bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinicopathogenomic analysis of AKT1-PIK3CA-PTEN-altered luminal metastatic breast cancer in Japan
Authors: Tada Hiroshi , Miyashita Minoru , Harada-Shoji Narumi , Ebata Akiko , Sato Miku , Motonari Tokiwa , Yanagaki Mika , Kon Tomomi , Sakamoto Aru , Ishida Takanori 
Published: July 2024

Abstract

This rapid communication highlights the correlation between protein kinase B alpha (AKT1)-phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA)- phosphatase and tensin homolog (PTEN) alterations and clinicopathological factors in Japanese patients with metastatic recurrent breast cancer (mBC). This study analyzed 1967 patients with luminal-type breast cancer who underwent cancer gene panel testing. The results demonstrated that AKT pathway alterations, including AKT1-PIK3CA-PTEN, occurred in 1038 (52.8 %), 131 (6.7 %), and 76 (3.9 %) cases, respectively. Patients with AKT pathway mutations were older (p = 0.002) and had a higher rate of invasive lobular carcinoma (ILC) histology (p = 0.001), progesterone receptor (PgR) positivity (p = 0.006), and bone metastases (p = 0.001), and a lower rate of germline BRCA2 (p < 0.001). Comprehensive genomic profile results demonstrated a higher tumor mutational burden (TMB) (< 0.001) and lower tumor BRCA1/2 expression (< 0.001) in patients with mutations in the AKT pathway. These results are crucial for characterizing candidates for AKT pathway-targeted molecular therapies and conceptualizing optimal treatment strategies.
Dynamic resistance exercise training in the treatment of chronic diseases among older adults: A systematic review of randomized controlled studiesQiwei Fan#, Junli Wang#
Authors: Fan Qiwei , Wang Junli 
Published: July 2024

Abstract

Background: Resistance training is important for health aging. Resistance training program following exercise prescription principle is favorable to maximize health benefits. We aimed to conduct a systematic review of dynamic resistance training (DRT) intervention in the treatment of chronic diseases in old adults in terms of adherence to the Frequency (F), Intensity (I), Time (T), Type (T), Volume (V), and Progression (P) or the FITT-VP principle.
Methods: a systematic search was conducted from inception to March 2024 in the databases of PubMed, Cochrane library, Embase, Physiotherapy Evidence Database to identify eligible studies:(1) Old adults aged ≥ 65 years and a confirmed diagnosis of chronic diseases; and (2) randomized controlled studies (RCTs) that compared DRT as the primary intervention to usual care, wait list control, or sham exercise; and (3) DRT for a duration ≥ 4 weeks.
Results: Of the 9060 records screened, 92 RCTs with good quality that included 6733participants aged 70.0 ±4.2 years met the criteria. RCTs involved 13 different chronic diseases including cancer (n=10), cardiac disease (n=2), chronic kidney disease (n=2), chronic obstructive pulmonary disease (COPD) (n=8), depression (n=5), hypertension (n=9), mild cognition impairment (MCI) and dementia (n=9), osteoarthritis (n=9), periphery artery disease (PAD) (n=s9), Parkinson’s disease (PD) (n=7), sarcopenia (n=11), stroke (n=4), and type 2 diabetes mellitus (T2DM) (n=7). Overall, DRT was performed mostly with supervision (n=74) at moderate to vigorous intensity for 2.7±0.7 sessions per week for 45.6 ± 14.3 min per session for 17.5±11.5 weeks with the adherence of 85.71%±10% (n=48). A DRT session consisted of 7.4 ± 3.2 exercises performed for 3.0±0.9 sets and 12.6±4.1 repetitions. Overall, only 14 studies met all FITT-VP components. DRT may improve cancer-related fatigue, muscle strength in COPD, depression symptoms in depression, cognition in MCI, lower-limbs muscle strength and physical performance in osteoarthritis, walking distance in PAD, gait performance in PD and muscle quality in sarcopenia.
Conclusions: Limited studies implementing DRT in the treatment of chronic diseases in old adults adhered to FITT-VP principle. Future studies should address the limitations to progress the application and effectiveness of DRT in treatment of different chronic diseases in old population.
Enhancing deep learning-based city-wide traffic prediction pipelines through complexity analysis
Authors: Kumar Nishant , Martin Henry , Raubal Martin 
Published: July 2024

