Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of an Automatic Measurement Method for CD8 and PD-1 Positive T Cells Using Image Analysis Software

Background/Aim: With the progress in cancer immunotherapy using immune checkpoint blockade (ICB) therapy, histological observations of tumor-infiltrating lymphocyte (TIL) status are needed to evaluate the antitumor effect of ICB using imaging analysis software. Materials and Methods: Formalin-fixed paraffin-embedded sections obtained from colorectal cancer and gastric cancer patients with more than 500 single nucleotide variants were stained with anti-CD8 and anti-PD-1 antibodies. Based on our own algorithm and imaging analysis software, an automatic TIL measurement method was established and compared to the manual counting methods. Results: In the CD8+ T cell number measurement, there was a good correlation (r=0.738 by Pearson test) between the manual and automated counting methods. However, in the PD-1+ T cell measurement, there was a large difference in TIL numbers in both groups. After adjustment of the parameter settings, the correlation between the manual and automated methods in the PD-1+ T cell measurements improved (r=0.668 by Pearson test). Conclusion: An imaging software-based automatic measurement could be a simple and useful tool for evaluating the therapeutic effect of cancer immunotherapies in terms of TIL status.
CO2 Ladar Modulation Trade-Off Studies

A model has been developed for calculating the CO2 ladar heterodyne mixing current for an arbitrary modulation format. Six specific techniques are considered including amplitude (AM/CW), suppressed-carrier amplitude (AM/SC), phase (PM/CW), linear frequency (FM/CW), hybrid linear frequency/suppressed-carrier amplitude (FM/SC), and short pulse (PULSE) modulation. Detailed models of the different modulators and demodulator concepts are included in the analysis. Laser efficiency, signal bandwidth, detection rate, and sensitivity to speckle effects (especially phase jitter) are discussed as they affect range measurement precision and accuracy. Theoretical and preliminary experimental results indicate that a PM/CW ladar has a 3-6 dB advantage in signal-to-noise ratio over the AM-based formats. The results also indicate improved performance for a PULSE ladar compared with CW ladars if sufficient transmitter efficiencies can be achieved, and that the FM/CW and FM/SC formats are relatively unsuited for high-precision or high-accuracy range imaging.
Crime Detection using Voice Behavior on the Basis of Collected Evidence

Human intelligence is the key to stoppin g terrorism, and therefore it isessential to know when the inform ation obtained is false. This article briefly outlinesthe research on voice clueto find fraud, cheating and other crime.Voice analysis technology is most power full to find pattern of voi ce during the human behavior changes when he or she is true or lying. Voice pattern which is retrieve from database and relate wi th current situation. System is accommodating to detect decept ion.
Integrated Impact Assessment: UK Mapping Project

There are many forms of impact assessment, which may be used at regional and local level to assess the possible impact of proposed policies, programmes and projects. These may cover a range of issues, for example, economic, environmental, sustainability, equal opportunities, human health, quality of life and public expenditure. These different forms of impact assessment often seek to address overlapping areas of concern and frequently ask the same questions. The Department of Health, acting on behalf of the Whitehall Inter-Departmental group on Health Impact Assessment, commissioned Northumbria University to undertake a project to map out examples of where organisations have attempted to integrate these different forms of assessment into a single assessment process. Integrating different forms of impact assessment may reduce duplication of effort and make such assessments more user-friendly.
Skin carotenoid content is associated with speed of processing in cognitively normal older adults

Brain and retinal carotenoid content have been linked to cognitive function in older adults. Although skin carotenoid is correlated with retinal content, the relationship of skin carotenoid and cognition in older adults is unknown. Measurement of skin carotenoid is non‐invasive, quick, and easy to obtain. The purpose of this study was to evaluate the relationship between skin carotenoid concentration and cognitive performance in a population of cognitively normal, older adults.
Reverse auction-based job assignment among foundry fabs

Motivated by foundry service provisioning in the semiconductor industry, this paper adopts a reverse auction-based mechanism to model job order assignment from a job owner (auctioneers) to a few qualified and competing foundry fabs (bidders). A job order owner announces job requirements and payments for fabs to bid on while qualified fabs bid on a job by offering the discount to payment and processing schedule of the job. This model aims at capturing the non-cooperative gaming among the job owner and the fabs because of the private information such as objectives, valuation of jobs, available capacity and constraints. Two integer-programming formulations are formulated for the reverse auction of job assignment; one is deterministic and models a common practice of mean value-based bidder decision-making while the other is stochastic and captures bidders’ consideration of uncertainties and the associated risk in decision-making. A Lagrange relaxation-based, near-optimal scheduling method is developed to model a bidder's selection of job-to-bid and schedule for the deterministic formulation. The bidder's job selection and scheduling model for the stochastic formulation combines simulation and simple heuristics. A bidder decides the discount offer for each job-to-bid by a simple fixed-increment scheme. The auctioneer simply assigns the job to the bid with the highest discount offer in each round of bidding. Analyses show that the reverse auction model leads to an equilibrium solution, where no single bidder would unilaterally deviate from the auction result. Numerical study by using the reverse auction model demonstrates that consideration of uncertainties in bidders’ decisions has a larger impact on performance of both bidders and the auctioneer than optimality of the mean value-based bidder scheduling algorithm.
Ultrathin body SiGe-on-insulator pMOSFETs with high-mobility SiGe surface channels

