Miracle-dz/UniFAR-FTUs huggingface dataset:
Latrine site and its use pattern by Large Indian Civet Viverra zibetha Linnaeus, 1758: record from camera trap

Latrine sites are the places used for urination and defecation, which mostly act as a signaling agent for multiple purposes like territorial marking, confrontation with extruders or potential predators, delivering different inter and intra-communication messages. To understand latrine site visit pattern, a single camera trap was deployed for 91 trap nights at the latrine site of Large Indian Civet during the months of December 2016 and February & March 2017. Latrine site was found under the tree with abundant crown cover and bushes. At least two individuals were found to be using a single latrine site in an irregular manner between 1800 h and 0600 h with higher activity between 1800 h and 2300 h. Our results indicated an irregular latrine site visit pattern, hence similar studies with a robust research design in larger areas are required to understand specific latrine use patterns.
High speed (>11 GHz) modulation of BCB-passivated 1.55 spl/mu/m InGaAlAs-InP VCSELs

MBE-grown InGaAlAs-InP vertical cavity surface emitting lasers with buried tunnel junction for 1.55 µm wavelength, passivated with benzocyclobutene (BCB) and coplanar contacts, are presented. The devices show superior modulation bandwidths up to 11.6 GHz. Wide open eye diagrams with 6 dB extinction ratio enable error-free data transmission at 10 Gbit/s in back-to-back configuration and over different fibres.
Tumor microenvironment characterization in esophageal cancer identifies prognostic relevant immune cell subtypes and gene signatures

Esophageal cancer (ESCA) is a common malignancy in the digestive system with a high mortality rate and poor prognosis. Tumor microenvironment (TME) plays an important role in the tumorigenesis, progression and therapy resistance of ESCA, whereas its role in predicting clinical outcomes has not been fully elucidated. In this study, we comprehensively estimated the TME infiltration patterns of 164 ESCA patients using Gene Set Variation Analysis (GSVA) and identified 4 key immune cells (natural killer T cell, immature B cell, natural killer cell, and type 1 T helper cell) associated with the prognosis of ESCA patients. Besides, two TME groups were defined based on the TME patterns with different clinical outcomes. According to the expression gene set between two TME groups, we built a model to calculate TMEscore based on the single-sample gene-set enrichment analysis (ssGSEA) algorithm. TMEscore systematically correlated the TME groups with genomic characteristics and clinicopathologic features. In conclusion, our data provide a novel TMEscore which can be regarded as a reliable index for predicting the clinical outcomes of ESCA.
Development of a novel necroptosis-associated miRNA risk signature to evaluate the prognosis of colon cancer patients

Background Necroptosis is a recently discovered caspase-independent form of cell death which plays an important role in the occurrence and development of cancer. As an important regulatory factor in necroptosis, microRNAs (miRNAs) are important for the development of colon cancer. This study established a novel necroptosis-related miRNA risk signature to evaluate the prognosis of patients with colon adenocarcinoma (COAD). Methods The necroptosis-related miRNAs were selected by assessing the differential expression of miRNAs in 459 COAD patient samples and 8 control samples from The Cancer Genome Atlas (TCGA). Selection operator Cox analyses and survival analyses were used to establish the risk signature of 7 miRNAs related to necroptosis. Functional enrichment analysis and nomograms were used to explore the potential effects of necroptosis-related miRNAs on prognosis and metastasis. The target genes of the necroptosis-related miRNAs were predicted using online databases and the genes related to overall survival (OS) were screened. Results The risk signature was based on 7 necroptosis-related miRNAs. Nomograms showed that the risk signature was effective at predicting the prognosis and TNM stage of COAD patients. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses demonstrated that these miRNAs play an important role in cancer development, metastasis, and prognosis. A total of 38 target genes for these miRNAs were found to be associated with the OS in COAD patients. Conclusions This study provided novel evidence that necroptosis-related miRNAs are associated with the prognosis of COAD patients. A risk signature established based on these miRNAs could effectively predict the prognosis and metastasis of COAD in patients.
Resilience Safety Culture in Aviation Organisations

