bluuebunny/crossref_metadata_2025 huggingface dataset:
Eudaimonia in the Amazon: Relational Values as a Deep Leverage Point to Curb Tropical Deforestation
Authors: Russo Lopes Gabriela , Bastos Lima Mairon G.
Published: March 2023

Tropical deforestation has been recognized as a major and multi-faceted sustainability issue, frequently analyzed in terms of its economic drivers, the effectiveness of protection policies, or broader political dynamics. Meanwhile, the role of values as underlying social factors affecting land-use choices remains underexplored. Recognizing that values can, however, be important “deep” leverage points for transformative change, we delve into that dimension using the Brazilian Amazon as a case study. Through a total of 72 key-informant interviews and field visits to 25 sustainable land-use initiatives in the states of Acre and Mato Grosso, we identify values that have motivated choices for conservation in deforestation frontiers and how stakeholders articulate them. Our results reveal that different land users make economic considerations, but these are interwoven with relational values—about connections to the landscape or social relations mediated by nature. Eudaimonic values, such as increased meaningfulness, personal growth through learning and knowledge sharing, as well as a sense of contributing to the world, are shown to be key in those initiatives. These findings challenge the commonplace distinction between ‘traditional’ and ‘modern’ people, showing that relational values are relevant across the board and may deserve much more attention as leverage points.
Conventional versus Reduced-Frequency Follow-Up in Early-Stage Melanoma Survivors: A Systematic Review with Meta-Analysis
Authors: Richter Karolina , Stefura Tomasz , Kłos Nikola , Tempski Jonasz , Kołodziej-Rzepa Marta , Kisielewski Michał , Wojewoda Tomasz , Wysocki Wojciech M.
Published: March 2023

To date, there have been multiple studies and clinical guidelines or recommendations for complex management of melanoma patients. The most controversial subjects included the frequency of follow-up. This study provides a coherent and comprehensive comparison of conventional vs. reduced-frequency follow-up strategies for early-stage melanoma patients. The value of our study consists in the precise analysis of a large collection of articles and the selection of the most valuable works in relation to the topic according to rigorous criteria, which allowed for a thorough study of the topic. The search strategy was implemented using multiple databases. The inclusion criteria were randomized clinical trial or cohort studies that compared the outcomes of a conventional follow-up schedule versus a reduced-frequency follow-up schedule for patients diagnosed with melanoma. In this study, authors analyzed recurrence and 3-year survival. Meta-analysis of outcomes presented by Deckers et al. and Moncrieff et. al. did not reveal a significant difference favoring one of the groups (OR 1.14; 95%CI: 0.65–2.00; p = 0.64). The meta-analysis of 3-year overall survival included two studies. The statistical analysis showed no significant difference in favor of the conventional follow-up group. (OR 1.10; 95%CI: 0.57–2.11; p = 0.79). Our meta-analysis shows that there is no advantage in a conventional follow-up regimen over a reduced-frequency regimen in early-stage melanoma patients.
Community Composition and Antibiotic Resistance of Tap Water Bacteria Retained on Filtration Membranes
Authors: Wolf-Baca Mirela , Siedlecka Agata
Published: March 2023

Community composition and antibiotic resistance of tap water bacteria are still not known well enough. This study fills the gaps in knowledge regarding this matter. To provide representativeness of collected samples, tap water bacteria were concentrated from huge amounts of water, using filtration membranes monthly during the continuous, semi-annual study, covering winter and spring seasons. Biomass was investigated both using a culture-based method (for total and antibiotic-resistant culturable bacteria counts) and metagenomic DNA sequencing (for taxonomic identification of bacteria). The results showed that bacteria resistant to ceftazidime were the most prevalent among the studied resistance phenotypes, whereas bacteria resistant to amoxicillin, ciprofloxacin, and tetracycline were scarce. On average, 20,059 and 26,200 CFU/mL per month was counted in the winter and spring season, respectively, whereas in terms of antibiotic-resistant bacteria, average counts were 14,270 and 9435 CFU/mL per month in the winter and spring season, respectively. In terms of bacterial community composition, Cyanobacteria, Proteobacteria and Actinobacteria were the most abundant phyla, reaching up to 77.71%, 74.40% and 21.85%, respectively, which is supported by previous studies conducted on the same water supply network and other drinking water distribution systems across the world. No season-dependent variations were observed for culturable antibiotic-resistant bacteria or bacterial community composition. The prevalence of culturable antibiotic-resistant bacteria was not correlated with any of the identified taxa.
Changes in the Concentration and Profile of Free Fatty Acids during the Ripening of a Spanish Blue-Veined Cheese Made from Raw and Pasteurized Cow and Goat Milk
Authors: Diezhandino Isabel , Fernández Domingo , Abarquero Daniel , Prieto Bernardo , Renes Erica , Fresno José María , Tornadijo María Eugenia
Published: March 2023

