bluuebunny/crossref_metadata_2025 huggingface dataset:
Sleep Quality and Fatigue During Exam Periods in University Students: Prevalence and Associated Factors
Authors: Bouloukaki Izolde , Tsiligianni Ioanna , Stathakis Georgios , Fanaridis Michail , Koloi Athina , Bakiri Ekaterini , Moudatsaki Maria , Pouladaki Eleni , Schiza Sophia
Published: June 2023

The aim of our study was to assess university students’ sleep quality and fatigue before and during the academic exam period and identify potential associated factors. A Web-based survey was completed by 940 students of 20 different Tertiary Institutions including demographics, sleep habits, exercise, caffeine, tobacco, alcohol use, subjective sleep quality (Pittsburgh Sleep Quality Index - PSQI) and fatigue (Fatigue severity scale – FSS) at the beginning of semester and at examination period. During exam period, PSQI (8.9 vs 6.1, p<0.001) and FSS scores (36.9 vs 32.7, p<0.001) were significantly elevated compared to pre-exam period. Increase of PSQI score was associated with age (β=0.111, p=0.011), presence of chronic disease (β=0.914, p=0.006), and depressive symptoms (β=0.459, p=0.001). Increase of FSS score was associated with female gender (β=1.658, p<0.001), age, (β=0.198, p=0.010), increase in smoking (β=1.7, p=0.029), coffee/energy drinks consumption (β=1.988, p<0.001), decreased levels of physical exercise (β=1.660, p<0.001), and depressive symptoms (β=2.526, p<0.001). In conclusion, our results show that sleep quality and fatigue are affected in university students during exam periods. Potential factors were identified which may lead to development of strategies for better quality of sleep, and wellbeing.
Transmission Lines Small Target Detection Algorithm Research Based on YOLOv5
Authors: Cheng Qiuyan , Yuan Guowu , Chen Dong , Xu Bangwu , Chen Enbang , Ren Ying , Zhou Hao
Published: June 2023

The images captured by UAVs during inspection often contain numerous small targets related to transmission lines, which are critical and vulnerable elements for ensuring the safe operation of these lines. However, due to various factors such as the small size of the targets, low resolution, complex background, and potential line aggregation, achieving accurate and real-time detection becomes challenging. To address these issues, this paper proposes a detection algorithm called P2-ECA-EIOU-YOLOv5 (P2E-YOLOv5). Firstly, in order to address the challenges posed by the complex background and environmental interference that impact small targets, an ECA attention module is integrated into the network. This module effectively enhances the network's focus on small targets while concurrently mitigating the influence of environmental interference. Secondly, considering the characteristics of small target size and low resolution, a new high-resolution detection head is introduced, which is more sensitive to small targets. Lastly, the network utilizes the EIOU-Loss as the regression Loss function to improve the positioning accuracy of small targets, as they tend to aggregate. Experimental results demonstrate that the proposed P2E-YOLOv5 detection algorithm achieves an accuracy P of 96.0% and an average accuracy (mAP) of 97.0% for small target detection in transmission lines.
Model Hierarchy to Reanalyze Results from an Archetypical Experiment on the Kinetics of Heterogeneous Nucleation – the Electrodeposition of Hg on Pt, by I. Markov and E. Stoycheva
Authors: Kleshtanova Viktoria , Ivanov Vasil , Hodzhaoglu Feyzim , Prieto Jose Emilio , Tonchev Vesselin
Published: June 2023

We employ hierarchy of models (HoM) with 2, 3 and 4 parameters to reanalyze the nucleation kinetics in the electrodeposition as quantified by n(t) - “the number of nuclei vs. time” data obtained at different overvoltages from precise experiments on electrodeposition of Hg on two different types of Pt-cathodes by Ivan V. Markov and Evgenia Stoycheva [1]. The obtained two scales, nmax and , are used to rescale the original data mapping it on a master curve in coordinates . Our main result is obtained by studying further the dependence of these two scales on the overvoltage (analogue of supersaturation). Surprisingly, for one of the two cathode types - the “hemispherical single-crystal electrode” (as defined by the authors), there is discontinuity in the “ vs. overvoltage” dependence – an almost horizontal jump from 85 to 86 mV accompanied by a change in the slope of the dependence - it is ~ -1 and ~ -0.5 after. For the other cathode - “plane structureless platinum electrode”,  decreases smoothly. Combined, these two behaviors point at the so called “cusp catastrophe”. We compare our findings with published results on protein nucleation.
An Overview of Active Electrode Materials for the Efficient High-performance Supercapacitor Application
Authors: Vanaraj Ramkumar , A Bharathi , M Gopiraman , S.M Suresh Kumar , Kim Seong-Cheol
Published: June 2023

The present review article concludes with three different types of materials recently used to enhance the efficiency of supercapacitors. The first type involves carbon-based materials for storage and supercapacitor applications. The carbon materials could be obtained naturally and synthesized manually based on the needs. The second type discusses the recent advances in metal oxide materials for high-performance supercapacitors. The metal oxide materials involve in different types of attachment through the bi-tri metallic bonding, which enhances the specific capacitance. The third type involves recently advanced materials for high energy and power density application. The power and energy density of the materials is enhanced by the surface modification of the materials. In recent days, the MXene and Nano-composite materials seems to be an appropriate material to increase the power and energy density of the device.
Lymphatic System – Surgeon’s Point of View
Authors: Almeida Alexandre , Ofir Hagit , Zeltzer Assaf A
Published: June 2023

