bluuebunny/crossref_metadata_2025 huggingface dataset:
Mamíferos en áreas de monitoreo y compensación asociadas a complejos mineros al nororiente de Colombia
Authors: Racero-Casarrubia Javier , Calvano-Zúñiga Armando , Tortello-Ditta María , Tellez-Wenster Luis , Viloria-Lagares Thomas , Reyes Cogollo Katia , Chacón Pacheco Julio J.
Published: February 2024

Las áreas de bosque seco tropical remanentes en el corredor minero del Cesar son vitales en la conservación de la biodiversidad de mamíferos de la región Caribe colombiana. Se presenta la lista de mamíferos y se analiza la diversidad taxonómica por coberturas asociadas a tres proyectos mineros de la multinacional Drummond Ltd., ubicada en el departamento del Cesar. Se registraron 66 especies de 30 familias y 9 órdenes de mamíferos, donde Chiroptera (24 spp.), Rodentia (16 spp.) y Carnivora (10 spp.) presentan el mayor número de especies. Se destaca la presencia de cuatro especies endémicas para Colombia, Aotus griseimembra, Cebus versicolor, Pattonomys semivillosus y Proechimys chrysaeolus. Se encontró presencia de mamíferos en 12 coberturas, particularmente arbustal, bosques de galería y herbazal (43 spp.). Estos resultados resaltan la importancia de las acciones de compensación y conservación de los proyectos mineros, generalmente asociados a ecosistemas nativos del bosque seco tropical. Estas áreas son de gran importancia en el mantenimiento y protección de los mamíferos silvestres, al estar embebidas en una matriz regional de potreros y pastos limpios.
Self-talk bagi Kesehatan Mental Mahasiswa di Perguruan Tinggi Islam Kota Bengkulu
Authors: Rahayu* Puspa Yuni , Haryati Asti
Published: February 2024

Penelitian ini bertujuan untuk mengetahui dampak self talk bagi kesehatan mental mahasiswa Perguruan Tinggi Islam Kota Bengkulu. Penelitian ini menggunakan metode kualitatif dengan jenis penelitian fenomenologi. Lokasi penelitian dilakukan di UIN Fatmawati Sukarno Bengkulu. Pemilihan subjek dilakukan dengan teknik purposive sampling. Peneliti menggunakan observasi, wawancara, dan dokumentasi untuk mengumpulkan data, dan teori REBT (Rational Emotive Behaviour Therapy) sebagai landasan penyusunan instrumen penelitian. Data yang didapatkan dianalisis menggunakan analisis Miles dan Huberman. Hasil penelitian mendapati bahwa self talk yang mengarah pada hal negatif dapat berpengaruh negatif pula pada subjek, pemikiran irasional akibat self talk negatif dapat membuat subjek menjadi stres dan cemas hingga menimbulkan masalah pada kesehatan mental. Jika hal ini sering terjadi, subjek akan menyalahkan diri sendiri atas apa yang terjadi. Hal ini biasanya terjadi karena kondisi subjek sedang menghadapi banyak masalah. Begitupun sebaliknya, ketika kondisi suasana hati sedang baik, maka pemikiran subjek akan sangat positif dan bersemangat dalam menjalani aktivitas sehingga kesehatan mental dari self talk positif itu menjadi terintegrasi. Individu akan memandang segala sesuatu secara positif dan dapat mengurangi kecemasan yang dialami subjek. Kesimpulannya adalah melalui self talk yang negatif, didapati bahwa subjek lebih cenderung berpikir secara irasional hingga menyebabkan stres dan cemas akibat permasalahan yang dihadapi hingga berdampak pada kesehatan mental subjek, dimana tidak terintegrasinya fungsi-fungsi jiwa dalam dirinya. Namun, self talk juga mampu menjadi alternatif bagi kesehatan mental dalam menurunkan stres yang dialami subjek. Dengan self talk yang positif, dapat menyadarkan subjek untuk memberi afirmasi positif pada dirinya sendiri.
Peran Guru Bimbingan dan Konseling dalam Mengatasi Perilaku Agresif melalui Konseling Individual
Authors: Krismonia Timi
Published: February 2024

Penelitian ini bertujuan untuk guru BK agar dapat memahami akar masalah yang mendasari perilaku agresif siswa secara lebih mendalam. Melalui sesi konseling individual, guru BK dapat memberikan ruang yang aman bagi siswa untuk berbicara tentang pengalaman dan perasaan mereka. Penelitian ini menggunakan metode deskriptif kualitatif dengan penentuan informan melalui Teknik purposive sampling, yaitu wali kelas dan guru bimbingan konseling sebagai subjek dan objek. Instrumen penelitian mencakup wawancara, observasi, dan dokumentasi. Pengolahan data menggunakan triangulasi data. Perilaku agresif diartikan sebagai tindakan yang dapat menyakiti hati dan merugikan diri sendiri serta orang lain. Konseling ini difokuskan pada pengembangan pemahaman diri, pengelolaan emosi, dan strategi penyelesaian konflik. Hasil penelitian menunjukkan bahwa 1)  perilaku agresif pada peserta didik melibatkan faktor kepribadian kuat dan pandangan bahwa tindakan tersebut wajar, juga kurangnya pengawasan, perhatian, dan kasih sayang dari orang tua. 2) Respon terhadap perilaku agresif melibatkan peran penting guru bimbingan dan konseling, termasuk layanan konseling individu sebagai salah satu strategi penanganan.
Diseño de un sistema de control interno basado en Business Process Management para obtener la reducción de merma en el proceso productivo y analizar su impacto en la rentabilidad de la empresa JC Productos Alimenticios SAC
Authors:   , Montalban Llocya José Carlos
Published: February 2024

