bluuebunny/crossref_metadata_2025_split huggingface dataset:
Leveraging Correlation and Clustering: An Exploration of Data Scientist Salaries
Authors: Agoeng Chandra , Miza Azmi Nurul Dini Faqriah , Mat Harun Hakimah , Abdullah Nurzulaikha , Mustafa Wan Azani , Ridzuan Fakhitah 
Published: July 2024

Data science is a dynamic field with ever-evolving job descriptions and salary structures. While data science offers high earning potential, the factors influencing data scientist salaries remain unclear. This lack of clarity makes it challenging for both employers to determine competitive compensation packages and for employees to understand how career choices like experience level and job title can impact their earning potential. Thus, this study aims to explore the interrelationship between related variables with salary. To achieve the objectives of this research, correlation analysis was employed to identify the strength and direction of linear relationships between these attributes in the dataset. Additionally, k-means clustering was utilized to group data scientists with similar characteristics, allowing for the exploration of potential salary segments within the data science field. It was found that there was a very strong correlation between employee residence and company location (r=0.90). There was a significant moderate positive correlation between salary with company location (r=0.46), residence (r=0.48) and experience level (r=0.41) respectively. Based on the clustering analysis, the group was divided into four different popular roles in data science salary group. Therefore, employers can leverage this knowledge to design the salary packages considering location and experience.
Prendre soin, reprendre en main, ou lâcher prise : trois manières de surveiller la nuit carcérale
Authors: Le Mer Hadrien 
Published: July 2024

L’un des enjeux principaux de la journée de travail du surveillant pénitentiaire consiste à déléguer le travail de réinsertion et de prise en charge de la vulnérabilité des personnes détenues à d’autres professionnels. La nuit, la prison se vide de ses différents intervenants et ce « sale boulot » s’impose aux seuls surveillants. Cette généralisation d’un « sale boulot » qui n’est plus délégable fait apparaitre une polarisation des attitudes de surveillance. La première, l’attitude statutaire, consiste à refuser le travail de réinsertion au profit d’une préservation de soi et de son sommeil. À l’opposé de ce désengagement professionnel, je distingue deux types de missionnariat. Le premier, le missionnariat sécuritaire, s’élabore contre l’idée d’une population pénale vulnérable et met en avant l’idée d’une dangerosité des personnes détenues qui profiteraient de la nuit pour s’épanouir dans l’illégalité. Le second, le missionnariat du soin, consiste à l’inverse à s’approprier le travail de réinsertion et de prise en charge de la vulnérabilité nocturne au profit d’un anoblissement moral de la mission professionnelle de surveillance. N’étant pas véritablement formés à la mission de réinsertion, les surveillants puisent dans des socialisations préalables pour parvenir à produire une réponse à la fragilité nocturne des personnes détenues et se situer préférentiellement dans l’une de ces trois attitudes. Je m’efforce d’analyser certaines des régularités observables entre passés sociaux des surveillants et attitudes de surveillance adoptées pendant la nuit.
Photovoice Project for a Family and Societal Nursing Course
Authors: Neiman Tammy 
Published: July 2024

Background:
Aesthetic knowing requires an understanding of human experience while personal knowing requires self-reflection and awareness. Photovoice and arts-based learning utilizes different forms of art to elicit abstract and critical thinking and reflection skills in students.

Method:
A photovoice project was assigned to first-semester nursing students to think about and reflect on human experiences of patients, families, and themselves in the nursing role. Items on a course evaluation gauged how students felt the project contributed to their learning.

Results:
Many students appreciated the different approach to learning and liked the chance to be creative. The project also required students to review the contents of the course for a final presentation. The photovoice project contributes to the development of aesthetic and personal ways of knowing and helps students meet course objectives.

Conclusion:

The photovoice project is an effective and innovative way to develop aesthetic and personal knowing in nursing students.

[
J Nurs Educ
. 2024;63(X):XXX–XXX.]
Building Clinical Simulations With ChatGPT in Nursing Education
Authors: Reid Jason A. 
Published: July 2024

Background:
Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, skills, and attitudes. Clinical simulation has emerged as a valuable approach, but creating well-crafted simulations traditionally requires substantial time and effort. The advent of artificial intelligence (AI), exemplified by ChatGPT (OpenAI), offers promising advancements in streamlining scenario creation.

