bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of murine breast tumor development in the kinetics of B cell subpopulations
Authors: Gonçalves Igor Visconte , Pinheiro-Rosa Natália , Torres Lícia , Oliveira Mariana de Almeida , Leite Christiana da Silva , Ortega José Miguel , Lopes Miriam Teresa Paz , Faria Ana Maria Caetano , Felicori Liza Figueiredo 
Published: October 2023

Abstract
Despite presenting a worse prognosis and being associated with highly aggressive tumors, triple-negative breast cancer (TNBC) is characterized by the higher frequency of tumor-infiltrating lymphocytes, which have been implicated in better overall survival and response to therapy. Although in the last decades, the role and dynamics of tumor-infiltrating T cells have been extensively characterized, much less is known for B cells. Though recent studies have reported the capacity of B lymphocytes to recognize overly-expressed normal proteins, and tumor-associated antigens, how tumor development potentially modifies B cell response is yet to be elucidated. Our findings reveal distinct effects of 4T1 and E0771 murine tumor development on B cells in secondary lymphoid organs. Notably, we observe a significant expansion of total B cells and plasma cells in the tumor-draining lymph nodes (tDLNs) as early as 7 days after tumor challenge in both murine models, whereas changes in the spleen are less pronounced. Surprisingly, within the tumor microenvironment (TME) of both models, we detect distinct B cell subpopulations, but tumor development does not appear to cause major alterations in their frequency over time. Furthermore, our investigation into B cell regulatory phenotypes highlights that the B10 Breg phenotype remains unaffected in the evaluated tissues. However, we identified an increase in CD19 + LAG-3 + cells in tDLNs of both murine models. Interestingly, although CD19 + LAG-3 + cells represent a minor subset of total B cells (< 3%) in all evaluated tissues, most of these cells exhibit elevated expression of IgD, suggesting that LAG-3 may serve as an activation marker for B cells. In summary, our study demonstrates that TNBCs have a significant impact on the dynamics of B cells in secondary lymphoid organs, particularly in tDLNs. These findings suggest that TNBCs may influence the generation of antibodies and the immune response against tumor cells, shedding light on a relatively unexplored aspect of the immune microenvironment in TNBC.
GCNKD-Net:Multi-layer graph convolution networks for point cloud keypoints detection
Authors: Jia Xuefang , Li Minqi , Zhang Kaibing , Li Ben , Ren Jie 
Published: October 2023

Abstract
Point cloud keypoints detection is an important component for many 3D applications. However, it is still a challenging task due to the irregular topology structure, noisy, low-resolution, and incomplete nature of 3D scan data. In this paper, we propose a novel learning based method to jointly learn a keypoint detector and a 3D feature descriptor, titled GCNKD-Net, based on graph neu-ral networks. Our approach consists of two parts: a keypoint detector to extract reliable keypoints and saliency uncertainties, and a feature descriptor to extract features for each keypoint. We propose a novel graph convolutional network in the two modules by using edge convolution with clustering strategy to extract features of points, which incorporates local neighborhood information and is stacked to learn global topology structures. Moreover, a joint loss function composed of detector loss and descriptor loss is defined for training the proposed GCNKD-Net model to encourage high repeatability and accurate localization of the keypoints. We evaluate our approach on two large LIDAR datasets-the KITTI dataset and the Oxford dataset. Experimental results demonstrate that our method achieves state-of-the-art performances with better repeatability values and matching accuracy of detecting keypoints. Our code is available at https://github.com/Lucky5026/GCNKDNet.git
Stability Improvements for Fast Matrix Multiplication
Authors: Charlotte Vermeylen , Marc Van Barel 
Published: October 2023

Abstract
We implement an Augmented Lagrangian method to minimize a constrained least-squares cost function designed to find polyadic decompositions of the matrix multiplication tensor. We use this method to obtain new discrete decompositions and parameter families of decompositions. Using these parametrizations, faster and more stable matrix multiplication algorithms can be discovered.
Whole Genome Sequencing Identifies Enterotoxigenic and Antimicrobial Resistance Potential of Staphylococcus aureus from Maine Dairy Farms
Authors: Roadcap E. , Lichtenwalner A. , Kennedy-Wade B. , Adjapong G. , Chakrawarti A. , Anna F. Machado De Sant’ , Barlow John W. 
Published: October 2023

