bluuebunny/crossref_metadata_2025 huggingface dataset:
Ornidazole Transfer into Colostrum and Assessment of Exposure Risk for Breastfeeding Infant: A Population Pharmacokinetic Analysis
Authors: Li Sichan , Cao Ming , Zhou Yan , Shu Chang , Wang Yang
Published: October 2023

Ornidazole is frequently used for the prevention and treatment of anaerobic infections after caesarean section. There is still a lack of data on the excretion of ornidazole in breast milk. Therefore, the aim of this study was to investigate the transfer of ornidazole into colostrum and to assess the risk of infant exposure to the drug via breast milk. Population pharmacokinetic analysis was conducted using datasets of plasma and milk concentrations obtained from 77 breastfeeding women to examine the excretion kinetics of ornidazole. Various factors that may affect the excretion of ornidazole were investigated. The final model was then used to simulate ornidazole concentration–time profiles in both plasma and milk. The drug exposure in body fluids and the potential risk for breastfeeding were assessed based on the safety threshold. Plasma ornidazole concentration data could be described well by a one-compartment model, and concentrations in breast milk were linked to this model using an estimated milk-to-plasma concentration ratio (MPRcon). Significant variables that influenced drug exposure and MPRcon were identified as total bilirubin levels (TBIL) and postnatal sampling time, respectively. Simulations showed that women with abnormal liver function (TBIL > 17 μmol/L) had higher ornidazole levels in plasma and milk than those with normal liver function (TBIL < 17 μmol/L), but the exposures through colostrum of lactating women from both groups were below the safety threshold. This work provides a simple and feasible strategy for the prediction of drug exposure in breast milk and the assessment of breastfeeding safety.
Viability of Glycolysis for the Chemical Recycling of Highly Coloured and Multi-Layered Actual PET Wastes
Authors: Asueta Asier , Arnaiz Sixto , Miguel-Fernández Rafael , Leivar Jon , Amundarain Izotz , Aramburu Borja , Gutiérrez-Ortiz Jose Ignacio , López-Fonseca Rubén
Published: October 2023

The chemical recycling of poly(ethylene terephthalate) –PET– fractions, derived from actual household packaging waste streams, using solvolysis, was investigated. This recycling strategy was applied after a previous on-line automatic identification, by near-infrared spectroscopy –NIR–, and a subsequent selective sorting of the different PET materials that were present in the packaging wastes. Using this technology, it was possible to classify fractions exclusively including PET, virtually avoiding the presence of both other plastics and materials, such as paper, cardboard and wood, that are present in the packaging wastes, as they were efficiently recognised and differentiated. The simple PET fractions, including clear and monolayered materials, were adequate to be recycled by mechanical means meanwhile the complex PET fractions, containing highly coloured and multi-layered materials, were suitable candidates to be recycled by chemical routes. The depolymerisation capacity of the catalytic glycolysis, when applied to those complex PET wastes, was studied by evaluating the effect of the process parameters on the resulting formation and recovery of the monomer bis(2-hydroxyethyl) terephthalate –BHET– and the achieved quality of this reaction product. Comparable and reasonable results, in terms of monomer yield and its characteristics, were obtained independently of the type of complex PET waste that was chemically recycled.
A Comprehensive Mechanical Examination of ABS and ABS-like Polymers Additively Manufactured by Material Extrusion and Vat Photopolymerization Processes
Authors: Golubović Zorana , Danilov Ivan , Bojović Božica , Petrov Ljubiša , Sedmak Aleksandar , Mišković Žarko , Mitrović Nenad
Published: October 2023

Additive manufacturing technologies have developed rapidly in recent decades, pushing the limits of known manufacturing processes. The need to study the properties of the different materials used for these processes comprehensively and in detail has become a primary goal in order to get the best out of the manufacturing itself. The widely used thermoplastic polymer material acrylonitrile butadiene styrene (ABS) was selected in the form of both filaments and ABS-like resins to investigate and compare the mechanical properties through a series of different tests. ABS-like resin material is commercially available, but it is not a sufficiently mechanically studied form of the material, which leads to the rather limited literature. Considering that ABS resin is a declared material that behaves like the ABS filament but in a different form, the objective of this study was to compare these two commercially available materials printed with three different 3D printers, namely Fused Deposition Modelling (FDM), Stereolithography (SLA) and Digital Light Processing (DLP). A total of 45 test specimens with geometries and test protocols conforming to the relevant standards were subjected to a series of tensile, three-point bending and compression tests to determine their mechanical properties. Characterization also included evaluation of morphology with 2D and 3D microscopy, dimensional accuracy of 3D scans, and Shore A hardness of each material and 3D printing process. Tensile testing results have shown that FDM toughness is 40% of the value for DLP. FDM elongation at break is 37% of DLP, while ultimate tensile stress for SLA is 27% higher than FDM value. Elastic modulus for FDM and SLA coincide. Flexure testing results indicate that value of DLP flexural modulus is 54% of the FDM value. SLA strain value is 59% of FDM, and DLP ultimate flexure stress is 77% of the value for FDM. Compression test results imply that FDM specimens absorb at least twice as much energy as vat polymerized specimens. Strain at break for SLA is 72% and strain at ultimate stress is 60% of FDM values. FDM yield stress is 32% higher than DLP value. SLA ultimate compressive stress is half of FDM, while value for DLP compressive modulus is 69% of the FDM value. The results obtained are beneficial and give a more comprehensive picture of the behavior of the ABS polymers used in different forms and different AM processes.
Study into the Fire and Explosion Characteristics of Polymer Powders Used in Engineering Production Technologies
Authors: Kuracina Richard , Szabová Zuzana , Buranská Eva , Kosár László , Rantuch Peter , Blinová Lenka , Měřínská Dagmar , Gogola Peter , Jurina František
Published: October 2023

