Political Leaders’ Communication: A Twitter Sentiment Analysis during Covid-19 Pandemic

<p class="Default"><em><span>The pandemic made it critical for political leaders to intensify measures in fight against Covid-19 and one such measure was building trust among public through communication. With exponential growth in reach of social media, while state political leaders have progressively used internet for election campaigns, limited studies have explored as to how leaders use this medium to communicate during crisis, what kind of information do they share and what are common issues addressed. This paper, using qualitative research design, analyses Indian political leaders’ communication on Twitter. Sentiment Analysis was carried to identify and extract subjective information in leaders’ communication using 29 Indian political leaders, wherein 12,128 tweets were extracted. Subjectivity scores depicted more than half of leaders had shared fact-based information, and Polarity scores indicated that almost 90% of leaders shared positive or neutral information thus leading to an inference that leaders share more of facts based and positive or neutral information rather than statements in form of opinions.</span></em></p>

Techno-Economic Analysis of Solar e-Cooking Systems for Rural Communities in Nigeria

This paper presents solar PV electric cooking systems to fill the gap of clean energy stove demand in Africa and in particular in rural communities. The design analyses of four different solar PV electric cooking configurations, based on resistive burner and induction burner, are presented. The levelised cost of energy (LCOE) of the solar PV induction e-cooking, with battery storage, is 0.39 $/kWh. Sensitivity analysis was done to ascertain the affordability range of solar PV e-cooking. It was shown that the combination of the reduced cost of investment and good sunshine would most likely make the solar PV induction e-cooking competitive. However, the acceptability of the solar PV induction cooking will require addressing some important technical, economic, policy and socio-cultural related barriers.

From controversy to complexity

A replication of previous research, this study sets out to re-examine language choice in note-taking for consecutive conference interpreting – a topic that is widely believed to be subject to conflicting evidence. Extending the existing database considerably, the study draws on data from seven different consecutive interpreting tasks involving five different languages and both interpreting directions (B into A and A into B) performed by ten participants with seven different language combinations. Interpreters’ notes from these performances served as the main data of the study, which was complemented by questionnaire data to form a mixed-methods design. Analyses of the interpreters’ notes identified the A language as by far the strongest determinant of language choice, above and beyond other language categories; this confirmed the results of the replicated research. The questionnaire data, however, did not mirror the patterns found in the interpreting data consistently, suggesting a complex interplay of behavior and norms. The article concludes with a discussion of these and previous findings, arguing for the topic of language choice in note-taking to be reframed as one of complexity rather than contradiction.

A Computationally Efficient Method That Predicts Light-Around for Both Gas- and Liquid-Fueled Combustion

Controlling light-around and re-light presents design challenges for gas-turbine manufacturers. Researchers have studied the detailed phenomena in laboratory experiments to elucidate controlling factors and modes of behavior. Several groups have reported high-fidelity simulations of the fluid dynamics, turbulent mixing and light-around phenomena using large eddy simulations (LES) on highly refined computational meshes. While such simulations can reproduce experimental observations, they are computationally expensive and tend to be impractical for routine design analyses. In this work, we present a less computationally intensive CFD approach, which has been tested against laboratory experiments using both gaseous-fuel injections and liquid-fuel injections. Results show that a consistent practice of mesh and model settings can be used for all the test cases considered. The simulations generate light-around sequences and total-ignition times that agree well with experimental measurements. Observed trends are predicted when varying burner spacing as well as the fuel and injection method.

Capabilities and Challenges Using Machine Learning in Tunnelling

Digitalization changes the design and operational processes in tunnelling. The way of gathering geological data in the field of tunnelling, the methods of rock mass classification as well as the application of tunnel design analyses, tunnel construction processes and tunnel maintenance will be influenced by this digital transformation. The ongoing digitalization in tunnelling through applications like building information modelling and artificial intelligence, addressing a variety of difficult tasks, is moving forward. Increasing overall amounts of data (big data), combined with the ease to access strong computing powers, are leading to a sharp increase in the successful application of data analytics and techniques of artificial intelligence. Artificial Intelligence now arrives also in the fields of geotechnical engineering, tunnelling and engineering geology. The chapter focuses on the potential for machine learning methods – a branch of Artificial Intelligence - in tunnelling. Examples will show that training artificial neural networks in a supervised manner works and yields valuable information. Unsupervised machine learning approaches will be also discussed, where the final classification is not imposed upon the data, but learned from it. Finally, reinforcement learning seems to be trendsetting but not being in use for specific tunnel applications yet.

