Final Segment Research Articles

Floating mora affixation in Huozhou diminutive subtraction

This paper argues for an item-and-arrangement approach by demonstrating that the diminutive form in Huozhou Chinese results from the affixation of a floating mora. Diminutives in Huozhou Chinese are formed by deleting the final non-vocalic segment of a syllable, along with some subsegmental changes (e.g., [pʰɑŋ35] ‘plate’, [pʰaː35] ‘plate.DIM’). This paper provides a detailed description of these patterns and proposes that the underlying representation of the diminutive morpheme is a floating mora, with subtraction serving as a repair strategy for this floating mora affix. This paper makes two main contributions. First, it introduces new data on subtractive morphology. Second, it provides a formal analysis and further supports this proposal from a typological perspective, thereby supporting the item-and-arrangement approach to morphology. Overall, by combining a case study of Huozhou Chinese with a typological discussion, this analysis shows that nonconcatenative morphology can be interpreted as additive, leading to a more economical grammar and more restrictive predictions.

Frost resistance and improvement techniques of recycled concrete: a comprehensive review

In the pursuit of sustainable construction practices, the utilization of recycled concrete has emerged as a pivotal strategy, distinguished by its commitment to resource conservation and environmental stewardship. Nevertheless, the inherent micro-porosity and micro-cracking within the old mortar of recycled concrete may lead to weak bonding performance at the interfacial transition zone, culminating in diminished strength, reduced density, and elevated water absorption rates compared to conventional concrete, which critically impairs its performance in cold climates subjected to freeze-thaw cycles. Consequently, this paper provides a structured examination of the frost resistance properties of recycled concrete subjected to freeze-thaw cycling. Initially, the study delineates the mechanisms of frost-induced damage in recycled concrete by synthesizing the degradation pathways observed in both conventional and recycled concrete during freeze-thaw exposure. Subsequently, a detailed analysis is conducted to identify the pivotal factors affecting frost resistance, encompassing the proportion and moisture affinity of recycled aggregates, the addition of silica fume and fly ash, the water-to-cement ratio, and the degree of water saturation. In the final segment, the study compiles and reviews the strategies for bolstering the frost resistance of recycled concrete, including the incorporation of air-entraining admixtures, fiber reinforcement, and aggregate modification approaches. The objective of this research is to offer a thorough comprehension of recycled concrete, with a concentration on the mechanisms of frost damage, the critical determinants of frost resistance, and interventions to augment its resilience against freezing conditions. On this basis, the present paper, in conjunction with the characteristics and current research status of recycled concrete, proposes recommendations for the application of recycled concrete in cold regions. This review is anticipated to facilitate researchers in gaining a comprehensive understanding of the freeze-thaw characteristics of recycled concrete and the measures to enhance its frost resistance. Furthermore, it aims to assist engineering and technical personnel in selecting appropriate treatment methods to improve the frost resistance of recycled concrete in cold regions, thereby promoting the practical engineering application of recycled concrete in such areas.

Sense-Bestowal and Sense-Withdrawal

AbstractAs is well known, sense-bestowal (Sinngebung) is a fundamental concept in Husserl’s transcendental phenomenology. Husserl considers that everything, including nonsense or absurdity, is a result of consciousness’ production of sense. In the following article, I will argue against this thesis. More precisely, I claim that there are experiences that are not characterised by sense-bestowal. These experiences, which, in my view, are directly related to Husserl’s concept of limit-phenomena, can be called sense-withdrawal experiences. In order to show this, the paper has the following structure: First, I will analyse the highly nuanced concept of sense-bestowal, drawing connections to the notion of constitution. Second, I will introduce the concept of limit-phenomena, which I will interpret in terms of sense-refusing experiences. This, in turn, will enable me to delve into the concept of sense-withdrawal, which will serve as the focal point of the final segment of the paper.

Technophilosophical underpinnings of Westworld (2016–2022)

Using the events of the HBO series Westworld (2016–2022) as a springboard, this paper attempts to elicit a number of philosophical arguments, dilemmas, and questions concerning technology and artificial intelligence (AI). The paper is intended to encourage readers to learn more about intriguing technophilosophical debates. The first section discusses the dispute between memory and consciousness in the context of an artificially intelligent robot. The second section delves into the issues of reality and morality for humans and AI. The final segment speculates on the potential of a social interaction between sentient AI and humans. The narrative of the show serves as a glue that binds together the various ideas that are covered during the show, which in turn makes the philosophical discussions more intriguing.