Abstract
Background
Staphylococcus aureus is a leading cause of mastitis in dairy livestock and is a pathogen with unknown but potentially substantial impact on public and herd health in Maine. The primary objective of this study was to describe retrospective trends in S. aureus detection at the University of Maine Cooperative Extension Veterinary Diagnostic Laboratory (UMVDL) for milk samples from mastitis cases submitted between July 2017 and June 2022. The second objective was to assess the genetic profiles of 29 S. aureus isolates collected from dairy farms in Maine in 2017 and 2022.
Results
Overall, 7.8% of milk samples from mastitis cases submitted to UMVDL between July 2017 and June 2022 were positive for S. aureus, and the percentage of S. aureus-positive samples increased annually. The 29 isolates collected in 2017 (2 isolates) and between May and July of 2022 (27 isolates) and analyzed by whole genome sequencing belonged to 8 strain types and 5 clonal complexes typically associated with ruminant species. Across the genomes of the 29 isolates, 14 antimicrobial resistance genes were detected, with antibiotic efflux as the primary resistance mechanism. Each isolate contained 2 to 10 staphylococcal enterotoxin genes representing 15 unique genes. Antimicrobial resistance and staphylococcal enterotoxin gene presence/absence clustered with clonal complex and host species of origin.
Conclusions
Whole genome sequencing identified ruminant-associated sequence types and antimicrobial susceptibility profiles consistent with other regional reports. Staphylococcal enterotoxins genes of potential public health concern were also identified. This study provides insight into future opportunities to study S. aureus epidemiology and to survey dairy production in animal and public health contexts in Maine.
RNA transcriptome analysis of platelets revealed altered platelet responses and the mechanism of thrombocytopenia in SFTS
Authors: Fang Yaohui , Zhang Jingyuan , Xu Ling , Wang Tong , Fan Lei , Zhu Qiong , Xiao Jian , Wu Xiaoli , Jin Jiayin , Wu Qiaoli , Tang Shuang , Zheng Xin , Deng Fei , Shen Shu 
Published: October 2023

Abstract
Background
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne viral hemorrhagic fever disease caused by infection with Dabie bandavirus (SFTS virus, SFTSV). Thrombocytopenia is the primary clinical feature of SFTS and is significantly associated with disease severity. However, the pathological mechanism of thrombocytopenia in SFTS remains unclear.
Methods
Platelets purified from SFTS patients were subjected to RNA transcriptome analyses. Differentially expressed genes (DEGs) in the platelets of deceased and surviving patients were identified, and their functions and transcription levels were characterized. DEGs related to cell death were compared with the platelets of COVID-19 and dengue fever patients. The percentage of platelets positive for biomarkers of pyroptosis, apoptosis, necroptosis, autophagy, and ferroptosis was determined by flow cytometry. RNA transcriptome analyses were also performed with platelets purified from nonlethal SFTSV infection model mice. DEGs representing the functional changes in mouse platelets were characterized, and platelet death was also investigated. Functional platelet changes in SFTS patients and SFTSV-infected mice were compared to determine the different mechanisms underlying thrombocytopenia in humans and mice.
Results
Platelet transcriptome analyses revealed altered platelet functioning in SFTS patients and suggested an active platelet response in surviving patients but not in fatal patients. Enhanced neutrophil activation, interferon (IFN) signaling, and the virus life cycle were common platelet responses in SFTS. The increased histone methylation and impaired vesicle organization in platelets may be related to the fatal outcome, while the enhanced protein transport to membrane and RNA catabolic process may contribute to disease recovery. Moreover, SFTSV infection resulted in platelet loss via pyroptosis, apoptosis, necroptosis, and autophagy but not ferroptosis. Unlike platelets in SFTS patients, platelets in SFTSV-infected mice play a role mainly in regulating adaptive immunity, and platelet death in mice was not as severe as that in humans.
Conclusions
This study revealed altered platelet functioning in response to SFTSV infection and the mechanisms of thrombocytopenia in humans, which are different from those in mice infected with SFTSV. The results deepen our understanding of the pathogenesis of thrombocytopenia in SFTS and provides insights for subsequent studies on SFTS pathogenesis and the development of novel intervention strategies.
Videoconference buyer-seller negotiations: a systematic literature review
Authors: Prat Mireia 
Published: October 2023

