Miracle-dz/UniFAR-FTUs huggingface dataset:
Real100G.RF: A Fully Packaged 240 GHz Transmitter with In-Antenna Power Combining in 0.13 μm SiGe Technology

Abstract This paper reports on the research activities during the first phase of the project Real100G.RF, which is part of the German Research Foundation (DFG) priority programm SPP1655. The project’s main objective is to research silicon-based wireless communication above 200 GHz to enable data rates in excess of 100 gigabit per second (Gbps). To that end, this paper presents a fully packaged 240 GHz RF transmitter front-end with power combining antenna in 0.13 μ$\mu$ m SiGe technology. The design of circuit building blocks, passives, antenna and high-speed packaging is discussed. Communication measurements show data rates of 8 Gbps with an EVM of 12.4% using 16-QAM, 24 Gbps with 26.5% EVM using QPSK and 30 Gbps with 27.9% EVM using 8-PSK.
Patient-Caregiver Dyad: A Systematic Review Informing a Concept Analysis

The patient-caregiver dyad is becoming more prevalent in literature, but a clear definition of this concept is lacking. This study aimed to clarify the concept within disease-related conditions, either acute with a planned recovery trajectory or chronic with terminal characteristics. Using a systematic review and Rodgers and Knafl’s concept analysis process, 28 articles referring to patient-caregiver dyads informed our results. Attributes included the type of caregiver, selecting a caregiver, reaching an agreement, burden of caregiving, and emotions toward the diagnosis. Antecedents were the presence of an acute illness with planned recovery or chronic illness with terminal characteristics and the availability of caregivers. Consequences included patient-caregiver dyads are key to disease management and a directional benefit from the caregiver to the patient. Results of this analysis will assist clinicians and researchers when investigating the synergistic relationship of the patient-caregiver dyad for future theory development and interventional design studies.
A Transparency Checklist for Carbon Footprint Calculations Applied within a Systematic Review of Virtual Care Interventions

Increasing concerns about climate change imply that decisions on the digitization of healthcare should consider evidence about its carbon footprint (CF). This study aims to develop a transparency catalogue for reporting CF calculations, to compare results, and to assess the transparency (reporting quality) of the current evidence of virtual care (VC) intervention. We developed a checklist of transparency criteria based on the consolidation of three established standards/norms for CF calculation. We conducted a systematic review of primary studies written in English or German on the CF of VC interventions to check applicability. Based on our checklist, we extracted methodological information. We compared the results and calculated a transparency score. The checklist comprises 22 items in the aim, scope, data and analysis categories. Twenty-three studies out of 1466 records were included, mostly addressing telemedicine. The mean transparency score was 38% (minimum 14%, maximum 68%). On average, 148 kg carbon dioxide equivalents per patient were saved. Digitization may have co-benefits, improving care and reducing the healthcare CF. However, the evidence for this is weak, and CF reports are heterogeneous. Our transparency checklist may serve as a reference for developing a standard to assess the CF of virtual and other healthcare and public health services.
Asymmetrical relationship between COVID-19 global fear index and agricultural commodity prices

sectors such as energy, services and industry. In addition, they play an active role in the international agricultural markets. Therefore, price structure in the grain and oilseed market is important for agriculture and many other sectors. This study was designed to reveal how the fear of COVID-19 has globally affected grain prices. The study covered the one-year period from March 11, 2020, when COVID-19 was first recognized as a pandemic, to March 11, 2021. The Global Fear Index (GFI) and the price sub-indices created by the Grain Oil Council were used to determine the impact of the fear caused by COVID-19 on grain prices. Assuming an asymmetrical relationship between variables, the Nonlinear Autoregressive Distributed Lag model was used to determine this relationship. According to the model results, it was found that in the long term, agricultural commodity prices gave an increase (decrease) response to the positive (negative) effects in the GFI, and that the effect of an increase in the GFI on agricultural commodity prices was greater than the effect of a decrease. Accordingly, it is thought that the analysis and predictions which take into account the asymmetrical effect would give more realistic results and thus contribute considerably to the market regulations. It will also help policymakers make more rational decisions in their search for solutions to the problems in the cereal market.
Predicting Material Properties by Deep Graph Networks

