Myeloid neoplasms, including acute myeloid leukemia, have been traditionally among the less investigated cancer types concerning germline predisposition. Indeed, myeloid neoplasms with germline predisposition are challenging to identify because often display similar clinical and morphological characteristics of sporadic cases and have similar age at diagnosis. However, a misidentification of familiarity in myeloid neoplasms have a critical impact on clinical management both for the carriers and their relatives. We performed a thorough genomic analysis using a large custom gene panel, the Myelo-Panel, targeted on cancer predisposing genes. In particular, we assessed both germline and somatic variants in 4 families, each with two siblings, who developed hematological neoplasms: 7 acute myeloid leukemia and 1 Philadelphia-positive chronic myeloid leukemia. In each family, we identified at least one novel potentially predisposing variant, affecting also genes not included in the current European LeukemiaNet guidelines for AML management. Moreover, we suggest reclassification of 2 germline variants as pathogenic: likely pathogenic p.S21Tfs*139 in CEPBA and VUS p.K392Afs*66 in DDX41. Our data underline how familiar predisposition to hematological neoplasms is currently underestimated and call for revision of clinical practices that should include thorough reconstruction of family history and genetic testing with gene panels targeted for cancer predisposing genes.

The root cortex is an important anatomical phenes, and root cortical senescence (RCS) is closely associated with root absorptive function. However, characteristics and responses of RCS to drought stress in cotton have received little attention. This study subjected the drought-tolerant cotton variety “Guoxin 02” and the drought-sensitive variety “Ji 228” to drought stress (8% PEF6000) and no-stress (0% PEG6000) treatments to determine the characteristics and responses of cotton RCS to drought stress. The results showed that the RCS of the two varieties was significantly promoted under drought stress. The greater the distance from the root tip, the more severe the RCS occurrence under drought stress compared with non-stress treatment. The occurrence of RCS in “Guoxin 02” highered by 14.03%-20.18% compared to “Ji 228” under drought stress. Moreover, the RCS was significantly negatively correlated with root respiration but significantly positively correlated with total root length and leaf water potential ( p < 0.05). Indole-3-acetic acid (IAA) content increased, while abscisic acid (ABA) content decreased as the RCS increased. In summary, endogenous hormones regulated the occurrence of RCS, which reduced the root metabolic costs and seemingly achieved more resource redistribution to new roots, thereby expanding the water absorption capacity of roots to fully utilize deep water resources. Thus, the study demonstrates the potential of RCS in improving the drought stress tolerance of cotton.

In this work, a polarization rotating surface is designed and analyzed and applied to the decoupling of ultra-wideband antennas. A method of using dual-size combined rings is proposed to expand the operating bandwidth to 4.8GHz–18.2GHz, and the polarization conversion rate within the entire bandwidth is higher than 99%. Based on the principle of polarization mismatch, placing the polarization rotating surface between ultra-wideband antennas for decoupling can reduce the coupling between antennas by an average of 20dB within the operating bandwidth. Simulation and experimental results consistently prove its excellent decoupling capabilities and ultra-wide operating bandwidth.

Hepatitis B virus (HBV) causes severe liver disease by establishing persistent infection in human hepatocytes. Current medications suppress viral replication but cannot eliminate the virus from infected cells. Efforts are focused on modulating intracellular immunity to develop new therapies targeting the major genomic form of HBV, known as covalently closed circular DNA (cccDNA). One potential approach involves utilizing cytidine deaminases APOBEC/AID, which have the ability to mutate and degrade HBV cccDNA. Our study reveals a novel evasion strategy used by HBV to counteract APOBEC/AID immunity and maintain a viral reservoir within the nuclei of infected cells by saturating these enzymes with relaxed circular DNA (rcDNA), the primary target of cytidine deaminases. Reducing rcDNA levels by siRNA or lamivudine or by using transcriptionally silenced cccDNA enhances cccDNA deamination by major APOBEC/AID enzymes. We also demonstrate severe deamination of the host genome by APOBEC3A, APOBEC3B, and AID upon viral suppression by siRNA or lamivudine, indicating that APOBEC/AID cannot be regarded as safe for antiviral treatment in cells with low HBV replication levels. Finally, we show that APOBEC3C and APOBEC3H can improve anti-HBV activity of siRNA therapeutics but do not affect cccDNA deamination. Off-site deamination for these factors was not detected at selected cancer-related genes.

