bluuebunny/crossref_metadata_2025_split huggingface dataset:
Demystifying Turnover Prediction: How ResidualError Characteristics Shape Model Performance
Authors: aicha anis ben , Kacem Fadi , Boutahar Mohammed , Bennady Youssef 
Published: August 2024

Abstract

Employee turnover, particularly the loss of highly skilled personnel, poses a crit-ical challenge for organizations, leading to decreased productivity and increasedrecruitment costs. Several intelligent systems are designed to predict voluntaryemployee churn. These methods typically follow a two-step approach: data col-lection and prediction algorithm design. System performance is often evaluatedusing conventional metrics like accuracy, precision, and recall. However, a cru-cial limitation exists: these metrics primarily assess the algorithm’s effectiveness,potentially neglecting the fundamental importance of data quality. This paperemphasizes the critical role of data quality in employee turnover prediction sys-tems. It is obvious that poor data quality, arising from inadequate preparationor missing essential features, can significantly degrade system performance. Toilluminate this relationship, we propose the analysis of residual errors. This statis-tical approach provides a valuable supplementary tool for advanced performanceanalysis, enabling us to quantify the quality of the data fed into the predictionalgorithm. By incorporating residual error analysis, we can gain a more compre-hensive understanding of prediction systems’s performance and identify potentialdata quality issues. This, could facilitate the development of more robust andreliable employee turnover prediction models.
Tailored and sustainable bio-composite thanks to synergetic interactions of Polycaprolactone (PCL) and Guar Gum derivative
Authors: Assimi Taha El , Boutriouia El Hassan , Jalit Iliass , Chekroun Abir , Khouloud Mehdi , Beniazza Redouane , Meziane Abdellatif El , Youcef Hicham Ben , Blažic Roko , Vidović Elvira , Lahcini Mohammed 
Published: August 2024

Abstract

In this research study, we describe the synthesis of new and tailored bio-composite materials by leveraging the synergistic interaction between polycaprolactone (PCL) and carboxymethyl hydroxypropyl guar gum (CMHPG). The proposed approach involves the in-situ ring opening polymerization (ROP) of ε-caprolactone, enabling the grafting of high molecular weight PCL chains (100 Kg.mol− 1) onto CMHPG using a highly stable tin-based catalyst. The successful covalent association between the hydrophobic PCL chains and the hydrophilic CMHPG polysaccharide was confirmed. In addition, comprehensive structural (FTIR, DLS, contact angle and DRX), thermal (TGA and DSC), and mechanical characterizations were performed to investigate the synergistic effects between PCL and CMHPG. Notably, by precisely controlling the amount of CMHPG filler incorporated during synthesis, we achieved tailored performance in terms of film hydrophobicity and controlled biodegradability kinetics. These findings underscore the significant potential of the developed PCL bio-composites for specialized applications such as coatings, surface engineering, and the production of antifouling or repellent materials.
Enhancement of n-3 PUFAs utilization for functional meat production in slow-growing Korat chicken: evaluation of characteristics of glucose transporter-targeted lipid nanoparticles
Authors: Homyok Piyaradtana , Kamkaew Anyanee , Yata Teerapong , Treesuppharat Worapapar , Ariyachayut Apipu , Baéza Elisabeth , Berri Cécile , Molee Amonrat , Molee Wittawat 
Published: August 2024

Abstract

The aim of this research was to investigate the synthesis of suitable carrier of nanoparticles for improving the utilization of n-3 polyunsaturated fatty acids (n-3 PUFAs) source in chicken diets. Lipid nanoparticles were successfully prepared with two different n-3 oil sources, tuna and algal oils using hot and high-pressure homogenization method. Four preparations were defined as followed: non-targeting lipid nanoparticles containing tuna oil (TO_NPs), non-targeting lipid nanoparticles containing algal oil (AO_NPs), targeting lipid nanoparticles containing tuna oil (TO_TNPs) and targeting lipid nanoparticles containing algal oil (AO_TNPs). A second study was conducted for the targeting procedure, the treatments as followed: Control, TO_NPs and TO_TNPs. Thirty-three slow-growing chickens were examined during the post-administration kinetic at 2, 4, 8, 12 and 24 h. The physicochemical characteristics of lipid nanoparticles, storage stability and in vivo biodistribution were evaluated. The results showed that the particle diameters of TO_NPs and AO_NPs were 223.7 and 294.4 nm, whereas the particle diameters of TO_TNPs and AO_TNPs were 134.7 and 184.0 nm, respectively. The polydispersity index (PDI) and zeta-potential of nanoparticles showed a good distribution and stability in colloid dispersions, respectively. Moreover, the nanoparticles of the TNPs groups were less susceptible to lipid oxidation than that of the NPs groups during a storage at 4°C. The study of the biodistribution based on the Nile red intensity and the determination of n-3 PUFAs composition in chicken meat confirmed the effectiveness of targeted lipid-based nanoparticles to transport directly fatty acids into the skeletal muscle cells of chicken.
The prognostic significance of Twist in pancreatic cancer and its role in cancer promotion through the regulation of the immune microenvironment and EMT mechanisms
Authors: Li Qing , Liu Yu , Zhi Renhou , Wang Yinquan 
Published: August 2024