Nodes and edges constitute crystal structures, so crystal structures are easy to express as graphs. Using graph networks to predict material properties has been a prevailing view in the past years. Neural networks are used to fit the density functional theory (DFT) calculation results to predict the properties of various materials. Based on this train of thought, the authors develop graph neural network models for predicting material properties with crystal structure data, and the model gets competitive results with Material Project datasets. It is demonstrated that the authors’ model outperforms other ML methods. Like MEGNet, this model makes input data three parts: nodes, edges, and global. Using Graph Attention Network (GAT) can aggregate node data with edge information and get attention to important areas in graphs. Integrating three features retains structural information and is more suitable for mapping the original distribution of crystal structures.
Types of Errors in Block Programming: Driven by Learner, Learning Environment

Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors—which form one of two broad categories of errors in programming, the other one being logic errors—are omitted while block programming. However, this does not mean that errors are omitted at large in such environments. In this exploratory case study of a learning environment for early programming (Kodetu), we explored errors in block programming of middle school students (N = 123), using log files drawn from a block-based online. Analyzing 1033 failed executions, we found that errors may be driven by either learners’ knowledge and behavior, or by the learning environment design. The rate of error types was not associated with the learners’ and contextual variables examined, with the exception of task complexity (as defined by SOLO taxonomy). Our findings highlight the importance of learning from errors and of learning environment design.
The fall of Strategic Information Systems Planning and the rise of a dynamic IS Strategy

For nearly 30 years, since its introduction onto corporate management scene in the early 1970s, strategic planning has been on a roller coaster ride. Nearly a decade later strategic information systems planning was put on the same track but that does not mean we have to stay on the same track or that we have to take it at the same speed. If we know what is ahead we can speed up and if we know which obstacles are further on the road we can take a different road to take us where we want to go. We can both learn from history because we have taken the road before and we can learn from the future from the corporate strategy road map but we cannot look into the future. Therefore we cannot suffice to build a static, programmed analytic information plan but have to reckon with changes of the planning environment and internal changes of the organization. There is a need for a dynamic theory of information systems strategy.
Assessment of Respiratory Function and Need for Noninvasive Ventilation in a Cohort of Patients with Myotonic Dystrophy Type 1 Followed at One Single Expert Center

Introduction Respiratory insufficiency is one of the main causes of death in myotonic dystrophy type 1 (DM1). Although there is general consensus that these patients have a restrictive ventilatory pattern, hypoventilation, chronic hypercapnia, and sleep disturbances, the prevalence of respiratory disease and indication for the effects of noninvasive ventilation (NIV) need to be further explored. Objectives To describe respiratory function and need for NIV at baseline and over time in a cohort of adult patients with DM1. Methods A total of 151 adult patients with DM1 were subjected to arterial blood gas analysis, sitting and supine forced vital capacity (FVC), peak cough expiratory flow (PCEF), nocturnal oximetry, and maximal inspiratory pressure and expiratory pressure (MIP/PEP). Results On first assessment, 84 of 151 had normal respiratory function (median age: 38 years, median BMI: 23.9, and median disease duration: 11 years); 67 received an indication to use NIV (median age: 49 years, median BMI: 25,8, and median disease duration: 14 years). After a median time of 3.85 years, 43 patients were lost to follow-up; 9 of 84 required NIV; only 17 of 67 with the new NIV prescription were adherent. Conclusions We provide additional data on the natural history of respiratory function decline and treatment adherence in a relatively large cohort of well-characterized patients with DM1. A high proportion (28%) was lost to follow-up. A minority (11%) required NIV, and only 25% were treatment adherent, irrespective of specific demographics and respiratory features. Our results also confirm previous findings, showing that age, disease duration, and higher BMIs are predisposing factors for respiratory impairment.
A multi-center retrospective comparative study of third generation Ceramic-on- Ceramic total hip arthroplasty in patients younger than 45 years with or without the sandwich liner: A ten-year minimum