We employ advanced first-principles methodology, merging self-consistent phonon theory and the Boltzmann transport equation, to comprehensively explore the thermal transport and thermoelectric properties of KCdAs. Notably, the study accounts for the impact of quartic anharmonicity on phonon group velocities in the pursuit of lattice thermal conductivity and investigates 3ph and 4ph scattering processes on phonon lifetimes. Through various methodologies, including examining atomic vibrational modes and analyzing 3ph and 4ph scattering processes, the paper unveils microphysical mechanisms contributing to the low $\kappa_{L}$ within KCdAs. Key features include significant anisotropy in Cd atoms, pronounced anharmonicity in K atoms, and relative vibrations in non-equivalent As atomic layers. Cd atoms, situated between As layers, exhibit rattling modes and strong lattice anharmonicity, contributing to the observed low $\kappa_{L}$. Remarkably flat bands near the valence band maximum translate into high PF, aligning with ultra-low $\kappa_{L}$ for exceptional thermoelectric performance. Under optimal temperature and carrier concentration doping, outstanding \textit{ZT} values are achieved: 4.25 (a(b)-axis, p-type), 0.90 (c-axis, p-type), 1.78 (a(b)-axis, n-type), and 2.36 (c-axis, n-type).

The role of hydropower as a renewable and balancing power source is expected to significantly increase in a Net Zero Emissions by 2050 scenario. As a common phenomenon in hydropower plants, hydropeaking will become more prominent, resulting in additional stresses on the ecological status of rivers. Here we propose a novel approach to design and operate auxiliary reservoirs called re-regulation reservoirs that aims to mitigate the adverse impacts of hydropeaking on rivers. A re-regulation reservoir aims at smoothing flow fluctuations caused by hydropeaking by diverting and retaining parts of high flows and returning them back to river corridors during low flows. The regulatory performance of re-regulation reservoirs is a function of its geometry and volume availability. It is defined (and optimized) by restricting various flow components thresholds. Using actual data from a hydropeaking-influenced river system, the operation and efficiency of potential re-regulation reservoir have been investigated by employing a range of thresholds for hydropeaking mitigation. A methodology and an open-access algorithm to operate re-regulation reservoirs, by establishing a hierarchy of conditions to restrict peak flow, minimum flow, up-ramping rates, and down-ramping rates was developed. Our calculations show clear theoretical possibilities for regulating hydropeaking with re-regulation reservoirs, while offering several advantages, including greater flexibility and adaptability to changing environmental conditions, power, and water demand without increasing the operational cost of power systems.

Osteosarcoma (OS) is a rare primary malignant bone cancer affecting mainly young individuals. Treatment typically consists of chemotherapy and surgical tumor resection, which has undergone few improvements since the 1970s. This therapeutic approach encounters several limitations attributed to the tumor’s inherent chemoresistance, marked heterogeneity and metastatic potential. Therefore, the development of in vitroplatforms that closely mimic the OS pathophysiology is crucial to understand tumor progression and discover effective anticancer therapeutics. Contrary to 2D monolayer cultures and animal models, 3Din vitro platforms show promise in replicating the 3D tumor macrostructure, cell-cell and cell-extracellular matrix interactions. This review provides an overview of the biomanufacturing strategies employed in developing 3D in vitro OS models, highlighting their role in replicating different aspects of OS and improving OS anticancer research and drug screening. A variety of 3D in vitro models are explored, including both scaffold-free and scaffold-based models, encompassing cell spheroids, hydrogels, and innovative approaches like electrospun nanofibers, microfluidic devices and bioprinted constructs. By examining the distinctive features of each model type, this review offers insights into their potential transformative impact on the landscape of OS research and therapeutic innovation, addressing the challenges and future directions of 3D in vitro OS modeling.

The escalating global population and depletion of energy resources have intensified the challenge of energy conservation, with buildings alone responsible for 30% to 40% of total energy consumption. Lighting, constituting up to 20% of global energy usage, necessitates innovative strategies for conservation. LED technology, renowned for its efficiency, serves as a pivotal solution. Various control methods, including proportional-derivative plus integral (PD+I) control, have been explored to enhance energy savings while ensuring visual comfort. Mathematical models, both linear and nonlinear, are employed for lamp characterization and control scheme design. Simulation results demonstrate the effectiveness of the proposed PD+I control in achieving energy efficiency across different scenarios.

