bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomarker Discovery by Imperialist Competitive Algorithm in Mass Spectrometry Data for Ovarian Cancer Prediction
Authors: Pirhadi Shiva , Maghooli Keivan , Moteghaed Niloofar Yousefi , Garshasbi Masoud , Mousavirad Seyed Jalaleddin 
Published: June 2024

Background:
Mass spectrometry is a method for identifying proteins and could be used for distinguishing between proteins in healthy and nonhealthy samples. This study was conducted using mass spectrometry data of ovarian cancer with high resolution. Usually, diagnostic and monitoring tests are done according to sensitivity and specificity rates; thus, the aim of this study is to compare mass spectrometry of healthy and cancerous samples in order to find a set of biomarkers or indicators with a reasonable sensitivity and specificity rates.

Methods:
Therefore, combination methods were used for choosing the optimum feature set as t-test, entropy, Bhattacharya, and an imperialist competitive algorithm with K-nearest neighbors classifier. The resulting feature from each method was feed to the C5 decision tree with 10-fold cross-validation to classify data.

Results:
The most important variables using this method were identified and a set of rules were extracted. Similar to most frequent features, repetitive patterns were not obtained; the generalized rule induction method was used to identify the repetitive patterns.

Conclusion:
Finally, the resulting features were introduced as biomarkers and compared with other studies. It was found that the resulting features were very similar to other studies. In the case of the classifier, higher sensitivity and specificity rates with a lower number of features were achieved when compared with other studies.
Integrated Biosignal Analysis to Provide Biomarkers for Recognizing Time Perception Difficulties
Authors: Attar Eyad Talal 
Published: June 2024

Background:
Time perception refers to the capability to recognize the passage of time. The cerebellum is located at the back of the brain, underlying the occipital and temporal lobes. Dyschronometria is a cerebellar dysfunction, in which a person cannot precisely estimate the amount of time that has passed. Cardiac indicators such as heart rate (HR) variability have been associated with mental function in healthy individuals. Moreover, time perception has been previously studied concerning cardiac signs. Human time perception is influenced by various factors such as attention and drowsiness. An electroencephalogram (EEG) is a suitable modality for evaluating cortical reactions due to its affordability and usefulness. Because EEG has a high sequential outcome, it offers valuable data to explore variability in psychological situations. An electrocardiogram (ECG) records electrical signals from the heart to examine various heart conditions. The electromyography (EMG) technique detects electrical impulses produced by muscles.

Methods:
EEG, ECG, and EMG are integrated during time perception. This study evaluated the human body's time perception through the neurological, cardiovascular, and muscular systems using a simple neurofeedback exercise after time perception tasks. The three biosignals which are EEG, ECG, and EMG were investigated to use them as biomarkers for recognizing time perception difficulty as the main goal of the study. Five healthy college students with no health issues participated, and their EEG, ECG, and EMG were recorded while relaxing and performing a time wall estimation task and neurofeedback training. Previous research has shown the relationship between EEG frequency bands and the frontal center during time perception. Investigating the connection between ECG, EEG, and EMG under time perception conditions is significant.

Results:
The results show that ECG (HR), EEG (Delta wave), and EMG (root mean square) are critical features in time perception difficulties.

Conclusion:
The ability and outcomes of multiple biomarkers might allow for improved diagnosis and monitoring of the progress of any treatment applications such as biofeedback training. Furthermore, those biomarkers could be used as useful for evaluating and treating dyschronometria.
Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19
Authors: Aghazadeh Nasser , Moradi Paria , Noras Parisa 
Published: June 2024

