Miracle-dz/UniFAR-FTUs huggingface dataset:
Module Based Floorplanning Methodology to Satisfy Voltage Island and Fixed Outline Constraints

Multiple supply voltage is the most prevalent method for low power reduction in the design of modern Integrated circuits. Floorplanning process in this design performs positioning of functional blocks in the layout satisfying both fixed outline and voltage island constraints. The floorplans while satisfying these two significant constraints causes significant rise in wirelength and congestion. In this paper, a congestion and wirelength aware floorplanning algorithm is proposed which allows effective placement of functional blocks in the layout to satisfying fixed outline and voltage island constraints simultaneously. To perform voltage island floorplanning, the proposed algorithm uses Skewed binary tree representation scheme to operate the functional blocks in its predefined voltage level. The proposed methodology determines the feasible dimensions of the functional blocks in the representation which aids the placement process for the reduction of congestion and wirelength. With these optimal dimensions of the functional blocks, floorplanning is also performed for the layouts of aspect 1:1, 2:1, and 3:1, to evaluate the ability of proposed algorithm for satisfying the fixed outline constraint. The proposed methodology is implemented in the layout of InternationalWorkshop on Logic and Synthesis (IWLS) benchmarks circuits for experimental purpose. The resulting floorplans were iteratively optimized for optimal reduction of wirelength and congestion. Experimental results show that the proposed methodology outperforms existing state-of-the-art approaches in wirelength reduction by about 18.65% and in congestion reduction by around 63%, while delivering the 30.35% power consumption.
On the Curvature Estimation for Noisy Point Cloud Data via Local Quadric Surface Fitting

This paper presents an improved method of estimating surface curvatures at any point in a noisy point cloud data via local quadric surface fitting. Accurate estimation of curvatures is of particular importance in different applications of point cloud processing. One of the widely used methods for estimating curvatures is fitting a local quadric surface to the local neighborhood of the query point and using the fitted surface for curvature calculation. The performance of this technique however depends on the selected local neighborhood (i.e., neighboring points of the point of interest) for fitting. In particular, a scanned point cloud is noisy, and the distribution of points is non-uniform. Using the previously adopted neighborhood selection methods results in unbalanced local neighborhoods, therefore erroneous fitted surfaces and estimated curvatures. In this work, the utilization of Territory Claiming (TC) algorithm is proposed for selecting the neighboring points. Using TC, balanced local neighborhoods can be established, which contribute to more accurate estimation of surface curvatures. To evaluate the effectiveness of the proposed method, case studies have been performed on synthetic and scanned point cloud data. The principal curvatures estimated by the proposed method have been compared to the ones estimated from the quadric surface fitted over the other available neighborhoods, namely k-nearest neighbors (k-NN), mesh neighbors, and elliptic Gabriel graph (EGG) neighbors. The results demonstrate the superiority of the proposed method over other existing methods for noisy data and its robustness towards point density variation.
The use of rush deliveries in periodic review assemble-to-order systems

We calculate optimal safety stock in a periodic review (T,S) assemble-to-order system having multiple components and multiple finished goods (FGs). Customer orders for FGs arrive according to independent Poisson processes, and cannot be neither backlogged nor lost. In case of potential component stock-out, the studied system uses rush deliveries from suppliers. For this setting, approximate expressions of the optimal safety stock that minimise the sum of inventory holding and rush ordering costs are developed. Exact optimal safety stocks are calculated using Discrete Event Simulation, and compared numerically to the approximate expressions. The model is applied to a first-tier automotive supplier and yields to a significant reduction in terms of inventory holding and rush ordering costs. A sensitivity analysis on relevant system parameters such as components demand, assembly coefficients and unit rush ordering cost is conducted.
The Effect of long-term awareness on active and passive tobacco smokers

