bluuebunny/crossref_metadata_2025 huggingface dataset:
Does basic medical insurance promote public health? Evidence from China family panel study
Authors: Liao Fuchong , Hu Wenxiu , Zhang Chun
Published: December 2023

Background

To promote common prosperity, China government has devoted much financial resources to the basic medical insurance system, it is of great significance to improve the health level of the insured groups to prevent them from returning to poverty due to illness. Whether or not the basic medical insurance can improve health status is an important policy issue after China has win the absolute poverty alleviation movement.

Methods

Based on the data of China Family Panel Studies this paper constructs a strong balanced panel data with two levels information, which including variables from family level and personal level. This paper uses the panel data fixed effect model and propensity score matching model to analysis.

Results

This paper finds that after controlling the family and personal confounding variables, the basic medical insurance has positive effect toward health status. With propensity score matching model, this paper finds that there is causality between basic medical insurance and public health.

Conclusion

Basic medical insurance has a significant health effect, that is, basic medical insurance has a significant positive impact on individual self-rated health. Participating in basic medical insurance can significantly improve the ability of families to face risk shocks, promote the accumulation of health capital in families, promote the diversification of livelihood strategies, and effectively prevent the occurrence of returning to poverty due to illness.
Statistical inference for dependence networks in topological data analysis
Authors: El-Yaagoubi Anass B. , Chung Moo K. , Ombao Hernando
Published: December 2023

Topological data analysis (TDA) provide tools that are becoming increasingly popular for analyzing multivariate time series data. One key aspect in analyzing multivariate time series is dependence between components. One application is on brain signal analysis. In particular, various dependence patterns in brain networks may be linked to specific tasks and cognitive processes. These dependence patterns may be altered by various neurological and cognitive impairments such as Alzheimer's and Parkinson's diseases, as well as attention deficit hyperactivity disorder (ADHD). Because there is no ground-truth with known dependence patterns in real brain signals, testing new TDA methods on multivariate time series is still a challenge. Our goal here is to develop novel statistical inference procedures via simulations. Simulations are useful for generating some null distributions of a test statistic (for hypothesis testing), forming confidence regions, and for evaluating the performance of proposed TDA methods. To the best of our knowledge, there are no methods that simulate multivariate time series data with potentially complex user-specified connectivity patterns. In this paper we present a novel approach to simulate multivariate time series with specific number of cycles/holes in its dependence network. Furthermore, we also provide a procedure for generating higher dimensional topological features.
A commentary on the healthcare transition policy landscape for youth with disabilities or chronic health conditions, the need for an inclusive and equitable approach, and recommendations for change in Canada
Authors: Nguyen Linda , Dawe-McCord Claire , Frost Michael , Arafeh Musa , Chambers Kyle , Arafeh Dana , Pozniak Kinga , Thomson Donna , Mosel JoAnne , Cardoso Roberta , Galuppi Barb , Strohm Sonya , Via-Dufresne Ley Alicia , Cassidy Caitlin , McCauley Dayle , Doucet Shelley , Alazem Hana , Fournier Anne , Marelli Ariane , Gorter Jan Willem
Published: December 2023

There is a growing number of youth with healthcare needs such as disabilities or chronic health conditions who require lifelong care. In Canada, transfer to the adult healthcare system typically occurs at age 18 and is set by policy regardless of whether youth and their families are ready. When the transition to adult services is suboptimal, youth may experience detrimental gaps in healthcare resulting in increased visits to the emergency department and poor healthcare outcomes. Despite the critical need to support youth with disabilities and their families to transition to the adult healthcare system, there is limited legislation to ensure a successful transfer or to mandate transition preparation in Canada. This advocacy and policy planning work was conducted in partnership with the Patient and Family Advisory Council (PFAC) within the CHILD-BRIGHT READYorNot™ Brain-Based Disabilities (BBD) Project and the CHILD-BRIGHT Policy Hub. Together, we identified the need to synthesize and better understand existing policies about transition from pediatric to adult healthcare, and to recommend solutions to improve healthcare access and equity as Canadian youth with disabilities become adults. In this perspective paper, we will report on a dialogue with key informants and make recommendations for change in healthcare transition policies at the healthcare/community, provincial and/or territorial, and/or national levels.
Review on physical properties and acrylamide formation in seaweed bread
Authors: Aabel Lukas Salvó , Jensen Sarah Normann , Hakme Elena , Feyissa Aberham Hailu
Published: December 2023

Bread, a dietary staple worldwide, owes its diverse physical properties to a complex interplay of composition and processing. This review focuses on recent developments in understanding the physical attributes of bread. It particularly emphasises the effects of ingredient substitution with seaweed, processing parameters, and acrylamide formation. It also encompasses aspects, such as kinetic studies. Special attention is given to the integration of seaweed in bread production. Additionally, it addresses the challenges faced in this field and offers prospects for future research.
Comparing the response of the indigenous microbial community to crude oil amendment in oxic versus hypoxic conditions
Authors: Griffiths Z. G. , Putt Andrew D. , Miller J. I. , Campa Maria Fernanda , Joyner Dominique C. , Pelz O. , Garajayeva Nargiz , Ceccopieri M. , Gardinali P. , Hazen Terry C.
Published: December 2023

Introduction

The Caspian Sea is the world’s largest landlocked saline lake which lies between Europe and Asia. This region is particularly known for its large-scale oil reserves, pipelines, and drilling activities, which have contributed to the environmental decline of this lake. In addition to pollution from the petroleum industry, drainage from various river basins brings an influx of residential, industrial, and agricultural effluents that induce eutrophication and hypoxic conditions in deeper, colder waters, creating an oxygen gradient. The temperature and oxygen stratification in this environment has presented a unique opportunity to investigate the potential of the biodegradative processes carried out by the indigenous microbial community. We believe these indigenous microbes possess different metabolic capabilities to degrade oil as they adapted to declining oxygen concentrations and temperatures with increasing depths over a prolonged period. Hence, community structure and composition will vary with depth.

