Miracle-dz/UniFAR-FTUs huggingface dataset:
Population demographics of New Zealand fur seals (Arctocephalus forsteri)

Assessment of trophic interactions between increasing populations of New Zealand fur seals (Arctocephalus forsteri) and fisheries in southern Australia is limited due to a lack of species specific demographic data and an understanding of the factors influencing population growth. To establish species specific demographic parameters a cross-sectional sample of New Zealand fur seal females (330) and males (100) were caught and individually-marked on Kangaroo Island, South Australia between 2000 and 2003. The seals were aged through examination of a postcanine tooth, which was removed from each animal to investigate age-specific life-history parameters. Annual formation of cementum layers was confirmed and accuracy in age estimation was determined by examination of teeth removed from individuals of known-age. Indirect methods of assessing reproductive maturity based on mammary teat characteristics indicated that females first gave birth between 4-8 years of age, with an average age at reproductive maturity of 5 years. Among reproductively mature females, age-specific reproductive rates increased rapidly between 4-7 years of age, reaching maximum rates of 70-81% between 8-13 years, and gradually decreased in older females. No females older than 22 years were recorded to pup. Age of first territory tenure in males ranged from 8-10 years. The oldest female and male were 25 and 19 years old, respectively. Post-weaning growth in females was monophasic, characterised by high growth rates in length and mass during the juvenile growth stage, followed by a gradual decline in growth rates after reproductive maturity. In contrast, growth in males was biphasic and displayed a secondary growth spurt in both length and mass, which coincided with sexual and social maturation, followed by a rapid decline in growth rates. Age-specific survival rates were high (0.823-0.953) among prime-age females (8-13 yrs of age) and declined in older females. Relative change in annual pup production was strongly correlated with reproductive rates of prime-age females and adult female survival between breeding seasons.
Modeling Air Pollution and Temperature Components to Identify Their Effects on India's Capital using Python

Various past research works have shown that temperature can alter the effect of ambient fine particles category PM 2.5 which causes the high mortality risk. In surveying air contamination impacts, temperature is generally considered as a confounder. In any case, encompassing temperature can change individuals' physiological reaction to air contamination and might alter the effect of air contamination on wellbeing results. This study investigates the interaction between monthly values of PM2.5 and monthly average temperature values in Delhi, India using data for the period 2010–2018. The computer language Python is used to analysis facts and produce the outcomes which can shape the future research work and policies to overcome both global issues- pollution and Global warming.
An Intrusion Intention Analysis Algorithm Based on Attack Graph

The discovery of intrusion intention is one of the challenging tasks faced by network security managers. To detect intrusion detections, this paper presents a domain-device attack graph, and collects and analyzes the underlying data of the network topology. On this basis, the attack graph Map was quantified by the Bayesian theory. The minimum weight spanning tree (Min-WFS) algorithm was adopted to automatically recognize the calculation cost of key devices in the network topology, providing an important basis for network maintenance. Experimental results show that the intrusion intentions can be effectively identified with the aid of the quantified domain-device attack graph Map, and this identification method is easy to implement.
Prototype Clinometer Digital sebagai Alat Kalibrasi Sudut Precision Approach Path Indicator

Clinometer adalah peralatan yang digunakan untuk mengukur sudut kemiringan secara akurat yang dapat diatur dalam menit dan detik. Clinometer digunakan untuk seting sudut pada Precision Approach Path Indicator (PAPI), sudut elevasi yang ditunjukkan melalui pancaran cahaya yang dihasilkan oleh PAPI. Prototype Clinometer Digital dibuat dengan tampilan digital berupa seven segmen, untuk mendeteksi sudut kemiringan digunakan sensor accelometer yang menjadi masukan mikrokontroler kemudian ditampilkan melalui tampilan seven segmen. Hasil pegujian prototype beroperasi dengan baik, tingkat kesalahan pembacaan clinometer digital ini masih dalam toleransi maksimal yaitu 0,07 derajat.
The global leader : critical factors for creating the world class organization

