Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypoglycemia prevention: An innovative approach.

AT OUR NONPROFIT community hospital, the multidisciplinary glycemic control committee is committed to providing the best care to patients with diabetes. One of the goals of our inpatient diabetes program is to reduce hypoglycemic events. The committee identified the need to sharpen and develop critical thinking skills in the management and prevention of hypoglycemia. A hypoglycemia audit tool was developed in paper form. The purpose of the tool was to increase awareness of signs and symptoms of hypoglycemia, possible cause(s), and treatment, and to stress the importance of alerting the primary medical team immediately when an event occurs. The ultimate goal was to improve nurses’ critical thinking skills and, at the same time, change patient treatment plans to decrease hypoglycemic events. This article will review the process of creating both a paper and electronic hypoglycemia audit tool and the results of its implementation.
A Genetic Strategy to Measure Circulating Drosophila Insulin Reveals Genes Regulating Insulin Production and Secretion

Insulin is a major regulator of metabolism in metazoans, including the fruit fly Drosophila melanogaster. Genome-wide association studies (GWAS) suggest a genetic basis for reductions of both insulin sensitivity and insulin secretion, phenotypes commonly observed in humans with type 2 diabetes mellitus (T2DM). To identify molecular functions of genes linked to T2DM risk, we developed a genetic tool to measure insulin-like peptide 2 (Ilp2) levels in Drosophila, a model organism with superb experimental genetics. Our system permitted sensitive quantification of circulating Ilp2, including measures of Ilp2 dynamics during fasting and re-feeding, and demonstration of adaptive Ilp2 secretion in response to insulin receptor haploinsufficiency. Tissue specific dissection of this reduced insulin signaling phenotype revealed a critical role for insulin signaling in specific peripheral tissues. Knockdown of the Drosophila orthologues of human T2DM risk genes, including GLIS3 and BCL11A, revealed roles of these Drosophila genes in Ilp2 production or secretion. Discovery of Drosophila mechanisms and regulators controlling in vivo insulin dynamics should accelerate functional dissection of diabetes genetics.
Glass transition on long time scales.

Calorimetric measurements of the glass transition are presented for metallic glasses, B 2 O 3 , and organic polymers with cooling and heating rates ranging over more than three orders of magnitude. Fits of the onset temperatures of the glass transition to a Vogel-Fulcher-type equation give divergence temperatures significantly above the values obtained for Vogel-Fulcher fits to the viscosity. The width of the glass transition extrapolates to a sharp step transition at a finite heating and cooling rate, which is close to the range where the data were taken
Green ICT maturity models Towards a general approach

A lot of effort is still required in greening ICT and the use of ICT to green organisations. However, Green ICT initiatives are hard to sustain. In this context, Green ICT maturity models help by providing a benchmarking tool and a roadmap. However, several Green ICT maturity models have been proposed by different researchers over the years with no clear justification. This makes it difficult for companies to choose which Green ICT maturity model to adopt. This research aims at comparing the different Green ICT maturity models. This could help companies manage their Green ICT initiatives in a more sustainable way. It will analyse the evolution of Green ICT maturity models and provide cues for further research in this area.
Evidence for degradation of myofibrillar proteins in lysosomes. Myofibrillar proteins derivatized by intramuscular injection of N-ethylmaleimide are sequestered in lysosomes.

In order to examine the role of muscle lysosomes in degradation of intracellular protein, rat gastrocnemii were labeled in viuo by intramuscular injections of [ethyZ-2-3H~-ethylmaleimide. A rapid loss of radioactivity was observed and is attributed to proteolysis of modified proteins because 2-S-cysteino-(N-ethyl)-succinimide appeared in the urine. Mitochondrial-lysosoma1 fractions prepared from injected muscles contained N-ethylmaleimide-labeled protein, which increased with time after injection to 3-fold by 12 h. Analytical sucrose gradient centrifugation of mitochondrial-lysosomal fractions showed that these labeled proteins are associated with lysosomes. Furthermore, the radioactive proteins are located within lysosomes because partial lysis by sonication resulted in a parallel release of the lysosomal marker enzyme, N-acetyl+D-glucosaminidase, and radioactive peptides. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis indicated that the labeled proteins in the mitochondrial-lysosoma1 fraction have heterogeneous and small molecular weights. Antibody raised to trypsin-treated actomyosin precipitated labeled proteins from mitochondrial-lysosomal fractions and sucrose gradient fractions only after N-ethylmaleimide treatment. Thus, the lysosomes of [ethyZ-2-3H$V-ethylmaleimide-treated muscles are enriched in labeled proteins that are of myofibrillar origin. The detection of these proteins in lysosomes is thought to be due to triggering of degradation as a consequence of the generation of abnormal proteins by N-ethylmaleimide modification.
Innate immune response to Francisella tularensis is mediated by TLR2 and caspase‐1 activation

