Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Simulation Environment for Training and Research in Maritime Safety and Security

Currently, a major priority in passenger shipping is to train ship's officers and crew with sufficient skills and appropriate procedures to provide adequate protection and ensure the safety of all passengers and crew, especially on ferries and cruise ships. For this purpose, it is essential to establish a permanent process of change and development with regard to new precautionary measures against terrorism both in ports and onboard vessels in accordance with existing regulations. Training human mentality and motivation is vital to creating a permanent underlying security culture. Simulators have proved beneficial for ship operation training in real time. There is ongoing research and development to also provide and integrate specific simulation facilities for maritime safety and security issues. For these purposes, a new type of simulator is under development for integrated training and research of the specific aspects of maritime safety and security. A so-called Safety and Security Trainer (SST) simulation system, designed for 2-D and 3-D visualization, is developed containing a 3-D visual model of a real ferry. This visual model implemented into the SST is interfaced to an integrated decision support system to assist trainees to cope with safety and security challenges during maneuvers of the vessel in a full-mission simulation environment. The system is designed to allow for more detailed evaluation of the effectiveness of safety and security plans under varying conditions and during different courses of events by different series of simulation runs. This paper introduces the basic concept of the SST simulator and describes the work entailed for its integration into the complex environment of full mission ship-handling and ship-engine simulators. Selected results of a case study dealing with first basic implementation of training scenarios will be demonstrated.
Recording soil penetrometer

A recording soil penetrometer comprising a frame having upper and lower ends with a penetration probe extending downwardly from the lower end of the frame for penetration of the ground. A handle is operatively yieldably vertically movably mounted on the upper end of the frame for forcing the probe downwardly into the ground. A recording drum is rotatably mounted, about a vertical axis, on the frame and is adapted to have pressure sensitive recording paper mounted thereon. A ground-engaging apparatus is vertically movably mounted on the lower end of the frame. A rubber foot is provided on the lower end of the ground-engaging apparatus for engagement with the ground. A scriber is mounted on the upper end of the ground-engaging apparatus which is adapted to scribe the recording paper on the recording drum. A force link apparatus operatively interconnects the handle and the recording drum for causing rotation of the drum relative to the force required to cause the probe to penetrate the soil. The scriber scribes a depth-penetration resistance graph on the recording paper as the probe penetrates the soil.
Investigating the Cloud Computing Business Framework - modelling and benchmarking of financial assets and job submissions in clouds

Literature identifies three business challenges in clouds: (i) little linkage between qualitative and quantitative cloud business frameworks in the same domain; (ii) few structured frameworks to measure cloud business performance and (iii) application portability from desktops to clouds, and later on between clouds offered by different vendors. To address these three problems, we propose the Cloud Computing Business Framework (CCBF), which contains Financial Cloud Framework (FCF), Middleware Framework (MF) and the other two frameworks. FCF and MF are to deal with portability issue. In FCF, we select Monte Carlo Methods (MCM) for pricing and Black Scholes Model (BSM) for risk analysis. In MF, we select OMII-UK's GridSAM 2.3 to demonstrate job submission in clouds, and compare benchmarking results with our MCM and BSM models. Our objective is to demonstrate portability, speed, accuracy and reliability of applications in the clouds, and present how modelling, simulation and benchmarking fit into FCF and MF. Experiments are performed in public and private clouds, where portability, speed, accuracy and reliability from desktop to clouds are successfully demonstrated. Despite X.509 security can be demonstrated, the preferred security is single sign-on and will be dealt with later.
Design of Small Electrical Machines

From the Publisher: An applications-oriented text which concentrates on design techniques for this important, highly commercial field. Details all the latest advances in applications, design methods and materials. Uses a vast array of examples from the first specification to the prediction of performance. Coverage includes thermal design, 3-phase induction motors, permanent magnet machines and the design of 400 Hz motors. CAD is incorporated throughout and the book concludes with a review of several commercial CAD packages.
Mating induces selective immune priming which is maintained throughout bumblebee queen diapause