Abstract
Negotiations performed through videoconference have traditionally been studied in comparison to other communication media such as face-to-face, audio channels, or instant messaging. In this systematic literature review, we aim at gathering all empirical studies of buyer-seller negotiations performed synchronously by two people using a video system, analyzing the variables studied and the technological evolution of video negotiations. We develop a framework to classify the relevant variables, dividing them into negotiation, communication, and technological variables, and also in objective or subjective variables. We find that there are mixed or inconclusive results concerning negotiation variables such as economic outcomes, negotiation time, satisfaction, power, or trust. Technological variables like screen size, hardware and software used or user familiarity with technology show the evolution of videoconferencing and are very different among studies, which hinders its comparability. Emerging technologies involving extended reality or artificial intelligence may change the game in the negotiation world.
The effect of using probiotics on the microbial hydrolysis of collagen of fish waste to determine the optimal conditions for collagen peptide production
Authors: Abedi Mahsa , Darejazi Amirreza Shaebani , Gholami Roozbeh , Maghsoudi Ghazaleh 
Published: October 2023

Abstract
As fish processing expands, the rational use of by-products to valuable products is becoming more and more important. Collagen peptide is a hydrolysis of collagen and a valuable product used in medical and food applications. Hydrolysis of collagen by protease enzymes such as pepsin and trypsin is a major health concern. The deactivation of these enzymes at high temperatures leads to reduced collagen quality. Introducing probiotics into the collagen instead of protease enzymes could offer a solution to the health risk problem. Despite this, the hydrolytic activity of a probiotic bacterial strain such as lactobacillus casei is not as powerful as that of strong commercial enzymes, the dissertation proposed hydrolysing fish collagen using combination of the probiotic strains (VSL#3). The influence of the probiotic hydrolysis on the quality and structural components of the collagen was examined using colour differences (CD) and determination of its degree of hydrolysis (DH). Based on the data, we evolved and tested numerous equations and surfaces explaining how to find the best parameters for collagen hydrolysis. The temperature and time of hydrolysis are factors that have a significant impact on the DH and CD. As a result of the experiment, it can be concluded that VSL#3 breaks down fish collagen at a higher incidence than Lactobacillus strain. Antioxidant activity is substantially higher in the presence of VSL#3 than single one and commercial enzymes. Research has shown that combination of the probiotic enzyme is more effective than single probiotic on collagen hydrolysis and quality.
The Potential of Solanum aethopicam Supplementation to Reduce the Anthropometric and Biochemical Risk Factors for Non-communicable Diseases among Older Persons in Mukono Municipality, Uganda: A Before-and-After Study
Authors: Tumusiime Gerald , Balyejusa Elizabeth Kizito , Kkonde Anthony , Nakanwagi Mildred Julian , Tukwasibwe Stephen , Ndagire Catherine , Mutambuka Martin 
Published: October 2023

Abstract
Background:
Non-communicable diseases contribute to over 70% of all deaths globally with the majority of the deaths in low and middle-income countries. Although increased vegetable consumption is a cost-effective intervention to mitigate the burden of non-communicable diseases, little is known about African indigenous vegetables to guide their consumption, especially among older persons. This study, aimed at exploring the potential of dietary Solanum aethopicam Shum supplementation in the reduction of the risk of non-communicable diseases among older persons aged 50 years and above in Mukono municipality, Uganda.
Methods:
This was a before-and-after study of 100 community-dwelling older persons aged 50 years and above residing in cosmopolitan Mukono Municipality in central Uganda. The meal of each participant was supplemented with 375g of Solanum aethiopicum Shum per day for four weeks. Anthropometric and biochemical parameters were collected at baseline and at the end of the four weeks. All measurements were taken in the morning after an overnight fast. Data was entered into an Excel sheet and transferred to STATA software for analysis. All data was summarized in tables and texts.
Results:
Of the 100 older persons aged 50 to 88 years (mean 63 ± 10), 60% were females and on average, males were older than females. Based on the body mass index, five percent were underweight, 40% were normal, and 55% were overweight or obese at baseline. After supplementation with Solanum aethiopicum Shum, three percent were normal, 44% were normal and 53% were overweight or obese. Also, there was a mean reduction in the participants’ weight, body mass index, mid-upper arm circumference, abdominal girth, hip circumference, and C-reactive protein.
Conclusion:
The results suggest that supplementation of the older persons’ diet with Solanum aethiopicum Shum improves their nutrition status, and leads to a reduction in the mean weight, body mass index, mid-upper arm circumference, abdominal girth, hip circumference, and C-reactive protein levels. Dietary supplementation with Solanum aethiopicum Shum should be promoted as a potential strategy to reduce the risk of non-communicable diseases among older persons.
DRG-LLaMA: Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients
Authors: Wang Hanyin , Gao Chufan , Dantona Christopher , Hull Bryan , Sun Jimeng 
Published: October 2023