JC Productos Alimenticios SAC es una empresa que produce y distribuye alimentos de repostería y actualmente no cuenta con una herramienta de monitoreo para darle un seguimiento a los procesos de producción. Por esta razón, el costo se ha reducido excesivamente en la fabricación del producto, lo que ha causado muchas pérdidas a la empresa en términos de análisis de costos e impacta en la rentabilidad. Las pymes usualmente no adquieren este tipo de proyecto, aunque si se empleara esta solución se mitigarían muchos riesgos como fraudes, robos y costos más excedidos de lo normal. Se desea aplicar esta solución para aumentar la rentabilidad en el sentido de evitar pérdidas innecesarias y reducir el costo de ventas del producto, porque esta alternativa mapeará y va a optimizar procesos en el área de producción. No afecta la calidad del producto, que es la propuesta de valor de la organización.
Diagnóstico de las actividades antrópicas en humedales de la Costa Central del Perú
Authors:   , Castro Nuñez Ninoska Xiomara
Published: February 2024

Los humedales costeros son ecosistemas de mucha importancia para el desarrollo de la vida humana y de todos los seres vivos del mundo, esto se debe a los innumerables servicios ecosistémicos que proporcionan. Sin embargo, estos ecosistemas se encuentran amenazados, debido principalmente por las diversas actividades realizadas por el hombre principalmente la agricultura, la ganadería, la extracción de recursos vegetales, incendios y la urbanización. Para dar a conocer las principales amenazas presentes en los humedales de la costa central, se realiza un análisis documental de las principales actividades antrópicas que afectan a seis humedales costeros (Humedal de Puerto Viejo, Las Albuferas de Medio Mundo, Humedal de Ventanilla, Humedal de Santa Rosa, Los Pantanos de Villa y El Humedal El Paraíso), donde se identificó a la urbanización como la actividad antrópica que mayor impacto ha generado en los humedales estudiados.
NER Sequence Embedding of Unified Medical Corpora to Incorporate Semantic Intelligence in Big Data Healthcare Diagnostics
Authors: Shafqat Sarah , Anwar Zahid , Javaid Qaisar , Ahmad Hafiz Farooq
Published: February 2024

Clinical diagnosis is a challenging task for which high expertise is required at the doctors’ end. It is recognized that technology integration with the clinical domain would facilitate the diagnostic process. A semantic understanding of the medical domain and clinical context is needed to make intelligent analytics. These analytics need to learn the medical context for different purposes of diagnosing and treating patients. Traditional diagnoses are made through phenotype features from patients’ profiles. It is also a known fact that diabetes mellitus (DM) is widely affecting the population and is a chronic disease that requires timely diagnosis. The motivation for this research comes from the gap found in discovering the common ground for medical context learning in analytics to diagnose DM and its comorbidity diseases. Therefore, a unified medical knowledge base is found significantly important to
learning contextual Named Entity Recognition (NER) embedding for semantic intelligence. Researchers in this paper have searched for possible solutions for medical context learning and found that unified corpora tagged with medical terms were missing to train the analytics for diagnoses of DM and its
comorbidities. Hence, effort was put into collecting endocrine diagnostic electronic health records (EHR) corpora for clinical purposes that are manually labeled with ICD-10-CM international coding scheme to minimise chances of error. International Codes for Diseases (ICD) by the World Health Organization (WHO) is a known schema to represent medical codes for diagnoses. The complete endocrine EHR corpora make DM-Comorbid-EHR-ICD-10 Corpora. DM-Comorbid-EHR-ICD-10 Corpora is tagged for understanding the medical context with uniformity. In this research experiments were run with different NER sequence embedding approaches using advanced ML integrated with NLP techniques. These experiments used common frameworks like; Spacy, Flair, and TensorFlow, Keras. These experiments led to yield albeit label sets in the form of (instance, label) pair for diagnoses that were tagged with the Sequential() model found in TensorFlow.Keras using Bi-LSTM and dense layers.
The maximum accuracy achieved was 0.9 for Corpus14407_DM_pts_33185 with a maximum number of diagnostic features taken as input. The sequential DNN NER model diagnostic accuracy increased as the size of the corpus grew from 100 to 14407 DM patients suffering from comorbidity diseases. The
significance of clinical notes and practitioner comments available as free text is clearly seen in the diagnostic accuracy.
A pragmatic randomized controlled trial of a telemedicine self-management intervention for adults with long COVID: The COPE study protocol
Authors: Knowles Lindsey Major , Grewal Mehr , Drever Sydney , Hoffman Jeanne , Friedly Janna , Herring Tracy
Published: February 2024

