Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Serum Afamin and Preptin Levels as a Potential Diagnosis Markers for Cardiovascular Patients Undergoing Catheterization

The Cardiovascular disease (CVD) is a main cause of worldwide morbidity and mortality overwhelms anyof the circulatory system disease. Therefore, The aims of presented study were to assess whether an Afamin,and Preptin levels are associated with Cardiovascular diseases; to find if there is an association betweenAfamin and preptin levels with insulin resistance in progressive of patients with cardiovascular diseasesbefore and after treatment by catheterization.A case-control study,comprised of 60 patients diagnosed as cardiovascular disease(30 male,30 female),their ages ranged between 35-65 years old, and were matched with patients age and number of male andfemale of 60 healthy control. The estimation of the levels of biochemical parameters in the patients andcontrol groups revealed a significant elevations (P <0.01) of the of Preptin (85.73±41.97 vs 41.58±23.50pg/mL), Insulin (17.53±10.94 vs 6.89±4.71 ? IU/mL), HOMA- IR (8.03 ± 4.85vs 2.39 ±0.82) in patientsbefore treatment by catheterization than the control group. But, they were significantly lower(P<0.01) inAfamin level (1.59±0.36 vs 1.95±0.26) and HOMA-? (111.42±43.88 vs 145.58±36.51 pg/mL), in patientsbefore catheterization, when compared with healthy group. Furthermore, the result showed, significantdecreases (P<0.01) of Preptin (1.94±0.33 pg/mL) Insulin(9.99±3.62 ? IU/mL), HOMA-IR (3.03 ± 1.21). Also, were shown a significant increased (P<0.01) in level of Afamin in patients groups to (1.94±0.33pg/mL) after treatment by catheterization. The result demonstrated that Afamin levels were a significantnegative correlation with preptin and HOMA-IR. On the other side the preptin levels revealed a significantpositively connected with BMI, Insulin and HOMA-IR.The conclusions of the current study for the first time revealed that circulating Afamin and Preptin levels arestrongly involved in the progress of cardiovascular diseases and could independently predict pathogenesisimprovement of the of cardiovascular disease. They were associated with atherosclerosis disease that wasconsidered one of the most important leading causes of Cardiovascular disease.
Bundled slender-body theory for elongated geometries in swimming bacteria

Size and shape of a living microorganism have been recognized as important factors for its movement through a viscous fluid. Understanding how subtle variations in cellular geometry affect the hydrodynamic forces requires solving three-dimensional (3D) Stokes equations, e.g., by resolving an object’s 2D surface in a boundary integral method. A reduction of these computational costs involves using available symmetries to simplify the boundary geometries, such as representing a slender body by its body centerline, known as the slender-body theory. Here, we extend the range of the aspect ratio that can be treated by a standard slender-body theory, by representing the body with a bundle of thin filaments that each still approximately satisfies the slender-body criteria. We show that this bundled slender-body theory can be used to determine the dependency of hydrodynamic forces on varying geometric factors of a moving object. As a direct application of this method, we study the optimized kinematics of a monotrichous bacterium that has a curved cell body and swims by rotating a helical flagellum. We show that the curvature in its cell body can play a nontrivial role in the swimming motility, depending on the chirality emerging from the cell-flagellum alignment.
Explanation of knowledge management enabler as a latent variable: A case study of SMEs in Iran