In this paper, the multiple bifurcation of limit cycles for a segmented disc dynamo system is studied. The formal series method for calculating the singular point quantities is applied to determine the highest order focus value at Hopf bifurcation point. For two cases of the segmented disc dynamo system, namely the system with or without friction coefficient (abbr. SDDF- or SDD-model), the maximum number of limit cycles is obtained at the symmetrical equilibrium points under the condition of synchronous perturbation respectively. At the same time, the parameters condition is classified for exact number of limit cycles near each weak focus. Finally, we find that all equilibrium points of the heart model are Jacobi unstable under certain parameter values.

As digital ecosystems evolve into increasingly complex networks, harnessing their collective potential becomes paramount. This article focuses on developing software for smart ecosystems by programming their underlying System-of-Systems (SoS)—a domain ripe with opportunities and challenges. We propose the Holon Programming Model (HPM), which adds the programmability aspect to the holonic architecture of SoS and will pave the way for more integrated and adaptable systems. Demonstrating the HPM’s utility, we show how developers can program diverse behaviours and execute operations within the disaster management ecosystem, aiming to inspire and motivate software developers to explore the potential of SoS-level applications, which are fundamental for smart ecosystems.

We introduce deep generative diffusion for multivariate and regional surrogate modeling learned from sea-ice simulations. Given initial conditions and atmospheric forcings, the model is trained to generate forecasts for a 12-hour lead time from simulations by the state-of-the-art sea-ice model neXtSIM. For our regional model setup, the diffusion model outperforms as ensemble forecast all other tested models, including a free-drift model and a stochastic extension of a deterministic data-driven surrogate model. The diffusion model additionally retains information at all scales, resolving smoothing issues of deterministic models. Furthermore, by generating physical consistent forecasts, previously unseen for such kind of completely data-driven surrogates, the model can almost match the scaling properties of neXtSIM, which are also observed for real sea ice. With these results, we provide a strong indication that diffusion models can achieve similar results as traditional geophysical models with the significant advantage of being orders of magnitude faster and solely learned from data.

In areas of induced seismicity, earthquakes can be triggered by stress changes from fluid injection and from static deformation caused by fault slip. Here we present a method to distinguish between injection-driven and earthquake-driven triggering of induced seismicity by combining a calibrated, fully-coupled, poroelastic stress model of wastewater injection with a random forest machine learning algorithm trained on both earthquake catalog and modeled stress features. We investigate the classic Paradox Valley, Colorado induced seismicity dataset as an ideal test case: a single, high-pressure injector that has induced >7000 earthquakes between 1991 and 2012. We find that injection-driven earthquakes are approximately 22±-5% of the total catalog and have distinct spatiotemporal clustering with a larger b-value, closer proximity to the well and earlier occurrence in the injection history. Our model may be applicable to other regions to help determine site’s susceptibility to triggered earthquakes due to fluid injection.

Data-driven methods such as group independent component analysis (GICA), group information guided ICA (GIG-ICA), and independent vector analysis (IVA-GL) have been instrumental in the exploration of spatial and temporal brain functional networks. The previous comparative studies have mainly focused on the linear and nonlinear mixed variability, making it difficult to identify consistent patterns within the population. This study aimed to comprehensively investigate the extent to which linear inter-subject variability (L-ISV) is present in the spatial and temporal domains of brain functional networks and specifically examine the performance of GICA, GIG-ICA, and IVA-GL in characterizing this variability. Resting-state fMRI data was obtained from the Open Access Series of Imaging Studies (OASIS-3), which included 100 healthy controls (HC) and 53 participants with mild cognitive impairment (MCI) Differences in L-ISV between GIG-ICA and IVA-GL were found for spatial properties only in the MCI group, but not for temporal properties. A similar pattern was observed between GICA and IVA-GL in the spatial properties. The MCI group showed increased variability as evidenced by greater amplitude and widespread clusters in the spatial properties compared to HC. For the combined spatial and temporal features, the default mode network (DMN) and sensorimotor network (SMN) showed consistent performance in classifying MCI and HC. Specifically, IVA-GL achieved a classification accuracy of 75.80% for the DMN and 77.80% for the SMN, compared to 71.90% and 70.59% for GICA, respectively. Also, for DMN and SMN, GIG-ICA achieved 75.16% and 71.90%, respectively, compared to IVA-GL with 75.82% and 77.78%, respectively. IVA-GL outperformed GICA and GIG-ICA in classification, indicating its efficiency in discriminating networks with high L-ISV. In conclusion, the study revealed substantial L-ISV in the spatial properties of the MCI group. IVA-GL was more effective in determining

