bluuebunny/crossref_metadata_2025 huggingface dataset:
Can Artificial Intelligence Aid Diagnosis by Teleguided Point-of-Care Ultrasound? A Pilot Study for Evaluating a Novel Computer Algorithm for COVID-19 Diagnosis Using Lung Ultrasound
Authors: Sultan Laith R. , Haertter Allison , Al-Hasani Maryam , Demiris George , Cary Theodore W. , Tung-Chen Yale , Sehgal Chandra M.
Published: October 2023

With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where telemedicine and point-of-care ultrasound (POCUS) merge to create this new scope. Teleguided POCUS can minimize staff exposure while preserving patient safety and oversight during bedside procedures. In this paper, we propose the use of teleguided POCUS supported by AI technologies for the remote monitoring of COVID-19 patients by non-experienced personnel including self-monitoring by the patients themselves. Our hypothesis is that AI technologies can facilitate the remote monitoring of COVID-19 patients through the utilization of POCUS devices, even when operated by individuals without formal medical training. In pursuit of this goal, we performed a pilot analysis to evaluate the performance of users with different clinical backgrounds using a computer-based system for COVID-19 detection using lung ultrasound. The purpose of the analysis was to emphasize the potential of the proposed AI technology for improving diagnostic performance, especially for users with less experience.
Solubility of Lanthanum in Liquid Alloys with Gallium and Indium
Authors: Dedyukhin Alexander S. , Shchetinskiy Andrey V. , Volkovich Vladimir A. , Yamschchikov Leonid F.
Published: October 2023

The solubility of lanthanum in indium and Ga–In alloys containing 21.8, 40 and 70 wt. % In was determined experimentally at temperatures up to 1081 K. The low temperature limit depended on the melting point of the alloy. The solubility was measured using isothermal saturation and high-temperature filtration methods. The phase composition of solid intermetallic compounds formed in the ternary La–Ga–In systems of various compositions was determined by X-ray diffraction. Activity coefficients of lanthanum in the alloys based on gallium, indium and three Ga–In mixtures (21.8, 40 and 70 wt. % In) were calculated. Temperature dependencies of thermodynamically possible separation factors for the uranium/lanthanum couple in “LiCl–KCl–CsCl melt–liquid alloy” systems were derived for various gallium–indium alloys.
Molecular Anatomy of Prostate Cancer and Its Implications in Active Surveillance and Early Intervention Strategies
Authors: Figiel Sandy , Cancel-Tassin Géraldine , Mills Ian G. , Lamb Alastair D. , Fromont Gaelle , Cussenot Olivier
Published: October 2023

Understanding prostate carcinogenesis is crucial not only for identifying new treatment targets but also for developing effective strategies to manage the asymptomatic form of the disease. There is a lack of consensus about predicting the indolent form of the disease prostate cancer, leading to uncertainties regarding treatment initiation. This review aims to enhance the assessment and management of early prostate cancer by providing a comprehensive picture of the molecular anatomy of the prostate, synthesising current evidence, highlighting knowledge gaps, and identifying future directions. It presents evidence for the efficacy of active surveillance as an alternative treatment strategy and its potential benefits in specific patient groups through androgen receptor disruption. Overall, an improved understanding of prostate carcinogenesis and its molecular underpinnings can pave the way for tailored and precise management approaches for this common cancer. Further development and validation of molecule-based assessment tools are needed. Integrating genomic, proteomic, and phenotypic models, as well as functional approaches, can help predict outcomes. This facilitates selecting candidates for active surveillance and targeting interventions for higher-risk cases, contributing to more precise management strategies.
Synthesis and Research of Critical Parameters of Bi-HTSC Ceramics Based on Glass Phase Obtained by IR Heating
Authors: Uskenbaev Daniyar , Nogai Adolf , Uskenbayev Alisher , Zhetpisbayev Kairatbek , Nogai Eleonora , Dunayev Pavel , Zhetpisbayeva Ainur , Nogai Artur
Published: October 2023

In this paper influence of the excess Ca and Cu cations on the critical temperature (Tc) and critical transport current density (Jc) of high-temperature superconducting ceramics of the compositions (HTSC) Bi1.6Pb0.4Sr2Ca2.1Cu3.1Oy, Bi1.6Pb0.4Sr2Ca2.25Cu3.25Oy and Bi1.6Pb0.4Sr2Ca3Cu4Oy synthesized by the glass-ceramic method has been studied. The synthesis of superconducting ceramics was carried out on the basis of the glass phase, obtained by ultra-fast quenching of the melt. Melting of the mixture of starting components was carried out without the use of a crucible under the influence of IR radiant heating. Analysis of the elemental composition of the samples of the initial precursors showed a significant deviation from stoichiometry in oxygen (increase), as well as a decrease in calcium content. The synthesis of HTSC ceramics was carried out at a temperature of 849–850 °C for 96 h with intermediate grinding every 24 h. Studies of the phase composition of ceramic samples by X-ray diffraction have shown that HTSC ceramics consist only of a superconducting high-temperature phase Bi-2223. Studies of current-carrying characteristics by the four-point probe method according to the criterion of 1 µV/cm2 have shown that high-temperature superconducting ceramics of the compositions Bi1.6Pb0.4Sr2Ca2.1Cu3.1Oy, Bi1.6Pb0.4Sr2Ca2.25Cu3.25Oy and Bi1.6Pb0.4Sr2Ca3Cu4Oy have an increased density of critical transport current of 9.12 A/cm2, 7.62 A/cm2 and 7.26 A/cm2, respectively. At the same time, it was found that with a decrease in the content of Ca and Cu cations in HTSC ceramics, an increase in the critical current density is observed.
SARS-CoV-2: An Update on the Biological Interplay with the Human Host
Authors: Lippi Giuseppe , Sanchis-Gomar Fabian , Mattiuzzi Camilla , Henry Brandon M.
Published: October 2023

