bluuebunny/crossref_metadata_2025_split huggingface dataset:
Orthogonal dual-soliton in a fiber microresonator for force sensing
Authors: Yao Baicheng , Qin Chenye , Du Junting , Jia Kunpeng , Wu Caihao , Chang Bing , Guo Yanhong , Tan Teng , Huang Shu-Wei , Geng Yong , Zhou Heng , Zhu Shining , Rao Yun-Jiang , Xie Zhenda 
Published: June 2022

Abstract
Soliton frequency combs generated in microresonators offer powerful tools for optical metrology, due to its high time-frequency resolution. Here, via exciting the intracavity Brillouin laser in a high Q monolithic fiber resonator, we generate a pair of orthogonal Kerr soliton combs, which share the same repetition (≈ 1 GHz) but different central wavelengths (≈ 10 GHz). Difference of their carrier-envelope-offset frequencies (Δfceo) is determined by the Brillouin-resonance overlap spectrally. We find that beat notes of the Δfceo is mechanically sensitive to external force, demonstrating a high sensitivity 0.3 kHz/µN, with a linear measurement range up to 7.3 mN. Leveraging the noise-filtering and lock-in heterodyne measurement, we obtain a detect limit down to 520 pN. This work reveals a novel paradigm of dual-soliton microcomb multiplexing pumped by one single laser, and combines the ultrahigh resolution dual-comb strategy and fiber sensor technology. It may open a way towards the realization of versatile and powerful microcomb based sensors with simple structure, which could be widely attractive in precision measurements such as high precision gyroscope, mechanical tracing, and material science examination.
Predictors of persistent pulmonary hypertension of the newborn in D-transposition of the great arteries: experiences at Songklanagarind Hospital, Songkhla
Authors: Wongwaitaweewong Kanjarut , Roymanee Supaporn , Jarutach Jirayut , Buntharikpornpun Rujira 
Published: June 2022

Abstract
Transposition of the great arteries (TGA) with persistent pulmonary hypertension has high preoperative mortality. We aimed to define the predictive factors for persistent pulmonary hypertension of the newborn (PPHN) in TGA by comparing patients with TGA with and without PPHN in this retrospective cohort study, which recruited patients with TGA admitted to the hospital. Demographic and clinical information, and mortality, were compared between the two groups. Eighty-four neonates were diagnosed with TGA. The majority were boys (70.2%). The median birth weight was 3,095 g (IQR 2807-3425 g). The oxygen index (OI) was 18.2 ± 11.7. Seventy patients (83.3%) presented with TGA with an intact ventricular septum (IVS). TGA with PPHN occurred in 19% (16 of 84 patients) and 15 were the TGA with IVS type. The severity of PPHN was mild to moderate in 87.5% and severe in 12.5%. Multivariate analysis, comparing the two groups, showed that a higher OI (>21) and vasoactive-inotropic score (VIS) (>50) were associated with an increased odds ratio (OR) for TGA/PPHN (OR: 45.9, 95% CI: 8.9-236.38, P=0.003; OR: 61, 95% CI: 11.4-325.8, P=0.004), respectively. The combination of TGA and PPHN has an increased risk of preoperative mortality despite successful balloon atrial septostomy for adequate mixing and optimal ventilator support. However, the development of PPHN in TGA requires aggressive PPHN treatment strategies, and can be predicted, based on our results, by a VIS >50 and OI >21.
Artificial Intelligence for Insurance Industry: A Survey
Authors: Isa Umar A. , Fernando Anil , Fernando TGI 
Published: June 2022

Abstract

The cost of insurance is rising all over the world, with frequent proposed policies and fraud playing a role. In recent years, AI techniques have been increasingly used for numerous insurance tasks. However, AI researchers frequently struggle technically to understand the vast and sophisticated domain knowledge as well as rapidly changing literature. Although several studies have already been published on the use of artificial intelligence in the context of specific insurance tasks, our work provides a unified general survey of the existing literature, incorporating various AI techniques into all major insurance tasks by providing a systematic literature survey of the rapidly growing literature on artificial intelligence in the insurance industry. From 2017 to the present, we focus our research on machine learning, big data, blockchain, data mining, chatbot theory, and its application in fraud detection, insurance policy, claim prediction, rick prediction, and other areas to systematically introduce existing work in the insurance sector using AI techniques.
The ultra-spatial resolution power microscopy beyond the Rayleigh diffraction limit using the Laser propagating through an optical fiber
Authors: tan weihan , zhao chaoying 
Published: June 2022

