Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of fuel loading pattern of PWR core using PWR-FUEL code

The in-core fuel management of a nuclear power plant is a problem of optimization of core parameters such as operation cycle, average fuel burnup and shut down margin for determining a fuel loading pattern to meet the safety and economic aspects. The study is aimed to obtain an optimal fuel loading pattern. Two models of fuel burn up calculations were taken namely equilibrium and transition cores burn up models. The calculations will be carried out by means of computer codes SRAC2006 for cell calculation and PWR-FUEL for the fuel management. The results of keff values at BOC and EOC for each transition core are approximately 1.05 as the input data and the core cycle length is found to be 330 days. The keff values at both BOC and EOC are very near to critical at equilibrium core and the core cycle length is found 360 days. The results of the calculation of neutron flux distribution and power density using the NODAL and FDM methods of the PWR-FUEL the code has the same results. From the results of the neutronic parameter, it is shown that the optimal loading pattern of PWR core can be determined by the PWR-FUEL code either with equilibrium core search or with transition core burnup models. Key words: fuel loading pattern, PWR-FUEL code, operation safety.The in-core fuel management of a nuclear power plant is a problem of optimization of core parameters such as operation cycle, average fuel burnup and shut down margin for determining a fuel loading pattern to meet the safety and economic aspects. The study is aimed to obtain an optimal fuel loading pattern. Two models of fuel burn up calculations were taken namely equilibrium and transition cores burn up models. The calculations will be carried out by means of computer codes SRAC2006 for cell calculation and PWR-FUEL for the fuel management. The results of keff values at BOC and EOC for each transition core are approximately 1.05 as the input data and the core cycle length is found to be 330 days. The keff values at both BOC and EOC are very near to critical at equilibrium core and the core cycle length is found 360 days. The results of the calculation of neutron flux distribution and power density using the NODAL and FDM methods of the PWR-FUEL the code has the same results. From the results of the neutr.
JAPANESE ENCEPHALITIS, RECENT PERSPECTIVES ON VIRUS GENOME, TRANSMISSION, EPIDEMIOLOGY, DIAGNOSIS AND PROPHYLACTIC INTERVENTIONS

Japanese encephalitis (JE) is an emerging mosquito-borne zoonotic disease caused by Japanese encephalitis virus (JEV). Geographic and ecological factors such as global warming and climate change affect the demographic distribution of arthropod vectors and thereby favour the risk of JE epidemics across the world. It has become a devastating human disease that affects paediatric age group but people of all ages may get an infection. Furthermore, nearly 67,900 JEV incidences are occurring every year in 24 countries of South-East Asia and Western Pacific regions, wherein 10,426 cases were reported only in 2011. Although the mechanism for JEV pathogenesis is imprecise yet, significant scales of differences are professed in peripheral pathogenicity and neurovirulence between JEV strains. In addition to humans, a large number of vertebrate animal hosts viz. cattle, sheep, goat, dog, cat, and chicken get JEV infection. Of the note, birds and pigs serve as effective viraemic hosts and may help in dissemination of the disease in nature. Intervention strategies like vaccination as well as alteration in * Corresponding author
DESIGN AND ANALYSIS OF MICROSTRIP PATCH ANTENNA FOR WLAN AND VEHICULAR COMMUNICATION

This paper presents the design and analysis of a dual-band circularly polarized (CP) microstrip patch antenna for WLAN and vehicular communication applications. In this antenna, an L-shaped slot is cut, and a square parasitic patch with diagonally opposite corners cut is loaded in offset beneath to monopole antenna to realize dual-band CP response with wideband response. The antenna exhibits dual-band CP response at 2.45 GHz (WLAN) and 5.9 GHz (Vehicular) having 20.45% and 15.73% of simulated impedance bandwidth and 6.84% and 14.16% of axial ratio bandwidth for WLAN and Vehicular band, respectively. The measured impedance bandwidth (S11 < −10 dB) is 19.43% and 12.73% for WLAN and vehicular band, respectively. The antenna design is simple and fabricated using an economical glass epoxy FR4 substrate with size of 45 × 40 mm2. The measured results are found in good agreement with simulated results. The proposed antenna is analyzed using transmission line equivalent circuits, and the details are presented and discussed.
A Novel Conductive Core–Shell Particle Based on Liquid Metal for Fabricating Real‐Time Self‐Repairing Flexible Circuits