Coronavirus Disease 2019 (COVID-19) is an infectious respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease, first identified in the Chinese city of Wuhan in November 2019, has since spread worldwide, is the latest human pandemic and has officially infected over 800 million people and has caused nearly seven million deaths to date. Although SARS-CoV-2 belongs to the large family of coronaviruses, it has some unique biological characteristics in its interplay with the human host. Therefore, this narrative review aims to provide an up-to-date overview of the structure of the virus, incubation and shedding in the human host, infectivity and biological evolution over time, as well as the main mechanisms for invading human host cells and replicating within. We also proffer that ongoing epidemiological surveillance of newly emerged variants must always be accompanied by biological studies aimed at deciphering new advantageous traits that may contribute to increasing virulence and pathogenicity, such that the most appropriate strategies for establishing a (relatively) safe coexistence with the human host can be implemented.
The Quality of Life of Caregivers of People with Type 2 Diabetes Estimated Using the WHOQOL-BREF Questionnaire
Authors: Kolarić Vilma , Rahelić Valentina , Šakić Zrinka
Published: October 2023

Type 2 diabetes (T2D) poses a growing global health challenge, impacting patients’ and their caregivers’ well-being. This study investigates the influence of T2D complications on caregivers’ quality of life (QoL) using the WHOQOL-BREF questionnaire, accounting for factors like age, disease duration, and control. The research involved 382 T2D patients and 300 caregivers from Vuk Vrhovac University Clinic for Diabetes, Endocrinology, and Metabolic Diseases. The WHOQOL-BREF questionnaire assessed caregivers’ QoL across physical, psychological, social, and environmental domains. Complications, including retinopathy, neuropathy, and kidney disease, were examined for their effects on QoL. Patients’ age impact, gender differences, and disease duration were analyzed. T2D complications had varying impacts on different QoL domains. Caregivers of patients with multiple complications showed significant social functioning impairment. Those without complications reported lower psychological health. Age correlated with poorer physical health scores. Female caregivers rated higher in psychological and environmental health. Disease duration and T2D control had no significant impact on caregiver QoL. Caregivers’ concerns included medication adherence and worry about their partner’s health. This study illustrates the delicate interplay between T2D patients and caregivers, highlighting the multifaceted effects of chronic illness. Comprehensive healthcare techniques that address emotional and social components in addition to medical care are critical for improving the well-being of both patients and their caregivers. The findings contribute to a broader understanding of T2D care dynamics, advocating for empathetic and all-encompassing healthcare practices.
Challenges of Pharyngeal Cancer Screening in Lower-Income Countries during Economic and Social Transitions: A Population-Based Analysis
Authors: Kis Andreea M. , Watz Claudia G. , Motofelea Alexandru C. , Chiriac Sorin , Poenaru Marioara , Dehelean Cristina A. , Borza Claudia , Ionita Ioana
Published: October 2023

Background and Objectives: The rate of head and neck cancer (HNC) is expected to increase by 30% by 2030. However, there are many similarities between the symptomatology of a benign and a malign diagnosis; thus, a protocol for conducting a full head and neck examination is of high importance since the absence of adenopathy does not exclude a malignant diagnosis and also a favorable prognosis. Material and methods: The current study presents a retrospective study on 515 adult patients who underwent a biopsy for possible head and neck tumor pathology. Results: The patients identified with cancer were older than the rest of the group, with a higher developing trend in men than in women. However, the top 10 symptomatology patterns were identical in the malign and benign groups, meaning that new HNC may be missed due to the common symptomatology between benign and malign outcomes. Conclusions: The importance of a full ear, nose, and throat (ENT) examination may be of significant relevance for a proper diagnosis that can improve the overall prognosis of a patient with cancer. The absence of routine screening tests and screening guidelines for oral and pharyngeal cancers represents a significant barrier to secondary HNC prevention.
Energy Conversion Optimization Method in Nano-Grids Using Variable Supply Voltage Adjustment Strategy Based on a Novel Inverse Maximum Power Point Tracking Technique (iMPPT)
Authors: Pintilie Lucian Nicolae , Hedeșiu Horia Cornel , Rusu Călin Gheorghe , Teodosescu Petre Dorel , Mărginean Călin Ignat , Salcu Sorin Ionuț , Suciu Vasile Mihai , Szekely Norbert Csaba , Păcuraru Alexandru Mădălin
Published: October 2023

