Miracle-dz/UniFAR-FTUs huggingface dataset:
Validation of NASA rotor 67 with openFOAM's transonic density-based solver

Dissertacao para obtencao do Grau de Mestre em Engenharia Mecânica%%%%A transonic density based solver implemented in OpenFOAM is shown to be robust and presents consistent results, when simulating three dimensional viscid ows in a low pressure compressor. Towards the validation of the code above, the NASA Rotor 67 geometry has been tested in di erent mesh levels, with and without tip-gap, with grid independence being suggested. It is used an odd approach in turbomachinery, to compare experimental with numerical data: BIAS, Root Mean Square Error and Concordance Index compare results in pitch-wise and stream-wise directions, provided a linear interpolation to correct all data. Several Riemann problems are simulated to test the shock resolution and entropy conditions due to the transonic nature of the Rotor 67 ow. Finally, a full compressor stage is assembled with the Mixing Plane method and a solution to the multi-row problem is achieved, increasing the reliability of OpenFOAM libraries.
Optimization and Effective analysis of Full Adder Circuit Design in 45nm Technology

— In this paper work, a new XOR logic gate and multiplexer logic has been proposed. Proposed design shows acceptable output logic levels with noise margin of 0.5V with 1.0V as input signals in 45nm technology. A full adder design for single bit has been implemented using proposed XOR gate, pass transistor logic multiplexer. The full adder designed with 12 transistors shows power dissipation of 7.74nW and maximum output delay 59.74nS. This circuit works with well reduced supply and simulations have been carried out for 0.8V, 1.0V & 1.2V supply voltage in the step of 0.2V. Simulations are performed by using CADENCE based on gpdk45 library CMOS technology. Simulation result provides the advantage of the newly designed adder circuit against the conventional adder circuits. Consumption of power for proposed full adder has been compared with earlier reported full adder circuits, this proposed design circuit gives better performance in terms of power consumption, speed and transistor count.
Seasonal Changes in Birth Weight in a Semi Urban Community in the Gambia: A 4 Year Retrospective Study and Lessons for the Future

Objective: Birth weights are determined by several factors, including seasonal changes in host behavior, environmental and maternal factors. Human birth seasonality can impact on the pattern of diseases and demand on the health system. The objective of this retrospective study was to review the pattern of birth weight of babies born in a community health centre over a period of four years. Materials and Methods: A four year retrospective study of live singleton births at Fajikunda Health centre from 2007 to 2010. Data that included birth weight, gender, age and parity of mother were obtained from the records of the health centre. Statistical analyses were done using random effects model. Results: There were 8521 live singletons births over the four years, 4402 (51.7%) males and 4119 (48.3%) females. The proportion of low birth weight (<2500 g) in the population was less than 5% of the total singleton births per year. Strong evidence of monthly variation in birth weight was found after adjusting for year, parity, gender, mother`s age and date of birth (month/ year) specific error terms (p<0.0001). Birth weight was higher from May to September and reached peak in May to July. The average birth weight declined progressively over the four years (p<0.001): from 2007 to 2008 (p=0.99), 2008 to 2009 (p=0.03) and from 2009 to 2010 (p=0.06). Birth weight increased by 127.3 (95% CI: 107.2; 147.6) g per unit increase in parity up to the 5 th and the decreased (p<0.0001). Average birth weight of female babies was 114.1 (93.3; 135.0) g lower than the males (p<0.0001). Mother’s age was not associated with birth weight. Conclusion: We have observed a progressive decline of birth weight with a striking seasonal variation in The Gambia. Further understanding of the reasons behind these changes is required to guide programmes and interventions.
of africana type from the Lake in the East African Rift.

Spirochaetaceae , GEBA. Spirochaeta africana Zhilina et al . 1996 is an anaerobic, aerotolerant, spiral-shaped bacterium that is motile via periplasmic flagella. The type strain of the species, Z-7692 T , was isolated in 1993 or earlier from a bacterial bloom in the brine under the trona layer in a shallow lagoon of the alkaline equatorial Lake Magadi in Kenya. Here we describe the features of this organism, together with the complete genome sequence, and annotation. Considering the pending reclassification of S. caldaria to the genus Treponema , S. africana is only the second 'true' member of the genus Spirochaeta with a genome-sequenced type strain to be published. The 3,285,855 bp long genome of strain Z-7692 T with its 2,817 protein-coding and 57 RNA genes is a part of the G enomic E ncyclopedia of B acteria and A rchaea project.
AcetylationGene Is Positively Regulated by Histone Lymphoid Transcription of the Murine CD21

