bluuebunny/crossref_metadata_2025 huggingface dataset:
Orta Çağda Hac Hareketleri ve Dini Turizmin Tarihsel Süreçteki Gelişimi
Authors: Çavuş Muhammet Nimet
Published: December 2024

Din ve turizm arasındaki ilişki akademik açıdan ilgi çeken bir konudur. Hac, başlıca dünya dinleri tarafından seyahat gerektiren manevi bir arınma aracı olarak bilinir. Hac, yalnızca en eski seyahat biçimlerinden biri olmakla kalmaz, aynı zamanda günümüzde de önemli bir dini seyahat biçimi olmaya devam etmektedir. Hac yolculuklarının, ilk kitlesel turist hareketinden yüzyıllar önce başladığına dair literatürde kanıtlar bulunmaktadır. Bu kanıtlar hac seyahatlerinin, turistik gezilerin temelini oluşturan unsurlardan biri olabileceğinin göstergesidir. Dini turizm ve hac hareketleri ne birbirlerinden kesin sınırlarla ayrılacak kadar farklı ne de tamamen aynı özelliklere sahiptir. Bu bilgiler ışığında bu çalışmada, Orta Çağ’da hac hareketlerinin ve dini turizmin tarihsel süreçte nasıl geliştiği ve Orta Çağ’da kutsal mekânlara yapılan yolculukların dini turizm üzerindeki rolünün literatüre dayalı incelenmesi amaçlanmıştır. Yapılan literatür incelemesi sonucunda Orta Çağ’da hac hareketleri ve dini turizm rotalarının yalnızca dini vecibelerin yerine getirilmesini sağlamakla kalmadığı, kültürel, ekonomik, sosyal ve politik etkileşimleri de güçlendiren unsurlardan biri olduğu görülmüştür.
Exploring the Impact of Taxes, Firm Size and Bonus Mechanisms on Transfer Pricing Decisions
Authors: Hidayah Nisa Ulil , Madjid Suhirman
Published: December 2024

This research examines the impact of tax variables, company size, and bonus mechanisms on corporate decisions to engage in transfer pricing. The study focuses on manufacturing companies listed on the Indonesia Stock Exchange (BEI) during the 2014–2016 period, with 34 firms selected using the purposive sampling method. Secondary data was analyzed using multiple linear regression with a 5% significance level, processed through SPSS v.20 software. Findings reveal that tax variables, company size, and bonus mechanisms positively influence transfer pricing decisions. This suggests that companies leverage these factors to optimize tax burdens while adhering to internal and external incentives. The managerial implications underscore the importance of understanding international tax structures and regulations to implement legal transfer pricing strategies effectively. This study contributes original insights by integrating the bonus mechanism as a key determinant in transfer pricing, highlighting how internal compensation influences managerial decisions. The use of purposive sampling and robust statistical methods provides actionable recommendations for both regulators and corporate management. These findings encourage balancing tax optimization with ethical and compliance considerations, ensuring sustainable and transparent transfer pricing practices.
Gastronomi Turizmi ve Sağlıklı Alternatifler: Gilaburu Meyvesi Çekirdeği ile Makaronlar Üzerine Bir İnceleme
Authors: Altıntaş Bayram
Published: December 2024

Bu çalışma, Türkiye’nin Orta Anadolu Bölgesi’ne özgü bir ürün olan gilaburu (Viburnum opulus L.) meyvesi kullanılarak yenilikçi makaronlar üretmeyi ve bu ürünlerin gastronomi turizmiyle bütünleştirilmesini amaçlamaktadır. Gilaburu çekirdeği unu ve marmelatı, yerel gastronomi ürünlerinin değerlendirilmesi açısından önemli bir yer tutmaktadır. Yerel ürünlerin bu şekilde kullanımı, bölgenin gastronomi kimliğini güçlendirirken hem ulusal hem de uluslararası düzeyde tanıtımına katkıda bulunabilir. Makaron üretiminde gilaburu çekirdeği unu ve toz badem unu (%100, %50, %0) ikame edilerek kullanılmış ve duyusal özellikleri incelenmiştir. Çalışma kapsamında, lezzet, kıvam, koku ve genel beğenirlik gibi duyusal özelliklerin yanı sıra ürünlerin kimyasal kompozisyonları tekstür, protein ve şeker analizleriyle değerlendirilmiştir. Anket sonuçları SPSS 22.0 programında analiz edilmiştir. Araştırmanın sonuçlarına göre, %50 toz badem unu ve %50 gilaburu çekirdeği unu içeren K2 deneyi tat, lezzet ve görsellik açısından en çok beğenilen ürün olmuştur. Kimyasal analizlerde K2 sert ve yoğun bir yapıya sahipken, K3 deneyi daha yumuşak ve düşük çiğnenebilirlik özellikleri göstermiştir. K1 deneyi ise elastikiyet ve dayanıklılık açısından diğer ürünlere dengeli bir yapı sergilemiştir.
Bu çalışmada, gilaburu çekirdeği unu ve marmelatı ile hazırlanan makaronların hem sağlıklı içerikler sunarak tüketici beğenisini kazandığını hem de yerel gastronomi ürünlerinin inovatif yaklaşımlarla gastronomi turizmine entegre edilebileceğini ortaya çıkarmıştır.
Örgütsel Davranış
Authors: Güney Salih , Ergenekon Funda , Kaya Aslı , Ercan Önbıçak Aslı , Öztırak Mesut , Yazıcı Ayşe Meriç , Durgun Murat , Demirkıran Songül , Meriç Atakan K. Bahar , Köse Semra , Özen Özlem , Özkanan Arzu , Yılan Yunus , Ülkü Tugay , Yörük Karakılıç Nilüfer , Akın Mahmut , Bayram Vildan , Civek Ayşegül Aslıhan
Published: December 2024