Harmony through Order: Unveiling the Pivotal Role of Structural Precision in Assembling Phthalocyanines and Porphyrins

This presentation will focus on the strategic creation of 'Designer Solids' using chromophoric building blocks, in particular porphyrins and phthalocyanines. By employing the MOF-approach, suitable photoactive compounds are assembled into crystalline materials. Highlighted will be the latest advancements in the creation of MOF-based devices, covering a range of technologies such as electrochemical, photoelectrochemical, photovoltaic, and sensing applications, again emphasizing the use of porphyrin and phthalocyanine linkers. The talk will also explore the innovative use of internal interfaces in MOF heterostructures for enhanced photon upconversion and diode production.Addressing the challenge of forming stable and consistent electrical contacts with MOF materials, as well as producing high optical quality MOF thin films, we have developed a layer-by-layer (LbL) deposition technique [1] for crafting well-defined, highly oriented, and uniform MOF thin films on suitably prepared conductive and/or transparent surfaces. These films, known as SURMOFs, exhibit promising characteristics, particularly for optical uses [2]. We will detail the principles behind SURMOF construction and present findings from comprehensive studies on their electrical and photophysical behaviors, both in their original state and when their pores are filled with functional additives.[3,4] Additionally, the effects on band structure in crystalline porphyrin arrays constructed via the SURMOF method will be examined.[5]The lecture will also delve into further applications achieved by incorporating nanoparticles or quantum dots into MOFs, and the creation of molecular solids without inversion symmetry for second harmonic generation (SHG).[6]In the final segment, the suitability of SURMOFs for automated research methods will be discussed. Leveraging robotic systems governed by machine learning (ML) algorithms, we can effectively fine-tune thin film attributes such as orientation, crystallinity, and surface smoothness. [7,8] This aspect will be particularly emphasized in relation to the development of SURMOF-based sensor systems.

A critical appraisal on the involvement of plant-based extracts as neuroprotective agents (2012-2022): an effort to ease out decision-making process for researchers.

The purpose of this review study is to provide a condensed compilation of 164 medicinal plants that have been investigated for their neuroprotective aspects by researchers between the years 2012 and 2022 which also includes a recent update of 2023-2024. After using certain keywords to retrieve the data from SCOPUS, it was manually sorted to eliminate any instances of duplication. The article is streamlined into three major segments. The first segment takes a dig into the current global trend and attempts to decrypt vital information related to plant names, families, plant parts used, and neurological disorders investigated. The second segment of the article makes an attempt to present a comprehensive insight into the various mechanistic pathways through which phytochemicals can intervene to exert neuroprotection. The final segment of the manuscript is a bibliometric appraisal of all researches conducted. The study is based on 256 handpicked articles based on decided inclusion criteria. Illustrative compilation of various pathways citing their activation and deactivation channels are also presented with possible hitting points of various phytochemicals. The present study employed Microsoft Excel 2019 and VOS viewer as data visualisation tools.

Civilizational Development in Andalusia in the Writings of Orientalists in the French Orientalist School Gustave Le Bon as A Model

This study intends to present the cultural development in Andalusia and indicates the most prominent writings of French Orientalists regarding this civilization, as well as their appreciation for Arab culture. In this sense, the French Orientalist Gustave Le Bon is a role model. Among the most well-known philosophers in the West, he has shown justice to the Arab people and Islamic culture. This research therefore centers on his writings, which are full of references to the contributions that Arabs and the Arab Islamic nation have made to the West. He wrote the important work "La Civilisation des Arabes" ("The Civilization of the Arabs"), which offers insightful details on Arab civilization, and he accepted that Muslims were the ones who brought civilization to Europe. Additionally, the study seeks to expose the genuine character of Western Orientalists by differentiating between those who are sympathetic to Arab Muslims and those who are hostile to both Islam and Arabs. It demonstrates how the Arabs taught the West about civilization and advancement in many spheres of life.There are three sections to the research. The history, growth, and current status of the French Orientalist School are covered in the first section. The biography, writings, and methods of French Orientalist Gustave Le Bon are the main subjects of the second half. The final segment looks at Andalusia's cultural evolution.In writing this research, I have relied on both Arab and foreign sources, and I hope it will meet the reader's approval.

