bluuebunny/crossref_metadata_2025 huggingface dataset:
Vitamin D Influences the Activity of Mast Cells in Allergic Manifestations and Potentiates Their Effector Functions against Pathogens
Authors: Mehrani Yeganeh , Morovati Solmaz , Tieu Sophie , Karimi Negar , Javadi Helia , Vanderkamp Sierra , Sarmadi Soroush , Tajik Tahmineh , Kakish Julia E. , Bridle Byram W. , Karimi Khalil
Published: September 2023

Mast cells (MCs) are abundant at sites exposed to the external environment and pathogens. Local activation of these cells, either directly via pathogen recognition or indirectly via interaction with other activated immune cells and results in the release of pre-stored mediators in MC granules. The release of these pre-stored mediators helps to enhance pathogen clearance. While MCs are well known for their protective role against parasites, there is also significant evidence in the literature demonstrating their ability to respond to viral, bacterial, and fungal infections. Vitamin D is a fat-soluble vitamin and hormone that plays a vital role in regulating calcium and phosphorus metabolism to maintain skeletal homeostasis. Emerging evidence suggests that vitamin D also has immunomodulatory properties on both the innate and adaptive immune systems, making it a critical regulator of immune homeostasis. Vitamin D binds to its receptor, called the vitamin D receptor (VDR), which is present in almost all immune system cells. The literature suggests that a vitamin D deficiency can activate MCs, and vitamin D is necessary for MC stabilization. This manuscript explores the potential of vitamin D to regulate MC activity and combat pathogens, with a focus on its ability to fight viruses.
Design and Characterization of Electroconductive Graphene-Coated Cotton Fabric for Wearable Electronics
Authors: Badawi Nujud Mohammed , Batoo Khalid Mujasam , Hussain Sajjad , Agrawal Namrata , Bhuyan Mrutunjaya , Bashir Shahid , Subramaniam Ramesh , Kasi Ramesh
Published: September 2023

Efficient energy storage is becoming a serious niche area nowadays due to exponential growth in energy consumption. Different approaches have been developed and implemented to improve the performance of the devices, in which improving conductivity is a major issue. In the present work, cotton fabric was converted into a conductive material by incorporating graphene, using the Layer-by-Layer (LBL) method, followed by heating at 100 °C. The electrical conductivity of the cotton using different concentrations of graphene was studied. The graphene-coated cotton, at the 17th layer, with a concentration of 168.36 wt.% resulted in a surface resistance of 0.644 Ω/sq and retained the maximum resistance even after two months. Scanning electron microscopy (SEM) and Energy-dispersive X-ray spectroscopy analysis (EDX) were employed to comprehend the surface morphology and elemental compositions. Fourier transform infrared (FTIR) spectroscopy, UV-vis absorption, and X-ray diffraction (XRD) were used to determine the structural analysis, which revealed a good dispersion of graphene in the cotton samples obtained through dimethyl sulfoxide (DMSO) doping, which reduced the ripple of the cotton. The cotton fabric treated with graphene was thermally stable, as shown through thermal analysis. From the results obtained, it is evident that graphene-treated cotton fabric materials show tremendous potential for use in smart textiles and also as protective clothing.
Seroprevalence of IgA and IgG against SARS-CoV-2 and Risk Factors in Workers from Public Markets of Guatemala
Authors: Grajeda Laura M. , Mendizábal-Cabrera Renata , Romero Juan Carlos , López María Reneé , Morales Evelyn , López Beatriz , Zielinski Emily , Cordón-Rosales Celia
Published: September 2023

Public market workers may be disproportionally exposed to SARS-CoV-2 due to interactions with shoppers. We aimed to estimate the seroprevalence of SARS-CoV-2 and determine whether occupation or adherence to preventive practices were associated with exposure. From July to December 2021, we longitudinally surveyed two Guatemalan markets twice. We collected blood to detect anti-S IgA, anti-S IgG, and anti-N IgG using ELISA, and a nasopharyngeal swab to detect SARS-CoV-2 using rRT-PCR. We estimated seroprevalences and assessed associations using generalized estimating equations. Of 229 workers, 109 (48%) participated in the first survey and 87 (38%) in the second. At baseline, 77% were female, 64% were aged <40, and 81% were vendors. Overall, the seroprevalence increased between surveys (61% to 89% for anti-S IgA, 53% to 91% for anti-S IgG, and 22% to 29% for anti-N IgG), but the magnitude differed by vaccination status and antibody type. The prevalence of infections decreased from 13% to 1% and most were asymptomatic. Vendor occupation was associated with IgA and IgG anti-S in males but not females. Using a mask was a protective measure. Most market workers had been exposed to SARS-CoV-2, possibly through asymptomatic individuals. Masking is a protective measure to be prioritized during high transmission.
Investigating the Fundamental Conditions for Quantitative Growth to Obtain High-Quality WS2 Using a Process of Physical Vapor Deposition
Authors: Madoune Yassine , Madoune Sid Ali , Zhang Luzhi , Taha Reyadh A. M. , Awwad Fuad A. , Ismail Emad A. A.
Published: September 2023