Değerli Okuyucular,
Günümüzün hızla değişen iş dünyasında, örgütlerin başarısı salt teknik beceriler ve finansal kaynaklarla sınırlı kalmamakta, aynı zamanda insan faktörünün doğru yönetilmesiyle de yakından ilişkili hale gelmektedir. İşte tam bu noktada, örgütlerin karmaşık yapısını anlamak ve çalışan davranışlarını etkin bir şekilde yönetmek için “Örgütsel Davranış” alanının önemi ortaya çıkmaktadır. Bu kitap, “Örgütsel Davranış” alanının temel taşlarını oluşturan kavramları günümüzün dinamik iş ortamında ortaya çıkan yeni yaklaşımlarla harmanlayarak sizlere sunmayı hedeflemektedir.
Kitabımızda, örgütlerin temel dinamiklerini anlamak için gerekli olan Örgütsel Davranışın Temel Kavramları bölümü, değişen iş dünyasına uyum sağlamak için Örgütsel Gelişim: Kavramlar, Yaklaşımlar ve Gelecek Trendleri bölümü, ardından, örgütlerin etkili bir şekilde işlemesi için gerekli olan Örgütsel İletişim ve Örgütsel Güç ve Politika konularını derinlemesine inceliyoruz. Çalışanların örgüte olan bağlılığını anlamak ve artırmak için Örgütsel Bağlılık bölümünü ele alırken, iş hayatının kaçınılmaz bir parçası olan Örgütsel Stres ve Başa Çıkma Yöntemleri ile de okuyucularımıza yararlanacakları çerçeve çizmeyi amaçlıyoruz. Örgüt içi ilişkileri sağlıklı yönetmek adına Müzakere – Örgütsel Çatışma ve Çözüm Yöntemleri konularına dikkat çekerken, örgütlerin etik ve sosyal sorumluluk bilincine katkıda bulunmak için Örgütsel Vatandaşlık konusunu ele alıyoruz. Öğrenen örgütlerin önemine inancımızla, Örgütsel Öğrenme konusunu inceledikten sonra, günümüz çalışma hayatında sıkça karşılaşılan Sessiz İstifa, Kayırmacılık, İşyeri Nezaketsizliği, Modern Çalışma Hayatının Gizli Çöküşü: Boreout, Yengeç Sepeti Sendromu, Örgütsel İfşaat (Whistleblowing) ve Siber Kaytarma gibi konulara odaklanarak, okuyucularımıza güncel ve pratik bir bakış açısı sunuyoruz.
Bu kitap, sadece teorik bilgileri aktarmakla kalmayıp, aynı zamanda örgütlerde karşılaşılan gerçek sorunlara çözüm üretebilmeniz için pratik bir rehber niteliğindedir. Akademisyenlerden öğrencilere, yöneticilerden insan kaynakları uzmanlarına kadar, örgütlerin işleyişini anlamak ve insan faktörünü etkin bir şekilde yönetmek isteyen herkes için değerli bir kaynak olacağına inanıyoruz.
Kitabımızın sizlere faydalı olmasını temenni eder, örgütlerdeki başarınıza katkı sağlamasını dileriz.
Saygılarımızla,
Editör Dr. Öğr. Üyesi Vildan Bayram
Editör Doç. Dr. Arzu Özkanan
Derin Demokrasi ve Çatışma Yönetiminin Örgütsel Uygulaması: Gücün Yeniden Dağıtılması ve Sürdürülebilir Yönetim Modelleri
Authors: Meriç Atakan K. Bahar
Published: December 2024

Bu bölümde, derin demokrasi ve çatışma yönetimi kavramlarının örgütlerdeki uygulanışı ele alınmaktadır. Derin demokrasi, bir örgütte çoğunluk kadar azınlık görüşlerinin de dikkate alındığı, her bireyin katılımının önemsendiği bir yönetim anlayışını temsil etmektedir. Günümüz iş dünyasında çevresel tahribat ve toplumsal eşitsizlikler gibi küresel zorluklar, örgütlerin bu sorunlara çözüm bulma sorumluluğunu artırmaktadır. Bu doğrultuda, örgütlerin daha kapsayıcı ve demokratik yönetim yapıları benimsemesi gerekmektedir. Çalışanların karar alma süreçlerine aktif katılımı, geleneksel hiyerarşik yapıların dönüşümünü sağlamaktadır ve böylece daha adil, şeffaf ve katılımcı bir yönetim anlayışı ortaya çıkmaktadır. Derin demokrasi, çalışanların örgütteki çatışmaların çözümüne yapıcı bir diyalogla katılımını desteklemektedir. Bu yaklaşım, her çalışanın kendini özgürce ifade edebileceği ve karar süreçlerine anlamlı bir şekilde dahil olabileceği bir platform oluşturmayı amaçlamaktadır. Çatışmalar, bu yaklaşımla sadece bir sorun olarak görülmeyip, örgütün gelişimi için bir fırsat olarak değerlendirilmektedir. Temsiliyetin ötesine geçilerek, çalışanların doğrudan karar alma süreçlerinde yer alması demokratik yönetimin önemli bir gerekliliği olarak kabul edilmektedir. Bu, örgütlerin sadece finansal başarılarını değil, aynı zamanda sosyal ve çevresel sorumluluklarını da dengeleyerek sürdürülebilir bir yönetim modeli oluşturmalarına katkı sağlamaktadır. Bu bölümde ayrıca, demokratik yönetim uygulamalarında teknolojinin rolü ve örgütsel yapılar üzerindeki etkisi ele alınmaktadır. Demokratik yönetim anlayışının gelecekteki potansiyelini değerlendirmek amacıyla, bu yaklaşımların uygulanabilirliği ve sürdürülebilirliği üzerine yapılacak araştırmalar için bir çerçeve sunulmaktadır.
Örgütsel Öğrenme
Authors: Özen Özlem
Published: December 2024

