Miracle-dz/UniFAR-FTUs huggingface dataset:
Helical or Spiral CT

9.1 Introduction Helical CT (also called spiral CT) was introduced commercially in the late 1980s and early 1990s. Helical CT has expanded the traditional CT capability by enabling the scan of an entire organ in a single breath-hold. It is safe to state that helical CT is one of the key steps that moved CT from a slice-oriented imaging modality to an organ-oriented modality. The difference in the naming convention between helical and spiral CT is due mainly to different CT manufacturers. For all practical and technical purposes, there is no difference between the two. To avoid confusion, we will use the term âhelicalâ throughout this chapter. 9.1. 1 Clinical needs All previous chapters have focused on a single scanning protocol: the step-and-shoot mode. This scanning protocol contains both a data acquisition period and non-data-acquisition period. During the data acquisition period, the patient remains stationary while the x-ray tube and detector rotates about the patient at a constant speed. Once a complete projection dataset is acquired for the slice, the non-data-acquisition period starts. The x-ray tube is turned off and the patient is indexed to the next scanning location. For typical CT scanners, the minimum non-data-acquisition period is on the order of seconds as a result of both mechanical and patient constraints. The mechanical constraint is due to the fact that a typical patient weighs over 45 kg, and the patient table requires a certain amount of time to move a large mass from one location to another. The cause of the patient constraint may not be as obvious. From the law of physics we know that to move a resting object over a short distance, first we must accelerate the object up to a certain speed and decelerate the object when it is near the target location. Since the distance between adjacent scanning locations is typically a few millimeters, the amount of acceleration and deceleration is fairly large. A human body is not rigid (the internal organs can move and deform), so the acceleration and deceleration will likely induce motion in the patient. As a result, a certain amount of time must elapse to minimize motion artifacts. In the late 1980s, the CT scan speed approached one second per revolution.
MEDIATING EFFECT OF POSITIVE EMOTIONS ON WORK-LIFE BALANCE AND EMPLOYEE PERFORMANCE

Work-life balance is an important issue that the company must consider because it will affect productivity, satisfaction, and employee performance. This study investigates how work-life balance is related to employee performance with positive emotions as the mediation variable at PT Telkom Indonesia (Persero) Tbk-Witel Jambi. The sampling method used is probability sampling techniques with simple random sampling. The data was collected using an electronic questionnaire to 120 respondents and data analysis using smart pls 3.3. 3 software. The results showed that work-life balance has a positive but insignificant relationship with performance. In contrast, the work-life balance variable has a positive and significant relationship with positive emotions, and positive emotions are positively and significantly related to employee performance. In addition, positive emotions fully mediate the relationship between work-life balance and employee performance. It implies increasing employee performance, which can be conducted through increasing positive emotions. Keywords: employee performance, positive emotions, PT. Telkom Indonesia (Persero) Tbk, work-life balance
The Organization of Networking and Gender Inequality in the New Economy: Evidence from the Tech Industry

In the new economy, with shrinking organizational supports and increased precarity for professional workers, networking has intensified as an entrepreneurial career management strategy. Networking is embedded in the logic of new work organizations, but less attention has been paid to its impact on gender inequality. Through fifty interviews with workers from one tech company and nine months of observations, I ask: (1) In the new economy, with intense networking demands, how does gender structure the networking strategies of workers? And (2) How does the organization of networking contribute to gender inequality? I find that individuals draw on masculinity and femininity as they network in ways that reproduce gender status hierarchies. The structure and culture of networking disproportionately limit the careers of women compared to men by shaping their (1) networking approaches; (2) attitudes about networking; and (3) resources gained from networking. Men network by strategically socializing, confidently building informal relationships with other men through masculine activities and leveraging these relationships for key resources. Women cannot similarly access informal relationships, and so they engage in strategic networking, attending formal networking events that are less effective in providing career resources. Women embodying an elite, white femininity locate personal support in the company-sponsored women's network. However, this group reinforces organizational boundaries by gender and race. This article advances sociological literature on inequality in the new economy, drawing on gender theory to demonstrate how in elite, male-dominated industries like technology, networking contributes to the maintenance of gender inequalities.
„Ég reyni að taka tillit til aðstæðna þeirra, vera sveigjanleg“ Um gæði fjarnáms og fjarnámið í Menntaskólanum á Egilsstöðum

