bluuebunny/crossref_metadata_2025_split huggingface dataset:
Economic losses and cross border effects caused by Pantanal catastrophic wildfires
Authors: Scur Mayara Camila , Centurião Daniel , Berlinck Christian Niel , Batista Eugênia Kelly Luciano , Libonati Renata , Rodrigues Julia Abrantes , Nunes André Valle , Garcia Leticia Couto , Wilson Geraldo Fernandes , Damasceno-Junior Geraldo Alves , Pereira Alexandre de Matos Martins , Anderson Liana , Ochoa-Quintero Jose Manoel , Oliveira Maxwell da Rosa , Ribeiro Danilo , Roque Fábio de Oliveira 
Published: March 2024

Abstract

The Pantanal, the Earth's largest continuous wetland, experienced severe impacts from wildfires in 2019 and, particularly, in 2020. The surge in wildfires can be attributed to several factors, including climate extremes, inadequate fire management, ineffective policymaking, as well as commercial and demographic dynamics. Understanding the economic effects of wildfires is crucial for guiding resource allocation toward prevention, firefighting efforts, and policymaking. This study aims to examine the economic losses resulting from the catastrophic wildfires in the Brazilian Pantanal region during 2019 and 2020. By utilizing new publicly available datasets and data obtained from representatives of institutions, we constructed scenarios to simulate the fire's impacts on the economic input-output system. Through the application of structural impact analysis, we were able to verify an impact in MS GDP of -0.79% and MT had an impact of -0.98% resulting from fire damages. The industries impacted most were livestock, wholesale and retail trade, electricity, gas, and other utilities, agriculture, other food products, land transportation, and slaughtering and meat products. The impact of fire per square kilometer burned reaches 10 thousand dollars in MS. Our findings reveal that the economic impact of the wildfires extends beyond the burned areas, affecting other states of Brazil, such as São Paulo and Paraná.
Association between extent of intrapulmonary spread on chest CT and false-negative results of T-SPOT.TB in pulmonary tuberculosis: a retrospective study
Authors: Sato Ryo , Takasaka Naoki , Hosaka Yusuke , Fukuda Taiki , Shinfuku Kyota , Takatsuka Makiko , Hasegawa Tsukasa , Yamada Masami , Yamanaka Yumie , Ryu Kai , Ishikawa Takeo , Araya Jun 
Published: March 2024

Abstract
Background
The T-SPOT.TB assay is widely used in adjunctive diagnosis of tuberculosis (TB). However, clinicians often encounter false-negative T-SPOT.TB results. The extent of spread in TB may influence host immune function, which can influence results of the T-SPOT.TB. However, few previous reports have investigated the association between radiologic pulmonary tuberculosis (PTB) severity and T-SPOT.TB results.
Methods
We retrospectively investigated patients with culture-confirmed pulmonary TB (PTB) at the Jikei University Daisan Hospital between September 2016 and December 2021. We aimed to clarify the association of PTB severity, according to computed tomography (CT), with false-negative results of the T-SPOT.TB test.
Results
Among 187 patients with PTB, 44 (23.5%) had false-negative T-SPOT.TB results. High rates of false-negative results were considered to be 7/16 (43.7%) with PTB spread in two lung segments (mild PTB) and 16/37 (43.2%) with PTB spread in 19 lung segments (severe PTB). Multivariate logistic regression analysis showed that lymphopenia (odds ratio [OR]: 3.29; 95% confidence interval [CI]: 1.05–10.27; P = 0.04), mild PTB (OR: 4.90; 95% CI: 1.60–14.95; P = 0.005), and severe (OR: 2.89; 95% CI: 1.15–7.26; P = 0.02) were statistically significant risk factors for false-negative results.
Conclusion
Both mild and severe extent of intrapulmonary lesions on chest CT may be associated with false-negative results of the T-SPOT.TB assay. To estimate intrapulmonary spreads of PTB in chest CT helps diagnosis for PTB with false-negative results of T-SPOT.TB.
First-Order Phase Transition of the Schwinger Model with a Quantum Computer
Authors: Angelides Takis , Naredi Pranay , Crippa Arianna , Jansen Karl , Kühn Stefan , Tavernelli Ivano , Wang Derek 
Published: March 2024

