Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining knowledge graphs to map heterogeneous relations between the internet of things patterns

Patterns for the internet of things (IoT) which represent proven solutions used to solve design problems in the IoT are numerous. Similar to object-oriented design patterns, these IoT patterns contain multiple mutual heterogeneous relationships. However, these pattern relationships are hidden and virtually unidentified in most documents. In this paper, we use machine learning techniques to automatically mine knowledge graphs to map these relationships between several IoT patterns. The end result is a semantic knowledge graph database which outlines patterns as vertices and their relations as edges. We have identified four main relationships between the IoT patterns - a pattern is similar to another pattern if it addresses the same use case problem, a large-scale pattern uses a small- scale pattern in a lower level layer, a large pattern is composed of multiple smaller scale patterns underneath it, and patterns complement and combine with each other to resolve a given use case problem. Our results show some promising prospects towards the use of machine learning techniques to generate an automated repository to organise the IoT patterns, which are usually extracted at various levels of abstraction and granularity.
The dynamics of introgression across an avian radiation

Hybridization and resulting introgression can play both a destructive and a creative role in the evolution of diversity. Thus, characterizing when and where introgression is most likely to occur can help us understand the causes of diversification dynamics. Here, we examine the prevalence of and variation in introgression using phylogenomic data from a large (1300+ species), geographically widespread avian group, the suboscine birds. We first examine patterns of gene tree discordance across the geographic distribution of the entire clade. We then evaluate the signal of introgression in a subset of 206 species triads using Patterson's D‐statistic and test for associations between introgression signal and evolutionary, geographic, and environmental variables. We find that gene tree discordance varies across lineages and geographic regions. The signal of introgression is highest in cases where species occur in close geographic proximity and in regions with more dynamic climates since the Pleistocene. Our results highlight the potential of phylogenomic datasets for examining broad patterns of hybridization and suggest that the degree of introgression between diverging lineages might be predictable based on the setting in which they occur.
A unified semantic analysis of Chinese adverbial ziji

This study of Chinese adverbial ziji investigates why cross-linguistically adverbial intensifiers often develop two different uses, namely the exclusive use and the inclusive use. Arguing against the polysemous account proposed in previous works like Siemund (2000), and assuming the mechanism suggested in Liao (2018) for exclusive ziji, the paper presents a new analysis revised from Gast’s (2006) account for intensifiers. In the analysis, there is only one ziji for all its adverbial uses. By adjoining to different X’ positions in the structure, adverbial ziji may get different surface meanings. Despite the surface differences, adverbial ziji always has the following semantics: it works as an identity function, evokes alternatives for consideration, and receives an exclusive meaning after the application of the covert exhaustivity operator O. Based on the evidence presented, the analysis crucially assumes that adverbial ziji may adjoin to Topic’, and this adjunction leads to the effect that the subsequent exhaustification is done over a set of alternative propositions that vary in topics. In such a case, alternative individuals evoked by ziji do not have to be excluded from having the property described by the VP in question. This makes the assertion of a ziji-sentence in inclusive context possible, and accounts for why intensifier ziji has a disguised inclusive function. By proposing such a unified account of ziji, the paper explains why cross-linguistically intensifiers often develop the various uses observed.
Ефективність кверцетину у хворих на пневмонію, асоційовану з коронавірусною хворобою (COVID-19)

The aim of this work was to evaluate the effectiveness of quercetin addition to the treatment regimen for patients with COVID-19 associated pneumonia. Materials and methods. The effectiveness of two dosage forms of quercetin was studied in 200 patients, who were divided equally into the main and control groups. The main group patients received quercetin in addition to the basic therapy: intravenous drip of Quercetin/Polyvinylirolidone during the first 10 days followed by oral administration of Quercetin/Pectin over the next 10 days. Patients from the control group received only the basic therapy drugs. The study evaluated the dynamics of the disease symptoms (saturation level, respiratory rate, body temperature, cough, general weakness), as well as laboratory markers (C-reactive protein (CRP), ferritin, D-dimer). Results. Two dosage forms of quercetin consistently used in addition to the basic therapy improve pulmonary gas exchange and accelerate the lung function recovery. This is evidenced by a statistically significant majority of patients with positive dynamics in the symptoms of “Saturation level” and “Cough” as well as the meeting a complex indicator of the therapy effectiveness 2 days earlier than in the control group. The treatment regimen applied also helps to stabilize the level of D-dimer in the blood of the main group patients. Conclusions. The use of two dosage forms of quercetin in addition to the basic therapy accelerates the recovery of patients with coronavirus disease associated pneumonia and can help to prevent the progression of COVID-19 associated coagulopathy.
Degraded CMOS hot carrier life time-role of plasma etching induced charging damage and edge damage

