bluuebunny/crossref_metadata_2025 huggingface dataset:
An Agro-Food Planning System: Democratic, Decentralized, Holistic, and Voluntary Participatory
Authors: Öztürk Murat
Published: September 2024

In both capitalist and socialist economies, agricultural planning has been un-derstood as the allocation of planting areas to certain products, and the exist-ence of farmers, who are the main productive actors, as humans, their pro-duction potential and their ability to act rationally have been neglected. In ad-dition, in both economic structures, the desired results have only been achieved partially by determining prices. These experiences also reveal two important results: Agriculture is not fully planned, but it cannot be continued without planning either. Secondly, in a structure where production is social, it is nec-essary for agricultural products to have an exchange value, but price is a mul-tifunctional phenomenon and how it is determined is important. The current equivalent of the claim that prices are determined through the market mecha-nism is to advocate that prices are determined by capitalist companies that have monopoly power in the markets. The increasingly severe problems and in-creasing fragility of agricultural-food markets, which are already largely under the control of these institutions, already prove that this structure is not a solu-tion. On the other hand, it is no longer possible to provide food security by planning primary agricultural products alone, agri-food production and dis-tribution have acquired different structural characteristics, and it has become necessary to address food security within the framework of agri-food systems. Therefore, effective agricultural planning actually requires the planning of the agricultural food system as a whole. The e-nam system, which is being popu-larized in India and has achieved a certain success, points out that it is possible to organize and manage agricultural food markets after primary production. Moreover, it also shows that technological opportunities offer more effective planning opportunities. In this study, first of all, based on historical and current experiences, the inadequacies of the market mechanism, the fact that agricul-tural production is carried out by using living things to produce living things and depending on uncontrollable factors have been taken into consideration. Then, it has been concluded that a democratic, mix of centralized and decen-tralized planning, aiming to determine both production quantities and prices by utilizing the capacity and conditions of farmers and technological opportunities will meet today's needs. And in accordance with this result, a basic planning proposal has been presented.
Timing and Graded BMP Signalling Determines Fate of Neural Crest and Ectodermal Placode Derivatives from Pluripotent Stem Cells
Authors: Chung Keshi , Millet Malvina , Rouillon Ludivine , Zine and Azel
Published: September 2024

Pluripotent stem cells (PSCs) hold many potential research and clinical benefits due to their ability to differentiate into nearly every cell type in the body. They are often used as model systems for early stages of ontogenesis to better understand key developmental pathways, and for drug screening. However, in order to fully realise the potential of PSCs and their translational applications, a deeper understanding of developmental pathways, especially in humans, is required. Several signalling molecules play important roles during development and are required for proper differentiation of PSCs. The concentration and timing of signal activation is important, with perturbations resulting in improper development and/or pathology. Bone morphogenetic protein (BMP) is one such key signalling molecule involved in the specification and differentiation of various cell types and tissues in the human body including tooth and otic development. In this review, we describe the role of BMP signalling and its regulation, the consequences of BMP dysregulation in disease and differentiation, and how PSCs can be used to investigate the effects of BMP modulation during development, mainly focusing on otic development. Finally, we emphasise the unique role of BMP4 in otic specification and how refined knowledge in controlling its regulation could lead to the generation of more robust and reproducible human PSC-derived otic organoids for research and translational applications.
Two Forms of Thick Filament in the Flight Muscle of Drosophila melanogaster
Authors: Rastegarpouyani Hosna , Hojjatian Alimohammad , Taylor Kenneth A.
Published: September 2024

Invertebrate striated muscle myosin filaments are highly variable in structure. The best characterized myosin filaments are those of insect indirect flight muscle (IFM) in which the flight powering muscles are not attached directly to the wings. Four insect orders, Hemiptera, Diptera, Hymenoptera and Coleoptera, have evolved IFM. IFM thick filaments from the first three orders have highly similar myosin arrangements but differ significantly among the non-myosin proteins. Cryo-electron microscopy of isolated IFM myosin filaments from the Dipteran Drosophila melanogaster described here reveal the coexistence of two distinct filament types. One presenting a tubular backbone like previous work, the other a solid backbone. Inside an annulus of myosin tails, tubular filaments show no noticeable densities; solid filaments show four paired paramyosin densities. Both myosin heads of tubular filaments are disordered; solid filaments have one completely and one partially immobilized head. Tubular filaments have the protein stretchin-klp on their surface; solid filaments do not. Two proteins, flightin and myofilin, are identifiable in all IFM filaments previously determined. In Drosophila, flightin assumes two conformations, compact in solid filaments, and extended in tubular filaments. Nearly identical solid filaments occur in the large water bug Lethocerus indicus, which spends most of its time under water, suggesting solid filaments conserve ATP utilizing the super relaxed state. The solid filaments in Drosophila may function similarly.
Analysing Energy Use in Latin American Agriculture:A Banana Plantation Case Study
Authors: Charan Naresh
Published: September 2024

