bluuebunny/crossref_metadata_2025_split huggingface dataset:
Occlusal equilibration and muscle activity in fixed versus removable mandibular implant supported overdenture
Authors: Elboraey Asmaa N. , Dehis Wessam M. , Eissa Sherihan M. , El-Hotieby Menatallah Mohamed , Abdelkader Omar K. 
Published: February 2024

Abstract
Objectives
Single denture rehabilitated patients have negative appraisals regarding oral function, mostly associated by stability and retention issues regarding mandibular prosthetics. Therefore, this study assessed patients’ occlusal equilibration, muscle activity, and oral health-related quality of life (OHRQoL) receiving milled removable or fixed mandibular implant retained prostheses.

Materials and methods
Twenty-two edentulous mandibular ridges patients were randomly distributed into two groups based on the definitive prosthesis received. Group I: Removable mandibular implant-supported overdenture, Group II: Implant retained fixed prosthesis. Occlusal equilibration was evaluated utilizing Occlusense, muscle activity via Electromyograph (EMG) at delivery, after one, and three months. The OHRQoL was evaluated by Oral Health Impact Profile questionnaire (OHIP-19) before delivery and after follow-ups. Data were collected, tabulated, and analyzed, utilizing independent t-test and One-way ANOVA followed Tukey`s post-hoc test. Significance level set at P ≤ 0.05.

Results
Groups I &II showed significant improvement in occlusal equilibration, muscle activity and OHRQoL. Group II demonstrated significantly higher improvement than group I in occlusal equilibration associated with muscle activity after 1 month, and in functional limitations domain in OHRQoL questionnaire after 3 months.

Conclusion
Implant retained mandibular prosthesis showed improvement in occlusal equilibration, muscle activity, and OHRQoL regardless of prosthesis type employed. Fixed implant-supported prosthesis revealed better outcomes than removable mandibular implant-supported overdenture concerning occlusal equilibration, muscle activity, and OHRQoL regarding functional limitations.

Clinical relevance
Implant retained mandibular prosthesis is one of best treatment options for single mandibular completely edentulous patients, as dental implants improved occlusal equilibration, muscle activity, and OHRQoL.
Auto-segmentation of Adult-Type Diffuse Gliomas: Comparison of Transfer Learning-Based Convolutional Neural Network Model vs. Radiologists
Authors: Wan Qi , Kim Jisoo , Lindsay Clifford , Chen Xin , Li Jing , Iorgulescu J. Bryan , Huang Raymond Y. , Zhang Chenxi , Reardon David , Young Geoffrey S. , Qin Lei 
Published: February 2024

AbstractSegmentation of glioma is crucial for quantitative brain tumor assessment, to guide therapeutic research and clinical management, but very time-consuming. Fully automated tools for the segmentation of multi-sequence MRI are needed. We developed and pretrained a deep learning (DL) model using publicly available datasets A (n = 210) and B (n = 369) containing FLAIR, T2WI, and contrast-enhanced (CE)-T1WI. This was then fine-tuned with our institutional dataset (n = 197) containing ADC, T2WI, and CE-T1WI, manually annotated by radiologists, and split into training (n = 100) and testing (n = 97) sets. The Dice similarity coefficient (DSC) was used to compare model outputs and manual labels. A third independent radiologist assessed segmentation quality on a semi-quantitative 5-scale score. Differences in DSC between new and recurrent gliomas, and between uni or multifocal gliomas were analyzed using the Mann–Whitney test. Semi-quantitative analyses were compared using the chi-square test. We found that there was good agreement between segmentations from the fine-tuned DL model and ground truth manual segmentations (median DSC: 0.729, std-dev: 0.134). DSC was higher for newly diagnosed (0.807) than recurrent (0.698) (p < 0.001), and higher for unifocal (0.747) than multi-focal (0.613) cases (p = 0.001). Semi-quantitative scores of DL and manual segmentation were not significantly different (mean: 3.567 vs. 3.639; 93.8% vs. 97.9% scoring ≥ 3, p = 0.107). In conclusion, the proposed transfer learning DL performed similarly to human radiologists in glioma segmentation on both structural and ADC sequences. Further improvement in segmenting challenging postoperative and multifocal glioma cases is needed.
Identifying candidate host plants for trap cropping against Drosophila suzukii in vineyards
Authors: Fragnière Anne-Laure , Bacher Sven , Kehrli Patrik 
Published: February 2024

