https://as-proceeding.com/index.php/ijanser/issue/feed International Journal of Advanced Natural Sciences and Engineering Researches 2025-09-30T00:00:00+03:00 IJANSER infoijanser@gmail.com Open Journal Systems <p>International Journal of Advanced Natural Sciences and Engineering Researches (IJANSER) publishes regular research papers, reviews, letters, and communications covering all aspects of engineering and natural sciences. Our aim is to publish novel / improved methods/approaches of these field to benefit the community, open to everyone in need of them. There is no restriction on the length of the papers or colors used. The method/approach must be presented in detail so that the results can be reproduced.</p> https://as-proceeding.com/index.php/ijanser/article/view/2807 Dikimhane Süreçlerinde Çizelgeleme Problemine Bir Çözüm Üretilmesi 2025-09-07T23:57:43+03:00 Alime Aslı İlleez alime.asli.illeez@ege.edu.tr <p>Günümüzün rekabetçi koşullarında hazır giyim firmalarının yapması gereken en önemli şey doğru <br>bir iş süreci planlamasıdır. Doğru bir planlama ile tedarik zinciri yönetimi ve diğer verimlilik çalışması <br>işletmelerdeki süreç israfının önüne geçecektir. Bu nedenle özellikle üretim aşamasının çizelgelemesi en <br>zor problemlerden birisidir. Bu çalışmada dikim süreçlerinin matematiksel bir model ile çizelgelemesi <br>amaçlanmaktadır. Bu çizelgelemede dikimhanede bir üründen diğer bir ürüne geçerken yaşanan hazırlık <br>zamanlarından en zaman alıcı olanları minimize ederek siparişlerin hangi sıra ile banda gireceği <br>belirlenmiştir.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2808 Comparative Assessment of Chromatographic Methods in the Analysis of Industrial Air Pollutants: Technological Developments and Application Strategies of the Last Decade 2025-09-08T00:07:28+03:00 Rukiye AYDIN rukiye.aydin@samsun.edu.tr <p>Industrial activities are indispensable to the economic and technological progress of modern <br>societies; however, they simultaneously generate considerable risks to environmental quality and human <br>health due to the release of atmospheric pollutants. Emissions from power plants, chemical processes, <br>metallurgical operations, petrochemical industries, and waste incineration facilities comprise a broad <br>spectrum of contaminants, including volatile organic compounds, polycyclic aromatic hydrocarbons, <br>pesticide residues, and heavy metal derivatives. These pollutants are well-documented for their toxic, <br>mutagenic, and carcinogenic effects, posing direct threats to public health while also causing persistent <br>disruptions in ecosystem dynamics. Accordingly, the accurate and reliable determination of such <br>substances, even at trace concentrations, is vital for the effective enforcement of environmental regulations <br>and the development of sustainable public health strategies. <br>Over the last decade, chromatographic techniques have become central to the monitoring and quantification <br>of industrial air pollutants. Gas chromatography (GC) and high-performance liquid chromatography <br>(HPLC) are widely employed for the analysis of volatile and semi-volatile organic compounds. Parallel <br>advancements in sampling techniques (e.g., passive and active sampling, thermal desorption, <br>microextraction approaches) and detector technologies (e.g., MS/MS, FLD, FID) have markedly improved <br>analytical sensitivity, precision, and environmental sustainability. <br>This review aims to provide a systematic overview of recent progress in chromatographic methods for <br>industrial air pollution monitoring, critically evaluate current applications, and identify emerging research <br>opportunities for future developments.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2809 Yeşil Tedarik Zinciri Yönetiminde Döngüsel Ekonomi Stratejilerinin Bulanık PROMETHEE Yöntemi Kullanılarak Değerlendirilmesi 2025-09-08T00:10:42+03:00 Gökalp SOLMAZ aytac.yildiz@btu.edu.tr Mustafa YILMAZ aytac.yildiz@btu.edu.tr Aytaç YILDIZ aytac.yildiz@btu.edu.tr <p>Günümüzde artan çevresel sorunlar, iklim değişikliği ve doğal kaynaklardaki hızlı azalma, <br>işletmeleri sürdürülebilirlik odaklı stratejiler geliştirmeye yöneltmektedir. Özellikle üretim ve tedarik <br>zinciri süreçlerinde çevresel etkilerin azaltılması, kaynak kullanımının verimli hâle getirilmesi ve atıkların <br>kontrol altına alınması, yalnızca bir sorumluluk değil aynı zamanda uzun vadeli rekabet avantajı sağlayan <br>stratejik bir gereklilik hâline gelmiştir. Bu kapsamda döngüsel ekonomi yaklaşımlarının yeşil tedarik zinciri <br>yönetimi ile bütünleşmesi, çevresel sürdürülebilirliği desteklerken ekonomik fayda da yaratmaktadır. <br>Bu çalışmanın amacı, sürdürülebilir kalkınma hedefleri doğrultusunda yeşil tedarik zincirinde döngüsel <br>ekonomi stratejilerinin etkinliğini incelemektir. Çalışmada