bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of land cover change on the carbon stock of moist afromontane forests in the Majang Forest Biosphere Reserve
Authors: Tadese Semegnew , Soromessa Teshome , Aneseye Abreham Berta , Gebeyehu Getaneh , Noszczyk Tomasz , Kindu Mengistie 
Published: December 2023

Abstract
Backgorund
Forest plays an important role in the global carbon cycle by sequestering carbon dioxide and thereby mitigating climate change. In this study, an attempt was made to investigate the effects of land use/land cover (LULC) change (1989–2017) on carbon stock and its economic values in tropical moist Afromontane forests of the Majang Forest Biosphere Reserve (MFBR), south-west Ethiopia. Systematic sampling was conducted to collect biomass and soil data from 140 plots in MFBR. The soil data were collected from grassland and farmland. InVEST modelling was employed to investigate the spatial and temporal distribution of carbon stocks. Global Voluntary Market Price (GVMP) and Tropical Economics of Ecosystems and Biodiversity (TEEB) analysis was performed to estimate economic values (EV) of carbon stock dynamics. Correlation and regression analyses were also employed to identify the relationship between environmental and anthropogenic impacts on carbon stocks.

Results
The results indicated that the above-ground carbon and soil organic carbon stocks were higher than the other remaining carbon pools in MFBR. The mean carbon stock (32.59 M tonne) in 2017 was lower than in 1989 (34.76 Mt) of MFBR. Similarly, the EV of carbon stock in 2017 was lower than in 1989. Elevation, slope, and harvesting index are important environmental and disturbance factors resulting in major differences in carbon stock among study sites in MFBR.

Conclusions
Therefore, the gradual reduction of carbon stocks in connection with LULC change calls for urgent attention to implement successful conservation and sustainable use of forest resources in biosphere reserves.
Development and validation of chemometric-assisted spectrophotometric models for efficient quantitation of a binary mixture of supportive treatments in COVID-19 in the presence of its toxic impurities: a comparative study for eco-friendly assessment
Authors: Abd El-Hadi Heidi R. , Eissa Maya S. , Zaazaa Hala E. , Eltanany Basma M. 
Published: December 2023

AbstractThe use of sustainable solvents has increased significantly in recent years due to advancements in green analytical methods. The number of impurities in the drug substance determines how safe the finished product is. Therefore, during the whole medication planning process, contaminants need to be closely watched. Using chemometric models, the concentrations of hyoscine N-butyl bromide (HYO) and paracetamol (PAR) were determined in the presence of three PAR impurities [P-nitrophenol (PNP), P-aminophenol (PAP), and P-chloroacetanilide (PCA), as well as DL-tropic acid (TRO) as a HYO impurity]. It was possible to isolate and measure these dangerous impurities. Fever and spasms associated with COVID-19 are reported to be considerably reduced when PAR and HYO are taken together. Artificial neural networks, principal component regression, multivariate curve resolution-alternating least squares, and partial least squares are the four chemometric-assisted spectrophotometric models that were created and verified. All of the proposed methods’ quantitative analytical potency was assessed using recoveries%, root mean square error of prediction, and standard error of prediction. For PAR, HYO, PNP, PCA, TRO, and PAP, respectively, the indicated approaches were used in the ranges of 4.00–8.00, 16.00–24.00, 1.00–5.00, 0.40–0.80, 4.00–12.00, and 2.00–6.00 µg/mL. They are able to get around difficulties like collinearity and spectral overlaps. After statistical testing, there was no discernible difference between the recommended methods and the published one. The degree of greenness of the established models was evaluated using three different green assessment methods. In the presence of their harmful impurities, PAR and HYO could be identified using the recommended methods.
Novel analytical method based on chemometric models applied to UV–Vis spectrophotometric data for simultaneous determination of Etoricoxib and Paracetamol in presence of Paracetamol impurities
Authors: Rahman Mona A. Abdel , Elghobashy Mohamed R. , Zaazaa Hala E. , El-Mosallamy Sally S. 
Published: December 2023