AbstractThe spotted wing drosophila (SWD), Drosophila suzukii Matsumura (Diptera: Drosophilidae), is a serious pest in vineyards where it is difficult to control. Trap cropping, which involves manipulating the host plant composition in the crop vicinity to lure the pest away from grapes and towards more attractive host plant fruits, might be an interesting but so far neglected control approach to limit SWD egg-laying in grapes. An ideal trap crop should be more attractive to the pest than the actual crop and should ideally restrict pest development. We determined the attractiveness of fruits of 60 plant species for SWD egg-laying and their suitability for larval development in laboratory assays. Compared to grapes, 16 of the 60 fruits were strongly preferred by SWD females for egg-laying and additionally inhibited the development of SWD larvae into adults. Host preference was strongly influenced by the hardness of the fruit skin, and larval development was marginally affected by the acidity of fruits. However, none of the measured fruit traits had a significant effect on the emergence success of SWD. All 16 candidate trap crop plants should be further tested for their potential to reduce SWD infestation of grapes. We provide practical advice on the next steps to be taken for implementing a successful trap cropping strategy against SWD in commercial vineyards.
Combining fuzzy MCDM with Kano model and FMEA: a novel 3-phase MCDM method for reliable assessment
Authors: Shao Jia , Zhong Shuya , Tian Mi , Liu Yuanyuan 
Published: February 2024

AbstractIn the circular economy era, this study addresses sustainable business management for high-investment and long-life cycle projects, where accurate and reliable assessments are crucial to ensuring successful outcomes. The objective is to elevate the reliability of assessments by introducing a novel decision-making method that, for the first time, integrates time-based satisfaction and risk factors simultaneously. We propose a 3-phase multi-criteria decision-making (MCDM) method, which combines fuzzy MCDM comprising fuzzy analytic hierarchy process and fuzzy technique for order preference by similarity to ideal situation (TOPSIS), Kano model, and failure mode and effects analysis (FMEA) techniques, to handle reliable assessments effectively. Our method is distinct in its incorporation of time-based satisfaction weights derived from Kano model, emphasising decision-makers’ criteria preferences in short, medium, and long terms. Furthermore, we introduce risk-discounted weights by using FMEA to tune criteria scores. The method is validated via a numerical example case, assessing and selecting the most appropriate hydrogen storage method for lightweight vehicles. The results suggest that cryo-compressed hydrogen tank with 250–350 bar and at cryogenic temperature is the most suitable storage method. Health & safety with a weight of 0.5318 emerges as the most important main criterion, and permeation & leakage with a weight of 0.4008 is the most important sub-criterion. To bridge the gap between theoretical research and practical application, we transform the new method into a user-friendly web application with graphical user interface (GUI). End-users can conduct reliable assessments and foster sustainable business management through informed decision-making.
Thermal Conductivity Switching in Pd-Catalyzed Gd and GdH2 Films Upon Gasochromic Hydrogenation and Dehydrogenation
Authors: Hirata Riko , Yamashita Yuichiro , Yagi Takashi , Kashiwagi Makoto , Takeya Satoshi , Oguchi Yuki , Iesari Fabio , Okajima Toshihiro , Taketoshi Naoyuki , Shigesato Yuzo 
Published: February 2024

