bluuebunny/crossref_metadata_2025_split huggingface dataset:
Towards Improving Aspect-Oriented Software Reusability Estimation
Authors: Magableh Aws A. , Saifan Ahmad A. , Rawashdeh Adnan , Ata Hana’a Bani 
Published: July 2023

Abstract

Nowadays, large numbers of organizations may prefer Aspect-Oriented Programming (AOP), which is an enhancement to Object-Oriented Programming (OOP). This is due to the concepts that have been added and helped in producing more flexible and reusable components. As a result, AOP has directed attention to software reuse, which is a significant topic for researchers and offers several advantages for organizations. Software reuse is based on reusability attributes which indicate the possibility of a component that was built to be reused in developing a new system. It is one of the most essential attributes to evaluate the quality of a system’s components. Many models have been built to estimate the reusability of the software but most of them are not dedicated to Aspect-Oriented Software (AOS). This study aims to establish a ground for AOS reusability estimation and measurement based on a new model and its associated equations depending on six attributes that impact AOS reusability negatively and/or positively. Four attributes of them have been included in previous studies which are coupling, cohesion, design size, and messaging. Two new attributes have been proposed in this study, which are complexity, and generality. Both of these attributes have been measured based on the metrics that have also been proposed in this study. A new equation to calculate AOS reusability has been proposed in this research work. Seven Aspect projects have been employed as a case study to apply the proposed equation.
Mitochondrial and cellular function in fibroblasts and reprogrammed neural cells: insights into major depression as a mitochondria-associated disease
Authors: Wetzel Christian , Cardon Iseline , Grobecker Sonja , Kücükoktay Selin , Bader Stefanie , Jahner Tatjana , Nothdurfter Caroline , Koschitzki Kevin-Thomas , Berneburg Mark , Stöhr Heidi , Weber Bernhard , Höring Marcus , Liebisch Gerhard , Braun Frank , Rothammer-Hampl Tanja , Riemenschneider Markus , Rupprecht Rainer , Milenkovic Vladimir 
Published: July 2023

Abstract
The neurobiological underpinnings of major depressive disorder (MDD) remain still elusive. Meanwhile, mitochondria and energy metabolism turn into focus as relevant pathomechanisms of MDD. To gain further insight on the role of mitochondria function in MDD, in the present work, we examined the functional cellular and mitochondrial properties in cells derived from two specific patients, diagnosed as suffering from a mild form of mitochondriopathy with unknown cause, and an antidepressant non-responding MDD patient and compared these patients to a cohort of MDD and control subjects. Using skin biopsies of the two patients as well as non-depressed healthy controls, we obtained dermal fibroblasts and generated iPSCs, neural progenitors, neurons, and astrocytes. Notably, we observed that cellular and mitochondrial functions and neuronal electrophysiology in the mitochondriopathy patient resembled findings in the MDD cohort. This included decreased respiration, mitochondrial membrane potential (MMP) and depolarized resting membrane potential, associated with smaller sodium currents. In contrast, cells derived from the non-responder MDD patient were affected in an opposite manner in many of the measured parameters, including increased respiratory rates, mitochondrial calcium, and lower resting membrane potential. However, in all patient cells we consistently observed a smaller cell size compared to healthy controls. Our findings revealed marked similarities between the mitochondriopathy patient and the MDD cohort, supporting the hypothesis that mitochondria play a significant role in the pathophysiology of depression. The overall opposite functional phenotype of the non-responder patient pointed towards distinct or counterregulatory mechanisms involved in the etiology and/or treatment resistance of depression in this patient and emphasized the importance of investigating depression-related phenotypes from different disease entities to gain a more comprehensive understanding of the pathology of MDD.
Routes of Introduction of Anopheles gambiae Into Remote Islands in the Indian Ocean
Authors: Ditter Robert E. , Campos Melina , Crepeau Marc W. , Pinto João , Toilibou Ali , Amina Yssouf , Lee Yoosook , Cornel Anthony J. , Lanzaro Gregory C. 
Published: July 2023

