Miracle-dz/UniFAR-FTUs huggingface dataset:
MetaSense: Integrating Sensing Capabilities into Mechanical Metamaterial

In this paper, we present a method to integrate sensing capabilities into 3D printable metamaterial structures comprised of cells, which enables the creation of monolithic input devices for HCI. We accomplish this by converting select opposing cell walls within the metamaterial device into electrodes, thereby creating capacitive sensors. When a user interacts with the object and applies a force, the distance and overlapping area between opposing cell walls change, resulting in a measurable capacitance variation. To help designers create interactive metamaterial devices, we contribute a design and fabrication pipeline based on multi-material 3D printing. Our 3D editor automatically places conductive cells in locations that are most affected by deformation during interaction and thus are most suitable as sensors. On export, our editor creates two files, one for conductive and one for non-conductive cell walls, which designers can fabricate on a multi-material 3D printer. Our applications show that designers can create metamaterial devices that sense various interactions, including sensing acceleration, binary state, shear, and magnitude and direction of applied force.
Deep Learning Based Modulation Classification: A Survey with a Demonstration

: In this paper, we survey an assortment of deep learning calculations and models for balance acknowledgment and grouping of remote correspondence signals. In particular, deep learning (DL) enjoys shown overpowering benefits in PC vision, mechanical technology, and voice acknowledgment. As of late, DL has been proposed to apply to remote correspondences for signal recognition and grouping to all the more likely get familiar with the dynamic clients for electromagnetic range sharing purposes. Subsequently, we intend to give an overview on the latest methods which use DL for perceiving and grouping a remote sign. We center on the most broadly utilized DL models, underscore the benefits and constraints, and talk about the difficulties just as future bearings. Moreover, we additionally apply a DL calculation, convolutional neural network (CNN), to show the plausibility of utilizing CNN to perceive and group the over-the-air remote signal
Relation to Immunosuppressants?

A 35-y-old woman with pyrexia of unknown origin was referred to the Nuclear Medicine Department for an 18FFDG PET scan. She had undergone heart–lung transplantation for secondary pulmonary hypertension 4 mo previously. After transplantation she developed organizing pneumonia proven on transbronchial biopsies for which she required treatment with pulsed methyl prednisolone. Three months after surgery, she developed intermittent pyrexia with daily spikes of temperature up to 38.5°C. Her lung function was normal, and repeated bronchoscopy and transbronhial biopsies at that time revealed no evidence of rejection or persistent pneumonia. The chest radiograph and CT scan showed carinal and paratracheal lymphadenopathy (Fig. 1). On the clinical suspicion of lymphoproliferative disorder, she underwent a mediastinotomy and lymph node sampling, which revealed normal reactive lymph nodes with no evidence of malignancy. The whole-body PET scan demonstrated an irregular increase in tracer activity in the mediastinum consistent with the clinical suspicion of lymphoma (Fig. 2). In addition, markedly increased uptake was present in almost all major muscle groups, including those of the neck, thorax, pelvis, abdomen, and the extremities (Fig. 2). There were no obvious morphologic changes in these muscles on CT. The patient’s medication at the time of PET included the immunosuppressants tacrolimus and mycophenolate mofetil in addition to lansoprazole and pravastatin sodium. There was no history of hyperglycemia, insulin administration, or noticeable muscle activity before imaging. The plasma creatinine kinase (CK) remained normal before and after the PET study. A repeated bronchoscopy showed a large polypoid mass in the right upper lobe bronchus, which, on biopsy, confirmed high-grade B-cell posttransplantation lymphoproliferative disease.
The Nexus between Environmental Impact and Agricultural Sector Linkages: A Case Study of Pakistan