There are two different types of damage resulting from plasma etching (oxide charging damage and plasma edge damage) which can degrade the reliability of CMOS devices. The oxide charging damage is due to plasma induced Fowler-Nordheim current flowing through gate oxide, while edge damage is due to direct plasma exposure during the poly-Si overetch period. This paper addresses the influence of plasma etching-induced damage on device susceptibility to hot-carrier (HC) degradation. The role of oxide charging damage and that of edge damage are isolated and characterized for both n-channel and p-channel MOS devices, and the corresponding dependence of HC lifetime is analyzed. Finally, the effect of plasma damage on HC degradation of ring oscillators is studied.
Morphological analysis of infrared images for waterjets

High-speed waterjet has been widely used in industries and been investigated as a model of free shearing turbulence. This paper presents an investigation involving the flow visualization of high speed water jet, the noise reduction of the raw thermogram using a high-pass morphological filter  and a median filter; the image enhancement using white top-hat filter; and the image segmentation using the multiple thresholding method. The image processing results by the designed morphological filters,  - top-hat, were proved being ideal for further quantitative and in-depth analysis and can be used as a new morphological filter bank that may be of general implications for the analogous work
Educational Innovations for Coping Up with Covid-19 Situation in South African Universities

Purpose: In this paper, researcher describe how the educational innovations and creativity affects the efficiency and performance of the Universities in South Africa in their bid to cope with challenges posed by the COVID-19 pandemic since the beginning of the 2020 academic year. Method: The researcher used the cross-sectional research design. The data was collected through a survey with the help of a well-developed questionnaire. Respondents were the employees of university of Johannesburg South Africa selected through a simple random sampling technique. A framework of hypotheses was prepared to establish the relationships between the variables Creativity, Efficiency, Performance and Innovation. SEM-PLS was used for the analysis of data. Findings: We conclude by examining how these educational innovations creativity have been able the assist the Universities in mitigating the adverse effects of what could have resulted in the loss of a significant part of the 2020 academic year. Educational creativity and innovation significantly improve the Universities' performance by enhancing the efficiency of the employees. Implications for Research and Practice: It is recommended that the foundation laid through these innovations should be built upon in the future to provide a platform for new normal' in teaching and learning in South African Universities particularly as the Higher Educational Institutions are being enabled to accommodate the disruptions in teaching and learning process due to any troublesome situation. (C) 2021 Ani Publishing Ltd. All rights reserved.
Metabolic engineering of algae for fourth generation biofuels production

The ecological footprint and economic performance of the current suite of biofuel production methods make them insufficient to displace fossil fuels and reduce their impact on the inventory of Green House Gas (GHG) in the global atmosphere. Algae metabolic engineering forms the basis for 4th generation biofuel production which can meet this need. The first generation biofuels are known to be made from agricultural products such as corn or sugarcane. The second generation biofuels use all forms of (lingo)cellulosic biomass. The third and fourth generation of biofuel production involves “algae-to-biofuels” technology: the former is basically processing of algae biomass for biofuel production, while the latter is about metabolic engineering of algae for producing biofuels from oxygenic photosynthetic microorganisms. Our review focuses on the research achievement of metabolic engineering of algae for biofuel production. It is concluded that 4th generation biofuel production has introduced the “cell factory” concept in this field, and shifted the research paradigm. There still exists several technical bottlenecks in algae biofuel research and development, which can only be solved by the use of post-genome tools on these photosynthetic organisms.
Intelligent integration of information on the Internet for travellers on demand

The paper focuses on the real-time integration of travel information from data that can be accessed on the Internet. In most cases, the necessary information does not exist in a form users really want. Information from various sources on the Internet needs to be integrated intelligently to produce the information in a form users demand. In the proposed system, Internet robots access homepages on the Internet, and the information is analyzed and integrated by an intelligent agent. To integrate the useful information, the profile of each user is needed, as is the situational information, such as where the user is located and what situation the user is in. The system provides a menu that can help the traveller to deal with difficulties and allows the user to click on one of the pre-defined menu options. The system infers the information the user needs from the user profile and situational information, and intelligently integrates information that the user might need. In the case of a traffic accident, for example, the system gives information such as the phone numbers of the nearest hospital, local insurance company, police and so on. The agent also can make automated phone calls on behalf of the traveller.
Load transfer capability analysis considering interconnection of distributed generation and energy storage system