Photo-Thermal Optimization of a Parabolic Trough Collector with Arrayed Selective Coatings

This work aims at enhancing the photo-thermal performance of a parabolic trough collector (PTC) system by implementing multiple coatings arrayed along the receiver tube. For this purpose, a lumped-parameter model was developed in the radial direction of the receiver tube to compute absorber tube wall temperature and heat losses at various heat transfer fluid (HTF) temperatures. The HTF is a mixture of molten salt (60%wt. NaNO3 + 40%wt. KNO3). The lamped-parameter model was exploited by a 1D model developed in the axial direction to determine the HTF temperature profile along the tube. The 1D model was employed to calculate photo-thermal efficiency at different HTF temperatures considering six selective coating formulations. Consequently, the most photo-thermally efficient configuration of the PTC system was determined, encompassing three HTF temperature ranges characterized by three different selective coating formulations. These temperature ranges were 290–436 °C (low temperature), 436–517 °C (medium temperature) and 517–550 °C (high temperature). The respective tube lengths were computed to be 792 m, 566 m and 293 m, considering the reference operational conditions. The optimal configuration enhanced the overall photo-thermal efficiency by 0.5–1.9% compared to the single-coated configurations. Furthermore, receiver cost could be reduced because of the employment of the more expensive coating only at the final segment.

The arterial vascularization of the gastrointestinal tract of the Common pheasant (Phasianus colchicus)

The common pheasant has been the subject of scientific research, although it has yet to receive as thorough analysis as other domestic birds. It has spread to many world areas, adapting to diverse environments. A study was conducted on 30 carcasses of female common pheasants. The aim of the study was a comparative analysis of the anatomy of vessels supplying the digestive system of the pheasant. An anatomical study of the pheasant's arteries revealed that the celiac artery originates from the right part of the descending aorta. Its branches include the proventriculus artery, which supplies vessels to the proventriculus and esophagus. This artery also supplies the spleen, duodenum, and the initial segment of the large intestine. Both the left and right branches of the celiac artery give off numerous branches that reach different areas of the intestines and stomach, forming a complex network of vessels. The cranial mesenteric artery is a crucial vessel supplying the small and large intestines, while the caudal mesenteric artery supplies the final segment of the large intestine and cloaca. Additionally, the pudendal arteries are responsible for vascularizing the cloaca and surrounding structures in this species of bird. These detailed anatomical observations are significant for understanding the blood circulation in pheasants.

Assessing efficiency and resilience in the Dewathang Thromde water distribution system

Dewathang Thromde, a subdivision of Samdrup Jongkhar Thromde, faces a significant challenge in its drinking water supply. The region relies on a gravitational water supply system from Lemtshorong and Zalakhe. This study aims to assess the current system and determine its adequacy for the future population. The study employs manual methods, such as bucket and stopwatch techniques, to determine discharge at the water source, complemented by field observations for pipe size measurements. Utilizing EPANET software and a Demand Driven Analysis (DDA) approach, distribution network’s pressure and velocity requirements are analyzed. Elevation data from the My Elevation mobile app, validated by Google Earth images, contribute to a comprehensive evaluation. During peak season, a discharge of 35.92 l/s is documented, contrasting with 9 l/s during the lean season. The population, recorded at 2644 in 2005, surged to 3881 in 2017, with a forecast anticipating 7170 people by 2035 using the Incremental Increase Method. Average water consumption per person is approximately 113.35 lpcd, exceeding the WHO standard, influenced by climatic conditions. With a population of approximately 4389 in 2021, the current water demand in Dewathang Thromde is 13.72 l/s, surpassing the discharge capacity of 9 l/s during the lean season. By 2035, the projected water demand is expected to reach 22.41 l/s, exceeding the current source discharge by over 100%. Simulation results for the upstream and downstream networks of the Break Pressure Tank (BPT) reveal pressure-related challenges, with over 20 percent of nodes experiencing excessive pressure along HDPE pipes. Bursting incidents and negative pressure at more than 10 percent of nodes emphasize the need for network improvements, especially during reduced source discharge. The final segment of the pipe network surpasses the prescribed maximum flow velocity due to the direct proportionality between velocity and pipe diameter. Smaller pipe sizes, while limiting velocity, paradoxically contribute to actual velocities exceeding specified limits. Addressing these challenges is crucial for ensuring a sustainable and reliable water supply system in Dewathang Thromde.