Two-dimensional layered transition-metal dichalcogenides (2D-TMDs) have garnered significant attention due to their layer number-dependent electronic properties, making them promising candidates for atomically thin electronics and optoelectronics. However, current research has primarily focused on exfoliated TMD materials, which have limitations in size, layer number control, and yield. Therefore, a crucial challenge remains in producing large single TMD crystals with precise control over the layer number. A comprehensive understanding and precise control of the growth conditions are imperative to address this challenge. This study systematically investigated key growth conditions, including temperature, precursor flow, growth duration, material quantity, gas flow, and slide position. By optimizing these parameters, we successfully synthesized TMD materials with an impressive size of 850 µm. Notably, we achieved the preparation of monolayer WS2 single crystals on a large scale within a remarkably short duration of 10 min, exhibiting a lateral growth rate of up to 1.4 μm/s, which is comparable to the best-exfoliated monolayers. The findings from our study provide a robust pathway for the rapid growth of high-quality TMD single crystals, facilitating further advancements in this field.
Durvalumab Treatment Patterns for Patients with Unresectable Stage III Non-Small Cell Lung Cancer in the Veterans Health Administration (VHA): A Nationwide, Real-World Study
Authors: Moore Amanda M. , Nooruddin Zohra , Reveles Kelly R. , Datta Paromita , Whitehead Jennifer M. , Franklin Kathleen , Alkadimi Munaf , Williams Madison H. , Williams Ryan A. , Smith Sarah , Reichelderfer Renee , Cotarla Ion , Brannman Lance , Frankart Andrew , Mulrooney Tiernan , Hsieh Kristin , Simmons Daniel J. , Jones Xavier , Frei Christopher R.
Published: September 2023

Background: Durvalumab is approved for the treatment of adults with unresectable stage III non-small cell lung cancer (NSCLC) post-chemoradiotherapy (CRT). This real-world study describes patient characteristics and durvalumab treatment patterns (number of doses and therapy duration; treatment initiation delays, interruptions, discontinuations, and associated reasons) among VHA-treated patients. Methods: This was a retrospective cohort study of adults with unresectable stage III NSCLC receiving durvalumab at the VHA between 1 January 2017 and 30 June 2020. Patient characteristics and treatment patterns were presented descriptively. Results: A total of 935 patients were included (median age: 69 years; 95% males; 21% Blacks; 46% current smokers; 16% ECOG performance scores ≥ 2; 50% squamous histology). Durvalumab initiation was delayed in 39% of patients (n = 367). Among the 200 patients with recorded reasons, delays were mainly due to physician preference (20%) and CRT toxicity (11%). Overall, patients received a median (interquartile range) of 16 (7–24) doses of durvalumab over 9.0 (2.9–11.8) months. Treatment interruptions were experienced by 19% of patients (n = 180), with toxicity (7.8%) and social reasons (2.6%) being the most cited reasons. Early discontinuation occurred in 59% of patients (n = 551), largely due to disease progression (24.2%) and toxicity (18.2%). Conclusions: These real-world analyses corroborate PACIFIC study results in terms of the main reasons for treatment discontinuation in a VHA population with worse prognostic factors, including older age, predominantly male sex, and poorer performance score. One of the main reasons for durvalumab initiation delays, treatment interruptions, or discontinuations was due to toxicities. Patients could benefit from improved strategies to prevent, identify, and manage CRT and durvalumab toxicities timely and effectively.
Recent Advancements in the Surgical Treatment of Brain Tumors
Authors: Oya Soichi
Published: September 2023

The surgical removal of brain tumors is essential for improving patient quality of life and survival [...]
Next Generation Sequencing of Bee Gut Microbiota in Urban and Rural Environments
Authors: Rüstemoğlu Mustafa
Published: September 2023

The gut microbiota plays a vital role in the physiological and behavioral processes of organisms, thereby influencing the quality of life of their host. Investigating the microbial diversity of the gut microbiota of Apis mellifera, the ecological organizer, may provide key insights into the ecological and health-related factors affecting host populations. This study aims to investigate the comparative gut microbiota of forager A. mellifera collected from both rural and urban environments in each of the four provinces located in southeastern Türkiye by employing Next Generation Sequencing (NGS) technology, specifically amplicon metagenome sequencing targeting the V3–V4 region of the 16S rRNA gene. In general, the urban samples possessed a higher level of gut microbial diversity when compared with the rural samples. Interestingly, the rural samples, in addition to the majority of previously reported core microbiota members, contained human pathogens such as Salmonella enterica, Klebsiella pneumoniae, Escherichia coli, and Streptococcus pyogenes. Moreover, this study is the first to report the predominant existence of Enterococcus wangshanyuanii, Alkalihalobacillus halodurans, and Vitreoscilla sp. in several samples. This study contributes to the idea that urban apiculture practices can alter bacteria residing in the digestive tracts and discusses possible effects of potential infestation of A. mellifera by human-pathogenic bacteria on different aspects of life traits.
Hierarchical Matching Algorithm for Relay Selection in MEC-Aided Ultra-Dense UAV Networks
Authors: Liang Wei , Ma Shaobo , Yang Siyuan , Zhang Boxuan , Gao Ang
Published: September 2023

