Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of source extension junction depth and substrate doping concentration on I-MOS device characteristics

Some device design issues of the impact-ionization MOS (I-MOS) device are discussed in terms of the junction depth of the source extension region and the substrate doping concentration. It is found that the source extension region is needed to be as shallow as possible in order to minimize the avalanche breakdown voltage. Furthermore, it is observed that the dependence of the threshold voltage of the I-MOS device on the substrate doping concentration is contrary to that of the MOSFET, which is an interesting phenomenon. It is related to the junction abruptness between the channel and the i-region, which is explained by using the concept of maximum lateral electric field.
Thrombosis and Anticoagulant Therapy Among Pediatric Cancer Patients: Real-Life Data

Background: Venous thromboembolism (VTE) in children is relatively rare, and more so among those with cancer. In this study, we report the characteristics and outcomes of children with cancer-associated thrombosis. Methods: We reviewed institutional databases for all children with cancer and a diagnosis of VTE at King Hussein Cancer Center in Jordan. Variables reviewed are patients’ clinical characteristics, treatment for cancer, and anticoagulation therapy. Results: Between January 2011 and December 2018, a total of 45 patients fulfilled the inclusion criteria, and the median age was 10.4 (0.8-17.9) years. The most common underlying diagnosis was acute lymphoblastic leukemia (n = 13, 29%). At the time of VTE, 29 (64.4%) patients were receiving chemotherapy, and eight (17.8%) had a central venous catheter (CVC). The majority of patients (n = 37, 82%) developed VTE within 30 days of hospitalization. Thrombosis mostly involved the extremities (n = 23, 51%) and sagittal vein (n = 12, 26.7%). All patients were treated with low-molecular-weight heparin (LMWH), complicated by bleeding in three (6.6%) patients. Conclusion: In contrast to adults, VTE in pediatric cancer patients is more associated with chemotherapy and recent hospitalization. LMWH is a safe and effective therapy for children with cancer who develop VTE.
Environmental Factors and Male Infertility

A significant decrease in human fertility has been observed in the last 50 years. Approxi mately 15% of couples of reproductive age have fertility problems and about half of these cases are because of male factors. A growing body of evidence suggests that environmental factors play an important role in the causes of male infertility. Our environment is contaminated by natural and synthetic chemicals, which could interact with the endocrine system, resulting in the reduction of human fertility. Studies carried out in recent years have proven that endocrine-disrupting chemicals may disturb fertility of men. Improper lifestyle factors such as smoking, alcohol consumption, high temperature, radiation also have negative impact on male fertility. This chapter is an overview of recent developments about the importance of endocrine-disrupting chemicals and lifestyle factors’ effects on sperm counts and male fertility in human.
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement

Large scale training requires massive parallelism to ﬁnish the training within a reasonable amount of time. To support massive parallelism, large batch training is the key enabler but often at the cost of generalization performance. Existing works explore adaptive batching or hand-tuned static large batching, in order to strike a balance between the computational efﬁciency and the performance. However, these methods can provide only coarse-grained adaption (e.g., at a epoch level) due to the intrinsic expensive calculation or hand tuning requirements. In this paper, we propose a fully automated and lightweight adaptive batching methodology to enable ﬁne-grained batch size adaption (e.g., at a mini-batch level) that can achieve state-of-the-art performance with record breaking batch sizes. The core component of our method is a lightweight yet efﬁcient representation of the critical gradient noise information. We open-source the proposed methodology by providing a plugin tool that supports mainstream machine learning frameworks. Extensive evaluations on popular benchmarks (e.g., CIFAR10, ImageNet, and BERT-Large) demonstrate that the proposed methodology outperforms state-of-the-art methodologies using adaptive batching approaches or hand-tuned static strategies in both performance and batch size. Particularly, we achieve a new state-of-the-art batch size of 78k in BERT-Large pretraining with SQuAD score 90.69 compared to 90.58 reported in previous state-of-the-art with 59k batch size.
Approximate optimization of convex functions with outlier noise