Methods

Microcosms were set up to observe the indigenous microbial reaction after a 60 ppm native crude oil amendment over 115 days. Surface water microcosms were incubated at 28ºC and aerated while deep water microcosms were incubated at 8ºC under anaerobic conditions. These two environmental conditions represent the temperature and oxygen extremes along the gradient and were selected as we try to simulate the indigenous community’s response to this oil contamination. DNA was extracted and amplified from these microcosms and sequenced. Bioinformatic analysis was performed to track changes in the abundance of taxa present and biodiversity over different time points to show the progression of community structure.

Results

All microcosms showed the presence of hydrocarbon-degrading phyla, whose presence is consistent with other reports from oil-enriched environments. However, distinct communities were observed in oxic versus hypoxic microcosms.

Conclusion

Orders of Bacteria related to sulfate and nitrogen cycling were found in hypoxic microcosms, indicating a possible mechanism for the anaerobic biodegradation of crude oil. GC-MS analysis of initial and final microcosms also provided evidence of degradation of hydrocarbon fractions in both warm, oxic and cold, hypoxic conditions.
Sexual and reproductive health experiences, access to services, and sources of information among university students in Ethiopia
Authors: Chekol Bekalu Mossie , Sheehy Grace , Siraneh Yibeltal
Published: December 2023

Introduction

Adolescence and youth are times of major growth and change that can place young people at elevated risk of poor sexual and reproductive health (SRH) outcomes, particularly when they are living away from home for the first time. Understanding the barriers that young people face when accessing SRH services and information is imperative for addressing their SRH needs; our study explored this topic among university students in Ethiopia. Specifically, we explore university students' SRH experiences, access to services, and preferred sources of information.

Methods

We draw on mixed-methods research conducted in four public universities across Ethiopia in early 2020. A random sample of 822 male and female students completed a cross-sectional survey that explored SRH knowledge, attitudes, experiences, and sources of information. We also conducted 8 focus group discussions with students and 8 key informant interviews across the four universities. Survey data were analyzed using descriptive statistics and we used structural coding and inductive analysis to analyze qualitative data.

Results

The survey data demonstrated that condoms and emergency contraceptive pills were the most used contraceptive methods. Nearly 18% of female students had experienced an unwanted pregnancy, and 14% reported having had an abortion. Approximately one-third of students reported encountering gender-based violence in the past 6 months. Most students preferred receiving SRH information from mass media, and male students were more likely than female students to seek information from friends. Our qualitative findings highlight a lack of comprehensive SRH care available on university campuses, and services that are available are often of poor quality; participants described a lack of privacy, confidentiality and respect when accessing SRH care at school. University students also lack regular opportunities to learn about SRH while on campus, and their preferred sources of information varied widely.

Discussion

Ethiopian university students have considerable unmet demand for SRH services and often face significant barriers to accessing high-quality information and services on campus. Consistent commitment and investment by universities and the government is vital to meeting the SRH needs of young people during this potentially vulnerable time.
Social psychological research on gender, sexuality, and relationships: reflections on contemporary scientific and cultural challenges
Authors: Glick Peter
Published: December 2023

This inaugural article considers two types of challenges – scientific and cultural – facing researchers who study gender, sexualities, and relationships. For the scientific challenges, I focus on the tension between constructing parsimonious theories while simultaneously accounting for the complexity of gender, sexuality, and relationships. I focus on ambivalent sexism theory as an example that illustrates both the advantages and disadvantages of parsimonious theories before turning to a topic for which achieving parsimony has been elusive: gender identity. Finally, I address the current, highly politicized cultural environment, addressing attempts to suppress gender and sexual diversity, as well as to silence teaching and research on these topics.
Muscle specific declines in oxygen saturation during acute ambulation with hands-free and conventional mobility devices
Authors: Bradley Adam P. , Roehl Alexis S. , Smith Joseph , McGrath Ryan , Hackney Kyle J.
Published: December 2023