The effect of an integrated reading and anxiety intervention for poor readers with anxiety

A recent systematic review has reported that poor reading is reliably associated with anxiety. However, we currently lack evidence-based intervention for children who have both poor reading and anxiety (PRAX). In this study, we tested a new PRAX intervention in 8- to 12-year-old children using a double-baseline intervention case series design. Analyses of both group and individual data revealed that 12 weeks of PRAX intervention significantly improved children’s reading and spelling accuracy, and significantly reduced both anxiety disorders and symptoms. These results support PRAX intervention as a treatment for comorbid reading and anxiety problems in children and pave the way to a randomised controlled trial.

RETRACTED: Potential effects of elevated temperature on seasonal movements in slipper lobsters, Scyllarides latus (Latreille, 1803), in the eastern Mediterranean

Retraction of: Mediterranean Marine Science http://dx.doi.org/10.12681/mms.22074, published online 13 July 2020Editor note: The authors are retracting this article.In the article, Potential effects of elevated temperature on seasonal movements in slipper lobsters, Scyllarides latus (Latreille, 1803), in the eastern Mediterranean (Vol. 21, 2020, https://doi.org/10.12681/mms.22074), authors J. Goldstein and E. Spanier have made an honest error in the inaccurate interpretation of their special scientific permit that afforded them the opportunity to collect wild-caught animals in the field and release them in their study area, in the marine reserve where this work was conducted. More specifically, the study component that refers to the ‘field tagging study’, was carried out without the full scope of permitting guidance unbeknownst to the authors. Dr. R. Yahel and E. Miller, Marine Ecologists of the Israeli National Park Authority (INPA), have pointed this out and have since requested that the article be removed given that the application of the special use permit was misinterpreted and not exercised in an appropriate manner. The authors were also not able to forward the INPA with the field’s raw data that have been lost since this field study was carried out over eight years ago. The authors were not aware of this discrepancy at the time the field study was carried out, but they have agreed to remove the article out of respect and admiration of the INPA and the continued protection and conservation of the Mediterranean slipper lobster in coastal Israeli waters. However, this action of retraction does not change the overall outcome of the paper’s finding including the study design, analyses, scientific integrity, or overall conclusions. The authors will plan on publishing the laboratory-based portion of this study as a stand-alone manuscript at a future date.

Design and Analysis of Cylindrical Dielectric Resonator Antenna for 5G Application

DRA’s are used for 5G communications of large bandwidth at sub 6GHz and millimeter to Terahertz. The channel capacity can achieve a very high data rate i.e. C=Blog2(1+SNR) where C is the channel capacity and B is the bandwidth of the channel. The cylindrical resonator antenna operating in hybrid HEM11⸹ mode. In this paper a cylindrical dielectric resonator antenna(CDRA) with frequency range (2-6GHz).The cylindrical dielectric resonator with radius r=10mm and height h=10mm. the CDRA material is alumina ceramic with a permittivity of εDRA is 9.9 and the resonant frequency is fr=4GHz. The substrate will be is Rogers RT 5880 with εr=2.2 and tan⸹=0.0009, the thickness is 1.52mm. The CDRA is excited about the microstrip line. so the cdra is coupled electromagnetically by this microstrip line and below the substrate, we have a ground plane with annealed alumina so we have no radiation or low below the substrate all the radiation is top of the CDRA. The proposed antenna is simulated using CST microwave studio software and the designed antenna will operate for 5G applications and we can consider massive MIMO antenna array configurations. This design analyses the parameters of CDRA.