Miracle-dz/UniFAR-FTUs huggingface dataset:
Wireless Ad Hoc Discovery of Parking Meters 1

Locating a suitable parking spot is a common challenge faced by millions of city- dwellers every day. As common is the revenue generation by fee and fine collection in these municipalities. Wireless ad hoc networking technologies oer a new and ecient means to both simplify the process of parking and find collection as well as extending the convenience for drivers. In this paper we describe a multi-hop wireless parking meter network (PMNET) that, when coupled with a GPS receiver, allows a user (driver) to quickly locate and navigate to an available parking space. Our solution is achieved by equipping existing parking meters with wireless radio frequency (RF) transceivers and auxiliary hardware and software. We believe that this is a compelling application that applies wireless ad hoc networking and low- power, short range RF technologies. The attractiveness of the proposal stems from the fact that such a network of nodes can function without any fixed wired or wireless infrastructure such as cellular or satellite networks. In this work, we model a PMNET as a special class of ad hoc networks characterized by a combination of static, immobile nodes (parking meters) and mobile nodes (vehicles). We propose scalable techniques for satisfying a mobile user's query in a distributed fashion.
Remote Sensing to Detect and Monitor Trees in Various Environments: Case Studies in Chile

Today, the presence of green areas in cities plays an important role for the well-being of its inhabitants and its sustainable development. Modern cities need green spaces for environmental, psychological, esthetic, economic, and social reasons. In this meaning, Chilean cities, although Chile is still considered by the United Nations 1 as a developing economy, are no exception. Given the importance of this common good, it is necessary to optimize its permanent care. An incident factor in the deterioration of vegetation in urban and rural areas is stress, which can be of biotic or abiotic origin. One way to systematize care of trees is by the application of multispectral sensors and modern digital image processing. Once plantations or trees are spectrally characterized, one can proceed to develop plant health mitigation programs. This article shows the potential of remote sensing for tree stress detection, in the central south of Chile. Focus is given on rural areas as forestry for the Chilean economy is of great importance. These approaches can easily be adapted to urban scenarios.
Meningococcal Type IV Pili Recruit the Polarity Complex to Cross the Brain Endothelium

Breaking the Barrier Being able to deliver drugs into the brain to treat degenerative diseases such as Alzheimer's or Parkinson's requires the ability to traverse the blood-brain barrier (BBB). Understanding the formation of the very specific adherent junctions (AJ) and tight junctions present at the BBB cell junctions is a prerequisite to the design of such therapeutics. However, diminishing the expression of any one component involved in the formation of these intercellular junctions destroys them. Coureuil et al. (p. 83, published online 11 June) exploited the specific recruitment of AJ proteins by Neisseria meningitidis to dissect this process. Adhesion of the bacteria to human brain endothelial cells recruited the polarity complex Par3/Par6/PKCζ required for the establishment of eukaryotic cell polarity and the formation of intercellular junctions. The bacterial recruitment of the polarity complex depleted junctional proteins at the cell-cell interface opening the intercellular junctions at the brainendothelial interface. Adhesion of bacteria to cells lining blood vessels in the brain induces them to part and allows pathogen invasion. Type IV pili mediate the initial interaction of many bacterial pathogens with their host cells. In Neisseria meningitidis, the causative agent of cerebrospinal meningitis, type IV pili–mediated adhesion to brain endothelial cells is required for bacteria to cross the blood-brain barrier. Here, type IV pili–mediated adhesion of N. meningitidis to human brain endothelial cells was found to recruit the Par3/Par6/PKCζ polarity complex that plays a pivotal role in the establishment of eukaryotic cell polarity and the formation of intercellular junctions. This recruitment leads to the formation of ectopic intercellular junctional domains at the site of bacteria–host cell interaction and a subsequent depletion of junctional proteins at the cell-cell interface with opening of the intercellular junctions of the brain-endothelial interface.
Corporate Responses in an Emerging Climate Regime: The Institutionalization and Commensuration of Carbon Disclosure