Blue-veined cheeses in general undergo a pronounced lipolysis. The aim of this work was to determine the evolution of free fatty acids (FFA) in Valdeón cheese during ripening, comparing cheeses made from raw and pasteurized milk. The effect of season on the evolution of FFA in pasteurized milk cheeses was also studied. Cheeses made with raw milk showed the highest concentrations of FFA, reaching values of 23,081.9 mg 100 g−1 dry matter at the end of ripening, compared to the values of cheeses made with pasteurized milk (7327.1 mg 100 g−1 dry matter), in both cases with a predominance of oleic and palmitic acids. However, pasteurization did not affect the FFA profile of the cheeses. Regarding the cheeses made with pasteurized milk in different seasons, the highest FFA concentration was reached in cheeses made in summer after 30 days of ripening. The season also influenced the FFA profile and thus the concentration of short-, medium- and long-chain fatty acids in relation to total FFA. There were no significant differences in sensory analysis between cheeses made from raw and pasteurized milk.
Wideband Waveform Design for Distributed Precision Jamming
Authors: Zhang Kedi , Zhou Qingsong , Wang Jing , Huang Chao , Yang Zhongping , Zhang Jianyun
Published: March 2023

Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical application scenarios. The task objective of DIPJ is to design jamming waveforms so that the jamming energy generated by a set of ultra-sparse array transmitters can be focused in the jamming region of interest while being suppressed in other specific protected regions, which can be viewed as a distributed multiple-input and multiple-output system waveform design problem under a three-dimensional scenario. This paper extends the jamming signal model in DIPJ from narrowband to wideband based on previous work to address a broader range of jamming tasks. After extending the model to wideband signals, a method based on the traditional maximum total energy difference optimization objective is first given for comparison. A wideband jamming waveform design method based on the majorization minimization algorithm with the desired power spectrum matching as the optimization target is designed for the problem that the maximum energy difference method cannot focus energy well in the jamming region. The simulation results show that the presented method can make the jamming energy well concentrated in the target region and evenly distributed over the whole bandwidth, while the energy in the whole bandwidth is suppressed in the protected region.
Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution
Authors: Li Shimiao , Yin Pengzhi , Zhou Zehao , Tang Jianheng , Huang Duan , Zhang Ling
Published: March 2023

There exist various attack strategies in continuous-variable quantum key distribution (CVQKD) system in practice. Due to the powerful information processing ability of neural networks, they are applied to the detection and classification of attack strategies in CVQKD systems. However, neural networks are vulnerable to adversarial attacks, resulting in the CVQKD system using neural networks also having security risks. To solve this problem, we propose a defense scheme for the CVQKD system. We first perform low-rank dimensionality reduction on the CVQKD system data through regularized self-representation-locality preserving projects (RSR-LPP) to filter out some adversarial disturbances, and then perform sparse coding reconstruction through dictionary learning to add data details and filter residual adversarial disturbances. We test the proposed defense algorithm in the CVQKD system. The results indicate that our proposed scheme has a good monitoring and alarm effect on CVQKD adversarial disturbances and has a better effect than other compared defense algorithms.
Investigation of Data Pre-Processing Algorithms for Power Curve Modeling of Wind Turbines Based on ECC
Authors: Zuo Chengming , Dai Juchuan , Li Guo , Li Mimi , Zhang Fan
Published: March 2023

Data pre-processing is the first step of using SCADA data to study the performance of wind turbines. However, there is a lack of knowledge of how to obtain more effective data pre-processing algorithms. This paper fully explores multiple data pre-processing algorithms for power curve modeling. A three-stage data processing mode is proposed, namely, preliminary data filtering and compensation (Stage I), secondary data filtering (Stage II), and single-valued processing (Stage Ⅲ). Different data processing algorithms are selected at different stages and are finally merged into nine data processing algorithms. A novel evaluation method based on energy characteristic consistency (ECC) is proposed to evaluate the reliability of various algorithms. The influence of sliding mode and benchmark of Binning on data processing has been fully investigated through indicators. Four wind turbines are selected to verify the advantages and disadvantages of the nine data processing methods. The result shows that at the same wind speed, the rotational speed and power values obtained by MLE (maximum likelihood estimation) are relatively high among the three single-valued methods. Among the three outlier filtering methods, the power value obtained by KDE (kernel density estimation) is relatively large. In general, KDE-LSM (least square method) has good performance in general. The sum of four evaluating index values obtained by KDE-LSM from four wind turbines is the smallest.
A Novel Solid-State Transformer with Improved Flyback Converter Equipped with Quasi Z-Source Converter for Medium-Voltage Utility Grid
Authors: Cuma Mehmet Uğraş , Anvari Alireze Deljavan , Savrun Murat Mustafa
Published: March 2023

This paper introduces an enhanced solid-state transformer topology for a medium-voltage (MV) utility grid. The main objective of the current study is to develop an improved flyback converter equipped with a quasi z-source converter (qZ_iFC) having a high-voltage conversion capability for the integration of low-input voltage to the DC link of an MV modular multilevel converter (MMC). The system integrates the quasi z-source and flyback converters by operating their existing switches complementary. Furthermore, the high-gain qZ_iFC allows for a reduction in the rated voltage of the input, as well as the use of a high-frequency transformer (HFT) with a unity turns ratio that provides galvanic isolation between the input and the output ports. Thus, using an HFT just for isolation purposes without voltage gain improves the system efficiency. In addition, a controller for (i) qZ_iFC which is regulating complementary switches to prevent the shoot-through current from reaching the HFT resulting in saturation; and (ii) a controller for MMC to produce MV-level AC voltage for loads are suggested. The performance of the proposed system was evaluated for several operating conditions. Results show that the proposed SST smoothly performs the power flow between the ports during steady-state and transient conditions. The power flow capabilities and efficiency values validate the viability and effectiveness of the proposed system.
One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods
Authors: Huang Chao-Ming , Chen Shin-Ju , Yang Sung-Pei , Chen Hsin-Jen
Published: March 2023

