bluuebunny/crossref_metadata_2025 huggingface dataset:
Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Authors: Hitouri Sliman , Mohajane Meriame , Lahsaini Meriam , Ali Sk Ajim , Setargie Tadesual Asamin , Tripathi Gaurav , D’Antonio Paola , Singh Suraj Kumar , Varasano Antonietta
Published: February 2024

Flood susceptibility mapping plays a crucial role in flood risk assessment and management. Accurate identification of areas prone to flooding is essential for implementing effective mitigation measures and informing decision-making processes. In this regard, the present study used high-resolution remote sensing products, i.e., synthetic aperture radar (SAR) images for flood inventory preparation and integrated four machine learning models (Random Forest: RF, Classification and Regression Trees: CART, Support Vector Machine: SVM, and Extreme Gradient Boosting: XGBoost) to predict flood susceptibility in Metlili watershed, Morocco. Initially, 12 independent variables (elevation, slope angle, aspect, plan curvature, topographic wetness index, stream power index, distance from streams, distance from roads, lithology, rainfall, land use/land cover, and normalized vegetation index) were used as conditioning factors. The flood inventory dataset was divided into 70% and 30% for training and validation purposes using a popular library, scikit-learn (i.e., train_test_split) in Python programming language. Additionally, the area under the curve (AUC) was used to evaluate the performance of the models. The accuracy assessment results showed that RF, CART, SVM, and XGBoost models predicted flood susceptibility with AUC values of 0.807, 0.780, 0.756, and 0.727, respectively. However, the RF model performed better at flood susceptibility prediction compared to the other models applied. As per this model, 22.49%, 16.02%, 12.67%, 18.10%, and 31.70% areas of the watershed are estimated as being very low, low, moderate, high, and very highly susceptible to flooding, respectively. Therefore, this study showed that the integration of machine learning models with radar data could have promising results in predicting flood susceptibility in the study area and other similar environments.
Forward Modeling of Robust Scattering Centers from Dynamic Ships on Time-Varying Sea Surfaces for Remote Sensing Target-Recognition Applications
Authors: Chen Rumeng , Hua Mengbo , He Siyuan
Published: February 2024

This paper presents a forward modeling method for the scattering center (SC) model of dynamic ships on time-varying sea surfaces, tailored for remote sensing and target-recognition applications. Grounded in ship hydrodynamics, the methodology delineates ship movements amidst fluctuating waves, harnessing computer graphics to integrate ship–sea geometries across diverse temporal instances. Utilizing the four-path model, the composite scattering effects are segregated into distinct ship and sea contributions, along with their mutual interactions. Augmented by high-frequency electromagnetic principles, the paper quantifies and deduces SC parameters, culminating in a 3-D parameterized SC model for complex maritime targets. Unlike conventional inverse methods, this approach employs a “cause-to-effect” forward strategy, establishing clear links between SCs and local geometries, enhancing the model’s physical clarity. Using the fishing ship as a case, this research compared the normalized similarity index and position-matching rate between the reconstructed synthetic aperture radar (SAR) image and the simulated SAR image. The results indicate that all computed results exceeded 90%. Furthermore, a comparison was conducted between the reconstructed radar cross-sections (RCS) obtained by expanding the model within a large angular range and the simulated results. The root mean square error between the two was less than 3 dB, affirming the accuracy and effectiveness of the proposed model. Additionally, the research examines the variations in SCs during the six-degrees-of-freedom motions, providing a detailed quantitative analysis of their temporal trends in amplitude and position. In summary, this investigation furnishes an efficient and economical framework for rapid radar characterization in dynamic, variable marine environments, fostering advancements in remote sensing and maritime target identification.
Biomass Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest
Authors: Solberg Svein , Bollandsås Ole Martin , Gobakken Terje , Næsset Erik , Basak Paromita , Duncanson Laura Innice
Published: February 2024

Mapping and quantification of forest biomass change are key for forest management and for forests’ contribution to the global carbon budget. We explored the potential of covering this with repeated acquisitions with TanDEM-X. We used an eight-year period in a Tanzanian miombo woodland as a test case, having repeated TanDEM-X elevation data for this period and repeated field inventory data. We also investigated the use of GEDI space–LiDAR footprint AGB estimates as an alternative to field inventory. The map of TanDEM-X elevation change appeared to be an accurate representation of the geography of forest biomass change. The relationship between TanDEM-X phase height and above-ground biomass (AGB) could be represented as a straight line passing through the origin, and this relationship was the same at both the beginning and end of the period. We obtained a similar relationship when we replaced field plot data with the GEDI data. In conclusion, temporal change in miombo woodland biomass is closely related to change in InSAR elevation, and this enabled both an accurate mapping and quantification wall to wall within 5–10% error margins. The combination of TanDEM-X and GEDI may have a near-global potential for estimation of temporal change in forest biomass.
A Vibration Analysis for the Evaluation of Fuel Rail Pressure and Mass Air Flow Sensors on a Diesel Engine: Strategies for Predictive Maintenance
Authors: Mafla-Yépez Carlos , Castejon Cristina , Rubio Higinio , Morales Cesar
Published: February 2024