Chapter 2: Resilience Safety Culture in Aviation Organisations The European Commission HILAS project (Human Integration into the Lifecycle of Aviation Systems - a project supported by the European Commission’s 6th Framework between 2005-2009) was focused on using human factors knowledge and methodology to address key challenges for aviation (current and future) including a performance based approach for safety and fatigue management in the aviation sector, mainly inflight operations and maintenance. The project Deliverables have been presented as a series of draft book chapters on Safety Management Systems with emphasis on Fatigue risk Management and organisational learning from operational experiences in aviation. The chapters also include conceptual frameworks underlying a thorough analysis of essential functions, contents and structures of a Safety Management System (SMS). This includes supporting functionalities such as investigation in just culture context, decision making processes, and safety promotion. This set of eight (8) draft chapters links theory with field implementation and regulation in airlines. The draft chapters are: Ch. 1: Organisational Learning and Organisational Memory for SMS and FRMS Ch. 2: Resilience Safety Culture in Aviation Organisations Ch. 3: Operational Risk Management System for SMS and FRMS Ch. 4: Incident Investigation in SMS and FRMS Ch. 5: Developing a Safety Management System for Fatigue Related Risks in easyJet Ch. 6: Safety Assurance Process for FRMS – easyJet case study Implementation Ch. 7: Developing a Resilient Just Culture in SMS and FRMS – easyJet case study Implementation Ch. 8: International Fatigue Risk Management Forum - Safety Promotion and Feedback in FRMS
IMPROVING TRANSPORTATION SAFETY OF INJURED PERSONS BY TAKING INTO ACCOUNT THE BIOMECHANICAL CHARACTERISTICS OF THE HUMAN BODY

Ambulance vehicles play a vital role in sustaining the life of injured persons and should a provide safe transportation route to the medical institution. Transportation of injured patients in severe/critical conditions should be carried out with high caution, as there is no guarantee that patients’ health will not be harmed. The goal of this study is to minimize exposure to the external factors such as random shocks, sharp jumps, vibrations caused by irregular roads, speed breakers, weather, etc., that could influence the tasking ability of the medical team and further threaten the life of the already injured patient. This topic has not been widely researched and still requires implementation of novel standards that should improve the safety of the patient. This article aims to define the biomechanics of cabin occupant safety, introduce ways of collecting live data and develop new mechanisms that would allow safer transportation of patients without any meaningful health deterioration causing by the above-mentioned external factors. This study will identify safety hazards in the ambulance environment and determine the effectiveness of suggested countermeasures to mitigate any further injury or deterioration of the patient’s health.
Transient Visual Effects Of Prolonged Small Spot Foveal Laser Exposure

Development of a test of foveal function during and after small spot foveal exposure was the primary objective of this investigation. This objective was accomplished. At retinal damage levels, only a small focal foveal lesion was observed indicating the ability to utilize the fovea during such exposure. Postexposure recovery effects analyzed for target size and contrast conditions suggest retinal and possibly cortical saturation processes.
Salvia spinosa L. Protects against Diabetes-Induced Nephropathy by Attenuation of Mitochondrial Oxidative Damage in Mice

Mitochondrial oxidative damage is a crucial factor in the pathogenesis of diabetic nephropathy (DN), which is among the most prevalent problems of diabetes, and there hasn't been an effective treatment for DN yet. This study planned to investigate the effects of Salvia spinosa L. on mitochondrial function along with its protection against streptozotocin-induced nephropathy in diabetic mice. After the injection of streptozotocin (STZ) and verification of the establishment of diabetes, mice (n = 30) were randomly divided into the following groups: control group, diabetic-control, S. spinosa-treated diabetic (50, 100, and 200 mg/kg), and metformin-treated diabetic group (500 mg/kg). After four weeks of treatment, the mice were weighed. Blood and kidney tissues were examined for biochemical and histological evaluation. Hematoxylin and eosin staining was used for evaluating renal pathologic damage. Oxidative damage in the kidney was assessed by the evaluation of lipid peroxidation and glutathione oxidation. Furthermore, differential centrifugation was used to obtain the isolated mitochondria, and mitochondrial toxicity endpoints (mitochondrial function and mitochondrial oxidative markers) were determined in them. S. spinosa remarkably reduced the blood urea and creatinine concentrations, and also normalized kidney weight/body weight coefficient in the diabetic mice. S. spinosa ameliorated the incidence of glomerular and tubular pathological changes in histological analyses. Moreover, the oxidative and mitochondrial damages were notably attenuated in renal tissues of S. spinosa-treated mice. These results indicate that the methanolic extract of S. spinosa modulates the nephropathy in the diabetic mice by the amelioration of oxidatively induced mitochondrial damage and provides a reliable scientific base, suggesting S. spinosa as a promising alternative remedy against DN.
A dual-scale siamese densely connected network with MRF for SAR image classification

ABSTRACT Recently, Convolutional Neural Network (CNN) has achieved some success in synthetic aperture radar (SAR) image classification. This outstanding performance mainly depends on a large number of training samples, but achieved satisfactory classification results with limited training samples remains a challenge. To address this problem, we propose a dual-scale Siamese densely connected network with Markov Random Fields (DS-SDCNet-MRF) for single-polarization SAR image classification. First, the Siamese densely connected network (SDCNet) is proposed to fully extract discriminative features under limited samples. Then, the proposed DS-SDCNet is constructed with two SDCNets of different scales to produce complementary classification results. Among them, the large-scale SDCNet has a better classification result in the homogeneous region, while the small-scale SDCNet tends to provide good detail preservation. Finally, an improved MRF model which combined the category probability information is proposed to further improve the classification performance. Experimental results on simulated and real single-polarization SAR data demonstrate that the proposed method achieves more encouraging classification performance than the current state-of-the-art classification methods with limited samples.
Process Evaluation of Home-based Bimanual Training in Children with Unilateral Cerebral Palsy (The COAD-study): A Mixed Methods Study