Çevrede oluşan hızlı değişimler ve endüstride yaşanan devrimler örgütleri dönüşüme ve öğrenmeye dayalı bir kültür yaratmaya zorlamaktadır. Özellikle teknolojideki hızlı değişim örgütlerin öğrenerek değişmesine neden olmaktadır. Gelişmekte olan ekonomilerde örgütsel öğrenme, firmaların çeşitli yetenekler geliştirmesi, verimliliklerini artırması ve diğer firmalarla rekabet edebilmesi bakımından stratejik öneme sahiptir. Örgüt teorisi, endüstriyel ekonomi, ekonomi tarihi, işletme, yönetim ve inovasyon çalışmalarının çoğu örgütlerin nasıl öğrendiklerini araştırmaktadırlar. Örgütsel öğrenmenin bu alanlardaki araştırmalara konu olmasının en önemli nedenlerinden biri çevre ve teknolojideki hızlı değişimin örgütler üzerindeki etkisidir. Yazında örgütsel öğrenmenin çok boyutlu bir süreç olduğu ve birey, grup ve örgüt düzeylerinde gerçekleştiği belirtilmektedir. Örgütlerin bilgiye dayalı süreçlerindeki değişimler olarak tanımlanan örgütsel öğrenme, çevredeki değişime uyum sağlama, rekabet ve verimliliği artırma amacıyla gerçekleşmektedir. Örgüt kültürü, strateji, örgüt yapısı, çevre, güç, politika, sektör ve değişime direnç gibi unsurlar örgütsel öğrenmeyi etkilenmektedir. Örgütler aynı zamanda, çevrelerindeki diğer örgütlerle iş birliği yaparak bilgi paylaşmakta, yeni bilgi yaratmakta ve yeteneklerini geliştirmektedirler. Bir başka deyişle, bu iş birliği örgütler arası öğrenmeye yol açmakta ve örgütlerin yeni yetenekler geliştirmesine olanak sağlamaktadır. Bu çalışma, örgütsel öğrenme kavramına ilişkin çeşitli yaklaşımları, örgütsel öğrenmeyi etkileyen faktörleri ve örgütler arası öğrenme kavramını açıklaması bakımından önemlidir. Çalışmanın, örgütsel öğrenme, firma stratejisi ve performans arasındaki ilişkilerin araştırılmasını özendirmesi bakımından yazına katkı sağlaması beklenmektedir.
Siber Kaytarma
Authors: Bayram Vildan
Published: December 2024

Teknolojideki gelişmeler çalışma yaşamında da önemli değişiklikleri beraberinde getirmektedir. Özellikle bilişim sistemlerindeki gelişmeler sonucu sağlanan kolaylıklar, örgütler ve çalışanlar açısından önemli faydalar sağlamaktadır. Çalışma yaşamında bilgisayar ve internetin kullanımının yaygınlaşması, fayda sağlamasının yanısıra olumsuz işyeri davranışlarına da yol açabilmektedir. Siber kaytarma, çalışanların iş saatleri sırasında kişisel veya iş dışı nedenlerle bilgisayar, akıllı telefon ve internet teknolojilerini kullanarak sosyal medyaya ve diğer web sitelerine erişmesidir. Siber kaytarma, fayda ve zarar sonuçlarına yol açabilen davranışlar bütünüdür. Çalışanların verimini ve iş gücünü olumsuz etkilemekle birlikte, çalışanların sosyalleşmesine, rahatlamasına, yeni şeyler öğrenmesine ve yaratıcılığını geliştirmesine de katkı sağlayabilir. Bu nedenle, siber kaytarmanın iyi analiz edilmesi ve örgütler tarafından bu davranışların etkilerinin kapsamlı bir şekilde değerlendirilmesi önemlidir. Bu kitap bölümünde siber kaytarma kavramı ele alınmış, Siber Kaytarma Davranışları Sınıflandırılmış, siber kaytarma nedenlerine, fayda ve zararlarına yer verilmiştir. Çalışma siber kaytarma konusunda önemli bir kaynak oluşturmaktadır ve ileriki araştırmalara rehberlik etmesi düşünülmektedir.
İş Yeri Nezaketsizliği
Authors: Civek Ayşegül Aslıhan
Published: December 2024

Kitabın bu bölümünde, iş yeri nezaketsizliği kavramı ele alınarak, bu olumsuz davranışın tanımı, ortaya çıkışı, özellikleri, nedenleri ve sonuçları detaylı bir şekilde sunulmaya çalışılmıştır. Literatür taraması yöntemiyle yürütülen araştırma sonucunda yazılan bu bölüm, iş yeri nezaketsizliğinin çeşitli boyutlarını ve iş ortamına olan etkisini ortaya koymayı amaçlamaktadır. Kitabın bu bölümünde, iş yeri nezaketsizliğinin diğer olumsuz davranışlarla olan ilişkisi, nezaketsizlik süreçleri ve nezaketsizlik sarmalı gibi konular da incelenmiştir. Bölümde, iş yeri nezaketsizliğinin önlenmesi ve bu olumsuz davranışın iş verimliliği ve çalışan memnuniyeti üzerindeki olumsuz etkilerinin azaltılabilmesi için yapılabileceklere de yer verilmiştir. Verilen bilgiler ışığında, iş yeri nezaketsizliği kavramının üzerinde durulması gereken önemli bir konu olduğu, neden ve sonuçlarının bilinmesi gerektiği, iş yeri nezaketsizliğinin önlenmesinde proaktif yaklaşımların, eğitim programlarının ve açık iletişimin önemi vurgulanmıştır. Elde edilen bulgular, iş yerlerinde daha sağlıklı ve verimli bir çalışma ortamı yaratmak için uygulanabilecek pratik öneriler sunmaktadır. Çalışmanın metodolojisi, mevcut literatürün kapsamlı bir şekilde incelenmesi ve analizine dayanmaktadır.
Arrhythmia Classification Using CNN-SVM from ECG Spectrogram Representation
Authors: Fakhrudin Abdul Daffa , Gunawan Putu Harry
Published: December 2024

