bluuebunny/crossref_metadata_2025_split huggingface dataset:
Arsenic sulfide Triggers Ferroptosis in Hepatocellular Carcinoma Cells via TRPC6/GPX4 Signaling
Authors: Lu Shumin , Cai Yu , Kang Ting , Zhu Chuanying , Feng Zhuowei , Chen Shuxian , Chen Siyu 
Published: October 2023

Abstract
Ferroptosis plays a vital role in the pathological process of numerous human diseases, including cancer. It is possible that ferroptosis stimulation could be used as a cancer treatment strategy. Due to this, ferroptosis-inducing drugs are gaining more attention for the clinical treatment of tumors. For the first time, we demonstrated that arsenic sulfide (As4S4) initiated ferroptotic cell death in hepatocellular carcinoma (HCC) cells, which was concomitant with ROS accumulation, lipid peroxidation, and GSH depletion. Arsenic sulfide -mediated cell death in HCC cells was blocked by ferroptosis inhibitors ferrostatin-1 (Fer-1) and deferoxamine (DFO, an iron chelator), but not Z-VAD-FMK, necrosulfonamide, or chloroquine, suggesting that ferroptosis participated in arsenic sulfide -induced cell death. Transient receptor potential channel 6 (TRPC6) expression was notably inhibited under arsenic sulfide intervention and the overexpression of TRPC6 rescued the effects of arsenic sulfide on ferroptosis. Furthermore, glutathione peroxidase 4 (GPX4), was identified to interact with TRPC6 through confocal microscopy images and co-immunoprecipitation assay. In summary, arsenic sulfide exerts anticancer effects on HCC in vitro and in vivo by inducing ferroptosis via inhibiting TRPC6/GPX4 pathway. Our findings led us to conclude that arsenic sulfide could be considered as a prospective drug for liver cancer treatment.
Laparoscopic tumorectomy for an unusual pelvic retroperitoneal leiomyoma: a case report.
Authors: Pace Marco , Moretti Marco , Tierno Simone Maria , Mazzotta Alessandro Dario , Ferroni Andrea Felice , Paolo Marco Di Giovan , Gianfreda Valeria , Bianca Salvatore , Barbarosos Apostolos , Vitelli Carlo Eugenio , Boninfante Michelangelo , Stipa Francesco 
Published: October 2023

Abstract
Introduction:
Leiomyomas are benign tumors, mostly located in the uterus. The pelvic localization is quite rare and it is associated with unusual growth patterns. It is important make an adequate differential diagnosis between malignant and benign retroperitoneal neoplasm because treatment is different. When it is not possible to have a precise preoperative diagnosis, a laparoscopic or laparotomy surgical tumorectomy is often required. To obtain a certain diagnosis, the goal of surgery is ensuring the complete excision of neoplasms and preservation of urination, defecation and sexual function.
Case presentation:
We report a rare case of a 58-year-old woman who underwent a laparoscopic tumorectomy for a pelvic retroperitoneal leiomyoma. The patient reported occasional episodes of dull pain in the pelvic region. Pelvic contrast CT scan and Magnetic Resonance Imaging (MRI) showed a retroperitoneal solid mass in contiguity with the posterior wall of the uterine body-isthmus, to be referred to a pedunculated uterine fibroma strictly posteriorly adherent to the sigma. She was first underwent to explorative laparoscopy by Gynecologist who did not find any uterine mass. The patient was subsequently admitted to Department of General Surgery and has done a second operative laparoscopy which highlighted the presence of an extra-peritoneal para-rectal mass which was completely excised. The histological examination of tumor indicated that it was a leiomyoma. The postoperative course was uneventful and the patient was discharged in III post-operative day (POD).
Professional Values Education for Undergraduate Nursing Students: Developing A framework based on the professional values growth theory
Authors: Li Jialin , Li Xiaohan 
Published: October 2023

