bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of high-order interactions on synchronization of a fractional-order neural system
Authors: Saçu İbrahim Ethem 
Published: January 2024

Abstract
In this study, effects of high-order interactions on synchronization of the fractional-order Hindmarsh–Rose neuron models have been examined deeply. Three different network situations in which first-order coupling, high-order couplings and first-plus second-order couplings included in the neuron models, have been considered, respectively. In order to find the optimal values of the first- and high-order coupling parameters by minimizing the cost function resulted from pairwise and triple interactions, the particle swarm optimization algorithm is employed. It has been deduced from the numerical simulation results that the first-plus second-order couplings induce the synchronization with both reduced first-order coupling strength and total cost compared to the first-order coupled case solely. When the only first-order coupled case is compared with the only second-order coupled case, it is determined that the neural network with only second-order couplings involved could achieve synchronization with lower coupling strength and, as a natural result, lower cost. On the other hand, solely second- and first-plus second-order coupled networks give very similar results each other. Therefore, high-order interactions have a positive effect on the synchronization. Additionally, increasing the network size decreases the values of the both first- and high-order coupling strengths to reach synchronization. However, in this case, total cost should be kept in the mind. Decreasing the fractional order parameter causes slower synchronization due to the decreased frequency of the neural response. On the other hand, more synchronous network is possible with increasing the fractional order parameter. Thus, the neural network with higher fractional order as well as high-order coupled is a good candidate in terms of the neural synchronization.
Application of Small- and Ultra-Small-Angle Neutron Scattering for the Characterization of Mechanically Plated Coatings
Authors: Chung Ping Ping , Mata Jitendra , Wang James , Durandet Yvonne 
Published: January 2024

AbstractPost-mechanical plating heat treatment induces the formation of an iron–zinc (Fe-Zn) rich intermetallic layer between Zn and ZnSn coatings and the substrate. Despite increased outer coating porosity, the corrosion resistance of Zn- and ZnSn-coated steels significantly improves after heat treatment, attributed to the formation of intermetallic phases. This study employs small- and ultra-small-angle neutron scattering (SANS and USANS) to investigate the behavior of mechanically plated Zn and ZnSn coatings pre- and post-heat treatment. In the presence of a relatively thick steel substrate, strong multiple scattering occurs. However, by identifying a specific highQ-range region where multiple scattering is negligible, we reveal small but significant differences. Porod’s slopes, denoted as ‘n’, are calculated for uncoated steel, and Zn- and ZnSn-coated steels (both with and without heat treatment). These slope values reflect contributions from different interfaces on the particles’ surface roughness. Despite the challenges of multiple scattering, our findings offer valuable insights into coatings’ behavior. The study lays a foundation for future investigations into coating behavior using SANS/USANS techniques.
Evolution of Through-Thickness Texture and Microstructure of an ARB-Processed Nb1-Zr Alloy
Authors: Rey-Castañeda Juan Emilio , Pérez-García Sergio Alfonso , García-Pastor Francisco 
Published: January 2024

AbstractThis study investigates the effects of accumulative roll bonding processing on a commercial Nb1Zr alloy. The sheets were subjected to preheating, followed by five reduction cycles. Microstructural evolution was examined through metallography, revealing increasing homogenization of the morphology across the laminate thickness. Microhardness increased from 109 HV to 187 HV in the final laminate due to grain refinement. Electron back-scattered diffraction analysis showed removal of shear strain effects with each deformation step, highlighting microstructural heterogeneity and texture variation. The Goss texture was intensified at the surface during the third cycle, attributed to surface recrystallization. Low-angle grain boundaries were prevalent initially, shifting to a bimodal distribution favoring high-angle grain boundaries with increased deformation, linked to dynamic recovery and recrystallization.
The protective role of positive mental health on prolonged grief disorder, anxiety and depression among bereaved refugees: cross-sectional mediation models
Authors: Dababneh Nesreen , Margraf Jürgen , Zhang Xiao Chi , Brailovskaia Julia 
Published: January 2024

