastronomie-Geschäft musste der Konzern seinen Kaffee vermehrt im Einzelhandel absetzen. Darunter hat die Marge gelitten. Dazu kam Ärger um kompostierbare Kaffeekapseln.
Alkoholfreies hilft Krombacher
Authors: Holst Jens
Published: January 2022

Angesichts des nachlassenden Bierabsatzes gewinnt das Geschäft mit alkoholfreien Getränken für Krombacher an Bedeutung. Auch 2021 hat die Kategorie der Braugruppe geholfen. Sie soll dies im neuen Jahr weiter tun.
Handel startet Wettbewerb um Haltungskennzeichnung bei Milch
Authors: Lenders Dirk
Published: January 2022

Gleich zu Jahresbeginn versuchen die Händler, sich mit Initiativen zur Haltungsformkennzeichnung bei Milch zu übertrumpfen. Molkereien und Bauern üben Kritik und stellen Forderungen auf.
Abschwung mit Ansage
Authors: Himberg Mathias
Published: January 2022

Der Brexit hat die Lebensmittelwirtschaft in Deutschland und Großbritannien von Anfang an behindert. Jetzt verschärfen zusätzliche Kontrollen die Situation. Mathias Himberg
„Man muss monatelang Arbeit investieren“
Authors: Loderhose Birgitt
Published: January 2022

Bringoo liefert aus lokalen Märkten des Discounters Penny und selbstständiger Kaufleute online bestellte Lebensmittel zu den Kunden nach Hause. Damit unterscheidet sich das Hamburger Startup von Quick-Service-Anbietern mit eigenen Lagern.
„Das Angebot wird die Nachfrage machen“
Authors: Hebben Miriam
Published: January 2022

Johannes Sausen ist Head of Consumer & Retail bei der IKB Deutsche Industriebank. Sein Team betreut auch Unternehmen der Fleischwirtschaft.
JD.com eröffnet Robo-Stores
Authors: Bökamp Lena , Giuri Maurizio
Published: January 2022

Erstmals tritt mit JD.com ein chinesischer Händler mit stationären Läden in den europäischen Markt ein. Das Omnichannel-Konzept "Ochama" soll Kunden preislich und beim Service überzeugen.
Allos setzt auf digitale Kompetenz
Authors: Nusser Bernd
Published: January 2022

Die zum französischen Unternehmen Ecotone gehörende Allos Hof-Manufaktur versteht sich als Bio-Spezialist. Das Unternehmen baut gleichzeitig immer mehr Online-Marketing-Expertise auf.
Tierwohl versus Tierwohl
Authors: Vetter Bernhard
Published: January 2022

Frankfurt a.M. Seit Jahresbeginn gilt in Deutschland das Tötungsverbot für männliche Hühnerküken. Die Konsequenzen sind über die Geflügelbranche hinaus spürbar.
Hohe Maisernte entspannt Weizenbilanz
Authors: Behme Dagmar
Published: January 2022

Frankfurt a.M. Der internationale Weizenmarkt hat sich diese Woche geringfügig abgekühlt, die Grundstimmung bleibt aber hitzig. Befürchtungen über eine enge Versorgung sind nicht ausgeräumt.
Árboles del Santuario Histórico de Machu Picchu: Monitoreo de diversidad y carbono a largo plazo
Authors: Monteagudo Abel , Núñez Percy , Galiano Washington , Tupayachi Alfredo , Valenzuela Luis , Calatayud Hermoza Gloria , Huamantupa Chuquimaco Isau
Published: January 2022