AbstractThe multivariate models that are used for spectral data analysis have many beneficial applications, and one of the important applications is the analysis of drugs and their impurities. Three Chemometrically-assisted spectrophotometric models have been proposed and validated. The proposed models are Partial Least Squares (PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS). The advanced chemometric models were applied to resolve the significantly overlapping spectra of Etoricoxib (ETO) and Paracetamol (PCM), along with impurities of PCM namely; P-aminophenol (PAP) and P-hydroxy acetophenone (PHA). The proposed models succeeded in simultaneously analyzing the mixture of ETO and PCM along with the impurities of PCM. So, the proposed techniques can be used without requiring a separation step in the analysis of pharmaceutical formulation. Moreover, no significant differences were found when the results of the suggested and published chemometric models were compared statistically with the reported HPLC method.
Efficient delivery of the lncRNA LEF1-AS1 through the antibody LAIR-1 (CD305)-modified Zn-Adenine targets articular inflammation to enhance the treatment of rheumatoid arthritis
Authors: Zhang Xiaonan , He Xiaoyu , Zhang Ming , Wu Tianyu , Liu Xiaojie , Zhang Yan , Xie Zhuobei , Liu Saisai , Xia Tian , Wang Yuanyuan , Wei Fang , Wang Hongtao , Xie Changhao 
Published: December 2023

Abstract
Backgrounds
Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease characterized by synovial hyperplasia. Maintaining a balance between the proliferation and apoptosis of rheumatoid arthritis synovial fibroblasts (RASFs) is crucial for preventing the erosion of bone and cartilage and, ultimately, mitigating the progression of RA. We found that the lncRNA LEF1-AS1 was expressed at low levels in the RASFs and inhibited their abnormal proliferation by targeting PIK3R2 protein and regulating the PI3K/AKT signal pathway through its interaction with miR-30-5p. In this study, we fabricated a nano-drug delivery system for LEF1-AS1 using Zn-Adenine nanoparticles (NPs) as a novel therapeutic strategy against RA.

Methods
The expression levels of LEF1-AS1, miR-30-5p, PIK3R2, p-PI3K, and p-AKT were detected in the primary RASFs and a human fibroblast-like synovial cell line (HFLS). Zn-Adenine nanoparticles (NPs) were functionalized with anti-CD305 antibody to construct (Zn-Adenine)@Ab. These NPs were then loaded with LEF1-AS1 to form (Zn-Adenine)@Ab@lncRNA LEF1-AS1. Finally, the (Zn-Adenine)@Ab@lncRNA LEF1-AS1 NPs were locally injected into a rat model with collagen-induced arthritis (CIA). The arthritic injuries in each group were evaluated by HE staining and other methods.

Results
LEF1-AS1 was expressed at low levels in the primary RASFs. High expression levels of LEF1-AS1 were detected in the HFLS cells, which corresponded to a significant downregulation of miR-30-5p. In addition, the expression level of PIK3R2 was significantly increased, and that of p-PI3K and p-AKT were significantly downregulated in these cells. The (Zn-Adenine)@Ab@lncRNA LEF1-AS1 NPs significantly inhibited the proliferation of RASFs and decreased the production of inflammatory cytokines (IL-1β, IL-6, TNF-α). Intra-articular injection (IAI) of (Zn-Adenine)@Ab@lncRNA LEF1-AS1 NPs significantly alleviated cartilage destruction and joint injury in the CIA-modeled rats.

Conclusions
LEF1-AS1 interacts with miR-30-5p to inhibit the abnormal proliferation of RASFs by regulating the PI3K/AKT signal pathway. The (Zn-Adenine)@Ab NPs achieved targeted delivery of the loaded LEF1-AS1 into the RASFs, which improved the cellular internalization rate and therapeutic effects. Thus, LEF1-AS1 is a potential target for the treatment of RA.
Silver nanoparticles synthesized by probiotic bacteria and antibacterial role in resistant bacteria
Authors: Khalifa Eman , Abdel Rafea Mohamed , Mustapha Nazir , Sultan Rania , Hafez ElSayed 
Published: December 2023