AbstractThermal conductivity switching in Pd-catalyzed Gd hydride films was investigated using in situ analyses of electrical, optical, structural, and thermophysical properties upon gasochromic hydrogenation/dehydrogenation at room temperature. These reactions allow the films to reversibly switch between the metallic (GdH2) phase in the hydrogenated state and the semiconductor (GdH3) phase in the dehydrogenated state. We fabricated three-layered films comprising Pd (5 nm)/Gd or GdH2 (300 nm)/Mo (100 nm) using DC magnetron sputtering using Pd, Gd, and Mo targets, respectively, on unheated synthetic quartz substrates. Ar or mixture of Ar + H2 (H2: 5 % to 50 %) gases were used for the deposition of the Gd or GdH2 films, respectively. The thermal conductivities of the Gd or GdH2 films were analyzed using in situ rear-heating/rear-detection type time-domain picosecond pulsed light heating thermoreflectance measurements by employing a gas mixture of N2/Ar and H2 (H2: 3 %) at 1 atm, which is below the explosive limit for hydrogen. The thermal conductivities of Gd and GdH2 films were measured for one and two hydro-/dehydrogenation cycles, respectively. The thermal switching ratios of the ON state thermal conductivity to the OFF state thermal conductivity were 6.4 and 2.9–5.4 for the Gd film and the GdH2 (H2: 5 %–50 %) films, respectively. The thermal conductivity of the Gd hydrides films changed along with those estimated from the Wiedemann–Franz Law and electrical conductivities.
Potential Utilization of Iron Oxidation Reaction Heat for the Generation of SiO2–FeO System Melts
Authors: Endo Rie , Mitsui Kimia , Hashiyama Shota , Miyazaki Leo , Watanabe Takashi , Ueda Mitsutoshi , Hayashi Miyuki , Tanei Hiroshi , Susa Masahiro 
Published: February 2024

AbstractSilicon-containing steel forms an oxide layer within the scale during hot rolling. This layer comprising oxides such as Fe2SiO4 and FeO adversely affect the surface quality of steel owing to strong adhesion between Fe2SiO4 and the steel substrate. A method to melt this silicon-containing oxide layer through the oxidation reaction of iron plates by applying SiO2 powder to the surface is proposed. The aim of this study is to understand the reaction mechanism and identify the optimal conditions for this process. Application of SiO2 coating to the surface of an iron plate at 6.67 × 10–4 g·mm−2 and maintaining the plate at 1423 K, just below the eutectic temperature of Fe2SiO4–FeO system (1450 K), cause the surface oxide scale to melt when exposed to oxidation in an atmospheric environment. Notably, reducing the electric furnace temperature hinders the melting process, whereas excessive application of SiO2 hampers the formation of sufficient liquid phase. On the surface of the iron plate, primarily FeO and Fe2SiO4 are formed. Heat generation is mainly due to the formation of FeO, which leads to the rapid generation of Fe2SiO4. Eutectic reactions within SiO2–Fe2SiO4 or FeO–Fe2SiO4 systems drive the formation of the liquid phase. Once the liquid phase was established, rapid diffusion of iron ions within it resulted in rapid iron oxidation and additional heat generation. Ultimately, a liquid phase in equilibrium with FeO is formed across the entire surface of the iron plate.
Making Sense of AI Benefits: A Mixed-method Study in Canadian Public Administration
Authors: Madan Rohit , Ashok Mona 
Published: February 2024

AbstractPublic administrators receive conflicting signals on the transformative benefits of Artificial Intelligence (AI) and the counternarratives of AI’s ethical impacts on society and democracy. Against this backdrop, this paper explores the factors that affect the sensemaking of AI benefits in Canadian public administration. A mixed-method research design using PLS-SEM (n = 272) and interviews (n = 38) tests and explains the effect of institutional and consultant pressures on the perceived benefits of AI use. The quantitative study shows only service coercive pressures have a significant effect on perceived benefits of AI use and consultant pressures are significant in generating all institutional pressures. The qualitative study explains the results and highlights the underlying mechanisms. The key conclusion is that in the earlier stages of AI adoption, demand pull is the main driver rather than technology push. A processual sensemaking model is developed extending the theory on institutions and sensemaking. And several managerial implications are discussed.
Novel Mn0.5Zn0.5Al0.1MgxLixFe(1.9-x)O4 nanoferrites: synthesis, theoretical cation distribution, and improving their dielectric properties
Authors: Rady K. E. , Farg S. M. , Kabel Shehab 
Published: February 2024