Polymers and their processing by engineering production technologies (injection, molding or additive manufacturing) are increasingly being used. Polymers used in engineering production technologies are constantly being developed and their properties are being improved. Granulometry, X-ray, FTIR and TGA were used to characterize polymer samples. Determination of the fire parameters of powder samples of polyamide (PA) 12, polypropylene, and ultra-high molecular weight (UHMW) polyethylene is the subject of the current article. An explosive atmosphere can be created by the powder form of these polymer materials, and introduction of preventive safeguards to ensure safety is required for their use. Although the fire parameters of these basic types of polymers are available in databases (e.g., GESTIS-DustEx), our results showed that one of the samples used (polypropylene) was not flammable and thus is safe for use in terms of explosiveness. Two samples were flammable and explosive. The lower explosive limit was 30 g·m−3 (PA12) and 60 g·m−3 (UHMW polyethylene). The maximum explosion pressure of the samples was 6.47 (UHMW polyethylene) and 6.76 bar (PA12). The explosion constant, Kst, of the samples was 116.6 bar·m·s−1 (PA12) and 97.1 bar·m·s−1 (UHMW polyethylene). Therefore, when using polymers in production technologies, it is necessary to know their fire parameters, and to design effective explosion prevention (e.g., ventilation, explosive-proof material, etc.) measures for flammable and explosive polymers.
Hydroxyapatite/Poly (Butylene Succinate)/Metoprolol Tartrate Composites with Controllable Drug Release and a Porous Structure for Bone Scaffold Application
Authors: Yang Hongming , Pan Rui , Zhou Yuan , Liu Guiting , Chen Rong , Guo Shaoyun
Published: October 2023

Nowadays, it is a challenge for a bone scaffold to achieve controllable drug release and a porous structure at the same time. Herein, we fabricated hydroxyapatite/poly (butylene succinate)/metoprolol tartrate (HA/PBS/MPT) composites via melt blending, aiming to provide the option of an in situ pore-forming strategy. The introduction of HA not only significantly improved the hydrophilicity of the PBS matrix by reducing the hydrophilic contact angle by approximately 36% at a 10% content, but also damaged the integrity of the PBS crystal. Both were beneficial for the penetration of phosphate-buffered saline solution into matrix and the acceleration of MPT release. Accompanied with MPT release, porous structures were formed in situ, and the HA inside the matrix was exposed. With the increase in HA content, the MPT release rate accelerated and the pore size became larger. The in vitro cytocompatibility evaluation indicated that HA/PBS/MPT composites were conductive to the adhesion, growth, and proliferation of MC3T3-E1 cells due to the HA being exposed around the pores. Thus, the MPT release rate, pore size, and cell induction ability of the HA/PBS/MPT composites were flexibly and effectively adjusted by the composition at the same time. By introducing HA, we innovatively achieved the construction of porous structures during the drug release process, without the addition of pore-forming agents. This approach allows the drug delivery system to combine controllable drug release and biocompatibility effectively, offering a novel method for bone repair material preparation. This work might provide a convenient and robust strategy for the fabrication of bone scaffolds with controllable drug release and porous structures.
What Should They Do? Depictions of Ribāṭ and Murābiṭūn in Early Islamic Ifrīqiya
Authors: Bosanquet Antonia Sigrid
Published: October 2023

What was ribāṭ in early Islamic Ifrīqiya and what was its primary function? The answer often differs depending on the sources that are used, and whether they focus on the building or the institution more generally. Rather than approaching the question through either of these aspects, this study will consider the expectations, reflected in textual sources, about the behavior of the murābiṭūn, or the men who inhabited them. Analyzing expectations about the character of the murābiṭūn and the activities carried out in the ribāṭ offers an insight into how the writer of the text viewed the institution, including its function and significance in early Islamic society. By comparing the expectations reflected in various texts, it is also possible to recognize different views of the ribāṭ building and institution and to relate these to the historical context or the perspective of the writer. The analysis in this study will focus on the ribāṭ in the Ifrīqiyan tradition but will relate some of the developments to the significance of the institution in the wider Islamic Empire and its intellectual tradition.
Love Speaking Understanding: Possible Steps toward Greater Church Unity Regarding Tongues through Biblical Theology
Authors: Ramsey Christian
Published: October 2023