We study the problem of minimizing a convex function given by a zeroth order oracle that is possibly corrupted by outlier noise . Speciﬁcally, we assume the function values at some points of the domain are corrupted arbitrarily by an adversary, with the only restriction being that the total volume of corrupted points is bounded. The goal then is to ﬁnd a point close to the function’s minimizer using access to the corrupted oracle. We ﬁrst prove a lower bound result showing that, somewhat surprisingly, one cannot hope to approximate the minimizer nearly as well as one might expect, even if one is allowed an unbounded number of queries to the oracle. Complementing this negative result, we then develop an efﬁcient algorithm that outputs a point close to the minimizer of the convex function, where the speciﬁc distance matches exactly , up to constant factors, the distance bound shown in our lower bound result.
Artificial Intelligence enabled Dynamic Coalition Architecture for Space Traffic Management

We have now entered a new space age—where technical barriers and cost of access to space are rapidly decreasing. The easier accessibility is fostering a new commercial entrepreneurialism that is excited about using space-based systems to transform a broad range of ground-based enterprises. This rapidly increasing pace of international space activity is also generating new challenges for flight safety and Space Traffic Management (STM) in near-Earth orbit. One of the key STM challenges is developing a reliable sensor ecosystem that can persistently monitor space traffic to provide accurate measurements and actionable information on traffic anomalies in real time. A consequence of this persistence requirement is the need to globally distribute the sensors, creating a strong demand for new approaches to international STM cooperation. We present a concept for a collaborative STM architecture based on the Dynamic Coalition Architecture (DCA) designed to enable coordinated space surveillance by independent organizations. The DCA employs Artificial Intelligence (AI) concepts drawn from distributed problem solving and multi-agent system research to organize sensors into an efficient sensing ecosystem, and allow entities with different priorities to pool assets on case-by-case basis, while ensuring that the autonomous collection provides reliable measurements. We describe a simulation environment that we are developing to explore the DCA concept employing Case-Based Reasoning to coordinate real-time follow-up of emergent STM anomalies. We present the first results from our simulations and briefly discuss issues associated with sensor coalition formation and management such as the real-time negotiation, modeling sensor effectiveness, and autonomous collaborative space surveillance.
In‐line RF‐MEMS series switches for reconfigurable antenna applications

The air bridged RF‐MEMS capacitive series switches in single pole single throw transmission lines for reconfigurable antenna applications are presented. The RF characteristics of capacitive series switches are analyzed, measured, and compared with microstripline and coplanar‐waveguide, which are generally used for transmission lines of MEMS reconfigurable circuits. RF‐MEMS series switches are fabricated in both transmission lines on a glass substrate (εr = 7.4 and tan δ = 0.001). The reconfigurable beam steering spiral antenna (fo = 11 GHz), which is monolithic integrated with RF‐MEMS capacitive series switches on the same glass substrate, is also presented as an example of the use of in‐line capacitive series switches. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 3130–3134, 2007; Published online in Wiley Inter‐Science (www.interscience.wiley.com). DOI 10.1002/mop.22971
The Alternative-Dependent Focal Luce Model

We introduce the alternative-dependent focal Luce model (ADFLM), which is a random choice model that generalizes the well-known Luce (1959) model. In the ADFLM, focal alternatives are chosen more frequently relative to their utilities. We show that we can identify utilities, focal sets and the magnitude of focal biases from choice data. We also axiomatically characterize the ADFLM by weakening IIA. Our model can explain the well-known behavioral phenomena, the attraction and compromise effects.
A unified classification of manufacturing strategies and design processes