Arrhythmia, a critical subset of cardiovascular diseases and a leading cause of morbidity and mortality, is caused by irregular heartbeats that disrupt the normal rhythm of the heart. Detecting arrhythmias accurately is essential for timely diagnosis and treatment, which can be achieved through electrocardiogram (ECG) signals. This study presents a hybrid Convolutional Neural Network (CNN) and Support Vector Machine (SVM) model for arrhythmia classification, leveraging spectrogram representations of ECG signals. The CNN extracts spatial and temporal features from the spectrograms, while the SVM classifies five arrhythmia classes: Normal (N), Supra-ventricular premature (S), Ventricular escape (V), Fusion of ventricular and normal (F), and Unclassified (Q). Preprocessing techniques such as wavelet denoising and Short-Time Fourier Transform (STFT) were applied to improve signal quality and facilitate robust feature extraction. The proposed model was trained and evaluated on the MIT-BIH Arrhythmia Database, achieving a weighted F1-score of 0.985, demonstrating its ability to handle the imbalanced dataset effectively. Class-wise metrics highlighted high precision, recall, and F1-scores for majority classes and commendable performance for underrepresented classes, despite the inherent imbalance. These findings underscore the hybrid model's potential for arrhythmia classification by integrating the feature extraction strengths of CNNs with the precise classification capabilities of SVMs. Future research could address dataset imbalance through augmentation techniques and explore the model’s generalizability by testing on larger and more diverse datasets, paving the way for its application in real-world clinical scenarios.
A Comparison Between The Administration of Povidone Iodine 10% and Aloe Vera Gel on The Healing of Wistar Rat Burns (Rattus Norvegicus)
Authors: Felicia Jesselyn , Fibrini Dewi , Dalimunthe Anita Rosari
Published: December 2024

Aloe vera has long been known for its diverse properties, including wound healing. Compounds such as saponins, tannins, and polyphenols contained in aloe vera provide anti-inflammatory, antibacterial, and accelerate tissue regeneration. This study aims to compare the effectiveness between Povidone Iodine 10% and Aloe Vera Gel on burn wound healing in Wistar Rats (Rattus norvegicus). The study used an experimental design with post-test only control group design. A total of 33 rats were divided into three groups: control group without treatment, Povidone Iodine 10% group, and Aloe Vera Gel group. Observations were made on days 0, 7, and 14 with parameters of wound diameter, percentage of wound reduction, and histopathological analysis to assess the amount of blood vessel formation, fibroblasts, macrophages, and epidermal thickness. The results showed that the administration of Aloe Vera Gel is effective in healing burn wounds, especially in the inflammatory and proliferation phases.
Restricted and extended theta operations of soft sets: new restricted and extended soft set operations
Authors: Sezgin Aslihan , Aybek Fi̇tnat
Published: December 2024

Since its introduction by Molodtsov in 1999, soft set theory has gained widespread recognition as a method for addressing uncertainty-related issues and modeling uncertainty. It has been used to solve several theoretical and practical issues. Since its introduction, the central idea of the theory-soft set operations-has captured the attention of scholars. Numerous limited and expanded businesses have been identified, and their attributes have been scrutinized thus far. We present a detailed analysis of the fundamental algebraic properties of our proposed restricted theta and extended theta operations, which are unique restricted and extended soft set operations. We also investigate these operations' distributions over various kinds of soft set operations. We demonstrate that, when coupled with other types of soft set operations, the extended theta operation forms numerous significant algebraic structures, such as semirings in the collection of soft sets over the universe, by taking into account the algebraic properties of the extended theta operation and its distribution rules. This theoretical subject is very important from both a theoretical and practical perspective since soft sets' operations form the foundation for numerous applications, including cryptology and decision-making procedures.
Development of an automated drip irrigation system using soil moisture sensor
Authors: Ahuchaogu Ifechukwude , Okwong Enoch , Udoumoh Unwana , Ehiomogue Precious , Wilson Udeme
Published: December 2024

Irrigation has been a major boost to agricultural practices but significant amount of water is still wasted due to poor irrigation application and scheduling. To optimize the use of available water, there is a need to improve irrigation systems using internet of things (IoT) approach. In this study, an Arduino board, microcontroller, soil moisture sensors, battery, relay module, soil, and 12V solenoid valve were used and connected together through a wireless communication network (NRF24L01 wireless transceiver module) and a cloud platform (Blynk) for storing data. The system was tested for a period of four weeks. During the period of testing, the system observed eighteen automatically scheduled irrigation events. Simple descriptive statistical analysis of soil moisture data revealed mean values; 37.09, 35.68, 37.05, and 39.26 in weeks 1, 2, 3, and 4 respectively, and mean average of 37.27. Weeks 3 & 4 displayed higher average soil moisture content (38.15) compared to weeks 1 & 2 (36.39), this is due to recorded rainfall in the study area in weeks 3 and 4. Soil moisture content ranged between 66.30m3m-3 ̶16.00m3m-3 with standard deviation of ±8.25. The Analysis of Variance (ANOVA) test confirmed this difference to be statistically significant (p-value=0.001), suggesting potential factors (soil type, sensor type, depth of insertion, etc.) influencing soil moisture over time. The system achieved 55.25% water saving when compared to manual method of irrigation. More study should be done in integrating stable network connections (Wi-Fi) and solar systems to power the system without fail.
Management of non-standard agricultural equipment based on the assessment of farm owners and management of healthcare organizations used in the treatment of patients
Authors: Bakmaz Ognjen , Đuranović-Miličić Jadranka , Dugonjić Dijana , Dragosavac Miloš , Dejanović Aleksandar , Grublješić Željko , Popović Slobodan
Published: December 2024

In this study, the authors showed the existence of a strong influence between the possible use of non-standard agricultural equipment on the example of the construction of Api chambers on agricultural farms, which makes it possible to increase the efficiency of its use by forming cooperative relations between farms and health institutions that also have an economic interest in using such equipment, in treatment patients. In addition, we found that based on total income and expenses, the formation of total profit can be predicted because the application of such a business model is statistically significant (F=183.600, p<0.0005), that is, income and expenses have a significant impact on the prediction of profit in this type of business agricultural farms. The same applies to such business operations of health institutions, because the obtained model was evaluated with because the obtained model is statistically significant (F=327.121, p<0.0005) in the way of cooperative business with non-standard agricultural equipment (Api chambers) that can be use in the treatment of patients.
Analysis of cost control challenges in the construction industry, using Artificial Neural Network
Authors: Abam Ujon , Oduma Okechukwu , Mbadike Michael
Published: December 2024