Intronic transcriptional control sequences inﬂuence the cell- and tissue-speciﬁc expression of the CD21 gene. The interactions of such intronic control sequences, which are physically separated from the gene’s promoters, suggest that factors that alter chromatin structure might be inﬂuential in this process. Accordingly, we analyzed the effect of histone acetylation on the expression of CD21 in nonexpressing T and B lymphocytes, respectively. The acetylase inhibitors sodium butyrate and trichostatin A were used to create hyperacetylated histones. The CD21 gene was speciﬁcally activated in the previously transcriptionally quiescent cells in a time- and dose-dependent fashion: the expression of a number of other genes was not inﬂuenced. These data suggest a model of cell-type-speciﬁc deacetylase activity that serves to repress gene transcription when present and active. The Journal of Immunology, 1999, 163: 2697–2703.
Penentuan Tingkat Kesenjangan Wilayah dan Faktor Penyebab Terjadinya Kesenjangan di Kabupaten Gresik

Kota Surabaya merupakan salah satu kota yang memiliki perkembangan pesat dan berdampak pada wilayah yang berbatasan langsung dengan Kota Surabaya, salah satunya adalah Kabupaten Gresik. Perkembangan wilayah Kabupaten Gresik dipengaruhi oleh aktivitas dari kota inti yaitu Surabaya. Gejala pergeseran perkembangan Kota Surabaya ke wilayah Kabupaten Gresik tersebut dapat merubah karakteristik wilayah di Kabupaten Gresik dan menyebabkan salah satu permasalahan yaitu kesenjangan wilayah. Kesenjangan yang terjadi di wilayah tersebut meliputi kesenjangan pada aspek ekonomi antar kecamatan, aspek sosial, distribusi pendapatan dan akses masyarakat terhadap infrastruktur. Penelitian ini bertujuan untuk menganalisis tingkat kesenjangan yang terjadi serta faktor-faktor yang berpotensi menyebabkan terjadinya kesenjangan wilayah antar kecamatan di Kabupaten Gresik berdasarkan aspek ekonomi dan sosial. Perhitungan tingkat kesenjangan tersebut yang kemudian dijadikan dasar dalam perumusan tipologi wilayah berdasarkan tingkat kesenjangan yang akan mempermudah dalam perumusan kebijakan penanganan tingkat kesenjangan sesuai dengan faktor penyebab kesenjangan yang ditemukan. Analisis yang digunakan dalam penelitian ini adalah perhitungan Indeks Williamson sebagai rumus perhitungan kesenjangan wilayah. Adapun analisis kedua yaitu analisis korelasi menggunakan software SPSS untuk mengetahui faktor apa saja yang berpotensi menyebabkan kesenjangan di Kabupaten Gresik. Berdasarkan hasil analisis yang dilakukan dalam penelitian, terdapat 2 kecamatan yang termasuk kedalam tipologi wilayah dengan kesenjangan tinggi, 5 kecamatan yang termasuk kedalam tipologi wilayah dengan kesenjangan sedang dan 9 kecamatan yang termasuk tipologi wilayah dengan kesenjangan rendah. Faktor yang mempengaruhi terjadinya kesenjangan wilayah yang terjadi pada tiap kecamatan di Kabupaten Gresik adalah PDRB perkapita, kontribusi sektor industri tehadap PDRB, jumlah tenaga kerja industri, jumlah tenaga kerja pertanian, panjang jalan aspal, jumlah penduduk SMA, jumlah penduduk datang, jumlah fasilitas SMP, jumlah fasilitas rumah sakit dan jumlah fasilitas puskesmas.
Circulating tumor DNA reflects tumor metabolism rather than tumor burden in chemotherapy-naïve patients with advanced non-small cell lung cancer (NSCLC): an 18F-FDG PET/CT study