Background: Long COVID is a serious public health concern due to its high prevalence and potentially debilitating symptoms. Symptoms may include fatigue, dyspnea, cognitive problems, insomnia, anxiety and depression. There is currently no cure for long COVID and the average length of recovery and proportion of patients who fully recover are still unknown. Subsequently, there is a critical need to improve function. Research in other chronic conditions suggests that psychosocial self-management interventions reduce symptom severity and interference with functioning. We describe the design of our study to examine the feasibility, acceptability, appropriateness and preliminary efficacy of an intervention designed to improve symptom management and coping in adults with long COVID.
Methods: This pilot trial (N=50) uses a pragmatic, randomized 2-group parallel design set within the MASKED Post-COVID Rehabilitation and Recovery Clinic. The self-management intervention is a 6-week, group-based telemedicine intervention that teaches evidence-based strategies to manage common symptoms and improve stress management as well as communication and self-advocacy. The comparator is a wait-list control. Participants complete self-report measures of the primary and secondary outcomes at baseline and post-treatment/wait-list. Primary outcomes include intervention feasibility, acceptability, and appropriateness. Secondary outcomes include Patient-Reported Outcomes Measurement Information System measures of fatigue, sleep disturbance, cognitive difficulties, self-efficacy, pain interference, depression and anxiety symptoms as well as a measure of long COVID symptoms and impression of change. At post-intervention, intervention participants also complete a qualitative interview to inform intervention refinement. Quantitative data will be examined using descriptive and statistical analysis including ttests and chi-square tests to compare the intervention and wait-list groups on secondary outcomes. Qualitative data will be analyzed using the rigorous and accelerated data reduction technique.
Discussion: Results of this pilot randomized controlled trial will characterize the feasibility, acceptability, and appropriateness of the self-management intervention and inform intervention refinement necessary prior to further testing. Long COVID is a public health concern and rehabilitation approaches that equip patients to manage symptoms may improve patient function and quality of life and reduce burden on the health system.
Clinical Trial Registration No.: NCT05658536.
Date of Trial Registration: December 16, 2022
The Primary Cilium and its Hedgehog Signaling in Nociceptors
Contribute to Inflammatory and Neuropathic Pain
Authors: Tucker Kerry , Fitzsimons Lindsey , Staurengo-Ferrari Larissa , Bogen Oliver , Araldi Dioneia , Bonet Ivan , Jordan Ethan , Levine Jon
Published: February 2024

The primary cilium, a 1-3 μm long hair-like structure protruding from the surface of almost all cells in the vertebrate body, is critical for neuronal development and also functions in the adult. As the migratory neural crest settles into dorsal root ganglia (DRG) sensory neurons elaborate a single primary cilium at their soma that is maintained into adult stages. While it is not known if primary cilia are expressed in nociceptors, or their potential function in the mature DRG neuron, recent studies have shown a role for Hedgehog, whose signaling demonstrates a dependence on primary cilia, in nociceptor sensitization. Here we report the expression of primary cilia in rat and mouse nociceptors, where they modulate mechanical nociceptive threshold, and contribute to inflammatory and neuropathic pain. When siRNA targeting Ift88, a primary cilium-specific intra-flagellar transport (IFT) protein required for ciliary integrity, was administered by intrathecal injection, in the rat, it resulted in loss of Ift88 mRNA in DRG, and primary cilia in neuronal cell bodies, which was associated with an increase in mechanical nociceptive threshold, and abrogation of hyperalgesia induced by the pronociceptive inflammatory mediator, prostaglandin E2, and painful peripheral neuropathy induced by a neurotoxic chemotherapy drug, paclitaxel. To provide further support for the role of the primary cilium in nociceptor function we also administered siRNA for another IFT protein, Ift52. Ift52 siRNA results in loss of Ift52 in DRG and abrogates paclitaxel-induced painful peripheral neuropathy. Attenuation of Hedgehog-induced hyperalgesia by Ift88 knockdown supports a role for the primary cilium in the hyperalgesia induced by Hedgehog, and attenuation of paclitaxel chemotherapy-induced neuropathy (CIPN) by cyclopamine, which attenuates Hedgehog signaling, suggests a role of Hedgehog in CIPN. Our findings support a role of nociceptor primary cilia in the control of mechanical nociceptive threshold and in inflammatory and neuropathic pain, the latter, at least in part, Hedgehog dependent.
Evaluation and Comparison of the Seismic Performance of Modern Concentrically Braces in the Near-Fault Zone
Authors: Mahdavi Masoud , Hosseini SeyyedReza , Babaafjaei Abbas
Published: February 2024

Passive control is one of the most common methods to improve seismic performance of the structure. Types of concentrically braces, such as Cross, Knee, and Reverse V, are the most common systems used in steel structures. Choosing the right bracing system for the structure and increasing its efficiency will increase the performance level of the structure. The importance of the bracing system in the near-fault area is very important, considering the magnitude of the earthquake. Therefore, in the current research, 5-story steel structures with X, Knee, Inverted V and Rhombus bracing systems has been modelled with Sap2000 software. The steel structures were subjected to the Kobe earthquake for 10 seconds, in the near-fault area, with the modal time history dynamic analysis method. Nine seismic parameters including Story Displacement, Acceleration, Modal Damping Energy, Base Shear, Shear Force in Beam, Bending Moment in Beam, Shear Force in Column and Axial Force in Column were investigated. The results showed that the X bracing system has the best performance in all parameters, except for axial and shear force in the column. Also, the KBF brace has the weakest performance in all parameters. The average value of the nine parameters in the superior bracing system and the weaker bracing system (KBF) is equal to 98.56%.
The Effect of Repolishing on Surface Roughness of Hybrid Ceramics after Immersion in Mouth Rinse
Authors: Younes Abeer Atef , Dessouky Radwa El
Published: February 2024