Background: Understanding the mechanisms by which organisms adapt to unfavourable conditions is a fundamental question in ecology and evolutionary biology. One such mechanism is diapause, a period of dormancy typically found in nematodes, fish, crustaceans and insects. This state is a key life-history event characterised by arrested development, suppressed metabolism and increased stress tolerance and allows an organism to avoid prolonged periods of harsh and inhospitable environmental conditions. For some species, diapause is preceded by mating which can have a profound effect on female behaviour, physiology and key biological processes, including immunity. However, our understanding of how mating impacts long-term immunity and whether these effects persist throughout diapause is currently limited. To address this, we explored molecular changes in the haemolymph of the ecologically important pollinator, the buff-tailed bumblebee Bombus terrestris . B. terrestris queens mate prior to entering diapause, a non-feeding period of arrested development that can last 6-9 months. Using mass-spectrometry-based proteomics, we quantified changes in the pre-diapause queen haemolymph after mating, as well as the subsequent protein expression of mated queens during and post-diapause. Results: Our analysis identified distinct proteome profiles associated with diapause preparation, maintenance and termination. More specifically, mating pre-diapause was shown to increase the abundance of antimicrobial peptides, key effectors of the immune system. Furthermore, we identified the elevated abundance of these proteins to be maintained throughout diapause. This finding was in contrast to a general reduction in immune proteins during diapause suggestive of selective immune priming and expression during diapause. Diapause also affected the expression of proteins involved in cuticular maintenance, olfaction, as well as proteins of unknown function, which may have roles in diapause regulation. Conclusions: Our results provide clear molecular evidence for the consequences and benefits of mating at the immune level through the selective increased abundance of antimicrobial peptides that are sustained throughout diapause. In addition, our results provide novel insights into the molecular mechanisms by which bumblebees prepare for, survive, and recover from diapause, insights that may have implications for our general understanding of these processes in other insect groups.
Desperately Seeking SA

Abstract : SA is a pilot's (or aircrew's) continuous perception of self and aircraft in relation to the dynamic environment of flight, threats, and mission, and the ability to forecast, then execute tasks based on that perception. It is problem solving in a three-dimensional spatial relationship complicated by the fourth dimension of time compression, where there are too few givens and too many variables. It encompasses the individual's experience and capabilities, which affect the ability to forecast, decide and then execute. SA represents the cumulative effects of everything an individual is and does as applied to mission accomplishment.
DEVELOPMENT OF THE ASSIMILATION APPARATUS OF CHERRIES AND SWEET CHERRIES GROWN ON CLONAL ROOTSTOCKS IN CONNECTION WITH CROWN FORMS

The scientific article presents the results of study on the influence of vegetatively propagated low-growing rootstocks and types of artificial forms of crown cherry and sweet cherry on the development of the leaf apparatus of such varieties of cherry Shubinka, Podbelskaya and Shpanka Chernaya (black), sweet cherry Bahor, Revershon and Drogan Zheltaya (yellow). Research has shown that the formation of leaves and the development of the assimilation apparatus of both a single tree and a unit of garden area significantly depends on the genetic characteristics of the variety, the selected rootstock when growing planting material, as well as the method of crown formation. Maximum conditions for the development of the assimilation surface of the cherry variety Shpanka Chernaya (black) are provided on the VVA-1 rootstock when forming a crown of the fruit wall type with five-skeletal branches left in the aboveground part – 39.01 thousand m2/ha. In the sweet cherry variety Revershon, the largest assimilation surface – 57.90 thousand m2/ha was observed on the rootstock VSL-2 (Krymskaya-5) when using the KGB crown shape (Kim Green Bush). As a result of the conducted research, it was found that the optimal crown system for cherry and sweet cherry varieties is the five-skeletal wall. In this case, the leaf activity index of plants reaches 3.7-4.4 m2 per crown projection area.
Germanium-Source Tunnel Field Effect Transistors for Ultra-Low Power Digital Logic

