Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Relative Importance Index Method for Developing Risk Map in Oil and Gas Construction Projects

The objective of this research is to classify risk factors and their ranking in terms of their probability and impact on construction projects in the oil and gas sector, to test the relationship between the causes and effects of risk factors and then develop the risk map to facilitate the planning of risk response strategies. To achieve this objective, researchers invited practitioners and engineers who are comprising a statistically representative sample of oil and gas sector population to joining a structured questionnaire survey. A total of fifty-one (51) factors were short-listed to be made part of the questionnaire survey. The survey was conducted with 357 participants of construction project teams as a sampling of populations from all oil and gas sectors in Yemen. The relative importance index (RII) method was applied to prioritize the project risk factors. RII data were used to develop a risk map for oil and gas construction projects. Correlation coefficient and reliability tests also carried out to know the relationship between risk factors and check the validity of the research. The reliability test of the questionnaire was 0.974 for the cause of risks and 0.81 for the effects, which considered very high value. RII analysis and risk map shown the most critical risk factors effected on project success. There is a significant contribution expected from this research, especially for companies operating in the oil and gas and other organizations that plan to invest in this field, in addition to expected benefits for the governments and researchers in this field due to lack of research in this field.
Optimization of simulations of thickness layers, temperature and defect density of CIS based solar cells, with SCAPS-1D software, for photovoltaic application

In this paper, the performance of CIS Based solar cells was investigated, using a simulation program named SCAPS-1D Software (Solar Cells Capacitance Simulator). CIS cell structure is based on Cu(In, Ga), (Se,S)2; which is a semiconductor compound as an absorber layer; un-doped Zinc Oxyd (i) ZnO as a window layer, and Sulfide Cadmium CdS as a Buffer layer, with an efficiency of ƞ=15%. We studied the influence of different layers’ thickness and their defect densities, working temperature and absorber carrier density on the CIS based solar cells. The photovoltaic parameters have been calculated, and we have obtained the optimal values of every constraint cited above. As a result, we obtained a new high efficiency value of 19.71%, under air mass (AM) 1.5 and 100 mW/cm2 illumination and the area of this device was 0.15 cm2 .
The topological entropy versus level sets for interval maps

We answer affirmatively Coven’s question [PC]: Suppose f : I → I is a continuous function of the interval such that every point has at least two preimages. Is it true that the topological entropy of f is greater than or equal to log 2? 0. Introduction. The aim of this paper is to estimate the topological entropy of an interval map knowing the cardinalities of its level sets. The topological entropy as a numerical measure for the complexity of a dynamical system is deeply studied in various contexts. One direction of possible research concerns the connection between entropy and level sets for a continuous (differentiable) map. Several interesting results have already been found—see for instance [Bo], [Ly], [MP], [MS]. However, many questions remain open even for interval maps. Our goal is to show one very particular result (Theorem 3.3), the proof of which is neither immediate nor easy. The solution is based on known strong results (Theorems 1.1 and 1.3) concerning the topological entropy and symbolic dynamics. We suppose that our proof can partially explain some difficulties that we meet when similar questions are considered in other topological dynamics. Let I = [a, b] be a closed real interval and let L2(I) be the set of all continuous functions mapping I into itself that satisfy the condition (1) ∀y ∈ I: card f−1(y) ≥ 2. We show the following. Theorem 3.3. The topological entropy of f ∈ L2(I) is greater than or equal to log 2. The problem of entropy of maps from L2(I) has been stated by E. M. Coven in [PC]. The idea why the entropy of any map f from L2(I) should 2000 Mathematics Subject Classification: 37E05, 37B40.
“There Is Method to This Madness” A Qualitative Investigation of Home Medication Management by Older Adults

