Miracle-dz/UniFAR-FTUs huggingface dataset:
International Conference on Control and Automation ThB 9-4 Guangzhou , CHINA-May 30 to June 1 , 2007 LCC-Rwgh : A NLOS Error Mitigation Algorithm for Localization in Wireless Sensor Network

Non-Line-of-Sight (NLOS) errors have been considered as a killer issue for the multihop wireless sensor network (WSN) localization. Although there are some techniques that can be used to mitigate this kind of errors, they are not quite suitable for sensor networks because of the intensive computation, big amount of communication or the demand for prior information on LOS-NLOS channel conditions. In this paper, we propose a novel Lower-Computational-Cost Residual weighting algorithm (LCC-Rwgh), which can mitigate the NLOS errors when the range measurements contaminated by NLOS errors are not identifiable and reduce the amount of communication. The algorithm is compared with three other generic algorithms. The computational complexity of the algorithms is compared analytically and the performance of the algorithms is test by simulation under various scenarios and NLOS error models. The new algorithm has shown the improvement of location accuracy when the number of NLOS errors is small and the lower computational cost than the conventional residual weighting algorithm. Keywords-WSN; Localization; TOA; LCC-Rwgh
Quantifying exosome secretion from single cells reveals a modulatory role for GPCR signaling

Current techniques to study exosome physiology are based on isolation procedures after secretion, precluding direct and dynamic insight into the me-chanics of exosome biogenesis and the regulation of their release. In this study, we propose real-time visualization of MVB–PM fusion to overcome these limitations. We designed tetraspanin-based pH-sensitive optical reporters that detect MVB–PM fusion using live total internal reflection fluorescence and dynamic correlative light–electron microscopy. Quantitative analysis demonstrates that MVB–PM fusion frequency is reduced by depleting the target membrane SNA REs SNAP23 and syntaxin-4 but also can be induced in single cells by stimulation of the histamine H1 receptor (H1HR). In-terestingly, activation of H1R1 in HeLa cells increases Ser110 phosphorylation of SNAP23, promoting MVB–PM fusion and the release of CD63-enriched exosomes. Using this single-cell resolution approach, we highlight the modulatory dynamics of MVB exocytosis that will help to increase our understanding of exosome physiology and identify druggable targets in exosome-associated pathologies.
Effects of Cancer Drugs and Their Metabolism in Our Body

Cancer is a genetic disorder that results from genetic or epigenetic alterations in the somatic cells and has abnormal cell growth which may be spread to other body parts. In 2018, 18 million cancer was recorded globally in which 9.5 million cancer cases in men, 8.5 million cases in women, and 9.6 deaths were also recorded in the same year. The most spreading cancer globally is prostate, breast, lung stomach, colorectal cancer, non-melanoma skin malignancies but there are 100 types of cancers that affect humans. The impact of cancer is increasing significantly day by day. Tobacco is 22% responsible for causing cancer, 15% cancer is caused due some infections like HIV, hepatitis b, Epstein-Barretc, and 10% is due to poor diet, obesity, excessive consumption of alcohol, exposure to ionizing radiation, etc. In this review article, we try to shed a light on various cancer-causing factors, type of cancer, how the cancer starts, sign or symptom of cancer, diagnosing tests, the treatments of cancer and problems related to cancer treatments. Nowadays, a lot of research is going on precision medicine for a better future of cancer treatments. The common therapies are given to patient’s chemotherapy, radiation therapy, immunotherapy, surgery and hormone therapy and combinations of these therapies. Stem cell transplant is also the best therapy for cancer but it given after the common therapies to recover the patient from blood loss and help in making the patient healthy
Boosting RRAM-Based Mixed-Signal Accelerators in FD-SOI Technology for ML Applications