Commodity-of-the-shelf (COTS) data streaming platforms, e.g., Apache Kafka, RabbitMQ, have been powering companies from several sectors to move and extract further insights from their data. Yet, little is known about the suitability of these platforms for mission critical applications such as disaster recovery, first-aid response and military coordination. This paper provides a provocative discussion on how prepared current data streaming platforms are for mission critical scenarios. We argue that, despite their intrinsic reliability and security features, these platforms are still hard to test/operate which ultimately hinders trust on their safety and security conditions. Moreover, they commonly assume a powerful underlying infrastructure, which makes it tough to keep a high performance in resource-constrained environments (e.g., satellite networks). We conclude by identifying relevant research directions to ameliorate the performance and suitability of data streaming platforms for mission-critical applications.

Aims: Pharmacogenetics (PGx) is increasingly recognised as a strategy for medicines optimisation and prevention of adverse drug reactions. According to guidelines produced by the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Dutch Pharmacogenetic Working Group (DPWG), most medicines with drug-gene interactions (DGIs) are prescribed in primary care. This study aimed to estimate the prevalence of potential and actionable DGIs involving all medicines dispensed in Irish primary care. Methods: Dispensings of 46 drugs to General Medical Services (GMS) patients in the Health Service Executive Primary Care Reimbursement Service (HSE-PCRS) Irish pharmacy claims database from 01/01/21-31/12/21 were analysed to estimate the national prevalence of total dispensings and incidence of first time dispensings of drugs with potential DGIs according to the CPIC and/or DPWG guidelines. Phenotype frequency data from the UK Biobank and the CPIC were used to estimate the incidence of actionable DGIs. Results: One in five dispensings [12,443,637 of 62,754,498; (19.8%)] were medicines with potential DGIs; 1,878,255 of these dispensed for the first time. On application of phenotype frequencies and linked guideline based therapeutic recommendations, 2,349,055 potential DGIs i.e. (18.9%) required action, such as monitoring, guarding against maximum dose, drug or dose change. One in five [369,700 (19.7%)] first time dispensings required action, with 139,169 (7.4%) requiring a change in prescribing. Antidepressants, weak opioids and statins were most commonly identified as having actionable DGIs. Conclusions: There is a high prevalence of DGIs in primary care in the Irish setting, identifying the need and opportunity to optimise drug therapy through PGx testing.

Chronic inflammatory demyelinating polyneuropathy. A case descriptionGarcia-Castillo M.Written informed consent was obtained from the patient to publish this report in accordance with the journal’s patient consent policy.

Due to extensive poaching and habitat degradation, the Chinese pangolin (Manis pentadactyla) population had plummeted by approximately 90%, leading the International Union for Conservation of Nature (IUCN) to classify it as a Critically Endangered (CR) species. The scarcity of up-to-date data on the species’ distribution and dynamics presented a significant challenge in developing effective conservation strategies and implementing protective measures within China. This study employed on eleven widely used modeling techniques created within the BIOMOD2 framework to predict suitable habitats for the pangolin at the county scale, while examining the correlation between environmental variables and pangolin distribution. The results revealed that in Mingxi County, situated in the eastern sector of the Wuyi Mountains, the moderately suitable habitat spanned 260 km², accounting for 15% of the total area, whereas the highly suitable habitat encompassed only 49 km², constituting 3% of the total area. Within the county-managed nature reserve, the proportion of highly suitable habitats reached as high as 52%. However, nearly half of these areas, both moderately and highly suitable, remained inadequately addressed and conserved. The findings underscored the inadequacy of existing protected areas in sustaining the current pangolin population, leading to the identification of nine administrative villages that necessitated prioritized conservation efforts. The study anticipated an overall expansion in suitable habitats over the ensuing two decades, likely associated with an increase in precipitation, with significant growth projected in the eastern regions of Xiayang Township and Hufang Town. This research offered a clear and applicable research paradigm for the specific administrative level at which China operates, particularly pertinent to county-level jurisdictions with established nature reserve. In order to more precisely evaluate the pangolin’s situation at the county scale, the study underscored the paramount importance of conducting field surveys, deemed as the most urgent task at the time.