Abstract

Objective
The limited immunogenicity of pancreatic cancer (PAAD) contributes to its low responsiveness to immunotherapy, yet its underlying mechanism remains poorly understood. Twist, known for its involvement in tumor EMT and advancement, plays a significant role. The interplay between EMT and the tumor microenvironment (TME) emerges as a pivotal factor influencing tumor immunity and response to immunotherapy. Twist therefore has potential as a biomarker for gauging the outcome of tumour immunotherapy.This research aimed to assess the Twist's prognostic significance in PAAD and its relationship to immunotherapy response.
Methods
Transcriptional data and epigenetic alterations of Twist in pancreatic cancer, along with their impact on the prognosis of PAAD patients, were analyzed using databases. Functional enrichment analysis elucidated the biological role of Twist in PAAD. Subsequently, databases including CIBERSORT and TIDE were employed to investigate the association between Twist expression and immune cell infiltration, immune checkpoint genes, and immunotherapy sensitivity within the pancreatic cancer immune microenvironment.
Results
Twist mRNA expression was notably upregulated in PAAD, positively correlating with gene methylation levels. Analyses of Kaplan-Meier and Cox regression showed a correlation between better overall survival and lower Twist expression. Functional annotation indicated that Twist-associated differentially expressed genes (DEGs) were involved in EMT regulation and acute inflammation. Twist expression potentially impacts the therapeutic response to immune checkpoint inhibitors (ICIs). Furthermore, Twist was significantly overexpressed in pancreatic cancer cell lines and tissues, exhibiting a negative correlation with E-cadherin expression.
Conclusion
High Twist expression in PAAD signifies a grim prognosis. Its elevated levels not only contribute to tumor progression through EMT induction but also exert regulatory control over the immune microenvironment, leading to immunosuppression and diminished effectiveness of immunotherapy.
Welcome to the Operating Theatre! Introductory Bootcamp in Operating Theatre Specialities for Medical Students
Authors: Buscail Etienne , Bolzinger Manon , Shourick Jason , Lier Marie Laure , Sautier Phillipe , Delhoste Magali , Muscari Fabrice , Carrère Nicolas , Maulat Charlotte , Dalmas Yoann , Brinas Pierre , Prudhomme Thomas , Podio Cyril , Houze-Cerfon Charles-Henri , Rauzy Odile , Geeraerts Thomas , Abbo Olivier 
Published: August 2024

Abstract

INTRODUCTION
Since the early 2000's, the appeal of certain operating room specialties has waned among medical school graduate students. The recent reform of the second and third cycles of medical studies in France provides an opportunity to set up teaching programs around operating room specialties. We have set up a teaching unit which is part of the final year of medical studies. The main objectives are: (1) to examine whether a boot camp can modify students' opinions, and preconceived assumptions about a surgical and/or anesthetist career (2) to determine whether these changes in perception, have an impact on students' interest in pursuing a surgical/anesthetic career compared with the initial situation.
MATERIALS AND METHODS
The boot camp working in the operating theatre (UETB) takes place after the written exams of the sixth of medical school, before the choice of the future specialty for residency. This program, includes practical workshops, readings and time for exchanges with those in charge of supervising surgeon and anesthetist. At the beginning and at the end of the UETB, questionnaire was collected.
RESULTS
The cohort included 59 students at the Toulouse medical school, academic year 2023–2024. After participation in the UETB there was a significant qualitative improvement in interest in a surgical and intensive care-anesthesia career. Concerning the help provided by UETB in choosing a future specialty, there was a statistically significant qualitative improvement. The final test point related to students’ perception of the difficulty of acquiring a work-life balance, there was a significant qualitative improvement.
CONCLUSION
The results of this study make a strong case for integrating additional exposure to the various surgical subspecialties into the graduate medical curriculum in France. By helping to dispel misperceptions of “a surgical/anesthetist career” early on, opportunities such as the UETB program may be able to address the attrition rate observed among surgical and anesthetic residency applications.
Association of Dietary Niacin Intake with All-cause and Cardiovascular Mortality in Patients with Chronic Kidney Disease
Authors: Chi yongqian , Lu Zhen , Liang Cuicui , Xuan Chao , Xu Fengqiang , Luo Congjuan , Lian Zhexun , Ji Hongwei , Guo Junjie 
Published: August 2024