Disuse is associated with reduced muscle oxygen saturation (SmO2). Improving oxygen delivery to tissues is important for healing, preventing muscle atrophy, and reducing the risk of deep vein thrombosis. Mobility devices are used during disuse periods to ambulate and protect the injured limb. This study examined SmO2 in walking and ambulation with various mobility devices. Thirty-eight participants randomly completed four, ten-minute trials which included: (1) walking, (2) medical kneeling scooter (MKS), (3) hands-free crutch (HFC), and (4) axillary crutch (AC). During each trial, near infrared spectroscopy sensors were placed on the vastus lateralis (VL), biceps femoris (BF), and lateral gastrocnemius (LG) of the right limb. Compared to walking, all mobility devices showed a decline in SmO2 in the VL of ∼10% (mean ± SD; 75% ± 12%–65% ± 17%, P < 0.05). In the BF, SmO2 declined ∼9% in AC compared to walking (76% ± 12%–67% ± 17%, P = 0.025). In the LG, SmO2 declined in AC (64% ± 16%) compared to MKS (70% ± 15%, P = 0.005). There were no differences in LG SmO2 compared to walking (69% ± 13%) in MKS (P > 0.05) or HFC (65% ± 15%, P > 0.05). In young, healthy volunteers, the use of mobility devices altered muscle oxygenation in several muscles. AC reduced muscle oxygenation in the VL, BF, and LG; while MKS and HFC maintained BF and LG muscle oxygenation at a level consistent with ambulatory walking.
Improving Dry Matter Intake Estimates Using Precision Body Weight on Cattle Grazed on Extensive Rangelands
Authors: Menendez Hector Manuel , Brennan Jameson Robert , Ehlert Krista Ann , Parsons Ira Lloyd
Published: December 2023

An essential component required for calculating stocking rates for livestock grazing extensive rangeland is dry matter intake (DMI). Animal unit months are used to simplify this calculation for rangeland systems to determine the rate of forage consumption and the cattle grazing duration. However, there is an opportunity to leverage precision technology deployed on rangeland systems to account for the individual animal variation of DMI and subsequent impacts on herd-level decisions regarding stocking rate. Therefore, the objectives of this study were, first, to build a precision system model (PSM) to predict total DMI (kg) and required pasture area (ha) using precision body weight (BW), and second, to evaluate differences in PSM-predicted stocking rates compared to the traditional herd-level method using initial or estimated mid-season BW. A deterministic model was constructed in both Vensim (version 10.1.2) and Program R (version 4.2.3) to incorporate individual precision BW data into a commonly used rangeland equation using %BW to estimate individual DMI, daily herd DMI, and area (ha) required to meet animal DMI requirements throughout specific grazing periods. Using the PSM, differences in outputs were evaluated using three scenarios: (1) initial BW (business as usual); (2) average mid-season BW; and (3) individual precision BW using data from two precision rangeland experiments conducted at the South Dakota State University Cottonwood Field Station. The data from the two experiments were used to develop PSM case studies. The trial data were collected using precision weight data (SmartScale™) collected from replacement heifers (Case study 1, n = 60) and steers (Case study 2, n = 254) grazing native rangeland. In Case study 1 (heifers), Scenario 1 versus Scenario 3 resulted in an additional 73.41 ha required. Results from Case study 2 indicated an average additional 4.4 ha required per pasture when comparing Scenario 3 versus Scenario 1. Sensitivity analyses resulted in a difference between maximum and minimum simulated values of 27,995 and 4265 kg forage consumed, and 122 and 8.9 pasture ha required for Case studies 1 and 2, respectively. Thus, results from the scenarios indicate an opportunity to identify both under- and over-stocking situations using precision DMI estimates, which helps to identify high-leverage precision tools that have practical applications for enhancing animal and plant productivity and environmental sustainability on extensive rangelands.
Neural Network Method of Controlling Self-Collisions of Multilink Manipulators Based on the Solution of the Classification Problem
Authors: Kramar Vadim , Kramar Oleg , Kabanov Aleksey , Alchakov Vasiliy
Published: December 2023

The problem of self-collisions of manipulators with several links installed on a robot can arise when they work together in one zone. To prevent self-collisions, it is necessary to develop methods for their detection and their subsequent inclusion in control algorithms. This paper proposes an approach for determining the occurrence of self-collisions of manipulators using the Artificial Neural Networks approach. In contrast to the regression problem, this article proposes a classification approach. The effectiveness of the proposed approach was tested on robots with multilink manipulators “Ichtiandr” and SAR-401 and their simulators. Self-collision detection using the proposed method is much faster than using the traditional approach of solving the inverse kinematics problem without loss of accuracy. The problem was solved by constructing various Artificial Neural Networks and then checking the accuracy of the solution. A comparative analysis of Artificial Neural Networks was carried out and as a result, the Artificial Neural Networks approach showing the best accuracy was selected. The problem was solved for a robot with two manipulators. The resulting solution can be extended to a larger number of manipulators installed on the robot.
Fabrication, Crystal Structures, Catalytic, and Anti-Wear Performance of 3D Zinc(II) and Cadmium(II) Coordination Polymers Based on an Ether-Bridged Tetracarboxylate Ligand
Authors: Zhao Zheng-Hua , Zhang Qin , Liu Yu-Feng , Gu Jin-Zhong , Shi Zi-Fa
Published: December 2023

Two 3D Zn(II) and Cd(II) coordination polymers, [Zn2(µ4-dppa)(µ-dpe)(µ-H2O)]n·nH2O (1) and [Cd2(µ8-dppa)(µ-dpe)(H2O)]n (2), have been constructed hydrothermally using 4-(3,5-dicarboxyphenoxy)phthalic acid (H4dppa), 1,2-di(4-pyridyl)ethylene (dpe), and zinc or cadmium chlorides. Both compounds feature 3D network structures. Their structure and topology, thermal stability, catalytic, and anti-wear properties were investigated. Particularly, excellent catalytic performance was displayed by zinc(II)-polymer 1 in the Knoevenagel condensation reaction at room temperature.
Trends in Atmospheric CO2 Fertilization Effects with Stand Age Based on Tree Rings
Authors: Chen Yanxi , Wang Bin , Li Mingze , Kong Xiangqi , Bian Shaojie
Published: December 2023