With the rapid development of communication technology, unmanned aerial vehicle–mobile edge computing (UAV-MEC) networks have emerged with powerful capabilities. However, existing research studies have neglected the issues involving user grouping and relay selection structures under UAV cluster-assisted communication. Therefore, in this article, we present a comprehensive communication–computing resource allocation for UAV-MEC networks. In particular, ground users make stable user groups first, and then multiple UAVs act as relays in order to assist these user groups in simultaneously uploading their tasks to the terrestrial base station at the edge server. Moreover, in order to maximize the system’s overall throughput, a more flexible and hierarchical matching relay selection algorithm is proposed in terms of matching the ground user groups and corresponding UAVs. For vulnerable users, we also propose a weighted relay selection algorithm to maximize the system performance. Furthermore, simulation results show that the proposed relay selection algorithm achieves a significant gain in comparison with the other benchmarks, and the stability of the proposed algorithms could be verified.
Global Sensitivity of Penman–Monteith Reference Evapotranspiration to Climatic Variables in Mato Grosso, Brazil
Authors: Sabino Marlus , de Souza Adilson Pacheco
Published: September 2023

Understanding how climatic variables impact the reference evapotranspiration (ETo) is essential for water resource management, especially considering potential fluctuations due to climate change. Therefore, we used the Sobol’ method to analyze the spatiotemporal variations of Penman–Monteith ETo sensitivity to the climatic variables: downward solar radiation, relative humidity, maximum and minimum air temperature, and wind speed. The Sobol’ indices variances were estimated by Monte Carlo integration, with sample limits set to the 2.5th and 97.5th percentiles of the daily data of 33 automatic weather stations located in the state of Mato Grosso, Brazil. The results of the Sobol’ analysis indicate considerable spatiotemporal variations in the sensitivity of ETo to climatic variables and their interactions. The dominant climatic variable responsible for ETo fluctuations in Mato Grosso is incident solar radiation (53% to 93% of annual total sensitivity—Stot), which has a more significant impact in humid environments (70% to 90% of Stot), as observed in the areas of the Amazon biome in the state. Air relative humidity and wind speed have higher sensitivity indices during the dry season in the Cerrado biome (savanna) areas in Mato Grosso (20% and 30% of the Stot, respectively). Our findings show that changes in solar radiation, relative humidity, and wind speed are the main driving forces that impact the reference evapotranspiration.
Monetary Policy and Foreign Direct Investment—Empirical Evidence
Authors: Nguyen Van Chien
Published: September 2023

The purpose of this study is to evaluate the impact of monetary policy on attracting foreign direct investment. We used data for typical countries in Southeast Asia for the period 1997 to 2020, using regression of least squares (OLS), fixed effects (FEM) and random effects (REM), as well as cross-sectional dependence test based on panel-corrected standard errors (PCSE) and Driscoll-Kraay standard errors to evaluate differences in monetary policies of Southeast Asian countries over time. The results confirm that expansionary monetary policy has a negative influence on attracting foreign direct investment, while contractionary monetary policy has the effect of promoting the flow of international capital into Southeast Asian countries. The study also confirmed the positive impact of trade liberalization and the quality of human resources on the ability to attract foreign direct investment. However, no effect on foreign direct investment was found for urbanization rate, population size, or number of tourists.
Geomechanics for Energy and the Environment
Authors: Feng Gan , Xie Hongqiang , Liu Ang , Taherdangkoo Reza , Lyu Qiao
Published: September 2023

Geological energy is an abundant source of energy on Earth, encompassing both fossil and non-fossil forms such as oil, natural gas, coal, geothermal energy, shale gas, and coalbed methane [...]
Methodology for Assessing the Level of Electricity Self-Sufficiency in European Union Countries
Authors: Sytnik Inessa , Stopochkin Artem
Published: September 2023

The modern global geopolitical transformations fueled by the armed conflict in Ukraine have greatly affected the countries of the European Union. Energy has become one of the biggest economic problems. The main objective of this study is to develop a methodology for assessing the level of electricity self-sufficiency in European Union member states. The author’s methodology is based on estimating the volume of exports and imports of electricity in relation to the amount of energy produced in individual EU countries. This approach makes it possible to determine the limits of effective electricity policy and distinguish the necessary changes and directions of action in the development of the energy sector at national and EU levels. The approval of the author’s methodology, carried out on the example of Croatia, made it possible to determine the current state of the country’s electricity system and the level of its security, and to distinguish the boundaries of the country’s effective electricity policy—the “triangle of effective policy”.
Revitalization Modelling of a Mature Oil Field with Bottom-Type Aquifer into Geothermal Resource—Reservoir Engineering and Techno-Economic Challenges
Authors: Tuschl Martina , Kurevija Tomislav
Published: September 2023

The possibilities of using geothermal energy are slowly expanding to all areas of energy consumption, so the assessment of geothermal potential has become the backbone of energy policies in countries that have the potential. Countries and companies that have experience in the oil and gas industry are increasingly exploring the possibilities of first using the acquired knowledge, and then using the existing oil and gas infrastructure for the use of geothermal energy. For this reason, it is necessary to analyse the possibilities of using the existing infrastructure with all its limitations to maximise the energy potential of geothermal energy. The existing oil infrastructure, especially the wells, is in many cases not suitable for the production of brine and it is necessary to analyse the maximum impact of each well for the production of geothermal energy, with particular attention to the equipment installed in the well and the thickness of the geothermal reservoir in the oil and gas fields that would be suitable for the production of brine.
Research on Innovative Hybrid Excited Synchronous Machine
Authors: Palka Ryszard , Cierzniewski Kamil , Wardach Marcin , Prajzendanc Pawel
Published: September 2023

