bluuebunny/crossref_metadata_2025 huggingface dataset:
Physical and Chemical Properties, Flavour and Organoleptic Characteristics of Walnut Purple Rice Yoghurt
Authors: MU Hongyu , Dai Tian-Yi , Huang Si , Wu Kuan , Wang Mingming , Tan Chunlei , Zhang Feng , Sheng Jun , Zhao Cunchao
Published: January 2024

In recent years, green and healthy foods have attracted much attention. Plant-based foods have become a new trend to replace animal-derived foods. In this study, we used walnut and purple rice as the primary raw materials to produce yogurt. The process included boiling, mixing, grinding, inoculation, fermentation, and sterilization. We then analyzed the similarities and differences between the resulting walnut purple rice yogurt and unfermented walnut purple rice milk, as well as dairy-based yogurt, in terms of physical chemistry, flavor, and sensory characteristics. We also examined the similarities and differences between fermented walnut purple rice milk and conventional warm yogurt. The study results revealed that walnut purple rice yogurt exhibited greater viscosity than walnut purple rice milk and conventional dairy-based yogurt. Additionally, the former displayed enhanced stability and recovery ability. Notably, distinguishable differences were observed between the three types of yogurts in terms of the presence of unknown volatiles and the umami signal as indicated by electronic nose/tongue and GC-IMS analyses. The umami flavour of walnut purple rice yogurt surpasses that of traditional dairy-based yogurt, whilst its salty taste is lower than that of walnut purple rice milk. Despite possessing a weaker aroma than dairy-based yogurt, it is more potent than walnut purple rice milk. Additionally, its relative abundance of olefins, ketones, and alcohols enhances its unique flavour profile, surpassing both other options. Based on sensory analysis, it can be deduced that walnut purple rice yogurt has the highest overall acceptance rate.
Preemptive Diagnosis of Parkinson's Disease through DaT Scans using InceptionV3-based Convolutional Neural Networks
Authors: Appineni Ashmita , Gupta Aditya
Published: January 2024

In this study, we introduce a neural-learning based approach for the early detection of Parkinson Disease using DaT SPECT imaging, a promising technique in neurodegenerative disease diagnosis. Leveraging the advanced capabilities of deep learning, we developed a convolutional neural network model based on the Inception V3 architecture, which has been enhanced by modulating custom layers to fine-tune the model specifically for the analysis of DaT SPECT images. The imaging dataset was obtained through the Parkinson's Progression Markers Initiative (PPMI), and the model was trained to classify whether a patient had Parkinson Disease through a binary classification of their DaT SPECT Scan using the fine-tuned InceptionV3 model. This specialized adaptation allows for more accurate and nuanced interpretation of the scans, a crucial factor in early and reliable diagnosis of Parkinsonian syndromes. Our model underwent rigorous hyperparameter tuning, focusing on learning rates, the number of neurons in the dense layer, and dropout rates, to ensure optimal performance. Remarkably, the proposed model demonstrated a significant improvement in accuracy, achieving 74.65%, compared to a standard Sequential Model, which only reached an accuracy of 51.41%. Diagnosis of Parkinson Disease through DaT SPECT Scans is a promising approach not only as a more effective diagnostic tool but also as a beacon for future research in the application of deep learning to medical imaging for neurodegenerative diseases. By building layers on the InceptionV3 Architecture, we achieve a higher accuracy on DaT SPECT Scan diagnosis and pave the way for automated diagnosis of patients with Parkinson Disease, allowing for easier medical accessibility and paving the way for advancements in early diagnosis and personalized medicine strategies for Parkinson's disease and related disorders.
Effect of Network Architecture on Physics-Informed Deep Learning of the Reynolds-Averaged Turbulent Flow Field around Cylinders without Training Data
Authors: Harmening Jan Hauke , Peitzmann Franz-Josef , el Moctar Ould
Published: January 2024

Unsupervised physics-informed deep learning can be used to solve computational physics problems by training neural networks to satisfy the underlying equations and boundary conditions without labeled data. Parameters such as network architecture and training method determine the training success. However, the best choice is unknown a priori as it is case specific. Here, we investigated network shapes, sizes, and types for unsupervised physics-informed deep learning of the two-dimensional Reynolds-averaged flow around cylinders. We trained mixed-variable networks and compared them to traditional models. Several network architectures with different shape factors and sizes were evaluated. The models were trained to solve the Reynolds-averaged Navier-Stokes equations incorporating Prandtl's mixing length turbulence model. No training data were deployed to train the models. The superiority of the mixed-variable approach was confirmed for the investigated high Reynolds number flow. The mixed-variable models were sensitive to the network shape. For the two cylinders, differently deep networks showed superior performance. The best fitting models were able to capture important flow phenomena such as stagnation regions, boundary layers, flow separation, and recirculation. We also encountered difficulties when predicting high Reynolds number flows without training data
Siliceous Sandstones Used in Local Khmer Temples in Battambang, Ta Keo, and Kampong Cham Provinces, Cambodia
Authors: Uchida Etsuo , Kobayashi Yoshimitsu
Published: January 2024