Background Ceramic-on-ceramic couplings are attractive alternative bearing surfaces that have been reported to eliminate or reduce problems related to polyethylene wear debris. However, the material in THA still remains one of the major concerns about the risk of fracture, due to its brittleness. Objective The present study aims at reporting the fracture rate of a series of ceramic-on-ceramic THAs with use of the sandwich liner combined with a ceramic femoral head, and attempt to detect the relative risk factors, possible cause and assesse the medium-term clinical results. Methods We retrospectively evaluated 282 patients (300 hips) with use of the sandwich liner ceramic-on-ceramic THA between 2001 and 2009 at three-centers. Patient assessment was based on demographic factors, including age, weight, gender and body-mass index. All patients were evaluated clinically and radio-graphically or computed tomography in consideration of dislocation, osteolysis, periprosthetic fracture, infection, loosening and implant fracture. Results five ceramic sandwich liners fracture (1.7%) were observed at an average of 7.3 years follow-up. These factors were irrelevant to the ceramic liner fracture, including age (p = 0.205), weight (p = 0.241), gender (p = 0.553), body-mass index (p = 0.736), inclination (p = 0.727), and anteversion (p = 0.606). The overall survival was 91.4% at 12 years with revision as the endpoint. Other complications included dislocation in two, perprosthetic fracture in two and osteolysis in eight hips. No hip had aseptic loosening of the implants was seen. Conclusions We found that the sandwich liner may be lead to a high rate of alumina fracture and osteolysis. We have discontinued the use of sandwich liner with THA since 2009.
Investigation of the Disparities in Ultrasound Imaging Features of miR-323, miR-409-3p, and VEGF Expression Scales in Different Clinicopathological Features of Prostate Carcinoma and Their Correlation with Prognosis

Prostate carcinoma (PC) is a disease of the male genitourinary system and a relatively common malignant tumor. In order to investigate the disparities in the expression of microRNA-323 (miR-323), microRNA-409-3p (miR-409-3p), and vascular endothelial growth factor (VEGF) in prostate carcinoma with different clinicopathological features and analyze their correlation with prognosis. Thirty-two sufferers with prostate carcinoma and forty-three sufferers with benign prostatic hyperplasia are included. The results show that the detection of miR-323, miR-409-3p, and VEGF scales can provide reference value for clinical guidance of prostate carcinoma prognosis.
The Impact of Charlson Comorbidity Index on the Functional Capacity of COVID-19 Survivors: A Prospective Cohort Study with One-Year Follow-Up

Objective: To determine the association between the Charlson comorbidity index (CCI) score after discharge with 6-min walk test (6MWT) 1 year after discharge in a cohort of COVID-19 survivors. Methods: In this prospective study, data were collected from a consecutive sample of patients hospitalized for COVID-19. The CCI score was calculated from the comorbidity data. The main outcome was the distance walked in the 6MWT at 1 year after discharge. Associations between CCI and meters covered in the 6MWT were assessed through crude and adjusted linear regressions. The model was adjusted for possible confounding factors (sex, days of hospitalization, and basal physical capacity through sit-to-stand test one month after discharge). Results: A total of 41 patients were included (mean age 58.8 ± 12.7 years, 20/21 men/women). A significant association was observed between CCI and 6MWT (meters): (i) crude model: β = −18.7, 95% CI = −34.7 to −2.6, p < 0.05; (ii) model adjusted for propensity score including sex, days of hospitalization, and sit-to-stand: β = −23.0, 95% CI = −39.1 to −6.8, p < 0.05. Conclusions: A higher CCI score after discharge indicates worse performance on the 6MWT at 1-year follow-up in COVID-19 survivors. The CCI score could also be used as a screening tool to make important clinical decisions.
Mitochondrial COI Haplotype Diversity of Rhynchobatus australiae Collected from Ketapang Fish Port, Bangka Belitung Islands