This research introduces a novel approach to evaluate energy utilization in agribusiness within a cost-based framework, addressing the complexities associated with uncertain input energy content. The study focuses on the agricultural sector in Latin America, with particular emphasis on banana plantations, examining the sector's growing dependence on energy-intensive methods and inputs. We differentiate between technical and allocative efficiency, employing a frontier-based methodology. The analysis encompasses data from 21 state-owned banana plantations in Latin America, revealing significant room for improvement in energy efficiency. Our findings indicate an average Technical Efficiency of 0.69, Allocative Efficiency of 0.91, and overall Energy Efficiency of 0.59, suggesting potential reductions in input and energy consumption of up to 38%. The study underscores the importance of addressing both input mismanagement and misallocation to enhance energy efficiency. While the proposed methodology offers valuable insights for public sector enterprises, particularly in agriculture, further research is necessary to extend this approach to scenarios with uncertain input energy content, potentially incorporating stochastic frontier analysis or fuzzy logic methodologies.
Budd-Chiari Syndrome Research Collaboration: A Network Analysis of Scientific Contributions (2000-2023)
Authors: Ogasawara Naruaki
Published: September 2024

Aim: This study aims to analyze the structure of the co-authorship network in Budd-Chiari syndrome (BCS) research from 2000 to 2023 using data from the Web of Science (WoS) Core Collection. The objective is to identify key researchers, evaluate the collaborative dynamics, and understand the evolution of scientific contributions in this field. Method: This study utilized network analysis techniques to evaluate 2,877 publications related to BCS research indexed in the WoS Core Collection between 2000 and 2023. The analysis was conducted using Python (Version 3.10.5) in the PyCharm development environment (Software Version 2022.1.3). The co-authorship networks were assessed using macro-level indicators such as network density (the ratio of actual to possible connections), clustering coefficient (degree of node clustering), number of components (distinct connected subgroups), and average path length (average distance between nodes). Micro-level indicators including degree centrality (importance based on the number of connections), closeness centrality (proximity to other nodes), and betweenness centrality (frequency of a node on the shortest paths between others) were also analyzed.Result: The results revealed a highly fragmented network structure in the early years (2000-2009), characterized by low network density (0.0017) and a large number of disconnected components (533). Key researchers such as Aurelie Plessier and Dominique Valla emerged as central figures in terms of degree and closeness centrality. In the 2010-2019 period, the network showed slight improvements, with density decreasing to 0.0016 but an increase in the number of components to 645, indicating persistent fragmentation. From 2020 to 2023, the network demonstrated increased cohesiveness with a density of 0.0032 and a reduction in components to 376. Influential researchers in the final period included Virginia Hernandez-Gea and Valerie Paradis, who played pivotal roles in connecting disparate research clusters.Conclusion: The co-authorship network analysis of BCS research over the past two decades highlights a gradual yet incomplete evolution towards greater collaboration and integration among researchers. While the network's cohesiveness has improved, significant fragmentation remains, suggesting that further efforts are needed to enhance global and interdisciplinary collaboration. Addressing these challenges is crucial for fostering a more connected and productive research community that can advance the understanding and management of BCS.
Arthrocentesis of Temporomandibular Joints- a Clinical Comperative Study
Authors: Siewert Marta , Pokrowiecki Rafał , Zawadzki Paweł J. , Stopa Zygmunt
Published: September 2024

The objective of this study was to compare single-needle arthrocentesis with the conventional two-needle arthrocentesis, as well as, additional intracapsular injection of hyaluronic acid or platelet rich fibrin. 96 patients with established osteoarthritis (OA) (n= 48) or with internal de-arrangement (DD) (n= 48) were assigned for single-needle arthrocentesis with distension of the joint or conventional two-needle arthrocentesis with or without intracapsular injection of the medication (hyaluronic acid- HA or platelet-rich plasma- PRP) performed every month in the period of 6 months. The maximum mouth opening and pain as measured by the visual analog scale (VAS) were compared. Each group exhibited significant improvement: decrease of pain and in-creased mouth opening. Single- puncture technique provided similar pain reduction as two needle approach but provided significantly better results in maximum mouth opening. Reduction of pain was similar when comparing between the OA and DD cohorts, however patients with disc dis-placement reached significantly better mouth opening than OA. Intracapsular application of medication contributed to significant decrease of pain in both HA and PRP groups, with plate-let-rich fibrin being significantly superior in terms of mouth opening increase over HA.
High-Resolution Land Use Land Cover Dataset for Meteorological Modelling – Part 1: ECOCLIMAP-SG+ an Agreement-Based Dataset
Authors: Bessardon Geoffrey , Rieutord Thomas , Gleeson Emily , Oswald Sandro , Palmason Bolli
Published: September 2024