Abstract
Background: Education has been recognised as necessary in forming and internalising professional values. The system and teachers' content in existing educational institutions focus on developing students' knowledge, skills and practices. Still, the development of values has yet to achieve significant effects, leading to a crisis in students' professional identity.
Aims: To construct a professional values growth theory for undergraduate nursing students and develop a corresponding education framework.
Methods: Through the review, some English databases were searched using a systematic search strategy to collect relevant literature on professional values education. Based on the nursing professional values growth theory(Jialin Li, 2022), a theory of professional values growth of nursing undergraduates was developed using the method of theory derivation. Two rounds of expert meetings were conducted to review and revise an education framework of professional values of nursing undergraduates derived from that theory.
Findings: A total of 10 studies were included. The contents of two themes were analysed: theories and models and the current status of the professional values development of nursing students. The resulting professional values growth theory for undergraduate nursing students consists of five parts: key aspects, decisive opportunities, drivers, expressions (humanistic sentiments, moral emotions), and outcomes. A total of five experts in the relevant fields were invited to this study. After two rounds of expert meetings, an education framework for undergraduate nursing students was finally developed, which consists of four parts: education objectives, education process and content, environment and conditions, and evaluation.
Conclusion: The education framework developed in this study has practical implications for the development of professional values of undergraduate nursing students, providing educational strategies and methods for the growth and internalisation of professional values of undergraduate nursing students.
Assessment of Technological Performance Parameters in Intermittent Turning and Multi-Response Optimization of Cutting Conditions using DF, MOORA, VIKOR, and NSGAII coupled with VIKOR Methods
Authors: khelfaoui fethi , YALLESE Mohammed Athmane , BOUCHERIT Septi , OUELAA Nourdine , BELHADI Salim , Salem Sahbi Ben 
Published: October 2023

Abstract
The objective of this study is to evaluate the influence of input factors such as cutting speed (Vc), depth of cut (ap), feed rate (f), and tool nose radius (r) during intermittent turning (IT) of AISI D3 tool steel. Eight (08) output parameters were considered: motor power (Pm), cutting temperature (Ct), flank wear (VB), material removal rate (MRR), surface roughness (Ra), cutting force (Fz), tangential vibration (Az), and sound intensity (Lp). The experiments were conducted using the Taguchi L9 (3^4) design with a triple-coated CVD carbide tool. A statistical analysis based on ANOVA was performed to quantify the effects of cutting factors on the output parameters. Processing the results using the RSM method enabled the development of mathematical models for different outputs, facilitating predictions. Finally, four (04) multi-objective optimization approaches were employed: DF, MOORA, VIKOR, and NSGA-II coupled with VIKOR, aiming to determine the optimal combination of cutting conditions. The four methods were analyzed and compared. The results obtained indicate that the DF approach suggests the best combination of inputs leading to the minimization of six (06) outputs (Ra, Pm, Ct, VB, Fz, and Lp). The MOORA approach emphasizes the minimization of vibrations (Az), while VIKOR yielded five outputs (Pm, VB, Ct, MRR, and Lp) that are better compared to the MOORA approach. The NSGA-II coupled with VIKOR approach exhibited the best productivity values (MRR).
The effect of substrate type on microscopic epibiont community diversity: A shoreline study from the Sea of Japan at Niigata, Japan
Authors: Kanavillil Nandakumar , Takada Y 
Published: October 2023

Abstract

Microscopic epibionts are an important component of intertidal ecosystems. Shortage of space drives these organisms to settle and grow on body/shell surfaces of intertidal organisms. In this study we test the hypothesis that epibiont communities vary significantly between shells belonging to different invertebrate species, and between natural shells and plastic surfaces. Epibiont community variations are caused by differences in shell size, roughness and mobility of the host organisms. Epibionts growing on fifteen different species belonging to Gastropoda, Bivalvia, Polyplacophora and Echinoidea, as well as plastic objects were collected from a rocky shore of the Sea of Japan at Niigata. Most epibionts collected were diatoms, and the highest epibiont density was recorded on the surfaces of the limpetCellana toreuma. The results showed epibiont species richness, diversity and density varied significantly with the host characteristics such as mobility, shell size and shell roughness. The shells of sessile organisms with large and smooth surfaces had a higher epibiont density, species richness and diversity than did shells of mobile organisms with small and rough shell surfaces. To conclude, epibiont species composition varies significantly between basibiont species, shell morphology, shell size, shell roughness, month of sampling and the mobility of the host.
Indigenous Indian Guggul extract augments saxagliptin effect against diabetes-induced complications
Authors: Jain Shalini , Sharma Mukesh Kumar , Chatterjee Sreemoyee , Gupta Nidhi 
Published: October 2023

