bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blockchain-Based Remote Data Integrity Auditing Schemewith Deduplication Mechanism
Authors: Feng Shuai , Deng Lunzhi , Gao Yan , Wu Yaying , Wen Jian 
Published: April 2024

Abstract
Remote data integrity auditing (RDIA) schemes can inspect the integrity of outsourced data. Anddeduplication improves the utilization of cloud storage space. Therefore, a considerable number ofremote data integrity auditing schemes with deduplication mechanism (RDIA-DE) have been proposedby researchers. However, most of these schemes suffer from the following shortcomings. Initially,these schemes rely on honest and trustworthy third-party auditors (TPAs), which were difficult toachieve in reality. Additionally, the computational overhead of the proof-of-ownership (PoW) algorithmsincreases linearly with the number of challenged data blocks. In this paper, we put forward anovel RDIA-DE scheme based on blockchain. This scheme utilizes smart contracts to conduct dataintegrity audits, thereby eliminating the dependency on TPA and penalizing malicious cloud storageproviders. Subsequently, we provided security proofs under the random oracle model (ROM). Ultimately,we conducted a performance analysis on six RDIA-DE schemes. The results demonstrate thatthe new scheme enjoys significant efficiency advantages.
Assessment of joint configuration and welding parameters for the dissimilar joining of AISI 304L and AISI 410S stainless steels by the friction stir welding
Authors: Caetano Gerbson de Queiroz , Andrade Tathiane Caminha , Motta Marcelo Ferreira , Miranda Hélio Cordeiro , Farias Jesualdo Pereira , Bergmann Luciano Andrei , Santos Jorge F. dos , Silva Cleiton Carvalho 
Published: April 2024

Abstract
The FSW process parameters for dissimilar welding of AISI 410S and 304L steels were varied to provide a combination of good surface finish, no voids, and complete tool penetration. These findings have practical implications, as they can guide the welding industry in achieving optimal results. Preliminary tests were performed to analyse the proper position of the steels between the advancing and retreating sides. In welding, axial forces from 25 to 40 kN were applied, keeping the rotational speed constant at 450 rpm and the welding speed at 1 mm/s. Due to the differences between the physical and chemical properties of welded steels, a reduction in flash production and void formation along the stir zone is observed with the positioning of ferritic stainless steel AISI 410S on the advancing side. As the axial force increases, there is an increase in flash production, being more intense on the advancing side than on the retreating side. However, this increase in axial force decreases the material insertions' size and nullifies the joints' root flaws. It is possible to produce dissimilar joints between AISI 410S / 304L steels by the FSW process with a good surface finish and no defects in the stir zone.
A Core-Shell-Type Nanosystem Promotes Diabetic Wound Healing Through Photothermal-Responsive Release of Transforming Growth Factor β
Authors: Hou Jinfei , Jie Jiejun , Wei Xinwei , Shen Xiangqian , Zhao Qingfang , Chai Xupeng , Pang Hao , Shen Zeren , Wang Jinqiang , Wu Linping , Xu Jinghong 
Published: April 2024

Abstract

The treatment of diabetic wounds remains a major clinical challenge owing to bacterial infection, defects in angiogenesis, and the corresponding inhibition of cell activity and extracellular matrix deposition. In this study, a core-shell-type nanosystem was developed using graphdiyne (GDY) nanoparticles covered with gelatin to investigate its effects on diabetic wound healing. The nanoparticles were loaded with transforming growth factor β (TGF-β) via electrostatic self-assembly to promote angiogenesis and cell migration. The photothermal effects of GDY nanoparticles were applied to achieve controllable drug release and antibacterial properties. This nanosystem could rapidly release TGF-β after irradiation by near-infrared rays (NIR) without damaging its biological activities. The associated photothermal antibacterial activity was observed after 30 seconds irradiation of nanoparticles, and the temperature was set at a safe range (<49.6 °C). Besides, the gels possessed good biocompatibility and promoted cell migration in vitro. After implantation, the hydrogels group showed a higher wound healing rate than the control group in diabetic wound mouse models after 14 days and exhibited evident tissue regeneration, including angiogenesis and extracellular matrix deposition. This study presents a method for fabricating antibacterial wound dressings and an effective NIR-response strategy for designing drug-delivery nanosystems loaded with cellular factors.
Investigation on Effects of Training Schemes and Data Characteristics on Deep Learning-based Breast Cancer Classification
Authors: Pal Madhumita , Parija Smita , Panda Ganapati , Rath Adysha , Dash Sujata , Mallik Saurav , Qin Hong 
Published: April 2024