Driven by a strong demand for mobile and portable electronics, the chip market will undoubtedly impose low power as the key metric for microprocessor design. Although circuit and system level methods can be employed to reduce power, the fundamental limit in the overall energy efficiency of a system is still rooted in the Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) operating principle and its immutable physics: an injection of thermally distributed carriers will not allow for switching characteristics better than 60 mV/dec at room temperature. This constraint ultimately defines the lowest energy consumed per digital operation attainable with current Complementary-Metal-Oxide-Semiconductor (CMOS) technology. In this work, Tunnel Field Effect Transistor (TFET) based on Band-to-Band Tunneling (BTBT) will be proposed and investigated as an alternative logic switch which can achieve steeper switching characteristics than the MOSFET to permit for lower threshold (V TH ) and supply voltage (V DD ) operation. It will be experimentally demonstrated that by employing Germanium (Ge) only in the source region of the device, a record high on to off current ratio (I ON /I OFF ) can be obtained for 0.5 V operation. Technology Computer Aided Design (TCAD) calibrated to the measured data will be used to perform design optimization study. The performance of the optimized Ge-source TFET will be benchmarked against CMOS technology to show greater than 10x improvement in the overall energy efficiency for frequency range up to 500 MHz. The fundamental challenges associated with TFET-based digital logic design will be addressed. In order to mitigate these constraints, a circuit-level solution based on n-channel TFET Pass-Transistor Logic (PTL) will be proposed and demonstrated through mixed-mode simulations. The accompanying design modifications required at the device level will be discussed.
Understanding supply chain disruption risk with the aid of social networks and information flows analysis

Supply Chain Risk Management (SCRM) has become a popular area of research and study in recent years. This can be highlighted by the number of peer reviewed articles that have appeared in academic literature. This coupled with the realisation by companies that SCRM strategies are required to mitigate the risks that they face, makes for challenging research questions in the field of risk management. The challenge that companies face today is not only to identify the types of risks that they face, but also to assess the indicators of risk that face them. This will allow them to mitigate that risk before any disruption to the supply chain occurs. The use of social network theory can aid in the identification of disruption risk. This thesis proposes the combination of social networks, behavioural risk indicators and information management, to uniquely identify disruption risk. The propositions that were developed from the literature review and exploratory case study in the aerospace OEM, in this thesis are:- By improving information flows, through the use of social networks, we can identify supply chain disruption risk. - The management of information to identify supply chain disruption risk can be explored using push and pull concepts. The propositions were further explored through four focus group sessions, two within the OEM and two within an academic setting. The literature review conducted by the researcher did not find any studies that have evaluated supply chain disruption risk management in terms of social network analysis or information management studies. The evaluation of SCRM using these methods is thought to be a unique way of understanding the issues in SCRM that practitioners face today in the aerospace industry.
Learning Inference Rules with Neural TP-Reasoner

Most standard deep learning models do not perform logical rule-based reasoning like human and are hard to understand. We present a novel neural architecture, T ensor P roduct Reasoner ( TP-Reasoner ) , for learning inference rules represented with a structured representation. In TP-Reasoner, we aim to integrate symbolic inference and deep learning: we utilize the ability of Tensor Product Representation in a neural model for learning and reasoning inference rules, which extracts intermediate representations of logical rules from a knowledge base reasoning task. TP-Reasoner achieves comparable results with baseline models. Analysis of learned inference rules in TP-Reasoner shows the interpretability of logical composition via a strong neuro-symbolic representation, a novel model expressivity, and an explicit tensor product expressions.
Synthesis and Design of Microwave Filters and Duplexers with Single and Dual Band Responses

In this thesis the general Chebyshev filter synthesis procedure to generate transfer and reflection polynomials and coupling matrices were described. Key concepts such as coupled resonators, non-resonant nodes have been included. This is followed by microwave duplexer synthesis. Next, a technique to design dual band filter has been described including ways to achieve desired return loss and rejection levels at specific bands by manipulating the stopbands and transmission zeros. The concept of dual band filter synthesis has been applied on the synthesis of microwave duplexer to propose a method to synthesize dual band duplexers. Finally a numerical procedure using Cauchy method has been described to estimate the filter and duplexer polynomials from measured responses. The concepts in this thesis can be used to make microwave filters and duplexers more compact, efficient and cost effective.
Photodynamic therapy for facial skin cancer developed in the zone of previous radiotherapy (clinical case)