Abstract
Type 2 Diabetes Mellitus is an endocrine metabolic disorder leading to impaired glucose utilization. This disease is managed by both commercial drugs and herbal products eliciting various interactions. The evaluation of one such interaction between saxagliptin (SAXA, substrate of CYP3A4), and guggul extract (GE) from Commiphora wightii is done in this present study. The concomitant administration of the SAXA with GE had restored otherwise increased blood glucose and biochemical parameters’ levels more effectively as compared to the solely consumed SAXA or GE. These results were corroborated by histopathological evaluation where the combination treatment showed better mitigation of hepatic, renal and pancreatic tissue damage that occurred due to induced diabetes. Furthermore, CYP3A11 mRNA (murine homolog to human CYP3A4) expression levels were observed to be reduced to non-diabetic levels in combination therapy which was otherwise unachievable. The molecular docking studies predicted improved interaction between CYP3A4 and bioactive content of GE, i.e., guggulsterone E-Z (G E&Z), possessing binding energy = -9.96 kcal/mol along with SAXA, confirming the co-existence of both the ligands at different binding sites of the metabolizing enzyme. The synergistic interactions of GE and SAXA helped in better restoration of tissue damage and CYP3A11 mRNA expression levels caused by induced diabetes.
Distally based sural flaps for soft tissue defects following traumatic osteomyelitis of lower leg and foot
Authors: Luo Shunhong , Ni Jiangdong , Dong Zhonggen , Peng Xiao , Shi Shimu , Luo Zhaobiao , Tao Shibin , Wei Jianwei 
Published: October 2023

Abstract

This retrospective study aimed to determine the incidence and risk factors for osteomyelitis recurrence and introduce our experiences in treating traumatic osteomyelitis in the lower leg and foot. We retrospectively reviewed data from 174 patients with distally based sural flaps for treating traumatic osteomyelitis with soft tissue defects in the lower leg and foot from November 2003 to February 2021. Possible risk factors for osteomyelitis recurrence were compared between the osteomyelitis control and recurrence groups. A total of 162 (93.1%) flaps survived uneventfully, while 12 (6.9%) flaps developed partial necrosis. All patients were followed up with an average period of 72.8 months. There were 152 patients (87.4%) in control group and 22 patients (12.6%) in recurrence group. The recurrence rates of osteomyelitis were significantly higher when the patient's age was 40 years or more and the duration was 10 weeks or more (P < 0.05). C-M type IV osteomyelitis was also significantly associated with osteomyelitis recurrence (p = 0.049). This flap combined with appropriate osteomyelitis treatment was an effective method to treat traumatic osteomyelitis of lower leg and foot with a soft tissue defect. Both patient age ≥ 40 years old and C-M type IV osteomyelitis were nonnegligible risk factors for osteomyelitis recurrence.
Long-term renal outcomes in systemic lupus erythematosus: 10-year experience in a single medical center in Taiwan
Authors: Tien Ya Chih , Liu Chao-Han , Kor Chew-Teng , Hsiao Kai-Hung 
Published: October 2023

Abstract
Objective.
To investigate the clinical characteristics and long-term renal prognosis of lupus-associated nephritis in Taiwan to better understand the presentation of systemic lupus erythematosus (SLE) in Asian populations.
Methods.
Data from Changhua Christian Hospital Clinical Research Database were retrospectively reviewed from Jan. 2010 until Dec. 2021. Patients diagnosed with SLE were included and categorized depending on their renal involvement. The incidence rate and risk factors of chronic kidney disease (CKD) and end-stage renal disease (ESRD) were analyzed in both groups.
Results.
A total of 2184 eligible SLE patients were included for analysis. Of those, 293 patients developed renal involvement, with a higher risk of CKD/ESRD development than those without renal involvement. The medium time from renal involvement to CKD and ESRD development was 5.12 (IQR: 0.86–8.54) and 6.19 (IQR: 2.92–9.42) years. The cumulative incidence rate of CKD was 46.6%, 54.5%, and 63%, respectively and that of ESRD was 4%, 7%, and 11% at 1, 2, and 5 years after renal involvement, respectively. Multivariate analysis showed the associated factors for CKD development were renal involvement, age, hypertension, presence of serositis, and use of cyclosporine, steroid, and angiotensin-converting-enzyme inhibitors/angiotensin II receptor blockers, while cyclophosphamide significantly affected ESRD development.
Conclusion.
In this Taiwanese population, patients with renal involvement were at higher risk to develop CKD than those without renal involvement. Moreover, ESRD development was observed in patients with renal involvement. Further study on this populations and longer follow-up durations are necessary to gain a better understanding of SLE.
Research on the Implementation Method of Situational Awareness Strategy by Fusing Computational Migration Models
Authors: ZUO Xuebin , YANG Fan , YANG Wenjie 
Published: October 2023

