bluuebunny/crossref_metadata_2025 huggingface dataset:
Advancing Sustainable Innovations in Mulberry Vinegar Production: A Critical Review on Non-Thermal Pre-Processing Technologies
Authors: Boasiako Turkson Antwi , Boateng Isaac Duah , Ekumah John-Nelson , Johnson Nana Adwoa Nkuma , Appiagyei Jeffrey , Murtaza Mian Shamas , Mubeen Bismillah , Ma Yongkun
Published: January 2024

Mulberry is renowned for its medicinal properties and bioactive compounds, yet its high moisture content renders it highly perishable and challenging to transport over long distances. This inherent limitation to its shelf life poses sustainability challenges due to potential food waste and the increased carbon footprint associated with transportation. To address this issue sustainably, mulberry vinegar emerges as a biotechnological solution. Utilizing a fermented mixture of crushed mulberries, sugar, and mixed acid, transforms the highly perishable raw material into a more stable product. However, conventional methods of mulberry vinegar production often involve heat-intensive processing, which poses environmental concerns and energy inefficiencies. Recognizing the need for sustainable practices, this review delves into alternative non-thermal technologies (NTTs) that can revolutionize mulberry vinegar production. These technologies, such as ultrasonication, ultra-high-pressure homogenization, pulsed light treatments, enzyme-assisted pretreatment, and membrane filtration, offer eco-friendly alternatives by eliminating the need for excessive heat. NTTs enhance energy efficiency and sustainability in mulberry vinegar production by deactivating the microbes and extending the shelf life, thereby enhancing product stability and quality without using thermal methods. Ultrasonication, for example, plays a pivotal role in improving bioactive compound extraction, contributing to the overall quality enhancement of mulberry juice. Enzyme-assisted pretreatment, specifically with Pectinex Ultra SP-L and Viscozyme L, not only enhances juice quality, but also holds promise for sustainable vinegar production. Furthermore, ultra-high-pressure homogenization and pulsed light treatments positively influence mulberry processing, offering additional sustainable alternatives. Membrane filtration, especially ultrafiltration, not only enhances the phenolic content, but also contributes to stability in mulberry juice, showcasing potential benefits for vinegar production. In conclusion, exploring these NTTs represents a transformative shift from traditional heat treatment methods in mulberry food processing. By providing energy efficient, environmentally friendly, and high-quality alternatives, this review offers valuable insights into sustainable practices, particularly in mulberry vinegar production, thereby contributing to a more sustainable future for the mulberry food industry.
Analysis of the Spatial Effect of Carbon Emissions on Chinese Economic Resilience in the Context of Sustainability
Authors: Zhao Dandan , Jiang Yonghong
Published: January 2024

This paper focuses on the impact of carbon intensity on economic resilience in the context of the low-carbon development model and the promotion of sustainable development. Based on the provincial panel data from 2010 to 2021, this paper establishes a spatial econometric model to assess the impact of carbon intensity on economic resilience and applies the DID model to explore the impact of carbon emissions trading policies on economic resilience. It is found that carbon intensity suppresses the economic resilience of the local and associated regions. We also found through our research that carbon intensity can affect economic resilience through industrialization improvement and intensified pollution. In this situation, environmental regulatory policies are necessary to ensure sustainable development. The study found that the carbon emissions trading pilot policy could promote the input intensity in science and technology and technological manpower investments in the region, thus increasing the economic resilience. Moreover, the carbon emissions trading pilot policy is conducive to the economic resilience of neighboring regions. Based on the above research results, this paper proposes policy recommendations from three aspects: further promoting the upgrade of industrial structure and reducing carbon intensity; building a clean and low-carbon energy system to effectively reduce carbon and pollution emissions; and further improving the supporting measures for technological innovation to promote the economic resilience of developing countries and achieve sustainable development.
Supporting Home-Based Self-Regulated Learning for Secondary School Students: An Educational Design Study
Authors: Zuo Mingzhang , Zhong Qifang , Wang Qiyun , Yan Yujie , Liang Lingling , Gao Wenjing , Luo Heng
Published: January 2024

The implementation of home-based learning for secondary school students faces challenges such as weakened supervision, a lack of prior online learning experience, and low self-regulated learning (SRL) skills. To address this, we propose an implementation mechanism to help teachers develop students’ SRL skills in home-based learning environments. After three iterations of design, implementation, and evaluation, following the educational-design research approach, the proposed implementation mechanism was empirically validated and refined. The results confirmed the feasibility and effectiveness of the proposed framework, one which integrates strategies of goal setting and planning, self-monitoring, and self-evaluation. We also demonstrated that the designed implementation mechanism, which comprises the four components of sequence, resource, activity, and incentive, helped students master SRL skills and improve nonacademic performance. Lastly, we identified seven design principles that can guide educators in the adoption of similar practices to develop students’ SRL skills, particularly for future flexible and smart learning scenarios. These principles emphasize the motivational, sequential, social, and instrumental aspects of instructional design, and call for parental involvement and a flexible mindset during implementation. The paper ends with a discussion of several limitations regarding sample representativeness and data diversity that should be noted when interpreting the study results.
How Do International Contractors Choose Target Market Based on Environmental, Social and Governance Principles? A Fuzzy Ordinal Priority Approach Model
Authors: Zhou Wang , Xia Shuyue , Ye Jinglei , Zhang Na
Published: January 2024