In 1994, Terence Brake co-authored the book "Doing Business Internationally", which provided comprehensive guidelines for individuals and organizations working across cultural borders. The "Global Leader" is a follow-up to this successful book, and focuses on the urgent need for companies to build cultures that develop global leaders at all levels. Filled with input executives and senior managers from leading global companies like Avon, Bechtel, Colgate-Palmolive, Huges Electronics, and International Flavors and Fragrances, this guide provides the reader with valuable insights into: organizational capabilities needed to build and sustain global competitiveness; a leadership process that transforms the challenges of global competition into world-class performance; culture-building tools that release leadership potential throughout the organization; and a change process for managing deep cultural transformation.
Peri-treatment peripheral blood cell score predicts long-term locoregional progression hazard in oesophageal squamous cell carcinoma after definitive chemoradiotherapy

Background: Prediction of response to chemoradiotherapy is critical for the optimal management of oesophageal cancer, yet it is still an unmet clinical need. This study aims to evaluate the predictive potential of peri-treatment peripheral blood cells (PBC) in disease progression hazard in oesophageal cancer following chemoradiotherapy.Methods: 87 patients with primary oesophageal squamous cell carcinoma were subjected to definitive concurrent chemoradiotherapy in a phase II trial. PBC parameters (haemoglobin, neutrophils, platelets, lymphocytes and monocytes) were collected at 7 time points through the course of radiotherapy. The values of peri-treatment PBC parameters in predicting 3-year cumulative hazard of tumour progression were evaluated.Results: Patients with disease progression displayed distinct distribution patterns of peri-treatment PBC compared to patients without. Greater prediction capabilities for risk of locoregional disease progression were found in PBC collected after the start of radiotherapy compared to their pretreatment counterparts, and in individual parameters rather than cell-to-cell ratios. The most predictive PBC parameters were integrated by summation and designated as a PBC score (PBCS), which further augmented their predictive power. Patients divided according to their PBCS (high vs medium vs low) had significantly different 3-year cumulative hazards of locoregional progression (58% vs 29% vs 7%, P = 0.0017). Multivariate analysis confirmed that PBCS high (HR 12.2, 95%CI 2.0-76.3, P = 0.007) and medium (HR 5.8, 95%CI 1.2-27.7, P = 0.028) are independent indicators of locoregional progression.Conclusion: Peri-treatment PBCS can predict the long-term hazard of locoregional progression after definitive chemoradiotherapy in patients with oesophageal squamous cell carcinoma.
Automating virtual calculations in supersymmetric theories

The LHC has begun collecting data and the first results have now been published. This is truly an exciting time in the field as we wait for the experimental data to exclude or verify new physics beyond the Standard Model. In order to make a precise prediction for the LHC one must go beyond the leading order of our perturbation series. In this thesis I present the extension of tools for the automation of one loop calculations for supersymmetric models. The second part of the thesis contains the application of these tools to neutralino pair production in the Minimal Supersymmetric Model.
Silencing of the DJ-1 (PARK7) gene sensitizes pancreatic cancer to erlotinib inhibition