Abstract
Breast cancer (BC) is the most frequently diagnosed cancer among women, surpassing all other types of cancer in terms of prevalence. It affects both males and females, but women are at a greater risk of developing it. The lifetime probability of developing breast cancer for women is approximately 1 in 38. The focus of this study is to differentiate between benign and malignant breast cancer tumors using the fine needle aspiration (FNA) signal as the primary source of information. Four deep learning (DL) models, namely long short-term memory (LSTM), Gated recurrent unit (GRU), Deep belief network (DBN), and autoencoder (AE) have been utilized to achieve this goal. The proposed models have been trained and validated using two public breast cancer datasets: the Wisconsin Original Breast Cancer dataset (WBC) and the Wisconsin Diagnostic Breast Cancer dataset (WDBC). To establish a reliable model, three different types of training techniques have been utilized, including the 80:20 split, the 70:30 split, and the k-fold method. The experimental investigation incorporated three different data characteristics, namely balanced, less imbalanced, and extremely imbalanced data. The simulation-based experimental findings indicate that the LSTM model achieves high levels of accuracy, F1-score, and area under the curve (AUC) when applied to the two commonly used datasets. The WDBC dataset yields accuracy, F1-score, and AUC values of 0.98, 0.98, and 0.99, respectively, while the WBCD dataset yields values of 0.99, 0.99, and 1, respectively. These results were obtained using a 3-fold training scheme and balanced data. The LSTM model consistently outperforms the other three models, regardless of variations in datasets, training methods, and changes in data properties. The efficacy of the models can be evaluated by subjecting the deep learning models to bigger and varying degrees of unbalanced data samples, including both balanced and less skewed datasets. To further this study, we aim to explore the effectiveness of DL models in conjunction with an IoT system to improve breast cancer detection accuracy in online mode for patients residing in remote areas.
Management of Lobular Granulomatous Mastitis; Special Focus on Treatment Challenges in Patients with Hyperprolactinemia, Erythema Nodosum, and Diabetes, and Factors Associated with a Persistent Disease Course
Authors: Rad Mina Akbari , Firoozi Abdollah , Sheybani Fereshte , Sajjadi Samaneh , Emadzadeh Maryam , Kazerani Marzieh , Azimi Sajad Ataei , Mottaghi Mahdieh 
Published: April 2024

Abstract
Background
This study presents our observations on the management of patients with lobular granulomatous mastitis (LGM) in a cohort study. Additionally, characteristics associated with a longer disease course, as well as treatment challenges in patients with erythema nodosum, diabetes, and hyperprolactinemia would be discussed.
Methods
From 2015 to 2021, a total of 246 consecutive LGM patients referred to Ghaem teaching hospital, Mashhad, Iran, were treated and followed up every three months until complete symptom resolution. Treatment responses were categorized into five groups: complete resolution, incomplete resolution, resolution with subsequent relapse, no significant improvement, and treatment cessation. Telephone follow-ups were conducted with all patients at the end of the study in December 2022. The primary outcome was the response to treatment with prednisone or methotrexate (MTX). The secondary outcome was response to treatment by the last telephone follow-up.
Results
Among the initial 246 patients, 90 were excluded, and a total of 156 episodes were analyzed. Prednisone was administered to 136 patients, while oral MTX was prescribed to 48 cases. The median age of the cohort was 33 years (interquartile range [IQR], 29–38). The primary outcomes were as follows: Of those on prednisone, 57 (41.9%) achieved complete resolution, with 15 (11%) experiencing subsequent relapse, 33 (24.3%) showing no significant improvement, and 31 (19.9%) discontinuing treatment. Among the MTX recipients, 23 (47.9%) achieved complete resolution, while one showed incomplete resolution. The secondary outcomes were complete resolution in 139 (89.1%), incomplete resolution in nine (5.8%) showed, and 8 (5.1%) cases remained symptomatic. The median disease duration was 18 months (IQR, 7–36), with a median follow-up period of five years (IQR, 4–6). Abscess formation during treatment correlated with prolonged disease duration (p < 0.04), and higher plasma prolactin levels were associated with extended disease duration (p = 0.001). However, the disease course did not significantly differ in diabetic cases or those with erythema nodosum compared to others.
Conclusions
Over a median follow-up of five years, approximately 90% of LGM patients achieved complete resolution within a median course of 18 months. The presence of abscesses during treatment and elevated plasma prolactin levels were linked to longer disease duration.
Selective Anastasis Induction by Bee Venom in Normal Cells: A Promising Strategy for Breast Cancer Therapy with Minimal Impact on Normal Cell Viability
Authors: Tetikoglu Sinan , AKCAN Muharrem , UZUNER Ugur , UZUNER Selcen CELIK 
Published: April 2024

