bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Impact of COVID-19 and the Associated Lockdown on the Production, Distribution, and Consumption of Poultry Products in Gujarat, India: A Qualitative Study
Authors: Mishra Pallavi , Golaviya Akash , Panchal Ketankumar , Hinsu Ankit , Yadav Kavita , Fournié Guillaume , Barnett Tony , Koringa Prakash , Paleja Haidar Ul Iman , Dasgupta Rajib
Published: May 2023

Introduction: The COVID-19 severely marred the Indian poultry industry, worth approximately one trillion INR. Hence, this study was conducted to understand the COVID-19 related factors that harmed the poultry production and distribution network and explore their varied impact on its actors in Gujarat, India.
Methods: An exploratory qualitative study, using semi-structured interviews, was conducted with 34 poultry stakeholders in Gujarat. The data were thematically analysed using an interpretative phenomenological approach.
Results: The study revealed that COVID-19 and the associated lockdown had hugely impacted the production, distribution and consumption of poultry products. The first COVID-19 lockdown disrupted the supply of production inputs and the distribution of poultry and poultry products because of movement restrictions. Rumours also played a crucial role in decreasing the consumption of poultry products between March and June 2020. The market situation, including the prices and availability of poultry products, was found to be improved post-lockdown as there was an increase in consumption; however, the profits were not sufficient to immediately compensate for the losses incurred during the lockdown.
Conclusion: The first COVID-19 lockdown restricted the production and distribution of essential goods and influenced the perception of consumers regarding poultry products. COVID-19 resulted in many short- and medium-term challenges in the poultry sectors in India, which need to be addressed to make this sector more resilient to face any such crisis in future.
Transparent Pneumatic Tactile Sensors for Soft Biomedical Robotics
Authors: Zhao Sinuo , Nguyen Chi Cong , Hoang Trung Thien , Do Thanh Nho , Phan Hoang-Phuong
Published: May 2023

Palpation is a simple but effective method to differentiate tumors from healthy tissues. Development of miniaturized tactile sensors embedded on endoscopic or robotic devices are the key toward precise palpation diagnosis and the subsequent timely treatment. This paper reports on the fabrication and characterization of a novel tactile sensor with mechanical flexibility and optical transparency that can be easily mounted on soft surgical endoscopes and robotics. Utilizing the pneumatic sensing mechanism, the sensor offers a high sensitivity of 1.25 mbar and negligible hysteresis, enabling the detection of phantom tissues with different stiffnesses ranging from 0 to 2.5 MPa. Our configuration combining pneumatic sensing and hydraulic actuating also eliminates electrical wiring from the functional elements located at the robot end-effector, thereby enhancing the system safety. The optical transparency path in the sensors together with its mechanical sensing capability open interesting possibility in early detection of solid tumor as well as in the development of all in-one soft surgical robots that can perform visual/mechanical feedback and optical therapy.
Phosphate Petrochronology of the Belcina REE Mineralization (Ditrău Alkaline Massif, Romania)
Authors: Klötzli Urs , Burda Jolanta , Tibuleac Paul
Published: May 2023

A notable REE mineralization in Europe is associated with the Ditrău Alkaline Massif (DAM) in the Eastern Carpathians (Romania). It is an expression of the latest hydrothermal phase in the DAM and is found in the form of mineralized carbonate veins cross-cutting the complex in the NW (Jolotca region) and the SE (Belcina region) parts of the DAM. In the Belcina veins monazite-(Ce), xenotime-(Y), apatite, together with Fe-Mg-rich carbonate, thorite, thorogummite, gedrite and plagioclase are rock-forming. Three different textural and chemical types of the monazite-(Ce) and the xenotime-(Y) document a three-stage evolution. The relative phosphate age succession (from older to younger) thereby is xnt1 > xnt2 (>)+ mnz1 + Fe2O3 + Fe-gedrite > mnz2 + Fe-dolomite (+ plagioclase) > mnz3 + xnt3 + apatite. Phosphate chemistry shows that these crystallized from hydrothermal fluids, whereby each phosphate type follows a separate evolutionary path recommending growth from (at least) 3 independent and successive hydrothermal fluids. Chemistry and pathways within the DAM suggest that these hydrothermal fluids could be derived from a subsurface carbonatitic intrusion. Mnz1,2 and xnt1,2 ages are tightly cluster at 215.8 ± 0.7 Ma (Norian, Upper Triassic). The third-generation phosphate ages are younger, but associated with large analytical uncertainties and did not deliver geologically useful ages. The mean age of ca. 216 Ma is interpreted as timing the Belcina REE mineralization, what together with the fluid chemistry, supports a model of the presence of a late-stage, independent carbonatitic intrusion about 10 Ma after the main igneous activity (ca. 235 - 225 Ma) forming the DAM, synchronous with extension-related magmatism in the region.
Leaf Proteomic Analysis in Two Maize Landraces With Different Tolerance to Boron Toxicity
Authors: Mamani-Huarcaya Betty M. , Navarro-Gochicoa María Teresa , Herrera-Rodríguez María Begoña , Camacho-Cristóbal Juan J , Ceacero Carlos J. , Fernadez Cutire Óscar , González-Fontes Agustín , Rexach Jesús
Published: May 2023