A novel concept and a fabrication technique of strained SiGe-on-insulator (SGOI) pMOSFET are proposed and demonstrated. This device has an ultrathin strained SiGe channel layer, which is directly sandwiched by gate oxide and buried oxide layers. The mobility enhancement of 2.3 times higher than the universal mobility of conventional universal Si pMOSFETs was obtained for a pMOSFET with 19-nm-thick Si/sub 0.58/Ge/sub 0.42/ channel layer, which is formed by high-temperature oxidation of a Si/sub 0.9/Ge/sub 0.1/ layer grown on a Si-on-insulator (SOI) substrate. A fully depleted SGOI MOSFET with this simple single-layer body structure is promising for scaled SOI p-MOSFET with high current drive.
Training to Teach Experimentation with a Metrological Physics bias

We present how a virtual learning environment that specifies contents, objectives and metrological concepts, can provide in-service training to new teachers sharing the course with the authors. Specifically, the virtual environment gives them the opportunity to get acquainted in advance with the course material, decreases his or her anxiety with some parts and topics of the course, helps them to participate more fully in it and to tackle the course in a collaborative spirit which helps students to positively assume their own team work in the lab.
Improving Early Recognition of Creutzfeldt-Jakob Disease Mimics

Background and Objectives Diagnostic criteria emphasize the use of sensitive and disease-specific tests to distinguish patients with rapidly progressive dementia (RPD) due to Creutzfeldt-Jakob disease (CJD) vs other causes (mimics). These tests are often performed in specialized centers, with results taking days to return. There is a need to leverage clinical features and rapidly reporting tests to distinguish patients with RPD due to CJD from those due to other causes (mimics) early in the symptomatic course. Methods In this case-control series, clinical features and the results of diagnostic tests were compared between mimics (n = 11) and patients with definite (pathologically proven, n = 33) or probable CJD (with positive real-time quaking-induced conversion [RT-QuIC], n = 60). Patients were assessed at Mayo Clinic Enterprise or Washington University from January 2014 to February 2021. Mimics were enrolled in prospective studies of RPD; mimics met the diagnostic criteria for probable CJD but did not have CJD. Results Mimics were ultimately diagnosed with autoimmune encephalitis (n = 6), neurosarcoidosis, frontotemporal lobar degeneration with motor neuron disease, dural arteriovenous fistula, cerebral amyloid angiopathy with related inflammation, and systemic lupus erythematous with polypharmacy. Age at symptom onset, sex, presenting features, and MRI and EEG findings were similar in CJD cases and mimics. Focal motor abnormalities (49/93, 11/11), CSF leukocytosis (4/92, 5/11), and protein >45 mg/dL (39/92, 10/11) were more common in mimics (p < 0.01). Positive RT-QuIC (77/80, 0/9) and total tau >1149 pg/mL (74/82, 2/10) were more common in CJD cases (all p < 0.01). Protein 14-3-3 was elevated in 64/89 CJD cases and 4/10 mimics (p = 0.067). Neural-specific autoantibodies associated with autoimmune encephalitis were detected within the serum (5/9) and CSF (5/10) of mimics; nonspecific antibodies were detected within the serum of 9/71 CJD cases. Discussion Immune-mediated, vascular, granulomatous, and neurodegenerative diseases may mimic CJD at presentation and should be considered in patients with early motor dysfunction and abnormal CSF studies. The detection of atypical features—particularly elevations in CSF leukocytes and protein—should prompt evaluation for mimics and consideration of empiric treatment while waiting for the results of more specific tests.
Measurement Considerations on Some Parameters of Supercapacitors

The paper is focused on identification and measurement of the main parameters of the stacked supercapacitors (SC). The volt-ampere method was used to measure the charge/discharge characteristic, impedance spectroscopy method for measurement of the equivalent serial resistance and analysis of the dynamic parameters. The measured and calculated parameters are: equivalent serial resistance (ESR), capacitance, self discharge resistance, maximum power and energy, energy efficiency.
Using academic detailing to enhance the knowledge, skills and attitudes of clinicians caring for patients with behavioral and psychological symptoms of dementia