Lymphedema is a chronic and debilitating disease that affects up to 250 million patients worldwide. Recent advances in understanding its pathophysiology, along with improved diagnosis and microsurgical techniques, have enhanced our ability to cope with the challenging task of treating this disease. This review provides an overview of the disease from a surgeon's point of view, including existing imaging modalities used for preoperative assessment, as well as surgical procedures used in its treatment. Advantages and drawbacks of various existing modalities used for pre or intraoperative assessment of lymphatic vessels are discussed. Lymphedema treatment has shifted from palliative debulking procedures (liposuction and direct excision) to those aimed at restoring lymphatic flow and countering the pathophysiology of the disease (lymphaticovenous anastomosis and vascularized lymph node transfer). A combination of both approaches can result in a synergistic benefit for patients and are discussed in this review. Despite recent advances, some controversies persist, and further studies are needed to better define surgical treatment algorithms.
Olive Oil Phenolic Compounds Activity Against Age-Associated Cognitive Decline: Clinical and Experimental Evidence
Authors: Boronat Anna , Serreli Gabriele , Rodríguez-Morató Jose , Deiana Monica , De la Torre Rafael
Published: June 2023

Epidemiological studies have shown that consuming olive oil rich in phenolic bioactive compounds is associated with a lower risk of neurodegenerative diseases and better cognitive performance in aged populations. Since oxidative stress is a common hallmark of age-related cognitive decline, incorporating exogenous antioxidants could have beneficial effects on brain aging. In this review, we firstly summarize and critically discuss the current preclinical evidence and the potential neuroprotective mechanisms. Existing studies indicates that olive oil phenolic compounds can modulate and counteract oxidative stress and neuroinflammation, two relevant pathways linked to the onset and progression of neurodegenerative processes. Secondly, we summarize the current clinical evidence. In contrast to preclinical studies, there is no direct evidence in humans of the bioactivity of olive oil phenolic compounds. Instead, we have summarized current findings regarding nutritional interventions supplemented with olive oil on cognition. A growing body of research indicates that high consumption of olive oil phenolic compounds is associated with better preservation of cognitive performance, conferring an additional benefit, independent of the dietary pattern. In conclusion, the consumption olive oil rich in phenolic bioactive compounds has potential neuroprotective effects. Further research is needed to understand the underlying mechanisms and potential clinical applications.
An Experimental and Numerical Investigation of Characteristics and Mechanism of Spacing Cracks in Loess Considering Size Effect
Authors: Wei Xin , Zhou Yunru , Chen Xuanyi
Published: June 2023

Loess is a special soil with high water sensitivity, which covers a large area in northwest China. Cracks are prone to generate in loess under the arid and semi-arid climate, which will provide the preferential channel for water and reduce the mechanical properties of soils. It is of great significance to understand the evolution characteristics and mechanisms of the cracks in loess areas. At present, the researches on cracks in soils are mainly concentrated in the characteristics of different cracking patterns. However, the spacing cracks are mostly discussed in materials like rock and concrete, rather than soils. The cracking characteristics and mechanisms of spacing cracks in loess is still inadequate. In this research, the drying tests of loess are carried out with different sizes of specimens. The parameters of spacing cracks and local strain distributions of the loess samples are obtained via PCAS and DIC methods during desiccation, respectively. The cracking modes, space cracking laws like insertion and saturation of spacing cracks are revealed. Finally, the size effect on the characteristics of spacing cracks is verified with a discrete element software MatDEM.
Preparation of High Selenized Gastrodia elata Blume Polysaccharides and Its Immunomodulatory Effects on RAW 264.7 Macrophages and Cyclophosphamide-treated Mice
Authors: Ma Fengwei , Wen Qihua , Deng Qingfang , Lu Yihao , Zhang Buyan , Cheng Yongyou , Xu Su
Published: June 2023

Selenium (Se) is an essential trace element for human beings and Se supplementation is of great significance. In this paper, high selenized Gastrodia elata Blume Polysaccharides (SeGEP) were obtained through pre-sulfation before conducting the selenylation modification process, which owned a maximum Se content reach to 2.29%. UV, FT-IR, NMR, SEM, EDX, HPLC, size-exclusion chromatography and periodate oxidation analysis showed that the seleninic group had been successfully introduced into GEP with the substitution position at C-6 of glucose. Immunostimulating assays were conducted in vitro and in vivo on RAW 264.7 cells and cyclophosphamide (CTX)-induced mice model, respectively. The results showed that Se-GEP enhanced RAW264.7 cells proliferation, cell phagocytosis, and secretion of nitric oxide (NO) and interleukin (IL)-1β factors. In addition, Se-GEP enhanced the immunologic activity of CTX-treated mice by increasing the spleen and thymus indices, enhancing the phagocytic function, and activating both Th1 and Th2 lymphocytes. The current outcome also suggested that Se-GEP with covalently bonding Se group possessing increased safety and has a potential dietary selenium nutrient for improving human immunity.
A Safety Warning Model Based on IAHA-SVM for Coal Mine Environment
Authors: Li Zhen , Feng Feng
Published: June 2023