Paul’s address regarding spiritual gifts in 1 Corinthians 12 and 14 is conspicuously centered around his address of love in chapter 13. It could appear Paul is emphasizing that love is to be at the center of the exercise of spiritual gifts. If that is the case, one question in the context of Global Pentecostalism seems to be “How does love intersect with the gift of tongues in community and why does it matter?” In our day of political and social division, Jesus persists in his desire for Church unity. In the context of this Special Issue, the investigation herein proposes suggestions grounded in biblical theology for adjustments in the expectations of the manifestation of tongues and the practice of tongues in the local assembly. The expression of tongues, for various reasons, is a point of contention within the body of Christ. Addressed here are the questions of a requirement of God to manifest tongues, and the legitimacy of exercise of uninterpreted tongues in the assembly. This study hopes to add to the conversation in revisiting a biblical theology for both.
Study of the OLR Anomalies before the 2023 Turkey M7.8 Earthquake
Authors: Liu Jun , Cui Jing , Zhang Ying , Zhu Jie , Huang Yalan , Wang Lin , Shen Xuhui
Published: October 2023

Using the model of the additive tectonic stress from celestial tide-generating force, we studied the relationship between the seismogenic structure and celestial tide-generating stress in the M7.8 Turkey earthquake on 6 February 2023. We analyzed the daily continuous variation characteristics of OLR before and after the Turkey earthquake and discussed the correlation characteristics of tidal stress, OLR, and the earthquake. The results showed that the observed OLR anomaly according to the tidal stress variation cycle “C” (1–15 February) presented a phase change in time, which was synchronized with a continuous trough-to-peak change in the additional tectonic main pressure stress. The spatial distribution of OLR anomalies was mainly concentrated in the southwest section of the East Anatolian Fault Zone, which indicates that seismic tectonic movements were the main causes of OLR anomaly variation during this earthquake. An OLR anomaly change was related to this M7.8 “Swarm Type” of earthquake in Turkey. Impending earthquake OLR anomalies represent that the stress of the seismogenic structure in the seismogenic region has entered a critical state, which can provide stress monitoring and a seismogenic region indication for earthquakes induced by tidal force. The change cycle of the celestial tide-generating force provides a time indication for the identification of seismic thermal anomalies, and it indicates that the combination of the additional tectonic stress of the tidal force and the change of OLR anomaly has value for the research on the short-impending earthquake precursor.
Multivariable Coupled System Control Method Based on Deep Reinforcement Learning
Authors: Xu Jin , Li Han , Zhang Qingxin
Published: October 2023

Due to the multi-loop coupling characteristics of multivariable systems, it is difficult for traditional control methods to achieve precise control effects. Therefore, this paper proposes a control method based on deep reinforcement learning to achieve stable and accurate control of multivariable coupling systems. Based on the proximal policy optimization algorithm (PPO), this method selects tanh as the activation function and normalizes the advantage function. At the same time, based on the characteristics of the multivariable coupling system, the reward function and controller are redesigned structures, achieving stable and precise control of the controlled system. In addition, this study used the amplitude of the control quantity output by the controller as an indicator to evaluate the controller’s performance. Finally, simulation verification was conducted in MATLAB/Simulink. The experimental results show that compared with decentralized control, decoupled control and traditional PPO control, the method proposed in this article achieves better control effects.
Study on the Temperature Field Change Characteristics of Coal Gangue Dumps under the Influence of Ambient Temperature in Heat Pipe Treatment
Authors: Tong Jiamin , Zhang Yongbo , Zhao Na , Wu Aijing , Shi Feifei , Chen Junxing
Published: October 2023

In order to investigate the influence of ambient temperature on the temperature field of coal gangue dumps governed by heat pipes (HPs), using self-developed heat pipe and intelligent cloud monitoring software, a 1-year field test was conducted in the spontaneous combustion coal gangue dump of Danao liang. This study analyzed the temperature distribution changes of a spontaneous combustion coal gangue dump under different ambient temperatures, as well as the temperature changes of the coal gangue at different time scales. Correlation analysis between ambient temperature and coal gangue temperature was conducted, and a quadratic regression model was established for goodness of fit and significance testing. The results show that ambient temperature affects the distribution of the temperature field of the spontaneous combustion coal gangue dump under the action of the HPs, and the cooling effect on the high-temperature zone is stronger in autumn and winter. The daily change in coal gangue temperature at each measurement point is similar, showing a peak-shaped curve of low at night and high during the day. The inter-day changes of each measuring point have seasonal characteristics: the cooling rate of the high-temperature zone measuring point is affected by the ambient temperature; the seasonal characteristics of the low-temperature zone measuring point are more obvious than the high-temperature zone, and its daily average temperature is affected by the ambient temperature. The ambient temperature and the internal temperature of the coal gangue dump are correlated, and the quadratic regression equation has a high degree of goodness of fit and meets the F-test, indicating that the quadratic regression model can be used for the empirical regression formula of the ambient temperature and the internal temperature of the coal gangue dump. The results of this study provide some references for the sustainable development of mining environments.
Health and Safety Proposal to Reduce Risks in the Construction of a School
Authors: Castro Mejía Percy Junior , Campos Coronel Clinton Sumner , Ancajima Gaona Luis Eduardo , Delgado Ventura Jeanpierre Fernando , Flores Montero Dimas Hugo , Huilca Alcántara Walter Enrrique
Published: October 2023