The increase in global carbon emissions has intensified the effects of CO2 fertilization on the carbon cycle. CO2 fertilization is shaped by several factors, including the physiological differences among trees of varied forest ages and types, as well as the influence of different climatic conditions. It is essential to investigate the differences in CO2 fertilization effects across diverse climate zones and delve into the association between these effects and forest age and type. Such exploration will deepen our knowledge of forest responses to environmental changes. This study used annual ring width data from the International Tree-Ring Data Bank, employing the generalized additive mixed models and the Random Forest model to discern the pattern of the CO2 fertilization effect concerning forest age in the Northern Hemisphere. This study also explored the variations in the effect of CO2 fertilization across unique climate zones and the disparities among various forest types within the same climatic zone. The results indicated a link between forest age and the CO2 fertilization effect: it tends to increase in sapling forests and middle-aged forests and diminish in mature forests. Warmer, drier environments had a more marked effect of increased CO2 on tree fertilization. Additionally, coniferous forests demonstrated a more substantial CO2 fertilization effect than broadleaf forests, and deciduous needle-leaf forests surpassed evergreen needle-leaf forests in this regard. This research is pivotal in understanding the shifting patterns of CO2 fertilization effects and how forests respond to atmospheric changes.
Effect of Different Macronutrient Supply Levels on the Drought Tolerance of Rainfed Grass Based on Biomass Production, Water Use Efficiency and Macroelement Content
Authors: Ragályi Péter , Szabó Anita , Rékási Márk , Csathó Péter , Csontos Péter
Published: December 2023

Water shortage, one of the main limiting factors for plant growth and development, can be alleviated by an adequate nutrient supply. The effect of different nitrogen (N), phosphorus (P) and potassium (K) supply levels and their combinations was examined in different rainfall supply periods (wet, normal, dry) on a grass sward in a field experiment. Dry and fresh aboveground biomass production were primarily increased by the N–rainfall supply interaction, from 0.739 to 6.51 and from 1.84 to 21.8 t ha−1, respectively, but the P–rainfall supply and N–P interactions and K treatment all had significant effects. Dry matter content was primarily influenced by the N–rainfall supply interaction, increasing in response to N in dry periods and declining in wet periods. Water use efficiency (WUE) was increased by the N–rainfall supply interaction from 28.3 to 127 kg ha−1 mm−1, but the N–P interaction had a similarly strong effect, and K treatment increased it in the dry period. The N, P and K contents of the aboveground biomass were increased by treatment with the corresponding element, but were also influenced by rainfall supply. The increase in biomass, mainly due to N treatment, caused the dilution of the P and K contents in grass in treatments poorly supplied with P and K. Biomass production and WUE were significantly improved up to a dose of 200 kg ha−1 year−1 of N, up to a supply level of 153 mg kg−1 of P2O5, and 279 mg kg−1 of K2O measured in the soil. Treating grass with the N, P and K macroelements may effectively increase biomass production and water use efficiency, but above a certain level their application is unnecessary.
Asymmetries of Left and Right Adrenal Glands in Neural Innervation and Glucocorticoids Production
Authors: Saxu Rengui , Yang Yong , Gu Harvest F.
Published: December 2023

The adrenal gland is paired peripheral end organs of the neuroendocrine system and is responsible for producing crucial stress hormones from its two functional compartments, the adrenal cortex, and the adrenal medulla under stimuli. Left–right asymmetry in vertebrates exists from the central nervous system to peripheral paired endocrine glands. The sided difference in the cerebral cortex is extensively investigated, while the knowledge of asymmetry of paired endocrine glands is still poor. The present study aims to investigate the asymmetries of bilateral adrenal glands, which play important roles in stress adaptation and energy homeostasis via steroid hormones produced from the distinct functional zones. Left and right adrenal glands from male C57BL/6J mice were initially histologically analyzed, and high-throughput RNA sequencing was then used to detect the gene transcriptional difference between left and right adrenal glands. Subsequently, the enrichment of functional pathways and ceRNA regulatory work was validated. The results demonstrated that the left adrenal gland had higher tissue mass and levels of energy expenditure, whereas the right adrenal gland appeared to be more potent in glucocorticoid secretion. Further analysis of adrenal stem/progenitor cell markers predicted that Shh signaling might play an important role in the left–right asymmetry of adrenal glands. Of the hub miRNAs, miRNA-466i-5p was identified in the left–right differential innervation of the adrenal glands. Therefore, the present study provides evidence that there are asymmetries between the left and right adrenal glands in glucocorticoid production and neural innervation, in which Shh signaling and miRNA-466i-5p play an important role.
Interplay between the Glymphatic System and the Endocannabinoid System: Implications for Brain Health and Disease
Authors: Osuna-Ramos Juan F. , Camberos-Barraza Josué , Torres-Mondragón Laura E. , Rábago-Monzón Ángel R. , Camacho-Zamora Alejandro , Valdez-Flores Marco A. , Angulo-Rojo Carla E. , Guadrón-Llanos Alma M. , Picos-Cárdenas Verónica J. , Calderón-Zamora Loranda , Magaña-Gómez Javier A. , Norzagaray-Valenzuela Claudia D. , Cárdenas-Torres Feliznando I. , De la Herrán-Arita Alberto K.
Published: December 2023