Abstract
The malaria vector Anopheles gambiae s.s., is a primary malaria vector throughout sub-Saharan Africa including the islands of the Comoros archipelago (Anjouan, Grande Comore, Mayotte and Mohéli). These islands are located at the northern end of the Mozambique Channel in eastern Africa. Previous studies have shown a relatively high degree of genetic isolation between island and mainland populations of A. gambiae, but the origin of the island populations remains unclear. Here, we analyzed phylogenetic relationships among island and mainland populations using complete mitochondrial genome sequences of individual A. gambiae specimens. We investigated the source population of A. gambiaefor each island, determined the number of introductions and estimated when they occurred, and explored evidence for contemporary gene flow between island and mainland populations. Phylogenetic analysis and haplotype networks were constructed from mitogenome sequences of 258 A. gambiae from the four islands. In addition, 112 individuals from seven countries across sub-Saharan Africa and Madagascar were included to identify potential source populations. Our results suggest that introduction events of A. gambiae into the Comoros archipelago were rare and recent events and that there is no evidence of contemporary migration between the islands and mainland Africa. This study further supports the suitability of these oceanic islands as appropriate sites for conducting field trial releases of genetically engineered mosquitoes (GEMs).
Decentralized Convex Optimization on Time-Varying Networks with Application to Wasserstein Barycenters
Authors: Yufereva Olga , Persiianov Michael , Dvurechensky Pavel , Gasnikov Alexander , Kovalev Dmitry 
Published: July 2023

Abstract

Inspired by recent advances in distributed algorithms for approximating Wasserstein barycenters, we propose a novel distributed algorithm for this problem. The main novelty is that we consider time-varying computational networks, which are motivated by examples when only a subset of sensors can make an observation at each time step, and yet, the goal is to average signals (e.g., satellite pictures of some area) by approximating their barycenter. We embed this problem into a class of non-smooth dual-friendly distributed optimization problems over time-varying networks, and develop a first-order method for this class. We prove non-asymptotic accelerated in the sense of Nesterov convergence rates and explicitly characterize their dependence on the parameters of the network and its dynamics. In the experiments, we demonstrate the efficiency of the proposed algorithm when applied to the Wasserstein barycenter problem.
A Reliable Cloud Communication System Using Attribute-Based Cryptography
Authors: CHANDRAKASAN BHARANIDHARAN , V SATHYA , SUBRAMANIAN MALATHI , M RAJAKUMARAN 
Published: July 2023

Abstract

Cloud communication systems are increasingly being used to store and exchange sensitive information. However, ensuring the confidentiality and integrity of data in the cloud remains a significant challenge. Attribute-based cryptography (ABC) has emerged as a promising solution for secure cloud communication. It allows data to be encrypted and accessed based on a set of user-defined attributes. This paper proposes a reliable cloud communication system that leverages attribute-based cryptography to provide secure and efficient data storage and retrieval.
The proposed system employs a hybrid encryption scheme, combining symmetric and attribute-based encryption, to achieve both efficiency and security. Data is first encrypted using symmetric encryption, ensuring fast and secure transmission to the cloud. Then, the symmetric key is encrypted using attribute-based encryption, which enables fine-grained access control and allows only authorized users with specific attributes to decrypt the data.
To enhance the reliability and availability of the system, data is replicated across multiple cloud servers using erasure coding. This redundancy ensures data durability and enables efficient data recovery in case of server failures or data corruption. Additionally, the system incorporates secure data deduplication techniques to optimize storage utilization and reduce network bandwidth consumption.
Circulating Tumor DNA-Based Copy-Number Profiles Enable Monitoring Treatment Effects During Therapy in High-Grade Serous Carcinoma
Authors: Nguyen Mai T.N. , Rajavuori Anna , Huhtinen Kaisa , Hietanen Sakari , Hynninen Johanna , Oikkonen Jaana , Hautaniemi Sampsa 
Published: July 2023