Abstract

Deep learning models can effectively capture the non-linear spatiotemporal dynamics of city-wide traffic forecasting. Evidence of varying deep learning model performance between different cities, different prediction horizons, different scales, specific city regions, and during particular hours of the day abounds in the literature on deep learning-based traffic prediction, yet a unified metric to quantify the complexity of different prediction tasks does not exist. This paper proposes two metrics - Model Complexity ($MC$) and Intrinsic Complexity ($IC$). While $MC$ quantifies the complexity of deep learning models for city-wide traffic prediction tasks, the $IC$ quantifies the underlying complexity of the prediction task. Both metrics are validated through systematic experimentation using traffic volume data from three cities. Finally, we demonstrate how these metrics can improve the workflows for deep learning-based data-driven traffic prediction pipelines and deployment by reducing the hyperparameter search scope and comparing the effectiveness of different design pathways.
SYK Promotes the Formation of Neutrophil Extracellular Traps by Inducing PKM2 Nuclear Translocation and Promoting STAT3 Phosphorylation to Exacerbate Hepatic Ischemia-Reperfusion Injury and Tumor Recurrence
Authors: Chen Xuejiao , Jiang Chuanwei , Chen Minhao , Li Xiangdong , Yu Wenjie , Sun Linfeng , Qiu Aigang , Pu Liyong , Shi Yuhua 
Published: July 2024

Abstract

Background
At present, hepatic ischemia-reperfusion injury (IRI) is an important complication of partial hepatectomy and liver transplantation, and it is an important cause of poor prognosis. Spleen tyrosine kinase(SYK) plays an important role in a variety of signaling pathways in the liver, but its role in hepatic IRI is still unclear. This study aims to investigate the role and mechanism of SYK in hepatic IRI and tumor recurrence.
Methods
We first observed the activation of SYK in the liver of mice in response to hepatic IRI. Subsequently,Pharmacological inhibitions of SYK were used to evaluated the effect of SYK on neutrophil recruitment and NETosis,and further explored the effect of SYK on IRI and tumor recurrence.
Results
Our study shows that SYK is activated in response to hepatic IRI and aggravates liver injury.On the one hand, neutrophils SYK during the early stage of liver reperfusion increases neutrophil extracellular traps (NETs) production by promoting Pyruvate kinase M2(PKM2) nuclear translocation leading to upregulation of phosphorylated STAT3, thereby exacerbating liver inflammation and tumor recurrence. On the other hand, macrophages SYK can promote the recruitment of neutrophils and increase the activation of NLRP3 inflammasome and IL1β, which further promotes the formation of NETs.
Conclusions
Our study demonstrates that neutrophil and macrophage SYK synergistically promote hepatic IRI and tumor recurrence, and SYK may be a potential target to improve postoperative hepatic IRI and tumor recurrence.
Clinical characteristics and outcomes of Malabar Pit Viper envenomation from North Kerala
Authors: Rejeev Devapriya , Mohanachandran Sreelakshmi , Basheer Aneesh 
Published: July 2024

Abstract

Snake bite is an important public health problem in all the tropical countries, and especially in India. Malabar pit viper, being endemic to western ghats of India, is responsible for many snake bites in this region. We conducted a retrospective study on Malabar pit viper bites between January 2021 and December 2022 at our tertiary care center in Wayanad. We identified 20 confirmed cases of Malabar pit viper envenomation and data pertaining to bite site, fang marks, local reaction, basic laboratory reports, 20-minute whole blood clotting time (WBCT), administration of Anti-Snake Venom (ASV), dose of ASV, reactions, duration of hospital stay, and outcomes of patients was ascertained. Bites were in the upper limb in 14 (70%) of the 20 patients. The 20-minute WBCT was prolonged in 8 (40%) out of 20 patients. Among the 20 cases, 15 (75%) received one or more doses of ASV. All patients recovered without any residual effects with two patients (10%) developing complications due to cellulitis and ASV allergic reaction respectively. Development of species specific antivenom and awareness about clinical profile and outcomes of MPV envenomation will help to rationalize use of the expensive and scarce polyvalent ASV in India.
CO2 Dynamics in a Mofette: Measurement and Modeling
Authors: Gergely Attila , Gál Ágnes , Szakács Alexandru , Néda Zoltán 
Published: July 2024