Objectives: This paper explores (1) the systems and processes older adults use to manage medications at home, and (2) the well-being goals of personal interest that motivate them. Methods: Qualitative interviews were conducted in the homes of 12 older adults in a small city in the Midwest United States. Interviews were analyzed using inductive template analysis. Results: The average age of older adults in this study was 74.2 years (SD = 10.5), 66.7% were women. The most prominent home medication management tools used were pill boxes, containers and vials, and medication lists. Routines were often aligned with activities of daily living such as teeth brushing and eating. Their medication management work occurred in contexts of other household members and budget constraints. Routines and practices were sometimes idiosyncratic adaptations and supported goals of maintaining control and decreasing vulnerability. Conclusion: In developing routines for home medication management, older adults developed systems and deliberate processes to make sense of their medication experiences in the context of their home environment and based on available resources.
Krüppel-Like Factor 2 Is a Gastric Cancer Suppressor and Prognostic Biomarker

Gastric cancer (GC) is a common digestive tract tumor. Due to its complex pathogenesis, current diagnostic and therapeutic effects remain unsatisfactory. Studies have shown that KLF2, as a tumor suppressor, is downregulated in many human cancers, but its relationship and role with GC remain unclear. In the present study, KLF2 mRNA levels were significantly lower in GC compared to adjacent normal tissues, as analyzed by bioinformatics and RT-qPCR, and correlated with gene mutations. Tissue microarrays combined with immunohistochemical techniques showed downregulation of KLF2 protein expression in GC tissue, which was negatively correlated with patient age, T stage, and overall survival. Further functional experiments showed that knockdown of KLF2 significantly promoted the growth, proliferation, migration, and invasion of HGC-27 and AGS GC cells. In conclusion, low KLF2 expression in GC is associated with poor patient prognosis and contributes to the malignant biological behavior of GC cells. Therefore, KLF2 may serve as a prognostic biomarker and therapeutic target in GC.
Effects of cloth face masks on physical and cognitive performance during maximal exercise testing

Abstract Wearing a cloth face mask has been shown to impair exercise performance; it is essential to understand the impact wearing a cloth face mask may have on cognitive performance. Participants completed two maximal cardiopulmonary exercise tests on a cycle ergometer (with and without a cloth face mask) with a concurrent cognitive task. Blood pressure, heart rate, oxygen saturation, perceived exertion, shortness of breath, accuracy, and reaction time were measured at rest, during each exercise stage, and following a 4-minute recovery period. The final sample included 35 adults (age = 26.1 ± 5.8 years; 12 female/23 male). Wearing a cloth face mask was associated with significant decreases in exercise duration (−2:00 ± 3:40 min, P = 0.003), peak measures of maximal oxygen uptake (−818.9 ± 473.3 mL/min, −19.0 ± 48 mL·min-1·kg-1, P < 0.001), respiratory exchange ratio (−0.04 ± 0.08, P = 0.005), minute ventilation (−36.9 ± 18 L/min), oxygen pulse (−3.9 ± 2.3, P < 0.001), heart rate (−7.9 ± 12.6 bpm, P < 0.001), oxygen saturation (−1.5 ± 2.8%, P = 0.004), and blood lactate (−1.7 ± 2.5 mmol/L, P < 0.001). While wearing a cloth face mask significantly impaired exercise performance during maximal exercise testing, cognitive performance was unaffected in this selected group of young, active adults.
State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and Big Data Analytics (BDA) significant consideration when exploring emerging research trends in different fields. The technique of bibliometric review has been extensively applied to the AI and BDA literature to map out existing scholarships. We summarise 711 bibliometric articles on AI & its sub-sets and BDA published in multiple fields to identify academic disciplines with significant research contributions. We pulled bibliometric review papers from the Scopus Q1 and Q2 journal database published between 2012 and 2022. The Scopus database returned 711 documents published in journals of different disciplines from 59 countries, averaging 17.9 citations per year. Multiple software and Database Analysers were used to investigate the data and illustrate the most active scientific bibliometric indicators such as authors and co-authors, citations, co-citations, countries, institutions, journal sources, and subject areas. The USA was the most influential nation (101 documents; 5405 citations), while China was the most productive nation (204 documents; 2371 citations). The most productive institution was Symbiosis International University, India (32 documents; 4.5%). The results reveal a substantial increase in bibliometric reviews in five clusters of disciplines: (a) Business & Management, (b) Engineering and Construction, (c) Healthcare, (d) Sustainable Operations & I4.0, and (e) Tourism and Hospitality Studies, the majority of which investigate the applications and use cases of AI and BDA to address real-world problems in the field. The keyword co-occurrence in the past bibliometric analyses indicates that BDA, AI, Machine Learning, Deep Learning, NLP, Fuzzy Logic, and Expert Systems will remain conspicuous research areas in these five diverse clusters of domain areas. Therefore, this paper summarises the bibliometric reviews on AI and BDA in the fields of Business, Engineering, Healthcare, Sustainable Operations, and Hospitality Tourism and serves as a starting point for novice and experienced researchers interested in these topics.
The Influence of Hip and Knee Joint Angles on Quadriceps Muscle-Tendon Unit Properties during Maximal Voluntary Isometric Contraction