ABSTRACT Purpose To evaluate the processes and factors that influenced implementation and impact of a home-based bimanual training program in children with unilateral cerebral palsy aged 2 through 7 years. Methods The program encompassed bimanual task-specific training (3.5 hours/week for 12 weeks) adopting either implicit or explicit motor learning. A therapist and remedial educationalist coached parents. This mixed methods study included course attendance monitoring, questionnaires, registration form, video analysis, interviews, focus group discussion, and drop-out monitoring. Results Fourteen families participated. The program was not fully implemented as intended. Parents positively experienced the training and were well able to provide it. The program was demanding for the children and time-consuming for parents. Several components positively contributed to the program: task-analysis, instructional videos, and coaching by a therapist and remedial educationalist. Several modifications to the program were proposed. Conclusion Home-based bimanual training forms a demanding but promising therapeutic approach with potential for optimization.
Fourier methods for estimating power system stability limits

This paper shows how the use of new-generation tools such as a generalized shell for dynamic security analysis can help improve understanding of fundamental power system behaviour. Using the ELISA prototype shell as a laboratory tool, it is shown that the signal energy of the network impulse response acts as a barometer to define the relative severity of a contingency with respect to some parameter, for instance power generation or power transfer. In addition, for a given contingency, as the parameter is varied and a network approaches instability, signal energy increases smoothly and predictably towards an asymptote which defines the network's stability limit: this, in turn, permits one to compare the severity of different contingencies. Using a Fourier transform approach, it is shown that this behaviour can be explained in terms of the effect of increasing power on the damping component of a power system's dominant poles. A simple function is derived which estimates network stability limits with surprising accuracy from two or three simulations, provided that at least one of these is within 5% of the limit. These results hold notwithstanding the presence of many active, nonlinear voltage-support elements (i.e. generators, synchronous condensers, SVCs, static excitation systems, etc.) in the network. <<ETX>>
A Vision-Based System for Power Transmission Facilities Detection

In this paper, we present the design and implementation of a vision system for power transmission facilities detection based on UAV videos. The vision system consists of two main parts, the client part and the server part. The aim of the system is to detect the power transmission facilities in complex background. In order to achieve this aim, several novel methods are proposed for detecting the power transmission facilities which include the power line, the power tower, and the insulator. The experiment results on real image data demonstrate that the proposed methods are accurate and effective. The system is presented to demonstrate the performance of the detection methods.
The Application of BP Neural Network Learning Algorithm Based on the Particle Swarm Optimization

The development of real estate has been affected by various social factors, including economic factors. BP neural network can more accurately forecast the trend of real estate industry according to economic development indicators. But BP neural network is slow convergence in the training process, and easily falls into local optimum. The BP neural network learning algorithm based on the particle swarm optimization (PSO) optimizes the weights and thresholds of the network by PSO algorithm, then to train BP neural network. The experimental results show that the performance of this new algorithm is better than BP neural network, but also has good convergence.
MINERÍA DE DATOS APLICADA EN DETECCIÓN DE INTRUSOS

Con base a los fundamentos y tecnicas de la mineria de datos se pueden disenar y elaborar modelos que permiten encontrar comportamientos clandestinos de facil deteccion a simple vista como lo es la informacion no evidente -desconocida a priori y potencialmente util- en referencia a hechos determinados. En particular la utilidad de la mineria de datos en esta area radica en una serie de tecnicas, algoritmos y metodos que imitan la caracteristica humana del aprendizaje: ser capaz de extraer nuevos conocimientos a partir de las experiencias. La mineria de datos posee caracteristicas como: analisis de grandes volumenes de informacion, generacion de comportamientos que no son facilmente perceptibles, depuracion de datos para toma de decisiones. Estas caracteristicas pueden ser de vital importancia para ser aplicadas en la seguridad de la informacion a traves de la deteccion de intrusos. En la actualidad la seguridad de la informacion es uno de los grandes retos que tiene el mundo, y en especial, la deteccion de anomalias en los registros de acceso de los diferentes sistemas de informacion. Con esta aplicabilidad resulta un metodo basico y muy eficiente de poder prevenir intrusiones. Se centra el campo de en la deteccion de intrusos al nutrir el proceso de seguimiento de los acontecimientos que ocurren en la red informatica, seguido del analisis de los mismos; con el fin de detectar los factores que ponen en peligro la confidencialidad, integridad, disponibilidad y no repudio de los datos. En el presente trabajo se pretende mostrar el aporte a la seguridad de la informacion de la mineria de datos en el contexto de la deteccion de intrusos.
Verifying Meteorological Station Wind Speed Data for Long-Term Resource Studies: The MIA Luqa Wind Databases at Malta