Siliceous sandstones used in Khmer temples such as the Prasat Basset, Wat Ek Phnom, Phnom Banan temples in Battambang Province, Phnom Chisor and Ta Prohm temples in Ta Keo Province, and Wat Nokor Bachey temple in Kampong Cham Province in Cambodia were investigated in this study. Chemical composition analyses and magnetic susceptibility measurements were conducted for the sandstone blocks used in these temples. Siliceous sandstone is a primary construction material in all investigated temples. Two types of siliceous sandstone, pale brown and red, were found. Pale brown siliceous sandstone was used for the construction of all the investigated temples. In contrast, red siliceous sandstone was found only in the Wat Ek Phnom, Prasat Basset, and Phnom Banan temples. It is suggested that the pale brown siliceous sandstone originated from the Phra Wihan Formation within the Khorat Group. Based on the chemical composition analysis, the pale brown siliceous sandstone in the Ta Prohm temple at Tonle Bati and the Wat Nokor Bachey temple may have been sourced from the lower level of the Phra Wihan Formation. In contrast, the pale brown siliceous sandstone used in the Prasat Basset, Wat Ek Phnom, and Phnom Banan temples was likely sourced from the upper level. The origin of the red siliceous sandstone is proposed to be from the Sao Khua Formation, which is situated above the Phra Wihan Formation.
Impact of Micronized Salt in the Reducing the Sodium Content in Fresh Sausages
Authors: De Araújo Chimenes Darlan Leal , Krauskopf Monique Marcondes , Manzi João Antônio Santos , Barbosa José Andrew de Lira , Cavalcante Cecylyana Leite , Feltre Gabriela , Rios-Mera Juan D. , Saldaña Erick , Contreras-Castillo Carmen Josefina
Published: January 2024

This study aimed to investigate the incorporation of micronized salt (MS) to reduce sodium content in fresh sausages while preserving technological, chemical, textural, and sensory characteristics. Four treatments were prepared: control (C) with 2.0% regular salt; M2.0% with 2.0% micronized salt; M1.5% with 1.5% micronized salt; and M1.0% with 1.0% micronized salt. Half of the micronized salt treatment was mixed with the fat during the processing of the fresh sausages. It was possible to achieve a 50% reduction in sodium (M1.0%) in the fresh sausages without negative effects on most technological, chemical, and textural parameters, which did not differ from the control treatment (C). Conversely, "chewiness" decreased in M2.0% compared to the control (C) due to mixing micronized salt with the fat. The sodium reduction did not impact the temporal sensory profile and overall liking. Therefore, using micronized salt in fresh sausages reduces sodium content without affecting sensory traits and product stability.
Impact of the Citrus Industry on the Water Quality of the Filobobos River in Veracruz, Mexico
Authors: Sandoval Herazo Luis Carlos , González-Moreno Humberto Raymundo , Carreto-Hernandez Luis Guillermo , Zurita Florentina , Nani Graciela , Zamora Sergio , Sandoval-Herazo Mayerlin , Martinez-Resendiz Georgina
Published: January 2024

The state of Veracruz has ample water resources. However, due to population and industrial growth, there has been an increase in the discharge of wastewater into surface water bodies. To analyze the water quality in the Bobos River, Veracruz, and its sustainability, researchers collected nine samples from nine different points in the reservoir. They measured various parameters such as temperature, pH, dissolved oxygen, conductivity, total nitrogen, nitrate, chemical oxygen demand, total phosphorus, phosphate, dissolved solids, and fecal coliforms. The results showed that the river's water quality is at risk. The concentration of pollutants such as chemical oxygen demand and fecal coliforms is high. Conductivity values ranged from 0.26 to 3.81 mS. If preventive and corrective measures are not taken, the river's ability to purify pollutants will be severely compromised. This study evaluates the physical, chemical, and microbiological characteristics of the water in Bobos River. It specifically investigates the influence of the nearby citrus industry on the river's water quality. The study also aims to promote environmental sustainability.
Occurrence Characteristics of Gold in Crude Oil and Its Geological Significance
Authors: Ni Zhiyong , Zhang Wen , Liu Jie , Shi Shenbao , Wang Xue , Su Yang
Published: January 2024

Oil and petroleum are strategic resources of great importance to national security. Petroleum and hydrothermal gold deposits may form together, with similar evolutionary trends in their formation, migration, and enrichment. Petroleum reservoirs and gold deposits are closely coupled under certain geological conditions. The solubility of gold in crude oil and its forms of occurrence are important in determining the mechanisms of interaction between gold and petroleum and in facilitating the recovery of gold from gold-bearing petroleum. In this study, the occurrence of gold in crude oil from the Linnan Depression in the Bohai Bay Basin, China, was studied using inductively coupled plasma–mass spectrometry and X-ray photoelectron spectroscopy. Concentrations of gold in crude oil from the Linpan and Shanghe oilfields averaged 44.5 ppb, which is well above the minimum concentration required for hydrothermal gold mineralization. Gold has an affinity with carbon, oxygen, and sulfur, and its concentration in crude oil is positively correlated with total acid and sulfur contents. We speculate that gold may exist in crude oil as complexes with organic acids or thiols, with crude oil thus being a transport medium for gold.
Exploring Immune Response and Lab Markers Across COVID-19 Severity Levels
Authors: Desheva Yulia , Shvedova Tamara , Lerner Anna , Kudar Polina , Kopteva Olga , Petrachkova Daria , Koroleva Irina , Leontirva Galina , Ponkratov Stanislav , Suvorov Alexander
Published: January 2024