SUMMARY This paper presents an N-1 restoration model and optimization algorithm for the solution of maximizing load transfer capability with the interconnection of DG and DESS in distribution networks. Through a deep analysis of the time-varying characteristics of DG and DESS, the load restoration model is established and LTC indicator is proposed. With the application of searching area expansion and network topology simplification in consideration of topology connectivity constraint, LTC indicator can be conveniently obtained. Case study results show that the proposed LTC indicator effectively assesses the power supply capability in distribution networks under different circumstances of DG and DESS interconnection. Copyright © 2012 John Wiley & Sons, Ltd.
CORRELATION OF GLYCOSYLATED HEMOGLOBIN LEVELS WITH AUDITORY AND VISUAL REACTION TIME IN DIABETICS

Relevance. Diabetes mellitus is a group of metabolic disorders wherein hyperglycemia occurs either due to lack of insulin secretion and/or reduced insulin sensitivity of the tissues. One of the commonest complications of diabetes is neuropathy and its severity will depend on how long and how high the hyperglycemia has been prevalent. Chronic hyperglycemia in diabetes affects the peripheral nerves and slows psychomotor responses in persons who do not have proper glycemic control. This decreased psychomotor response because improper glycemic control affects the reaction time in diabetics. Objective: to assess and compare the auditory and visual reaction time in group-1 and group-2 diabetics and to correlate it with glycosylated hemoglobin (HbA1c) levels in both the groups. Methods. The study was conducted on 60 subjects aged between 40-50 years after obtaining the permission of the ethical committee of our institution. The group consisted of 60 well-controlled diabetic patients (HbA1c < 7%) with a history of diabetes for 1-10 years attending the medical OPD of Basaveshwar teaching and general hospital, Gulbarga. Diabetics with HbA1c 5-6% were grouped as group-1 and those with HbA1c 6-7% as group 2. The visual reaction time for a green and red light and auditory reaction time for tone and click sound were measured by using reaction time apparatus 2x4, Anand agencies Pune. HbA1c was done by the micro-column method. Results. The visual and auditory reaction time of diabetics with HbA1c 5-6% was faster as compared to the diabetics with HbA1c 6-7% with P< 0.001 and a statistically significant positive correlation was found between HbA1c levels and the visual and auditory reaction time. Conclusion. Poor glycemic control slows psychomotor responses and thus affects the visual and auditory reaction time.
Stereotactic radiotherapy for adrenal oligometastases

Approximately 50% of melanomas, 30–40% of lung and breast cancers and 10–20% of renal and gastrointestinal tumors metastasize to the adrenal gland. Metastatic adrenal involvement is diagnosed by computed tomography (CT ) with contrast medium, ultrasound (which does not explore the left adrenal gland well), magnetic resonance imaging (MRI) with contrast medium and 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18FDGPET-CT ) which also evaluates lesion uptake. The simulation CT should be performed with contrast medium; an oral bolus of contrast medium is useful, given adrenal gland proximity to the duodenum. The simulation CT may be merged with PET-CT images with 18FDG in order to evaluate uptaking areas. In contouring, the radiologically visible and/or uptaking lesion provides the gross tumor volume (GTV ). Appropriate techniques are needed to overcome target motion. Single fraction stereotactic radiotherapy (SRT ) with median doses of 16–23 Gy is rarely used. More common are doses of 25–48 Gy in 3–10 fractions although 3 or 5 fractions are preferred. Local control at 1 and 2 years ranges from 44 to 100% and from 27 to 100%, respectively. The local control rate is as high as 90%, remaining stable during follow-up when BED10Gy is equal to or greater than 100 Gy. SRT-related toxicity is mild, consisting mainly of gastrointestinal disorders, local pain and fatigue. Adrenal insufficiency is rare.
Hydroxyapatite for Biomedical Applications: A Short Overview

Calcium phosphates (CaPs) are biocompatible and biodegradable materials showing a great promise in bone regeneration as good alternative to the use of auto- and allografts to guide and support tissue regeneration in critically-sized bone defects. This can be certainly attributed to their similarity to the mineral phase of natural bone. Among CaPs, hydroxyapatite (HA) deserves a special attention as it, actually is the main inorganic component of bone tissue. This review offers a comprehensive overview of past and current trends in the use of HA as grafting material, with a focus on manufacturing strategies and their effect on the mechanical properties of the final products. Recent advances in materials processing allowed the production of HA-based grafts in different forms, thus meeting the requirements for a range of clinical applications and achieving enthusiastic results both in vitro and in vivo. Furthermore, the growing interest in the optimization of three-dimensional (3D) porous grafts, mimicking the trabecular architecture of human bone, has opened up new challenges in the development of bone-like scaffolds showing suitable mechanical performances for potential use in load bearing anatomical sites.
Dual-Mode Switched Control of an Electropneumatic Clutch Actuator

This paper proposes a stabilizing switched controller for an electropneumatic clutch actuator. Input restrictions arise from the fact that the allocation of air to and from the actuator chamber is governed by on/off valves. The dual-mode controller is a combination of a local and a global switched controller, and asymptotic stability in the region of operation of the clutch is proven. Asymptotic stability is verified and the controller's performance is investigated through experiments in a test vehicle.
Fuzzy logic based soft-start for induction motor drives