Agriculture has a substantial environmental impact. However, little research has been conducted on the relationship between agriculture’s environmental impacts and linkages, particularly for the key agriculture-based Pakistani economy. Additionally, the literature on environmental linkages rarely estimates multiple types of linkages in a single study. This study fills these critical research gaps. The study estimates the land, water, nitrogen, and CO2 impacts and linkages of Pakistan’s agriculture sector using an input–output model and the hypothetical extraction method. The results indicated that agriculture directly accounted for approximately 27%, 93%, 92%, and 1% of Pakistan’s total sectoral land, water, nitrogen, and CO2 impacts (LWNC), respectively. While the sector indirectly contributed almost 2%, 0.3%, 0.4%, and 0.4% of Pakistan’s total LWNC. The bulk of direct LWNC impacts were caused by agricultural purchases from downstream sectoral importers. The majority of the indirect LWNC impacts were induced by agriculture’s re-imports. The agricultural purchases from the downstream sector of “Food and Beverages” induced the greatest environmental impact. To ensure sustainable agriculture, particularly in Pakistan, the agriculture sector’s direct and indirect environmental impacts should be reduced not only through better management practices and technology, but also by focusing on intermediate sectoral sources of direct and indirect environmental impacts.
Spatial extension as a “smoking gun” for dark subhalo detection with Fermi-LAT and implications for WIMP constraints

Spatial extension has been hailed as a “smoking gun” in the gamma-ray search of dark galactic subhalos, which would appear as unidentified sources for gamma-ray telescopes. In this work, we study the actual sensitivity of the Fermi-LAT to extended subhalos using simulated data based on a realistic sky model for the first time. We generate spatial templates for a set of representative subhalos, whose parameters were derived from our previous work with N-body cosmological simulation data. We find that detecting an extended subhalo and finding an unequivocal signal of angular extension requires, respectively, a flux 2 to 10 times larger than in the case of a pointlike source. By studying a large grid of models, where parameters such as the WIMP mass, annihilation channel or subhalo model are varied significantly, we obtain the response of the LAT as a function of the product of annihilation cross section times the J-factor. Indeed, we show that spatial extension can be used as an additional “filter” to reject subhalos candidates among the pool of unidentified LAT sources, as well as a “smoking gun” for positive identification. We conclude that typical angular extensions of about 0.3◦ are expected for the considered scenarios. Finally, we also study the impact of the obtained LAT sensitivity to such extended subhalos on the achievable dark matter constraints, that now worsen by a factor of a few with respect to the point-source limits.
Interactive comment on “Effects of strongly eddying oceans on multidecadal climate variability in the Community Earth System Model” by André Jüling et al

This study aimed to test the hypothesis that mesoscale resolving climate models can better simulate multidecadal climate variability of the climate system. To do so, the authors compared two simulations with constant 2000 GHG condition from the Community Earth System Model (CESM) – one with 1 degree and one with 0.1 degree ocean grid – with observational records. Specifically, the authors compared 3 climate indices between these datasets: Atlantic Multidecadal Variability (AMV), Pacific Decadal Oscillation (PDO), and Southern Ocean Mode (SOM). The authors also compared surface heat fluxes (SHF), ocean heat content (OHC), and global mean surface temperature (GMST) between these two simulations. The authors found an improvement in simulating these climate modes using the high resolution model. The low frequency of SHF
Özofagus Cerrahisi Sonrası Gelişen Candida hellenica Kandidemisi Candida hellenica Candidemia Occurred After Esophagus Surgery