As a critical part of flexible electronics, flexible circuits inevitably work in a dynamic state, which causes electrical deterioration of brittle conductive materials (i.e., Cu, Ag, ITO). Recently, gallium‐based liquid metal particles (LMPs) with electrical stability and self‐repairing have been studied to replace brittle materials owing to their low modulus and excellent conductivity. However, LMP‐coated Ga2O3 needs to activate by external sintering, which makes it more complicated to fabricate and gives it a larger short‐circuit risk. Core–shell structural particles (Ag@LMPs) that exhibit excellent initial conductivity(8.0 Ω sq−1) without extra sintering are successfully prepared by coating nanosilver on the surface of LMPs through in situ chemical reduction. The critical stress at which rigid Ag shells rupture can be controlled by adjusting the Ag shell thickness so that LM cores with low moduli can release, achieving real‐time self‐repairing (within 200 ms) under external destruction. Furthermore, a flexible circuit utilizing Ag@LMPs is fabricated by screen printing, and exhibits outstanding stability and durability (R/R0 < 1.65 after 10 000 bending cycles in a radius of 0.5 mm) because of the functional core–shell structure. The self‐repairable Ag@LMPs prepared in this study are a candidate filler for flexible circuit design through multiple processing methods.
Characterisation of chiari-like malformation and secondary syringomyelia in selected toy dog breeds using magnetic resonance imaging.

Chiari-like Malformation (CM) and secondary Syringomyelia (SM) is a complex, debilitating abnormality which compromises the normal cerebrospinal fluid movement of the central nervous system culminating in the development of fluid-containing cavities within the spinal cord and associated with behavioural signs of pain and neurological deficits. The prevalence of asymptomatic CM dogs suggest that cerebellar indentation and impaction may be normal anatomical variations and unsuitable as a definition of CM. Magnetic Resonance Imaging (MRI) remains the definitive means of diagnosing CM/SM and a morphometric technique of quantifying CM and SM on mid-sagittal MRI has been successfully applied and validated in previous studies to a cohort of Griffon Bruxellois (GB) dogs with and without CM and a mixed breed GB family crossed with a mesaticephalic breed (Australian Terrier). Using a refined technique which took account of recent research findings, morphometries using a triangulation of circles, lines and angles were used to ‘map’ MRIs of the whole brain and cervical region in order to quantify the severity of the CM and SM phenotype in the Cavalier King Charles (CKCS). A further morphometric analysis was undertaken to explore brachycephaly and miniaturization as risk factors for CM and SM by comparing their impact in the CKCS, Affenpinscher and Chihuahua breeds. The collective framework of lines and angles generated a unique ‘signature’ for the dog, characterised by “concertina” type flexures demonstrating the combined nature of segregated traits towards the severity in the phenotype. Compared to controls, CKCS with CM pain are characterised by increased brachycephaly and airorhynchy, while significant traits for SM in the three dog breeds included those reported for the GB, suggesting a common aetiology. The characterisation of the CM phenotype provides the possibility of a diagnostic tool for veterinarians and means to assist breeders with mate selection to reduce symptomatic prevalence of CM/SM.
Hand-reared wolves show similar, or stronger, attachment toward human caregivers compared to hand-reared dogs

Domesticated animals are generally assumed to display increased sociability towards humans compared to their wild ancestors. Dogs (Canis familiaris) have the ability to form lasting attachment, a social bond based on emotional dependency, with humans and it has specifically been suggested that this ability evolved post-domestication in dogs. Subsequently, it is expected that dogs but not wolves (Canis lupus), can develop attachment bonds to humans. However, while it has been shown that 16-weeks-old wolves do not discriminate in their expression of attachment behaviour toward a human caregiver and a stranger when compared to similar aged dogs, wolves at the age of eight weeks do. This highlights the potential for wolves to form attachment to humans, but simultaneously raises the question if this attachment weakens over time in wolves compared to dogs. Here we used the Strange Situation Test (SST) to investigate attachment behaviour expressed in hand-reared wolves and dogs toward a human caregiver at the age of 23 weeks. Both wolves and dogs expressed attachment toward a human caregiver. Surprisingly, wolves, but not dogs, discriminated between the caregiver and a stranger by exploring the room more in the presence of the caregiver compared to the stranger and greeting the caregiver more than the stranger. Our results thereby suggest that wolves can show attachment toward humans comparable to that of dogs at later developmental stages. Importantly, our results indicate that the ability to form attachment with humans did not occur post-domestication of dogs.
Single-Center Use of Prothrombin Complex Concentrate in Pediatric Patients