Entender cómo la riqueza, diversidad y almacenamiento de carbono varían y se distribuyen a través de una gradiente altitudinal en los bosques montanos andinos es fundamental para entender cómo estos bosques se están adaptando a los efectos del calentamiento global. Exploraciones botánicas y colecciones generales fueron realizadas en el Santuario Histórico de Machu Picchu (SHM) desde los 1600 a 4200 m.s.n.m. Además, se establecieron dos parcelas permanentes de 1.0 ha en los sectores de Intipunku (SHM–01) a 2653 msnm y Kantupata (SHM–02) a 3200 msnm, con la metodología estandarizada de RAINFOR en el año 2013, y fueron remedidas en el 2016. Las determinaciones indican que existen 364 especies en el Santuario Histórico de Machu Picchu, incluyendo las especies silvestres como cultivadas, helechos arborescentes y palmeras. En los últimos años, cuatro especies nuevas para la ciencia cuyas colecciones tipo son provenientes de los bosques del SHM fueron descritas: Ocotea alveata van der Werff, Ocotea mollivillosa van der Werff (Lauraceae), Bunchosia cuscana W.R. Anderson (Malpighiaceae), Ficus machupicchuensis C.C. Berg (Moraceae). En las dos parcelas permanentes se registraron un total de 69 especies en 1286 individuos. Individualmente en la parcela SHM–01 se registraron 26 familias, 36 géneros y 45 especies en 682 individuos; y en la parcela SHM–02: 22 familias, 28 géneros y 31 especies en 604 individuos. La biomasa aérea almacenada fue mayor en el sector cuyas colecciones tipo son provenientes de los bosques del SHM fueron descritas: Ocotea alveata van der Werff, Ocotea mollivillosa van der Werff (Lauraceae), Bunchosia cuscana W.R. Anderson (Malpighiaceae), Ficus machupicchuensis C.C. Berg (Moraceae). En las dos parcelas permanentes se registraron un total de 69 especies en 1286 individuos. Individualmente en la parcela SHM–01 se registraron 26 familias, 36 géneros y 45 especies en 682 individuos; y en la parcela SHM–02: 22 familias, 28 géneros y 31 especies en 604 individuos. La biomasa aérea almacenada fue mayor en el sector Intipunku (146 Mg ha ) que en el sector de Kantupata (101 Mg ha ). Nuestras investigaciones demuestran que los bosques Andinos de Machu Picchu proveen importantes servicios ecosistémicos y presentan un gran potencial para nuevas investigaciones científicas. El descubrimiento continuo de nuevas especies de árboles en la localidad demuestra la necesidad de conservación para proteger bosques que soportan algunos de los niveles más altos de endemismo en el mundo.
A comparative study of deep learning algorithms for hate speech detection on Twitter
Authors:   , Mutanga Raymond
Published: January 2022

Hate speech is an undesirable phenomenon with severe psychological and physical consequences. The emergence of mobile computing and Web 2.0 technologies has increasingly facilitated the spread of hate speech. The speed, accessibility and anonymity afforded by these tools present challenges in enforcing measures that minimise the spread of hate speech. The continued dissemination of hate speech online has triggered the development of various machine learning techniques for its automated detection. However, current approaches are inadequate because of further challenges such as the use of domain-specific language and language subtleties. Recent studies on automated hate speech detection have focused on the use of deep learning as a possible solution to these challenges. Although some studies have explored deep learning methods for hate speech detection, there are no studies that critically compare and evaluate their performance. This work investigates the use of deep learning algorithms as possible solutions to hate speech detection on Twitter. Three taxonomic classes of deep learning algorithms, namely, Traditional deep learning algorithms, Traditional algorithms with partial attention mechanism and Transformer models, which are entirely based on the attention mechanism, are evaluated for performance, using two publicly available corpora. One of the datasets contained 24 786 tweets annotated into three different classes, while the other dataset contained 2300 tweets annotated into two different classes. All tweets from the two datasets were first preprocessed to rid of them of characters and words deemed irrelevant to the classification decision, for instance, hashtags, stop words and punctuation marks. The preprocessed text was then transformed into feature vectors which were used as input for deep learning algorithms explored in this study. A series of experiments were performed to measure the performance of the deep learning algorithms in hate speech detection. The algorithms were tested on a wide spectrum of tweets containing different forms of hate speech. The efficacy of the deep learning algorithms was objectively evaluated using six state-of-the-art statistical evaluation metrics: precision, Fmeasure, recall, accuracy, Mathews correlation coefficient and area under the curve. The results from this study indicate that variations in parameters do not impact the efficacy of deep learning algorithms by the same proportions. The findings of this empirical study, therefore, provide deep-learning practitioners with a better understanding of the adaptation of robust deep-learning techniques for automated hate speech detection tasks.
War or Peace Journalism? Study of Media Coverage by Russian Media Outlets of the Trade War Between China and the USA
Authors: Tuzov Viktor
Published: January 2022