This research focuses on the analysis of vibration of a compression ignition engine (CIE), specifically examining potential failures in the Fuel Rail Pressure (FRP) and Mass Air Flow (MAF) sensors, which are critical to combustion control. In line with current trends in mechanical system condition monitoring, we are incorporating information from these sensors to monitor engine health. This research proposes a method to validate the correct functioning of these sensors by analysing vibration signals from the engine. The effectiveness of the proposal is confirmed using real data from a Common Rail Direct Injection (CRDi) engine. Simulations using a GT 508 pressure simulator mimic FRP sensor failures and an adjustable potentiometer manipulates the MAF sensor signal. Vibration data from the engine are processed in MATLAB using frequency domain techniques to investigate the vibration response. The results show that the proposal provides a basis for an efficient predictive maintenance strategy for the MEC engine. The early detection of FRP and MAF sensor problems through a vibration analysis improves engine performance and reliability, minimizing downtime and repair costs. This research contributes to the advancement of monitoring and diagnostic techniques in mechanical engines, thereby improving their efficiency and durability.
Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images
Authors: Jong Lynn-Jade S. , Appelman Jelmer G. C. , Sterenborg Henricus J. C. M. , Ruers Theo J. M. , Dashtbozorg Behdad
Published: February 2024

(1) Background: Hyperspectral imaging has emerged as a promising margin assessment technique for breast-conserving surgery. However, to be implicated intraoperatively, it should be both fast and capable of yielding high-quality images to provide accurate guidance and decision-making throughout the surgery. As there exists a trade-off between image quality and data acquisition time, higher resolution images come at the cost of longer acquisition times and vice versa. (2) Methods: Therefore, in this study, we introduce a deep learning spatial–spectral reconstruction framework to obtain a high-resolution hyperspectral image from a low-resolution hyperspectral image combined with a high-resolution RGB image as input. (3) Results: Using the framework, we demonstrate the ability to perform a fast data acquisition during surgery while maintaining a high image quality, even in complex scenarios where challenges arise, such as blur due to motion artifacts, dead pixels on the camera sensor, noise from the sensor’s reduced sensitivity at spectral extremities, and specular reflections caused by smooth surface areas of the tissue. (4) Conclusion: This gives the opportunity to facilitate an accurate margin assessment through intraoperative hyperspectral imaging.
Digital Twin Platform for Water Treatment Plants Using Microservices Architecture
Authors: Rodríguez-Alonso Carlos , Pena-Regueiro Iván , García Óscar
Published: February 2024

The effects of climate change and the rapid growth of societies often lead to water scarcity and inadequate water quality, resulting in a significant number of diseases. The digitalization of infrastructure and the use of Digital Twins are presented as alternatives for optimizing resources and the necessary infrastructure in the water cycle. This paper presents a framework for the development of a Digital Twin platform for a wastewater treatment plant, based on a microservices architecture which optimized its design for edge computing implementation. The platform aims to optimize the operation and maintenance processes of the plant’s systems, by employing machine learning techniques, process modeling and simulation, as well as leveraging the information contained in BIM models to support decision-making.
A Novel Fault Diagnosis Strategy for Diaphragm Pumps Based on Signal Demodulation and PCA-ResNet
Authors: Meng Fanguang , Shi Zhiguo , Song Yongxing
Published: February 2024

The efficient and accurate identification of diaphragm pump faults is crucial for ensuring smooth system operation and reducing energy consumption. The structure of diaphragm pumps is complex and using traditional fault diagnosis strategies to extract typical fault characteristics is difficult, facing the risk of model overfitting and high diagnostic costs. In response to the shortcomings of traditional methods, this study innovatively combines signal demodulation methods with residual networks (ResNet) to propose an efficient fault diagnosis strategy for diaphragm pumps. By using a demodulation method based on principal component analysis (PCA), the vibration signal demodulation spectrum of the fault condition is obtained, the typical fault characteristics of the diaphragm pump are accurately extracted, and the sample features are enhanced, reducing the cost of fault diagnosis. Afterward, the PCA-ResNet model is applied to the fault diagnosis of diaphragm pumps. A reasonable model structure and advanced residual block design can effectively reduce the risk of model overfitting and improve the accuracy of fault diagnosis. Compared with the visual geometry group (VGG) 16, VGG19, ResNet50, and autoencoder models, the proposed model has improved accuracy by 35.89%, 80.27%, 2.72%, and 6.12%. Simultaneously, it has higher operational efficiency and lower loss rate, solving the problem of diagnostic lag in practical engineering. Finally, a model optimization strategy is proposed through model evaluation metrics and testing. The reasonable parameter range of the model is obtained, providing a reference and guarantee for further optimization of the model.
Probing with Each Step: How a Walking Crab-like Robot Classifies Buried Cylinders in Sand with Hall-Effect Sensors
Authors: Grezmak John , Daltorio Kathryn A.
Published: February 2024

Shallow underwater environments around the world are contaminated with unexploded ordnances (UXOs). Current state-of-the-art methods for UXO detection and localization use remote sensing systems. Furthermore, human divers are often tasked with confirming UXO existence and retrieval which poses health and safety hazards. In this paper, we describe the application of a crab robot with leg-embedded Hall effect-based sensors to detect and distinguish between UXOs and non-magnetic objects partially buried in sand. The sensors consist of Hall-effect magnetometers and permanent magnets embedded in load bearing compliant segments. The magnetometers are sensitive to magnetic objects in close proximity to the legs and their movement relative to embedded magnets, allowing for both proximity and force-related feedback in dynamically obtained measurements. A dataset of three-axis measurements is collected as the robot steps near and over different UXOs and UXO-like objects, and a convolutional neural network is trained on time domain inputs and evaluated by 5-fold cross validation. Additionally, we propose a novel method for interpreting the importance of measurements in the time domain for the trained classifier. The results demonstrate the potential for accurate and efficient UXO and non-UXO discrimination in the field.
Design and Characterization of a Powered Wheelchair Autonomous Guidance System
Authors: Gallo Vincenzo , Shallari Irida , Carratù Marco , Laino Valter , Liguori Consolatina
Published: February 2024