AbstractThe effect of Mg2+–Li1+ ions in modifying the structural, electrical, and magnetic characteristics of nanocrystalline Mn–Al–Zn ferrites was examined experimentally and theoretically in the current study. The chemical co-precipitation method was used to create the investigated ferrite samples, which have the chemical formula (Mn0.5Zn0.5 Al0.1Mgx Lix Fe(1.9-x)O4) and concentration range of the substituent (0 ≤ x ≤ 0.2). The cation distribution of the investigated system was assumed and confirmed. Furthermore, the activation energy, AC resistivity, dielectric loss tangent, and dielectric constant were investigated in terms of their compositional dependence. The final results showed that the increasing of Mg2+–Li1+ concentration enhanced the physical and dielectric properties of the prepared samples. The experimental findings show also that as temperature rises, ε′, tan δ, and σ all increase but they all decrease as Mg2+–Li1+ content increases. With increasing Mg2+–Li1+ concentration, the AC resistivity of the prepared samples also continuously increased, resulting in the sample with x = 0.2 having high resistivity, which can be used in specific technical applications such as transformer cores.
NAVS: A Neural Attention-Based Visual SLAM for Autonomous Navigation in Unknown 3D Environments
Authors: Wu Yu , Chen Niansheng , Fan Guangyu , Yang Dingyu , Rao Lei , Cheng Songlin , Song Xiaoyong , Ma Yiping 
Published: February 2024

AbstractNavigation in unknown 3D environments aims to progressively find an efficient path to a given target goal in unseen scenarios. A challenge is how to explore the navigation quickly and effectively. An end-to-end learning approach has been proposed to extract geometric shapes from RGB images, but it is not suitable for large environments due to its exhaustive exploration with exponential search space. Active Neural SLAM (ANS) presents a Neural SLAM module to maximize the exploration coverage to tackle the active SLAM task. However, ANS still frequently visits the explored areas due to the inappropriate local target selection. In this paper, we propose a Neural Attention-based Visual SLAM (NAVS) model to explore unknown 3D environments. Spatial attention is provided to quickly identify obstacles (such as similarly colored tea table or floor). We also leverage the priority of unknown regions in the short-term goal decision to avoid frequent exploration with a channel attention. The experimental results show that our model can build a more accurate map than ANS and other baseline methods with less running time. In terms of relative coverage, NAVS achieves a 0.5$$\%$$
%
improvement over ANS in overall and a 1.1$$\%$$
%
improvement over ANS in large environments.
Highly sensitive plasmonic-grating PCF biosensor for cancer cell detection
Authors: Elmahdy Nagat A. , Hameed Mohamed Farhat O. , Obayya S. S. A. , Younis B. M. 
Published: February 2024

AbstractHighly sensitive biosensor based on D-shaped photonic crystal fiber (PCF) with plasmonic grating is introduced and analyzed. The suggested structure is tested using four different grating structures (rectangular, triangular, circular, or elliptical) on the polished surface of the D-shaped PCF. The sensing operation depends on surface plasmon resonance mechanism where the analyte refractive index (RI) is utilized to control the coupling between the core mode and surface plasmon mode via phase matching phenomenon. Rhodium is employed as a plasmonic material to induce the SPMs. The resonance (i.e., phase matching) wavelength is a function of the analyte RI. The geometrical parameters of the proposed structure are optimized using full vectorial finite element method to enhance the sensor sensitivity. The proposed biosensor can be utilized in the detection of different cancerous Basel, Breast and Cervical cells. The performance of the reported biosensor is investigated in terms of sensitivity, linear response, and fabrication tolerance. The reported biosensor has high sensitivities of 19,750 nm/RIU, 20,428 nm/RIU and 20,041 nm/RIU for the detection of Basel, Breast and Cervical cancer cells, respectively. The presented biosensor is a good candidate for biological sample detection and organic chemical sensing.
Determinants of zero-car and car-owning apartment households
Authors: De Gruyter Chris , Truong Long T. , de Jong Gerard , Foster Sarah 
Published: February 2024

AbstractWhile much research has explored the determinants of car ownership, there is little understanding of these factors in the context of apartment households, where off-street car parking provision is frequently stipulated by planning requirements and zero-car households are more evident. Drawing on a survey of apartment residents (n = 1316) in three Australian cities, this study aimed to understand the determinants of zero-car and car-owning apartment households. The data was analysed using binary and multinominal logistic regression, including random parameter modelling. A joint model of car ownership and off-street car parking supply was also developed to account for potential endogeneity between these two variables. The results highlight the significant association between car ownership and off-street car parking supply, alongside a range of socio-demographics, attitudes, perceptions, built environment and transport characteristics. An additional off-street car parking space, on average, was found to increase the odds of having 2+ cars, compared with zero cars, by around 10 times. The findings imply that reducing off-street residential car parking requirements can play a significant role in supporting lower car ownership levels among apartment households.
Emotional temperaments in advanced pregnant goats and its relationship with the feto-maternal blood flow and placentome echotexture
Authors: Samir Haney , Swelum Ayman A. , Farag Ahmed , El-Sherbiny Hossam R. 
Published: February 2024

