Simple Counter Research Articles

The Study on Renewable Energy from Ventilation Recuperation

The paper goal is to give the short study of the possible energy saving by forced ventilation with integrated temperature recuperation in the living buildings, which must be permanently ventilated. The energy losses by ventilation with better constructions isolation grow relatively up. The basic thermal calculations explain the efficiency dependence on the outer temperature and the saved energy or power. The flow calculations give the principal dimensions of recuperators and the ventilators power consumption. The comparison of advertised savings of expensive products with typical temperatures in middle Europe is critical to the price of these devices produced in short series. The results from flow and thermal calculation can help not only in the recuperating unit choice in shopping, but also in DIY hobby realisation of simple counter flow recuperator for house. Only the mass production can reduce the price and bring wider use of this energy saving device.

Chemically synthesized poly(3,4-ethylenedioxythiophene) conducting polymer as a robust electrocatalyst for highly efficient dye-sensitized solar cells.

Chemically synthesized PEDOT (poly(3,4-ethylenedioxythiophene)) nanomaterials, with various nanostructured morphologies as well as different intrinsic electrical conductivities and crystallinities, were compared as electrocatalysts for Co(III) reduction in dye-sensitized solar cells (DSSCs). Electrochemical parameters, charge transfer resistance toward the electrode/electrolyte interface, catalytic activity for Co(III)-reduction, and diffusion of cobalt redox species greatly depend on the morphology, crystallinity, and intrinsic electrical conductivity of the chemically synthesized PEDOTs and optimization of the fabrication procedure for counter electrodes. The PEDOT counter electrode, fabricated by spin coating a DMSO-dispersed PEDOT solution with an ordered 1D structure and nanosized fibers averaging 70 nm in diameter and an electrical conductivity of ∼16 S cm-1, exhibits the lowest charge transfer resistance, highest diffusion for a cobalt redox mediator and superior electrocatalytic performance compared to a traditional Pt-counter electrode. The photovoltaic performance of the DSSC using chemically synthesized PEDOT exceeds that of a Pt-electrode device because of the enhanced current density, which is directly related to the superior electrocatalytic ability of PEDOT for Co(III)-reduction. This simple spin-coated counter electrode prepared using cheap and scalable chemically synthesized PEDOT can be a potential alternative to the expensive Pt-counter electrode for cobalt and other redox electrolytes in DSSCs and various flexible electronic devices.

Joint BCH and XOR Decoding for Solid State Drives

At a flash memory, each stored data frame is protected by error correction codes (ECC) such as Bose-Chaudhuri-Hocquenghem (BCH) codes from random errors. Exclusive-OR (XOR) based erasure codes like RAID-5 have also been employed at the flash memory to protect from memory block defects. Conventionally, the ECC and erasure codes are used separately since their target errors are different. Due to recent aggressive technology scaling, additional error correction capability for random errors is required without adding redundancy. We propose an algorithm to improve error correction capability by using XOR parity with a simple counter that counts the number of unreliable bits in the XOR stripe. We also propose to apply Chase decoding to the proposed algorithm. The counter makes it possible to reduce the false correction and execute the efficient Chase decoding. We show that combining the proposed algorithm with Chase decoding can significantly improve the decoding performance.

Technique Bidirectional Visitor Counter

Bidirectional counters, electronic devices, or systems that track and count people or objects entering and exiting a specific space offer valuable insights into various applications. In marketing and sales, bidirectional counters are crucial in understanding customer behaviour, optimizing strategies, and enhancing overall performance. This paper investigates the design of a simple bidirectional counter application and evaluates its impact on marketing and sales. By tracking visitors, conversion rates, and visitor patterns, bidirectional counters enable data-driven decision-making and improved customer experiences. The paper highlights the potential of bidirectional counters as powerful tools for marketers and sales professionals, maximizing sales opportunities and driving effective marketing strategies to satisfy customers and increase profits.