Á síðustu árum hefur um helmingur framhaldsskóla á Íslandi boðið upp á fjarnám í ýmsum myndum, þar á meðal Menntaskólinn á Egilsstöðum. Fjarnámið þar hefur vaxið jafnt og þétt og hafa nemendur lýst yfir ánægju sinni meðal annars með spannakerfið, skipulag og samskipti við kennara. Erfitt hefur reynst að meta gæði fjarnáms á heimsvísu en þó hafa verið þróaðir ýmsir staðlar og má finna algeng þemu varðandi hæfni og hugarfar sem æskilegt er að kennarar búi yfir til að ná árangri í kennslu á netinu. Markmið greinarinnar er að varpa ljósi á hvað stuðlar að auknum gæðum fjarnáms og farið er sérstaklega yfir samskipti, námsumhverfi og skipulag ásamt tæknilegum undirbúningi kennara. Einnig er fjallað um fjarnám Menntaskólans á Egilsstöðum og sagt frá könnun um fjarnám sem lögð var fyrir kennara skólans haustið 2021. Alls 19 kennarar skólans sem kenna eða hafa kennt áður í fjarnámi tóku þátt í könnuninni og helstu niðurstöður sýna styrkleika kennara varðandi skipulag og samskipti við nemendur en veikleika þegar kemur að samskiptum milli nemendanna sjálfra. Aðeins tæp 16% þátttakenda taldi sig hafa fengið fullnægjandi menntun um kennslu fjarnema í kennaranámi og hafa áhyggjur verið uppi um skort á nauðsynlegum undirbúningi kennara sem kenna í fjarnámi. Greinin varpar enn frekar ljósi á mikilvægi þess að kennarar öðlist þá hæfni og þekkingu sem kennsla í fjarnámi krefst.
Through the Lens of Situated Learning and Levels of Scale

The aim of this paper is to contribute to theoretical development within a field otherwise mostly characterized by empirical contributions, with a primary focus on the practice and perspectives of on-site facilitators. To theoretically understand the development and use of remote teaching, we focus on the interaction between systems of human activity in education and the relationships enacted in practice through their interaction, with a focus on on-site facilitators’ work. In doing so, we use the concept levels of scale in situated learning. Through levels of scale, we conceptualize the historical development of remote teaching as the large scale and the remote learning environment as the small scale. Integrating the levels of scale and tracing the historical development of remote teaching in Sweden into the enactments taking place in a classroom of modern language teaching is the concrete theoretical development that our aim entails.
Circulation of Dengue Virus Serotype 2 in Humans and Mosquitoes During an Outbreak in El Quseir City, Egypt

Introduction In recent decades, the rate of infection with dengue virus (DENV) has risen significantly, now affecting nearly 400 million individuals annually. Dengue fever among humans is caused via specific mosquito vectors bites. Sporadic cases have been reported in Egypt. The goal of this study was to identify the serotype of the DENV outbreak in both human and mosquito vector along the coast of the Red Sea, Upper Egypt, in 2017. Identification of the serotype of the virus may help identify its source and assist in applying epidemiological and control measures. Materials and Methods The current study was carried out in El Quseir City, Red Sea Governorate, Upper Egypt, on 144 patients complaining of symptoms indicative of dengue fever at the time of the 2017 Egypt outbreak. Human blood samples and the mosquito reservoirs were identified as having dengue virus infection serologically and molecularly. Results Overall, 97 (67.4%) patients were positive for dengue virus IgM antibodies. Molecular examination of the human samples and pools of mosquitoes revealed that DENV-2 virus was the serotype responsible for the outbreak. Only one pool of female mosquitoes containing Aedes aegypti was infected with dengue fever virus (DENV-2). Conclusion This was the first serotyping of the DENV responsible for dengue virus outbreak in Egypt in 2017. Determining the serotype of dengue virus can help to avoid and monitor outbreaks. The serotype identified in this study was DENV-2, while DENV-1 was the serotype found in the previous outbreak in 2015 in the province of Assiut. This study thus raises concerns that a new dengue serotype could have been introduced into Egypt. It is necessary for a comprehensive risk assessment to be carried out in the country, including an entomological survey, to assess the presence and potential geographical expansion of mosquito vectors there.
A THz Waveguide Bandpass Filter Design Using an Artificial Neural Network