Francisella tularensis, a gram‐negative, facultative, intracellular bacterium, is the etiologic agent of tularemia and a category A bioterrorism agent. Little is known about the mechanism of pathogenesis of tularemia. In this paper, we describe the interaction of the live vaccine strain of F. tularensis with the innate immune system. We have found that in human and mouse dendritic cells, F. tularensis elicited a powerful inflammatory response, characterized by production of a number of cytokines and chemokines. Using cells derived from TLR2‐deficient mice and in vitro transfection assays, we demonstrated that this response was mediated by TLR2 and did not require the LPS‐binding protein. F. tularensis appeared to activate TLR2/TLR1 and TLR2/TLR6 heterodimers. IL‐1β secretion, a reflection of caspase‐1 activation, was induced by live but not heat‐killed F. tularensis, despite the fact that both forms of the bacterium equally induced the IL‐1β transcript. Our results identified activation of TLR2 and caspase‐1 as the two main cellular pathways responsible for the inflammatory response to F. tularensis.
Transmitter equalizer training based on pilot signal and peak detection

In high-speed communication systems, adaptive equalizers are widely applied to improve signal integrity in both master chip and slave chip. In this paper, a novel architecture with adaptive equalizers applied only in the master chip is proposed for the low-power design through adaptive equalizer trainings. Focused on the transmitter equalizer training, results show that proposed pilot signal/peak detection algorithm can dramatically improve the signal quality with small area and reasonable training time, but it has the limitation in canceling the inter-symbol interference caused by the pre-cursor of the channel.
NR2B Expression in Rat DRG Is Differentially Regulated Following Peripheral Nerve Injuries That Lead to Transient or Sustained Stimuli-Evoked Hypersensitivity

Following injury, primary sensory neurons undergo changes that drive central sensitization and contribute to the maintenance of persistent hypersensitivity. NR2B expression in the dorsal root ganglia (DRG) has not been previously examined in neuropathic pain models. Here, we investigated if changes in NR2B expression within the DRG are associated with hypersensitivities that result from peripheral nerve injuries. This was done by comparing the NR2B expression in the DRG derived from two modalities of the spared nerve injury (SNI) model, since each variant produces different neuropathic pain phenotypes. Using the electronic von Frey to stimulate the spared and non-spared regions of the hindpaws, we demonstrated that sural-SNI animals develop sustained neuropathic pain in both regions while the tibial-SNI animals recover. NR2B expression was measured at Day 23 and Day 86 post-injury. At Day 23 and 86 post-injury, sural-SNI animals display strong hypersensitivity, whereas tibial-SNI animals display 50 and 100% recovery from post-injury-induced hypersensitivity, respectively. In tibial-SNI at Day 86, but not at Day 23 the perinuclear region of the neuronal somata displayed an increase in NR2B protein. This retention of NR2B protein within the perinuclear region, which will render them non-functional, correlates with the recovery observed in tibial-SNI. In sural-SNI at Day 86, DRG displayed an increase in NR2B mRNA which correlates with the development of sustained hypersensitivity in this model. The increase in NR2B mRNA was not associated with an increase in NR2B protein within the neuronal somata. The latter may result from a decrease in kinesin Kif17, since Kif17 mediates NR2B transport to the soma’s plasma membrane. In both SNIs, microglia/macrophages showed a transient increase in NR2B protein detected at Day 23 but not at Day 86, which correlates with the initial post-injury induced hypersensitivity in both SNIs. In tibial-SNI at Day 86, but not at Day 23, satellite glia cells (SGCs) displayed an increase in NR2B protein. This study is the first to characterize of cell-specific changes in NR2B expression within the DRG following peripheral nerve injury. We discuss how the observed NR2B changes in DRG can contribute to the different neuropathic pain phenotypes displayed by each SNI variant.
EFFICACY OF IN-VITRO MATURATION OF BUBALINE OOCYTES IN TCM 199, TCM 199 + PMSG AND FOLLICULAR FLUID.