The results of a 13-year clinical observation of a patient after treatment for basal cell carcinoma of the skin of the right cheek Ist cT1N0M0 are presented. The history of the course of the disease is associated with the fact that the patient underwent radiation therapy in early childhood for hemangioma of the lower eyelid of the right eye and right cheek. In 2008, against the background of post-radiation changes in the area of the right cheek, basal cell carcinoma was diagnosed at the Moscow Oncological Research Institute. P.A. Herzen. At the Center for Laser and Photodynamic Diagnostics and Tumor Therapy, the patient underwent organ-preserving PDT treatment. A course of photodynamic therapy (PDT) with 5-aminolevulic acid was carried out. Subsequently, the patient was followed up until 2021 without relapse in the PDT area. In 2016, the patient was diagnosed with a relapse of the disease in the form of a new focus of basal cell carcinoma of the upper eyelid skin on the right Iast cT1N0M0. The patient underwent a course of PDT with a chlorin e6-based photosensitizer. Complete regression of the tumor was achieved, the period of relapse-free follow-up was 5 years.
Bewusstseinsstörungen

Bei (Schädel-Hirn-)Traumen besteht in der Regel kein Problem in der ätiologischen Zuordnung einer passageren, persistierenden oder progredienten Bewusstseinsstörung. Akute nicht traumatische Bewusstseinsstörungen bis hin zum Koma sind dagegen die Präsentation einer ätiologisch und prognostisch heterogenen zerebralen Fehlfunktion. Das Leitsymptom stellt eine interdisziplinäre differenzialdiagnostische Herausforderung dar. Aufgrund der hohen Vulnerabilität des Gehirns für alle schädigenden Ursachen gilt die Devise „Time is Brain“. Differenzialdiagnostisch bedarf es einer mehrdimensionalen algorithmischen Herangehensweise, um möglichst bereits in der ersten Stunde eine klare Syndromdiagnose mit einer ätiologischen Verdachtsdiagnose und ein daraus resultierendes pragmatisches Therapiekonzept zu etablieren [1]. Sowohl für die vielfältigen systemischen als auch für die primär zerebralneurologischen Ursachen der Bewusstseinsstörungen konnte gezeigt werden, dass die Schnelligkeit der getroffenen diagnostischen und therapeutischen Schritte für eine günstige Prognose entscheidend ist („Golden Hour“) [2]. Als ideale Logistik erweist sich ein interdisziplinär strukturiertes Vorgehen durch Notfallmediziner einschließlich Neurologen im Rahmen eines konservativen „Schockraumkonzepts“ [3, 4].
Battery Modeling and its Dynamics for the application in Renewable Energy Systems

In this thesis document presents recommended battery design for stand-alone photovoltaic (PV) systems. In this report, a new model of battery is developed. The developed battery model is based on battery characteristics and its behavior. It includes battery dynamic behavior like SOC, battery capacity, battery current. Batteries are getting to be progressively vital to our life as they are connected in an extent of different regions. Now a day for Photovoltaic system battery is more important especially in Stand-alone PV system where grid facility is not present where we have to store the power which is produced by PV array. In this way the unwavering quality of battery is a discriminating issue in these battery provisions. By and large, framework parts, other than PV modules, in the same way as batteries, charge controller and so forth (additionally eluded as an offset of framework) are obliged to understand a dependable source of energy. The exploration center must be given on battery demonstrating and its measuring for Stand-alone PV systems. There will be investigation of non-linear elements of battery and its displaying also. The goal is to model the battery based on circuit approach and in this way joins together the battery model with a resistive load, and external DC voltage source and thus analyzes the charging and discharging behavior of proposed battery model.
Hämodialyse