AbstractGrief is a common reaction to loss; however, its persistence is subject to specific mechanisms related to the context of death, comorbidities with other mental health disorders, and individual coping status. The current study aimed to investigate the cross-sectional link between refugees’ positive mental health (PMH) and reduced prolonged grief disorder (PGD) mediated by changes in anxiety and depression and, conversely, between PMH and reduced anxiety and depression symptoms mediated by changes in prolonged grief symptoms. The present cross-sectional study involved 385 bereaved adult Arabic-speaking refugees. Data were collected via an online survey. All participants experienced prolonged grief symptoms a minimum of 6 months from the death event. The parallel mediation model showed that PMH is indirectly linked to PGD, and the significant mediation of anxiety and depression could explain this relationship. Furthermore, two simple mediation models showed that PMH is indirectly linked to anxiety and depression, and the significant mediating effect of PGD could explain this relationship. The current results confirm the role of PMH as a predisposed coping status that could reduce the risk for PGD. Increasing the level of PMH can be considered a protective factor against challenging life events such as persistent grief and related disorders.
Inverse and Moore–Penrose inverse of conditional matrices via convolution
Authors: Köme Cahit , Yazlik Yasin 
Published: January 2024

AbstractMoore–Penrose inverse emerges in statistics, neural networks, machine learning, applied physics, numerical analysis, tensor computations, solving systems of linear equations and in many other disciplines. Especially after the 2000s, the topic of Moore–Penrose inverse has started to attract great attention by researchers and has become a popular subject. In this paper, we investigate the Moore–Penrose inverse of the conditional matrices via convolution product formula. In order to use convolution formula effectively, we derive some useful identities by using some properties of the generalized conditional sequence. Moreover, we express the Moore–Penrose inverse of the conditional matrices in the form of block matrices. Finally, we not only present more general results compared to earlier works, but also provide many novel results using analytical techniques.
Pelvic Inflammatory Disease Mimicking Ovarian Cancer: A Case Series from A Tertiary Cancer Center
Authors: Abouzid Amr , Shetiwy Mosab , Hossam Amr , Hamdy Mohamed , Ezzat Mohamed , Elghaffar Mohamed Abd 
Published: January 2024

AbstractThe female pelvis has a complex anatomy, and benign adnexal diseases can present as malignant ovarian masses clinically and radiologically. Between 1 June 2011 and 28 September 2022, we included in this study all the patients who were diagnosed initially with suspicious ovarian masses in the Department of Surgical Oncology, Oncology Center, Mansoura University, Egypt, and after surgical exploration revealed pelvic inflammatory disease and we assessed their diagnostic, operative, and postoperative outcomes. In this case series we had 41 patients of a total of 803 cases with suspicious adnexal mass that revealed pelvic inflammatory disease after surgical exploration, abdominal pain was the common presentation in 53.7% of the cases, and low-grade fever was reported in seven cases. The serum cancer antigen 125 was elevated in 70.7% of the cases. Unilateral adnexal mass was found in 30 cases and 11 cases had bilateral adnexal masses. We followed up on the patients within 47 months (range 12–88 months); recurrent pelvic inflammatory disease has developed in one case after 62 months and ovarian cancer has developed in another case after 80 months. We concluded that benign adnexal masses such as tubo-ovarian abscess secondary to pelvic inflammatory disease should be considered a differential diagnosis in patients with radiological suspicious adnexal masses when the tumor markers such as cancer antigen 125 are normal or mildly elevated, especially in premenopausal women, and the clinical presentations are not specific to either benign or malignant adnexal diseases.
Lithium-Ion Charged Polymer Channels Flattening Lithium Metal Anode
Authors: Duan Haofan , You Yu , Wang Gang , Ou Xiangze , Wen Jin , Huang Qiao , Lyu Pengbo , Liang Yaru , Li Qingyu , Huang Jianyu , Wang Yun-Xiao , Liu Hua-Kun , Dou Shi Xue , Lai Wei-Hong 
Published: January 2024