Background: The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor erlotinib, in combination with gemcitabine, has been shown to be a promising therapy in the treatment of pancreatic cancer. Our previous study showed that DJ-1 promotes invasion and metastasis of pancreatic cancer cells by activating SRC/ERK/uPA. The aim of this study was to evaluate whether silencing DJ-1 expression can sensitize pancreatic cancer cells to erlotinib treatment. METHODS: Knockdown of DJ-1 expression, combined with erlotinib treatment, was performed in the pancreatic cancer cell lines BxPC-3, PANC-1 and MiaPACa-2. Cell proliferation was assessed with the CCK-8 assay and BrdU incorporation, while apoptosis was measured using terminal deoxynucleotidyl ransferase (TdT)-mediated dUTP nick-end labeling. RAS activity and activation of the downstream pathways involving AKT and ERK1/2 were explored to determine the underlying mechanism. RESULTS: Knockdown of DJ-1 expression accelerated erlotinib-induced cell apoptosis, and improved the inhibitory effect of erlotinib on pancreatic cancer cell proliferation in vitro and in xenograft tumor growth in vivo . Knockdown of DJ-1 decreased K-RAS expression, membrane translocation, and activity in BxPC-3 cells. Knockdown of DJ-1 also decreased K-RAS, H-RAS, and N-RAS expression in PANC-1 and MiaPACa-2 cells. Knockdown of DJ-1 synergistically inhibited AKT and ERK1/2 phosphorylation with erlotinib in pancreatic cancer cells. CONCLUSIONS: DJ-1 may activate the RAS pathway, reinforcing erlotinib drug resistance. Blocking DJ-1 in combination with the EGFR tyrosine kinase inhibitor erlotinib may be an attractive therapeutic target in pancreatic cancer.
Data mining of temporal sequences for the prediction of infrequent failure events : application on floating train data for predictive maintenance

In order to meet the mounting social and economic demands, railway operators and manufacturers are striving for a longer availability and a better reliability of railway transportation systems. Commercial trains are being equipped with state-of-the-art onboard intelligent sensors monitoring various subsystems all over the train. These sensors provide real-time flow of data, called floating train data, consisting of georeferenced events, along with their spatial and temporal coordinates. Once ordered with respect to time, these events can be considered as long temporal sequences which can be mined for possible relationships. This has created a neccessity for sequential data mining techniques in order to derive meaningful associations rules or classification models from these data. Once discovered, these rules and models can then be used to perform an on-line analysis of the incoming event stream in order to predict the occurrence of target events, i.e, severe failures that require immediate corrective maintenance actions. The work in this thesis tackles the above mentioned data mining task. We aim to investigate and develop various methodologies to discover association rules and classification models which can help predict rare tilt and traction failures in sequences using past events that are less critical. The investigated techniques constitute two major axes: Association analysis, which is temporal and Classification techniques, which is not temporal. The main challenges confronting the data mining task and increasing its complexity are mainly the rarity of the target events to be predicted in addition to the heavy redundancy of some events and the frequent occurrence of data bursts. The results obtained on real datasets collected from a fleet of trains allows to highlight the effectiveness of the approaches and methodologies used
A Deep Reinforcement Learning Approach to The Ancient Indian Game - Chowka Bhara

Reinforcement Learning (RL) is the study of how Artificial Intelligence (AI) agents learn to make their own decisions in an environment to maximize the cumulative reward received. Although there has been notable progress in the application of RL for games, the category of ancient Indian games has remained almost untouched. Chowka Bhara is one such ancient Indian board game. This work aims at developing a Q-Learning-based RL Chowka Bhara player whose strategies and methodologies are obtained from three Strategic Players viz. Fast Player, Random Player, and Balanced Player. It is observed through the experimental results that the Q-Learning Player outperforms all three Strategic Players.
A rolling element bearing fault diagnosis approach based on hierarchical fuzzy entropy and support vector machine

Aiming at the non-linear characteristics of bearing vibration signals as well as the complexity of condition-indicating information distribution in the signals, a new rolling element bearing fault diagnosis method based on hierarchical fuzzy entropy and support vector machine is proposed in this paper. By incorporating the advantages of both the concept of fuzzy sets and the hierarchical decomposition of hierarchical entropy, hierarchical fuzzy entropy is developed to extract the fault features from the bearing vibration signals, which can provide more useful information reflecting bearing working conditions than hierarchical entropy. After feature extraction with hierarchical fuzzy entropy, a multi-class support vector machine is trained and then employed to fulfill an automated bearing fault diagnosis. The experimental results demonstrate that the proposed approach can identify different bearing fault types as well as severities precisely.
Loss-less on-chip test response compression for diagnosis and debug in volume production of system-on-chip

