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The effect of organizational ethical climate on job satisfaction among nurses : the mediating role of trust in colleagues
No full textThis study examines the effect of the ethical climate on job satisfaction in the nursing profession and how this effect occurs through trust in colleagues. A survey design was used to collect data from 407 nurses working in hospitals in Mersin City, Turkey. The study used self-report questionnaires to measure the ethical climate, job satisfaction, and trust. The data were analyzed using SPSS 22 software, which incorporated confirmatory factor analysis to assess construct validity and the bootstrap method to examine mediation effects. Ethical protocols were rigorously observed. The study clearly demonstrated a significant positive relationship between the ethical climate and job satisfaction. The trust variable fully mediates the relationship between the ethical climate and job satisfaction. The findings make a strong case for the importance of an ethical climate in nursing, synthesizing findings from the previous literature. The findings of this study demonstrate the necessity of assessing different attitudes and behaviors in order to promote expected behaviors in the unique and intense working environment of nurses. These behaviors may diverge from theoretical predictions. The results of this study also revealed that an ethical climate and positive work attitudes among nurses have a significant effect on job satisfaction, which is an important input for productivity.No sponso
Examination of grip strength, wrist proprioception and fine motor skills in smartphone use
Get PDFInternational Mediterranean Congress (5. : 2024 : Mersin-Türkiye)Amaç: Bu çalışma, gençlerde akıllı telefon kullanımında kavrama kuvveti, el bileği propriosepsiyonu ve ince motor becerisini incelemek amacıyla yapıldı.
Yöntem: Çalışmaya, 18-25 yaş arası Akıllı telefon bağımlısı olan 40 genç dahil edildi. Katılımcıların sosyodemografik özellikleri alındıktan sonra, Akıllı Telefon Bağımlılığı Akıllı Telefon Bağımlılığı Kısa Form ile akıllı telefon kullanımları incelendi. Katılımcılar, günlük akıllı telefonla kullanım sürelerine
göre üç gruba ayrıldı (1. Grup (Günde 1-2 saat), 2. Grup (Günde 3-4 saat) ve 3. Grup (Günde 5-6 saat)). Katılımcıların kaba kavramaları Jamar el dinamometresi ile, el bileği eklem pozisyon hissi dört farklı pozisyonda (fleksiyon, ekstansiyon, radyal ve ulnar deviasyon) gonyometrik platform ile, ince motor becerileri ise Purdue Pegboard Testi ile değerlendirildi.
Bulgular: Gençlerde, gruplar arasında Kavrama Kuvveti puanlarında anlamlı farklılık olmadığı görüldü (p>0,05). İstatiksel olarak farklılık görülmese de akıllı telefon kullanma süresi 5-6 saat aralığında olan gençlerin, 1-2 saat aralığında kullanıcı olan gençlere göre kavrama kuvveti puanları daha yüksekti. Akıllı telefon kullanımında; Katılımcıların, akıllı telefon kullanım sürelerine arasında fleksiyon ekstansiyon ve ulnar deviasyon propriyosepsiyon puanları arasında anlamlı bir fark olmadığı (p>0,05),
radial deviasyon propriyosepsiyon değerlerinde anlamlı bir fark olduğu görüldü (p>0,05). Gruplar arasında İnce Motor Becerileri akıllı telefon kullanım süreleriyle anlamlı bir farklılık olmadığı sonucuna varıldı (p>0,05).