Abstract
Background
Circulating tumor DNA (ctDNA) analysis has emerged as a promising tool for detecting and profiling longitudinal genomic changes in cancer. While copy-number alterations (CNAs) play a major role in cancers, monitoring treatment effects using copy-number profiles has received limited attention compared to mutations. This is primarily due to the challenge of CNA analysis for real-life tumor-fraction ctDNA samples.
Method
Our study aimed to investigate the longitudinal copy number profiles of ctDNA and assess the role of ctDNA samples, even with low tumor fractions, in monitoring cancer treatment. We conducted copy-number analysis on 152 plasma samples collected from 29 patients diagnosed with high-grade serous carcinoma (HGSC). Our sequencing panel targeted more than 500 genes, enabling a comprehensive evaluation of genomic changes. Among the patients, 21 individuals had matched tissue and plasma samples collected at different time points, allowing us to assess the concordance between tissue and plasma and to evaluate the sensitivity of our approach using Kendall correlation values. Statistical comparisons were performed using the Wilcoxon rank test to ensure the robustness of the findings.
Result
Our approach successfully detected concordant CNA profiles in most plasma samples, even with tumor content as low as 3%. Additionally, highly amplified regions were identified in samples with approximately 1% tumor content. Longitudinal analysis revealed changes in CNA profiles in seven out of 11 patients with high tumor-content plasma samples at relapse. These changes included focal acquired or lost copy numbers, whereas the majority of the genome remained stable. Two patients displayed significant changes in their copy-number profile during therapy. Our analysis uncovered ctDNA-detectable subclonal selection resulting from surgery and chemotherapy.
Conclusion
Overall, our study demonstrated acquired and diminished CNAs at relapse compared with pre-treatment samples, highlighting the dynamic nature of CNA profiles during treatment. These findings provide compelling evidence for the potential of ctDNA analysis in tracking treatment responses and detecting genomic changes associated with relapse. Monitoring CNAs can serve as a complementary tool to understand cancer cell evolution and treatment efficacy.
Paclitaxel Suppressed N6-Methyladenosine of PUM1 offsets cetuximab resistance in colorectal cancer
Authors: Liu Qi-zhi , Yu Hai-rong , Zhou Min-jun , Chen Zhuo , Zhou De-hua , Chen Jun-yi , Zhang Nan , Huang Zhen-xing , xie yu-xiang , tu xiaohuang 
Published: July 2023

Abstract
Background
We have previously demonstrated that RNA-binding protein Pumilio-1 (PUM1) is ubiquitous in cetuximab-resistant colorectal cancer (CRC) cells. The role of the N6-methyladenosine modification of PUM1 influenced by paclitaxel (PTX) in modulating cetuximab-resistance in CRC cells was investigated in the current work.
Methods
PUM1 mRNA expression in CRC tissues and cells was measured by quantitative real-time PCR (qRT-PCR), and PUM1 protein expression was measured by immunohistochemistry (IHC). The involvement of PUM1 expression in CRC prognosis was evaluated by survival analysis. RNA immunoprecipitation (RIP) was performed to evaluate combination capability of PUM1 and YTHDF1. RNA m6A dot blot assays were conducted to investigate variations in the degree of the METTL3-induced N6-methyladenosine modification of PUM1. Patient derived tumor xenograft (PDX) models to investigate the regulatory role of paclitaxel inhibited N6-demethyladenosine modification of PUM1 and diminished PUM1 mRNA level.
Results
The N6-methyladenosine content of PUM1 was increased in CRC by cetuximab treatment and increased PUM1 mRNA stability (P < 0.05). PUM1 induced monocyte-to-macrophage differentiation of CRC cells during in vitro functional assays and activated the WNT axis by enhancing DDX5 expression (P < 0.05). Paclitaxel increased PUM1 N6-demethyladenosine levels and decreased PUM1 expression (P < 0.05), resulting in suppression of the WNT pathway. Paclitaxel also reduced PUM1-induced cetuximab-resistance in CRC cells. CRC xenografts from human patients had enhanced m6A modification of PUM1 in paclitaxel-treated samples (P < 0.05) shown by ex vivo studies. In clinic, high PUM1 levels in CRC patients correlated with elevated TAM content and poor survival (P < 0.05).
Conclusion
Inhibition of N6-methyladenosine modification of PUM1 is proposed as a novel therapeutic target to overcome cetuximab-resistance in CRC.
Human Postural Responses to Artificial Gravity Training
Authors: Saveko Alina , Koloteva Milena , Tomilovskaya Elena 
Published: July 2023