Abstract
In this paper, we use the Laser propagating through an optical fiber to achieve a multi-photons ultra-spatial resolution power microscopy beyond the Rayleigh diffraction limit. The uncertainty principle for multi-photons satisfies\(\frac{ \varDelta x}{n}n\varDelta {p}_{x}\ge \hslash ,\frac{\varDelta y}{n}n\varDelta {p}_{y}\ge \hslash\). The Rayleigh criterion becomes to\(0.61\lambda /n\tilde{n}\text{sin}[\theta ]\), furthermore, spatial resolving power will be improved as much as \(n\)times.
Widespread synchronous decline in a Mediterranean forest driven by accelerated aridity
Authors: Miranda Alejandro , Ovalle Juan , Syphard Alexandra , Berdugo Miguel , Carrasco Jaime , Mentler Rayen , Squeo Francisco , Delpiano Cristian , Vargas Solange , Miranda Marcelo , Dobbs Cynnamon , Gómez-González Susana , Lara Antonio , Garreaud Rene D. 
Published: June 2022

Abstract
Ecosystem collapse in direct response to climate change is a critical but poorly documented phenomenon. By assessing the climate context and productivity trends in Mediterranean ecosystems worldwide, we found a large-scale, abrupt forest decline in Chile (>90% in <100 days) as response to a sustained, acute drought unprecedented in the recent history of Mediterranean-type ecosystems. These extreme conditions were projected for 2070-2090, suggesting that climate change impacts are accelerating.
Interference Patterns Within a Circular Boundary
Authors: Korula Aswan 
Published: June 2022

Abstract
In this paper we conduct a simple experiment wherein we create a wave within a circular container and analyse the interference patterns generated by the reflections from the boundary. In doing so we observe constructive interference in positions where our current wave theory predicts noise. This peculiar result demonstrates that in the particular situation presented here, the velocities of a wave before and after reflection from a solid boundary, are unequal.
Evidence of Exhausted Lymphocytes after the Third anti-SARS-CoV-2 Vaccine Dose in Cancer Patients
Authors: Fuentes Javier David Benitez , Mohamed Kauzar Mohamed , Aguilar Alicia de Luna , García Carlos Jiménez , Guevara-Hoyer Kissy , Fernández-Arquero Miguel , Peña M Antonia Rodríguez de la , Bravo Laura García , Ortega Alejandro Francisco Jiménez , Navarro Paloma Flores , Arcilla Jorge Bartolome , Arenilla Bárbara Alonso , Muñoz Elvira Baos , García-Campero Alberto Delgado-Iribarren , Sanz María Montealegre , Sánchez-Ramón Silvia , Segura Pedro Perez 
Published: June 2022

Abstract

Evidence is scant regarding the long-term humoral and cellular responses triggered by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccines in cancer patients after repeated booster doses. The possibility of T-cell exhaustion following these booster doses in this population has not yet been fully studied and remains uncertain. In this observational study, we explored the specific humoral and cellular response to S1 antigen in 36 patients with solid malignancies at baseline, and after the second and third doses of the mRNA-1273 vaccine. A dual behavior was observed: 24 (66.7%) patients showed partial specific IFN-γ response after the second dose that was further enhanced after the third dose; and 11 (30.5%) already showed an optimal response after the second dose and experienced a marked fall-off of specific IFN-γ production after the third (4 patients negativization), which might suggest T cell exhaustion due to repetitive priming to the same antigen. One (2.8%) patient had persistently negative responses after all three doses. Seroconversion occurred in all patients after the second dose. We then studied circulating exhausted CD8 + T-cells in 4 patients from each of the two response patterns, those with increase and those with decrease in cellular response after the third booster. The patients with decreased cellular response after the booster had a higher expression of CD57hiPD1hiCD8+ and CD57intPD1hiCD8+ exhausted T cells compared with those with an increased cellular response both in vivo and in vitro. Our preliminary data show that the two-dose SARS-CoV-2 vaccine regimen was beneficial in all cancer patients. An additional booster seems to be beneficial in non-optimal cancer responders to SARS-CoV-2 vaccines, in contrast to maximal responders that might develop exhaustion. Our data should be interpreted with caution given the small sample size and highlight the urgent need to validate our results in other independent and larger cohorts. Altogether, our data support the relevance of immunological functional studies to personalize preventive and treatment decisions in cancer patients.
Agricultural Pesticides used by small-scale farmers in Kenya: What are the experiences of the farmers?
Authors: Soko Jeketule Jacob 
Published: June 2022