Boron (B) toxicity is an important stress that negatively affects maize yield and quality production. The excessive B content in agricultural lands is a growing problem due to the increase in arid and semi-arid areas because of climate change. Recently, two Peruvian maize landraces, Sama and Pachía, were physiologically characterized based on their tolerance to B toxicity, the former being more tolerant to B excess than Pachía. However, many aspects regarding the molecular mechanisms of these two maize landraces against B toxicity are still unknown. In this study, a leaf proteomic analysis of Sama and Pachía was performed. Out of a total of 2793 proteins identified only 303 proteins were differentially accumulated. Functional analysis indicated that many of these proteins are involved in transcription and translation processes, amino acids metabolism, photosynthesis, carbohydrate metabolism, protein degradation, and protein stabilization and folding. Compared to Sama, Pachía had a higher number of differentially expressed proteins related to protein degradation, and transcription and translation processes under B toxicity conditions, which might reflect the greater protein damage caused by B toxicity in Pachía. Our results suggest that higher tolerance to B toxicity of Sama can be attributed to more stable photosynthesis that would avoid damage caused by stromal over-reduction under this stress condition.
Systematic Approaches To Study Eclipsed Targeting of Proteins Uncover a New Family of Mitochondrial Proteins
Authors: Mark Maayan , Klein Ofir , Zhang Yu , Das Koyeli , Elbaz Adi , Hazan Reut Noa , Lichtenstein Michal , Lehming Norbert , Schuldiner Maya , Pines Ophry
Published: May 2023

Dual localization or dual targeting refers to the phenomenon by which identical, or almost identical, proteins are localized to two (or more) separate compartments of the cell. From previous work in the field, we had estimated that a third of the mitochondrial proteome is dual targeted to extra-mitochondrial locations and suggested that this abundant dual targeting presents an evolutionary advantage. Here we set out to study how many additional proteins whose main activity is outside mitochondria are also localized, albeit at low levels, to mitochondria (eclipsed). To do this we employed two complementary approaches utilizing the α-complementation assay in yeast to uncover the extent of such eclipsed distribution: one systematic and unbiased and the other based on Mitochondrial Targeting Signal (MTS) predictions. Using these approaches, we suggest 280 new eclipsed distributed protein candidates. Interestingly, these proteins are enriched for distinctive properties compared to their exclusively mitochondrial-targeted counterparts. We focus on one unexpected eclipsed protein-family of the Triose-phosphate DeHydrogenases (TDH), and prove that indeed their eclipsed distribution in mitochondria is important for mitochondrial activity. Our work provides a paradigm of deliberate eclipsed mitochondrial localization, targeting and function, and should expand our understanding of mitochondrial function in health and disease.
NMR-Based Analysis of Fluid Occurrence Space and Imbibition Oil Recovery in Gulong Shale
Authors: Xu Fei , Jiang Hanqiao , Liu Ming , Jiang Shuai , Wang Yong , Li Junjian
Published: May 2023

The Gulong shale oil reservoir is formed in freshwater to slightly saline lacustrine basins, mainly consisting of pure shale geological structure, which is quite different from other shale reservoirs around the world. Currently, the development of Gulong shale oil mainly relies on hydraulic fracturing, while the subsequent shut-in period for imbibition has been proven to be an effective method for enhancing shale oil recovery. To clarify the characteristics of fluid occurrence space and the variation of fluid occurrence during saltwater imbibition in Gulong shale, this paper carried out porosity and permeability tests on Gulong shale cores, and analyzed the fluid occurrence space characteristics and imbibition oil recovery based on nuclear magnetic resonance (NMR). In the porosity and permeability tests, the porosity measured by saturation method was calibrated using NMR T2 spectra. Combined with the identification of fractures in shale cores using micro-CT and the analysis of porosity and permeability parameters, it was found that the permeability of shale cores was related to the development of fractures in shale cores. Through the testing and analysis of NMR T1-T2 two-dimensional spectra of the shale cores before and after saturation with oil, it was found that the shale mainly contains heavy oil, light oil, and clay-bound water, and they were distributed in different positions in the T1-T2 spectrum. Finally, the T1-T2 two-dimensional spectra of the shale core at different imbibition stages were analyzed, and it was found that the saltwater mainly entered the minuscule inorganic pores of clay minerals during the imbibition process, and squeezed the larger-sized inorganic pores containing light oil through the hydration expansion effect, thus expelling the light oil from the shale core and achieving the purpose of enhanced oil recovery.
Severe Combined Immunodeficiency. Microorganisms and Management
Authors: Gopaul Darren , Soodden Sachin , Justiz-Vaillant Angel A , Arozarena Fundora Rodolfo
Published: May 2023

Severe combined immunodeficiency (SCID) is a primary inherited immunodeficiency that could be fatal, usually due to opportunistic infections caused by bacteria, viruses, fungi, and protozoa if left untreated. Opportunistic infections are the most common presentation of SCID these include viral, fungal, or intracellular bacteria, and infection should prompt immunological investigation. This review aimed to provide a comprehensive approach to the microrganisms associated with severe combined immunodeficiency (SCID) and its management. The authors described SCID as a syndrome and summarized the different microorganisms that affect children and how they are managed.
Education Professionals' Cooperative Learning for the Development of Professional Capital
Authors: Damkuviene Milda , Valuckiene Jurate , Balciunas Sigitas , Petukiene Evandzelina
Published: May 2023