ECOCLIMAP-SG+ is a new 60~m land use land cover dataset, which covers a continental domain, and represents the 33 labels of the original ECOCLIMAP-SG dataset. ECOCLIMAP-SG is used in HARMONIE-AROME, the numerical weather prediction model used operationally by Met Éireann and other national meteorological services. ECOCLIMAP-SG+ was created using an agreement-based method to combine information from many maps to overcome variations in semantic and geographical coverage, resolutions, formats, accuracies, and representative periods. In addition to ECOCLIMAP-SG+, the process generates an agreement score map, which estimates the uncertainty of the land cover labels in ECOCLIMAP-SG+ at each location in the domain. This work presents the first evaluation of ECOCLIMAP-SG and ECOCLIMAP-SG+ against the following trusted land cover maps: LUCAS 2022, the Irish National Land Cover 2018 dataset, and an Icelandic version of ECOCLIMAP-SG. Using a set of primary labels, ECOCLIMAP-SG+ outperforms ECOCLIMAP-SG regarding the F1-score against LUCAS 2022 over Europe and the Irish national land cover 2018 dataset. Similarly, it outperforms ECOCLIMAP-SG against the Icelandic version of ECOCLIMAP-SG for most of the represented secondary labels. The score map shows that the quality ECOCLIMAP-SG+ is hetereogeneous. It could be improved once new maps once they become available but we do not control when they will be available. Therefore, the second-part of this publication series aims at improving the map using machine learning.
Characterization of MSC Growth, Differentiation, and EV Production in CNF Hydrogels under Static and Dynamic Cultures in Hypoxic and Normoxic Conditions
Authors: Nikolits Ilias , Chariyev-Prinz Farhad , Egger Dominik , Liebner Falk , Mytzka Nicolas , Kasper Cornelia
Published: September 2024

Mesenchymal stem cells (MSCs) hold immense therapeutic potential due to their regenerative and immunomodulatory properties. However, to utilize this potential, it is crucial to optimize their in vitro cultivation conditions. Three-dimensional (3D) culture methods using cell-laden hydrogels aim to mimic the physiological microenvironment in vitro, thus preserving MSC biological functionalities. Cellulosic hydrogels are particularly promising due to their biocompatibility, sustainability, and tunability in terms of chemical, morphological, and mechanical properties. This study investigated the impact of (1) two physical crosslinking scenarios for hydrogels derived from anionic cellulose nanofibers (CNF) used to encapsulate adipose-derived MSCs (adMSCs) and (2) physiological culture conditions on the in vitro proliferation, differentiation, and extracellular vesicle (EV) production of these adMSCs. Our results revealed that additional Ca2+-mediated crosslinking, intended to complement self-assembly and gelation of aqueous to-CNF in the adMSC cultivation medium, adversely affected both the mechanical properties of the hydrogel spheres and the growth of the encapsulated cells. However, cultivation under dynamic and hypoxic conditions significantly improved the proliferation and differentiation of the encapsulated adMSCs. Furthermore, we demonstrated that adMSCs in CNF hydrogel spheres exhibited potential for scalable EV production with potent immunosuppressive capacities in a bioreactor system. These findings underscore the importance of physiological culture conditions and the suitability of cellulosic materials for enhancing the therapeutic potential of MSCs. Overall, our study provides valuable insights for optimizing the in vitro cultivation of MSCs for various applications, including tissue engineering, drug testing, and EV-based therapies.
Solving the Dual Generalized Commutative Quaternion Matrix Equation AXB = C
Authors: Shi Lei , Wang Qing-Wen , Xie Lv-Ming , Zhang Xiao-Feng
Published: September 2024

Dual generalized commutative quaternions have broad application prospects in many fields. Additionally, the matrix equation AXB = C has important applications in mathematics and engineering, especially in control systems, economics, computer science, and other disciplines. However, research on the matrix equation AXB = C over the dual generalized commutative quaternions remains relatively insufficient. In this paper, we derive the necessary and sufficient conditions for the solvability of the dual generalized commutative quaternion matrix equation AXB = C. Furthermore, we provide the general solution expression for this matrix equation, when it is solvable. Finally, a numerical algorithm and an example are provided to confirm the reliability of the main conclusions.
Visual Evoked Potentials Sensitization/Habituation Mechanisms in Chronic Migraine Patients with or without Medication Overuse
Authors: Coppola Gianluca , Casillo Francesco , Sebastianelli Gabriele , Abagnale Chiara , Di Lorenzo Cherubino , Di Renzo Antonio , Serrao Mariano , Parisi Vincenzo
Published: September 2024

Background/Objectives: Habituation and sensitization are opposite phenomena that play a role in the pathophysiology of episodic migraine and its progression to chronic migraine (CM). There have been just a few studies that have investigated these phenomena in patients with medication overuse headache (MOH) in comparison to those with chronic migraine (CM) and healthy controls (HCs), and the findings have been inconsistent. Methods: We measured and examined visual evoked potentials (VEPs) in 81 patients with MOH and 24 patients with CM, as well as 24 HCs. The VEPs were used to assess sensitization by analyzing the amplitude of the first block (100 sweeps), and to evaluate habituation by measuring the amplitude response decrement after 6 blocks. We further examined patients diagnosed with MOH based on their acute medication type and after a 3-week acute medication withdrawal program. Results: There were no significant differences between groups in terms of the first N1-P1 VEP amplitude block and its habituation. It was found that patients with MOH had a greater drop in the amplitude of the VEP P1-N2 complex after repeated stimulation than patients with CM or HC. The VEPs parameters showed no significant differences based on the specific overused drug and after a 3-week acute medication off. Conclusions: We propose that the results obtained in patients with MOH indicate an abnormal activation of inhibitory circuits in the parieto-occipital region in response to repeated modulatory stimuli.
In Vitro Quality Assessment of Glibenclamide Tablets: Reference, Generic and Similar Drugs
Authors: Serio Bruna , Yzze Juliana , Rosa Suellen
Published: September 2024