AbstractMany dangerous bacteria have become highly resistant to traditional antibiotics, which is a huge public health concern. This study investigated the use of silver nanoparticles biosynthesized in a culture filtrate of Lactobacillus acidophilus as antimicrobials. UV–visual spectrophotometry, Fourier-transform-infrared spectroscopy, X-ray power diffraction, and scanning electron microscopy have all validated the findings. The biosynthesized nanoparticles ranged in size from 33 to 90 nm. The cytotoxicity of the nanosilver generated was then investigated using nine 200 g BW rats separated into three groups. When compared to the control group, the treated rats showed little signs of toxicity; parameters of physiological function, including alanine transaminase, aspartate aminotransferase, albumin, creatinine, and urea were significantly different in treated and non-treated animals. Moreover, the antibacterial role of the generated silver nanoparticles was examined in multi-drug resistant (MDR) pathogenic bacteria, Proteus vulgaris, Escherichia coli, Staphylococcus aureus, and Klebsiella pneumoniae, revealing high antibacterial activity against the examined bacteria. For more demonstration of the effect of the nanosilver on transcription and gene regulation of treated and non-treated bacteria differential display droplet digital-PCR was used, and the results revealed that several genes were up- and down-regulated. Some genes were selected for DNA sequencing and according to the sequence analysis, these genes were mecA, beta-lactam, and unidentified protein genes, and these have been deposited in the GenBank Database with the following accession numbers: Staphylococcus MZ748472 and Klebsiella MZ748473. We conclude that silver nanoparticles biosynthesized by L. acidophilus are environmentally friendly and have antibacterial activities against MDR pathogenic bacteria.
The public’s intention to vote for continued use of woody biomass for energy in Denmark: a cognitive hierarchy perspective
Authors: Ugarte Lucas Paula , Lund Thomas Bøker , Gamborg Christian 
Published: December 2023

Abstract
Background
To be socially robust, renewable energy policies aiming at achieving a low-carbon society require public support. Woody biomass is an important renewable energy source. It accounts for a large share of the renewable energy consumption in several EU countries. However, its sustainability credentials are contested. Little is known as yet about how the public perceives woody biomass. This paper aims to examine the public’s intention to vote for continued use of woody biomass, and to find out whether this voting intention can be explained using the cognitive hierarchy model. This model posits that values, attitudes and beliefs predict higher order cognitions like intention. We extend the model by including an additional variable (perceived benefit). Although the model is widely used in connection with natural resource management issues, it has not yet been applied to the case of increasingly contested energy sources like woody biomass. We use Denmark as a case study given that woody biomass makes up the largest share of the renewable energy mix in the country.

Results
Results of a nationwide questionnaire-based survey of the general public show that a large proportion of Danes are undecided about their attitudes towards, and their intention to vote for, woody biomass. Structural equation modeling results show that belief in the mitigation potential of woody biomass has a significant positive effect on both attitudes and voting intention. Altruistic and egoistic values have a significant positive effect on attitudes, which in turn have a significant positive influence on voting intention. We also confirm the mediating role of attitudes.

Conclusions
Understanding public opinion-making processes can help to promote environmental decision-making that takes due account of public perceptions of the ways in which energy transitions come about. The cognitive hierarchy model is an apt framework with which to predict voting intention in the context of contested energy sources.
‘Helper’ or ‘punisher’? A qualitative study exploring staff experiences of treating severe and complex eating disorder presentations in inpatient settings
Authors: Bommen Sienna , Nicholls Helen , Billings Jo 
Published: December 2023

Abstract
Background
Eating disorders have been described as challenging to treat, with the most severe cases requiring inpatient admission. Previous studies have explored staff’s perspectives on eating disorders and service provision. However, little is currently known about how staff experience working with severe and complex eating disorder presentations in inpatient settings and how they may be impacted by their work.

Aims
This study aimed to explore the experiences of staff who contribute towards the treatment of severe and complex eating disorder presentations in inpatient settings.

Methods
Participants were recruited purposively via clinical contacts and a private hospital group in the UK. Semi-structured interviews were conducted, recorded, transcribed verbatim, and analysed guided by the principles of reflexive thematic analysis.

Results
Interviews were completed with twelve staff members, including frontline nursing staff and multidisciplinary team (MDT) staff, from both private and public specialist settings. Participants expressed uncertainty about the treatment approach for service-users with severe and complex presentations. As service-users often resisted treatment, participants felt positioned as a ‘punisher’ rather than a ‘helper’ in initial treatment stages. Many had experienced physically and emotionally impactful events at work, including violence and aggression, as well as serious incidents of self-harm and suicide attempts. Participants generally found support in their colleagues, however considered organisational support insufficient.