This article presents the flipped (F)-2T2R resistive random access memory (RRAM) compute cell enhancing the performance of RRAM-based mixed-signal accelerators for deep neural networks (DNNs) in machine-learning (ML) applications. The F-2T2R cell is designed to exploit the features of the FD-SOI technology and it achieves a large increase in cell output impedance, compared to the standard 1-transistor 1-resistor (1T1R) cell. The article also describes the modeling of an F-2T2R-based accelerator and its transistor-level implementation in a 22-nm FD-SOI technology. The modeling results and the accelerator performance are validated by simulation. The proposed design can achieve an energy efficiency of up to 1260 1 bit-TOPS/W, with a memory array of 256 rows and columns. From the results of our analytical framework, a ResNet18, mapped on the accelerator, can obtain an accuracy reduction below 2%, with respect to the floating-point baseline, on the CIFAR-10 dataset.
Resource mobilization and effective utilization for actualizing community development projects in Nigeria

This paper examines the resources mobilization and effective utilization for actualizing community development projects in Nigeria. Concepts of resource mobilization for community development project were discusses from different perspectives. Resource mobilization is just a means to the end, the end being the fulfillment of the organization’s vision. Resource mobilization is a team effort, and involves the institution’s commitment to resource mobilization; acceptance for the need to raise resources; and institutionalizing resource mobilization priorities, policies and budget allocation. Problems associated with resource mobilization for community development were discussed. The paper also examines programme implementation for community development projects which identified among others, finding able and willing local leaders, setting up committees and identifying organizations. The paper further discusses participation as one of the basis of community development projects because without participation from the concerns members work or project will not be fully conducted. Various aspect of participation was discussed which include, active participation and functional participation among others. The paper also looks into community development projects evaluation process which centrally discusses empowerment evaluation in which it gives members of community the ability to check and analyze how resources are being utilize for the projects intended for. Conclusion was drawn and way forward were suggested some among others are,
Differential expression of CCN family members CYR611, CTGF and NOV in gastric cancer and their association with disease progression

CCN is an acronym for cysteine-rich protein 61 (CYR61), connective tissue growth factor (CTGF) and nephroblastoma overexpressed (NOV). Aberrations of certain CCN members including CYR61, CTGF, Wnt1-inducible signalling pathway protein (WISP)-1 and -3 have been reported in gastric cancer. The present study aimed to examine the clinical relevance of NOV along with CYR61 and CTGF in gastric cancer by analysing their transcript levels. CYR61, CTGF and NOV transcript expression in 324 gastric cancer samples with paired adjacent normal gastric tissues were determined using real-time quantitative PCR and the results were statistically analysed against patient clinicopathological data using SPSS software. NOV mRNA levels in gastric cancer tissues were significantly elevated when compared with levels in their paired adjacent non-cancerous tissues. Local advanced tumours with invasive expansion (T3 and T4) expressed higher levels of NOV (p=0.013) compared with the less invasive tumours (T1 and T2). CYR61 transcript levels were also significantly increased in gastric cancers compared with levels in the adjacent non-cancerous tissues. Kaplan-Meier survival curves revealed that patients with CYR61-low transcript levels had longer overall survival (OS) (p=0.018) and disease-free survival (DFS) (p=0.015). NOV overexpression promoted the in vitro proliferation of AGS cells while the knockdown resulted in a reduced proliferation of HGC27 cells. A similar effect was observed for the invasion of these two gastric cancer cell lines. NOV expression was increased in gastric cancer which was associated with local invasion and distant metastases. Taken together, the expression of NOV and CYR61 was increased in gastric cancer. The elevated expression of CYR61 was associated with poorer survival. NOV promoted proliferation and invasion of gastric cancer cells. Further investigations may highlight their predictive and therapeutic potential in gastric cancer.
Synthesis and Structural Studies of a New Complex of Di[hexabromobismuthate (III)] 2,5-Propylaminepyrazinium [C10H28N4]Bi2Br10