Abstract
In the U.S. inpatient payment system, the Diagnosis-Related Group (DRG) is pivotal, but its assignment process is inefficient. The study introduces DRG-LLaMA, an advanced large language model (LLM) fine-tuned on clinical notes to enhance DRGs assignment. Utilizing LLaMA as the foundational model and optimizing it through Low-Rank Adaptation (LoRA) on 236,192 MIMIC-IV discharge summaries, our DRG-LLaMA-7B model exhibited a noteworthy macro-averaged F1 score of 0.327, a top-1 prediction accuracy of 52.0%, and a macro-averaged Area Under the Curve (AUC) of 0.986, with a maximum input token length of 512. This model surpassed the performance of prior leading models in DRG prediction, showing a relative improvement of 40.3% and 35.7% in macro-averaged F1 score compared to ClinicalBERT and CAML, respectively. Applied to base DRG and complication or comorbidity (CC)/major complication or comorbidity (MCC) prediction, DRG-LLaMA achieved a top-1 prediction accuracy of 67.8% and 67.5%, respectively. Additionally, our findings indicate that DRG-LLaMA's performance correlates with increased model parameters and input context lengths.
Enhancing Early Detection of Lung Cancer: Image Processing and Nodule Classification using Sensitivity maps
Authors: Saxena Sugandha , N Prasad S 
Published: October 2023

Abstract
Lung cancer is a deadly and malignant condition. There are numerous models that can identify lung cancer, but their accuracy must be improved. Therefore, it's critical to identify lung cancer with great precision and sensitivity. A new model called Maximum Sensitivity Neural Network (MSNN) has been offered as a solution to this issue. The suggested model beat existing deep learning models with 96.9% accuracy and 94.6% sensitivity after experimental verification. Sensitivity map has been superimposed on lung ct scan image to show the area of an image that contributes the most for classification of nodule as cancerous or noncancerous. As a result, this innovative approach has good performance in identifying lung cancer with a low false positive rate, which can boost the accuracy of medical diagnosis.
The relationship between 10 anthropometric measures and metabolic dysfunction-associated fatty liver disease: among United States population: the National Health and Nutrition Examination Survey 2017–2018
Authors: Zhang Wei , Huang Jiale , Li Hongwei , Meng Qingyang 
Published: October 2023

Abstract
Background
MAFLD is a rapidly progressive chronic liver disease approximately 1/3 of adults in the United States have fatty liver. Therefore, this study investigated the relationship between 10 anthropometric measures and the risk of MAFLD using the American National Health and Nutrition Examination Surveys.
Methods
Overall 3702 participants were included in this study. MAFLD was defined as hepatic steatosis with one or more of the following: (1) overweight or obesity (body mass index ≥ 25 kg/m2), (2) type 2 diabetes, or (3) two or more other metabolic risk abnormalities. The anthropometric measures included weight, hip, WC, BMI, BRI, BAI, WTHR, WHTR, ABSI, and conicity index. The relationship between anthropometric measures and MAFLD was investigated using survey-weighted logistic regression, and stratified by sex and ages.
Result
When different indexes were used as continuous variables, the odds ratio (OR) is basically between 1.01–1.08. When different indexes were used as categorical variables (divided into trisection), WHTR per SE had the highest OR 20.166 (95%CI:12.131–33.523), followed was WC per SE with OR 19.472 (95%CI: 13.046–29.064), BRI per SE with OR 19.110 (95%CI: 11.195–32.623), while the ABSI per SE with the lowest OR 1.968 (95%CI: 1.387–2.794), WC with highest AUC (0.832), WHTR and BRI with AUC (0.831), ABSI with lowest AUC (0.609). WHTR had the highest sensitivity of 0.791(0.765,0.815).
Conclusion
The results of this study suggest that anthropometric indices can be good predictors of MAFLD. WTHR, BRI and WC were better predictors of MAFLD in adults, correctly identifying 80% of patients with the disease.
Sero-Antigen Prevalence, Risk Factors of Lymphatic Filariasis and Podoconiosis in Busiriba Sub-county, Kamwenge District, Southwestern Uganda, August–September 2018
Authors: Mwesigye Vicent , Musinguzi Benson , Migisha Richard , Okongo Benson , Mucunguzi William , kakaire Michael Nyende 
Published: October 2023