This paper proposes an optimal ensemble method for one-day-ahead hourly wind power forecasting. The ensemble forecasting method is the most common method of meteorological forecasting. Several different forecasting models are combined to increase forecasting accuracy. The proposed optimal ensemble method has three stages. The first stage uses the k-means method to classify wind power generation data into five distinct categories. In the second stage, five single prediction models, including a K-nearest neighbors (KNN) model, a recurrent neural network (RNN) model, a long short-term memory (LSTM) model, a support vector regression (SVR) model, and a random forest regression (RFR) model, are used to determine five categories of wind power data to generate a preliminary forecast. The final stage uses an optimal ensemble forecasting method for one-day-ahead hourly forecasting. This stage uses swarm-based intelligence (SBI) algorithms, including the particle swarm optimization (PSO), the salp swarm algorithm (SSA) and the whale optimization algorithm (WOA) to optimize the weight distribution for each single model. The final predicted value is the weighted sum of the integral for each individual model. The proposed method is applied to a 3.6 MW wind power generation system that is located in Changhua, Taiwan. The results show that the proposed optimal ensemble model gives more accurate forecasts than the single prediction models. When comparing to the other ensemble methods such as the least absolute shrinkage and selection operator (LASSO) and ridge regression methods, the proposed SBI algorithm also allows more accurate prediction.
Advanced Torque Ripple Minimization of Synchronous Reluctance Machine for Electric Vehicle Application
Authors: Aladetola Olaoluwa Demola , Ouari Mondher , Saadi Yakoub , Mesbahi Tedjani , Boukhnifer Moussa , Adjallah Kondo Hloindo
Published: March 2023

The electric machine and the control system determine the performance of the electric vehicle drivetrain. Unlike rare-earth magnet machines such as permanent magnet synchronous machines (PMSMs), synchronous reluctance machines(SynRMs) are manufactured without permanent magnets. This allows them to be used as an alternative to rare-earth magnet machines. However, one of the main drawbacks of this machine is its high torque ripple, which generates significant acoustic noise. The most typical method for reducing this torque ripple is to employ an optimized structural design or a customized control technique. The objective of this paper is the use of a control approach to minimize the torque ripple effects issue in the SynRM. This work is performed in two steps: Initially, the reference current calculation bloc is modified to reduce the torque ripple of the machine. A method for calculating the optimal reference currents based on the stator joule loss is proposed. The proposed method is compared to two methods used in the literature, the FOC and MTPA methods. A comparative study between the three methods based on the torque ripple rate shows that the proposed method allows a significant reduction in the torque ripple. The second contribution to the minimization of the torque ripple is to propose a sliding mode control. This control suffers from the phenomenon of “Chattering” which affects the torque ripple. To solve this problem, a second-order sliding mode control is proposed. A comparative study between the different approaches shows that the second-order sliding mode provides the lowest torque ripple rate of the machine.
Techno-Economic Analysis of the Modernization Options of a Gas Turbine Power Plant Using Aspen HYSYS
Authors: Umyshev Dias Raybekovich , Osipov Eduard Vladislavovich , Kibarin Andrey Anatolievich , Korobkov Maxim Sergeyevich , Khodanova Tatyana Viktorovna , Duisenbek Zhansaya Serikkyzy
Published: March 2023

Currently, 90% of Kazakhstan’s oil is situated in 15 oil and gas fields where simple cycle gas turbines are utilized for electricity generation. The need for developing techniques to enhance the efficiency and eco-friendliness of fuel consumption in Kazakhstan’s oil fields is imperative. In this article, methods for improving the energy efficiency of a simple gas turbine power plant functioning in an oil field are discussed, with consideration given to the impact of ambient temperature and specific environmental constraints, such as water scarcity and high temperatures. Two schemes to increase efficiency are evaluated: the first involves the utilization of a waste heat boiler for steam production intended for technological purposes, while the second involves electricity generation through a combination of a waste heat boiler and a steam turbine. Models based on Aspen HYSYS were formulated, with actual gas turbine power plant operation taken into account. Analysis indicated that a waste heat boiler scheme could generate up to 350 t/h of steam, completely replacing power boilers. Im plementation of the combined cycle power plant (CCPP) system resulted in the production of up to 262.42 MW of electricity. Environmental analyses demonstrated that both schemes exhibit comparable specific emissions in terms of power generation, with 0.56 kgCO2/kWh for HRSG and 0.53 kgCO2/kWh for CCPP. Technological, environmental, and economic analyses were conducted to determine the most promising technology, considering the specifics of the oil fields in Kazakhstan. Based on the payback period for HRSG (4 years) and CCPP (7 years) options, it was deduced that the former is the most favorable for implementation
Current Status and Challenges for Forest Commons (Iriai Forest) Management in Japan: A Focus on Forest Producers’ Cooperatives and Authorized Neighborhood Associations
Authors: Ota Masahiko
Published: March 2023

