Miracle-dz/UniFAR-FTUs huggingface dataset:
AN ASSET VALUE EVALUATION FOR DOCKING FINANCE LEASE PROBLEMS IN THE PEER-TO-PEER PLATFORM

The convenience and rapidity of financial leasing modes in the peer-to-peer (P2P) platform enable small and medium-sized enterprises (SMEs) to solve financing problems. The core of risk management in the P2P platform is to improve the quality of the docking assets. Therefore, the purpose of this paper is to establish a financial leasing value model of debt cession with an optimal economic pattern and an analysis of the risk assessment to improve the management of the asset value docking quality of both parties. For the transaction price of the leased assets in a P2P platform, this paper establishes multi-periodic, continuous, and variable models of the leased assets value evaluation, taking rent, lease term, and interest as independent variables. The paper proves that the price of the leased assets is related to the interest force, the rent per period, and the numbers of payments and changes in rent when other factors remain unchanged. Our results prove that the risk of the P2P platform docking finance lease and the transfer of the creditor’s rights investment mode are low. The proposed scheme is verified through hypothesis testing and model simulation. When the lease term is longer and the interest rate is higher, the difference between the two function surfaces is larger. Thus, the business model of financial leasing in the P2P platform has more obvious business advantages. It provides better business macro direction and business micro-management guidance for the leasing industry, P2P platforms and financial leasing companies.
Machine Learning en la detección de fraudes de comercio electrónico aplicado a los servicios bancarios

Uno de los principales riesgos a los que están sometidas las entidades financieras son los ataques de fraudes electrónicos. Billones de dólares en pérdidas son absorbidas cada año por las entidades financieras debido a transacciones fraudulentas. Este artículo plantea un modelo que considera los principales retos en el diseño de un sistema de detección de fraudes : a) clases altamente desequilibradas, b) distribución de estacionaria de los datos y c) la incorporación en línea de la retroalimentación de los investigadores de fraude ante las transacciones etiquetadas como sospechosas. La implementación del modelo en un conjunto de datos de prueba permitió predecir exitosamente la mayoría de casos de transacciones fraudulentas con un mínimo porcentaje de falsos negativos.
Children’s Psychological Affect on Their Daily Life in Private Welfare Institutions (Keadaan Psikologikal Kanak-Kanak dalam Kehidupan Harian di Pusat Kebajikan Persendirian)

Children who are separated from their biological families have an unusual life experience compared to their counterparts residing with their biological families. This paper describes children’s psychological affect by measuring their self-expression based on their daily experiences in welfare institutions. A total of 163 children in four private children’s homes completed the Malay version of the Scale of Positive and Negative Experience (SPANE) developed by Ed Diener and Robert Biswas-Diener (2009). The results show that more than half of the children (60.1%) had high levels of positive expression, while 63.2 percent recorded intermediate levels of negative expression. In total, only 30.1 percent of the children had high affect balance. Independent sample t-test shows that male children had significant positive expression and higher affect balance compared to their female counterparts. Female children had higher negative expression than male children. Correlation analyses show that no significant relationships can be established between self-expression and the factors of age and length of stay at the private welfare institutions. Analysis of Covariance (ANCOVA) indicates that there was a significant difference in mean affect balance between male and female children while adjusting age and length of stay. This implies that gender is an important factor in the positive expression of children in out-of-home care. Any efforts to help the children feel positive about their living experience should begin by considering their gender.
The effect of Instagram addiction on quality of life among undergraduate students in Mysuru

Instagram is a booming social media platform where members can share photographs and videos over the internet. There have been individuals who have been using social media platform pathologically and this has affected over their mental health such as depression, anxiety and stress which has led to poor levels of quality of life. Since there has not been many studies done on Instagram addiction, this study focuses on undergraduates and the influence of Instagram addiction on their quality of life. This study included 162 subjects from the various disciplines of Arts, Science and Commerce. The age of the students varied from 17 to 26. The Test for Instagram Addiction (TIA) and WHOQOL-BREF was used in this study. Chi-sqaure tests and Pearson’s product moment correlations were applied for data analysis. Results revealed that an alarming 27.8% of the students were addict prone and definitely addicted to Instagram It was also found that students who were studying in commerce/management course were more addicted to Instagram than students pursuing Arts and Science courses. From the results we find that the rate of students getting addicted to Instagram are only increasing and it is having limited influence over Quality of life of the students.
Rapid synthesis of thin amorphous carbon films by sugar dehydration and dispersion

