WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/4465

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Investigating the Role of the GTP-Cap in the Regulation of Microtubule Dynamics in Mammalian Cells
(Amer Soc Cell Biology, 2024) Cassidy, A.; Farmer, V.; Arpag, G.; Zanic, M.
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The Impact of Financial Well-Being on Subjective Happiness, Innovativeness, and Personal Growth
(Inderscience Enterprises Ltd, 2025) Tosun, Petek; Dogan, Mesut; Koyluoglu, A. Selcuk
This study examines the impact of the perceived personal financial condition (financial well-being, economic hardship, income change, and financial threat) on subjective happiness and depression and the influence of subjective happiness and depression on personal growth initiative and consumer innovativeness. The theoretical model that depended on the broadenand-build theory of positive emotions was tested on a consumer sample (n = 755) using hierarchical regression analyses. The findings supported the hypotheses and showed the significant impact of personal financial condition on happiness and depression. Financial well-being positively influences subjective happiness and reduces depression. Subjective happiness and depression lead to increased levels of consumer innovativeness and personal growth initiative. This study contributes to the literature by suggesting and empirically testing a comprehensive theoretical model that demonstrates the significant impact of personal financial condition on happiness and depression and, consequently, consumer innovativeness and personal growth initiative.
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A Real-World Case Study Towards Net Zero: Ev Charger and Heat Pump Integration in End-User Residential Distribution Networks
(Mdpi, 2025) Tun, Thet Paing; Ceylan, Oguzhan; Pisica, Ioana
The electrification of energy systems is essential for carbon reduction and sustainable energy goals. However, current network asset ratings and the poor thermal efficiency of older buildings pose significant challenges. This study evaluates the impact of heat pump and electric vehicle (EV) penetration on a UK residential distribution network, considering the highest coincident electricity demand and worst weather conditions recorded over the past decade. The power flow calculation, based on Python, is performed using the pandapower library, leveraging the actual distribution network structure of the Hillingdon area by incorporating recent smart meter data from a distribution system operator alongside historical weather data from the past decade. Based on the outcome of power flow calculation, the transformer loadings and voltage levels were assessed for existing and projected heat pump and EV adoption rates, in line with national policy targets. Findings highlight that varied consumer density and diverse usage patterns significantly influence upgrade requirements.
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Acculturation Strategies of International Higher Education Students in Türkiye: the Role of Social Support, Cultural Capital, Self-Esteem, General Trust, and General Self-Efficacy
(Springer, 2025) Ergin-Kocaturk, Hatice; Tekel, Esra; Su, Ahmet; Kocaturk, Metin; Karadag, Engin
Understanding the factors influencing acculturation strategies among international students cannot be overstated, as successful adaptation is crucial for academic success and overall well-being. Although extensive research has explored these dynamics in various contexts, a notable gap remains in the literature on international students in T & uuml;rkiye. This study aimed to investigate the effects of social support, cultural and economic capital, self-esteem, general trust, and general self-efficacy on the acculturation strategies of international higher-education students in T & uuml;rkiye. Utilizing data from 3,554 international students, various scales and questionnaires were employed, including the Acculturation Strategies Scale, Cultural Capital Questionnaire, Economic Capital Questionnaire, Self-Esteem Scale, General Confidence Scale, General Self-Efficacy Scale, and Social Support Questionnaire. The collected data were analyzed using correlation and multiple regression analyses. The results revealed significant relationships between the examined factors and acculturation strategies adopted by international students. These findings highlight the crucial roles of social support, cultural capital, and psychological attributes in shaping how international students adapt to new cultural environments. The implications of these results underscore the importance of targeted support programs to enhance international students' acculturation experiences and overall well-being in T & uuml;rkiye's higher education context.