The technical evolution during the past decade have escalated the use of electronic devices, which are more common today than ever before. The market is still growing rapidly and will continue to do so. The reason for this is the increased demand for devices with integrated circuits. In addition to the increased volume of production, the chips are also becoming more complex which is also reflected in the requirements of the chip design process.An advanced chip that combines several different hardware modules (cores) to form a complete system is called a System-on-Chip (SoC). It is of great importance that these chips work according to expectation, although it can be difficult to guarantee. The purpose of SoC testing is to verify correct behaviour as well as for diagnosis and debug.Complex systems lead to more and bigger tests which lead to increased test data volume and test time. This results in a higher test cost and many methods are proposed to remedy this situation.This report proposes a method that minimises fail result data with a real-time compression component embedded on the chip. The compressed fail results can be saved on-chip and retrieved when needed instead of during the test.Furthermore this method will facilitate debug and diagnosis of SoCs. A mask buffer is used to give the opportunity of choosing exactly which cycles, pins or bits that are relevant. All other result bits are masked and ignored.The results are satisfying, the data is compressed to a much smaller size which is easier to store on-chip. The method is simple, fast and loss-less.
Evaluation of a linear washout for simulator motion cue presentation during landing approach

The comparison of a fixed-base versus a five-degree-of-freedom motion base simulation of a 737 conventional take-off and landing (CTOL) aircraft performing instrument landing system (ILS) landing approaches was used to evaluate a linear motion washout technique. The fact that the pilots felt that the addition of motion increased the pilot workload and this increase was not reflected in the objective data results, indicates that motion cues, as presented, are not a contributing factor to root-mean-square (rms) performance during the landing approach task. Subjective results from standard maneuvering about straight-and-level flight for specific motion cue evaluation revealed that the longitudinal channels (pitch and surge) possibly the yaw channel produce acceptable motions. The roll cue representation, involving both roll and sway channels, was found to be inadequate for large roll inputs, as used for example, in turn entries.
The Effect of Neural Stem Cell Treatment on Astrocyte Phenotypes morphology and Galectin Expression in Following Rat Spinal Cord Injury

Traumatic spinal cord injury (SCI) results in complex neurological dysfunction. Astrocytes react in response to SCI by undergoing proliferation and migrating to the injury site, resulting in astrogliosis. Neural stem cells (NSCs) have been proposed as a promising therapeutic strategy to promote neurogenesis following transplantation post SCI. In this study the antigenic and morphological phenotype of astrocytes, and the pattern of galectin expression was examined following SCI. Female Sprague Dawley rats were contused at thoracic (T) level T9 and treated with Cyclosporin-A (CsA) and/or NSCs 1 week post-injury. CsA and NSC treatment led to increased glial fibrillary acidic protein (GFAP), brain lipid binding protein (BLBP) and vimentin expression. Quiescent and reactive astrocytes were the most abundant cell morphology observed. Astrocytes co-localised with galectin-1 (Gal-1) and galectin-3 (Gal-3). Gal-1 expression was increased in both CsA and CSA + NSC treated animals 2 weeks post-treatment. Treatment with CsA and/or NSCs offers many prospective beneficial effects. A detailed revelation of how astrocytes are heterogeneously responsive to SCI, in addition to their affinity to galectins and response to CsA and NSCs is shown in this study. The current study’s findings support the potential application of NSCs as a novel therapeutic tool in the treatment of SCI.
False Alarm Reduction Method for Formation Flying Spacecraft FDI