Introduction: Pharmaceutical tablets are solid forms administrated orally and they constitute 80% of the market because of its best stability and ease of large-scale production, adherence and treatment. The Brazilian Legislation establishes that for a drug to be registered as a similar or generic drug is necessary to verify the pharmaceutical equivalence in relation to the reference drug, indicated by ANVISA, through quality control tests, ensuring that the drug is approved with satisfactory quality. Objective: to evaluate the reference, generic and similar glibenclamide tablets through quality control tests, comparing the results with each other and relate clinical impacts on the patient in the face of changes in the quality control of medicines. Methodology: tests of average weight, friability and disintegration were done, according to the Brazilian Pharmacopoeia VI Edition, in uncoated tablets of Glibenclamide 5mg Reference (Daonil), Generic (Glibenclamide) and Similar (Glionil), and the results obtained were compared with the that advocates the scientific literature. Results: Data referring to the average weight: Reference 0.1591g, Generic 0.1002g and Similar 0.0996g; For friability: Reference value 0.54%, Generic value 0.49% and Similar value 0.28%. The disintegration tests showed the following times: Reference 35 seconds, Generic 29 seconds and Similar 33 seconds. Conclusion: the tests to which the glibenclamide tablets were submitted showed results within the parameters established by the Brazilian Pharmacopoeia.
Breast Cancer Classification Using Fine-Tuned SWIN Transformer Model on Mammographic Images
Authors: Shobayo Olamilekan , Tanimola Oluwatosin , Popoola Olusogo , Okoyeigbo Obinna
Published: September 2024

Breast cancer is the most prevalent type of disease among women. It has become one of the foremost causes of death among women globally. Early detection plays a significant role in administering personalized treatment and improving patient outcomes. Mammography procedures are often used to detect early-stage cancer cells. This traditional method of mammography while valuable has limitations of potential for false positives and negatives, patient discomfort, and radiation exposure. Therefore, there is a probe for more accurate techniques required in detecting breast cancer, leading to exploring the potential of machine learning in the classification of diagnostic images due to its efficiency and accuracy. This study conducted a comparative analysis of pre-trained CNNs (ResNet50 and VGG16) and Vision Transformers (ViT-Base and SWIN Transformer) with the inclusion of ViT-Base trained from scratch model architectures to effectively classify breast cancer mammographic images into benign and malignant cases. The Swin transformer exhibits superior performance with 99.8% accuracy and a precision of 99.8%. These findings demonstrate the efficiency of deep learning to accurately classify breast cancer mammographic images for the diagnosis of breast cancer, leading to improvement in patient outcomes.
Application of the Generalized Double Reduction Method to the (1+1)-Dimensional Kaup-Boussinesq (K-B) System: Exploiting Lie Symmetries and Conservation Laws
Authors: Kakuli Molahlehi Charles
Published: September 2024

This paper explores the application of the generalized double reduction method to the (1+1)-dimensional Kaup-Boussinesq (K-B) system, which models nonlinear wave propagation. Double reduction method is a structured and systematic approach in the analysis of partial differential equations (PDEs). We first identify the Lie point symmetries of the K-B system and construct four non-trivial conservation laws using the multiplier method. The association between the Lie point symmetries and the conservation laws is established, and the generalized double reduction method is then applied to transform the B-K system into second-order differential equations or algebraic equations. The reduction process allowed us to derive two exact solutions for the K-B system, illustrating the method’s effectiveness in handling nonlinear systems. This work highlights the effectiveness of the generalized double reduction method in simplifying and solving nonlinear nonlinear systems of PDEs, contributing to a deeper understanding of the systems.
Existence and Stability for Fractional Differential Equations with a Regularized ψ–Hilfer Fractional Derivative
Authors: He Wenchang , Jin Yuhang , Wang Luyao , Mu Jia
Published: September 2024

This article aims to explore the existence and stability of solutions to differential equations involving a regularized ψ−Hilfer fractional derivative, which, compared to standard ψ−Hilfer fractional derivatives, provide a clear physical interpretation when dealing with initial conditions. We discovered that the regularized ψ−Hilfer fractional derivative can be represented as the inverse operation of the ψ−Riemann–Liouville fractional integral, and used this property to prove the existence of solutions for linear differential equations with a regularized ψ−Hilfer fractional derivative. Additionally, we applied the Mönch’s fixed-point theorem and knowledge of non-compactness measures to demonstrate the existence of solutions for nonlinear differential equations with a regularized ψ−Hilfer fractional derivative, and further discussed Ulam-Hyers-Rassias stability and semi-Ulam-Hyers-Rassias stability of these solutions. Finally, we illustrated our results through case studies.
Effect of Mechanical Damage on Tritium Permeability Resistance of FeAl/Al2O3 Coating on 316L Stainless Steel
Authors: Li Yinghong , Nie Lihong , Meng Fantao , Hu Haixiang , Zong Sifan , Hong Zhihao , Wang Long , Li Changzheng , Ren Qisen , Hu Jing
Published: September 2024