Abstract
With the exponential growth of the scale of domain monitoring data, the existing situational awareness technology suffers from low efficiency of processing data, long transmission time, and slow warning response. To address these problems, this paper proposes a situational awareness strategy (Computational Migration Situational Awareness (CMSA)) that incorporates the computational migration model. First, the strategy introduces a computational migration model, based on Monte Carlo-Shannon mathematical ideas, using sensors to collect heterogeneous monitoring data from multiple sources in real time, and distributing the collected data to each synaptic node in the edge layer; then, the strategy extracts the eigenvalues of the data, and then obtains the eigenvalue matrix; finally, it introduces the Modified Cosine Similarity algorithm, which analyzes the collected data from the levels of perceiving, understanding, and predicting and makes decisions accordingly. data is analyzed from three levels of perception, comprehension and prediction, and decisions are made accordingly. The experimental results show that the CMSA strategy is able to reduce the data transmission and comparison time by 35.3% compared with the existing methods, and also improves the comparison accuracy by 20.22%.
Optimization Design of Kinematic Couplings for Improving Repetitive Positioning Accuracy of Opto-mechanical Assemblies
Authors: Fan Zhihao , Yang Kaike , Yuan Bo , Yin Kangcheng , Sun Qingchao , Mu Xiaokai , Sun Wei 
Published: October 2023

Abstract
Kinematic coupling, as an efficient form of connection, is frequently employed for the repeated assembly and accurate positioning of replaceable opto-mechanical assemblies within high-power solid-state laser systems. During the kinematic coupling process, uncertainties in the mechanical behavior within the contact region often hinder the attainment of consistent positioning accuracy, potentially leading to an inability to meet operational requirements. This study aims to enhance the repetitive positioning precision of opto-mechanical assemblies kinematic couplings. To achieve this goal, a predictive model for repetitive positioning accuracy is established, accounting for uncertainties in contact region forces. Based on this model, an optimization design of kinematic couplings is conducted to mitigate these challenges. Initially, accounting for uncertainties in mechanical parameters within the contact region, we formulate a static analysis computational model to elucidate the probabilistic distribution of these parameters. Subsequently, employing Hertz contact theory and Holm-Archard wear theory, we quantify the elastic deformation and equivalent wear for each contact region through the calculation of normal pressures. Building upon this foundation, we establish a predictive model for repetitive positioning accuracy. Finally, optimization design is carried out on the friction coefficient of contact surfaces and the structural dimensions of positioning elements. The proposed optimization design is validated through experimental verification. The findings demonstrate that optimization of structural dimensions and contact surface friction coefficients resulted in enhanced repetitive positioning accuracy of 35.9%, effectively ameliorating the assembly quality. This study contributes a quantifiable analytical approach to the prediction and optimization design of repetitive positioning accuracy in kinematic couplings.
On the intersection graph of idealizations
Authors: Shirmohammadi Nematollah , Mahmoodi Akram 
Published: October 2023

Abstract
Let R be a commutative ring with identity. The intersection graph of ideals of a ring R is an undirected simple graph denoted by Γ(R) whose vertices are in a one-to-one correspondence with non-zero proper ideals and two distinct vertices are joined by an edge if and only if the corresponding ideals of R have a non-zero intersection. Let M be a unitary non-zero R-module and let R ⋉ M be the idealization of M in R. In this paper, we are interested in investigating some graph-theoretic properties of the intersection graph of idealization. We first determine the set of ideals of the Zp2 ⋉ Zp2 and Zpq ⋉ Zpq, for distinct prime numbers p and q. We then obtain necessary and sufficient conditions on the ring R and the module M such that Γ(R ⋉M) is planar. In fact, we prove that Γ(R ⋉ M) is planar if and only if R is a field and dimR(M) ≤ 2, or Max(R) = {m1, m2}, m1 ∩ m2 = 0, m2 M = 0 and dimR/ m2 (M) = 1, or M is a simple module and R has only one non-trivial ideal.
MSC 2010: 13A15, 05C75
Nomogram for predicting prolonged postoperative ileus after laparoscopic low anterior resection for rectal cancer
Authors: Guo Fangliang , Sun Zhiwei , Wang Zongheng , Gao Jianfeng , Pan Jiahao , Zhang Qianshi , Ren Shuangyi 
Published: October 2023