Overseas market choice is very important for the survival and sustainable development of transnational construction enterprises. However, in previous studies, little attention has been given to overseas market choice models, particularly under the ESG (environmental, social and governance) goals. To bridge this gap, the study combined ESG principles and organizational ecology theory to construct an overseas market choice model for international contractors. Firstly, 17 influencing factors were identified based on a literature review. Then, a market choice model was conducted by using the fuzzy ordinal priority approach (OPA-F). Finally, this paper took Chinese international engineering consulting enterprises as an example to use in the proposed model. This study will help international contractors choose overseas markets more scientifically and rationally.
Modification of Intertwining Logistic Map and a Novel Pseudo Random Number Generator
Authors: Zhao Wenbo , Ma Caochuan
Published: January 2024

Chaotic maps have been widely studied in the field of cryptography for their complex dynamics. However, chaos-based cryptosystems have not been widely used in practice. One important reason is that the following requirements of practical engineering applications are not taken into account: computational complexity and difficulty of hardware implementation. In this paper, based on the demand for information security applications, we modify the local structure of the three-dimensional Intertwining Logistic chaotic map to improve the efficiency of software calculation and reduce the cost of hardware implementation while maintaining the complex dynamic behavior of the original map. To achieve the goal by reducing the number of floating point operations, we design a mechanism that can be decomposed into two processes. One process is that the input parameters value of the original system is fixed to 2k by Scale index analysis. The other process is that the transcendental function of the original system is replaced by a nonlinear polynomial. We named the new map as “Simple intertwining logistic”. The basic chaotic dynamic behavior of the new system for controlling parameter is qualitatively analyzed by bifurcation diagram and Lyapunov exponent; the non-periodicity of the sequence generated by the new system is quantitatively evaluated by using Scale index technique based on continuous wavelet change. Fuzzy entropy (FuzzyEn) is used to evaluate the randomness of the new system in different finite precision digital systems. The analysis and evaluation results show that the optimized map could achieve the designed target. Then, a novel scheme for generating pseudo-random numbers is proposed based on new map. To ensure its usability in cryptographic applications, a series of analysis are carried out. They mainly include key space analysis, recurrence plots analysis, correlation analysis, information entropy, statistical complexity measure, and performance speed. The statistical properties of the proposed pseudo random number generator (PRNG) are tested with NIST SP800-22 and DIEHARD. The obtained results of analyzing and statistical software testing shows that, the proposed PRNG passed all these tests and have good randomness. In particular, the speed of generating random numbers is extremely rapid compared with existing chaotic PRNGs. Compared to the original chaotic map (using the same scheme of random number generation), the speed is increased by 1.5 times. Thus, the proposed PRNG can be used in the information security.
Improvement and Replacement: The Dual Impact of Automation on Employees’ Job Satisfaction
Authors: Chen Fuping , Li Rongyu
Published: January 2024

Research focuses mainly on the impact of automation on employment and wages but pays little attention to its impact on employee job satisfaction, especially in the context of the Global South. Using survey data from China, this article investigates the impact of automation on employee job satisfaction due to the effects of job improvement and position replacement stress. The results indicate that automation can improve the job satisfaction of individual employees but reduces the job satisfaction of employees with a position that can be replaced easily by automation. The improvement and replacement effects coexist within the impact of automation. Through a structural equation model, this article finds that the improvement effect arises from an increase in job income, safety, and ability, whereas replacement stress is produced through the mediating effect of job stress and boredom. The heterogeneity analysis shows that the improvement effect is present in young employees with low job skills, position competency, and experience requirements, while replacement stress occurs in middle-aged and elderly employees with high job skills and high position competency and experience requirements. Our study provides evidence for the construction of an internal labor market in enterprises and labor policy interventions in the digital age.
Tidal Forces in Majumdar-Papapetrou Spacetimes
Authors: Albacete Eduardo , Richartz Maurício
Published: January 2024

Tidal disruption events occur when astrophysical objects are destroyed by black holes due to strong tidal force effects. Tidal forces have been studied in a variety of black hole spacetimes, including Reissner-Nordström and Kerr spacetimes. Despite the vast literature on the subject, tidal forces around black holes in static equilibrium have never been investigated before. The aim of this work is to fill in this gap and explore tidal forces in the Majumdar-Papapetrou spacetime describing two extremely charged binary black holes in equilibrium. We focus on tidal forces associated with radial and circular geodesics of massive neutral particles moving on the plane equidistant to the black holes. In particular, we study the behavior of the tidal forces as a function of the distance from the black holes and as a function of the energy of the geodesics. We also investigate the numerical solutions of the geodesic deviation equation for different initial conditions.
Coulomb-Nuclear Interference in Polarized pA Scattering
Authors: Kopeliovich Boris , Krelina Michal , Potashnikova Irina
Published: January 2024

We made the first attempt to understand the observed unusual t dependence of single-spin asymmetry observed in the HJET experiment at RHIC. Usually, the interaction of hadrons is presented as a long-range Coulomb interaction and a short-range strong interaction with Coulomb corrections. Such a division gives rise to a Coulomb phase of the hadronic term. Conversely, here we consider short-range hadronic interaction as a correction to the long-range electromagnetic term, i.e., we treat it as an absorptive correction. This significantly affects the Coulomb-nuclear interference, which is a source of single-spin azimuthal asymmetry at small angles.
Alpha Centauri: Disc Dynamics, Planet Stability, Detectability
Authors: Cuello Nicolás , Sucerquia Mario
Published: January 2024