The intricate mechanisms governing brain health and function have long been subjects of extensive investigation. Recent research has shed light on two pivotal systems, the glymphatic system and the endocannabinoid system, and their profound role within the central nervous system. The glymphatic system is a recently discovered waste clearance system within the brain that facilitates the efficient removal of toxic waste products and metabolites from the central nervous system. It relies on the unique properties of the brain’s extracellular space and is primarily driven by cerebrospinal fluid and glial cells. Conversely, the endocannabinoid system, a multifaceted signaling network, is intricately involved in diverse physiological processes and has been associated with modulating synaptic plasticity, nociception, affective states, appetite regulation, and immune responses. This scientific review delves into the intricate interconnections between these two systems, exploring their combined influence on brain health and disease. By elucidating the synergistic effects of glymphatic function and endocannabinoid signaling, this review aims to deepen our understanding of their implications for neurological disorders, immune responses, and cognitive well-being.
Molecular and Cellular Mechanisms of Epilepsy 2.0
Authors: Zaitsev Aleksey V.
Published: December 2023

Epilepsy is a prevalent neurological disorder [...]
Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning
Authors: Sanderson Jacob , Mao Hua , Abdullah Mohammed A. M. , Al-Nima Raid Rafi Omar , Woo Wai Lok
Published: December 2023

In the face of increasing flood risks intensified by climate change, accurate flood inundation mapping is pivotal for effective disaster management. This study introduces a novel explainable deep learning architecture designed to generate precise flood inundation maps from diverse satellite data sources. A comprehensive evaluation of the proposed model is conducted, comparing it with state-of-the-art models across various fusion configurations of Multispectral Optical and Synthetic Aperture Radar (SAR) images. The proposed model consistently outperforms other models across both Sentinel-1 and Sentinel-2 images, achieving an Intersection Over Union (IOU) of 0.5862 and 0.7031, respectively. Furthermore, analysis of the different fusion combinations reveals that the use of Sentinel-1 in combination with RGB, NIR, and SWIR achieves the highest IOU of 0.7053 and that the inclusion of the SWIR band has the greatest positive impact on the results. Gradient-weighted class activation mapping is employed to provide insights into its decision-making processes, enhancing transparency and interpretability. This research contributes significantly to the field of flood inundation mapping, offering an efficient model suitable for diverse applications. This study not only advances flood inundation mapping but also provides a valuable tool for improved understanding of deep learning decision-making in this area, ultimately contributing to improved disaster management strategies.
Combination of Multiple Operando and In-Situ Characterization Techniques in a Single Cluster System for Atomic Layer Deposition: Unraveling the Early Stages of Growth of Ultrathin Al2O3 Films on Metallic Ti Substrates
Authors: Morales Carlos , Mahmoodinezhad Ali , Tschammer Rudi , Kosto Julia , Alvarado Chavarin Carlos , Schubert Markus Andreas , Wenger Christian , Henkel Karsten , Flege Jan Ingo
Published: December 2023

This work presents a new ultra-high vacuum cluster tool to perform systematic studies of the early growth stages of atomic layer deposited (ALD) ultrathin films following a surface science approach. By combining operando (spectroscopic ellipsometry and quadrupole mass spectrometry) and in situ (X-ray photoelectron spectroscopy) characterization techniques, the cluster allows us to follow the evolution of substrate, film, and reaction intermediates as a function of the total number of ALD cycles, as well as perform a constant diagnosis and evaluation of the ALD process, detecting possible malfunctions that could affect the growth, reproducibility, and conclusions derived from data analysis. The homemade ALD reactor allows the use of multiple precursors and oxidants and its operation under pump and flow-type modes. To illustrate our experimental approach, we revisit the well-known thermal ALD growth of Al2O3 using trimethylaluminum and water. We deeply discuss the role of the metallic Ti thin film substrate at room temperature and 200 °C, highlighting the differences between the heterodeposition (<10 cycles) and the homodeposition (>10 cycles) growth regimes at both conditions. This surface science approach will benefit our understanding of the ALD process, paving the way toward more efficient and controllable manufacturing processes.
Bioactivity, Cytotoxicity, and Tribological Studies of Nickel-Free Austenitic Stainless Steel Obtained via Powder Metallurgy Route
Authors: Romanczuk-Ruszuk Eliza , Krawczyńska Agnieszka , Łukaszewicz Andrzej , Józwik Jerzy , Tofil Arkadiusz , Oksiuta Zbigniew
Published: December 2023

