bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI-Powered Expedition: Navigating the Cosmos for Habitable Planets through Advanced ML Techniques
Authors: Patil Tanaya , Patil Gautam , Arora Sandhya 
Published: August 2023

Abstract
The scientific community has been captivated for decades by the search for a planet beyond Earth that is suitable for habitation. Exploring the intersection of recent Artificial Intelligence (AI) advancements and exoplanet research, this paper investigates the accelerated identification of habitable exoplanets, tracing its historical development and underlying motivations. Drawing upon a range of strategies including Exoplanet detection, habitable zone analysis, AI-based data analysis, and robotic exploration, this paper employs AI techniques to identify prospective habitable exoplanets, evaluating key factors for planetary habitability while encompassing methodologies like exoplanet characterization and AI-driven observational strategies. The study encompassed several essential analyses, including radial velocity analysis for both Kepler and Mars, modelling the habitable zone around stars in the case of Kepler 542-b, determining suitable liquid water conditions on Kepler 542-b, analysing atmospheric composition for general exoplanet potential (as well as specifically for Mars), estimating surface temperatures along with mass and size on Mars, employing a machine learning algorithm using SVM for classifying microorganisms on Kepler 452-b, utilizing Bayesian inference to create probabilistic models considering temperature, magnetic fields, and radiation levels (infrared, X-rays, gamma rays) on Mars. Additionally, a regression model was developed to predict potential life on Mars by 2050. Constant values were used due to limited data availability. Nevertheless, these findings lay a solid foundation for future research endeavours and explorations in our quest to find liveable planets. It emphasizes the importance of ongoing research and its role in preparing for future explorations and potential colonization beyond Earth.
Participatory identification of cashew (Anacardium occidentale L.) promising genetic resources in Ivory Coast
Authors: Yepié Oro Flora , Koffi Kouamé Kévin , Akaffou Sélastique Doffou , Zoro Bi Irié Arsène 
Published: August 2023

Abstract

Ivory Coast ranks first and third in the world in cashew nut production and processing, respectively. Despite this performance, the profitability of Ivorian cashew orchards remains low, due mainly to a lack of improved varieties and the use of inappropriate farming practices. To address this problem, farmer-participatory selection of promising trees was conducted for three consecutive years (2019–2021) in four administrative regions covering the main cashew production zones of the country. Investigations were carried out on 121 cashew trees using eight quality traits indicated by farmers, six yield components and two traits of industrial interest. High phenotypic variability was noted for most of the traits analyzed (coefficient of variation > 25% for 12/15 traits). A total of 42 trees was identified as promising trees. Considering the yield trait, 9, 22, and 11 trees were classified as good (15–20 kg nut/year), best (21–30 kg nut/year), and elite (> 30 kg nut/year), respectively. From the combined analysis of quality criteria, five trees (L45, A15, R22, J27, and H23) were proposed for local distribution to farmers. Five trees with good industrial qualities in addition to interesting yields (17.28–28.95 kg nut/year) have been proposed for cultivation for double purposes: A45 and G14 for nut and beverages; and A34, A41, F21, and L22 for nut and the cashew nut shell liquid. The trees G27, I11, l12, and G24 with high sugar contents (37.71–26.24 Brix) can be grown for beverages. Phenetic analysis showed only two distinct groups, suggesting a narrow genetic basis of cashew trees in Ivorian orchards. Additional studies and means for a better valorization of these genetic resources are suggested.
Evaluating swine disease occurrence on farms using the state-space model based on meat inspection data: a time-series analysis
Authors: Narita Tsubasa , Kubo Meiko , Nagakura Yuichi , Sekiguchi Satoshi 
Published: August 2023