The construction industry frequently encounters significant cost control challenges that can impact project efficiency and profitability. Addressing these issues requires advanced predictive models that can accurately forecast construction cost and identify influential factors. This research aims to leverage on Artificial Neural Network (ANN) model to predict and evaluate construction cost challenges using loss function parameters, comparing its performance with that of multiple linear regression (MLR). A comprehensive dataset of 199 responses from a questionnaire and survey result were derived from various construction projects. The multiple linear regression (MLR) result yielded an R value of 0.669757, R2 value of 0.448574 and an adjusted R2 value of 0.43, indicating limited explanatory power or a weak predictive capability and indicating that the model does not account for much of the variability. These results underscore the limitations of MLR in handling complex, non-linear relationship within the data. In contrast, an ANN architecture of 7-35-1 was implemented and analyzed in MATLAB, using a Feed-Forward Back propagation with a training function of Levenberg-Marquardt. Conversely, the ANN model demonstrated superior performance, with training, testing, and validation R values of 0.993, 0.99221, and 0.98499, respectively, and an overall R2 value of 0.99216. The training state of the ANN showed the best gradient of 7.0860 at epoch 2, while the validation performance peaked at 124932260 at epoch 5. The loss function parameters, root mean squared error (RMSE) of 0.81 was obtained. These findings suggest that ANN provided a more accurate and reliable approach for predicting construction cost challenges compared to MLR, highlighting the potential of advanced machine learning techniques in addressing cost control challenges in the construction industry and as well indicating a robust predictive capability across different subsets of the data.
Determination of fruit firmness in assessing the fruit maturity
Authors: Koprivica Ranko , Veljković Biljana , Milosavljević Gordana , Božić Miloš , Vujičić Vojislav , Živković Milovan , Glišić Ivan , Ilić Radmila , Marković Dušan
Published: December 2024

Determining the maturity of the fruits and the time of fruit harvesting is one of the factors on which the quality and success of the harvest depend. The paper presents mechanical sensory and instrumental methods for determining the degree of ripeness of fruit based on the firmness of fruit. For research purposes, a device with an application was used to determine the firmness of the fruit by direct puncture in the fruit. In the fruit plantations around Čačak (Republic of Serbia), samples were collected to test the firmness of the fruits of sour cherry (Cigančica), plum (Čačanska rodna) and blueberry (Duke). The Method of puncture determined that the highest average fruit firmness, 11.74 N was plum, followed by the sour cherry, 2.32 N, and the least blueberry, 1.23 N. Limit values of plum fruit firmness are significantly higher compared to sour cherry and blueberry, with values from a minimum of 7.68 N to a maximum of 14.92 N. Sour cherry fruit firmness values ranged from 1.69 N to 2.94 N, and blueberry fruit firmness was lower and ranged from 0.95 N to 1.56 N. According to the Author's research on fruit classification, and based on the measured results of the limit values of fruit strength determined by the Method of puncture, plum, sour cherry and blueberry fruits are classified according to the degree of maturity into the category of soft fruits. These results of the limit values of the puncture force fruit can be used to determine the degree of fruit ripening. At the same time, the classification of fruits according to the firmness of the fruits would be carried out into categories that could be used as an accepted universal standard. Also, these obtained results can be used to predict the duration of transportation and storage. They can also be applied in the design of machines for picking, transporting, classifying and processing fruit, all to reduce losses during and after harvesting.
The 2024 local elections in the Republic of Serbia: Political dynamics and consequences
Authors: Matić Petar , Mijatović Marko
Published: December 2024

This paper will analyze the political dynamics of the last cycle of local elections in Serbia. We will refer to the existing institutional framework and the reforms in this field of electoral law that preceded the elections themselves. In this sense, the institutional paradigm will be applied in the first part to investigate the institutional context. The second section analyzes the broader socio-political context influencing turnout and election results. The third section pays attention to electoral actors, either individual parties or their coalitions. Minority parties that take part in the election game under special conditions through forms of positive discrimination are dealt with. The fourth section is devoted to forming local authorities, while a separate part is related to groups of citizens as separate political actors in local areas. The conclusion refers to the key findings of this research. Forming a particular whole with the local elections held in the city of Belgrade and another 65 municipalities, cities, and urban municipalities in central Serbia, on December 17, 2023, they showed a picture of the political scene of Serbia, its dynamics, actors at the national and local level, their strategies political struggles and, finally, electoral preferences citizens related to the political game in local political arenas. These elections were a test of sorts since they were held separately from the parliamentary elections at the end of 2023. They also provide an excellent basis for analyzing the political consequences of their separation from national elections, given that for half a year in several cities and municipalities, local elections were held simultaneously with national ones.
The security system of the Republic of Serbia: The character and value of knowledge in its products
Authors: Hakić Ergin , Međedović Enver , Manojlović Dragan , Bulić Ferid
Published: December 2024

In the scientific, theoretical, professional, and real-life contexts of the security system within a society, we have not yet had the opportunity to discuss its character-whether it is good or bad, strong or weak-and consider how its character and knowledge as its values will behave in a given situation. We also have not had the chance to recognize the knowledge in its products from the scientific literature as either its strength or weakness. In this paper, we explore how two fundamental elements of the security system, which determine its value, can be understood from the subject of the research. These elements define its resilience and weakness, its power, impotence, reputation, respect, or lack thereof, both internally and externally. We investigate the credibility and value of knowledge of the security system's products. The paper will offer insights into these elements by addressing several questions: What is a security system? What is the character of the security system? Is the security system responsible for its character? Is the knowledge embedded in the products of the security system the basis of its reputation? The research results show that Serbia's security system exhibits non-credible know.
Kindergarten in the role of a learning community
Authors: Metić Admir
Published: December 2024

The aim of this paper is to present and analyze kindergarten - a learning community, as well as how to learn successfully in kindergarten. The paper uses the method of content analysis of available scientific literature, and theoretical and empirical material. Kindergarten is a type of educational institution in which many social roles, identities, as well as other forms of behavior appear. It is more than an "ordinary place" where information is transmitted because in combination with other social institutions, it represents the entire social population, roles, and identities of society. Kindergarten, as an institution for the educational process of children, is a place of great hope. Kindergarten reveals a lot about the role and status we attribute to children, as well as about our views on democracy, social protection, and society in general. This is of great symbolic significance for the kindergarten. It is a confirmation of how we adults understand childhood and its connection with the state, economy, civil society, culture, and the private sector.
Analysis of comments and subtypes of comments in the daily nespapers Danas and Blic
Authors: Dojčinović Nikola , Jevtović Ana , Dojčinović Milan
Published: December 2024