This paper introduces a novel power supply voltage adjustment strategy that can determine the optimum voltage value based on the amount of absorbed power. The novel automatic voltage adjustment technique was called inverse maximum power point tracking (iMPPT). The proposed control strategy consists of a modified maximum power point tracking (MPPT) algorithm (more precisely the P&O method). In this case, the modified MPPT technique establishes the minimum value of the input absorbed power of a consumer load served by a switched-mode power supply (SMPS). The iMPPT adjusts the input power by modifying the input voltage of the main power supply. The served loads are connected to the variable power supply via an interfacing power electronics converter that performs the automatic voltage regulation function (AVR). The optimal value of the input voltage level can be achieved when the input power of the automatic voltage regulation converter is at a minimum. In that case, the energy conversion efficiency ratio is at a maximum, and the overall losses related to the front-end power stage are at a minimum. The proposed technique can also be considered a Maximum Efficiency Tracking (MET) method. By performing the inverse operation of a maximum power point tracking algorithm on the input demanded power of a switched mode power supply (SMPS), the optimum input voltage level can be determined when the maximum energy conversion ratio (related to a given load level) is achieved. The novel proposed iMPPT method can improve the energy conversion ratio from 85% up to approximately 10% in the case of an output power level of 800 W served by a synchronous buck converter at the input voltage level of 350 V. The total amount of recovered power in this situation can be approximately 100 W.
A Literature Review of the Positive Displacement Compressor: Current Challenges and Future Opportunities
Authors: Lu Kui , Sultan Ibrahim A. , Phung Truong H.
Published: October 2023

Positive displacement compressors are essential in many engineering systems, from domestic to industrial applications. Many studies have been devoted to providing more insights into the workings and proposing solutions for performance improvements of these machines. This study aims to present a systematic review of published research on positive displacement compressors of various geometrical structures. This paper discusses the literature on compressor topics, including leakage, heat transfer, friction and lubrication, valve dynamics, port characteristics, and capacity control strategies. Moreover, the current status of the application of machine learning methods in positive displacement compressors is also discussed. The challenges and opportunities for future work are presented at the end of the paper.
Modeling Transmission Dynamics of Tuberculosis–HIV Co-Infection in South Africa
Authors: Adeyemo Simeon , Sangotola Adekunle , Korosteleva Olga
Published: October 2023

South Africa has the highest number of people living with the human immunodeficiency virus (HIV) in the world, accounting for nearly one in five people living with HIV globally. As of 2021, 8 million people in South Africa were infected with HIV, which is 13% of the country’s total population. Approximately 450,000 people in the country develop tuberculosis (TB) disease every year, and 270,000 of those are HIV positive. This suggests that being HIV positive significantly increases one’s susceptibility to TB, accelerating the spread of the epidemic. To better understand the disease burden at the population level, a Susceptible–Infected–Recovered–Dead (SIRD) TB–HIV co-infection epidemic model is presented. Parameter values are estimated using the method of moments. The disease-free equilibrium and basic reproduction number of the model are also obtained. Finally, numeric simulations are carried out for a 30-year period to give insights into the transmission dynamics of the co-infection.
Exploring the Growing Importance of Forensic Geoarchaeology in Italy
Authors: Barone Pier Matteo , Di Maggio Rosa Maria
Published: October 2023

Forensic geoarchaeology provides a comprehensive and interdisciplinary approach to investigating crime scenes. This field combines the techniques and methods of archaeology, geology, geophysics, and remote sensing, to provide a more comprehensive picture of the events that have occurred at a site. Forensic geoarchaeologists can not only provide valuable information about the context of a crime scene but also help reconstruct past events and collect relevant information about missing persons. Moreover, the use of geospatial technologies and the analysis of evidence together with a vast range of scientific methods and techniques help forensic geoarchaeologists provide compelling and reliable evidence before courts and law enforcement agencies. Although some reticence still prevails among Italians about recognizing forensic geoarchaeology as a fundamental discipline vis-a-vis crime scenes, the recognition of its vital significance is growing in Italy, thanks to the decision of the Italian Standards Organization (UNI) to standardize it alongside other fields of criminalistic expertise.
Trends of Cause-Specific Mortality and Association with Economic Status, Education Level, as Well as Health Investment among Adolescents Aged 10 to 24 Years in China, 2004–2019
Authors: Liu Yunfei , Zhong Panliang , Dang Jiajia , Shi Di , Cai Shan , Chen Ziyue , Zhang Yihang , Ma Jun , Song Yi
Published: October 2023