The current technological revolution driven by advances in machine learning has motivated a wide range of applications aiming to improve our quality of life. Representative of such applications are autonomous and semiautonomous Powered Wheelchairs (PWs), where the focus is on providing a degree of autonomy to the wheelchair user as a matter of guidance and interaction with the environment. Based on these perspectives, the focus of the current research has been on the design of lightweight systems that provide the necessary accuracy in the navigation system while enabling an embedded implementation. This motivated us to develop a real-time measurement methodology that relies on a monocular RGB camera to detect the caregiver’s feet based on a deep learning method, followed by the distance measurement of the caregiver from the PW. An important contribution of this article is the metrological characterization of the proposed methodology in comparison with measurements made with dedicated depth cameras. Our results show that despite shifting from 3D imaging to 2D imaging, we can still obtain comparable metrological performances in distance estimation as compared with Light Detection and Ranging (LiDAR) or even improved compared with stereo cameras. In particular, we obtained comparable instrument classes with LiDAR and stereo cameras, with measurement uncertainties within a magnitude of 10 cm. This is further complemented by the significant reduction in data volume and object detection complexity, thus facilitating its deployment, primarily due to the reduced complexity of initial calibration, positioning, and deployment compared with three-dimensional segmentation algorithms.
Toward Verification of DAG-Based Distributed Ledger Technologies through Discrete-Event Simulation
Authors: Khan Misbah , Hartog Frank den , Hu Jiankun
Published: February 2024

As the potential of directed acyclic graph (DAG)-based distributed ledgers in IoT systems unfolds, a need arises to understand their intricate dynamics in real-world scenarios. It is well known that discrete event simulations can provide high-fidelity evaluations of protocols. However, there is a lack of public discrete event simulators capable of assessing DAG-based distributed ledgers. In this paper, a discrete-event-based distributed ledger simulator is introduced, with which we investigate a custom Python-based implementation of IOTA’s Tangle DAG protocol. The study reveals the dynamics of Tangle (particularly Poisson processes in transaction dynamics), the efficiency and intricacies of the random walk in Tangle, and the quantitative assessment of node convergence. Furthermore, the research underscores the significance of weight updates without depth limitations and provides insights into the role, challenges, and implications of the coordinator/validator in DAG architectures. The results are striking, and although the findings are reported only for Tangle, they demonstrate the need for adaptable and versatile discrete event simulators for DAG architectures and tip selection methodologies in general.
Design and Validation of Miniaturized Repetitive Transcranial Magnetic Stimulation (rTMS) Head Coils
Authors: Abbasi Shaghayegh , Alluri Sravya , Leung Vincent , Asbeck Peter , Makale Milan T.
Published: February 2024

Repetitive transcranial magnetic stimulation (rTMS) is a rapidly developing therapeutic modality for the safe and effective treatment of neuropsychiatric disorders. However, clinical rTMS driving systems and head coils are large, heavy, and expensive, so miniaturized, affordable rTMS devices may facilitate treatment access for patients at home, in underserved areas, in field and mobile hospitals, on ships and submarines, and in space. The central component of a portable rTMS system is a miniaturized, lightweight coil. Such a coil, when mated to lightweight driving circuits, must be able to induce B and E fields of sufficient intensity for medical use. This paper newly identifies and validates salient theoretical considerations specific to the dimensional scaling and miniaturization of coil geometries, particularly figure-8 coils, and delineates novel, key design criteria. In this context, the essential requirement of matching coil inductance with the characteristic resistance of the driver switches is highlighted. Computer simulations predicted E- and B-fields which were validated via benchtop experiments. Using a miniaturized coil with dimensions of 76 mm × 38 mm and weighing only 12.6 g, the peak E-field was 87 V/m at a distance of 1.5 cm. Practical considerations limited the maximum voltage and current to 350 V and 3.1 kA, respectively; nonetheless, this peak E-field value was well within the intensity range, 60–120 V/m, generally held to be therapeutically relevant. The presented parameters and results delineate coil and circuit guidelines for a future miniaturized, power-scalable rTMS system able to generate pulsed E-fields of sufficient amplitude for potential clinical use.
Optimizing Cold Chain Distribution Routes Considering Dynamic Demand: A Low-Emission Perspective
Authors: Jiang Xiaoyun , Liu Xiangxin , Pan Fubin , Han Zinuo
Published: February 2024