Abstract
Short-radius centrifugation (SRC) is a promising and economically feasible countermeasure in space flight and applies to gravity therapy in terrestrial medicine. The potential occurrence of undesirable orthostatic and vestibular reactions limits the use of this method. One way to minimize these risks is the ability of a human to adapt to the effects of overload. It is known that artificial gravity training may improve orthostatic tolerance. New data demonstrated that cardio-postural interactions and muscle-pump baroreflex activation are present during short-arm centrifugation. Based on previous studies, we hypothesized that repeated SRC in the interval training mode with angular velocities from 22 to 28 rpm may also improve postural tolerance. Six healthy male volunteers were observed before and immediately after five consecutive SRC sessions. The rest between SRC was at least three days. The SRC mode was an interval and included five 300-second platforms with 1.27 g at the feet and four 300-second platforms with 2.06 g at the feet. We registered the main postural characteristics and ground reaction forces data when the participant kept the center of pressure at a given point in a standing position with biofeedback and without this. After the first SRC session, there was a significant posture decondition. The SRC training effect was already noticeable after the second SRC session and was stable until the end of the experiment. The results demonstrate the development of postural tolerance to artificial gravity exposure in this mode and expand the understanding of sensorimotor adaptation capabilities.
Swarming magnetic surface microrollers enable directed locomotion in circular confinements
Authors: Bozuyuk Ugur , Han Mertcan , Sitti Metin 
Published: July 2023

Abstract

Microrobots are always envisioned to operate in confined spaces in the human body or microfluidic chips. Among the various microrobotic platforms, magnetic surface microrollers have emerged as versatile option due to their robust locomotion and ease of fabrication. Still, the locomotion of spherical magnetic surface microrollers is challenging in confinements as their rotational flows severely impede their translational locomotion. Particularly, their locomotion in circular confinements presents an even greater challenge, as their translational direction reverses when they function as individual microrollers. Nevertheless, their locomotion dynamics could differ whether they travel as a single or swarming unit. Swarming, in general, is known to render hydrodynamic advantages to microrobots which could also be useful for surface microrollers to locomote in confined spaces. Here, we investigated the locomotion of swarming microrollers in circular confined spaces in a computational fluid dynamics environment. We observed that a group of microrollers can locomote in desired translational locomotion direction, while a single microroller performs reverse locomotion. Furthermore, we performed a showcase experiment demonstrating the observed effect in computational fluid dynamics simulations. In summary, our research outcomes offer a profound understanding of the underlying physical mechanisms that govern the locomotion of surface microrollers.
Assessment of Corrosion Resistance Potentials in welded and tempered UNS G10400 Carbon steel in seawater environment
Authors: Okuma Silas Oseme , Oreko Benjamin Ufuoma 
Published: July 2023

Abstract

Welded joints sometimes exhibit poor corrosion resistance, due to variation in chemical composition at the weld surface or Heat Affected Zone (HAZ), induced stress and the microstructure formation. There is a need to enhance welds corrosion resistance and microstructural properties of such joints through post weld tempering (PWT). In this study, PWT effect on the corrosion resistance and microstructure properties of UNS G10400 carbon steel was investigated. The UNS G10400 samples, were cut to the desired dimensions, welded by means of electric metal arc welding process and subjected to PWT, at 550ºC, 650ºC, and 700ºC, for 1 h, respectively. The samples were immersed in seawater environment and its corrosion resistance and microstructure properties were then evaluated, using gravimetric technique, Open Circuit Potential (OCP), Potentiodynamic Polarization (PDP), Electrochemical Impedance Spectroscopy (EIS) and Scanning Electron Microscope (SEM)/ Energy-Dispersive X-ray Spectroscopy (EDX), respectively. The findings show that the post-weld tempered (PWT) samples exhibited higher corrosion resistance compared to the as-welded samples. The corrosion rate values are 0.1351, 0.06331, 0.06271 and 0.01578mm/year for as-welded, PWT-5500C, PWT-6500C and PWT-7000C samples respectively. The SEM/EDX images of PWT samples revealed an increased in grain size, forming a tempered martensite. These results are due to re-crystallization and grain growth resulting from post-weld tempering. Therefore, an appropriate post weld tempering for UNS G10400 carbon steel welded joints is recommended for advanced industrial applications.
Multi-Threshold Segmentation of Breast Cancer Images Based on Improve Dandelion Optimization Algorithm
Authors: Wang Zhenghong , Yu Fanhua , Wang Dan , Hu Rongjun 
Published: July 2023