In the present study, the bioactivity, cytotoxicity, and tribological properties of a nickel-free austenitic stainless steel produced via the mechanical alloying of elemental iron, chromium, and manganese nitride powders following by hot isostatic pressing was investigated. Powders after 90 h of mechanical alloying were consolidated via hot isostatic pressing at 1150 °C (1425 K) and heat treated at 1175 °C (1448 K) for 1 h in a vacuum with furnace cooling. Tribological tests were performed to determine the resistance of the as-received nickel-free steel. It was noticed that applying heat treatment after hot isostatic pressing decreases the average friction coefficient and wear rate of the austenitic steel. An immersion test in a simulated body fluid for 28 days at 37 ± 1 °C has been used to determine the biocompatibility of the tested material. The SEM-EDS analysis allowed us to characterise the morphology of the films and the elements of the steel on the thin-film layer. Elements typical of apatite (calcium and phosphorus) were detected on the surface of the sample. Cellular toxicity tests showed no significant toxic side effects for Saos-2 human osteosarcoma cells and the number of Saos-2 human osteosarcoma cells on the nickel-free steel was greater than on the 316LV grade steel.
Focal Cerebral Ischemia Induces Global Subacute Changes in the Number of Neuroblasts and Neurons and the Angiogenic Factor Density in Mice
Authors: Pilipenko Vladimirs , Dzirkale Zane , Rozkalne Rebeka , Upite Jolanta , Hellal Farida , Plesnila Nikolaus , Jansone Baiba
Published: December 2023

Background and Objectives: Dissecting the complex pathological cascade of an ischemic stroke in preclinical models is highly warranted to understand the course of this disease in humans. Neurogenesis and angiogenesis are integral for post-stroke recovery, yet it is not clear how these processes are altered months after an ischemic stroke. In this study, we investigated the changes that take place subacutely after focal cerebral ischemia in experimental adult male mice. Materials and Methods: Male 12-week-old C57BL/6 mice underwent a 60 min long fMCAo or sham surgery. Two months after the procedure, we examined the immunohistochemistry to assess the changes in neuroblast (DCX) and differentiated neuron (NeuN) numbers, as well as the density of the pro-angiogenic factor VEGF. Results: We found decreased neuroblast numbers in both brain hemispheres of the fMCAo mice: by more than 85% in the dentate gyrus and by more than 70% in the subventricular zone. No neuroblasts were found in the contralateral hemisphere of the fMCAO mice or the sham controls, but a small population was detected in the ipsilateral ischemic core of the fMCAo mice. Intriguingly, the number of differentiated neurons in the ipsilateral ischemic core was lower by 20% compared to the contralateral hemisphere. VEGF expression was diminished in both brain hemispheres of the fMCAo mice. Conclusions: Our current report shows that focal cerebral ischemia induces changes in neuroblast numbers and the pro-angiogenic factor VEGF in both cerebral hemispheres 2 months after an fMCAo in mice. Our data show that focal cerebral ischemia induces a long-term regenerative response in both brain hemispheres.
The Inhibitory Effect of KerraTM, KSTM, and MinozaTM on Human Papillomavirus Infection and Cervical Cancer
Authors: Choowongkomon Kiattawee , Choengpanya Khuanjarat , Pientong Chamsai , Ekalaksananan Tipaya , Talawat Sulak , Srathong Pussadee , Chuerduangphui Jureeporn
Published: December 2023

Background and Objectives: Cervical cancer is one of the most common types of frequently found cancers in Thailand. One of the causative agents is the infection of the high-risk human papillomavirus (HPV) type 16 and 18. Traditional medicines are rich sources of bioactive compounds which are a valuable source for the development of novel cancer therapies. In this study, the therapeutic effects of 3 traditional medicines, KerraTM, KSTM, and MinozaTM, were studied on HeLa and CaSki cells. Materials and Methods: The effects of KerraTM, KSTM, and MinozaTM on cancer cells were evaluated through cytotoxicity and cell death assays. The infection assay using HPV-16 pseudovirus was also carried out. Results: All traditional medicines efficiently suppressed cell growths of HeLa and CaSki, with KerraTM being the most potent anticancer agent followed by KSTM and MinozaTM. KerraTM at 158 µg/mL and 261 µg/mL significantly increases the percentage inhibition of the HPV-16 pseudovirus infection in a pre-attachment step in a dose-dependent manner, while KSTM at 261 µg/mL efficiently inhibited viral infection in both pre-attachment and adsorption steps. However, KerraTM, KSTM, and MinozaTM at subtoxic concentrations could not reduce the viral E6 mRNA expressions of HPV-16 and HPV-18. Cell death assay by acridine orange/ethidium bromide showed that KerraTM increased population of dead cells in dose-dependent manner in both CaSki and HeLa. The percentage of secondary necrosis in KerraTM-treated CaSki was higher than that of HeLa cells, while the percentage of late apoptotic cells in HeLa was higher than that of CaSki, indicating that HeLa was more susceptible to KerraTM than CaSki. For KSTM and MinozaTM, these extracts at 250 µg/mL promoted autophagy over cell death. At 500 µg/mL, the percentage of dead cells in KerraTM was higher than that of KSTM and MinozaTM. Conclusions: KerraTM is a potent traditional medicine for promoting cancer cell death. KerraTM is possibly useful in the prevention and treatment of cervical cancer. Further investigation will be carried out to gain a better understanding of the biochemical mechanism and the pharmacological activity underlying this effect.
A 77 GHz Power Amplifier with 19.1 dBm Peak Output Power in 130 nm SiGe Process
Authors: Zhou Peigen , Yan Pinpin , Chen Jixin , Chen Zhe , Hong Wei
Published: December 2023