Determining how the quadriceps femoris musculotendinous unit functions, according to hip and knee joint angles, may help with clinical decisions when prescribing knee extension exercises. We aimed to determine the effect of hip and knee joint angles on structure and neuromuscular functioning of all constituents of the quadriceps femoris and patellar tendon properties. Twenty young males were evaluated in four positions: seated and supine in both 20° and 60° of knee flexion (SIT20, SIT60, SUP20, and SUP60). Peak knee extension torque was determined during maximal voluntary isometric contraction (MVIC). Ultrasound imaging was used at rest and during MVIC to characterize quadriceps femoris muscle and tendon aponeurosis complex stiffness. We found that peak torque and neuromuscular efficiency were higher for SUP60 and SIT60 compared to SUP20 and SIT20 position. We found higher fascicle length and lower pennation angle in positions with the knee flexed at 60°. The tendon aponeurosis complex stiffness, tendon force, stiffness, stress, and Young’s modulus seemed greater in more elongated positions (60°) than in shortened positions (20°). In conclusion, clinicians should consider positioning at 60° of knee flexion rather than 20°, regardless if seated or supine, during rehabilitation to load the musculotendinous unit enough to stimulate a cellular response.
Persistent flocks of diverse motile bacteria in long-term incubations of electron-conducting cable bacteria, Candidatus Electronema aureum

Cable bacteria are centimeters-long filamentous bacteria that oxidize sulfide in anoxic sediment layers and reduce oxygen at the oxic-anoxic interface, connecting these reactions via electron transport. The ubiquitous cable bacteria have a major impact on sediment geochemistry and microbial communities. This includes diverse bacteria swimming around cable bacteria as dense flocks in the anoxic zone, where the cable bacteria act as chemotactic attractant. We hypothesized that flocking only appears when cable bacteria are highly abundant and active. We set out to discern the timing and drivers of flocking over 81 days in an enrichment culture of the freshwater cable bacterium Candidatus Electronema aureum GS by measuring sediment microprofiles of pH, oxygen, and electric potential as a proxy of cable bacteria activity. Cable bacterial relative abundance was quantified by 16S rRNA amplicon sequencing, and microscopy observations to determine presence of flocking. Flocking was always observed at some cable bacteria, irrespective of overall cable bacteria rRNA abundance, activity, or sediment pH. Diverse cell morphologies of flockers were observed, suggesting that flocking is not restricted to a specific, single bacterial associate. This, coupled with their consistent presence supports a common mechanism of interaction, likely interspecies electron transfer via electron shuttles. Flocking appears exclusively linked to the electron conducting activity of the individual cable bacteria.
Reduced reference metric for compressed stereoscopic videos