We aimed to evaluate the relationship between Circulating tumor Cells (CTCs) and plasma Cell-free DNA (cfDNA) on one side and a comprehensive range of 18F-fluorodeoxyglucose (FDG)-PET/CT-derived parameters on the other side in chemotherapy-naïve patients with advanced NSCLC. Methods: Among the seventy-nine patients included in the VeriStrat® trial, evaluating the role of pretreatment circulating tumor markers as predictors of prognosis in chemotherapy-naïve patients with advanced NSCLC, we recruited all subjects submitted to FDG-PET/CT for clinical reasons at our institution before the inclusion in the trial (and thus just before chemotherapy). For each patient a peripheral blood sample was collected at baseline for the evaluation of CTCs and cfDNA. CTCs were isolated by size using a filtration-based device and then morphologically identified and enumerated; cfDNA was isolated from plasma and quantified by a qPCR method using human telomerase reverse transcriptase (hTERT). The following FDG-PET/CT-derived parameters were computed: maximum diameter (dmax) of the primary lesion (T), of the greater lymph node (N) and of the greater metastatic (M) lesion; SUVmax, SUVmean, size-incorporated SUVmax (SIMaxSUV), Metabolic Tumor Volume, Total Lesion Glycolysis. All parameters were independently measured for T, N and M. The associations among CTCs, cfDNA and FDG-PET/CT derived parameters were evaluated by multivariate-analysis. Patients were divided in two groups according to the presence of either limited metastatic involvements (M1a or M1b due to extra-thoracic lymph nodes, M1b Lympho ) or disseminated metastatic disease (M1b Disseminated ). Presence (B+) or absence (B-) of metabolically-active bone lesions was also recorded for each patient and patients’ subgroups were compared. Results: Thirty-seven patients recruited in the VeriStrat® trial matched our PET-based criteria (24 males; age 64.5 ± 8.1 years). M-SUVmax was the only variable independently associated with baseline cfDNA levels (p=0.016). Higher levels of cfDNA were detected in the subgroup of patients with metabolically active bone lesions (p=0.02) while no difference was highlighted when comparing patients with more limited metastatic disease with patients with M1b Disseminated . Conclusions: The correlation of cfDNA amount with tumor metabolism, but not with metabolic tumor volume at regional or distant levels, suggests that cfDNA might better reflect tumor biological behavior/aggressiveness rather than tumor burden in metastatic NSCLC.
Impact of Elicitation Techniques on Requirement Validation in Software Industry in Pakistan

- In Requirement Engineering (RE), requirements are collected and formalized from all the stakeholders using various elicitation techniques. Afterwards, these requirements are validated at the validation phase before the actual design and development phases can initiate. At the validation stage of RE, requirement specifications are tailored to ensure that the requirements are correct, consistent, complete, and unambiguous. To achieve these objectives, the RE team should select the most suitable elicitation technique during the RE elicitation process. In Pakistan software industry, these techniques include interviews, prototyping, questionnaires, and observations. From literature, it is observed that most of the IT firms do not hire specialized RE teams for requirement gathering; instead, the requirements are collected mostly by the development team. Therefore, the primary motivation of this article is to provide a guideline for IT firms and software industry in Pakistan to select the right type of elicitation techniques for requirement gathering. This article presents the results of a comprehensive survey to evaluate the impact of elicitation techniques on requirement validation process in Pakistan software industry. We distributed a questionnaire to several IT firms across the country, and collected important data corresponding to their procedures of requirement gathering. We focused on the individuals responsible for RE processes, and our main conclusion is that requirements are mostly gathered by developers rather than specialized RE teams. Our results also show that prototyping is the most effective elicitation technique for mobile development, whereas interviews are preferred in case of Web & Desktop applications.
Research on Multi-Sensor Fusion of Layered Intelligent System for Indoor Mobile Robot

as the demand for smart home grows, robot manufacturers develop new indoor mobile robots, which allow for intelligent and high accuracy of the robot system. However, there is not such a standard system. In order to solve the above problems, this work focuses on the main problems of multilayer intelligent system on the indoor mobile robot: the recognition of voice information with semantic understanding and coordinate matching, which guiding the robot through the internal positioning and navigation algorithm to reach the matching coordinates. The proposed Multi-sensor fusion of layered intelligent system integrates different modules where each module encapsulates a number of related algorithms responsible for robot control in human-robot collaboration, such as the AMCL locating algorithm. The goal is to extract high-level voice information from human-robot conversions and control the robot to the target point. The system consists of several modules as sensor fusion, speech recognition, semantic understanding, coordinate matching, map construction, robot positioning, path planning and feedback processing. The general architecture and main approaches are presented as well as the future developments planned. Keywords-multi-sensor fusion; layered intelligent system; indoor mobile robot; several modules
Alterations in the Composition of the Gut Microbiota in Celiac Disease, Non-Coeliac Gluten Sensitivity and Irritable Bowel Syndrome