Rhynchobatus australiae is a member of the Rhinidae family and can be found in the Indo Pacific. This species is categorized as Critically Endangered according to The International Union for Conservation of Nature and Natural Resources (IUCN) Red List and listed as Appendix II Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), due to population declines. Sustainable fisheries management is urgently needed. Information related to genetic diversity is one of the most important aspects of information for appropriate sustainable fisheries management. Therefore, this research aims to investigate the genetic diversity of Rhynchobatus australiae collected from Ketapang Fish Port Bangka Belitung Islands. Total 21 samples were collected at Ketapang Fish Port. DNA extraction was carried out using the 10% chelex method and amplification was done through PCR method on the mitochondrial DNA using Fish BCL and Fish BCH primer. Sequences in size of 653 base pairs were successfully obtained from all fish samples showing the existence of 2 clades from the construction of the phylogeny tree with close genetic distance. Results showed high haplotype diversity (Hd: 0.733 ± 0.082) and low nucleotide diversity (π: 0.00176± 0.00036) with 6 polymorphic sites (S) from 7 unique haplotypes (h). This research provides basic information of genetic diversity of Rhynchobatus australiae collected from Ketapang Fish Port and complements other information to better understand the status of the threatened Rhynchobatus australiae population.
Interphase and Ground Faults Detection for High Speed Transmission Line Protection Using Artificial Neural Networks and The One-Terminal Current Data

Tahar Bouthiba, F. Yousfi, Mouloud Denai, ‘Interphase and Ground Faults Detection for High Speed Transmission Line Protection Using Artificial Neural Networks and The One-Terminal Current Data’, paper presented at the IEEE/PELS International Conference on Electrical and Electronics Engineering, Bursa, Turkey, 7-11 November, 2002.
’ S N ATIONAL R ESEARCH P ROJECT ON W IRELESS S ENSOR N ETWORKS

China is experiencing rapid economic growth, but is also facing serious social and environmental problems, such as safety threats in the mining industry, environmental pollution, and transportation congestion. The advance of wireless sensor networks (WSNs) has made it possible to deploy low-cost networked sensors to address many huge challenges. A national research project, supported by the prestigious National 973 Program of China, was launched in September 2006. The project adopts an application-driven methodology and aims to address the real-world critical problems facing Chinese society. This project will follow a systematic approach, integrating technologies as a system solution to critical problems. Although this is a basic research project, the project has an ambitious goal of solving practical problems with the potential of commercialization. The success of this project will bring significant benefits to China’s sustainable economic and social development. CHINA’S NATIONAL RESEARCH PROJECT ON WIRELESS SENSOR NETWORKS China is experiencing
Managing workforce diversity

Conceptual Framework People are different from each other in many ways these include age, gender, education, values, physical ability, mental capacity, personality, experiences, cultural endowment and the way each person approaches work. Organisations which really want to gain advantage from this increasing diversity need to acknowledge, understand and appreciate these differences. They also need to consider developing a workplace that enhances their employees' value. This is possible if organisations develop appropriate corporate strategies and are flexible enough to meet the varying needs and preferences of the workforce. In return, this is likely to create a motivating and rewarding environment. If the needs of the changing workforce are met, not only are more harmonious working relationships achieved but the organisation will also be amply rewarded. Such organisations will be at a competitive advantage in recruiting and retaining the highest quality employees. They will generally be more attractive to today's workforce and prove to be more practical for the mix of workers that exists Gamieson & O'Mara, 1991:3-4). Even in Malta, a number of forces are emerging which will affect the way managers think about the management of organisations and people. The Maltese workforce is experiencing changes in its skill base, education level, its gender and age structures besides national drives for increased opportunities for persons with special needs at the workplace. Malta is also witnessing transitions in the
Performance, cost and environmental assessment of gasification-based electricity in India: A preliminary analysis