This retrospective cohort study investigated antigen-specific antibody responses to SARS-CoV-2 and serum inflammatory markers in coronavirus disease 2019 (COVID-19) patients of varying severity. Serum or plasma samples collected early in the pandemic were analyzed for the presence of IgG antibodies and IgG subclasses targeting the recombinant spike (S) and nucleocapsid (N) proteins of SARS-CoV-2. Correlation analyses were conducted to assess the possible relationship between IgG subclasses to SARS-CoV-2 proteins and severity of the disease.It was shown that IgG levels against S- and N-proteins decreased in the most severe COVID-19 cases, potentially attributed to delayed IgG formation compared to milder infections. The presence of anti-N IgG at the time of hospitalization correlated with subsequent recovery. At the same time, anti-N IgG1 and IgG3 correlated with the detection of the viral RNA in the blood. With a mild course of infection, anti-spike IgG1 titers negatively correlated with such markers as CRP, fibrinogen and NLR levels. The highest levels of anti-spike IgG observed in moderate COVID-19 cases exhibited a positive correlation with serum histamine levels.
Single Nucleotide Polymorphisms as a Biomarker in the Assessment of Oral Mucositis in Head and Neck Cancer Patients: A Systematic Review
Authors: Cavalieri Ronaldo , De Oliveira Harley Francisco , Louvain de Souza Thais , Kanashiro Milton Masahiko
Published: January 2024

Single Nucleotide Polymorphisms (SNPs) are the most common type of genetic variation found in individual’s DNA sequences. SNPs can occur in both coding and non-coding regions of the genome and can affect gene expression, protein function, and disease susceptibility. In this systematic review we evaluate the influence of SNPs as a biomarker in the assessment of oral mucositis (OM) in head and neck cancer (HNC) patients. The study selection process involved screening 66 articles from different platforms, and after removing duplicates and excluding irrelevant articles, 23 articles were included for full-text evaluation. The main characteristics and findings of the selected articles are presented and discussed. We conclude that SNPs can be used as a reliable biomarker for the assessment of OM in HNC patients, and further research is needed to explore the potential of SNPs in personalized medicine for HNC treatment.
Ethylene-Di-Amine Modified β-Cyclodextrin Catalyzed Green Synthesis of Pyrimidones and Its In Silico Study against ESBL E. coli Receptor
Authors: Rajapriyan Manojkumar , Alanazi Mohammed M. , AHMED SUMEER , Bhat Ajmal R. , Khan R Imran , Kawsar Sarkar M. A. , M Syed Ali Padusha
Published: January 2024

Modern organic synthesis is majorly focused on developing environmentally benign synthetic protocols by employing green chemistry principles. Accordingly, in our recent research work, we herein report the use of modified supramolecular host cyclodextrin as an effective solid based green catalyst for accessing structurally diverse and medicinally relevant pyrimidone architectures. The catalyst and the synthesized compounds 4 (a-r) were characterized using FT-IR, NMR and GC-Mass spectroscopy. Major highlights of the reported work include: atom economical process, extremely milder reaction conditions, operational simplicity, high isolated yields, and excellent catalyst turnover number. The molecular docking studies suggest that the compound 4n has the hydrogen bonding, hydrophobic and π-pair interactions with the active site of active sites of CXT M 15 receptor.
Unlocking Lung Pathology with One Symptom: Cough
Authors: Desai Dev , Abouarab Ahmed Gamal
Published: January 2024

Distinguishing the level of pathology in the lungs through the sound of a cough is a complicated process that includes many factors. This paper explores the challenges of diagnosing lung pathology based solely on cough sounds. It emphasizes that while cough type can offer initial clues, it is just one piece of a complex diagnostic puzzle. For example, the differentiation of dry, productive, barking, hacking, and wheezing coughs provides initial insights into potential pathologies, which can range from respiratory infections to chronic diseases. The examination of cough characteristics, such as frequency, strength, and persistence, aids in identifying the severity of underlying conditions. Moreover, associated respiratory and systemic symptoms further contribute to the diagnostic landscape, with manifestations such as dyspnea, wheezing, chest pain, and hemoptysis offering valuable clinical information. Diagnostic tests, such as imaging studies and laboratory analyses, play a pivotal role in confirming diagnoses. However, challenges in diagnosis based solely on cough sounds require a more holistic approach, taking into consideration the complexity of lung pathologies. The paper concludes that accurately diagnosing lung pathologies based on cough sounds alone is difficult and requires careful consideration of multiple factors and stresses on contextualizing cough characteristics with other clinical features and diagnostic tests for an accurate assessment and comprehensive treatment planning.
Prediction of Colorectal Cancer Liver Metastasis through an MRI Radiomic Model
Authors: Wu Yaokun , Liu Ning , Tao Yunyun , Zheng Jing , Huang Xiaohua , Yang Lin , Zhang Xiaoming
Published: January 2024