Objective: To describe the secular trends of cause-specific mortality among adolescents aged 10 to 24 years from 2004 to 2019 and explore the association between mortality and economic status, education level as well as health investment. Methods: Mortality data of adolescents aged 10 to 24 years were obtained from the national disease surveillance points system. The age-standardized mortality rate (ASMR) was calculated by using the population data from the sixth national population census in 2010. GDP per capita, urbanization rate, illiteracy rate of the population over 15 years old, government education expenditure per capita, number of health service providers per 1000 people, and number of health beds per 1000 people were collected from China’s Economic and Social Big Data Research Platform. Age-period-cohort analysis was used to analyse the net age, period, and cohort effects of mortality among adolescents, while panel data regression was used to explore the association between mortality and economic status, education level as well as health investment. Results: Overall, the ASMR was 28.84 per 100,000 and the top five causes of mortality were road injuries, drowning, intentional self-harm and sequelae, leukaemia, and falls among adolescents aged 10 to 24 years in China in 2019. All-cause mortality declined with an annual percentage change of 4.02% (95% Confidence interval: 3.74% to 4.30%) from 2004 to 2019 yet with persistent differences across different demographic (gender and age) and geographical (urban-rural, and regional) subgroups. Notably, the ASMR for HIV/AIDS in males, lower respiratory infections in urban adolescents, and iron deficiency anaemia as well as cervical cancer in adolescents aged 20 to 24 years showed an increase over time. The multivariate panel data regression showed that the ASMR decreased by 5.18 (3.27, 7.08) per 100,000 for every increase in the number of health beds per 1000 population, but with insignificant association with GDP per capita and illiteracy rate in the total sample. Health beds investment was positively associated with ASMR at almost all subgroups except for adolescents aged 10 to 14 years; GDP per capita increase was helpful to males and rural adolescents while an increasing literacy rate was beneficial for females and adolescents aged 15 to 19 years. Conclusion: Given the persistent differences between subgroups, further investments including improving health services, especially increasing health bed investment, GDP per capita, and reducing the illiteracy rate and concern for adolescents in males, rural areas, the western regions, and aged 15 to 24 years are needed. Additionally, the increased burden of some diseases, such as HIV/AIDS, must be of further concern.
Count Me in, Count Me out: Regulation of the Tooth Number via Three Directional Developmental Patterns
Authors: Fang Zheng , Atukorallaya Devi
Published: October 2023

Tooth number anomalies, including hyperdontia and hypodontia, are common congenital dental problems in the dental clinic. The precise number of teeth in a dentition is essential for proper speech, mastication, and aesthetics. Teeth are ectodermal organs that develop from the interaction of a thickened epithelium (dental placode) with the neural-crest-derived ectomesenchyme. There is extensive histological, molecular, and genetic evidence regarding how the tooth number is regulated in this serial process, but there is currently no universal classification for tooth number abnormalities. In this review, we propose a novel regulatory network for the tooth number based on the inherent dentition formation process. This network includes three intuitive directions: the development of a single tooth, the formation of a single dentition with elongation of the continual lamina, and tooth replacement with the development of the successional lamina. This article summarizes recent reports on early tooth development and provides an analytical framework to classify future relevant experiments.
Nickel(II) and Palladium(II) Complexes with η5:κ1(N)-Coordinated Dicarbollide Ligands Containing Pendant Pyridine Group
Authors: Semyonov Dmitriy K. , Stogniy Marina Yu. , Anufriev Sergey A. , Timofeev Sergey V. , Suponitsky Kyrill Yu. , Sivaev Igor B.
Published: October 2023

A series of C- and B-substituted nido-carborane derivatives with a pendant pyridyl group was prepared. The synthesized compounds were used as ligands in the complexation reactions with bis(triphenylphosphine)nickel(II) and palladium(II) chlorides to give six new metallacomplexes with unusual η5:κ1(N)-coordination of the metal center. The single crystal structures of 1-(NC5H4-2′-S)-1,2-C2B10H11, 1-(NC5H4-2′-CH2S)-1,2-C2B10H11, Cs [7-(NC5H4-2′-CH2S)-7,8-C2B9H11] closo- and nido-carboranes and 3-Ph3P-3-(4(7)-NC5H4-2′-S)-closo-3,1,2-NiC2B9H10 and 3-Ph3P-3-(4(7)-NC5H4-2′-CH2S)-closo-3,1,2-NiC2B9H10 metallacarboranes were determined using single crystal X-ray diffraction.
mTORC1 and SGLT2 Inhibitors—A Therapeutic Perspective for Diabetic Cardiomyopathy
Authors: Saha Sumit , Fang Xianjun , Green Christopher D. , Das Anindita
Published: October 2023

Diabetic cardiomyopathy is a critical diabetes-mediated co-morbidity characterized by cardiac dysfunction and heart failure, without predisposing hypertensive or atherosclerotic conditions. Metabolic insulin resistance, promoting hyperglycemia and hyperlipidemia, is the primary cause of diabetes-related disorders, but ambiguous tissue-specific insulin sensitivity has shed light on the importance of identifying a unified target paradigm for both the glycemic and non-glycemic context of type 2 diabetes (T2D). Several studies have indicated hyperactivation of the mammalian target of rapamycin (mTOR), specifically complex 1 (mTORC1), as a critical mediator of T2D pathophysiology by promoting insulin resistance, hyperlipidemia, inflammation, vasoconstriction, and stress. Moreover, mTORC1 inhibitors like rapamycin and their analogs have shown significant benefits in diabetes and related cardiac dysfunction. Recently, FDA-approved anti-hyperglycemic sodium–glucose co-transporter 2 inhibitors (SGLT2is) have gained therapeutic popularity for T2D and diabetic cardiomyopathy, even acknowledging the absence of SGLT2 channels in the heart. Recent studies have proposed SGLT2-independent drug mechanisms to ascertain their cardioprotective benefits by regulating sodium homeostasis and mimicking energy deprivation. In this review, we systematically discuss the role of mTORC1 as a unified, eminent target to treat T2D-mediated cardiac dysfunction and scrutinize whether SGLT2is can target mTORC1 signaling to benefit patients with diabetic cardiomyopathy. Further studies are warranted to establish the underlying cardioprotective mechanisms of SGLT2is under diabetic conditions, with selective inhibition of cardiac mTORC1 but the concomitant activation of mTORC2 (mTOR complex 2) signaling.
Cytokine Dynamics in Autism: Analysis of BMAC Therapy Outcomes
Authors: Maric Dusan M. , Vojvodic Danilo , Maric Dusica L. , Velikic Gordana , Radomir Mihajlo , Sokolovac Ivana , Stefik Debora , Ivkovic Nemanja , Susnjevic Sonja , Puletic Miljan , Dulic Oliver , Abazovic Dzihan
Published: October 2023