Alpha Centauri is a triple stellar system, and it contains the closest star to Earth (Proxima Centauri). Over the last decades, the stars in Alpha Cen and their orbits have been investigated in great detail. However, the possible scenarios for planet formation and evolution in this triple stellar system remain to be explored further. First, we present a 3D hydrodynamical simulation of the circumstellar discs in the binary Alpha Cen AB. Then, we compute stability maps for the planets within Alpha Cen obtained through N-body integrations. Last, we estimate the radial velocity (RV) signals of such planets. We find that the circumstellar discs within the binary cannot exceed 3 au in radius and that the available dust mass to form planets is about 30 M⊕. Planets around A and B are stable if their semimajor axes are below 3 au, while those around C are stable and remain unperturbed by the binary AB. For rocky planets, the planetary mass has only a mild effect on the stability. Therefore, Alpha Cen could have formed and hosted rocky planets around each star, which may be detected with RV methods in the future. The exoplanetary hunt in this triple stellar system must continue.
Gauss’s Law and a Gravitational Wave
Authors: Odutola Olamide , Dasgupta Arundhati
Published: January 2024

In this paper, we discuss the semi-classical gravitational wave corrections to Gauss’s law and obtain an explicit solution for the electromagnetic potential. The gravitational wave perturbs the Coulomb potential with a function that propagates it to the asymptotics.
Safety, Immunogenicity, and Mechanism of a Rotavirus mRNA-LNP Vaccine in Mice
Authors: Lu Chenxing , Li Yan , Chen Rong , Hu Xiaoqing , Leng Qingmei , Song Xiaopeng , Lin Xiaochen , Ye Jun , Wang Jinlan , Li Jinmei , Yao Lida , Tang Xianqiong , Kuang Xiangjun , Zhang Guangming , Sun Maosheng , Zhou Yan , Li Hongjun
Published: January 2024

Rotaviruses (RVs) are a major cause of diarrhea in young children worldwide. The currently available and licensed vaccines contain live attenuated RVs. Optimization of live attenuated RV vaccines or developing non-replicating RV (e.g., mRNA) vaccines is crucial for reducing the morbidity and mortality from RV infections. Herein, a nucleoside-modified mRNA vaccine encapsulated in lipid nanoparticles (LNP) and encoding the VP7 protein from the G1 type of RV was developed. The 5′ untranslated region of an isolated human RV was utilized for the mRNA vaccine. After undergoing quality inspection, the VP7-mRNA vaccine was injected by subcutaneous or intramuscular routes into mice. Mice received three injections in 21 d intervals. IgG antibodies, neutralizing antibodies, cellular immunity, and gene expression from peripheral blood mononuclear cells were evaluated. Significant differences in levels of IgG antibodies were not observed in groups with adjuvant but were observed in groups without adjuvant. The vaccine without adjuvant induced the highest antibody titers after intramuscular injection. The vaccine elicited a potent antiviral immune response characterized by antiviral clusters of differentiation CD8+ T cells. VP7-mRNA induced interferon-γ secretion to mediate cellular immune responses. Chemokine-mediated signaling pathways and immune response were activated by VP7-mRNA vaccine injection. The mRNA LNP vaccine will require testing for protective efficacy, and it is an option for preventing rotavirus infection.
Human Betacoronavirus OC43 Interferes with the Integrated Stress Response Pathway in Infected Cells
Authors: Dolliver Stacia M. , Galbraith Caleb , Khaperskyy Denys A.
Published: January 2024

Viruses evolve many strategies to ensure the efficient synthesis of their proteins. One such strategy is the inhibition of the integrated stress response—the mechanism through which infected cells arrest translation through the phosphorylation of the alpha subunit of the eukaryotic translation initiation factor 2 (eIF2α). We have recently shown that the human common cold betacoronavirus OC43 actively inhibits eIF2α phosphorylation in response to sodium arsenite, a potent inducer of oxidative stress. In this work, we examined the modulation of integrated stress responses by OC43 and demonstrated that the negative feedback regulator of eIF2α phosphorylation GADD34 is strongly induced in infected cells. However, the upregulation of GADD34 expression induced by OC43 was independent from the activation of the integrated stress response and was not required for the inhibition of eIF2α phosphorylation in virus-infected cells. Our work reveals a complex interplay between the common cold coronavirus and the integrated stress response, in which efficient viral protein synthesis is ensured by the inhibition of eIF2α phosphorylation but the GADD34 negative feedback loop is disrupted.
Investigating the Nexus of NLRP3 Inflammasomes and COVID-19 Pathogenesis: Unraveling Molecular Triggers and Therapeutic Strategies
Authors: He Qun , Hu Da , Zheng Fuqiang , Chen Wenxuan , Hu Kanghong , Liu Jinbiao , Yao Chenguang , Li Hanluo , Wei Yanhong
Published: January 2024

