CHAPTER 12 — Management and GovernanceDOI Linked to Final Edition Preprint DOI:  https://doi.org/10.22541/au.173679847.79164500/v1 Status: Archived pre-publication draft (2024) — Superseded

CHAPTER 11 — Analytics and Machine LearningPreprint DOI: https://doi.org/10.22541/au.173679847.75192569/v1 Status: Archived pre-publication draft (2024) — SupersededLeocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications.ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition.This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use:• Cite this DOI as the preprint record, or• Cite the published book for the authoritative edition.

CHAPTER 10 — Applications for BusinessPreprint DOI: https://doi.org/10.22541/au.173679847.70922546/v1 Status: Archived pre-publication draft (2024) — SupersededLeocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications.ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition.This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use:• Cite this DOI as the preprint record, or• Cite the published book for the authoritative edition.

CHAPTER 09 — End User, Front End and MobilePreprint DOI: https://doi.org/10.22541/au.173679846.64445736/v1 Status: Archived pre-publication draft (2024) — Superseded(Leocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications.ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition.This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use:• Cite this DOI as the preprint record, or• Cite the published book for the authoritative edition.

CHAPTER 08 — Developer Tools & DevOps (Part 2)Preprint DOI: https://doi.org/10.22541/au.173679846.60274144/v1 Status: Archived pre-publication draft (2024) — SupersededThis chapter is an early developmental version later finalized and published as part of:Leocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications. ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition. This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use: • Cite this DOI as the preprint record, or • Cite the published book for the authoritative editio

CHAPTER 07 — Developer Tools & DevOps (Part 1)Preprint DOI: https://doi.org/10.22541/au.173679845.56069145/v2 Status: Archived pre-publication draft (2024) — Superseded

CHAPTER 06 — DatabasePreprint DOI: https://doi.org/10.22541/au.173679844.46985684/v1 Status: Archived pre-publication draft (2024) — Superseded

CHAPTER 05 — Security, Identity and CompliancePreprint DOI: https://doi.org/10.22541/au.173679844.43942646/v1 Status: Archived pre-publication draft (2024) — Superseded

CHAPTER 04 — Content Delivery NetworkPreprint DOI: https://doi.org/10.22541/au.173679844.41369387/v1 Status: Archived pre-publication draft (2024) — Superseded

CHAPTER 03 — StorageVersion Information — Archived Preprint (2024) / DOI Linked to Final Edition Preprint  DOI: https://doi.org/10.22541/au.173679843.38529245/v1Status: Archived pre-publication draft (2024) — Superseded

Preprint DOI: https://doi.org/10.22541/au.173679843.35260782/v1 Status: Archived pre-publication draft (2024) — SupersededThis chapter is an early developmental version later finalized and published as part of:Leocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications. ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition. This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use: • Cite this DOI as the preprint record, or • Cite the published book for the authoritative edition.

Preprint DOI: https://doi.org/10.22541/au.173679843.32142784/v1 Status: Archived pre-publication draft (2024) — SupersededThis chapter is an early developmental version later finalized and published as part of:Leocadio, Paulo H. (2025). Mastering AWS Cloud. BPB Publications. ISBN: 9789365890617 (Released October 28, 2025).A significantly updated, expanded, and editorially refined version appears in the published edition. This preprint is preserved for scholarly transparency, version tracking, and citation continuity.For academic use: • Cite this DOI as the preprint record, or • Cite the published book for the authoritative edition.

 My beloved wife:   Lucy

This study proposes a novel angle-based partition design method to optimize the collector system of offshore wind farms. It highlights the importance of improving the reliability of the collector system while reducing overall costs. By integrating the minimum spanning tree algorithm with angle-based partition theory, this method minimizes subsea cable lengths and reduces failure risks under constraints such as the number of feeders, subsea cable current capacity, balanced feeder power, and avoidance of cable crossings, thereby enhancing system efficiency and reliability. A case study on a recent 1-GW offshore wind farm in Guangdong, China, was used to validate the effectiveness of the proposed method. A multi-criteria decision analysis approach was used to evaluate the proposed method. The evaluation results showed that the design scheme generated by the angle-based partition method performed the best. This design scheme demonstrated a more balanced distribution of turbines per feeder, with virtually no increase in subsea cable length compared to traditional methods such as Improved Prim and Angle-based K-means Clustering.

We present a comprehensive resolution of the Collatz conjecture through two complementary approaches. The primary approach develops a novel framework based on inverse function properties and generative completeness, establishing that all trajectories in the Collatz dynamical system converge to the cycle {1 ,4 ,2}. A second, independent proof using measure theory provides explicit computational bounds for convergence times. Together, these approaches offer both structural understanding and quantitative characterization of the system’s behavior, providing a complete resolution of this long-standing problem.