This paper examines corporate responses to climate change in relation to the development of reporting mechanisms for greenhouse gases, more specifically carbon disclosure. It first presents some background and context on the evolution of carbon trading and disclosure, and then develops a conceptual framework using theories of global governance, institutional theory and commensuration to understand the role of carbon disclosure in the emerging climate regime. Subsequently, a closer look is taken at carbon disclosure and reporting mechanisms, with a particular focus on the Carbon Disclosure Project (CDP). Our analysis of responses shows that CDP has been successfully using institutional investors to urge firms to disclose extensive information about their climate change activities. However, although response rates in terms of numbers of disclosing firms are impressive and growing, neither the level of carbon disclosure that CDP promotes nor the more detailed carbon accounting provide information that is particularly valuable for investors, NGOs or policy makers at this stage. As a project of commensuration, carbon disclosure has achieved some progress in technical terms, but much less with regard to the cognitive and value dimensions.
Performance Comparison of Four-Socket Server Architecture on HPC Workload

Recent server architectures embrace a common technology feature: on-chip parallelism via multi-core and CMT (Chip Multi Threading) technologies. However, they also significantly differ in a number of key aspects includingclock speed, micro-architecture, cache hierarchy, and memory sub-system. Such differences may lead to difference levels of application performance. This paper presents a performance comparison of the recent four-socketserver architecture on various high performance computing (HPC) workloads. Our analysis is based on two benchmark suites from Standard Performance Evaluation Corporation (SPEC): SPEC CPU2006 and SPEC OMP2001. Our analysis shows that no single architecture is the best for all types of workload. In addition, we found that the CPU clock speed, which is often used as the sole performance indicator, does not always reflect application performance.
Thin viscous sheets with inhomogeneous viscosity

We derive the equations governing the dynamics of thin viscous sheets having non-homogeneous viscosity, via asymptotic expansion methods. We consider distributions of viscosity that are inhomogeneous in the longitudinal and transverse directions and arbitrary (bulk and surface) external forces. Two specific problems are solved as an illustration. In a first example, we study the effects of purely in-plane variations of viscosity, which lead to thickness modulations when the sheet is stretched or compressed. In a second example, we study a stretched viscous sheet whose viscosity varies both across thickness and in-plane; in that case, we find that in-plane strain leads to out-of-plane displacement as the in-plane forces become coupled to transverse ones.
Tracking control of a class of Hamiltonian mechanical systems with disturbances

This paper presents a trajectory-tracking control strategy for a class of mechanical systems in Hamiltonian form. The class is characterised by a simplectic interconnection arising from the use of generalised coordinates and full actuation. The tracking error dynamic is modelled as a port-Hamiltonian Systems (PHS). The control action is designed to take the error dynamics into a desired closed-loop PHS characterised by a constant mass matrix and a potential energy with a minimum at the origin. A transformation of the momentum and a feedback control is exploited to obtain a constant generalised mass matrix in closed loop. The stability of the close-loop system is shown using the close-loop Hamiltonian as a Lyapunov function. The paper also considers the addition of integral action to design a robust controller that ensures tracking in spite of disturbances. As a case study, the proposed control design methodology is applied to a fully actuated robotic manipulator.
Immunohistochemical analysis of candidate gene product expression in the duodenal epithelium of children with coeliac sprue.