In recent years, the trade war between China and USA became one of the most important crises not only in global economic relations, but also in the international political agenda. The trade war between the world’s major powers also involved the core countries from differing regions, due to the significance of the trading streams between China and the USA. Therefore, Russia as one of the core countries was also affected by this trade war and attempted to develop own policy and economic relations towards the two sides. The current research is devoted to analysing the Russian media coverage of the trade war between China and USA based on content analysis and the implication of structural differences existing in the current Russian media system into war and peace journalism paradigms.
Populist Dimension of Mediated Discourses About Corruption in Romania
Authors: Balaban Delia Cristina , Stoica Mihnea S. , Vincze Orsolya Hanna , Medveschi Iulia
Published: January 2022

Understanding populism as a communication strategy (Aalberg et al. 2017) that is based on both messages and styles (Engesser et. al., 2017), the present research investigates the populist elements of political discourses articulating the subject of “corruption” in the context of the attempts to change the anti-corruption legislation by the Romanian government in 2017–2018. Based on audience preferences and on the density of political communication conducted by both political and media actors, the study conducted content analysis articles from three major Romanian TV-related news portals during February 2017 and May 1 – June 5, 2018 (N=548). In addition, computer-assisted content analysis was performed on social media posts of political parties (N=875) and the posts of their leaders (N=540). The research not only identified elements of populist political communication both in the content and the style of corruption-discourses but also reflected the polarization of the Romanian media system.
The potency of blumeatin and luteolin as caspase-1 inhibitor by molecular docking
Authors: Pratama I Putu Ari Anggara Catur , Putra I Made Harimbawa , Pujasari Luh Wayan Sita , Dewi Komang Dian Merta Sari , Laksmiani Ni Putu Linda
Published: January 2022

COVID-19 infection induces inflammation by increasing cytokines such as IL-1b, IL-6, IL-18, IFN-γ, and TNF-α. IL-1b is generated by the involvement of caspase-1. Therefore, caspase-1 inhibitor can be potential for inflammation therapy caused by COVID-19 infection. This study aims to determine the potential of blumeatin and luteolin as anti-inflammatory agents by inhibiting caspase-1 using a molecular docking approach. This study was carried out by caspase-1 (PDB ID: 1RWK) preparation, blumeatin and luteolin structure optimization, docking protocol validation, and docking of blumeatin and luteolin on caspase-1. Bluematin and luteolin had a binding affinity of -5,63 kcal/mol and -5,93 kcal/mol, lower than Q158 native ligand (-3.92 kcal/mol). Similar amino acid residues in hydrogen bonds interaction were observed between Q158 native ligand, blumeatin, and luteolin with caspase-1 (GLN 283 and ARG 179). Blumeatin and luteolin are potentially anti-inflammation agents through the inhibition of the caspase-1 in silico.
Experimental and Theoretical Investigation of Performance of a Solar Chimney Model, Part I: Experimental Investigation
Authors: Shuia Essaied , Arebi Bashir , Abuashe Ibrahim
Published: January 2022

This paper presents the experimental data that was collected from a small pilot solar chimney. The experimental data together with ambient conditions are used to evaluate the performance and study the behavior of the solar chimney; this data will be used for comparison with theoretical models in another paper (part II). T e solar chimney prototype was designed and constructed at the Subrata Faculty of Engineering-Libya. The data were collected over several days of June 2011. T e solar chimney system contains twomain components; the solar collector and the solar chimney. T e solar collector roof has a circular area of 126 m2, the solar chimney is a PVC tube with an internal diameter of 0.2 m and the total height of the chimney is 9.8 m. T e measurements include the intensity of solar radiation inside/outside the collector, temperature and velocity of air at the entrance of the chimney, temperature and speed of wind outside the collector, temperature of the ground inside collector, and temperature measurements of air at specif c points at different levels throughout the collector. Solar irradiance was found to affect the chimney temperature and subsequently affect the chimney air velocity. T e experimental results showed that temperature differences of (30 – 45°C) were recorded between the ambient temperature and that of air inside the chimney in the middle of the day, where the highest air temperature of 73.4°Cwas recorded at the entrance of the solar chimney. The maximum air velocity of 3.6 m/s was recorded inside the solar chimney at noon on 9 June. Wind speed outside the collector had a small effect on the speed of the air inside the chimney and tends to change slightly, hence, can neglect influence of wind speed on the performance of the system. Also, the experimental results indicate that such type of system can trap a suffi cient amount of solar radiation, which elevates the air temperature to a sufficient value able to generate enough air f ow to operate a wind turbine to produce electricity; this means the solar chimney system for electricityproduction can work in the north-western part of Libya in the summer time at least.
Effect of Temperature and pH on Biogas Production From Organic Fraction-MSW
Authors: Ashur Mukhtar , Bengharbia Iman
Published: January 2022

