Miracle-dz/UniFAR-FTUs huggingface dataset:
Availability of Ambient RF Energy in d-Dimensional Wireless Networks

Radio frequency (RF) enabled energy harvesting has garnered increasingly broad applications in energy-constrained wireless networks. In this context, the actual available energy is constrained by the harvesting threshold of RF harvesters. In this paper, we first propose two new metrics, effective energy harvesting probability (EEHP) and spatial mean harvestable energy (SMHE) to characterize the availability of ambient RF energy. Assuming that the transmitters are spatially distributed according to a d-dimensional homogeneous Poisson point process (HPPP), we derive the distributions of the ambient RF energy for networks, from the perspective of information receivers, with and without interference control (IC). The corresponding EEHP and SMHE are given in integral forms for the case with IC and inverse Laplace transform form for the case without IC, respectively. For a special case where the dimension to path loss ratio equals 0.5, closed-form exact/approximate expressions for EEHP and SMHE are derived. Analytical results are validated by Monte Carlo simulations. Numerical results with distinct network parameters indicate that the harvesting threshold always has a significant effect on the EEHP, while the impact on SMHE can be ignored as the transmitter density increases. The general unified framework considered in this paper expands the applicability of the derived results to arbitrary dimensional networks.
Efficiency Analysis of LICI and Select Private Sector Life Insurance Companies in India - A Comparative Study

Insurance refers as a contract in which the insured transfers risk of potential loss to the insurer who promises to compensate the former upon suffering loss. The promise is called the insurer and the promise is called the insured. Insurance premium is the monetary consideration paid by the insured to the insurer for the cover granted by the insurance policy. The objective of the present study is to investigate the factors affecting efficiency of insurance companies operating in India. The target population of the study was 24 public and private life insurance companies and four important financial ratios. For which 10 years audited financial statements of the companies from 2009 to 2019 was studied for analysis. The secondary data were collected by reviewing of financial statements and related published and unpublished materials to achieve the objective of this study.
Feasibility and reliability of measuring muscle stiffness in Parkinson's Disease using MyotonPRO device in a clinical setting in Ghana

Summary Objectives To examine the feasibility and within-session reliability of Myoton technology to measure muscle stiffness objectively in people with Parkinson's disease in an outpatient setting Design An exploratory quantitative study design was used. Setting The study was conducted in the outpatient physiotherapy department of a Teaching Hospital in Ghana. Participants were recruited from three sites. Participants Thirty adults with Parkinson's disease over 18 years with increased tone (muscle stiffness) and at Hoehn and Yahr Stages I-III were studied. Persons with severe comorbidities were excluded. Intervention There was no intervention before testing. The MyotonPRO device measured the mechanical properties of the biceps brachii, flexor carpi radialis and tibialis anterior muscles in a relaxed supine position. The probe applied mechanical impulses to the skin, eliciting tissue oscillations. The muscles' three parameters (stiffness, non-neural tone and elasticity) were recorded bilaterally. The reliability of two sets (of 5 impulses) of Myoton data on all three muscles was examined. Results All 30 participants (66.3±8.9 years) were recruited and tested within eight weeks. Intraclass correlation coefficients (ICC 3,2) were above 0.92 for biceps brachii and tibialis anterior and above 0.86 for flexor carpi radialis. Conclusion The MyotonPRO was reliable for measuring two sets of data within the same session, indicating that only one set of measurements is needed. The technique is feasible and easy to use in a clinical setting in Ghana, with the potential to assess the effect of medical and physiotherapy interventions on muscles in people with Parkinson's disease. Funding M.S discloses a grant from the Science and Technology Facilities Council Impact Acceleration Account at the University of Southampton to support this collaborative research (no personal finance received). All other authors, M.W. A, P.E. M, C.O. Y, B.E. A.S, S.A. -B, and A.A have no financial disclosure
COMPACT AND BROADBAND DUAL-MODE DIPOLE ANTENNA