Attention to organizational knowledge is important for sustaining competitive advantage for companies. The factors that consider as knowledge management enablers are very important in process of knowledge management, because that can be affecting on knowledge creation processes. The aim of this research is to explain the knowledge management enablers in small and medium size enterprises (SMEs) of Mazandaran province industries and Mines organization using an empirical examination. To this purpose, after extensive studying about literature of knowledge management enablers and selecting standard questionnaire, research team distributed the questionnaire among managers of SMEs. The data was gathered from 300 active SMEs. The results demonstrate the proposed structural equation model have best-fitting comparison with data of real world and show the amount effects of any observed independent variables on latent independent variable (KME). Results showed variables of firm’s culture such as collaboration and trust had more effect on structural equation model (SEM) of KME and IT support is not affected as one of knowledge management enablers on SEM of SMEs. Innovation aspect of this article is considering amount of direct and indirect effects of observed variables using SEM of KME as a latent variable. Manager of small and medium size enterprises can use the structural equation to measure KME and ability of their firm in this area.
PD-L1 in Combination with CD8+TIL and HIF-1α are Promising Prognosis Predictors of Head and Neck Squamous Cell Carcinoma

Objective The aim of this study was to evaluate the prognosis effect of PD-L1 in combination with CD8+ tumor-infiltrating lymphocyte (TIL) or HIF-1α in head and neck squamous cell carcinoma (HNSCC). Methods A total of 63 patients who underwent surgical resection were included in this study. The level of PD-L1, CD8+ TIL, and HIF-1α was determined by immunohistochemical analysis. The survival of patients was evaluated by Kaplan–Meier analysis. The prognostic power of these parameters was evaluated by C-index. Results We observed that the survival of patients, who had a high level of PD-L1 in tumor cells, was significantly shorter than those who had a low level of PD-L1. However, the survival of patients who had a high level of PD-L1 in tumor microenvironment was significantly longer than patients with a low level of PD-L1 in tumor microenvironment. In addition, high level of CD8+ tumor-infiltrating lymphocyte or low level of HIF-1α level suggests a better prognosis. Moreover, we observed that PD-L1 in combination with CD8+ tumor-infiltrating lymphocyte and HIF-1α could significantly improve the prognostic effect of current TNM stage. Conclusion The results of this study suggest that the level of PD-L1, CD8+TIL, and HIF-1α are useful prognostic biomarkers for patients with HNSCC. Incorporating these biomarkers into current TNM stage of HNSCC improve the discriminatory capability of TNM stage.
Analysis Midwife Workload with Nasa-TLX Method.

Background: Results of preliminary studies conducted at the Health Community Centers in the city ofSurabaya regarding duties and responsibilities as a midwife, showed that midwives had overlapping dutiesand responsibilities because midwives did not only handle maternal and child problems as their main dutiesand functions, but midwives also carried out all activities. This is due to the limited personnel owned by theCommunity Health Centers so that it can affect the workload of midwives because in addition to exercisingtheir authority the midwife also carries out other tasks. Based on the above problems and remembering theduties and functions of midwives as maternal and child health providers, it is important to conduct researchon midwife workload analysis in carrying out their authority in the working area of Surabaya InpatientHealth Centers.Method: This study has a cross-sectional quantitative research design. In this study using 2 variables(exogenous), namely Midwife Work Performance and Midwife Performance or Productivity. In this study,the endogenous variables are the quality of midwife services in the Surabaya Inpatient Health Center. Thepopulation used in this study were all implementing midwives, who provided services in 10 inpatient healthcenters in Surabaya.Results and Analysis: Pearson correlation test results indicate there is a significant relationship betweenworkload and performance (p = 0.000) and there is a significant relationship between workload and servicequality (p = 0.000). Discussion and Conclusion: In order to avoid work fatigue, it is necessary to rearrange work shifts inaccordance with the rules and conditions of work shift provisions in maternity inpatient units, thedetermination of clear rest hours, when service hours can be accompanied by work music and additionallabor reduce workload, as well as the division of workload according to ability and routinely carry outrefreshing to reduce saturation.
Psychological Training for Entrepreneurs to Take Action