ZUSAMMENFASSUNG Die Wahl des Dialyseverfahrens erfolgt auf der Basis eines umfassenden Aufklärungsgesprächs zwischen Arzt und Patienten über die individuellen Merkmale der einzelnen Verfahren und ihrer Eignung für den Patienten. Das medizinisch beste Nierenersatzverfahren ist die Nierentransplantation, die aus verschiedenen Gründen jedoch nicht immer durchgeführt werden kann. Zwischen den beiden apparativen Dialyseverfahren Hämo- (HD) und Peritonealdialyse (PD) gibt es keine größeren, evidenzgesicherten Unterschiede bzgl. Morbidität und Mortalität, sodass hier neben einigen Ein- und Ausschlusskriterien die Patientenpriorität berücksichtigt werden muss. Zu den Patientenmerkmalen und -wünschen gehören die Auswirkung auf die Alltagsgestaltung, Berücksichtigung der Restdiurese und evtl. seltene Ausschlussmerkmale bei der Zugangswahl. Da die PD in den ersten Jahren nach Dialysestart einen evtl. Mortalitätsvorteil bieten könnte, macht es bei voraussichtlich langer Dialyseabhängigkeit deshalb Sinn, eine „Nierenersatzkarriere“ mit der PD zu beginnen und HD-Verfahren erst später zu nutzen.
Quadrature power amplifier for RF applications

A new power amplifier (PA) architecture is proposed as a more power efficient way to amplify modulated signals at radio-frequencies (RF) compared to conventional polar power amplifiers. Polar PA’s, using the Envelope Elimination and Restoration (EER) linearizing technique for high efficiency switch mode amplifiers provide amplification for modulated signals at RF with high efficiency and linearity. However, such systems require high alignment between phase and amplitude signal paths and the bandwidth of the amplitude path needs to be three to four times the RF-bandwidth. The latter directly translates to high power consumption. Instead of decomposing the quadrature signals to a phase and amplitude signal set, suggested is that the quadrature signals are to be directly amplified using a quadrature power amplifier. The lack of a separate phase and amplitude signal path avoids the linearity and bandwidth requirements, thus reducing power consumption. A possible quadrature PA architecture is presented. This architecture consists of two supply modulated switch mode amplifiers placed in a bridge and is capable of handling negative voltages, modulation and power combining at RF. Furthermore, a driver architecture is presented to properly drive the quadrature PA. Simulations results of the quadrature PA using 90nm CMOS models show a functional quadrature PA model with a power added efficiency of 30% at 6.4dBm output power driven at 2.4GHz and a maximum input power at 10MHz and 25% at 5.1dBm output power at 50MHz.
Deep Emotion Recognition in Dynamic Data using Facial, Speech and Textual Cues: A Survey

With the development of social media and human-computer interaction, video has become one of the most common data formats. As a research hotspot, emotion recognition system is essential to serve people by perceiving people’s emotional state in videos. In recent years, a large number of studies focus on tackling the issue of emotion recognition based on three most common modalities in videos, that is, face, speech and text. The focus of this paper is to sort out the relevant studies of emotion recognition using facial, speech and textual cues due to the lack of review papers concentrating on the three modalities. On the other hand, because of the effective leverage of deep learning techniques to learn latent representation for emotion recognition, this paper focuses on the emotion recognition method based on deep learning techniques. In this paper, we firstly introduce widely accepted emotion models for the purpose of interpreting the definition of emotion. Then we introduce the state-of-the-art for emotion recognition based on unimodality including facial expression recognition, speech emotion recognition and textual emotion recognition. For multimodal emotion recognition, we summarize the feature-level and decision-level fusion methods in detail. In addition, the description of relevant benchmark datasets, the definition of metrics and the performance of the state-of-the-art in recent years are also outlined for the convenience of readers to find out the current research progress. Ultimately, we explore some potential research challenges and opportunities to give researchers reference for the enrichment of emotion recognition-related researches.