This article presents the research results on developing professional capital in Lithuanian schools during the national project "Time for leaders". The longitudinal national initiative aimed to develop professional capital as the synergy of human, social and decisional components (Hargreaves and Fullan, 2019) of schools through the various cooperation-based learning experiences of educational professionals. The article provides an overview of project interventions (activities that stimulated cooperative learning of educational professionals) in the light of cooperative learning principles. The assessment of change over two project years in education professionals' perceptions of professional capital is presented using Cohen's d effect size measure. The measurement sample consisted of teachers (n1=5105; n2=4683) and school leaders (n1=439; n2=405) from 189 schools in 30 Lithuanian municipalities. The findings show a statistically significant medium positive change in professional capital. The most considerable change was estimated in the social and decisional capital dimensions and the relatively smallest - in the field of human capital.
Aircraft Failures Prediction via Adaptive Neuro-Fuzzy Inference System
Authors: Latifinavid Masoud , Balıkçı Cemal , Dengiz Suat
Published: May 2023

Safety is very important in aviation since a loss of safety frequently results in both fatalities and financially damaging situations that are typically unrecoverable. Thus, achieving safety as much as possible is the primary goal of practically all aviation technology work. In this study, an Adaptive Neuro-Fuzzy Inference System (ANFIS)-based classifier is created to estimate the fault risk factor of airplanes. Five categories of real fleet data belonging to structure, electrical, avionic, motor systems, and incident statistics of the planes have been used for classifier development. A risk factor determination for each plane is the output of the developed intelligent classifier, and it can be used to identify general overhaul candidate planes and stop defects and crashes before they happen. The obtained results show that using ANFIS provides a great capability in processing many inputs and outputs depending on different types and classes in the aviation industry and thus predicting the failure risk of the airplane efficiently.
Effects of Chronic Fire Exclusion on Longleaf Pine in an Urban Interface: The University of West Florida Campus Ecosystem Study
Authors: Gilliam Frank S.
Published: May 2023

The dependence of longleaf pine (Pinus palustris) ecosystems on fire is well-understood, and anthropogenic alteration of fire cycles within its natural range has contributed to its decline. This is increasingly exacerbated in areas of urban interfaces, wherein use of prescribed fire can be problematic. The purpose of this study—the University of West Florida Campus Ecosystem Study—was to examine effects of fire exclusion on longleaf pine in the unique urban interface of a university campus. This was conceived as an interconnected series of investigations on the main campus and three associated natural areas that comprise remnant longleaf stands following cessation of widespread longleaf pine harvesting ~120 years ago. This period of chronic fire exclusion has allowed for a distinct shift in stand structure and composition. The open, savanna-like structure of fire-maintained longleaf stands has transitioned into closed-canopy forests with the increased prevalence of southern evergreen oaks (especially live oak—Quercus virginiana) and Magnolia spp., resulting in complete absence of longleaf regeneration. Fire exclusion has also appeared to have decreased soil fertility. Significant variation in mean age of longleaf pine stems of the main campus and natural areas suggest that the natural areas were likely under separate ownership with contrasting land-use history prior to purchase by the State of Florida for campus construction in 1963.
Hyperspectral Image Classification Based on Fusion of Convolutional Neural Network and Graph Network
Authors: Gao Luyao , Xiao Shulin , Hu Changhong , Yan Yang
Published: May 2023

Convolutional neural networks (CNN) have attracted much attention as a commonly used method for hyperspectral image (HSI) classification in recent years, however, CNNs can only be applied to Euclidean data and have limitations in dealing with relationships due to the limitations of local feature extraction. However, each pixel of a hyperspectral image contains a set of spectral bands that are correlated and interact with each other, and the methods used to process Euclidean data cannot effectively obtain these correlations. In contrast, the graph convolutional network (GCN) can be used in non-Euclidean data, but usually leads to oversmoothing and ignoring local detail features due to the need for superpixel segmentation processing to reduce computational effort. To overcome the above problems, we constructed a network a fusion network based on GCN and CNN, which contains two branches: a graph convolutional network based on superpixel segmentation and a convolutional network with added attention mechanism. The graph convolu-tional branch can extract the structural features and capture the relationships between the nodes, and the convolutional branch can extract the detailed features in the local fine region. Owing to the fact that the features extracted from the two branches are different, the classification performance can be improved by fusing the complementary features extracted from the two branches. To vali-date the proposed algorithm, experiments were conducted on three widely used datasets, namely Indian Pines, Pavia University, and Salinas, and the overall accuracy of 98.78% was obtained in the Indian Pines dataset, and the overall accuracy of 98.99% and 98.69% was obtained in the other two datasets. The results showed that the proposed fusion network can obtain richer features and achieve high classification accuracy.
Evaluation of the ECOSSE-Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites
Authors: Abdalla Mohamed , Feigenwinter Iris , Richards Mark , Vetter Sylvia Helga , Wohlfahrt Georg , Skiba Ute , Pintér Krisztina , Nagy Zoltán , Hejduk Stanislav , Buchmann Nina , Newell-Price Paul , Smith Pete
Published: May 2023