Abstract
Anastasis is a phenomenon recently described as cellular escape from induced apoptosis. Although its mechanism has not yet been fully elucidated, anastasis is thought to play a role in the development of drug resistance in cancer cells. However, no significant regulation of anastasis has been discovered in normal and cancerous cells during anti-cancer therapy. What is expected from current cancer treatment strategies is the development of drugs that can selectively attack cancer cells without negatively affecting normal cell proliferation. Therefore, this study is the first to evaluate whether bee venom, a natural cytotoxic agent, has similar selectivity in producing an anastatic effect compared to the cytotoxic agent cisplatin. The study showed that bee venom was effective on inducing anastasis in normal cells (MCF10A, NIH3T3 and ARPE19), but on the process of irreversible cell death in breast cancer cells (MDA-MB-231 and MCF7). On the other hand, liver cancer cells (HEPG2) were moderately more resistant to permanent cell death caused by bee venom and tended to recover at higher concentrations compared to breast cancer cells. However, cisplatin treatment caused permanent non-selective cell death in both normal and cancerous cells. In addition, it was determined that the selectivity indices based on IC50 values of bee venom were higher than cisplatin. Taken together, bee venom is effective at selectively inducing anastasis only in normal cells rather than cancer cells; This suggests that bee venom has significant potential in selective cancer therapy, especially breast cancer, by promoting the recovery and maintenance of viability of normal cells.
Identification of a novel member of the genus Laulavirus (family Phenuiviridae) from the entomopathogenic ascomycete fungus Cordyceps javanica
Authors: Andika Ida Bagus , Cao Xinran , Liu Bo , Pang Tianxing , Sun Liying , Kondo Hideki , Li Junmin , Wang Ziqi , Chi Shengqi 
Published: April 2024

Abstract
The virus family Phenuiviridae (order Bunyavirales, comprising segmented negative-sense single stranded RNA viruses) has highly diverse members that are known to infect animals, plants, protozoans and fungi. In this study, we identified a novel phenuivirus infecting a strain of the entomopathogenic fungus Cordyceps javanica, tentatively named Cordyceps javanica negative-strand RNA virus 1 (CjNRSV1). The CjNRSV1 genome consisted of three negative-sense single stranded RNA segments (RNA1–3) with lengths of 7252, 2401 and 1117 nt, respectively. The 3¢- and 5¢-terminal regions of the RNA1, 2, and 3 segments had identical sequences, and the termini of the RNA segments were complementary to each other, reflecting a common characteristic of viruses in the order Bunyavirales. RNA1 encoded a large protein (~274 kDa) containing a conserved domain for the bunyavirus RNA-dependent RNA polymerase (RdRP) superfamily, with 57–80% identity to the RdRP encoded by phenuiviruses in the genus Laulavirus. RNA2 encoded a protein (~79 kDa) with no conserved domain but showing identity (47–63%) to the movement protein (MP, a plant viral cell-to-cell movement protein)-like protein (MP-L) encoded by RNA2 of laulaviruses. RNA3 encoded a protein (~28 kDa) with a conserved domain for the phenuivirid nucleocapsid protein superfamily. Moreover, in phylogenetic analysis using the RdRPs of various phenuiviruses and other unclassified phenuiviruses, CjNRSV1 was grouped with established members of the genus Laulavirus. Our results suggest that CjNRSV1 is a novel fungus-infecting member of the genus Laulavirus in the family Phenuiviridae.
Backward wave optical parametric oscillation in a waveguide
Authors: Mutter Patrick , Laurell Fredrik , Pasiskevicius Valdas , Zukauskas Andrius 
Published: April 2024