Commentary and its subtypes are essential forms of journalistic expression. In them, the author analyzes, argues, evaluates, and interprets current events and phenomena, pointing out the causes, consequences, and further development of events to the audience. The objectives of this paper are to determine, by analyzing the content, the extent to which the dailies "Danas" and "Blic" meet the form of comments according to the literature, ie the rules of writing comments and its subtypes, as well as their representation in dailies. Based on the obtained results, it was determined that the commentary and its sub-column are more represented in the daily newspaper "Danas" than in the daily newspaper "Blic", while no editorial was identified in the analysis papers. The analysis of the content established that the required form of comments was partially respected in the comments of "Blic". What is missing in most of Blic's comments is argumentation, documentation, a clearly defined topic of comment, and detailed evaluation and interpretation. In the comments of "Danas", the authors use facts, to interpret, analyze, and socially evaluate events and phenomena. Also, the authors of the comments in "Danas" present more arguments and documentation, and in almost all comments there is an engaged position of the author. The topics are treated unequivocally, and the point of the comments is clearly visible. In some comments of "Danas" and "Blic", a hybrid form was noticed between the classic commentary and the column. Namely, some comments (which are highlighted in the sheets under "comment") lack documentation, arguments, and a conclusion with a forecast. In the above comments, the authors comment on phenomena or events from a very personal point of view, without arguing for or against, interpreting and analyzing.
First field and laboratory trial of VectorBac® WG around the airport zone of the capital city of Libreville, Gabon
Authors: Lendzele Sevidzem Silas , Natacha Poungou , Glen Okane , Sylvie Brizard Zongo , Nguema Rodrigue Mintsa
Published: December 2024

Context/Purpose: The urban ecosystem of Akanda behind the airport of the capital city of Libreville in Gabon, harbors diverse and dense mosquito larval habitats and hotspots for malaria and arboviruses transmission. To effectively conduct vector control, it is imperative to adopt an integrated approach by adding biolarvicides to the toolbox. The main objective of this study is to evaluate the efficacy of a biolarvicide under laboratory and field conditions. Methods: In Gabon, this current pilot and preliminary study sought to test the efficacy of the biolarvicide VectorBac® Water dispersable Granule (WG) (VBG) during the rainy season period (March to May 2024) under field and laboratory conditions following the 2005 World Health Organisation protocol. Results: For the bioassay of VBG, in the laboratory, the required dose to kill 88% and 100% of the larvae in rearing cups was 0.001 g/mL and 0.01 g/mL respectively. Under field conditions, the percentage larval density reduction irrespective of the microhabitat type ranged from 90 to 100% and the mosquito larval density reduction between test and control groups in the field differed statistically (X2=34; p = 0.026). Conclusion: The larvae from Akanda tested under field and laboratory conditions were very sensitive to the standard dose recommended by the manufacturer after 24 hrs post-treatment with VBG. This pilot study provides baseline information that is required to conduct a longitudinal study to evaluate the residual effect of VBG in different ecological settings in Gabon.
Investigating Macao migrant workers’ job burnout in food and beverage industry: A perceived stigma perspective
Authors: Hong Wei , Li Wenjing , Chen Zhiyi
Published: December 2024

Migrant workers comprise half of the workforce in Macao, and stigmatization is a typical characteristic of the group. Previous studies have researched the impact of stigmatization on related behaviors such feeling shame to seek help and perceiving resistance and vulnerability as stigmatized identities, but few have focused on the workplace behavior of stigmatized employees. We surveyed 312 mainland migrant workers in Macao using self-administered questionnaires and used structural equation models and regression to analyze data. Findings illustrated that perceived stigma leads to job burnout (β1=0.24, p<0.001) whereas role stress acts as a mediating variable (β2=0.19, p<0.001) in the process. In addition, self-efficacy and organizational support buffer role stress mediating effect. The mediated moderator analysis found that when migrant workers are at a high-level self-efficacy or perceive high-level organization support, the mediation effect of role stress has been reduced to insignificant. In contrast, when migrant workers perceive middle or low-level self-efficacy and organization support perceptions, role stress has been in effect in transmitting stigmatization perception to job burnout. Results are aligned with the conservation of resources theory and job-demand theory. This study extends stigmatization study from sociology to the organization behavior studies. It is contended that Macao government, society, and employers need to offer sufficient support to migrant workers to buffer the effects of stigmatization, reduce their job burnout, and improve migrant workers’ health and well-being status.
ORTAOKUL ÖĞRENCİLERİNİN DİJİTAL OYUN BAĞIMLILIĞI, YALNIZLIK VE FİZİKSEL AKTİVİTE İLİŞKİSİ
Authors: ÇOBANOĞLU Merve , ÖZLÜ Metin
Published: December 2024

Bu kitap ORTAOKUL ÖĞRENCİLERİNİN DİJİTAL OYUN BAĞIMLILIĞI, YALNIZLIK VE FİZİKSEL AKTİVİTE İLİŞKİSİ" ni incelemek amacıyla yapılmıştır.
The detection, function, and therapeutic potential of RNA 2'-O-methylation
Authors: Wu Kaiyuan , Li Yanqiang , Yi Yang , Yu Yang , Wang Yunxia , Zhang Lili , Cao Qi , Chen Kaifu
Published: December 2024