This study used the ECOSSE model (v. 5.0.1) to simulate soil respiration (Rs) flux-es estimated from ecosystem respiration (Reco) for eight European permanent grassland (PG) sites with varying grass species, soils, and management. The main aim was to evaluate the strengths and weaknesses of the model in estimating Rs from grasslands, and to gain a better understanding of the terrestrial carbon cycle and how Rs is affect-ed by natural and anthropogenic drivers. Results revealed that the current version of the ECOSSE model may not be reliable for estimating daily Rs fluxes, particularly in dry sites. However, it could still be a valuable tool for predicting cumulative Rs from PG. Additionally, the model demonstrated accurate simulation of Rs in response to grass cutting and slurry application practices. The sensitivity analyses and attribution tests revealed that increased soil organic carbon (SOC), soil pH, temperature, reduced precipitation, and lower water table (WT) depth could lead to increased Rs from soils. The variability of Rs fluxes across sites and years was attributed to climate, weather, soil properties, and management practices. The study suggests the need for additional development and application of the ECOSSE model, specifically in dry and low input sites, to evaluate the impacts of various land management interventions on carbon sequestration and emissions in PG.
Characterization of Bacterial Transcriptional Regulatory Networks in Escherichia coli through Genome-Wide in vitro Run-Off Transcription/RNA-SEq (ROSE)
Authors: Schmidt Pascal , Brandt David , Busche Tobias , Kalinowski Jörn
Published: May 2023

We developed and applied a method for characterizing bacterial promoters genome-wide by in vitro transcription coupled to transcriptome sequencing specific for native 5’-ends of transcripts. This method called ROSE (Run-Off transcription/RNA-SEquencing), only requires chromosomal DNA, ribonucleotides, RNA polymerase (RNAP) core enzyme, and a specific sigma factor, recognizing the corresponding promoters, which have to be analyzed. ROSE was performed on E. coli K-12 MG1655 genomic DNA using E. coli RNAP holoenzyme (including σ70) and yielded 3,226 transcription start sites, 2,167 of which were also identified in in vivo studies, and 598 were new. Many new promoters not yet identified by in vivo experiments might be repressed under the tested conditions. Complementary in vivo experiments with E. coli K-12 strain BW25113 and isogenic transcription factor gene knockout mutants of fis, fur, and hns were used to test this hypothesis. Comparative transcriptome analysis demonstrated that ROSE could identify bona fide promoters that were apparently repressed in vivo. In this sense, ROSE is well-suited as a bottom-up approach for characterizing transcriptional networks in bacteria and ideally complementary to top-down in vivo transcriptome studies.
DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection
Authors: Taher Fatma , AlFandi Omar , Kfairy Mousa Al , Al Hamadi Hussam , Alrabaee Saed
Published: May 2023

Malicious apps specifically aimed at the Android platform have increased in tandem with the proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect. Due to the exponential growth in malware, manual methods of malware are increasingly ineffec-tive. Although prior writers have proposed numerous high-quality approaches, static and dy-namic assessments inherently necessitate intricate procedures. The obfuscation methods used by modern malware are incredibly complex and clever. As a result, it cannot be detected using only static malware analysis. As a result, this work presents a hybrid analysis approach, partially tai-lored for multiple-feature data, for identifying Android malware and classifying malware families to improve Android malware detection and classification. This paper offers a hybrid method that combines static and dynamic malware analysis to give a full view of the threat. Three distinct phases make up the framework proposed in this research. Normalization and feature extraction procedures are used in the first phase of pre-processing. Both static and dynamic features undergo feature selection in the second phase. Two feature selection strategies are proposed to choose the best subset of features to use for both static and dynamic features. The third phase involves ap-plying a newly proposed detection model to classify android apps; this model uses a neural net-work optimized with an improved version of HHO. Application of binary and multi-class classi-fication is used, with binary classification for benign and malware apps and multi-class classifica-tion for detecting malware categories and families. By utilizing the features gleaned from static and dynamic malware analysis, several machine-learning methods are used for malware classifi-cation. According to the results of the experiments, the hybrid approach improves the accuracy of detection and classification of Android malware compared to the scenario when considering static and dynamic information separately.
A Review of Printable Antenna Design and Fabrication for Future Wireless Applications
Authors: Muhammad Bello Abdullahi , Mahmud Mohd N. , Mohammed Abdullahi S.B , Girigiri Ahmadu , Ain Mohd F.
Published: May 2023