Islands provide a great system to explore the processes that maintain genetic diversity and promote local adaptation. We explored the genomic diversity of the Balearic lizard Podarcis lilfordi, an endemic species characterized by numerous small insular populations with large phenotypic diversity. Using the newly available genome for this species, we characterized more than 300,000 SNPs, merging Genotype by Sequencing (GBS) data with previously published Restriction-site associated DNA sequencing (RADSeq) data, providing a dataset of 16 island populations (191 individuals) across the range of species distribution (Menorca, Mallorca, and Cabrera). Results indicate that each islet hosts a well-differentiated population (Fst=0.2470.09), with no recent immigration/translocation events. Contrary to expectations, most populations harbor a considerable genetic diversity (mean nucleotide diversity, Pi=0.1440.021), characterized by overall low inbreeding values (Fis<0.1). While the genetic diversity significantly decreased with decreasing islet surface, maintenance of substantial genetic diversity even in tiny islets suggests variable selection or other mechanisms that buffer genetic drift. Maximum-likelihood tree based on concatenated SNP data confirmed the existence of the two major independent lineages of Menorca and Mallorca/Cabrera. Multiple lines of evidence, including admixture and root testing, robustly placed the origin of the species in the Mallorca Island, rather than in Menorca. Outlier analysis mainly retrieved a strong signature of genome differentiation between the two major archipelagos, especially in the sexual chromosome Z. A set of proteins were target of multiple outliers and primarily associated with binding and catalytic activity, providing interesting candidates for future selection studies. This study provides the framework to explore crucial aspects of the genetic basis of phenotypic divergence and insular adaptation.

1. INTRODUCTIONThromboembolism is a common and potentially life-threatening complication that can arise from various medical conditions, including malignancy and a spectrum of benign diseases. Adenomyosis, characterized by the presence of endometrial glands and stroma within the myometrium, is a benign uterine disorder that typically presents in middle-aged postpartum women with symptoms of menorrhagia, dysmenorrhea, and chronic pelvic pain. The true prevalence of adenomyosis remains unknown, although estimates derived from patients referred for pelvic imaging suggest a range of 20% to 34%.1 The association between adenomyosis and thrombosis was first described by Kupryjanczyk in 1991.2 Subsequently, several isolated case reports and case series have documented the occurrence of ischemic stroke3-20 and pulmonary embolism (PE)21, 22 in patients with adenomyosis, suggesting a possible association with hypercoagulability induced by this disorder. However, there are few reports of cases complicated by isolated deep vein thrombosis (DVT). 23, 24 In this report, we present a case of isolated distal deep venous thromboembolism (IDDVT) in a patient with a 1.5-year history of adenomyosis. We also conducted a comprehensive literature review to explore the clinical features, treatment approaches, and prognosis of thrombotic complications associated with this condition.

A 70-year-old man presented with regular wide QRS complex tachycardia (WCT) at a rate of 185 beats/min, characterized by left bundle branch block morphology. WCT termination was achieved through electrical cardioversion. A subsequent 12-lead electrocardiogram revealed sinus rhythm with complete right bundle branch block (CRBBB) morphology. Echocardiography showed normal left ventricular function without structural heart disease. An electrophysiological study was then conducted, followed by catheter ablation. At baseline, the atrio-His and His-ventricular intervals were normal. Fractionated ventricular potentials were observed in the para-Hisian region during sinus rhythm. Neither dual atrioventricular (AV) nodal physiology nor ventriculoatrial conduction was observed during programmed pacing. Clinical WCT was induced by ventricular extra-stimulation with concurrent AV dissociation and no visual His bundle potential, confirming the diagnosis of ventricular tachycardia (VT). Figure 1 illustrates 12-lead electrocardiograms recorded during overdrive pacing from the right ventricular apex (RVA) and right atrial septum during VT. The electroanatomical activation map revealed a distinctive focal breakout pattern with fractionated potentials originating from the para-Hisian region. In the noncoronary cusp (NCC), corresponding to the opposite side of the para-Hisian region, prolonged and fractionated ventricular potentials preceding QRS onset by 56 ms were recorded (Figure 2A). Figure 2B shows the intracardiac electrogram recorded during ventricular overdrive pacing from the NCC during VT. Based on these observations, what is the mechanisms underlying the tachycardia?

