Miracle-dz/UniFAR-FTUs huggingface dataset:
An analysis of personnel capacity requirement in the maintenance department by using a simulation method

A simulation modelling, using a simulation language SIMPLE++, was used to study the personnel capacity utilisation in a maintenance department. Input data included work orders with different throughput times, different personnel profile based on work order requirements, and different prioritisation rules. A decentralised maintenance department was assumed, whereby each department had its own maintenance unit. The effects of personnel organisational policies on the capacity utilisation of the personnel and on the throughput time of maintenance work orders were studied. The results of the simulation show that the best utilisation of the personnel and the best throughput time of maintenance work orders is obtained if the maintenance personnel are allowed to function across the borders of their department (here termed as exchangeability of personnel). Likewise, if there were universal maintenance personnel (i.e. who could take both electrical and mechanical work orders), then there would have been an optimum staffing of the maintenance department.
EMERGING NEED FOR MICRO-CLIMATIC CONSIDERATIONS IN URBAN DESIGN PROCESS: A REVIEW

The effects and consequences of climate change have been extensively considered in the urban design qualities. The climatic factors directly affect human activities in urban spaces, particularly in the pedestrian environment. The global issues on climate change could be well understood by understanding the contributions of climatic conditions towards thermal environmental discomforts. So, the roles and processes in urban design can be enhanced to reduce the impacts of extreme urban climate on pedestrian experiences. This current article focused on the systematic review of thermal comfort through urban designing, detailing the objectives, methods used, and the body of knowledge to deal with this issue. This paper also summarizes the current understanding and challenges in addressing the microclimatic analysis roles in human life by discussing the thermal comfort studies and literature regarding human, building, and city levels. Finally, this systemic study demonstrated the needs and potential assessments based on the quality and standardization of human-centric data collection and interpretation. It specifically addressed an urban planner's structure that could be used as an empirical method during the urban planning processes. In conclusion, the applications of the recommended methods identified in this study aid in the design decisions to shift towards climate comfort in urban spaces.
VMRR_A_339042 337..345

1College of Agriculture and Natural Resource, Asossa University, Asossa, Ethiopia; 2Department of Clinical Medicine, College of Veterinary Medicine and Agriculture, Addis Ababa University, Bishoftu, Ethiopia Background: Equine herpesvirus (EHV) infections have major economic, health, and welfare impacts on equids. This study was performed in three selected zones of central Ethiopia with the objectives of detecting EHV-1, -2, and -5 in horses and donkeys with suggestive signs of respiratory tract disease and to assess epidemiological risk factors associated with infections. Methods: A total of 58 nasopharyngeal swab samples were collected from donkeys and horses showing clinical signs of respiratory disease. Polymerase chain reaction (PCR) was used to detect EHV-1, -2, and -5. Evaluation of the associated risk factors was conducted using a multivariable logistic regression model. Results: Among the 58 equids tested, 36 (62%), 31 (53%), and 15 (25%) equids were positive for EHV-1, -2, and -5, respectively. Concurrent infections with EHV-1 and EHV-2 (31%), EHV-1 and EHV-5 (17%), EHV-2 and EHV-5 (15.5%), and EHV-1, -2, and -5 (13%) were recorded. EHV-1 was detected significantly in higher proportion in donkeys (76%; 95% CI: 1.066–2.251; P = 0.047) compared with horses (51.5%). In contrast, horses had fourteen times more likely to be positive for EHV-2 (OR: 13.66; 95% CI: 3.119–59.816; P = 0.001) compared to donkeys. Detection of EHV-1, -2, and -5 was no significant association with age, sex, and body condition score. Conclusion: The present study revealed the molecular evidence of EHV-1, -2, and -5 infection in donkeys and horses with signs of respiratory disease. It also documented that donkeys and horses have varying levels of susceptibility to EHVs. This species-specific in susceptibility difference to EHVs infections should be further elucidated.
Milestones of microwaves