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Examining the Role of Dark and Light Triad Traits on Sociosexuality
(Routledge Journals, Taylor & Francis Ltd, 2025) Urganci, Betul; Sevi, Baris; Dogruyol, Burak; Sakman, Ezgi
Sociosexual orientation-the tendency toward casual sex, is associated with dispositional components of personality such as higher scores of Dark Triad traits (narcissism, Machiavellianism, and psychopathy). Yet, it remains unknown which specific Dark Triad traits and Light Triad traits (Kantianism, Humanism, and Faith in Humanity) predict sociosexuality and its dimensions while controlling for the others. In the current study, using an online community sample (N = 308), we examined the links between Dark Triad traits, Light Triad traits, overall sociosexuality, and sociosexuality dimensions (attitude, behavior, desire). Using hierarchical regression, we found that only psychopathy emerged as the predictor of behavior, desire, attitude dimensions, and sociosexuality total score. This effect held when controlling for age, sex, relationship status, the other two Dark personality traits, and the Light Triad. Results suggest that individuals high on psychopathy have a greater tendency toward uncommitted relationships.
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The Associations Between Deviation From the Balanced Time Perspective and Depression and Anxiety: The Moderator Role of Mindfulness in a Two-Wave Study
(Sage Publications inc, 2025) Altan-Atalay, Ayse; Ranjbar, Hamed Abdollahpour; Altintas, Seda
Deviation from the balanced time perspective (DBTP) refers to difficulties in switching between different time frames in a flexible way by considering the situational demands. DBTP is associated with higher levels of depression and anxiety. Mindfulness acts as a protective mechanism against depression and anxiety. The current study examined the moderator role of mindfulness in the relationship between DBTP and psychological distress. The participants were 243 university students (53.09% women) between ages 18 and 29 (M = 19.88, SD = 1.42) who answered self-report measures of time perspective, mindfulness, anxiety, and depression at two-time points with a five-week time interval. The results showed that the interaction between DBTP and mindfulness measured at time one could prospectively predict both anxiety and depression measured at time two. Mindfulness plays a significant moderating role in the relationship between DBTP and anxiety and depression. The data indicate that for individuals with low levels of DBTP, those with higher mindfulness experience significantly lower anxiety and depression compared to those with lower mindfulness. However, as DBTP increases, anxiety and depression levels in the high mindfulness group rise significantly, ultimately converging with those observed in the low mindfulness group. This indicates that while high mindfulness offers buffering effects against anxiety and depression, these effects diminish under increased DBTP.
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Anti-Veiling Campaigns in Turkey: State, Society and Gender in the Early Republic
(Cambridge Univ Press, 2025) Ustun, Ebrar Begum
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Impact of Culture Shock, Acculturation Approaches, and Sociocultural Adaptation on Perceived Proficiency in Turkish and English Among International Students in Turkey
(Elsevier, 2025) Tekel, Esra; Ergin-Kocaturk, Hatice; Su, Ahmet; Kocaturk, Metin; Caner, Mustafa; Karadag, Engin
The primary objective of this study was to investigate the influence of culture shock, acculturation strategies, and sociocultural adjustment on the perceived Turkish and English language proficiency of international students in Turkey. Data were collected from 3554 international students in Turkey whose native language was neither Turkish nor English, using the "Culture Shock Questionnaire", "Acculturation Measurement", and "Sociocultural Adjustment Scale". Data were analyzed using correlation and hierarchical multiple regression analyses. The results revealed that the perceived Turkish and English language proficiencies of international students in Turkey were moderate. Language proficiency, personal interests, and social participation factors of sociocultural adjustment and acculturation strategies, such as assimilation and integration, have a positive impact on perceived Turkish language proficiency. On the other hand, the interpersonal stress factor of culture shock and assimilation and integration aspects of the acculturation strategies were found to be the most critical determinants of perceived English language proficiency. Additionally, language proficiency, personal interests, and social participation factors of sociocultural adjustment and acculturation strategies, such as separation and assimilation, had positive effects, whereas the language proficiency factor of sociocultural adjustment and assimilation acculturation strategies had negative effects. The findings of this study indicate that acculturation strategies and sociocultural adjustment play a crucial role in the development of perceived target language proficiency.
