bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of air mass trajectories on precipitation stable isotopes in Damascus, Syria – Statistical analysis of daily and monthly rainfall sampling
Authors: Kattan Zuhair , Nasser Saeid 
Published: July 2023

Abstract

Ratios of the stable isotopes (δ18O and δ2H) and deuterium excess (d-excess) values in daily and monthly composite rainwater (RW) samples collected at the Damascus area over a period of 12 years were determined to evaluate the influence of air mass trajectories on their variability. The HYSPLIT model was used for simulating the back air mass trajectories and computation of the key meteorological parameters along the trajectory path of the air masses producing single rain events. Eight major trajectory classes were distinguished for the potential rain events occurred during the studied period. The fractions of the trajectories came from the North Atlantic Ocean (AO), North Pole (NP) and the Mediterranean Sea (MS) were the highest (total ≈ 85%), whereas those of the trajectories came from the Black Sea (BS), Arabian Sea (AS) and Arabian Gulf (AG) were the lowest (each class is < 5%). The daily RW samples associated with the Siberian plateau (SP), AO, NP, MS and to some extent north Africa (NA) air masses were isotopically the most depleted (δ18O <–4‰, δ2H <–25‰, and d–excess > 10‰), whereas those coupled with the trajectories came from the BS, AS, and AG were isotopically the most enriched ​​(–2.5‰ < δ18O < − 1.0‰ and d-excess < 10‰). The findings from this study may offer new insights to better understand the effects of air mass trajectories on precipitation stable isotopes in the Eastern Mediterranean region.
“Bone in the penis” or fasciitis ossificans of the penis – a first time description of a pseudo-tumor at an extraordinary site
Authors: Lenart Sebastian , Koperek Oskar , Scharrer Anke , Comperat Eva 
Published: July 2023

Abstract
Background: Fasciitis ossificans is a rare subtype of nodular fasciitis, a benign soft tissue tumor of reactive character. It is often misdiagnosed as a malignant tumor due to its rapid growth. Most commonly fasciitis ossificans originates from the subcutis with appearance throughout the whole body, but it may arise from extraordinary sites, too.
Case presentation: We report the first case ever described of this entity deriving from the penis in a male patient presenting with a tumor on the glans penis. The tumor was resected because of a suspicion of penile cancer. Initial histopathological analysis misled to diagnosis of squamous cell carcinoma. Pathologic counseling finally led to the diagnosis of fasciitis ossificans of the penis deriving from the glans penis by showing ossification.
Conclusion:This case shows that diagnosis of fasciitis ossificans can originate from any soft tissue, even from penile soft tissue.
Evaluation of crestal sinus floor elevation in cases exhibiting an oblique sinus floor with a residual bone height of 4.0-7.0 mm using densah burs with simultaneous implant placement. A prospective clinical study
Authors: Shalash Mahmoud , Mounir Mohamed , Elbanna Tala 
Published: July 2023

Abstract
Purpose
To evaluate the efficacy of using Densah burs in lifting the maxillary sinus membrane in cases with an oblique sinus floor with a residual bone height (RBH) of 4–7 mm.
Methods
The study was conducted on 16 patients (9 males and 7 females, ages 25–60 years). Sinus floor elevation was achieved using Densah burs utilizing the osseodensification concept (OD), with dental implants placed simultaneously. The sinus membrane integrity was checked clinically and confirmed with cone beam computed tomography (CBCT).
Results
Out of 16 cases, 1 case exhibited sinus membrane perforation confirmed clinically at the time of operation. A mean lift of 4.42 mm was achieved in all cases. A mean final seating torque of 35.5 N/cm was achieved for all implants. At the one-year follow-up, all cases exhibited clinical success with no signs of sinus pathology or complications.
Conclusion
In moderately atrophic posterior maxilla with a RBH 4–7 mm, OD proved to be a safe and effective method in performing sinus lift procedures in cases with oblique sinus floors.
Measuring satisfaction with public bike sharing services via rating transformation methods
Authors: Manzi Giancarlo 
Published: July 2023