In this study, a case of candidemia caused by Candida hellenica as the first report in our country was presented. Fluconazole and liposomal amphotericin B treatment was initiated in a 20-year-old male patient in October 2018 due to the diagnosis of candidemia following esophageal surgery. The patient had a history of multiple esophageal operations. The patient was discharged during the last 24 hours due to the lack of fever, improvement in general condition and lack of growth in blood cultures. Germination tube test of the Candida isolate grown in blood culture was negative and the colony morphology in corn meal tween 80 agar was not defining. It was identified as C.hellenica according to the profile obtained from the ID32C® (bioMérieux, France) method based on carbohydrate assimilation. The target ITS regions of the rRNA genes were amplified by polymerase chain reaction and sequenced using suitable primers for the confirmation of the identification on species level. The DNA sequences obtained were searched by using the “National Center for Biotechnology Information (BLAST)” (http://www.ncbi.nlm.nih.gov/ BLAST/) database and the isolate was identified as C.hellenica with a 99% homology with GenBank sequences. MALDI-TOF (Vitek MS, bioMerieux) could not identify the yeast isolate. The reference microdilution method was performed according to the recommendations of the Clinical and Laboratory Standards Institute in order to test the antifungal susceptibility. The minimal inhibitory concentrations for the isolate, determined after 24-hour incubation were 0.25 μg/ml for amphotericin B, 8 μg/ml for fluconazole, 0.25 μg/ml for voriconazole, and 0.25 μg/ml for itraconazole. As our case had a previous history of gastrointestinal tract surgery it was thought that gastrointestinal tract was the endogenous source of candidemia by leading to mucosal disruption and this mucosal disruption might facilitate the translocation of Candida. The carbohydrate assimilation test ID32C®, was able identify the causative agent of candidaemia at the species level in this case. However, uncommon or previously unrecognized organisms may be misidentified by commercial systems. While the phenotypic definition is sufficient in routine laboratories, it is mandatory to confirm the microorganism species definition by DNA sequence analysis, as done in this case. We have presented a correctly identifed and successfully treated candidemia case. Although the candidemia was not mortal in our patient, the mortality rate of candidemia which is 50%, should be remembered. A total of two C.hellenica infections have been reported in the literature, including one candidaemia and one respiratory tract colonization. Our successfully treated case was presented to draw attention to this rare infectious agent.
The Moderating Effect of Employee Satisfaction on the Relationship of Goal- Setting and Purposes, Fairness and Rating Scale Format with Employee Job Performance

ARTICLE DETAILS ABSTRACT History Revised format: February 2020 Available Online: March 2020 The aim of this article is to explore the moderating effect of employee satisfaction on the relationship of goal-setting and purposes, fairness and rating scale format with employee job performance in the academic setting. Data were collected through survey questionnaire from 300 employees working in six public sector universities of KP, Pakistan. Multiple regression analysis has been used to test the hypothesis. The dimensions of the performance appraisal were found to be significantly correlated to employee job performance and employee satisfaction played a crucial role in moderating this relationship. Potential reasons and suggestions for managers and employees are discussed. The paper adds to the current pool of knowledge on the links among goal-setting and purposes, fairness, rating scale format, employee satisfaction and employee job performance. Various facets of these constructs were analyzed, so as to give an extensive and more ample understanding of the determinants that influence employer and employees.
Enteric and Central Nervous System Mediated Control of Digestive Processes in the Small Intestine: a Coprocessor-Processor Paradigm

The small intestine is part of the gastrointestinal tract that facilitates further breakdown of the meal, extract the nutrients, absorb them efficiently and expel the left over remains of the digesta. They help in managing various digestive processes that involve buffering of the chyme, mixing with small intestinal secretions and bile, absorption and transport. In general, the small intestine functions as a bioreactor in an efficient way by employing neurohormonal means for regulating the digestive processes. Part of the regulatory functions involving-eliciting motility patterns, control of secretions and emptying of the bowels are locally mediated by the enteric reflexes, however the physiological functions demanding homeostasis requires the intervention of the central nervous system. In this review, we explore the nature of regulating mechanisms that are managed partly by the enteric nervous system (ENS) as analogous to a coprocessor and works in conjunction with the central nervous system (CNS), the primary processor to manage the extensive task of digesting the meal.
Genetic diversity of Koala retrovirus ( KoRV ) env gene subtypes : Insights 1 into northern and southern koala populations 2

School of Veterinary Science, The University of Queensland, Australia 6 School of Animal and Veterinary Sciences, The University of Adelaide, Australia 7 School of Veterinary Medicine and Science, University of Nottingham, United Kingdom 8 School of Biological Sciences, The University of Queensland, Australia 9 Advanced Data Analysis Centre (ADAC), University of Nottingham, United Kingdom 10 Laboratory Sciences & Services Division, International Centre for Diarrhoeal Disease Research, 11 Bangladesh 12 School of Animal, Rural and. Environmental Sciences, Nottingham Trent University, United Kingdom 13 14 *Corresponding authors: 15 (a) Professor Joanne Meers 16 Email: j.meers@uq.edu. au 17 18 (b) Nishat Sarker 19 Email: nishat.sarker@icddrb.org; n.sarker@uq.edu. au 20 21 22
Environmental Regulations, Air Pollution, and Infant Mortality in India: A Reexamination