The coronavirus disease 2019 (COVID-19) global pandemic, caused by severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), has been marked by severe cases demonstrating a “cytokine storm”, an upsurge of pro-inflammatory cytokines in the bloodstream. NLRP3 inflammasomes, integral to the innate immune system, are speculated to be activated by SARS-CoV-2 within host cells. This review investigates the potential correlation between NLRP3 inflammasomes and COVID-19, exploring the cellular and molecular mechanisms through which SARS-CoV-2 triggers their activation. Furthermore, promising strategies targeting NLRP3 inflammasomes are proposed to mitigate the excessive inflammatory response provoked by SARS-CoV-2 infection. By synthesizing existing studies, this paper offers insights into NLRP3 as a therapeutic target, elucidating the interplay between COVID-19 and its pathophysiology. It serves as a valuable reference for future clinical approaches in addressing COVID-19 by targeting NLRP3, thus providing potential avenues for therapeutic intervention.
The Mathematical Modeling of the Host–Virus Interaction in Dengue Virus Infection: A Quantitative Study
Authors: Xu Zhaobin , Zhang Hongmei , Yang Dongying , Wei Dongqing , Demongeot Jacques , Zeng Qiangcheng
Published: January 2024

Infectious diseases, such as Dengue fever, pose a significant public health threat. Developing a reliable mathematical model plays a crucial role in quantitatively elucidating the kinetic characteristics of antibody–virus interactions. By integrating previous models and incorporating the antibody dynamic theory, we have constructed a novel and robust model that can accurately simulate the dynamics of antibodies and viruses based on a comprehensive understanding of immunology principles. It explicitly formulates the viral clearance effect of antibodies, along with the positive feedback stimulation of virus–antibody complexes on antibody regeneration. In addition to providing quantitative insights into the dynamics of antibodies and viruses, the model exhibits a high degree of accuracy in capturing the kinetics of viruses and antibodies in Dengue fever patients. This model offers a valuable solution to modeling the differences between primary and secondary Dengue infections concerning IgM/IgG antibodies. Furthermore, it demonstrates that a faster removal rate of antibody–virus complexes might lead to a higher peak viral loading and worse clinical symptom. Moreover, it provides a reasonable explanation for the antibody-dependent enhancement of heterogeneous Dengue infections. Ultimately, this model serves as a foundation for constructing an optimal mathematical model to combat various infectious diseases in the future.
Examining Chronic Inflammation, Immune Metabolism, and T Cell Dysfunction in HIV Infection
Authors: Mu Wenli , Patankar Vaibhavi , Kitchen Scott , Zhen Anjie
Published: January 2024

Chronic Human Immunodeficiency Virus (HIV) infection remains a significant challenge to global public health. Despite advances in antiretroviral therapy (ART), which has transformed HIV infection from a fatal disease into a manageable chronic condition, a definitive cure remains elusive. One of the key features of HIV infection is chronic immune activation and inflammation, which are strongly associated with, and predictive of, HIV disease progression, even in patients successfully treated with suppressive ART. Chronic inflammation is characterized by persistent inflammation, immune cell metabolic dysregulation, and cellular exhaustion and dysfunction. This review aims to summarize current knowledge of the interplay between chronic inflammation, immune metabolism, and T cell dysfunction in HIV infection, and also discusses the use of humanized mice models to study HIV immune pathogenesis and develop novel therapeutic strategies.
Old and New Aphid-Borne Viruses in Coriander in Chile: An Epidemiological Approach
Authors: Zamorano Alan , Carevic Paulina , Gamboa Camila , Cui Weier , Curkovic Tomislav , Córdova Pamela , Higuera Gastón , Ramos-Castillo Luz , Quiroga Nicolás , Fiore Nicola
Published: January 2024

In Chile, edible herbs are mainly grown by small farmers. This type of horticultural crop typically requires intensive management because it is highly susceptible to insects, some of which transmit viruses that severely affect crop yield and quality. In 2019, in coriander plants tested negative for all previously reported viruses, RNA-Seq analysis of one symptomatic plant revealed a plethora of viruses, including one virus known to infect coriander, five viruses never reported in coriander, and a new cytorhabdovirus with a 14,180 nucleotide RNA genome for which the species name Cytorhabdovirus coriandrum was proposed. Since all the detected viruses were aphid-borne, aphids and weeds commonly growing around the coriander field were screened for viruses. The results showed the occurrence of the same seven viruses and the alfalfa mosaic virus, another aphid-borne virus, in aphids and weeds. Together, our findings document the presence of multiple viruses in coriander and the potential role of weeds as virus reservoirs for aphid acquisition.
Incidence and Nature of Short-Term Adverse Events following COVID-19 Second Boosters: Insights from Taiwan’s Universal Vaccination Strategy
Authors: Lin Ching-Hao , Chen Tsung-An , Chiang Pin-Hsuan , Hsieh Ai-Ru , Wu Bih-Ju , Chen Po-Yu , Lin Kuan-Chen , Tsai Zih-Syun , Lin Ming-Hwai , Chen Tzeng-Ji , Chen Yu-Chun
Published: January 2024