Abstract

We investigated the CO2 emissions in a mofette gas pool located in Covasna, Romania. Using a custom-built remote sensing device, we monitored the gas concentrations, temperature, and pressure for seven months. The measurements showed both diurnal cycles and short-term bursts of CO2 emissions along with instances of erratic yield anomalies. We employed the convection-diffusion equation to estimate gas flow rates without altering the natural state of the mofette. We also developed a model that uses the measured pressure and temperature to predict the CO2 outflow yield. The model's overall predictions approximate well the observed CO2 flux. However, the subtle mismatches between these two suggest that subsurface geological processes, which require further investigation, may also influence the gas flow. This research provides insights into the dynamics of focused CO2 emissions, with potential applications in environmental monitoring and therapeutic practices.
Life under the rainbow: Self-harm and suicidality among LGBT community in Bangladesh
Authors: Mozumder Muhammad Kamruzzaman 
Published: July 2024

Abstract

Background.
The LGBT communities in Bangladesh live in precarious conditions under the legal and social sections against them. This study was carried out in a context where data on suicidality among these sexual minority communities in Bangladesh exist little beyond anecdotal reports.
Methods.
A countrywide cross-sectional survey was carried out to collect data from LGBT (n = 297) and cisgender (n = 86) participants. Snowball sampling was used for generally secretive LGBT participants.
Results.
Findings indicated significantly higher prevalences of self-harm (direct and indirect), death wish, suicidal ideation, and suicide attempt among the LGBT communities compared to the cisgender population. The lesbians reported the highest lifetime prevalence for indirect self-harm (62%), direct self-harm (56%), death wish (74%) and suicidal ideation (53%). Reported suicide attempts were most common among gays (41%) closely followed by lesbians (38%) and transgenders (36%). When compared with the cisgender population, the odds of these experiences ranged from 3.97 to 13.17 for lesbians, 2.34 to 9.26 for gays, 1.37 to 2.91 for bisexuals, and 2.21 to 13.41 for transgenders.
Conclusion.
The findings bring forth a dire picture of the high risk of suicidality among the hidden sexual minority communities in Bangladesh and are expected to contribute to evidence-informed policymaking.
Enhancing ground loss rate prediction in soft-soil shield tunneling—A synergistic approach of Peck back analysis and eXtreme Gradient Boosting and Bayesian optimization
Authors: Ding Zhi , Tu Wenrong , Li Xinjia 
Published: July 2024

Abstract

Due to the characteristics of soft soil, ground settlement is highly prone to occur in the construction process, and ground loss is one of the essential factors causing ground settlement in shield tunneling. This study calculates the ground loss rate of some shielded soft-soil sections in the Hangzhou area using Peck’s back analysis method. It examines the influences of the geological parameters and the geometric parameters of a tunnel on the ground loss rate through data analysis to develop a model for predicting the ground loss rate in soft-soil areas. Then the model for predicting the ground loss rate based on eXtreme Gradient Boosting (XGBoost) and Bayesian optimization is established, and the prediction method of the ground loss rate, combining the surface settlement value, detailed geological parameters, the geometric parameters of the tunnel, and construction parameters, is innovatively proposed. The results show that the soil properties and the grouting factors of the excavation face affect the duration of the instantaneous settlement of the ground surface. There is a specific correlation between the depth-to-diameter ratio, the coefficient of variation in the advancing speed of the shield machine, the maximum surface subsidence, and the ground loss rate. The prediction model of the ground loss rate based on the synergistic approach of Peck back analysis and eXtreme Gradient Boosting and Bayesian optimization has high reliability in soft-soil layers, and this method can provide a specific reference for predicting construction risk in related projects.
Depressive mixed state and anxious distress as risk factors for suicidality during major depressive episodes
Authors: Ota Kazuki , Shinzato Hotaka , Otsuka Naoaki , Zamami Yu , Kurihara Kazuhiro , Futenma Kunihiro , Kondo Tsuyoshi , Takaesu Yoshikazu 
Published: July 2024