: Approximately 90% of persons with dementia experience behavioral and psychological symptoms of dementia (BPSD) over the course of their illness. Primary care clinicians often provide care as specialty geriatric‐medicine or ‐psychiatry consultation may be difficult to obtain. Academic detailing (AD) is an evidence‐based educational approach for engaging and persuading healthcare professionals to make changes in their practice (Avorn 2017). We sought to enhance the knowledge, skills and attitudes of providers’ care of patients with BPSD using the AD model in primary care.
Sistemas Modernos de Apuração de Custos Aplicados na Manufatura Ágil

Este trabalho descreve uma serie de ferramentas modernas utilizadas para determinar e gerenciar o custo do produto. A proposta deste artigo e abordar o emprego em conjunto destas ferramentas para aplicacao nos sistema de manufatura agil. Tais ferramentas constituem-se de target costing, kaizen costing, activity-based costing (ABC) e activity-based management (ABM). E abordado ainda o sistema de manufatura agil, bem como um modelo conceitual de empresa agil e uma metodologia de sistemas integrados de custos aplicados a esta empresa
Considerations for the real‐world management of ARIA from the aducanumab phase 3 studies EMERGE and ENGAGE

Amyloid‐related imaging abnormalities (ARIA), a spectrum of imaging findings detected on brain magnetic resonance imaging (MRI), are associated with the investigational use of amyloid‐targeting monoclonal antibodies, including aducanumab, in patients with Alzheimer’s disease (AD). EMERGE (NCT02484547) and ENGAGE (NCT02477800) were Phase 3 studies that evaluated the efficacy and safety of aducanumab in patients with early AD.
Magnetically tunable ferrite resonator antenna

An experimental investigation of a novel ferrite resonator antenna has been carried out. The ferrite antenna was subjected to a static magnetic bias field, applied in directions parallel and perpendicular to the antenna length. The effects on the resonance frequency of the antenna when subjected to this bias were investigated. A maximum frequency shift of 8% above (parallel bias) or 8% below (perpendicular bias) the unbiased resonance frequency was achieved. >
An evaluation of synthetic jets for heat transfer enhancement in air cooled micro‐channels

Purpose – The development of novel cooling techniques is needed in order to be able to substantially increase the performance of integrated electronic circuits whose operations are limited by the maximum allowable temperature. Air cooled micro‐channels etched in the silicon substrate have the potential to remove heat directly from the chip. For reasonable pressure drops, the flow in micro‐channels is inherently laminar, so that the heat transfer is not very large. A synthetic jet may be used to improve mixing, thereby considerably increasing heat transfer. This paper seeks to address this issue.Design/methodology/approach – CFD has been used to study the flow and thermal fields in forced convection in a two‐dimensional micro‐channel with an inbuilt synthetic jet actuator. The unsteady Navier‐Stokes and energy equations are solved. The effects of variation of the frequency of the jet at a fixed pressure difference between the ends of the channel and with a fixed jet Reynolds number, have been studied with .
Impacts of Cultural Differences on Work-related Values among Employees in Ibadan, Nigeria

The thrust of this study is to investigate the impacts of cultural differences on the work- related values of employees in Nigeria using Declux Foods Plc, a multi-cultural confectionary Company located in Ibadan, Oyo State, Nigeria as a case study. Data for the study were generated through a multi-stage sampling technique with the use of questionnaires administered to one hundred and five (105) respondents selected from the study population. The work-related values (held in this study as dependent variables) were identified in relevant literature and were tested on a Likert's points of four (4) scale type ranging from strongly agree (4) to strongly disagree (1). Chi-square analysis was used to test the study hypotheses and the results were discussed under the various headings as appropriate. Findings from the study show that culture significantly affects reasons why people engage in work activities, the needs they seek to satisfy through their work, and motivation for work. Surprisingly, this study reveals that although employees are different in cultural orientations but the factor motivates them to put in their best at work is almost the same.
WHO'S NEXT? IDENTIFYING RISK FACTORS FOR SUBJECTS OF TARGETED ATTACKS

Malware-containing emails can be sent to anyone. Single malware variants can be sent to tens of thousands of recipients without distinction. However, a small proportion of email malware is sent in low copy number to a small set of recipients that have apparently been specifi cally selected by the attacker. These targeted attacks are challenging to detect and if successful, may be particularly damaging for the recipient. The vast majority of Internet users will never be sent a targeted attack. The few users to which such attacks are sent, presumably possess features that have brought them to the attention of attackers, and have caused them to be selected for attack. Applying epidemiological techniques to calculate the odds ratio for features of malware recipients, both targeted and non-targeted, allows the identifi cation of putative factors that are associated with targeted attack recipients. In this paper we show that it is possible to identify putative risk factors that are associated with individuals subjected to targeted attacks by considering the threat akin to a public health issue. These risk factors may be used to identify those at risk of being subject to future targeted attacks, so that these individuals can take additional steps to secure their systems and data.
Building Cost-Informatics: Neuro-Regression Modeling of Residential Building Project’s Cost