This study evaluates the incidence and characteristics of adverse events (AEs) following the second COVID-19 booster dose, leveraging Taiwan’s distinctive approach of extending booster vaccinations to all citizens, unlike the targeted high-risk group strategies in other countries. Utilizing data from Taipei Veterans General Hospital’s Vaccine Adverse Event Reporting System (VAERS) from 27 October 2022 to 19 January 2023, this research examines AEs in 441 out of 1711 booster recipients, considering factors like age, vaccine brands, and booster combinations. The findings revealed incidence rates (IRs) of 25.6% (95% CI: 21.1–30.8) after the first booster and 24.9% (95% CI: 20.5–30.0) after the second, mostly non-serious, with those having AEs post-first booster being five times more likely to report them again (incidence rate ratio, 5.02, p < 0.001). Significantly, switching from the mRNA1273 vaccine to another brand reduced AE risk by 18%. This study underscores that AEs are more repetitive than cumulative with additional booster doses, advocating for personalized vaccination strategies based on individual medical histories and previous vaccine reactions. These insights are valuable for healthcare providers in discussing potential AEs with patients, thereby improving vaccine compliance and public trust, and for policymakers in planning future booster vaccination strategies.
Correction: Nian et al. Coping Strategies for Pertussis Resurgence. Vaccines 2023, 11, 889
Authors: Nian Xuanxuan , Liu Hongbo , Cai Mengyao , Duan Kai , Yang Xiaoming
Published: January 2024

The authors would like to make the following corrections to this published paper [...]
Deep Learning-Based Stereopsis and Monocular Depth Estimation Techniques: A Review
Authors: Lahiri Somnath , Ren Jing , Lin Xianke
Published: January 2024

A lot of research has been conducted in recent years on stereo depth estimation techniques, taking the traditional approach to a new level such that it is in an appreciably good form for competing in the depth estimation market with other methods, despite its few demerits. Sufficient progress in accuracy and depth computation speed has manifested during the period. Over the years, stereo depth estimation has been provided with various training modes, such as supervised, self-supervised, and unsupervised, before deploying it for real-time performance. These modes are to be used depending on the application and/or the availability of datasets for training. Deep learning, on the other hand, has provided the stereo depth estimation methods with a new life to breathe in the form of enhanced accuracy and quality of images, attempting to successfully reduce the residual errors in stages in some of the methods. Furthermore, depth estimation from a single RGB image has been intricate since it is an ill-posed problem with a lack of geometric constraints and ambiguities. However, this monocular depth estimation has gained popularity in recent years due to the development in the field, with appreciable improvements in the accuracy of depth maps and optimization of computational time. The help is mostly due to the usage of CNNs (Convolutional Neural Networks) and other deep learning methods, which help augment the feature-extraction phenomenon for the process and enhance the quality of depth maps/accuracy of MDE (monocular depth estimation). Monocular depth estimation has seen improvements in many algorithms that can be deployed to give depth maps with better clarity and details around the edges and fine boundaries, which thus helps in delineating between thin structures. This paper reviews various recent deep learning-based stereo and monocular depth prediction techniques emphasizing the successes achieved so far, the challenges acquainted with them, and those that can be expected shortly.
Data-Driven Deformation Prediction of Accumulation Landslides in the Middle Qinling-Bashan Mountains Area
Authors: Ma Juan , Yang Qiang , Zhang Mingzhi , Chen Yao , Zhao Wenyi , Ouyang Chengyu , Ming Dongping
Published: January 2024

Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement–time curves offer an intuitive reflection of the landslide motion process and deformation predictions often reference the Saito curve for correlational analysis with cumulative deformation curves. Many scholars have applied machine learning techniques to individual landslide deformation predictions with considerable success. However, most landslide monitoring data lack a full lifecycle, making it challenging to predict unexperienced evolutionary stages. Cross-learning between similar landslide datasets provides a potential solution to issues of data scarcity and accurate prediction. First, this paper proposes a landslide classification and displacement machine learning method, along with predictive performance evaluation metrics. Further, it details a study of 13 landslides with evident deformation signs in the middle Qinling–Bashan Mountains area, conducting refined landslide classification. Based on a data-driven approach, this study conducts an analysis of the importance of characteristics influencing landslide deformation and establishes predictive models for similar-type landslide deformation, mixed-type landslide deformation, and individual landslide deformation using machine learning algorithms. The models trained on the dataset are used to predict the deformation of the West of Yinpo Yard landslide at different periods, with the predictive performance evaluated using two indices. The results indicate that the models trained on similar-type landslide data and those based on individual landslide data yielded comparable predictive performances, substantially addressing challenges such as insufficient early-stage monitoring data and low prediction accuracy.
An Assessment of Six Years of Precipitation Stable Isotope and Tritium Activity Concentration Records at Station Sv. Urban, Eastern Slovenia
Authors: Vreča Polona , Kanduč Tjaša , Štrok Marko , Žagar Klara , Nigro Matteo , Barsanti Michele
Published: January 2024

We present data from six years (January 2016–December 2021) of monitoring the isotope composition of precipitation at the Sv. Urban station in Eastern Slovenia. The 68 precipitation samples were collected as a monthly composite. The complete dataset (193 data pints) includes information on the stable isotope composition of hydrogen (δ2H) and oxygen (δ18O) and tritium activity concentration (A), obtained using isotope ratio mass spectrometry (IRMS) and liquid scintillation counting (LSC) following electrolytic enrichment (EE), respectively. The isotope data, together with meteorological data, are reported. Calculations of the deuterium excess (d-excess), monthly, seasonal, and annual unweighted and precipitation-weighted means and local meteoric water lines (LMWLs) were conducted. The mean values for δ2H, δ18O, d-excess, and A, weighted by precipitation, were −59.9‰, −8.81‰, 10.6‰, and 7.7 TU. The disparities between unweighted and precipitation-weighted δ2H, δ18O, d-excess, A, and LMWLs underscore the significance of non-uniformly distributed precipitation. Annual variations in slope and intercept of the LMWLs emphasize the importance of longer data records (48+ months) to capture consistent trends, while combining data over longer periods may distort accuracy due to distinct isotope differences between individual years related to the variability of climate conditions typical for Slovenia.
Temperature Drainage and Environmental Impact of Water Source Heat Pump Energy Station
Authors: Ren Zhigang , Yang Shize , Zhang Jiaji , Wang Qiankun , Gui Shuqiang , Zhou Junli , Tang Yuyang , Zhu Ke , Shen Chuxiong , Xiong Zhihua , Sun Jinlong , Qiu Xinpeng , Chen Zhuo
Published: January 2024