AbstractThe concentration difference in the near-surface region of lithium metal is the main cause of lithium dendrite growth. Resolving this issue will be key to achieving high-performance lithium metal batteries (LMBs). Herein, we construct a lithium nitrate (LiNO3)-implanted electroactive β phase polyvinylidene fluoride-co-hexafluoropropylene (PVDF-HFP) crystalline polymorph layer (PHL). The electronegatively charged polymer chains attain lithium ions on the surface to form lithium-ion charged channels. These channels act as reservoirs to sustainably release Li ions to recompense the ionic flux of electrolytes, decreasing the growth of lithium dendrites. The stretched molecular channels can also accelerate the transport of Li ions. The combined effects enable a high Coulombic efficiency of 97.0% for 250 cycles in lithium (Li)||copper (Cu) cell and a stable symmetric plating/stripping behavior over 2000 h at 3 mA cm−2 with ultrahigh Li utilization of 50%. Furthermore, the full cell coupled with PHL-Cu@Li anode and LiFePO4 cathode exhibits long-term cycle stability with high-capacity retention of 95.9% after 900 cycles. Impressively, the full cell paired with LiNi0.87Co0.1Mn0.03O2 maintains a discharge capacity of 170.0 mAh g−1 with a capacity retention of 84.3% after 100 cycles even under harsh condition of ultralow N/P ratio of 0.83. This facile strategy will widen the potential application of LiNO3 in ester-based electrolyte for practical high-voltage LMBs.
Efficient Polytelluride Anchoring for Ultralong-Life Potassium Storage: Combined Physical Barrier and Chemisorption in Nanogrid-in-Nanofiber
Authors: Li Qinghua , Yu Dandan , Peng Jian , Zhang Wei , Huang Jianlian , Liang Zhixin , Wang Junling , Lin Zeyu , Xiong Shiyun , Wang Jiazhao , Huang Shaoming 
Published: January 2024

AbstractMetal tellurides (MTes) are highly attractive as promising anodes for high-performance potassium-ion batteries. The capacity attenuation of most reported MTe anodes is attributed to their poor electrical conductivity and large volume variation. The evolution mechanisms, dissolution properties, and corresponding manipulation strategies of intermediates (K-polytellurides, K-pTex) are rarely mentioned. Herein, we propose a novel structural engineering strategy to confine ultrafine CoTe2 nanodots in hierarchical nanogrid-in-nanofiber carbon substrates (CoTe2@NC@NSPCNFs) for smooth immobilization of K-pTex and highly reversible conversion of CoTe2 by manipulating the intense electrochemical reaction process. Various in situ/ex situ techniques and density functional theory calculations have been performed to clarify the formation, transformation, and dissolution of K-pTex (K5Te3 and K2Te), as well as verifying the robust physical barrier and the strong chemisorption of K5Te3 and K2Te on S, N co-doped dual-type carbon substrates. Additionally, the hierarchical nanogrid-in-nanofiber nanostructure increases the chemical anchoring sites for K-pTex, provides sufficient volume buffer space, and constructs highly interconnected conductive microcircuits, further propelling the battery reaction to new heights (3500 cycles at 2.0 A g−1). Furthermore, the full cells further demonstrate the potential for practical applications. This work provides new insights into manipulating K-pTex in the design of ultralong-cycling MTe anodes for advanced PIBs.
Projective and injective tensor products of Banach $$L^0$$-modules
Authors: Pasqualetto Enrico 
Published: January 2024

AbstractWe study projective and injective tensor products of Banach $$L^0$$

L
0

-modules over a $$\sigma $$
σ
-finite measure space. En route, we extend to Banach $$L^0$$

L
0

-modules several technical tools of independent interest, such as quotient operators, summable families, and Schauder bases.
Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction
Authors: Zhao Dongfang , Huanshi Xu , Xun Zhang 
Published: January 2024

AbstractThe application of reinforcement learning (RL) to the field of autonomous robotics has high requirements about sample efficiency, since the agent expends for interaction with the environment. One method for sample efficiency is to extract knowledge from existing samples and used to exploration. Typical RL algorithms achieve exploration using task-specific knowledge or adding exploration noise. These methods are limited to current policy improvement level and lack of long-term planning. We propose a novel active exploration deep RL algorithm for the continuous action space problem named active exploration deep reinforcement learning (AEDRL). Our method uses the Gaussian process to model dynamic model, enabling the probability description of prediction sample. Action selection is formulated as the solution of the optimization problem. Thus, the optimization objective is specifically designed for selecting samples that can minimize the uncertainty of the dynamic model. Active exploration is achieved through long-term optimized action selection. This long-term considered action exploration method is more guidance for learning. Enable intelligent agents to explore more interesting action spaces. The proposed AEDRL algorithm is evaluated on several robotic control task including classic pendulum problem and five complex articulated robots. The AEDRL can learn a controller using fewer episodes and demonstrates performance and sample efficiency.
Optimized Convolutional Forest by Particle Swarm Optimizer for Pothole Detection
Authors: Aljohani Abeer 
Published: January 2024