Sonuç: Çalışmamızın sonuçlarını incelediğimizde Akıllı telefon bağımlısı genç bireylerde akıllı telefon kullanım süresi ile kavrama kuvveti, ince motor becerilerilerinin değişmediği, radial deviasyon yönde el bileği propriyosepsiyonun akıllı telefon kullanımı ile değiştiği sonucuna varıldı.Purpose: This study was conducted to examine grip strength, wrist proprioception and fine motor skills in smartphone use in young people. Method: 40 young people aged 18-25 who are addicted to smartphones were included in the study. After the sociodemographic characteristics of the participants were taken, their smartphone usage was examined with the Smartphone Addiction Short Form. Participants were divided into three groups according to their daily smartphone usage time (Group 1 (1-2 hours per day), Group 2 (3-4 hours per day) and Group 3 (5-6 hours per day)). Participants' gross grasp was evaluated with a Jamar hand dynamometer, wrist joint position sense was evaluated with a goniometric platform in four different positions (flexion, extension, radial and ulnar deviation), and fine motor skills were evaluated with the Purdue Pegboard Test. Results: In young people, there was no significant difference in Grip Strength scores between groups (p>0.05). Although there was no statistical difference, the grip strength scores of young people who used smartphones for 5-6 hours were higher than those who used smartphones for 1-2 hours. In smartphone use; It was observed that there was no significant difference in the flexion extension and ulnar deviation proprioception scores of the participants according to the duration of their smartphone use (p>0.05), but there was a significant difference in the radial deviation proprioception values (p>0.05). It was concluded that there was no significant difference between the groups in Fine Motor Skills and smartphone usage time (p>0.05). Conclusion: When we examined the results of our study, it was concluded that grip strength and fine motor skills did not change with the duration of smartphone use in young individuals addicted to smartphones, and wrist proprioception in the radial deviation direction changed with smartphone use.No sponso
Riparian soil pollution caused by sediment metal transport: Seasonal changes and ecological risk assessment
No full textThe accumulation of pollutants in the sediment along surface water may negatively affect riparian zones and increase ecological risk. This article investigates the effects of metal sediments on riparian soil via field monitoring and ICP-OES analysis. To this end, pollution levels, seasonal changes, and potential sources of the pollutants were determined for the Melen River watershed, Turkey. The ecological statuses (contamination factor, enrichment factor, index of geo-accumulation, pollution index, modified pollution index, and potential and modified ecological risk indexes) of the watershed were also analyzed. Although no significant seasonal differences in the metal sediments were observed, their spatial distribution in the sediments and riparian soils varied markedly. Cr (11.4 to 136), Co (7.7 to 21.52), Cu (11.4 to 76.6), and Ni (14.06 to 128.2) recorded as mg/kg significantly increased from the upstream to the downstream. The metals possessing the highest risk in the sediment and riparian soil regarding the river health were Cu, Co, and Ni. The risk values were found to be heavily polluted (PI > 3 and MPI > 10), and the risk indexes were above the “desired environment without the risk”. The risk index was found to be more than 50, and the modified risk indexes exceeded 200 at many points. The transportation of pollutants in surface water became evident in the sediment, resulting in adverse effects on the riparian zone and the ecological system.No sponso
Enerji Verimli Binaların Tasarımı İçin Yapay Zeka ve Sinirsel Bulanık Mantık Yönteminin Uygulanmasına İlişkin Bir İnceleme
No full textArtificial intelligence in architecture can be applied to various disciplines and used as a decision-making tool. However, its application
areas in architecture are expanding with multiple methodologies. Nowadays, the usage areas of these methods, which are also
integrated into architecture course contents, are pretty standard, but they are still in the development stage. While there are many
alternative applications, especially for generating visuals, it has been examined in the literature that there are fewer applications for
methods that require software with digital content. Applying these methods, which have developed as a great alternative to human
calculation or overlooking, especially in multi-criteria situations before architectural design, determines the speed and path of
decision-making in starting the design. This research provides a comprehensive and in-depth systematic review of recent work on
applying artificial intelligence technologies to create energy-efficient buildings. In addition to detailing the principles and applications
of AI-based modeling approaches commonly used in predicting building energy use, an evaluation of the work carried out in major
AI fields, exceptionally energy efficient building, is made and explained through an example building in terms of architectural design.