This paper presents a 300 GHz waveguide bandpass filter based on asymmetric inductive irises. The coupling matrix synthesis technique is used to design a 6-pole Chebyshev filter. In addition, an artificial neural network is applied to provide the filter geometries using the desired frequency response. The optimized filter is fabricated by the computer numeric controlled milling process. The measurement results show that the insertion loss is less than 3 dB and the return loss is better than 17 dB in the range 276–310 GHz.
Quantized Fault-Tolerant Control for Descriptor Systems with Intermittent Actuator Faults, Randomly Occurring Sensor Non-Linearity, and Missing Data

This paper examines the fault-tolerant control problem for discrete-time descriptor systems that are susceptible to intermittent actuator failures, nonlinear sensor data, and probability-based missing data. The discrete-time non-homogeneous Markov chain was adopted to describe the stochastic behavior of actuator faults. Moreover, Bernoulli-distributed stochastic variables with known conditional probabilities were employed to describe the practical features of random sensor non-linearity and missing data. In this study, the output signals were quantized and a dynamic output feedback controller was synthesized such that the closed-loop system was stochastically admissible and satisfied the strictly (Q,S,R)-γ-dissipative performance index. The theoretical developments are illustrated through numerical simulations of an infinite machine bus.
Development of the Real‐Time 30‐s‐Update Big Data Assimilation System for Convective Rainfall Prediction With a Phased Array Weather Radar: Description and Preliminary Evaluation

We present the first ever real‐time numerical weather prediction system with 30‐s update cycles at a 500‐m grid spacing for the prediction of convective precipitation in the subsequent 30 min using a new‐generation multi‐parameter phased array weather radar. The system comprises a regional atmospheric model known as the SCALE and the local ensemble transform Kalman filter (LETKF). To accelerate the SCALE‐LETKF system, data transfer between the two aforementioned components is performed using a memory copy instead of a file I/O. A complete real‐time workflow including domain nesting and observational data transfer is constructed. A real‐time test in July and August 2020 showed that the system is fast enough for a real‐time application of 30‐s forecast‐analysis cycles and 30‐min prediction. The development includes a new thinning method considering the spatially correlated observation errors in the dense radar data. This new thinning method is effective in two past case studies in the summer of 2019.
Interconnected CPW Fed Flexible 4-Port MIMO Antenna for UWB, X, and Ku band Applications

A coplanar waveguide (CPW) fed flexible interconnected 4-port MIMO antenna is proposed for UWB, X, and Ku band applications having a size 0. 67λ × 0. 81λ × 0. 0028λ (at 3.58 GHz). The antenna parameters are characterized by using sets of real measurements to validate the antenna design and modelling. A precise milling machine is used for fabricating the single and 4-port antennas over a flexible FR-4 Substrate. Vector network analyser (VNA) is used for measuring scattering and transmission coefficients. As well as, a shielded anechoic chamber is utilised for measuring the far field radiations and the gain of the antenna under test (AUT). The basic antenna that is a part of the 4-port structure consists of a CPW fed octagonal structure surrounded by an octagonal-shaped slot. The MIMO ability is achieved by arranging the 4 identical elements symmetrically in a successive rotational means for achieving good polarization diversity. The connected ground between the elements is achieved by introducing a plus-shaped slotted structure separated by a slotted diamond at the center in the 4-port structure. None of the slots touches each other thus ensuring the common reference while maintaining the inter-element isolation better than 15 dB. The antenna demonstrated maximum gain and minimum efficiency of 6.8 dBi and 89%, respectively besides attaining a 10-dB impedance bandwidth of 125.83% (3.89-17.09 GHz) and envelope correlation coefficient (ECC) < 0.02. Finally, the 4-port flexible antenna is tested in terms of S parameters and ECC under bending conditions along the X and Y axis followed by a time-domain analysis that exhibited very good performance.
Utility and Acceptability of a Brief Type 2 Diabetes Visual Animation: Mixed Methods Feasibility Study