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Neural Signatures of Depression: Classifying Drug-Naive Mdd Patients With Time- and Frequency-Domain Eeg Features During Emotional Processing
(Iop Publishing Ltd, 2025) Sutcubasi, Bernis; Balli, Tugce; Metin, Baris; Tulay, Emine Elif
Accurate classification of major depressive disorder (MDD) remains a significant challenge, particularly because of the confounding effect of medications. This study bridges this gap by focusing on the classification of drug-na & iuml;ve individuals diagnosed with MDD and healthy controls (HCs) using electroencephalogram (EEG) data recorded during emotional processing tasks. This study involved 14 HCs and 14 drug-na & iuml;ve individuals diagnosed with MDD (aged 18-31, 12+ years of education, 12 F/2 M). The participants were presented with positive, neutral, and negative images collected from the International Affective Picture System. The mean power amplitudes of event-related potentials (ERP), including the P200, P300, early, middle, and late components of the late positive potential (LPP), were computed, along with band power features, and used as features for classifiers. A support vector machine model was employed for classification to evaluate the individual contributions of ERP components and band power features and explore the combined effects of ERP components and band power features within themselves. The alpha band power achieved the highest individual classification accuracy among the band power features for negative stimuli (92.86%). The late LPP component was the most discriminative ERP component for positive stimuli, yielding an accuracy rate of 89.29%. Combined analysis of the band power features exhibited high accuracy for both positive and negative stimuli (92.86% each). When the ERP components were combined, the classifier achieved the highest accuracy of 89.29% for both negative and neutral stimuli. Our findings suggest that alpha band power and LPP responses to negative and positive stimuli, respectively, can be used to detect MDD. The comparable performance of individual features to that of the combined feature sets indicates their strength as indicators of emotional processing in MDD. These findings provide valuable insights into the development of more reliable diagnostic tools and treatment monitoring strategies that focus on emotional processing in MDD.
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Design and Synthesis of Thiosemicarbazides and 1,2,4-Triazoles Derived From Ibuprofen as Potential Metap (Type II) Inhibitors
(Elsevier Ireland Ltd, 2025) Yilmaz, Ozgur; Biliz, Yagmur; Ayan, Sumeyra; Cevik, Ozge; Karahasanoglu, Mufide; Cotuker, Reyhan; Kucukguzel, S. . Guniz
In the present study, a range of novel thiosemicarbazides 4a-i and 1,2,4-triazoles 5a-i derived from ibuprofen, were synthesized. Structural elucidation of these synthesized compounds was performed utilizing a variety of spectroscopic methods, including FTIR, 1H NMR, 13C NMR and HR-MS. The synthesized compounds were tested for cytotoxicity in five different cancer cell lines (cervical cancer (HeLa), human breast cancer (MCF-7), human gastric adenocarcinoma (MKN-45), human metastatic prostate cancer (PC3) and human glioblastoma (U87)). The compounds were compared with healthy cells (NIH-3T3) and the most effective compounds were determined by means of the selectivity index. Thiosemicarbazides derived form ibuprofen 4i and 4d showed anticancer activity, while 1,2,4-triazoles derived form ibuprofen 5b, 5c, 5d, 5e, 5h, 5g showed anticancer activity in HeLa, MCF-7, MKN-45, PC3 and U87 cells. To test the stability of the protein-drug complexes all 18 compounds 4a-i and 5a-i were docked into the active site of the MetAP2 enzyme In general, computational inhibition constants values were correlated with the experimental values. The dynamic behavior of MetAP2-inhibitor complexes was analyzed using all atoms Molecular Dynamic (MD) simulations for 200 ns duration. MD revealed that the drugs bind in the active center of MetAP2 with stable RMSD and RMSF. In conclusion, in-silico results and in-vitro studies suggests that thiosemicarbazides and 1,2,4-triazoles derived from ibuprofen may be novel anticancer drug candidates for treating cervical, breast, prostate, gastric and glioblastoma. Compounds provided induction of apoptotic proteins in the cell by inhibiting MetAP2 enzyme. Furthermore, the potential antioxidant activities of the compounds were evaluated using the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity assay. Among the compounds tested, 4a, 4b, 4e, 4f, 4h, and 4i exhibited values closely resembling the DPPH activity of the standards.