Coal is an important resource that is closely related to people’s lives and has an irreplaceable role. However, coal mine safety accidents occur from time to time in the process of working underground. To this end, this paper proposes a coal mine environmental safety early warning model to detect abnormalities and ensure worker safety in a timely manner by assessing the underground climate environment. In this paper, the support vector machine (SVM) parameters are optimized using an improved artificial hummingbird algorithm (IAHA), and its safety level is classified by combining various environmental parameters. To address the problems of insufficient global exploration capability and slow convergence of the artificial hummingbird algorithm during iterations, a strategy incorporating Tent chaos mapping and backward learning is used to initialize the population, a Levy flight strategy is introduced to improve the search capability during the guided foraging phase, and then the simplex method is introduced to replace the worst value before the end of each iteration of the algorithm. The IAHA-SVM safety warning model was established using the improved algorithm to classify and predict the safety of the coal mine environment into four classes. Finally, the performance of the IAHA algorithm and the IAHA-SVM model are simulated separately. The simulation results show that the convergence speed and the search accuracy of the IAHA algorithm are improved, and the performance of the IAHA-SVM model has a significant improvement.
Chronic Effects of Eccentric-Overload Training with Inertial Devices on Adolescents’ Physical Capacities in Team Sports: A Systematic Review.
Authors: Lopez Mariscal Samuel , Reina Gomez Alvaro , Suárez-Arrones Luis , Ortega-Becerra Manuel Alejandro
Published: June 2023

Inertial training is one of the most popular training methodologies in the last years and one of the objects of study in recent literature, however more studies are necessary to know its usefulness in young athletes. The aim of the current systematic review is to evaluate the current literature surrounding the chronic effect of inertial training on physical capacities of team sports through functional test. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA). The results revealed the effectiveness of these tools for improving abilities such jumps, sprints, change of directions and power measure. In conclusion, inertial training can be an adequate stimulus for the better performance in young athletes on team sports.
Malagasy Amphibian Wildlife Trade Revisited: Improving Management Knowledge of the Trade
Authors: Carpenter Angus I. , Andreone Franco
Published: June 2023

Madagascar is a biodiversity hotspot with a long history of trading in its wildlife, especially its hyper diverse Amphibian taxa. Due to globally raised concerns over the conservation for harvested amphibian species on Madagascar, CITES was introduced as a global mechanism to monitor and regulate the trade. Utilising data collated from the CITES Trade database, this study sought to investigate the trade and CITES effectiveness in managing the trade. Over the 28 year period investigated, 20 known amphibian species were exported from Madagascar with a total of nearly 271,000 individuals. Formal descriptions of Malagasy amphibian species has and continues to increase greatly over time, there has not been a concomitant, longitudinal relationship in the numbers of individuals traded. Overall, the numbers of individuals traded has declined over time but, where assessments were provided by the IUCN Redlist, population declines were reported in all but one species of Malagasy amphibian. Mantella (97.5%) continue to dominate the trade with certain, high conservation concern species continuing in the trade. Despite early concerns over the effectiveness of CITES actions, after concerted efforts it appears that CITES actions were having an impact in regulating the trade. However, going forward, concerns remain over the appropriateness of the quotas set and the robustness of their underpinning NDFs. Furthermore, with the increase in recognised species raises the potential for incorrect species labelling on CITES permits that needs attention.
Gut Microbiome and Diabetes – A Bibliometric and Narrative Review
Authors: Mishra Ashutosh , Mishra Pallavi , Mishra Vinaytosh
Published: June 2023

Gut microbiota is a complex and dynamic ecosystem that influences various aspects of human health. Unfortunately, there is a lack of literature highlighting the importance of gut microbiome especially in diabetes management. This paper performs bibliometric analysis to establish the rising interest of researchers in this area and the importance of gut microbiota in diabetes management. Subsequently, the study performs a narrative review to provide an overview of the gut microbiota consisting of bacteria, archaea, fungi, and viruses, and its diversity, composition, and variation among individuals. The paper further discusses the role of the gut microbiota in different diseases, including Clostridium difficile infection, behavioral disorders, cancer, obesity, diabetes, atherosclerosis, and inflammatory bowel disease, among others. It emphasizes the link between gut dysbiosis (imbalanced gut microbiota) and the development of chronic metabolic disorders. Additionally, the paper discusses the factor negatively impacting the gut microbiota. The paper concludes by explaining the mechanistic abnormalities that link dysbiosis to type 2 diabetes, including changes in short-chain fatty acid production, amino acid metabolism, bile acid regulation, and the production of specific bacterial products. Thus, the paper highlights the importance of understanding gut microbiota and related mechanisms for developing therapeutic interventions targeting the gut microbiota.
Properties and Maximum Likelihood Estimation of the Novel Mixture of Fréchet Distribution
Authors: Phaphan Wikanda , Abdullahi Ibrahim , Puttamat Wirawan
Published: June 2023