Method:
This article explores the application of ChatGPT-3, version GPT-3, created by OpenAI in generating clinical simulation scenarios for nursing education. The focus is on the convenience, speed, and creativity provided by ChatGPT, enabling nurse educators to save time while developing intricate and thought-provoking scenarios.

Results:
ChatGPT generates intricate scenarios that stimulate critical thinking, significantly reducing the time required for nurse educators to create simulations. This AI tool's ability to produce clinical simulations quickly demonstrates its potential to enhance educational experiences in nursing.

Conclusion:

ChatGPT's convenience, speed, and innovative capabilities make it invaluable for constructing dynamic clinical simulations, opening new avenues for innovative instruction in nursing education. This article highlights the transformative role of AI in empowering educators and enhancing educational experiences, showcasing ChatGPT's potential to revolutionize nursing education despite ongoing discussions about its potential negative impacts.

[
J Nurs Educ
. 2024;63(X):XXX–XXX.]
Outcomes of Concept-Based Curricula: An Integrative Review
Authors: Buckner Martha , Camp Sara , Murabito Sandra 
Published: July 2024

Background
Complexity and change in health care environments, the rapid pace of knowledge generation, and changing education policy have led to national calls for change in nursing education. Many nursing programs have adopted a concept-based curriculum (CBC) to address these challenges. Yet, much is still uncertain about the outcomes and effectiveness of CBC, which requires large scale, time-consuming, and resource-intensive change.

Method
This integrative review assesses the outcomes of CBC in nursing higher education with a focus on the comparison of CBC to traditional curricula.

Results

The four relevant themes that emerged after an extensive literature review were critical thinking/clinical judgment, NCLEX-RN
©
(National Council Licensure Examination for Registered Nurses) pass rates, graduation rates, and student satisfaction scores. Overall, the evidence base is not robust. A valid and reliable tool to measure clinical judgment is needed. The review specifically addresses CBC effects on student critical thinking and clinical judgment, traditional outcome metrics, (NCLEX-RN success, graduation rates, and student satisfaction), and other perceived benefits.

Conclusion

The authors found promising results on the effect CBC may have on critical thinking and clinical judgment and other perceived benefits. Findings were inconclusive on traditional outcome metrics.

[
J Nurs Educ
. 2024;63(11):725–729.]
Application of Support Vector Machine Classification Model to Identification of Vascular Endothelial Growth Factor Receptor Inhibitors
Authors: Arabi Nooshin , Torabi Mohammad Reza , Ghasemi Fahimeh 
Published: July 2024

Background:
Nowadays, with the increasing prevalence of cancer mortality, finding the best cancer inhibitors is vital. Angiogenesis, which refers to the formation of new blood vessels from existing ones, undergoes abnormal changes in the physiological process of solid tumors. Vascular endothelial growth factor receptor (VEGFR) plays a crucial role in angiogenesis. Hence, one of the suggestions in cancer treatment has been inhibiting VEGFR signaling to prevent angiogenesis. The computational approach as an in vitro alternative method is crucial to reduce time and cost. This study aimed to use classification algorithm to separate potent inhibitors from inactive ones.

Materials and Methods:
In order to apply the machine learning model, biological compounds were extracted from the BindingDB database. Due to the large number of molecular features, the classification model was susceptible to overfitting. To address this issue, a correlation-based feature selection algorithm was proposed as a means of feature reduction. Subsequently, for the classification step, a support vector machine model that utilizes both linear and non-linear kernels was employed.

Results:
The implementation of the support vector machine model with the radial basis function kernel, along with the correlation-based feature selection method, resulted in a higher accuracy (81.8%, P value = 0.008) compared to other feature selection methods used in this study. Finally, two structures were introduced with the highest binding affinity to inhibit the second VEGFR.

Conclusion:
According to the results, the correlation-based feature selection method is more accurate than other methods.
Cytotoxic Effects of a Novel tagged Apoptin on Breast Cancer Cell Lines
Authors: Lakhshei Parisa , Ahangarzadeh Shahrzad , Yarian Fatemeh , Koochaki Ameneh , Kazemi Bahram , Kiamehr Zahra , Mohammadi Elmira , Alibakhshi Abbas 
Published: July 2024

Backgrounds:
Apoptin can induce tumor cell-specific apoptosis in a broad range of human tumor cells and is a potential anticancer therapeutic candidate to kill tumor cells.

