Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12294/1672

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Expectation Gaps in Internal Auditing: an Examination of the Perspectives of External and Internal Auditors
(Springer Nature, 2026) Sarisoy, Ö.; Uğurlu, Y.A.
This research explores the expectation gaps in internal auditing by examining the perspectives of both internal and independent auditors. While audit expectation gaps have traditionally been discussed in the context of external auditing, similar issues arise within internal audit practices, particularly due to differences in stakeholder expectations and the actual scope of audit responsibilities. Utilizing a qualitative research methodology through in-depth interviews with auditors, the study identifies discrepancies in expectations regarding internal audit’s role in transparency, institutionalization, risk management, independence, and report objectivity. Findings reveal that while internal auditors generally express confidence in their compliance with ethical and regulatory standards, independent auditors are more skeptical, especially concerning independence and practical impact. The research concludes that reducing the expectation gap requires not only regulatory improvements and performance enhancements but also managing unrealistic stakeholder expectations through education and transparent communication. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
AGFP: a Deep Attention-Guided Framework for DWT-Based Image Steganography
(John Wiley and Sons Inc, 2026) Çevik, T.; Çevik, N.; Pasaoglu, A.; Şahin, F.; Anka, F.; Ag, M.S.
This study introduces a novel attention-guided Discrete Wavelet Transform (DWT)-based steganography framework, named Attention-Guided Feature Perturbation (AGFP), which integrates deep visual attention maps with transform-domain embedding to enhance imperceptibility, robustness, and steganalysis resistance. Unlike recent deep-learning-based steganographic systems such as iSCMIS, JARS-Net, and RMSteg, which achieve high visual fidelity but are susceptible to statistical detection, AGFP perturbs only those wavelet coefficients that are identified as perceptually and statistically stable by attention mechanisms extracted from pre-trained CNN models (VGG19, ResNet50, AlexNet, and GoogLeNet). The proposed method is evaluated on the USC-SIPI dataset and the BOSSBase 1.01 benchmark. Experimental results show that AGFP achieves PSNR values between 64.29 and 55.43 dB and SSIM scores between 0.9999 and 0.9989 across varying payloads, indicating consistently high visual quality. While iSCMIS reports slightly higher PSNR and SSIM values, AGFP significantly outperforms all compared methods in bit error rate (BER)—achieving 0.01–0.12, compared to 0.45–0.47 for iSCMIS, 0.31–0.37 for RMSteg, and 0.57–0.75 for JARS-Net. Furthermore, AGFP attains the lowest RS, SPA, and SRM steganalysis detection scores among both classical and deep-learning-based systems. These results confirm that AGFP offers a more balanced and secure steganographic solution, combining high imperceptibility with substantially enhanced robustness and detectability resistance, positioning it as a strong alternative to recent deep-learning-based steganographic frameworks. © 2026 The Author(s). IET Image Processing published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Numerical Investigation of the Seismic Response of Historic Masonry Retaining Walls
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Öztürk, M.; Ay, Y.B.
Masonry retaining walls constitute an essential component of historic and urban infrastructure in seismic regions; however, their seismic performance remains insufficiently quantified due to material heterogeneity, limited tensile capacity, and complex soil–structure interaction. This study investigates the seismic response of historic stone masonry retaining walls using a finite element-based anisotropic macro-modeling approach. The analysis focuses on the perimeter retaining walls of Emirgan Grove in Istanbul, which represent culturally significant heritage structures constructed from natural limestone and cement–lime mortar. Material properties were defined based on experimental test results and representative values reported in the literature, while composite anisotropic behavior was incorporated into the numerical models. Static loads, earth pressures, and seismic actions were applied in accordance with the Turkish Building Earthquake Code (TBEC-2018) using the equivalent static earthquake load method. Representative wall segments with heights of 2.5 m, 3.5 m, 4.0 m, and 6.30 m were analyzed. The numerical results show that maximum compressive stresses reached approximately 0.48 MPa, remaining well below the allowable limit of 4.50 MPa, while maximum tensile stresses of about 0.28 MPa did not exceed the allowable tensile limit of 1.00 MPa. In contrast, shear stresses locally reached approximately 0.25 MPa, exceeding the allowable shear limit of 0.10 MPa, particularly along the soil–wall interface in taller walls. Sliding stability was satisfied in all cases, whereas overturning and shear behavior governed seismic vulnerability. These findings confirm that wall height is the primary parameter controlling seismic response and demonstrate the effectiveness of the proposed framework for preservation-oriented seismic safety assessment of historic masonry retaining walls. © 2026 by the authors.