Using word evolution to predict drug repurposing

BackgroundTraditional literature based discovery is based on connecting knowledge pairs extracted from separate publications via a common mid point to derive previously unseen knowledge pairs. To avoid the over generation often associated with this approach, we explore an alternative method based on word evolution. Word evolution examines the changing contexts of a word to identify changes in its meaning or associations. We investigate the possibility of using changing word contexts to detect drugs suitable for repurposing.ResultsWord embeddings, which represent a word’s context, are constructed from chronologically ordered publications in MEDLINE at bi-monthly intervals, yielding a time series of word embeddings for each word. Focusing on clinical drugs only, any drugs repurposed in the final time segment of the time series are annotated as positive examples. The decision regarding the drug’s repurposing is based either on the Unified Medical Language System (UMLS), or semantic triples extracted using SemRep from MEDLINE.ConclusionsThe annotated data allows deep learning classification, with a 5-fold cross validation, to be performed and multiple architectures to be explored. Performance of 65% using UMLS labels, and 81% using SemRep labels is attained, indicating the technique’s suitability for the detection of candidate drugs for repurposing. The investigation also shows that different architectures are linked to the quantities of training data available and therefore that different models should be trained for every annotation approach.

The Association between Parents´ Knowledge and Proper Use of Insulin in Patients with Type I Diabetes Mellitus

Background: It is possible that treatment may not be successful, and the expenses of therapy may increase due to patients’ lack of knowledge and inappropriate conduct. Insufficient knowledge regarding the use of insulin can hinder its effectiveness and adherence. Therefore, it is crucial for diabetic patients to follow guidance on insulin management to ensure better outcomes. Objectives: to investigate the correlation between parents' knowledge of children with type I diabetes and their ability to properly administer insulin to their children in the outpatient diabetes clinic in Nasiriya City. Methodology: Aross-sectional study was conducted at the of Endocrinology and Diabetes in Nasiriyah, Iraq between October 4, 2022, and March 30, 2023. The study enrolled 180 children and adolescents diagnosed with type 1 diabetes mellitus. The surveys were translated into formal Arabic and administered through face-to-face interviews and patient-caregiver. The knowledge phase 15 questions, while the final segment on taking insulin had five questions. Blood samples were collected from the patients to measure their fasting blood sugar and Glycated hemoglobin. The collected data underwent descriptive analysis using SPSS version 25 software. Results: A total of 180 children and adolescents with type I diabetes were part of the study. The patient's average age was (10.75 ±4.36) years, and they had been diagnosed with type 1 diabetes for an average of (6.24 ±3.70) years. Their fasting blood sugar level was out of control (208.42 ±95.0 mg/dl) and their HbA1c level was (9.90±2.85%). Most of the patients (52.2%) were female and had only completed kindergarten (43.3%). The majority of caregivers were parents or guardians who were either illiterate (30.6%) or had an elementary education (33.9%). Conclusions: The study concluded that most of the caregivers had poor behaviors and insufficient knowledge about insulin usage in type 1 diabetic patients.

The Ginsburg–Sands theorem and computability theory

The Ginsburg–Sands theorem from topology states that every infinite topological space has an infinite subspace homeomorphic to exactly one of the following five topologies on ω: indiscrete, discrete, initial segment, final segment, and cofinite. The original proof is nonconstructive, and features an interesting application of Ramsey's theorem for pairs (RT22). We analyze this principle in computability theory and reverse mathematics, using Dorais's formalization of CSC spaces. Among our results are that the Ginsburg–Sands theorem for CSC spaces is equivalent to ACA0, while for Hausdorff spaces it is provable in RCA0. Furthermore, if we enrich a CSC space by adding the closure operator on points, then the Ginsburg–Sands theorem turns out to be equivalent to the chain/antichain principle (CAC). The most surprising case is that of the Ginsburg–Sands theorem restricted to T1 spaces. Here, we show that the principle lies strictly between ACA0 and RT22, yielding arguably the first natural theorem from outside logic to occupy this interval. As part of our analysis of the T1 case we introduce a new class of purely combinatorial principles below ACA0 and not implied by RT22 which form a hierarchy generalizing the stable Ramsey's theorem for pairs (SRT22). We show that one of these, the Σ20 subset principle (Σ20-Subset), has the property that it, together with the cohesive principle (COH), is equivalent over RCA0 to the Ginsburg–Sands theorem for T1 CSC spaces.