Abstract
Lymphatic filariasis (LF) is a neglected tropical disease with painful and disfiguring visible manifestations of the disease, including lymphedema, elephantiasis and scrotal swelling that occur later in life and can lead to permanent disability(WHO, 2017). Elephantiasis one of the neglected tropical diseases is a public health problem with 947 million people in 54 countries that requires preventive chemotherapy to stop the spread of infection. In the African region, more than 382 million people are exposed to lymphatic filariasis (LF) in 39 of the 46 countries at risk. For over a decade since its inception, the Lymphatic Filarial Elimination programme has finished mapping in 35 countries at risk including Uganda. (MoH, 2009). Despite the treatment given under this programme , an increase in elephantiasis has been reported in Kamwenge district according to the Drugs for Neglected Diseases Initiative (DNDI) and another 14.5 million are at risk of being infected (MoH, 2009). However the prevailing status of lymphatic filariasis and podoconiosis in Busiriba Sub County is not known. We determined the Sero-antigen prevalence, and risk factors of lymphatic filariasis and podoconiosis in Busiriba Sub-county, Kamwenge District, and south western Uganda.
Methods: We conducted this cross-sectional study during August and September 2018.We recruited residents (participants) who had lived in study area for more than three months using stratified sampling procedure, and administered a structured questionnaire to capture demographic and other exposure characteristics of study participants. We collected blood samples and tested for them for filarial circulating antigen using Immunochromatographic Test (Alere Scarborough, Inc. 10 Southgate Road, Scarborough, ME 04074 USA). Additionally, soil samples were tested for silicon using inductively coupled plasma spectrometer. We performed multivariable logistic regression to identify risk factors for Podoconiosis among the study participants.
Results: We enrolled 101 participants; of these most (61.4%) females. The mean age was 41(±21) years. The overall Sero - antigen prevalence of lymphatic filariasis was 1.0% (n=1). The prevalence of non-filarial elephantiasis (Podoconiosis) was found to be 34.7% (35/101) (95%CI 25.5 – 44.8%).
Conclusion: The Sero antigen prevalence of lymphatic filariasis was found to be 1.0%. Prevalence of Podoconiosis was found to be 34.7%. The average silicon concentration was found to be 36.1ppm (mg/kg of soil). The average pH was 6.2 (range 5.6–6.8).
Seasonal Variation in Physico-chemical Characteristics of Wastewater from Domestic Treatment Plant
Authors: Semegn Getachew , Demeke Getahun , Aschale Minbale , Melaku Assefa 
Published: October 2023

Abstract
The discharge of effluent from wastewater treatment plants is one of the main sources of pollution that seriously affects the water quality parameters in water bodies. This occurs mainly when partially or untreated effluent is released to the nearby water bodies. The present work paying attention on the regular variations in physico-chemical parameters of the Kombolcha Wastewater Treatment Plant in Ethiopia. The study was carried out using standard methods to evaluate various physico-chemical parameters from the effluent. Our findings were pH (8.6–9.3), TSS (196–226 mg/L), EC (1244–1143 µS/cm), temperature (23–31 0C), turbidity (820–896 NTU), COD (580–622 mg/L), alkalinity (241–290 mg/L), sulfate (8.3–11 mg/L), nitrite (7.1–7.8 mg/L), nitrate (3.1–3.9 mg/L) and phosphate (4.1–4.8 mg/L). Alkalinity, conductivity, TSS, turbidity, sulfate, phosphate and COD values exhibited considerable month-to-month variation. The results showed that most of the values of the results were above the recommended limits for wastewater discharge. Hence, the effluents from the treatment plant were the possible sources of pollution in the study areas and calls for improvement of the wastewater treatment operations to ensure safe effluent discharge to the receiving water bodies.