Autism spectrum disorder (ASD) has recently been linked to neuroinflammation and an aberrant immune response within the central nervous system. The intricate relationship between immune response and ASD remains elusive, with a gap in understanding the connection between specific immune mechanisms and neural manifestations in autism. In this study, we employed a comprehensive statistical approach, fusing both overarching and granular methods to examine the concentration of 16 cytokines in the cerebrospinal fluid (CSF) across each autologous bone marrow aspirate concentrate (BMAC) intrathecal administration in 63 male and 17 female autism patients. Following a six-month period post the third administration, patients were stratified into three categories based on clinical improvement: Group 1- no/mild (28 subjects), Group 2—moderate (16 subjects), and Group 3—major improvement (15 subjects). Our integrated analysis revealed pronounced disparities in CSF cytokine patterns and clinical outcomes in autism subjects pre- and post-BMAC transplantation. Crucially, our results suggest that these cytokine profiles hold promise as predictive markers, pinpointing ASD individuals who might not exhibit notable clinical amelioration post-BMAC therapy.
Sustainable Food Packaging with Chitosan Biofilm Reinforced with Nanocellulose and Essential Oils
Authors: Silva Sofia J. , Samba Nsevolo , Mendes José , Pires João R. A. , Rodrigues Carolina , Curto Joana , Gomes Arlindo , Fernando Ana Luísa , Silva Lúcia
Published: October 2023

Active packaging with biobased polymers aim to extend the shelf life of food and to improve the environmental sustainability of the food industry. This new concept was tested with samples of fresh poultry meat wrapped with chitosan reinforced with 2.5% of commercial nanocellulose (NC) incorporating 1% of essential oils (EO) from Aloysia citrodora (ACEO) and Cymbopogon citratus (CCEO). The performance of the bionanocomposites containing EOs was assessed and compared with unwrapped meat samples and samples wrapped with chitosan/NC, during a 13 day period of refrigerated storage for several physicochemical parameters related to food deterioration and microbial growth. Wrapping the meat with the chitosan/NC polymer helped to increase the shelf life of the meat. The incorporation of EOs added extra activity to the biocomposites, further delaying the meat deterioration process, by halting the lipid oxidation and the Enterobactereaceae growth until the 9th day. The composition of both EOs was similar, with the main components contributing to the increased activity of the biopolymers being geranial and neral. The performance of ACEO surpassed that of CCEO, namely on the Enterobactereaceae growth. This trend may be associated with ACEO’s higher phenolic content and the higher antioxidant activity of the compounds released by the ACEO biopolymers.
The Epidemiology of Deficiency of Vitamin B12 in Preschool Children in Turkey
Authors: Elgormus Yusuf , Okuyan Omer , Dumur Seyma , Sayili Ugurcan , Uzun Hafize
Published: October 2023

Background: Vitamin B12 is a water-soluble vitamin with important cellular functions; it is an essential vitamin. The aim of this study is to determine the B12 levels of children in the period from the 6th month when they start taking additional foods to the age of seven (preschool children) and the risk factors affecting them. Methods: One hundred pediatric patients aged 6–72 months who were diagnosed with vitamin B12 deficiency and their parents who agreed to attend Istanbul Atlas University, Medical Faculty, “Medicine Hospital” Pediatric Clinic between September 2022 and June 2023 were prospectively included in this study. Results: B12 deficiency was significantly higher in the 6–11 (25%)-month group than in the 12–23 (5.8%)- and 24–47 (2.8%)-month groups. Homocysteine levels were highest in those with insufficient B12 levels compared to the other groups. There was no statistically significant difference in weekly dairy and meat consumption levels between age groups. B12 levels were lower in the 6–11-month group than in the other groups. Homocysteine levels were highest in those with insufficient B12 levels (<200 pg/mL (148 pmol/L)). Folic acid levels were lower in the 24–47-month and 48–72-month groups than in the 6–11-month and 12–23-month groups. Conclusions: The results obtained in this study showed that low vitamin B12 and increased homocysteine levels seem to be important risk factors in preschool children, especially from the 6th month when they start consuming additional foods. The diagnosis of B12 deficiency can be confirmed by elevated serum total homocysteine levels, which are evidence of functional cobalamin deficiency.
Maternal Antibiotic Exposure and the Risk of Developing Antenatal or Postpartum Depressive Symptoms: The Maternal Experience Study Protocol
Authors: Pouranayatihosseinabad Mahsa , Taylor Maggie , Hawrelak Jason , Peterson Gregory M. , Veal Felicity , Ling Tristan , Williams Mackenzie , Whatley Megan , Ahdieh Kyan , Mirkazemi Corinne
Published: October 2023