In recent decades, there have been numerous endeavors to develop a novel category of survival distributions possessing enhanced flexibility through the extension of existing distributions. This article constructs and validates the statistical properties of a novel survival distribution in order to obtain an alternative distribution that is suitable for analyzing survival data by presenting the novel mixture of the Fréchet distribution along with statistical properties such as the probability density function (PDF), cumulative distribution function (CDF), rth ordinary moment, skewness, kurtosis, moment-generating function, mean, variance, mode, survival function, hazard function, and asymptotic behavior, as well as constructing the estimators of the unknown parameter by employing the expectation-maximization (EM) algorithm, and simulated annealing. Additionally, the performance of the proposed estimators was compared with bias, mean squared errors (MSE), and simulated variances, and given an illustrative example of the proposed distribution to the survival data set in order to show that the proposed distribution is appropriate for the right-skewed data. This will be extremely advantageous in survival analysis.
Femtosecond Laser Ablation-Induced Magnetic Phase Transformations in FeRh Thin Films
Authors: Varlamov Pavel , Semisalova Anna , Nguyen Anh Dung , Farle Michael , Laplace Yannis , Raynaud Michele , Noel Olivier , Vavassori Paolo , Temnov Vasily
Published: June 2023

Magnetic and morphological properties of equiatomic B2-ordered FeRh thin films irradiated with single high-intensity ultrashort laser pulses are investigated. The goal is to elucidate the effect of femtosecond laser ablation on the magnetic properties of FeRh. We employed Scanning Magneto-Optical Kerr Effect (S-MOKE) microscopy to examine the magnetic phase after laser processing, providing high spatial resolution and sensitivity. Our results revealed the appearance of a magneto-optical signal from the bottom of ablation craters, suggesting a transition from antiferromagnetic to ferromagnetic behavior. Fluence-resolved measurements clearly demonstrate that the ablation threshold coincides with the threshold of the antiferromagnet-to-ferromagnet phase transition. The existence of such magnetic phase transition was independently confirmed by temperature-dependent S-MOKE measurements using a CW laser as a localized heat source. Whereas the initial FeRh film displayed a reversible antiferromagnet-ferromagnet phase transition, the laser-ablated structures exhibited irreversible changes in their magnetic properties. This comprehensive analysis revealed the strong correlation between the femtosecond laser ablation process and the magnetic phase transformation in FeRh thin films.
Bimanual Movement Characteristics and Real-World Performance Following Hand Arm Bimanual Intensive Therapy in Children with Unilateral Cerebral Palsy
Authors: Gardas Shailesh S. , Lysaght Christine , McMillan Amy Gross , Kantak Shailesh , Willson John , Patterson Charity Galena , Surkar Swati M.
Published: June 2023

The purpose of this study was to quantify characteristics of bimanual movement intensity during 30-hour Hand Arm Bimanual Intensive Therapy (HABIT) and bimanual performance (activities and participation) in real-world using accelerometers in children with unilateral cerebral palsy (UCP). Twenty-five children with UCP participated in a 30-hour HABIT program. Data was collected from bilateral wrist-worn accelerometers during 30-hours HABIT to quantify the movement intensity, and three days pre- and post-HABIT to assess real-world performance gains. Movement intensity and performance gains were measured using six standard accelerometer-derived variables. Bimanual capacity (body function and activities) was assessed using standardized hand function tests. We found that accelerometer variables increased significantly during HABIT, indicating increased bimanual symmetry and intensity. Post-HABIT, children demonstrated significant improvements in all accelerometer metrics, reflecting real-world performance gains. Children also achieved significant and clinically relevant changes in the hand capacity following HABIT. Therefore, our findings suggest that accelerometers can objectively quantify bimanual movement intensity during HABIT. Moreover, HABIT enhances hand function as well as activities and participation in real-world situation in children with UCP.
Digital Innovation and Sustainability Driven Consumer Behavior: A Review and Research Agenda
Authors: Sharma Manu , Shah Janmejai , Joshi Sudhanshu , Youssef Adel Ben , Misra Abhishek
Published: June 2023

Consumption is thus fundamentally related to sustainably because every decision pertaining to what to buy, what quantity the buy, how many to consume, or how to dispose of things has a direct influence on the natural world and the generations to come, and the overall impact of every single the customer's purchase is disastrous. A framework-based systematic literature review (SLR) was conducted to better comprehend the body of research on digital innovation and sustainability driving consumer behavior. This was done in order to acquire a deeper understanding of the studies that have already been done in this area. to provide (i) a comprehensive review of the current research landscape and (ii) a rich roadmap for future research. This study evaluated the literature especially in terms of theory, context, traits, and methodology. A total of 107 research articles published between 2013 and 2022 were found using scientific methods in the Scopus database. The findings showed that most research appears to have employed qualitative methodologies and was grounded in the setting of China and Italy. This review could help scholars better grasp the relationship between digital innovation and sustainability, opening the door for additional study and advancement in the field. Additionally, by extending the literature study and emphasizing the elements that can improve digital innovation and sustainability, practitioners will be given a better overall understanding of how to approach the problem.
A Systematic Literature Review on Migration and Remittances in Mountainous Regions: Key Takeaways for Phuthaditjhaba, Free State South Africa
Authors: Sunge Regret , Mudzingiri Calvin
Published: June 2023