Machine learning in cybersecurity: A review of threat detection and defense mechanisms

The cybersecurity concerns get increasingly intricate as the digital world progresses. In light of the increasing complexity of cyber threats, it is imperative to develop and implement advanced and flexible security strategies. Machine Learning (ML) has become a potent tool in strengthening cybersecurity, providing the capacity to scrutinise extensive information, recognise trends, and improve threat detection and defence methods. This paper examines the significance of ML in the field of cybersecurity, with a special emphasis on the identification of threats and the implementation of protective measures. By incorporating ML algorithms into cybersecurity frameworks, organisations may automate decision-making processes, facilitating prompt responses to ever-changing threats. The initial segment explores the terrain of cyber threats, highlighting the necessity for dynamic and aggressive security methods. Conventional solutions that rely on signatures are frequently inadequate when it comes to handling sophisticated, shape-shifting attacks. ML algorithms, in contrast, have exceptional proficiency in identifying nuanced patterns and irregularities within extensive datasets, therefore offering a more efficient method of detecting potential threats. The second section delves into several ML methodologies utilised in cybersecurity, including supervised and unsupervised learning, deep learning, and reinforcement learning. Every approach is assessed based on its suitability for threat detection, demonstrating its advantages and constraints. Furthermore, the relevance of feature engineering and data pretreatment in improving machine learning models for cybersecurity applications. The versatility of ML algorithms allows them to grow with emerging threats, making them a useful tool in the ever-changing arena of cyber warfare. The final segment focuses on real-world applications of machine learning in cybersecurity, presenting successful use cases across sectors. From anomaly detection to behavior analysis, ML algorithms contribute to the discovery of dangerous activity, lowering false positives and strengthening the overall security posture. Lastly, the paper covers the obstacles and ethical issues related to the adoption of ML in cybersecurity. Issues like as adversarial assaults, skewed datasets, and the interpretability of ML models are examined, highlighting the necessity for a holistic strategy that integrates modern technology with ethical considerations. The fusion of human expertise and machine intelligence offers a formidable defense against evolving cyber threats, paving the way for a more resilient and secure digital future.

Primeiro registro do Platyfish do Sul, Xiphophorus maculatus (), (Cyprinodontiformes: Poeciliidae) em riachos costeiros da Venezuela e implicações para a conservação

Abstract Several fishes of the family Poeciliidae are commonly produced in ornamental aquaculture and also used for pest control, leading to their introduction in numerous countries. Many of these species exhibit tolerance and invasiveness, as exemplified by Xiphophorus maculatus (Günther, 1866). This report documents the presence of X. maculatus in a Caribbean coastal stream in Venezuela. Quizandal Creek has experienced significant human intervention in its lower drainage and channel area. In the final segment of the creek the fish were captured using hand nets and beach seines. The specimens were transported alive to the laboratory for evaluation and subsequently preserved according to standard methods and later were cataloged in the fish collection. 16 males ♂ and 8 females ♀ (16.6-29.4 mm SL. CPUCLA-3630) from the Quizandal Creek, part of the coastal drainage of the Borburata River, were analyzed. This is the first report on the occurrence of Xiphophorus maculatus in natural environments of Venezuela. These coastal streams are situated in a zoogeographic transition zone between regional freshwater ichthyofaunas that have a limited number of species, primarily secondary and amphidromous, which could be susceptible to the presence of introduced species. Xiphophorus fish demonstrate the ability to thrive in highly degraded environments, promoting their dispersion and amplifying the impact on the habitat and local fish, particularly small endemic fish, such as the Rivulidae and Poeciliidae.

Coldest: how new quantum states of matter emerged

The road to Bose–Einstein condensates and degenerate Fermi gases was paved with ideas that shouldn’t have worked, but did, as Chad Orzel explains in the final segment of his three-part history of laser cooling.

INTERSECTING LEARNING THEORIES AND TEACHING APPROACHES IN UZBEKISTAN'S LANGUAGE CLASSROOMS: A HOLISTIC EXPLORATION

This article provides a comprehensive examination of the intricate relationship between learning theories and teaching approaches, emphasizing its global significance and specific implications for Uzbekistan's foreign language classrooms. Combining insights from two detailed sources and a survey conducted in three languages, the exploration encompasses theoretical foundations, contextual factors, and practical findings.The final segment integrates findings from an anonymous survey conducted in three languages, revealing student perceptions and experiences in Uzbekistan's language classrooms. Key insights include the variability in teaching methods, teacher consideration for the impact on learning, the prevalence of diverse teaching approaches, commonly used methods, effectiveness ratings, challenges faced, integration of learning theories, teacher training levels, and the perceived impact on education policies.By combining these components, the article aims to offer a holistic understanding of the complex relationship between learning theories and teaching approaches. Practical implications are drawn for educators in Uzbekistan and beyond, providing tailored strategies that align with cultural and educational contexts, ultimately enhancingteaching and learning outcomes.