Abstract

Background
Niacin, also known as vitamin B3 or nicotinic acid (NA), exhibits beneficial effects on factors influencing the decline of kidney function. In chronic kidney disease (CKD) patients, the relationship between dietary niacin and mortality prognosis remains unclear.
Methods
The study involved 2,962 CKD patients from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 and followed for survival through December 31, 2019. Cox proportional hazards models were utilized to explore the association between dietary niacin intake and both all-cause mortality and cardiovascular disease (CVD) mortality. Additionally, restricted cubic splines and subgroup analyses were performed.
Results
During a median follow-up of 5.7 years, 631 deaths including 229 CVD deaths were recorded. In multivariable-adjusted Cox models, highest quartile of niacin intake compared with lowest quartile was associated with lower mortality risk. Hazard ratios were 0.71 (95% confidence interval [CI], 0.53–0.97) for all-cause mortality (P = 0.044 for trend) and 0.61 (95% CI, 0.41–0.91) for CVD mortality (P = 0.020 for trend).
Conclusions
The findings of this cohort study indicate a potential association between increased dietary niacin intake and reduced all-cause and cardiovascular mortality among patients with CKD.
Predicting Diabetes in Adults: Identifying Important Features in Unbalanced Data Over a 5-Year Cohort Study Using Machine Learning Algorithm
Authors: Moghaddam Maryam Talebi , Jahani Yones , Arefzadeh Zahra , Dehghan Azizallah , Khaleghi Mohsen , Sharafi Mehdi , Nikfar Ghasem 
Published: August 2024

Abstract

Background
Imbalanced datasets pose significant challenges in predictive modeling, leading to biased outcomes and reduced model reliability. This study addresses data imbalance in diabetes prediction using machine learning techniques. Utilizing data from the Fasa Adult Cohort Study (FACS) with a 5-year follow-up of 10,000 participants, we developed predictive models for Type 2 diabetes.
Methods
We employed various data-level and algorithm-level interventions, including SMOTE, ADASYN, SMOTEENN and KMeans SMOTE, paired with Random Forest, Gradient Boosting, and Multi-Layer Perceptron (MLP). Performance was evaluated using F1 score, AUC, and G-means.
Results
Our results show that ADASYN with MLP achieved an F1 score of 82.17 ± 3.38, AUC of 89.61 ± 2.09, and G-means of 89.15 ± 2.31. SMOTE with MLP followed closely with an F1 score of 79.85 ± 3.91, AUC of 89.7 ± 2.54, and G-means of 89.31 ± 2.78. The SMOTEENN with Random Forest combination achieved an F1 score of 78.27 ± 1.54, AUC of 87.18 ± 1.12, and G-means of 86.47 ± 1.28.
Conclusion
These combinations effectively address class imbalance, improving the accuracy and reliability of diabetes predictions. The findings highlight the importance of using appropriate data-balancing techniques in medical data analysis.
Application of 3D vision and networking technology for measuring the positional accuracy of industrial robots
Authors: Huang Hsueh-Liang 
Published: August 2024

Abstract

In this study, a system for measuring the positional accuracy of industrial robots using 3D vision and networking technology has been proposed. The 3D vision system comprises a Charge Coupled Device (CCD) module, a reference sphere module, and a signal processing module. The reference sphere module serves as the sensing object, while the CCD module captures displacement images of the reference sphere module. The signal processing module receives and processes signals from the CCD module. It interfaces with a self-developed programming interface to calculate the X, Y, Z, θx, and θy (five-degree-of-freedom, 5-DOF) positional accuracy of the industrial robot.
Experimental results demonstrate that the linear accuracy (X, Y, Z) and angular accuracy (θx, θy) of the 3D vision system are approximately 3 μm and 0.15 degrees, respectively. Additionally, a networking architecture connects the controller of the machine tool with the industrial robot to enable synchronized motion path planning. The industrial robot can be calibrated using the high-precision machine tool equipped with the 3D vision-based positional accuracy measurement system.
Novel Nicotintaldehyde Derivatives via Pd (0) Catalyzed Suzuki Coupling Approach; Characterization, DFT and Molecular Docking and evaluation of anti-antibiofilm, antiquorum sensing activities against Oral pathogens
Authors: Ullah Aman , Amin Adnan , Aiman Ume , Rab Safia Obaidur , Rehman Fazal Ur , Awais Sofia , Aziz Qaiser , Adeel Muhammad , Ullah Niamat , Ahmad Rashid 
Published: August 2024