Abstract
Background
Data on abnormal health conditions in animals obtained from slaughter inspection are important for identifying problems in fattening management. However, methods to objectively evaluate diseases on farms using inspection data has not yet been well established. It is important to assess fattening management on farms using data obtained from slaughter inspection. In this study, we developed the state-space model to evaluate swine morbidity using slaughter inspection data.
Results
The most appropriate model for each disease was constructed using the state-space model. Data on 11 diseases in slaughterhouses over the past 4 years were used to build the model. The model was validated using data from 14 farms. The local-level model (the simplest model) was the best model for all diseases. We found that the analysis of slaughter data using the state-space model could construct a model with greater accuracy and flexibility than the ARIMA model. In this study, no seasonality or trend model was selected for any disease. It is thought that models with seasonality were not selected because diseases in swine shipped to slaughterhouses were the result of illness at some point during the 6-month fattening period between birth and shipment.
Conclusion
Evaluation of previous diseases helps with the objective understanding of problems in fattening management. We believe that clarifying how farms manage fattening of their pigs will lead to improved farm profits. In that respect, it is important to use slaughterhouse data for fattening evaluation, and it is extremely useful to use mathematical models for slaughterhouse data. However, in this research, the model was constructed on the assumption of normality and linearity. In the future, we believe that we can build a more accurate model by considering models that assume non-normality and non-linearity.
Associations between structural covariance network and antipsychotic treatment response in schizophrenia
Authors: Nakajima Shinichiro , Tsugawa Sakiko , Honda Shiori , Noda Yoshihiro , Wannan Cassandra , Zalesky Andrew , Tarumi Ryosuke , Iwata Yusuke , Ogyu Kamiyu , Plitman Eric , Ueno Fumihiko , Mimura Masaru , Uchida Hiroyuki , Chakravarty Mallar , Graff-Guerrero Ariel 
Published: August 2023

Abstract
Schizophrenia is associated with widespread cortical thinning and abnormality in the structural covariance network, which may reflect connectome alterations due to treatment effect or disease progression. Notably, patients with treatment-resistant schizophrenia (TRS) have stronger and more widespread cortical thinning, but it remains unclear whether structural covariance is associated with treatment response in schizophrenia. We therefore organized a multicenter magnetic resonance imaging study to assess structural covariance in a large population of TRS and non-TRS, who had been resistant and responsive to non-clozapine antipsychotics, respectively. Whole-brain structural covariance for cortical thickness was assessed in 102 patients with TRS, 77 patients with non-TRS, and 79 healthy controls (HC). Network based statistics were used to examine the difference in structural covariance networks among the three groups. Moreover, the relationship between altered individual differentiated structural covariance and clinico-demographics was also explored. Patients with non-TRS exhibited greater structural covariance compared to HC, mainly in the fronto-temporal and fronto-occipital regions, while there were no significant differences in structural covariance between TRS and non-TRS or HC. Higher individual differentiated structural covariance was associated with lower general scores of the Positive and Negative Syndrome Scale in the non-TRS group, but not in the TRS group. These findings suggest that reconfiguration of brain networks via coordinated cortical thinning is related to treatment response in schizophrenia. Further longitudinal studies are warranted to confirm if greater structural covariance could serve as a marker for treatment response in this disease.
Inferring transcriptional activation and repression activity maps in single-nucleotide resolution using deep-learning
Authors: Hait Tom Aharon , Elkon Ran , Shamir Ron 
Published: August 2023

Abstract

Recent computational methods for inferring cell type-specific functional regulatory elements have used sequence and epigenetic data. Active regulatory elements are characterized by open-chromatin state, and the novel experimental technique ATAC-STARR-seq couples ATAC-seq assays, which capture such genomic regions, with a functional assay (STARR-seq) to selectively examine the regulatory activity of accessible DNA. ATAC-STARR-seq may thus provide data that could improve the quality of computational inference of active enhancers and silencers. Here, we propose a novel regression-based deep learning (DL) model that utilizes such data for predicting single nucleotide activation and repression maps. We found that while models using only sequence and epigenetics data predict active enhancers with high accuracy, they generally perform poorly in predicting active silencers. In contrast, models building also on data of experimentally identified enhancers and silencers do substantially better in the identification of active silencers. Our model predicts many novel enhancers and silencers in the model lymphoblastoid cell line GM12878. Epigenetic signatures of the novel regulatory elements detected by our model resemble the ones shown by the experimentally validated enhancers and silencers in this cell line. ChIP-seq enrichment analysis in predicted novel silencers identify a few significant enriched transcriptional repressors such as SUZ12 and EZH2, which compose the PRC2 repressive complex. Intersection with GWAS data found that the novel predicted enhancers are specifically enriched for risk SNPs of the Lupus autoimmune disease. Overall, while silencers are still poorly understood, our results show that our DL-model can be used to complement the experimental results on regulatory element discovery.
Prognostic Value of Preoperative Geriatric Nutritional Risk Index in Intrahepatic Cholangiocarcinoma After Hepatectomy: A Single ‑ Center Retrospective Cohort Study
Authors: Ogawa Daisuke , Miyata Tatsunori , Yumoto Shinsei , Shiraishi Yuta , Matsumoto Takashi , Takematsu Toru , Tsukamoto Masayo , Nakagawa Shigeki , Mima Kosuke , Nitta Hidetoshi , Hayashi Hiromitsu , Baba Hideo 
Published: August 2023