Abstract
Respondents’ perception of survey questions is the results of a cognitive process linked to the will of responding and the decision-making process at the moment of providing answers. Some respondents appear to be more able to analyse and inter- pret questions, resulting in more reliable answers, compared to other respondents who are less prone to cooperate. Methodological tools can reduce the indeter- minacy of the questionnaires and in some cases limit the predicted errors that can occur. Nonlinear Principal Component Analysis (NLPCA) and Combination of Uniform and Binomial (CUB) models provide a receptive instrument for sur- vey analysis especially for evaluating satisfaction with the public sector which is guided by different mechanisms with respect to those in the private sector. There- fore, it is important to establish to what extent the positive results are real or just ephemeral and bounded to certain circumstances. In this article we analyse this phenomenon by using the data of an online questionnaire on the satisfac- tion achieved between customers of the public bicycle sharing system ’BikeMi’ in Milan, Italy, at a time when mobile technologies were introduced for speed up the service. On the surface, overall satisfaction was very high. However, our goal was to look for potential ’darker’ sides of service to detect possible components of hidden satisfaction. To this end, we used a statistical technique, namely the nonlinear CUB model, to build up a new composite satisfaction indicator. We compared the performance of this new indicator to that of another satisfaction indicator based on NLPCA.
Self-calibrating sensor based on S-CNF/Au NSs for the detection of malondialdehyde levels in the serum of patients with gastric cancer
Authors: Wang Wenxi , Han Sirui , Ren Junjie , Xiao Xiufeng , Chen Jingbo , You Ruiyun , Zhang Guifeng , Lu Yudong 
Published: July 2023

Abstract
Cellulose-gold nano stars 2D substrates (S-CNF/Au NSs) with outstanding homogeneity and stability were prepared. S-CNF/Au NSs were modified with PATP, and the ratio of I1655 (the C = N bond produced by the Schiff base reaction with MDA) to I1078, whose intensity was almost unaffected under acidic conditions, was further ensured by self-calibration to ensure the substrate homogeneity and credibility, while ensuring the simplicity of the portable SERS instrument. The impact of the portable Raman instrument on the study due to the variation of peak intensity without the use of microscope focusing was reduced, and a linear detection range of 2.5 × 10− 2~2.5 × 10− 4 mM and a LOD of 9.14 × 10− 11 mM were achieved. This SERS substrate also has the ability to sensitively differentiate between serum of gastric cancer patients and healthy individuals (p < 0.0001), which is superior to colorimetric analysis (p < 0.01).
Development of MoS2Flowers Adorned Pencil Graphite Electrode for Electro-Kinetic Investigations and Voltammetric Quantification of Anti-Epileptic Drug Levetiracetam
Authors: Agarwal Rinky , Jhankal Deependra , Yadav Rajesh , Jhankal KK 
Published: July 2023

Abstract
The fast, accurate, and affordable determination of anti-epileptic drug levetiracetam (LEV) is the need of time for human health. In this study, an electrochemical sensor platform was proposed for the cost-effective and sensitive determination of the levetiracetam based on molybdenum sulfide nano-flowers adorned pencil graphite electrode (MoS2/PGE). The nano-flowers of MoS2 were prepared by a cost-effective one-step facile hydrothermal method and the morphology of synthesized MoS2 micro-flowers was characterized via FESEM, XRD, and EDS techniques. Under the optimized experimental conditions, cyclic, linear sweep, and square wave voltammograms of LEV were recorded. The diffusion-controlled electrochemical oxidation of LEV produced one well-defined irreversible peak in all voltammograms. The various electro-kinetics parameters like diffusion coefficient (Do =1.41×10− 5 cm2s− 1), heterogeneous rate constant (Kh=9.04×10− 4 cms− 1), electron transfer coefficient (α = 0.66), the surface area of the fabricated electrode (A = 0.0767 cm2) and surface coverage (Γo = 2.98×10− 11 molcm− 2) were evaluated for the oxidation of LEV at MoS2/PGE. The square wave stripping voltammetry (SWSV) method was optimized for the quantification of LEV in pharmaceutical samples. The oxidative peak current in SWSV methods varies linearly with LEV concentration within the range 72.0 to 130.0 µmolL− 1 with detection limit (LOD) value of 14.20 µmolL− 1. The proposed MoS2/PGE platform provides a sensitive, low cost and eco-friendly tool for the rapid detection of LEV in clinical samples.
Application of similarity optimization deep forest in the classification of unbalanced datasets
Authors: Chen Hongwei , Zhang Fengzhou , Peng Zihong , Wang Han 
Published: July 2023