The purpose of this research was to propose safety measures and enhance worker health in building construction to minimize risks. The methodology followed a basic approach with a non-experimental, cross-sectional, and correlational design at a quantitative level involving a sample of 45 workers. This research employed methods such as direct observation, interviews, and documentary exploration, as well as tools including a comparison list, the SPSS program, and an impact evaluation. Scores, ranges, and levels of health and safety were determined, resulting in a score of 105 and dimensions ranging from 6 to 40. Similarly, for construction-related risks, a score of 105 was achieved, and the dimensions ranged between 6 and 40 points. The study’s findings indicated that, concerning health and safety distribution, 8.89% considered the proposal as poor, 24.44% perceived it as average, and 66.67% regarded it as good. In terms of construction risks distribution, 33.33% perceived them as low, 31.11% as moderate, and 35.56% as high. This underscores the necessity of adhering to protective measures during construction projects to address the risks and uncertainties of prevention.
Spatiotemporal Responses of Vegetation to Hydroclimatic Factors over Arid and Semi-arid Climate
Authors: Yadav Brijesh , Malav Lal Chand , Singh Shruti V. , Kharia Sushil Kumar , Yeasin Md. , Singh Ram Narayan , Nogiya Mahaveer , Meena Roshan Lal , Moharana Pravash Chandra , Kumar Nirmal , Sharma Ram Prasad , Obi Reddy Gangalakunta P. , Mina Banshi Lal , Jha Prakash Kumar
Published: October 2023

Understanding the dynamics of vegetative greenness and how it interacts with various hydroclimatic factors is crucial for comprehending the implications of global climate change. The present study utilized the MODIS-derived normalized difference vegetation index (NDVI) to understand the vegetation patterns over 21 years (2001–2021) in Rajasthan, India. The rainfall, land surface temperature (LST), and evapotranspiration (ET) were also analyzed. The changes, at a 30 m pixel resolution, were evaluated using Mann–Kendall’s trend test. The results reveal that the NDVI, ET, and rainfall had increasing trends, whereas the LST had a decreasing trend in Rajasthan. The NDVI increased for 96.5% of the total pixels, while it decreased for 3.4% of the pixels, of theh indicates vegetation improvement rather than degradation. The findings of this study provide direct proof of a significant reduction in degraded lands throughout Rajasthan, particularly in the vicinity of the Indira Gandhi Canal command area. Concurrently, there has been a noticeable expansion in the cultivated land area. The trend of vegetation decline, particularly in the metro cities, has occurred as a result of urbanization and industrialization. In contrast to the LST, which has a decreasing gradient from the western to eastern portions, the spatial variability in the NDVI, ET, and rainfall have decreasing gradients from the southern and eastern to western regions. The results of correlations between the vegetative indices and hydroclimatic variables indicate that the NDVI has a strong positive correlation with ET (r2 = 0.86), and a negative correlation with LST (r2 = −0.55). This research provides scientific insights into vegetation change across Rajasthan, and may help the state to monitor vegetation changes, conserve ecosystems, and implement sustainable ecosystem management.
Response of Sea Water Exchange Processes to Monsoons in Jiaozhou Bay, China
Authors: Tian Zhenhuan , Shi Jinghao , Liu Yuanyuan , Wang Wei , Liu Chunhua , Li Fangfang , Shao Yanqin
Published: October 2023

The self-purification capacity of semi-closed bays is closely related to the exchange process of open sea water. In recent years, with the enhancement of human development activities, environmental problems such as eutrophication, weak hydrodynamics, and poor water exchange capacity have appeared in the bays. In this paper, the water exchange time and flow field in Jiaozhou Bay (JZB) were investigated using the environmental fluid dynamics code with a coupled dye module. Specifically, Jiaozhou Bay was divided into seven zones to explore the effect mechanism of a monsoon on the water exchange process. A detailed analysis was performed on the current water exchange status in the highly polluted northeastern region of the bay and its influence on the surrounding areas. Based on the definition of the average residence time and considering the effect of the tracer release moment, the distribution of the water exchange time in the bay under three circumstances was obtained. Results showed that the timing of the tracer release exerted minimal influence on the average residence time. The water exchange process was influenced by a combination of astronomical and meteorological factors. The overall exchange capacity of the bay was strongest under the impact of a winter monsoon and tides, followed by a summer monsoon and tides, and the weakest exchange occurred under the influence of tides alone. Moreover, both summer and winter monsoons greatly facilitated water exchange in the heavily polluted northeastern region. However, pollutants from this region had a significant impact on surrounding areas during a summer monsoon. Changes in the structure and intensity of residual flow fields were the primary causes of exchange rate discrepancies.
The “Noble Method®”: A One Health Approach for a Sustainable Improvement in Dairy Farming
Authors: Infascelli Federico , Musco Nadia , Lotito Daria , Pacifico Eleonora , Matuozzo Sara , Zicarelli Fabio , Iommelli Piera , Tudisco Raffaella , Lombardi Pietro
Published: October 2023