Iriai forests are an example of communal forest management in Japan. Local institutions have never been static in governing iriai forests and the external environments of iriai forests have changed significantly over time. This study examines the management challenges of forest producers’ cooperatives (FPCs) and authorized neighborhood associations (ANAs) as the two most important contemporary forms of iriai forest management. Data from nine FPCs and three ANAs in the Fukuoka and Saga prefectures of Kyushu Island are used. Surveyed topics included basic information about FPCs and ANAs, recent management activities, financial conditions, and member perceptions of forest management. Some FPCs suffered from disadvantageous forestry circumstances, including low timber prices, decreased number of members, and tax burdens; at the same time, some FPCs greatly profited from non-forestry income or assets, e.g., by leasing or selling forestland. In most cases, basic forest management operations had been conducted by both FPCs and ANAs, and members had maintained attachment to and responsibility for iriai forests and a sense of public contribution. Policy recommendations include making legal settings and administrative supports more compatible with contemporary realities, providing greater financial support for management activities, and pursuing multi-level governance to open the commons to wider society.
A 4500-Year Tree-Ring Record of Extreme Climatic Events on the Yamal Peninsula
Authors: Hantemirov Rashit , Gorlanova Liudmila , Bessonova Varvara , Hamzin Ildar , Kukarskih Vladimir
Published: March 2023

Based on the analysis of the frequency of anomalous anatomical structures in the wood of Siberian larch and Siberian spruce (frost rings, light rings, and false rings, as well as missing and narrow rings), we reconstructed a timeline of climatic extremes (summer frosts, sharp multiday decreases in air temperature during the growing season, and low average summer temperatures) in Yamal (Western Siberia) over the last 4500 years. In total, 229 years were determined to have experienced extreme events. The most significant temperature extremes were recorded in 2053, 1935, 1647, 1626, 1553, 1538, 1410, 1401, 982, 919, 883 BCE, 143, 404, 543, 640, 1209, 1440, 1453, 1466, 1481, 1601 and 1818 CE. These dates with extrema observed in Yamal corrobarated with tree ring data from other regions and revealed several coincidences. That is, in these years, the observed extremes appeared to have been on a global rather than a regional scale. Moreover, these dates coincided with traces of large volcanic eruptions found in ice cores from Greenland and Antarctica, dated to approximately the same years. Therefore, the cause of the extreme summer cooling on a global scale, in most cases, can be linked to large volcanic eruptions.
Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods
Authors: Lou Fengfei , Dong Sujun , Zhu Keyong , Chen Xiaona , Ma Yinwei
Published: March 2023

Due to the extremely high porosity and extremely low density of nano-porous thermal insulation materials, the characteristic size of the pores inside the materials and the characteristic size of the solid skeleton structure are on the nanometer scale, which leads to the obvious nanoscale effect of the heat transfer law inside the aerogel materials. Therefore, the nanoscale heat transfer characteristics inside the aerogel materials and the existing mathematical models for calculating the thermal conductivity of various heat transfer modes at the nanoscale need to be summarized in detail. Moreover, in order to verify the accuracy of the thermal conductivity calculation model of aerogel nano-porous materials, correct experimental data are required to modify the model. Because the medium is involved in radiation heat transfer, the existing test methods have a large error, which brings great difficulties to the design of nano-porous materials. In this paper, the heat transfer mechanism, characterization methods, and test methods of thermal conductivity of nano-porous materials are summarized and discussed. The main contents of this review are as follows. The first part introduces the structural characteristics and specific application environment of aerogel. In the second part, the characteristics of nanoscale heat transfer of aerogel insulation materials are analyzed. In the third part, the characterization methods of thermal conductivity of aerogel insulation materials are summarized. In the fourth part, the test methods of thermal conductivity of aerogel insulation materials are summarized. The fifth part gives a brief conclusion and prospect.
A Biallelic Truncating Variant in the TPR Domain of GEMIN5 Associated with Intellectual Disability and Cerebral Atrophy
Authors: Ibrahim Nazia , Naz Shagufta , Mattioli Francesca , Guex Nicolas , Sharif Saima , Iqbal Afia , Ansar Muhammad , Reymond Alexandre
Published: March 2023