Extensive research has been conducted on printable antenna technologies, believed to be fast-growing due to their significant impact on wireless devices. It is necessary to study the progress of printable antenna technology as they are core devices for wireless technology today. This review work offers a comprehensive account of the previous and recent research achievements based on the principle of printable antenna, and parametric studies of several key design parameters, for future wireless network applications. The systems considered for evaluation include broadband techniques, large Bandwidth, high gain, dual/multi-band, or reconfigurable structure, low-profile, size-reduction, compact, linear, or circular polarization applications. It also highlights the fabrication procedures, and the numerous material characteristics affecting the antenna performance for various wireless applications with design considerations. Fully printed antennas on different substrates and conductive ink were investigated, including polyethylene terephthalate (PET), synthetic paper (Teslin), resin-coated photo paper, and Kapton polyimide substrates, among many others. The findings show that the fully inkjet-printed antenna made fabrication easy, improving the accuracy and conductivity of the printed patterns by concentrating on the inherently difficult problems and opportunities. Inkjet-printed antennas are believed to be the futuristic demand for sustainability and wireless solution in several ways.
Progress of Multiwalled Carbon Nanotubes for Controlling in Dielectric Characterization of Silicone Rubber
Authors: Mohamed Ahmed Thabet , Almufadi Fahad Abdulrahman
Published: May 2023

Multiwalled Carbon Nanotubes (MWCNTs) is more efficient for fabrication modern design of silicone rubber (SR) that used in industrial engineering applications; it has been embedded in room temperature vulcanization silicone rubber (RTV-SR) matrix for controlling in dielectric characterization. Frequency dielectric measurements were performed for multiwalled carbon nanotubes SR/MWCNT nanocomposites. Hence, the dielectric properties of modern design SR/MWCNT nanocomposites has been deduced as experimental work done to clarify the benefit of filling MWCNT with different patterns inside dielectrics. In variant thermal conditions (up to 40oC), it has been investigated that the new behaviors of SR/MWCNT nanocomposites dealing with nanotechnology techniques for designing new dielectric behaviors of insulation materials. Finally, this research succeeded to characterize dielectric constant, electric modulus and dielectric loss of SR/MWCNT nanocomposites with respect to traditional silicon rubber under variant thermal conditions and frequency response analysis (FRA) according to using certain types and concentrations of MWCNTs.
Climate Change Impacts on Frost and Thaw Considerations: Case Study of Airport Pavement Design in Canada
Authors: Sutherland Rolim Barbi Paula , Tavassoti Pejoohan , Tighe Susan L
Published: May 2023

Rising temperatures due to the climate change can significantly impact the frost/thaw condition of airport pavements in cold regions. This case study investigates the implications of the the warming temperatures on frost/thaw penetration and frost-heave of pavements for critical airports across Canada. To this end, different methods were used in the quantification process through climate change simulations considering the emission scenario RCP8.5 in a 20- and 40-year time horizon. The results show that climate change would have different design implications for airport pavements depending on their location. The predictions suggest a shallower frost penetration depth and possibly less frost-heave for the airports not underlain by permafrost, while airports over permafrost areas might experience an increase in thickness of the active layer ranging from 41 to 57 percent by 2061. Among the different methods used in this study, it was observed that some methods performed the best in predicting frost depth of fine soils, while others worked better with the frost depth prediction of coarse soils. The results indicate the need for more mechanistic models to provide a more realistic prediction of frost/thaw penetration as compared to the existing empirical models.
The Ethnopharmacological, Phytochemical and Pharmacological Review of Euryale ferox, a Medicine Food Homology Species
Authors: Jiang Jiahui , Ou Haiyan , Chen Ruiye , Lu Huiyun , Zhou Longjian , Yang Zhiyou
Published: May 2023

Euryale ferox, which belongs to the family of Nymphaeaceae, has been widely distributed in China, India, Korea, and Japan. The seeds of E. ferox (EFS) have been categorized as superior food for 2000 years in China, based on its abundant nutrients including polysaccharides, polyphenols, sesquineolignans, tocopherols, cyclic dipeptides, glucosylsterols, cerebrosides, and triterpenoids. These constituents exert multiple pharmacological effects, such as antioxidant, hypoglycemic, cardioprotective, antibacterial, anticancer, antidepression, and hepatoprotective properties. There are very few summarized reports on E. ferox, albeit with its high nutritional value and beneficial activities. Therefore, we collected the reported literatures (since 1980), medical classics, databases, and pharmacopeia of E. ferox, and summarized the botanical classification, traditional uses, phytochemicals, and pharmacological effects of E. ferox, which will provide new insights for the further research and development of EFS-derived functional products.
Machine Learning Based Indoor Localization Under Shadowing Condition for P-NOMA VLC Systems
Authors: Affan Affan , Asif Hafiz M. , Tarhuni Naser
Published: May 2023

The communication link between the base station and the mobile sensor networks, such as multi-agent systems for collaborative tasks which include ground mobile robots and drones, is crucial for localization and success of tasks in indoor environments. The Power-domain Non-Orthogonal Multiple Access (P-NOMA) is an emerging multiplexing technique that enables the base station to accumulate signals for different agents using the same time-frequency channel. The environment information such as distance from the base station is required at the base station to calculate communication channel gains and allocate suitable signal power to each agent. The accurate estimate of the position for power allocation of P-NOMA in a dynamic environment is challenging due to changing location of the end-agent and shadowing. In this paper, we take advantage of the two-way Visible Light Communication (VLC) link to: (1) estimate the position of the end-agent in a real-time indoor environment based on the signal power received at the base station and (2) allocate resources using the Simplified Gain Ratio Power Allocation (S-GRPA) scheme with the look-up table method. In addition, we use the Euclidean Distance Matrix (EDM) to estimate the location of the end-agent whose signal was lost due to shadowing.
Vapor Composition and Vaporization Thermodynamics of 1-Ethyl-3-Methylimidazolium Hexafluorophosphate Ionic Liquid
Authors: Dunaev Anatoliy M. , Motalov Vladimir B. , Korobov Mihail A. , Govorov Dmitrii , Aleksandriiskii Victor V. , Kudin Lev S.
Published: May 2023