Limited epidemiological evidence suggests a link between antibiotic use and developing depression. This study seeks to investigate this association in depth, using a cohort of pregnant individuals. The primary aim is to explore any association between the use of antibiotics during pregnancy and the development of antenatal depressive symptoms up to the third trimester, as well as the use of antibiotics during pregnancy and within 12 months postpartum and the development of postpartum depressive symptoms. A national prospective, observational, longitudinal cohort study has been designed to examine these relationships. A sample size of 1500 pregnant individuals has been sought for this study, assuming 10 potential predictor variables (including antibiotic use) in the final multiple logistic regression model and allowing for a 30% drop-out rate. The development of depressive symptoms is considered either a diagnosis by a medical doctor and/or a scoring 13 or higher on the Edinburgh Postnatal Depression Scale. Data will be collected during the third trimester and at 6 weeks, 6 months, and 12 months postpartum. These surveys include variables previously identified as associated with antenatal and postpartum depression (e.g., level of social support, experience of intimate partner abuse, and obstetric complications), as well as antibiotic and probiotic use. This study will provide an update on the prevalence of the symptoms of depression during pregnancy and postpartum and its associated risk factors. It will also, for the first time, comprehensively explore the potential association between antibiotic use during pregnancy and up to 12 months postpartum and the development of depressive symptoms.
Physiological Mechanisms Inherent to Diabetes Involved in the Development of Dementia: Alzheimer’s Disease
Authors: Mohamed-Mohamed Himan , García-Morales Victoria , Sánchez Lara Encarnación María , González-Acedo Anabel , Pardo-Moreno Teresa , Tovar-Gálvez María Isabel , Melguizo-Rodríguez Lucía , Ramos-Rodríguez Juan José
Published: October 2023

Type 2 diabetes mellitus (T2D) is a metabolic disease reaching pandemic levels worldwide. In parallel, Alzheimer’s disease (AD) and vascular dementia (VaD) are the two leading causes of dementia in an increasingly long-living Western society. Numerous epidemiological studies support the role of T2D as a risk factor for the development of dementia. However, few basic science studies have focused on the possible mechanisms involved in this relationship. On the other hand, this review of the literature also aims to explore the relationship between T2D, AD and VaD. The data found show that there are several alterations in the central nervous system that may be promoting the development of T2D. In addition, there are some mechanisms by which T2D may contribute to the development of neurodegenerative diseases such as AD or VaD.
Medicinal Properties of Honey and Cordyceps Mushrooms
Authors: Badea Theodor-Ioan , Vamanu Emanuel
Published: October 2023

In a world still recovering after the COVID-19 pandemic, the consequences of which are still not entirely known, the attention of scientists worldwide is drawn to natural products with positive effects on immunity. The starting point for tackling such a subject is proper documentation of substances used in traditional medicine, which usually have significant nutritional and functional values. Among the most well-known of these substances are mushrooms and honey, both of which have been used for thousands of years all around the globe. The following work aims to gather information about the properties of honey and Cordyceps sp. mushrooms by studying the scientific literature available at this point. With the proper use of this information, it will be possible to develop products that incorporate the studied ingredients to increase their functional and medicinal value.
Diagnostic Study of Mandibular Cortical Index Classification Using Dental Cone-Beam Computed Tomography Findings: A Preliminary Cross-Sectional Study
Authors: Seki Keisuke , Yoshino Tona , Ogisawa Shouhei , Arai Yushi , Tonogi Morio , Iinuma Toshimitsu
Published: October 2023

The prevalence of osteoporosis is high, reportedly affecting 200 million people worldwide. A major problem associated with osteoporosis is that femoral fractures cause a decline in general function and loss of independence, greatly reducing patients’ quality of life. Notably, osteoporosis is an asymptomatic chronic metabolic disease, and its detection is thus often delayed. Interestingly, mandibular cortical index (MCI) classification using dental panoramic radiography is reportedly useful for early detection of osteoporosis. However, this visual classification method can lead to differences in diagnoses among surgeons. The aim of this preliminary study was to analyze cone-beam computed tomography (CBCT) data and examine an objective MCI classification using the findings obtained. MCI classification (classified as C1, C2, or C3) was performed by three examiners on 70 women (91 sites) aged ≥20 years. The mandibular cortical width of all sites was measured using CBCT images. The results showed that the mandibular cortical width was not particularly correlated with age or number of present teeth, and no significant quantitative differences were found between C1 and C2. However, coronal CBCT images of C2 revealed multiple characteristic trabecular bone structures. These structures may be an important finding affecting the classification of two-dimensional dental panoramic radiography images.
An Infrared Maritime Small Target Detection Algorithm Based on Semantic, Detail, and Edge Multidimensional Information Fusion
Authors: Yao Jiping , Xiao Shanzhu , Deng Qiuqun , Wen Gongjian , Tao Huamin , Du Jinming
Published: October 2023

The infrared small target detection technology has a wide range of applications in maritime defense warning and maritime border reconnaissance, especially in the maritime and sky scenes for detecting potential terrorist attacks and monitoring maritime borders. However, due to the weak nature of infrared targets and the presence of background interferences such as wave reflections and islands in maritime scenes, targets are easily submerged in the background, making small infrared targets hard to detect. We propose the multidimensional information fusion network(MIFNet) that can learn more information from limited data and achieve more accurate target segmentation. The multidimensional information fusion module calculates semantic information through the attention mechanism and fuses it with detailed information and edge information, enabling the network to achieve more accurate target position detection and avoid detecting one target as multiple ones, especially in high-precision scenes such as maritime target detection, thus effectively improving the accuracy and reliability of detection. Moreover, experiments on our constructed dataset for small infrared targets in maritime scenes demonstrate that our algorithm has advantages over other state-of-the-art algorithms, with an IoU of 79.09%, nIoU of 79.43%, F1 score of 87.88%, and AuC of 95.96%.
Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data
Authors: Papacharalampous Georgia , Tyralis Hristos , Doulamis Nikolaos , Doulamis Anastasios
Published: October 2023