altı strateji (döngüsel tasarım, yeniden kullanım, <br>yeniden üretim, geri dönüşüm, tersine lojistik ve dijital izlenebilirlik) yedi çevresel ve ekonomik kriter <br>(karbon ayak izi, kaynak verimliliği, atık yönetimi, inovasyon, regülasyon uyumu, maliyet avantajı ve <br>rekabetçilik) çerçevesinde değerlendirilmiştir. Stratejilerin önceliklendirilmesinde belirsizlikleri <br>modelleme yeteneği güçlü olan Bulanık PROMETHEE yöntemi kullanılmış, uzman görüşleri üçgensel <br>bulanık sayılarla ifade edilerek Yager indeksiyle durulaştırılmıştır. Analizler sonucunda döngüsel tasarım <br>en etkili strateji olarak belirlenmiştir. Elde edilen bulguların otomotiv firmalarının sürdürülebilirlik <br>raporlarıyla karşılaştırılması, sonuçların yüksek düzeyde tutarlı olduğunu ortaya koymuştur. Bu çalışma, <br>karar vericilere stratejik öneriler sunarken; aynı zamanda model, akademik literatüre yöntemsel katkı <br>sağlamakta ve işletmelere sürdürülebilir strateji geliştirme süreçlerinde yol gösterici bir çerçeve <br>sunmaktadır.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2810 LLaMA-2 and LLaMA-3 Models with SparseGPT-Based Model Compression and LoRA/QLoRA Integration: Efficient Large Language Model Optimization for Resource-Constrained Environments 2025-09-08T00:15:21+03:00 Erke Arıbaş aribas@itu.edu.tr Melisa Güler aribas@itu.edu.tr <p>Data exists in different sizes according to the needs and usage area. The need for these storage <br>areas is increasing day by day. However, the increasing size of these models significantly increases storage <br>requirements, memory usage, and inference latency, limiting applicability, especially on resource<br>constrained devices (e.g., mobile, embedded systems). By 2025, global data volume is expected to reach <br>175 zettabytes, underscoring the growing need not only for efficient storage solutions but also for effective <br>model optimization techniques [1]. Increasing model sizes and evolving computational requirements reveal <br>the importance of model compression. The choice of compression algorithm plays a decisive role in <br>balancing efficiency, speed, and accuracy. If the correct and efficient compression technique is chosen, <br>both the compression ratio can be increased and the processing time can be reduced, while choosing an <br>algorithm that is not suitable for the purpose can distract us from the target. When llama-2 and llama-3, <br>which are among the large language models, are examined, the fact that they have millions of parameters <br>can cause serious problems, especially in devices with limited storage and performance. The appropriate <br>compaction technique can be selected by taking into account the characteristics as well as the overall <br>performance metrics and size. With the SparseGPT used in this study, weights that can be considered <br>unnecessary are pruned and the model is reduced. Using the SparseGPT-based pruning method, up to 50<br>60% sparsity was applied on the LLaMA-2 and LLaMA-3 models, and significant memory savings were <br>achieved without the need for retraining by setting the insignificant weights in the parameter space of the <br>model to zero. This approach reduces the model size while eliminating the costly requirement of full <br>retraining. Then the model is customized with lora/qlora. Instead of completely retraining large models, <br>additional adjustments are made through adapters.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2811 Subclinical mastitis prevalence in the southern Albanian region 2025-09-08T00:21:03+03:00 Gerald Muça gmuca@ubt.edu.al Majlind Sulçe gmuca@ubt.edu.al Luigj Trumalaj gmuca@ubt.edu.al Pëllumb Zalla gmuca@ubt.edu.al Egon Andoni gmuca@ubt.edu.al Enkeleda Ozuni gmuca@ubt.edu.al Doriana Beqiraj gmuca@ubt.edu.al Albana Muga gmuca@ubt.edu.al Xhelil Koleci gmuca@ubt.edu.al <p>Mastitis is a pathology widely extended in dairy cattle throughout the world and causes high <br>economic losses to the dairy farms. It also deteriorates the welfare of animals and exposes consumers to <br>unhealthy and low-quality products. Mastitis is classified as clinical or subclinical; clinical mastitis is <br>characterized by visual clinical signs that are manifested in animal udder and milk appearance. The <br>subclinical form of this disease is difficult to diagnose due to a lack of clinical signs. The only way to be <br>detected is by measuring somatic cells with specific tests. A broad regional survey was conducted in the <br>south Albanian region (Fier, Berat, Korçë, Gjirokastër, and Vlorë district) to estimate the prevalence of <br>subclinical bovine mastitis. In total, 215 cows from different farm sizes were screened for subclinical <br>mastitis. Milk samples were screened with the California Mastitis Test (CMT). A cow with at least one <br>udder quarter that resulted after screening in +1, +2, or +3 was estimated as positive for subclinical mastitis. <br>Analysis of collected samples demonstrates an overall prevalence of subclinical mastitis of 59% in the <br>southern Albania region. Fieri resulted in the district with the highest subclinical mastitis prevalence, with <br>68%. The results indicate the necessity of new strategies for mastitis control and prevention.