Abstract
Aim
Patients with malignant tumors are prone to develop nutritional disorders. The Geriatric Nutritional Risk Index (GNRI) is a new prognostic indicator for assessing the nutritional status. This study was performed to evaluate whether the preoperative GNRI can serve as a prognostic factor in patients with intrahepatic cholangiocarcinoma (ICC) undergoing curative surgery.
Methods
This study included 123 consecutive patients with ICC who were treated with curative surgery. Kaplan–Meier analysis was performed to calculate the recurrence-free survival (RFS) and overall survival (OS), and Cox regression analysis was used to evaluate prognostic factors.
Results
Of the 123 patients, 82 were male and 41 were female. The median age of the patients was 70 years, and the median follow-up period was 37.0 months (interquartile range, 16.2–71.7 months). The patients were classified by the median GNRI into a low GNRI group (GNRI < 105) and high GNRI group (GNRI ≥ 105). The patients in the low GNRI group had a significantly poorer prognosis in terms of RFS and OS than the patients in the high GNRI group (RFS, p = 0.0201; OS, p < 0.0001). Lymph node metastasis [hazard ratio (HR), 4.66; 95% confidence interval (CI), 2.46–8.85], postoperative complications (HR, 2.38; 95% CI, 1.32–4.31), and a low GNRI (HR, 2.53; 95% CI, 1.42–4.50) were independent poor prognostic factors for OS.
Conclusion
The GNRI may be a useful prognostic indicator in patients with ICC undergoing curative hepatectomy.
Intra-articular Injection of Ascorbic Acid Enhances microfracture-mediated Cartilage Repair
Authors: chen zhian , Lv Xiaoyu , Zhang Sihe , Duan Peiya , Zhou Tianhua , Yin Zheng bo , Dong Shuangbin , Lin Hui , Pang Rongqing , 谭 洪波 
Published: August 2023

Abstract
Objective:Previous studies have confirmed that Ascorbic Acid(AA) can promote cartilage repair and improve cartilage differentiation of bone marrow mesenchymal stem cells. However, the use of microfractures(MFX) combined with AA in the repair of cartilage damage has not been studied. The aim of this study is to explore the beneficial effects of the combination of MFX and AA in cartilage repair.
Methods:Sixty New Zealand white rabbits were randomly divided into 5 groups (12 knees each): MFX group and MFX combined with 4 different concentrations of AA treatment group (1mg/ml, 3mg/ml, 10mg/ml, 30mg/ml). Construct a rabbit knee trochlear groove osteochondral defect (diameter 5 mm, depth 2 mm), and perform MFX surgery after the osteochondral defect. Inject different concentrations of AA into both knee joint cavities immediately, 2 weeks, and 4 weeks after surgery. At 6 and 12 weeks after surgery, rabbits were euthanized for gross observation, International Cartilage Repair Society (ICRS) score, micro-computed tomography examination, histological and immunohistochemical detection, and reverse transcription quantitative polymerase chain reaction was used to detect the expression of TGF-β1, AKT/Nrf2, and VEGF mRNA.
Results:After 6 weeks of surgery, gross observation and Micro-CT showed that compared to MFX, the 10mg/ml group had better healing of cartilage defect areas and subchondral bone, with higher ICRS scores, while the 30mg/ml group had lower ICRS scores; Histology and immunohistochemistry showed that compared to MFX, the 10mg/ml regenerated cartilage had a higher thickness and type 2 collagen content, while the 30mg/ml group showed a small amount of regenerated cartilage and higher type 1 collagen expression. At 12 weeks after surgery, gross observation, histology, and immunohistochemistry showed the same results as at 6 weeks, with 10mg/ml exhibiting more transparent morphology. Quantitative polymerase chain reaction results showed that after AAinjection, the mRNA levels of TGF and VEGF were significantly downregulated.
Conclusion:Injection of AA into the joint cavity has a positive effect on cartilage repair mediated by MFX. Among them, when the injection concentration of AA is 10mg/ml, it is the most effective in promoting cartilage repair mediated by MFX; Meanwhile, intra-articular injection of AA promotes the synthesis of type II collagen and the formation of glycosaminoglycans by downregulating the mRNA expression levels of TGF-β1 and VEGF.
Network Analysis of Work-Family Balance, Perceived Stress and Turnover Intentions in Female Medical Workers
Authors: Lin Yin , li Jia 
Published: August 2023