Abstract

A very efficient Pd-built catalytic system for the Suzuki Miyaura SM coupling of nicotinaldehydes were developed under gentle reaction conditions. Analytical techniques included FTIR, Uv-Visible, 1H NMR, and 13C NMR, whereas computational analysis used during the investigation involved density functional (DFT), Molecular docking PASS, ADMET and drug likeness. In the current investigation, new nicotinaldehyde compounds i;e 2-(2,3-dimethylphenyl) nicotinaldehyde DMPN, 2-(3-bromophenyl) nicotinaldehyde BrPN, 2-(4-(tert-butyl)-[1, 1-biphenyl]-4-yl) nicotinaldehyde tBuBPN were synthesized. In computational analysis HOMO-LUMO band gaps (Egap) were obtained in the range of 0.14947–0.15888 eV. By using spectroscopic analysis such as FTIR, Uv-Visible, 1H NMR, and 13C NMR, the structures of new synthesized composites were verified. Molecular docking of compounds revealed stable strong interaction with 1JIJ and 2XET. All drug molecules followed drug likeness rules and PASS analysis revealed significant antimicrobial potential high confidence interval (0.329–0.751). The antimicrobial evaluation of tested molecules revealed significant inhibition of oral pathogens including Pseudomonas aeruginosa, Bacillus chungangensis1, Bacillus paramycoides, Bacillus chungangensis2 and Paenibacillus dendritiformis (MIC 1.56–49.2µg/mL). Further significant antibiofilm were recorded in case of DMPN (1.56–6.24 µg/mL) and M2 (MIC 1.56–6.24 µg/mL), whereas all three compounds presented moderate (54–57%) antiquorum sensing activity. It was therefore concluded that compounds DMPN and BrPN possessed strong activities against oral pathogens.
Is Middle East Pain Syndrome (MEPS) a Variant of Fibromyalgia Syndrome or a Distinct Disease?
Authors: Elhamamy Mona H. , Elbeialy Adel A. , Mohamed Maha S. , Abdelraheem Sabah E. , Elzomor Hala M. 
Published: August 2024

Abstract

Objective: Fibromyalgia Syndrome (FMS) is a chronic disabling musculoskeletal condition of unknown aetiology characterized by generalized musculoskeletal pain, extreme fatigue, mood disturbance, impaired cognition, and lack of refreshing sleep. Middle East pain syndrome (MEPS) is a vitamin D3 deficiency-induced hyperparathyroidism and fibromyalgia mimicking rheumatoid arthritis, characterized by the radiological presence of spur-like excrescences in terminal phalanges. This study aimed to explore the inflammatory nature of MEPS and FMS.
Methods: Eighty primary fibromyalgia patients were included in this study. They were divided into two groups, group (1) of 40 FMS patients with low vitamin D levels and secondary hyperparathyroidism (SHPT), which were diagnosed as MEPS (2), and group (2) of 40 primary FMS patients with normal vitamin D and PTH levels. They were subjected to full medical history taking, clinical examination and laboratory assessment including serum IL-17 by enzyme-linked immunosorbent assay technique, as well as assessment of enthesopathy using musculoskeletal ultrasound and nailfold capillaroscopic pattern assessment. Plain X-ray films for hands were done on all patients.
Results: There was a statistically significant elevation of serum IL17 in the MEPS group (median = 58.3 ng/L) compared to the FMS group (median = 45.7 ng/L) as the p-value is <0.05. Capillaroscopic examination revealed a statistically significant difference between MEPS and FMS groups regarding angiogenesis as the p-value is< 0.05. The ultrasonographic examination also showed a statistically significant difference between MEPS and FMS groups as regards MASEI score as the p-value is< 0.05.
Conclusion: Elevated IL-17 levels, non-scleroderma pattern capillaroscopic and enthesopathy findings in both MEPS and FMS patients are strongly supportive that inflammatory mechanisms participate in the pathogenesis of both diseases. The significant increase of these findings in MEPS than FMS patients confirms that the newly discovered MEPS is a different disease although it involves fibromyalgia symptoms and signs.
Removal of ammonium and phosphate from wastewater by potassium permanganate modified Chinese medicine residues
Authors: Chen Jiachen , Zhong Ze , Chen Weilin , Zhu Jie , Luo Kai , Zhang Jie , Li Yuqi 
Published: August 2024