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2812 Simulation of Longitudinal Vehicle Dynamics under FTP-75 Drive Cycle Using MATLAB/Simulink 2025-09-08T00:28:15+03:00 Serhat Küçükdermenci kucukdermenci@balikesir.edu.tr <p>This study presents a MATLAB/Simulink-based framework for analyzing the longitudinal <br>dynamics of passenger vehicles under standardized drive cycles. The primary objective is to provide a <br>flexible tool for quantifying tractive effort, power demand, and wheel torque , which are critical for the <br>design and performance evaluation of electric and hybrid vehicles. The model incorporates fundamental <br>resistive forces including rolling resistance, aerodynamic drag, gradient resistance, and acceleration <br>resistance, each implemented as modular subsystems in Simulink. The FTP-75 drive cycle, widely <br>recognized for emulating urban driving conditions, is used as the input speed profile to evaluate vehicle <br>behavior under dynamic scenarios such as acceleration, deceleration, and stop-and-go traffic. Simulation <br>outputs include time-based profiles of tractive effort, instantaneous power, and wheel torque, providing <br>clear insights into the energy demands. Results indicate that tractive effort peaks during acceleration and <br>uphill segments, while aerodynamic drag becomes dominant at higher speeds. Power requirements fluctuate <br>up to approximately 70 kW, and torque values reach around 1600 Nm, consistent with medium-sized <br>passenger vehicles. The findings confirm that the proposed framework accurately tracks the reference <br>velocity profile and generates performance estimates. Overall, this study demonstrates the effectiveness of <br>drive cycle-based modeling in supporting motor sizing, battery capacity planning, and control strategy <br>development, offering a valuable foundation for both academic research and industrial vehicle design <br>optimization.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2813 The Economic Consequences of the COVID-19 Crisis on the Economy of the Republic of North Macedonia 2025-09-08T00:31:43+03:00 Albiona Demiri Bekteshi albiona_demiri@hotmail.com Teuta Qerimi Sadiku teuta.qerimi@hotmail.com <p>The COVID-19 pandemic brought rapid and unexpected changes across the global economy. <br>Fiscal and monetary policies lacked prepared mechanisms and teams to manage such a crisis, further <br>weakening the ability to mitigate its consequences on economic activity. The COVID-19 crisis represents <br>one of the largest global shocks in recent history and significantly influenced the economic flows of the <br>Republic of North Macedonia. It caused severe disruptions in production, transportation, and trade, leading <br>to a slowdown in economic activity and reduced revenues for many companies. Regarding exports, the <br>Macedonian economy faced decreased international demand, particularly in the automotive industry and <br>metallurgy—key export sectors. Imports also declined due to reduced domestic demand and disruptions in <br>global supply chains. These processes directly affected foreign direct investment (FDI), which, under <br>conditions of uncertainty and diminished risk appetite, was redirected toward safer markets, leading to <br>postponed or reduced planned investments in the country. The most visible indicator of economic <br>slowdown was the drop in Gross Domestic Product (GDP) in 2020, as a consequence of lower productivity <br>and consumption. Nevertheless, the gradual adaptation of economic actors and government support <br>measures enabled partial stabilization. The analysis shows that the COVID-19 crisis not only highlighted <br>the structural weaknesses of the Macedonian economy but also emphasized the need for market <br>diversification, greater digitalization, and enhanced resilience to future crises.