Abstract

Recently, increased stress and turnover tendency among female healthcare workers due to work-family imbalance have become key issues affecting the sustainable and healthy development of the healthcare system. It is warranted to explore the network relationships between work-family balance, perceived stress and turnover intentions to target the turnover of female healthcare workers. The Work-Family Balance Scale, the Perceived Stress Scale and the Turnover Intentions Scale were used to survey 436 female healthcare workers, and network analysis of the data via R software. The network analysis showed that turnover intentions had strong connections with perceived stress, adjustment, defense and conversion, while feeble connections with feedback and compensation (controlling for age, marital status and child-rearing). This suggested the degree of work impact, intrusion, or conflict on the family was the key factor influencing the level of stress and turnover intention in female medical professionals, with less consideration given to whether employment might contribute resources to the family.
Channel Coordination Attention for Crop and Weed Segmentation Neural Networks
Authors: Bai Xinfeng , Xue Yuming , Dai Hongli , Wang Luoxin , Bai Xin , Hu Xiaofeng , Li Bo 
Published: August 2023

Abstract
Convolutional neural network is widely used in the field of intelligent agricultural production, but in weed control, the complexity of the environment and the similarity between plants place higher demands on the task of crop and weed image recognition and segmentation. The attention mechanism, as a plug and play module, has been shown to significantly improve the network performance by dynamically weighting the input images to achieve the adjustment of the neural network attention. In this paper, a hybrid attention mechanism was proposed to establish global feature dependence by using channel autocorrelation matrix, named channel coordination attention. The attention mechanism established an autocorrelation matrix by obtaining the dependency relationships of feature channels, and used this matrix to aggregate spatial features in different directions to strengthen the location features. The resulting pair of spatial attention and previously obtained channel attention worked together on the input feature map to enhance feature representation capability. This study establishes an Unet network model to compare the performance of the proposed attention mechanism with other mainstream attention in crop and weed segmentation application scenarios. The experimental results showed that the proposed attention mechanism outperformed current mainstream attention mechanisms, such as Squeeze-and-Excitation attention (SE), Convolutional Block Attention Module (CBAM), Coordinated Attention (CA), etc., in terms of interaction ratio, accuracy, and average pixel accuracy. Finally, by comparing the performance in different recognition algorithms, it was proven that the proposed attention mechanism can be applied to different network models and significantly improve its segmentation performance.
Smart Tourism Applications and Information Quality Affect to Tourist’s Experience
Authors: Thai Son Le 
Published: August 2023

Abstract
This study investigates the relationship between smart tourism applications, information quality to influence tourists' perception and experience when they use mobile devices to travel in Dalat on the occasion of 2022 Flower Festival. Based on studies on smart tourism applications (STA), this study develops a model to examine visitor experience through their perception. Based on an online survey of tourists visiting Dalat on the occasion of the 2022 Flower Festival, this study examines the factors that influence tourists' experiences on this occasion. The results show that (1) Smart tourism applications, the quality of information affects three attributes of perception, namely Attitude, control ability, beliefs and subjective nbormss of tourists; (2) The ability to control, beliefs and subjective norms strongly influence the visitor's experience. Theoretical implications and pratical implications are discussed based on the research findings, then future research are suggested.
Metformin may improve the outcome of patients with breast cancer and type 2 diabetes mellitus through the effect of tumor immune microenvironment.
Authors: Shiba Satomi , Kitayama Joji , Harao Michiko , Saito Akira , Sakuragi Masako , Lefor Alan Kawarai , Sata Naohiro 
Published: August 2023