Abstract
The complex structure and blurry cell boundaries in breast cancer histopathological tissue images under a microscope pose challenges for accurate segmentation using traditional thresholding methods. To address the problem of accurately separating lesion areas in breast cancer images, this study proposes a multi-threshold segmentation method based on the Enhanced Dandelion Optimization algorithm (IDO).The proposed method incorporates the concept of opposite-based learning and utilizes IDO to compute the maximum between-class variance (OTSU) as the objective function. It also establishes fallback strategies and a memory matrix while combining the golden jackal energy judgment mechanism to search for the optimal thresholds. Experimental comparisons are conducted by applying IDO algorithm along with Harris Hawks Optimization (HHO), Gorilla Troops Optimization (GTO), traditional Dandelion Optimization (DO), and Marine Predators Algorithm (MPA) using the same thresholds for image segmentation. The performance analysis is based on four metrics: Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Feature Similarity Index (FSIM), and Mean Squared Error (MSE), as well as their fitness function curves.The experimental results demonstrate that the Enhanced Dandelion Optimization algorithm outperforms other algorithms in terms of PSNR, SSIM, FSIM, and MSE segmentation metrics. It exhibits faster convergence and effectively resolves the segmentation problem.
A Two-tier Multi-objective Service Placement in Container-based Fog-Cloud Computing Platforms
Authors: Dogani Javad , Yazdanpanah Ali , Zare Arash , Khunjush Farshad 
Published: July 2023

Abstract
Using cloud computing for Internet of Things (IoT) applications necessitates the transmission of all data to the centralized structure of the cloud, thereby leading to an increase in network traffic and service time. Consequently, cloud computing proves impractical for latency-sensitive IoT applications. Fog computing, acting as an intermediate layer between the cloud and IoT, ensures low latency for such applications. The service placement problem, an NP-hard problem that determines which node should host each service, represents one of the major challenges in the fog computing paradigm. While lightweight containers have emerged as a highly efficient virtualization approach, prior research predominantly employed traditional VM-based architecture for service placement in fog computing. Therefore, this study introduces a multi-objective optimization approach for dynamic service placement in container-based fog computing, accounting for cost, latency, and energy consumption. Specifically, we propose a two-tier framework for resource management in fog computing based on Kubernetes. The multi-objective non-dominated sorting genetic algorithm II (NSGA-II) algorithm balances conflicting performance objectives, such as latency, cost, and energy consumption. Empirical results demonstrate that the proposed method outperforms existing state-of-the-art methods.
Decisional conflict is associated with quality of life and mental health in patients with inflammatory bowel disease
Authors: 谢 华兵 , zhang jixiang , liu chuan , zhen junhai , yang bingxiang , gao yuanyuan , weiguo dong 
Published: July 2023

Abstract
Purpose
Inflammatory bowel disease (IBD) patients are usually provided with multiple treatment options with different risks and benefits. This study aimed to assess the quality of decision-making in IBD patients concerning treatments, investigate the relationship between Shared decision-making (SDM) and decision conflict and health outcomes in patients with IBD, and explore the possible factors related to high decisional conflict in patients with IBD.
Methods
We conducted a cross-sectional, multicenter study. Patients were grouped according to their actual decision-making role and the level of decisional conflict. Propensity score analysis matched the two groups of patients 1:1 according to different factors. The main measures assessed included decisional conflict, decision regret, compliance, quality of physician communication, satisfaction, quality of life, anxiety, depression, and sleep disturbance. Multiple logistic regression was used to evaluate the factors affecting decisional conflict.
Results
Patients in the SDM group had a high awareness of the disease, and the impact of decision conflict and disease on work and learning was also low. The actual decision roles, physician communication quality, and disease activity may be independent factors affecting the decisional conflict. DCS was negatively correlated with the patient’s compliance and satisfaction with physician explanations and treatment and positively correlated with DRS, anxiety, depression, sleep disturbance, and SHS (all P <0.05).
Conclusion: SDM is beneficial for improving the quality of decision making in patients with IBD. It is necessary to improve decisional conflict in IBD patients because it is closely related to patients' quality of life and mental health.