Abstract
Several crops are grown in Kenya for commercial and subsistence purposes. However, pests have become a major threat to crops. To address this, farmers use different kinds of pesticides. While it is a fact that pesticides are heavily used, there is scanty literature on the nature and types of pesticides used by small-scale farmers in Kenya. Further, the extent to which the integrated pest management plan is used is not known. Therefore, this survey sought to explore major crops grown in Kenya, pests affecting them, the nature of agricultural pesticides used, and finally, the effectiveness of the agricultural pest control methods used by small-scale farmers. This was a descriptive study. 95 respondents from different counties in Kenya participated in this study. A self-administered questionnaire comprised of open-ended and close-ended questions was used in data collection. The studies revealed that farmers practiced subsistence farming. Major pests affecting crops were insects and rodents. Pests majorly affected crops while they were on the farm. Most of the agricultural pesticides used by the respondents were insecticides and rodenticides. The study established that artificial pesticides are more effective and most preferred than home-made pesticides. It recommends the adoption of integrated pest management, organic farming, and communal approaches to pest control. It further recommends training on best practices of agriculture.
Recent Research Topic Detection and Analysis using IFCM
Authors: Krishnan Keerthi 
Published: June 2022

Abstract
Computational geometry has become one of the most important technologies in computer science domain. To assist decision makers establish action plans based on computational geometry, it is an emergency task to analyze recent topic in computational geometry technology. Moreover, existing methods not concentrate to identify the recent topic in computational geometry topic. Hence, in this paper, improved fuzzy c means clustering is developed to identify the recent topic from the computational geometry. The fuzzy c means clustering is utilized to identify the topics from the collated resources. The fuzzy c means clustering process can be improved with the help of mayfly algorithm to find optimal membership index value. The proposed approach is a combination of word to vector and clustering approach. This proposed approach is to perform an annual trend analysis in computational geometry. The proposed method is implemented in MATLAB and performances are analyzed with statistical measurements such as accuracy, precision, recall, specificity and F_Measure respectively. The proposed method is compared with the existing methods such as K nearest neighbor (KNN), Fuzzy c means clustering with Particle Swarm Optimization (FCM-PSO) and Fuzzy c means clustering with Firefly Algorithm (FA) respectively.
Insights of Security Approach on Payment System using Blockchain
Authors: N Chitra Kiran 
Published: June 2022

Abstract
Blockchain-based crypto currencies have recently attracted a lot of attention due to their potential uses in a variety of fields. One of these applications is the IoT area, which can use crypto currencies for micropayments without losing their payment privacy. However, the popularity of crypto currency-based micropayments is hampered by long transaction confirmation times and relatively high costs. Payment channel networks are one of the proposed methods to overcome these issues, in which nodes create payment channels without publishing to the blockchain. As long as IoT devices can sustain their overhead, they can benefit from such payment networks. When it comes to the routing difficulty, payment channel networks have their own set of characteristics. They should, in particular, maintain a balanced network in order to continue payments for extended periods of time, which is critical for IoT devices once they are installed. In this study, This paper offer a payment channel network design that uses a common weight strategy across the network to maintain the channels balanced. For unbalanced payment scenarios, we also recommend establishing multipoint connections to nodes for each IoT device. In comparison to the minimal fee approach, the experiment results suggest that keep the network channels more evenly balanced. Furthermore, various connections from IoT devices to the nodes enhance the success ratio significantly.
Provable Secure Escrow-Free Identity-Based Signature Scheme for Smart City Environment
Authors: Kumar Mahender , Chand Satish 
Published: June 2022