This paper presents a compilation of the important milestones in the development and applications of microwave technology from the time of Hertz until 1980. The years from 1980 to the present are not addressed since this period will be covered in depth in other papers of this Transactions. The primary technology areas addressed are electromagnetics, guided microwave structures, free-space propagation, power generation using tubes and solid-state devices, passive devices, microwave integrated circuits, ferrites, microwave acoustics, and microwave biological effects. The primary application areas are communications, radar, heating, and medical applications. Design techniques, measurements, and instrumentation are also discussed.
Roles Matter! Understanding Differences in the Privacy Mental Models of Smart Home Visitors and Residents

In this paper, we contribute an in-depth study of the mental models of various roles in smart home ecosystems. In particular, we compared mental models regarding data collection among residents (primary users) and visitors of a smart home in a qualitative study (N=30) to better understand how their specific privacy needs can be addressed. Our results suggest that visitors have a limited understanding of how smart devices collect and store sensitive data about them. Misconceptions in visitors’ mental models result in missing awareness and ultimately limit their ability to protect their privacy. We discuss the limitations of existing solutions and challenges for the design of future smart home environments that reflect the privacy concerns of users and visitors alike, meant to inform the design of future privacy interfaces for IoT devices.
Parameter Optimization of Street-Phelps Model Based on Particle Swarm Optimization

Particle swarm optimization (PSO) is introduced and tried to optimize the parameters of Street-Phelps model. Here, the inertial adjustment method was used to adopt the inertial weight of PSO. Parameters of Street-Phelps model were optimized by PSO, the performance is compared with other method. Results show that PSO plays an important role in solving global optimization problem, and demonstrate the effectiveness and higher accuracy than other methods.
The Influence of Costumes on the Perception of Dance: Review

Dancers spend several hours’ daily training in studios where mirrors are present. Observations in the mirror serve as feedback for establishing line, unison, and clarity, and may also impact their perceived performance. As such, clothing may also influence perception of performance ability. Dance is also considered as the essence of the national culture. In the national dance, dancing costumes can help to reflect the role, express the contents and embody the depth of the dance. This study explores clothing as a potential contributing factor to a dancer’s perceived self-confidence and performance ability while executing movement.
“Data reduction in WSN using Machine Learning for CCTV data”

Wireless sensor networks consist of spatially distributed sensor nodes to sensing, processing, and monitoring environmental parameters to reporting at the sink node (base station). Sensor nodes are transmitting data from the sensor node to the base station. Sensor nodes are measured data adaptively or dynamically using throttling techniques to reduce data and transmit it to the base station. In throttling data reduction technique threshold exceed data transmit from sensor nodes to sink node. In WSN minimize energy consumption using the data reduction throttling algorithm to reduce the size of data. Here, we proposed a Controlled Duty Cycle Scheme for minimizing energy consumption in a wireless sensor network. The controlled Duty Cycle Scheme is used for energy efficiency to increase routing fairness. The main goal of data reduction with the Controlled Duty Cycle techniqueis to increase the life of the Wireless sensor network by consuming minimum energy.
Oscillation-based test in digital shapers

We address the problem of testing digital shapers used for nuclear spectroscopy. Particularly, we propose a solution based on the oscillation-based test (OBT) for testing the finite impulse response (FIR) filters of the shaper. The OBT strategy developed here exploits the natural partition of the system in high-pass and low-pass sections for implementing two different non-linear oscillators. The oscillation parameters are obtained in advance using two different approaches: one based on the filter signal flow-graph; the other based on the describing function technique. The fault simulation results show high fault coverage and acceptable test time. Additionally, we suggest the use of this test strategy in a BIST environment, because it does not need resources for pattern generation and presents both low system intrusion and low hardware overhead.
Fiber-optic microwave transmission using harmonic laser mixing, optoelectronic mixing, and optically pumped mixing

