How to Improve Customer Engagement in Social Networks: A Study of Spanish Brands in the Automotive Industry

The objective of this research is to identify to what extent volumes, components, time slots, and publication topics improve customer engagement with Spanish automotive brands through social networks. The study considers thirteen brands and the total number of publications created by them in 2020 (23,670 publications) on the social network Twitter. Applying machine learning algorithms followed by multiple linear regression techniques, the authors examine how the variables previously mentioned affect a customer engagement indicator developed for this purpose. The results reveal that while publication components (links, mentions, and hashtags) and the publication time slot do not affect customer engagement, the volume of retweets made by the brand and publications on customer experience topics (without a direct commercial purpose) significantly improve the customer engagement indicator. The authors conclude that customer engagement in social networks can only be improved by conducting exhaustive analyses of activity data for these platforms. However, such analyses must not be done via generic multisector analyses, which only generate superficial and inapplicable knowledge, but rather through detailed studies for each sector.

Restoration of Seismic Data Using Inpainting and EdgeConnect

Missing seismic data is largely present problem in the world. Lack of seismic data usually occurs due to some form of natural obstacle or legislative prohibitions of seismic exploration. Restoration of seismic data would allow locating of new oil traps and reduce the risk of unsuccessful drillings. The approach is based on deep learning (image inpainting) techniques, which will be applied on inline and crossline sections of a given 3-d seismic cube, in order to restore missing parts of sections. The study was provided for non-commercial purpose for the aims of scientific research. Data used in our experiments comes from open source typical Western Siberia field. Our approach uses Generative Adversarial Networks (GANs) for completing missing parts of images (sections), based on known parts. Method can be used for restoration of arbitrarily-shaped missing parts of seismic cube, but also for extrapolation purposes. Metrics used for model evaluation are correlation coefficient and mean absolute percentage error (MAPE) between original and inpainted parts of data. This paper applies modern approach from growing image inpainting field to restore missing data, even if it's irregularly-shaped and very large. Using very powerful GANs is what gives this model ability to learn difficult inpainting scenarios, but also implicates challenging and time-consuming training process. Accurate estimation of model performances in different scenarios provides an exact instruction manual for a geologist, which helps him to identify cases where our model should be applied.

Establishing a Nexus between On-Street Commercial Activities, Associated Environmental Risks Hazard Risks and Planning Policy: An Exploratory Analytical Approach

The paper established a nexus between on-street commercial activities, associated environmental and hazard risks and environmental planning policy in Ado Ekiti. In order to achieve the objectives, a series of survey was carried out. This included site visitation, field observation, and collection of relevant data through questionnaire. A total number of 800 lock up shops were identified in various locations in the study area meant for various commercial purpose and a further 1200 slots were added for hawkers, market induced service operators, road side traders, members of Drivers’ Unions, passengers, pedestrians etc, bringing the total number to 2000 out of which 10% was sampled totaling 200 respondents in all. The two hundred respondents were randomly stratified from the Atikankan, old garage, Mathew, Irona, Ojumose, Oke-Iyinmi and Idolofin area. Out of the 200 questionnaires, only 199 were filled and returned. The study revealed that on-street commercial activities were responsible for several environmental problems and other hazards in the study area, thereby frustrating environmental planning policy. It is recommended that a more efficient rerouting of traffic along major high ways and around market locations must e adopted. Markets like Oba’s Market, Bisi Market, Erekesan Market should be developed to meet the global standard. Enough parking spaces should also be provided around these Markets to ease the commercial activities in the study area among others.

Article 24—Amendments to Directives 96/9/EC and 2001/29/EC

This chapter cites Article 24 of the European copyright directive in the Digital Single Market, Directive 2019/790, which begins with an amendment of Directive 96/9/EC on the legal protection of databases. It looks at the replacement of Article 6 of Directive 96/9/EC, which deals with the use of data for the sole purpose of illustration for teaching or scientific research. It also mentions the revision of Article 9 that covers the extraction for the purposes of illustration for teaching or scientific research, which is indicated and justified by a non-commercial purpose. The chapter highlights the amendment of Directive 2001/29/EC on the harmonisation of certain aspects of copyright and related rights in the information society. It discusses the changes in Article 5 of Directive 2001/29/EC, which outlines specific acts of reproduction that are made by publicly accessible libraries, educational establishments, museums, or archives.

High Performance Thin Layer Chromatography Fingerprinting Studies of Croton klotzschianus (Wight) Thw.