Backgorund:
Nowadays, everybody's life is dominated by COVID-19, which might have been the source of severe acute respiratory syndrome coronavirus 2. This virus disrupts the lungs first of all. Recently, it has been found that coronavirus may affect the brain. Because all body actions rely on the brain, hence investigating its healthy is an essential item in coronavirus effects. Method: Brain image segmentation can be helpful in the detection of the regions damaged by the effects of coronavirus. Since every image given by photography devices may have noises, therefore, first of all, the brain magnetic resonance angiography (MRA) images must be denoised for best investigation. In the present paper, we have presented the construction of multishearlets based on multiwavelets for the first time and have used them for the purpose of denoising. Multiwavelets have some advantages to wavelets. Therefore, we have used them in the shearlet system to expand the properties of multiwavelets in all directions. After denoising, we have proposed a scheme for the automatic characterization of the initial curve in the active contour model for segmentation. Detecting the initial curve is a challenging task in active contour-based segmentation because detecting an initial curve far from the desired region can lead to unfavorable results. Results: The results show the performance of using multishearlets in detecting affected regions by COVID-19. Using multishearlets has led to the high value of peak signal-to-noise ratio and Structural similarity index measure in comparison with original shearlets. Original shearlets are constructed from wavelets whereas we have constructed multishearlets from multiwavelets.

Conclusion:
The results show that multishearlets can neutralize the effect of noise in MRA images in a good way rather than shearlets. Moreover, the proposed scheme for segmentation can lead to 0.99 accuracy.
In vitro Studies of Polycaprolactone Nanofibrous Scaffolds Containing Novel Gehlenite Nanoparticles
Authors: Baghbadorani Moloud Amini , Bigham Ashkan , Rafienia Mohammad , Salehi Hossein 
Published: June 2024

Background:
Recently, many studies have been done on the physicochemical properties and biocompatibility of polycaprolactone (PCL) scaffolds containing ceramic reinforcers in the field of bone tissue engineering. In this study, the physical, mechanical and biological properties of electrospined-fabricated PCL scaffolds containing gehlenite (GLN) nanoparticles (NPs) as a novel bioceramic were investigated.

Methods:
To obtain the appropriate mechanical properties, the solution contains 3%, 5%, 7%, and 10% wt. of GLN NPs were prepared. Fiber morphology was investigated by scanning electron microscopy. In order to evaluate the NPs distribution, Energy Dispersive X-Ray Spectroscopy, X-ray diffraction, and Fourier Transform Infrared Spectroscopy spectroscopy were used. The scaffold hydrophilicity was measured by the water contact angle test. The tensile test was used to check the mechanical strength of the scaffold. The proliferation of MG-63 cells was evaluated by the MTT test. Alkaline phosphatase (ALP) activity of MG-63 cells was also examined.

Results:
Average fibers' diameters and porosity of PCL/GLN7% were obtained 150–500 nm and 80%, respectively. An increase in the scaffold hydrophilicity was observed by the addition of GLN NPs. The strength of PCL/GLN7% was higher than the blank PCL scaffold. Cell proliferation of scaffolds containing GLN was higher than the blank PCL scaffold. A significant increase in the secretion of ALP for GLN-loaded scaffolds was seen.

Discussion:
The results showed that PCL/GLN7% composite scaffold could be a good candidate for bone tissue engineering.

Conclusion:
The overall results indicate that the scaffold (PCL /GLN7%) has suitable mechanical properties, a great cell compatibility for bone tissue regeneration.
Loss-Modified Transformer-Based U-Net for Accurate Segmentation of Fluids in Optical Coherence Tomography Images of Retinal Diseases
Authors: Darooei Reza , Nazari Milad , Kafieh Rahle , Rabbani Hossein 
Published: June 2024

Background:
Optical coherence tomography (OCT) imaging significantly contributes to ophthalmology in the diagnosis of retinal disorders such as age-related macular degeneration and diabetic macular edema. Both diseases involve the abnormal accumulation of fluids, location, and volume, which is vitally informative in detecting the severity of the diseases. Automated and accurate fluid segmentation in OCT images could potentially improve the current clinical diagnosis. This becomes more important by considering the limitations of manual fluid segmentation as a time-consuming and subjective to error method.

Methods:
Deep learning techniques have been applied to various image processing tasks, and their performance has already been explored in the segmentation of fluids in OCTs. This article suggests a novel automated deep learning method utilizing the U-Net structure as the basis. The modifications consist of the application of transformers in the encoder path of the U-Net with the purpose of more concentrated feature extraction. Furthermore, a custom loss function is empirically tailored to efficiently incorporate proper loss functions to deal with the imbalance and noisy images. A weighted combination of Dice loss, focal Tversky loss, and weighted binary cross-entropy is employed.