This article categorises manufacturing strategy design processes and presents the characteristics of resulting strategies. This work will therefore assist practitioners to appreciate the implications of planning activities. The article presents a framework for classifying manufacturing strategy processes and the resulting strategies. Each process and respective strategy is then considered in detail. In this consideration the preferred approach is presented for formulating a world class manufacturing strategy. Finally, conclusions and recommendations for further work are given.
The implementation of a model for integration of MRP II and TQM

A way of initiating and sustaining the implementation of total quality management (TQM) by exploiting the widely adopted manufacturing resource planning (MRP II) is presented. A detailed analysis of MRP II software has found that they have a number of inherent features that can be further extended to organizational performance including operations efficiency, responsiveness, company‐wide problem‐solving capability and product quality. This paper contributes in the development of a model for the MRP II with the incorporation of mechanisms to initiate a culture change in the organization towards TQM. In the adaptation of MRP II to guide the implementation of TQM, a structural analysis technique was proposed to help develop a model and methodology for the integration. In the structural analysis, an IDEF model of a “reference” company structure was created to illustrate and describe the integration. The reference company, which is a lamp manufacturer, is used to illustrate the systematic implementation of the.
Reporting requirements and performance measures in integrated approximate factory modelling

Simulation is an established method of predicting, in detail, the performance of manufacturing systems at the shop or cell level. Recent developments in computer hardware and software technology, combined with methodologies for approximate modelling, allow the extension of simulation to modelling of complete factories or manufacturing enterprises. Such applications require appropriate performance measures, possibly different from those generated in more detailed simulation, to be derived from the models. Examines the performance measures which can be usefully predicted by such models, their relationship with one another, and their propagation through the hierarchical structure of factory management systems. Applies practically the taxonomy of performance measures derived to industrial case studies, and includes a brief example of application.
Assessment of Pond Productivity in African Catfish Farms

The study was conducted in Coast region specifically in Kibaha, Kisarawe and Bagamoyo Districts. study aimed to determine water quality dynamics, pond characteristics and productivity; and nutritive values of feeds used in catfish farm. Water quality parameters was measured by water proof portable logging multi-parameter meter HANNA MODEL (H198194), feed samples were collected from catfish farmers and proximate analysis was conducted according to standard procedures given in Association of official Analytical Chemists (AOAC,1980), pond characteristics and productivity data were collected through self-administered questionnaires. Results indicated that Bagamoyo had highest temperature (29.94°C±1.70), pH (7.58±0.86) and DO (6.16ppm±0.76). Kisarawe showed highest TDS (1536.12ppm±2236.183) and Salinity (0.74±0.03), Kibaha indicated highest conductivity (1832/Ω/cm±60.69). The CP content was highest in feed sample A (32.96%) and lowest for feed sample E ( 16.85%), Feed C had highest crude fibre CF (11.04%) and sample A had lowest CF (0.36%). Feed A C had lowest EE (3.23%) and highest EE (9.76%) respectively. Highest and lowest fish yield, revenue and profit were recorded in Bagomoyo and Kibaha respectively, highest and lowest FCR were recorded in Kibaha (1.119) and Bagomoyo (0.794) respectively. The highest TDS was recorded in Kisarawe. Government should identify aquaculture zones, give subsidies to seed and feed manufactures so that farmers can incur little cost of production and impose inspections to feeds which are being manufactured.
Indirect current control of a unity power factor sinusoidal current boost type three-phase rectifier

The indirect current control scheme has evolved from the success of the hysteresis current controlled voltage regulated rectifier, which has been shown to be capable of: unity and even leading power factor operation; near sinusoidal current waveforms; and bilateral power transfer without the need of bi-directional solid state power switches. The advance consists of replacing the inner hysteresis current feedback loop by the standard sinusoidal PWM control and in the process saving the cost of the current measuring transducers. The scheme is evaluated through tests on 1 KW size laboratory models and through digital simulations. A theory of the system dynamics is developed and stability boundaries are presented. >
A Real-Time Mobile Vehicle License Plate Detection and Recognition