Abstract
In fields such as computer vision, information security, and healthcare, data classification faces the challenge of uneven data distribution. To address this problem, the academic community has proposed the Deep Forest algorithm, which combines random forest and extremely random forest techniques. However, in random forests, there are differences in the classification performance of decision trees, and it is not possible to control the diversity of decision trees, which may affect the algorithm’s performance. This paper proposes a method called LCHCDF (Low-Coupling and High-Cohesion Deep Forest) classifier to address these issues, which uses AUC evaluation and inner product comparison strategies to handle them. Experimental validation on UCI datasets shows that LCHCDF has good classification accuracy and scalability and performs well in large-scale imbalanced network attack datasets. In addition, we also propose a distributed improvement algorithm that divides the random forest into sub-forests for parallel computation. The experimental results demonstrate that the LCHCDF algorithm performs well in terms of scalability and classification accuracy.
Industrial Utilization or Storage of CO2? A Compound Real Options Valuation for the Retrofitting of Coal-Fired Power Plants
Authors: Yu Qinghan , Madlener Reinhard 
Published: July 2023

Abstract

We investigate the sequential investment in carbon capture and storage (CCS), i.e., the case of retrofitting a coal-fired power plant, and then in carbon capture and utilization (CCU) for methanol production. A (nested) compound real options model based on a backward recursive dynamic programming algorithm is used for the analysis. The options to invest in CCS and CCU are investigated individually first, and then sequentially, leading to a hybrid CCUS plant that enables both methanol production and CO2 storage. The prices of electricity, carbon and methanol are considered as stochastic and correlated with each other. Managerial flexibility exists regarding a postponement of the investment decision and the real-time optimization between selling methanol to the market or storing CO2 for earning carbon credits after establishing the CCUS plant. We find that at today’s relatively high CO2 prices CCS investment is economically rational, whereas CCU for methanol is not. Combining CCS with CCU increases the overall investment probability and potential for larger profits. Since methanol is more valuable than CO2, CCU can be expected to dominate the value of the compound option for the case of favorable market conditions (i.e., sufficiently high methanol and CO2 prices).
JEL Classification Nos.: C61, G11
Relationship between Disgust and Orthorexia Nervosa and psychometric properties of the Italian Dusseldorf Orthorexia Scale in a general population sample
Authors: Aloi Matteo , Moniaci Martina , Rania Marianna , Carbone Elvira Anna , Martino Gabriella , Segura-Garcia Cristina , Liuzza Marco Tullio 
Published: July 2023

Abstract
Background
It remains unclear among clinicians and researchers whether Orthorexia Nervosa (ON) is a part of the obsessive-compulsive disorder (OCD) spectrum or eating disorders (EDs). Disgust seems to be a shared psychopathological factor in these clinical presentations, indicating a potentially crucial role in ON. On the other hand, numerous psychometric tools have been developed to evaluate ON. The Dusseldorf Orthorexia Scale (DOS) was recently validated in an Italian sample. However, the study's primary limitation was that the scale was only administered to undergraduate university students. This study aimed to investigate the psychometric properties (including factorial structure, reliability, and measurement invariance conditional on sex) of the Italian version of the DOS (I-DOS) on a sample from the general population. Additionally, the study sought to determine the nomological validity of the I-DOS by examining its relationship with disgust sensitivity.
Methods
A sample of 521 participants took part in this study and completed a battery that assessed ON and disgust sensitivity. To assess the I-DOS structure, reliability, and measurement invariance we respectively conducted confirmatory factor analysis (CFA), computed McDonalds’s omega, and performed hierarchical series of multigroup CFAs. Then, we tested the relationship between ON and disgust sensitivity.
Results
CFA confirmed the unifactorial model of I-DOS and it respected the configural, metric, and strict invariance while a partial scalar invariance was achieved. It also showed good reliability with an omega of 0.87. In addition, we found a positive relationship between ON and disgust sensitivity, thus confirming the nomological validity of I-DOS.
Conclusions
Our findings suggest that the Italian version of the Dusseldorf Orthorexia Scale (I-DOS) exhibits strong psychometric properties and can be an effective instrument for assessing ON in a general population sample. Notably, the most significant and innovative outcome was the positive correlation between ON and disgust sensitivity. As disgust has been linked to other clinical presentations, this preliminary result could serve as a foundation for future research exploring this phenomenon in greater detail.
Posterior Central Laminectomy for Bilateral Decompression under a Unilateral Biportal Endoscopic approach for Multi-segmental Cervical Stenosis: Anatomic and Technical note
Authors: Fu Hao , Hu Yutong , Tang Ziheng , Xu Weibing , Yang Dongfang 
Published: July 2023