A tritium resistant coating on the surface of materials is one of the main methods to reduce tritium permeability. In actual operating processes, mechanical damage such as spalling and scratches will occur on the surface of tritium resistant coatings. These mechanical damages will affect the hydrogen permeability resistance of the coatings. It is an important engineering problem that evaluate the effect of these damage on the tritium resistance of the coating. In this experiment, the mechanical damage of FeAl/Al2O3 tritium resistant coating on 316L stainless steel was simulated by scratching, debonding and thermal shock, and the gas hydrogen isotope permeation (GDP) test was carried out. The influence of mechanical damage degree on the tritium permeation behaviour of the coating was evaluated and discussed.
Advances in Room Temperature of Indium Aluminum Nitride InAlN Deposition via Co-Sputtering DC for Solar Energy Applications
Authors: Cañón Bermudez Juan David , Mulcué-Nieto Luis Fernando
Published: September 2024

The study addresses the fabrication of indium aluminum nitride (InAlN) layers by DC co-sputtering at room temperature, highlighting their potential in optoelectronic and solar cell applications. Experiments were carried out with different powers for the aluminum target, observing changes in the stoichiometry and material properties. XPS and AES analysis confirmed the variation in indium and aluminum concentration, directly affecting bandgap and electrical properties such as mobility and free carrier concentration. The layers showed smooth surfaces with low roughness, suitable for high efficiency interfaces. This method promises to reduce costs and improve the accessibility of efficient solar technologies based on InAlN semiconductor alloy.
Assessing the Feasibility of Handheld Cameras to Increase Access to Teleretinal Diabetic Retinopathy Screenings in Safety-Net Clinics in Los Angeles
Authors: Green Gabrielle , Flores Roxana , Figueroa Elvia , Kuo Tony , Daskivich Lauren
Published: September 2024

Background: Handheld cameras may increase access to teleretinal diabetic retinopathy screenings (TDRS), as they are more economical and nimbler than traditional desktop cameras. However, their use in safety-net clinical settings is less understood. Methods: The Los Angeles County Department of Public Health collaborated with the Los Angeles County Department of Health Services (DHS) to pilot the use of handheld cameras in DHS’s TDRS program. This study assessed screening metrics and interviewed TDRS coordinators and photographers about their experiences using these cameras. Results: Handheld cameras are harder to operate and performed less optimally on key screening metrics (e.g., image quality) compared to desktop cameras. However, this challenge appeared to be linked to the selected model, rather than to all handheld cameras. The adoption of handheld cameras in DHS was aided by their integration into an existing agency infrastructure that already supports the use of desktop cameras; these operational supports include an established workflow, a data platform, and experienced photographers. Conclusions: The use of handheld cameras for TDRS is a promising practice for assuring equitable access to screenings. Handheld cameras are portable, smaller in size, and lower in cost than desktop cameras. Future projects should invest in and assess the performance of higher-quality models of these cameras, especially their use in safety-net clinical settings.
Impact of ESG Rating Disagreement on Debt Financing Costs
Authors: Su Fei , Xue Xiaoran
Published: September 2024

Using the data of China's A-share non-financial listed enterprises from 2015 to 2022 as a sample, this study empirically tests the impact of ESG rating disagreement on corporate debt financing cost. The results show that ESG rating disagreement significantly increases the debt financing costs of enterprises, and this result still holds after a series of robustness tests such as replacing the dependent and independent variables and PSM approach. Meanwhile, the heterogeneity analysis reveals that non-state-owned enterprises and enterprises in non-heavily polluting industries are more sensitive to ESG ratings disagreement. In addition, mechanism analysis shows that corporate financing constraints mediate the relationship between ESG rating disagreements and debt financing costs. The findings of this study provide important evidence for understanding the impact of ESG rating disagreement on the costs of debt financing, enrich the meaning of ESG rating disagreement, and reveal the significance of unifying ESG rating standards.
Dynamics and Forms of Products of Twin, Cousin and Sexy Primes
Authors: Gocgen Ahmet F. , Buyukyayla Emin M.
Published: September 2024

Prime numbers are the building blocks of number theory, and their properties have intrigued mathematicians for centuries. In this paper, we explore a specific categorization of primes, which we refer to as "twin primes", “cousin primes” and "sexy primes". We begin by examining the form of prime numbers greater than 7 and analyze their potential to be expressed in terms of $6n + 5$ or $6n + 7$. This investigation leads to the identification of conditions under which prime numbers can form twin, cousin and sexy pairs. We further develop a general framework to characterize the product of all twin (except 15), cousin (except 21) and sexy primes, providing insights into their algebraic structure.
Dynamic Bayesian Networks, Elicitation and Data Embedding for Secure Environments
Authors: Drury Kieran , Smith Jim Q.
Published: September 2024