Entrepreneurship is one of the most effective means to alleviate poverty in developing countries. Effective entrepreneurship requires psychological approaches—in particular, active (i.e., agentic) approaches. We introduce an action-regulation training approach, focusing on self-regulation and active behavior in entrepreneurship as a bottom-up solution for poverty reduction. We present two different training interventions. The first focuses on enhancing personal initiative in entrepreneurs from developing countries. The second aims at boosting startup rates in these countries by enhancing participants’ entrepreneurial skills and motivation. We describe underlying theoretical assumptions, structures, and effects of both training interventions and discuss evaluation studies with randomized pretest-posttest control-group designs showing that action-regulation training is a successful means to promote entrepreneurship in developing countries.
THE APPEARANCE OF SYSTEMIC ACQUIRED RESISTANCE COMPONENTS IN SA-TREATED OR NATURALLY INFECTED VITIS PLANTS BY UNCINULA NECATOR

In the present study salicylic acid (SA) treatment and challenge by Uncinula necator (Schwein.) Burr. , significantly induced the systemic acquired resistance components in grapevine (Vitis vinifera L. cv. Sultana). Chitinase (CHV, EC 3.2.1.14) and β-1,3-glucanase (Laminarinase, EC 3.2.1.39) activities increased in SA-treated (100, 200 and 400 ppm) as well as in U. necator infected plants and the highest enzymatic activity was observed in leaves treated with 100 ppm of SA. In contrast, total protein content and accumulation of endogenous free-SA in the leaves were observed at the highest rate of 200 ppm of SA-treatment. Salicylic acid also affected photosynthetic pigments by causing decrease in chlorophyll a and b contents and increase in carotenoids content. Treatment of grapevine leaves with SA provides an attractive tool for the control of powdery mildew disease in grapevine.
CHAPTER 3 Cognitive Theory of Multimedia Learning

A fundamental hypothesis underlying research on multimedia learning is that multimedia instructional messages that are designed in light of how the human mind works are more likely to lead to meaningful learning than those that are not. The cognitive theory of multimedia learning (CTML) is based on three cognitive science principles of learning; the human information processing system includes dual channels for visual/pictorial and auditory/verbal processing (i.e., dual-channels assumption); each channel has limited capacity for processing (i.e., limited capacity assumption); and active learning entails carrying out a coordinated set of cognitive processes during learning (i.e., active processing assumption). The cognitive theory of multimedia learning specifies five cognitive processes in multimedia learning: selecting relevant words from the presented text or narration, selecting relevant imago from the presented illustrations, organizing the selected words into a coherent verbal representation, organizing selected images into a coherent pictorial representation, and integrating the pictorial and verbal represen"tations and prior knowledge. Multimedia instructional messages should be designed to prime these processes. The Case for Multimedia Learning What is the rationale for a theory of multimedia learning? People learn more deeply from words and pictures than from words alone. This assertion — which can be called the multimedia principle — underlies much of the interest in multimedia learning. For thousands of years, words have been the major format for instruction — including spoken words, and within the last few hundred years, printed words. Today, thanks to further technological advances, pictorial forms of instruction are becoming widely available, including dazzling computer-based graphics. However, simply adding pictures to words does not guarantee an improvement in learning — that is, all multimedia presentations are not equally effective. In this chapter I explore a theory aimed at understanding how
On the strength of transversely isotropic rocks

Accurate prediction of strength in rocks with distinct bedding planes requires knowledge of the bedding plane orientation relative to the load direction. Thermal softening adds complexity to the problem since it is known to have significant influence on the strength and strain localization properties of rocks. In this paper, we use a recently proposed thermoplastic constitutive model appropriate for rocks exhibiting transverse isotropy in both the elastic and plastic responses to predict their strength and strain localization properties. Recognizing that laboratory‐derived strengths can be influenced by material and geometric inhomogeneities of the rock samples, we consider both stress‐point and boundary‐value problem simulations of rock strength behavior. Both plane strain and 3D loading conditions are considered. Results of the simulations of the strength of a natural Tournemire shale and a synthetic transversely isotropic rock suggest that the mechanical model can reproduce the general U‐shaped variation of rock strength with bedding plane orientation quite well. We show that this variation could depend on many factors, including the stress loading condition (plane strain versus 3D), degree of anisotropy, temperature, shear‐induced dilation versus shear‐induced compaction, specimen imperfections, and boundary restraints.
Pembrolizumab versus paclitaxel for previously treated patients with PD-L1–positive advanced gastric or gastroesophageal junction cancer (GC): Update from the phase III KEYNOTE-061 trial.