We have prepared amorphous carbon films with variable thicknesses down to 0.0213 O 0.4563 . After brief annealing under 10% H 2 in argon at 800 °C, the film has a high optical contrast and increased conductivity, with a chemical makeup of CO 0.0828 , suggesting that the material has at least short-range graphitic order. We repeat the experiment with chitosan replacing glucose and show using Raman spectroscopy and X-ray photoelectron spectroscopy (XPS) that it is likely that nitrogen incorporates into the graphitic lattice.
Towards automating construction tasks: Large‐scale object mapping, segmentation, and manipulation

Automating building processes through robotic systems has the potential to address the need for safer, more efficient, and sustainable construction operations. While ongoing research effort often targets the use of prefabricated materials in controlled environments, here we focus on utilizing objects found on‐site, such as irregularly shaped rocks and rubble, as a way of enabling novel types of construction in remote and extreme environments, where standard building materials might not be easily accessible. In this article, we present a perception and grasp pose planning pipeline for autonomous manipulation of objects of interest with a robotic walking excavator. The system incrementally builds a LiDAR‐based map of the robot's surroundings and provides the ability to register externally reconstructed point clouds of the scene, for example, from images captured by a drone‐borne camera, which helps increasing map coverage. In addition, object‐like instances, such as stones, are segmented out of this map. Based on this information, collision‐free grasping poses for the robotic manipulator are planned to enable picking and placing of these objects, while keeping track of them during the manipulation. The approach is validated in a real setting on an architectural relevant scale by segmenting and manipulating boulders of several hundred kilograms, which is a first step towards the full automation of dry‐stack wall building processes. Video – https://youtu.be/4bc5n2-zj3Q
Pricing Hurricane Bonds Using a Physically Based Option Pricing Approach

Hurricane bonds are unique in that they are structured with a dual exercise condition: a physically based condition that the underlying hurricane makes landfall at a prespecified location, and a standard moneyness condition that they end in the money. As the time of landfall is uncertain, their maturities are also uniquely random. This research thus proposes a modeling methodology to solve this option-pricing problem—that is, to price hurricane bonds at the nexus of atmospheric science and finance by integrating hurricane risk modeling and option pricing modeling. We resolve this dual exercise/random maturity issue by implementing a coupled hurricane generator to simulate hurricane synthetic tracks, intensity, radius, two-dimensional wind fields, and hurricane-index value evolution along the tracks. We price the increasingly popular parametric and parametric-index hurricane bonds by Monte Carlo simulations, as the underlying hurricane indices are untraded and thus replication pricing is not viable.
Automated Confirmation of Protein Annotation Using NLP and the UniProtKB Database

Advances in genome sequencing technology and computing power have brought about the explosive growth of sequenced genomes in public repositories with a concomitant increase in annotation errors. Many protein sequences are annotated using computational analysis rather than experimental verification, leading to inaccuracies in annotation. Confirmation of existing protein annotations is urgently needed before misannotation becomes even more prevalent due to error propagation. In this work we present a novel approach for automatically confirming the existence of manually curated information with experimental evidence of protein annotation. Our ensemble learning method uses a combination of recurrent convolutional neural network, logistic regression, and support vector machine models. Natural language processing in the form of word embeddings is used with journal publication titles retrieved from the UniProtKB database. Importantly, we use recall as our most significant metric to ensure the maximum number of verifications possible; results are reported to a human curator for confirmation. Our ensemble model achieves 91.25% recall, 71.26% accuracy, 65.19% precision, and an F1 score of 76.05% and outperforms the Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT) model with fine-tuning using the same data.
Prevalence of oral potentially malignant disorders among adult population: A retrospective study