Tobacco addiction is a major public health problem. Numerous scientific studies have been conducted on the harms of tobacco products. However, the number of intervention studies investigating the effect of long-term awareness of the harm of tobacco products on the Fagerström Test for Nicotine Dependence (FTND), Carbon Monoxide (CO), Carboxyhemoglobin (COHb) and Respiratory Function Test (RFT) are limited. Our goal is to investigate the impact of long-term scientific awareness on these parameters. The study was designed an intervention study on active and passive smoking participants and their control groups. Control groups were not given any training on the harms of tobacco products. When comparing the first and last weeks in active smoker intervention group (ASIG), the difference between FTND, FEV1, CO, and COHb parameters was observed to be statistically significant (p<0.05). The highest decrease in ASIG was in CO (↓60%) parameter and the highest increase was in the FEV1(↑%10) parameter. There was a significant difference both FEV1, FVC, FEV1/FVC (p<0.05) and CO parameters of passive smokers intervention group (PSIG). The highest decrease in PSIG was in the CO parameter (↓%65.8) and the highest increase was in the FVC (↑%10) parameter. Awareness programs may reduce the severity of addiction in active smokers and may help protect passive smokers. As awareness increases, positive changes in some vital parameters may be possible. Up-to-date programs and policies are needed to make easy and sustainable awareness of both active and passive smoking.
Numerical and Experimental To Evaluate Of Supply Chain Performance Measurement Dairy Industries via Using Fuzzy Analytical Hierarchical Process and Fuzzy Logic

With the modern orientation of companies which concentrates mainly on customer, globalizations, and high competition position, this caused the supply chain members must be under high pressure to manage and control their effectiveness. So measuring of supply chain performance in such circumstances can be considered as a crucial effect and it is implemented in this paper. This research aims to estimate supply chain performance measurement based on Fuzzy Analytical Hierarchical Process. In real application, the performance of organization estimated based on different factors and these factors vary in impact on performance depending upon policies and strategies of organization. The importance of each factor was identified by applying Fuzzy Analytical Hierarchical Process technique. Two phases fuzzy logic rule were applied, the first phase i.e. fuzzy inference system was used to identify performance indicator of each factor by using its value and importance. The second phase was started by using second fuzzy inference system to identify supply chain performance measurement by integration of all factor indicators which obtained from first inference rule. The developed approach provides an effective tool for evaluation of supply chain performance measurement and real case study was presented in dairy industries.
Automated Cumulative Update Approach for Organizations

Software patch management in one of the most important and critical aspect from business perspective in organizations of all sizes. It is associated with the financial and risk management perspective of the organization. Patch management is very crucial to safeguard the software products from security vulnerabilities. There is a need for an effective patch management model that could be deployed in the organizations. The patch object fetching and software documentation process is a manual process prone to many errors. This study aims at providing an end-to-end automation model for cumulative updates of various software products. This ensures timely release of bug fixes as patches and a good customer experience.
RUNX3 Suppresses Gastric Epithelial Cell Growth by Inducing p21 Expression in Cooperation with Transforming Growth Factor (cid:2) -Activated SMAD

RUNX3 has been suggested to be a tumor suppressor of gastric cancer. The gastric mucosa of the Runx3 -null mouse develops hyperplasia due to enhanced proliferation and suppressed apoptosis accompanied by a decreased sensitivity to transforming growth factor (cid:1) 1 (TGF- (cid:1) 1). It is known that TGF- (cid:1) 1 induces cell growth arrest by activating CDKN1A ( p21 WAF1 / Cip1 ), which encodes a cyclin-dependent kinase inhibitor, and this signaling cascade is considered to be a tumor suppressor pathway. However, the lineage-speciﬁc transcription factor that cooperates with SMADs to induce p21 expression is not known. Here we show that RUNX3 is required for the TGF- (cid:1) -dependent induction of p21 expression in stomach epithelial cells. Overexpression of RUNX3 potentiates TGF- (cid:1) -dependent endogenous p21 induction. In cooperation with SMADs, RUNX3 synergistically activates the p21 promoter. In contrast, RUNX3 - R122C , a mutation identiﬁed in a gastric cancer patient, abolished the ability to activate the p21 promoter or cooperate with SMADs. Furthermore, areas in mouse and human gastric epithelium where RUNX3 is expressed coincided with those where p21 is expressed. Our results suggest that at least part of the tumor suppressor activity of RUNX3 is associated with its ability to induce p21 expression.
Addressing within complex interventions: A protocol of a scoping of