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High-Speed and Area-Efficient Arithmetic and Logic Unit Architecture Using Quantum-Dot Cellular Automata for Digital Signal Processing
(Elsevier, 2025) Zohaib, Muhammad; Navimipour, Nima Jafari; Aydemir, Mehmet Timur; Ahmadpour, Seyed-Sajad
Signal processing has significantly influenced our lives in many domains, including telecommunications, education, healthcare, industry, and security. The efficiency of signal processing heavily relies on the Arithmetic and Logic Unit (ALU), which stands as an essential hardware component. In addition, ALU is a fundamental part of a central processing unit (CPU), leading to fundamental operations inside the processor. However, the growing demand for small, robust hardware systems has led researchers to create nano-electronic technologies under consideration. One of the leading technologies in this field is Quantum-dot cellular automata (QCA), which demonstrates promising value as a possible alternative to complementary metal-oxide-semiconductor (CMOS) designs since it enables compact circuit designs with minimal power consumption. The existing QCA-based ALU designs face limitations in cell count density together with high occupied area and high delay, which reduces their performance for real-time signal processing. This research presents a 1-bit ALU through a QCA-optimized approach for DSP applications. QCADesigner is used to validate and verify all proposed designs. Results show a statistically significant improvement in cell count reduction of 46.84 % and a total occupied area of 64.28 % lower than the most advanced version published to date.
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Does Attention Sharing Support Attention Focusing? Investigating the Link Between Infants' Sustained Attention and Joint Attention With Caregivers
(Elsevier Science inc, 2025) Uzundag, Berna A.
Sustained attention in infancy is a known predictor of executive functions, self-regulation, and language. This study investigated the relationship between 9-to 16-month-old infants' sustained attention and joint attention in mother-infant dyads. Data were collected from 98 infants (M(SD) = 11.8(1.3) months) and their mothers. Results showed that joint attention during mother-infant play significantly predicted sustained attention during solo play, after accounting for infant age and socioeconomic status. These cross-sectional findings suggest that joint attention may play a role in supporting sustained attention, though the directionality of this relationship warrants further longitudinal investigation.
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A Nano-Scale Design of Arithmetic and Logic Unit for Energy-Efficient Signal Processing Devices Based on a Quantum-Based Technology
(Springer, 2025) Jafari Navimipour, Nima; Zohaib, Muhammad; Navimipour, Nima Jafari; Aydemir, Mehmet Timur; Aydemir, Mehmet Timur; Ahmadpour, Seyed-Sajad; Computer Engineering; Electrical-Electronics Engineering
Signal processing had a significant impact on the development of many elements of modern life, including telecommunications, education, healthcare, industry, and security. The semiconductor industry is the primary driver of signal processing innovation, producing ever-more sophisticated electronic devices and circuits in response to global demand. In addition, the central processing unit (CPU) is described as the "brain" of a computer or all electronic devices and signal processing. CPU is a critical electronic device that includes vital components such as memory, multiplier, adder, etc. Also, one of the essential components of the CPU is the arithmetic and logic unit (ALU), which executes the arithmetic and logical operations within all types of CPU operations, such as addition, multiplication, and subtraction. However, delay, occupied areas, and energy consumption are essential parameters in ALU circuits. Since the recent ALU designs experienced problems like high delay, high occupied area, and high energy consumption, implementing electronic circuits based on new technology can significantly boost the performance of entire signal processing devices, including microcontrollers, microprocessors, and printed devices, with high-speed and low occupied space. Quantum dot cellular automata (QCA) is an effective technology for implementing all electronic circuits and signal processing applications to solve these shortcomings. It is a transistor-less nanotechnology being explored as a successor to established technologies like CMOS and VLSI due to its ultra-low power dissipation, high device density, fast operating speed in THz, and reduced circuit complexity. This research proposes a ground-breaking ALU that upgrades electrical devices such as microcontrollers by applying cutting-edge QCA nanotechnology. The primary goal is to offer a novel ALU architecture that fully utilizes the potential of QCA nanotechnology. Using a new and efficient approach, the fundamental gates are skillfully utilized with a coplanar layout based on a single cell not rotated. Furthermore, this work presents an enhanced 1-bit and 2-bit arithmetic logic unit in quantum dot cellular automata. The recommended design includes logic, arithmetic operations, full adder (FA) design, and multiplexers. Using the powerful simulation tools QCADesigner, all proposed designs are evaluated and verified. The simulation outcomes indicates that the suggested ALU has 42.48 and 64.28% improvements concerning cell count and total occupied area in comparison to the best earlier single-layer and multi-layer designs.