Background Visualizations of illness and treatment processes are promising interventions for changing unhelpful perceptions and improving health outcomes. However, these are yet to be tested in patients with type 2 diabetes mellitus (T2DM). Objective This study assesses the cross-cultural acceptability and potential effectiveness of a brief visual animation of T2DM at changing unhelpful illness and treatment perceptions and self-efficacy among patients and family members in 2 countries, New Zealand and Saudi Arabia. Health care professionals’ views on visualization are also explored. Methods A total of 52 participants (n=39, 75% patients and family members and n=13, 25% health care professionals) were shown a 7-minute T2DM visual animation. Patients and family members completed a questionnaire on illness and treatment perceptions and self-efficacy before and immediately after the intervention and completed semistructured interviews. Health care professionals completed written open-ended questions. Means and 95% CIs are reported to estimate potential effectiveness. Inductive thematic analysis was conducted on qualitative data. Results All participants rated the visual animation as acceptable and engaging. Four main themes were identified: animation-related factors, impact of the animation, animation as an effective format for delivering information, and management-related factors. Effect sizes (ranged from 0.10 to 0.56) suggested potential effectiveness for changing illness and treatment perceptions and self-efficacy among patients and family members. Conclusions Visualizations are acceptable and may improve the perceptions of patients’ with diabetes in a short time frame. This brief visual animation has the potential to improve current T2DM education. A subsequent randomized controlled trial to investigate the effects on illness and treatment perceptions, adherence, glycemic control, and unplanned hospital admission is being prepared.
Muscle Biopsy-proven Drug-induced Microscopic Polyangiitis in a Patient with Tuberculosis

We herein report a case of muscle biopsy-proven microscopic polyangiitis (MPA) in a patient with tuberculosis. The patient had developed a persistent fever after the initiation of treatment for tuberculosis and was positive for myeloperoxidase-antineutrophil cytoplasmic antibody (ANCA). However, because conventional symptoms were lacking, determination of the biopsy site was difficult. Based on the findings of a biopsy of the biceps femoris, which confirmed small vessel vasculitis, the patient was diagnosed with MPA. The fever was alleviated by glucocorticoids. Tuberculosis and antituberculosis drugs can cause ANCA-associated vasculitis (AAV). A muscle biopsy is useful for the diagnosis of AAV.
A UWB System Model for Patient Tracking and Monitoring for Smart Healthcare

There has been breathtaking developments in the sector of Healthcare. Formation of smart hospitals have emerged with the fine collaborations of IoT with medical sensors and devices. These devices take up the responsibility of monitoring the welfare of patients physically in a hospital. They are capable of tracking and monitoring the movement of patients, their physical activities and record various health parameters. A hospital premises witnesses a swarm of people on a daily basis and hence the tracking of a patients in and out is highly mandatory. Traditional tracking and monitoring using pen and paper or basic softwares are inaccurate most of the time. They are both monotonous and tedious and are highly sceptical. Hence the authors have put forth the architecture and component design of a wearable device based on Ultra Wide band Technology (UWB) for tracking and monitoring patients inside a hospital. The wearable device is a wrist band with UWB embedded tag which would trace the location of the patient precisely. The location could be accessed by the officials of the hospital in no time using a data analysis software. The UWB device follows the Time difference of Arrival (TDoA) method with triangulation technique for precise localization. The hardware and software architecture along with the complete component design is been explained further in the paper. The system is implemented initially in an area inside the hospital premises with dimensions of12.5 X 16. 5m (width X length) and will be later carried forward in the entire hospital premises.
The Recognition Method of Athlete Exercise Intensity Based on ECG and PCG