Abstract
Background: Prolonged postoperative ileus (PPOI) is a common complication after colorectal surgery that increases patient discomfort, hospital stay, and financial burden. However, predictive tools to assess the risk of PPOI in patients undergoing laparoscopic low anterior resection have not been developed. Thus, the purpose of this study was to develop a nomogram to predict PPOI after laparoscopic low anterior resection for rectal cancer.
Methods: A total of 548 consecutive patients who underwent laparoscopic low anterior resection for mid­low rectal cancer at a single tertiary medical center were retrospectively enrolled between January 2019 and January 2023. Univariate and multivariate logistic regression analysis was performed to analyze potential predictors of PPOI. The nomogram was constructed using the filtered variables and internally verified by bootstrap resampling. Model performance was evaluated by receiver operating characteristic curve and calibration curve, and the clinical usefulness was evaluated by the decision curve.
Results: Among 548 consecutive patients, 72 patients (13.1%) presented with PPOI. Multivariate logistic analysis showed that advantage age, hypoalbuminemia, high surgical difficulty, and postoperative use of opioid analgesic were independent prognostic factors for PPOI. These variableswere used to construct the nomogram model to predict PPOI. Internal validation, conducted through bootstrap resampling, confirmed the great discrimination of the nomogram with an area under the curve of 0.738 (95%CI: 0.736-0.741).
Conclusions: We created a novel nomogram for predicting PPOI after laparoscopic low anterior resection. This nomogram can assist surgeons in identifying patients at a heightened risk of PPOI.
Enhancing Spam Email Classification Using Effective Preprocessing Strategies and Optimal Machine Learning Algorithms
Authors: Ghogare Pramod P. , Dawoodi Husain H. , Patil Manoj P. 
Published: October 2023

Abstract
This paper proposes a content-based spam email classification by applying various text preprocessing techniques like Stopping, Stemming, and Lemmatization. NLP techniques have been applied to preprocessing techniques to avoid loss of information while preprocessing. Machine learning algorithms like Naïve Bayes (NB), Support Vector Machine (SVM), and Random Forest (RF) are applied to classify an email as ham or spam. The pre-processing technique used in this model has greatly enhanced the classification results. Two standard datasets Enron and SpamAssassin are used to evaluate the performance of the models. On the Enron dataset, it scored an impressive accuracy of 98.3%, and on the SpamAssassin dataset, it provided an even greater accuracy of 99.2%. These outcomes demonstrate the efficacy of preprocessing techniques for the classification of spam emails. Further, the proposed model's accuracy was validated using a dataset of personal emails sourced from Yahoo mailbox. The Yahoo inbuilt classifier offered an accuracy of 89%, however, the proposed models provided a staggering 97% accuracy on the personal email dataset. The experiment on the personal email dataset indicates the model's suitability for real-world email contexts, indicating its potential effectiveness in spam email categorization.
A Novel Polymer Enabled by Polymerized Small Molecule Strategy for Tumor Photothermal and Photodynamic Therapy
Authors: Xie Xin , Wang Ke , Zeng Jie , Xu Miao-Yan , Qu Xin-Hui , Xiang Zheng-Bin , Tou Fang-Fang , Huang Shaorong , Han Xiao-Jian 
Published: October 2023

Abstract
Photothermal therapy (PTT) and photodynamic therapy (PDT) are effective method for tumor treatment. However, the limited variety and quantity of photothermal agents (PTAs) and photosensitizer (PSs) are still major challenges. Moreover, the cell apoptosis mechanism induced by PDT and PTT is still elusive. A fused-ring small molecule acceptor-donor acceptor′ donor-acceptor (A-DA′D-A) type of Y5 (Scheme 1) has a narrow band-gap and strong light absorption. Herein, we used Y5 to polymerize with thiophene unit to obtain polymer PYT based on polymerized small molecule strategy, and PYT nanoparticles (PYT NPs) was prepared via one-step nanoprecipitation strategy with DSPE-PEG2000. PYT NPs had excellent biocompatibility, good photostability, high photothermal conversion efficiency (67%) and reactive oxygen species (ROS) production capacity under 808 nm laser irradiation (PYT NPs + NIR). In intro and in vivo experiments revealed that PYT NPs + NIR had the ability to completely ablate tumor cells. It was demonstrated that cell apoptosis induced by PYT NPs + NIR was closely related to mitochondrial damage. This study provides valuable guidance for constructing high-performance organic PTAs and PSs for tumor treatment.