Betulinic Acid Isolated From Betula Platyphylla Induces Apoptosis and Reduces the mTOR/PI3K Signaling Pathway in Endometrial Cancer Cells
(2026) Akçal, Gözde Korkusuz; Oy, C.; Seçme, M.; Yurtseven, D.G.; Serter Kocoglu, S.S.
Endometrial cancer is one of the most common gynecological cancers worldwide, and an average of 42,000 women die each year. Chemotherapy, radiotherapy, and surgery are among the treatments available for endometrial cancer. Currently, drugs used for chemotherapy have had limited success in increasing the cure rate. Betulinic acid, a lupane-type triterpene widely found in the plant kingdom, has attracted attention for cancer treatment in recent years due to its ability to inhibit tumor growth and induce cell apoptosis. The aim of this study is to investigate the mTOR pathway-mediated anticancer effects of betulinic acid in human endometrial cancer cells. The effect of betulinic acid on Ishikawa cell viability was determined by the CCK-8 method. Its effect on the expression of genes involved in apoptosis and the mTOR pathway was assessed by real-time PCR. The effect on protein expression in the mTOR pathway was evaluated with immunohistochemistry and western blot, and the effects on apoptosis via Annexin V. Betulinic acid reduced Ishikawa endometrial cancer cell proliferation. Betulinic acid administration caused a significant decrease in Bcl2 (p=0.008) expression and increased caspase-8 (p=0.001) expression in Ishikawa cells. The results of Annexin V supported the idea that betulinic acid administration triggered apoptosis in Ishikawa cells. The mean rate of apoptotic cells in the betulinic acid group was 22±3.23%, while it was 2.31±0.2% in the control group (p=0.02). Betulinic acid caused a significant decrease in the expression of AKT1 (p=0.0001) and a significant increase in the expression of RAPTOR (p=0.00002). Betulinic acid administration also significantly decreased protein expression in the mTOR pathway. The percentage of p-PI3K, p-AKT, and p-mTOR-positive cells in Ishikawa cells was 89.39±5.19%, 74.84%±5.07, and 82.02%±6.14, respectively, in the control group. In the betulinic acid group, these values were 49.12±19.12% (p=0.002), 44.46±7.39% (p<0.001), and 53.70±8.94% (p<0.001), respectively. This study showed that betulinic acid decreased Ishikawa cell proliferation, triggered apoptosis, and decreased mTOR signaling; thus, betulinic acid may be a potential anticancer agent for the treatment of endometrial cancer. ©The Author(s) 2025. Open Access. This article is licensed under a Creative Commons CC-BY International License.
The Effects of Ag and Mn Co-Doping on the Bioactivity, Biocompatibility and Antibacterial Performance of Sol-Gel Derived Bioactive Glasses
(Elsevier B.V., 2026) Keleş, G.; Özarslan, A.C.; Özel, C.; Turhan Kara, İ.; Kuçak, M.; Yucel, S.
In this study, silver (Ag) and manganese (Mn) doped bioactive glasses (BGs) based on the SiO2-Na2O-CaO-P2O5 system were synthesized via the sol-gel method. The chemical compositions of the synthesized BGs were confirmed by X-ray fluorescence (XRF) analysis. In vitro bioactivity was assessed by immersing the samples in simulated body fluid (SBF) for determined periods. Surface reactivity and apatite-forming ability were investigated using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray diffraction (XRD). The formation of a crystalline hydroxyapatite (HA) on the glass surfaces confirmed the bioactive behavior of both undoped and metal-doped BGs. Ion release profiles obtained by inductively coupled plasma-optical emission spectroscopy (ICP-OES) further supported these findings. Antibacterial activity tests revealed that Ag and Mn doped BGs exhibited enhanced antibacterial efficacy against Escherichia coli (E. coli), indicating a synergistic effect between Ag and Mn, whereas Ag-doped BGs demonstrated superior antibacterial performance against Staphylococcus aureus (S. aureus) and Pseudomonas aeruginosa (P. aeruginosa). In vitro cell viability assays showed that all synthesized BGs maintained cell viability levels above 70 %, confirming their cytocompatibility. Overall, the results suggest that Ag and Mn doped BGs combine bioactivity, cytocompatibility, and antibacterial performance, highlighting their potential as multifunctional graft materials for bone tissue engineering application. © 2026 Elsevier B.V.