In this paper we present a instant and real-time mobile vehicle license plate recognition system in an open environment. Using a nonfixed video camera installed in the car, the system tries to capture the image of the car in front and to process instant vehicle license plate detection and recognition. We utilize the color characteristics of the barking lights to carry out license plate detection. We first detect the location of the two barking lights in the captured image. Then set license plate detection region using the probability distribution of the license plate between the two lights. This method can eliminate any environmental interference during the license plate detection and improve the rate of accuracy of license plate detection and recognition. Moreover, we use the morphology method Black Top-Hat to enhance the level of separation of the license plate characters. Experiments show that the system can effectively and quickly capture the vehicle image, detect and recognize the license plate whether it is in daytime, nighttime, clear day, raining day or under complicated environment.
The Role of the Constitutional Court in the Implementation of the Principle of Checks and Balances System

The article deals with the analysis of the place and role of the Constitutional Court in the system of separation of powers, for the effective implementation of the system of checks and balances. The institutional and legal model of interaction of constitutional justice authorities with legislative and executive bodies is formulated on the basis of the comparative legal analysis of the regulatory legal acts establishing the powers of constitutional jurisdiction authorities in the mechanism of implementation of the system of checks and balances on the example of different countries with different forms of government, a number of conclusions and suggestions are provided.
Double-negative reconfigurable resonator with cross-polarised split rings

Double-negative metamaterials using cross-polarised split-ring resonators in a microstrip line have been implemented. The split-ring resonators comprised quad ring structures and were connected with the microstrip line in series. Four different structures, with the shorted rings in varying locations, were fabricated to demonstrate reconfigurable bandpass characteristics. The effective permittivities and permeabilities were extracted using the Ziolkowski method. Excellent agreement between the developed circuit model and the measurement was observed up to 10 GHz.
A model for trialling alcohol ignition interlocks in Queensland

This paper describes the development of a model for the trialing of alcohol ignition interlocks with drink driving offenders in Queensland. A range of information sources were used to develop the model, including: an extensive review of the international literature relating to interlocks; an analysis of data relating to the operation of the Under the Limit rehabilitation program in Queensland; and extensive consultation with key government and non-government stakeholders. These investigations revealed support for a judicially imposed model similar to that used for Under the Limit. It is proposed that Magistrates in selected courts will offer drink driving offenders the option of driving an interlock-fitted vehicle for a period of time, most likely in return for receiving the minimum period of licence disqualification. In addition to the interlock requirement (the experimental condition), the offenders in the trial will also complete Under the Limit during their disqualification. A comparison group of offenders will complete Under the Limit, but not be offered the interlock option.
Magnetic Circuit & Torque Analysis of Brushless DC Motor

This work is concerned with magnetic and torque analysis of BLDCM and with development of a method of designing BLDCM that have symmetric winding on the rotor . make significant contribution to the rotor inductance position difficult. It is also show that the prediction detent torque can be extremely sensitive to the permanent magnet by altering magnet arc width. Finally, simple lumped models that allow one to predict motor performance and characteristics as a function of main dimension, magnet residual flux density and phase current are developed. These models are used as a basis for an approach to designing BLDCM.
Characterizations of Water Vapor Flux and Precipitation over Arid Region under Climate Change

In this paper the variations and distributions of water vapor transportation and precipitation in typical arid region, Tarim River Basin (TRB), were analyzed and the relationship between them was discussed, using daily precipitation data of 26 weather stations in TRB and NCEP/NCAR monthly mean reanalysis data (2.5°×2.5°). The results show that a) the special distribution of precipitation and water vapor flux appear seasonal features, but is not consistent with each other for the multi-joint action of large-scale atmospheric circulation, topography around TRB, and b) the effects of water vapor flux on precipitation are different in sub-regions with different height and slop direction.
Premenstrual Syndrome (PMS) Treatment with Physiological Modulators