BACKGROUND Coeliac sprue is a chronic disease, in which there is a characteristic mucosal lesion of the small intestine and impaired nutrient absorption, which improves upon the withdrawal of wheat gliadins and related grain proteins from the diet. Biopsy specimens demonstrate diffuse enteritis with pronounced atrophy or total loss of villi. There is also a long term risk of malignant disease. AIMS To compare the immunoexpression of DCC (deleted in colon cancer), p53, E-cadherin, and beta-catenin in the duodenal mucosa of children with coeliac disease with that seen in children with no evidence of small intestinal disease. METHODS To gain more insight into the genetic and immunohistochemical alterations of the duodenal epithelium in coeliac disease, 21 endoscopic biopsies from children with coeliac disease and 10 duodenal biopsies from children without coeliac disease were immunohistochemically evaluated for p53, DCC, E-cadherin, and beta-catenin. RESULTS DCC expression was not reduced in patients with coeliac disease compared with those without coeliac disease. p53 positive nuclear immunostaining was seen in seven of the 21 patients with coeliac disease. Positive nuclear staining was seen mainly in the deep and the lateral aspects of the crypts. All patients in the control group were negative for p53. In nine and three of the 21 patients with coeliac disease, respectively, the immunohistochemical expression of E-cadherin and beta-catenin was reduced. However, both E-cadherin and beta-catenin immunostaining in the control group was not altered. CONCLUSIONS E-cadherin and beta-catenin were reduced in the duodenal epithelium of children with coeliac disease when compared with normal mucosa. p53 was overexpressed in the duodenal mucosa of patients with coeliac disease. The reduced expression of E-cadherin and beta-catenin and p53 overexpression may contribute to the morphological changes seen in the small intestinal mucosa in coeliac disease.
Circulating miR-30a, miR-195 and let-7b Associated with Acute Myocardial Infarction

Background MicroRNAs (miRNAs) play key roles in diverse biological and pathological processes, including the regulation of proliferation, apoptosis, angiogenesis and cellular differentiation. Recently, circulating miRNAs have been reported as potential biomarkers for various pathologic conditions. This study investigated miR-30a, miR-195 and let-7b as potential of biomarker for acute myocardial infarction (AMI). Methods and Results Plasma samples from 18 patients with AMI and 30 healthy adults were collected. Total RNA was extracted from plasma with TRIzol LS Reagent. MiRNA levels and plasma cardiac troponin I (cTnI) concentrations were measured by quantitative real-time PCR and ELISA assay, respectively. Results showed that circulating miR-30a in AMI patients was highly expressed at 4 h, 8 h and 12 h after onset of AMI, and miR-195 was highly expressed at 8 h and 12 h. However, let-7b was lower in AMI patients than in controls throughout the whole time points. Interestingly, in these patients, circulating miR-30a, miR-195 and let-7b all reached their expression peak at 8 h. By the receiver operating characteristic (ROC) curve analyses, these plasma miRNAs were of significant diagnostic value for AMI. The combined ROC analysis revealed the an AUC value of 0.93 with 94% sensitivity and 90% specificity at 8 h after onset, and an AUC value of 0.92 with 90% sensitivity and 90% specificity at 12 h after onset, in discriminating the AMI patients from healthy controls. Conclusions Our results imply that the plasma concentration of miR-30a, miR-195 and let-7b can be potential indicators for AMI.
The particle computer system

This paper presents a sensor-based, networked embedded system, referred to as the particle computer system. It is comprised of tiny wireless sensor nodes, capable of communication with each other, as well as connectivity with backend, PC-based systems, thereby facilitating software development and data analysis in an integrated systems package. The core design principles of the sensor nodes enable operation in very mobile settings and truly ad-hoc, peer-to-peer interoperation without the intervention of a master or explicit middleware layer. The two main system properties highlighted in this paper are: 1) information distribution to all components within the system and 2) the usage of a common communication language in all system components. This language has been proprietarily developed for the particle system and is known as ConCom. As a result of these system properties, we have found the particle system to be very extensible and applicable in many everyday scenarios. The paper presents insights to the implementation of the particle computer system, including software development and data analysis capabilities, and the overall system integration.
Accuracy of Frozen Section Biopsy in the Diagnosis of Endometrial Cancer: A Systematic Review and Meta-Analysis