4503 Background: KEYNOTE-061 ( NCT02370498) is a global phase 3 study of pembrolizumab vs paclitaxel as second-line therapy for GC. At the time of primary analysis (data cutoff: Oct 26, 2017), in patients with PD-L1–positive status (combined positive score [CPS] ≥1), pembrolizumab did not significantly prolong overall survival (OS) vs paclitaxel (9.1 months vs 8.3 months) but did elicit a longer duration of response (DOR) and a favorable safety profile vs paclitaxel. We present results of KEYNOTE-061 in patients with CPS ≥1, ≥5, and ≥10 after 2 additional years of follow-up (cutoff: Oct 7, 2019). Methods: Adult patients with GC that progressed after platinum + fluoropyrimidine chemotherapy were randomly assigned 1:1 to pembrolizumab 200 mg Q3W for up to 35 cycles (~2 y) or standard-dose paclitaxel. OS and progression-free survival (PFS) in the CPS ≥1 population were the primary end points. Comparisons were made using stratified log-rank tests. Results: At the time of this analysis, 366/395 patients with CPS ≥1 had died (92.6%). Pembrolizumab prolonged OS vs paclitaxel in PD-L1–positive patients (Table). No significant differences appeared between groups in PFS (Table). Objective response rate (ORR) was higher for pembrolizumab in the CPS ≥10 group, and DOR was longer with pembrolizumab using all CPS cutoffs (Table). There were fewer drug-related adverse events (AEs) with pembrolizumab than paclitaxel in the overall population (53% vs 84%). Conclusions: This long-term analysis found that second-line pembrolizumab prolonged OS among patients with PD-L1–positive GC and led to fewer drug-related AEs vs paclitaxel. Clinical trial information: NCT02370498 . [Table: see text]
Comparative home range size and habitat selection in provisioned and non-provisioned long-tailed macaques (Macaca fascicularis) in Baluran National Park, East Java, Indonesia

The effect of food provisioning on ranging patterns of long-tailed macaques (Macaca fascicularis) in non-anthropogenic areas is largely unknown, as most published studies have focused on urban macaques. In this study, we quantified habitat selection, daily path length and home range size in long-tailed macaques in Baluran National Park, East Java, Indonesia, comparing a non-provisioned to a provisioned group. To track the groups, we deployed six GPS-collars on females in both groups, of which only two collected data. Home range size (90% Auto-correlated Kernel Density Estimate) was 23 times smaller for the provisioned group (10.62 ha) than the non-provisioned group (249.90 ha). Home range size and area changed from dry to wet season for the non-provisioned group. Provisioned group home range size correlated negatively with number of visitors in the national park. Daily path length was significantly higher for the non-provisioned group. The provisioned group preferred settlements, where most of the provisioning occurred, and avoided areas with invasive acacia (Acacia nilotica). The non-provisioned group also avoided invasive acacia, preferred secondary forest in the dry season and restored savannah in the wet season. Food provisioning can affect macaque spatial ecology, by shaping daily travel length and home range size, and changing patterns of habitat selection. Even tourism in a managed national park, where provisioning is strictly prohibited although not always enforced, has significant consequences for animal behaviour and their natural ecosystems.
The relevance of leadership styles and Islamic work ethics in managerial effectiveness