Background:
The aim of the study was evaluating the effect of repolishing on surface roughness of hybrid ceramic materials after immersion in Listerine mouth rinse.
Methods:
Ninety rectangular specimens were cut of CAD\CAM blocks of vita Enamic ,Shofu and Nacera Hybrid using specially cutting saw (Isomet 4000), each specimen was 1mm thickness,14mm length and 14mm width which confirmed with digital caliper for standardization. The specimens divided into (n = 30) for each material then surface roughness measured three times for each one. the first time was the base line measurements, the second time was after immersion in mouth rinse and the third time was after repolishing. Surface roughness measurements were done using non-contact profilometer. Specimens were photographed using USB Digital microscope with a built-in camera connected with compatible personal computer. Quantitative data were expressed as mean and standard deviation using one way analysis of variance followed by Tukey’s post hoc test.
Results:
The results of the current study showed a significant difference in the Surface roughness measurements values of the three hybrid materials in comparison to its base line values. After immersion in mouth rinse, the highest value was (0.314 ± 0.020) in Shofu HC, while after repolishing the highest value was (0.293 ± 0.016) in Nacera Hybrid.
Conclusions:
Listerine mouth rinse had the ability to increase the surface roughness of hybrid ceramic materials while re-polishing decreased the surface roughness of hybrid ceramic materials with the least effect on the high resin content materials.
An Ideal Surface Reveals How Active It Is and Why It Degrades: Atomically Flat SrTi0.5Fe0.5O3-δ Model Thin Film – a Case Study
Authors: Jung WooChul , Kim Hyunseung , Liu Jiapeng , Jang Kyuseon , Koo Bonjae , Kim Jun Kyu , Seo Jongsu , Jung Chanwon , Choi Pyuck-Pa , Ciucci Francesco
Published: February 2024

Surface cation segregation, specifically strontium (Sr), has been identified as a primary factor contributing to the performance degradation of perovskite-based oxide electrodes used in various energy conversion devices. However, due to the complex chemistry and structure of the perovskite oxide surfaces, the mechanisms behind Sr segregation and its impact on electrode activity are only partially understood. Moreover, Sr segregation already occurs during perovskite synthesis, further complicating the situation. To address this issue, this study implements a controlled approach using a model thin film system composed of atomically flat SrTi0.5Fe0.5O3-δ (STF50) with a stoichiometric surface, enabling detailed examination. The evolution of surface structure, composition, and oxygen exchange kinetics are observed as a function of temperature and time. By integrating experiments and ab initio simulations, we tackle several fundamental questions, including the evaluation of reactivity for pristine perovskite oxide surface before Sr segregation and the correlation between Sr segregation at the surface with oxygen exchange kinetics. Our comprehensive analysis clearly reveals that the decline in performance of the perovskite oxide electrodes is primarily attributed to the detrimental effects of Sr-deficiency on the surface, thereby resolving longstanding debates in the field.
WITHDRAWN: A Novel Approach for Intrusion Detection System based on Adaptable Variable Homomorphic Mac for Network Coding Enabled Small Cells
Authors: Nabi Faisal
Published: February 2024

Mobile small cells enabled by Network Coding (NC) are seen as a viable solution for 5G networks that can span the urban environment by being put up on demand anywhere and at any time across any device. Despite the advantages that NC-enabled mobile small cells provide to the 5G of mobile networks, there are some security threats (due to their vulnerabilities) owing to pollution attacks, in which intermediate nodes are used to tamper with packets in transit. Due to these polluted packets Erroneous decoding will occur at the receivers end. Detecting the polluted packets in NC enabled mobile small cell is a challenging task. The proposed An Adaptable Variable Homomorphic MAC based Intrusion Detection System (AV-H-MAC-IDS) effectively detects the polluted packets in the NC-enabled small cell environment. This model consists of different stages like region –based node clustering, node registration, homomorphic key-pair generation, and pollution attack detection. This method analyses the data of each node in the network to check whether data is altered or not. Due to region based clusters, it can effectively identify the attacker and their neighbours. Next to detection, it labels the nodes such that the malicious nodes can be isolated in subsequent data transmissions. This approach not only detects polluted packets, but also identifies the attacker's location, so that future packet pollution can be avoided up to some extent. It has been demonstrated that the proposed model outperforms both the state-of-the-art models and the more conventional models in terms of detection accuracy and time complexity.
Multi-objective optimal configuration of CCHP system containing hybrid electric-hydrogen energy storage system
Authors: Ye Jian , Dong Qiang , Yang Gelin , Yang Qiu , Zhu Peng , Wang Yingjie , Sun Liang , Wang Fuwang
Published: February 2024

Hydrogen energy storage technology, characterized by zero pollution, high efficiency and abundant sources, is an important means for the efficient utilization of solar energy. In the context of reducing energy consumption and the vigorous development of hydrogen energy storage technology, a multi-objective optimization configuration model with economy, energy consumption index and carbon emission index is proposed, which takes into account the working characteristics of the hydrogen energy storage system, and the exothermic heat release from the electrolysis tanks and fuel cells when they are working to provide the loads with an additional heat source of the CCHP system, to reduce energy consumption and carbon emission. Finally, taking a park as an example, a decomposition-based multi-objective optimization algorithm is used to solve the model so as to obtain a series of feasible alternatives, and at the same time a two-way projection method based on interval intuitionistic fuzzy information is used for decision-making to obtain the optimal solution, which verifies the feasibility of the system proposed in this paper.
Jumping to Attributions during Social Evaluation
Authors: Lau Isabel H.W. , Norman Jessica , Stothard Melanie , Carlisi Christina O. , Moutoussis Michael
Published: February 2024