Results:
Different metrics are calculated. The results show high accuracy (Dice coefficient of 95.52) and robustness of the proposed method in comparison to different methods after adding extra noise to the images (Dice coefficient of 92.79).

Conclusions:
The segmentation of fluid regions in retinal OCT images is critical because it assists clinicians in diagnosing macular edema and executing therapeutic operations more quickly. This study suggests a deep learning framework and novel loss function for automated fluid segmentation of retinal OCT images with excellent accuracy and rapid convergence result.
Optimization of the Manufacturing Process and Mechanical Evaluation of a Functionally Graded Biodegradable Composite Screw for Orthopedic Applications
Authors: Zargar Kharazi Anosheh , Hosseini Emad , Shafaat Amir , Fathi Mohammad Hosein 
Published: June 2024

Background:
Metal screws are commonly used for fracture fixations. However, the high modulus of elasticity relative to bones and releasing metallic ions by the metal screw needed a second surgery to remove the implant after the healing period. Furthermore, the removal of metal screws following the healing of the bone is a serious problem that can lead to refracture due to the presence of holes in the screw. Bioresorbable screws can overcome most of the problems associated with metallic screws which motivated research on manufacturing nonmetallic screws.

Methods:
In this study, three-layer poly L-lactic acid/bioactive glass composite screws were manufactured according to functionally graded material theory, by the forging process. All of the physical and chemical parameters in the manufacturing stages from making composite layers to the forging process were optimized to obtain suitable mechanical properties and durability off the screw in load-bearing positions.

Results:
The tri-layer composite screw with unidirectional, ±20° angled, and random fibers orientation from core to shell shows a flexural load of 661.5 ± 20.3 (N) with a decrease about 31% after 4-week degradation. Furthermore, its pull-out force was 1.8 ± 0.1 (N) which is considerably more than the degradable polymeric screws. Moreover, the integrity of the composite screws was maintained during the degradation process.

Conclusions:
By optimizing the manufacturing process and composition of the composite and crystallinity, mechanical properties (flexural, torsion, and pull-out) were improved and making it a perfect candidate for load-bearing applications in orthopedic implants. Improving the fiber/matrix interface through the use of a coupling agent was also considered to preserve the initial mechanical properties. The manufactured screw is sufficiently robust enough to replace metals for orthopedic load-bearing applications.
In-Field Recording of Six Biaxial Angles and Plantar Pressures in Weightlifting through a Wearable System
Authors: Cárdenas-Rodríguez Miguel Fernando , Paute-Tigre Cristhian Geovanny , Bueno-Palomeque Freddy Leonardo 
Published: June 2024

Background:
Monitoring and evaluation of the techniques used in weightlifting are based on the subjective observation of the coach, which can ignore important aspects of short duration. This study aimed to implement an embedded system to register the angular variation of the hip, knee, and ankle joints, and plantar pressure during training.

Methods:
Four professional and four amateur athletes performed five snatch lifts. To evaluate the angular measurement, the tests were simultaneously videotaped and the results were contrasted.

Results:
The angular data presented a correlation coefficient of 0.92 and a delay of 495 ± 200 ms. The characterization of the sensors was implemented in a microcontroller with a mean absolute percentage error of 18.8% in the measurements. When comparing the average results between the elite and amateur groups, the amateur group performed a delayed descent in the first three phases of the lift and an accelerated descent in the fourth phase. A not uniform plantar pressure was registered in the same group, causing a reduction in the final speed of recovery with the barbell.

Conclusions:
The proposed system has been developed for biaxial angular registration of hip, knee, ankle, and plantar pressure during weightlifting snatch. The option to contrast between signals presented by the system met the requirements requested by the coaching staff and is seen as a promising quantitative analysis tool to support the coach and the athlete.
Quantitative Evaluation of Scatter Correction in 128-slice Fan-Beam Computed Tomography Scan using Geant4 Application for Tomographic Emission Monte Carlo Simulation
Authors: Azinkhah Iman , Sadeghi Mahdi , Sheikhzadeh Peyman , Malekzadeh Malakeh 
Published: June 2024

Background:
Simulation of tomographic imaging systems with fan-beam geometry, estimation of scattered beam profile using Monte Carlo techniques, and scatter correction using estimated data have always been new challenges in the field of medical imaging. The most important aspect is to ensure the results of the simulation and the accuracy of the scatter correction. This study aims to simulate 128-slice computed tomography (CT) scan using the Geant4 Application for Tomographic Emission (GATE) program, to assess the validity of this simulation and estimate the scatter profile. Finally, a quantitative comparison of the results is made from scatter correction.