Abstract

Accurately assessing and predicting suicidality in patients with depression are challenging for researchers and clinicians. We examined various risk factors for suicidality during major depressive episodes (MDE), especially focusing on depressive mixed state (DMX) and anxious distress (AD). We recruited 187 patients with MDE and divided them into two groups—with and without suicidality—defined as the cut-off score of 1 or more on the suicidality sub-item in the Quick Inventory of Depressive Symptomatology-Self Report. The presence of DMX was defined as a total score of 13 or more on the self-administered 8-item questionnaire for DMX. We used multivariate logistic regression analysis with the presence or absence of suicidality as a dependent variable for investigating factors associated with suicidality. The with suicidality group was younger and indicated a greater proportion of past suicide attempts, AD, and DMX than the without suicidality group. Logistic regression analysis revealed that AD (P = 0.047) and DMX (P = 0.018) were significantly associated with suicidality. AD and DMX may promote suicidality during MDE. These two psychopathological features should be carefully monitored and intensively treated for the prevention of suicide-related events.
The Effect of Fear of Covid-19 on Anxiety and Postpartum Depression in Postpartum Women: Cross-sectional study
Authors: KIZOGLU Cennet Nur , BEKTAS HATİCE ACAR 
Published: July 2024

Abstract

Purpose
This study aimed to determine the effect of fear of Covid-19 on anxiety and postpartum depression in postpartum women.
Methods
The research, which is cross-sectional, was conducted online between December 2021 and May 2022 on 110 postpartum women who were between 2 and 4 weeks postpartum. Data were collected using a personal data collection form, Fear of Covid-19 Scale (FCV-19S), General Anxiety Disorder 7 (GAD 7) and Edinburgh Postpartum Depression Scale (EPDS). In the analysis of the data, minimum-maximum values, percentages and numbers were given, and the relationship between the scale scores was examined with Pearson correlation analysis. Logistic regression analysis was performed to determine the factors affecting postpartum depression.
Results
The average age of women is 29.98 ± 5.62. 13.60% of the participating postpartum women were diagnosed with Covid-19 during their pregnancy, and 69.10% of them were diagnosed with Covid-19 by a relative of the pregnant woman. It was determined that 73.60% of the participants in the research had received the Covid-19 vaccine. The prevalence of postpartum depression was found to be 30.90%. It was determined that 18.20% of the participants suffered from general anxiety. The average score of the fear of Covid-19 scale was determined as 14.27 ± 6.55.
Conclusion
It was determined that an increase in the GAD 7 and FCV-19S scale scores increased the postpartum depression score.
Sustainable Engineering of Machine Learning-Enabled Systems: A Systematic Mapping Study
Authors: Chadli Kouider , Botterweck Goetz , Saber Takfarinas 
Published: July 2024

Abstract

The widespread adoption of Machine Learning (ML) across various sectors presents unique challenges beyond the scope of conventional software engineering, especially throughout the lifecycle of ML-Enabled Systems (MLES). As ML becomes central to software operations, the substantial computational resources required for their training, testing, retraining, and maintenance underscore the urgent need for sustainable DevOps practices in AI-centric software ecosystems. Despite the critical importance of this subject, there remains a lack of a unified review that addresses these sustainability challenges within the ML lifecycle from a holistic perspective. This study aims to bridge the research gap by conducting a systematic mapping study of current practices and methodologies that promote sustainable MLOps. Additionally, we have mapped these techniques and methodologies across the MLOps pipeline and extracted lessons learned from each phase to enhance our understanding and application of sustainable practices in MLOps. By doing so, this paper seeks to offer insights into strategies that could mitigate the environmental, economic, technical, social, and individual sustainability challenges associated with MLES, thereby contributing to the development of more sustainable ML-Enabled Systems.
The impact of HCl on alkali-induced corrosion of stainless steels/FeCrAl alloy at 600 °C: The story after breakaway
Authors: Ssenteza Vicent , Jonsson Torbjörn , Nockert Johanna , Liske Jesper 
Published: July 2024

Abstract

The impact of Cl on alkali-induced high temperature corrosion of stainless steels/FeCrAl alloys after breakaway oxidation was investigated in a simulated biomass- and waste-fired boiler environment at 600°C. For this investigation, three alloys were exposed to low Cl load environment (H2O + KCl) and to high Cl load (H2O + KCl + HCl). Post-exposure analysis showed that the stainless steel SVM12 experiences fast oxidation and forms thick double-layered Fe-rich oxide scales. The corrosion attack is further accelerated with addition of HCl for this material with the effect being more pronounced in the inward-growing scale. The FeCrAl and FeCrNi alloys exhibit slower oxidation kinetics after the breakaway corrosion compared to SVM12 in the H2O + KCl exposure. Furthermore, in contrast to SVM12, the addition of HCl did not accelerate the corrosion attack on these alloys. It is argued that the properties of the secondary oxide layer formed after breakaway corrosion is important in the continued corrosion resistance against chlorine induced corrosion attack. Especially, the Cr-content in the inner scales is suggested to be important in corrosion mitigation.
Investigation of cold-formed steel built-up box sections using Experimental and Numerical analysis
Authors: M Banu Priya , K Aarthi 
Published: July 2024