Within the scope of the study, a case study was carried out by determining the necessary parameters for the indoor pool structure,
which is the selected sample building, to provide ideal energy efficiency. Indoor and outdoor temperature values, thermal
transmittance value of insulation material, ventilation in the space, presence of a shading element on the facade, building orientation
(south, north, east, and west), and window wall ratio are the parameters evaluated as input in this study. In addition, the research
outputs include the determination of the targeted annual energy requirement within the scope of the study. Building features with
the lowest energy requirements in each group were examined by splitting them into eight groups to compare the numerical data
collected. The findings of the research show that the error value ratio found with the neural fuzzy logic ANFIS method is 0.0033174
for the accuracy in the emergence of the values that will guide the building design, and when evaluated by regression analysis, the
R² value is 0.9997 (99%). It is anticipated that this study is expected to help architects and contribute to the literature as a method
that can generate ideas for new studies to be conducted due to the scarcity of studies on neural fuzzy logic in architecture. It is
emphasized that the methods used in this study can significantly improve the energy efficiency and cost-effectiveness of buildings
designed to provide a comfortable indoor environment for building occupants. Finally, the study discusses future research on using
artificial intelligence in energy-efficient buildings.Mimarlıkta yapay zeka çok çeşitli disiplinlere uygulanabilir ve karar verme aracı olarak kullanılabilir. Ancak mimaride uygulama
alanları çeşitli metodolojilerle genişlemektedir. Günümüzde mimarlık ders içeriklerine de entegre edilen bu yöntemlerin kullanım
alanları oldukça yaygındır ancak hala gelişme aşamasındadır. Özellikle görseller üretme konusunda birçok alternatif uygulamalar
bulunurken, sayısal içerikli yazılım gerektiren yöntemler için daha az uygulama yapıldığı literatürde incelenmiştir. Özellikle mimari
tasarım öncesi çok kriterli durumlarda insanın hesaplama veya gözden kaçırma durumlarına karşılık büyük bir alternatif olarak gelişen
bu yöntemlerin uygulanması, tasarıma başlama konusunda karar verme hızını ve yolunu belirlemektedir. Bu araştırma kapsamında,
enerji verimli binalar oluşturabilmek için yapay zeka teknolojilerinin uygulanmasına ilişkin yapılan son çalışmaların kapsamlı ve
derinlemesine sistematik bir incelemesi yer almaktadır. Bina enerji kullanımı tahmininde yaygın olarak kullanılan yapay zeka tabanlı
modelleme yaklaşımlarının ilkeleri ve uygulamalarının detaylandırılmasının yanı sıra, enerji verimli bina başta olmak üzere başlıca
yapay zeka alanlarında yürütülen çalışmaların değerlendirilmesi yapılarak mimari tasarım açısından örnek bir yapı üzerinden
açıklanmaktadır. Çalışma kapsamında seçilen örnek bina olan kapalı havuz yapısının ideal enerji verimliliğini sağlayabilmesi için
gerekli parametrelerinin belirlenmesi ile örnek çalışma yapılmıştır. İç mekan ve dış mekan sıcaklık değerleri, yalıtım malzemesi ısıl
geçirgenlik değeri, mekanda havalandırma olup olmaması, cephede gölgelendirme elemanı olup olmaması, binanın yönlendirilmesi
(güney, kuzey, doğu, batı) pencere duvar oranı bu çalışmada girdi olarak değerlendirilen parametrelerdir. Ayrıca, çalışma kapsamında
hedeflenen yıllık enerji ihtiyacının belirlenmesi de araştırmanın çıktılarını oluşturmaktadır. Elde edilen sayısal verilerin karşılaştırması
için 8 gruba ayrılarak her bir grubun içinde en az enerji ihtiyacı olacak yapı özelliği araştırılmıştır. Araştırma sonucu meydana gelen
bulgular bina tasarımına yön verecek değerlerin ortaya çıkmasındaki doğruluk payı için sinirsel bulanık mantık ANFIS yöntemi ile
bulunan hata değeri oranı 0,0033174 olduğu, regresyon analizi ile değerlendirme yapıldığında ise R² değeri 0,9997 (%99) oranında
doğruluk payı olduğunu göstermektedir. Bu çalışma ile mimarlıkta henüz sinirsel bulanık mantık ile ilgili çalışmaların gelişmemesi
nedeniyle yapılacak yeni çalışmalara fikir verebilecek bir yöntem olarak mimarlara yardımcı olabileceği ve literatüre katkı