Social learning is crucial for human relationships and well-being. Self-and other-evaluations are universal experiences, playing key roles in many psychiatric disorders, particularly anxiety and depression. We aimed to deepen understanding of the computational mechanisms behind social learning, which have been implicated in internalizing conditions like anxiety and depression. We built on prior work based on the Social Evaluation Learning Task (SELT) and introduced a new computational model to better explain rapid initial inferences and progressive refinement during serial social evaluations. The Social Evaluation Learning Task-Revised (SELT-R) was improved by stakeholder input, making it more engaging and suitable for adolescents. A sample of 130 adults from the UK completed the SELT-R and questionnaires assessing symptoms of depression and anxiety. ‘Classify-refine' computational models were compared with previously successful Bayesian models. The 'classify-refine' models performed better, providing insight into how people infer attributes and motives of others. Task parameters from the SELT-R were correlated with Anxiety factor scores, with higher symptoms associated with greater decision noise and higher (less flexible) policy precision. Our results replicate findings regarding the classify-refine process and set the stage for future investigations into the cognitive mechanisms of self and other evaluations in internalizing disorders.
Nursing Students, Nursing Lecturers and Practice Staff’s Understanding on an ePortfolio and the impact on students’ self-efficacy: protocol of a mixed method study. An exploratory study using a sequential explanatory mixed method design methodology to explore nursing students’ nurse lecturers, and practice staff’s understanding of an ePortfolio and explore how student’s self-efficacy could be impacted by this technology.
Authors: DEVLIN NUALA , Slade Associate Professor Christine , McCutcheon Professor Karen , Brown-Wilson Professor Christine
Published: February 2024

Background
The global pandemic required universities to identify suitable online platforms to enable the continuation of academic studies. While this change facilitated most theoretical learning, the capture of clinical practice evidence proved problematic. ePortfolio pedagogy is a responsive approach to facilitate and foster clinically based learning by integrating technology, reflection and assessment thereby supporting students’ development and preparing them for success in a rapidly evolving digital landscape. Used beyond the classroom setting, it enhances students’ digital literacy, promoting lifelong learning and professional development through a platform which facilitates communication, discussion, and collaboration.
Methods
The proposed study is an exploration of Nursing Students, Nursing Lecturers and Practice Staff’s understanding on an ePortfolio and the impact on students’ self-efficacy across one nation in the United Kingdom. The protocol describes a mixed methods sequential explanatory design methodology to explore nursing students’ nurse lecturers, and practice staff’s understanding of an ePortfolio and explore how student’s self-efficacy could be impacted by this technology. A questionnaire designed at the university using two validated instruments will be used to guide the evaluation. This will be distributed to students at two different time points and to staff only once. Quantitative data will focus on how selected internal and external variables relating to ePortfolio use serve as predicators to student understanding and achievement. Using the platform Qualtrics once collected the survey results will be downloaded into SPSS (Statistical Package for the Social Sciences) version 28 and subjected to relevant statistical analysis. Qualitative data will be collected through focus groups. Triangulation of data will be used to answer the key research questions on ePortfolio technology as a pedagogy.
Discussion
The protocol describes the study which will be implemented across one nation in the United Kingdom. It will evaluate how students and teachers engage with the ePortfolio and how it impacts on the delivery of the curriculum and student performance. It aims to evaluate the impact of ePortfolio technology which is poorly reported in the literature.
Registered systematic review
Does an ePortfolio used as a digital pedagogy enhance pre-registration nursing students learning of professional practice and inquiry?
https://doi.org/10.17605/OSF.IO/8CV9G (registered with Open Science Framework).
Research on Safety Condition Assessment Methodology for Single Tower Steel Box Girder Suspension Bridges Over The Sea Based on Improved AHP-Fuzzy Comprehensive Evaluation
Authors: Su Huifeng , Guo Cheng , Wang Ziyi , Han Tao , Kamanda David Bonfils , Su Fengzhao , Shang Liuhong
Published: February 2024

In order to propose a reliable method for assessing the safety condition for single-tower steel box girder Suspension bridges over the sea, a condition monitoring system is established by installing sensors on the bridge structure. This system collects monitoring data on cable forces, bridge strains, displacements and other parameters that affect the safety condition of the bridge. Furthermore, an improved Analytic Hierarchy Process (AHP) algorithm is developed by integrating a hybrid triangular fuzzy number logic structure. This improvement, coupled with comprehensive fuzzy evaluation methods, improves the consistency, weight determination, and security evaluation capabilities of the AHP algorithm. In addition, a case study will be conducted on the 2nd Channel Bridge to build the health monitoring system and evaluate the safety status of the bridge. The implemented health monitoring system and assessment of the overall safety condition of the bridge have shown positive results in practical engineering applications and provided a basis for decision-making in bridge maintenance departments. This project confirms that the research results can provide a reliable method for assessing the security status for relevant areas.
Graphsene: a new porous two-dimensional carbon-based material with anisotropic behavior in electronic and mechanical properties and highly efficient ORR electrocatalytic activity
Authors: Hosseini Mohammadreza , Soleimani Maryam , Shojaei Fazel , Pourfath Mahdi
Published: February 2024