Abstract

We explore the first-order phase transition in the lattice Schwinger model in the presence of a topological θ-term by means of the variational quantum eigensolver (VQE). Using two different fermion discretizations, Wilson and staggered fermions, we develop parametric ansatz circuits suitable for both discretizations, and compare their performance by simulating classically an ideal VQE optimization in the absence of noise. The states obtained by the classical simulation are then prepared on the IBM's superconducting quantum hardware. Applying state-of-the art error-mitigation methods, we show that the electric field density and particle number, observables which reveal the phase structure of the model, can be reliably obtained from the quantum hardware. To investigate the minimum system sizes required for a continuum extrapolation, we study the continuum limit using matrix product states, and compare our results to continuum mass perturbation theory. We demonstrate that taking the additive mass renormalization into account is vital for enhancing the precision that can be obtained with smaller system sizes. Furthermore, for the observables we investigate we observe universality, and both fermion discretizations produce the same continuum limit.
RSL3 enhances ROS-mediated cell apoptosis of myelodysplastic syndrome cells through MYB/Bcl-2 signaling pathway
Authors: Zhang Ji , Liu Li , Yang Chaoying , Zhu Lin , Wang Yanyan , Zheng Fuxiang , Cao Pengfei , Han Xu , Liu Jing , Liang Long 
Published: March 2024

Abstract

Myelodysplastic syndromes (MDS) are clonal hematopoietic malignancies and seriously threatens people’s health. Current therapies include bone marrow transplantation and several hypomethylating agents. However, many elderly patients cannot benefit from bone marrow transplantation and many patients develop drug resistance to hypomethylating agents, making it urgent to explore novel therapy. RSL3 can effectively induce ferroptosis in various tumors and combination of RSL3 and hypomethylating agents is promising to treat many tumors. However, its effect in MDS was unknown. In this study, we found that RSL3 inhibited MDS cell proliferation through inducing ROS-dependent apoptosis. RSL3 inhibited Bcl-2 expression and increased caspase 3 and PARP cleavage. RNA-seq analysis revealed that MYB may be a potential target of RSL3. Rescue experiments showed that overexpression of MYB can rescue MDS cell proliferation inhibition caused by RSL3. Cellular thermal shift assay showed that RSL3 binds to MYB to exert its function. Furthermore, RSL3 inhibited tumor growth and decreased MYB and Bcl-2 expression in vivo. More importantly, RSL3 decreased the viability of bone marrow mononuclear cells (BMMCs) isolated from MDS patients, and RSL3 had a synergistic effect with DAC in MDS cells. Our studies have uncovered RSL3 as a promising compound and MYB/Bcl-2 signaling pathway as a potential target for MDS treatment.
Exploring the transcriptomic landscape of BLCA: SHTN1 as a key player in photodynamic therapy response
Authors: Shen Zhengang , Lu Jiayi , Cheng Haojin , Tang Xiaodi , Li Yunlong , Chen Li , Liu Junfeng , Hu Guangqiang , Yu Yong , Han Xingyue , Liao Hong , Zhou Shukui 
Published: March 2024

Abstract

Background
A high recurrence rate and a tendency to progress to more advanced, invasive stages characterize bladder urothelial carcinoma (BLCA), the ninth most common malignant tumor worldwide. Despite its potential, photodynamic therapy (PDT), a minimally invasive treatment, remains underutilized in BLCA management. This study focuses on identifying key genes that influence BLCA progression and prognosis, specifically in the context of PDT therapy.
Methods
According to the Cancer Genome Atlas (TCGA), we analyzed the mRNA expression profiles as well as clinical data for BLCA patients. Our approach included differential analysis, gene set intersection using GSEA databases, univariate regression analysis, and ROC curve plotting. Additionally, we validated our findings using BLCA patients' genes from the GEO dataset. To explore the role of SHTN1, we employed various methods such as GO, KEGG, GSEA, and GeneMANIA. We also examined the immunological environments associated with SHTN1 using tools like ESTIMATE, CIBERSORT, ssGSEA, and ICB to compare SHTN1 subgroups.
Results
A positive correlation was found between SHTN1 expression and clinical stage and distant metastasis of BLCA, while a negative correlation was found between SHTN1 expression and patient survival. There were a number of genes associated with tumor formation and development in the high SHTN1-expressing group. Immune characteristics assessment using ESTIMATE, CIBERSORT, and ssGSEA showed that the high SHTN1-expressing group showed improved immune characteristics.
Conclusion
According to our research, SHTN1 can both be a prognostic factor for BLCA and a therapeutic target.
Intestinal energy harvest is associated with post-bariatric surgery weight loss
Authors: Carroll Ian , Qian Yunzhi , Sorgen Alicia , Steffen Kristine , Heinberg Leslie , Reed Kylie , Malazarte Aliyah , Fodor Anthony 
Published: March 2024