Abstract Coagulation disturbances frequently occur in critically ill children. Four-factor prothrombin complex concentrate (4F-PCC) may have a potential role in managing these patients while avoiding concerns associated with fresh frozen plasma. However, data on this product in critically ill children is scarce. We retrospectively identified 24 critically ill pediatric patients who received 4F-PCC. The primary indication was to correct coagulopathy and control bleeding in the trauma or surgical setting. 4F-PCC effectively decreased the international normalized ratio level, a surrogate marker of hemostasis. Further study is warranted to identify efficacy, indications, optimal dosing, and adverse effects in the critically ill pediatric patients.
Unsupervised Online Anomaly Detection With Parameter Adaptation for KPI Abrupt Changes

IT companies need to monitor various Key Performance Indicators (KPIs) and detect anomalies in real time to ensure the quality and reliability of Internet-based services. However, due to the diversity of KPIs, the ambiguity and scarcity of anomalies and the lack of labels, anomaly detection for various KPIs has been a great challenge. Existing KPI anomaly detection methods have not explored the properties of anomalies in KPIs in detail to our best knowledge. Therefore, we explore anomalies in KPIs and recognize a common and important form of anomalies named <italic>abrupt changes</italic>, which often indicate potential failures in the relevant services. For <italic>abrupt changes</italic> in various KPIs, we propose <italic>DDCOL</italic>, an unsupervised online anomaly detection algorithm with parameter adaptation from the perspective of anomalies for the first time. We propose three techniques: high order <inline-formula> <tex-math notation="LaTeX">${D}$ </tex-math></inline-formula>ifference extraction and combination, <inline-formula> <tex-math notation="LaTeX">${D}$ </tex-math></inline-formula>ensity-based <inline-formula> <tex-math notation="LaTeX">${C}$ </tex-math></inline-formula>lustering with parameter adaptation and <inline-formula> <tex-math notation="LaTeX">${O}\text{n}{L}$ </tex-math></inline-formula>ine detection with subsampling (<italic>DDCOL</italic>). Compared with traditional statistical methods and unsupervised learning methods, extensive experimental results and analysis on a large number of public KPIs show the competitive performance of <italic>DDCOL</italic> and the significance of <italic>abrupt changes</italic>. Furthermore, we provide an interpretation for the promising results, which shows that <italic>DDCOL</italic> can be robust to KPI expected concept drifts, and obtain a good feature distribution of normal data in KPIs.
A Machine Learning Approach to the Recognition of Brazilian Atlantic Forest Parrot Species

Avian survey is a time-consuming and challenging task, often being conducted in remote and sometimes inhospitable locations. In this context, the development of automated acoustic landscape monitoring systems for bird survey is essential. We conducted a comparative study between two machine learning methods for the detection and identification of 2 endangered Brazilian bird species from the Psittacidae species, the Amazona brasiliensis and the Amazona vinacea. Specifically, we focus on the identification of these 2 species in an acoustic landscape where similar vocalizations from other Psittacidae species are present. A 3-step approach is presented, composed of signal segmentation and filtering, feature extraction, and classification. In the feature extraction step, the Mel-Frequency Cepstrum Coefficients features were extract and fed to the Random Forest Algorithm and the Multilayer Perceptron for training and classifying acoustic samples. The experiments showed promising results, particularly for the Random Forest algorithm, achieving accuracy of up to 99%. Using a combination of signal segmentation and filtering before the feature extraction steps greatly increased experimental results. Additionally, the results show that the proposed approach is robust and flexible to be adopted in passive acoustic monitoring systems.
Differentiating between machine translation and student translation: red flags and salient lexicogrammatical features.

