Abstract:

In thıs study, metal matrıces composite samples, Al2024 and Al6061, has been
produced by powder metallurgy. Their partıcle sıze are 40 μm and 45 μm respectively and
12.5 μm partıcle sıze SiC powder helping with powder metallurgy. The diameter of chrome
steel ball used in technique was 10 mm and weight ratio was 6:1. A homogeneous micrp
structures have been obtaıned after SEM observatıons. Physıcal and mechanıcal propertıes has
been defıned by theorıtıcally and experımentally. Also, porosıty, hardness and thermal
conductıvıty of the composıtes have been ınvestıgated ın thıs study. As a result, ıs has been
achıeved that ıncreasıng of SiC content ıncreased the amount of pore ın composıte and thıs
ıncrease caused decrease ın the mıcrohardness.

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Abstract:

In geology, “Earthquake” refers to the shaking of the earth’s surface caused by the
spreading of seismic waves suddenly resulting from breaks in the earth's crust. In fact, an
earthquake is a natural phenomenon that shows that everything on earth deemed immobile by
people can be damaged. Unfortunately, are people not only unfamiliar with nature but also in
the habit of underestimating it. 92% of Turkey is located in the seismic belt. What is more, 95%
of the population, 98% of the industrial centers and even 93% of the dams are located in the
seismic belts. Since the Erzincan earthquake that took place on December 26, 1939, 1139
people have lost their lives, 2543 people have been injured and 7049 buildings have been
completely destroyed every year on average and a devastating earthquake has occurred once
every 1.1 years. Although there is not much to do when faced with the reality of earthquakes in
Turkey, at the core of this study is an enquiry into a model which will be a guideline for
earthquake survivors moving forward with their lives and psychological support provided to
them by professionals. The purpose of this model is to assist earthquake survivors to rebuild
their post-earthquake private and social lives.

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The worldwide environment consciousness has increased in healthcare sector while
globalization has led to major trend of medical products all over the world. Due to an increasing
recognition in environmental impact, hospitals are more precision towards when their
purchasing decisions making. The propose of this paper is to demonstrate the importance of
green purchasing practices and analyze the effect of environmentally friendly behaviors of
healthcare personnel on the purchase process of the public hospital. This study have intended
to understand the healthcare personnel behavior to purchase green products in context of a
developing country; Turkey. Data were collected from survey of healthcare enterprise in
Istanbul and analyzed using SPSS 22. A usable responses were collected with the help of a
questionnaire survey using the convenience sampling approach. The analysis result confirms
that the ecological awareness of healthcare personnel are significant in determining their
hospital’s purchase. The results show that green purchase behavior was significantly related
with environmentally friendly behavior in public hospital. The research findings provide useful
insights for healthcare sectors in Turkey to adopt green purchasing practices.

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Abstract:

The objective of this study was to determine the antimicrobial activity properties of
the wood water released from specimens during the drying process. The specimens were dried
using a high-frequency vacuum (HfV) drying method. Wood specimens from white oak
(Quercus alba L.), walnut (Juglans regia L.), and Eastern beech (Fagus orientalis L.) were
dried inside a drying kiln with settings of 7.56 MHz frequency, 39.19λ wavelength, and 0.5 to
0.97 mBar vacuum. The moisture content (%) of the white oak, walnut, and Eastern beech
specimens prior to kiln drying were 70% to 75%, 80% to 90% and 75% to 80%. Drying days
of wood specimens were 16, 10, and 8, respectively. The antibacterial and antifungal activities
of the wood water samples were determined using the microdilution method. According to the
antimicrobial test results, the best antimicrobial properties were found in the white oak’s drying
water, with only 6.3 mg/mL of K. pneumoniae bacteria.

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Abstract:

Non-relativistic shape dynamics is a Machian theory of particle interactions. It
comes with three constraints to be satisfied if the Newtonian absolute space is to be used. On
the other hand, Bohmian mechanics is a realistic interpretation of quantum mechanics. It is a
type of non-local hidden variables theory. We supplemented Bohmian mechanics with
appropriately calculated shape dynamics constraints to make it fully Machian.

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Abstract:

Breast cancer is a very common disease around the world and the second leading
cause of cancer death in women. Expert systems are developed using data mining methods in
order for disease diagnosis and significant tools for assisting medical doctors in their clinical
decision. In this study, k-Nearest Neighbors algorithm (k-NN) was used in order to classify
breast cancer disease. Besides, k-NN was implemented for different k values and the obtained
classification accuracies were compared with each other. According to the study results, it was
seen that breast cancer disease was successfully classified using k-NN.

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Abstract:

The automotive industry introduced the AUTOSAR standard for the development of
software for automotive electronic control units. With the availability of the AUTOSAR
Education Environment, students have the possibility to work with AUTOSAR-related hardand
software. This article gives information about the realisation of a first complete
AUTOSAR 4.0 Software Project at Institut für Regelungs- und Steuerungstechnik (Institute of
Automatic Control Engineering) of Universität Siegen.