Three fiber-optical link configurations are proposed for use in microwave and millimeter-wave signal transmission. Harmonic laser mixing, optoelectronic mixing and optically pumped mixing are successfully utilized to achieve high carrier frequencies in fiber-optic links. The performance of harmonic laser diode mixers is experimentally investigated in the X-band. The p-i-n photodiode is used as an optoelectronic microwave mixer and an optically pumped microwave mixer, and the microwave characteristics of these mixers are demonstrated. These three fiber-optic link configurations show promise in transmitting microwave and millimeter-wave frequencies. >
Learning And Testing Fingerspelled Signs Using Deep Learning

: Sign Language is one among the media of communication for deaf people. One should learn signs to interact with them. Learning usually takes place in peer groups. There exist very few study materials for sign learning. Because of this, the method of learning signing learning may be a difficult task. Fingerspelled sign learning is the initial stage of sign learning and moreover, are used when no corresponding sign exists or signer is not aware of it. Most of the prevailing tools for sign learning use external sensors which are costly. This paper discusses SignQuiz, which can be an economical web-based fingerspelled sign learning application for Indian signing (ISL) utilizing automatic signing recognition technique. It works in two modes, learning and testing. In learning mode, signs are listed and one can learn the signs by clicking on the required ones. In testing mode, the user is tested for the learned signs. SignQuiz helps to find out signs with none external help. This is the first attempt in ISL for learning finger spelled signs using a deep neural network. The results indicate that SignQuiz is best than the printed medium for fingerspelled sign learning.
Determination of canine olfactory thesholds using operant laboratory methods

This paper reports the results of a study using operant conditioning methods under laboratory conditions to determine the absolute threshold of dogs to an explosive compound. Testing was conducted in a behavioral laboratory setting consisting of a fully enclosed experimental chamber in which each dog worked, an olfactometer permitting the presentation of odors in precise concentrations expressed in terms of dilution of saturated vapor, and a computer that controlled all stimuli presented to the dog and recorded data. A series of daily sessions consisting of repeated trials of this procedure were conducted with 10 dogs. Throughout each session, the dilution of a saturated vapor in the air stream was systematically varied among dilutions above and below threshold, randomly alternating with clear air, until a threshold was determined. These procedures permitted the determination of absolute olfactory thresholds for a number of compounds. Data are reported regarding the variability of threshold performance across dogs for a single compound. Possible application of this testing technology to other questions are also discussed.
Property Correlations of Polypropylene based Composites Filled with Mimusop elengi Seed Shell Powder

The saturation point of Mimusop elengi seed shell powder (MESSP) and the effect of MESSP addition on the mechanical, thermal, water absorption and morphological properties of polypropylene (PP) composites were studied. Tensile fracture, physio-mechanical properties and thermal behavior of composites were characterized using tensile and impact testing, thermogravimetric analysis, scanning electron micrograph, and differential scanning calorimetry. Processability of composites were feasible up to 20 wt. % MESSP by which agglomeration of MESSP and poor dispersion of MESSP in PP was observed above 20 wt% MESSP loading. Increasing MESSP loading showed tremendous improvement in tensile modulus and impact strength, whereas tensile strength and elongation at break were reduced. Water absorption and thermal decomposition of composites remain comparable with addition of MESSP up to 20 wt. %. Reduction of tensile strength was attributed by weak adhesion between MESSP and PP. However, morphological analysis revealed the presence of physical interaction via PP chain interlocking on MESSP surface.
The Design of an Augmented Reality Based Rigid Body Motion Experiment System

The authors have designed an augmented reality based rigid body motion experiment system (ARRBMES), which could capture the physical motion information from the interaction between the users and virtual rigid bodies in real-time. The launcher and the container of the rigid bodies in this system are all positioned by tag cards, and the initial physical quantities of the rigid bodies are captured and analyzed through the motion information of the launcher tag card. Then ARRBMES will realize the real-time display of rigid body motion and collision events in a virtual-real fusion environment. ARRBMES can simulate the motion of rigid bodies in ideal state which cannot be achieved in the real world. As a result, the users can obtain realistic experience and the system can increase their physical intuition and cognitive experience. Moreover, ARRBMES can obtain physical information from the interaction in real-time between users and the system, which makes it a special Cyber-Physical System.
Forecast of the development of an emergency at hydraulic structures of the Republic of Tatarstan