Methods:
In this study, 128-slice CT scan devices with fan-beam geometry along with two phantoms were simulated by GATE program. Two validation methods were performed to validate the simulation results. The data obtained from scatter estimation of the simulation was used in a projection-based scatter correction technique, and the post-correction results were analyzed using four quantities, such as: pixel intensity, CT number inaccuracy, contrast-to-noise ratio (CNR), and signal-to-noise ratio (SNR).

Results:
Both validation methods have confirmed the appropriate accuracy of the simulation. In the quantitative analysis of the results before and after the scatter correction, it should be said that the pixel intensity patterns were close to each other, and the accuracy of the CT scan number reached <10%. Moreover, CNR and SNR have increased by more than 30%–65% respectively in all studied areas.

Conclusion:
The comparison of the results before and after scatter correction shows an improvement in CNR and SNR while a reduction in cupping artifact according to pixel intensity pattern and enhanced CT number accuracy.
Collapsed Cone Superposition Algorithm Validation for Chest Wall Tangential Fields using Virtual Wedge Filters
Authors: Zeinali Ahad , Molazadeh Mikaeil , Ganjgahi Samaneh , Saberi Hassan 
Published: June 2024

Background:
Virtual wedge (VW) is used in radiotherapy to compensate for missing tissues and create a uniform dose distribution in tissues. According to TECDOC-1583 and technical reports series no. 430, evaluating the dose calculation accuracy is essential for the quality assurance of treatment planning systems (TPSs). In this study, the dose calculation accuracy of the collapsed cone superposition (CCS) algorithm in the postmastectomy radiotherapy of the chest wall for breast cancer was evaluated by comparing the calculated and measured dose in VW fields.

Methods:
Two tangential fields with the typical VW angles were planned using ISOgray TPS in a thorax phantom. The CCS algorithm was used for dose calculation at 6 and 15 MV photon beams. The obtained dose distributions from EBT3 film spaces and TPS were evaluated using the gamma index.

Results:
The measured and calculated dose values using VW in a heterogeneous medium with different beam energies were in a good agreement with each other (acceptance rate: 88.0%–93.4%). The calculated and measured data did not differ significantly with an increase/decrease in wedge angle. In addition, the results demonstrated that ISOgray overestimated and underestimated the dose of the soft tissue and lung in the planned volume, respectively.

Conclusions:
According to the results of gamma index analysis, the calculated dose distribution using VW model with the CCS algorithm in a heterogeneous environment was within acceptable limits.
Home-based care for noncommunicable diseases and patient satisfaction: A community-based cross-sectional study from Tamil Nadu, India
Authors: Ravichandran Ganga , Olickal Jeby Jose 
Published: June 2024

ABSTRACT

Background and Aims:
In Tamil Nadu, India, the government has launched a home-based noncommunicable diseases (NCDs) care scheme to deliver health services at the doorstep of the beneficiaries. Hence, this study aimed to determine patient satisfaction and the factors associated with home-based care for diabetes and hypertension.

Methodology:
This community-based cross-sectional study was conducted from April to May 2022. The sample size was 427, and the participants were selected by a simple random sampling method. We used the Patient Satisfaction Questionnaire-18 to assess satisfaction.

Results:
The overall satisfaction score was 3.63 (0.44). Mean (standard deviation) satisfaction was highest in the financial aspect and the lowest in accessibility and convenience. The prevalence of adequate satisfaction with home-based care was 57% (95% confidence interval [CI]: 51.8%–61.4%). Participants belonging to social class 2 (adjusted prevalence ratio [aPR] = 1.5, 95% CI: 1.15–1.96), P = 0.002), having a duration of NCD between 1 and 5 years (aPR = 1.45, 95% CI: 1.10–1.92, P = 0.008), and not delivering all drugs for NCDs (aPR = 1.37, 95% CI: 1.05–1.80, P = 0.021) were significantly associated with inadequate satisfaction. However, 90% of the participants were willing to continue home-based NCD care.