Real-time monitoring to reduce the risks of nuclear radwaste repositories

Real-time monitoring to reduce the risks of nuclear radwaste repositories Paolo Finocchiaro, a Nuclear Physicist and Head Technologist at INFN Laboratori Nazionali del Sud argues the struggles of dangerous radioactive waste, or radwaste which comes with the immense potential benefits of nuclear power. Technologies have made it possible to develop low-cost systems capable of monitoring the penetrating radiation coming out of each single spent nuclear fuel cask or radwaste drum, by means of simple, compact, and effective counters for the detection of gamma rays and neutrons. However, these solutions don't come without complications: (i) the local ambient monitoring is limited to a few positions; (ii) it requires people moving around in a potentially dangerous environment. Fincchiaro suggests that human surveillance will be necessary along with cameras, adding to the main concerns when considering the risk of insider threats, especially in light of the increased risks of terrorism. Looking at two new detector technologies, named SciFi and SiLiF, Fincchiaro looks at their successful tests on radwaste from the very low to the highest activity level.

Radioactive contamination in feral dogs in the Chernobyl exclusion zone: Population body-burden survey and implications for human radiation exposure.

This report describes a two-year effort to survey the internal 137Cs and external β-emitter contamination present in the feral dog population near the Chernobyl nuclear power plant (ChNPP) site, and to understand the potential for human radiation exposure from this contamination. This work was performed as an integral part of the radiation safety and control procedures of an animal welfare oriented trap-neuter-release (TNR) program. The measurement program focused on external contamination surveys using handheld β-sensitive probes, and internal contamination studies using a simple whole-body counter. Internal 137Cs burden was measured non-invasively during post-surgical observation and recovery. External β contamination surveys performed during intake showed that 21/288 animals had significant, removable external contamination, though not enough to pose a large hazard for incidental contact. Measurements with the whole-body counter indicated internal 137Cs body burdens ranging from undetectable (minimum detection level ∼100 Bq/kg in 2017, ∼30 Bq/kg in 2018) to approximately 30,000 Bq/kg. A total of 33 animals had 137Cs body-burdens above 1 kBq/kg, though none posed an external exposure hazard. The large variation in the 137Cs concentration in these animals is not well-understood, could be due to prey selection, access to human food scraps, or extended residence in highly contaminated areas. The small minority of animals with external contamination may pose a contamination risk allowing exposures in excess of regulatory standards.

What Principle Governs the Chemical Dynamic/Kinetic Process (2)?

In this work we explored the detail relation between the positive and reverse chemical reaction rates. It is found that the differential relation between the positive and reverse chemical reaction rates is not simple counter relation. Furthermore, it is revealed that the dynamic/kinetic process automatically broke the symmetry of the nature and during the differential process, the positive and reverse chemical reactions allow duplication. The detail odd-even principle has been elucidated in this work.

Efficient Intersection Management Based on an Adaptive Fuzzy-Logic Traffic Signal

Traffic signals may generate bottlenecks due to an unfair timing balance. Facing this problem, adaptive traffic signal controllers have been proposed to compute the phase durations according to conditions monitored from on-road sensors. However, high hardware requirements, as well as complex setups, make the majority of these approaches infeasible for most cities. This paper proposes an adaptive traffic signal fuzzy-logic controller which uses the flow rate, retrieved from simple traffic counters, as a unique input requirement. The controller dynamically computes the cycle duration according to the arrival flow rates, executing a fuzzy inference system guided by the reasoning: the higher the traffic flow, the longer the cycle length. The computed cycle is split into different phases proportionally to the arrival flow rates according to Webster’s method for signalization. Consequently, the controller only requires determining minimum/maximum flow rates and cycle lengths to establish if–then mappings, allowing the reduction of technical requirements and computational overhead. The controller was tested through a microsimulation model of a real isolated intersection, which was calibrated with data collected from a six-month traffic study. Results revealed that the proposed controller with fewer input requirements and lower computational costs has a competitive performance compared to the best and most used approaches, being a feasible solution for many cities.

Improving the Statistical Qualities of Pseudo Random Number Generators

Pseudo random and true random sequence generators are important components in many scientific and technical fields, playing a fundamental role in the application of the Monte Carlo methods and stochastic simulation. Unfortunately, the quality of the sequences produced by these generators are not always ideal in terms of randomness for many applications. We present a new nonlinear filter design that improves the output sequences of common pseudo random generators in terms of statistical randomness. Taking inspiration from techniques employed in symmetric ciphers, it is based on four seed-dependent substitution boxes, an evolving internal state register, and the combination of different types of operations with the aim of diffusing nonrandom patterns in the input sequence. For statistical analysis we employ a custom initial battery of tests and well-regarded comprehensive packages such as TestU01 and PractRand. Analysis results show that our proposal achieves excellent randomness characteristics and can even transform nonrandom sources (such as a simple counter generator) into perfectly usable pseudo random sequences. Furthermore, performance is excellent while storage consumption is moderate, enabling its implementation in embedded or low power computational platforms.