sağlayabileceği öngörülmektedir. Araştırma kapsamında kullanılan yöntemlerin, bina kullanıcılarına konforlu bir iç ortam sağlamak
üzere tasarlanan binaların enerji verimliliğini ve maliyet etkinliğini büyük ölçüde artırabileceği vurgulanmaktadır. Son olarak çalışma,
yapay zekanın enerji verimli binalarda uygulanmasına ilişkin gelecekteki araştırmalara yönelik bir tartışma içermektedir.No sponso
Investigation gamma attenuation properties of hydroxypropyl methyl cellulose polymer by using monte carlo simulation
No full textAsscientific and technological advancements continue to progress, the applications of radiation
are expanding day by day. The increased use of radiation has led to a corresponding rise in the
number of people exposed to it. Living in close proximity to radiation poses biological risks to
living organisms. This is especially true for individuals working in radiation-related fields who
are required to be exposed to radiation as part of their duties.
One of the three fundamental principles of radiation protection is shielding. Although lead has
historically been the most widely used shielding material, its toxic properties have spurred
ongoing research into new shielding materials. For this purpose, various materials such as glass,
polymers, and composites are being developed and their radiation permeability is beingexamined. Advancements in the development of new shielding materials play a vital role in
enhancing our ability to protect against the potentially harmful effects of radiation exposure.
In this study, the photon interaction parameters of Hydroxypropyl Methyl Cellulose polymer,
including Attenuation Coefficients, Half Value Layer, Tenth Value Layer, and Radiation
Protection Efficiency, were calculated in the energy range of 0.1-10 MeV using PHITS 3.22
and MCNP6 Monte Carlo simulations. These results were then compared with theoretical
calculations from WINXCOM.No sponso
Dual-Wavelength CW and CW mode-locked Cr:Colquirrite Lasers
No full textWe show the versatile dual-wavelength operation of Cr:LiCAF and Cr:LiSAF lasers
around 790 and 850 nm using diving optical-axis birefringent filters. In mode-locked regime,
tunable synchronous two-color picosecond pulses with THz beating frequency are realized.No sponso
Power scaling potential of diode-pumped Cr:LiCAF slab lasers to >10 W Level in continuous-wave operation
No full textWe have experimentally and numerically investigated the power scaling capacity of diode
edge-pumped Cr:LiCAF slab lasers employing low chromium doped samples and showed their
potential to exceed 10 W output power level in continuous-wave operationNo sponso
Causal pathways of potential factors affecting participation level of individuals with unilateral cerebral palsy
No full textAlthough most children with unilateral cerebral palsy can achieve independent mobility levels with or without assistive devices, they remain susceptible to decreased participation. This study aimed to explore the potential factors affecting participation of children with unilateral cerebral palsy.
Method:Fifty children with unilateral cerebral palsy were enrolled. The degree of spasticity in the upper limb muscles was assessed using the Modified Ashworth Scale, active range of motion of the upper limb joints was assessed using a universal goniometer, and activity performance was measured using the ABILHAND-Kids and Gross Motor Function Measure. Environmental factors and mental health were evaluated using the European Child Environment Questionnaire and Strength and Difficulties Questionnaire. The Child and Adolescent Scale of Participation was used to assess participation.
Results:Path analysis showed that upper limb impairment had both direct (β = −0.41; p < 0.05) and indirect (β = 0.64; p < 0.001) effects on participation. Most importantly, it was found that the participation of children with unilateral cerebral palsy was notably influenced by environmental factors and mental health (β2 = −0.42; p < 0.05, and β2 = −0.36; p < 0.05).
Conclusion:Participation of children with unilateral cerebral palsy is affected by a combination of functioning and contextual factors.No sponso