Oral potentially malignant disorders refer to both the precancerous lesions and precancerous conditions of the oral cavity. They possess the risk of cancer development in the oral cavity. Precancerous lesions and conditions are associated with various causative factors such as smoking, smokeless forms of tobacco etc. Early detection of oral, potentially malignant disorders can reduce the risk of development into oral cancer. Therefore, the purpose of this study is to find out the prevalence of oral, potentially malignant disorders among the adult population. The records were obtained through DIAS. This study included histopathological proven oral, potentially malignant disorder. The age, gender, smoking habits, systemic diseases, clinical sites of the oral potentially malignant disorders were noted. The mean age group of the patients who were involved in this study was 44.37. The prevalence of oral, potentially malignant disorders was higher in males [66.7%] compared to females [33.3%]. When assessed for the habits associated with the patients having oral potentially malignant disorders, the smokeless tobacco forms were higher in prevalence [31.1%]. 51.1% of the patients were found to be without any habits. The most common site involved was buccal mucosa [88.9%]. The systemic diseases were absent in most of the patients [82.2%]. The highest prevalence of oral potentially malignant disorder was found to be as Lichen planus of 33.3%. Within the limits of this study, the most common oral potentially malignant disorders were found to be Lichen planus according to this population studied. However, previous studies report that the prevalence of oral potentially malignant disorders differs among different populations.
‘Transdisciplinarity’: A Framework of Knowledge Production in North-South Partnerships?

This issue of ASEAS brings together different articles reflecting and discussing scientifically, as well as more practically, challenges faced during the implementation of a capacity-building project on transdisciplinarity. The papers are the outcome of a common endeavor that was undertaken between 2016 and 2019 by universities from Southeast Asia and Europe in the context of the Erasmus+ Capacity Building in Higher Education program funded by the European Union. The project Fostering Multi-lateral Knowledge Networks of Transdisciplinary Studies to Tackle Global Challenges (KNOTS)1 and its implementation process, as well as conflicts, discussions and transformations that occurred during the various capacity-building activities on transdisciplinarity, will be discussed in the papers from different perspectives and with different foci. Taking transdisciplinarity as a departure for capacity-building activities and collaborations in the course of the KNOTS project was a response to trends and challenges in world development requiring new frameworks of knowledge production. All the participating institutes and universities in Vietnam, Thailand, Germany, the Czech Republic, and Austria saw the necessity to rethink what knowledge is and how research is done. All participating institutes and their members had either social science or humanities backgrounds and were working in interdisciplinary or disciplinary contexts. Some of the participants and the respective institutes were acquainted with the history and the concepts of transdisciplinarity, while others became familiar with transdisciplinarity only during the project. What all share, especially but not exclusively those coming from development studies, is the realization that the gravity and the scope of global transformations and inequalities due to climate change, migration or capitalist development and their interplay require a new “synthesis of knowledge” (Basile & Baud, 2019, p.11). This synthesis of knowledge not only includes various disciplines and non-academic actors and their knowledge, but especially knowledge, approaches, and contributions from scientists from the so-called Global South, as well as experiential knowledge from practitioners and/or marginalized social groups. It is this knowledge that
Mechanical wounding of leaf midrib and lamina elicits differential biochemical response and mitigates salinity induced damage in tomato