Short-term wind measurements at a candidate wind turbine installation site strive to capture a fingerprint of candidate site wind conditions. Coupling this fingerprint with a historical data set from a nearby reference station enables the projection of the candidate site's longer-term wind characteristics. This paper focuses on the historic wind datasets compiled by the Meteorological Office of Malta International Airport, Luqa. As the only station having in excess of 20 years of wind speed and direction data, this database is significant and useful as a long-term reference station. The position of the Maltese island makes this station a useful node for weather-related data and for validation of computational tools in the central Mediterranean region. The focus of this paper is primarily on a period when the station and measurement equipment went through an upgrade and relocation. A downward shift of 0.75 ms−1 in the wind speed was identified. The analyses presented in this paper identify and test hypotheses for this shift including aspects such as the station's relocation, the use of new sensors, using a different monitoring structure type and other factors.
Corporate social responsibility factors, environment and corporate sustainability: Specific overview of India and China

Corporate social responsibility represents the relationship between business and society. The significant benefits of being socially and environmentally responsible are the focus of this paper. This review emphasized the business oriented notion of Corporate Social Responsibility, where the idea is captured to justify existing arguments supportive of community and environmental programs. The review attempted to clarify major research questions: (1) why do businesses engage in society initiatives; (2) what inspires the decisions to support the society – a specific comparison highlighted between China and India. The study featured various CSR and sustainability regulations currently in force in different countries. In order to achieve the aim of the study, the review begun with overview of CSR based on well-established definitions and subsequently discussed the two major perspectives; the free market theory and CSR theory. This gave a clears explanation of why some businesses invest their resources to benefit the society while others are profit seeking. Finally, the paper sought to establish the integration of CSR with corporate sustainability. The findings suggest that, contemporary CSR programs are largely influenced by regulations and legal provisions across the world. And ideally, a firm’s CSR performance is influenced by internal and external factors which are captured in stakeholder theory and institutional theory. The findings, validate the ascension that the integration of CSR with corporate sustainability (CS) could produce a coherent platform to advance environmental sustainability.
Realising the vision:Translating strategy into action through policy mangement

The failure to link the achievement of top management goals with daily management at an operational level is a major cause of loss of momentum in change management. In addition to a process for preparing strategies, top managers need to implement a framework which mobilises company-wide effort for realising them. Policy management is about giving managers the flexibility to work towards the achievement of agreed objectives in ways they determine most effective for their part of the business.
Accuracy of bipolar compact models under RF power operating conditions

The large-signal accuracy of the SPICE Gummel-Poon and MEXTRAM bipolar compact models for circuit simulation is assessed by means of comparison with 2D large-signal mixed-mode device/circuit simulations under realistic RF power operating conditions. This verification approach eliminates measurement uncertainties and thus concentrates on the intrinsic model behavior. The overall accuracy of both models is found to be quite good. MEXTRAM is more accurate, especially at high-excitation levels. <<ETX>>
Opportunities to improve monitoring of temporal trends with FIA panel data

The Forest Inventory and Analysis (FIA) Program of the Forest Service, Department of Agriculture, is an annual monitoring system for the entire United States. Each year, an independent “panel” of FIA field plots is measured. To improve accuracy, FIA uses the “Moving Average” or “Temporally Indifferent” method to combine estimates from multiple panels that were measured during recent years. However, timeseries estimators better serve monitoring objectives than temporally indifferent methods. This paper reviews the Kalman filter, which is a linear, minimum variance, sequential, model-based, time-series estimator based on the simple composite estimator. The Kalman filter combines predictions from a population dynamics model with the observed time-series of annual FIA panel estimates. This combination of design-based and model-based methods reduces serious risks from model bias, yet preserves the gain in precision from the model. Alternative models in the Kalman filter represent alternative hypotheses that may be ranked based on their relative agreement with design-based panel estimates. For example, does a model that includes the expected consequences of climate change on average rates of tree growth, regenerations and mortality better fit the annual FIA design-based panel estimates than a model that assumes no climate change? The Kalman filter is presented in a tutorial style that relies more on graphical examples than mathematical equations. Hopefully, this genre builds awareness and confidence in this somewhat unfamiliar statistical estimator. The Kalman filter and Moving Average estimators are compared with hypothetical simulations of changing populations. A final set of examples is based on annual FIA panel estimates for the State of Colorado from 2002 to 2007, where epidemic levels of mountain pine beetle infestation are causing catastrophic tree mortality in lodgepole pine forests. Three analysis questions are addressed. Is there an observable trend in population parameters over time? Does the trend make sense? Is the trend significant relative to the uncertainty in the population estimates?