GEMIN5 is a multifunctional RNA-binding protein required for the assembly of survival motor neurons. Several bi-allelic truncating and missense variants in this gene are reported to cause a neurodevelopmental disorder characterized by cerebellar atrophy, intellectual disability (ID), and motor dysfunction. Whole exome sequencing of a Pakistani consanguineous family with three brothers affected by ID, cerebral atrophy, mobility, and speech impairment revealed a novel homozygous 3bp-deletion NM_015465.5:c.3162_3164del that leads to the loss of NM_015465.5 (NP_056280.2):p. (Asp1054_Ala1055delinsGlu) amino acid in one of the α-helixes of the tetratricopeptide repeats of GEMIN5. In silico 3D representations of the GEMIN5 dimerization domain show that this variant likely affects the orientation of the downstream sidechains out of the helix axis, which would affect the packing with neighboring helices. The phenotype of all affected siblings overlaps well with previously reported patients, suggesting that NM_015465.5: c.3162_3164del (NP_056280.2):p. (Asp1054_Ala1055delinsGlu) is a novel GEMIN5 pathogenic variant. Overall, our data expands the molecular and clinical phenotype of the recently described neurodevelopmental disorder with cerebellar atrophy and motor dysfunction (NEDCAM) syndrome.
Folate–Methionine Cycle Disruptions in ASD Patients and Possible Interventions: A Systematic Review
Authors: Roufael Melissa , Bitar Tania , Sacre Yonna , Andres Christian , Hleihel Walid
Published: March 2023

Autism Spectrum Disorder (ASD) has become a major public health concern due to its rapidly rising incidence over the past few years. Disturbances in folate or methionine metabolism have been identified in many individuals with ASD, suggesting that the folate–methionine cycle may play an essential role in the pathogenesis of autism. Thus, changes in metabolite concentrations associated with this cycle could be used as potential biomarkers and therapeutic targets for ASD. The aim of this systematic review is to elucidate the perturbations of this cycle and the possible interventions that may be proposed in this context. Several studies have shown that high levels of homocysteine and low levels of vitamins B12 and folate are associated with ASD. These changes in serum metabolites are influenced by poor diet. In fact, children with ASD tend to eat selectively, which could compromise the quality of their diet and result in nutrient deficiencies. Moreover, these disturbances may also be caused by genetic predispositions such as polymorphisms of the MTHFR gene. Few studies have demonstrated the beneficial effects of the use of nutritional supplements in treating ASD children. Therefore, larger, well-structured studies are recommended to examine the impact of vitamin B12 and folate supplementation on homocysteine levels.
Mitogenomic and Phylogenetic Analysis of the Entomopathogenic Fungus Ophiocordyceps lanpingensis and Comparative Analysis with Other Ophiocordyceps Species
Authors: Bibi Shabana , Wang Dong , Wang Yuanbing , Mustafa Ghazala , Yu Hong
Published: March 2023

Ophiocordyceps lanpingensis (O. lanpingensis) belongs to the genus Ophiocordyceps, which is often found in Yunnan Province, China. This species is pharmacologically important for the treatment of renal disorders induced by oxidative stress and an inadequate immune response. In the present study, the mitogenome of O. lanpingensis was determined to be a circular molecule 117,560 bp in length, and to have 31% G + C content and 69% A + T content. This mitogenome comprised 82% of the whole genome that codes for significant genes. The protein-coding regions of the O. lanpingensis mitogenome, containing 24 protein-coding genes, were associated with respiratory chain complexes, such as 3 ATP-synthase complex F0 subunits (atp6, atp8, and atp9), 2 complex IV subunits/cytochrome c oxidases (cox2 and cox3), 1 complex III subunit (cob), 4 electron transport complex I subunits/NADH dehydrogenase complex subunits (nad1, nad4, nad5, and nad6), 2 ribosomal RNAs (rns, rnl), and 11 hypothetical/predicted proteins, i.e., orf609, orf495, orf815, orf47, orf150, orf147, orf292, orf127, orf349, orf452, and orf100. It was noted that all genes were positioned on the same strand. Further, 13 mitochondrial genes with respiratory chain complexes, which presented maximum similarity with other fungal species of Ophiocordyceps, were investigated. O. lanpingensis was compared with previously sequenced species within Ophiocordycepitaceae. Comparative analysis indicated that O. lanpingensis was more closely related to O. sinensis, which is one of the most remarkable and expensive herbs due to its limited availability and the fact that it is difficult to culture. Therefore, O. lanpingensis is an important medicinal resource that can be effectively used for medicinal purposes. More extensive metabolomics research is recommended for O. lanpingensis.
Two oncomiRs, miR-182-5p and miR-103a-3p, Involved in Intravenous Leiomyomatosis
Authors: Barnaś Edyta , Skręt-Magierło Joanna Ewa , Paszek Sylwia , Kaznowska Ewa , Potocka Natalia , Skręt Andrzej , Sakowicz Agata , Zawlik Izabela
Published: March 2023