Background and aims: Some chronic intestinal disorders, including irritable bowel syndrome (IBS), coeliac disease (CD), and non-coeliac gluten sensitivity (NCGS), can make some changes to the gut microbiota composition and cause dysbiosis. This study aimed to determine the gut microbiota alterations in CD, NCGS, and IBS patients among the Iranian population compared to healthy controls.Materials and Methods: In this prospective study, 72 patients, including 15 healthy controls (HC), 30 IBS, 12 NCGS, and 15 CD patients were included. IBS, CD, and NCGS were diagnosed based on the Rome IV diagnostic criteria, Modified Marsh classification, and gluten challenge test. Stool samples were collected from patients, and after DNA extraction, quantitative real-time PCR (qPCR) was performed for assessing the relative abundance of Firmicutes, Bacteroidetes, Bifidobacterium spp. , and Lactobacillus spp. Results: Firmicutes and Lactobacillus spp. were the most and the least abundant phylum in all samples, respectively. In CD patients, Firmicutes phylum was the most significant relative abundance. Bacteroidetes phylum had a significant relative abundance in CD (P<0.01) and NCGS (P<0.05) patients. The relative abundance of Bifidobacterium spp. was statistically lower in CD (P<0.05) and IBS patients (P<0.001) compared to the HCs. The Firmicutes to Bacteroidetes ratio was statistically significant in NCGS and CD patients compared to the HCs (P = 0.05). Conclusion: Chronic intestinal diseases, including IBS, CD, and NCGS, can alter the gut microbiota composition.
High-efficiency neutral-point-clamped transformerless MOSFET inverter for photovoltaic applications

Here, a highly efficient MOSFET neutral-point-clamped (M-NPC) transformerless inverter is proposed for photovoltaic (PV) applications. By employing super-junction metal-oxide-semiconductor field-effect transistor (SJ-MOSFET) as well as silicon carbide (SiC) diodes, high efficiency is achieved. Furthermore, the common-mode voltage (CMV) is completely clamped at half of the input voltage with clamping branch. Therefore, leakage current is eliminated. The performances of different topologies, in terms of CMV, leakage current, total harmonic distortion (THD), losses, and efficiency, are compared with the proposed M-NPC topology. The analyses are carried out theoretically via MATLAB/Simulink, and further validated with experimental tests. The experimental results show maximum efficiency of 98.5% and European efficiency of 97.65%.
Task-Level Resilience: Checkpointing vs. Supervision

With the advent of exascale computing, issues such as application irregularity and permanent hardware failure are growing in importance. Irregularity is often addressed by task-based parallel programming implemented with work stealing. At the task level, resilience can be provided by two principal approaches, namely checkpointing and supervision. For both, particular algorithms have been worked out recently. They perform local recovery and continue the program execution on a reduced set of resources. The checkpointing algorithms regularly save task descriptors explicitly, while the supervision algorithms exploit their natural duplication during work stealing and may be coupled with steal tracking to minimize the number of task re-executions. Thus far, the two groups of algorithms have been targeted at diﬀerent task models: checkpointing algorithms at dynamic independent tasks, and supervision algorithms at nested fork-join programs. This paper transfers the most advanced supervision algorithm to the dynamic independent tasks model, thus enabling a comparison between checkpointing and supervision. Our comparison includes experiments, running time predictions, and simulations of job set executions. Results consistently show typical resilience overheads below 1% for both approaches. The overheads are lower for supervision in practically relevant cases, but checkpointing takes over for order millions of processes. 1
RCuA: rule classification use association data mining model for structure and unstructured data