RNA modifications play crucial roles in shaping RNA structure, function, and metabolism. Their dysregulation has been associated with many diseases, including cancer, developmental disorders, cardiovascular diseases, as well as neurological and immune-related conditions. A particular type of RNA modification, 2'-O-methylation (Nm) stands out due to its widespread occurrence on all four types of nucleotides (A, U, G, C) and in most RNA categories, e.g., mRNA, rRNA, tRNA, miRNA, snRNA, snoRNA, and viral RNA. Nm is the addition of a methyl group to the 2' hydroxyl of the ribose moiety of a nucleoside. Given its great biological significance and reported association with many diseases, we first reviewed the occurrences and functional implications of Nm in various RNA species. We then summarized the reported Nm detection methods, ranging from biochemical techniques in the 70’s and 80’s to recent methods based on Illumina RNA sequencing, artificial intelligence (AI) models for computational prediction, and the latest nanopore sequencing methods currently under active development. Moreover, we discussed the applications of Nm in the realm of RNA medicine, highlighting its therapeutic potential. At last, we present perspectives on potential research directions, aiming to offer insights for future investigations on Nm modification.
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPATUHAN PASIEN DALAM MENGGUNAKAN OBAT HIPERTENSI DI PUSKESMAS CIKARANG
Authors: Andini Nuruz Zakia , Marselina  , Masita Sari Dewi  , Anom Dwi Prakoso
Published: December 2024

Kepatuhan dalam penggunaan obat hipertensi merupakan faktor kunci dalam pengelolaan penyakit hipertensi, yang dapat meminimalkan risiko komplikasi seperti gagal jantung, stroke, dan penyakit ginjal. Namun, tingkat kepatuhan pasien sering kali dipengaruhi oleh berbagai faktor karakteristik individu. Penelitian ini bertujuan untuk menganalisis hubungan antara karakteristik pasien, seperti jenis kelamin, usia, tingkat pendidikan, pekerjaan, dan penyakit penyerta, dengan tingkat kepatuhan penggunaan obat pada pasien hipertensi di Puskesmas Cikarang. Penelitian ini menggunakan desain deskriptif analitik dengan pendekatan observasional. Sampel diambil secara accidental sampling sebanyak 98 responden, yang diukur tingkat kepatuhannya menggunakan kuesioner Morisky Medication Adherence Scale (MMAS-8). Data dianalisis dengan uji korelasi Rank Spearman untuk menentukan hubungan antara variabel. Analisis menunjukkan hubungan signifikan antara jenis kelamin (Sig = 0,005), usia (Sig = 0,003), dan penyakit penyerta (Sig = 0,037) dengan tingkat kepatuhan. Sebaliknya, tingkat pendidikan (Sig = 0,688) dan pekerjaan (Sig = 0,191) tidak menunjukkan hubungan signifikan dengan kepatuhan penggunaan obat. Faktor jenis kelamin, usia, dan penyakit penyerta merupakan determinan penting dalam kepatuhan penggunaan obat hipertensi. Temuan ini dapat dijadikan dasar untuk pengembangan strategi intervensi yang lebih efektif dalam meningkatkan kepatuhan pasien.
AI-Powered Monitoring: Next-Generation Observability Solutions for Cloud Infrastructure
Authors: Pochu Sandeep , Nersu Sai Rama Krishna , Kathram Srikanth Reddy
Published: December 2024

The paper proposes an advanced observability solution integrating AI-driven tools with Prometheus and Grafana for real-time system monitoring. It evaluates the impact on reducing downtime and improving predictive maintenance in cloud environments, marking a significant leap in operational efficiency.In the rapidly evolving landscape of cloud infrastructure, maintaining system reliability, performance, and scalability is more challenging than ever. Traditional monitoring approaches often struggle to keep pace with the dynamic and complex nature of modern cloud environments. This paper explores AI-powered monitoring, a transformative approach that leverages artificial intelligence and machine learning to deliver next-generation observability solutions. By analyzing vast amounts of data in real-time, AI-driven observability tools offer unparalleled insights into system behavior, enabling proactive detection of anomalies, predictive maintenance, and automated remediation. These innovations not only enhance system reliability but also empower organizations to optimize resource utilization and reduce operational costs. Through case studies and performance metrics, this paper demonstrates the critical role of AI in redefining monitoring strategies for cloud-native infrastructures, paving the way for a more resilient and efficient digital future.
The Influence of Economic Globalization on International Relations in the Era of Wireless Communication and Artificial Intelligence
Authors: Shuford Jeff
Published: December 2024

The nexus between politics and economics is undeniable, with the latter often serving as a cornerstone for the former. Thus, shifts in international relations can be comprehensively analyzed within the framework of economic progress. As we entered the twenty-first century, the advancement of information technology and the rapid enhancement of transportation capabilities have significantly reduced the cost of cross-regional trade for human beings. This has led to the widespread integration of production and product circulation across the globe, fostering closer ties among nations. The acceleration of resource and financial capital circulation has propelled rapid global economic integration, where any major economy's shock can induce instability globally.
 
Amidst this backdrop, political relations among nations have generally remained harmonious, despite occasional regional conflicts that tend to be relatively peaceful. Particularly in recent years, with wireless communication and artificial intelligence revolutionizing decision-making processes, the economic interdependence among countries has reached unprecedented levels. Simultaneously, international relations have become notably more intricate and volatile. To navigate this complexity effectively, it is imperative to explore the trends in international economic development within the context of contemporary technology.This research aims to dissect the impact of economic globalization on international relations under the backdrop of wireless communication and artificial intelligence. It seeks to elucidate the new facets of economic globalization within this framework and discern its potential ramifications for international relations. Furthermore, it delves into strategies for our country to better safeguard its own rights and interests through adept adjustments in international policies amid such evolving dynamics.
ปัจจัยส่วนประสมทางการตลาดที่ส่งผลต่อการตัดสินใจซื้อบัตรผ่านสื่อออนไลน์ เพื่อเข้ารับชมมิราเคิลคาบาเรต์โชว์เชียงใหม่
Authors: ภักดีมวลชน ดร.อัญมณี , สุย๊ะต๊ะ นพรัตน์
Published: December 2024