Using characteristic mode analysis (CMA), this paper introduces a novel approach to antenna design for MIMO (Multiple Input-Multiple Output) systems in the context of 5G applications. This method allows for the reduction of antenna dimensions while increasing their efficiency, which is crucial for modern equipment.With a core frequency of 3.6 GHz, the proposed antenna consists of a small array of 4 x 4 slot-modified patches.The patches are supplied using a coupling slot, a configuration that facilitates the modification of surface currents to improve radiation efficiency and optimize performance over a wide frequency range.. The results show that the antenna has a bandwidth of 750 MHz, covering the frequency range from 3.1 to 3.85 GHz, and a gain of 4.84 dB. The reduced dimensions of this antenna (108 × 108 × 3.2 mm 3) make it a suitable option for space-restricted environments. What’s more, the design is fully compliant with MIMO system specifications. Antenna components can be arranged close together without affecting their radiation characteristics. Experiments carried out on a 4 × 4 MIMO configuration show significant isolation between elements, exceeding 27 dB, as well as an extremely low envelope correlation coefficient of less than 2.8 × e -8. These attributes make this antenna an efficient, space-saving option for the massive MIMO networks of 5G technology, satisfying the high requirements in terms of bandwidth, gain and integration in contemporary wireless systems.

In this paper we study the existence and regularity results of normalized solutions to the following quasilinear elliptic Choquard equation with critical Sobolev exponent and mixed diffusion type operators: − ∆ p u +( − ∆ p ) s u = λ | u | p − 2 u + | u | p ∗ − 2 u + µ ( I α ∗ | u | q ) | u | q − 2 u in R N , ∫ R N | u | p dx = τ , where N≥3, τ>0, p 2 ( N + α N ) < q < p 2 ( N + α N − p ) , I α is the Riesz potential of order α∈(0 ,N), µ>0 is a parameter, ( − ∆ p ) s is the fractional p-laplacian operator, p ∗ = Np N − p is the critical Sobolev exponent and λ appears as a Lagrange multiplier.

Objective: This study aimed to assess the psychometric properties of the Trail Making Test (TMT) and Symbol Digit Modalities Test (SDMT) among individuals with post-COVID-19 conditions compared to healthy controls. Background: Objectively identifying neurocognitive impairments post-COVID-19 in pilots is crucial for ensuring flight safety. TMT parts A and B and SDMT are potential screening tools; however, their sensitivity and specificity in detecting neurocognitive impairment in individuals with post-COVID-19 conditions require further evaluation. Methods: This study included volunteers aged 18-65 with post-COVID-19 symptoms and a healthy control group. Quantitative data were collected via a survey, and qualitative data through interviews. Statistical analyses were performed using IBM SPSS version 29.0. Results: Forty-eight post-COVID-19 patients participated. The area under the receiver operating characteristic curve was 0.85 for TMT Part B (p<0.001), 0.81 for SDMT (p<0.001), and 0.76 for TMT Part A (p=0.01). TMT Part B showed a sensitivity of 71.9%, specificity of 91.3%, and accuracy of 80%. The SDMT had a sensitivity, specificity, and accuracy of 53.1 %, 95.6%, and 70.9 %, respectively. TMT Part A had a sensitivity of 71.9%, specificity of 78.3%, and accuracy of 74.5%. Conclusion: TMT Part B had the highest area under the curve, demonstrating excellent discriminative power. It is also a sensitive and specific tool for identifying pilots that require comprehensive neuropsychological evaluation. A large-scale study is warranted to establish an aircrew-specific normative dataset.

Background: With more patients reaching survivorship, cardiovascular disease and its complications are posing an emerging problem for both oncologists and cardiologists [(1)](#ref-0001). There is a paucity of data on parent/carer or patient understanding of cardiotoxicity as a consequence of cancer therapy nor do we know the educational needs as identified by them. Objective: To determine the understanding of the long-term cardiac effects of therapy from a patient and carer perspective and what educational tools are seen as valuable. Method: This is a qualitative study using grounded theory and inductive thematic analysis. Participants were sampled from Australian Cardio-Oncology Registry Study at The Royal Children’s Hospital, Melbourne Australia and was HREC approved. Patient and parents/carers of children aged 1-18 years old who had been diagnosed with cancer were invited to participate. Semi-structured interviews were conducted via Zoom, with interviews being recorded and then transcribed to allow for thematic analysis. Findings: Twenty-one participants were recruited, with one participant being a young adult cancer survivor. A basic awareness of cardiac toxicity was expressed by all participants. Themes of feeling overwhelmed on diagnosis with poor information retention was common. Revisiting these conversations with preference for long-term side effects being discussed closer to end of treatment was highlighted as well as the provision of survivorship plans. Trust in primary physicians was a prominent theme, with most participants expressing desire to seek information from their treating team as well as hospital electronic resources. Conclusion: Better understanding of the educational needs of families of childhood cancer patients and survivors around cardiac risk and toxicity supports a family-centred approach to care.