This article reports a two-stage differential structure power amplifier based on a 130 nm SiGe process operating at 77 GHz. By introducing a tunable capacitor for amplitude and phase balance at the center tap of the secondary coil of the traditional Marchand balun, the balun achieves amplitude imbalance less than 0.5 dB and phase imbalance less than 1 degree within the operating frequency range of 70–85 GHz, which enables the power amplifier to exhibit comparable output power over a wide operating frequency band. The power amplifier, based on a designed 3-bit digital analog convertor (DAC)-controlled base bias current source, exhibits small signal gain fluctuation of less than 5 dB and saturation output power fluctuation of less than 2 dB near the 80 GHz frequency point when the ambient temperature varies in the range of −40 °C to 125 °C. Benefiting from the aforementioned design, the tested single-path differential power amplifier exhibits a small signal gain exceeding 16 dB, a saturation output power exceeding 18 dBm, and a peak saturation output power of 19.1 dBm in the frequency band of 70–85 GHz.
Neurodevelopment and Dietary Intake in Toddlers—A Cross-Sectional Study from the Healthy Children 2021 Project
Authors: Cunha-Rodrigues Micaela , Rosário Rafaela , Duarte Ana , Silva Maria José , Augusto Cláudia , Rodrigues Mónica , Padrão Patrícia , Moreira Pedro
Published: December 2023

Little is known about the potential associations between neurodevelopment, dietary diversity and food processing in the toddler period. This study aimed to estimate the association between these dietary quality dimensions and neurodevelopment in toddlers. Data for this cross-sectional analysis came from the Healthy Children 2021 project and included 212 toddlers (51.9% females, aged 12–36 months) from 15 Portuguese childcare centers. Neurodevelopment was assessed through Bayley Scales of Infant and Toddler Development. Dietary intake was gathered by a two-day non-consecutive dietary recall. The food items were categorised with NOVA classification. Dietary diversity was explored through Minimum Dietary Diversity (MDD). Logistic regression models adjusted for potential confounders were performed. Girls with a higher energy contribution of unprocessed/minimally processed foods and with an above median MDD score had higher odds of achieving a higher neurodevelopment score (aOR:1.04; 95%CI 1.01; 1.08 and aOR:2.26; 95%CI 1.01; 5.06, respectively); no significant association was observed in boys. Our findings suggest that these dietary dimensions are associated with a higher neurodevelopment in toddler girls. This should be further studied as a possible early link between dietary factors and neurodevelopment. Promotion of healthy eating can be promising in improving neurocognitive development and might help to introduce public health recommendations for toddlers’ nutrition.
Influence of Food Habits and Participation in a National Extracurricular Athletics Program on Body Weight within a Pair-Matched Sample of Polish Adolescents after One Year of Intervention—#goathletics Study
Authors: Głąbska Dominika , Guzek Dominika , Skolmowska Dominika , Adamczyk Jakub Grzegorz , Nałęcz Hanna , Mellová Blanka , Żywczyk Katarzyna , Baj-Korpak Joanna , Gutkowska Krystyna
Published: December 2023

The COVID-19 pandemic reduced the physical activity level and commitment in adolescents, which has resulted in a body weight increase, and the World Health Organization (WHO) emphasizes that this negative trend must be now counteracted. The aim of this study was to assess the influence of food habits and participation in a national extracurricular athletics program (Athletics for All) on body weight within a pair-matched sample of Polish adolescents after one year of intervention. The #goathletics Study was conducted in a population of Polish adolescents within two pair-matched groups: 506 adolescents aged 10–14, including 281 female and 225 male adolescents, regularly participating in Athletics for All program for at least 9 months (one school year) (intervention group), and a pair-matched control group (matched taking into account city, gender, and age). The #goathletics Study included the assessment of the body weight, which was conducted based on the growth reference charts for Body Mass Index (BMI), and waist circumference to verify central fatness. Athletics for All participation and food habits were verified as determinants of body weight, while food habits were assessed using the validated Adolescents’ Food Habits Checklist (AFHC). While compared the intervention group and control group, statistically significant differences were observed for body weight, BMI, and waist circumference, both for crude and relative values, with adolescents participating in the Athletics for All program presenting a lower risk of excessive body weight and central fatness (p < 0.05), while, compared to sub-groups stratified by AFHC score, no statistically significant differences in general anthropometric characteristics were observed (p > 0.05). While the body weight centile, height centile, BMI centile and waist-to-height ratio (WHtR) were assessed as the resultant variables, it was revealed that participation in the Athletics for All program is the only influencing factor in multi-factor analysis of variance (ANOVA) for body weight centile (F = 21.44; p < 0.0001) and BMI centile (F = 47.98; p < 0.0001), but for height centile and WHtR, none of the assessed factors influenced these variables. It was concluded that regularly participating in the Athletics for All program for at least 9 months was the only determinant of a lower risk of excessive body weight in adolescents, with declared food habits and gender not being significant.
Fasting and Cognitive Impairment
Authors: Tagliafico Luca , Nencioni Alessio , Monacelli Fiammetta
Published: December 2023

Fasting is a nutritional practice involving complete food restriction for a varying length of time [...]
Betanin from Beetroot (Beta vulgaris L.) Regulates Lipid Metabolism and Promotes Fat Browning in 3T3-L1 Adipocytes
Authors: Lee Ho Seon , Choi Seung Min , Lim Sung Ho , Choi Chang-Ik
Published: December 2023