A new reduced reference objective quality metric for stereoscopic video is proposed that incorporates spatial neighbouring information from grey-level co-occurrence matrices and edge properties. Extracted colour and depth features are combined unequally to maximise the performance of the proposed metric. The performance of this metric is validated through a series of subjective tests and the average correlation 0.82 is achieved when colour to depth importance ratio is near 0.80.
Development and validation of a Systemic Sclerosis Health Literacy Scale

Background and aim Health literacy levels are strongly associated with clinical outcomes and quality of life in patients with chronic diseases, and patients with limited health literacy often require more medical care and achieve poorer clinical outcomes. Among the large number of studies on health literacy, few studies have focused on the health literacy of people with systemic sclerosis (SSc), and there is no specific tool to measure health literacy in this group. Therefore, this study plans to develop a health literacy scale for patients with SSc. Methods This study included 428 SSc patients from the outpatient and inpatient departments of the Department of Rheumatology and Immunology, the first affiliated Hospital of Anhui Medical University and the first affiliated Hospital of University of Science and Technology of China. The formulation of the scale was completed by forming the concept of health literacy of SSc patients, establishing the item pool, screening items, and evaluating reliability and validity. Classical measurement theory was used to screen items, factor analysis was used to explore the construct validity of the scale, and Cronbach's alpha coefficient was used to assess the internal consistency. Results Our study population was predominantly middle-aged women, with a male to female ratio of 1:5.7 and a mean age of 51.57 ± 10.99. A SSc Health Literacy scale with 6 dimensions and 30 items was developed. The six dimensions are clinic ability, judgment/evaluation information ability, access to information ability, social support, treatment compliance and application information ability. The Cronbach's alpha coefficient of the scale is 0.960, retest reliability is 0.898, split-half reliability is 0.953, content validity is 0.983, which has good reliability and validity. Conclusion The Systemic Sclerosis Health Literacy Scale may become a valid tool to evaluate the health literacy level of patients with SSc.
Cognitive Conformal Subaperturing FDA-MIMO Radar for Power Allocation Strategy

Recently, due to its flexible element configuration and more diverse signal processing methods, the conformal array radar has begun to attract wider attention than the conventional array radar. During development of the jamming equipment, the electromagnetic environment becomes more complex, which brings more challenges to the radar system. To overcome the variable interference environment's negative influence on moving target tracking, we propose two adaptive power allocation methods based on two criteria to improve the target tracking accuracy. First, we build the data model of the conformal subaperturing frequency diverse array with multi-input and multi-output radar and the interference signal. Moreover, the Bayesian Cramer–Rao bound (BCRB) and the signal-to-interference-plus-noise ratio (SINR) are derived and taken as the objective functions in proposed optimization problems. Based on this, we build two different power allocation optimization problems under BCRB minimization criterion and SINR maximization criterion, respectively, and two different power constraints are considered. Finally, simulation results verify the effectiveness of the proposed adaptive power allocation methods. The power allocation strategies under two criteria can obtain better tracking accuracy compared with uniform allocation, and the tracking accuracy of the adaptive power allocation method can be influenced by different power constraint conditions.
Tumor-Infiltrating Immune Cell Landscapes in the Lymph Node Metastasis of Papillary Thyroid Cancer

Regional lymph node metastasis (LNM) increases the risk of distant metastasis in papillary thyroid cancer (PTC) patients. However, it remains unclear how tumor cells in PTC patients with LNM evade immune system surveillance and proceed to colonize distant organs. Here, we comprehensively characterize the tumor-infiltrating immune cell landscape in PTC with LNM. LNM-related genes include multiple important soluble mediators such as CXCL6, IL37, MMP10, and COL11A1, along with genes involved in areas such as extracellular matrix organization and TLR regulation by endogenous ligands. In PTC without LNM, the tumor infiltration of activated dendritic cells and M0 macrophages showed increases from normal cells, but with yet greater increases and correspondingly worse prognosis in PTC with LNM. Conversely, the tumor infiltration of activated NK cells and eosinophils was decreased in PTC without LNM, as compared to normal cells, and yet further decreased in PTC with LNM, with such decreases associated with poor prognosis. We further demonstrate that mutations of driver genes in tumor cells influence the infiltration of surrounding immune cells in the tumor microenvironment (TME). Particularly, patients carrying TG mutations tend to show increased filtration of M2 macrophages and activated NK cells in the TME, whereas patients carrying HRAS mutations tend to show reduced filtration of M0 macrophages and show enhanced filtration of activated dendritic cells in the TME. These findings increase our understanding of the mechanisms of regional lymph node metastasis in PTC and its associated tumor microenvironment, potentially facilitating the development of personalized treatment regimens to combat immunotherapy failure.
Three-dimensional domain growth on the size scale of the capillary length: Effective growth exponent and comparative atomistic and mean-field simulations