The TVGH-NYCU Thal-Classifier: Development of a Machine-Learning Classifier for Differentiating Thalassemia and Non-Thalassemia Patients.

Thalassemia and iron deficiency are the most common etiologies for microcytic anemia and there are indices discriminating both from common laboratory simple automatic counters. In this study a new classifier for discriminating thalassemia and non-thalassemia microcytic anemia was generated via combination of exciting indices with machine-learning techniques. A total of 350 Taiwanese adult patients whose anemia diagnosis, complete blood cell counts, and hemoglobin gene profiles were retrospectively reviewed. Thirteen prior established indices were applied to current cohort and the sensitivity, specificity, positive and negative predictive values were calculated. A support vector machine (SVM) with Monte-Carlo cross-validation procedure was adopted to generate the classifier. The performance of our classifier was compared with original indices by calculating the average classification error rate and area under the curve (AUC) for the sampled datasets. The performance of this SVM model showed average AUC of 0.76 and average error rate of 0.26, which surpassed all other indices. In conclusion, we developed a convenient tool for primary-care physicians when deferential diagnosis contains thalassemia for the Taiwanese adult population. This approach needs to be validated in other studies or bigger database.

PROBABILISTIC ANALYSES OF 131I THYROID ACTIVITY IN PERSONS WITH SURFACE CONTAMINATION IN DIRECT MEASUREMENT WITH A STANDING-TYPE WHOLE-BODY COUNTER AS AN EMERGENCY RESPONSE IN A RADIOLOGICAL INCIDENT.

The authors' previous study suggested that a simple standing-type whole-body counter called FASTSCAN (Canberra, Meriden, CT, USA), widely installed throughout Japan after the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident in March 2011, could be used for thyroid measurements in internal dose assessment after a future radiological incident accompanied by the release of 131I into the environment. The present study performed Monte-Carlo simulations using a computational human phantom with several patterns of body surface contamination and used the results to formulate a method for probabilistic analyses of 131I thyroid activity in persons with surface contamination. The major advantage of this method is that the upper limit of the thyroid activity can be determined from the relative frequency distribution without identifying where body surface contamination remains. Therefore, this method is especially effective for use in the early phase of a radiological incident when time and resources are limited, making it difficult to physically remove all body surface contamination for the purpose of gaining more accurate population-wide thyroid screening measurements. As a case study of the FDNPP accident, the proposed method was applied to the results of in vivo measurements for a male subject with body surface contamination. In comparing the probabilistic analyses before and after removal of the subject's contaminated work clothes, the uncertainty of the relative frequency distribution of 131I thyroid activity was reduced by their removal. Therefore, in terms of accurate estimates and avoidance of radiation exposure from their contaminated clothes, efforts to remove body surface contamination still should be made as much as possible in the chaotic situation of the early phase of a radiological incident.

A Time-Based Electronic Front-End for a Capacitive Particle Matter Detector.

This paper introduces the electronic interface for a capacitive airborne particle matter detector. The proposed circuit relies on two matched ring oscillators and a mixer to detect the frequency difference induced by the deposition of a particle onto an interdigitated capacitor, which constitutes the load of one of the oscillators. The output of the mixer is digitized through a simple counter. In order to compensate the oscillation frequency offset of the two ring oscillators due to process and mismatch variations, a capacitive trimming circuit has been implemented. The sensor is connected to host through an I2C interface for communication and configuration. The sensor has been implemented using a standard 130-nm CMOS technology by STMicroelectronics and occupies 0.12-mm2 die area. Experimental measurements using talcum powder show a sensitivity of 60 kHz/fF and a 3σ resolution equal to 165 aF.

Comparison of the Background Radiation Level within Kanchanpur District, Nepal

We have reported the background radiation of urban and some other rural places of Kanchanpur district, Nepal. A simple portable Geiger Muller counter was used to quantify the level of overall background radiation by collecting data of different forty seven (including six urban and forty one rural places) places within the district. Our study reveals that the background radiation level of the study district is below the risk level. The maximum background count values 33.00±4.47 (Mahakali Zonal Hospital), 33.93 ± 1.16 (Mahakali School, Mahakali -01) and 31.30±3.97 CPM (Gha gaon) have been reported which is below the risk level. The observed values of radiation counts at all the sample places indicate that Kanchanpur district is radiation risk free.

