mm-adic residue codes over Fq[v]/(vs−v)\mathbb{F}_q[v]/(v^s-v)

Due to their rich algebraic structure, cyclic codes have a great deal of significance amongst linear codes. Duadic codes are the generalization of the quadratic residue codes, a special case of cyclic codes. The $m$-adic residue codes are the generalization of the duadic codes. The aim of this paper is to study the structure of the $m$-adic residue codes over the quotient ring $\mathbb{F}_{q}[v]/(v^s-v).$ We determine the idempotent generators of the $m$-adic residue codes over $\mathbb{F}_{q}[v]/(v^s-v)$. We obtain some parameters of optimal $m$-adic residue codes over $\mathbb{F}_{q}[v]/(v^s-v),$ with respect to Griesmer bound for rings

Synthesis and antimicrobial evaluation of some novel sulfonylamido-benzoxazoles

A series of 2-(p-substituted phenyl)-5-[(4-substituted phenyl) sulfonylamido]-benzoxazoles were synthesized and tested for their antimicrobial activities. The structures of the new derivatives were elucidated by spectral techniques. The minimum inhibitory concentrations (MIC) of the new benzoxazoles were determined against standard bacterial and fungal strains and drug-resistant isolates and compared to those of several reference drugs

Minimising the impact of disturbances in future highly-distributed power systems

It is expected that future power systems will require radical distributed control approaches to accommodate the significant expansion of renewable energy sources and other flexible grid devices. It is important to rapidly and efficiently respond to disturbances by, for example: utilising adaptive, wide-area protection schemes; proactive control of available grid resources (such as managing the fault level contribution from converter-interfaced generation) to optimise protection functionality; and taking post-fault action to ensure protection stability and optimal system operation. This paper analyses and highlights the protection functions which will be especially important to minimising the impact of disturbances in future power systems. These functions include: fast-acting wide-area protection methods using Phasor Measurement Units (PMUs); adaptive and “self-organising” protection under varying system conditions; protection with distributed Intelligent Electronic Devices (IEDs); enhanced fault ride-through; and pattern recognition based schemes. In particular, the paper illustrates how the increased availability of measurements and communications can enable improved protection functionality within distribution systems, which is especially important to accommodate the connection of highly-distributed generation at medium- and low-voltages

Effects of Data Enrichment with Image Transformations on the Performance of Deep Networks

Images cannot always be expected to come in a certain standard format and orientation. Deep networks need to be trained to take into account unexpected variations in orientation or format. For this purpose, training data should be enriched to include different conditions. In this study, the effects of data enrichment on the performance of deep networks in the super resolution problem were investigated experimentally. A total of six basic image transformations were used for the enrichment procedures. In the experiments, two deep network models were trained with variants of the ILSVRC2012 dataset enriched by these six image transformation processes. Considering a single image transformation, it has been observed that the data enriched with 180 degree rotation provides the best results. The most unsuccessful result was obtained when the models were trained on the enriched data generated by the flip upside down process. Models scored highest when trained with a mix of all transformations

Automatic and Accurate Classification of Hotel Bathrooms from Images with Deep Learning

Hotel bathrooms are one of the most important places in terms of customer satisfaction, and where the most complaints are reported. To share their experiences, guests rate hotels, comment, and share images of their positive or negative ratings. An important part of the room images shared by guests is related to bathrooms. Guests tend to prove their satisfaction or dissatisfaction with the bathrooms with images in their comments. These Positive or negative comments and visuals potentially affect the prospective guests. In this study, two different versions of a deep learning algorithm were designed to classify hotel bathrooms as satisfactory (good) or unsatisfactory (bad, when any defects such as dirtiness, deficiencies, malfunctions were present) by analyzing images. The best-performer between the two models was determined as a result of a series of extensive experimental studies. The models were trained for each of 144 combinations of 5 hyper-parameter sets with a data set containing more than 11 thousand bathroom images, specially created for this study. The "HotelBath" data set was shared also with the community with this study. Four different image sizes were taken into consideration: 128, 256, 512 and 1024 pixels in both directions. The classification performances of the models were measured with several metrics. Both algorithms showed very attractive performances even with many combinations of hyper-parameters. They can classify bathroom images with very high accuracy. Suh that the top algorithm achieved an accuracy of 92.4% and an AUC (area under the curve) score of 0.967. In addition, other metrics also proved the success..

Analysis of 1 st Grade Social Studies Curriculum 2018 in terms of Character Education

. In Turkey, 1st grade social studies curriculum was updated by Ministry of National Education in 2018. The purpose of the study was to analyze the curriculum in terms of character education. In detail, the study aimed to find out which learning outcomes of the 1st grade social studies curriculum indicate which characters under which categories namely “knowledge,” “attitude,” and “skill.” The study was designed as document analysis of qualitative research.  The document was the 1st grade social studies curriculum updated in 2018. The data were analyzed using both descriptive and content analysis. One of the results was that all the learning outcomes of the curriculum addressed at least one character under one of three categories “knowledge,” “attitude,” “skill.” Another result of the study showed that the characters indicated by the learning outcomes of the 1st grade social studies curriculum were interdependency, sensitiveness, cooperation, good manners, kindness, responsibility, patriotism/citizenship, unity of family, respect. Moreover, the results showed that each character addressed by the 1st grade social studies curriculum has width content.

An Example of ‘Character Education’ Course Design in the Light of ‘Experienced Centred’ Design for Higher Education

The purpose of this study is to design the course ‘Character Education’ in the light of the ‘experienced centred’ design and to assert an example of ‘Character Education’ course design for higher education students. The research was conducted during the 2015-2016 spring semester as an action research.  The participants consisted of 36 higher education students on the basis of the criterion sampling and convenience sampling methods. The data was collected throughout the course via open-ended questionnaire, interviews, and observation. Descriptive and content qualitative analyses were conducted. On the basis of the results of the data analysis, the purposes of the course were gathered under three main goals, the content of the course comprised of theoretical knowledge of and practice in character education, various methods and techniques, especially film and discussion, were used. The results of the assessment and evaluation part indicated that the course was effective and the students attained the goals of the course. Keywords: character education, experienced centred design, higher education, and course desig

Caustic Ingestion

Caustic ingestion with resultant esophagitis and gastritis is still an important social and medical problem due to early and long-term complications. This injury is seen frequently as an accidental event and may also lead to psychosocial impacts, including antisocial behavior, suicide attempts, criminal incarceration, and educational delinquency. It often occurs as a result of uncontrolled and unsafe storage of materials used in household cleaning. Despite the various treatment proposals, optimal management of the patients remains controversial. The presentation of the depth and extent of injury with endoscopy plays a key role in treatment planning. In the absence of life-threatening complications, the general approach is conservative management in the acute period. The most common complications are esophageal stricture and gastric outlet obstruction. Different treatment methods such as bougienage, stent application, balloon dilation, or esophageal replacement are used in the treatment of the caustic esophageal strictures. The decision of the least invasive method for the treatment of complications will reduce the potential hazardous results