Regression algorithms are regularly used for improving the accuracy of satellite precipitation products. In this context, satellite precipitation and topography data are the predictor variables, and gauged-measured precipitation data are the dependent variables. Alongside this, it is increasingly recognised in many fields that combinations of algorithms through ensemble learning can lead to substantial predictive performance improvements. Still, a sufficient number of ensemble learners for improving the accuracy of satellite precipitation products and their large-scale comparison are currently missing from the literature. In this study, we work towards filling in this specific gap by proposing 11 new ensemble learners in the field and by extensively comparing them. We apply the ensemble learners to monthly data from the PERSIANN (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) and IMERG (Integrated Multi-satellitE Retrievals for GPM) gridded datasets that span over a 15-year period and over the entire contiguous United States (CONUS). We also use gauge-measured precipitation data from the Global Historical Climatology Network monthly database, version 2 (GHCNm). The ensemble learners combine the predictions of six machine learning regression algorithms (base learners), namely the multivariate adaptive regression splines (MARS), multivariate adaptive polynomial splines (poly-MARS), random forests (RF), gradient boosting machines (GBM), extreme gradient boosting (XGBoost) and Bayesian regularized neural networks (BRNN), and each of them is based on a different combiner. The combiners include the equal-weight combiner, the median combiner, two best learners and seven variants of a sophisticated stacking method. The latter stacks a regression algorithm on top of the base learners to combine their independent predictions. Its seven variants are defined by seven different regression algorithms, specifically the linear regression (LR) algorithm and the six algorithms also used as base learners. The results suggest that sophisticated stacking performs significantly better than the base learners, especially when applied using the LR algorithm. It also beats the simpler combination methods.
Student Behavior Detection in the Classroom Based on Improved YOLOv8
Authors: Chen Haiwei , Zhou Guohui , Jiang Huixin
Published: October 2023

Accurately detecting student classroom behaviors in classroom videos is beneficial for analyzing students’ classroom performance and consequently enhancing teaching effectiveness. To address challenges such as object density, occlusion, and multi-scale scenarios in classroom video images, this paper introduces an improved YOLOv8 classroom detection model. Firstly, by combining modules from the Res2Net and YOLOv8 network models, a novel C2f_Res2block module is proposed. This module, along with MHSA and EMA, is integrated into the YOLOv8 model. Experimental results on a classroom detection dataset demonstrate that the improved model in this paper exhibits better detection performance compared to the original YOLOv8, with an average precision (mAP@0.5) increase of 4.2%.
EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism
Authors: Wang Ling , Song Fangjie , Zhou Tie Hua , Hao Jiayu , Ryu Keun Ho
Published: October 2023

A variety of technologies that could enhance driving safety are being actively explored, with the aim of reducing traffic accidents by accurately recognizing the driver’s state. In this field, three mainstream detection methods have been widely applied, namely visual monitoring, physiological indicator monitoring and vehicle behavior analysis. In order to achieve more accurate driver state recognition, we adopted a multi-sensor fusion approach. We monitored driver physiological signals, electroencephalogram (EEG) signals and electrocardiogram (ECG) signals to determine fatigue state, while an in-vehicle camera observed driver behavior and provided more information for driver state assessment. In addition, an outside camera was used to monitor vehicle position to determine whether there were any driving deviations due to distraction or fatigue. After a series of experimental validations, our research results showed that our multi-sensor approach exhibited good performance for driver state recognition. This study could provide a solid foundation and development direction for future in-depth driver state recognition research, which is expected to further improve road safety.
Research on Two-Stage Semi-Active ISD Suspension Based on Improved Fuzzy Neural Network PID Control
Authors: Jin Linhao , Fan Jingjing , Du Fu , Zhan Ming
Published: October 2023

To better improve the ride comfort and handling stability of vehicles, a new two-stage ISD semi-active suspension structure is designed, which consists of the three elements, including an adjustable damper, spring, and inerter. Meanwhile, a new semi-active ISD suspension control strategy is proposed based on this structure. Firstly, the fuzzy neural network’s initial parameters are optimized using the grey wolf optimization algorithm. Then, the fuzzy neural network with the optimal parameters is adjusted to the PID parameters. Finally, a 1/4 2-degree-of-freedom ISD semi-active suspension model is constructed in Matlab/Simulink, and the dynamics simulation is carried out for the three schemes using PID control, fuzzy neural network PID control, and improved fuzzy neural network PID control, respectively. The results show that compared with adopting PID control and fuzzy neural network PID control strategy, the vehicle body acceleration and tire dynamic loads are significantly reduced after using the grey wolf optimized fuzzy neural network PID control strategy, which shows that the control strategy proposed in this paper can significantly improve the vehicle smoothness and the stability of the handling.
Half-Bridge Silicon Strain Gauges with Arc-Shaped Piezoresistors
Authors: Han Ji-Hoon , Min Sung Joon , Lee Eun-Sang , Kim Joon Hyub , Min Nam Ki
Published: October 2023