Intervention fidelity is crucial to facilitate accurate interpretation of research outcomes, but has been inadequately addressed within complex health behaviour change interventions. Recent research has highlighted a need for practical guidance to improve understanding and use of existing fidelity frameworks and models within complex health behaviour change intervention research. The aim of this paper is to present a protocol for a scoping review of existing intervention fidelity frameworks and models. In accordance with scoping review guidelines, the following stages will be conducted: (1) identifying the research question, (2) identifying potentially relevant studies of fidelity frameworks and models, (3) study screening and selection, (4) charting and extracting data from identified frameworks and models, (5) collating, summarising and reporting the results and (6) consultation with stakeholders. Two reviewers will independently conduct the screening and extraction stages. Identified frameworks will be collated, summarized and categorized iteratively by one reviewer in consultation with the review team. The findings of this review will provide a useful resource by identifying and comparing existing fidelity frameworks and models. It is intended that increased clarity and understanding in this area will facilitate the appropriate selection and application of fidelity frameworks for complex health behaviour change interventions, inform areas for future
Thermal Analysis of a Cracked Half-plane under Moving Point Heat Source

The heat conduction in half-plane with an insulated crack subjected to moving point heat source is investigated. The analytical solution and the numerical means are combined to analyze the transient temperature distribution of a cracked half-plane under moving point heat source. The transient temperature distribution of the half plane structure under moving point heat source is obtained by the moving coordinate method firstly, then the heat conduction equation with thermal boundary of an insulated crack face is changed to singular integral equation by applying Fourier transforms and solved by the numerical method. The numerical examples of the temperature distribution on the cracked half-plane structure under moving point heat source are presented and discussed in detail.
A new species of the genus Stenocercus (Iguania: Tropiduridae) from the Peruvian Pacific coast (Ica region)

A new species of the genus Stenocercus is described from the Peruvian coastal desert in the Ica region. The new species is similar in ecology and morphology to Stenocercus modestus , but differs from it in lacking an oblique neck fold, a distinct patch of small scales posterior to the lateral region of the neck, and bright yellow lateral dots on the head and body in males. The new species also has more subdigital lamellae on the fourth toe than S. modestus , and females exhibit a wide dark stripe between the subocular and antehumeral regions, as well as dark reticulations in the gular region. Distribution models of the new species and S. modestus suggest no geographical overlap. In conclusion, morphology and species distribution models strongly imply the new Stenocercus species to be an undescribed lineage and different from all other species of the genus. This new species is the most southerly distributed Stenocercus in the Pacific coastal desert of Peru thus far. We propose the new species be classified as ‘Endangered’ based on its area of occupancy and threat-defined locations. peruano en el Departamento de Ica. La nueva especie es similar en ecología y morfología a Stenocercus modestus , pero difiere al carecer de un pliegue oblicuo en el cuello, un parche visible de pequeñas escamas posteriores a la región lateral del cuello y puntos amarillos brillantes sobre la cabeza y el cuerpo en los machos. La nueva especie también tiene un mayor número de lamelas subdigitales en el cuarto dedo de la pata posterior que S. modestus , y las hembras muestran una ancha franja oscura entre la región subocular y antehumeral, así como reticulaciones oscuras en la región gular. Los modelos de distribución de la nueva especie y S. modestus no muestran superposición en sus distribuciones potenciales. En conclusión, la morfología y los modelos de distribución de especies sugieren fuertemente que la nueva especie de Stenocercus es un linaje no descrito y diferente de otras especies del género. La nueva especie es el registro más sureño de su género en el desierto costero del pacifico en Perú. Así mismo, recomendamos que se clasifique como En peligro basado en el área de ocupación y localidades con amenazas. Palabras clave. Squamata, desierto costero, modelo de distribución, taxonomía.
Deep neural networks for high harmonic spectroscopy in solids