The discharge of warm water from water source heat pump (WSHP) energy stations can cause local changes in the water temperature, leading to changes in the water quality around and downstream of the discharge outlet, resulting in a cumulative effect that alters the aquatic habitat elements and affects the ecosystem stability. This study took the demonstration project of the water source heat pump energy station in the Hankou Binjiang International Business District of Wuhan City as an example. Based on measured data, this study established the control equation for the warm water discharge of the project and used FLUENT 2022 R1 software to establish a numerical model of warm water diffusion. This study analyzed the changes in discharge water temperature during unfavorable conditions in both summer and winter during dry and wet seasons by using four parameters: equal area surface, volume, length, and width of the area of influence. The results suggest that the impact of the project’s warm water discharge on the temperature of the river body will quickly decay and its impact range will be limited. Hence, the project will not have adverse effects on the water and ecological environment in the mid–lower reaches of the Yangtze River.
Research on Water Resource Modeling Based on Machine Learning Technologies
Authors: Liu Ze , Zhou Jingzhao , Yang Xiaoyang , Zhao Zechuan , Lv Yang
Published: January 2024

Water resource modeling is an important means of studying the distribution, change, utilization, and management of water resources. By establishing various models, water resources can be quantitatively described and predicted, providing a scientific basis for water resource management, protection, and planning. Traditional hydrological observation methods, often reliant on experience and statistical methods, are time-consuming and labor-intensive, frequently resulting in predictions of limited accuracy. However, machine learning technologies enhance the efficiency and sustainability of water resource modeling by analyzing extensive hydrogeological data, thereby improving predictions and optimizing water resource utilization and allocation. This review investigates the application of machine learning for predicting various aspects, including precipitation, flood, runoff, soil moisture, evapotranspiration, groundwater level, and water quality. It provides a detailed summary of various algorithms, examines their technical strengths and weaknesses, and discusses their potential applications in water resource modeling. Finally, this paper anticipates future development trends in the application of machine learning to water resource modeling.
On the ways of product quality fixation from the perspective of consumption psychology theory
Authors: Reznik Elena Anatolyevna
Published: January 2024

The notions of product quality fixation ways are characterized in the given paper. It also contains opinions of different authors on the consumption psychology characteristics and specifies the importance of personal features of consumers and peculiarities of marketing communications for study. The article gives the notion of marketing communications and substantiates that quality management systems (QMS) are marketing communications. It also demonstrates that ISO standards in the sphere of quality management are aimed at developing effective models of business communications. The author of the paper focuses on the fact that certificates and standards lose importance, to some extent, due to the invention and development of “bypasses” for standardization and certification of both the products themselves and business management systems that results in the formality and inefficiency of such tools, which give only the appearance of the qualitative products. The conclusions are made that branding, as an alternative market tool, which can comprise both quality standards and conformance certificates, is such a tool of the marketing communication, which is formed based on a consumer’s demand and product market characteristics; branding is competitive and it is attractive from the investment point to more extent.
Changes in the semantic profile to evaluate the quality and safety of life
Authors: Ridei Nataliia , Tytova Nataliia , Sydorenko Tetiana , Tsymbal Svitlana , Liashenko Maryna
Published: January 2024

The purpose of the article is to highlight the specifics of changing the parameters of the semantic profile in determining the indicators of quality and safety of life. Modern civilizational development is characterized by dynamism and flexibility, which directly affects human and social life and requires new algorithms for determining the level of quality and security in both the existential and institutional, as well as in the value and functional dimensions. The purpose of the research is to determine the relationship between socio-cultural factors that have dynamic characteristics with constant constants of the semantic differential. The research methodology focuses on the use of general scientific (primarily analytical) methods and philosophical and methodological synergistic principles. The results of the study indicate that there are three formats of this interaction: changing profile parameters under the influence of socio-cultural activity; preservation of profile constants regardless of socio-cultural realities; synergistic mutual transformation of indicators of socio-cultural life and the semantic profile of its assessment. The scientific novelty of the work is focused on the introduction of a dynamic dimension to the impact assessment and measurement of the parameters of quality and safety of life using a semantic profile. Thus, the problem of quality and safety of life in both the theoretical and ideological and practice-oriented dimensions receives new mechanisms and tools for assessing and measuring the level of viability in modern civilisational progress. The semantic profile is no longer a stable format for assessing the quality and safety of life, but a dynamic method that is able to operate with variable data, transforming its own parameters.
Photo-Driven In Situ Solidification of Whole Cells through Inhibition of Trogocytosis for Immunotherapy
Authors: Liu Hao , Huang Ke , Zhang Hao , Liu Xiaohui , Jiang Hui , Wang Xuemei
Published: January 2024

