bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expression and prognosis analysis of TBX2 subfamily in human lung carcinoma
Authors: Mi Rui , Wang Qiubo , Liu Qingyang , Jiang Fengying , Ji Yuan 
Published: February 2024

Abstract
Purpose
Lung cancer has a high morbidity and mortality rate of all cancers worldwide. Therefore, there is an urgent need for reliable cancer markers for diagnosis and prognosis of patients with lung cancer.

Methods
In this study, we used the bioinformatics database to compare the expression of the TBX2 subfamily at the transcriptional and protein levels in non-small cell lung cancer. Then, to confirm our bioinformatics analysis above, we used western bloting to determine the expression of TBX2, TBX3, TBX4 and TBX5 in human lung squamous carcinoma cell lines. Besides, low expression of TBX2 subfamily predicted a poor prognosis of patients with lung cancer. Finally, The methylation database was used to explore the relationship between the low expression of TBX2 subfamily and methylation of gene promoter region.

Results
Our data showed a significant decrease of TBX2 subfamily expression in lung cancer tissues of several histological subtypes. Finally, the methylation of TBX2 subfamily members in the promoter region of NSCLC was significantly higher than that in normal tissues.

Conclusion
Our research provided sufficient evidence that TBX2 subfamily might play an inhibitory role in malignancy progression of lung cancer, which is promising to shed light on discovering a novel reliable cancer marker for prognosis of lung cancer patients.
Interrogating Neurotypical Bias in Facilitated Communication, Rapid Prompting Method, and Spelling 2 Communicate Through a Humanistic Lens
Authors: Schlosser Ralf W. , Prabhu Anjali 
Published: February 2024

Abstract
Purpose of Review
Minimally-speaking autistic individuals can be effectively supported through evidence-based augmentative and alternative communication (AAC). Instead, some families/clinicians rely on facilitator-dependent techniques such as Facilitated Communication (FC), Rapid Prompting Method (RPM), and Spelling 2 Communicate (S2C). Research evidence unequivocally demonstrates that FC messages are generated by the neurotypical facilitator rather than the autistic individual. Although it is empirically unknown who is authoring messages generated with RPM or S2C, the technique has been compared along many dimensions to FC, and analyses of publicly available video-taped interactions of RPM and S2C indicate that facilitators tend to move the display and cue autistic individuals. Given the persistence and increased use of FC/RPM/S2C, this paper explores the consequences of neurotypical biases through a humanistic lens by drawing insights from postcolonial theory.

Recent Findings
Our analyses reveal that there is a particular way in which the representation of autistic persons becomes a variation of the able or neurotypical society. If we admit the evidence that FC does not provide access to the voice of the person/s purportedly speaking, we would be committing “epistemic violence” against these persons by continuing these techniques. That is, we might do violence by distorting the will and desire of the very people that we seek to understand and include. Ventriloquism, a metaphor evoked by others to characterize facilitator-dependent techniques, is used here to scrutinize further the dynamics of the process involved in such situations.

Summary
To prevent (or at least minimize) the stifling of autistic voices through procedures resembling ventriloquism, violence to the will of autistic persons, and epistemic harms, all our disciplinary and clinical efforts should converge to enable the rights of autistic individuals who have little or no functional speech to express their will and to amplify their voices using evidence-based AAC methods.
Hamacher interaction aggregation operators for complex intuitionistic fuzzy sets and their applications in green supply chain management
Authors: Liu Peide , Ali Zeeshan 
Published: February 2024