The processes of the sublimation and thermal decomposition of the 1‐ethyl‐3‐methylimidazolium hexafluorophosphate ionic liquid (EMImPF6) were studied by a complex approach including Knudsen effusion mass spectrometry, IR and NMR spectroscopy, and quantum chemical calculations. It was established that the vapor over liquid phase primarily consists of decomposition products under equilibrium conditions. Otherwise, the neutral ion pairs are the only vapor components under Langmuir conditions. To identify the nature of the decomposition products an experiment on the distillation of the ionic liquid was performed and the collected distillate was analyzed. It was revealed by the IR and NMR spectroscopy that EMImPF6 decomposes to substituted imidazole‐2‐ylidene (C6N2H10PF5) and HF. The measured vapor pressure of C6N2H10PF5 reveals a very low activity of the decomposition products (<10–4) in the liquid phase. The absence of significant accumulation of decomposition products in the condensed phase makes it possible to determine the enthalpy of sublimation of the ionic liquid assuming its unchanged activity. The thermodynamics of the EMImPF6 sublimation was studied by Knudsen effusion mass spectrometry. The formation enthalpy of EMImPF6 in ideal gas state was found from combination of the sublimation enthalpy and formation enthalpy of ionic liquid in the condensed state. The obtained value is in good agreement with those calculated by quantum chemical methods.
Greening and Browning Trends on the Pacific Slope of Peru and Northern Chile
Authors: Lepage Hugo Vincent , Barnes Eustace , Kor Eleanor , Hunter Morag , Barnes Crispin H. W.
Published: May 2023

Accurate detection and quantification of regional vegetation trends is essential for understanding the dynamics of landscape ecology and vegetation distribution. We applied a comprehensive trend analysis to satellite data to describe geo-spatial changes in vegetation along the Pacific slope of Peru and northern Chile, from sea level to the continental divide, a region characterised by biologically unique and highly sensitive arid and semi-arid environments. Our statistical analyses show broad regional patterns of positive trends in EVI, called “greening” alongside patterns of “browning” where trends are negative between 2000 and 2020. The coastal plain and foothills, up 1000m, contain notable greening of the coastal Lomas and newly irrigated agricultural lands occurring alongside browning trends related to changes in land use practices and urban development. Strikingly, the precordilleras show a distinct ’greening strip’ which extends from approximately 6°S to 22°S, with an altitudinal trend; ascending from the tropical lowlands (170-780 m) in northern Peru, to the subtropics (1000-2800 m) in central Peru, and temperate zone (2600-4300 m) in southern Peru and northern Chile. We find that the geographical characteristics of the greening strip do not match climate zones previously established by Köppen and Geiger. Greening and browning trends in the coastal deserts and the high Andes lie within well defined climatic and life zones, producing variable but identifiable trends. However, the distinct Pacific slope greening presents an unexpected distribution with respect to the regional Köppen-Geiger climate and life zones. This work provides insights on understanding the effects of climate change on Peru’s diverse ecosystems in highly sensitive, biologically rich arid and semi-arid environments on the Pacific slope.
ECG-Gated CCTA in the Assessment of Post-procedural Complications
Authors: Liguori Carlo , Lassandro Giulia , Ferrandino Giovanni , Picchi Stefano Giusto , Tamburrini Stefania , Toro Gabriella , Tamburro Fabio , Masala Salvatore , Scaglione Mariano
Published: May 2023

Introduction: The aim of our study was to assess the role of ECG-gated Coronary CT Angiography (CCTA) in the diagnosis, imaging follow-up, and treatment guidance in post-procedural/surgical interventions of the heart and thoracic aorta (PTCA, TAVI, PMK/ICD placement, CABGs).
The Removal of Co (II) and Ni (II) from Model Wastewater by Functionalized Clay Hybrid Membrane
Authors: Madheswaran Saranya , Raol Hemendrasinh , Choudhury Tanushree
Published: May 2023

The present work is focused on functionalizing Montmorillonite (Mt) with poly dimethyl siloxane (PDMS) to develop a hybrid membrane reactor for the removal of Co (II) and Ni (II) ions from model wastewater samples. The specific surface area of the novel material was found to be 444 m2 /g. X-Ray Diffraction (XRD) and Fourier Transform Infra-Red (FTIR) spectra reveal the formation of exfoliated composite material. The efficiency of this membrane material was determined by subjecting it to continuous filtration experiments. It was able to remove 50% of Co (II) and 75% of Ni (II) ions, respectively, in one cycle of filtration in less than three minutes of operation with a permeate flux rate of 675 L/m2/H and 975 L/m2/H respectively, for both the ions.
An Analysis of the Benefits and Risks of China's Outward Foreign Direct Investment (OFDI) in the Energy Sector along the Belt and Road Initiative (BRI)
Authors: Kovalova Erika , Gogolová Martina
Published: May 2023