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2814 Exploring the effects of role ambiguity and conflict on employee commitment in the Banking Industry 2025-09-08T00:36:30+03:00 Martin Serreqi martin.serreqi@unitir.edu.al Jonida Lama jonida.lama@unitir.edu.al <p>Researchers in the fields of human resources and organizational behavior have been studying <br>organizational commitment for decades. This is due to the fact that employee commitment is believed to <br>be a fundamental driver of organizational performance and productivity (Fiorito, Bozeman, Young, &amp; <br>Meurs, 2007) (Meyer, Allen, &amp; Smith, 1993). One reason for this is because it is believed that <br>organizational commitment is the driving force behind effectiveness and performance. The goal of this <br>research is to investigate the connection between role ambiguity and conflict and the level of employee <br>commitment in a business. For the purpose of this research, a representative sample of 181 banking industry <br>employees was used. The objective is to determine the factors of role ambiguity and conflict that have an <br>effect on organizational commitment, with the intention of providing employers with actionable insights <br>that can be used to increase employee performance and commitment. According to the results, both role <br>ambiguity and conflict have an effect on the level of organizational commitment across all of the responding <br>individuals.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2815 Digital Surveillance and Employee Autonomy in the Context of Gendered Inequalities: A Critical Theory Perspective 2025-09-08T00:42:08+03:00 Aslı Çillioğlu Karademir aslia6375@gmail.com <p>This study is a qualitative study examining the effects of digital surveillance technologies on <br>employee autonomy within a gender perspective and critical theory. In today's rapidly expanding <br>digitalization era, artificial intelligence-based recruitment systems, algorithmic management, and remote <br>working software are not only transforming business processes but also reproducing gender-based <br>inequalities. The literature indicates that women are rated lower in algorithmic recruitment systems, that <br>they experience a "double burden" in the home-work balance while working from home during the <br>pandemic, and that women employees in the gig economy face both algorithmic pressure and gender<br>based risks. Critical theory interprets this process as technology ceasing to be a neutral tool and becoming <br>an ideological mechanism that reproduces relations of domination. Adorno and Horkheimer's critique of <br>"instrumental reason" demonstrates that digital surveillance produces surveillance and control rather than <br>liberating potential, while Habermas's theory of communicative action emphasizes the suppression of <br>employee voices in the workplace and the weakening of democratic functioning. Ultimately, the study <br>demonstrates that ignoring the gender dimension of digital surveillance will lead to an incomplete <br>assessment. Therefore, surveillance should also be considered a gendered form of domination and <br>discussed more in depth. Thus, it seems that understanding surveillance as a gendered form of domination <br>will make a significant contribution to the literature and critical discussions.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches https://as-proceeding.com/index.php/ijanser/article/view/2816 Digitalization of public services as a tool for implementing European administration standards in Kosovo: analytical approach on the impact on reducing administrative burden 2025-09-08T00:45:19+03:00 PhD Cand. Elsa Zyberaj ez31437@seeu.edu.mk <p>This article addresses the digitalization of public services in Kosovo as an essential instrument for <br>implementing European standards of public administration and reducing the administrative burden. The use <br>of analytical and comparative approaches has enabled the identification of the impact of existing platforms – <br>such as e-Kosovo , online fiscal reporting systems and e-procurement – in improving the efficiency and <br>transparency of public institutions. The analysis of scientific literature and official documents showed that <br>digitalization has brought tangible benefits, reducing time and costs for citizens and businesses, reducing <br>bureaucratic burdens and increasing the level of institutional accountability. However, the study highlights <br>that the process remains limited due to the lack of interoperability between systems, limited technical <br>capacities and low level of use by citizens, especially in rural areas. Compared to the experiences of EU <br>countries, Kosovo is still at an initial stage of digital governance, but the benefits achieved so far confirm the <br>great potential of this transformation. The main conclusion is that the digitalization of public administration <br>in Kosovo should not be seen only as a technological modernization, but as a political and institutional <br>process closely related to European integration. Through an integrated strategy, investments in infrastructure <br>and human capacities, as well as the harmonization of legislation with EU directives, Kosovo can build an <br>efficient, transparent and European-standard public administration.</p> 2025-09-08T00:00:00+03:00 Copyright (c) 2025 International Journal of Advanced Natural Sciences and Engineering Researches