Abstract

In cold-formed steel (CFS) construction, built-up box sections are becoming more and more common for beam members. This paper presents a thorough analysis of the experimental and numerical aspects of the innovative face-to-face joined built-up cold-formed steel beams. It is done through finding buckling-moment resistance capacity under four-point bending. Two press-braked channel pieces are used to build these built-up beams, and bolted connections hold them together. The two different cross sections examined in the research work are namely FFT (face-to-face connected CFS channel section having screws only at the top) and FFTB (Face-to-face connected CFS channel section having screws both at the top and the bottom). The screws prevent each of the channels from buckling independently in this configuration. The beam is square in cross-section and contains stiffener only at the web portion. The study took into account three distinct parameters: (1) Screw spacing; (2) the screw's placement; and (3) the thickness of the section. A total of 8 sections were tested using the experimental method. Here, the moment-deflection relationship and the mechanism of failure covered in detail. Using finite-element (FE) models produced with the commercial program ABAQUS [3], numerical analysis was performed. Regarding ultimate moment capacities and buckling modes, the findings of the actual tests and the FE agreed rather well. The FE models were therefore confirmed. The design strengths computed concerning American Iron and Steel Institute (AISI) were compared with the design strengths found through experimental and FE method. Also, a detailed discussion is provided of how the parameters as mentioned earlier affect stiffness, buckling resistance behavior, flexural strength, and the failure mode. After a discussion of the experimental, theoretical, and FE results, the ideal screw spacing, location, and specimen thickness are suggested.
Normal-Abnormal Negative Impacts Suppressing Via Normal Feature Memory For Video Anomaly Detection
Authors: Chen Qihui , Liang Weijie , Zhan Yongzhao 
Published: July 2024

Abstract

In the field of video anomaly detection, effective representation for the normal and abnormal video features is a key issue for improving the accuracy of detection models. The feature representation based on global spatio-temporal networks lacks to consider negative impacts for the features between normal segment and abnormal segment, resulting in incorrect detection for some segments in video. To address this issue, a new approach of normal-abnormal negative impacts suppressing via normal feature memory for video anomaly detection is proposed. In this method, feature representation with normal–abnormal negative impacts suppression via normal feature memory pool is modeled, which can be used to suppress normal-abnormal negative impacts in video feature learning. Constraint learning for normal feature memory pool is designed to promote more effective learning for the normal feature memory pool and feature of abnormal video segment. Extensive experiments demonstrate that the proposed method outperforms the relative state-of-the-art methods on the Shanghai-Tech and XD-Violence datasets and achieves competitive results on the UCF-Crime dataset. This indicates that the proposed method can effectively enhances the performance of anomaly detection, thereby validating its effectiveness in practical applications.
Quaternion-based Deep Image Prior with Regularization by Denoising for Color Image Restoration
Authors: Zhang Qinghua , He Liangtian , Gao Shaobing , Deng Liangjian , Liu Jun 
Published: July 2024

Abstract

Deep image prior (DIP) has demonstrated remarkable efficacy in addressing various imaging inverse problems by capitalizing on the inherent biases of deep convolutional architectures to implicitly regularize the solutions. However, its application to color images has been hampered by the conventional DIP method's treatment of color channels in isolation, ignoring their important inter-channel correlations. To mitigate this limitation, we extend the DIP framework from the real domain to the quaternion domain and propose a novel quaternion deep image prior (QDIP) model for color image restoration. More importantly, to enhance the recovery performance of QDIP and alleviate its susceptibility to the unfavorable overfitting issue, we propose incorporating the concept of regularization by denoising (RED). This approach leverages existing denoisers to regularize inverse problems and integrates the RED scheme into our QDIP model. Extensive experiments on color image denoising, deblurring, and super-resolution show that the proposed QDIP and QDIP-RED achieve highly competitive performance against many state-of-the-art alternatives in both quantitative and qualitative evaluations. The dataset and code can be available at: https://github.com/qiuxuanzhizi/QDIP-RED