Leiomyomas, also referred to as fibroids, belong to the most common type of benign tumors developing in the myometrium of the uterus. Intravenous leiomyomatosis (IVL) tends to be regarded as a rare type of uterine leiomyoma. IVL tumors are characterized by muscle cell masses developing within the uterine and extrauterine venous system. The underlying mechanism responsible for the proliferation of these lesions is still unknown. The aim of the study was to investigate the expression of the two epigenetic factors, oncomiRs miR-182-5p and miR-103a-3p, in intravenous leiomyomatosis. This study was divided into two stages: initially, miR-182-5p and miR-103a-3p expression was assessed in samples coming from intravenous leiomyomatosis localized in myometrium (group I, n = 6), intravenous leiomyomatosis beyond the uterus (group II; n = 5), and the control group, i.e., intramural leiomyomas (group III; n = 9). The expression level of miR-182-5p was significantly higher in samples coming from intravenous leiomyomatosis (group I and group II) as compared to the control group (p = 0.029 and p = 0.024, respectively). In the second part of the study, the expression levels of the studied oncomiRs were compared between seven samples delivered from one woman during a four-year observation. The long-term follow-up of one patient demonstrated significantly elevated levels of both studied oncomiRs in intravenous leiomyomatosis in comparison to intramural leiomyoma samples.
Telehealth Readiness of Healthcare Providers during COVID-19 Pandemic in Saudi Arabia
Authors: Moussa Fatchima Laouali , Moussa Mahaman L. , Alharbi Homood A. , Omer Tagwa , Sofiany Hussain Ahmad , Oqdi Yahia Ahmad , Alblowi Bandar Hammad , Alblowi Sally Hammad
Published: March 2023

Objective: This study aimed to assess and explore the telehealth readiness of healthcare providers in Saudi Arabia. Methods: This descriptive cross-sectional survey was conducted in a government healthcare facility in Saudi Arabia between August and October 2020. The Telehealth Readiness Assessment (TRA) tool was used. Results: A total of 372 healthcare providers participated in this study. Their mean age was 35.5 years (SD = 10.46). The majority of respondents were female (65.6%), nurses (68.0%), married (60.2%), and non-Saudi nationals (64.2%). The analysis shows that healthcare providers generally had moderate-to-high telehealth readiness. Of the five domains, financial contributions had the lowest rating among nurses and physicians, 63.4% and 66.1%, respectively. Gender (β = 7.64, p = 0.001), years of experience in the organization (β = 11.75, p = 0.001), and years of experience in the profession (β = 10.04, p = 0.023) predicted the telehealth readiness of healthcare providers. Conclusion: The telehealth readiness of healthcare providers in Saudi Arabia showed moderate to high levels. The COVID-19 pandemic poses a catastrophic threat to both patients and healthcare providers. Assessing telehealth readiness should include both patients and healthcare provider factors. A better understanding of the factors of organizational readiness, particularly healthcare providers, could help avoid costly implementation errors.
Assessing Service Quality Using SERVQUAL Model: An Empirical Study on Some Private Universities in Bangladesh
Authors: Hoque Umma Salma , Akhter Nazmoon , Absar Nurul , Khandaker Mayeen Uddin , Al-Mamun Abdullah
Published: March 2023

The increased competitive academic environment pushes higher institutions to improve their service quality for meeting the market demands. It is thus necessary to assess the factors that satisfy students and make them loyal to the university. This study has focused on assessing service quality, using the SERVQUAL Model to measure students’ satisfaction with private universities in Bangladesh. In the study, the primary data collection method through a questionnaire with the 5-point Likert scale was adopted to collect data from 229 students who are currently studying in different private universities in Chattogram, Bangladesh. Structural equation modeling (SEM) has been performed to analyze the data through the AMOS 22 statistical package. The findings report that a comfortable lecture room under the tangible dimension, providing service on time under the reliability dimension, the capacity of administrative staff to solve immediate problems under the responsiveness dimension, proficient lecturers for teaching and research under the assurance dimension, and focus of university management on students under the empathy dimension have a great influence on student satisfaction. The study concludes that managers and authorities of private universities must focus on ensuring better service quality as student satisfaction largely affects the sustainability and recurrence development of the institutions.
Physiochemical Changes of European Pear cv. Conference and Asian Pear cv. Yali during Cold Storage
Authors: Híc Pavel , Kožíšková Jarmila , Omastová Petra , Balík Josef , Goliáš Jan , Horák Miroslav
Published: March 2023

This study evaluated the physiochemical changes of one commercial European pear variety ‘Conference’ and one Asian pear variety ‘Yali’ during 60 days of storage at 1 °C. Content of organic acids, ethylene and formation of CO2 were determined using HPLC/UV-VIS and GC/FID and TCD detectors, respectively. This study presents an evaluation of the influence of the above-mentioned factors and long-term storage on quality parameters, including the antioxidant capacity of an important European and Asian pear cultivar. There was a significant effect of temperature on respiration rate in both varieties. Development of the respiration intensity had a similar course in European and Asian pears. The high values of CO2 production at the beginning of storage for the variety ‘Conference’ (14.08 mg·kg−1·h−1) and ‘Yali’ (23.37 mg·kg−1·h−1) were followed by a sharp decline of 80% and 83% at later stages of storage at 1 °C, respectively. Ethylene formation in fruit increased with storage time and was the highest after 60 days in cold storage, especially in ‘Yali’ (7.14 µL·kg−1·h−1). The results show the relation between ethylene formation and ripening-related fruit parameters. The ‘Yali’ variety showed negligible changes in soluble solids content and flesh firmness during storage ranging from 0.35 to 0.60 MPa. The most represented sugar determined enzymatically was fructose and malic acid was the dominant organic acid in pear fruit. Antioxidant activity determined using the FRAP and DPPH methods did not change significantly during 60 days of storage.
Interdisciplinary Multimodal Pain Rehabilitation in Patients with Chronic Musculoskeletal Pain in Primary Care—A Cohort Study from the Swedish Quality Registry for Pain Rehabilitation (SQRP)
Authors: Falkhamn Lukasz Mateusz , Stenberg Gunilla , Enthoven Paul , Stålnacke Britt-Marie
Published: March 2023