AbstractA complex intuitionistic fuzzy (CIF) set contains the membership and non-membership in the shape of a complex number whose amplitude term and phase term are covered in the unit interval. Moreover, Hamacher interaction aggregation operators are the combination of two major operators, called Hamacher aggregation operators and interaction aggregation operators, and they are used to aggregate the collection of information into one value. In this manuscript, we present the concept of Hamacher interaction operational laws for CIF sets (CIFSs). Further, we develop the CIF Hamacher interaction weighted averaging (CIFHIWA) operator, CIF Hamacher interaction ordered weighted averaging (CIFHIOWA) operator, CIF Hamacher interaction weighted geometric (CIFHIWG) operator, and CIF Hamacher interaction ordered weighted geometric (CIFHIOWG) operator. For these operators, we also discuss some basic properties, such as idempotency, monotonicity, and boundedness. Additionally, we develop a MADM method based on the developed operators and apply it to solve the green supply chain management problems, which can implement environmentally friendly practices to minimize carbon emissions, resource consumption, and waste generation while promoting long-term sustainability. Finally, we verify the superiority and effectiveness of the proposed method based on a comparative analysis between the proposed techniques and existing methods.
A joint multi-model machine learning prediction approach based on confidence for ship stability
Authors: Jiang Chaicheng , Xiang Xianbo , Xiang Gong 
Published: February 2024

AbstractSince the traditional ship stability failure probability assessment method has many input parameters and cumbersome intermediate calculation process, this paper proposes a joint multi-model machine learning prediction method based on confidence. The method calculates the confidence of each machine learning model for the current prediction result, selects the top n models among them, and takes the average of their prediction results as the output. The confidence is calculated by a method inspired by semi-supervised learning. To reduce the number of ship features that need to be input for assessment, a sensitivity analysis is used to reject irrelevant features. Eight machine learning models that have good performance and are widely used in other fields, including Radial Basis Function Neural Network, Random Forest, eXtreme Gradient Boosting, and so on, are used as component learners in this study. The hyperparameters of each model are obtained by cross-validation and grid search. The advancedness of the proposed method is verified by comparing it with other models on a small self-built ship stability failure probability dataset. By conducting experiments that simply average the results of the component learners, it is confirmed that simple superposition different models does not necessarily improve the accuracy. At the same time, after pre-processing the input features in different ways, the comparison of the prediction performance was conducted, and the experimental results showed that the proposed method is not affected by the way the input features are preprocessed and therefore has some robustness.
Active Micro-Nano-Collaborative Bioelectronic Device for Advanced Electrophysiological Recording
Authors: Xiang Yuting , Shi Keda , Li Ying , Xue Jiajin , Tong Zhicheng , Li Huiming , Li Zhongjun , Teng Chong , Fang Jiaru , Hu Ning 
Published: February 2024

AbstractThe development of precise and sensitive electrophysiological recording platforms holds the utmost importance for research in the fields of cardiology and neuroscience. In recent years, active micro/nano-bioelectronic devices have undergone significant advancements, thereby facilitating the study of electrophysiology. The distinctive configuration and exceptional functionality of these active micro-nano-collaborative bioelectronic devices offer the potential for the recording of high-fidelity action potential signals on a large scale. In this paper, we review three-dimensional active nano-transistors and planar active micro-transistors in terms of their applications in electro-excitable cells, focusing on the evaluation of the effects of active micro/nano-bioelectronic devices on electrophysiological signals. Looking forward to the possibilities, challenges, and wide prospects of active micro-nano-devices, we expect to advance their progress to satisfy the demands of theoretical investigations and medical implementations within the domains of cardiology and neuroscience research.
Enhancing the Interaction of Carbon Nanotubes by Metal–Organic Decomposition with Improved Mechanical Strength and Ultra-Broadband EMI Shielding Performance
Authors: Shi Yu-Ying , Liao Si-Yuan , Wang Qiao-Feng , Xu Xin-Yun , Wang Xiao-Yun , Gu Xin-Yin , Hu You-Gen , Zhu Peng-Li , Sun Rong , Wan Yan-Jun 
Published: February 2024