Achieving antitumor immunotherapy based on hybridization of multiple types of inactivated cells has attracted a lot of attention. However, the hybridized cells of disordered structure could result in the shedding of antigens and their transfer to immune cells, which suppresses tumor immunity through trogocytosis. Here, we report a strategy for in situ solidification of tumor whole cell by biomineralization for sustained stimulation of antitumor immunity. The near-infrared light was used to accelerate the breaking of Au=P bonds in auranofin, and the exposed Au atoms biomineralize at the secondary structure (β-corner) of the protein to form Au nanocrystals with in situ protein coronas in tumor cells. Au nanocrystals are anchored to the tumor cells through protein coronas, which fixes the morphology and antigens of whole tumor cells, rendering them physiologically inactive. Interestingly, this solidified tumor cell prevents immune cells from undergoing trogocytosis, which inhibits proximal and distal tumor growth. Thus, this study presents the strategy of solidified cells and its potential application in tumor immunotherapy.
METTL3-Mediated LINC00475 Alternative Splicing Promotes Glioma Progression by Inducing Mitochondrial Fission
Authors: Yan Yaping , Luo Ailing , Liu Shanshan , Cai Mansi , Liu Xiaodan , Zhang Xiaohong , Zhang Siyi , Liu Yu , Zeng Jiamin , Xu Xinke , Zhang Na , Zhang Zhuorong , Xu Yingyi , He Jing , Liu Xiaoping
Published: January 2024

Mitochondrial fission promotes glioma progression. The function and regulation mechanisms of lncRNAs in glioma mitochondrial fission are unclear. The expression of LINC00475 and its correlation with clinical parameters in glioma were analyzed using bioinformatics. Then, in vitro and in vivo assays were performed to explore the function of spliced variant LINC00475 (LINC00475-S) in gliomas. To explore the mechanisms, RNA-seq, MeRIP, RIP, pulldown-IP, dCas9-ALKBH5 editing system, LC/MS, and Western blotting were utilized. LINC00475 was confirmed to be overexpressed and with higher frequencies of AS events in gliomas compared to normal brain tissue and was associated with worse prognosis. In vitro and animal tumor formation experiments demonstrated that the effect of LINC00475-S on proliferation, metastasis, autophagy, and mitochondrial fission of glioma cells was significantly stronger than that of LINC00475. Mechanistically, METTL3 induced the generation of LINC00475-S by splicing LINC00475 through m6A modification and subsequently promotes mitochondrial fission in glioma cells by inhibiting the expression of MIF. Pull-down combined LC/MS and RIP assays identified that the m6A recognition protein HNRNPH1 bound to LINC00475 within GYR and GY domains and promoted LINC00475 splicing. METTL3 facilitated HNRNPH1 binding to LINC00475 in an m6A-dependent manner, thereby inducing generation of LINC00475-S. METTL3 facilitated HNRNPH1-mediated AS of LINC00475, which promoted glioma progression by inducing mitochondrial fission. Targeting AS of LINC00475 and m6A editing could serve as a therapeutic strategy against gliomas.
Analisis Kompetensi Pedagogik Kinerja Guru MI Program Khusus Al-Ikhlas Tengaran Kabupaten Semarang
Authors: Nugrahaini Anisa , Biantoro Oktio Frenki
Published: January 2024

Penelitian ini bertujuan untuk menganalisis kompetensi pedagogik guru pada kinerja. Serta dampak dari kompetensi pedagogik guru di Madrasah Ibtidaiyah Program Khusus Al-Ikhlas Kec. Tengatan Kab. Semarang. Jenis penelitian ini bersifat kualitatif dengan menggunakan pendekatan kualitatif studi kasus. Teknik pengumpulan data pada penelitian ini yaitu menggunakan wawancara dan dokumentasi, informan utama pada penelitian ini adalah kepala sekolah dan guru kelas. Analisis data pada penelitian ini menggunakan reduksi data, display data dan verifikasi data. Pengecekan keabsahan data dalam penelitian ini menggunakan teknik triangulasi sumber. Hasil penelitian ini menunjukan bahwa: (1) kompetensi pedagogik pada kinerja guru sudah baik. Guru sudah melakukan evaluasi dalam pembelajaran sesuai indikator. Pengembangan silabus dan kurikulum dilakukan di setiap awal tahun. Materi yang diajarkan sesuai dengan rencana pembelajaran. (2) dampak kompetensi pedagogik guru pada kinerja dan prestasi belajar siswa menunjukan bahwa kompetensi pedagogik yang baik berdampak positif pada kinerja guru dan prestasi belajar siswa. Ketika seorang guru memiliki pemahaman yang mendalam tentang kurikulum dan strategi pengajaran maka akan terbentuk proses pembelajaran yang efektif.
Gangguan Kepribadian Guru Dan Pengaruhnya terhadap Pembelajaran di MI/SD
Authors: Faizin Muh Hasan , Sriyanti Lilik
Published: January 2024