Cold chain logistics, with its high carbon emissions and energy consumption, contradicts the current advocacy for a “low-carbon economy”. Additionally, in the real delivery process, customers often generate dynamic demand, which has the characteristic of being sudden. Therefore, to help cold chain distribution companies achieve energy-saving and emission-reduction goals while also being able to respond quickly to customer needs, this article starts from a low-carbon perspective and constructs a two-stage vehicle distribution route optimization model that minimizes transportation costs and refrigeration costs, alongside carbon emissions costs. This research serves to minimize the above-mentioned costs while also ensuring a quick response to customer demands and achieving the goals of energy conservation and emission reduction. During the static stage, in order to determine the vehicle distribution scheme, an enhanced genetic algorithm is adopted. During the dynamic optimization stage, a strategy of updating key time points is employed to address the dynamic demand from customers. By comparing the dynamic optimization strategy with the strategy of dispatching additional vehicles, it is demonstrated that the presented model is capable of achieving an overall cost reduction of approximately 17.13%. Notably, carbon emission costs can be reduced by around 17.11%. This demonstrates that the dynamic optimization strategy effectively reduces the usage of distribution vehicles and lowers distribution costs.
Plasma Concentrations of High Mobility Group Box 1 Proteins and Soluble Receptors for Advanced Glycation End-Products Are Relevant Biomarkers of Cognitive Impairment in Alcohol Use Disorder: A Pilot Study
Authors: Rodríguez de Fonseca Fernando , Medina-Paz Francisco , Sapozhnikov Mira , Hurtado-Guerrero Isaac , Rubio Leticia , Martín-de-las-Heras Stella , Requena-Ocaña Nerea , Flores-López María , Fernández-Arjona María del Mar , Rivera Patricia , Serrano Antonia , Serrano Pedro , C. Zapico Sara , Suárez Juan
Published: February 2024

Alcohol use disorder (AUD) is a major component in the etiology of cognitive decline and dementia. Underlying mechanisms by which long-term alcohol abuse causes cognitive dysfunction include excessive oxidative stress and inflammation in the brain, activated by increased reactive oxygen/nitrogen species (ROS/RNS), advanced glycation end-products (AGEs) and high-mobility group box 1 protein (HMGB1). In a pilot study, we examine the potential clinical value of circulating biomarkers of oxidative stress including ROS/RNS, HMGB1, the soluble receptor for AGE (sRAGE), the brain biomarker of aging apolipoprotein D (ApoD), and the antioxidant regulator nuclear factor erythroid 2-related factor 2 (NRF2) as predictive indices for cognitive impairment (CI) in abstinent patients with AUD (n = 25) compared to patients with established Alzheimer’s disease (AD, n = 26) and control subjects (n = 25). Plasma concentrations of sRAGE were evaluated with immunoblotting; ROS/RNS with a fluorometric kit; and HMGB1, ApoD, and NRF2 by ELISA. Abstinent AUD patients had higher sRAGE, ROS/RNS (p < 0.05), and ApoD (p < 0.01) concentrations, similar to those of AD patients, and lower NRF2 (p < 0.01) concentrations, compared to controls. These changes were remarkable in AUD patients with CI. HMGB1, and sRAGE correlated positively with duration of alcohol use (rho = 0.398, p = 0.022; rho = 0.404, p = 0.018), whereas sRAGE correlated negatively with periods of alcohol abstinence (rho = −0.340, p = 0.045). A predictive model including ROS/RNS, HMGB1, sRAGE, alcohol use duration, and alcohol abstinence periods was able to differentiate AUD patients with CI (92.3% of correct predictions, ROC-AUC= 0.90) from those without CI. In conclusion, we propose ROS/RNS, HMGB1, and sRAGE as stress biomarkers capable of predicting cognitive impairment in AUD patients.
Transcriptomic Responses to Koi Herpesvirus in Isolated Blood Leukocytes from Infected Common Carp
Authors: Cano Irene , Blaker Ellen , Hartnell David , Farbos Audrey , Moore Karen A. , Cobb Adele , Santos Eduarda M. , van Aerle Ronny
Published: February 2024

Koi herpesvirus (KHV, CyHV-3) causes severe economic losses in carp farms. Its eradication is challenging due to the establishment of latency in blood leukocytes and other tissues. To understand the molecular mechanisms leading to KHV infection in leukocytes, common carp were bath-exposed to KHV at 17 °C. After confirming the presence of viral transcripts in blood leukocytes at ten days post infection, RNA-Seq was performed on peripheral blood leukocytes on the Illumina NovaSeq. KHV infection triggered a robust immune response mediated by pattern recognition receptors, mainly toll-like receptors (tlr2, tlr5, tlr7, and tlr13), urokinase plasminogen activator surface receptor-like, galectin proteins, and lipid mediators such as leukotriene B4 receptor 1. Enriched pathways showed increased mitochondria oxidative phosphorylation and the activation of signalling pathways such as mitogen-activated protein kinases (MAPKs) and vascular endothelial growth factor (VEGF). KHV-infected leukocytes showed low production of reactive oxygen species (ROS) and glutathione metabolism, high iron export and phagocytosis activity, and low autophagy. Macrophage polarization was deduced from the up-regulation of genes such as arginase non-hepatic 1-like, macrophage mannose receptor-1, crem, il-10, and il-13 receptors, while markers for cytotoxic T cells were observed to be down-regulated. Further work is required to characterise these leukocyte subsets and the molecular events leading to KHV latency in blood leukocytes.
Orodental manifestations of Noonan syndrome: a clinical case study
Authors: Modina T. N. , Mamaeva E. V. , Moseeva M. V. , Salimova L. R. , Musina N. A. , Lyamina V. S.
Published: February 2024

Relevance. Mutations in the PTPN11 gene, a hallmark of Noonan syndrome, disrupt the normal development of connective tissue structure, resulting in a range of manifestations, including orodental abnormalities.