Remittances are essential to economies in mountainous regions that face massive labour migration due to limited income generation and employment opportunities. In 2021, the share of remittances to GDP in the top 10 mountainous economies in the world was over 20%. Nonetheless, most are characterized by relatively lower GDP per capita and high poverty levels. Drawing a comparison with other mountainous areas, Phuthadjthaba, an emerging mountainous and border city of South Africa with Lesotho, faces similar out-migration and inferior socio-economic parameters. A global systematic literature review on the impact of remittances on livelihoods specifically targeting mountainous areas is missing. We, therefore, interrogate the role remittances can play in Phuthadijthaba. To inform our intended research, we seek to draw lessons from evidence on how migration and remittances affect mountainous communities globally. Accordingly, we carry out a systematic literature review (SLR) based on an updated Preferred Reporting Item for Systematic Reviews and Meta-Analysis (PRISMA) 2020 statement supported by Bibliometric (co-word) Analysis (BA) in VOSViewer. We collected data from Scopus and Dimensions websites and drew 165 publications, of which only 88 were included after exclusion and inclusion assessments. PRISMA results show that Mountain Research and Development, King Russell, and Nepal is the most productive and cited journal, the most productive and cited author, and the most researched country, respectively. Bibliometric analysis on keyword co-occurrences reveals women, agriculture, labour migration, land management, forest, and poverty, to be the research hotspots. In light of these findings, we proffer important recommendations to future researchers and policymakers.
Examining the factors affecting online shopping orientations: A structural equation modeling
Authors: Özdemir Oğuzhan , Erten Pınar
Published: June 2023

E-commerce platforms created to meet the needs of digital consumers, who are the leading actors of digital-oriented consumption, are increasing rapidly. Revolutionizing our daily lives by offering the digital equivalent of real-world experiences, e-commerce now offers a comfortable shopping experience that transcends the limitations of time and space. This phenomenon has been embraced by individuals spanning all age groups, from young children to the elderly. Structural equation modeling was used in this study, in which the factors affecting online shopping addiction were determined. In this direction, the causal and correlational relationships between the variables of fear of missing out (FoMO), cognitive load, personality types, some socio-demographic characteristics (gender and monthly shopping amount) and online shopping addiction in online shopping were revealed structurally. Since the purposive sampling was used, the study was carried out on 488 people. The goodness-of-fit indices included in the created model were found at an “acceptable” level (χ2/df= 2.248, p=0.000; RMSEA=0.051; GFI=0.878; AGFI=0.856; CFI=0.950; NFI=0.914). These results show that the final version of the model meets the necessary criteria for a good fit, its validity and accuracy. The study revealed the causal and correlational relationship between online shopping addiction and cognitive load, personality types, FoMO, gender, and monthly online shopping amount.
Fence Technique: Reconstruction on the Asthenic Zone After Cyst Enucleation - Case Report
Authors: Correia Francisco , Marques André de Brum , Rodrigues Célia , Faria-Almeida Ricardo
Published: June 2023

The odontogenic cysts can lead to a bone destruction that can hamper the dental implant place-ment in the ideal 3D position.
Different biomaterials and techniques that allow bone regeneration are described in the literature, each with its advantages and disadvantages.
This clinical case with 18 months of follow-up shows the enucleation of an odontogenic cyst fol-lowing the guide bone regeneration with fence technique. After 6 months 2, dental implants were placed at the region of tooth 11 and 21, being rehabilitated nine weeks after.
The fence technique allowed the recovery of the bone morphology and the placement of the dental implants in the 3D ideal position.
New Insights in Fracture Porosity Estimation using Machine Learning and Advanced Logging Tools
Authors: Ifrene Ghoulem , Irofti Doina , Ni Ruichong , Egenhoff Sven , Pothana Prasad
Published: June 2023

The purpose of this work is to compare two fracture prediction models with real-world data. The pure Artificial Neural Network (ANN) model emphasizes regression analysis, while the hybrid model (SVM-ANN) focuses on the combination of regression and classification analysis or Support Vector Machine. The results were subsequently tested against logging data by combining the Machine Learning approach with advanced logging tools. In this context, we used electrical image logs and the dipole acoustic tool which together allowed the distinction of 404 open fractures and 231 closed fractures and, consequently the estimation of fracture porosity. The results are then fed into two machine-learning algorithms. Pure Artificial Neural Networks and hybrid models are used to establish comprehensive results, which are subsequently tested to check the accuracy of the models. The outputs obtained from the two methods demonstrate that the hybridized model has a lower Root Mean Square Error (RMSE) than pure ANN. The results of our approach strongly suggest that incorporating hybridized machine learning algorithms in fracture porosity estimations can contribute to the development of more trustworthy static reservoir models in simulation programs. Finally, the combination of Machine Learning (ML) and well-log analysis do permit reliable estimation of fracture porosity in the Ahnet field in Algeria, where, in many places, advanced logging data is absent and costly.
The Origination, Distribution, Function, and Nature of Alternative Lateral Horse Gaits
Authors: Vincelette Alan
Published: June 2023