Tujuan penelitian ini adalah mendeskripsikan gangguan-gangguan kepribadian guru dan pengaruhnya dalam pembelajaran, serta penanganannya. Terapi yang dapat diberikan kepada orang yang mengalami gangguan kepribadian yaitu psikoterapi dan farmakoterapi. Ganggguan kepribadian guru berdampak terhadap pengelolaan kelas dan tentunya akan merusak siklus belajar mengajar. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif dengan menerapkan metode penelitian kepustakaan. Data yang dikumpulkan dalam penelitian ini dari platform Google Scholar dan Google Bookcs. Teknik yang diterapkan dalam penelitian ini adalah studi dokumen. Gangguan kepribadian guru merupakan masalah serius yang dapat memengaruhi kualitas pendidikan. Faktor-faktor seperti beban kerja tinggi, konflik dalam lingkungan kerja, dan masalah kepemimpinan diidentifikasi sebagai penyebab utama gangguan kepribadian guru. Gangguan ini berdampak pada pembentukan karakter siswa, minat belajar, motivasi belajar, dan manajemen kelas. Untuk mengatasi gangguan kepribadian guru, langkah-langkah seperti dukungan psikologis, peningkatan kesadaran tentang kesehatan mental, dan perbaikan lingkungan kerja dianjurkan. Penelitian ini menggarisbawahi pentingnya menjaga kesejahteraan guru untuk meningkatkan kualitas pendidikan.
Kontemplasi Pemikiran Wasathiyyah dalam Pendidikan Islam
Authors: Maghfiroh Anis , Nursikin Mukh
Published: January 2024

Dalam konteks pendidikan Islam, pemikiran Wasatiyyah menonjolkan prinsip-prinsip keadilan, kebebasan berpikir, dan pengetahuan umum. Hal ini menjadikannya sebagai sumber inspirasi utama bagi para pemikir dan praktisi pendidikan Islam dalam menghadapi berbagai tantangan era modern. Penelitian ini menggunakan metode kepustakaan (library research) dan kajian literatur sebagai pendekatan utamanya. Analisis literatur, termasuk buku-buku dan sumber-sumber daring, menjadi elemen integral dalam upaya mendalam untuk memahami bagaimana konsep Wasatiyyah dalam konteks pendidikan Islam mendorong umatnya mencapai keseimbangan dalam berbagai aspek kehidupan. Pemikiran Wasatiyyah memiliki dampak yang signifikan dalam hal ini karena mengusung gagasan bahwa pendidikan Islam harus memadukan nilai-nilai agama dengan tuntutan dunia modern untuk menciptakan harmoni yang berkelanjutan. Penelitian ini berupaya untuk memberikan wawasan yang mendalam tentang kontribusi pemikiran Wasatiyyah dalam pengembangan pendidikan Islam yang relevan di era saat ini.
Education on the role of family in stunting prevention in toddlers
Authors: Nordianiwati Nordianiwati , Gilang Fitriana Nur , Situmean Lamria , Aris Tyarini Indrawati , Setyawati Ari
Published: January 2024

Stunting in toddlers is a global health problem that requires serious attention, especially in developing countries. This community service activity aims to examine the role of families in stunting prevention in toddlers, focusing on educational aspects. The family has a significant role in ensuring the optimal growth and development of children. This community service activity is carried out through the planning, implementation, and evaluation stages. The results showed that family education is closely related to stunting prevention, involving understanding nutrition, healthy eating, sanitation, and hygiene practices. Factors such as a family's education level, socioeconomic status, and access to health services affect a family's ability to implement stunting prevention practices. Therefore, appropriate and easily accessible educational programmes need to be developed to increase family knowledge and awareness about the importance of child growth and development. This activity recommends that the government, health institutions, and health practitioners integrate educational approaches into stunting prevention programmes. Collaborative efforts between various parties are needed to create an environment that supports optimal child growth and reduces stunting at the population level.
Analisis Respon Dinamik Windshield Pesawat Komuter 19 Penumpang Terhadap Fenomena Bird Strike Menggunakan Metode Coupled Eulerian-Lagrangian (CEL)
Authors: Tambunan Pangihutan , Warsiyanto Budi Aji , Yuniarti Endah , Fitriansyah Rizky
Published: January 2024

Fenomena tabrak burung sering terjadi pada saat operasi pesawat terbang yang menyebabkan kerusakan fatal pada struktur pesawat dan mengancam keselamatan operasi penerbangan. Kerusakan struktur pesawat dapat menyebabkan kecelakaan dan korban jiwa. Untuk menunjang keselamatan penumpang pesawat terbang, setiap komponen pada pesawat harus lulus uji. Windshield merupakan komponen yang harus diuji untuk memenuhi persyaratan sertifikasi pada kasus bird strike berdasarkan regulasi keselamatan penerbangan sipil atau Civil Aviation Safety Regulation (CASR) subbagian 23.775. Tujuan tugas akhir ini adalah untuk mengetahui respon dinamik windshield terhadap variasi parameter tumbukan dan kegagalan material windshield. Pada simulasi ini, bentuk material dari burung menggunakan jenis EOS Tabular dan material windshield menggunakan polimetil metakrilat. Untuk pemodelan windshield dan burung menggunakan metode Coupled Eulerian-Lagrangian (CEL). Pada variasi kecepatan, parameter tumbukan yang menyebabkan respon dinamik windshield berupa deformasi elastis, plastis, kegagalan paling besar terjadi pada kecepatan 80 m/s dan pada variasi sudut, kegagalan paling besar terjadi pada sudut tumbukan -150. Area lubang baut bagian atas lebih rentan terjadi kegagalan material dikarenakan adanya konsentrasi tegangan.