The evolution of diffusively interacting nanoclusters is investigated by combined atomistic (kinetic lattice Monte Carlo method based on the nearest-neighbor Ising model) and mean-field (numerical integration of the governing reaction-diffusion equations) simulations. By expressing Monte Carlo parameters in terms of macroscopic thermodynamic quantities a well-defined interface between both methods is derived. Based on extensive Monte Carlo studies of the Gibbs-Thomson equation an explicit expression for the intrinsic capillary length is presented. Starting with high-temperature quenches, the evolution of nanoclusters is first studied by the atomistic model. The observed transient dynamics of coarsening is explained uniquely on the basis of the ratio of the capillary length to the mean cluster size. Using input data from the atomistic model, Ostwald ripening is also studied in parallel with the mean-field model. In a detailed study, the similarities and differences of both approaches are discussed and explained in terms of their statistical and deterministic natures. It is demonstrated that in contrast to the commonly applied linearized version of the Gibbs-Thomson relation in the mean-field approach only the use of the full exponential form provides a reasonable matching with the atomistic model.
Fault detection for Markovian jump systems

The paper deals with the robust fault detection problem for a class of discrete-time linear Markovian jump systems with an unknown input. By using a general observer-based fault detection filter as residual generator, the robust fault detection filter design is formulated as an H∞-filtering problem, in which the filter matrices are dependent on the system mode, i.e. the residual generator is a Markovian jump linear system as well. The main objective is to make the error between residual and fault (or, more generally, weighted fault) as small as possible. A sufficient condition to solve this problem is established in terms of the feasibility of certain linear matrix inequalities (LMI), which can be solved with the aid of Matlab LMI Toolbox. A numerical example is given to illustrate the effectiveness of the proposed techniques.
Effective Engagement Strategies for Non-Tenure-Track Faculty in Precollege Mathematics Reform in Community Colleges

The success of efforts to improve student outcomes in precollege mathematics at community colleges hinges on engaging and supporting non-tenure-track faculty [NTTF], who comprise a significant proportion of precollege instructional staff. Although research suggests weak departmental support and barriers and constraints to NTTF engagement, no studies have focused specifically on NTTF in the context of precollege mathematics reform in community colleges. This qualitative case study fills a gap in our understanding through interviews with seven tenure-track faculty [TTF] and 11 NTTF from three departments participating in the Washington State Rethinking Pre-College Mathematics grant. The case study examines the nature and effectiveness of strategies and incentives developed by TTF to engage their NTTF peers in department-led reform of precollege mathematics. Each department was successful in securing NTTF engagement across a broad spectrum, using strategies that included offering perquisites, professional development, and targeted instructional support. The NTTF detailed some changes in their practice, such as diversifying classroom instruction and approaches to assessment. Strategies that successfully initiated engagement (e.g., compensation) differed from those that sustained engagement, with the latter leveraging NTTF interest in growing professionally in order to improve student outcomes and build professional relationships with peers. Findings inform the delivery of NTTF professional development by suggesting that education and training expand beyond the delivery of new content to include relationship building with other faculty. The study's findings also consider NTTF professional development to be a shared responsibility among departments, colleges, systems, and NTTF.