Objective: To investigate the efficacy of a magnetic resonance imaging (MRI) radiomics model in predicting colorectal cancer liver metastasis (CRLM).
Methods: A total of 120 patients who underwent baseline MRI examination at the Affiliated Hospital of North Sichuan Medical College from June 2016 to August 2022 and were pathologically confirmed to have colorectal cancer (CRC) were randomly divided into a training group and a validation group. The clinical risk factors and MRI data of all patients were collected. Univariate and multivariate analysis were used to screen the clinically independent risk factors for CRLM. The radiomic features of each sequence were extracted from oblique axial or axial fat-free T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) sequences. Least absolute shrinkage and selection operator (LASSO) regression was used to screen the optimal radiomic features of each sequence. Logistic regression was used to establish a prediction model of each sequence (T2WI and DWI models), a combined radiomics model (M) integrating the features of T2WI and DWI sequences, and a combined imaging-clinical model (U) combining the radiomic features of each sequence with clinically independent risk factors. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the predictive performance of each model.
Results: Among the 120 CRC patients enrolled, 57 had liver metastasis, and 63 did not. The tumor markers carcinoembryonic antigen and carbohydrate antigen 19-9 were clinically independent risk factors for CRLM. Three optimal radiomic features were screened from T2WI and DWI sequences through LASSO regression analysis, respectively. The AUC values of the T2WI, DWI, M, and U models were 0.811, 0.803, 0.824, and 0.899 in the training group and 0.795, 0.798, 0.813, and 0.889 in the validation group, respectively. The predictive performance of the combined models was better than that of the single-sequence models. The U model performed best at predicting CRLM.
Conclusion: An MRI radiomics model based on CRC primary lesions can predict CRLM well. Our combined model integrating the radiomic features of each sequence and clinically independent risk factors had the best predictive performance.
Green Economy Transition in Cambodia: Background and Progress—SWOT Analysis
Authors: Chan Puthearath
Published: January 2024

This research aims to understand green economy transition in Cambodia and analyze its strengths, weaknesses, opportunities, and threats (SWOT). The research showed that Cambodia has been significantly transitioning its economy to green since 2009 as evidenced by its National Green Growth Roadmap. Cambodia also established the National Council for Green Growth in 2012 and upgraded it to the National Council for Sustainable Development in 2015. The members of the Council are from all the government’s ministries and relevant inter-ministerial councils/committees, which are significant for policymaking. All governors of the capital and provincial administrations are also its members, which are significant for supporting and implementing the works at the subnational levels. Under the structure of its Secretariat, Department of Green Economy is playing an important role in promoting green economic development in Cambodia by looking at the national policies and strategic plans, undertaking projects, and mobilizing resources. Through coordination of this Department, Cambodia officially became a Member of the United Nations Partnership for Action on Green Economy (PAGE) in 2022. The findings showed that Cambodia is transitioning its green economy at the right time, especially the new government’s Pentagonal Strategy strongly supported this green economy transition with a clear and strong political commitment. The Council governing this green economy transition is also significant to both policymaking and implementation levels, which is inclusive for promoting green economic development in Cambodia.
A Contemporary Review of the Use of Extracorporeal CytoSorb® Hemoadsorption Therapy in Patients with Infective Endocarditis
Authors: Gong Anan , Li Yupei , Yang Mei , Wang Shujing , Su Baihai
Published: January 2024

Infective endocarditis (IE) is a rare but severe disease with high mortality and healthcare burden. Cardiac surgery plays a major role in the contemporary clinical management of IE patients. During cardiac surgery, cardiopulmonary bypass significantly contributes to an increased risk for organ dysfunction and mortality by inducing an acute inflammatory response, vascular endothelial cell injury, impairment of the coagulation cascade, and ischemia‒reperfusion injury. During the past decade, the use of extracorporeal hemoadsorption therapy with the CytoSorb® hemoadsorber has been proposed as an adjuvant therapy to mediate inflammatory responses in IE patients receiving cardiac surgery with cardiopulmonary bypass. However, there is currently a lack of systemic evaluation of the effect of CytoSorb® hemoadsorption on clinical outcomes such as hemodynamics, organ dysfunction, and mortality in patients with IE. Therefore, in this review, we exclusively discuss contemporary findings concerning the rationale, clinical evidence and future perspectives for CytoSorb® hemoadsorption therapy in IE patients.
A Concise and Free‐Metal Access to Lactone Annelated Pyrrolo[2,1‐a]isoquinoline Derivatives via a 1,2‐Rearrangement Step
Authors: Obydennik Arina Y. , Titov Alexander A. , Listratova Anna V. , Borisova Tatiana N. , Rybakov Victor B. , Voskressensky Leonid G. , Varlamov Alexey V.
Published: January 2024

An efficient approach to the previously unknown furo[2',3':2,3]pyrrolo[2,1-a]isoquinoline deriv-atives from readily available 1-R-1-ethynyl-2-vinylisoquinolines is described. The reaction fea-tures a simple procedure, occurs in hexaflouroisopropanol and does not require elevated tem-peratures. It has been found that the addition of glacial acetic acid significantly increases the yields of the target spirolactone products. Using trifluoroethanol instead of hexaflouroisopro-panol results into formation of pyrido[2,1-a]isoquinolines.
Study of Lightweight Ceramic Matrixless Syntactic Foam Composed of Cenospheres Using Spark Plasma Sintering
Authors: Eiduks Toms Valdemars , Drunka Reinis , Abramovskis Vitalijs , Zalite Ilmars , Gavrilovs Pavels , Baronins Janis , Lapkovskis Vjaceslavs
Published: January 2024