Building cost informatics is a body of knowledge that involves application of computer, digital system, building information modeling and state of art software in solving cost issues in building works and presentations in this study adopted building cost-informatics system in developing a model. The aim of the study is to generate a cost prediction model for residential building using a combination of parametric regression method and neural network (an expert system). The main objective of the work is to generate a stable cost prediction algorithm and model from neural network and regression method. Neural network is a conventional method currently being used in cost modeling, given its advantage over traditional regression method the objective is to use the strength of the two methods to generate an hybrid model that could be used in holistic cost prediction of residential building works. To achieve this, One hundred (100) samples of residential building projects were selected at random and divided into two; one part is used in developing network algorithm while the second part is used for model validation. Neural network is used to generate an optimized cost prediction algorithm which was divided into modules: the data optimization module, criteria selection with initializing and terminating modules. The generated algorithm and model was validated with Regression analysis was carried out and Jackknife re-sampling technique. It was discovered from colinearity analysis that there was high level of tolerance and -0.0756 lowest variation prediction quotients to 0.8678 highest variation quotients. Also the Regression coefficient (R-square) value for determining the model fitness is 0.069 with standard error of 0.045. These results attests to the fitness of the model generated. Implication of the above data is that the model algorithm is a stable one which could be processed further into software, it is flexible and adaptive in accommodating new data and variables, thus, it allows for continuous updating.
Decoupling Capacitor Induced Bandwidth and Delay expressions for On-Chip RLC global interconnects

Continuously scaling down devices is the main goal in deep sub-micron (DSM) technology. Though using DSM technology we are achieving many advantages. But circuit performances are badly affected because of secondary effects like crosstalk noise. According to International Technical Roadmap for Semiconductors(ITRS) 2011 report today's DSM technology outsmarted Moore's law to work in a new industrial trend called "More than Moore" (MtM). To accomplish this, it is necessary to analyze the timing behavior of the interconnect. Decoupling capacitor can have significant effect on principal characteristics of an integrated circuit (IC) i.e. speed, cost and power. So by including a decoupling capacitor intentionally can control secondary effects in very deep sub-micron (VDSM) technology. But inserting a decoupling capacitor affects delay and bandwidth of the interconnect. So while inserting decoupling capacitor we have to check for the disturbances in delay and bandwidth. Here in this paper two expressions for calculating delay and bandwidth have derived.
Structural simulation of the "DLR Artificial Skin" with ANSYS

A silicon based 3D structure is intended to be used as a sensorgrid for robots, like an "artificial skin". Aim is to simulate the tactile sense of a human skin on a robot. To achieve an optimal sensor geometry, various test are carried out. Part of the test series is a structural simulation of the sensor with ANSYS®. In this document, the results of different structural simulations like • pure displacement with three different electrode geometries, • deformation of a Taxel with Bumper under external force, • deformation of a Taxel without Bumper under external force will be presented.
Photolithography System Using Modified Illumination

Since the LSI pattern size has approached the exposure wavelength, various methods have been developed to overcome limitations in photolithography. This fact indicates that a shorter wavelength or some novel techniques will be needed in order to cope with finer patterns. The modified illumination method was proposed in order to improve the depth of focus and resolution limit. We applied the modified illumination method to the step-and-repeat exposure system. Experiments using modified illumination were carried out and sub-half-micron patterns were produced. The process latitudes of the modified illumination method are evaluated.
CSMC

The rise concern about mobile communication performance has driven the growing demand for the construction of mobile network signal maps which are widely utilized in network monitoring, spectrum management, and indoor/outdoor localization. Existing studies such as time-consuming and labor-intensive site surveys are difficult to maintain an update-to-date finegrained signal map within a large area. The mobile crowdsensing (MCS) paradigm is a promising approach for building signal maps because collecting large-scale MCS data is low-cost and with little extra-efforts. However, the dynamic environment and the mobility of the crowd cause spatio-temporal uncertainty and sparsity of MCS. In this work, we leverage MCS as an opportunity to conduct the city-wide mobile network signal map construction. We propose a fine-grained city-wide Cellular Signal Map Construction (CSMC) framework to address two challenges including (i) the problem of missing and unreliable MCS data; (ii) spatio-temporal uncertainty of signal propagation. In particular, CSMC captures spatio-temporal characteristics of signals from both inter- and intra- cellular base stations and conducts missing signal recovery with Bayesian tensor decomposition to build large-area fine-grained signal maps. Furthermore, CSMC develops a context-aware multi-view fusion network to make full use of external information and enhance signal map construction accuracy. To evaluate the performance of CSMC, we conduct extensive experiments and ablation studies on a large-scale dataset with over 200GB MCS signal records collected from Shanghai. Experimental results demonstrate that our model outperforms state-of-the-art baselines in the accuracy of signal estimation and user localization.