|A compact and broadband stub-loaded dual-mode dipole antenna is proposed. In this paper, the (cid:12)rst- and third-order modes are combined to achieve broadband frequency response. To do so, the third-order mode is compressed close to the (cid:12)rst-order mode by loading two pairs of identical stubs at an optimal distance from the dipole-centre. Stubs are symmetrically loaded to both the arms of the dipole. Stub parameters such as length, width, and location play a critical role in decreasing the third-order mode frequency. Therefore, a parametric analysis is also carried out to see the eﬀects of variation in the stub parameters. The proposed antenna is fabricated, and measurements are performed to verify the simulation results. A good agreement between the simulated and measured results is obtained.
Shear Strengthening of RC Beams Using NSM GFRP Bars or CFRP U-Wrap Sheets

Fiber-reinforced polymers (FRPs) have been in view for the past three decades due to their high strength-to-weight ratio and resistance to corrosion. They are widely used as sheets, externally adhered to re-inforced concrete (RC) beams to be strengthened in shear. Although this technique is common, FRP sheets are exposed during their service life to environmental factors. As such, near-surface mounted (NSM) FRP bars may be more favored in shear strengthening of RC beams. Thus, this work experimentally investigates the performance of RC beams strengthened in shear using NSM FRP bars. The experimental results are com-pared to provisions of ACI 440.2-08 for FRP laminates and to design procedures proposed by De Lorenzis and Nanni (2001) and Dias and Barros (2010) for NSM bars. The current investigation reveals that ACI 440.2-08 overestimate the shear capacity of strengthened beams for widely spaced FRP laminate; thus, an up-per limit on the spacing between the sheets should be included in the current provisions. On the other hand, De Lorenzis and Nanni model correctly predicts the capacity of beams strengthened in shear using NSM bar; however, this model still needs a limit on the minimum spacing between the NSM bars.
Deep Learning-Based Named Entity Recognition System Using Hybrid Embedding

Abstract Retrieval of meaningful information out of voluminous data available on the internet is a big challenge these days. Named entity recognition system deals with this challenge efficiently and achieves promising results in accessing information of interest in several NLP applications. The present study proposes a deep learning-based named entity recognition system using hybrid embedding which is the combination of fasttext and bidirectional LSTM based character embedding. These embeddings capture the contextual, syntactic and semantic properties of the text which improves the cognitive power of deep learning methods. We have performed different experiments with important variants of recurrent neural network (RNN) namely long short-term memory network (LSTM) and bidirectional LSTM as well as gated recurrent unit (GRU) and bidirectional GRU on manually annotated Punjabi dataset and annotated Hindi dataset collected from international joint conference on natural language processing (IJCNLP-08) website. We have also explored different word embeddings and character embeddings for named entity recognition task. Out of all the experiments, the bidirectional GRU model using hybrid embedding has outperformed with precision, recall, and f-score values of 84%, 83%, and 83.50% respectively for Punjabi named entity recognition and 75%, 77%, 75.99% respectively for Hindi named entity recognition.
Recent Progress in the Design of 4G/5G Reconfigurable Filters

Currently, several microwave filter designs contend for use in wireless communications. Among various microstrip filter designs, the reconfigurable planar filter presents more advantages and better prospects for communication applications, being compact in size, light-weight and cost-effective. Tuneable microwave filters can reduce the number of switches between electronic components. This paper presents a review of recent reconfigurable microwave filter designs, specifically on current advances in tuneable filters that involve high-quality factor resonator filters to control frequency, bandwidth and selectivity. The most important materials required for this field are also highlighted and surveyed. In addition, the main references for several types of tuneable microstrip filters are reported, especially related to new design technologies. Topics surveyed include microwave and millimetre wave designs for 4G and 5G applications, which use varactors and MEMSs technologies.
Preoperative MRI to Improve Aesthetic Outcomes in Secondary Mastopexy Augmentation: A Step-by-Step Approach