Abstract
The antidiabetic drug metformin has antitumor effects. We examined the outcome of 177 patients with type 2 diabetes mellitus who received surgery for breast cancer. Among them, 49 patients were treated with metformin. In those patients, recurrence in distant organs was less frequent and postoperative disease-free survival tended to be better than in those without metformin intake. In patients who received preoperative systemic therapy, the rate of pathologic complete response was higher in patients who were also treated with metformin (P < 0.05). Multiplex immunohistochemical staining of resected tumors revealed that the density of tumor-associated macrophages (TAMs), especially of CD68(+)CD163(+) M2-type TAMs, was lower in tumors treated with metformin. In contrast, the rate of the CD8(+) phenotype among CD3(+) tumor-infiltrating lymphocytes was higher in the metformin-treated group. The results suggest that metformin can change the immune microenvironment from a protumorigenic to an antitumorigenic status, thus supporting a favorable outcome in patients with breast cancer and type 2 diabetes mellitus.
Association Between Pulp Stone and Mediterranean Diet: A Clinical and Radiographic Study
Authors: Bagci Nuray , Yakuboğlu Seda Kan , Pamukcu Umut , Toraman Meryem 
Published: August 2023

Abstract
Objectives
The present study aimed to investigate the potential association between pulp stone and the Mediterranean Diet (MedDiet).
Material and Method:
In the study, systemically healthy patients aged 18 years and over were participated. Clinical and radiological examinations of the patients were performed. The patients were classified into 2 groups as study/control group according to presence/absent of pulp stone. The jaw, type, and number of the teeth affected by pulp stone were recorded, in study group. 14-questions of Mediterranean Diet Adherence Scale (MEDAS) were asked to all patients. The MEDAS score and adherence (low, medium, and high) to the MedDiet of the patients were determined. Data from the 2 groups were recorded, and a statistical analysis was performed.
Results
A total of 212 participants (study group = 105; control group = 107) were included. In the study group, the number female (n = 94, 89.5%) was greater than the number of male (n = 11, 10.4%). The teeth with pulp stone were mostly the maxillary first molars (9.0%). The MEDAS score and adherence to the MedDiet of the patients were statistically significant difference between the groups. MEDAS score and ratio of high adherence to the MedDiet of the study group was higher than the control group (p = 0.000).
Conclusion
The MEDAS score and adherence to the MedDiet were found to be significantly different between the study group and the control group.
Clinical Relevance:
Nutritional habits can be considered in pulp stone etiology. The present study findings can be used as references for further studies.
Development and Validation of Two Domain-Specific Information Privacy Competency Models
Authors: Soumelidou Aikaterini , Tsohou Aggeliki 
Published: August 2023

Abstract
The purpose of this paper is to present and validate two domain-specific information privacy competency models (IPCMs); the first for online consumers and the second for users of mobile applications (apps), which were developed conceptually by the authors. For the validation of the proposed competency models, we conducted qualitative research, using interviews to collect feedback by a group of nine information privacy experts. The development of the domain specific IPCMs demonstrated that core privacy competencies are pervasive to the two domains that we studied, but also that there are privacy competencies that are especially required per domain of activity. Regarding the evaluation, the experts commented largely positively for the structure and content of the IPCMs, as well as for the extent to which they achieve the intended goals. They also provided several points for improvements, which resulted in enhancing the quality of both IPCMs. This is the first study to examine the privacy competencies that users of specific technological contexts should hold. The IPCMs can be used not only by educators and privacy policy makers for the design of privacy interventions, but also by e-commerce and mobile-apps providers, who could gain important insights into the way that they can be more reliable for their users. Both consumers and users of mobile-apps could benefit from IPCMs by acquiring the necessary privacy competencies through training programs for the protection of their information privacy.