This paper presents research on an unconventional electric machine. It is a hybrid excited machine which includes the features of three types of machines: the Permanent Magnet Synchronous Machine, the Synchronous Machine, and the Synchronous Reluctance Machine. Therefore, a broad literature review related to the above-mentioned types of machines was constructed. The well-known Permanent Magnet assisted Synchronous Reluctance Machine joins features of Permanent Magnet Synchronous Machine and Synchronous Reluctance Machine topologies. This paper shows the results of the innovative design of the Hybrid Excited Permanent Magnet assisted Synchronous Reluctance Machine, which additionally has advantages of the Synchronous Machine. In the article the basic methods of electromagnetic flux control and the designs using them are also presented. Finally, the results of simulation studies of the effect of the stator skew on the machine performance are described.
A Fuzzy Logic Approach to Health Index Determination for a Gas-Insulated Switchgear
Authors: Panmala Nattapon , Suwanasri Thanapong , Suwanasri Cattareeya
Published: September 2023

This paper presents a fuzzy logic approach, a simplified and adaptable method, to determine the health index of gas-insulated switchgear (GIS) bay and their compartments. Since the traditional weighting and scoring method (WSM) is a subjective method, the fuzzy logic approach has been applied to enhance the accuracy of the health index (HI) determination by evaluating the detectable degradation and the incorporated conditional factor (CF) considering actual operating conditions and invisible ageing. The input data are first obtained from routine inspection and time-based testing and then converted to numerical values as the fuzzy logic model input to compute the component HI. The bay HI values are further calculated by applying the WSM using the obtained component of the HI. Then, the accuracy of the obtained HI of the bay has been improved by multiplying with the CF to obtain the overall bay HI values. The proposed methodology was implemented in an independent power producer in a large industrial estate in Thailand to evaluate 175 GIS bays with actual data. The results were compared against other HI evaluation techniques with a satisfactory outcome. Finally, the overall bay HI is used to prioritize maintenance activity, to effectively allocate human resources, to prevent unplanned outages, and to achieve cost-effective, condition-based maintenance.
Beyond Bitcoin: Evaluating Energy Consumption and Environmental Impact across Cryptocurrency Projects
Authors: Khosravi Ali , Säämäki Fanni
Published: September 2023

Since their inception with Bitcoin in the late 2000s, cryptocurrencies have grown exponentially, reshaping traditional financial paradigms. This transformative journey, while innovative, brings forth pressing concerns about their energy consumption and carbon footprint. While many studies tend to zoom in on Bitcoin, this paper broadens the perspective by evaluating energy consumption across various cryptocurrencies. We analyze nine cryptocurrency projects, chosen for their market value, technology, and data availability. These span a spectrum from pioneering to emerging digital coins, offering a holistic view of the crypto realm. To contextualize, we juxtapose the energy usage of these digital currencies with traditional payment means like Visa and Mastercard. Our analysis shows vast differences in energy use among cryptocurrencies, largely tied to their consensus algorithms. Notably, while Bitcoin stands out as highly energy-intensive, several newer digital currencies have energy footprints mirroring those of conventional payment methods. Additionally, CO2 emissions estimation presents challenges due to variances in miner locations and regional energy sources, with potential higher emissions if concentrated in carbon-intensive regions like China. Nonetheless, the silver lining emerges as many cryptocurrencies, especially those beyond Bitcoin, register considerably lower CO2 emissions. By moving the lens beyond Bitcoin, this paper paints a more nuanced picture of the environmental ramifications of the crypto world.
3D Analysis of Hydrogen Distribution and Its Mitigation Using Passive Autocatalytic Recombiners (PARs) Inside VVER-1000 Containment
Authors: Kanik Muhammet Enis , Noori-kalkhoran Omid , Fernández-Cosials Kevin , Gei Massimiliano
Published: September 2023

Hydrogen is a flammable gas that can generate thermal and mechanical loads which could jeopardise the containment integrity upon combustion inside nuclear power plants containment. Hydrogen can be generated from various sources and disperses into the containment atmosphere, mixing with steam and air following a loss of coolant accident and its progression. Therefore, the volumetric hydrogen concentration should be examined within the containment to determine whether a flammable mixture is formed or not. Codes with 3D capabilities could serve this examination by providing detailed contours/maps of the hydrogen distribution inside containment in view of the local stratification phenomenon. In this study, a 3D VVER-1000 as-built containment model was sketched in AutoCAD and then processed into GOTHIC nuclear containment analysis code for hydrogen evaluation. The model was modified to a great extent by installing 80 passive autocatalytic recombiners and locating hydrogen sources to evaluate the performance of the hydrogen removal system inside the containment on maintaining the hydrogen concentration below the flammability limit during a large break loss of coolant accident. 2D profiles and 3D contours of volumetric hydrogen concentration with and without PARs are presented as the simulation outcome of this study. The results were validated against the results of the Final Safety Analysis Report, which also demonstrates the effectiveness of the hydrogen removal system as an engineered safety feature to keep the containment within a safe margin. Detailed 3D contours of hydrogen distribution inside containment can be employed to evaluate the local hot spots of hydrogen, rearranging and optimising the number and location of PARs to avoid the hydrogen explosion inside containment.
A Novel False Measurement Data Detection Mechanism for Smart Grids
Authors: Shahid Muhammad Awais , Ahmad Fiaz , Nawaz Rehan , Khan Saad Ullah , Wadood Abdul , Albalawi Hani
Published: September 2023