Climate change is driving earlier spring leaf-out across temperate regions, but the genetic mechanisms and environmental interactions underlying this variability are poorly understood. We conducted a controlled growth chamber experiment using excised northern red oak ( Quercus rubra) branches, testing the influence of temperature and photoperiod on leaf development. Two genotypes of red oak were exposed to four different warming and daylength treatments, and gene expression was analyzed across stages of bud development. Results revealed significant phenotypic differences between genotypes and across treatments, confirming that leaf-out timing is both genetically determined and environmentally responsive. Our analysis identified several key genes involved in dormancy break and photoperiod sensitivity, including orthologs to genes identified in Populus species, suggesting conserved pathways across tree species. These genes were differentially expressed in response to environmental factors, highlighting the polygenic nature of phenological timing. Notably, modules associated with temperature and photoperiod showed overlap with dormancy break pathways, indicating shared regulatory networks. This study provides a foundational dataset for understanding phenology in red oak and offers insights into how genetic and environmental factors shape leaf development in temperate trees, setting the stage for further functional genomic research.

Malignant adenomyoepithelioma (MAME) of breast is an uncommon neoplasm, comprising merely 1% of primary breast malignancies. This case report presents a 66-year-old Chinese female presented to the clinic in August 2024 with an observed right breast mass that had been noticed 8 months prior, then the patient underwent a modified radical mastectomy and axillary lymph node dissection, with histopathology demonstrating malignant adenomyoepithelioma. This investigation aims to scrutinize the clinicopathological characteristics of a singular case of MAME while reviewing pertinent literature to augment comprehension regarding this condition.

The ability to predict ancient DNA sequencing success in natural history collections is critical to reducing the amount of destructive sampling of a finite resource. So far, studies investigating such success have predominantly focused on taxa with ranges restricted to temperate or cold environments at northern latitudes which likely aids DNA preservation. Here, we report remarkably high aDNA sequencing success in Sirenia, herbivorous marine mammals of which the distribution is currently constrained to the global tropics. We investigate 91 samples from 85 specimens comprising all four contemporary species and one extinct species, comparing different sample types (cranial/post-cranial bone, skin and cartilage), species, collections, and material age. We obtained remarkably high (e.g. > 20%) endogenous DNA preservation for the majority (e.g. ~57% percent) of samples. Sequencing success was linked to sample type, with cranial bones (including petrous and tympanic bones) yielding significantly higher endogenous DNA. Additionally, we obtained variable, but potentially superior DNA results for preserved cartilage and hide samples that can be associated with historical bone. Although such tissue is not always present, this type of material is easy to sample, with very limited destructive impacts on the associated bones and we therefore highlight its untapped potential as a source of DNA. Overall, our results show the high success of ancient DNA retrieval from historical collections of species with a tropical distribution expanding on the types of specimens that are available for temporal genomic analyses.

【Abstract】 Objective The purpose of this study is to analyze the relationship between the expression level of Elongator acetyltransferase complex subunit 5(ELP5) in cholangiocarcinoma cells and their proliferation, invasion and metastasis ability, to explore the effect of ELP5 on the survival and prognosis of patients with cholangiocarcinoma. Methods Analyzing the relationship between ELP5 and the prognosis of cholangiocarcinoma patients based on the TCGA database, and plotting of ROC diagnostic curves, cell morphology experiments are employed to analyze the relationship between ELP5 expression and the proliferation, invasion, migration ability in cholangiocarcinoma. Results Differential results shows that ELP5 was highly expressed in cholangiocarcinoma samples, and the overall survival, progression-free survival, and disease-specific survival of patients in the ELP5 low-expression group are significantly higher than those of patients in the high-expression group. It is found that patients in the low ELP5 expression group have significantly longer overall survival, progression-free survival, and disease-specific survival rates compared to those in the high expression group. Univariate and multivariate Cox regression analyses demonstrates that higher ELP5 expression is associated with an increased risk of mortality. Gene enrichment analysis reveals that ELP5 can negatively regulate the ligand binding of G protein-coupled receptor and its signaling process. Morphological experiments with cells indicates that cholangiocarcinoma cells with low ELP5 expression significantly decrease in proliferation, invasion, and migration abilities compared to normal cells. Conclusion Patients with high expression of ELP5 have worse survival prognosis, and the expression level of ELP5 in tissues of patients with cholangiocarcinoma is positively correlates with the risk of mortality. Reducing the expression of ELP5 in cholangiocarcinoma cells can decrease their proliferation and diminish their invasive and metastatic capabilities.

The Indian Medical Service (IMS), established by the British colonial government, played a crucial role in both military and civilian healthcare in India until its disbandment post-independence. In recent years, the need for a similar central healthcare service cadre has been highlighted, particularly following the COVID-19 pandemic, which exposed critical gaps in healthcare system and emergency management. The re-establishment of a service cadre for doctors like the IAS and IPS, may become a potential solution to India’s healthcare challenges. It would address healthcare inequality by ensuring the equitable distribution of medical professionals, particularly in rural areas, strengthen government health facilities, and reduce the burden on healthcare workers. Along with this, a medical service cadre could provide better legal protections and personal development opportunities for healthcare workers while ensuring uniform healthcare standards across the country. Reviving the IMS is not just an ideal but a pressing necessity to create a resilient, equitable, and efficient healthcare system in India.