Background: Premenstrual Syndrome (PMS) is a very common disease in females, and safe treatments are stillneeded. Objective: To treat symptoms of PMS using a combination of natural products at low dosages following the conceptsof Physiological Modulation. Methods: Twenty two female affect by PMS were admitted and treated with a combination consisting of calcium,Vitamin D, lycopene, astaxanthin, and citrus bioflavonoids (Formula A28) in comparing with placebo. Twotablets/day were given at the moment of symptoms appearance and for the following three days.The scoring of somatic and behavioral symptoms (in total 32) was applied using a scale between 0 (no symptom) to 4(maximum expression of the symptom). The main variable to be measured was the sum of the scores (total score). Results: Formula A28 was effective in reducing by 75% the total score (t-test p<0.05) and each of the symptoms(somatic and behavioral) was significantly reduced (p<0.05 U Mann Whitney test) from the 63% (anxiety) up to 96%(indecision). Colic pain was also consistently reduced (83%). Conclusion: The approach to reduce symptoms of PM Susing Physiological Modulators was found to be effective.
Fault Tolerant Real Time Dynamic Scheduling Algorithm For Heterogeneous Distributed System

Fault-tolerance becomes an important key to establish dependability in Real Time Distributed Systems (RTDS). In fault-tolerant Real Time Distributed systems, detection of fault and its recovery should be executed in timely manner so that in spite of fault occurrences the intended output of real-time computations always take place on time. Hardware and software redundancy are well-known e ective methods for faulttolerance, where extra hard ware (e.g., processors, communication links) and software (e.g., tasks, messages) are added into the system to deal with faults. Performances of RTDS are mostly guided by eciency of scheduling algorithm and schedulability analysis are performed on the system to ensure the timing constrains. This thesis examines the scenarios where a real time system requires very little redundant hardware resources to tolerate failures in heterogeneous real time distributed systems with point-to-point communication links. Fault tolerance can be achieved by.
A Field Study of Green Roof Hydrologic and Water Quality Performance

Recent regulations intended to minimize the amount of nitrogen and phosphorus in stormwater runoff have resulted in interest in stormwater treatment practices to reduce nutrient loadings. In ultra-urban areas where typical treatment practices are not optimal because of large surface area requirements, green roofs are an option to improve stormwater runoff. The hydrologic and water quality performance of two extensive green roofs in eastern North Carolina's Neuse River basin were investigated. The two green roof designs were a flat 70 m2 area with an average media depth of 75 mm, and a 3% pitch 27 m2 surface area roof with an average media depth of 100 mm. Extensive green roofs typically have shallow media depths (less than 150 mm) with vegetation that requires minimal irrigation and maintenance. Each green roof retained a significant (p < 0.05) proportion of the rainfall observed, 64% of the total rainfall measured at each site. Peak outflow of runoff was significantly reduced (p < 0.05) from the green roof (average peak flow reductions of more than 75% were observed from each green roof), and each green roof substantially delayed runoff. On average, the total nitrogen (TN) concentrations in the green roof outflow were 2.7 mg L-1 higher than the rainfall (significant at p < 0.05) and 1.3 mg L-1 higher than the control roof outflow; TN amounts in the green roof outflow were 0.02 g higher than the rainfall and 0.12 g lower than the control roof outflow. On average, total phosphorus (TP) concentrations in the green roof outflow were 1 mg L-1 higher than the rainfall and 0.8 mg L-1 higher than the control roof outflow (both significant at p < 0.05); TP amounts in the green roof outflow were 0.07 g higher than the rainfall (significant at p < 0.05) and 0.05 g higher than the control roof outflow. It was determined that the media, composed of 15% compost, was leaching TN and TP into the green roof outflow. This field study demonstrated the importance of green roof media selection in locations where nutrient removal is a concern. Results from this study serve as a benchmark for the development of an optimal media that contains fewer nutrients initially within the media mix, yet provides adequate plant growth.