Serious crime modelling typically needs to be undertaken securely behind a firewall where police knowledge and capabilities can remain undisclosed. Data informing an ongoing incident is often sparse, with a large proportion of relevant data only coming to light after the incident culminates or after police intervene - by which point it is too late to make use of the data to aid real-time decision making for the incident in question. Much of the data that is available to police to support real-time decision making is highly confidential so cannot be shared with academics, and is therefore missing to them. In this paper, we describe the development of a formal protocol where a graphical model is used as a framework for securely translating a model designed by an academic team to a model for use by a police team. We then show, for the first time, how libraries of these models can be built and used for real-time decision support to circumvent the challenges of data missingness and tardiness seen in such a secure environment. The parallel development described by this protocol ensures that any sensitive information collected by police, and missing to academics, remains secured behind a firewall. The protocol nevertheless guides police so that they are able to combine the typically incomplete data streams that are open source with their more sensitive information in a formal and justifiable way. We illustrate the application of this protocol by describing how a new entry - a suspected vehicle attack - can be embedded into such a police library of criminal plots.
A Comparative Analysis of Machine Learning and Deep Learning Techniques for Accurate Market Price Forecasting
Authors: Shobayo Olamilekan , Adeyemi-longe Sidikat , Popoola Olusogo , Okoyeigbo Obinna
Published: September 2024

The study compares three machine learning and deep learning models—Support Vector Regression (SVR), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM)—for predicting market prices using the NGX All-Share Index dataset. The models were evaluated using multiple error metrics, including Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Square Error (RMSE), Mean Percentage Error (MPE), and R-squared. RNN and LSTM were tested with both 30 and 60-day windows, with performance compared to SVR. LSTM delivered better R-squared values, with a 60-day LSTM achieving the best accuracy (R-squared = 0.993) when using a combination of endogenous market data and technical indicators. SVR showed reliable results in certain scenarios but struggled in fold 2 with sudden spike that shows high probability of not capturing the entire underlying NGX pattern in the dataset correctly as witnessed with the high validation loss during the period. Additionally, RNN faced the vanishing gradient problem that limits its long-term performance. Despite challenges, LSTM's ability to handle temporal dependencies, especially with the inclusion of On-Balance Volume, led to significant improvements in prediction accuracy. The use of the Optuna optimization framework further enhanced model training and hyperparameter tuning, contributing to the performance of the LSTM model.
OBESITY AND ADHERENCE TO TREATMENT ACCORDING TO THE QAA-25 QUESTIONNAIRE IN A PROSPECTIVE FOLLOW-UP STUDY
Authors:   Kazan State Medical University, FAKHRUTDINOVA ALIYA S. , SINEGLAZOVA ALBINA V. ,   Kazan State Medical University
Published: September 2024

Introduction. Obesity is a modifiable cardiometabolic risk factor and a comorbidity-associated disease. Hence, to improve the effectiveness of individual preventive programs, it is important to study the features of treatment adherence in young adults. Aim of the study was to analyze the changes in various types of obesity considering the adherence to treatment in young adults. Materials and Methods. This prospective study (Me=18.6[17.4-20.1] months) enrolled 94 (45 male (47.9%) and 49 female (52.1%)) patients aged Me=33[28.7-38] years. The presence of overweight, general and abdominal obesity, and excess visceral fat level was analyzed. Treatment adherence was assessed using the quantitative assessment of the adherence (QAA-25) questionnaire. Overall adherence to treatment, adherence to lifestyle modification, pharmacotherapy, and medical follow-up were determined. A level of ≤49% was considered low; 50-74% as medium, and ≥75% as high. IBM SPSS Statistics 26 was used for statistical analyses. Results and Discussion. We found an increasing trend in the incidence of abdominal obesity and excess visceral fat levels during follow-up. In the study cohort, majority had low adherence levels: overall adherence to treatment – 64.9%(n=61), adherence to lifestyle modification – 53.2(n=50), adherence to pharmacotherapy – 64.9%(n=61), and adherence to medical support – 47.9% (n=45). In all types of low adherence levels, there was an increase in the incidence of abdominal obesity due to increased waist circumference and waist-to-hip ratio. Likewise, the odds of higher excess visceral fat levels increased by 1.15-fold with low overall treatment adherence; 1.19-fold with low adherence to lifestyle modification and pharmacotherapy; and 1.49-fold in those with low adherence to medical support. The odds of becoming overweight and obese increased in those with low and medium adherence to lifestyle modification by 6.22 and 10.11 times, respectively. Conclusions. The adherence level according to the QAA-25 scores in young adults was low. During follow-up in all types of low adherence levels, the incidence of abdominal obesity and the odds of excess visceral fat level increased. During 18-month prospective follow-up, the cardiometabolic profile significantly worsened in patients with low adherence. Developing personalized preventive programs considering the level of patient adherence may influence the effectiveness of treatment and improve metabolic health.
Disintegration of Multiple Parts of a Bone Transport Nail During Planned Removal
Authors: Halvorson Ryan , Kandemir Utku
Published: September 2024

Abstract

Case:

A 34-year-old man with a distal tibia bone defect was treated with an intramedullary bone transport nail (Precice Bone Transport System, NuVasive). During planned removal after successful treatment, 7 separate subcomponents of the nail became disconnected and had to be separately removed using specialized instrumentation. This occurred despite adherence to the manufacturer’s recommended technique for nail removal and in the absence of clinical or radiographic evidence of implant failure.