SOCS, Intrinsic Virulence Factors, and Treatment of COVID-19.

The suppressor of cytokine signaling (SOCS) family of intracellular checkpoint inhibitors has received little recognition compared to other checkpoint inhibitors. Two members of this family, SOCS1 and SOCS3, are indispensable, since SOCS1 knockout in mice results in neonatal death due to interferon gamma (IFNγ) induced inflammatory disease, and SOCS3 knockout leads to embryonic lethality. We have shown that SOCS1 and SOCS3 (SOCS1/3) function as virus induced intrinsic virulence factors for influenza A virus, EMC virus, herpes simplex virus 1 (HSV-1), and vaccinia virus infections. Other viruses such as pathogenic pig enteric coronavirus and coronavirus induced severe acute respiratory syndrome (SARS) spike protein also induce SOCS virus intrinsic virulence factors. SOCS1/3 exert their viral virulence effect via inhibition of type I and type II interferon (IFN) function. Specifically, the SOCS bind to the activation loop of receptor-associated tyrosine kinases JAK2 and TYK2 through the SOCS kinase inhibitory region (KIR), which inhibits STAT transcription factor activation by the kinases. Activated STATs are required for IFN function. We have developed a small peptide antagonist of SOCS1/3 that blocks SOCS1/3 inhibitory activity and prevents virus pathogenesis. The antagonist, pJAK2(1001-1013), is comprised of the JAK2 activation loop, phosphorylated at tyrosine 1007 with a palmitate for cell penetration. The remarkable thing about SOCS1/3 is that it serves as a broad, simple tool of perhaps most pathogenic viruses to avoid innate host IFN defense. We suggest in this Perspective that SOCS1/3 antagonist is a simple counter measure to SOCS1/3 and should be an effective mechanism as a prophylactic and/or therapeutic against the COVID-19 pandemic that is caused by coronavirus SARS-CoV2.

Two-loop HTL-resummed thermodynamics for mathcal{N} = 4 supersymmetric Yang-Mills theory

We compute the two-loop hard-thermal-loop (HTL) resummed thermodynamic potential for mathcal{N} = 4 supersymmetric Yang-Mills (SYM). Our final result is manifestly gauge-invariant and was renormalized using only simple vacuum energy, gluon mass, scalar mass, and quark mass counter terms. The HTL mass parameters mD, MD, and mq are then determined self-consistently using a variational prescription which results in a set of coupled gap equations. Based on this, we obtain the two-loop HTL-resummed thermodynamic functions of mathcal{N} = 4 SYM. We compare our final result with known results obtained in the weak- and strong-coupling limits. We also compare to previously obtained approximately self-consistent HTL resummations and Padé approximants. We find that the two-loop HTL resummed results for the scaled entropy density is a quantitatively reliable approximation to the scaled entropy density for 0 ≤ λ ≲ 2 and is in agreement with previous approximately self-consistent HTL resummation results for λ ≲ 6.

MMR Vaccine Adverse Drug Reactions Reports in the CDC WONDER System, 1989-2019.

Dissemination of misleading information regarding vaccine safety has contributed to the reduction in vaccination rates and the resurgence of diseases once considered eliminated. The CDC WONDER interface can be used to perform simple but powerful safety analyses and counter misinformation. The dissemination of false and misleading information regarding vaccine adverse reactions online has led to negative consequences, including raising parents' concerns about vaccine safety and fostering a growing opposition to the use of vaccines. However, health care workers can also use online resources to counter misinformation. The Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) is an online interface that allows health care workers to access the large-linked electronic health record database Vaccine Adverse Event Reporting System and perform near real-time vaccine safety analyses; hence it has the potential to become a powerful and accessible tool to provide information-driven decision-making regarding vaccine safety.