This article traces the origination, distribution, kinematics, function, and nature of alternative lateral horse gaits, i.e. intermediate speed lateral-sequence gaits involving the synchronization of ipsilateral limbs in the swing phase. Such alternative lateral horse gaits (namely, the running walk, rack, broken pace, hard pace, and broken trot) have been prized by equestrians for their comfort, and have been found in select horse breeds for hundreds of years and even exhibited in fossil equid trackways. After exploring the evolution and development of alternative lateral gaits via fossil equid trackways, human art and historical writings, and the genetics and history of modern horse breeds, functional and biomechanical reasons are offered for the genesis of these gaits. The article concludes by tracing similarities and differences between and within the expression of these alternative lateral gaits by various horse breeds. Fast and low-swinging hard pacing gaits are common in several horse breeds of East and North Asia, high-stepping rack and running walk gaits are often displayed in European and North and South American breeds, the broken pace is found in breeds of Central Asia, Southeast Asia, West Asia, Western North America, and Brazil in South American, and the broken trot occurs in breeds of North Asia, South Asia, and the Southern United States, and Brazil South America.
Large Scale Portfolio Optimization Using Biogeography-Based Optimization
Authors: Wijaya Wendy , Sidarto Kuntjoro Adji
Published: June 2023

Portfolio optimization is a mathematical formulation whose objective is to maximize returns while minimizing risks. A lot of improvement in the model has been made, including adding practical constraints. With the growing of shares trading, the problem becomes dimensionally very large. In this paper, we propose the usage of modified Biogeography-Based Optimization to solve the large scale constrained portfolio optimization. Results indicate the effectiveness of the method used.
Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany
Authors: Diebner Hans H.
Published: June 2023

Results from an explorative study revealing spatio-temporal patterns of the SARS-CoV-2/COVID-19 epidemic in Germany are presented. We dispense with contestable model assumptions and show the intrinsic spatio-temporal patterns of the epidemic dynamics. The analysis is based on COVID-19 incidence data, which are age-stratified and spatially resolved at the county level, provided by the Federal Government’s Public Health Institute of Germany (RKI) for public use. Although the 400 county-related incidence time series show enormous heterogeneity both with respect to temporal features as well as spatial distributions, the counties’ incidence curves organise into well distinguished clusters that coincide with East and West Germany. The analysis is based on dimensionality reduction, multidimensional scaling, network analysis, and diversity measures. Dynamical changes are captured by means of difference-in-difference methods which are related to fold changes of the effective reproduction numbers. The age-related dynamical patterns suggest a considerably stronger impact of children, adolescents and seniors on the epidemic activity than previously expected. Besides these concrete interpretations, the work mainly aims at providing an atlas for spatio-temporal patterns of the epidemic which serves as a basis to be further explored with the expertise from different disciplines, particularly sociology and policy makers. The study should also be understood as a methodological contribution to getting a handle on the unusual complexity of the COVID-19 pandemic.
Derivative Free Conformable Iterative Methods for Solving Nonlinear Equations
Authors: Candelario Giro , Cordero Alicia , Torregrosa Juan R. , Vassileva María P.
Published: June 2023

In the last years, a recent growing line of research has been developed with fruitful results by using fractional and conformable derivatives in the iterative procedures of classical methods for solving nonlinear equations. In that sense, the use of conformable derivatives has shown better behavior than fractional ones, not only in the theory, but also in the practice. In this work, we adapt the approximation of conformable derivatives in order to design the first conformable derivative-free iterative schemes to solve nonlinear equations: a Steffensen’s type method and a Secant type method; the latter with memory. Convergence analysis is made, preserving the order of classical cases, and the numerical performance is studied in order to confirm the results in the theory. It is shown that these methods can present some numerical advantages versus their classical partners, with wide sets of converging initial estimations.
Clinical Decision Support Systems for brain tumour diagnosis and prognosis: a systematic review
Authors: Mukherjee Teesta , Pournik Omid , Lim Choi Keung Sarah N. , Arvanitis Theodoros N.
Published: June 2023

The abnormal accumulation of cells in the human brain, if left untreated, may cause brain damage. Management and treatment of these tumours require an early and accurate diagnosis, while their prognostic characterisation can also be beneficial in the choice of care planning for the patient. CDSSs are being continuously developed and integrated into routine clinical practice as they assist clinicians and radiologists to deal with an enormous amount of medical data, reduce clinical errors, and improve diagnostic capabilities. They assist detection, classification, and grading of brain tumours as well as alerting physicians of requirement of change in treatment plans. The aim of this systematic review is to identify various CDSSs used in brain tumour diagnosis and prognosis, that rely on data captured by any imaging modality. Based on the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, the literature search was conducted in PubMed and Engineering Village Compendex databases. This review examines various CDSS tool types, system features, techniques used, accuracy, and outcome, to provide the latest evidence available in the field of neuro-oncology. An overview of different types of CDSSs used to support clinical decision-making in the management and treatment of brain tumours, along with highlighting their benefits, challenges, and future perspectives has been provided.
Rapidly Growing Ulcerated Breast Cancer in a 46-year-old Female Patient
Authors: Izzo Paolo , Izzo Luciano , Ceci Fabrizio , Lai Silvia , Polistena Andrea , Sibio Simone , Codacci-Pisanelli Massimo , Crocetti Daniele , Gabriele Raimondo , De Intinis Claudia , Izzo Sara
Published: June 2023