A new organic-inorganic hybrid material, [C10H28N4]Bi2Br10, has been synthesized and characterized. The compound crystallizes in monoclinic P21/c space group with a = 11.410(4) A, b = 11.284(4) A, c = 12.599(3) A, β = 115.93(2)°, and V = 1458.8(8) A3. The structure consists of discrete dinuclear [Bi2Br10]4− anions and [C10H28N4]4
Comparative Effectiveness Review Number 210 Breastfeeding Programs and Policies , Breastfeeding Uptake , and Maternal Health Outcomes in Developed Countries Evidence Summary

In reproductive physiology, lactation follows pregnancy; a growing body of evidence supports the association between breastfeeding and better health outcomes for both infants and mothers. A 2007 Agency for Healthcare Research and Quality (AHRQ) review by Ip and colleagues concluded that breastfeeding was associated with reduced maternal type 2 diabetes, breast cancer and ovarian cancer, but not fractures. For other outcomes (e.g., postpartum depression), the authors concluded that the relationship between breastfeeding and maternal health was unclear. Since 2007, several new studies have reported on maternal outcomes not addressed in the 2007 AHRQ review, including hypertension, rates of myocardial infarction, and other cardiovascular outcomes.
A 28 GHz Power Amplifier Based on Broadband Adaptive Linearization Technique in 65-nm CMOS

A 28 GHz linear power amplifier (PA) for $5\mathrm{G}$ multiband application is proposed in this paper. Based on the proposed broadband adaptive linearization technique, properly designed inter-stage power splitting network, and output power combining network, the P A has broadband linearization performance improvement and high power-added efficiency (P AE) within the operating frequency band. The proposed PA is implemented in 65-nm CMOS process and exhibits a 3-dB bandwidth of S21 from 21.5 to 33 GHz, covering n257/n258/n261 bands. The PA shows maximum power gain of 23.3 dB with output 1-dB compression point $(\mathbf{P}_{1\text{dB}})$, saturation output power $(\mathbf{P}_{\text{sat}})$, and peak P AE of 24.2 $\text{dBm},\ 24.9\ \text{dBm}$, and 31.8% at 28 GHz, respectively. The 1-dB bandwidth of $\mathrm{P}_{1\text{dB}}$ is from 21.8 to 35.2 GHz with corresponding PAE exceeding 22%.
Finite Frequency Filter Design for T-S Fuzzy Continuous Systems

This paper deals with the problem of finite frequency (FF) H∞ filter for nonlinear continuous-time systems in the Takagi-Sugeno (T-S) fuzzy model. The objective is to propose a new design sufficient condition via linear matrix Inequality (LMIs) formulations, ensuring that the filtering error system is stable and has a minimized H∞ performance when frequency ranges of noises are known beforehand. Less conservative results are obtained by using the generalized Kalman-Yakubovich-Popov (gKYP) lemma, Finsler’s lemma and some independent matrices. An example about a tunnel diode circuit is given to illustrate the effectiveness and the less conservatism of the proposed approach in comparison with the existing methods.
Extraction of Vegetation Biophysical Structure from Small-Footprint Full-Waveform Lidar Signals

The National Ecological Observatory Network (NEON) is a continental scale environmental monitoring initiative tasked with characterizing and understanding ecological phenomenology over a 30-year time frame. To support this mission, NEON collects ground truth measurements, such as organism counts and characterization, carbon flux measurements, etc. To spatially upscale these plot-based measurements, NEON developed an airborne observation platform (AOP), with a high-resolution visible camera, next-generation AVIRIS imaging spectrometer, and a discrete and waveform digitizing light detection and ranging (lidar) system. While visible imaging, imaging spectroscopy, and discrete lidar are relatively mature technologies, our understanding of and associated algorithm development for small-footprint full-waveform lidar are still in early stages of development. This work has as its primary aim to extend small-footprint full-waveform lidar capabilities to assess vegetation biophysical structure. In order to fully exploit waveform lidar capabilities, high fidelity geometric and radiometric truth data are needed. Forests are structurally and spectrally complex, which makes collecting the necessary truth challenging, if not impossible. We utilize the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model, which provides an environment for radiometric simulations, in order to simulate waveform lidar signals. The first step of this research was to build a virtual forest stand based on Harvard Forest inventory data. This scene was used to assess the level of geometric fidelity necessary for small-footprint waveform lidar simulation in broadleaf forests. It was found that leaves have the largest influence on the backscattered signal and that there is little contribution to the signal from the leaf stems and twigs. From this knowledge, a number of additional realistic and abstract virtual “forest” scenes were created to aid studies assessing the ability of waveform lidar systems to extract biophysical phenomenology. We developed an additive model, based on these scenes, for correcting the attenuation in backscattered signal caused by the canopy. The attenuation-corrected waveform, when coupled with estimates of the leaf-level reflectance, provides a measure of the complex within-canopy forest structure. This work has implications for our improved understanding of complex waveform lidar signals in
Puke or poop? Comparison of regurgitate and faecal samples to infer alpine grasshopper (Paprides nitidus Hutton) diet in experimental plant communities