This paper reexamines empirical evidence on the effectiveness of environmental regulations in India from a recent study by Greenstone and Hanna (GH, 2014). GH report that air pollution control policies in India were effective in improving air quality but had a modest and statistically insignificant effect on infant mortality. These somewhat counterintuitive findings are likely to stem from the limited availability of ground-based air pollution data used in GH and the absence of critical meteorological confounders. I leverage recent advances in satellite technology and GH’s methodology to test the sensitivity of their findings to revised air pollution outcomes, an extended number of observations, and meteorological controls. Despite striking differences between the two datasets, reexamination using satellite-based data confirms the conclusions drawn from GH’s data. The effects of the policies are, however, substantially weaker. The paper urges further research on the effectiveness of environmental regulations in developing countries and the use of satellite imagery in the examination of this important question.
Blood circulation infections and empirical treatment approach in hemodialysis patients

DOI: 10.4328/ACAM.20246 Received: 2020-06-12 Accepted: 2020-07-17 Published Online: 2020-07-27 Printed: 2020-11-01 Ann Clin Anal Med 2020;11(6):563-567 Corresponding Author: Derya Bayirli Turan, Department of Infectious Diseases and Clinical Microbiology, İstanbul Yeni Yüzyıl University Faculty of Medicine Gaziosmanpaşa Hospital, Istanbul, Turkey. E-mail: deryabturan@gmail.com P: +90 532 607 46 64 F: +90 212-6153849 Corresponding Author ORCID ID: https://orcid.org/0000-0002-7505-341X Abstract Aim: Catheter infection is an important complication of hemodialysis that may cause sepsis and death. In our study, it was aimed to analyze the catheter and blood culture results of patients who underwent hemodialysis due to chronic kidney failure. Materials and Methods: In a special dialysis center providing ambulatory hemodialysis service, 1202 patients with chronic renal failure who underwent hemodialysis between January 2017 and June 2019 were included in the study. At least one hemodialysis catheter lumen and simultaneous peripheral blood culture were taken from patients with the suspicion of catheter-related bloodstream infection. In 95 of the patients, 115 catheter-related bloodstream infections attacks were detected. The results were evaluated retrospectively. Results: Gram-positive and Gram-negative bacteria were grown in 66.1% and 33.9%, respectively. The most frequent microorganisms were coagulasenegative staphylococci (42.7%), Staphylococcus aureus (14.5%), and Enterobacter cloacae (13.7%). A total of 38.9% of the S. aureus isolates were resistant to methicillin. All of the E. cloacae isolates were susceptible to high levels of aminoglycosis, carbapenems, colistin, and tigecycline. The detection rate of polymicrobial bacteraemia was 8.6%. Discussion: Our study was one of the rare studies investigating catheter-induced bacteraemia cases and a possible Gram-negative bacterial outbreak in hemodialysis patients. We consider that the data of our study about the microorganisms in hemodialysis catheter-related bacteraemia cases will be informative to clinicians and researchers, and it will be remarkable for taking measures to protect hemodialysis patients against possible outbreaks.
Factors Affecting the Adoption of Digital Payment Systems

Payment for goods and services in Nepal is characterized by long queues; long distance traveling and time wasting that generally affect business activities and ultimately economic development. Settling utility bills, payment for goods and services, and money transfers has been a major headache for individual and firms in Nepal resulting in declined business activities and huge debt to most of the utility providers. In fact, the country have not yet realize the full benefits of the technological advances in electronic payment such as the use of cards, automated teller machines (ATM), the Internet, mobile phones, and other devices. To identify factors that influence the acceptance of these payment systems a theoretical extension of the Technology Acceptance Model, Theory of Planned Behaviour and Trust was used to evaluate the factors that influence the adoption and acceptance of the information technology and system of Internet; in the e-Finance sector in Nepal, especially in digital transaction services. This study will address the questions about the factors that affect the adoption of digital transaction services and the extent these factors affect people’s intention towards the adoption of those services.
Site U1542