A total number of 498 ovaries were procured from municipal slaughter house, Hyderabad. The ovaries were subjected to slicing, aspiration and post aspiration slicing in order to retrieve the oocytes. The oocyte retrieval rate was 73.68, 43.61 and 47.91 per cent in slicing, aspiration and post aspiration slicing methods, respectively. The oocyte recovery per ovary was 2.91, 1.53 and 1.89 in slicing, aspiration and post aspiration slicing, respectively. Retrieved oocytes were graded into A, B, C and D based on cellular investment and homogencity. The yield of grade A oocytes were 53.92, 42.57 and 46.72 in slicing, aspiration and post aspiration slicing techniques, respectively. The yield of grade B oocytes was 28.87, 20.92 and 29.10, respectively. The yield of grade C and D oocytes were 15.69 and 9.52; 11.27 and 11.24; and 13.93 and 10.25 in slicing, aspiration and post aspiration slicing methods, respectively. The A, B and C graded oocytes were matured in TCM 199, buffalo follicular fluid (buFF) alone and TCM 199 supplemented with PMSG. Based on the degree of cumulus expansion, the maturation was classified as D0, D1 and D2 cumulus expansion. Significantly higher per cent of grade A and B oocytes attained D2 and D1 degree of cumulus expansion while significantly higher per cent of C grade oocytes retained in D0 degree of cumulus expansion. The per cent of grade A oocytes extruded first polar body was 70.83, 5.55 and 42.50 in PMSG, buFF and TCM 199 media, respectively Higher per cent of oocytes could be harvested by post aspiration and slicing technique and commercially available PMSG could be supplemented to TCM 199 media for invitro-maturation of follicular oocytes.
A translating computer interface for end-user operation of heterogeneous retrieval systems. I. Design

Online retrieval systems may be difficult to use, especially by end users, because of heterogeneity and complexity. Investigations have concerned the concept of a translating computer interface as a means to simplify access to, and operation of, heterogeneous bibliographic retrieval systems and databases. The interface allows users to make requests in a common language. These requests are translated by the interface into the appropriate commands for whatever system is being interrogated. System responses may also be transformed by the interface into a common form before being given to the users. Thus, the network of different systems is made to look like a single “virtual” system to the user. The interface also provides instruction and other search aids for the user. The philosophy, design, and implementation of an experimental interface named CONIT are described.
Design and Implementation for 3-DoF SCARA Robot based PLC

This paper presents mechanical and electrical design, and implementation process of industrial robot, 3-DoF type SCARA (selective compliment assembly robot arm),with two rotations and one translation used for welding applications.The design process also included the controller design which was based on PLC(programmable logic controller) as well as selection of mechanical and electrical components.The challenge was to use the available components in Iraq with reasonable costs. The robot mentioned is fully automated using programmable logic controller PLC(Zelio type SR3-B261BD),with 16inputs and 10 outputs. The PLC was implemented in FBD logic to obtain three different automatic motions with high efficiency withouterror,where the two links can stop in a certain points and link 3 bushed down for doing the task in a desired trajectory motion by programming the PLCcontroller.
On the Implementation and E ectivenessof Autoscheduling Jos

Autoscheduling is a scheduling methodology that provides eecient support for multiprocessing and multiprogramming in multiprocessors by exploiting parallelism at diierent levels of granularity. Autoscheduling operates on the hierarchical task graph (HTG), an intermediate program representation that encapsulates the information on control and data dependences at all levels. In this paper we discuss the fundamentals of autoscheduling and describe how the HTG can be used by an au-toscheduling compiler to generate object code that exploits the parallelism present in the program. We also discuss several implementations issues for autoscheduling in shared memory processors. Validation and performance measurements of the autoscheduled code are accomplished by means of an instruction-level multiprocessor simulator. Our results show that autoscheduling can achieve high levels of eeciency on a multiprocessor and enables the exploitation of additional parallelism in a program, resulting in better speedups.
Role of integrons, plasmids and SXT elements in multidrug resistance of Vibrio cholerae and Providencia vermicola obtained from a clinical isolate of diarrhea