Clinical case description. This article presents a medical record of a 14-year-old patient diagnosed with Noonan syndrome who sought medical assistance due to exacerbated chronic generalized periodontitis. The authors implemented a two-stage treatment approach, resulting in satisfactory outcomes. They identified concurrent orodental symptoms and conducted analyses of orthopantomography and bone densitometry for both jaws. A personalized treatment schedule was devised, emphasizing the necessity for the patient's chronic periodontitis to be in a state of remission and the utilization of sedation for effective management. Following the implementation of a planned series of therapeutic interventions during the remission stage, including professional oral care, teeth splinting with orthodontic retainers, nonsurgical root debridement, and mandibular labial frenuloplasty, quarterly follow-up assessments were chosen as the preferred monitoring method.

Conclusion. Patients with hereditary pathologies, such as Noonan syndrome, often exhibit significant orodental manifestations. Addressing such conditions necessitates specific treatment techniques that integrate a comprehensive approach, timely diagnostics, and collaboration between general practitioners and dentists. Given the unique needs of these patients, it is essential to develop personalized treatment protocols tailored to their individual requirements, including the duration and efficacy of chosen treatments, as well as considerations for anesthesia or sedation care.
Teaching Language and Cultural Creativity through the Textual Composition of the Hispanic American Tale: Epistemological Reasoning and Subjective Imagination
Authors: Rivera Joel Laffita
Published: February 2024

Currently, the search for alternatives that allow the teaching of creativity is subject of discussion in the scientific research community. Due to the attention that this is having in the educational field, including the discipline of Spanish as foreign language (ELE), it is necessary to provide new approaches and possible solutions that cope with this view. The objective of this research is to present a manuscript that serves as a reference for the teaching Spanish language and cultural creativity through the textual composition of the Hispanic American Tale. To achieve this objective, an analysis of this theme has been carried out in juxtaposition with the hypothesis that the research presents. The result of which, straits the acquisition of cognitive and affective domains of the target language. The research has used a combined qualitative and quantitative method for the collection and analysis of literary materials from the hand and work of prominent Hispanic American writers, scientific and academic publications, and accredited websites. This documentation is in absolute correspondence with the objective presented in this research study.
Leveraging Indian Knowledge Systems for Holistic Development of Prospective Teachers
Authors:   Ph. D. Research Scholar, Sri Sarada College of Education (Autonomous), Salem, Tamil Nadu, G Ambika , V Priya ,   Associate Professor of Physical Science, Sri Sarada College of Education (Autonomous), Salem, Tamil Nadu
Published: February 2024

The holistic development of prospective teachers is crucial for fostering effective and efficient educators who can nurture the all-round development of their students and contribute to a thriving society. Indian Knowledge Systems (IKS), with their rich insights into human development, offer a valuable framework for enhancing teacher education curriculum and pedagogy. By integrating the principles and practices of Indian Knowledge Systems into teacher education programs, we will empower prospective teachers to become holistic educators who embody the values of knowledge, compassion, and well-being. This paper delves into the significance of leveraging IKS for the holistic development of prospective teachers. It explores the multifaceted nature of IKS, highlighting its potential to enrich teacher education curriculum and pedagogy. Additionally, it outlines practical strategies for incorporating IKS into teacher education programs, emphasizing the importance of collaboration, experiential learning, and community engagement. Finally, it underscores the need for promoting IKS research in teacher education to further advance the integration of IKS principles and practices in this field.
Influence of Environmental Studies on Environmental Protection among Higher Secondary Students
Authors:   Associate Professor, Bethlehem College of Education, Karungal, Kanyakumari District, Tamil Nadu, R J Beena Florence Donark
Published: February 2024

Education is important for each and every human being. The present society is facing a lot of challenges and one among them is the environmental problems. The present study deals with the impact of environmental studies on environmental protection among higher secondary students. The findings revealed that there is no significant difference in environmental studies and environmental protection of higher secondary students with regard to gender; and there is significant difference in environmental studies and environmental protection of higher secondary students with regard to locality of the institution.
Assessing the Conservation and Management Status in the Archaeological Site of Pella (Tabaqat Fahl) in Jordan
Authors: Kazali Farrah O. , Jamhawi Monther M. , Al-Ruzouq Rami I.
Published: February 2024

The archaeological site of Pella (Tabaqat Fahl) in Jordan is a unique heritage site that represents a rich historical chronology and is listed on UNESCO’s Tentative List of World Heritage Sites under criteria (i), (iii), and (iv). Pella is currently under the administration and management of the Ministry of Tourism and Antiquities (MOTA) and the Department of Antiquities (DoA) respectively. This paper assesses the site’s status of conservation and management through investigating the current physical conditions, threats, managerial constraints, and opportunities. The paper explores the annual work carried out in the site over the past 15 years, including foreign missions, as well as the new visitor centre that the MOTA has established in the site recently. In addition, all stakeholders that have cross responsibilities in the site are identified. The results of this research highlight strengths, weaknesses, threats, and opportunities that face the site. It is evident that the site requires efficient conservation and management processes, as Pella has slowly deteriorated over the years, which has left it in a vulnerable and neglected state. Overall, the archaeological site of Pella holds immense opportunities for improvement and strengthening its Outstanding Universal Value (OUV) that can aid in inscribing it on the list of World Heritage Sites.
(م ب ق ر ا/ م ب ق ر) في النقوش النبطيَّة السينائيَّة ومخطوطات البحر الميِّت
Authors: Al-Salameen Zeyad Mahdi , Al-Qananweh Ekhlass Khalid
Published: February 2024