(1) Background: This case report focuses on a 46-year-old female patient diagnosed with a rare and aggressive form of breast cancer known as rapidly growing, ulcerated breast cancer. The patient exhibited rapid progression of the disease, experiencing discomfort and noticeable changes in the size and texture of the affected breast over a short period of time; (2) Methods: An intensive neoadjuvant chemotherapy regimen was employed as the primary treatment approach. The patient's response to this treatment was closely monitored and assessed. Various diagnostic tests and imaging techniques were utilized to evaluate the extent of the disease and track its response to the chemotherapy; (3) Results: The patient's response to the neoadjuvant chemotherapy regimen was remarkable, resulting in a complete pathologic response. This outcome, although unusual in rapidly growing, ulcerated breast cancers, highlights the effectiveness of neoadjuvant chemotherapy in managing large, locally advanced breast cancers; (4) Conclusions: The multidisciplinary approach employed in managing this complex breast cancer case proved to be crucial to the patient's favorable outcome. Despite the aggressive nature of the disease and the challenges posed by the rapid growth and ulceration, the patient achieved a positive result. This case contributes to the limited clinical literature on such unusual and aggressive breast cancer cases, providing valuable insights for future clinical practice.8
Small Molecules against Metastatic Tumors: Concrete Perspectives and Shattered Dreams
Authors: Serra Massimo , Rubes Davide , Schinelli Sergio , Paolillo Mayra
Published: June 2023

Metastasis is the main cause of anti-cancer therapies failure, leading to unfavorable prognosis for patients. The true challenge to increase cancer patient life expectancy by making cancer a chronic disease with periodic but manageable relapses, relies on the development of efficient therapeutic strategies specifically directed against key targets in the metastatic process.
Traditional chemotherapy with classical alkylating agents, microtubule inhibitors and antimetabolites has demonstrated its limited efficacy against metastatic cells due to their capacity to select chemo-resistant cell populations that undergo epithelial to mesenchymal transition (ETM) thus promoting the colonization of distant sites that in turn sustain the initial metastatic process. This scenario has prompted efforts aimed at discovering a wide variety of small molecules as potential anti-metastatic drugs directed against more specific targets known to be involved in the various stages of metastasis.
In this short reviews we will give an overview of the most recent advances related to three main large families of antimetastatic small molecules: intracellular tyrosine kinase inhibitors, integrin antagonists and small interfering (siRNAs). Although the majority of these small molecules are not yet approved and not available in the drug market, any information related to their stage of development could represent a precious and valuable tool to identify new targets in the endless fight against metastasis.
Development and Validation of an Enzyme-Linked Immunosorbent Assay-Based Protocol for Evaluation of Respiratory Syncytial Virus Vaccines
Authors: Nham Eliel , Jang A-Yeung , Ji Hyun Jung , Ahn Ki Bum , Bae Joon-Yong , Park Man-Seong , Hyun Hakjun , Yoon Jin Gu , Seong Hye , Noh Ji Yun , Cheong Hee Jin , Kim Woo Joo , Seo Ho Seong , Song Joon Young
Published: June 2023

Recently, two respiratory syncytial virus (RSV) vaccines based on the prefusion F (pre-F) antigen were approved in the United States. We developed and validated an enzyme-linked immunosorbent assay (ELISA)-based protocol for the practical and large-scale evaluation of RSV vaccines. Two modified pre-F proteins (DS-Cav1 and SC-TM) were produced by genetic recombination and replication using an adenoviral vector. The protocol was established by optimizing the concentrations of the coating antigen (pre-F proteins), secondary antibodies, and choice of blocking buffer. To validate the protocol, we examined its accuracy, precision, and specificity using serum samples from 150 participants across various age groups and the standard serum provided by the National Institute of Health. In the linear correlation analysis, coating concentrations of 5 and 2.5 μg/mL of DS-Cav1 and SC-TM, respectively, showed high coefficients of determination (r2 = 0.90). Concentrations of secondary antibodies (alkaline phosphatase-conjugated anti-human immunoglobulin G, diluted 1:2000) and blocking reagents (5% skim milk/PBS-T) were optimized to minimize non-specific reactions. High accuracy was observed for DS-Cav1 (r2 = 0.90) and SC-TM (r2 = 0.86). Further, both antigens showed high precision (coefficient of variation < 15%). Inhibition ELISA revealed cross-reactivity of antibodies against DS-Cav1 and SC-TM but not with the attachment protein.
Expression of CsSCL1 and Rooting Response in Chestnut Leaves are Dependent on the Auxin Polar Transport and the Ontogenetic Origin of the Tissues
Authors: Varas Elena , Valladares Silvia , Vielba Jesús , Vidal Nieves , Sánchez Conchi
Published: June 2023