Surprise response as a probe for compressed memory states

The limited capacity of recent memory inevitably leads to partial memory of past stimuli. There is also evidence that behavioral and neural responses to novel or rare stimuli are dependent on one’s memory of past stimuli. Thus, these responses may serve as a probe of different individuals’ remembering and forgetting characteristics. Here, we utilize two lossy compression models of stimulus sequences that inherently involve forgetting, which in addition to being a necessity under many conditions, also has theoretical and behavioral advantages. One model is based on a simple stimulus counter and the other on the Information Bottleneck (IB) framework which suggests a more general, theoretically justifiable principle for biological and cognitive phenomena. These models are applied to analyze a novelty-detection event-related potential commonly known as the P300. The trial-by-trial variations of the P300 response, recorded in an auditory oddball paradigm, were subjected to each model to extract two stimulus-compression parameters for each subject: memory length and representation accuracy. These parameters were then utilized to estimate the subjects’ recent memory capacity limit under the task conditions. The results, along with recently published findings on single neurons and the IB model, underscore how a lossy compression framework can be utilized to account for trial-by-trial variability of neural responses at different spatial scales and in different individuals, while at the same time providing estimates of individual memory characteristics at different levels of representation using a theoretically-based parsimonious model.

Bimetric cosmology is compatible with local tests of gravity

Recently, Kenna-Allison et al claimed that bimetric gravity cannot give rise to a viable cosmological expansion history while at the same time being compatible with local gravity tests. In this note we review that claim and combine various results from the literature to provide several simple counter examples. We conclude that the results of Kenna-Allison et al cannot hold in general.

TAP: Reducing the Energy of Asymmetric Hybrid Last-Level Cache via Thrashing Aware Placement and Migration

Emerging non-volatile memories (NVMs) have favorable properties, such as low leakage and high density, and have attracted a lot of attention in recent years. Among them, spin-transfer torque magnetoresistive random access memory (STT-MRAM) with SRAM-comparable read speed is a good candidate to build large last-level caches (LLCs). However, STT-MRAM suffers from long write latency and high write energy. To mitigate the impact of asymmetric read/write energy and latency, hybrid cache designs have been proposed to combine the merits of STT-MRAM and SRAM. In such a hybrid SRAM/STT-MRAM LLC, intelligent block placement and migration policies are needed to improve the energy efficiency. Prior studies map write-intensive blocks to SRAM and keep read-intensive blocks in STT-MRAM for reducing the energy consumption of hybrid LLCs. The write-intensive/read-intensive blocks are usually captured by sampling the address (PC) of memory access instructions or adding simple access counters in each cache line. Nevertheless, these prior approaches cannot fully capture the energy-harmful access behavior in STT-MRAM, especially the writes caused by repetitive data transfer between the LLC and upper-level caches. In this paper, we find that conflict misses in L2 often generate thrashing blocks which move back and forth between L2 and LLC. If dirty thrashing blocks that incur extensive writes are placed in STT-MRAM, energy consumption would excessively increase, especially when running memory-bound workloads. Thus, we propose a thrashing aware placement and migration policy (TAP) to tackle the challenge. TAP places dirty thrashing blocks into SRAM and migrates clean thrashing blocks from SRAM to STT-MRAM. Evaluation results show that TAP can provide significant energy savings with minimal performance loss.

Neutron/γ discrimination by an emission-based phoswich approach

Particle discrimination in a mixed radiation field using scintillators is a challenging topic in radiation detection research. We propose a novel approach relying on the possibility of identifying particles interacting in a phoswich detector from the emission spectrum of the produced scintillation signal. As a proof of concept, we focus on the discrimination between neutrons and gamma rays.Lu3Al5O12:Pr and Gd3Al2Ga3O12:Ce thin single crystal scintillators, coupled to two different silicon photomultipliers equipped with optical filters, are simultaneously used in the same phoswich detector. Their optical emissions peak at approximately 310 nm and 545 nm respectively, and thus they can easily be distinguished by optical filtering. While both crystals are sensitive to gamma rays, neutrons interact only with the Gd3Al2Ga3O12:Ce thanks to the presence of Gd acting as neutron converter. Optical filtration and an anti-coincidence algorithm are therefore used to perform particle discrimination, rejecting coincidence signals arising from gamma rays, which simultaneously deposit energy in both crystals, and counting anti-coincidence signals due to neutrons, which deposit energy only in the Gd3Al2Ga3O12:Ce.The simple neutron counter developed here is intended to be a proof of the principle of the feasibility of the color-based particle discrimination technique.