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Blockchain-Enabled Healthcare Supply Chain Management: Identification and Analysis of Barriers and Solutions Based on Improved Zero-Sum Hesitant Fuzzy Game Theory
(Pergamon-Elsevier Science Ltd, 2025) Razavian, Seyed Behnam; Görçün, Ömer Faruk; Tirkolaee, Erfan Babaee; Simic, Vladimir; Ali, Sadia Samar; Gorcun, Omer Faruk; Business Administration
Blockchain technology has emerged as a transformative approach in the health sector, enhancing efficiency, transparency, and security in Healthcare Supply Chain Management (HSCM). It addresses critical issues such as data privacy, traceability, and fraud reduction, providing a secure and reliable platform. However, significant barriers to its implementation must be overcome to ensure effective healthcare supply chain operations. This study proposes a two-stage decision-making model for identifying barriers and optimizing blockchain adoption solutions in HSCM under uncertainty. The first stage employs the Hesitant Fuzzy Best-Worst Method (HFBWM) to prioritize barriers. Compared to traditional methods such as Analytic Hierarchy Process (AHP), HFBWM achieves high accuracy with fewer pairwise comparisons. In the second stage, the Improved Zero-Sum Hesitant Fuzzy Game Theory (IZSHFG) model, based on the Weighted Sum Operator (WSO) under Hesitant Fuzzy Sets (HFSs), determines the optimal combination of strategies for blockchain application in HSCM. The challenges are modeled as one player and the solutions as another, with the decision matrix established using WSO under HFS. The obtained results indicate the worst-case scenario involves the simultaneous occurrence of four critical barriers: "Lack of Sufficient Knowledge about Blockchain in HSCM" (0.011217), "Lack of Access to Skilled Technical Personnel" (0.025457), "High Maintenance and Support Costs" (0.056076), and "Security Risks of Patients' Data" (0.069367). These findings highlight the need for targeted strategies to address these barriers, ensuring blockchain's successful integration into HSCM.
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Colonialism in Sub-Saharan Africa, Access To Finance, and Firm Growth
(Elsevier, 2025) Ngalim, Lawrence; Togan, Asli
Whether adequate access to external finance matters for firm-growth remains an unsettled debate in the finance literature, mainly because of endogeneity concerns. In this paper, we approach these concerns with two instruments constructed from colonial history that plausibly explain the current variations in financial development across sub-Saharan African (SSA) economies. We conjecture that these instruments-- the firm's distance from a colonial railway station and whether it is located in an area that had colonial settlements-provide potential channels of impact that identify the present-day effects of access to finance on firm-growth across SSA. By using these instruments, empirical results underscore the primacy of access to finance in firmgrowth and consistently suggest that firms with access to finance are more likely to experience higher revenue growth and asset growth. Overall, our results are consistent and robust to alternative specifications and highlight the importance of access to finance for firms. Our findings provide policy implications on the development of the banking sector as well as private sector development.
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The Relationship Between Perfectionism and Stress Generation: the Moderating Role of Looming Cognitive Style
(Springer, 2025) Abdulcebbar, Amal; Altan-Atalay, Ayse
The stress generation hypothesis suggests that certain maladaptive personality traits significantly contribute to the generation of negative life events (NLEs) in people's lives through inherent maladaptive mechanisms. Previous research indicated that the impact of stress generating risk factors might be augmented or weakened by other transdiagnostic risk factors such as the looming cognitive style (LCS) which includes physical and social looming that have been found to predict different domains of life stressors. Therefore, the present study aimed to examine the moderating roles of the dimensions of the LCS separately, in the relationship between perfectionism (i.e., socially prescribed perfectionism) and stress generation in a group of emerging adults. One-hundred and ninety nine (134 females) undergraduate students aged 18-25 (M = 20.23, SD = 1.56) completed an online questionnaire that measured their level of perfectionism, LCS, and NLEs twice over a six-week interval. The results showed that only social looming significantly moderated the relationship between socially prescribed perfectionism (SPP) and interpersonal NLEs at time 2. These findings show the augmenting impact of social looming on the stress generating effect of elevated SPP, highlighting the importance of examining co-occuring vulnerabilities rather than single risk factors in the stress generation process.