With the growing cyber-infrastructure of smart grids, the threat of cyber-attacks has intensified, posing an increased risk of compromised communication links. Of particular concern is the false data injection (FDI) attack, which has emerged as a highly dangerous cyber-attack targeting smart grids. This paper addresses the limitations of the variable dummy value model proposed in the authors previous work and presents a novel defense methodology called the nonlinear function-based variable dummy value model for the AC power flow network. The proposed model is evaluated using the IEEE 14-bus test system, demonstrating its effectiveness in detecting FDI attacks. It has been shown that previous detection techniques are unable to detect FDI attacks, whereas the proposed method is shown to be successful in the detection of such attacks, guaranteeing the security of the smart grid’s measurement infrastructure.
Assessment of Soil Quality in the Transformation from Pure Chinese Fir Plantation to Mixed Broad-Leaved and Cunninghamia lanceolata Plantation in Subtropical China
Authors: Cao Xiaoyu , Zhang Zelian , Yan Wende , Mo Yongjun , Wu Shuping , Wang Menglei , Peng Yuanying
Published: September 2023

To assess the alterations in soil properties resulting from the interplanting of broad-leaved tree species within coniferous forests, we conducted an investigation into soil quality in a mixed Chinese fir and broad-leaved forest, as well as in a Chinese fir pure forest (used as a control) in subtropical China. A total of 15 soil physicochemical properties were assessed across three soil depths—0–15 cm, 15–30 cm, and 30–45 cm—for the two forest types in the experimental study. Principal component analysis in conjunction with the Norm value was employed to create a minimal data set (MDS) for assessing six indicators, including bulk density (BD), total nitrogen (TN), total phosphate (TP), available potassium (AK), soil pH, and catalase (CAT). The soil quality index (SQI) was calculated for both forest types. The results demonstrated that following the interplanting of broad-leaved tree species in the Chinese fir forest, all soil physicochemical indicators were significantly improved compared to the control, and significant differences were also observed in the 0–15 cm and 15–30 cm soil layers (p < 0.05). The overall average of the SQI of the mixed forest (0.8523, 0.6636) was significantly higher than that of the control (0.4477, 0.3823) (p < 0.05) in the 0–15 cm and 15–30 cm soil layers, respectively. However, there was no significant difference in the SQI in the 30–45 cm soil layer (p > 0.05) between the two forest types. The results indicated that the SQI based on the minimal dataset (MDS) can reflect the SQI of the total dataset (TDS) when assessing soil quality in forests. Our research provides valuable scientific insights into soil science and an understanding of the relationships between soil properties, forest structure, and species composition in sustainable forest management.
How Forest Management with Clear-Cutting Affects the Regeneration, Diversity and Structure of a Seasonally Dry Tropical Forest in Brazil
Authors: Lopes José Frédson Bezerra , Lopes Fernando Bezerra , Araújo Isabel Cristina da Silva , Pereira Erich Celestino Braga , Brandão Maria Letícia Stefany Monteiro , Feitosa Erialdo de Oliveira , Luna Nayara Rochelli de Sousa , Sousa Geocleber Gomes de , Amorim Aiala Vieira , Iwata Bruna de Freitas , Andrade Eunice Maia de
Published: September 2023

In Brazil, logging in the Seasonally Dry Tropical Forest (SDTF) under management plans that include clear-cutting has increased in recent decades, and the structure, composition, diversity and functioning of the forest likely must have been affected. The aim of this study was to understand the growth dynamics of shrub–tree biomass (STB), species richness and vegetation structure as a function of regeneration time after clear-cutting (treatments), taking the Legal Reserve (40 years of regeneration) as reference. The study was carried out in 2018 at the Ramalhete Settlement, General Sampaio, in the state of Ceará. All plants with a circumference at breast height (CBH) ≥ 6 cm were identified and the CBH was measured across 42 sample plots (20.0 m × 20.0 m), using seven plots per treatment (3, 5, 8, 11 and 15 years after clear-cutting, and the Legal Reserve, 40 years of regeneration). The following were determined: STB (total and by species), density and basal area (by ecological group and diameter class), basal area (species of higher added value), diversity (Hill numbers), and the importance value index (IVI). It was found that during the early years (up to at least 11 years), many important forest characteristics related to the composition of the ecological groups and vegetation structure were strongly affected, and major impacts can be seen, the effects of which, however, decreased over time of regeneration, having almost no effect after 15 years. After 15 years following clear-cutting, the SDTF presented accumulated STB, species richness and structure similar to the area undergoing regeneration for 40 years. However, the small number of indicator species of more-preserved areas (even at T15 and T40) points out that management needs to be improved. However, promoting species of greater added value and determining whether the forest recovers its structure and diversity after successive cutting cycles also still need to be addressed.
Biodiversity and Conservation of Forests
Authors: Xofis Panteleimon , Kefalas Georgios , Poirazidis Konstantinos
Published: September 2023