Abstract Background Secondary mastopexy augmentation is challenging because of compromised blood supply to the nipple areola complex (NAC). The operating surgeon often relies on clinical judgment and may perform a more conservative elevation of the NAC to minimize the risk of nipple necrosis. Despite this, the danger of necrosis persists. In our experience, MRI with contrast has enhanced preoperative planning in both cosmetic and reconstructive cases. Objectives The goals of this article are to describe our use of preoperative MRI in identifying the blood supply to the NAC, evaluating dermo glandular thickness, decreasing surgical complications, and improving outcomes in secondary mastopexy augmentation. Methods A consecutive series of secondary mastopexy augmentation procedures performed in 2021 were reviewed. In each case, preoperative maximum intensity projection (MIP) and/or high-resolution T1-weighted contrast enhanced MRI imaging was reviewed to elucidate the blood supply to the NAC and quantify the dermo glandular thickness. The imaging was used to formulate the operative plan. Preoperative and postoperative photographs were compared. Results Eight cases were performed, four of which were selected to demonstrate our method using breast MRI with contrast in step-by-step approach. Patient satisfaction was high. The NAC survived in all cases. Conclusions Surgeons can utilize preoperative breast MRI for strategic operative planning when performing secondary mastopexy augmentation. Visualization of the blood supply to the NAC and dermo glandular flap thickness are vitally important when performing a more aggressive lift of the breast. Level of Evidence: 3
INFILTRATION RATE AND ITS RELATION IRRIGATION SCHEDUAL FOR WIND ERODED AREAS IN EL - SHEIKH ZEWIED, NORTH SINAI, EGYPT

The current work was carried out at El-Sheikh Zewied, Agricultural Experimental Station of the Desert Research Center, North Sinai Governorate, to study the infiltration rates and other soil physical and chemical properties and their relation to irrigation schedule in the wind eroded areas. The area are divided into three zones, eroded zone, transport zone and depositional zone, each zone included three infiltration tests and three soil profiles, the distance between each test is about 50 m along the wind direction, the second zone (transport) is about 500 m from the first zone (eroded) and the third zone (depositional) is about 1500 m apart from the second zone. Results show that the infiltration rates decrease gradually along the wind direction and the coarse sand fraction of soil texture also decreases gradually along the wind direction, while the reverse is true with fine sand fraction of soil texture. Similar trends were obtained with electric conductivity dS/m and cations and anions concentrations. Also, the obtained results show that for irrigation frequencies, of coarse and medium sand textured soil, watermelon, tomato and peaches can be grown satisfactorily using sprinkler or drip irrigation, except for barley and olives. In case of fine sand textured the irrigation frequencies are larger than 9 days, surface irrigation under special conditions was applied for all crops, in spite of the high intake rates.
EFFECT OF GROWTH REGULATORS ON ESSENTIAL OILS COMPOSITION OF Lavandula officinalis TISSUE CULTURES.

Shoot tips and leaves from Lavandula officinalis L. of mature greenhouse-grown plants were inoculated aseptically on callus initiation medium. Callus cultures were subcultured on MS-media supplemented with different growth regulators. The influence of growth regulators (2,4-D, BA, NAA and kinetin) on composition of the volatile compounds has been analyzed individually by gas chromatography (GC) for both types of callus tissues as well as the chemical analysis of in vitro produced plant leaves in comparison with the intact mature plants. Results obtained indicated that application of BA enhanced greatly the growth of shoot-tips derived callus which accounted about two times of that shown in MS-free-hormone medium, while application of kinetin is the most suitable regulating substance for enhanced leaves derived callus growth. Results also indicated that no essential oils were synthesized in shoot-tips and leaves derived callus originated from medium free from any growth regulators, while application of all growth regulators investigated enhanced markedly the biosynthesis of essential oils, which varied greatly at different extents. However, comparison of components, content of the oils and chemical composition between in vitro produced plants with those of leaves from plants growing in their natural habitat revealed that an increase in essential oil concentration accounted by 17% in in vitro plant and there is a profound differences in the composition of essential oils, but no considerable differences was observed in chemical composition.
An Automatic, Contactless, High-Precision, High-Speed Measurement System to Provide In-Line, As-Molded Three-Dimensional Measurements of a Curved-Shape Injection-Molded Part