تتناول هذه الورقة بالدراسة والتحليل كلمة (م ب ق ر ا) التي ترد في بعض نقوش سيناء النبطيَّة، وستُناقش في سياقيها الاشتقاقي والاصطلاحي، اعتمادًا على المعاجم الساميَّة المختصَّة، والنقوش الساميَّة المنشورة، بالإضافة إلى اتكاء خاص على المادة المعجميَّة في مخطوطات البحر الميت، والعهد القديم العبري
Excitation Equations for Longitudinally-Azimutally Irregular Waveguides Taking into Account the Finite of the Walls Conductivity
Authors: Kurayev А. А. , Matveyenka V. V.
Published: February 2024

Excitation equations for longitudinal-azimuthally irregular waveguides are formulated taking into account losses in the walls. The inner surface of the waveguide walls is given by an arbitrary smooth function b(ϕ, z). The coordinate transformation method replaces the original cylindrical coordinate system r, ϕ, z with a new one ρ, ϕ, z, where ρ = r/(b(ϕ, z)). The new system defines the waveguide boundary as ρ = 1 = const, i. e. the waveguide geometry transforms as a regular cylinder. Taking these functions into account, the standard procedure of the incomplete Galerkin method is used to determine the amplitudes of partial waves. The resulting general equations can be used in the calculation and optimization of both microwave and EHF electronic devices of various types, as well as passive microwave devices of various applications.
Kolaborasi Orang Tua dan Guru dalam Penanaman Karakter Religius di SMP Negeri 2 Candiroto Satu Atap Temanggung
Authors: Nursa'adah Sri Hidayati , Sriyanti Lilik
Published: February 2024

SMP Negeri 2 Candiroto Satu Atap merupakan sekolah yang berada di daerah terpencil. Rendahnya taraf ekonomi dan tingkat pendidikan masyarakat membuat pola pikir acuh tak acuh terhadap pendidikan, khususnya pendidikan karakter religius siswa Penelitian ini bertujuan untuk menganalisis bagaimana desain, implementasi serta faktor yang menghambat kegiatan penanaman karakter religius pada peserta didik kelas IX di SMP Negeri 2 Candiroto Satu Atap Temanggung. Penulis menggunakan pendekatan kualitatif naturalistik melalui metode wawancara, observasi, dan dokumentasi. Sedangkan teknik analisis data menggunakan analisis data kualitatif dengan prosedur mengumpulkan, mereduksi data, menyajikan data, dan mengambil kesimpulan yang kemudian di verifikasi. Temuan hasil penelitian: (1) Desain dan implementasi kegiatan penanaman karakter religius pada peserta didik kelas IX di SMP Negeri 2 Candiroto Satu Atap Temanggung antara lain: penanaman karakter religius melalui kegiatan pembiasaan di luar kelas, penanaman karakter religius melalui kegiatan ekstrakurikuler, penanaman karakter religius melalui kegiatan peringatan hari besar Islam. (2) Pola kolaborasi antara orang tua dan guru antara lain, komunikasi langsung, kunjungan sekolah ke rumah siswa (parenting visitation), kerjasama dengan komite sekolah, kegiatan doa bersama orang tua siswa. (3) Faktor penghambat kolaborasi: Keterbatasan komunikasi, partisipasi orang tua yang rendah, ketidak sesuaian prioritas, kurangnya evaluasi.
Estimasi Kesalahan Pengukuran dalam Penilaian Sidang Skripsi: Generalizability Theory Analysis
Authors: Safitri Islamiani , Rosnawati Raden , Ansyari Rizli , Abada Rofia
Published: February 2024

Tujuan dari penelitian ini adalah untuk mengestimasi kesalahan pengukuran dalam penilaian siding skripsi mahasiswa Prodi Pendidikan Matematika, Universitas Labuhanbatu. Penelitian ini menggunakan pendekatan kuantitatif deskriptif untuk mengurai kesalahan pengukuran pada penilaian siding skripsi mahasiswa. Populasi Populasi dalam penelitian ini adalah lembar penilaian sidang skripsi mahasiswa dan sampel yang digunakan adalah respon jawaban pada lembar penilaian sidang skripsi dari tiga dosen penguji yang menilai sebanyak 10 mahasiswa. Pengambilan sampel dilakukan dengan menggunakan teknik proportionate stratified random sampling. Setiap dosen penguji diberikan lembar penilaian dengan 8 item yang mengukur 8 aspek. Penilaian dari ketiga dosen penguji sidang skripsi akan dianalisis menggunakan Generalizability Theory Two Facet dengan desain i x r x s. Setelah dilakukan analisis, maka hasil dari penelitian ini yaitu varians terbesar berdasarkan G-study adalah pada aspek residual sebesar 75,1%, aspek interaksi student-rater sebesar 13,1%, dan aspek student sebesar 11,6%. Sedangkan ratio of varians-N yang paling besar adalah pada aspek student sebesar 5,12, lalu diikuti oleh aspek student-rater sebesar 0,96, aspek residual sebesar 0,23, dan aspek student-item sebesar 0,0045. Pada penelitian ini juga diperoleh generalizability coefficient awal sebesar 0.5096671, lalu dimodifikasi sehingga menghasilkan dependability coefficient sebesar 0.810694.
Genetic biomarkers related to the population risks of posttraumatic stress disorder development: single nucleotide variants, gene interactions, and haplotypes
Authors: Gayduk Arsenii Ya. , Sustretov Aleksei S. , Kokorev Daniil A. , Kuznetsov Aleksei A. , Gonda Xenia , Sack Alexander T. , Syunyakov Timur S. , Smirnova Darya A.
Published: February 2024