Graphene allotropes featuring diverse carbon arrangements have substantial attention due to their unique properties and desired chemical activity. This study introduces a novel two-dimensional carbon-based material, termed Graphsene (GrS), on a theoretical basis. GrS is composed of tetra-, penta-, and dodeca-carbon rings. Formation energy calculations reveal that GrS exhibits superior structural stability compared to synthesized graphene allotropes, including the graphyne and graphdiyne families. Phonon dispersions suggest that the proposed nanosheet is dynamically stable and this material has a relatively small thermal conductivity. All calculated GrS elastic constants satisfy Born criteria, ensuring the mechanical stability of this carbonaceous monolayer. Ab-initio molecular dynamic simulations confirm that GrS retains its original structure at 300K. HSE06 calculations predict a narrow electronic bandgap of 20 meV. A highly anisotropic Dirac-like cone was found in the electronic band structure of GrS which is attributed to the intrinsic structural anisotropy of the nanosheet along armchair and zigzag. Notably, it is predicted that the studied nanosheet exhibits superior catalytic performance for the oxygen reduction reaction (ORR), showcasing a pronounced preference for the four-electron reduction pathway selectivity under both acidic and alkaline conditions. This work presents a promising avenue for the development of metal-free catalyst materials for clean energy production.
BP artificial neural network model to predict the compressive and flexural properties of UHPC containing coarse aggregates: Development and parametric analysis
Authors: Li Ling , Dong Xuan , Cheng Donghui
Published: February 2024

Ultra-high performance concrete with coarse aggregates (UHPC-CA) has the advantages of high strength, strong shrinkage resistance and lower production cost, presenting a broad application prospect in the civil engineering construction. In view of the difficulty in establishing a mathematical model to accurately predict the mechanical properties of UHPC-CA, the back-propagation artificial neural network (BP-ANN) method is used to fully consider the various influential factors of the compressive strength (CS) and flexural strength (FS) of UHPC-CA in this paper. By taking the content of cement (C), silica fume (SF), slag, fly ash (FA), coarse aggregate (CA), steel fiber, water-binder ratio (w/b), sand rate (SR), cement type (CT), and curing method (CM) as input variables and the CS and FS as output objective, the BP-ANN model with three layers has been well-trained, validated and tested with 193 experimental data in the published literatures. The prediction accuracy of BP-ANN model has been evaluated by the evaluating indicators. A parametric study for the various influential factors on the CS and FS of UHPC-CA was conducted by the BP-ANN model and the corresponding influential mechanisms were analyzed. Finally, the inclusion levels for the CA, steel fiber, and the dimensionless parameters of w/b and sand rate were recommended to obtain the optimal strength of UHPC-CA.
5 days in dry immersion disturb iron metabolism in males and females: results from the ESA VIVALDI and VIVALDI2 studies
Authors: Derbré Frédéric , Horeau Mathieu , Navasiolava Nastassia , Ombergen Angelique Van , Custaud Marc-Antoine , Robin Adrien , Ropert Martine , Antunes Ines , Bareille Marie-Pierre , de Villemeur Rebecca Billette , Gauquelin-Koch Guillemette , Loréal Olivier
Published: February 2024

Iron is essential for cell respiration, muscle metabolism and oxygen transport. Recent researches have demonstrated that simulated microgravity rapidly affects iron metabolism in males. However, its impact in females remains unclear. This study aims to compare iron metabolism alteration in both sexes exposed to 5 days of dry immersion. Our findings demonstrate that females, similarly to males, experience increased iron availability and elevated serum hepcidin levels, indicative of iron misdistribution.
Pressure-Induced Split of the Density Wave Transitions in La3Ni2O7-δ
Authors: Khasanov Rustem , Hicken Thomas , Gawryluk Dariusz , Bötzel Steffen , Lechermann Frank , Eremin Ilya , Luetkens Hubertus , Guguchia Zurab , Sorel Loic
Published: February 2024

The unveiling of superconductivity in La3Ni2O7-δ under pressure, following the suppression of a high-temperature density wave (DW) state, has attracted considerable attention. Notably, the nature of this competing DW order remains elusive, presenting a crucial question that demands further investigation. Here, we employ the muon-spin rotation/relaxation (μSR) technique combined with dipole-field numerical analysis to probe the magnetic response of La3Ni2O7-δ as a function of hydrostatic pressure. At ambient pressure, μSR experiments reveal commensurate static magnetic order below TN ∼ 151K. The comparison of the observed internal magnetic fields with dipole-field calculations reveals the magnetic structure's compatibility with a stripe-type arrangement of Ni moments (∼ 0.3-0.7μB), characterized by alternating lines of magnetic moments and non-magnetic stripes. Experiments under pressure (up to ∼ 2.3 GPa) demonstrate an increase of the magnetic ordering temperature at a rate dTN/dp ∼ 2.8 K/GPa. This trend is opposite in sign and significantly smaller in magnitude compared to the changes observed in the DW order of unknown origin reported by Wang et al. [arXiv:2309.17378]. Our findings reveal that the ground state of the La3Ni2O7-δ system is characterized by the coexistence of two distinct orders — the spin density wave and, most likely, charge density wave — with a notable pressure-induced separation between them.
Strategic Honeypot Allocation in Dynamic Networks: A Game-Theoretic Approach for Enhanced Cybersecurity
Authors: Sayed Md Abu , Hemida Ahmed , Kiekintveld Christopher , Kamhoua Charles
Published: February 2024