The mechanisms underlying the de novo regeneration of adventitious roots are still poorly understood, particularly in trees. In this study, we developed a system for studying different modulators of adventitious rooting (AR) at physiological and molecular levels by using for the first time leaves excised from chestnut microshoots. The rooting response of leaves was ontogenetic-stage dependent, and similar to that of the original microshoots. Initiation of root primordia and root development were inhibited by application of N-1-naphthyl-phthalamic acid (NPA), although the effect of this inhibitor of auxin polar transport (PAT) depended on the timing of application. Expression of CsSCL1, an auxin-inducible gene in juvenile and mature shoots during AR, was upregulated by auxin only in rooting-competent leaves during the novo root organogenesis and the expression was reduced by the NPA treatment. This inhibitory effect on gene expression was detected during reprograming of rooting competent cells towards root initials in response to auxin, indicating that PAT-mediated upregulation of CsSCL1 is required in the initial steps of AR in chestnut leaves. The localized expression of CsSCL1 in the quiescent center (QC) also suggests a role for this gene in the maintenance of meristematic competence and root radial patterning.
Impacts of Climate Change on Crop Yield in Ethiopia, Review
Authors: Abawa Melese , Aynalem Mezgebu , Fentahun Gebreegziabher
Published: June 2023

Climate change is a large and challenging collective action problem facing the world today. This seminar review impacts of climate change on r yield of major cereal crops. Literatures have indicated that climate change would likely have positive impact in the highland agro-ecology in the short run. However, in the long run climate change will have negative impact in all agro-ecology. Negative impacts will be high in low land agro-ecology. Failure to prepare for climate variability can seriously affect the livelihood of smallholder farmers. Ethiopia by enacting Climate-Resilient Green Economy strategy and National Adaptation Plan aims to minimize the impacts of CC. Despite the existing adaptation and mitigation strategies negative impacts of climate change on agriculture especially on cereal crop production is continued. Thus, both private and public investment on adaptation strategies should be expanded more. Studies regarding the impacts of climate change on labour productivity, labour market, its distributional (which section society mostly by climate change?) and why the existing adaptation strategies are not successful? are not well studied, as most literature are focused on impact of climate change on yield, its adaptation and mitigation strategies.
Serum Level of Cytokeratin 18 (M65) as Prognostic Marker of High Cardiovascular Disease Risk in Non-alcoholic Fatty Liver Disease Individuals
Authors: Pagano Sabrina , Bakker Stephan J.L. , Juillard Catherine , Dullaart Robin P.F. , Vuilleumier Nicolas
Published: June 2023

Background and aim: To explore the discriminant accuracy of Cytokeratin 18 (CK18, including M65 and M30 forms) for an elevated fatty liver index (FLI) as a validated proxy of Non-Alcoholic Fatty Liver Disease (NAFLD), and cardiovascular disease (CVD) risk in the general population.
Methods: Both serum CK18 forms were measured using a commercial immunoassay in randomly selected samples from 312 participants of the PREVEND general population cohort. FLI ≥60 was used to indicate NAFLD. Framingham Risk Score (FRS) and the SCORE2 were used to estimate the 10-year risk of CVD. Receiver Operating Characteristic (ROC) curve, linear/logistic regression models and Spearman's correlations were used.
Results: Intricate associations were found between CK18, FLI and CVD risk scores. While M30 was the only independent predictor of FLI≥60, M65 discriminated best NAFLD individuals at very-high 10-years CVD risk according to SCORE2 (AUC:0.71; p=0.001). Values above the predefined manufacturer cut-off (400 U/l), were associated with an independent 5-fold increased risk (adjusted odds ratio: 5.44, p=0.01), with negative predictive value of 93%.
Conclusions: Confirming that NAFLD is associated with an increased CVD risk, our results point to CK18 M65 as a candidate biomarker to identify NAFLD individuals at low CVD risk in European general population.
The Effect of On-Site and On-Call Nurse on Exclusive Breastfeeding: Comparison of Two Different Hospital Settings
Authors: Latorre Giuseppe , Martinelli Domenico , Capozza Manuela , Grosso Francesca Maria , Baldassarre Maria Elisabetta , Laforgia Nicola
Published: June 2023

Background: Exclusively breastfeeding your newborn while in the hospital is imperative for suc-cessful breastfeeding at home. This study will investigate if having a nurse on-site during rooming-in can enhance the proportion of exclusive breastfeeding. Methods: We carried out a prospective cohort study to assess exclusive breastfeeding in the first three months of life among two Neona-tology Units in Southern Italy with different hospital settings. The Ente Ecclesiastico Miulli of Ac-quaviva delle Fonti had on-site nurses available 24/7 (on-site group), while the Policlinico of Bari had nurses available on call 24/7 from the Neonatology Unit (on-call group). Results: Between January 3rd and March 31st, 2018, a total of 564 sets of mothers and babies were admitted - 299 on-site and 265 on-call. The exclusive breastfeeding rate for the entire group was 76.4% at 90 days, demonstrating the positive impact of rooming-in and nursing, regardless of the setting. Infants delivered via ce-sarean section in the on-site group demonstrated higher rates of exclusive breastfeeding at both 30 and 90 days of life. Conclusions: Our research indicates that having a nurse available at all times is crucial for promptly identifying any problems with breastfeeding. We highly suggest having an on-site nurse present during rooming-in for mothers who have had a caesarean delivery. This nurse should continuously promote exclusive breastfeeding until the baby is three months old.