China's gradually increasing assertiveness at the international level marked the beginning of several influential geopolitical projects. The biggest of these is the Belt and Road Initiative, which will be the subject of this post. The Chinese government initiated the BRI in 2013 to revive the historic Silk Road. The name of the new initiative was chosen based on well-known historical parallels, emphasizing the ideological component of China's current position. At the same time, neo-mercantilism prevails in China, and we can say that all roads lead to China, which means that the current nature of Chinese strategic planning corresponds to the increasingly important role of the state in international relations and strengthens its position in the world economy. The aim of the paper is to use the methods of analysis, synthesis, deduction, induction, comparison, and explanation to analyse Chinese investments that flow into various sectors worldwide, but especially into the countries participating in the Belt and Road Initiative from 2013 to the present. The largest such sector is the energy sector, which we will look at in more detail in the post. Finally, the contribution will be focused on predicting the development of further investments based on the available information as well as our own suggestions and recommendations to make them more efficient.
Cannabidiol for Oral Health: A New Promising Therapeutical Tool in Dentistry
Authors: Bellocchio Luigi , Patano Assunta , Inchingolo Alessio Danilo , Inchingolo Francesco , Dipalma Gianna , Isacco Ciro Gargiulo , De Ruvo Elisabetta , Rapone Biagio , Mancini Antonio , Lorusso Felice , Scarano Antonio , Malcangi Giuseppina , Inchingolo Angelo Michele
Published: May 2023

The medical use of Cannabis has a very long history. Although many principles are present in cannabis, called cannabinoids, Δ9tetrahydrocannabinol (Δ9-THC), cannabidiol (CBD) and can-nabinol (CBN) are the three main cannabinoids most present and described. CBD itself is not re-sponsible for psychotropic effects of cannabis since does not produce the typical behavioral effects associated to the consumption of this drug. Cannabidiol (CBD) has recently gained growing at-tention in modern society and seems to be more and more explored in dentistry. Several subjective findings suggest some therapeutic effects of CBD, which are strongly supported by research evi-dence. However, there is a plethora of data regarding CBD’s mechanism of action and therapeutic potential, which are in many cases contradictory. We will first provide an overview of scientific evidence on the molecular mechanism of CBD’s action. Furthermore, we will map the recent de-velopments regarding possible oral benefits of CBD. In summary, we will highlight CBD’s prom-ising biological features for dentistry application, despite exiting patents suggest current the compositions for oral care as the main interest for industry.
Recent Advances in the Plasma-Assisted Synthesis of Silicon-Based Thin-Films and Nanostructures
Authors: Mandracci Pietro , Rivolo Paola
Published: May 2023

Silicon-based thin-films and nanostructures are of paramount importance in a wide range of applications, including microelectronics, photovoltaics, large area sensors, as well as biomedicine. The wide accessibility of silicon and its relatively low cost have driven a continuous improvement of the technology based on this element. Plasma technology has been widely used for the synthesis of coatings and nanostructures based on silicon. Moreover, it has given a fundamental contribution for continuously improving the control of the physicochemical properties of silicon-based materials, and for allowing the synthesis of nanometric structures with well-defined shape and morphology. In this work, we have reviewed the most interesting developments of plasma-assisted processed for the synthesis of Si-based materials, both inorganic and organic, in the last five years. A special attention has been given to the new techniques, or modifications of already existing ones, that open new possibilities for the synthesis of materials with new properties, as well as nanostructures with novel characteristics.
Role of SNAREs and Rabs in Myelin Regulation
Authors: Margiotta Azzurra
Published: May 2023

The nervous system is composed of neurons, which conduct the signals, and glial cells that provide metabolic and functional support and protection to neurons. An important component of the nervous system is the myelin sheath, an insulating layer around the nerves of the brain and spinal cord, which allows a fast and efficient nerve conduction and therefore the proper transmission of signal to all tissues and organs. Myelin is made of protein and fatty substances and gives protection for the propagation of the electrical impulse. Myelin alterations determine the onset of several neuropathies as the electrical signal can be slowed or stopped. Myelin is formed by oligodendrocytes in the central nervous system (CNS) and by Schwann cells in the peripheral nervous system (PNS). Differences in myelination in the CNS and PNS have been found and molecules involved in membrane trafficking such as SNAREs and rabs have been proved to contribute to several aspects regarding the formation of myelin or dysmyelination. Here, I will describe the role of these proteins in regulating membrane trafficking and nerve conduction, myelin biogenesis and maintenance.
Technological Innovations in COVID-19 Diagnostics in Singapore
Authors: Ng Wenfa
Published: May 2023