Simple Summary Endometrial cancer continues to be among the most prevalent cancers affecting the female reproductive system. The timely and precise diagnosis of endometrial cancer is crucial for the survival of individuals affected by it. The aim of the present systematic review and meta-analysis was to consolidate and assess the findings concerning the diagnostic precision of frozen section analysis of endometrial tissues for diagnosing endometrial cancer and atypical hyperplasia. The method has demonstrated high reliability in diagnosing endometrial cancer and even greater accuracy for atypical hyperplasia. This could significantly influence clinical practice, as a less invasive procedure such as frozen section biopsy could benefit a substantial number of women. Abstract The early and accurate diagnosis of endometrial cancer is of paramount importance for the survival of these patients. The aim of this study was to systematically appraise the available data regarding the accuracy of frozen section biopsy in diagnosing endometrial cancer. A thorough literature search was performed in PubMed/Medline, Scopus and the Cochrane Central Register of Controlled Trials databases from inception up to January 2023, with the use of specific, relevant key terms. A quality evaluation for each study was performed with the QUADAS-2 tool, whereas a bivariate random-effect model was performed to generate a summary receiver-operated curve. Heterogeneity was evaluated with Cochrane Q and Higgins’ I2 statistics. Subgroup analyses were performed for studies focused on atypical hyperplasia and those focused on endometrial cancer. The search yielded 47 studies, involving 7790 patients with endometrial cancer. Among them, only 11 could be included in the quantitative analysis. QUADAS-2 evaluation resulted in rather high quality among the included studies. Quantitative synthesis resulted in a pooled sensitivity of 0.863 and pooled specificity of 0.916. The AUC was 0.948, the Q statistic was 10.488 (10 df, p = 0.399) and Higgins’ I2 (4.655%) reported no significant heterogeneity. Subgroup analyses based on the diagnosis revealed a pooled sensitivity 0.886, specificity 0.862 and AUC 0.934 for endometrial cancer versus a sensitivity of 0.816, specificity of 0.962 and AUC 0.939 for atypical hyperplasia. Frozen section appears as a valid and reliable diagnostic tool for endometrial cancer. Its reliability seems to be even higher for the diagnosis of atypical hyperplasia. Therefore, this method may be considered in clinical practice and in settings with appropriate resources.
Evaluation of Biological Plant Protection Products for Their Ability to Induce Olive Innate Immune Mechanisms and Control Colletotrichum acutatum, the Causal Agent of Olive Anthracnose

Olive anthracnose is the most important fungal disease of the olive fruit worldwide, with the fungus Colletotrichum acutatum as the main cause of the disease in Greece. A total of 11 commercial biological plant protection products (bioPPPs) (Amylo-X®, Botector®, FytoSave®, LBG 01F34®, Mevalone®, Polyversum®, Remedier®, Serenade® ASO, Sonata®, Trianum-P®, Vacciplant®), with various modes of action against the fungus C. acutatum, were evaluated by bioassays using detached fruits of two important olive Greek varieties, cv. Koroneiki and cv. Kalamon. Subsequently, the most effective bioPPPs were evaluated for their ability to induce plant defense mechanisms, by determining the expression levels of ten Olea europaea defense genes (Pal, CuaO, Aldh1, Bglu, Mpol, Lox, Phely, CHI-2, PR-10, PR-5). Remedier®, Trianum-P®, Serenade® ASO, Sonata®, and Mevalone® were the most effective in reducing disease severity, and/or inhibiting the conidia production by the fungus at high rates. Post bioPPPs application, high expression levels of several olive plant defense genes were observed. This study provides insights into commercial bioPPPs’ effectiveness in controlling olive anthracnose, as well as biocontrol-agents-mediated modulation of olive defense mechanisms.
Global data flow analysis by decomposition into primes

The concept of prime program is applied as a decomposition technique to the global data flow analysis problem. This is done both in the abstract and through the use of the live variables problem as an example. It is also shown how the prime program decomposition is equivalent to the arrangement of a certain matrix (associated with the global data flow analysis problem) into block triangular form.
Inactivation of VicK Affects Acid Production and Acid Survival of Streptococcus mutans