DTW-Based Anomaly Detection and Fault Categorization in Rotating Machinery Using Multi-Modal Sensor Data
(Institute of Electrical and Electronics Engineers Inc., 2025) Yaǧcioǧlu, M.; Ovacıklı, A.K.
In industrial rotating machinery, early detection and classification of mechanical faults are critical for ensuring operational safety and minimizing unplanned downtime. This study presents a data-driven condition monitoring framework utilizing multi-modal sensor data to detect rotor imbalance and infer likely fault categories in a radial fan system. The proposed approach leverages Dynamic Time Warping (DTW) to quantify the deviation of current operating conditions from a healthy baseline, using a MinMax-scaled DTW distance to generate an interpretable anomaly score ranging from 0 to 100. By mapping score intervals to standardized fault categories, the system not only detects anomalies but also provides fault interpretability grounded in vibration analysis theory. Experimental validation is conducted on a dataset containing a known imbalance fault, and the results demonstrate that the proposed method accurately identifies the fault type while showing strong temporal alignment with existing fault metrics. The integration of unsupervised anomaly score estimation with fault severity classification charts offers a practical and scalable solution for predictive maintenance in real-world industrial settings. © 2025 IEEE.
Missed Nursing Care in Cancer Units and Its Relationship With Cancer Nurses' Compassion Fatigue, Burnout, and Compassion Satisfaction: A Correlational Descriptive Study
(Elsevier Inc., 2025) Sarıbudak, T.P.; Yalçin, B.
Objectives: Cancer nurses face heavy workloads and emotional strain, making missed nursing care (MNC)—the omission or delay of necessary care—a growing concern, particularly in oncology settings in which patient vulnerability is high. While professional quality of life (ProQOL), including compassion fatigue (CF), burnout (BO), and compassion satisfaction (CS), is known to affect care quality, its link to MNC in cancer units remains underexplored.This study aimed to examine the extent of missed nursing care in cancer clinics, as well as how CF, BO, and CS influence MNC. Methods: A cross-sectional study was conducted with 147 nurses working in inpatient and outpatient oncology units in Türkiye. Data were collected via an online survey using the Professional Quality of Life Scale (ProQOL IV) and the Missed Nursing Care Survey. Analyses included descriptive statistics, nonparametric tests, correlation, and multiple linear regression. Results: Nurses reported moderate-to-high CF and BO, and low-to-moderate CS. The most frequently missed care practice was emotional support for patients and their families. Key reasons for MNC included staffing shortages and limited resources. No significant relationship was found between CF or BO and MNC. However, lower CS was significantly associated with higher MNC. Regression analysis showed that working in public hospitals and low perceived social support significantly predicted MNC. Conclusions: Missed nursing care is influenced by low CS, inadequate support, and challenging work environments, particularly in public hospitals. Implications for Nursing Practice: Enhancing compassion satisfaction and institutional support may reduce missed care and improve cancer care quality. © 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Pragmatic Solutions to Reduce the Global Burden of Stroke: a World Stroke Organization–lancet Neurology Commission
(Elsevier Ltd, 2023) Feigin, V.L.; Owolabi, M.O.; Norrving, B.; Brainin, M.; Martins, S.; Pandian, J.; Dichgans, M.
The Role of Social Media Strategies in Competitive Banking Operations Worldwide
(IGI Global, 2015) Taskiran, N.O.; Yilmaz, R.; Bolat, N.
Social media has rapidly taken its place among the important phenomenons of today. It has an important role in institutionalization and companies' financial effectivness in many fields. This chapter discusses concept, development of social media, investigations about social media in different continents, its relation with institutionalization, and its role in the banking sector in the process of globalisation. In this study, social media strategies of a global bank on different continents are empirically analysed. Obtained data sheds light on the relationship between the social and economic capital in today's world in an interdisciplinary platform. © 2016, IGI Global. All rights reserved.
Detection and Conditioning of EMG
(IGI Global, 2014) Göker, I.
In this chapter, the monitoring of the electrical activity of skeletal muscles is depicted. The main components of the detection and conditioning of the EMG signals is explained in the sense of the biomedical instrumentation. But, first, a brief description of EMG generation is introduced. The hardware components of the general instrumentation system used in the acquisition of EMG signal such as amplifier, filters, analog-to-digital converter are discussed in detail. Subsequently, different types of electrodes used in different EMG techniques are mentioned. Then, various EMG signals that can be detected and monitored via EMG systems are described and their clinical importance is discussed with detail. Finally, different EMG techniques used in clinical studies and their purposes are explained with detail. © 2014 by IGI Global. All rights reserved.