The growing global energy demand pushes towards a higher share of renewable energy sources. Biomass energy is one of the alternative renewable sources, whereas municipal solid waste (MSW) is one of the important renewable resources estimated in millions of tons per year, about 50% of it is organic. This amount can be treated and used for methane production in anaerobic digesters. The objective of this study is to figure out the effect of temperature and pH on methane production in laboratory-scale batch reactor of 2L size. Experiments were conducted at 35°C, 45°C, 55°C, 65°C, and pH was controlled to be close to 7.0. It was found that mesophilic conditions at 35°C, yielded the highest biogas production, and the lowest production was at 65°C. pH below 6.0 inhibited production. The biogas share was about 45%, which is encouraging compared to other published results
أثر تطورات قطاع الطاقة على التنمية الاقتصادية في الجزائر في ظل البدائل التنموية الممكنة لقطاع المحروقات
Authors: العياشي زرزار , محمد مداحي
Published: January 2022

إن مشكلة نضوب مصادر الطاقة التقليدية الناشئ عن شراهة الدول الصناعية في حرق النفط والفحم، ناهيك عن ارتفاع أسعارهما وما ترتب على ذلك من مشاكل اقتصادية لدول العالم النامي، لمن أهم ما يدعونا إلى ضرورة الالتفات إلى ما أنعم الله به على بلادنا من مصادر للطاقة المتجددة، وضرورة استغلالها وذلك باستخدام تكنولوجيا حديثة تسمى التكنولوجيا الخضراء، إذ تشير التوقعات إلى أن الطاقات المتجددة ستلعب دورا متزايدا في المستقبل، وعليه فإن الدول ستواصل الاهتمام بالتطورات العلمية التي يتم تحقيقها في مجال تلك الطاقات، والتي من شأنها دون شك أن تلعب دورا رياديا في تحقيق التنمية المستدامة لاقتصادياته
Optimal Operating Point of a Hydrogen Fueled SOFC Models Using Al-Nour Softare
Authors: Musa Abdullatif , Arfa Ramadan , Agina Adel
Published: January 2022

The solid oxide fuel cell (SOFC) is considered extremely suitable for electrical power plant application. Both high temperature (HT) and intermediate temperature (IT) SOFC performances are investigated using models which are built-in Aspen customer modellers. Moreover, this paper introduces a new simulation software, called Al-Nour V.1.0-2012 software application. The interface of Al-Nour V.1.0-2012 software was mainly implemented based on the educational theory of User’s Split Attention, that is; the entire software works with only one screen for all operations without any scrolling (user-friendly interface). This application reflects the fact that Al-Nour software does not require the user to have any previous training. The performance of HT-SOFC and IT-SOFC models is evaluated and compared using both software applications.The simulation results show that the cell voltage value increases by raising the operating pressure, operating temperature, and hydrogen partial pressure. The electrical power output value from the SOFC is increased simultaneously by increasing the current density. Furthermore, the IT-SOFC has a higher cell voltage than the HT-SOFC.
Experimental and Theoretical Investigation of Performance of a Solar Chimney Model Part II: Model Development and Validation
Authors: Abuashe Ibrahim A. , Arebi Bashir H. , Shuia Essaied M.
Published: January 2022

A mathematical model based on the momentum, continuity, and energy balance equations was developed to simulate the behavior of the airflow inside the solar chimney system. The model can estimate the power output and performance of solar chimney systems. The developed mathematical model is validated by the experimental data that were collected from a small pilot solar chimney; (the experiment was presented in part I(. Good agreement was obtained between the experimental results and that from the mathematical model. The model can be used to analyze the solar chimney systems and to determine the effect of geometricalparameters such as chimney height and collector diameter on the power output and the efficiency of the system.
Estimating the Annual Global Solar Radiation In Three Jordanian Cities by Using Air Temperature Data
Authors: Abolgasem I. M.
Published: January 2022