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Abstract:

According to the United Nations of Sustainable Development Goal 2030 (SDG
2030) 17 topic concepts of which were announced and demonstrate the scale of the universal
Agenda for seeking to build on the Millennium Development Goals to complete achievement
in economic, social and especially in environmental.
The Goals and targets will encourage action in areas of critical importance for humanity and
the planet; in social development sector in Bangkok, Thailand has setting up the developed
project in the business training for bakery new entrepreneur based on the SDG2030
compositions which has combined within the concept by using the Eco techniques and
practices. To issue healthy product for customer by the key success idea of production
practices has realized for environment concerning, energy and reserving resource were saving,
from the beginning to end of process; as raw material preparing such as; use the organic and
non-hazardous which are the main materials and purified mixed such as; gluten-free, trans fat
free, low sugar, low GI, low sodium and non-genetically engineered or non-injections
products as the ingredients.
By selected the baking technique which has energy saving of less electricity power, gas, wind
and water supplied and used the packaging which can be decomposed in naturally instated of
foam packages types. To deliver the best qualities to customer and friendly environments till
the last consumer in life-cycle chain as fish and other spicy in environment.
After the project has implementation, Eco bakery, the contribution of Eco bakery production
has selected to evaluation by SDG2030 concept of No. 14 to ensure the products has friendly
with the environment or not, , “Eco bakery” which has been created the problem pollutions
for the river for long time ago by Thailand traditional yearly festival.
Eco bakery, which produces by SDG2030 concept as selected to be the treatment of the
experimental research was launched into the rivers and the seas in Thailand. The research has
operated to study the difference of water quality as BOD (Biological Oxygen Demand) Value
and DO (Dissolved Oxygen) Value that have analyzed by Laboratory in Thailand . The
research has operated found out the results has accepted the hypothesis at level with
significance.
Therefore, ECO Bakery for Friendly Environments in Ecological – cased studied of Eco
bakery in Thailand, has been the optional of the integrated and indivisible of SDG 2030 for
water pollution solution in action for environmental matters.

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Abstract:

In the study, a parametric nonlinear finite element (FE) study is performed in order to
investigate sensitivity of viscosity parameter on numerical simulation of RC deep beam behavior. For
this objective; a numerical verification of an existing experimental study of a deep beam is conducted
by using ABAQUS software with varied values of viscosity parameter. Results of the experimental and
numerical studies are compared in terms of load-displacement behaviors, and rate of convergence and
calculation time of the numerical models. Selection of an optimum viscosity parameter and its
definition to FE model improves significantly performance of convergence and reduces analysis time
of numerical simulations of RC deep beams.

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Abstract:

Large amount of water is utilized in the textile dyeing and finishing processes and
as a result of that, the treatment of this large amount of effluent creates cost and very important
environmental problems. Therefore, the “Green Production” concept is the first key issue as far
as the textile wet processes are concerned. In the last two decades, new technologies have been
utilized in order to minimize the processing time, energy consumption, water consumption and
the amount of effluent. “Green production” is a preventive business strategy in textile dyeing
and finishing industry and may include the following emerging technologies:
• use of ultrasonic energy in textile dyeing and finishing,
• use of microwave energy in textile dyeing, drying, and dye fixing,
• use of plasma technology in textile dyeing and finishing,
• use of supercritical fluids in textile dyeing and cleaning,
• use of ozone in bleaching of textiles and also in the treatment of dyeing effluents,
• use of combined enzymatic processes in the pre-treatment of textiles,
• use of the “Direct Dyebath Reuse” technology to minimize the amount of water to be used,
• reuse of recovered chemicals and dyes from processes and
• reuse of decolorized effluent in dyeing and finishing.
This current work will review the recent technology used in the textile wet processes with a
particular emphasis on the work carried out in the Turkish textile industry.

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Abstract:

This study focuses on the turnability analysis of MMD (Multi Motion Drive)
Machine, in general, of a planar parallel 3-RRR robot with three synchronously driven cranks.
There are simple geometric characterizations for both by coplanar carrier lines of the arms or
additionally by particular coplanar parallels. Finally, some inequalities investigated, which are
necessary conditions for the turnability of the driving shafts.

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Abstract:

The aim of this research is to study the ground resistivity of a region located at Bursa,
Eskikaraağaç village by using vertical electrical resistivity (VES) method which is one of the
geoelectrical methods. For that purpose, two Wenner arrays were applied on the ground. The
measured VES data is analyzed via software named RES2DINV. The program gives layer
thicknesses and real resistivity values on two dimensional underground resistivity sections.
Interpretations on the possible locations of water can also be made. These interpretations can
later be verified by drilling groundwater wells.