At present, a large number of hydraulic structures have been erected on the territory of the Republic of Tatarstan, which are classified as hydrodynamic hazardous facilities. Accidents at these facilities are sources of man-made emergencies. A number of hydraulic structures on the territory have been in operation without reconstruction for more than 70 years. The problem of ensuring the safety of hydraulic structures remains not fully understood and relevant today. Basically all hydraulic structures are located within or above settlements and are objects of increased risk. The consequences of a catastrophic flood can be aggravated by accidents at potentially dangerous facilities falling into its zone. The damage caused by such floods can amount to tens of millions of rubles. Incomplete destruction of the dam, when the safe operation of the structure is no longer possible, can lead to serious economic losses as a result of the cessation of energy production, hydraulic regulation and water collection in the reservoir. Careful monitoring is required in order to identify any possible emergencies. One of the solutions in this situation is the use of various methods for predicting emergency situations at hydraulic structures. In this regard, in the work, the authors have adapted a mathematical model based on Markov chains, which is distinguished by the efficiency of calculations and a high degree of approximation to statistical data. This model makes it possible to predict the state of hydraulic structures when the data on the water level and the volume of infiltration in the hydraulic structure changes. Based on the adapted model, the results of forecasting the water level for real hydraulic structures were obtained.
Risk of Occupational Exposure to Cryptosporidium, Giardia, and Campylobacter Associated with the Feces of Giant Canada Geese

Giant Canada geese (Branta canadensis maxima), which are nesting locally in Northwest Ohio and other parts of the state, are commonly perceived as a public nuisance when they inhabit urban areas. The feces of giant Canada geese litter both grass and pavement in many occupational and recreational sites in the Toledo area. The purpose of this study was to identify sites with fecal droppings of giant Canada geese that test positive for Cryptosporidium, Giardia, and Campylobacter, qualitatively assess the occupational risks of infections, and recommend protective measures. The fecal droppings of giant Canada geese were tested for Cryptosporidium, Giardia, and Campylobacter, using sensitive monoclonal enzyme immunoassay (EIA) methods. Fourteen out of 16 sites tested positive for at least one pathogen. None tested positive for all three. Cryptosporidium was the most common infectious organism found in the fecal droppings. It was detected in 14 out of 18 (77.8%) samples. Campylobacter was found in 7 out of 18 (3.
Geoenvironmental justification for determining the nature conservation potential of areas

In article the geoenvironmental approach offered by authors to an estimation of environmental conservation potential of natural area is presented. The basic estimation criteria are revealed and justified. An estimation of environmental conservation potential is carried out on the basis of estimation criteria which characterize natural area in terms of determining of its natural potential. It is proposed to use the following main factors in the assessment of the environmental conservation potential: geodiversity, dangerous natural phenomena, biodiversity and anthropogenic pressure. These factors are used by various authors for the assessment of separate types of environmental conservation potentials. For each factor their use in the complex geoenvironmental approach in an estimation of environmental conservation potential of areas is justified. In paper it is marked, that the offered approach of an estimation of environmental conservation potential of natural area is partly universal in use and allows entering additional criteria of estimation within each factor.
Energy aspects in osmotic processes