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A New Quantum-Enhanced Approach To Ai-Driven Medical Imaging System (Vol 28 , 213 , 2024)
(Springer, 2025) Jafari Navimipour, Nima; Avval, Danial Bakhshayeshi; Darbandi, Mehdi; Navimipour, Nima Jafari; Ul Ain, Noor; Kassa, Sankit; Computer Engineering
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The Effect of Educational Leadership on Students' Achievement: a Cross-Cultural Meta-Analysis Research on Studies Between 2006 and 2024
(Sage Publications Ltd, 2025) Karadag, Engin; Sertel, Gulsum
This meta-analysis combined various leadership approaches to examine the relationship between educational leadership and student achievement. The literature review encompassed 348 independent research articles/dissertations, with a sample group of 3,659,268 study subjects. Analyses conducted using a random-effects model revealed that educational leadership had a medium-level effect on student achievement. The impact of educational leadership on student achievement was found to be more substantial in collectivist cultures (e.g. Asia) than in individualistic cultures (e.g. the USA). Among the leadership theories, instructional leadership and leadership practices demonstrated the most significant effects. The influence of educational leadership on student achievement varies according to geographical continent, national cultural background, school level, and academic achievement. As anticipated, the impact of educational leadership practices on student achievement diminished over time during exceptional circumstances such as the COVID-19 pandemic. Given the observed effect of educational leadership on student achievement, future research should investigate the influence of leadership on other school components and stakeholders.
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A New Nano-Scale Authentication Architecture for Improving the Security of Human-Computer Interaction Systems Based on Quantum Computing
(Springer, 2025) Ahmadpour, S.-S.; Jafari Navimipour, Nima; Zohaib, M.; Navimipour, N.J.; Misra, N.K.; Rasmi, H.; Salahov, H.; Hosseinzadeh, M.; Computer Engineering
Human-Computer Interaction (HCI) is an interdisciplinary area of study focusing on the interaction of users and computers by scheming interactive computer interfaces. In addition, HCI systems need security to confirm user authentication, which is a crucial issue in these systems. Hence, user authentication is vital, allowing only authorized users to access data. Authentication is critical to the digital world since it provides security and safety for digital data. Moreover, a digital signature is an authentication method to confirm the accuracy and reliability of digital documents or communications. In addition, designing the circuit based on the complementary metal-oxide semiconductor (CMOS) technology can affect the security and safety of digital data due to the excessive heat dissipation of circuits. On the other hand, quantum-dot cellular automata (QCA) and reversible logic as alternative technologies to CMOS address these problems. Since QCA and reversible logic circuits have minimal energy dissipation, which is considered nearly zero, approaching these technologies proves extremely difficult for any hacker. This work presents an effective structure for the authenticator and human-computer interaction using QCA and IBM quantum computing with Qiskit simulations. The proposed structure has outperformed current circuits in terms of area, cell count, and latency. The paper demonstrates the QCA reversible logic layout of the proposed HCI authenticator and integrates IBM quantum computing simulations using Qiskit for validation. The implementation and testing of results are performed utilizing QCADesigner-2.0.3 and Qiskit simulation tools. The accuracy and efficiency of the proposed design are validated through simulation-derived comparison values, and energy dissipation simulations prove that the suggested circuit dissipates minimal energy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
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Miniaturized Soft Growing Robots for Minimally Invasive Surgeries: Challenges and Opportunities
(Iop Publishing Ltd, 2025) Stroppa, Fabıo; Saraç Stroppa, Mine; Sarac, Mine; Mechatronics Engineering; Computer Engineering
Advancements in assistive robots have significantly transformed healthcare procedures in recent years. Clinical continuum robots have enhanced minimally invasive surgeries, offering benefits to patients such as reduced blood loss and a short recovery time. However, controlling these devices is difficult due to their limited accuracy in three-dimensional deflections and challenging localization, particularly in confined spaces like human internal organs. Consequently, there has been growing research interest in employing miniaturized soft growing robots, a promising alternative that provides enhanced flexibility and maneuverability. In this work, we extensively investigated issues concerning their designs and interactions with humans in clinical contexts. We took insights from the open challenges of the generic soft growing robots to examine implications for miniaturization, actuation, and biocompatibility. We proposed technological concepts and provided detailed discussions on leveraging existing technologies, such as smart sensors, haptic feedback, and artificial intelligence, to ensure the safe and efficient deployment of the robots. Finally, we offer an array of opinions from a biomedical engineering perspective that contributes to advancing research in this domain for future research to transition from conceptualization to practical clinical application of miniature soft growing robots.

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