Most of the traditional medicinal plants in India are not scientifically validated. Scientific evaluation along with traditional knowledge is essential to obtain effective drugs for commercial purpose. The present study was aimed at High Performance Thin Layer Chromatography (HPTLC) analysis of ethanol extracts of leaf, stem and root of Croton klotzschianus. The chemical fingerprint through HPTLC Studies was carried out as per the standard method. The HPTLC shows ethanolic extracts of Croton klotzschianus at UV short and long wavelength 254 and 366 using Hexane: Ethyl acetate: Toluene: Chloroform: Methanol: Formic acid (4:2.5:1.5:0.8:1:0.2) as mobile phase and the Rf values were recorded. The HPTLC fingerprint profile of leaf, stem and root extracts was exhibits 12 peaks each. The results of qualitative phytochemical screening confirm the presence of flavonoids. The HPTLC analysis to help in proper identification and quantification of marker compounds.

Smart Circuit Breaker

This project is to supply single phase home appliances. This project is used for an alternative for MCB. MCB is fault current protective device which trip on fault current which flows in the circuit. MCB are based on the thermal bimetallic trip mechanism which is very slow and tripping time is based upon percentage of overloads MCB having bimetallic trip which gets derated after some mechanical operation and cause unwanted tripping. All the above faults will be overcome by smart circuit breakers which provide all types of protection such as overload, under voltage, high temperature and short circuit protection, this type of protection is necessary because, now days all, appliance such as LCD, Air conditioner, Refrigerator, etc consist of electronic circuitry which is voltage sensitive and get damage at voltage fluctuation. This project also monitors and display fault on LCD and stores the data for further action. Smart circuit breaker is fast acting and sense relay as fast as possible and trips the relay within 100msec. than MCB which takes 1000msec. to 1600msec. In addition to that LM 35 temperature sensor is also interface to microcontroller by if temperature exceed 550C microcontroller will trip the relay. The intention to use temperature sensor is to detect fire hazard in domestic purpose as well as commercial purpose.

Process validation of sucralfate oral suspension

Drugs are the critical elements in the health care system. They must be manufactured in the high-quality levels. End product testing by itself does not guarantee of the quality of the product. Quality assurance techniques must be used. In pharmaceutical industry, process validation performs this task, by ensuring that the process does what it purports to do. Validation is one of the important steps in achieving and maintaining the quality of the final product. If each step of production process is validated, we can assure that the final product is of the best quality. This study is intended to demonstrate and standardize the data that should be routinely included in the marketing authorization dossier describing evolution and validation of the manufacturing process and distinguish from the validation data which more properly fall under the remit of GMP inspection. During the study of critical process variables of sucralfate oral suspension were validated to demonstrate consistency of manufacturing process to produce the produce the product of desired quality. The validation studies were conducted which were intended for the use of commercial purpose so this validation study is concurrent type. All the in-process variables and finished product characteristics were monitored; the statistical analysis of data was carried out. Further from the results, it is inferred that the manufacturing process of sucralfate oral suspension was validated.

New Methods for UAVs Identification Based on the Physical Unclonable Functions (PUFs) of Electronic Devices

The latest decade witness an unprecedented development of the Unmanned Aerial Vehicles (UAV), as well as for the infrastructure necessary to integrate these items into the societal life. There are several millions of UAVs ranging from large size for military applications, to small dimensions used for commercial purpose and all of them are waiting for the moment when our society would be able to integrate them in a controlled manner in our life. This chapter presents several possible technologies to unique identify the UAVs and thus to create the proper environment for proper register and monitor them.

Traditional Uses, Phytochemical and Pharmacological Properties of Ficus auriculata: A Review

Ficus auriculata belongs to family Moraceae. It is also known as Elephant earfig tree because of its large leaves. In India it is commonly known as Timla, Gular , Tirmal, Timal, Timbal, Tremal, Trimmal.. The plants are mainly distributed in temperate, tropical and subtropical regions of about 1800–2600 m altitude. It is native to Asia, especially in India, China, Nepal, Bhutan, Pakistan, Myanmar, Thailand, Vietnam, Malaysia.The plants have great ethnomedicinal importance and are used in traditional folk medicine for curing many ailments in humans. The plants rich in Phytoconstituent e.g. alkaloids, carbohydrates, saponins, glycosides, phytosterols, resins, phenols, tannins, diterpenes, flavonoids, proteins, and amino acids which are present in barks, leaves and fruit extract. The review reveals that huge numbers of phytochemicals which was isolated from the plant possesses the biological and pharmacological properties are shown by the bark, leaves and fruits extract of Ficus auriculata i.e antioxidant, antibacterial, hepatoprotective, histopathological studies, toxicity activity, anticancerous, antidiabatic, hyperlipidemic, hyperglycemic and anti-inflammatory. Leaf extract has also an important role in Glutathione level in cardiac and also used as fodder for farming system, for medicinal properties and for further commercial purpose. Keywords: Ficus auriculata, Phytochemistry, Pharmacological Activity, Herbal Medicine