Abstract
Backward wave oscillators (BWO) represent a class of tunable sources of electromagnetic radiation that do not require a resonant cavity to satisfy the oscillation condition. Electronic BWOs are widely used as high-power sources of microwave radiation. In the optical regime the backward wave optical parametric oscillator (BWOPO) rely on a conceptually similar principle between counter-propagating electromagnetic waves, where a nonlinear interaction provides the positive feedback required for oscillation. The unique properties of the BWOPO have so far been shown in bulk second-order nonlinear crystals only, but the absence of an optical resonator makes the BWOPO concept naturally suitable for integration in a waveguide format. Here, we demonstrate the first waveguide BWOPO, showcasing an oscillation threshold nearly 20 times lower than the corresponding bulk device, and exhibiting low loss (0.2 dB/cm). The backward wave has a narrow linewidth of 21 GHz at 1514.6 nm, while the forward wave at 1688.7 nm has a broadband spectrum replicating that of the pump. A conversion efficiency of 8.4% was obtained.
Optimal Power Management and Robust Control Scheme for AC-DC Microgrid Involving Renewable and Conventional Sources
Authors: Buduma Parusharamulu , Pal Amrindra , Kumba Krishna , Gundu Venkateswarlu 
Published: April 2024

Abstract
Hybrid AC-DC Microgrid systems have recently emerged as a promising method for connecting AC loads with AC Microgrids (ACM) and DC loads with DC Microgrids (DCM). The Bidirectional Power Converter (BPC) allows the AC-DC Microgrid to distribute power between the ACM and DCM. Effective supervisory power sharing and robust control methods are needed to share power among the AC-DC Microgrid sources and ensure seamless operation during different uncertain conditions. Also, suitable islanding and grid synchronisation techniques are needed to connect and disconnect the Microgrid with the utility grid seamlessly. In this study, an Optimal Power Management Strategy (OPMS) is considered for the sharing of power among the sources. To implement the OPMS, an equivalent robust optimization problem for a restricted data set is used. The goal of optimization is to distribute power while maximizing the use of renewable energy, minimizing the use of conventional energy, and using minimal energy transfer through the BPC. To achieve robust tracking commitment and robust control during the parameter uncertainty, a nested loop Robust Control Scheme (RCS) is proposed. A Mixed H ∞ /H 2 Optimal (MO) controller is used in the outer loop of the RCS, while a Robust LQR (RLQR) optimal controller is used in the inner loop, the nested loop control scheme is described as MORLQR controller. An Optimal Linear Kalman filter-based SRFPLL (OLKF-SRFPLL) is proposed to achieve grid synchronization. To implement islanding detection, a Synchro-Extraction Transform along with an Optimal Support Vector Machine (SET-OSVM) classification is considered. Considering different operational conditions and uncertainty scenarios, the performance and robustness of the proposed AC-DC Microgrid with proposed power-sharing and control in both GCM and IMs and during the transition between both modes is analyzed using MATLAB/SIMULINK.
Administration of a Recombinant Secretory Leukocyte Protease Inhibitor Prevents Aortic Aneurysm Growth in Mice
Authors: Yamawaki-Ogata Aika , Mutsuga Masato , Narita Yuji 
Published: April 2024

Abstract
Aim
Pharmacological interventions to inhibit the progression of aortic aneurysm (AA) have not yet been established. We previously reported that mesenchymal stem cells (MSCs) provide a potential foundation for less-invasive treatment of AA. Here, we investigated secretory proteins from MSC supernatants to clarify the therapeutic effects of MSCs. Furthermore, we treated AA mice with two anti-inflammatory proteins from among these secretory proteins to confirm their therapeutic effects.
Methods and Results
Protein profiles of MSC-secreted factors were analyzed using protein microarrays, and two anti-inflammatory proteins, namely progranulin (PGRN) and secretory leukocyte protease inhibitor (SLPI), were identified. Apolipoprotein E-deficient mice were continuously infused with angiotensin II via osmotic pump for 4 weeks to induce AA formation, and then recombinant rPGRN and/or rSLPI were administered intraperitoneally. Mice were sacrificed at 8 weeks, and aortas were analyzed for protein expression and also stained with Elastica van Gieson and with immunofluorescence to detect macrophages. Intraperitoneal administration of rSLPI inhibited AA growth more than rPGRN alone or combined rPGRN and rSLPI, by inducing the following effects: downregulation of inflammatory cytokines and chemokines, specifically IL-1β, IL-6, TNF-α, and MCP-1; reduced of NO production; decreased phosphorylated NF-κB levels; and less of elastin destruction and macrophage infiltration.
Conclusions
We identified anti-inflammatory proteins, including PGRN and SLPI, in MSC supernatants, and administration of rSLPI inhibited AA progression in mice. Protein-based therapies using SLPI could be an alternative, less-invasive treatment for AA.
Mycotic Superior Mesenteric Artery Pseudoaneurysm Following Infective Endocarditis in a Patient with Rheumatic Heart Disease: A Case Report
Authors: Almadwahi Nabeel Y. , Al-Hashedi Aref , Jowah Haitham Mohammed 
Published: April 2024