Forests are extremely valuable ecosystems, associated with a number of ecosystem services that are of significant importance for human wellbeing [...]
Establishment of a Transient Transformation Protocol in Cinnamomum camphora
Authors: Zhang Siyi , Hu Rong , Yang Lin , Zuo Zhaojiang
Published: September 2023

Cinnamomum camphora is an excellent evergreen broad-leaved tree species with strong stress tolerance, but its molecular character revelation as well as ecological and economic value improvement were limited due to the lack of a genetic transformation system. To establish a simple and efficient transient transformation system for uncovering the molecular mechanism of plant tolerating stresses and promoting the selective breeding of good varieties, the infection method, co-cultivation time, infection solution concentration, and growth density of Agrobacterium tumefaciens containing green fluorescent protein (GFP)-based calmodulin protein 3 gene (GCaMP3) were identified by monitoring the fluorescence emitted from GCaMP3 bound to Ca2+. Meanwhile, the transient transformation effects were evaluated via cytoplasmic Ca2+ concentration variations at high temperatures of 35 °C and 40 °C. When C. camphora leaves were infected with A. tumefaciens containing GCaMP3 via injection and soaking, no significant difference was detected in the fluorescence intensity over 48 h, indicating that the two infection methods had the same transient transformation efficiency. By prolonging the co-cultivation time, the fluorescence intensity gradually increased, reached its strongest at the 48th h, and then gradually declined. For the infection solution concentration, an OD600 of 0.7 led to the strongest fluorescence intensity, with an increase of 42.2%, 13.7%, 4.2%, and 14.2%, respectively, compared to that at OD600 of 0.5, 0.6, 0.8, and 0.9. When A. tumefaciens growth density OD600 was 0.5–0.7, the strongest fluorescence intensity was detected after transient transformation. Combining these optimum conditions, GCaMP3 was transferred into C. camphora, which indicated the variations in cytoplasmic Ca2+ concentration at high temperatures, with the fluorescence intensity at 35 °C and 40 °C increasing by 12.6% and 30.6%, respectively, in contrast to that at 28 °C. Therefore, it should be an efficient transient transformation system for C. camphora, with A. tumefaciens growth density OD600 of 0.5–0.7, infection solution concentration OD600 of 0.7, and co-cultivation time of 48 h by using both injection and soak infection methods, which is beneficial for uncovering the Ca2+ signal transduction in the plant tolerating stresses and promoting its molecular biology development and selective breeding of good varieties.
Physicochemical Properties and Biological Characteristics of Sargassum fusiforme Polysaccharides Prepared through Fermentation of Lactobacillus
Authors: Yang Ying , Ouyang Dan , Song Jiayao , Chen Chunyang , Yin Chenjing , Su Laijin , Wu Mingjiang
Published: September 2023

Sargassum fusiforme polysaccharides (SFPs) have multiple activities. The fermentation of S. fusiforme by Lactobacillus can alter its polysaccharide properties and biological activities. In this study, three different Lactobacillus species (Lactobacillus plantarum (LP), Lactobacillus acidophilus (LA), and Lactobacillus rhamnosus (LR)) were selected to ferment S. fusiforme. The polysaccharides SFP (unfermented) and FSFP (fermented by LP, LA, or LR denoted as LP-SFP, LA-SFP, and LR-SFP, respectively) were extracted, and their physicochemical properties and biological activities were investigated. According to the results, fermentation caused significant changes in the physicochemical properties and biological activities of SFP. Specifically, FSFP showed a significant increase in uronic acid and fucose content and a significant decrease in molecular weight; LA-SFP and LR-SFP had stronger DPPH scavenging abilities; LR-SFP had the strongest inhibition of ROS production and cell mortality; LP-SFP and LR-SFP significantly increased SOD activity in zebrafish; LA-SFP had a significant effect on the proliferation of Lactobacillus plantarum; LP-SFP had a significant effect on the proliferation of Lactobacillus rhamnosus; and LA-SFP had a stronger food-excretion-promoting activity. In conclusion, the fermentation of Lactobacillus for the preparation of SFPs can change the physicochemical properties of polysaccharides and has broad potential for improving their biological activity.
Prospective Life Cycle Assessment of Microbial Sophorolipid Fermentation
Authors: Balina Karina , Soloha Raimonda , Suleiko Arturs , Dubencovs Konstantins , Liepins Janis , Dace Elina
Published: September 2023