Abstract
Background
Cervical spondylotic myelopathy (CSM) caused by multi-segment cervical stenosis is a common spinal surgery disease with severe neurological dysfunction. The surgical goal was to achieve full canal decompression while minimizing damage to the normal structures. Unilateral biportal endoscopy (UBE), due to its good visualization, independent view-working portals, and wider instrument availability, can be utilized to efficiently and safely complete a laminectomy under endoscopy.
Objective
This study was to determine the efficiency and safety of a novel cervical laminectomy technique and introduce some new endoscopic anatomic concepts.
Methods
We report on 3 cases of multi-segment of cervical stenosis. The author attempted combinations of "laminectomy", "hemilaminectomy", and "ligamentum flavum resection" under UBE for different cervical cases. The postoperative neurological improvement and perioperative complications were used to determine the efficiency and safety.
Results
All 3 patients got significant improvement after surgery. And no complication was observed. This study described in detail the surgical steps and introduced new anatomic concepts that "infraspinous absence range (IS-AR)" and "ligamentum flavum-interspinous space (LF-IS space)".
Conclusion
Central laminectomy for bilateral decompression (CLBD) under UBE is an effective surgical method for the treatment of CSM caused by multi-segment cervical spinal stenosis. It can achieve the same decompression effect as traditional open cervical laminectomy while protecting the paraspinal muscles and posterior ligament complex which can avoid postoperative axial symptoms and cervical stiffness. However, due to the small size of the spinal canal and the small perturbation tolerance of the cervical spinal cord, the learning curve will be slightly high.
China Clinical Trial registration number：ChiCTR2200065144.
Porous Asphalt Mixtures Enriched with Bamboo Fibers as a New Approach for Future Sustainable Construction
Authors: Jaya Ramadhansyah Putra 
Published: July 2023

Abstract

Porous Asphalt (PA) is a highly permeable asphalt surface used to create and maintain permeable pavements for storm water management and runoff reduction. Under the impacts of repetitive vehicle loads, warm weather, and heavily rainfall, the structure was vulnerable to deterioration from cracking, rutting, stripping, and quick ageing. This research aims to examine the role of bamboo fiber in improving the physical and mechanical properties and overcome the issue related to PA. Among the tests involve are Cantabro loss, permeability, binder draindown, stability and resilient modulus. Two types of PA gradation involved with four different proportion of bamboo fiber (0.2%, 0.3%, 0.4%, 0.5%). From the findings, it could be conducted that the existence of bamboo fiber can significantly improve the PA performance for both gradations. From this study, the sustainable development for flexible pavement is also has been promoted by using natural fiber as an additive.
Origin-Destination Demand Prediction for Ride-sharing with Deep Bayesian Learning
Authors: Zhou Shen Eric 
Published: July 2023