Abstract

Background/Objectives: Metabolic and bariatric surgery (MBS) is the most effective treatment for severe obesity; however, a significant subset of patients does not achieve expected weight loss or have substantial weight recurrence over time. The intestinal energy harvest is a potential determinant of varying weight loss outcomes, but with limited exploration. We assess the relationships between diet, intestinal energy harvest, and weight outcomes over 24 months in individuals who have undergone MBS.
Subjects/Methods: Calorie absorption was assessed with bomb calorimetry and dietary questionnaires before and after MBS. Within a total of 67 patients, fecal energy density was measured in 67, 56, 60, 67, 44, 47 samples at 0, 1, 6, 12, 18, and 24 months, respectively. Multivariate regression was developed to identify potential weight loss predictors, and random forest algorithms were employed to forecast weight results based on intestinal energy harvest.
Results: Intestinal energy harvest enhanced the predictability of patient weight loss outcomes with random forest models. A notable difference in relative fecal energy content was observed between patients experiencing optimal and sub-optimal weight loss (p<0.01). Prior to MBS, an increased energy content in feces (indicating less energy absorption) is associated with greater weight loss after the operation. Associations between diet and energy harvest were insignificant.
Conclusion: MBS changes energy harvest capacity post-surgery. A higher relative fecal energy content (lower energy absorption) at one month correlates with better weight loss outcomes at 6M, 12M, 18M and 24M post-MBS. Findings may guide the development of diagnostic tools and treatment guidelines for patients at risk of suboptimal weight loss outcomes.
CLINICAL TRIAL REGISTRATION: The trial is registered at clinicaltrials.gov (NCT03065426).
Enhanced Homomorphic Encryption and Dual Blockchain Authentication for Securing Medical Data on the Internet of Things
Authors: velivela gopinath , k venkata rao , sala krishana rao 
Published: March 2024

Abstract

This research presents Enhanced Homomorphic Encryption (DBA-EHE) and Dual Blockchain Authentication as methods for protecting medical data on the Internet of Things (IoT). Two authentication layers make up DBA-EHE: edge-based and blockchain-based. When Internet of Things devices interface with network edges for data processing and storage, the centralized authentication layer is implemented. In order to provide decentralized authentication, safe communication, and information sharing between authenticated IoT devices and edge networks, the blockchain layer is concurrently connected to edge networks. Online medical data platforms are used to validate the proposed technique. The introduction of Enhanced Homomorphic Encryption (EHE) strengthens the security of medical data even more. To choose the best key, EHE makes use of the Homomorphic Encryption (HE) and the Coati Optimization Algorithm (COA). The suggested approach is implemented in MATLAB, and metrics such as energy consumption, end-to-end delay, processing time, encryption time, decryption time, authentication time, and communication overhead are used to assess the method's performance. A comparative study between the suggested methodology and conventional methodologies shows its higher performance.
Evaluation of genotype characteristics and drug resistance mutations in patients with chronic hepatitis B
Authors: He Changlong , Wu Xiaoli , You Zhonglan , Diao Liping , Yang Ying , Wu Liqun , Zhou Tao , Yang Xiaoying , Xu Zhousong , Zhao Xiaohong , Chen Zhongping , Lin Qing , Huang Huacui , Xu Xin , Zhang Mingjun , Wang Yonghong 
Published: March 2024