AbstractThe remarkable properties of carbon nanotubes (CNTs) have led to promising applications in the field of electromagnetic interference (EMI) shielding. However, for macroscopic CNT assemblies, such as CNT film, achieving high electrical and mechanical properties remains challenging, which heavily depends on the tube–tube interactions of CNTs. Herein, we develop a novel strategy based on metal–organic decomposition (MOD) to fabricate a flexible silver–carbon nanotube (Ag–CNT) film. The Ag particles are introduced in situ into the CNT film through annealing of MOD, leading to enhanced tube–tube interactions. As a result, the electrical conductivity of Ag–CNT film is up to 6.82 × 105 S m−1, and the EMI shielding effectiveness of Ag–CNT film with a thickness of ~ 7.8 μm exceeds 66 dB in the ultra-broad frequency range (3–40 GHz). The tensile strength and Young’s modulus of Ag–CNT film increase from 30.09 ± 3.14 to 76.06 ± 6.20 MPa (~ 253%) and from 1.12 ± 0.33 to 8.90 ± 0.97 GPa (~ 795%), respectively. Moreover, the Ag–CNT film exhibits excellent near-field shielding performance, which can effectively block wireless transmission. This innovative approach provides an effective route to further apply macroscopic CNT assemblies to future portable and wearable electronic devices.
Design of Sturm global attractors 2: Time-reversible Chafee–Infante lattices of 3-nose meanders
Authors: Fiedler Bernold , Rocha Carlos 
Published: February 2024

AbstractThis sequel continues our exploration (Fiedler and Rocha in Chaos 33:083127, 2023. https://doi.org/10.1063/5.0147634) of a deceptively “simple” class of global attractors, called Sturm due to nodal properties. They arise for the semilinear scalar parabolic PDE on the unit interval $$0< x<1$$

0
<
x
<
1

, under Neumann boundary conditions. This models the interplay of reaction, advection, and diffusion. Our classification is based on the Sturm meanders, which arise from a shooting approach to the ODE boundary value problem of equilibrium solutions $$u=v(x)$$

u
=
v
(
x
)

. Specifically, we address meanders with only three “noses”, each of which is innermost to a nested family of upper or lower meander arcs. The Chafee-Infante paradigm of 1974, with cubic nonlinearity $$f=f(u)$$

f
=
f
(
u
)

, features just two noses. We present, and fully prove, a precise description of global PDE connection graphs, graded by Morse index, for such gradient-like Morse–Smale systems. The directed edges denote PDE heteroclinic orbits "Equation missing" between equilibrium vertices $$v_1, v_2$$

v
1

,

v
2

of adjacent Morse index. The connection graphs can be described as a lattice-like structure of Chafee-Infante subgraphs. However, this simple description requires us to adjoin a single “equilibrium” vertex, formally, at Morse level $$-1$$

-
1

. Surprisingly, for parabolic PDEs based on irreversible diffusion, the connection graphs then also exhibit global time reversibility.
The Attributes and Characteristics of Leisure Activity Engagement that Foster Cognition in Aging: A Scoping Review
Authors: Wenzel Karen Carnicello , Van Puymbroeck Marieke , Gagnon Ryan , Lewis Stephen , McGuire Francis , Vidotto Julie 
Published: February 2024

AbstractThe association between leisure activities and cognition in aging is well supported, suggesting that intellectual, physical, and social leisure engagement protects against cognitive decline. However, less is known about the attributes and characteristics of leisure activity engagement that foster neurological protection. The purpose of this study was to review the current evidence related to the salient features of leisure activity engagement that foster cognition in aging. Using scoping review procedures, nine databases were searched. Sixty-five articles, published between 2000 and 2021 met study criteria, providing empirical information about the ways in which attributes and characteristics of leisure engagement have shown an association with cognition in aging. The purpose of a scoping review is to systematically map the literature on a topic, identifying key concepts, theories, sources of evidence, and gaps in the research. This review identified and explored the attributes of leisure engagement which were frequency, intensity, duration, and variety. Characteristics of leisure engagement identified include novelty, active/productive engagement, enjoyment, meaning, and self-direction. Literature supports, to varying degrees, the association between leisure attributes and characteristics and cognition in aging. This information may provide more meaningful direction for intervention than recommendations for engagement in specific activities or activity domains. Results suggest that it is the way leisure is experienced, i.e., the attributes and characteristics of leisure engagement, and not any specific leisure activity or category of activities that may determine the protection provided against cognitive decline in aging. This can be used to guide future research, provide beneficial recommendations to older adults, and in the design of efficacious interventions to prevent cognitive decline in aging.
Physical-activity interventions to reduce fear of falling in frail and pre-frail older adults: a systematic review of randomized controlled trials
Authors: Savvakis Ioannis , Adamakidou Theodoula , Kleisiaris Christos 
Published: February 2024