The objective of the study was to evaluate biochemical response to two different types of wounding damage in leaves of tomato (Lycopersicon esculentum Mill.) and also to investigate the influence of pre-wounding on subsequent salt stress exposure. Wounding experiment was performed by small punctures either on the midrib or leaf lamina. Results showed that damage by wounding elicited a rapid increase in H2O2 levels within the first few hours of wound stress. H2O2 levels, total phenolic and flavonoid levels were significantly higher in midrib damage than either the lamina damage or control conditions. Wounding pre-treatment reduced the toxic effects of NaCl stress in plants. Alleviation of salt induced damage was greater in midrib cuts through the stabilization of relative water content and also an increase in antioxidant scavenging activity. These results confirm that wounding pre-treatment induced cross-tolerance to salinity stress in tomato plants. It is suggested that an early and significantly elevated generation of H2O2 with local midrib injury could induce a priming response systemically, thereby providing protection to the subsequent salt stress injury.
Bortezomib ile Kalp Hasarı Oluşturulan Ratlarda Berberinin Oksidatif ve Nitrozatif Stres The Effect of Berberine on Oxidative and Nitrosative Stress in Rats with Bortezomib-Induced Heart

: Bortezomib (BTZ) is a new generation antineoplastic drug that blocks cellular protein degradation by blocking the proteasome system. In this study, the protective effects of berberine (BBR), an isoquinoline alkaloid, against BTZ-induced heart damage were investigated. In the study, male Sprague Dawley rats were given intraperitoneal 0.2 mg kg -1 BTZ on the 1st, 3rd, 5th and 7th days and BBR doses of 50 and 100 mg kg -1 every day for 10 days. In the heart tissues of rats, malondialdehyde (MDA), glutathione (GSH), total antioxidant capacity (TAC), total oxidant capacity (TOC) and nitric oxide (NO) levels and superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and lactate dehydrogenase (LDH) activities were analyzed by biochemical methods. The data showed that BTZ significantly increased MDA, NO and TOC levels in heart tissue, LDH activities in serum and oxidative stress index (OSI), triggered oxidative stress by decreasing GSH and TAC levels and SOD, CAT and GPx activities, thereby causing tissue damage. On the other hand, BBR showed a protective effect against heart damage by relieving oxidative stress and nitrosative stress caused by BTZ. The results showed that the BBR can be used as a protective agent against BTZ-induced cardiac toxicity after further studies.
FITOTERAPIA NO CONTROLE DE PARASITOS GASTRINTESTINAIS DE RUMINANTES: ÊNFASE NO GÊNERO MENTHA E SEUS COMPONENTES BIOATIVOS

Essa revisao apresenta consideracoes acerca da relevância das infeccoes de parasitos gastrintestinais (PGI) em ruminantes, abordando a importância de farmacos antiparasitarios no controle das helmintoses e demais alternativas. Foi realizada uma abordagem conceitual e historica sobre o controle de PGI e o processo de desenvolvimento da resistencia parasitaria. Como alternativa da baixa eficacia de medicamentos, foi feita uma descricao detalhada sobre o uso de oleos essenciais (OE) e de componentes bioativos no controle das PGI em ruminantes. A producao de OE de plantas, passa pela composicao quimica, tecnicas de extracao dos componentes, mecanismo de acao e ensaios para validacao da sua atividade terapeutica, incluindo sua acao anti-helmintica. Este artigo traz, na sua segunda parte, uma descricao detalhada de duas especies do genero Mentha , com foco em sua biologia, composicao quimica e mecanismos de acao de seus OE. Dentro desse topico, as especies Mentha vilosa e M. piperita sao as mais estudadas, bem como os seus componentes majoritarios e bioativos; carvone e limoneno. Ao final do documento, discutimos sobre a tecnica de cromatografia gasosa e espectrometria de massas, que se faz obrigatoria para a identificacao de compostos presentes em OE. Incluimos ainda, o detalhamento sobre tecnologias de nanoemulsao e suas vantagens na confeccao de formulacoes mais estaveis, menos toxicas aos hospedeiros e com potencial de aumentar a eficacia de farmacos contra as PGI, para o desenvolvimento de novos compostos fitoterapicos ecosustentaveis.
Biochemical defense responses of tolerant and susceptible lettuce accessions following infection by Sclerotinia sclerotiorum