Neural networks are a prominent tool for identifying and modeling complex patterns, which are otherwise hard to detect and analyse. While machine learning and neural networks have been finding applications across many areas of science and technology, their use in decoding ultrafast dynamics of quantum systems driven by strong laser fields has been limited so far. Here we use deep neural networks to analyze spectra of highly nonlinear optical response of a crystal to intense few-cycle laser pulses. We construct a deep neural network that can efficiently utilize such spectra to resolve both the complex spectral phase of ultrashort laser pulses and simultaneously reconstruct the band structure of the crystal. Our results offer a new tool for attosecond spectroscopy of quantum dynamics and also open a route to developing all-solid-state devices for complete characterization of few-cycle pulses, including their nonlinear chirp and the carrier envelope phase.
Effect of SinR Transcriptional Factor on the Expression of Bacilysin Biosynthetic Operon in Bacillus subtilis

— In Bacillus subtilis , bacilysin is a nonribosomally synthesized dipeptide antibiotic composed of L-alanine and L-anticapsin. It is active against a wide range of bacteria and even Candida albicans . The biosynthesis of bacilysin depends on the bacABCDEywfG operon ( bac operon) and the adjacent monocistronic gene ywfH . In our previous study, lutR mutation significantly decreased the maximum transcription level of the bacABCDEywfG operon at the onset of stationary phase to about 57% of wild-type level. In this study, we aimed to test the possible effect of global regulator SinR on the expression of the bac operon. For this sinR gene was disrupted in the transcriptional bacA-lacZ fusion bearing strain (OGU1) to generate “ sinR::cm bacA::lacZ::erm ” bearing strain (OGU1SR) . Additionally, we also test whether sinR and lutR gene products affect the bac operon expression mutually due to the close regulatory interactions between LutR and SinR transcriptional factors . For this, ΔsinR-ΔlutR double mutant ( sinR ::cm lutR::Tn10::spc bacA::lacZ::erm) strain (OGU1SRLR) was constructed. Finally, all of that resulting strains and OGU1 were grown in Perry and Abraham (PA) medium at 37 o C and β–galactosidase activities were measured throughout the different stages of growth. β–galactosidase assay results indicated that in the absence of sinR gene product bac operon expression was severely effected. Since, disruption of sinR gene resulted with complete loss of transition state dependent induction of bac operon expression while almost the same bacA -expression profile as the single sinR mutant was detected in the sinR-lutR double mutant.
Autophagy Is Activated by TGF- β and Potentiates TGF- β – Mediated Growth Inhibition in Human Hepatocellular Carcinoma Cells

Transforming growth factor- β (TGF- β ) is a multifunctional cytokine that regulates cell growth, differentiation, and apoptosis of various types of cells. Autophagy is emerging as a critical response of normal and cancer cells to environmental changes, but the relationship between TGF- β signaling and autophagy has been poorly understood. Here, we showed that TGF- β activates autophagy in human hepatocellular carcinoma cell lines. TGF- β induced accumulation of autophagosomes and conversion of microtubule-associated protein 1 light chain 3 and enhanced the degradation rate of long-lived proteins. TGF- β increased the mRNA expression levels of BECLIN1, ATG5, ATG7, and death-associated protein kinase (DAPK). Knockdown of Smad2/3, Smad4, or DAPK, or inhibition of c-Jun NH 2 -terminal kinase, attenuated TGF- β – induced autophagy, indicating the involvement of both Smad and non-Smad pathway(s). TGF- β activated autophagy earlier than execution of apoptosis (6-12 versus 48 h), and reduction of autophagy genes by small interfering RNA attenuated TGF- β – mediated growth inhibition and induction of proapoptotic genes Bim and Bmf, suggesting the contribution of autophagy pathway to the growth-inhibitory effect of TGF- β . Additionally, TGF- β also induced autophagy in some mammary carcinoma cells, including MDA-MB-231 cells. These findings show that TGF- β signaling pathway activates autophagy in certain human cancer cells and that induction of autophagy is a novel aspect of biological functions of TGF- β . [Cancer Res 2009;69(23): anti – poly(ADP-ribose) polymerase (Cell
Characterization oftccP2 carried by atypical enteropathogenic Escherichiacoli