Athletes usually arrange their training plans and determine their training intensity according to the coach's experience and simple physical indicators such as heart rate during exercise. However, the accuracy of this method is poor, and the training plan and exercise intensity arranged according to this method can easily cause physical damage, or the training cannot meet the actual needs. Therefore, in order to realize the reasonable arrangement and monitoring of athletes' training, a method of human exercise intensity recognition based on ECG (electrocardiogram) and PCG (Phonocardiogram) is proposed. First, the ECG and PCG signals are fused into a two-dimensional image, and the dataset is marked and divided according to the different motion intensities. Then, the training set is trained with a CNN (convolutional neural network) to obtain the prediction model of the neural network. Finally, the neural network model is used to identify the ECG and PCG signals to judge the exercise intensity of the athlete, so as to adjust the training plan according to the exercise intensity. The recognition accuracy of the model on the dataset can reach 95.68%. Compared with the use of heart rate to detect the physical state during exercise, ECG records the total potential changes in the process of depolarization and repolarization of the heart, and PCG records the waveform of the beating sound of the heart, which contains richer feature information. Combined with the CNN method, the athlete's exercise intensity prediction model constructed by extracting the features of the athlete's ECG and PCG signals realizes the real-time monitoring of the athlete's exercise intensity and has high accuracy and generalization ability.
Outcomes of the first global multidisciplinary consensus meeting including persons living with obesity to standardize patient‐reported outcome measurement in obesity treatment research

Quality of life is a key outcome that is not rigorously measured in obesity treatment research due to the lack of standardization of patient‐reported outcomes (PROs) and PRO measures (PROMs). The S.Q. O.T. initiative was founded to Standardize Quality of life measurement in Obesity Treatment. A first face‐to‐face, international, multidisciplinary consensus meeting was conducted to identify the key PROs and preferred PROMs for obesity treatment research. It comprised of 35 people living with obesity (PLWO) and healthcare providers (HCPs). Formal presentations, nominal group techniques, and modified Delphi exercises were used to develop consensus‐based recommendations. The following eight PROs were considered important: self‐esteem, physical health/functioning, mental/psychological health, social health, eating, stigma, body image, and excess skin. Self‐esteem was considered the most important PRO, particularly for PLWO, while physical health was perceived to be the most important among HCPs. For each PRO, one or more PROMs were selected, except for stigma. This consensus meeting was a first step toward standardizing PROs (what to measure) and PROMs (how to measure) in obesity treatment research. It provides an overview of the key PROs and a first selection of the PROMs that can be used to evaluate these PROs.
Natural Language Interfaces to Data

Recent advances in natural language understanding and processing have resulted in renewed interest in natural language interfaces to data, which provide an easy mechanism for non-technical users to access and query the data. While early systems evolved from keyword search and focused on simple factual queries, the complexity of both the input sentences as well as the generated SQL queries has evolved over time. More recently, there has also been a lot of focus on using conversational interfaces for data analytics, empowering a line of business owners and non-technical users with quick insights into the data. There are three main challenges in natural language querying: (1) identifying the entities involved in the user utterance, (2) connecting the different entities in a meaningful way over the underlying data source to interpret user intents, and finally (3) generating a structured query in the form of SQL or SPARQL. There are two main approaches in the literature for interpreting a user’s natural language query. Rule-based systems make use of semantic indices, ontologies, and knowledge Abdul Quamar, Vasilis Efthymiou, Chuan Lei and Fatma Özcan (2022), “Natural Language Interfaces to Data”, Foundations and Trends in Databases: Vol. 11, No. 4, pp 319–414. DOI: 10.1561/1900000078. ©2022 A. Quamar et al. The version of record is available at: http://dx.doi. org/10.1561/1900000078