Fat browning, which converts white adipose tissue to brown, has attracted attention as a promising strategy for the treatment of obesity. Betanin (BT) has been reported to have potential anti-obesity activity. 3T3-L1 cells were differentiated for 7 days during BT treatment. The BT concentration range for the study was determined using an MTT assay, and lipid accumulation was evaluated by Oil-Red-O staining. The expression of protein level was analyzed by Western blot. Immunofluorescence images were performed with confocal microscopy to visually show the amount and location of thermogenesis factor uncoupling protein1 (UCP1) and mitochondria. qRT-PCR was performed to evaluate mRNA expression. BT inhibited lipid accumulation and increased the expression of UCP1, peroxisome-proliferator-activated receptor gamma (PPARγ), and PPARγ coactivator-1 alpha (PGC-1α). In addition, the increases in beige adipocyte-specific markers were observed, supporting BT-mediated browning of the fat tissue. The UCP1 was localized in the inner membrane of the mitochondria, and its expression was associated with mitochondrial activation. Consistent with this, the mRNA expression of mitochondrial biogenesis markers increased in 3T3-L1 cells after BT treatment. Immunofluorescence staining also indicated an increased number of mitochondria and UCP1, respectively. Moreover, BT inhibited lipogenesis and enhanced lipolysis and fatty acid oxidation. This mechanism has been suggested to be mediated by an adenosine monophosphate-activated protein kinase (AMPK) pathway. BT induces fat browning and regulates lipid metabolism via the AMPK-mediated pathway in 3T3-L1 cells, suggesting that BT can be a promising candidate for controlling obesity.
Optimizing Back-Propagation Neural Network to Retrieve Sea Surface Temperature Based on Improved Sparrow Search Algorithm
Authors: Ji Changming , Ding Haiyong
Published: December 2023

Sea surface temperature (SST) constitutes a pivotal physical parameter in the investigation of atmospheric, oceanic, and air–sea exchange processes. The retrieval of SST through satellite passive microwave (PMW) technology effectively mitigates the interference posed by cloud cover, addressing a longstanding challenge. Nevertheless, conventional functional representations often fall short in capturing the intricate interplay of factors influencing SST. Leveraging neural networks (NNs), known for their adeptness in tackling nonlinear and intricate problems, holds great promise in SST retrieval. Nonetheless, NNs exhibit a high sensitivity to initial weights and thresholds, rendering them susceptible to local optimization issues. In this study, we present a novel machine learning (ML) approach for SST retrieval using PMW measurements, drawing from the Sparrow Search Algorithm (SSA) and Back-Propagation neural network (BPNN) methodologies. The core premise involves the optimization of the BP neural network’s initial weights and thresholds through an enhanced SSA algorithm employing various optimization strategies. This optimization aims to provide superior parameters for the training of the BP neural network. Employing AMSR2 brightness temperature data, sea surface wind speed data, and buoy SST measurements, we construct the ISSA-BP model for sea surface temperature retrieval. The validation of the ISSA-BP model against the test data is conducted and compared against the multiple linear regression (MLR) model, an unoptimized BP model, and an unimproved SSA-BP model. The results manifest an impressive R-squared (R2) value of 0.9918 and a root-mean-square error (RMSE) of 0.8268 °C for the ISSA-BP model, attesting to its superior accuracy. Furthermore, the ISSA-BP model was applied to retrieve global sea surface temperatures on 15 July 2022, yielding an R2 of 0.9926 and an RMSE of 0.7673 °C for the OISST product on the same day, underscoring its excellent concordance. The results indicate that SST can be efficiently and accurately retrieved using the model proposed in this paper, based on satellite PMW measurements. This finding underscores the potential of employing machine learning algorithms for SST retrieval and offers a valuable reference for future studies focusing on the retrieval of other sea surface parameters.
Sustainable Consumer Behavior: Bibliometric Analysis for Future Research Direction in Muslim Fashion Context
Authors: Ruslan Budiana , Maulina Erna , Tahir Rusdin , Rivani  , Muftiadi R. Anang
Published: December 2023

Although previous studies have offered comprehensive overviews of consumer behavior or sustainable fashion, research specifically focusing on Muslim fashion is relatively limited. In response to the leading concern of sustainability within the global fashion industry, our study is motivated by a unique focus on the evolving landscape of Muslim fashion, aiming to unravel the complex dynamics that define sustainable consumer behavior within this distinctive context. The knowledge structure, evolution, and research trends in this field using bibliometric analysis provide insights for both academics and practitioners. Using the Biblioshiny and VOSviewer tools, 90 articles from the years 2015 to 2023 will be examined as part of the methodology. This method reveals notable writers, publications, and important statistical elements, such as trends in publication and citation. In order to provide a comprehensive picture of the research landscape, the study also uses scientific mapping techniques like co-citation analysis, co-occurrence analysis, bibliographic coupling, and enrichment bibliometrics. The findings provide recommendations for future research directions and shed light on the current state of research in sustainable consumer behavior within the context of Muslim fashion. This study makes a contribution by synthesizing previous research and offering a distinctive viewpoint on sustainable consumer behavior in the Muslim fashion community.