Machine translation enables students to produce work in the target L2 which may be superior to that which they could produce otherwise. The present study examines whether the use of machine translation can be detected by teachers. Seventeen native teachers compared and assessed the authorship of five human translations (HT) and five machine translations (MT) of Japanese news stories. Finding suggest that native teachers were able to detect which essays had been written using HT and which had been written using MT.
Dp103 in Egyptian Patients with Breast Cancer: Prognosis to Lymph Node Metastasis

Background: Dp103 is a multifunctional protein which binds and unwinds RNA secondary structures, therefore plays a vital role in RNA metabolism from birth to death. Aims: The present study aimed to evaluate both serum levels and tissue expressions of Dp103 and explored their possible roles in lymph node metastasis within breast cancer Egyptian patients. Methodology: Sixty patients were enrolled in this study; they were subdivided into two groups. First group included forty females newly diagnosed as primary breast cancer their age ranged from 26 to 81 and further subdivided in two groups according to lymph node involvement into twenty two patients without metastatic lymph node and eighteen patients with metastatic lymph node. Second group involved twenty females newly diagnosed as benign breast tumor their age ranged from 32 to 65, in addition to eighteen apparently healthy females aged range from 28 to 65 as controls. Serum level of both Dp103 and MMP-9 were determined using ELISA technique. CA 15.3 and Article CEA were determined using available commercial kits. Expression level for both Dp103 and NF-κB were estimated using qPCR. Results: Serum levels of both Dp103 and MMP-9 were significantly higher in primary breast cancer patients when compared to benign tumor and healthy females (p<0.05). As well as, the expression levels of both Dp103 and NF-κB were significantly high in metastatic lymph node when compared to benign tumor and none metastatic lymph node groups (p<0.05). Also, serum levels of both Dp 103 and MMP-9 showed the same pattern of accretion when compared to none metastatic lymph node. Significant positive correlation was found between serum Dp103 in primary breast cancer patients and CA15.3 (r=0.3195 and p= 0.044). Conclusion: Dp103 might be used as a prognostic biomarker for breast cancer progression and metastasis.
Text mining and analysis of treatise on febrile diseases based on natural language processing

Objective: With using natural language processing (NLP) technology to analyze and process the text of “Treatise on Febrile Diseases (TFDs)” for the sake of finding important information, this paper attempts to apply NLP in the field of text mining of traditional Chinese medicine (TCM) literature. Materials and Methods: Based on the Python language, the experiment invoked the NLP toolkit such as Jieba, nltk, gensim, and sklearn library, and combined with Excel and Word software. The text of “TFDs” was sequentially cleaned, segmented, and moved the stopped words, and then implementing word frequency statistics and analysis, keyword extraction, named entity recognition (NER) and other operations, finally calculating text similarity. Results: Jieba can accurately identify the herbal name in “TFDs. ” Word frequency statistics based on the word segmentation found that “warm therapy” is an important treatment of “TFDs. ” Guizhi decoction is the main prescription, and five core decoctions are identified. Keyword extraction based on the term “frequency-inverse document frequency” algorithm is ideal. The accuracy of NER in “TFDs” is about 86%; latent semantic indexing model calculating the similarity, “Understanding of Synopsis of Golden Chamber (SGC)” is much more similar with “SGC” than with “TFDs. ” The results meet expectation. Conclusions: It lays a research foundation for applying NLP to the field of text mining of unstructured TCM literature. With the combination of deep learning technology, NLP as an important branch of artificial intelligence will have broader application prospective in the field of text mining in TCM literature and construction of TCM knowledge graph as well as TCM knowledge services.
The Effect of Positive Psychotherapy on Perceived Competence and Quality of Life Among Children With Thalassemia