Abstract
With the rise of ride-sharing services, accurately predicting origin-destination demand has become a critical task for ensuring efficient allocation of resources and enhancing the overall user experience. Traditional demand prediction methods often rely on deterministic models that fail to capture the inherent uncertainty and variability in travel patterns. In this paper, we propose a novel approach for origin-destination demand prediction in ride-sharing using deep Bayesian learning techniques. By leveraging the power of deep neural networks and the flexibility of Bayesian modeling, our method not only provides accurate demand estimates but also quantifies the associated uncertainties. We demonstrate the effectiveness of our approach through extensive experiments on a real-world ride-sharing dataset, comparing it with several baseline methods commonly used in the field. The experimental results showcase the superior performance of our proposed method in accurately predicting the origin-destination demand in ride-sharing. Our approach achieves significantly lower mean absolute error (MAE) and root mean square error (RMSE) compared to the baseline methods, indicating its improved accuracy. Moreover, our method demonstrates a higher coverage probability, highlighting its better reliability and uncertainty estimation capabilities. The key contributions of our paper include the development of a deep Bayesian neural network for demand prediction, the introduction of probabilistic layers to capture uncertainties, and the utilization of dropout regularization for improved uncertainty estimation. Our proposed approach offers a robust and scalable solution for accurate origin-destination demand prediction in ride-sharing, providing valuable insights for decision-making and resource allocation.
In-vitro Evaluation of Triazine Scaffold for Anticancer Drug Development:
A Review
Authors: Dubey Pragya , Pathak Dharam Pal , Ali Faraat , Chauhan Garima , Kalaiselvan Vivekanandan 
Published: July 2023

Introduction:
The widespread importance of the synthesis and modification of anticancer
agents has given rise to many numbers of medicinal chemistry programs. In this regard, triazine derivatives
have attracted attention due to their remarkable activity against a wide range of cancer cells.
This evaluation covers work reports to define the anticancer activity, the most active synthesized
compound for the target, the SAR and, when described, the probable MOA besides similarly considered
to deliver complete and target-pointed data for the development of types of anti-tumour medicines
of triazine derivatives. Triazine scaffold for the development of anticancer analogues. Triazine
can also relate to numerous beneficial targets, and their analogues have auspicious in vitro and in vivo
anti-tumour activity. Fused molecules can improve efficacy, and drug resistance and diminish side effects,
and numerous hybrid molecules are beneath diverse stages of clinical trials, so hybrid derivatives
of triazine may offer valuable therapeutic involvement for the dealing of tumours.

Objective:
The objective of the recent review was to summarize the recent reports on triazine as well
as its analogues with respect to its anticancer therapeutic potential.

Conclusion:
The content of the review would be helpful to update the researchers working towards
the synthesis and designing of new molecules for the treatment of various types of cancer disease with
the recent molecules that have been produced from the triazine scaffold. Triazine scaffolds based on
1,3,5-triazine considerably boost molecular diversity levels and enable covering chemical space in key
medicinal chemistry fields.
Virus-like Particles for Disease Diagnosis and Drug Delivery Applications
Authors: Sharma Rishav , Malviya Rishabha 
Published: July 2023

Abstract:
Virus-like particles (VLPs) are nanoscale, self-assembling cage structures made out of
proteins with practical uses in biomedicine. They might be used to create better vaccinations,
imaging equipment, gene and drug therapy delivery systems, and in vitro diagnostic equipment.
VLPs are nanostructures that might be used in medicine, immunization, and diagnostics, among
other areas. Many VLPs-based vaccines are now in use for the treatment of infectious diseases,
and many more are on their way to clinical testing thanks to recent advancements in biomedical
engineering. Although VLPs exhibit promising qualities in terms of efficacy, safety, and diversity,
they may become more widely used in the future. Vaccines based on virus-like particles
(VLPs) might serve as an effective addition to current immunization strategies for the prevention
and treatment of emerging infectious diseases. The growing field of healthcare prevention has
become increasingly interested in VLPs, leading to the discovery of various VLP-based candidate
vaccines for vaccination towards a wide range of infectious pathogens, one of the most
recent that has been developed is the vaccine against SARS-CoV-2, the effectiveness of that is
now being tested. VLPs can elicit both antibody and cell-mediated immune responses, unlike
standard inactivated viral vaccines. However, several problems persist with this surface display
method and will need fixing in the future. VLPs-based medicinal delivery, nanoreactors for
treatment, and imaging systems are being developed with promising results. The latest developments
in the generation and fabrication of VLPs involve explorations of several expression systems
for their creation and their application as vaccines for the avoidance of infectious diseases
and malignancies. This manuscript offers the most advanced perspective on biomedical applications
based on VLPs, as well as details innovative methods for manufacturing, functionalization,
and delivery of VLPs.