Abstract
Background
Frailty in older adults leads to progressive deterioration of their physical condition and makes them prone to develop Fear of Falling (FoF). Physical-activity interventions appear to be effective in managing the components of frailty but there is no clear evidence to determine whether physical-activity may affect FoF in frail and pre-frail older adults.

Objective
Τhis systematic literature review aims to synthesize evidence on the relationship between the physical interventions to ameliorate balance, strength, and mobility and FoF reduction in frail and pre-frail older adults.

Methods
Studies assessing physical-activity interventions for frail and pre-frail older adults aged 60 years and older were identified in English through searches in PubMed, ScienceDirect, and Cochrane Central Register of Controlled Trials databases till February 2023. Study quality was assessed, and a qualitative synthesis of results was performed.

Results
A total of 13 studies published were included. All of them were Randomized Control Trials and the most frequent assessment tool used to assess FoF (10 of 13 studies) was the Fall Efficacy Scale-International (FES-I). Six studies were assessed as having a low risk of bias. Cumulatively, the findings of this review indicate that physical-activity interventions are effective in reducing the FoF of frail and pre-frail older adults.

Conclusion
The results are encouraging and recapitulate the positive role of physical interventions in FoF reduction. However, future research would benefit from longer follow-up periods, longer intervention duration, and participation of interdisciplinary teams.
Vegetative, flowering and fruiting characteristics, nutrient removal amounts by yield and oil content of six female jojoba genotypes
Authors: Hassan Abdthialjalal Zakaria 
Published: February 2024

AbstractHigh yielding and high oil content of jojoba genotypes are of great importance to ensure an economically acceptable yield. This study was conducted through 2017 and 2018 seasons and aimed for choosing the best female jojoba genotype among six shrubs for seed and oil production (experiment 1) and assessing the removed nutrients by the yield of jojoba genotypes, which is considered an indicator of harvest fertilization requirements (experiment 2). Vegetative, flowering, fruiting, yield, seed oil content, oil yield and seed physical characteristics were determined. Moreover, seeds’ nutrient content and nutrient removal by yield were estimated and calculated. According to the findings, genotype 2 (G2) had the best seed production (1.00 and 1.70 kg, respectively) and oil yield (0.48 and 0.83 kg, respectively) in both seasons. G5 proved to be the best concerning the number of laterals/meter, average number of flowers and fruits/meter. The most abundant nutrient in jojoba seeds was N followed by S, Mg and K, other nutrients were in small amounts. G2 removed the highest amounts of N, P, K, Ca, Mg, S and Mn (g) in both seasons. The highest N, P, K, Ca, S, and Fe amounts (g/1 kg seeds) were removed by G4, G5, G2, G6, G2 and G4, respectively. It’s recommended to use G2 as a mother plant and propagate it asexually due to its maximum numerical evaluation value. Also, farmers should pay attention to the removed nutrients by yield to insure sufficient N, S and other nutrient concentrations to achieve optimal yield and seed quality.
Household wastewater management in sub-Saharan Africa: a review
Authors: Ali Ahmed Fate , Gujiba Umar Kachalla 
Published: February 2024