Background: Thalassemia is one of the diseases that make people worried about their present and future status and is associated with a wide range of serious psychological and clinical challenges. Like any other chronic disease, thalassemia eﬀects a patient’s psychological state and has adverse eﬀects on mental health of the patient and his/her family. Objectives: Given the psychological problems that patients with thalassemia encounter, the present study aimed at investigating the eﬀect of positive psychotherapy on perceived competence and quality of life among children with thalassemia in Zabul. Methods: Thisquasi-experimentalstudyhadapretest-posttestdesignwithacontrolgroup. Thecurrentstudyhadastatisticalpop-ulationconsistingof allchildrenwiththalassemiainZabul,Iran,duringyear2017. Thesampleincluded30children,selectedusing the convenience sampling method and randomly assigned to 2 groups of experimental and control. Positive psychotherapy was performedfortheexperimentalgroupduring8sessions(2sessionsperweek)withinamonth. Aftercompletingthepsychotherapy sessions, a posttest was carried out and a follow-up was conducted one month later. To collect data, Harter Perceived Competence Scale for Children and KIDSCREEN-Quality of Life Measure for Children and Adolescents were used. Data were analyzed using descriptive and inferential statistics via the SPSS version 16 software. Results: Resultsof theanalysisof covarianceshowedthatduetotheintervention,astheindependentvariable(positivepsychother-apy), thereweresigniﬁcantdiﬀerencesinthescoresof perceivedcompetenceandqualityof life(P< 0.005). Intheposttest, 0.46of thevarianceinperceivedcompetenceand0.77of thevarianceinqualityof life,wereexplainedbytheindependentvariable(positive psychotherapy). Furthermore, in the follow-up, 0.52 of the variance in perceived competence and 0.41 of the variance in quality of life, were explained by the independent variable (positive psychotherapy). Conclusions: Regarding the eﬀectiveness of positive psychotherapy in improving perceived competence and quality of life, spe-cialists working at centers for special diseases are recommended to use positive psychotherapy programs to enhance perceived competence and quality of life among these patients.
Behavioral and Event Related Potential Measures of Response Initiation and Response Inhibition by Age and Sensation Seeking

Sensation seeking, the tendency to seek out novel and stimulating experiences despite a high level of risk, is a personality trait that plays a crucial role in dictating human behavior (Zuckerman, 1994). A teenager who prefers lower sensation-seeking activities will likely elect to stay home rather than accompany similarly underage friends to a house party. Conversely, a high sensation seeker will choose to spend time skydiving or bungee jumping, because the adrenaline rush is enjoyable despite the possibility of injury. Many researchers have focused on studying individual differences in sensation seeking, especially when examining the risk-taking behavior often exhibited by individuals who are high sensation seekers. One particular factor of difference is age; researchers have shown that younger adults often have higher sensationseeking scores than older adults (Roalf, Mitchell, Harbaugh, & Janowsky, 2011; Roth, Schumacher, & Brahler, 2005). It follows, then, that younger adults would also be more likely to partake in high-risk behaviors. This is evidenced by the prevalence of risky behaviors such as drug abuse, crime, and risky sexual behavior seen in younger adults compared to their older adult counterparts (Cowell, Patiel, & Peters, 2019; Turner & McClure, 2003). ABSTRACT. High sensation seeking is associated with increased propensity toward risky behaviors that can be detrimental to oneself and others (Horvath & Zuckerman, 1993). Younger adults not only tend to have higher sensation-seeking scores than older adults, but also demonstrate a greater inclination toward risky behaviors (Cowell, Patiel, & Peters, 2019; Turner & McClure, 2003). The present study considered whether risk-taking behavior is a function of an overactive initiation system (a strong, immediate response to a stimulus) or an underactive inhibitory system (inability to resist an immediate response). With this in mind, the present study examined differences in response initiation and response inhibition among low and high sensation seekers as well as older and younger adults. Participants (18 younger adults and 24 older adults) completed a sensation-seeking questionnaire and Go/No-go task. The results showed differences in inhibition between age groups, controlling for sensation seeking, as measured by the P300 component (η2 = .22) and reaction time (η2 = .24). In regard to response initiation measured by the late contingent negative variation, the results revealed no differences between age groups or sensation-seeking groups. Any significant findings were exclusive to certain electrode sites, however, so results remain somewhat inconsistent regarding widespread and stable group differences. The present study demonstrates that individual differences, such as age and sensation seeking, may play a role in response initiation and inhibition, underscoring the complexity of the process that leads to risky behavior.