Half-bridge silicon strain gauges are widely used in the fabrication of diaphragm-type high-pressure sensors, but in some applications, they suffer from low output sensitivity because of mounting position constraints. Through a special design and fabrication approach, a new half-bridge silicon strain gauge comprising one arc gauge responding to tangential strain and another linear gauge measuring radial strain was developed using Silicon-on-Glass (SiOG) substrate technology. The tangential gauge consists of grid patterns, such as the reciprocating arc of silicon piezoresistors on a thin glass substrate. When two half-bridges are connected to form a full bridge with arc-shaped gauges that respond to tangential strain, they have the advantage of providing much higher output sensitivity than a conventional half-bridge. Pressure sensors tested under pressure ranging from 0 to 50 bar at five different temperatures indicate a linear output with a typical sensitivity of approximately 16 mV/V/bar, a maximum zero shift of 0.05% FS, and a span shift of 0.03% FS. The higher output level of pressure sensing gauges will provide greater signal strength, thus maintaining a better signal-to-noise ratio than conventional pressure sensors. The offset and span shift curves are quite linear across the operating temperature range, giving the end user the advantage of using very simple algorithms for temperature compensation of offset and span shift.
Adsorption, Modeling, Thermodynamic, and Kinetic Studies of Acteray Golden Removal from Polluted Water Using Sindh Clay and Quartz as Low-Cost Adsorbents
Authors: Fatima Aqsa , Hanif Muhammad Asif , Rashid Umer , Jilani Muhammad Idrees , Alharthi Fahad A. , Han Jeehoon
Published: October 2023

Due to growing environmental awareness and demands, many efforts were implemented for the transformation of waste materials into highly efficient adsorption capacity materials. In this work, efforts were made to convert the Sindh clay and quartz into an efficient composite for dye removal from polluted water. The synthesized composites were characterized using FT-IR, BET, SEM, and XRD. The synthesized composite showed a crystalline structure with specific characteristics, including a specific surface area of 7.20 m2/g and a pore diameter of 3.27 nm. The formation of iron cyanide hydrate (2030 cm−1) and iron oxides (418 cm−1) were depicted through Fourier transform infrared spectroscopy analysis. The micrographs obtained show that the unmodified quartz sample has a flattened and elongated shape compared to the modified quartz sample, which has aggregated and coarse morphology. The effects of several factors, such as temperature, contact time, and initial dye concentration, were studied. Kinetic models were also applied to determine the probable route of the adsorption process. For adsorption equilibrium analysis, the Dubinin–Radushkevich, Langmuir, Freundlich, Temkin, and Harkin–Juraisotherm models were employed. The Freundlich isotherm model and pseudo-first-order model best described the adsorption of dyes onto the clay composites. R2 values were close to 1 or more than 0.9, showing which equation fits the experimental data. The produced composite demonstrated good reusability, maintaining over 90% of the adsorption capacity after five reaction cycles without the need for reactivation.
The Exclusiveness of Smart Cities—Myth or Reality? Comparative Analysis of Selected Economic and Demographic Conditions of Polish Cities
Authors: Jonek-Kowalska Izabela
Published: October 2023

The Smart City concept is perceived as a method of dynamic development of cities and an opportunity to improve the quality of life of the urban community. Nevertheless, it is not without its disadvantages, among which the possibility of exclusion (economic, social or digital) is most often mentioned. However, the literature on the subject lacks empirical research verifying this allegation. For this reason, the purpose of this article is to conduct a comparative analysis of economic and social conditions in 17 Polish cities, 3 of which are recognized as Smart Cities in international rankings. By analyzing the economic and demographic conditions in the long term, an attempt is made to answer the question of whether Smart Cities offer better living conditions, and if so, how big is the imbalance and the risk of excluding other cities? In the course of the research, the following are taken into account: tax revenue per capita, unemployment rate, population density and level, as well as the share of working and post-working age population. These parameters are analyzed using descriptive statistics and systematized using multi-criteria analysis. The collective comparison of all the surveyed provincial cities shows that the best economic and demographic conditions apply to cities recognized as smart. The average annual rate of changes in tax revenues in the surveyed cities ranges from 5% to almost 8% and is the highest in Warsaw, Kraków and Wrocław. These cities are also characterized by the lowest unemployment rate, ranging from 3% to 4% (in other cities, from 4% to almost 7%). The mentioned cities and Gdańsk are the only ones with a positive rate of population change (from 0.62% to 1.08%). Other studied cities are systematically depopulating (annual rate of change from −0.37% to −7.09%). In Warsaw, Wrocław and Kraków, the share of the working-age population is also decreasing the slowest (the annual rate of change below −1.0%). The cities recognized as smart (Warsaw, Kraków and Wrocław) are matched by Gdańsk and Poznań, which can be considered strong contenders for being smart. Unfortunately, the remaining cities are far from the leaders of the ranking, which may expose them to economic and social exclusion, all the more so that the parameters examined in them are characterized by negative tendencies. It can, therefore, be concluded that striving to be smart can be a cause of increasing the economic and demographic distance. Therefore, it may increase unbalance and generate exclusion in the analyzed areas.