Water, energy and environmental issues are on the top list of the world problems. Energy is needed for augmenting our water resources. Renewable energies are hardly the answer since innovative techniques based on biofuels and biodiesel consume an incredible amount of water. The modern desalination techniques in use consume different energy levels from different sources. Thermody namics sets the absolute minimum limit of the work energy required to separate water from a salt solution. Unavoidable irreversibilities augment the actual energy consumption. Modern desalination techniques have succeeded in narrowing considerably the gap between actual and minimum energy levels. The implication of this small gap is that only marginal energy reductions are possible. Energy consumption of different desalination processes are reviewed. Forward osmosis is shown to be a high energy consumption process. It offers, however, advanced cost effective backwash techniques. The limitations of power generation by osmotic processes is discussed. Sidney Loeb together with Sourirajan were the pioneers that opened the door and introduced the RO process that allows us to desalinate seawater and brackish water at affordable energy consumption. Loeb continued during his last years to develop the osmotic energy machine, and even tried to develop an air condition system based on water evaporating from tubular membranes.
Real-Time Ultrasound Simulation for Medical Training and Standardized Patient Assessment

REAL-TIME ULTRASOUND SIMULATION FOR MEDICAL TRAINING AND STANDARDIZED PATIENT ASSESSMENT Bo Sun Old Dominion University, 2007 Director: Dr. Frederic D. McKenzie With the increasing role played by ultrasound in clinical diagnostics, ultrasound training in medical education has become more and more important. The clinical routine for ultrasound training is on real patients; therefore monitored and guided examinations involving medical students are quite time-constrained. Furthermore, standardized patients (SPs), who are increasingly used in medical school for teaching and assessing medical students, need to be augmented. These SPs are typically healthy individuals who can not accurately portray the variety of abnormalities that are needed for training especially when medical examinations involve instrument interactions. To augment SPs in a realistically effective way and also address the resourced time constraints for sonography training, a computerized ultrasound simulation is essential for medical education. In this dissertation, I investigate a real-time ultrasound simulation methodology based on a virtual 3-dimentional (3-D) mesh organ. This research has developed the simulation technology to augment SPs with synthetic ultrasound images. I present this methodology and its use in simulating echocardiography. This simulated echocardiogram displays the various oriented sonographs in real time according to the placement of a mock transducer without the need of an actual patient.
Evaluation of factors affecting mortality in cardiac arrest patients in the emergency department: A 5-year study

DOI: 10.4328/ACAM.20931 Received: 2021-11-01 Accepted: 2021-12-06 Published Online: 2021-12-11 Corresponding Author: Nezih Kavak, Department of Emergency, Dışkapı Yıldırım Beyazıt Training and Research Hospital, University of Health Sciences, Altındağ, 06110, Ankara, Turkey. E-mail: nezih_kavak@hotmail.com P: +90 532 255 11 79 / +90 312 596 20 00 F: +90 312 318 66 90 Corresponding Author ORCID ID: https://orcid.org/0000-0003-2751-0046 Abstract Aim: To evaluate factors affecting mortality from cardiac arrest (CA) in the emergency department (ED). Material and Methods: Age groups, gender, location of CA, admission day, admission time, comorbidity, number of comorbidities, etiology, cardiac rhythm documented at the time of initiation of CPR (cardiopulmonary resuscitation), time interval from collapse to start of CPR, CPR duration, and mortality were evaluated. Results: Of the 1932 patients, 1333 (69%) were male; 1582 (81.9%) patients died. Mortality in males was higher (p<0.05) and it was higher in patients aged 45 to 64 years and those aged 75 years (p<0.001). Mortality was higher in out-of-hospital CA (p<0.001). Mortality was high in patients who with comorbidities and those with more than 3 or 4 comorbidities (p<0.001). Mortality in non-cardiac CA was higher (p<0.001). Mortality was high in patients whose rhythms documented at the time of initiation of CPRs were pulseless electrical activity asystole and were not observed (p<0.001). Mortality was high in patients whose time interval from collapse to the start of CPR duration was longer than 0-5 minutes (p<0.001). Age, male gender, number of comorbidities, out-of-hospital CA, asystole and no observed rhythm documented at the time of initiation of CPR, time interval from collapse to start of CPR and CPR duration above 5 minutes (p<0.001 for all), and non-cardiac etiology (p=0.018) were determined as independent predictors for mortality in logistic regression analysis. Discussion: Evaluation of the factors affecting mortality in CA is important for the survival of CA patients.