Abstract Sclerotinia sclerotiorum is one of the most destructive lettuce diseases, restricting lettuce cultivation globally. Here, we measured the activity of three antioxidant enzymes in two contrastingly responding lettuce accessions (susceptible ML1 and tolerant Jah accessions) challenged by S. sclerotiorum. These enzymes included superoxide dismutase (SOD), glutathione peroxidase (GPx), and catalase (CAT). Moreover, we applied the 2,2-diphenylpicrylhydrazyl (DPPH) method and the malondialdehyde (MDA) assay. The activities of SOD and GPx were much pronounced in the tolerant accession than in the susceptible one. Our results indicate that MDA concentration increased significantly in the leaves of tolerant accession compared with that of the susceptible one at 1 dpi whereas MDA level was pronounced in the later time points in the susceptible accession compared with tolerant accession. Taken together, we observed that the examined biochemical markers differentially fluctuated in the applied accessions, shedding light to understand better resistance mechanisms involved in restricting this notorious fungal pathogen.
Evaluation and Drivers of Green Agricultural Water Use Efficiency in Yangtze River Economic Zone

The efficient use of agricultural water is the key for Yangtze River Economic Zone (YREZ) to realize ecological green development. Taking the panel data on 11 YREZ regions in 2011-2018 as the object, this paper establishes an evaluation indicator system for green agricultural water use efficiency (GAWUE) containing undesired output, and adopts the epsilon-based measure (EBM) model to evaluate YREZ’s GAWUE. After analyzing the regional differences in YREZ’s GAWUE, the Tobit model was introduced to verify the drivers of GAWUE. The results show that: In the study period, YREZ’s GAWUE exhibits some regional differences. The mean GAWUEs of Shanghai, Jiangsu, Zhejiang, and Sichuan were optimized; those of Guizhou, Yunnan, Chongqing, and Hubei were relatively desirable, leaving a small room for improvement, the mean GAWUEs of Hunan, Jiangxi, and Anhui were undesirable, waiting for major improvement in future. Overall, the lower reaches had the highest GAWUE, followed by the upper reaches, while the middle reaches had the minimum GAWUE. The Tobit model shows that agricultural technological growth (ATG) and agricultural water intensity (AWI) greatly promote GAWUE, while farmer income level (FIL), water resources endowment (WRE), agricultural planting structure (APS), and farmland irrigation area (FIA) significantly suppress GAWUE.
Moisture and Oxygen Enhance Conductivity of LiTFSI‐Doped Spiro‐MeOTAD Hole Transport Layer in Perovskite Solar Cells

DOI: 10.1002/admi.201600117 pinholes with an average diameter of ≈135 nm. These pinholes form channels that wiggle within the spiro-MeOTAD fi lm, and are thought to accelerate diffusion of gas molecules from ambient air (e.g., H 2 O and O 2 ) into the perovskite layer in perovskite-based solar cells. [ 8c ] They also facilitate the outward diffusion of chemical elements/compounds, such as LiTFSI, which is hygroscopic. Therefore, ambient air exposure results in a re-distribution of LiTFSI dopants across the spiro-MeOTAD fi lm. [ 8c ] Efforts have been made to better understand environmental effects on LiTFSI-doped spiro-MeOTAD fi lms. [ 8c , 11b , 12,14 ]
Algoritmo Subida Da Encosta Para Otimização De Parâmetros De Máquinas De Vetores Suportes

Máquinas de Vetores Suporte (SVM) surgiu recentemen te como uma técnica poderosa para resolução de problemas classificação de padrão e regressão, mas seu desempenho depende principalmente da seleção de parâmetros do mesmo. Seleção de parâmetros para SVM é de uma natu rez muito complexa e muito difícil de resolver por meio de técnicas de otimização convencional, ocasionando a restrição de sua aplicação em certo grau. Este artigo apres enta um sistema híbrido para otimização da seleção do parâmetro de regulari zação  do SVM e o parâmetro (gamma) do Kernel RBF utilizando o algoritmo de busca meta-heurística Subida da Encost a e uma versão otimizada do mesmo, onde o processo de busca foi aplicado em uma grade de busca composta por 38 prob lemas de benchmark, contendo o valor de desempenho da c mbinação de 399 parâmetros distintos executados no SVM.