Abstract Characterising plant‐herbivore interactions is important to understanding the processes that influence community structure and ecosystem functioning. Traditional methods used to identify plant‐herbivore interactions are being superseded by non‐destructive molecular approaches that can infer interactions with greater resolution and accuracy from environmental DNA (e.g. faeces and regurgitate). However, few studies have compared the success of using different sample types and whether they provide similar or contrasting information about species' diet. Here we compared the success of DNA amplification and host plant species identification using restriction fragment length polymorphism (RFLP) applied to faecal and regurgitate samples collected from alpine grasshoppers Paprides nitidus Hutton during a grassland community mesocosm experiment. We found that DNA amplification success was 23% and 86% higher for faecal than regurgitate samples from female and male grasshoppers, respectively. In contrast, successful host plant identification using RFLP was 9% higher for regurgitate than faecal samples. The mean number of host plant species identified per sample (1.40) did not differ between sample types or grasshopper sexes. Of the 136 paired faecal‐regurgitate samples, just 41% and 74% produced exactly or partially matching host plant identifications, respectively, indicating that different sample types provided complementary information about herbivore diet. Some plant species were more likely to be identified from faecal samples than expected by chance, and we found that this identification bias skewed towards plant species with higher investment in leaf tissue. We conclude that multiple sample types may be required to fully characterise an invertebrate herbivore species' diet.
Differential Drug Survival of Second-Line Biologic Therapies in Patients with Psoriasis : Observational Cohort Study from the British Association of Dermatologists Biologic Interventions Register ( BADBIR ) 74 75 76

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Intrinsic electronic structure and nodeless superconducting gap of YBa2Cu3O7–δ observed by spatially-resolved laser-based angle resolved photoemission spectroscopy

The spatially-resolved laser-based high-resolution angle resolved photoemission spectroscopy (ARPES) measurements have been performed on the optimally-doped YBa2Cu3O7–δ (Y123) superconductor. For the first time, we found the region from the cleaved surface that reveals clear bulk electronic properties. The intrinsic Fermi surface and band structures of Y123 were observed. The Fermi surface-dependent and momentum-dependent superconducting gap was determined which is nodeless and consistent with the d+is gap form.
Dynamics of turbulent western boundary currents at low latitudes, a numerical study

Strong western boundary currents are one of dominant features of the world oceans, also at low latitudes. They exhibit a turbulent dynamics and their region is a source of strong kinetic energy production and internal variability of the worlds oceans. Several places exists where the western boundary currents retrofect (i.e separation from the coast) and generate coherent structures as anticyclonic eddies, bursts and dipoles. The dynamics of turbulent western boundary currents has so far not been extensively studied in the viewpoint of turbulent boundary-layer theory. The approach followed in this thesis is to use a fine resolution (2.5km) reduced-gravity shallow water model to understand the turbulent boundary-layer processes and then apply these findings to the Ocean General Circulation Model NEMO in the Drakkar configuration (~10km). The case of the Somali Currentis considered for this application.
Oxalate (dys)Metabolism: Person-to-Person Variability, Kidney and Cardiometabolic Toxicity