Abstract

Background: Hepatitis B is one of the public health priorities worldwide, especially in the Southwest China. Our study aimed to investigate the relationship between genotypes and drug resistance mutations among HBV patients in Southwest China, with the objective of providing guidance for clinical antiviral treatment.
Methods: A total of 4266 chronic hepatitis B (CHB) patients treated in the Qianjiang Hospital of Chongqing University were included in our study from 2014 to 2020. Both genotypes and drug-resistant mutations of CHB patients were determined by polymerase chain reaction (PCR).
Results: Genotype B and genotype C were the main HBV genotypes in our study. We found 54 mutation patterns, including 9 single-site mutations and 45 multiple-site mutations, accounting for 57.64% and 42.36%, respectively. RT204 (485/1936) was the most common single-site mutation type, and RT180+RT204 (482/1936) was the most common multiple-site mutation type. 1372 CHB patients were resistant to LAM+LDT, and 342 CHB patients were resistant to ADV. There was only 1 CHB patient who exhibited resistance to LAM+LDT+ADV+ETV, with a specific mutation pattern of RT181+RT184+RT204.
Conclusion: Our study demonstrated trends in genetic mutations and drug resistance in CHB patients to enable timely adjustment of antiviral treatment strategies.
The construction and practice of the Internet + Nursing Service model led by nursing specialist outpatient services
Authors: Zhang Lei , Tang Fengrong 
Published: March 2024

Abstract
Background: To construct an "Internet + nursing service" model dominated by nursing specialist outpatient services, and to improve the quality of nursing services by using a combination of online and offline nursing service models.
Methods： The data of this study were mainly derived from the existing literature and field survey data. Through literature analysis, the relevant theories were sorted out, and the related concepts of "Internet + nursing service", "nursing specialist outpatient clinic", and "patient medical experience and satisfaction" were defined. A total of 212 patients in nursing outpatient clinics from March 2022 to December 2023 were selected as the research subjects, and the patient experience questionnaire and patient satisfaction questionnaire were used to conduct on-site investigations.
Results：The patients rated the five dimensions of "Internet + nursing service" medical experience, and the highest score was acquisition (4.71±0.67). The lowest scoring dimension was attractiveness (4.34±0.95); The highest scores of patients' satisfaction with the nursing work of "Internet + Nursing Service" in the nursing clinic were knowledge education (4.76±0.61) and operation technology (4.75±0.56). The lowest score was for service efficiency (4.56±0.70); The overall satisfaction of the respondents with different characteristics of "Internet + nursing service" was high, and the satisfaction of the respondents aged > 45 years was higher than that of other age groups. Female satisfaction is higher than that of males; The satisfaction of patients with junior high school and below was higher than that of other education groups. Patient satisfaction with first-time visits was higher than in the other groups.
Conclusion：The "Internet + Nursing Service" model dominated by nursing specialist outpatient services can meet the personalized and diversified nursing needs of patients, and use Internet information technology to provide patients with online and offline nursing services, improve patients' medical experience and satisfaction, thereby improving the quality of nursing and promoting the development of nursing discipline.
Artificial-Noise-Aided Power-efficient Multicast Directional Modulation Scheme of UAV Communication Networks
Authors: Gao Jianbang , Guo Yuxiao , Qiu Bin 
Published: March 2024

Abstract

With the continuous progress of intelligent unmanned cluster technology, Unmanned Aerial Vehicle (UAV) have been widely used in military operations, agriculture, uran management, disater relief and other fields. However, due to the broadcast nature of wireless channels, the problem of secure transmission also needs to be urgently addressed. Since UAV are resource-constrained aerial platform, upper-layer encryption techniques can hardly play an equally effective role in UAV communication networks. In this paper, we consider the power-efficient secure beamforming scheme in multicast directional modulation (MCDM) scenario. In MCDM, all legitimate UAVs are divided into groups, and there may exist eavesdroppers (Eves) wiretapping the confidential message. We aim to address the PHY security problem for MCDM by jointly optimizing the beamforming vector and the AN projection matrix. Specifically, the power-efficient MCDM PHY secure scheme with known/unknown locations of Eves is proposed respectively. The beamforming vector per group is designed to obtain a desired standard modulation constellation at the target UAVs while distorting the received signals at other undesired receivers. Then, the power-efficient AN projection matrix optimization (PEANO) method is calculated to enhance the interference to Eves while reducing AN power consumption. Numerical results show that the proposed scheme can achieve a secure and power-efficient wireless transmission of confidential messages in MCDM.
Two are better than one: increased biofilm formation in dual-type compared to single-type communities of Cutibacterium acnes
Authors: Bjerg Cecilie Scavenius Brønnum , Poehlein Anja , Bömeke Mechthild , Himmelbach Axel , Schramm Andreas , Brüggemann Holger 
Published: March 2024