The increasing relevance of PTSD issues is associated with the escalation of military conflicts worldwide. Complex biological mechanisms also play a significant role in the pathogenesis of PTSD, including those changes observed in the hippocampus and other brain structures.
Aim– to identify the most significant genetic markers predisposing the risk of PTSD manifestation, which could contribute to the development of targeted interventions focusing on the preventive measures and treatment strategies of this disorder.
A literature search was conducted in the PubMed database using keywords related to the genetics of PTSD, with a publication time restriction from 2018 to 2023. Out of 623 papers, 20 articles met the inclusion criteria, describing molecular-genetic and statistical data, and the sample size of at least 60 patients with a verified PTSD diagnosis, were reviewed and analyzed in detail.
The studies revealed significant associations between PTSD occurrence and single nucleotide variants (SNVs) in the FKBP5 and CRHR1 genes. Particular attention was paid to the interactions between SNVs of different genes and their association with the severity of PTSD clinical manifestations.
Conclusions.Genetic markers, in particular, SNVs in the FKBP5 (rs9470080) and CRHR1 (rs1724402) genes, may play a key role as the risk factors for biological predisposition and the PTSD development. These findings would underlie the targeted interventions integrated into PTSD-related prevention measures and treatment strategies. However, further multicenter and consortium studies with unified design are required to confirm the significance of the identified associations and to specify the epigenetic aspects contributing to the PTSD manifestation and development.
Sankardeva’s “Eka-Sarana Nama Dharma” and Its Contribution Towards the Formation of a Greater Assamese Society
Authors:   Department of Philosophy, Cotton University, Lakhimpur, Assam, India, Borah Chunchuni
Published: February 2024

Srimanta sankardeva, the great soul of Assam, played a pivotal role in the formation of a larger assamese society. During the time of sankardeva’s birth, the atmosphere of Assam was clouded by many uncivil practices(Goswami 2018) .Sankardeva was able to open the eyes of all the people by spreading the seeds of “ Eka –sarana nama dharma” in the beautiful land of Assam. Sankardeva envisioned Assam as a divine garden where all the people of different ethnic groups and tribes live their lives. He broke down all the instability by uniting them through the thread of bhakti.
Fishery resources of commercial invertebrates of Russian Seas and it’s use during 2000–2020
Authors: Bizikov Vyacheslav A. , Alexeyev Dmitry  O. , Abaev Alexej D. , Artemenkov Dmitry V. , Afeichuk Larisa S. , Bakanev Sergey V. , Borisovets Eugeny  E. , Botnev Dmitry A. , Borilko Oleg Yu. , Buyanovsky Alexej  I. , Vlasenko Roman V. , Galanin Dmitry A. , Gon Ruslan T. , Goryanina Svetlana V. , Grigorov Vladislav G. , Drobyazin Eugeny N. , Dulenina Polina A. , Zhukovskaya Galina V. , Zuev Mikhail A. , Ivanov Pavel  Yu. , Ilyin Oleg I. , Karpinsky Mikhail  G. , Kim Anastasiya Ch. , Klinushkin Sergej  V. , Lysenko Alexander V. , Manushin Igor  E. , Matushkin Vitaly B. , Metelyov Evgeny A. , Mikhaylova O. G. , Moiseev Sergej  I. , Nizyaev Sergey A. , Pavlov Valery A. , Pereladov Mikhail V. , Saenko Elrena M. , Sennikov Alexander M. , Sergeenko Viktor A. , Sleezkin Alexej G. , Smirnov Igor P. , Sologub Denis O. , Stesko Alexej V. , Kharitonov Alexander V. , Khoroshutina Olga A. , Shaginyan Eduard R. , Shcherbakova Julia  A. , Chalienko Maria O. , Chernienko Igor S. , Yuriev Dmitry  N.
Published: February 2024

The purposeof the work is to describe the changes of resources of commercial invertebrates in Russia and to analyze its use over the mentioned period.

The research methodsconsisted in summarizing information on the state of the resources of commercial invertebrates in the seas of Russia and analyzing of the data of fishing statistics for 2000–2020.

Resultsof the study are a description of the changes that have occurred with the main stocks of commercial invertebrates in the seas of Russia and the features of fishery, with an assessment of the current state of stocks.

Discussion.The number of stocks for fishery prediction increased during the first two decades of the XXI century due to finding of new commercial fishery subjects. At the same time, a number of invertebrate stock units have lost their commercial significance over the past two decades of the XXI century. Сhanges in the structure of the resources and fishery of commercial invertebrates happened. The structure of invertebrates resources of the Far Eastern Fisheries basin proved to be the most conservative, while the importance of new fishing subjects significantly increased in the Northern and Azov-Black Sea fisheries basins.

The noveltyof the work lies in the analysis of the state invertebrates resources in the seas of Russia and their fishery in 2000–2020.