Conclusion:

When planning for implant removal, surgeons should be aware of potential intraoperative disconnection of subcomponents of this magnetic bone transport nail and ensure that equipment for retrieval (e.g., very long endoscopy forceps) is available.
Odontoid Fracture with Locked Posterolateral Atlantoaxial Dislocation
Authors: Iyer R Dinesh , Mengesha Mengitsu G. , Shetty Ajoy Prasad , Rajasekaran Shanmuganathan
Published: September 2024

Case:

Odontoid fractures with atlantoaxial dislocations are rare injuries. We report a case of a 41-year-old man with a Type 2 odontoid fracture with locket facet and posterolateral dislocation. He underwent single-stage C1-C4 posterior fixation and fusion, and at 2-year follow-up, he is symptom-free without any residual pain. Follow-up radiograph and CT scan show healed odontoid fracture with posterior fusion.

Conclusion:

This case highlights successful management of a complex odontoid fracture by a single-stage posterior surgery. Closed reduction is usually unsuccessful, and open reduction using posterior approach is preferable.
Robotic Placement of 3 Trans-Sacral TransiIliac Screws Through a Single Corridor for U-Type Sacrum Fracture
Authors: Vennitti Corinne , Schwartz Joshua , Ruland Jeffrey , Hadeed Michael , Yarboro Seth
Published: September 2024

Case:

We present a case of robot-assisted placement of 3 trans-sacral transiliac screws through a single corridor for an unstable U-type sacral fracture in a 95-year-old woman. She had persistent pain and inability to mobilize with physical therapy. At 3-month follow-up, the patient had evidence of interval healing and stable hardware and was able to return to her prior functional baseline.

Conclusion:

We demonstrate successful utilization of robotics to place 3 trans-sacral transiliac screws in a single corridor for fixation of an unstable pelvic ring injury. This technique was used to overcome challenges with visualization and implant placement.
The Miocene Acceleration of Strike-Slip Deformation in the Northern Tian Shan, Central Asia
Authors: Wang Siyu , Jiao Ruohong , Zhang Huiping , Zhang Jiawei , Pang Jianzhang
Published: September 2024

The Tian Shan has been deformed during the Cenozoic as a far-field response to the India–Eurasia collision. This contribution reports new apatite fission-track (AFT) and apatite (U-Th)/He data from the northern Tian Shan, including areas along the southern margin of the Junggar Basin and adjacent to the western segment of the Bolokenu-Aqikekuduk Fault (BAF). Thermal history modeling of the presented data suggests that the Cenozoic exhumation along the basin margin started >20 Ma, and the oblique-slip BAF could have been active since at least ~10 Ma with a total exhumation magnitude of ~2 km during the late Cenozoic. Since then, the mean exhumation rate on southern wall of the BAF is comparable to the Quaternary uplift rate previously measured on the same segment of the fault. To examine the extent of the Miocene acceleration of the transpressional deformation pattern, an exhumation model since 50 Ma was established by inverse modeling >1000 published and new AFT and (U-Th)/He ages from the Tian Shan and the northeastern Tibetan Plateau. The model suggests that after the initial unroofing, a significant acceleration in exhumation occurred during 15–10 Ma, in regions including the interiors of northern and southwestern Tian Shan near major strike-slip structures. This change coincided with the northward propagation of the Pamir and the eastward expansion of the northeastern Tibetan Plateau along the west and south margins of the Tarim Basin, respectively.
Lineamientos para la asignación de bonificaciones – Asesoría y revisión de trabajos de investigación (maestría).
Authors:   Universidad Científica del Sur
Published: September 2024

Lineamientos para la asignación de bonificaciones – Asesoría y revisión de trabajos de investigación (maestría). Versión 1.0 (2020). Registro histórico. Vea la versión vigente en: https://repositorio.cientifica.edu.pe/handle/20.500.12805/3668
Lineamientos para la asignación de bonificaciones – Editores y directores de revistas científicas publicadas por la Universidad
Authors:   Universidad Científica del Sur
Published: September 2024

Lineamientos para la asignación de bonificaciones – Editores y directores de revistas científicas publicadas por la Universidad. Versión 1.0 (2021). Registro histórico. Ver la versión posterior en: https://repositorio.cientifica.edu.pe/handle/20.500.12805/3696
Lineamiento – Asignación de bonificaciones por asesoría y revisión de documentos vinculados a grados y títulos
Authors:   Universidad Científica del Sur
Published: September 2024

Lineamiento para asignación de bonificaciones por asesoría y revisión de documentos vinculados a grados y títulos. Versión 1.0 (2023)
Lineamiento – Asignación y verificación de horas de investigación
Authors:   Universidad Científica del Sur
Published: September 2024

Lineamiento – Asignación y verificación de horas de investigación. Versión 2.0 (2024).
Effect of Stress and Thermal Deformation Modes on Correlation of Permeability of Naturally Fractured Sandstone and Shale Formations
Authors: Civan Faruk
Published: September 2024