The current investigation presents porous ceramic materials prepared of cenospheres prepared by spark plasma sintering. The impact of sintering temperature, mould diameter (20 and 30 mm diameter) and cenosphere size on the properties of the sintered material was investigated. Shrinkage of the samples during sintering started at 900 °C. Sample shrinkage during sintering increases with increasing temperature and decreases with increasing mould size; increasing sample sintering temperature increases the apparent density of all sample series CS 63-150 µm in 20 mm mould from 0.97 to 2.3 g·cm-3 at 1050 - 1300 °C, in 30 mm mould 0.81 - 1.87 g·cm-3 at 1050 - 1200 °C, in 50 mm mould 0.54 - 0.75 g·cm-3 at 1050 - 1150 °C, while CS 150-250 µm in 20 mm mould 0.93 - 1.96 g·cm-3 at 1050 - 1200 °C. Total porosity decreases from 61.5% to 3.9% with increasing sintering temperature from 1050 to 1250 °C, while open porosity reduces at lower temperatures, with closed porosity being highest in samples sintered at 1150 °C. When the sintering temperature increases from 1050 to 1300 °C, the compressive strength of the CS 63-150 samples produced in a 20 mm mould increases from 11 MPa to 312 MPa. These results correlate with the Rice model, which describes an exponential dependence of compressive strength on material porosity and fully dense material compressive strength.
Multiphysics Modeling of a Synthetic Jet Actuator in Operation
Authors: Butler Matthew G , Ekmekci Alis , Sullivan Pierre Edward
Published: January 2024

Active flow control is a promising technology for reducing noise, emissions, and power consumption in various applications. To better understand the performance of synthetic jet actuators, a computational model that couples structural mechanics with electrostatics, pressure acoustics, and fluid dynamics has been needed. The model presented here has been validated against experimental data and then used to investigate the fluid behavior inside and outside the synthetic jet actuator cavity, impacts of thermoviscous losses on capturing the acoustic response of the actuator, and viability of different modeling methods of diaphragms in computational simulations. The results capture the feedback from the fluid onto the diaphragm and highlight the need for careful acoustic modeling.
Intrauterine Growth Restriction Affects Colonic Barrier Func-tion via Regulating the Nrf2/Keap1 and TLR4-NF-κB/ERK Pathways and Altering Colonic Microbiome and Metabolome Homeostasis in Growing-Finishing Pigs
Authors: Xiong Liang , Azad Md. Abul Kalam , Liu Yang , Zhang Wanghong , Zhu Qian , Hu Chengjun , You Jinming , Kong Xiangfeng
Published: January 2024

Intrauterine growth restriction (IUGR) pigs are characterized by long-term growth failure, metabolic disorders, and intestinal microbiota imbalance. The characteristics of the negative effects of IUGR at different swine growth stages are still unclear. Therefore, this study explored whether intrauterine growth restriction (IUGR) model damaged the intestinal barrier function and altered the colonization and metabolic profiles of the colonic microbiota in growing-finishing pigs by the multi-omics method. Seventy-two piglets (36 IUGR and 36 NBW) were selected for this trial to analyze physiological and plasma biochemical parameters, oxidative damage, and inflammatory response in the colon. Moreover, the colonic microbial communities were examined using 16s rRNA sequencing and metabolomics to reveal the intestinal characteristics of pigs at different growth stages (25, 50, and 100 kg). IUGR altered the plasma concentrations of glucose, total protein triglyceride, and cholesterol. Colonic tight junction proteins were markedly inhibited by IUGR. IUGR decreased plasma T-AOC, SOD, and GSH levels, and colonic SOD-1, SOD-2, and GPX4 expressions by restraining the Nrf2/Keap1 signaling pathway. Moreover, IUGR increased the colonic IL-1β and TNF-α levels while reducing IL-10, possibly activating the TLR4-NF-κB/ERK pathways. Notably, IUGR pigs had lower colonic Streptococcus abundance and Firmicutes-to-Bacteroidetes ratio at the 25 kg BW stage while having higher Firmicutes abundance at the 100 kg BW stage; moreover, IUGR pigs had lower SCFAs concentrations. Metabolomics analysis showed that IUGR increased colonic lipids and lipid-like molecules, organic acids and derivatives, and organoheterocyclic concentrations and enriched three differential metabolic pathways, including linoleic acid, sphingolipid, and purine metabolisms throughout the trial. Collectively, IUGR altered the nutrient metabolism, redox status, and colonic microbial community and metabolite profiles of pigs and continued to disrupt colonic barrier function by reducing antioxidant capacity via the Nrf2/Keap1 pathway and activating inflammation via the TLR4-NF-κB/ERK pathway during the growing-finishing stage. Colonic Firmicutes and Streptococcus could be potential regulatory targets for modulating the metabolism and health of IUGR pigs.
QoE-based Performance Comparison of AVC, HEVC, and VP9 on Mobile Devices with Additional Influence Factors
Authors: Nawaz Omer , Fiedler Markus , Khatibi Siamak
Published: January 2024