Abstract
Smart city is a concept of digitalizing the ecosystem to solve many urban area issues such as crime reduction, transportation, waste management, and governance. However, the security and threat-related issues are still neglected. This paper presents a secure smart city framework using an identity-based signature (IBS) scheme. It is challenging to employ IBS for a smart city (a large network size) due to its key escrow nature. So, we first proposed an identity-based signature scheme that mitigates the trust on a single private key generator (PKG) by employing multiple authorities to preserve the privacy of user’s private key via threshold cryptography. The system also offloads the key protection overhead to the multiple edge gateway, making the system as efficient as the generic IBS. We demonstrate the proposed scheme is secured against the following required attacks: forgeable attack, user slander attacks, and key abusing attacks assuming the computational Diffie-Hellman problem (CDHP) in the random oracle model (ROM). Additionally, the proposed system allows the recipient to verify multiple message-signature pairs at the least cost. The performance analysis determines the optimal signature size and least computational cost compared to related systems making the proposed system suitable for implementing a secure smart city.
Cooperación internacional y agricultura urbana: incidencia en la seguridad alimentaria de poblaciones vulnerables de Cartagena
Authors: Hernandez Cotta Ana Milena , Turizo Arrieta Carolina , Romero Cevallos Marco 
Published: June 2022

Este artículo presenta los resultados de una investigación cualitativa realizada entre los meses de enero a mayo de 2021, utilizando la metodología de estudio de casos, para analizar el funcionamiento de los proyectos de Cooperación Internacional para el Desarrollo, orientados a la Seguridad Alimentaria, a través de la agricultura urbana, con población de áreas vulnerables de la ciudad de Cartagena de Indias - Colombia, financiado por una ONG Suiza, en el período 2015-2019 e implementado por una ONG colombiana.
Los resultados del proyecto objeto de estudio, ayudan a precisar el rol de la Cooperación Internacional para el Desarrollo (CID), el estado de la Seguridad Alimentaria y Nutricional (SAN), las características de la agricultura urbana (AU), el contexto socioeconómico local, la participación social, así como las fortalezas, dificultades y recomendaciones para la CID, reconociendo los factores de éxito del proyecto y la necesidad de asegurar que permanezca en el tiempo su dimensión de un mayor acceso a la SAN.
Palabras clave: cooperación internacional; seguridad alimentaria; agricultura; población urbana; participación social.

Los resultados precisan el rol de la CID, el estado de la seguridad alimentaria, las características de la agricultura urbana, el contexto socioeconómico, el enfoque de género, la participación de los agricultores, así como las fortalezas, dificultades y recomendaciones a la CID, reconociendo los factores de éxito del proyecto y la necesidad de permanencia en el tiempo de la dimensión acceso, con posible riesgo para la seguridad alimentaria de poblaciones vulnerables.
Two integrated conceptual–wavelet-based data-driven model approaches for daily rainfall–runoff modelling
Authors: Sezen Cenk , Partal Turgay 
Published: June 2022

Abstract
Rainfall–runoff modelling is crucial for enhancing the effectiveness and sustainability of water resources. Conceptual models can have difficulties, such as coping with nonlinearity and needing more data, whereas data-driven models can be deprived of reflecting the physical process of the basin. In this regard, two hybrid model approaches, namely Génie Rural à 4 paramètres Journalier (GR4 J)–wavelet-based data-driven models (i.e., wavelet-based genetic algorithm–artificial neural network (WGANN); GR4 J–WGANN1 and GR4 J–WGANN2), were implemented to improve daily rainfall–runoff modelling. The novel GR4 J–WGANN1 hybrid model includes the outflow (QR) and direct flow (QD) obtained from the GR4 J model, and the GR4 J–WGANN2 hybrid model includes the soil moisture index (SMI) obtained from the GR4 J model as input data. In hybrid models, wavelet analysis and the Boruta algorithm were implemented to decompose input data and select wavelet components. Four gauging stations in the Eastern Black Sea and Kızılırmak basins in Turkey were used to observe modelling performance. The GR4 J model exhibited poor performance for extreme flow forecasting. The novel GR4 J–WGANN1 approach performed better than the GR4 J–WGANN2 model, and the hybrid models improved modelling performance up to 40% compared to the GR4 J model. In this regard, integrated conceptual–wavelet-based data-driven models can be useful for improving the conceptual model performance, especially regarding extreme flow forecasting.
Exploring climate change trends in major river basins and its impact on the riverine ecology, fish catch and fisheries of the Peninsular region of India: Issues and a brief overview
Authors: Panikkar Preetha , Sarkar Uttam Kumar , Das Basanta Kumar 
Published: June 2022