Chronic pain is a major public health issue. Mounting evidence suggests that interdisciplinary multimodal pain rehabilitation programs (IMMRPs) performed in specialist pain care are an effective treatment for patients with chronic pain, but the effects of such treatment if performed in primary care settings have been less studied. The aims of this pragmatic study were to (1) describe characteristics of patients participating in IMMRPs in primary care; (2) examine whether IMMRPs in primary care improve pain, disability, quality of life, and sick leave 1-year post discharge in patients with chronic pain; and (3) investigate if outcomes differ between women and men. Data from 744 (645 women and 99 men, age range 18–65 years) patients with non-malignant chronic pain included in the Swedish Quality Registry for Pain Rehabilitation Primary Care were used to describe patient characteristics and changes in health and sick leave. At 1-year follow-up, the patients had improved significantly (p < 0.01) in all health outcome measures and had reduced sick leave except in men, where no significant change was shown in physical activity level. This study indicates that MMRPs in primary care improved pain and physical and emotional health and reduced sick leave, which was maintained at the 1-year follow-up.
Major Causes of Death among Older Adults after the Great East Japan Earthquake: A Retrospective Study
Authors: Fujimaki Takako , Ohno Yuko , Tsutsui Anna , Inoue Yuta , Zha Ling , Fujii Makoto , Tajima Tetsuya , Hattori Satoshi , Sobue Tomotaka
Published: March 2023

This retrospective study investigated the 3-year impact of the Great East Japan Earthquake (GEJE) of 2011 on deaths due to neoplasm, heart disease, stroke, pneumonia, and senility among older adults in the primarily affected prefectures compared with other prefectures, previous investigations having been more limited as regards mortality causes and geographic areas. Using death certificates issued between 2006 and 2015 (n = 7,383,253), mortality rates (MRs) and risk ratios (RRs) were calculated using a linear mixed model with the log-transformed MR as the response variable. The model included interactions between the area category and each year of death from 2010 to 2013. The RRs in the interaction significantly increased to 1.13, 1.17, and 1.28 for deaths due to stroke, pneumonia, and senility, respectively, in Miyagi Prefecture in 2011, but did not significantly increase for any of the other areas affected by the GEJE. Moreover, increased RRs were not reported for any of the other years. The risk of death increased in 2011; however, this was only significant for single-year impact. In 2013, decreased RRs of pneumonia in the Miyagi and Iwate prefectures and of senility in Fukushima Prefecture were observed. Overall, we did not find evidence of strong associations between the GEJE and mortality.
Investigation of the Solubility of Elemental Sulfur (S) in Sulfur-Containing Natural Gas with Machine Learning Methods
Authors: Wang Yuchen , Luo Zhengshan , Luo Jihao , Gao Yiqiong , Kong Yulei , Wang Qingqing
Published: March 2023

Some natural gases are toxic because they contain hydrogen sulfide (H2S). The solubility pattern of elemental sulfur (S) in toxic natural gas needs to be studied for environmental protection and life safety. Some methods (e.g., experiments) may pose safety risks. Measuring sulfur solubility using a machine learning (ML) method is fast and accurate. Considering the limited experimental data on sulfur solubility, this study used consensus nested cross-validation (cnCV) to obtain more information. The global search capability and learning efficiency of random forest (RF) and weighted least squares support vector machine (WLSSVM) models were enhanced via a whale optimization–genetic algorithm (WOA-GA). Hence, the WOA-GA-RF and WOA-GA-WLSSVM models were developed to accurately predict the solubility of sulfur and reveal its variation pattern. WOA-GA-RF outperformed six other similar models (e.g., RF model) and six other published studies (e.g., the model designed by Roberts et al.). Using the generic positional oligomer importance matrix (gPOIM), this study visualized the contribution of variables affecting sulfur solubility. The results show that temperature, pressure, and H2S content all have positive effects on sulfur solubility. Sulfur solubility significantly increases when the H2S content exceeds 10%, and other conditions (temperature, pressure) remain the same.
The Impact of the Coronavirus Pandemic on the Contribution of Local Green Space and Nature Connection to Mental Health
Authors: Wicks Claire L. , Barton Jo L. , Andrews Leanne , Orbell Sheina , Sandercock Gavin , Wood Carly J.
Published: March 2023