Estimating solar radiation is an imperative requirement for solar energy development in Jordan. In this paper, a quantitative approach, based on Artificial Neural Network, was developed for estimating the annual global solar radiation of three Jordanian cities: Amman, Irbid and Aqaba. These cities are currently witnessing huge development and increasing demand for energy supply. Using a set of known meteorological parameters, two Artificial Neural Network (ANN) models with different architectures, called case 1 and case 2, fed with three types of learning algorithms for data training and testing, were designed to identifythe optimum conditions for obtaining reliable and accurate prediction of the solar radiation. The results showed that model case 1 performed generally better in terms of predicting the annual GSR (96%) compared to model case 2 (95%). Furthermore, the algorithms LM and SCG, in general, ensured the highest efficiency in training and testing the data in the designed models compared to the GDX algorithm. Therefore, model case 1, designed with one of these two algorithms, is selected as the optimal model design that is able to compute with high accuracy the annual solar radiation for the three studied cities.
The Prediction of Solar Radiation for Five Meteorological Stations in Libya Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Authors: Alzukrah Muna A. , Khalifa Yosof M.
Published: January 2022

The prediction of solar radiation is a very important tool in climatology, hydrology, and energy applications, as it permits estimating solar data for locations where measurements are not available. In this paper, an adaptive neuro-fuzzy inference system -ANFIS- is presented to predict the monthly global solar radiation on a horizontal surface in Libya. The real meteorological solar radiation data from 5 stations for the period of 1982 - 2009 with different latitudes and longitudes were used in the current study. The data set is divided into two subsets; the first is used for training and the latter is used for testing the model. -ANFIS- combines fuzzy logic and neural network techniques that are used in order to gain more efficiency. The statistical performance parameters such as root mean square error (RMSE), mean absolute percentage error(MAPE) and the coefficient of efficiency (E) was calculated to check the adequacy of the model. On the basis of coefficient of efficiency, as well as the scatter diagrams and the error modes, the predicted results indicate that the neuro-fuzzy model gives reasonable results: accuracy of about 92% - 96% and the RMSE ranges between 0.22 - 0.35 kW.hr/m2/day
إمكانية تسخين المياه المنزلية بالطاقة الشمسية في تحسين إدارة الطلب على الطاقة في ليبيا
Authors: Tawil Ibrahim. H. , Agha Khairy R.
Published: January 2022

شهد الطلب على الطاقة الكهربائية في ليبيا نمواً مستمراً في مختلف القطاعات، و ذلك بسبب النمو السكاني خلال العقود القريبة الماضية و بسبب التوسع في المشاريع الاقتصادية‏‏‏‏‏ للدولة الذي أدى إلى ارتفاع المستوى المعيشي وزيادة مستوى طلب الفرد على الطاقة الكهربائية، و لمجابهة هذا النمو المتزايد في استهلاك الطاقة الكهربائية فقد أُجري العديد من الدراسات و الأبحاث لوضع استراتيجية‏ وخطة زمنية واضحة على المدى المتوسط و البعيد لتغطية بعض من هذا الطلب بتطبيق مشروعات الطاقة المتجددة في القطاع المنزلي و زيادة مساهمتها في أنظمة التوليد المستقبلية مما يؤثر إيجاباً في الحد من الأحمال الكهربائية المستهلكة و يخفض انبعاث الغازات الضارة بالبيئة. و من أهم تطبيقات الطاقة المتجددة الممكن استخدامها في القطاع المنزلي أنظمة تسخين المياه بالطاقة الشمسية و ذلك َلأن الماء الساخن مطلب أساس لكافة المواطنين. و هذه الورقة تستعرض إمكانية َتسخين المياه بالطاقة الشمسية في ت ِسين إدارة الطلب على الطاقة في ليبيا وذلك بإجراء تقييم ومقارنة أوضاع تسخين المياه المنزلية بوضعها الحالي كهربائيا مع افتراض استبدالها تدريجيا بالسخانات الشمسية حتى سنة 2050 باعتبار سنة 2014 سنة أساسية، وباعتبار أن السخانة الشمسية توفر 70 % من الطلب على الطاقة في تسخين المياه، و تم استخدام دالة منطقية (Function Logistic)  لتخمين انتشار تقنية تسخين المياه بالطاقة الشمسية في القطاع المنزلي على مستوى ليبيا لكي لا يتم المبالغة في التقدير والتوقعات.