The Noble Method® has been successfully introduced in the last few years in Italy and in some foreign countries. This novel livestock management provides, among other rules, a high forage/concentrate ratio, no use of silage and supplements, no GMOs and the availability of outdoor paddocks. One of the goals is to achieve high-quality milk in terms of nutritional properties. Other benefits have been reported; amongst them, the forage/concentrate ratio of the diet was shown to reduce the amount of methane produced by animals, also, the system provides economic benefits, mainly for small breeders, in terms of the sustainability and market placement of milk. Thus, the method represents a sustainable approach to improve the production and the supply chain, from the land to the final product. In this review, the most recent studies on Noble Method® are depicted, showing that, besides the nutritional proprieties of dairy products, the method is able to improve animal welfare, human health and environmental sustainability, thus falling within a “One Health” approach.
Application of Wavelet Transform for Bias Correction and Predictor Screening of Climate Data
Authors: Hosseini Baghanam Aida , Nourani Vahid , Norouzi Ehsan , Vakili Amirreza Tabataba , Gökçekuş Hüseyin
Published: October 2023

Climate model (CM) statistical downscaling requires quality and quantity modifications of the CM’s outputs to increase further modeling accuracy. In this respect, multi-resolution wavelet transform (WT) was employed to determine the hidden resolutions of climate signals and eliminate bias in a CM. The results revealed that the newly developed discrete wavelet transform (DWT)-based bias correction method can outperform the quantile mapping (QM) method. In this study, wavelet coherence analysis was utilized to assess the high common powers and the multi-scale correlation between the predictors and predictand as a function of time and frequency. Thereafter, to rate the most contributing predictors based on potential periodicity, the average variance was calculated, which is named the Scaled Average (SA) measure. Consequently, WT along with Artificial Neural Network (ANN) were applied for bias correction and identifying the dominant predictors for statistical downscaling. The CAN-ESM5 data of Canadian climate models and INM-CM5 data of Russian climate models over two climatic areas of Iran with semi-arid (Tabriz) and humid (Rasht) weather were applied. The projection of future precipitation revealed that Tabriz will experience a 3.4–6.1% decrease in precipitation, while Rasht’s precipitation will decrease by 1.5–2.5%. These findings underscore the importance of refining CM data and employing advanced techniques to assess the potential impacts of climate change on regional precipitation patterns.
Sustainable Technology Strategies for Transportation and Logistics Challenges: An Implementation Feasibility Study
Authors: Sumbal Muhammad Saleem , Ahmed Waqas , Shahzeb Huzeifa , Chan Felix
Published: October 2023

Transportation and logistics are the basic building blocks in the socio-economic development of a country. The pandemic altered the landscape of the transportation and logistics sector where organizations had to look for new technology-based solutions. Block chain and digital trucking are emerging concepts, which were further accelerated by COVID-19, to manage the challenges in the transportation and supply chain industry. This study, therefore, investigates the challenges faced by the transportation industry during and post COVID-19 and, consequently, identifies relevant sustainable strategies to combat these challenges in a developing-economies context. Data were collected through interviews from 20 key personnel working in managerial positions in the transportation industry of Pakistan, a developing economy. The findings of this study indicate that the challenges faced by the transportation industry are reduced import–export, local market orders and revenues, supply limited to a few edible items, increase in e-commerce, new entrants in the market and operational issues, such as lack of standard operating procedures (SOPs), performance management and training of drivers. These challenges were more pronounced in the COVID-19 era; however, they are still impacting the industry. Thus, in the post-COVID-19 era, transportation companies need to opt for efficient strategies, such as contactless deliveries, expansion in e-commerce, tech-based performance management of drivers and digital trucking for sustainability, in a developing economy’s transportation and logistics sector.
Why Farmers Prefer to Use Warehouse Receipt System in Turkey: An Integrated Model Approach
Authors: Yazar Fikriye , Secer Arzu
Published: October 2023

The warehouse receipt system (WRS) in agriculture has been considered a solid tool to support the agricultural sector. In comparison to other nations, Turkey has initiated the adoption of WRS recently. Therefore, the attitudes, abilities, and perceptions of farmers regarding current practices are of great importance. This study identified the factors influencing farmers’ intention to use WRS and categorized them based on these factors in Turkey. The conceptual framework of the study is constructed on the Theory of Planned Behavior, the Technology Acceptance Model, perceived cost, innovation openness, and organizational factors. Explanatory factor analyses were utilized to reveal reliability and sampling adequacy of the factors, and a cluster analysis was conducted to categorize the farmers based on the factors. The results showed that 38.40% of the farmers exhibited a high tendency towards using WRS in the future. These individuals demonstrated notably positive attitudes, social norms, and perceived behavioral ability, and they also held favorable perceptions towards WRS (perceived ease of use, perceived usefulness, perceived cost). This study could assist intermediaries, industrialists, and decision-makers in improving the system and developing action plans.
Harmonizing Science and Society: A Change Management Approach to Align Scientific Endeavors with Societal Needs
Authors: Hubbart Jason A.
Published: October 2023