The isolates of Vibrio cholerae and Providencia vermicola obtained from a diarrheal patient were investigated for genetic elements governing their drug resistance phenotypes. Out of 14 antibiotics tested, V. cholerae Vc IDH02365 isolate showed resistance to nine antibiotics, while P. vermicola Pv NBA2365 was found to be resistant to all the antibiotics except polymyxin B. Though SXT integrase was depicted in both the bacteria, class 1 integron was found to be associated only with Pv NBA2365. Integrons in Pv NBA2365 conferred resistance to β-lactams, aminoglycosides, and trimethoprim. Pv NBA2365 carried two transformable plasmids imparting distinct antibiotic resistance traits to their Escherichia coli transformants. In rabbit ileal loop assays, Pv NBA2365 did not show any fluid accumulation (FA) in contrast with Vc IDH02365 that showed high FA. To the best of our knowledge, this is the first report of a highly drug resistant P. vermicola and additionally co-existence of multidrug resistant V. cholerae and P. vermicola. Both the microbes appeared to possess a wide array of mobile genetic elements for a large spectrum of antimicrobial agents, some of which are being used in the treatment of acute diarrhea.
Ağrı İlinde Sığırlarda Ayak Hastalıkları Prevalansının Belirlenmesi

Bu calisma; Agri ilinde sigirlarda gorulen ayak hastaliklarinin prevalansinin belirlenmesi amaciyla yapildi. Arastirma farkli irk, yas ve cinsiyette toplam 1486 sigir uzerinde yurutuldu. Arastirmadaki hayvanlarin irklara gore dagilimi %34.66 (515 olgu)’si Montofon, %30.96 (460 olgu)’si Simental, %24.02 (357 olgu)’si yerli irk, %10.36 (154 olgu)’si melez sigirlardi. Olgularin cinsiyete gore dagilimi ise %84.45 (1255 olgu)’i disi, %15.55 (231 olgu)’i erkekti. 1486 sigirdan 280 sigirda ayak hastaligi tespit edildi. Tespit edilen hastaliklarin %29.45 (48 olgu)’i interdigital dermatitis, %23.31 (38 olgu)’i digital dermatitis, %16.57 (27 olgu)’si interdigital hiperplazi, %15.95 (26 olgu)’i okce curugu, %6.75 (11 olgu)’i tirnak catlagi, %3.68 (6 olgu)’i interdigital flegmon, %2.45 (4 olgu)’i taban ulseri ve %1.84 (3 olgu)’u beyaz cizgi hastaligi olusturdu. Hastalik tespit edilen olgularin %54.29 (152 olgu)’unda tirnak deformasyonu ile birlikte lezyon gorulurken %3.92 (11 olgu)’sinde sadece lezyon, %41.79 (117 olgu)’un da da sadece tirnak deformasyonu saptandi. Topallik %2.14 oraninda sag on ayakta, %4.29 oraninda sol on ayak, %47.86 oraninda sag arka ayak, %45.71 oraninda sol arka ayakta gorulmustur. Arka ayaklardaki lezyonlarin daha cok lateral (%55.73), on ayakta ise daha cok medial tirnaklarda (%61.11) yerlestigi saptanmistir. Bu arastirmanin sonuclarina gore 2016-2017 yillari arasinda Agri ilinde sigirlarda ayak hastaliklarinin yillik prevalansi %18.84 olarak belirlenmistir.
Parametric modeling and estimation of time-varying spectra

Research in spectrum estimation has increasingly shifted toward studies of nonstationary random signals or noisy signals with time-varying parameters. One Bayesian approach to this problem corresponds to finding the minimum mean square error estimate of the theoretical spectrum, which is the expected value of the theoretical spectrum over the joint posterior density function of the unknown parameters. ln this paper we present an approach of estimating the time-varying spectra, where the signal is modeled as a superposition of chirps with Gaussian envelopes and the applied methodology is Markov chain Monte Carlo sampling.
4D Seismic History Matching Incorporating Unsupervised Learning