Others of the Other: Examining Migrant Children's Delinquency Through the Exclusion-Support Matrix
(Pergamon-Elsevier Science Ltd, 2026) Unal, Beyza; Kocanci, Mustafa; Aksoy, Beyhan; Dorukoz, Kardelen Devrim; Uslu, Berk; Namal, Mete Kaan
This study aims to analyze migrant children's delinquency by examining their pathways into offending within a structural and multi-level framework. Based on a qualitative research design, data were collected through indepth interviews with 15 professionals from NGOs working directly with migrant children in T & uuml;rkiye. Thematic analysis revealed that intersecting factors such as discrimination, poverty, exclusion from education, peer influence, and limited access to services play a significant role in shaping children's pathways to crime. The findings are interpreted through theoretical lenses, including labelling theory, strain theory, attachment theory, and the social exclusion approach, emphasizing that children's involvement in crime stems not only from individual factors but also from structural vulnerabilities. As an original contribution, the study introduces the "Exclusion-Support Matrix," a conceptual tool that categorizes children's vulnerability levels across nine typologies, providing a strategic framework for targeted interventions. The matrix offers a grounded, ethically informed, and practice-based understanding of migrant children's criminalization processes. It underscores the need for rights-based, intersectional, and holistic policy frameworks capable of reshaping child protection and integration strategies. Moreover, by revealing how children move dynamically between different levels of risk, the matrix highlights the importance of differentiated, theory-informed, and context-sensitive responses. The findings provide practical guidance for service providers and policymakers seeking to design inclusive, prevention-oriented strategies for migrant children, while the Exclusion-Support Matrix serves as a transferable framework for informing child protection and social inclusion policies.
Mindfulness-Based Self-Compassion and Vagal Nerve Stimulation Impact on Heart Rate Variability, Psychological Resilience, and Sleep Quality in Earthquake Survivors
(Routledge Journals, Taylor & Francis Ltd, 2026) Tonkus, Merve Bat; Dundar, Sule Okur; Dikici, Arzu; Alagoz, Ece; Caliskan, Behice Belkis
Earthquakes pose significant risks to both psychological and physiological health by disrupting autonomic regulation and increasing stress-related disorders. This study aims to evaluate the combined effects of Mindful Self-Compassion (MSC) and vagus nerve stimulation (VNS) on sleep quality, psychological resilience, and heart rate variability (HRV) in survivors of the February 2023 Turkey-Syria earthquakes. A randomized experimental study was conducted with 26 earthquake survivors, assigned to either a combined MSC+VNS group or a VNS-only group. The intervention lasted three weeks. Pre- and post-intervention assessments included the Pittsburgh Sleep Quality Index (PSQI), the Psychological Resilience Scale, and HRV parameters (RMSSD, pNN50, LF/HF ratio). Both groups showed improvement in sleep quality and resilience, with the MSC+VNS group demonstrating greater gains. Significant improvement was observed in LF/HF ratios in both groups, indicating enhanced autonomic balance. However, changes in RMSSD and pNN50 were not statistically significant. While VNS supports stress reduction, combining it with MSC yields stronger psychological and physiological benefits. These findings suggest that integrative approaches may be particularly effective in post-disaster recovery. Future studies with larger and more diverse samples are recommended to validate and expand on these results.
Free Vibration Characteristics of Triple-Walled Viscoelastic Nanotubes Using the Stress-Driven Model
(Springer Wien, 2026) Kadioglu, Hayrullah Gun; Yayli, Mustafa Ozgur
In this study, a comprehensive analytical model has been developed to investigate the free vibration behavior of triple-walled viscoelastic nanotubes. The model has been constructed by adapting the equations of motion derived based on the stress-driven approach to the triple-walled beam form and incorporating viscoelastic effects using the Kelvin-Voigt model. A Navier-type solution method has been used to solve the problem, and the results obtained from the analyses have been presented in tables and graphs for detailed evaluation. Thus, it has been observed that the system approaches the single-walled beam behavior with the increase in bond forces, that the increase in the scale parameter raises the natural frequencies, and that viscoelastic damping significantly shapes the dynamic response. Furthermore, the interactions between these parameters have been discussed. In conclusion, this study provides an important contribution to understanding the dynamic behavior of multi-walled nanotubes.