Conclusion. In general, the fishery resources of invertebrates in the Russian Seas were fairly stable during 2000 to 2020, and ensured an increase in catch due to more full use.
ENERGY, ENVIRONMENTAL, AND EXERGOECONOMIC (3E) ANALYSIS OF TRANSCRITICAL CO2 BOOSTER AND PARALLEL COMPRESSION SUPERMARKET REFRIGERATION CYCLES IN CLIMATE ZONES OF TÜRKİYE
Authors: ÇALIŞKAN Oğuz , ERSOY H.kürşad
Published: February 2024

Legal restrictions on high-GWP refrigerants lead to the widespread use of carbon dioxide in commercial refrigeration, where there is a high energy consumption. Although CO2 has many benefits, its lower critical temperature and higher operation pressure compared to other refrigerants lead to performance reduction. For this reason, studies have been conducted by researchers for performance enhancement. This paper presents energy, environmental impact, and exergoeconomic (3E) analysis of transcritical CO2 booster and parallel compression supermarket refrigeration cycles based on meteorological data of 11 provinces in Türkiye as samples of different climatic regions. Parallel compression cycle achieved up to 18.4% higher coefficient of performance than booster cycle between the investigated ambient temperatures. Up to 5.6% annual energy consumption and environmental impact reduction were obtained using parallel compression. Unit product costs of the parallel compression cycles were calculated between 8.2% and 18% lower than booster cycle in investigated provinces. Developing energy-efficient systems that use environmentally friendly refrigerants will contribute to a sustainable future.
ODONTOLOGIA HOSPITALAR: A NOVA ESPECIALIDADE ODONTOLÓGICA QUE RATIFICA A IMPORTÂNCIA DO CIRURGIÃO-DENTISTA NAS UNIDADES DE TERAPIA INTENSIVA.
Authors: Barros Maria Izabella Marques , Silva Amerson José Firmino da , Marcelino William Max do Nascimento , Teixeira Joás de Araújo , Cipriano Fernanda Maria Vieira Eskinazi , Ribeiro Adriana da Costa
Published: February 2024

A Odontologia hospitalar é a nova especialidade odontológica que atua na promoção da saúde bucal de indivíduos que necessitam de assistência em ambiente hospitalar, beneficiando a homeostase da saúde geral do paciente. O objetivo deste estudo foi discutir a importância do cirurgião-dentista na equipe multidisciplinar das unidades de terapia intensiva (UTI) através de um estudo transversal e qualitativo, do tipo survey, que utilizou como instrumento de pesquisa um questionário aplicado numa amostra de 15 cirurgiões-dentistas atuantes na UTI de hospitais públicos e privados de Pernambuco. Os dados obtidos foram submetidos à análise estatística descritiva. Quanto à atuação do profissional na UTI, cerca de 93,3% dos participantes  consideraram comum a presença de lesões bucais no paciente internado e  66,7% classificaram o perfil bucal dos pacientes como sendo desfavorável. Sobre a presença do CD no âmbito hospitalar, a maior parte dos profissionais (73,3%) afirmou que a profissão ainda não tem o devido reconhecimento. Os dados obtidos nesse estudo confirmaram a importância da atuação do CD na prevenção e promoção de saúde dos pacientes internados em UTI e evidenciaram a falta de reconhecimento da presença desses profissionais nos hospitais.
The use of the Internet in the performance of schoolwork: A case study
Authors: Bulatovic Jelisavka
Published: February 2024

Students can easily search for the relevant information they require on the internet. Before the spread of the internet, students had to go through many books to find the information they needed, which was a time taking process. Things are now faster and easier because there are numerous websites that provide important information that can help students with their academic work and assignments. This also helps students remain up to date with the latest information.The paper discusses and explains the possibilities of using internet in solving school assignments in which the students of the Academy of Technical - Art Professional Studies in Belgrade participated.  It’s not just the classroom environment that’s changing, either; instructors and educators alike have to change their methods of teaching to match the new ways in which students prefer to learn.
História pública, racismo e intolerância religiosa: desafios e possibilidades. Uma conversa com a historiadora Juliana Teixeira Souza
Authors: Barros da Silva Filho Juscelino
Published: February 2024

Nos últimos anos o debate em torno da função do historiador nos espaços públicos tem se tornado cada vez mais intenso. Especialmente devido aos constantes usos do passado nas mídias por parte de grupos reacionários em sua maioria não especializados em história se utilizando de narrativas históricas para fins ideológicos a exemplo do Brasil Paralelo. Tais ações tem resultado numa crescente negação de problemas tais como o racismo e a intolerância religiosa sofrida por grupos de matriz africana. Tais discursos possuem um forte efeito capilarizador na sociedade, visto que o caminho da negação destes problemas não tem incidido sobre as pessoas ligadas as classes privilegiadas do Brasil que detém o monopólio dos meios de comunicação, mas das minorias e grupos marginalizados.

Neste sentido, essa entrevista visa apresentar um diálogo com uma historiadora pública, negra, professora universitária, com algumas considerações a partir de sua experiência no ensino superior sobre as barreiras que se impõem no enfrentamento do racismo e da intolerância religiosa e sobre possibilidades de proposição para a mudança do nosso cenário. A iniciativa é fruto de uma sugestão feita pela professora Viviane Trindade Borges, que ao ministrar a disciplina História Pública na Universidade do Estado de Santa Catarina (UDESC) no programa de pós-graduação, estabeleceu como desafio publicar uma entrevista um tema ligado as pesquisas individuais. O tema do racismo e da tolerância me toca profundamente, dado o fato de que também sou um indivíduo negro.

Essa entrevista foi realizada no dia 28/04/2022, tendo aproximadamente 1 hora e meia de gravação, sendo transcrita e editada.  A professora Juliana Teixeira foi minha professora em 2018, em uma disciplina sobre a temática da Escravidão no Século XIX na Universidade Federal do Rio Grande do Norte. Depois do momento em que a conheci, me senti profundamente tocado por suas palavras. Espero que essa entrevista possa trazer informações relevantes e contribuir com a reflexão sobre a temática desses temas tão sensíveis e necessários.