The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techniques. A new integrated scheme for the reconstruction of petrophysical properties with a modified Ensemble Smoother with Multiple Data Assimilation (ES-MDA) in a synthetic reservoir is proposed. The permeability field inside the reservoir is parametrised with an unsupervised learning approach, namely K-means with Singular Value Decomposition (K-SVD). This is combined with the Orthogonal Matching Pursuit (OMP) technique which is very typical for sparsity promoting regularisation schemes. Moreover, seismic attributes, in particular, acoustic impedance, are parametrised with the Discrete Cosine Transform (DCT). This novel combination of techniques from machine learning, sparsity regularisation, seismic imaging and history matching aims to address the ill-posedness of the inversion of historical production data efficiently using ES-MDA. In the numerical experiments provided, I demonstrate that these sparse representations of the petrophysical properties and the seismic attributes enables to obtain better production data matches to the true production data and to quantify the propagating waterfront better compared to more traditional methods that do not use comparable parametrisation techniques.
Handling scheduling uncertainties through traffic shaping in Time-Triggered train networks

While trains traditionally relied on field bus to support real-time control applications, next-generation trains are moving toward Ethernet as an integrated, high-bandwidth communication infrastructure for real-time control and best-effort consumer traffic. Time-Triggered Ethernet (TT-Ethernet) is a promising technology for train networks because of its capability to achieve deterministic latencies for real-time applications based on pre-computed transmission schedules. However, the deterministic scheduling approach of TT-Ethernet faces significant challenges in handling scheduling uncertainties caused by switch failures and legacy end devices in train networks. Due to the physical constraints on trains, train networks deal with switch failures by bypassing failed switches using a short circuiting mechanism. Unfortunately, this mechanism incurs scheduling errors as frames bypassing the failed switch may arrive ahead of the pre-computed schedule, resulting in early, unexpected, and out of order arrivals. Furthermore, as trains evolve from traditional communication technologies to TT-Ethernet, the network must support legacy end devices that may generate frames at times unknown to the TT-Ethernet. We propose a novel traffic shaping approach to deal with scheduling uncertainties in TT-Ethernet. The traffic shaper of a TT-Ethernet switch buffers early frames and then releases them at their pre-scheduled arrive time. Furthermore, we devise an efficient buffer management method for the traffic shaper in face of fault scenarios. Finally, we use the traffic shaper to integrate legacy devices into TT-Ethernet. We have implemented the traffic shaping approach in a 24-port TT-Ethernet switch specifically designed for train networks. Experiments show the traffic shaping strategy can effectively deal with scheduling uncertainties incurred by switch failures and legacy devices.
AUSTRALIA DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS The DOGEV Model

At present, there appears to be no qualitative dependent model that can simultaneously account for data sets in which the variable of interest is potentially ordered but also has strong heterogeneity of the observed outcomes. This heterogeneity of particular outcomes, inherently attracts individuals to them, in addition to that determined by the individual’s observed characteristics. An example of such unobserved heterogeneity would be brand-loyalty (or “captivity”) in a model of consumer choice. Such heterogeneity of the outcomes, may well result in a pronounced multi-modal distribution of the variable of interest. This paper introduces the Dogit Ordered Generalized Extreme Value (DOGEV) model, which does account for both ordering and captivity (and/or multiple modes) in the data. In the spirit of Manski (1977), the DOGEV model combines a model for choice set generation with the Ordered Generalized Extreme Value model. We illustrate the model using three different empirical examples: a model of employment contract types; an inflationary expectations data set and; a survey of students’ evaluations of teaching. These three examples are chosen as they represent different values that the additional ancillary parameters are likely to take in practice.
Application of Bio-inspired Formation Flight Control to Two Fixed Wing Airplanes

—Formation flight control is an effective method for small unmanned air vehicles (UAVs) to improve the limited performance of an individual UAV in a powerful aggregated system as a group. In this study, formation flight control with two fixed wing airplanes as examples of UAVs were investigated based on the collective motion of organisms where simple local interactions, such as, attraction, repulsion, and parallel orientation, form an orderly motion. A control system for the aforementioned interactions was developed using a microcomputer, motion sensor, direction sensor, GPS, and communication devices and was implemented on two fixed wing type airplanes. Flight tests were conducted for the attraction-repulsion and the parallel orientation controls, and the cooperated flight of two fixed wing airplanes was successfully accomplished, indicating the feasibility of the bio-inspired formation flight control.