AbstractThe current study aimed to investigate the effect of xylazine sedation (non-sedated versus sedated conditions) and animal temperament on the fetal and maternal hemodynamics during the late stage of gestation in goats. In addition, it aimed to study the concentrations of cortisol and the echotexture of the placentome. Fourteen goats were assigned into two equal groups (n = 7, each) based on the animal’s emotional temperament (calm versus nervous groups). All goats were examined for assessment of the blood flow within the fetal aorta (FA), umbilical artery (UMA), and middle uterine artery (MUA) using color-pulsed Doppler ultrasonography. Goats were exposed to light sedation using the recommended dose of xylazine (0.05 mg/Kg Bw) intramuscularly. Goats in each group were reassessed for the studied parameters after sedation. Blood samples were drawn to determine the concentrations of cortisol. Placentome echotexture pixel intensity (PXI) was evaluated using computer image analysis software. Results revealed the significant impact of the xylazine sedation on the Doppler indices of the blood flow within the measured arteries (FA, UMA, and MUA), the PXI of placentome echotexture, and cortisol concentrations. The emotional temperament of goats had significant effects on the blood flow parameters of the MUA and UMA, concentrations of cortisol, and the PXI of the placentome. The interaction effect (sedation x temperament) was noticed in the measured parameters of the UMA blood flow, fetal heart rate, and cortisol concentrations. In conclusion, xylazine sedation and emotional temperaments induced alterations in the echotexture of the placentomes as well as the hemodynamic parameters of late-stage pregnant goats without affecting the pregnancy outcomes.
Current trends in textile wastewater treatment—bibliometric review
Authors: Islam Mohammad Tajul , Al Mamun Md. Abdullah , Halim Abul Fazal Mohammad Fahad , Peila Roberta , Sanchez Ramirez Diego Omar 
Published: February 2024

AbstractA bibliometric study using 1992 to 2021 database of the Science Citation Index Expanded was carried out to identify which are the current trends in textile wastewater treatment research. The study aimed to analyze the performance of scholarly scientific communications in terms of yearly publications/citations, total citations, scientific journals, and their categories in the Web of Sciences, top institutions/countries and research trends. The annual publication of scientific articles fluctuated in the first ten years, with a steady decrease for the last twenty years. An analysis of the most common terms used in the authors’ keywords, publications’ titles, and KeyWords Plus was carried out to predict future trends and current research priorities. Adsorbent nanomaterials would be the future of wastewater treatment for decoloration of the residual dyes in the wastewater. Membranes and electrolysis are important to demineralize textile effluent for reusing wastewater. Modern filtration techniques such as ultrafiltration and nanofiltration are advanced membrane filtration applications.
What Makes People Happy with their Lives in Developing Countries? Evidence from Large-Scale Longitudinal Data on Ghana
Authors: Atta-Ankomah Richmond , Adjei-Mantey Kwame , Asante-Poku Nana Amma , Agyei-Holmes Andrew 
Published: February 2024

AbstractA key objective of development thought is to improve the welfare of people and enhance their satisfaction with life. This is important following literature that suggests that increasing incomes may not necessarily lead to happiness in the long term. In this regard, this study investigates the drivers of happiness in Ghana and the determinants of transitions into different happiness states. Using a nationwide panel dataset over three time periods and employing econometric techniques, the study found that among the key determinants of happiness in Ghana are assets, social capital/networks, health status, ethnicity, age and location of residence. The study further found that assets neutralize the effects of other vital drivers while social network has a moderating effect on how assets predict happiness. In contrast, an inverted U-shape was found for the importance of assets to happiness over one’s age, suggesting that assets begin to matter less for one’s happiness beyond a certain age threshold. Aside from assets and social network, which predict transitions from any state of happiness to the other, the importance of other correlates of the transitions largely varies by the initial state of happiness. The implications are discussed within the framework of the goals of development policy.