The biorefinery industry is witnessing a transition from fossil and chemical-based processes to more sustainable practices, with a growing emphasis on using renewable resources. Sophorolipids, a promising group of biosurfactants, present a viable substitute for conventionally produced surfactants. This study focuses on microbial fermentation using yeast and lipid substrate for sophorolipid production. The life cycle assessment (LCA) methodology was employed to identify environmental hotspots of the process and to assess the environmental benefits resulting from the replacement of raw rapeseed cooking oil (base scenario) with waste cooking oil, reduction of process electricity consumption, and increased sophorolipid yield. By compiling scenarios with the lowest environmental impact, a best-case scenario was created. The results revealed that the environmental impact of sophorolipid production could be reduced by 50% in the best-case scenario compared to the base scenario. This research provides valuable insights into the environmental optimization of the fermentation process and through the application of LCA highlights the potential for the reduction of negative environmental impact of sophorolipid production, contributing to the ongoing transition from petroleum oil and petrochemical refineries to sustainable biorefineries.
Automatic Short Text Summarization Techniques in Social Media Platforms
Authors: Ghanem Fahd A. , Padma M. C. , Alkhatib Ramez
Published: September 2023

The rapid expansion of social media platforms has resulted in an unprecedented surge of short text content being generated on a daily basis. Extracting valuable insights and patterns from this vast volume of textual data necessitates specialized techniques that can effectively condense information while preserving its core essence. In response to this challenge, automatic short text summarization (ASTS) techniques have emerged as a compelling solution, gaining significant importance in their development. This paper delves into the domain of summarizing short text on social media, exploring various types of short text and the associated challenges they present. It also investigates the approaches employed to generate concise and meaningful summaries. By providing a survey of the latest methods and potential avenues for future research, this paper contributes to the advancement of ASTS in the ever-evolving landscape of social media communication.
Delay to Deal: Bargaining with Indivisibility and Round-Dependent Transfer
Authors: Fan Jijian
Published: September 2023

We examine a bargaining game in which players cannot make arbitrary offers. Instead, players alternately decide whether to accept or delay, and are rewarded with an indivisible portion and a perishable transfer that depends on the round. Our analysis demonstrates that when the initial transfer is large enough, the subgame perfect Nash equilibrium consists of a finite number of rounds of delay before an agreement is reached. The equilibrium delay is longer when the players are more patient, and when the transfer is initially higher and depreciates slower. Nevertheless, the game’s chaotic characteristic makes it arduous to forecast the exact number of delayed rounds or which player will make the ultimate decision. This game can be applied to many social scenarios, particularly those with exogenous costs.
Adherence to Recommended Immunization Schedules in Patients with Inflammatory Bowel Disease on Biologics and Small Molecule Therapies
Authors: Shehab Mohammad , Almatar Ranim , Almohammad Rawan , Alfadhli Ahmad
Published: September 2023

Introduction: Patients with inflammatory bowel disease (IBD) on biologic therapies are at increased risk of infections, emphasizing the importance of immunization. This study aimed to assess vaccination prevalence among patients with IBD on specific biologic therapies. Methods: A survey-based cross-sectional study was conducted at an IBD center, including patients receiving different biologic therapies from 1 January 2022 to the 30 April 2023. Demographic and vaccination data were collected using patient electronic records and patient interviews. Results: A total 394 patients (100%) received the measles, mumps, rubella (MMR), tetanus, reduced diphtheria, and acellular pertussis (Tdap) vaccine. A total of 79 patients (20%) received the influenza vaccine, 40 patients (10.2%) were vaccinated against hepatitis A (HAV), and 34 patients (8.6%) received the pneumococcal vaccine. From the 103 female patients who are eligible to take human papillomavirus (HPV) vaccine, only 7 (6.8%) received it. Out of the 100 eligible patients above the age of 50, only 9 (9%) received the herpes zoster (HZ) vaccine. Conclusion: The uptake of certain vaccines such as Hepatitis B (HBV), seasonal influenza, HAV, pneumococcal, HZ and HPV vaccines among patients with IBD were below expectations. These findings highlight the need for interventions to improve patients’ awareness and adherence to prevent infectious complications in patients with IBD.
Polymorphisms within the SARS-CoV-2 Human Receptor Genes Associate with Variable Disease Outcomes across Ethnicities
Authors: Adimulam Theolan , Arumugam Thilona , Naidoo Anushka , Naidoo Kogieleum , Ramsuran Veron
Published: September 2023

The contribution of human genes to the variability of disease outcomes has been shown to be important across infectious diseases. Studies have shown mutations within specific human genes are associated with variable COVID-19 outcomes. We focused on the SARS-CoV-2 receptors/co-receptors to identify the role of specific polymorphisms within ACE2, TMPRSS2, NRP1 and CD147. Polymorphisms within ACE2 (rs2285666), TMPRSS2 (rs12329760), CD147 (rs8259) and NRP1 (rs10080) have been shown to associate with COVID-19 severity. Using cryopreserved samples from COVID-19-positive African, European and South Asian individuals within South Africa, we determined genotype frequencies. The genetic variant rs2285666 was associated with COVID-19 severity with an ethnic bias. African individuals with a CC genotype demonstrate more severe COVID-19 outcomes (OR = 7.5; 95% CI 1.164–80.89; p = 0.024) compared with those with a TT genotype. The expressions of ACE2 and SARS-CoV-2 viral load were measured using droplet digital PCR. Our results demonstrate rs2285666 and rs10080 were significantly associated with increased SARS-CoV-2 viral load and worse outcomes in certain ethnicities. This study demonstrates two important findings. Firstly, SARS-CoV-2 viral load is significantly lower in Africans compared with individuals of European and South Asian descent (p = 0.0002 and p < 0.0001). Secondly, SARS-CoV-2 viral load associates with specific SARS-CoV-2 receptor variants. A limited number of studies have examined the receptor/co-receptor genes within Africa. This study investigated genetic variants within the SARS-CoV-2 receptor/co-receptor genes and their association with COVID-19 severity and SARS-CoV-2 viral load across different ethnicities. We provide a genetic basis for differences in COVID-19 severity across ethnic groups in South Africa, further highlighting the importance of further investigation to determine potential therapeutic targets and to guide vaccination strategies that may prioritize specific genotypes.
Empowering Preventive Care with GECA Chatbot
Authors: Maia Eva , Vieira Pedro , Praça Isabel
Published: September 2023