The Relationship Between Sustainable Earthquake Awareness and Coping Strategies for Earthquake Stress Among University Students: A Cross-Sectional Study
(Cambridge University Press, 2026) Gursoy, Zehra; Solmaz, Yasemin Cavus; Aksoy, Omer; Korfeci, Yusuf
Objective This study explores the relationship between sustainable earthquake awareness and earthquake stress coping strategies among university students following the February 6, 2023, earthquake.Methods A descriptive, cross-sectional study was conducted between March and April 2024, involving 239 university students. Following the STROBE checklist, data were collected using the Personal Information Form, Earthquake Stress Coping Scale (ESCS), and Sustainable Earthquake Awareness Scale (SEAS). Ethics approval was obtained, and data were gathered through face-to-face surveys.Results The average participant age was 21 years; 67.8% were women, and 20% had direct earthquake experience. Among participants, 67.4% reported negative academic impacts due to the earthquake. Higher SEAS scores were associated with higher income, prior earthquake experiences, having an emergency kit, securing belongings, and participation in earthquake training and drills. Higher ESCS social support-seeking scores correlated with higher income, earthquake preparedness training, drill participation, awareness of emergency meeting areas, and enrollment in the child development department.Conclusion The findings highlight gaps in earthquake preparedness among university students while emphasizing the role of personal earthquake experiences in fostering awareness and adaptive coping strategies. Enhancing earthquake preparedness training could improve resilience among students in earthquake-prone regions.
The Role of Trust and Happiness in the Relationship Between Organizational Ostracism and Turnover Intentions Among Healthcare Professionals: A Serial Mediation Model
(BMC, 2026) Kopuz, Koray; Ozisli, Omer; Ekmen, Eymen; Kocak, Orhan
Background Organizational ostracism is an important yet often overlooked factor affecting healthcare professionals' well-being and retention. Guided by Social Exchange Theory and Affective Events Theory, this study examines how negative workplace interactions, such as ostracism, trigger interconnected cognitive (organizational trust) and affective (happiness at work) processes that shape turnover intention. The research focuses on understanding the link between organizational ostracism and turnover intention, emphasizing the sequential mediating roles of organizational trust (cognitive) and happiness at work (affective). Methods This cross-sectional study surveyed 403 healthcare professionals working in four large public hospitals in T & uuml;rkiye, recruited through convenience sampling. Data were collected online using SurveyMonkey and analyzed with SPSS version 23 and AMOS version 23. Descriptive statistics, confirmatory factor analysis (CFA), and path analysis were performed, and mediation effects were tested using bias-corrected bootstrapping with 5,000 resamples and 95% confidence intervals (CIs). Results Organizational ostracism was positively associated with turnover intention. When organizational trust and happiness at work were added as mediators, the direct link between organizational ostracism and turnover intention became non-significant, indicating a full mediation model. Organizational ostracism negatively influenced organizational trust and happiness at work, and both variables played significant roles in explaining turnover intention. Consistent with the cognitive-affective framework, sequential mediation analysis showed that reduced organizational trust contributed to lower happiness at work, further amplifying turnover intention. Conclusions Organizational trust and happiness at work are critical mechanisms linking organizational ostracism to turnover intention. Addressing ostracism and fostering supportive, trust-based work environments can help reduce turnover risk and strengthen healthcare teams. These findings provide actionable guidance for healthcare leaders and emphasize the importance of addressing workplace exclusion to enhance workforce stability and team effectiveness.
Inequalities for Analytic Functions Associated with Hyperbolic Cosine Function
(Karaganda State Univ, 2025) Azeroglu, T.; Ornek, B. N.; Duzenli, T.
In this paper, we investigate the geometric properties of a specific subclass of analytic functions satisfying the condition f'(z) < cosh(./z) meaning that the function f'(z) is subordinate to the function cosh(./z). Also, we focus on deriving sharp inequalities for Taylor coefficients, particularly for b2 and the modulus of the second derivative f''(z). Utilizing the Schwarz lemma, both on the unit disc and on its boundary, we provide essential insights into the distortion and growth behaviors of these functions. The paper demonstrates the sharpness of these inequalities through extremal functions and applies the Julia-Wolff lemma to establish boundary behavior results. These findings contribute significantly to the understanding of the analytic functions associated with the hyperbolic cosine function, with potential applications in geometric function theory. It is considered that the extremal functions obtained in this study could be potential hyperbolic activation functions in neural network architectures. This perspective builds a conceptual bridge between geometric function theory and artificial intelligence, indicating that insights from complex analysis can inspire the development of more effective and theoretically grounded activation mechanisms in deep learning. Empirical evaluation of architectures built with novel activation functions may be considered as potential future work.