AbstractPoor road maintenance leads to potholes on the road. Potholes are responsible for road accidents and even deaths in developed and developing countries. Detecting and filling road potholes is an essential part of road maintenance. Sustaining a reliable and safe road for communication depends on pothole detection. This study presents a novel combination of a convolutional neural network and an optimized machine-learning model by a heuristic algorithm for pothole detection. The proposed method comprises a shallow convolutional neural network for feature extraction and an optimized random forest model for pothole detection. The proposed model initially uses the shallow convolutional layer to extract feature sets from input pictures. Then, the particle swarm optimizer is used to eliminate irrelevant features. Finally, a combination of random forest and a particle swarm optimizer is used for pothole detection. Particle swarm optimization indicates the best subset of the extracted feature set for final pothole detection. We added 171 pictures to the already available 665 pothole pictures to evaluate the proposed method. The test set was isolated from the training set, and we trained the model on k-fold cross-validation. The experimental result indicates 99.37% accuracy, 99.37% precision, 99.38% sensitivity, and 99.38% F1-score for discriminating potholes from roads without potholes by proposed methods. The response time of the proposed method for pothole detection is 0.02 s. The proposed method can be utilized for real-time pothole detection.
Positivity of Schur forms for strongly decomposably positive vector bundles
Authors: Wan Xueyuan 
Published: January 2024

Abstract
In this paper, we define two types of strongly decomposable positivity, which serve as generalizations of (dual) Nakano positivity and are stronger than the decomposable positivity introduced by S. Finski. We provide the criteria for strongly decomposable positivity of type I and type II and prove that the Schur forms of a strongly decomposable positive vector bundle of type I are weakly positive, while the Schur forms of a strongly decomposable positive vector bundle of type II are positive. These answer a question of Griffiths affirmatively for strongly decomposably positive vector bundles. Consequently, we present an algebraic proof of the positivity of Schur forms for (dual) Nakano positive vector bundles, which was initially proven by S. Finski.
The Case for Special Education Teacher Wellbeing: A Multidimensional Review of the Evidence and Future Directions
Authors: Sawatske Andrew , Leonard Carl , Harris Jess , Dally Kerry 
Published: January 2024

AbstractExtant studies of special education teacher wellbeing often focus on negative aspects, such as stress, burnout and the consequent attrition from teaching, the latter occurring with increasing frequency in the field of special education. In this article, the authors use the OECD teacher wellbeing framework to conceptualise special education teacher wellbeing as a positive multidimensional construct, making the case for uncoupling special education teacher wellbeing from mainstream teacher wellbeing given the almost paradigmatic difference in roles, responsibilities, and educational context within Australian schools. The (limited) literature reveals numerous possibilities for supporting and promoting special education teacher wellbeing with salient wellbeing-promoting factors, such as teacher self-efficacy, connectedness, professional development, and class structure. Further empirical studies harnessing these factors will help improve working conditions and the wellbeing of special education teachers.
Teaching the difficult heritage of Italian Fascism
Authors: Daly Selena , Malone Hannah , Wilcox Vanda 
Published: January 2024

AbstractIn recent years, the architectural legacy and so-called ‘difficult heritage’ of Fascist Italy has become a flourishing field of research. These topics have also begun to make their way into the undergraduate classroom. To date, however, there has been little research carried out into the methods we use to teach the history of Fascism in particular. In this short article, we outline how we have applied problem-based learning and scenario-based learning approaches to tackle this topic. After presenting three assignments, we explain the benefits associated with a PBL/SBL approach, summarised under the headings of interdisciplinarity, creativity and authenticity, before highlighting some aspects on which colleagues may wish to reflect if they are considering adopting a similar approach in their teaching.
The temperature optima for pollen germination and pollen tube growth of coconut (Cocos nucifera L.) strongly depend on the growth temperature
Authors: Kumarathunge Dushan P. , Weerasinghe Lasantha K. , Samarasinghe Ruwan K. , Geekiyanage Nalaka 
Published: January 2024