The main focus of this paper is to propose a method for reducing a false alarm of formation flying spacecraft. In this paper, we construct a federated UKF to estimate navigation information and use threshold method for spacecraft fault detection and isolation. Also, we apply an extended scalar adaptive filter for preventing the false alarm as a pre-filtering method. An extended scalar filter is an adequate filtering method for eliminating abnormal jumping signal by estimating three different kinds of variances continuously. The measurement noise variance is estimated by using an innovation method while, the velocity error and the acceleration error variance are estimated through a least square method. This filter operates as a pre-filter of the local filter in the federated UKF. When the sensor output exceeds threshold limit due to sudden noise, we eliminate abnormal measurements. Simulation results show that the extended scalar adaptive filter can eliminate sudden abnormal measurements. Thus, the extended scalar adaptive filter is an adequate algorithm for reducing the false alarm.
Using Defatted Microalgae to Produce Health Value Added Eggs

The consumers’ demands for food products of superior health quality are growing (Hargis and Van Elswyk, 1993; Qi and Sim, 1998; Sim and Qi, 1995; Surai and Sparks, 2001). A number of studies have been conducted to fortify functional nutrients into animal origin foods such as meat, eggs, and milk through feed modifications (Cooper et al., 2004; Galobart et al., 2001; Hargis and Van Elswyk, 1993; Sim and Qi, 1995). Among these animal origin foods, eggs are considered the most convenient way to supply bioactive nutrients. Eggs are added into many foods for leavening, thickening, binding, and emulsifying (Stadelman, 1999). Eggs contain highly digestible proteins and have amino acid profiles similar to the human requirements. Eggs also supply various minerals and major vitamins (vitamins A, E, and B12) (Song and Kerver, 2000). However, regular eggs contain relatively high levels of omega-6 (n-6) fatty acids but low levels of omega-3 (n-3) fatty acids. Because these two types of fatty acids are metabolically and functionally distinct, and, in many cases, have opposite physiological effects, their balance in foods is considered to be an important factor (Simopoulos, 2000) associated with incidences of certain diseases (Shahidi and Wanasundara, 1998). Eggs also contain high amounts of cholesterol (185 mg/egg) that may negatively affect heart health at high intakes (Djousse and Gaziano, 2008). While protein and total lipid concentrations of eggs are not readily altered by diets of hens, fatty acid composition, mineral, and vitamin contents can be modified by feeding the hens with certain dietary ingredients.
Parents' Views on Play Based Learning for Children Aged 3-6 Years: Evidence from Selected Early Childhood Education Centres in Zambia

: The study explored parents’ views on play-based learning for children aged 3-6 years in selected early childhood education centres in Zambia. Qualitative approaches were used to collect data from twenty-one participants and the data were analysed thematically. The findings revealed that parents had positive perspectives of play-based learning asserting that play was good for learning, child development, fun and for children’s enjoyment. However, most parents were sceptical of how teachers used play to enhance children’s intellectual abilities and promote the children’s learning of Arithmetic, Reading and Writing. In addition, the study revealed that although parents acknowledged the benefits of play-based learning to children, parents were in support of a more academic oriented path hence they were more inclined to supporting teacher-directed activities that focused on the acquisition of academic knowledge at ECE Centres. Finally, whilst the study revealed that parents liked (prioritized) several aspects about the ECE Centres where their children were enrolled, availability of proper play equipment and play materials were top on the list. Based on the findings, the study recommended that the school administrators and the teachers should initiate orientation seminars on play-based learning for parents to fully comprehend the dynamics of play-based learning.
Development of an Embedded System for Ship선s Steering Gear using Voice Recognition Module

Recently, various studies had been made for automatic control system of small ships, in order to improve maneuvering and to reduce labor and working on board. To achieve efficient operation of small ships, it had been accomplished to rapid development of automatic technique, but the ship operation had been more complicated because of the need to handle various gauges and instruments. To solve these problems, there are examples to be applied to the speech information processing technologies which is one of the human interface methods in the system operation of ship, but the implementation of definite system is still incomplete. Therefore, the purpose of this paper is to implement the control system for ship steering using the voice recognition module.