F. Lamy, G. Winckler, C.A. Alvarez Zarikian, H.W. Arz, C. Basak, A. Brombacher, O.M. Esper, J.R. Farmer, J. Gottschalk, L.C. Herbert, S. Iwasaki, V.J. Lawson, L. Lembke-Jene, L. Lo, E. Malinverno, E. Michel, J.L. Middleton, S. Moretti, C.M. Moy, A.C. Ravelo, C.R. Riesselman, M. Saavedra-Pellitero, I. Seo, R.K. Singh, R.A. Smith, A.L. Souza, J.S. Stoner, I.M. Venancio, S. Wan, X. Zhao, and N. Foucher McColl2
EffectofSoilPropertiesonGrowthof Quercus ilex L . inHumidand Cold Mountains of Morocco

+e dependence of oak growth on environmental stressors is fairly well documented, but little is known about the impact of soil type on growth plasticity and as predisposing factors to root branching. Here, we aim to investigate how textural and physicochemical properties of soil affect the growth ofQuercus Ilex L. We compare the aboveand below-ground growth of saplings on three sandy soil(s) of the Middle Atlas. +e textural and physicochemical characterization showed that the soils differed mainly in the gravel, average and fine sand, organic matter, and nitrogen proportions. All tested properties of the three sandy soils do not affect the above-ground growth. +e statistical analysis showed that the growth synchronization between the main and lateral roots was affected by the soil type. +e statistics showed that the microvariation of the soil texture (>5, 0.2–0.4, and 0.063–0.2mm) and the level of nitrogen and not that of the limestone in the soil control the length and thickness of the main root and the production and distribution of biomass of lateral roots. +ey also showed that these soil properties affect the sink/source competitions between the roots and the leaves and the compensatory growth of roots.
A clustering approach to determine biophysical provinces and physical drivers of productivity dynamics in a complex coastal sea

Abstract. The balance between ocean mixing and stratification influences primary productivity through light limitation and nutrient supply in the euphotic ocean. Here, we apply a hierarchical clustering algorithm (Ward's method) to four factors relating to stratification and depth-integrated phytoplankton biomass extracted from a biophysical regional ocean model of the Salish Sea to assess spatial co-occurrence. Running the clustering algorithm on four years of model output, we identify distinct regions of the model domain that exhibit contrasting wind and freshwater input dynamics, as well as regions of varying watercolumn-averaged vertical eddy diffusivity and halocline depth regimes. The spatial regionalizations in physical variables are similar in all four analyzed years. We also find distinct interannually consistent biological zones. In the Northern Strait of Georgia and Juan de Fuca Strait, a deeper winter halocline and episodic summer mixing coincide with higher summer diatom abundance, while in the Fraser River stratified Central Strait of Georgia, shallower haloclines and stronger summer stratification coincide with summer flagellate abundance. Cluster based model results and evaluation suggest that the Juan de Fuca Strait supports more biomass than previously thought. Our approach elucidates probable physical mechanisms controlling phytoplankton abundance and composition. It also demonstrates a simple, powerful technique for finding structure in large datasets and determining boundaries of biophysical provinces.
Clinical characteristics of drug users hospitalized in an intensive care unit * Original Article

Pereira GB, Silveira KL, Borges CLS, Oliveira MM. Clinical characteristics of drug users hospitalized in an intensive care unit. SMAD, Rev Eletrônica Saúde Mental Álcool Drog. 2020;16(2):1-8. doi: https://dx.doi. org/10.11606/issn.1806-6976.smad. 2020.158506 SMAD, Rev. Eletrônica Saúde Mental Álcool Drog. 2020 Mar.-Apr.;16(2):34-41 DOI: 10.11606/issn.1806-6976.smad. 2020.158506 www.revistas. usp.br/smad/
Induction Machines Analysis Using Labview Software Package

Induction machines are widely used in many industries due to their robustness, ruggedness and easy maintenance feature. Due to the addition of power electronics devices and the complexity involved in the design of induction machines, their study and analysis can be very difficult. The use of software packages has been widely adopted to analyze and study the behaviours of induction machines. This work focused on the use of an engineering software package known as Laboratory Virtual Instrument Engineering Workbench (LabVIEW). It is used in this work to study the behaviour and characteristics of induction machines. LabVIEW was utilized due to its cheap and user friendly feature. This work shows that induction machines can be completely analyzed using related mathematical equations for performance analysis.