Managerial effectiveness is considered as an essential element for sustainable development and competitive advantage for organisations, and its core conceptualisation revolves around the capability of management to manage self, subordinates and relationships. However, very few research addressed this important phenomenon; this study aims to fill this gap by investigating the mediating role of Islamic work ethics between leadership styles and managerial effectiveness. ,Data collection was done through a structured questionnaire, and the hypothesized relationships were tested with the help of SmartPLS. ,Results of the statistical analysis showed that transformational and transactional leadership styles are positively associated with managerial effectiveness. Also, Islamic work ethics mediated the association between transactional leadership and managerial effectiveness, and however, no mediation effect of Islamic work ethics was found in the relationship of transformational leadership and managerial effectiveness,Although volumes of research have been conducted into the nature of management and leadership over the past 50 years or so, there have been significant shortcomings in terms of little attention having been given to the issue of managerial effectiveness, lack of generalizability of findings and lack of relevance and utility; thus, this study contributed to human resource management literature by providing a macro-level model to measure managerial effectiveness.
Molecular Profile of Aminoglycoside, Fluoroquinolone, and Class 1 Integron Genes among Gentamicin-Resistant Escherichia coli in Najaf City, Iraq

Escherichia coli has a major cause of women urinary tract infection, which it harbours various kinds of drug resistance-associated genes. So, the current study examined the prevalence and frequency of genes. These genes are responsible for the resistance of aminoglycoside and fluoroquinolone drugs in uropathogenic gentamicin-resistant E. coli isolated from urinary tract infections among women. Six hundred urine specimens were tested. The data revealed 348 (58%) and 70 (11.66%) had gram-positive and gram-negative, respectively. The other 182 (30.33%) were found without any growth. A total of 600 clinical specimens were 167(27.833%) identified as E.coli isolate according to biochemical tests and Vitek-2 System. The phenotypic gentamicin-resistant screening (MIC and disk diffusion) revealed out of 167(27.833%) E.coli isolates were 25(4.166%) gentamicin-resistance. Antibacterial agents susceptibility of 25 gentamicin-resistant E.coli isolates showed concern level of resistance among different categories of antibacterial agents, ranged from high resistance 25(100%) for nalidixic acid to less rate of resistance 4/25(16%) by imipenem drug. Molecular data have demonstrated the prevalence of associated resistance genes for both aminoglycosides and fluoroquinolones. Among 25 gentamicin-resistant E.coli isolates 24/25(96%) were harbours for the genes gyr-B, aac(6’)-Ib-cr, strA/B, and 23/25(92%) of isolates were harbouring for the genes gyrA, qnrS, and aacC-2. In contrast, qnr-B, aac(6′)/aph(2′), and aph(3)lla were identified in 20/25(80%), 11/25(44%) and 8/25(32%) respectively. At the same respect, aacC-1, qnrA, and qnrC genes were no detect in the current study. However, 24/25(96%) of isolates were carrying the class 1integron (intel-1) gene.
Avoiding Stress Driving: Online Trip Recommendation from Driving Behavior Prediction

The growth in the market for cab companies like Uber has opened the door to high-income options for drivers. However, in order to boost their income, drivers many a time resort to accepting trips which increases their stress resulting in poor driving quality and accidents in serious cases. Every driver handles stress differently and the trip recommendation thus needs to be on a personalized level. In this paper, we explore historical trip data to compute the driving stress and its impact on various driving behavioral features, captured through vehicle-mounted GPS and inertial sensors. We utilize a Multi-task Learning based Neural Network model to learn both the common features and the personalized features from the driving data to predict the stress level of a driver. We further establish a causal relationship between the stress level of a driver and his driving behavior. Finally, we develop a trip recommendation system for cab drivers to avoid stress driving. The models have been tested over both a publicly available dataset with 6 drivers for 500 minutes of driving data and an in-house collected dataset from 8 drivers over 1700 trips for 5 months. We observe that the proposed model gives an average prediction accuracy of 94% with low false-positive rates. We also observed that the driving behavior is improved when a driver takes a recommended trip.