The pursuit of scientific knowledge has long been humanity’s most potent tool for comprehending the natural world and driving technological advancements. However, a persistent paradox exists within the scientific enterprise: the occasional disconnect, be it slight or complete, between scientific inquiry and tangible societal impact. This misalignment can occur from differences between what may be esoteric scientific priorities and the immediate practical needs of society. Misalignment can be problematic because many global challenges, such as climate change, infectious diseases, and resource scarcity, demand research that informs actionable strategies that more immediately benefit society. The gap between scientific outcomes and societal needs is sometimes broadened via ineffective communication, sensationalized media portrayal of research, and a lack of collaboration. This article is written to (a) articulate a method to ensure that scientific outcomes align with societal needs (in cases where alignment is important) and (b) inspire discussion about the purposefulness of scientific research. An organizational change leadership approach, rooted in business management principles, is presented that can be applied to scientific research to bridge this gap and unlock science’s transformative and tangible potential. This novel approach involves crafting a clear vision, practicing effective communication, empowering researchers, shifting success metrics, and cultivating a research enterprise culture that values societal engagement. An example application is provided to catalyze transformative change in the mining industry. By adopting a change management method, researchers can ensure their work addresses real-world needs, garners stakeholder buy-in, and enhances societal acceptance of scientific endeavors.
UAV Dynamic Non-Terrestrial Transmission Channel Analysis Based on SSCM-RT Model
Authors: Yang Jinsheng , Xi Huan , Pan Zhou , Zhou Ying
Published: October 2023

Unmanned Aerial Vehicles (UAVs) have become crucial components of building air–ground integrated networks for sixth-generation mobile communications. UAV-related technology has advanced quickly in both military and civilian contexts. Problems with long-distance and dynamic communication need to be fixed in the non-terrestrial transmission channels of high-altitude UAVs. For long-distance UAV dynamic non-terrestrial transmission channel modeling, a spatial statistical channel model–ray tracing (SSCM-RT) hybrid channel model is proposed and verified, and SSCM-RT channel simulations incorporating spatial consistency analysis are carried out to realize the description of the communication process in the dynamic scenario of the non-terrestrial transmission in symmetric and asymmetric situations. The SSCM-RT model can output channel state information continuously, which is helpful for the quantitative description and characterization of the UAV channel in practical settings.
A Systematic Mapping: Exploring Internet of Everything Technologies and Innovations
Authors: Mohd Ali Fazlina , Md Yunus Nur Arzilawati , Mohamed Nur Nabila , Mat Daud Marizuana , A. Sundararajan Elankovan
Published: October 2023

The Internet of Everything (IoE) represents a paradigm shift in the world of connectivity. While the Internet of Things (IoT) initiated the era of interconnected devices, the IoE takes this concept to new heights by interlinking objects, individuals, data, and processes. Symmetry in IoE innovation and technology is essential for creating a harmonious and efficient ecosystem to ensure that the benefits are accessible to a broad spectrum of society while minimizing potential drawbacks. This comprehensive review paper explores the multifaceted landscape of the IoE, delving into its core concepts, enabling technologies, real-world applications, and the intricate web of challenges it presents. A focal point of this review is the diverse array of real-world applications spanning healthcare, smart cities, industry 4.0, agriculture, and sustainability. Previous works and examples illustrate how the IoE reshapes these domains, leading to greater efficiency, sustainability, and improved decision making. However, the transformative power of the IoE is accompanied by a host of challenges, including security and privacy concerns, interoperability issues, and the ethical implications of ubiquitous connectivity. These challenges are dissected in order to comprehensively understand the obstacles and potential solutions in the IoE landscape. As we stand on the cusp of an IoE-driven future, this review paper serves as a valuable resource for researchers, policy makers, and industry professionals seeking to navigate the complexities of this emerging paradigm. By illuminating the intricacies of the IoE, this review fosters a deeper appreciation for the transformative potential and the multifaceted challenges that lie ahead in the Internet of Everything era.
Deep Learning-Based Cross-Layer Power Allocation for Downlink Cell-Free Massive Multiple-Input–Multiple-Output Video Communication Systems
Authors: Lin Wen-Yen , Chang Tin-Hao , Tseng Shu-Ming
Published: October 2023

We propose a deep learning-based cross-layer power allocation method for asymmetric cell-free massive MIMO video communication systems. The proposed cross-layer approach considers physical layer channel state information (CSI) and the application layer rate distortion (RD) function, and it aims to enhance video quality in terms of peak signal-to-noise ratio (PSNR). Our study develops a decentralized deep neural network (DNN) model to capture intricate system patterns, enabling accurate and efficient power allocation decisions. The proposed cross-layer approach includes unsupervised and hybrid (supervised/unsupervised) learning models. The numerical results show that the hybrid method achieves convergence with just 50% of the iterations required by the unsupervised learning model and that it achieves a 1 dB gain in PSNR over the baseline physical layer scheme.
Unveiling the Venom Composition of the Colombian Coral Snakes Micrurus helleri, M. medemi, and M. sangilensis
Authors: Rodríguez-Vargas Ariadna , Franco-Vásquez Adrián Marcelo , Bolívar-Barbosa Janeth Alejandra , Vega Nohora , Reyes-Montaño Edgar , Arreguín-Espinosa Roberto , Carbajal-Saucedo Alejandro , Angarita-Sierra Teddy , Ruiz-Gómez Francisco
Published: October 2023