Abstract: Two-dimensional transition metal dichalcogenides (2D-TMDs) possess appropriate bandgaps and interact through van der Waals (vdW) forces between layers, overcoming the lattice matching issues inherent in traditional heterostructures, enabling the construction of heterostructures with varying bandgap alignments. However, the current main method for creating heterostructures with 2D-TMDs relies on the low-efficiency technique of mechanical exfoliation, which is a barrier to large-scale production. As one of the p-type TMDs, Sb2Te3, can construct various 2D transition metal chalcogenide p-n heterostructures. Therefore, in this paper, large-scale deposition of 2D Sb2Te3 on inert mica substrates was successfully realized, offering valuable insights for creating heterostructures between Sb2Te3 and other two-dimensional layered materials. Building on it, Sb2Te3 is selectively epitaxially grown on WS2 surfaces pre-prepared on SiO2/Si substrates using a two-step chemical vapor deposition method, resulting in the formation of Sb2Te3 /WS2 heterojunctions. Finally, the 2D Sb2Te3 /WS2 optoelectronic devices were prepared, showing rapid response times, with a rise time of 305 μs and a fall time of 503 μs.

The Amundsen Sea in West Antarctica features rapidly thinning ice shelves and large, seasonally recurring polynyas. Within these polynyas, sizable spring phytoplankton blooms occur. Although considerable effort has gone into characterising heat fluxes between the Amundsen Sea, its associated ice shelves, and the overlying atmosphere, the effect of the phytoplankton blooms on the distribution of heat remains poorly understood. In this modelling study, we implement a feedback from biogeochemistry onto physics into MITgcm-BLING and use it to show, for the first time, that high levels of chlorophyll – concentrated in the Amundsen Sea Polynya and the Pine Island Polynya – accelerate springtime surface warming in polynyas through enhanced absorption of solar radiation. The warm midsummer anomaly (on average between +0.2°C and +0.3C°) at the surface is quickly dissipated to the atmosphere, by small increases in latent and longwave heat loss as well as a substantial (17.5%) increase in sensible heat loss from open water areas. The summertime warm anomaly also reduces the summertime sea ice volume, and stimulates enhanced seasonal melting near the fronts of ice shelves. However larger effects derive from the accompanying cold anomaly, caused by shading of deeper waters, which persists throughout the year and affects a decrease in the volume of Circumpolar Deep Water on the continental shelf. This cooling ultimately leads to an increase in wintertime sea ice volume, and reduces basal melting of Amundsen Sea ice shelves by approximately 7% relative to the model scenario with no phytoplankton bloom.

Bristlecone pine (Pinus longaeva) (PILO) trees exhibit exceptional longevity. Their tree-ring width (TRW) series offer valuable insights into climatic variability. Maximum latewood density (MXD) typically correlates better with temperature variations than TRW, yet PILO MXD records are non-existent due to methodological challenges related to their tree-ring structure. Here, we used an X-ray Computed Tomography (X-ray CT) toolchain on 51 PILO cores from the California White Mountains to build a chronology that correlates significantly (r=0.66, p<0.01) with warm-season (March-September) temperature over a large spatial extent. This led to the first X-ray CT-based temperature reconstruction (1625 – 2005 CE). Good reconstruction skill (RE=0.51, CE=0.32) shows that extending MXD records across the full length of the PILO archive could yield a robust warm-season temperature proxy for the American Southwest over millennia. This breakthrough opens avenues for measuring MXD in other challenging conifers, increasing our understanding of past climate further, particularly in lower latitudes.

Wave-induced fatigue damage is inevitable for the deepwater steel catenary riser (SCR). To accurately evaluate the fatigue performance of the full-scale SCR using small-size specimens, five kinds of fatigue testing strategies were explored, considering the effect of welding residual stress. Further, the corresponding fatigue tests were conducted regarding the welded joint specimens with the same weld profile, and the relevant differences in fatigue testing results were comprehensively analyzed. Through comparison with the full-scale resonant bending fatigue testing results, the most equivalent strategy using small-scale specimens was confirmed. The relevant results indicated that compared with the fatigue lives of full-scale pipeline joint specimens, the fatigue testing lives under the constant applied maximum stress of the yield strength for base material or the constant applied mean stress of the peak value of transverse welding residual stress strategy are relatively lower. The fatigue life values obtained from the high-stress ratio testing strategy are higher, especially in the low-stress range region. Comparatively, the fatigue lives obtained under the 80 mm wide specimen without the cutting process strategy were higher in the high-stress range region. The variable applied mean stress strategy using the 25 mm wide welded joint specimen was most suitable for equivalence with full-scale fatigue testing results, and the difference in the fatigue life testing results was only 9.7%. The difference between the applied mean stress and the actual transverse welding residual stress under various fatigue testing strategies is the key to affecting the equivalence of fatigue testing results.