Abstract
Riverine fisheries will have a knock-on effect due to the changes in water flow and increased irrigation in the agriculture sector to cope with the climate change impact. The present study showed a very high perception existing in the fishing community about climate change observed in the last 10 years. About 95% of fishermen understand temperature and sea levels are changing, whereas 91% responded that rainfall is changing and salinity also is increasing and 86% think extreme rainfall is affecting productivity. Moreover, though the monsoon period is shorter than the non-monsoon period, about 62.3% of the total fish catch in River Cauvery takes place during the monsoon. The variations in climate can enormously impact the inland fisheries, especially the riverine resources, their productivity and sustainability. With this view, it was attempted to: (i) investigate the changing climate trends in the major river basins of the Peninsular region of India over the decades, (ii) key drivers and its implication on the fish catch, biodiversity, inland fisheries, (iii) analyse the perception of the fishermen and (iv) suggest appropriate strategies like the development of climate-smart villages and waterbodies for livelihood and sustainable utilization of the invaluable biological resources.
Addition of Camellia sinensis extract to water to disinfect respiratory viruses accumulated over different surfaces
Authors: Abd-ElShafy Dina Nadeem , Nadeem Rola , Bahgat Mahmoud Mohamed 
Published: June 2022

Abstract
New precautions have become part of our daily life since COVID-19 pandemic such as wearing masks, maintaining distance and disinfecting products bought from markets before using them which is exhausting. We aimed to test the inhibitory effect of Camellia sinensis (black tea) water extracts on respiratory viruses and the inhibition of viruses accumulated over different surface types after being soaked in water supplemented with the extracts. Two water extraction methods (extract A: maceration at 80 °C for 30 min and extract B: boiling for 40 min) were applied; extracts were analyzed by high-performance liquid chromatography to detect polyphenolic compounds. Results showed that 200 μg/ml of extract A and 50 μg/ml of extract B in water caused 100% inhibition of influenza A (enveloped virus) virus after 1.5 h and similar results were obtained for adenovirus (non-enveloped virus) but at the same concentration of extract A and at 100 μg/ml of extract B. Different surfaces (aluminum, glass, plastic or carton, vegetables of smooth (tomato) or rough (lemon) surfaces and green leaves) were inoculated with both viruses for 20 min and then soaked in the water supplemented with 200 μg/ml of extract A or 100 μg/ml of extract B for 1.5 h, and this resulted in complete inhibition of both viruses.
DESAIN DAN ANALISIS NUMERIK RUANG BAKAR BRIKET SAMPAH ANORGANIK UNTUK PENGAPLIKASIAN PADA MIKROTURBIN GAS
Authors: Pane Erlanda A , Prasetyo Eko , Hermawan Rudi , Gouwin David H 
Published: June 2022

The utilization of briquettes as a source of electricity generation is still low due to the briquette characteristics that have high moisture content. This research analyzes the briquette's potential as a source of electrical energy by utilizing its syngas with microturbine gas. The high quality of syngas can be reached by the optimal combustion chamber design. Therefore, the research aim is to be able to design the optimum combustion chamber for the briquette combustion process to generate the syngas. This research method uses two steps, i.e., the design of the combustion chamber and numerical analysis of the briquette combustion process through Computational Fluid Dynamics (CFD) simulations. Numerical analysis of the combustion process using three types of briquettes with different inorganic waste compositions, i.e., K1 type, K2 type, and K3 type. The research results explain the optimum design of the combustion chamber with a total length dimension of 220 mm, an inlet fuel section, and combustion chamber-syngas pipeline diameter of 50 mm and 75 mm, respectively. In addition, the dimensions of the primary air holes are 7 mm, and the secondary air holes are 5 mm. Type K1 briquettes are capable of producing syngas (kg/s) consisting of 6.9x10-13 CO, 3.04x10-31 H2, and 1.8x10-20 CH4. That syngas composition includes in the criteria of syngas in the microturbines gas that produce electric power of 2.3-2.5 kW. The conclusions explain that the combustion chamber can be added to the microturbine gas component, and K1 type briquette can be a solid fuel.