Chatbots have become increasingly popular in the healthcare industry. In the area of preventive care, chatbots can provide personalized and timely solutions that aid individuals in maintaining their well-being and forestalling the development of chronic conditions. This paper presents GECA, a chatbot designed specifically for preventive care, that offers information, advice, and monitoring to patients who are undergoing home treatment, providing a cost-effective, personalized, and engaging solution. Moreover, its adaptable architecture enables extension to other diseases and conditions seamlessly. The chatbot’s bilingual capabilities enhance accessibility for a wider range of users, including those with reading or writing difficulties, thereby improving the overall user experience. GECA’s ability to connect with external resources offers a higher degree of personalization, which is a crucial aspect in engaging users effectively. The integration of standards and security protocols in these connections allows patient privacy, security and smooth adaptation to emerging healthcare information sources. GECA has demonstrated a remarkable level of accuracy and precision in its interactions with the diverse features, boasting an impressive 97% success rate in delivering accurate responses. Presently, preparations are underway for a pilot project at a Portuguese hospital that will conduct exhaustive testing and evaluate GECA, encompassing aspects such as its effectiveness, efficiency, quality, goal achievability, and user satisfaction.
Epidemic-Prevention Measures and Health Management in a Nursing Home during the Coronavirus Disease 2019 Pandemic
Authors: Chuang Shu-Ting , Lin Mei-Hui , Hsu Honda , Chi Chia-Ming , Lee Yu-Ru , Yen Ya-Hui
Published: September 2023

This study aimed to investigate the impact of epidemic prevention and isolation policies on residents’ health and well-being and assess the effectiveness of implementing intervention measures to maintain their quality of life. This mixed-methods research study involved a retrospective record review of residents’ daily life diaries and descriptive statistical analysis. Data were collected between March 2021 and June 2022, and epidemic-prevention measures were implemented using Taiwan’s Centers for Disease Control guidelines. Three interventions were developed to address residents’ health, social, and rehabilitation needs. Despite an overall infection rate of 10% at various times between 2021 and 2022, there were no reported outbreaks of nosocomial infections. The concept of reablement proved effective in helping residents maintain their independence and physical function, with a maintenance rate of 66.6%, thereby improving their quality of life. By implementing epidemic-prevention measures, we found that proper hand washing and the use of surgical masks were effective in controlling infections. Furthermore, the decline in physical function is a continuous and gradual process for older adults. Even under the restriction of social interaction, it is essential to incorporate rehabilitation plans into residents’ daily activities and encourage their active participation, as this promotes improved physical function and enhances their overall quality of life.
Areas of Concern and Support among the Austrian General Population: A Qualitative Content Analytic Mapping of the Shift between Winter 2020/21 and Spring 2022
Authors: Gächter Afsaneh , Zauner Barbara , Haider Katja , Schaffler Yvonne , Probst Thomas , Pieh Christoph , Humer Elke
Published: September 2023

This study aimed to analyze areas of concern and support of the Austrian general population two years into the COVID-19 pandemic. A representative sample (N = 1031) of the Austrian general population was surveyed online between 19 April 2022 and 26 April 2022. A qualitative study design was used to explore the factors of most considerable current concern (Question 1) and the most important sources of support (Question 2). The responses to the two open-ended questions were evaluated using a conventional content analysis, and categories were formed according to the frequency of the answers. The analysis revealed that inflation and finances (30% of participants) and the war in Ukraine (22%) were the greatest sources of concern, followed by mental health (11%), and physical health (11%). Factors such as social contacts within and outside the family were mentioned most frequently as sources of support (36% of participants), followed by recreational activities (23%) and attitudes and abilities (22%). Compared to data collected at the end of the first year of the pandemic (between 23 December 2020 and 4 January 2021), concern about one’s financial situation was now mentioned more frequently (30% vs. 8,5%). On the other hand, different types of pandemic-related concerns were mentioned less often. Social contacts and recreation were mentioned as the most important sources of support at both time points (46% and 36% of the participants). The results suggest that the economic concerns are lagging behind the restrictions imposed by the pandemic. In addition, the impending war in Ukraine seems to have a relevant impact on mental health in Austria. Further nuanced qualitative research, particularly involving vulnerable groups such as low-income individuals and the unemployed, is crucial.