ABSTRACT The regulation of acid production in and the tolerance to low pH of the cariogenic bacterium Streptococcus mutans have garnered considerable attention since both of these properties contribute substantially to the virulence of this organism. Frequent or prolonged exposure to acid end products, mainly lactic acid, that are present following the consumption of dietary sugars erodes the dental enamel, thereby initiating dental caries. Here we report the involvement of the S. mutans VicK sensor kinase in both the acidogenicity and the aciduricity of this bacterium. When cultures were supplemented with glucose, the glycolytic rate of a VicK null mutant was significantly decreased compared to the glycolytic rate of the wild type (P < 0.05), suggesting that there was impaired acid production. Not surprisingly, the VicK deletion mutant produced less lactic acid, while an acid tolerance response assay revealed that loss of VicK significantly enhanced the survival of S. mutans (P < 0.05). Compared to the survival rates of the wild type, the survival rates of the VicK-deficient mutant were drastically increased when cultures were grown at pH 3.5 with or without preexposure to a signal pH (pH 5.5). Global transcriptional analysis using DNA microarrays and S. mutans wild-type UA159 and VicK deletion mutant strains grown at neutral and low pH values revealed that loss of VicK significantly affected expression of 89 transcripts more than twofold at pH 5.5 (P < 0.001). The affected transcripts included genes with putative functions in transport and maintenance of cell membrane integrity. While our results provide insight into the acid-inducible regulon of S. mutans, here we imply a novel role for VicK in regulating intracellular pH homeostasis in S. mutans.
Chaperones—A New Class of Potential Therapeutic Targets in Alzheimer’s Disease

The review describes correlations between impaired functioning of chaperones and co-chaperones in Alzheimer’s disease (AD) pathogenesis. The study aims to highlight significant lines of research in this field. Chaperones like Hsp90 or Hsp70 are critical agents in regulating cell homeostasis. Due to some conditions, like aging, their activity is damaged, resulting in β-amyloid and tau aggregation. This leads to the development of neurocognitive impairment. Dysregulation of co-chaperones is one of the causes of this condition. Disorders in the functioning of molecules like PP5, Cdc37, CacyBP/SIPTRAP1, CHIP protein, FKBP52, or STIP1 play a key role in AD pathogenesis. PP5, Cdc37, CacyBP/SIPTRAP1, and FKBP52 are Hsp90 co-chaperones. CHIP protein is a co-chaperone that switches Hsp70/Hsp90 complexes, and STIP1 binds to Hsp70. Recognition of precise processes allows for the invention of effective treatment methods. Potential drugs may either reduce tau levels or inhibit tau accumulation and aggregation. Some substances neuroprotect from Aβ toxicity. Further studies on chaperones and co-chaperones are required to understand the fundamental tenets of this topic more entirely and improve the prevention and treatment of AD.
CS-UWB Channel Estimation Through Adaptive Projection

Accurate channel estimation of Ultra-wideband (UWB) signal is important, due to its low power spectrum density and complicated transfer multi-path. Considering its wider band width, Compressed Sensing (CS) provides a feasible way of sub-sampling. Common projection matrices are highly relevant with UWB sparse transform matrix, This demanded higher compression ratio which means that sampling speed can not be lowered. To solve these problems, an CS-UWB channel estimation method based on devise adaptive projection matrix is proposed in this paper. Posterior probability density function controlled by hyper-parameters is set to each value in channel vector. Use its covariance matrix to compute new projection vector. The differential entropy of reconstruction value can be decreased. Experimental result shows that the proposed method can decrease the sampling speed notably compared to existing CS-UWB channel estimation method.
Gradually atom pruning for sparse reconstruction and extension to correlated sparsity

We propose a new algorithm for recovery of sparse signals from their compressively sensed samples. The proposed algorithm benefits from the strategy of gradual movement to estimate the positions of non-zero samples of sparse signal. We decompose each sample of signal into two variables, namely “value” and “detector”, by a weighted exponential function. We update these new variables using gradient descent method. Like the traditional compressed sensing algorithms, the first variable is used to solve the Least Absolute Shrinkage and Selection Operator (Lasso) problem. As a new strategy, the second variable participates in the regularization term of the Lasso (l1 norm) that gradually detects the non-zero elements. The presence of the second variable enables us to extend the corresponding vector of the first variable to matrix form. This makes possible use of the correlation matrix for a heuristic search in the case that there are correlations among the samples of signal. We compare the performance of the new algorithm with various algorithms for uncorrelated and correlated sparsity. The results indicate the efficiency of the proposed methods.