การวิจัยครั้งนี้เป็นการวิจัยเชิงปริมาณ มีวัตถุประสงค์เพื่อ 1) ศึกษาพฤติกรรมการซื้อบัตรผ่านสื่อออนไลน์ เพื่อเข้ารับชมมิราเคิล คาบาเรต์โชว์ เชียงใหม่ 2) ศึกษาระดับความคิดเห็นของผู้ชมต่อความเหมาะสมด้านส่วนประสมทางการตลาดของมิราเคิลคาบาเรต์โชว์ เชียงใหม่ 3) ศึกษาระดับความเห็นของกลุ่มผู้ชมต่อการตัดสินใจซื้อบัตรผ่านสื่อออนไลน์ และ 4) ศึกษาปัจจัยส่วนประสมทางการตลาดที่ส่งผลต่อการตัดสินใจซื้อบัตรผ่านสื่อออนไลน์เพื่อรับชมมิราเคิล คาบาเรต์โชว์ เก็บรวบรวมข้อมูลด้วยการวิจัยเชิงปริมาณ (Quantitative research) โดยใช้วิจัยเชิงสำรวจ (Survey research method) ด้วยวิธีการเก็บข้อมูลด้วยแบบสอบถาม (Questionnaire) สุ่มกลุ่มตัวอย่างแบบหลายขั้นตอน (Multi-stage random sampling) จำนวน 400 คน สถิติที่ใช้ในการวิเคราะห์ข้อมูล คือ ค่าความถี่ ค่าร้อยละ ค่าเฉลี่ย ส่วนเบี่ยงเบนมาตรฐาน และการวิเคราะห์การถดถอย (Regression analysis)
ผลการวิจัย พบว่า 1) พฤติกรรมในการรับชมมิราเคิล คาบาเรต์โชว์ กลุ่มตัวอย่างส่วนใหญ่ เคยรับชมจำนวน 1 ครั้งมากที่สุด ร้อยละ 51.70 เข้ารับชมเป็นหมู่คณะ มากกกว่า 5 คนขึ้นไป ร้อยละ 50.70 เคยซื้อบัตรเพื่อเข้ารับชมผ่านสื่อออนไลน์ ร้อยละ 52.00 และเสียค่าใช้จ่ายในการซื้อบัตรผ่านสื่อออนไลน์เพื่อเข้ารับชมมิราเคิล คาบาเรต์โชว์ จำนวน 3,001-4,000 บาท ร้อยละ 52.50 2) ผลการวิเคราะห์ ระดับความคิดเห็นของผู้ชมต่อความเหมาะสมด้านส่วนประสมทางการตลาดของมิราเคิล คาบาเรต์โชว์ เชียงใหม่ พบว่า โดยภาพรวมอยู่ในระดับมากที่สุด โดยเรียงลำดับจากมากไปหาน้อย ได้แก่ ด้านการส่งเสริมการตลาด ด้านราคา ด้านช่องทางการจำหน่าย และด้านผลิตภัณฑ์ 3) ระดับความคิดเห็นของกลุ่มผู้ชมต่อการซื้อบัตรผ่านสื่อออนไลน์ มีค่าเฉลี่ยอยู่ในระดับมากที่สุด (M = 4.435, SD = 0.419)  และ 4) ปัจจัยส่วนประสมทางการตลาด ด้านการส่งเสริมการตลาด สามารถพยากรณ์การตัดสินใจซื้อบัตรผ่านสื่อออนไลน์ เพื่อรับชมมิราเคิล คาบาเรต์โชว์ ได้ร้อยละ 66.80 โดยมีค่าสมการพยากรณ์ ได้แก่ การตัดสินใจซื้อบัตรผ่านสื่อออนไลน์เพื่อรับชมมิราเคิล คาบาเรต์โชว์ = 0.694 (ค่าคงที่) + .818 (ด้านการส่งเสริมการตลาด)
Pelatihan Membaca Huruf Hiragana Pada Siswa-Siswi Sekolah Menengah Pertama 10 Nopember Sidoarjo
Authors: Nurhadi Didik , Rusmiyati Rusmiyati , Agustin K Amira , S Nise Samudra , Mael Masilva Raynox
Published: December 2024

Kegiatan Pengabdian Kepada Masyarakat (PKM) dengan tema Pelatihan Membaca huruf Hiragana untuk pembelajar di sekolah menengah ditujukan sebagai usaha peningkatan kompetensi membaca huruf Hiragana serta minat Belajar Bahasa Jepang pada siswa-siswi pembelajar pemula menjadi lebih tinggi. Pemilihan tema pengabdian dilatarbelakangi atas keadaan pembelajaran huruf bahasa Jepang yang belum menampakkan hasil maksimal, kesesuaian antara beban materi yang banyak dengan waktu pembelajaran yang belum seimbang, serta ketersediaan waktu untuk memantapkan penerapan kompetensi bahasa Jepang siswa pembelajar pemula. Akar masalah ini menjadi peluang dosen di perguruan tinggi untuk berkontribusi dalam bentuk penelitian maupun pengabdian dalam usaha memberikan satu pemikiran dan solusi praktis khususnya menyangkut peningkatan kemampuan membaca huruf bahasa Jepang, terutama huruf Hiragana. Metode pelaksanan PKM menggunakan cara pelatihan/workshop, presentasi hasil perlatihan atas kompetensi membaca huruf Hiragana, kata dan kalimat dalam karangan pendek. Hasil pelatihan pada seluruh proses kegiatan dalam pencapaian ketiga kemampuan ini dilaksanakan dengan lancar dan memperoleh hasil yang baik khususnya adanya peningkatan keterampilan membaca huruf Hiragana dilihat pada aspek kelancaran dan kebenaran pelafalannya. Pendampingan oleh tim, pemecahan kasus dengan kolaborasi/Kerjasama dengan teman, mampu meningkatkan kepercayaan diri melalui kegiatan mandiri terbimbing menjadi kebaikan dari kegiatan pengabdian kepada masyarakat.  Selain itu, hasil wawancara kepada peserta didik pelatihan memperoleh informasi bahwa materi ajar menarik, variasi metode, dan pelibatan aktif siswa dalam memperoleh pengalaman belajar secara mandiri mendapatkan kesan positif dari siswa. Bahkan hasil praktik PKM ini mampu membuktikan pembelajaran bahasa melalui analisis kesalahan berbahasa dengan praktik langsung di kelas menjadi salah satu rekomendasi dalam menyelesaikan berbagai persoalan pembelajaran bahasa Jepang sebagai bahasa asing.