Materials and Methods:
We designed two structures of apoptin fusion protein, SUMO-PTD4-Apoptin, and PTD4-Apoptin. To express these fusion proteins, E. coli BL21(DE3) was employed. MTT assay, Flow cytometry, and cell cycle analysis were used to investigate the function of proteins on two breast cancer cell lines (MDA-MB-231 and MCF-7) and MCF 10A cell line (as normal cells).

Results:
Expression of the recombinant SUMO-PTD4-Apoptin and PTD4-Apoptin in E. coli BL21(DE3) was successful. MTT assay results showed that the IC50 was 6.4 µg/ml for SUMO-PTD4-Apoptin in MDA-MB-231 and was 9.3 after 24 h of treatment in MCF-7. The specific cytotoxicity in both cell lines is significant in comparison with MCF-10A, which is used as a normal cell line (IC50 = 29.4). The IC50 for PTD4-Apoptin was 11.07 µg/ml after 24 h of treatment in MDA-MB-231, while the IC50 of PTD4-Apoptin for MCF7 cells was not significantly different from normal cells. The flow cytometry analysis displayed a significant increment in the apoptosis and late apoptosis number in the MDA-MB-231 cells after treatment with SUMO-PTD4-Apoptin and PTD4-Apoptin protein. PTD4-Apoptin and SUMO-PTD4-Apoptin treatment of MDA-MB-231 cells caused a noteworthy increase in the G0-G1 phase and a reduction in the cell population of S and M/G2.

Conclusion:
This study demonstrates that the fusion of PTD4-Apoptin to SUMO-PTD4-Apoptin could provide an effective method to help enhance the expression and solubility of heterologous Apoptin in E. coli. BL21 (DE3).
A Survival Prediction Model of Self-Immolation Based on Machine Learning Techniques
Authors: Sadeghi Malihe , Bayati Baran , Kazemi Azar , Tajvidi Asr Rahime , Sayadi Mohammadjavad 
Published: July 2024

Background:
Self-immolation is one of the violent methods of suicide in developing countries. Predicting the survival of self-immolation patients helps develop therapeutic strategies. Today, machine learning is widely used in diagnosing diseases and predicting the survival of patients. This study aims to provide a model to predict the survival of self-immolation patients using machine learning techniques.

Materials and Methods:
A retrospective cross-sectional study was conducted on 445 hospitalized self-immolated patients admitted to a burn hospital between March 2008 and 2019. Python programming language version 3.7 was used for this goal. All possible machine-learning algorithms were used. Gradient Boosting, support vector machine (SVM), random forest, multilayer perceptron (MLP), and k-nearest neighbors algorithm (KNN) were selected as the high-performance machine learning technique for survival prediction, and then they were compared by evaluation metrics such as F1 score, accuracy, sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC). Based on this comparison, the best model was reported.

Results:
SVM was the best algorithm. F1 score, accuracy, and AUC for this machine-learning model were 91.8%, 91.9%, and 0.96, respectively. The machine learning model results revealed that surgical procedures, score, length of stay, anatomical region, and gender obtained the most important and had more impact than other factors on patients’ survival prediction.

Conclusion:
In this paper, machine learning algorithms were used to create a model for survival of self-immolation patients. The results of this study can be used as a model for predicting self-immolation patients’ survival, better treatment management, and setting up policies and medical decision-making in burn centers.
Outcomes of Laparoscopic Approach to Cesarean Scar Pregnancy (CSP)
Authors: Rouholamin Safoura , Ghasemi Toudeshkchuei Nasrin , Hashemi Maryam , Allameh Zahra , Naghshineh Elham 
Published: July 2024

Background:
Cesarean scar pregnancy (CSP) is a rare long-term complication after cesarean delivery. In clinical practice, its diagnosis and management is very important because it may be associated with serious consequences. Although a wide range of treatment options have been reported, the best treatment is unrecognized yet. This study aimed to evaluate the outcomes of laparoscopy in CSP.