While current video quality assessment research predominantly revolves around resolutions of 4K and beyond, targeted at Ultra High-Definition (UHD) displays, effective video quality for mobile video streaming remains primarily within the range of 480p to 1080p. In this study, we conducted a comparative analysis of the Quality of Experience (QoE) for widely implemented video codecs on mobile devices, specifically Advanced Video Coding (AVC), its successor High-Efficiency Video Coding (HEVC), and Google's VP9. Our choice of 720p video sequences from a newly developed database, all with identical bitrates, aimed to maintain a manageable subjective assessment duration, capped at 35-40 minutes. To mimic real-time network conditions, we generated stimuli by streaming original video clips over a controlled emulated setup, subjecting them to eight different packet loss scenarios. We evaluated the quality and structural similarity of the distorted video clips using objective metrics, including Video Quality Metric (VQM), Peak Signal-to-Noise Ratio (PSNR), Video Multi-Method Assessment Fusion (VMAF), and Multi-Scale Structural Similarity Index (MS-SSIM).
Subsequently, we collected subjective ratings through a custom mobile application developed for Android devices. Our findings revealed that VMAF accurately represents the degradation in video quality compared to other metrics. Moreover, in most cases, HEVC exhibits an advantage over both AVC and VP9 under low packet loss scenarios. However, it is noteworthy that in our test cases, AVC outperformed HEVC and VP9 in scenarios with high packet loss, based on both subjective and objective assessments. Our observations further indicate that user preferences for the presented content contribute to video quality ratings, emphasizing the importance of additional factors that influence the perceived video quality of end-users.
A Sub-1-V Nanopower MOS-Only Voltage Reference
Authors: Wang Siqi , Lu Zhenghao , Xu Kunpeng , Dai Hongguang , Wu Zhanxia , Yu Xiaopeng
Published: January 2024

A novel low-power MOS-only voltage reference is presented. The Enz-Krummenacher-Vittoz (EKV) model is adopted to provide a new perspective on the operating principle. The normalized charge density, introduced as a new variable, serves as an indicator when trimming the output temperature coefficient. The proposed voltage reference consists of a specific current generator and a 5-bit trimmable load. Thanks to the well-match between the current source stage and the output stage, the non-linear temperature dependence of carrier mobility is automatically canceled out. The circuit is designed in 55 nm COMS technology. The operating temperature ranges from -40 ∘C to 120 ∘C. The average temperature coefficient of the output voltage can be reduced to 21.7 ppm/∘C by trimming. The power consumption is only 23.2 nW with a supply voltage of 0.8 V. The line sensitivity and the power supply rejection ratio at 100 Hz are 0.011 %/V and -89 dB respectively.
Exploring the Impact of Virtual Reality Rehabilitation on Motor Function in Individuals with Spina Bifida in Tanzania: A Quantitative Analysis
Authors: Mvandal Samson Peter , LUPOLY GODFREY , Mgawe Paschal Elauteri
Published: January 2024

Spina bifida, a congenital neural tube defect, presents a complex set of challenges, particularly in motor function, for individuals across the lifespan. The condition is characterized by incomplete closure of the spinal column during embryonic development, leading to a spectrum of motor impairments such as gait abnormalities, muscle weakness, and compromised functional mobility. The prevalence of spina bifida remains a global concern, affecting approximately 1 in 1000 live births. This research investigates the potential impact of virtual reality (VR) rehabilitation on motor function in individuals with spina bifida in Tanzania. A randomized controlled trial involving 120 participants is designed, with one group undergoing traditional rehabilitation and another engaging in a six-week VR rehabilitation program. Motor function assessments, including gait analysis, muscle strength measurements, and functional mobility tests, were conducted at baseline, midpoint, and post-intervention. Preliminary analysis suggests that VR rehabilitation may offer unique benefits, leading to improvements in motor function. The study aims to contribute valuable insights into the efficacy of VR-based interventions for enhancing the motor capabilities of individuals with spina bifida, providing a foundation for future rehabilitation strategies in this population.
The Link between Gut Microbiome, Nutraceuticals, Diet, and Diabetes Mellitus: A Bibliometric and Visual Analysis of Research and Emerging Trends from 2012 to 2022
Authors: Sarkar Aparajita , Sher Khan Anfal , Kaul Ridhima , Lee Surin , Kamal Ibtihal , Paul Pradipta , Laws Sa'ad , Chaari Ali
Published: January 2024

The increasing prevalence of diabetes mellitus (DM) worldwide is a cause for global concern. Recent evidence suggests that the interaction between one’s diet and the gut microbiome are key modifiers of diabetes, highlighting the potential role of microbiome-modulating nutraceuticals. This bibliometric analysis examines literature published between 2012 and 2022 to explore trends in the latest research, with additional discussion on major takeaways and future directions. We selected and analyzed 640 articles from an initial pool of 4,099 from the Web of Science using Microsoft Excel 2016 and VOSviewer software (version 1.6.19). Our exploration covered the most common journals, countries, study designs, experimental subjects, types of DM, organisms and nutraceuticals studied, and the most cited articles. We also evaluated the most cited publications in terms of journals, organizations, and countries, along with the collaborative networks among authors, organizations and countries, and the co-occurrence of author keywords from the selection. It is evident from the increasing number of publications each year that this field has attracted growing attention over the last decade. Nonetheless, continued research is essential to sustain this trend. Our overarching study of diabetes research marks steady progress in understanding the role of—and potentially discovering applications of—microbiome modulation to enhance metabolic pathways and health outcomes. Advancements in this field may lead to potential therapeutic applications for specific diets and nutraceuticals that modulate the gut microbiota in DM.
Rapid and High-Yield Recovery of Sodium Alginate from Undaria pinnatifida via Microwave-Assisted Extraction
Authors: Lee Ja Hyun , Lim Jong-Min , Nam Hyeon-Bin , Lee Kang Hyun , Yoo Hah Young , Park Chulhwan
Published: January 2024