Honeypots play a crucial role in implementing various cyber deception techniques as they can mislead attackers and divert them away from valuable assets. The topology of tactical networks changes over time due to the topographical environment and node mobility. An impactful strategic placement of honeypots in tactical networks should essentially consider not only network aspects but also attackers' preferences. To this end, we propose a game-theoretic approach that models an attack-defense scenario and develops an optimal honeypot allocation strategy for the defender. Our approach takes into consideration the changes in network connectivity and the specific features and criticality of different nodes. In particular, we introduce a two-player dynamic game model that explicitly incorporates the future state evolution resulting from changes in connectivity. The defender's objective is twofold: to maximize the likelihood of the attacker hitting a honeypot and to minimize the cost associated with deception in terms of the reconfiguration cost of honeypot re-allocation due to mobility. We present an iterative algorithm to find Nash equilibrium strategies. Unfortunately, this class of games suffers from the curse of dimensionality due to the size of the large state space. Therefore, we evaluate the scalability of our algorithm and provide a compact state space that shows a significant reduction in terms of runtime. Finally, we relax the assumption that the defender has full up-to-date knowledge of the network topology. We present a sensitivity-analysis-based approach to quantify the impact of imperfect information in terms of the defender reward. We validate our approach numerically via extensive simulations, demonstrating that our game model successfully enhances network security and is more scalable.
Study of SOFC Anode Carbon Deposition and Hydrogen Adsorption to Cell performance by Molecular Simulation
Authors: Lai Hsin-Yi , Cheng Ding-Yi , Chan Yen-Hsin
Published: February 2024

This study delves into the mechanism of hydrogen adsorption and the impact of anode carbon deposition on the performance of solid oxide fuel cells (SOFCs). As a result, this article focuses on investigating methods to mitigate the adverse effects of carbon deposition in SOFCs through the utilization of molecular simulation techniques. Additionally, the article aims to explore the correlation between the hydrogen adsorption mechanism and cell performance, with the ultimate goal of enhancing SOFC efficiency. To accomplish these objectives, molecular simulations are employed to elucidate the reaction mechanism of carbon adsorption on the anode. This analysis also involves evaluating changes in diffusion coefficients under varying fuel mixtures and operating temperature. The findings reveal a noteworthy enhancement in the diffusion coefficient of mixed gases within the Au-doped Ni catalyst, showing an improvement of up to 45.46% at 973K. Furthermore, the electrical power generated by mixed gases in the Au-doped Ni catalyst at 973K demonstrates an increase of up to 12.06%.
Distinct roles for LTalpha3 and LTalpha1beta2 produced by B cells contribute to their multi-faceted impact on ileitis
Authors: Randolph Gwendalyn , Erlich Emma , Czepielewski Rafael , Field Rachael , Dunning Taylor , Saleh Leila , Hoofnagle Mark , Tumanov Alexei , Guilak Farshid , Brestoff Jonathan
Published: February 2024

B lymphocytes may facilitate chronic inflammation through antibody production or secretion of cytokines, including lymphotoxin (LT)-a1b2 associated with development of lymphoid tissue. Tertiary lymphoid structures (TLS) characterize human and murine ileitis by suppressing outflow from the ileum. Here, we show that B cell-derived secretory IgA protected against ileal inflammation, whereas B cell-derived LTa guarded against ileitis-associated loss of body mass. We initially hypothesized this protection resulted from formation of TLS that suppressed lymphatic outflow and thereby restrained systemic spread of inflammatory signals, but B cell-selective deletion of LTb did not exacerbate weight loss, despite eliminating TLS. Instead, weight loss driven by the cachectic cytokine TNF was exacerbated when LTa3, another ligand for TNF receptors, was selectively neutralized. Thus, B cells’ multi-faceted impact on ileitis includes generating secretory IgA, expressing LTa1b2 to drive formation of TLS, and producing LTa3 for protecting against weight loss in the presence of TNF.
Number sequences for creating magic squares and applies Franklin’s magic square model to container stowage planning
Authors: Phan Khái , Phan Phú
Published: February 2024

The article approach is the introduces the existence of number sequences on the set of real numbers that also create magic squares. Presents the Franklin’s magic square construction method and how to apply it to container stowage planning.
Then state the results obtained. Magic squares even and odd are build from number sequences detected. For the first time, the Franklin magic rectangle was build on the basic of the 4x4 magic square and described many of its interesting properties. Numerical experiment applying the Franklin’s magic square model to stowage container planning, the weight of the goods is evenly distributed on the ship, ensuring the stability of the container ship.
Finally discuss relevant issues and draw conclusions. Because this is a numerical experimental model, it only analyze the difference in container stowage planning between two models: the application of the Franklin’s magic square and the current linear programming problem model, but does not evaluate the advantages and disadvantages of the two methods. State some highlights of the new method, solve multiple needs of container stowage at the same time so it is very feasible. Need more extensive research with actual data in the future.
Graphene-based tunable high-sensitivity metasurface refractive index sensor
Authors: Li Cong , Wu Qiannan
Published: February 2024