In the manufacturing of injection-molded plastic parts, it is essential to perform a non-destructive (and, in some applications, contactless) three-dimensional measurement and surface inspection of the injection-molded part to monitor the part quality. The measurement method depends strongly on the shape and the optical properties of the part. In this study, a high-precision (±5 µm) and high-speed system (total of 24 s for a complete part dimensional measurement) was developed to measure the dimensions of a piano-black injection-molded part. This measurement should be done in real time and close to the part’s production time to evaluate the quality of the produced parts for future online, closed-loop, and predictive quality control. Therefore, a novel contactless, three-dimensional measurement system using a multicolor confocal sensor was designed and manufactured, taking into account the nominal curved shape and the glossy black surface properties of the part. This system includes one linear and one cylindrical moving axis, as well as one confocal optical sensor for radial R-direction measurements. A 6 DOF (degrees of freedom) robot handles the part between the injection molding machine and the measurement system. An IPC coordinates the communications and system movements over the OPC UA communication network protocol. For validation, several repeatability tests were performed at various speeds and directions. The results were compared using signal similarity methods, such as MSE, SSID, and RMS difference. The repeatability of the system in all directions was found to be in the range of ±5 µm for the desired speed range (less than 60 mm/s–60 degrees/s). However, the error increases up to ±10 µm due to the fixture and the suction force effect.
The Effect of Bariatric Surgery on Circulating Levels of Lipoprotein (a): A Meta-analysis

Background Obesity, especially severe obesity, is associated with a higher risk of atherosclerotic cardiovascular disease (ASCVD) morbidity and mortality. Bariatric surgery is a durable and effective weight loss therapy for patients with severe obesity and weight-related comorbidities. Elevated plasma levels of lipoprotein (a) (Lp(a)) are causally associated with ASCVD. The aim of this meta-analysis was to analyze whether bariatric surgery is associated with Lp(a) concentrations. Methods A literature search in PubMed, Scopus, Embase, and Web of Science was performed from inception to May 1st, 2021. A random-effects model and the generic inverse variance weighting method were used to compensate for the heterogeneity of studies in terms of study design, treatment duration, and the characteristics of the studied populations. A random-effects metaregression model was used to explore the association with an estimated effect size. Evaluation of funnel plot, Begg's rank correlation, and Egger's weighted regression tests were used to assess the presence of publication bias in the meta-analysis. Results Meta-analysis of 13 studies including 1551 patients showed a significant decrease of circulating Lp(a) after bariatric surgery (SMD: -0.438, 95% CI: -0.702, -0.174, p < 0.001, I2: 94.05%). The results of the metaregression did not indicate any significant association between the changes in Lp(a) and duration of follow-up after surgery, reduction in body mass index, or baseline Lp(a) concentration. The reduction in circulating Lp(a) was robust in the leave-one-out sensitivity analysis. Conclusion Bariatric surgery significantly decreases circulating Lp(a) concentrations. This decrease may have a positive effect on ASCVD in obese patients.
Examining Public Library Collaborative Partnerships with School Makerspaces and “Making Programmes”

Abstract Scholarly investigations into the extent and nature of schools and public libraries collaborating in the “maker/making” space are scant. This research sets out to address this knowledge gap, by investigating the perspectives of public libraries’ staff: How public libraries and schools have worked together on makerspaces and “making” programmes, the motivations for and the nature of collaborations, and challenges that need addressing for successful collaborations, and their perceived outcomes of such collaborations. This study shows how through collaborating with schools, public libraries can make meaningful contributions to social and digital inclusion in their communities, fulfilling their roles as social institutions. Our findings highlight the importance of contextual flexibility to be considered in such collaborations, with partnering organizations negotiating a suitable model for working together. The roles and contributions of each party involved could be considered across spectrums of engagement, planning, resource-sharing, and activities, depending on the contextual needs, priorities, and requirements of the partnering institutions. We discuss how these can be achieved through dialogic communication for sustained partnerships.
Similar protein segments shared between domains of different evolutionary lineages