Proper correlations of the variations of petrophysical properties like the permeability of naturally fractured porous subsurface formations are developed under different effective stress and thermal deformation modes. The threshold or critical stress and temperature conditions splitting the different deformation modes are determined by analyzing the experimental data. The stress and thermal deformation mode changes occurring at the critical stress and temperature are referred to as the stress and thermal shock phenomena. The improved correlations are developed using the experimental permeability data of the naturally fractured porous sandstone and shale formations based on the theoretically sound modified power-law equation. The critical effective stress and temperature values are determined at the slope discontinuity observed in the variation of the parameters of the modified power-law equation. The parameters of the modified power-law correlations are also correlated as functions of the effective stress and temperature. It is demonstrated that correlating the data separately over the different portions of the full data set divided by the critical stress and temperature values yields more accurate and representative correlations of the naturally fractured porous formations than the correlations obtained using the full-range data. The improved analytical and theoretically sound methodology and approaches presented in this paper can be applied effectively for the development of the improved correlations of the permeability of subsurface porous rock formations deforming by variation of the effective stress and temperature conditions, such as in geothermal and thermally stimulated petroleum reservoirs, and the subsurface storage processes considered for energy transition.
Air Injection into Condensate Reservoirs in the Middle and Late Stages Increases Recovery with Thermal Miscible Mechanism
Authors: Jiang Tongwen , Zhang Xiaokun , Xi Changfeng , Wang Bojun , Zhao Fang , Zhao Zeqi
Published: September 2024

Condensate gas reservoirs in the middle and late stages of development are faced with problems such as formation pressure reduction, serious retrograde condensation, and oil and gas seepage channel plugging, which make it difficult to further improve oil and gas recovery by conventional development methods. For this kind of condensate gas reservoir, in this paper we put forward air injection technology as a development means, taking the K condensate gas reservoir in the Tarim Oilfield as the research object. We explored the thermal oxidation characteristics and displacement efficiency of condensate oil/volatile oil by air injection through the thermal oxidation displacement experiment. In addition, we determined quantitatively the minimum miscibility pressure (MMP) of oil samples at high temperature and the correlation between MMP and temperature through a high-temperature, high-pressure slimtube experiment, and clarified the mechanism of “thermally assisted miscible” through fine full-component numerical simulations under high-temperature and high-pressure conditions, which indoor experiments could not achieve. The results showed that condensate oil/volatile oil can form a stable thermal front by injecting air, and the oil displacement efficiency is more than 90%. The MMP of flue gas produced by condensate oil and oxidation reaction decreases gradually with temperature increase, and the MMP is only 11 MPa at 260°C. The high temperature formed by oxidation heat release forces the oil phase into the gas phase, and the extraction of flue gas makes C2-C4 in the oil phase increase continuously, both of which promote the realization of heat-assisted evaporation miscible phase. This thermal-assisted miscible-phase mechanism makes air injection displacement technology an innovative replacement technology for greatly improving the recovery efficiency of condensate gas reservoirs in the middle and late development stages.
The Citronella and Savory Essential Oils Effect on Honeybees (Apis mellifera L.) Mortality
Authors: BENGOUGA Khalila , BETTICHE Farida , TAHARCHAOUCHE Souad , FADLAOUI Haroun , SALEMKOUR Nora
Published: September 2024

Recently a trend to use small concentrations of the essential oils of (Cymbopogonschoenanthus) or (Saccocalyxsatureioides) to control pests has extended. They are often used to suppress biotic enemies such as fungus, moulds, bacteria and insects. What is not known is whether these oils also influence beneficial beings such as honeybees. In preliminary experiments foragers’ bees were exposed by inhalation to different concentrations of C. schoenanthus) or (S. satureioides essential oils. Results showed that bees’ mortality in inhalation test increased with increase in concentrations of essential oils and exposure time. Both essential oils showed LC50 greater than 5 µl/ml.Meanwhile 205 µl/ml concentrations were more detrimental. Disturbance of locomotion and contractions of bees recorded by video sequences registered revealed that bees exposed to C. schoenanthus presented lesser contractions and were more active than bees exposed to S. satureioides whom presented more contractions and lesser locomotion activity. Our research provides further evidence supporting the use of conditioning techniques to evaluate the use of essential oils as optimal substances to be considered as alternative controls of pests assuming honey bee safety.
CRRGM:A Contextualized Real-time RGAT and GraphTransformer Method for multimodal emotion recognition in reinforcement learning
Authors: Chen Guoshun , Cao Xiaopeng , Liu Shuai
Published: September 2024

The task of emotion recognition in dialogues is crucial for constructing empathetic machines. Current research primarily focuses on learning emotion-related common features in multimodal data. However, it does not adequately address various dependency information of emotional features in dialogues. This oversight may lead to lower accuracy in multimodal emotion recognition and inability to recognize emotion in real time. To address this problem, we propose a contextualized approach using enhanced Relational Graph Attention Network and GraphTransformer for multimodal emotion recognition. This model employs Transformer to capture the global information between modalities. It then constructs a heterogeneous graph using the extracted global features and employs enhanced RGAT and GraphTransformer to model the complex dependencies in a conversation. Finally, a reinforcement learning algorithm is used to implement a real-time emotion recognition model. Extensive experiments on two benchmark datasets indicate that CRRGM achieves state-of-the-art performance.