Abstract
Understanding trait variation in response to temperature is important to predict how crops respond to rising temperature. Although we have a sound understanding of the effects of increasing temperature on growth and development of crops, a robust assessment of how crop reproductive processes are affected by climate warming is still lacking. In this study, we experimentally investigate how the growth temperature affects the cardinal temperatures of in vitro pollen germination of widely distributed tree crop species Cocos nucifera L. (cultivar Sri Lankan Tall). We hypothesize that temperature optima for pollen germination and pollen tube growth would be determined by the growth temperature. Our results showed that the temperature optima of pollen germination and pollen tube growth were higher at relatively warmer sites (sites where the mean annual temperature ∼ 28°C) compared to the cooler sites (sites where the mean annual temperature ∼ 22°C). The two processes were better coordinated at warmer sites. We speculate that tropical tree species that are currently growing in relatively cooler environments may have the capacity to perform their reproductive physiological functions in future warmer climates without any substantial negative impacts. Findings of this study should prove useful in quantifying the potential impacts of climate warming on tropical agro-ecosystems, improving the representation of plant reproduction in crop models.
Circular agriculture practices enhance phosphorus recovery for large-scale commercial farms under tropical conditions
Authors: Moreira S. G. , Hoogenboom G. , Nunes M. R. , Sanchez P. A. 
Published: January 2024

AbstractThe objective of this research was to assess the adoption of circular agricultural practices as a tool to improve the recovery use efficiency of phosphorus (P) applied to tropical soils. Two Brazilian farms (1 and 2) that are under long-term no-till and cropped year-round with cover and/or cash crops were used in this study. Soybean, maize and common bean were grown during the summer season (October–February), followed by wheat, common bean and maize during the winter season (February–August). Brachiaria ruziziensis was intercropped with off-season maize. Farm 1 also grew sweet potatoes in rotation with grains. In the integrated crop–livestock system, the leftovers from the silos and crop residues were used to feed beef cattle, while the residues not used in the confinement were turned into compost and applied in the production fields. During the last 3 years, 80 (farm 1) and 71 (farm 2) kg/ha/year of P-fertilizer was applied to meet the demand of the different crops and 56% (farm 1) and 58% (farm 2) of P-fertilizer was exported through the crops and livestock. P-recovery represented more than 50% on both farms. Around 60% of the P consumed by animals was excreted in the form of faeces and urine and the animal manure was used to produce organic compost. Therefore, most of the P consumed by the livestock was returned back to the field to serve as organic fertilizer. This study showed that circular agricultural practices can enhance P-recovery.
Internal mammary artery perforator flap in the management of tracheoesophageal fistulae
Authors: Kaur Amrita , Biswas Gautam 
Published: January 2024

AbstractBackgroundA pathological communication between the trachea and oesophagus – a tracheoesophageal fistula – may be congenital or acquired, benign or malignant, necessitating a multidisciplinary approach. Conservative attempts at closure of this abnormal connection are ineffective; the interposition of healthy vascular tissue offers the least chance of recurrence.MethodsOutcomes of an islanded fasciocutaneous internal mammary artery perforator flap applied for tracheoesophageal fistula management were assessed in four radiated patients with laryngeal carcinoma using retrospective records.ResultsFour male patients, with an average age of 60.75 years, underwent tracheoesophageal fistula closure between September 2017 and February 2021. A left-sided second internal mammary artery perforator flap was used in all cases, with an average dimension of 10.5 × 4.5 cm. There were no complications of tracheoesophageal leak, flap issues or donor site morbidity on follow up.ConclusionRecent advances in angiosomal territory mapping and microvascular dissection techniques, combined with an understanding of tracheoesophageal fistula pathology, have changed management perspectives in these difficult-to-treat patients.