Alginate, a biopolymer promising in food, biomedical, pharmaceutical, and electronic materials industries, is characterized by its biodegradability, biocompatibility, low toxicity, and gel-forming properties. It is most abundantly found in brown algae. However, conventional dilute acid and alkali extraction methods face limitations in commercialization due to their long processing time, low throughput, and high solvent requirements. In this study, a microwave-assisted extraction (MAE) process for sodium alginate was designed to improve extraction efficiency. Solid/liquid ratio, extraction temperature, and extraction solvent concentration were major variables affecting sodium alginate extraction from Undaria pinnatifida(sea mustard). They were then statistically optimized using response surface methodology. Under optimal conditions (13.27 g/L, 91.86 ℃, 2.51 %(w/v), and 15 min), the yield was 38.41 %, which was 93.43 % of the theoretical content of sodium alginate in Undaria pinnatifida. Our work has confirmed the productivity and industrial feasibility of efficient extraction of sodium alginate from marine biomass, and we hope that it will serve as an encouraging case for the application of biopolymers as one of the desirable options for alternative petrochemicals to construct a sustainable society.
CO2 Laser Frenuloplasty: Advancing Minimally Invasive Techniques for Rapid Healing and Improved Patient Outcomes
Authors: Amato Simone , Nisticò Steven , Bennardo Luigi , Pellacani Giovanni , Cannarozzo Giovanni
Published: January 2024

This study explores the innovative use of CO2 laser technology in frenuloplasty, a significant shift from traditional methods like scalpel surgery or electrocautery, towards a minimally invasive approach. The research involved 15 patients aged 25 to 50, undergoing frenuloplasty with a CO2 laser system equipped with a 7-inch defocused handpiece, set at 20Hz and 0.3W. This method diverges from conventional laser techniques, focusing on controlled laser passes combined with manual traction to elongate the fibrous tissue of the frenulum.
The results demonstrated that the CO2 laser technique allowed for a precise and progressive modification of the frenulum, significantly reducing the risks of hemorrhage and secondary in-tention fibrosis. The healing process was notably expedited, with patients reporting satisfactory outcomes within a two-week period. Statistically significant improvements were observed in pa-tient-reported outcomes, as evidenced by the increases in the Short Form Health Survey (SF-12) scores, with the mean Physical Component Summary (PCS) score rising from 32.5 to 47.5 and the mean Mental Component Summary (MCS) score from 39.3 to 52.3 (p < 0.001 for both).
The study concludes that CO2 laser frenuloplasty is an effective and safe technique, offering sub-stantial benefits in terms of reduced healing time and enhanced patient satisfaction. The signifi-cant improvements in SF-12 scores underscore the positive impact on patient quality of life, ad-vocating for the broader application of this technique in clinical practice. Further research is warranted to explore its potential in a wider clinical context.
Use of Remote Sensing and Biogeochemical Modelling to Simulate the Impact of Climatic and Anthropogenic Factors on Forest Carbon Fluxes
Authors: Chiesi Marta , Fibbi Luca , Vanucci Silvana , Maselli Fabio
Published: January 2024

The current communication presents the application of a consolidated model combination strategy to analyze the medium-term carbon fluxes in two Mediterranean pine wood ecosystems. The modelling strategy is based on the use of a NDVI-driven parametric model, Modified C-Fix, and of a bio-geochemical model, BIOME-BGC, the outputs of which are combined taking into account the actual development phase of each ecosystem. The two pine ecosystems examined correspond to an old-growth forest and to a secondary succession after clearcuts, which differently respond to the same climatic condition during a ten-year period (2013-2022). Increasing dryness, in fact, exerts a fundamental role in controlling the gross primary and net ecosystem production of the mature stand, while the effect of forest regeneration is prevalent for the uprising of the same variables in the other stand. In particular, the simulated net carbon exchange fluctuates around 200 g C m-2 year-1 in the first stand and rises to over 600 g C m-2 year-1 in the second stand; correspondingly, the accumulation of new biomass is nearly undetectable in the former case while becomes notable in the latter. The study therefore supports the potential of the applied strategy for predicting the forest carbon balances consequent on diversified natural and human-induced factors.
The Prognostic Role of Diagnostic Criteria for COVID-19 Associated Pulmonary Aspergillosis: A Cross-Sectional Retrospective Study
Authors: Asperges Erika , Pesare Rebecca , Bassoli Cecilia , Calia Matteo , Lerta Sonia , Citiolo Francesco , Albi Giuseppe , Cavanna Caterina , Sacchi Paolo , Bruno Raffaele
Published: January 2024