Suicide Risk and Influencing Factors Among Cancer Patients: A Mixed-Methods Study
(Elsevier Sci Ltd, 2026) Saribudak, Tugba Pehlivan; Ustun, Besti; Cihan, Servet; Yildirim, Berna
Purpose: Suicide probability is higher in cancer patients than in the general population, yet evidence remains limited, especially in T & uuml;rkiye. This study examined suicide risk and influencing factors using a mixed-methods approach for a comprehensive understanding. Methods: This sequential explanatory mixed-methods design was conducted between October 2024-August 2025. 383 patients receiving chemotherapy for breast, lung, or colon cancer at a city hospital in I(center dot)stanbul participated. Quantitative data were collected using a Personal Information Form and the Suicide Probability Scale, and analyzed using multistage linear regression. For the qualitative phase, patients with the highest and lowest scores were purposively sampled, and data were analyzed using Colaizzi's method. Results: The mean Suicide Probability Scale score was 63.13. Regression analysis identified lower social support, longer cancer duration, lack of health insurance, and psychiatric comorbidities as predictors of higher risk. Qualitative analysis yielded five themes. The dominant themes-'Traces of the Disease' and 'Risk and Protective Factors'-showed how cancer's physical, psychological, and social consequences, together with individual risk and protective mechanisms, shaped patients' suicidal thoughts, behavior, overall distress, and resilience levels. Conclusions: Suicide risk in cancer patients is multidimensional and individualized, shaped by social, clinical, and psychological factors. Holistic support addressing both risk and protective factors is critical. Oncology nurses are pivotal in early risk detection and psychosocial support. Empathetic, patient-centered care, reinforcing protective factors, and integrating structured psychological interventions enhance resilience, reduce suicide risk, and improve quality of life. System-level measures, including accessible psychological services and social support, are also essential.
Preface
(Springer International Publishing, 2023) Şahin, O.N.; Briana, D.D.; Di Renzo, G.C.D.
[No abstract available]
Breast Milk Proteases
(Springer International Publishing, 2023) Şahin, O.N.; Briana, D.D.
The proteins contained in milk carry out a broad array of complicated biological functions. Some proteins in milk have one function in their intact form, whilst also containing a sequence of latent function that becomes active following splitting of the main peptide chain. This bioactivity may involve attacking harmful microbes in the gut as well as regulating the infant's immune response. Thus, they may confer an evolutionary advantage. Current evidence suggests that this unmasking of latent bioactivity actually begins even, whilst milk is still within the breast. A range of proteolytic enzymes (proteases) in milk act on proteins in the milk to produce these bioactive peptide sequences. Furthermore, these same enzymes retain their functionality in the infant's intestine, potentially performing a more important catalytic function than even the proteases secreted by the infant's developing gut. This may reflect the fact that newborn infants are somewhat inefficient in digesting milk unless assisted by the proteases present in milk. The bioactive sequences latent in certain milk protein precursors are released through a series of steps involving both milk-derived proteases and proteases secreted by the infant gut. One of the aims of research is to understand how this release of latent bioactivity orchestrated through protease activity contributes to an evolutionary advantage for the mother and child [1, 2]. © Springer Nature Switzerland AG 2023. All rights reserved.
Citation - WoS: 34
Citation - Scopus: 49
Study of D+ → K-π+e+νe
(American Physical Society, 2016) Kolcu, Onur Buğra; The BESIII collaboration
We present an analysis of the decay D+ -> K-pi(+)e(+)nu(e) based on data collected by the BESIII experiment at the psi(3770) resonance. Using a nearly background-free sample of 18262 events, we measure the branching fraction B(D+ -> K-pi+e+nu e) = (3.77 +/- 0.03 +/- 0.08)%. For 0.8 < m(K pi) < 1.0 GeV/c(2), the partial branching fraction is B(D+ -> K-pi+e+nu e)([0.8,1.0]) = (3.39 +/- 0.03 +/- 0.08)%. A partial wave analysis shows that the dominant (K) over bar* (892)degrees component is accompanied by an S-wave contribution accounting for (6.05 +/- 0.22 +/- 0.18)% of the total rate and that other components are negligible. The parameters of the (K) over bar* (892)degrees resonance and of the form factors based on the spectroscopic pole dominance predictions are also measured. We also present a measurement of the (K) over bar* (892)degrees helicity basis form factors in a model-independent way.

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