Association and classification rule mining are important activities in the data mining domain. Incorporating the association rule discovery and classification within this domain leads to a method, called the associative classification method. Text Categorizations (TC) prevails form major problems through this domain including machine learning communities. This issue is not simple to be solved since available data has enormous dimensionality. There exist particular enormous amounts of online documents within a group of data in which each data is combined along with a particular class. Categorization refers to a structure of design from a categorized data, which categorizes past unrecognized documents as accurate as it could be. The paper proposes a novel text classification model by applying an Associative Classification (AC) model, namely, the Rule Classification use Association (RC u A), which produces an obvious text document. Additionally, the paper attempts at forming an expansion of available AC of current associative text classifiers, which cope with structure and unstructured English document assemblies. The produced model is tested through two experiments of structure and unstructured data. The first experiment is related to the UCI datasets, while the second is related to Reuters-21578 datasets. The experiment is based on utilizing various classification categorization learning algorithms (e
Buying or Browsing? Identifying Consumers’ Shopping Objectives and Their Buying Option Using Mobile App Clickstream Data

By using mobile App clickstream data, the research categorizes users by their shopping objectives based on the page content they visit. Visits are classified into four types: directed buying, hedonic buying, on going search, or knowledge building. When conducting cluster analysis, the research gets help from process mining tool to remove any irrelevant variables. The study compares the coefficients of each cluster’s purchase count likelihood and sees how each visit type differs in choosing a product. In other words, the study aims to uncover which user is likely to buy one time purchases or auto-refilling plan. Each type is driven by different motivations and varies in terms of marketing sensitivity. Identifying customer typology and its purchase count likelihood will allow marketers to segment its consumers and target them accordingly.
Time-delay systems with application to mechanical engineering process dynamics and control

— Time-delay systems with constant or variable delays can take the form of delay differential equations (DDEs) from a mathematical point of view. DDEs combine the continuous aspect of differential equations and sample features of difference equations. Such “mixed difference equations” go back to the astronomer’s three-body problem of Condorcet in 1767. R.E. Bellman & K.L. Cooke published a seminal study on DDEs in the 1960’s. Russian mathematician Komanovskii, Myshlis & Nosov (1999) developed the study of their stability and applications to the industrial problems. Mathematical software packages like Mathematica® and MATLAB® introduced solvers recently for DDEs with constant delays. DDEs are essential for modeling, forecasting, and simulation of complex real-life systems for which delays cannot be neglected. Time-delay systems are applied extensively in various domains of science and industry such as mechanical systems, electrical systems, industrial processes, and biological systems. Some delays are due to inherent properties of a system where the propagation of effects takes time. The necessity of feedback controls to stabilize a system also introduce some inevitable delays. This study introduces this modeling process and analysis using some real-life deterministic applications from mechanical engineering dynamics and control such as with the metal rolling system and machine tool chatter .
BCTT_A_305440 213..217

Department of Breast Surgery, Università di Roma La Sapienza – OspedaleSant’Andrea, Rome, Italy Introduction: Breast cancer is a heterogeneous disease. Our study focuses on a monoinstitutional series of patients affected by Hormone Responsive carcinomas (luminal A and luminal B) and aims to define an optimal Ki-67 cut-off, to correctly stratify these patients into risk classes, using the ImmunoHistoChemical (IHC) surrogates of the Molecular Subtypes, according to the St. Gallen guidelines. Methods: We analyzed 1685 patients. These patients underwent both radical and conservative surgeries with Sentinel Lymph Node Biopsy eventually followed by Axillary Dissection (AD). Furthermore, all the patients underwent adjuvant therapies according to the guidelines. A retrospective univariate analysis was performed and survival curves (Disease-Related Survival, DRS, and Disease-Free Survival, DFS) were carried out according to the following ki-67 risk classes: Low Risk (Ki-67 ≤ 14%); Intermediate Risk (Ki-67 15% ÷ 20%); High Risk (Ki-67 > 20%). Results: 14 yy DRS was 98% in LA and 85% in LB with a ki-67 cut-off of 14% (p=0.037) vs 95% (LA) and 83% (LB) with a ki-67 cut-off of 20% (p=0.003). 14yy DFS was 85% in LA and 72% in LB with a ki-67 cut-off of 14% (p=0.017) vs 83% (LA) and 66% (LB) with a ki-67 cut-off of 20% (p<0.000). Discussion: Our results confirmed that the 20% Ki-67 cut-off is more reliable in differentiating patients at low or high risk of recurrence and death, and stratifying patients eligible for adjuvant chemotherapy. Thus, despite its poor reproducibility, the identification of the most accurate ki-67 index assumes a pivotal relevance in guiding a tailored strategy among patients with this specific profile of breast cancer, as well as the molecular surrogates, in order to avoid harmful overtreatments.