Conclusion:
Overall, patient satisfaction was 57%. Measures to distribute all the medication and routine monitoring of the scheme are necessary.
The prevalence of metabolic syndrome and its components among South Indian Chenchu tribal adults
Authors: Luc Casey Morgan , Herrera Kara , Allam Ramesh , Gandhamalla Sabitha , Dharmakari Ramkishan , Dinaker Manjunath , Yeldandi Vijay 
Published: June 2024

ABSTRACT

Background:
Dietary patterns are paramount in the prevention and management of metabolic syndrome (MetS) yet the definition and criteria for MetS diagnosis varies. This analysis aims to estimate the prevalence of MetS among the adult Chenchu tribal population comparing International Diabetes Federation (IDF) and Adult Treatment Panel (ATP) definitions of MetS and assess the relationship between dietary patterns and MetS.

Materials and Methods:
Demographics, medical history, nutrition, and physical activity were collected among 337 South Indian Chenchu tribal adults. The prevalence ratios and 95% confidence intervals of MetS using ATP and IDF definitions were estimated and associations between individual components of the MetS definitions, demographics, and dietary patterns were assessed. Pearson correlation coefficients (r) were calculated between the Modified Finnish Diabetic Risk Score (FINDRISC)-Bahasa Indonesia instrument and MetS definitions.

Results:
The prevalence of MetS was low by IDF (25, 7.4%) and ATP (22, 6.5%) definitions, while reporting vigorous physical activity (202, 59.9%) and a “vegetarian” dietary pattern (173, 51.3%) were high. Increasing age, high mutton consumption, and “empty-calorie” dietary pattern were associated with an increased prevalence of MetS, while vigorous physical activity and “vegetarian” dietary pattern were protective of MetS. The modified FINDRISC was not highly correlated with IDF MetS (r = 0.47; P < 0.0001) or ATP MetS (r = 0.11; P = 0.0683).

Conclusions:
Healthy behaviors, such as vigorous physical activity and high vegetable consumption, may contribute to the low prevalence of MetS in Chenchu tribal adults. Future efforts should continue to monitor dietary patterns and the prevalence of MetS in the understudied South Indian Chenchu tribal population.
Dietary patterns among chronic kidney disease patients and their impact on their clinical course: A longitudinal study from rural Kanyakumari
Authors: Chandrasekaran Sundhareshwaran , Mookambika R. V. , Ashok Vishnu G. , Panicker Priya Ravindra , Nithya G. 
Published: June 2024

ABSTRACT

Background:
Nonpharmacological management of chronic kidney disease (CKD) by dietary modifications is an integral part in preventing the disease progression into renal failure. Fish has been recommended as a substitute protein instead of meat in renal diets. However, sardines and dried fish which are a staple diet in coastal areas may cause more harm than benefit. Hence, this study was designed to analyze dietary patterns of sardines, dried fish, meat and salt consumption and its impact among CKD patients.

Materials and Methods:
This longitudinal study was carried out among 100 CKD patients in Nephrology department, excluding seriously ill patients or those on hemodialysis. Dietary patterns were assessed using food frequency questionnaire. Renal parameters and clinical staging were estimated at the beginning of the study and after 2 months.

Results:
The mean age of the CKD patients was 55.29 years. The mean quantities of sardines, dried fish, meat, and salt consumed per week were 375 g, 70.1 g, 115.7 g, and 39.54 g, respectively. There was a statistically significant increase in the mean values of all renal parameters. Patients who had elevated creatinine and potassium levels had a statistically significant higher mean consumption of sardines and salt, respectively.

Conclusion:
The consumption of sardines, meat and salt was very high among the CKD patients. Worsening of disease was seen in almost half the study population. Culturally appropriate dietary guidelines are required for diet modifications in CKD patients.