Abstract
Cutibacterium acnes is a known opportunistic pathogen in orthopedic implant-associated infections (OIAIs). The species of C. acnes comprises distinct phylotypes. Previous studies suggested that C. acnes can cause single- as well as multi-typic infections, i.e. infections caused by multiple strains of different phylotypes. However, it is not known if different C. acnes phylotypes are organized in a complex biofilm community, which could constitute a multicellular strategy to increase biofilm strength and persistency. Here, the interactions of two C. acnes strains representing phylotypes IB and II were determined in co-culture experiments. No adverse interactions between the strains were observed in liquid culture or on agar plates; instead, biofilm formation in both microtiter plates and on titanium discs was significantly increased when combining both strains. Fluorescence in situ hybridization (FISH) showed that both strains co-occurred throughout the biofilm. Transcriptome analyses revealed strain-specific alterations of gene expression in biofilm-embedded cells compared to planktonic growth, in particular affecting genes involved in carbon and amino acid metabolism. Overall, our results provide first insights into the nature of dual-type biofilms of C. acnes, suggesting that strains of different phylotypes can form biofilms together with additive effects. The findings might influence the perception of C. acnes OIAIs in terms of diagnosis and treatment.
Low-Cost Recruitment Approach: Utilizing Facebook Groups to Recruit COVID-19 Long-Haulers
Authors: Garrett Camryn , Qiao Shan , Tam Cheuk Chi , Li Xiaoming 
Published: March 2024

Abstract

Introduction: The accessibility of social media (e.g., Facebook groups) presents long-haulers with the ability to connect with others with similar experiences and symptomology that are likely outside of their physical social networks. Social media sites may serve as promising platforms for research recruitment, public health campaigns, or interventions. The present study aims to assess, and comprehensively present, the effectiveness of a low-cost approach to recruitment through groups on Facebook within the context of a broader study of COVID-19 long-haulers.
Methods: Facebook groups were searched using a variety of COVID-related terminology and included if they were in English, COVID-19 specific, public, and have or were approaching 1,000 or more members. Group administrators were either contacted for permission to post recruitment materials or posts were made and left pending administrator approval, depending on group settings. Group members were able to follow a link to the online survey platform (i.e., RedCap) where they provided informed consent and completed an online assessment of their COVID-19 experiences and psychosocial wellbeing. Upon survey completion participants were able to opt-in to a raffle-based incentive. The characteristics of the Facebook groups and demographic background of participants were assessed.
Findings: Contacting administrators and posts made between January and March of 2022 within 17 COVID-19 specific groups yielded a sample size of 460 long-haulers. The groups relied upon for recruitment had a mean size of 21,022 (SD=45,645.3), most had three or more administrators (43%), and a majority were state specific (60%). The long-hauler participants enrolled from the posts had an average age of 32 years (SD=6.19), approximately split between men (48.91%) and women (50.22%), a majority white (70%), having earned a bachelor’s or postgraduate degree (63.48%), and reporting an annual income between $50,000 and $100,000 (56.09%).
Discussion: The present study presents strengths and recommendations for survey recruitment through Facebook groups as a low-cost recruitment strategy that is easily targeted to populations with a specific health condition and allows users to complete online psycho-behavioral assessments off-site on a HIPPA compliant survey platform.
Biology, morphology and molecular study of Sassanidotus gracilis (Birula, 1900) (Arachnida: Scorpiones)
Authors: Barahoei Hossein 
Published: March 2024

Abstract

Sassanidotus (Scorpiones: Buthidae) is a small genus of scorpions described by Farzanpay (1987). The size of adult members is about 50 mm and overall color of the body is yellow. This genus has two species. Sassanidotus gracilis (Birula, 1900) has been described morphologically from Zabol, southeast of Iran. Sassanidotus zarudnyi (Birula, 1900) was described based on a holotype from Teheran, North of Iran. Limitations in morphology-based identification systems indicate the need for molecular study to taxon identification. To confirm the validity and redescription of Sassanidotus gracilis, twenty specimens collected from Sistan & Baluchistan province were studied morphologically and molecularly. Sassanidotus gracilis were redescribed. Maximum likelihood and Bayesian inference phylogenetic trees show that members of Sassanidotus were placed at the top of trees as the sister group of the Mesobuthus. Both genera are very similar morphologically. The genetic difference between different genera confirms Sassanidotus validity. Five pairs of living specimens were studied to investigate the biology of the species. Litter size for S. gracilis was 15–19.