Atypical enteropathogenic Escherichia coli (EPEC) comprise an important group of paediatric pathogens. Atypical EPEC have reservoirs in farm and domestic animals where they can be either commensal or pathogenic; serogroup O26 is dominant in humans and animals. Central to intestinal colonization by EPEC is the translocation of the type III secretion system effector Tir into enterocytes, which following phosphorylation (Tir-Yp) recruits Nck to activate the N-WASP actin signalling cascade. The authors have recently shown that typical EPEC strains, belonging to the EPEC-2 lineage, carry a tir gene encoding Tir-Yp and can also use the alternative TccP2 actin-signalling cascade. The aim of this study was to determine if tccP2 is found in atypical EPEC isolated from human and farm animals. tccP2 was found at a frequency of 41% in non-O26 EPEC isolates and in 82.3% of the O26 strains. TccP2 of human and animal strains show high level of sequence identity. It is shown that most strains carry a tir gene encoding Tir-Yp. In addition the authors identiﬁed two new variants of tir genes in EPEC O104:H12 and NT:H19 strains.
Can robotic solutions favor the Ageing Well of the elderly with loss of autonomy?

: The goal of this paper is to study the perceived benefits of robots in terms of Aging Well for the elderly with loss of autonomy. Through a qualitative study, conducted as part of a cocreation process, a needs analysis is carried out in order to translate the needs expressed into robotic functions. The results make it possible to prioritize the functionalities to be implemented and to guide more generally the technological development of robotic solutions by setting up co-creation meetings. The approach did not take into account the barriers to adoption and possible aspects of destroying value for all stakeholders involved. These could be overcome by defining appropriate services management for the elderly as part of the implementation of a successful ageing marketing.
Antibody-Based Approaches to Target Pancreatic Tumours

Pancreatic cancer is an aggressive cancer with a dismal prognosis. This is due to the difficulty to detect the disease at an early and curable stage. In addition, only limited treatment options are available, and they are confronted by mechanisms of resistance. Monoclonal antibody (mAb) molecules are highly specific biologics that can be directly used as a blocking agent or modified to deliver a drug payload depending on the desired outcome. They are widely used to target extracellular proteins, but they can also be employed to inhibit intracellular proteins, such as oncoproteins. While mAbs are a class of therapeutics that have been successfully employed to treat many cancers, they have shown only limited efficacy in pancreatic cancer as a monotherapy so far. In this review, we will discuss the challenges, opportunities and hopes to use mAbs for pancreatic cancer treatment, diagnostics and imagery.
Developing a Smartphone Application That Promotes Responsible Short-Acting Beta2-Agonist Use in People with Asthma: A Participatory Design

Around 339 million people worldwide have asthma, and 50% have uncontrolled asthma. One trait of uncontrolled asthma, often seen in primary care, is short-acting β2-agonist (SABA) overuse, defined as using SABA more than twice a week. SABA overuse can cause adverse health effects. An application could help patients gain more insight into their SABA use. Engaging stakeholders during the development is important to maximize the usability of and adherence to an application. This study describes the development process of an application that promotes responsible SABA use in people with asthma, using a participatory design. Different stakeholder groups were involved in two iterative development cycles. In the first cycle, four end-users evaluated the app’s prototype. During the second cycle, five end-users were interviewed about the usability of the new version. Resulting in an app that allows patients to register SABA use, asthma symptoms, and symptom triggers. A graph shows how these factors are related, and end-users can show the graph to their physician to facilitate communication. Medication use is compared to the medical guidelines or, when applicable, to the advice given by the users’ healthcare professionals. End-users found the app helpful. Research into the usability and effectiveness of the app in a bigger sample will follow.