Background: Exposure to green space and feeling connected to the natural environment have independently been associated with improved mental health outcomes. During the coronavirus pandemic, people experienced restrictions on access to the outdoors, and health data indicated a decline in mental health in the UK general population. Methods: Data available from two independent surveys conducted prior to and during the pandemic enabled a naturally occurring comparison of mental health and its correlates prior to and during the pandemic. Results: Survey responses from 877 UK residents were included in the analyses. Independent t-tests revealed significant declines in mental health scores during the pandemic. After controlling for age and gender, greater nature connection significantly predicted lower depression and stress and improved well-being. Percentage of green space did not significantly predict any mental health outcomes. Further, time point (pre- or during COVID) and the interaction of time point with green space and nature connection did not significantly predict any of the outcome measures. The findings indicate that nature connection may play an important role in promoting mental health. Strategies to improve mental health and reduce mental illness should consider the role of nature connection and the use of interventions that involve direct interaction with natural environments.
Research on Motivational Mechanisms and Pathways for Promoting Public Participation in Environmental Protection Behavior
Authors: Chen Weidong , Di Kaisheng , Cai Quanling , Li Dongli , Liu Caiping
Published: March 2023

Public participation in environmental protection is an essential component of evaluating the effectiveness of ecological and environmental protection. General awareness, social dynamics, and cognitive preferences frequently impact the protection’s impact. The aim of this study is to investigate the correlation research on the confluence of mainstream awareness, social factors, and cognitive preferences by building a theoretical model. First, this work employs partial least squares structural equation modelling (PLS-SEM). Second, using the mediation model, the research describes and examines the factors that motivate public involvement in ecological and environmental conservation. Third, the research summarizes the suggested path countermeasures to offer practical advice and helpful ecological and environmental protection solutions. The findings demonstrate that mainstream policy leadership substantially impacts environmental conservation. Leadership in policy matters restricts the group’s natural awareness of social factors. The subjective quality and competence basis in cognitive preferences are significantly influenced by policy leadership. Policy leadership significantly influences the effectiveness of environmental protection through the mediating factor of cognitive preferences. The ability base has a considerable mediating effect on cognitive preferences.
Clinical Outcome of Arthroscopic Repair for Isolated Meniscus Tear in Athletes
Authors: Vrgoč Goran , Vuletić Filip , Matolić Grgur , Ivković Alan , Hudetz Damir , Bulat Stjepan , Bukvić Frane , Janković Saša
Published: March 2023

Increased knowledge of the long-term destructive consequences of meniscectomy has created a shift towards operative repair of isolated meniscus lesions. However, in the literature the results of isolated meniscal repair in athletes currently remain underreported. Our objective was to investigate the clinical and functional outcomes as well as survival and return to sport in patients who underwent meniscal repair after isolated meniscal tear, with a focus on athletes (both professional and recreational) in the study population. This retrospective study included 52 athletes who underwent knee surgery for isolated meniscal tear between 2014 and 2020. Patients with concomitant ligamentous and/or chondral injury were not included in this study. The mean age of the patients was 25.5 years (ranging from 12 to 57 years). The mean follow-up period of all patients was 33.3 months (ranging 10 to 80 months). The mean purpose of the study was to report the return to sport. The International Knee Documentation Committee rating (IKDC), Lysholm score, the Knee Osteoarthritis Outcome Score (KOOS) and Tegner activity level were determined at the follow-up. Failure was defined as re-operation with meniscectomy or revision meniscal repair. In total, 44 out of 52 patients (85%) returned to their previous sports activities. At follow-up, the mean Lysholm score was 90, representing a good to excellent result. Assessment of KOOS (mean value 88.8) and IKDC (mean value 89) scores also showed good to excellent results. A mean level of Tegner scale was 6.2, indicating a relatively high level of sports participation. Failure was encountered in 8 out of 52 knees (15%). Therefore, isolated meniscal repair resulted in good to excellent knee function and most athletes can return to their previous level of sports participation.
A Cross-Sectional Analysis of the Nicotine Metabolite Ratio and Its Association with Sociodemographic and Smoking Characteristics among People with HIV Who Smoke in South Africa
Authors: Keke Chukwudi , Wilson Zane , Lebina Limakatso , Motlhaoleng Katlego , Abrams David , Variava Ebrahim , Gupte Nikhil , Niaura Raymond , Martinson Neil , Golub Jonathan E. , Elf Jessica L.
Published: March 2023

The nicotine metabolite ratio (NMR) is associated with race/ethnicity but has not been evaluated among smokers in the African region. We conducted a cross-sectional analysis of baseline data from a large randomized, controlled trial for smoking cessation among people with HIV (PWH) in South Africa. Urine samples were analyzed for the NMR and evaluated as a binary variable using a cutoff value of the fourth quartile to determine the fastest metabolizers. The median NMR was 0.31 (IQR: 0.31, 0.32; range: 0.29, 0.57); the cut-point for fast metabolizers was ≥0.3174 ng/mL. A high NMR was not associated with the number of cigarettes per day (OR = 1.10, 95% CI: 0.71, 1.70, p = 0.66) but was associated with 40% lower odds of a quit attempt in the past year (OR = 0.69; 95% CI: 0.44, 1.07, p = 0.09) and alcohol use (OR = 0.59, 95% CI: 0.32, 1.06, p = 0.07). No association was seen with marijuana or HIV clinical characteristics. As we found only minimal variability in the NMR and minimal associations with intensity of smoking, NMR may be of limited clinical value in this population, although it may inform which individuals are less likely to make a quit attempt.