Conclusions
This research highlights an urgent need to consider the wellbeing of staff who works in eating disorder inpatient settings, as well as their support needs. Retention and recruitment strategies should be reviewed to reduce staff turnover and improve patient care. Further research should investigate whether specialist inpatient staff are impacted by symptoms of vicarious or direct trauma, moral injury and compassion fatigue.
The effects of cognitive behavioral therapy on health-related quality of life, anxiety, depression, illness perception, and in atrial fibrillation patients: a six-month longitudinal study
Authors: Minjie Zheng , Zhijuan Xie , Xinxin Shi , Xinzhu Bai , Shan Qu 
Published: December 2023

Abstract
Background
Atrial fibrillation (AF) often leads to an impaired Health-Related Quality of Life (HRQoL) in many patients. Moreover, psychological factors such as depression, anxiety, and illness perception have been found to significantly correlate with HRQoL. This study aims to evaluate the long-term effectiveness of Cognitive Behavioral Therapy (CBT) in enhancing HRQoL and mitigating psychological distress among AF patients.

Methods
Employing a prospective, open design with pseudo-randomization, this study encompassed pre-tests, post-treatment evaluations, and a 6-month follow-up. A total of 102 consecutive patients diagnosed with paroxysmal AF were initially enrolled. Out of these, 90 were assigned to two groups; one to receive a 10-week CBT treatment specifically focusing on anxiety, and the other to receive standard care. Outcome measures were evaluated using tools such as the Item Short Form Health Survey (SF-12), General Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), University of Toronto Atrial Fibrillation Severity Scale (AFSS), and Brief Illness Perception Questionnaire (BIPQ). These assessments were conducted at pre-treatment, post-treatment, and at the 6-month follow-up mark. We explored the effectiveness of CBT using Generalized Estimating Equations (GEE).

Results
Our analysis revealed a notable improvement in the CBT group relative to the control group. All metrics displayed consistent improvement across a 6-month duration. At the 6-month checkpoint, the CBT group exhibited a more favorable SF-12 Mental Component Score (MCS) (50.261 ± 0.758 vs. 45.208 ± 0.887, p < 0.001), reduced GAD-7 (4.150 ± 0.347 vs. 8.022 ± 0.423, p < 0.001), BIPQ (34.700 ± 0.432 vs. 38.026 ± 0.318, p < 0.001), and AFSS (9.890 ± 0.217 vs. 10.928 ± 0.218, p = 0.001) scores when compared to the TAU group. Conversely, the SF-12 PCS (44.212 ± 0.816 vs. 47.489 ± 0.960, p = 0.139) and PHQ-9 scores (8.419 ± 0.713 vs. 10.409 ± 0.741, p = 0.794) manifested no significant difference between the two groups.

Conclusion
The findings suggest that CBT is effective in improving HRQoL and reducing psychological distress among patients with AF at 6 month follow-up. This highlights the potential benefits of integrating CBT into the therapeutic regimen for AF patients.

Trial Registration
Retrospectively registered with ClinicalTrials.gov (NCT05716828). The date of registration : 5 June 2023.
Reappraisal of volcanic seismicity at the Kirishima volcano using machine learning
Authors: Yukutake Yohei , Kim Ahyi , Ohminato Takao 
Published: December 2023

AbstractVolcanic earthquakes provide essential information for evaluating volcanic activity. Because volcanic earthquakes are often characterized by swarm-like features, conventional methods using manual picking require considerable time to construct seismic catalogs. In this study, using a machine learning framework and a trained model from a volcanic earthquake catalog, we obtained a detailed picture of volcanic earthquakes during the past 12 years at the Kirishima volcano, southwestern Japan. We detected ~ 6.2 times as many earthquakes as a conventional seismic catalog and obtained a high-resolution hypocenter distribution through waveform correlation analysis. Earthquake clusters were estimated below the craters, where magmatic or phreatic eruptions occurred in recent years. Increases in seismic activities, b values, and the number low-frequency earthquakes were detected before the eruptions. The process can be conducted in real time, and monitoring volcanic earthquakes through machine learning methods contributes to understanding the changes in volcanic activity and improving eruption predictions.
Graphical Abstract
Does posterior tibial slope laterality exist? A matched cohort study between ACL‐injured and non‐injured knees
Authors: Tensho Keiji , Kumaki Daiki , Yoshida Kazushige , Shimodaira Hiroki , Horiuchi Hiroshi , Takahashi Jun 
Published: December 2023