Restructuring Russian Christian Personal Names in the Pre-National Period: Names in -y

This article is the concluding part of a series of articles investigating the derivation of the geographically limited system of Christian personal name forms during the pre-national period. Drawing on anthroponyms from Tver business texts of the 16th–17th centuries, it explores the structural reorganization of full male personal names in colloquial speech. The focus of the analysis is on the productive paradigmatic class *-jŏ, specifically full forms of anthroponyms with a soft base (ending in -y) in different variants: -iy, -ey, -ay, -oy. During the period studied, these colloquial full forms were highly diverse, with numerous phonetic and morphological variants. These variants primarily emerged from fictitious segmentation and formal alteration of the anthroponymic bases. At the same time, preference in documents is given to colloquial rather than canonical forms, which were used mainly by clergymen. The article identifies the word-formation mechanisms that facilitated the integration of foreign personal names into the Russian onomastic system, leading to the development of numerous colloquial full forms of names, particularly through structural reorganization and formal-associative relationships involving modifications to the final segment of the name. These structural transformations, combined with phonetic changes, create a unique anthroponymic pattern specific to each territory. The analysis reveals that in the 16th–17th centuries Tver documents, two forms of Christian personal names were particularly stable and frequently recurring: consonant-final truncated forms (e.g., Vlas, Nazar, Taras, Fedos) and forms ending in -ey (e.g., Vlasey, Nazarey, Tarasey, Fedosey).

Malzeme Mühendisliğinde Gelişmiş Malzeme Davranışı Tahmini ve Üretim Süreci Optimizasyonu için Dijital İkizler ve Uygulamaları

The advent of Industry 4.0 and the digital revolution have brought forth innovative technologies such as digital twins, which have the potential to redefine the landscape of materials engineering. Digital twins, virtual representations of physical entities, can model and predict material behavior, enabling enhanced design, testing, and manufacturing of materials. However, the comprehensive utilization of digital twins for predictive analysis and process optimization in materials engineering remains largely uncharted. This research intends to delve into this intriguing intersection, investigating the capabilities of digital twins in predicting material behavior and optimizing manufacturing processes, thereby contributing to the evolution of advanced materials manufacturing. Our study will commence with a detailed exploration of the concept of digital twins and their specific applications in materials engineering, emphasizing their ability to simulate intricate material behaviors and processes in a virtual environment. Subsequently, we will focus on exploiting digital twins for predicting diverse material behaviors such as mechanical properties, failure modes, and phase transformations, demonstrating how digital twins can utilize a combination of historical data, real-time monitoring, and sophisticated algorithms to predict outcomes accurately. Furthermore, we will delve into the role of digital twins in optimizing materials manufacturing processes, including casting, machining, and additive manufacturing, illustrating how digital twins can model these processes, identify potential issues, and suggest optimal parameters. We will present detailed case studies to provide practical insights into the implementation of digital twins in materials engineering, including the advantages and challenges. The final segment of our research will address the current challenges in implementing digital twins, such as data quality, model validation, and computational demands, proposing potential solutions and outlining future directions. This research aims to underline the transformative potential of digital twins in materials engineering, thereby paving the way for more efficient, sustainable, and intelligent material design and manufacturing processes.

Navigating the Complexities of Qualitative Research in Built Environmental Studies: Methodologies, Philosophies, and Credibility


 
 
 
 Qualitative research is renowned for its ability to investigate intricate scenarios and produce in-depth insights, and it is especially well-suited when human subjects are involved. Consequently, it has experienced a surge in popularity within the field of built environmental research. Researchers may encounter inherent complexities when employing qualitative research techniques. In response to these challenges, this working paper seeks to comprehensively examine the matter by delving into relevant issues, including the distinctive characteristics of research, research methodologies encompassing research philosophies, the rationale behind research decisions, and data treatment at the fundamental level. The final segment of this discourse revisits the critical issue of ensuring the credibility of research findings. The objective of this working paper's discussion is to serve as a source of inspiration for students and researchers considering the adoption of qualitative methods in their research endeavors or who are currently utilizing them. It is intended to equip them with a robust understanding of these pertinent aspects, enabling them to leverage the insights presented here for the successful execution of their research projects.