Materials and Methods:
This non-randomized single-arm clinical trial was conducted on 43 CSP patients who were referred to the educational and medical centers of Isfahan University of Medical Science from 2021 to 2022. All the patients were treated by laparoscopy, and during follow-up, the pregnancy test was measured weekly until the test was negative, and an ultrasound was performed 6 months later. Myometrial thickness and occurrence of isthmocele were checked and recorded. Abnormal uterine bleeding or pelvic pain were also evaluated 6 months later.

Results:
Mean time of surgery was 55.12 ± 10.61 minutes, and the rate of intraoperative bleeding was 62.93 ± 24.00 cc. Four cases had excess intraoperative bleeding: two of them received packed cells, and two led to laparotomy. After surgery, the time to negative pregnancy test was 19.21 ± 5.50 days and 4 (10.3%) patients had isthmocele in follow-up sonography. Human chorionic gonadotropin hormone (BHCG) decreased significantly after surgery (percentage reduction: 97.71 ± 3.80; P value < 0.001) and myometrial thickness increased significantly (percentage increase: 46.94 ± 28.66; P value < 0.001).

Conclusion:
Laparoscopic excision of a CSP is an effective and feasible technique with the advantage of an immediate myometrial reconstruction.
Relative Frequency of Gastrointestinal Functional Disorders in Patients with Inflammatory Bowel Disease Based on Rome IV: A Case-Control Study
Authors: Soheilipour Maryam , Chermahini Tahereh Ghasemi , Tamizifar Babak , Kassaian Nazila , Khorasani Marzieh Rahim , Adibi Peyman 
Published: July 2024

Background:
Inflammatory bowel disease (IBD) is a digestive system ailment that causes significant bodily disruption. This problem may coexist with other digestive system illnesses. One of the diseases that reduces the quality of life and other disorders is functional dyspepsia (FD), the diagnosis of which is associated with unique limitations. In this study, we aim to investigate the relative frequency of FD in IBD patients and compare it with a healthy control group.

Materials and Methods:
In a case-control study, we selected a group of IBD patients and healthy controls, and all participants were prepared for a diagnosis of FD symptoms using ROME IV criteria. Data were analyzed and compared using Chi-square and t-test, and P ≤ 0.05 was considered significant.

Results:
There were 100 IBD patients, including 91 with ulcerative colitis and 9 with Crohn’s disease (mean age, 41.37 ± 13; 39 males, 61 females). Furthermore, 100 healthy control subjects (mean age, 44.23 ± 14; 38 males, 62 females) were analyzed. 10% of IBD patients met the criteria of FD, which was comparable with the controls (5, 5%) (P > 0.05). Some of the symptoms of irritable bowel syndrome (IBS) including abdominal pain (P = 0.01) and bowel movement (P = 0.02) were significantly higher in IBD patients than in non-IBD subjects.

Conclusions:
The symptoms of FD were not significantly greater in IBD patients compared to the control group, while IBS symptoms were significantly higher in IBD individuals, indicating a possible overlap of Rome IV IBS and FD.
The Growth of A549 Cell Line is Inhibited by Pemetrexed Through Up-regulation of hsa-MiR-320a Expression
Authors: Ghorbani Alvanegh Akbar , Esmaeili Gouvarchin Ghaleh Hadi , Mohammad Ganji Shahla 
Published: July 2024

Background:
Lung cancer deaths are increasing worldwide and the most common form of lung cancer treatment is chemotherapy. Pemetrexed (PMX) has been shown to be effective as a second-line treatment for advanced patients. Drugs can alter the expression of MicroRNAs, and MicroRNAs also can either enhance or reduce the drug’s effectiveness and this is a two-way relationship. Hsa-MiR-320a is known to play a crucial role in the lung cancer. This study aims to investigate the expression of hsa-MiR-320a in lung cancer cells after treatment with PMX.

Materials and Methods:
A549 cells were cultured and treated with varying concentrations of PMX. Various parameters were measured, including cell viability, reactive oxygen species (ROS) production, lactate dehydrogenase (LDH) release, apoptosis assay, caspase 3 and 7 enzyme activity, and scratch assay. Additionally, gene expression profiles of hsa-MiR-320a, VDAC1, STAT3, BAX, and BCL2 were evaluated.