AbstractPurposeThe purpose of this study is to examine 1) the degree and frequency of laterality in posterior tibial slope (PTS) with control and anterior cruciate ligament (ACL) injury groups and 2) the laterality of PTS between sides of injury and dominant legs in patients with primary ACL injuries.MethodsA total of 187 consecutive patients with clinically diagnosed noncontact ACL injuries and an age‐ and sex‐matched 1:1 control group were identified. PTS was measured using three different methods (aPTS = anterior PTS, mPTS = middle PTS, pPTS = posterior PTS) on a lateral knee radiograph. PTS of the left and right sides were compared between the patients in the control and ACL‐injured groups, and between the injured and non‐injured and dominant and non‐dominant legs among the patients in the ACL‐injured group. The patients with a difference in PTS of ≥ 3° in mPTS were selected. The percentages were compared between left and right between and among both groups, and between the injured and non‐injured, and non‐dominant and dominant leg, for the ACL group. Multiple regression analysis was performed to analyze the factors influencing the degree of mPTS.ResultsBoth control (Right vs Left: aPTS; 9.0 ± 2.5 vs 10.5 ± 3.0, mPTS; 6.6 ± 2.3 vs 8.1 ± 2.7, pPTS; 4.0 ± 2.4 vs 5.6 ± 2.8, respectively, p < 0.01) and ACL injury groups (Right vs Left: aPTS; 10.6 ± 3.0 vs 12.6 ± 2.9, mPTS; 7.6 ± 2.6 vs 9.5 ± 2.6, pPTS; 5.9 ± 3.0 vs 8.0 ± 3.0, respectively, p < 0.01) had a significantly greater PTS on the left than on the right side, and the ACL group had a significantly greater PTS than the control group on both the left and right sides. In the ACL group, PTS was greater on the injured and the non‐dominant leg than on the non‐injured and the dominant leg. The percentage of patients with a PTS difference of ≥ 3° was significantly greater on the left, injured, and non‐dominant leg (95.3% vs 4.7%, 73.8% vs 26.2%, 86.1% vs 13.9%, respectively, p < 0.01). Only the left leg had a significant influence on PTS in the multivariate analysis.ConclusionThere was laterality in PTS within control and ACL injury groups, and this information is of benefit for effective treatment of ACL injuries.Level of evidenceLevel III.
Differential cardiomyocyte transcriptomic remodeling during in vitro Trypanosoma cruzi infection using laboratory strains provides implications on pathogenic host responses
Authors: Candray-Medina Katherine-Sofia , Nakagama Yu , Ito Masamichi , Nakagama Shun , Tshibangu-Kabamba Evariste , Takeda Norihiko , Sugiura Yuki , Nitahara Yuko , Michimuko-Nagahara Yu , Kaku Natsuko , Onizuka Yoko , Arias Carmen-Elena , Mejia Maricela , Alas Karla , Peña Susana , Maejima Yasuhiro , Komuro Issei , Nakajima-Shimada Junko , Kido Yasutoshi 
Published: December 2023

AbstractBackgroundChagas disease can lead to life-threatening cardiac manifestations. Regional factors, including genetic characteristics of circulatingTrypanosoma cruzi (T. cruzi), have attracted attention as likely determinants of Chagas disease phenotypic expression and Chagas cardiomyopathy (CCM) progression. Our objective was to elucidate the differential transcriptomic signatures of cardiomyocytes resulting from infection with genetically discreteT. cruzistrains and explore their relationships with CCM pathogenesis and progression.MethodsHL-1 rodent cardiomyocytes were infected withT. cruzitrypomastigotes of the Colombian, Y, or Tulahuen strain. RNA was serially isolated post-infection for microarray analysis. Enrichment analyses of differentially expressed genes (fold-change ≥ 2 or ≤ 0.5) highlighted over-represented biological pathways. Intracellular levels of reactive oxygen species (ROS) were compared betweenT. cruzi-infected and non-infected HL-1 cardiomyocytes.ResultsWe found that oxidative stress-related gene ontology terms (GO terms), ‘Hypertrophy model’, ‘Apoptosis’, and ‘MAPK signaling’ pathways (all withP < 0.01) were upregulated. ‘Glutathione and one-carbon metabolism’ pathway, and ‘Cellular nitrogen compound metabolic process’ GO term (all withP < 0.001) were upregulated exclusively in the cardiomyocytes infected with the Colombian/Y strains. Mean intracellular levels of ROS were significantly higher in theT. cruzi-infected cardiomyocytes compared to the non-infected (P < 0.0001).ConclusionsThe upregulation of oxidative stress-related and hypertrophic pathways constitutes the universal hallmarks of the cardiomyocyte response elicited byT. cruziinfection. Nitrogen metabolism upregulation and glutathione metabolism imbalance may implicate a relationship between nitrosative stress and poor oxygen radicals scavenging in the unique pathophysiology of Chagas cardiomyopathy.