Little is known of the biochemical composition and functional features of the venoms of poorly known Colombian coral snakes. Here, we provide a preliminary characterization of the venom of two Colombian endemic coral snake species, Micrurus medemi and M. sangilensis, as well as Colombian populations of M. helleri. Electrophoresis and RP-HPLC techniques were used to identify venom components, and assays were conducted to detect enzyme activities, including phospholipase A2, hyaluronidase, and protease activities. The median lethal dose was determined using murine models. Cytotoxic activities in primary cultures from hippocampal neurons and cancer cell lines were evaluated. The venom profiles revealed similarities in electrophoretic separation among proteins under 20 kDa. The differences in chromatographic profiles were significant, mainly between the fractions containing medium-/large-sized and hydrophobic proteins; this was corroborated by a proteomic analysis which showed the expected composition of neurotoxins from the PLA2 (~38%) and 3FTx (~17%) families; however, a considerable quantity of metalloproteinases (~12%) was detected. PLA2 activity and protease activity were higher in M. helleri venom according to qualitative and quantitative assays. M. medemi venom had the highest lethality. All venoms decreased cell viability when tested on tumoral cell cultures, and M. helleri venom had the highest activity in neuronal primary culture. These preliminary studies shed light on the venoms of understudied coral snakes and broaden the range of sources that could be used for subsequent investigations of components with applications to specific diseases. Our findings also have implications for the clinical manifestations of snake envenoming and improvements in its medical management.
Research on the Standardized Management System and Operational Indicators of Water Control Dikes Based on GA-BP Artificial Neural Network Model
Authors: Zhou Zhiwei , Fang Shibiao , Wang Qing , Tu Wenrong
Published: October 2023

Water control dikes, as an important infrastructure for national economic and social development, play an important supporting and guaranteeing role in flood control, irrigation, power generation, water supply, tourism, and other aspects. Jiangxi is a major province in water conservancy, with dense rivers and lakes, and it owns tens of thousands of water control dikes of various types. Most of the water control dikes exhibit structural aging, continuous medical risks, and reduced benefits, which urgently require efficient maintenance and standardized management. Management is a complex task, and the level of management directly affects the functional efficiency and service life of dikes. In view of these issues, this study takes dikes as essential and typical water conservancy engineering objects and analyzes the evaluation criteria of safe production and the demands of engineering management. It establishes an evaluation index system suitable for normalized management. The Analytic Hierarchy Process (AHP) model is utilized to determine indicator weights, and a neural network water conservancy engineering evaluation algorithm is constructed to match the evaluation model. Finally, an improved algorithm for the GA (genetic algorithm)-BP (backpropagation) neural network is proposed, incorporating additional momentum factors and considering adaptive learning rates. The developed model is validated through a case study in Jiangxi, China, and the results demonstrate its accuracy and comprehensiveness in reflecting the actual situation. This research is relevant to designers, contractors, and governments seeking solutions to achieve standardized management in water control dikes.
Monthly Runoff Prediction by Combined Models Based on Secondary Decomposition at the Wulong Hydrological Station in the Yangtze River Basin
Authors: Wei Huaibin , Wang Yao , Liu Jing , Cao Yongxiao
Published: October 2023

Accurate runoff prediction plays a pivotal role in facilitating effective watershed management and the rational allocation of water resources. Given the inherent challenges posed by the nonlinear and nonstationary nature of runoff sequences, this study introduces a novel coupled model, combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), variational mode decomposition (VMD), long short-term memory (LSTM), and Informer techniques for monthly runoff prediction at the Wulong hydrological station of the Yangtze River Basin from 1973 to 2022. In addition, by comparing the prediction results of the traditional statistical model, which is the seasonal exponential smoothing model, with those of the machine learning model, the prediction accuracy of the machine learning model was found to be much higher than that of the traditional statistical mode. And the coupled model of secondary decomposition and secondary prediction was compared with other types of coupled models, such as one decomposition and one prediction. The CEEMDAN-VMD-LSTM-Informer model exhibited superior performance, as evidenced by an NSE value of 0.997, MAE of 1.327 × 108 m3, MAPE of 2.57%, and RMSE of 2.266 × 108 m3. The combined model proposed in this paper has the highest prediction accuracy, rendering it suitable for long-time series prediction. Accurate runoff prediction plays a pivotal role in facilitating effective watershed management and the rational allocation of water resources.
FROM THE HISTORY OF «WHITE ON WHITE» EMBROIDERY IN POLTAV REGION
Authors: KONDRATENKO M. , TYTARENKO V.
Published: October 2023