A theoretical investigation and simulation of a terahertz metasurface refractive index sensor composed of graphene-metal is presented in this article. The analysis and evaluation of the reflector's performance is conducted through the implementation of the frequency-domain finite-difference method. The transmission and reflection spectra are analyzed in order to identify the characteristic dimensions that can enhance both sensitivity and reflectivity by optimizing the material's thickness, cycle duration, and width of the etching structure. The findings indicate that the sensor exhibits a quality factor of 8.4 and a maximal refractive index sensitivity of 1.48 THz/RIU within the operating frequency range of 0.1-2.0 THz. These values are three times greater than those of the conventional sensor. The design of this refractive index sensor has the potential to revolutionize bioassays pertaining to the quantification of proteins, viruses, cancer cells, and their markers.
Insecticide resistance in Malaria vectors: Implications for control strategies in northern health districts of Cote d’Ivoire
Authors: BÉKÉ Obo Armel-Hermann , Edi Ako Victorien Constant , Gbalegba N’Guessan Guy Constant , Assi Serge-Brice , Tanoh Antoine Méa , Danho Mathias , Koudou Guibehi Benjamin
Published: February 2024

Background: Long-lasting insecticidal nets (LLINs) are the primary method used by the National Malaria Control Program (NMCP) to combat malaria. However, malaria vector resistance poses a serious threat to the success of vector control measures. The objective of this study was to analyze the current state of malaria vector resistance to commonly used insecticides in northern sentinel sites of Cote d’Ivoire.
Methods: Anopheles larvae were sampled in Bouna, Korhogo, and Odienné. Adult females aged 2-5 days were subjected to various susceptibility tests according to the protocol recommended by the World Health Organization (WHO). Metabolic resistance was demonstrated by pre-exposure of mosquitoes to Piperonyl butoxide (PBO). Other insecticides such as Chlorfenapyr and Clothianidin were tested in anticipation of Indoor Residual Spraying (IRS) as a complementary vector control method in these areas. Anopheles gambiae s.l. complex subspecies were identified by polymerase chain reaction (PCR).
Results: Resistance to pyrethroids, the fundamental chemical for treating LLINs, was strongly confirmed in the sentinel sites. Synergist tests demonstrated an increase in the mortality rate and restored susceptibility of malaria vectors after pre-exposure to Piperonyl butoxide (PBO). Identification of resistance mechanisms showed the presence of kdr-West and Ace-1 genes. Among these genes, kdr-West was found to be the most prevalent in the Anopheles gambiae population of Bouna (96%), Korhogo (98%), and Odienne (100%).
Mosquitoes exhibited sensitivity to chlorfenapyr at a dose of 100 µg/bottle and 200 µg/bottle. However, mosquitoes showed resistance to clothianidin in each site, except for Odienné, where vectors were susceptible to this insecticide.
Conclusions: The resistance of malaria vectors to commonly used insecticides is strongly confirmed in the savanna zone of northern Côte d'Ivoire. Resistance markers in this region are heterogeneous and the intensity of resistance could vary according to the ecological context of the sites. Chlorfenapyr emerges as a promising option for IRS programs, given its efficacy and absence of resistance observed in this study. Surveillance of insecticide resistance need to be continued to guide the selection of appropriate control measures.
An imaging system of measuring molecular diffusion in the brain extracellular space
Authors: Zhang Heng , Ren Xiaokang , Wang Hui , Xu Meng , Tan Hanbo , Mao Xin , Wang Miaotian , Liu Huipo , Cao Jiangfeng , Xi Ke , Niu Tianye , Su Shaoyi , Sun Jiangtao , Yuan Yi , Han Hongbin , Xie Lide
Published: February 2024

Purpose: To develop a novel method to simultaneously obtain the structural and functional characteristics of the brain extracellular space.
Materials and Methods: Design and develop a magnetic tracing imaging analysis method compatible with impedance measurement using Michigan electrodes, synchronously obtaining brain extracellular space structural and electrical characteristic parameters. Twelve adult Sprague-Dawley rats were randomly divided into two groups: the first group was tested using traditional magnetic tracing techniques (n=6), while the second group was tested with a magnetic tracing detection system compatible with impedance measurement applied (n=6). Parameters such as diffusion coefficients, volume fraction and electrical characteristic parameters were calculated and compared. Visualisation of the tissue fluid drainage process was also conducted.
Results: The system can synchronously obtain structural and impedance characteristic parameters of extracellular molecular diffusion in the mouse brain. The comparison results show a decrease in the molecular diffusion coefficient in the extracellular gaps (t=4.748, P＜0.01) and a reduction in the diffusion rate and volume fraction of extracellular gaps (t=7.77, P＜0.01). Additionally, electrical parameters of the extracellular gaps were measured, with a conductivity of 2.006 S/m, a dielectric constant of 84.77, a calculated diffusion rate of 3.54*10-4mm2/s, and a volume fraction of 17.43%, consistent with the data obtained from the magnetic tracing method.
Conclusion: This system can simultaneously acquire the structural and functional characteristics of ECS, laying the foundation for a new method of neural regulation through the ECS pathway.