Abstract
This case report presents a rare case of a 25-year-old female patient with a known history of rheumatic heart disease who developed a pseudoaneurysm of the superior mesenteric artery (SMAPA) after infective endocarditis (IE). The patient presented with chest pain, shortness of breath, and fever, and was diagnosed with IE and severe mitral valve regurgitation (MVR). After receiving appropriate medical treatment for six weeks, the patient developed a vague and dull abdominal pain, initially attributed to septic emboli of the mitral valve vegetations. However, subsequent evaluation revealed a mycotic SMAPA, which was treated with open surgical repair due to unfavorable anatomical characteristics and infectious etiology. This case highlights the importance of maintaining a high level of clinical suspicion of mycotic pseudoaneurysms in patients with risk factors and the importance of using CTA as the gold standard imaging modality for accurate patient evaluation.
Pattern and management outcome of acute abdomen and review of the role of task-sharing in leku general hospital,sidama,Ethiopia
Authors: Kibret Asfaw , Lema Chernet , Assefa Tesfahun , Tafesse Behailu , Gebeyehu Natnael 
Published: April 2024

Abstract
Background; acute abdomen is one of the surgical emergency of abdominal disease presented with sudden onset abdominal pain and often needs urgent surgical intervensions.Its pattern varies worldwide. In low income countries like Ethiopia the surgical workforce is still unmet but strategies like the integrated emergency surgery program was one of the successful task shifting and task sharing strategy which saved the life of many which need emergency surgical intervention.
Objective; the aim of this study was to assess the pattern ,outcome of management of non traumatic acute abdomens and the role of task shifting in leku general hospital,Sidama,Ethiopia
Methods; this was a three years retrospective cross-sectional study conducted at Leku general hospital in sidama region southern part of Ethiopia.The study populations were patients operated in the Leku general hospital for diagnosis of non-traumatic acute abdomen from august 2021 GC to august 2023Gc.Data were collected by checklists and analyzed by SPSS descriptive statistics.
Result; in the study period it was found 225 operated cases for indication of non traumatic acute abdomen.Majority of the cases were male (161) and 64 were female making male to female ratio 2.5 :1.The age ranges from 4yrs to 80 years.Majority of the cases fall in the 2nd and 3rd decades of age.Most of them were rural dwellers.Most patients arrived after 24hrs of pain.The mostfrequent acute abdominal case in Leku general hospital found in the study was appendicitis(46.2%) followed by bowel obstruction(34.2%).Small bowel volvulus was the common cause for small bowel obstructionMost of the acute abdomen cases(84.9%) were operated by integrated emergency surgery professionals(IESO) .From the 88 bowel related emergency operations 47.% of them needed resection and anastomosis.The mortality rate in the study was found 2.2%
Conclusion; the leading cause of acute abdomen was found appendicitis.Majority of the cases were operated by IESO and their role were remarkable in this general emergency surgery interventions.The fatality rate was 2.2% this was lower than other studies in the country
Comparative analysis of specific resistivity and phase angle among individuals of different age groups
Authors: Luna Taira Batista , Bello José Luis García , Carbonell Agustín Garzón , Lafargue Alcibíades Lara , Ciria Héctor Manuel Camué , Montoya Ana de la Caridad Román 
Published: April 2024

Abstract
The Bioelectrical Impedance Analysis method can determine the phase angle, which has a significant predictive value for an individual's survival. This parameter also helps to diagnose clinical status and predict nutritional status. The aim of this article is to determine whether specific resistivity is an experimental bioelectrical parameter characteristic of a healthy Cuban population, regardless of their age and sex. The study involved 3370 healthy individuals of both genders and six patients with various pathologies. The bioelectrical parameters of electrical bioimpedance, phase angle, and specific resistivity were determined. The results show that individuals with associated pathologies had lower mean values of specific resistivity than those of the healthy population, and there was a lower dispersion than that obtained for the phase angle. The main conclusion is that specific resistivity could be used as a survival and life quality predictor, just like the phase angle. However, more studies are needed to confirm this.