AbstractWastewater is the major source of the transmission of disease-causing organisms in developing countries. There is a strong association between diarrhoea and contaminated water worldwide. Evidence linking sanitation practices to a positive impact on health is scarce although many studies have reported a reduction of disease through improvements in waste management. This review in prospect examined the impact of wastewater management interventions in resource-poor countries of sub-Saharan Africa for the reduction of diarrhoeal outcomes in non-outbreak situations. This review of empirical literature identified and assessed the impact of effective wastewater management on public health in sub-Saharan Africa and evaluated the implications to public health practice. A systematic database search was carried out, relevant research articles were screened, and some of the articles were considered to contain relevant materials but only 5 met the inclusion criteria and were used in this study. Despite the limited number of studies meeting the inclusion criteria, there was reliable evidence of the impact of wastewater management in all the studies based on the strong positive statistical association between interventions and the reduction of diarrhoeal morbidity. Wastewater management interventions are effective for the reduction of illnesses due to diarrhoea in agreement with other previous reviews on water, hygiene, and sanitation interventions. This underlines the need for good strategies for effective wastewater management. This study contributes valuable insights to the existing body of knowledge and calls for sustained efforts in developing comprehensive wastewater management solutions in the quest for improved outcomes in sub-Saharan Africa.
A-priori modelling of selected physico-chemical properties of Malbec V. Vinifera specie Alphonse Lavallee variety of black grape juice
Authors: Raval Mrudav K. , Annapure Uday S. , Kundu Debashis 
Published: February 2024

AbstractEstimation of physico-chemical properties is essential for food processing operations ranging from equipment design to plant installation and extending towards packaging, storage and distribution applications. Among the various physico-chemical properties, density, heat capacity and thermal conductivity play an influential role. Herein, the physico-chemical properties such as estimation of density, heat capacity and thermal conductivity for Malbec V. Vinifera specie Alphonse Lavallee variety of black grape juice are estimated as a function of temperature (274 to 339 K) and concentration (13.6–45°Brix). A group contribution method approach coupled with the genetic algorithm (GA) formulation is employed to estimate the parameters and respective non-linear equations for important property parameter calculations are generated. The objective functions use experimental dataset of density, thermal conductivity and heat capacity over the same temperature and concentration range subtracted from the estimated dataset to minimize the objective function values in the genetic algorithm framework. Additionally, cubic equation of state is employed as constitutive relation for such estimation. The results follow a similar trendline and show a close resemblance in comparison of the experimental dataset with high accuracy indicating a potential use of similar methodology towards estimation of properties for other food matrices.
Graphical Abstract
Engineering of edge nitrogen dopant in carbon nanosheet framework for fast and stable potassium-ion storage
Authors: Wang Caiwei , Yang Dongjie , Zhang Wenli , Qin Yanlin , Qiu Xueqing , Li Zhili 
Published: February 2024

AbstractAmorphous carbons are promising candidates as the anode materials for potassium-ion hybrid capacitors (PIHCs). The insufficient storage sites and inferior diffusion kinetics limit their potassium-ion storage capability. Edge nitrogen and morphology engineering are effective pathways to construct accessible active sites and enhanced diffusion kinetics. However, the organic integration of both pathways in amorphous carbon is still challenging. Herein, a “twice-cooking” strategy, including two-step carbonization processes at 700 °C, is designed to synthesize edge-nitrogen-rich lignin-derived carbon nanosheet framework (EN-LCNF). In the first-step carbonization process, the staged gas releases of CO and CO2 from CaC2O4 decomposition exfoliate the carbon matrix into a carbon nanosheet framework. In the second-step carbonization process, the generated CaO reacts with the cyanamide units of graphitic carbon nitride (g-C3N4) to form an edge-nitrogen-rich framework, which is then integrated into the meso-/macropores of carbon nanosheet framework through sp3-hybridized C–N bonds. EN-LCNF with a high edge-nitrogen level of 7.0 at.% delivers an excellent capacity of 310.3 mAh g−1 at 50 mA g−1, a robust rate capability of 126.4 mAh g−1 at 5000 mA g−1, and long cycle life. The as-assembled PIHCs based on EN-LCNF anode and commercial activated carbon cathode show a high energy density of 110.8 Wh kg−1 at a power density of 100 W kg−1 and excellent capacitance retention of 98.7% after 6000 cycles. This work provides a general strategy for the synthesis of edge-nitrogen-rich lignin-derived carbon materials for advanced potassium-ion storage.
Graphical Abstract