Oxalate is a metabolic end-product whose systemic concentrations are highly variable among individuals. Genetic (primary hyperoxaluria) and non-genetic (e.g., diet, microbiota, renal and metabolic disease) reasons underlie elevated plasma concentrations and tissue accumulation of oxalate, which is toxic to the body. A classic example is the triad of primary hyperoxaluria, nephrolithiasis, and kidney injury. Lessons learned from this example suggest further investigation of other putative factors associated with oxalate dysmetabolism, namely the identification of precursors (glyoxylate, aromatic amino acids, glyoxal and vitamin C), the regulation of the endogenous pathways that produce oxalate, or the microbiota’s contribution to oxalate systemic availability. The association between secondary nephrolithiasis and cardiovascular and metabolic diseases (hypertension, type 2 diabetes, and obesity) inspired the authors to perform this comprehensive review about oxalate dysmetabolism and its relation to cardiometabolic toxicity. This perspective may offer something substantial that helps advance understanding of effective management and draws attention to the novel class of treatments available in clinical practice.
The ABC of ABC-transport in the hyperthermophilic archaeon Pyrococcus furiosus

Living organisms of our earth can be divided into two groups, the prokaryotes and the eukaryotes. Eukaryotic cells have a nucleus, a special compartment in the cell, where the genetic material, the DNA is located. The DNA in the prokaryotic cell is floating freely in the cell. The eukaryotes, that is where we belong to, together with animals, plants and fungi. Bacteria and archaea belong to the prokaryotes. Archaea resemble bacteria but in certain features they resemble more the eukaryotes. That is the reason why they form a distinct group within the prokaryotes. Zie: Summary
A new distance measure based on the weighted induced method and its application to Pythagorean fuzzy multiple attribute group decision making

This paper investigates a novel induced ordered weighted averaging (IOWA) distance operator and its application in Pythagorean fuzzy (PF) multiattribute group decision making (MAGDM). First, a new induced aggregated distance operator named the weighted IOWA distance (WIOWAD) operator is developed, which differs from the existing methods in that it considers the dual roles of the order‐inducing variables at the same time. In other words, in addition to inducing the order of the arguments, the order‐inducing variables of the WIOWAD operator also plays an important role in moderating the associated weight vector. Some useful properties and different families of the WIOWAD are also discussed. Then, an extension of the WIOWAD within the PF situation is presented, thus obtaining the PFWIOWAD operator. Furthermore, a MAGDM method based on the PFWIOWAD is introduced. Finally, the practicality and effectiveness of proposed approach are illustrated in a research and development project selection problem.
High-level overexpression of the Arabidopsis HsfA 2 gene confers not only increased themotolerance but also salt / osmotic stress tolerance and enhanced callus growth

Heat shock transcription factors (Hsfs) are the central regulators of the heat shock (HS) stress response in all eukaryotic organisms. HsfA2 is one of the Arabidopsis class A Hsfs, and the induction of HsfA2 expression in response to HS stress is highest among all 21 Arabidopsis Hsfs. In this study, it is reported that basal and acquired thermotolerance was significantly enhanced in high-level HsfA2-overexpressed transgenic lines (El2V::HsfA2) in comparison with wild-type plants. By contrast, the dominant negative mutants of HsfA2 (El2V::HsfA2DC264) plants displayed reduced thermotolerance. These results indicate that the HsfA2 gene plays a role in the HS stress response. Microarray analysis of the El2V::HsfA2 plants identified putative target genes, which included HS stressinducible genes and other stress-responsive genes. Salt and osmotic stress induced HsfA2 gene expression. In fact, the El2V::HsfA2 plants showed enhanced tolerance to these stresses, suggesting that HsfA2 was involved in multiple stress tolerance. El2V::HsfA2 plants showed accelerated callus growth from root explants compared with the wild type, unlike the El2V::HsfA2DC264 plants whose growth was delayed. These observations suggest that HsfA2 plays, in addition to its role in stress tolerance, an important role in cell proliferation.