The emergence of novel proteins, beyond these that can be readily made by duplication and recombination of preexisting domains, is elusive. De novo emergence from random sequences is unlikely because the vast majority of random chains would not even fold, let alone function. An alternative explanation is that novel proteins emerge by duplication and fusion of pre‐existing polypeptide segments. In this case, traces of such ancient events may remain within contemporary proteins in the form of reused segments. Together with the late Dan Tawfik, we detected such similar segments, far shorter than intact protein domains, which are found in different environments. The detection of these, “bridging themes,” was based on a unique search strategy, where in addition to searching for similarity of shared fragments, so‐called “themes,” we also explicitly searched for cases in which the sequence segments before and after the theme are dissimilar (both in sequence and structure). Here, using a similar strategy, we further expanded the search and discovered almost 500 additional “bridging themes,” linking domains that are often from ancient folds. The themes, of 20 residues or more (average 53), do not retain their structure despite sharing 37% sequence identity on average. Indeed, conformation flexibility may confer an evolutionary advantage, in that it fits in multiple environments. We elaborate on two interesting themes, shared between Rossmann/Trefoil‐Plexin‐like domains and a β‐propeller‐like domain.
PRODUCTION OF SALT-TOLERANT SOUR ORANGE PLANTS (Citrus aurantium L.) BY USING TISSUE CULTURE TECHNIQUE: IV-MICROPROPAGATION OF SALT-TOLERANT PLANTLETS

This study was conducted through 1996-1999 years in the Department of Pomology, Alexandria University. This work involved the development of an efficient protocol for in vitro propagation of salt tolerant plantlets of sour orange from shoot tips excised from the fully grown embryoids (obtained by somatic embryogenesis). The main results can be summarized in the following points: 1-On the MS (1962) medium containing 1mgl -1 BAP, 0.5mgl -1 kinetin and 0.5mgl -1 NAA, the percentage of cultures with multiple shoots was significantly the highest (80%). The average number of proliferated shoots was significantly the highest (6.798). The average length of proliferated shoot was significantly the highest (2.64 cm). 2- The MS (1962) medium containing 0.25 mgl -1 BAP + 0.5 mgl -1 NAA +0.5 mgl -1 IBA resulted significantly the highest rooting percentage of proliferated shoots (80.00%). Also, on the same medium, the average number of roots per proliferated shoot was significantly the highest (4.84). The average length of root per proliferated shoot was significantly the highest (1.6cm). 3- Eighty percent of the salt – tolerant plants of sour orange were successfully transplanted in soil. These plants survived, grew vigorously and showed no damage at 10gl -1 NaCl compared to the control plants (derived from NaCl sensitive callus) which showed sever leaf burn, progressive wilting and decreased growth at 2gl -1 NaCl.
Energy Trading with Electric Vehicles in Smart Campus Parking Lots

Energy trading with electric vehicles provides opportunities to eliminate the high peak demand for electric vehicle charging while providing cost saving and profits for all participants. This work aims to design a framework for local energy trading with electric vehicles in smart parking lots where electric vehicles are able to exchange energy through buying and selling prices. The proposed architecture consists of four layers: the parking energy layer, data acquisition layer, communication network layer, and market layer. Electric vehicles are classified into three different types: seller electric vehicles (SEVs) with an excess of energy in the battery, buyer electric vehicles (BEVs) with lack of energy in the battery, and idle electric vehicles (IEVs). The parking lot control center (PLCC) plays a major role in collecting all available offer/demand information among parked electric vehicles. We propose a market mechanism based on the Knapsack Algorithm (KPA) to maximize the PLCC profit. Two cases are considered: electric vehicles as energy sellers and the PLCC as an energy buyer, and electric vehicles as energy buyers and the PLCC as an energy seller. A realistic parking pattern of a parking lot on a university campus is considered as a case study. Different scenarios are investigated with respect to the number of electric vehicles and amount of energy trading. The proposed market mechanism outperforms the conventional scheme in view of costs and profits.