Abstract

With the rapid development of the Chinese medicine industry, the treatment of Chinese medicine residues has received widespread attention. This study was performed to investigate the removal of ammonium and phosphate from wastewater using potassium permanganate (KMnO4) modified Chinese medicine residues. The results showed that the adsorption performance of KMnO4 modified Chinese medicine residues (MR) was significantly efficient on nitrogen and phosphorus from the wastewater compared to unmodified Chinese medicinal residues (UR). The optimal adsorption conditions for nitrogen and phosphorus by the MR were modification concentration 0.6 g/L, modification time 4 h, adsorption time 4 h, adsorbent dosage 5 g/L, adsorption particle size 0.50 mm and pH 8. In addition, the optimal initial concentrations of nitrogen and phosphorus were 40 mg/L and 10 mg/L, respectively. The nitrogen and phosphorus adsorption by the UR and MR followed the pseudo second-order kinetic model and fitted the Langmuir isotherm equation. It is of great significance for resource conservation and environmental protection through the rational utilization and development of biomass resources from Chinese medicinal residues.
Correlation between Pertussis Toxin IgG and Severity of Pertussis in Unvaccinated Chinese infant patients with acute pertussis
Authors: Gan Chuan , Zheng Gaihuan 
Published: August 2024

Abstract

Background：Vaccination-induced PT-IgG offers protective effects against pertussis, and there is an inverse correlation between antibody levels and disease severity. However, there is limited research exploring the relationship between PT-IgG levels and disease severity in unvaccinated children with acute pertussis.
Method：This study collected data from 302 unvaccinated children with acute pertussis. The aim was to investigate the relationship between disease-induced PT-IgG levels and the severity of pertussis.
Result：302 patients were divided into four groups based on their antibody levels. Most patients (83.77%) had antibody levels below 50.00IU/ml, while a smaller portion (16.23%) had levels above 50.00IU/ml. The length of hospital stay decreased significantly as antibody levels increased (P=0.044). Similar trends were observed for the highest WBC and Lymphocyte count during infection; and these differences were statistically significant (P<0.001 for both). There were no significant differences in the highest heart rate and respiratory rate among the patients (P=0.379 and P=0.963, respectively);Complication, including pneumonia, severe pneumonia, and respiratory failure, also showed no significant differences among the groups (P=0.400, P=0.158, and P=0.131, respectively).Raised C-reactive protein and raised Procalcitonin levels did not differ significantly between the groups (P=0.285 and P=0.170, respectively). Additionally, there were no significant differences in bacterial or viral co-infection rates among the groups (P=0.698 and P=0.623, respectively).
Conclusion：In Chinese infant patients with acute pertussis who have not received vaccination, the PT-IgG levels are predominantly below 50.00IU/ml. Despite the protective role of PT-IgG, higher antibody levels do not appear to significantly reduce the severity.
Temperature-dependent cytokine neutralization induced by magnetoelectric nanoparticles: an in silico study
Authors: Marrella Alessandra , Giannoni Paolo , Lenzuni Martina , Suarato Giulia , Fiocchi Serena , Chiaramello Emma , Ravazzani Paolo 
Published: August 2024

Abstract

Inflammatory cytokines cooperate to maintain normal immune homeostasis, performing both a protective and a pro-inflammatory action in different body districts. However, their excessive persistence or de-regulated expression may degenerate into tissue chronic inflammatory status. Advanced therapies should be designed to deploy selective cytokine neutralizers in the affected tissues. Magnetoelectric nanoparticles (MENPs) possess unexploited potentialities, conjugating their ferromagnetic nature, which enables confinement in a specific tissue by directed positioning when subjected to low-intensity magnetic fields, with the capability to generate high electric fields with elevated spatial resolution, when subjected to higher magnetic fields. This work proposes to exploit the extremely localized heat generated by Joule’s effect around MENPs under an external magnetic field to denature a harmful cytokine in a hypothetical tissue site. An interdisciplinary and multiphysics in silico study was conducted to provide a comprehensive modeling of the temperature distribution generated by MENPs decorated with a membrane-derived microvesicle (MV) coating designed to allocate a specific antibody to bind a target cytokine. A damage model was also implemented to provide an estimation of the influence of several design parameters on the cytokine denaturation efficacy, with the final goal to guide the future development of effective MENPs-based therapeutic applications and strategies.