Fuzzy logic has received greater emphasis in the field of power electronics and motion control by virtue of its adaptive capability. A novel fuzzy logic based soft-start scheme for induction motor drives close to optimal performance has been discussed using a microprocessor based thyristorised voltage controller. The rule-based soft-start algorithm is fully realised through a software approach only. The soft-start strategy is based on the rise in the power drawn during starting period and the sudden fall in its magnitude at the end of soft-start has been used conceptually in closed-loop. The prototype has been tested under various loading conditions and found to be reliable and near optimal.
Analysis of MNS16A VNTR polymorphic sequence variations of the TERT gene and associated risk for development of bladder cancer

Supplemental Digital Content is available in the text Abstract Background: The MNS16A variable number tandem repeat (VNTR) polymorphism of the human telomerase reverse transcriptase (hTERT) gene acts as a regulator of hTERT promoter activity and has been shown to have a role in the predisposition toward various cancers. The current study aimed to investigate the association between MNS16A VNTR alleles and genetic predisposition to bladder cancer in the Kashmir region of northern India. Materials and methods: A total of 130 patients with bladder cancer and 170 age- and gender-matched healthy controls were included in this study. Primer-specific polymerase chain reaction was used to genotype the different variants of VNTR alleles of the MNS16A VNTR polymorphism. Results: Short allele VNTR-243 (SS) genotype frequency significantly differed between cases (9.23%) and controls (3.52%) (OR = 3.08 [95% CI = 1.10–8.61], p = 0.042). The VNTR-243 short allele (S) was found significantly more frequent in bladder cancer cases (28.46%) than controls (20.88%) (OR = 1.50 [95% CI = 1.03–2.19], p = 0.034). Likewise, the long allele (LL) hTERT MNS16A genotype was distributed more frequently in low stage disease versus high stage disease (60.29% vs. 39.70%) (OR = 0.79 [95% CI = 0.39–1.60], p = 0.595). Conclusion: The MNS16A VNTR short allele (S) was associated with a higher risk for bladder cancer in our population as compared to long alleles.
Interconnect modeling for VLSIs

As scaling is continued down to deep submicron, interconnects become dominating the performance, signal integrity, and reliability of IC chips. However, due to the short history, not much work has been done on the overall interconnect modeling, especially interconnect characterization and statistical interconnect modeling. In interconnect characterization, more systematic methodology should be established in interconnect test structure design and their characterization. New test structures and characterization methods should be developed to characterize the advanced interconnect technology such as low K dielectric and copper. 2D interconnect model library generation has been done by the 2D finite-difference method or finite-element method. However, it takes too long to generate 3D interconnect model library due to the increase of 3D basic structures. Fast multi-pole method or measured equation of inversion are used to speed up the 3D library generation. To avoid errors due to 3D structure partitioning 3D Monte Carlo method is used to simulate the global nets. The ever-increasing clock frequency makes inductive effects more significant. However, it is very challenging to model the on-chip inductance due to its long-range interaction and wide return paths. Worst-case interconnect modeling has been done by the skew-corner method or root-sum-square method. Both methods are too conservative. The newly developed SWIM (Statistically-based Worst-case Interconnect Model generator) improves the worst-case delay within 20%.
Downlink orthogonality factor in UTRA FDD systems

Code orthogonality is a fundamental parameter in determining the system capacity in multiuser DS-CDMA networks. A novel derivation of the orthogonality factor for the UTRA FDD downlink is presented. Using this derivation, the orthogonality factors for representative radio environments are computed and the results discussed.
Understanding Personalization for Health Behavior Change Applications: A Review and Future Directions

Health behavior change (HBC) applications hold much promise for promoting healthy lifestyles, such as enhancing physical activity (PA), diet, and sleep. Incorporating personalization strategies is seen as key to designing effective HBC applications. However, researchers and application designers lack knowledge about the different kinds of personalization strategies, how to implement them, and what strategies work. Thus, we reviewed prior empirical studies on personalization for HBC applications and developed a framework to synthesize the prior studies we identified and to provide an integrative view of the personalization strategies, their inputs, and outcomes. Our findings suggest that researchers have much potential to conduct design research that employs demographic and contextual characteristics for personalization and that examines personalization strategies that target HBC applications’ interface and channels. In terms of implementation and adoption, we call for researchers to examine unaddressed issues such as low adherence and contextual barriers for these applications. We also suggest that researchers need to systematically examine the effects of specific personalization strategies on their efficacy. Other than providing an integrative view of extant studies, our study contributes by outlining key directions for future research in this area.