Several criteria exist to diagnose pulmonary aspergillosis with varying degrees of certainty in specific populations, including oncohaematological patients (EORTC/MSG), ICU patients (AspICU) and Covid-19 patients (ECMM). At the beginning of the pandemic, however, the diagnosis of Covid-19 Associated Pulmonary Aspergillosis (CAPA) could not be performed easily, and the decision to treat (DTT) was empirical. In this cross-sectional retrospective study including patients with SARS-CoV-2 infection and a suspicion of CAPA, we studied the concordance between the DTT and the three diagnostic criteria using Cohen’s coefficient, then we identified the factors associated with the DTT and we corrected by treatment to study the influence of the diagnostic criteria on survival. We showed good concordance of DTT and AspICU and ECMM criteria, with “compatible signs”, “positive culture” and “positive galattomannan” influencing the DTT. Treatment also showed a positive effect on survival once corrected for a putative, possible or probable diagnosis of CAPA using AspICU and ECMM criteria. We conclude that EORTC/MSGERC are not considered applicable in clinical practice due to lack of inclusion of signs and symptoms and do not lead to improved survival. AspICU and ECMM criteria showed a good degree of agreement with the DTT and a positive correlation with patient recovery.
Mapping the Genomic Impact of the COVID-19 Virus
Authors: Ikawaty Risma , Efendi Marzuki HY Jefman , Baharuddin Baharuddin
Published: January 2024

The COVID-19 pandemic caused by the RNA virus SARS-CoV-2, has had a significant impact not only on bodily metabolism but also at the genomic level. This study utilizes a bibliometric approach to map and identify the relationship between COVID-19 and DNA damage, genomic instability, and cell cycle deregulation. The research began with the development of in-depth research questions and conducted two rounds of literature search in the Scopus database with stringent filters to ensure relevance and accuracy. From an initial 1098 documents, 576 relevant documents were selected for further analysis. The collected data was then visualized using bibliometric methods, enabling the identification of important patterns, trends, and relationships among the research variables. Key findings indicate that DNA damage, which can induce apoptosis, is the worst impact of the infection on cells. Term frequency analysis and science mapping revealed a close relationship between "DNA damage" and "apoptosis". Furthermore, discussions on genomic instability highlight telomere regulation issues, while cell cycle deregulation during virus replication in mammalian cells indicates the importance of maintaining cell membrane integrity.This study confirms the importance of bibliometric analysis in detecting and understanding the impact of COVID-19 at the genomic level, proposing several potential research targets and enhancing our understanding of the biological response to viral infection.
Using Ambient Intelligence ‘AMI’ to Manage Disaster Risk Reduction ‘DRR’
Authors: Waheeb Rasha
Published: January 2024

The use of artificial intelligence technologies may help companies obtain the optimal use of resources and accomplish more activities with an increase in productivity by 40%. With access to real-time data and the ability to learn from patterns and behaviors, AI can perform these routine tasks more efficiently. Ambient intelligence, Ami, is one of the applications of artificial intelligence, which is called artificial environmental intelligence, which is a concept that focuses on using technology to create an environment that is intelligent and responsive to the needs of its users. This technology has the potential to revolutionize disaster response and management, which in turn facilitates access to necessary information and resources. necessary vitality in the event of a crisis. It may use ambient intelligence to create a network of sensors that can detect and respond to changes in the environment. So that this network can be used to monitor the environment for potential disasters, such as floods, fires and earthquakes. Sensors can also be used to detect changes in temperature, humidity, and other environmental factors that may indicate a potential disaster. This information can then be used to alert emergency responders and provide them with the information needed to respond quickly and effectively. Ambient intelligence can also be used to create a comprehensive database of resources and information that can be accessed in times of crisis. This database may include information about the location of shelters, medical facilities, and other resources that can be used to assist those affected by a disaster. It may also provide information about the condition of roads, bridges, and other infrastructure that may be affected by a disaster. This information can be used to inform response and management decisions, helping to ensure that resources are used in the most efficient way possible. Ambient intelligence can be used to create a communication platform between emergency responders and those affected by a disaster. This platform can also be used to provide updates on the emergency situation, in addition to providing information about available resources to those affected. This can help ensure that those affected by a disaster can access the resources they need in a timely manner.
Harmonizing Learning Spaces: A Comprehensive review of Environmental Factors in Italian Schools with a Focus on the Impact of Acoustics
Authors: Di Loreto Samantha , Montelpare Sergio
Published: January 2024

Indoor comfort is a critical determinant of the holistic educational experience, significantly influencing the well-being, concentration, and performance of students within the confines of school environments. Despite the widespread implementation of heating, ventilation, and air conditioning (HVAC) systems in educational institutions, achieving satisfactory thermal conditions, acceptable acoustics, and optimal daylight levels for occupants continues to pose a considerable challenge. In this review, we specifically delves into the parameters characterizing Italian school environments, recognizing their direct impact on students’learning and concentration. The primary objectives of this review are conducting a thorough examination of the current acustic conditions in Italian schools. The initial phase of our search strategy involved retrieving data from key databases, namely, Scopus, Web of Science, ScienceDirect, PubMed, and Google Scholar. Following the elimination of duplicate articles (n = 289), a total of 135 distinct papers remained for analysis. A critical review of the existing literature is presented based on these criteria, offering guidelines and recommendations for forthcoming studies. The critical review underscores various shortcomings in the current design, deployment, and documentation of multi-domain studies, signaling the need for enhanced quality in future research efforts.