Due to species barriers and poor adaptability to new host environments, few pathogens cause global pandemics. But, SARS-CoV-2 is one exception with its high transmissivity and delayed onset of symptoms. Fortunately, the world was able to tap on the technologies especially the maturing RT-qPCR designed to combat SARS to launch an initial offensive on SARS-CoV-2. These initial efforts may have bought time for scientists to develop more refined diagnostic tests that specifically target SARS-CoV-2. This article describes the effort put forth by the biotech industry and academia in Singapore to develop diagnostic tests that aid the early detection of positive cases, and thereby help contain the virus. Direct tests such as RT-qPCR and antigen rapid test profile the virus nucleic acid and surface proteins, respectively. But, of equal importance in case detection and treatment is serological tests that measure the relative abundance of IgM and IgG which is indicative of infection phase and quality of immune response in positive cases. Other tests such as isothermal amplification, CRISPR-based diagnostics and breath tests are also in development or at initial field deployment, and would undoubtedly provide valuable use experience useful for the development of molecular assays to detect and combat the next pathogen of global concern.
Free-edge Effect on the Tensile Properties of 3D Woven Composites
Authors: Wu Zengwen , Li Ce , Liao Feng , Liu Gang , Zeng Shan
Published: May 2023

Free-edge effect is one of the factors affecting the mechanical properties of three-dimensional woven composites under tensile load. However, current research is relatively poorly understood regarding the effect of free-edge on the stiffness and strength of the material. This paper aims at examining the influence of free-edge effect on the mechanical properties of 3D woven composites under tension through experimental and simulation mathods. The three-dimensional DIC technique is used to collect the full-field strains on the specimen surface during the test, and the stress-strain differences in different regions in the width direction are analyzed, and the overlap of the curves in each region is found to be high. Experimental studies are conducted on specimens of different widths (within the range of 15-20 mm), and the results indicate that the differences in mechanical properties of 3D woven composites under tension loading in this width range are not significant. A progressive damage finite element model is developed for calculation and compared with experimental results.
MENCIPTAKAN BUDAYA BERSIH DALAM PENGELOLAAN SAMPAH ORGANIK DI LINGKUNGAN JATILUWIH MELALUI BIOPORI
Authors: Sudharma Kadek Januarsa Adi , Putra I Gede Ryan Mahendra
Published: May 2023

Sampah kini telah memantapkan dirinya sebagai persoalan bersama yang kerap menimpa lingkungan sekitar kita, khususnya Desa Jatiluwih. Hingga saat ini, upaya pengelolaan sampah menjadi sumber permasalahan utama warga Desa Jatiluwih. Salah satu bidang yang sangat krusial untuk dikonsentrasikan oleh Desa Jatiluwih adalah pengelolaan sampah karena sampah merupakan salah satu isu yang membahayakan potensi desa dari segi pertanian dan pariwisata. Sampah-sampah yang ada di Desa Jatiluwih berpotensi merusak ekosistem dan berdampak buruk bagi pertanian desa tersebut. Pembuatan lubang biopori merupakan salah satu strategi yang dapat digunakan untuk mengatasi masalah ini. Tujuan menyeluruh proyek layanan masyarakat ini adalah untuk 3R.
Spatial-Temporal Variation of Land Use Changes In Ambon City
Authors: Lasaiba Mohammad Amin
Published: May 2023

Changes in land use have caused various spatial consequences that occur substantially in an area. This study examines the pattern of land use changes from different room variations. The research was at a location in Ambon City. The materials in this study are Landsat 8 OLI/TIRS in 2010 and 2020, DEM SRTM, administrative maps, and development center maps. Research data were analyzed descriptively analytical, spatial, and temporal from the overlay results. The study results in show changes over ten years (2010-2020), indicating an increase in settlements covering an area of 23,810 ha per year. Differences in spatial variations based on administrative site, additional blocks in Sirimau District covering an area of 76,880 ha, and withdrawal of the most significant land in mixed gardens surrounding an area of 58,859 ha. In addition, there was additional weaponry on steep slopes (15 -30%) covering an area of 38,503 ha and a protected area of 16,505 ha by converting the use of forest land covering an area of 17,366 ha, and most of it took place in the city center. The addition of settlements also occurred in an accessibility ( 3 km) area of 116,370 ha, most scattered in the secondary center of 86,520 ha.
The Ngoko Javanese Stemmer uses the Enhanced Confix Stripping Stemmer Method
Authors: Melia Shevia Ilfa , Sholihah Jamiatus , Nisak Dianatin , Juniaristha Intan Sukma , Ni'mah Ana Tsalitsatun
Published: May 2023

Stemming is vital in text processing. The stemming that is most often encountered is Indonesian and English stemming. This is because more articles are processed in text processing in English and Indonesian. Indonesia has several regional languages, especially local school content, often used in learning. Therefore, research is needed to process Javanese language texts to make it easier for education practitioners, especially in Ngoko Javanese. Ngoko Javanese stemming, which still uses the affix removal stemmers method (rule-based approach) in previous research. Has a problem, namely the lack of success of this method when returning the root words of Ngoko Javanese, so it is necessary to check the Ngoko Javanese dictionary so that the results of the root words obtained are maximized. This study aims to conduct stemmer research on Ngoko Javanese using the Enhanced Confix Stripping (ECS) method. This stemmer is designed to do word splitting according to the Enhanced Confix Stripping algorithm and through checking the dictionary adapted to the Ngoko Javanese language. The results of this study are the ability to extract essential words in Javanese Ngoko to achieve a level of truth in returning root words reaching 97 percent.