The article tells about the history of embroidery art «white on white» in the Poltava region, the work of specialized artisans, cooperatives and factories. Unrepeatable technical features of embroidery, artistic and expressive means of ornamental compositions are revealed. About how embroidery with «ball» was reflected in Ukrainian folk songs. The creativity of the embroiderers who worked in the Reshetyliv region gained general recognition, and the modern carriers of the «white on white» embroidery technology are also discussed. In her work, the craftswomen use traditional techniques and modern motifs, refer to folk sources, emphasizing that even now «white on white» embroidery has not lost its relevance.Emphasis is placed on the issue of the continuation of the tradition by young craftsmen and ways to solve it, which involves the implementation of measures to protect embroidery. Implementation of additional measures for the protection and popularization of Reshetiliv embroidery – its transmission to future generations is emphasized.
Digitalization of the Ukrainian economy during a state of war is a necessity of the time
Authors: Verbivska Liudmyla , Abramova Maryna , Gudz Maryna , Lyfar Vladyslava , Khilukha Оksana
Published: October 2023

This article explores the digital economy's importance for Ukraine's development, analyzing its current state, identifying digitization opportunities and threats, and assessing readiness for adopting digital technologies. The study employs a range of methods to assess the extent of development of Ukraine's digital economy. It examines global trends in digital transformation and evaluates Ukraine's digital resources and information infrastructure. The advantages and disadvantages of implementing digital technologies in the Ukrainian economy are identified. The study reveals that Ukraine lacks sufficient digital resources compared to other European countries. However, it highlights the country's active efforts in developing its information infrastructure and emphasizes the importance of digitization for economic growth. The research identifies the main prerequisites for the global era of the digital economy and establishes the significance of information and communication technologies for economic development and people's well-being. Conclusion: Based on the analysis of Ukraine's digital economy, the study concludes that digitization should be a priority direction for the country. It proposes key measures for effectively utilizing innovative technologies and stimulating the development of the Ukrainian digital economy in the "digital era." Expediting the advancement of the Ukrainian economy in the realm of innovative technologies is considered essential for its future progress and well-being.
PANDANGAN PESERTA STUDY GROUP YOUCAT TERHADAP METODE KNOW, SHARE, MEET, EXPRESS DALAM KEGIATAN KATEKESE
Authors: Andita Fransisca Putri , Wijaya Albert I Ketut Deni
Published: October 2023

In 2021 YOUCAT Indonesia held a catechesis activity known as the Study Group. In its implementation, the Study Group uses a method known as the know, share, meet, express (KSME) method. What are the views of the Study Group participants on the KSME method? The purpose of the research is in its implementation, the Study Group uses a method called the know, share, meet, express (KSME) method. This study uses a qualitative method. To obtain research data, researchers used interview. Collecting research data is carried out both online and offline. Informants in this study are Study Group participants who have attended Study Group meetings at least 5 times. The results showed that the Study Group participants had a favorable view of the KSME method in catechesis. This is shown by the Study Group participants who being able to state the reasons why the Study Group that used the KSME method really helps participants to understand and live the Church's teachings. In addition, participants were able to mention the advantages possessed by the Study Group compared to other catechesis. Furthermore, the Study Group participants did not fail to provide suggestions on things that need to be improved so that the Study Group using the KSME method is getting better.
Antimicrobial Activity and Medicinal Plants in the North and East of Syria: A Review Study
Authors: Alamholo Mostafa , Sheikhmous Murad Aladdin
Published: October 2023

Herbal plants contain a medicinal source with antimicrobial properties that offer a safer and more cost-effective method to treat human pathogens. Scientists in the field are performing research on plants to discover their potential antimicrobial compounds. This study aimed to conduct a review of the antimicrobial and antioxidant properties and investigate particular herbal plants with medicinal activities in the north and east of Syria. Considering that some herbal plants, including Cuminum cyminum, Mentha piperita, Allium cepa, Majorana hortensis, Eucalyptus camaldulensis, Thymus capitatus, Achillea millefolium, Malva parviflor, and Capparis spinose, have antifungal, antimicrobial, and antioxidant activities, the products obtained from these plants may be used to control the growth of pathogenic microorganisms. In addition, this study focused on the chemical compounds, including p-cymene, kaempferol, quercetin, capsaicin, 1,8-cineole, flavonoids, gallic acid, and alkaloids, which play a role in inhibiting microbial growth. Based on the results obtained from this review study, using these herbal plants can control human infectious, pathogenic, cancerous, and antioxidant diseases.
An Overview of the ACE2 Receptor as the Main Coronavirus Keyword
Authors: Yousefimoghadam Manijeh , Mirenayat Maryam Sadat , Heaidari Mahdi , Zahiri Reyhaneh , Mirtajani Seyed Bashir , Yassari Fatemeh , Fakharian Atefeh
Published: October 2023

The epidemic caused by the spread of the infectious agent called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed a huge challenge to various communities around the world. The high prevalence and widespread infectivity of this virus indicated that despite the relentless efforts of various biological scientists to provide appropriate treatment or control of the disease, no definitive treatment has been reported successfully. Since the source of infection of this virus is an entry into the host cell through the specific angiotensin-converting enzyme-2 (ACE2) receptor, in the present study, we reviewed the ACE2 receptor and its role in SARS-COV-2 infection.