Results:
PMX reduced the viability and increased apoptosis. After 48 h, ROS production was 3.366-fold higher than in control cells and the LDH release rate was increased by 39%. PMX also up-regulated the expression of hsa-MiR-320a by about 12-fold change.

Conclusion:
Changes in the expression of MicroRNAs occur after chemotherapy, and these changes play a crucial role in regulating the growth of cancer cells. Identifying these MicroRNAs can be helpful in predicting the efficacy of the chemotherapy or introducing it as combination therapy. Our research has been shown that hsa-MiR-320a can serve as a biomarker of PMX efficacy and also has the potential to be used in combination therapy.
Enhancing the Antioxidant Activity of Alginic Acid Extracted from Sargassum Angustifolium Brown Algae Based on Optimizing the Extraction
Authors: Kolahdoozan Melika , Mousavi Seyed Erfan , Hatamipour Mohammad Sadegh , Yegdaneh Afsaneh 
Published: July 2024

Background:
Researchers are always searching for chemicals with antioxidant properties. The cell wall polysaccharide of Sargassum angustifolium consists of alginic acid. To use this polysaccharide and investigate on its various effects, it must first be isolated from brown algae and the operational parameters of extraction need to be optimized to reach the maximum antioxidant effect.

Materials and Methods:
The effects of changing the parameters (temperature, time, and power of ultrasonic waves) used in the extraction of alginic acid were discussed based on changes in the antioxidant effect. After that, M/G (β-D-mannuronic acid to α-L-guluronic acid ratio) was measured using 1H NMR spectra, and the antioxidant activity of the extracted alginic acid was examined using the DPPH method.

Results:
The highest antioxidant effect was observed in sample No. 4 with an extraction temperature of 65°C, extraction duration of 25 min, and 640 W of ultrasonication power, whereas the lowest antioxidant effect was observed in sample No. 7 at 45°C, 20 min, and 480 W.

Conclusion:
Structural changes due to increasing temperature may cause less activity, whereas the optimum temperature was 65°C. There was no direct relationship between M/G and IC50, and it should be examined along with molecular weight. Increasing the intensity of the waves increased the antioxidant activity. The extraction yield can be increased by increasing A/W (Gram of algal sample per mL of solvent). It appears that the extraction under optimum conditions enhances the MM block epimer, which may lead to an increase in the antioxidant activity.
Evaluation of the effect of atorvastatin on corneal endothelial cells during the initial 12-month period after acute coronary syndrome
Authors: Karapapak Murat , Demirtola İrem , Kelebek Merve , Ozal Ece , Ermis Serhat , Ozal Sadik 
Published: July 2024

Purpose:
It was aimed to compare corneal endothelial changes during the initial 12-month period in which patients started using atorvastatin after a diagnosis of acute coronary syndrome (ACS).

Methods:
Forty-six participants (group 1) who underwent cardiac angioplasty and stenting for ACS and started using 80 mg atorvastatin in the early period were included in the study. In the study, a control group comprising 71 healthy adults (group 2) was included. These individuals did not use medication for any known systemic disease, had never taken statins, had no history of ocular surgery, and did not have any cornea-related eye diseases. Baseline and 12th month endothelial evaluations of group 1 and 2 participants were compared using specular microscopy.

Results:
There were 28 female and 18 male participants in group 1 and 48 female and 23 male participants in group 2 (P = 0.455). The mean baseline corneal endothelial cell density (CECD) was not significantly higher in group 1 compared to group 2 (2471.4 ± 200 cells/mm2 vs 2428.2 ± 539.8 cells/mm2, P = 0.230). When the change between baseline and 12th month CECD was examined, the decrease in group 2 was significantly different from that in group 1 (-15,2 ± 31,9 and -44,8 ± 49,6, P = 0,002). Although the percentage of hexagonal cells decreased significantly in group 2 participants, no significant change was observed in group 1 (respectively; P < 0.001, P = 0.073). The endothelial cell coefficient of variation did not differ significantly in group 1 participants over a 1-year period (P = 0.192), and a significant increase was observed in group 2 (P < 0.001).

Conclusion:
This study revealed that atorvastatin may have a positive effect on corneal endothelium cell density and morphology.