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Abstract:

In this study, strength losses due to fiber breaks in unidirectional cantilever beam
composites were investigated by vibration analysis. The fibers in a continuous Fiber Reinforced
Plastic (FRP) composites have the largest percentage of FRP composites determined.
Particularly the number of fibers in the continuous fiber used significantly affects the strength
of the FRP composite produced. Because the continuous fiber used can be damaged during
production or in composite manufacturing. For this reason, in this study, strength losses due to
fiber breaks in FRP cantilever beam composites are investigated by mechanical vibration
analysis. Finite element analysis (FEA) model is used for fiber breaks in composites. Damaged
Fibers that transfer mechanical loads completely to the resin cause the loss of strength in FRP
composites.

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Abstract:

In this article, we use a qualitative research method to reconstruct and analyze the
representations of college physics teachers from Quebec in Canada on the concept of matter.
We do this based on clinical interviews. This study shows that college teachers construct false
representations since they often rely on naive epistemology

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Abstract:

A planning exercise was carried out at the Veracruzana University, named
after the state of Veracruz, where it is located. The Faculty of Statistics and Informatics of the
University was, due to internal distancing among staff, on the verge of dissolution into two
separate entities, where neither one would be able to retain faculty status. An intervention was
programmed to explore the possibility that the members of the Faculty come up with a unified
vision of the institution and thus prevent dissolution. The planning exercise selected was the
Reflection and Design Conference (RDC), which is an adaptation of the Search Conference
(SC) methodology to the Mexican organizational culture. After an initial period of uncertainty
due to conflicting positions of some members of the faculty, a unified and consensual desired
future was achieved, and projects were designed upon diverse lines of action with the full
participation of faculty members, authorities and students. The intervention proved successful
in that members were able to set a path for the Faculty that allowed it to maintain its status.
The paper presents a brief summary of the RDC methodology, the process of implementation,
and the results achieved by members of the Faculty, with the hope of contributing to the
discussion on planning in educational institutional settings.

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Abstract:

The complexity of multidimensionality is one of the frequently encountered
problems in the high-dimensional data space. The fact that multidimensionality in the data
space increases and reaches great numbers brings about the problem that the number of
non-informative ones among the features associated with the target class increases along with
the data set complexity. The fact that all features included in the high-dimensional data space
are not distinctive or do not contain critical information generally leads to difficulties at the
learning stage. At this point, the importance of feature selection emerges. Feature selection is a
problem of minimum subset selection from the original feature set for the best accuracy
estimation. The neglected subject in the feature selection is ensuring that the inconsistency
problem of the selected feature sets is brought to a solution. Studies carried out in recent years
have focused on obtaining feature groups with which the group to which each feature belongs is
associated with a class label rather than standard feature selection methods in which a single
feature set is obtained. Within the scope of this study, each feature group obtained by
group-based learning was presented as a solution candidate to heuristic methods. This paper
proposes a novel feature selection method to Artificial Immune Recognition System (AIRS)
variations in order to find robust gene sets from high dimensional microarray data. The unique
feature of this feature selection method is that utilizes correlation based feature groups in order
to increase the reliable classifying accuracy from optimal feature groups. We test the
performance of the proposed local feature selection method for AIRS variations on high
dimensional microarray data sets. We compare proposed LFSAIRS variations which are
LFSAIRS1, LFSAIRS2, Parallel LFSAIRS1, and Parallel LFSAIRS2 with the Standard
Genetic Algorithm (SGA), Sequential Forward Selection (SFS) and Sequential Backward
Elimination (BES) approaches. Results of the robustness were evaluated by the Jaccard test and
classification accuracy was evaluated using k-NN, SVM, Naïve Bayes and Random Forest
classifiers. Results show that the proposed methods capable of finding robust gene subsets with
high classification accuracy.

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Abstract:

Although studying English presents considerable difficulties for Japanese
university students, in this time of globalism, our students are expected to read and
write academic articles in English. To address this problem, we chose a basic word
list of 2188 words, and compiled an academic word list of 776 words for a
sub-discipline of organic chemistry using a "tailored" corpus. The two lists
combined cover 85.72% of words in 100 papers from an academic journal, which
would facilitate students’ access to the sub-discipline in English.

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Abstract:

When conducting their business, companies increasingly apply the use of
information technologies, which are to facilitate the work of employees at all positions. This
study deals with their use in quality management system, where it is important to apply the
most advanced forms of management and use every opportunity to improve the quality in
general. On a sample of three large companies in South Bohemia region (the Czech Republic),
we aim to discover the current state of using information technologies in the application sphere.
Two research assumptions were established and the purpose will attempt to confirm / to refuse
them through two research approaches: interviews with managers of all 3 observed companies
and a subsequently compiled questionnaire distributed to the total of 130 employees of the
companies. The assumptions were as follows: 1) To achieve the required quality, companies
must use information technologies; 2) Information technologies are used in companies with
quality management system, regardless of their business. The results of research, concerning
the quality and information technologies, confirmed a particular connection between the use of
information technologies and the resulting quality.

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