Coal gasification processes are crucial to decarbonisation in the power sector. While underground coal gasification (UCG) and integrated gasification combined cycle (IGCC) are different in terms of the site of gasification, they have considerable similarities in terms of the types of gasifiers used. Of course, UCG offers some additional advantages such as reduction of the fugitive methane emissions accompanying the coal mining process. Nevertheless, simulation of IGCC plants involving surface coal gasification is likely to give reasonable indication of the 3E (efficiency, economics and emissions) prospects of the gasification pathway towards electricity. This paper will aim at Estimating 3E impacts (efficiency, environment, economics) of gasification processes using simulation carried out in the Integrated Environmental Control Model (IECM) software framework. Key plant level controls which will be studied in this paper will be based on Indian financial regulations and operating costs which are specific to the country. Also, impacts of CO2 capture and storage (CCS) in these plants will be studied. The various parameters that can be studied are plant load factor, impact of coal quality and price, type of CO2 capture process, capital costs etc. It is hoped that relevant insights into electricity generation from gasification may be obtained with this paper.
Long-distance WPT unconventional arrays synthesis

Abstract Two innovative array concepts are introduced for the design of long-distance Wireless Power Transfer (WPT) radiating systems. The achievable tradeoffs between complexity/cost mitigation and power focusing capabilities of unconventional WPT architectures with respect to state-of-the-art optimal WPT solutions are investigated. To this end, clustered or sparse WPT arrangements are introduced by formulating their syntheses either as excitation or as pattern matching problems then solved by ad-hoc versions of the Contiguous Partition Method and Compressive Sensing algorithms. Selected numerical examples are presented to assess the features and the potentialities of unconventional WPT designs also in comparison with traditional state-of-the-art optimal methods.
A map-based normalized cross correlation algorithm using dynamic template for vision-guided telerobot

Vision-guided telerobot is often used to execute tasks, such as grasping and classification, in various environments, which contains some unfamiliar objects beyond its matching library. Hence, it is necessary to create new template dynamically for the unfamiliar objects. However, this procedure is inconvenient for the traditional template matching algorithm. In this article, a novel map–based normalized cross correlation algorithm is proposed. Map–based normalized cross correlation is summarized into two phases. In the learning phase, map–based normalized cross correlation creates new template and map by the superpixel-based GrabCut method dynamically, which is different from previous template matching algorithms. In the matching phase, a map-based similarity evaluation is designed to determine the position and rotation angle of object, where the map is used to eliminate the interference of background. Various experiments demonstrate that superpixel-based GrabCut method is more robust against noise than the traditional GrabCut algorithm and can separate the object from texture-rich background with less iteration times and time consumption. Additionally, map–based normalized cross correlation algorithm can locate objects in texture-rich images more accurately compared with polar transformation and image pyramids normalized cross correlation algorithm, especially for the matching of irregularly shaped object.
Social Commerce Acceptance: Integrated Model with Collaboration Theories and Technology Acceptance Model

Social commerce has made a paradigm shift where consumers purchase commodities using social commerce websites. Social media plays a vital role in reaching customers and potential buyers. It has changed the traditional way of marketing into social marketing. Wide acceptance of social media by businesses and consumers apparently have provided enormous research opportunities. Hence, the purpose of the current study was to formulate and validate a comprehensive model to examine consumer intentions of social commerce websites. In this study, Technology Acceptance Model (TAM) was extended with collaboration technology constructs. The model was empirically tested for its statistical validity. Data were collected by administering a survey questionnaire. Structural equation modeling (SEM) approach was used for data analysis. The findings of this study would help to narrow the knowledge gap in this context and will provide valuable information for organizations to develop competitive long-term marketing strategies.