Miracle-dz/UniFAR-FTUs huggingface dataset:
Mathematical Discourse: Language, Symbolism and Visual Images

1. Mathematics as a Multisemiotic Discourse 2. Evolution of the Semiotics of Mathematics 3. Systemic Functional Linguistics and Mathematical Language 4. The Grammar of Mathematical Symbolism 5. The Grammar of Mathematical Visual Images 6. Intersemiosis: Meaning Across Language, Visual Images and Symbolism 7. Mathematical Constructions of Reality.
To What Extent Trust in Leader and Ethical Climate Affect Turnover Intention? A Research on Private and Public Bank Employees

Drawing on theory and research, the mediating roles of trust in leader and ethical climate on the relations between ethical leadership, organisational justice, and turnover intention are examined with structural equation modelling. Using 571 private and 535 public bank employees, it is found that turnover intention can be decreased by increasing trust in leader and ethical climate in the environment. In addition, the full mediations of trust in leader and ethical climate are supported in the relations between ethical leadership and turnover. However, trust in leader and ethical climate are found to have partial mediating effects between distributive justice and turnover and it is also found that procedural justice does not have an effect on turnover intention. Moreover, invariance tests have identified both model and structural invariance indicating equivalence across both private and public bank samples.
The Evolution of Health Care Systems in Nigeria: Which Way Forward in the Twenty-First Century

Correspondence: Prof. A. Scott-Emuakpor Evolution is “change” and one of the most consistent phenomena of life is “change”. Change is to alter, to vary, to substitute, and to mutate. The complexity of life itself is brought about by change. Our individuality is fashioned by change. In the process of gamete formation, the genes within the germ cell undergo a complex rearrangement referred to as “meiosis”. During this event, the chromatids of homologous chromosomes participate in an almost ritualistic exchange of genetic materials called “crossing-over” or “recombination”. At the end of this process, paternal and maternal genes are recombined uniquely to produce an arrangement of genes never before encountered. This ultimate change produces a unique individual generation after generation. Whether you are an “evolutionist” or a “creationist”, change constitutes the main element of the process in which you believe. The entire theory of evolution glorifies “change”. Evolution derives its substance from the theory of “survival of the fittest”. The fittest are fittest because they have undergone change called “mutation”, which confers on them reproductive superiority in a constantly changing environment. Therefore, the “fittest” have a “selective advantage” to deal with a changed environment. The creationist should remember the story of creation very well. It consisted of a series of changes. As the narrative goes, “And the earth was without form, and void; and darkness was upon the face of the deep. And the spirit of God moved upon the face of the waters. And God said, “Let there be light: and there was light” (see Genesis 1:2-3). Light was the very first change God brought to bear in the process of His creation. The story of God's creation becomes even more fascinating as you read the rest of the book of Genesis. It shows how God changed the world and the beauty therein painstakingly. It also shows the changes that were introduced into our very existence when the first Humans disobeyed the instructions of God.
Self-Care Behaviours and Glycemic Control among Adults with Type 2 Diabetes

Aim: To explore self-care behaviours and glycemic control among adults with type 2 diabetes. Design: A descriptive cross-sectional design was used for the study. Methods: The revised summary of diabetes mellitus questionnaire was used to collect data and glycated haemaglobin. A random sample comprising of 350 Omani adults with type 2 diabetes were selected between January- June 2010. Structural equation modelling and ANOVA were used for analysis. Results/Findings: One-third of the adults with type 2 diabetes followed diet, foot care and medications (on an average of 3 days/7 days) compared to half percentage of them adhering to foot care. 27% of the total variance in self-car activities was accounted by diet, 32% by exercise and 17% by medications. Blood glucose monitoring, foot care, and smoking and HbA1c accounted for 60%, 78%, and 51% variances. The standardized path coefficients of diet, exercise, smoking, foot care, blood sugar monitoring and medications had a significantly positive influence on self-care behaviours. Conclusion: There were inadequate self-care behaviours among the majority of adults with type 2 diabetes with poor glycaemic control. Nurses should use the self-care management model when designing tailored educational interventions to enhance glycemic control.
Association patterns of hotspot sequence with socio-economic aspects in peatland in Sumatra

Every year forests degrade because of illegal logging and forest fires. The worst forest and land fires are also found on peatlands. This research aims to identify hotspot sequences as fire indicator on Sumatra peatlands on the year 2014 using SPADE algorithm. There are 28 sequences generated with a minimal of two days occurrences with minimum support of 0.01. The sequence patterns showed that majority hotspot consecutively occurred on March and April of 2014. Association between hotspot sequences and social economy aspects is then analyzed using Apriori algorithm. This research results 1632 rules associated with location of hotspot sequences. According to the association rules, we could conclude that hotspot sequence occurrences generally found on locations with plantation as the source income of the community, has forest fire history within 2011 until 2013, no history of drought within the same year, and has 0 to 9 schools.
Using Simulated Annealing for Open Shop Scheduling with Sum Criteria

In this chapter, we consider the open shop scheduling problem which can be described as follows. A set of n jobs J1, J2, . , Jn has to be processed on a set of m machines M1,M2, . , Mm. The processing of job Ji on machine Mj is denoted as operation (i, j), and the sequence in which the operations of a job are processed on the machines is arbitrary. Moreover, each machine can process at most one job at a time and each job can be processed on at most one machine at a time. Such an open shop environment arises in many industrial applications. For example, consider a large aircraft garage with specialized work-centers. An airplane may require repairs on its engine and electrical circuit system. These two tasks may be carried out in any order but it is not possible to do these tasks on the same plane simultaneously. Further applications of open shop scheduling problems in automobile repair, quality control centers, semiconductor manufacturing, teacher-class assignments, examination scheduling, and satellite communications are described by Kubiak et al. (1991), Liu and Bulfin (1987) and Prins (1994). For each job Ji, i = 1, 2, . , n, there may be given a release date ri ≥ 0 which is the earliest possible time when the first operation of this job may start, a weight wi and a due date di ≥ 0 by which the job should be completed. The processing time of operation (i, j) is denoted as tij. It is assumed that the processing times of all operations are assumed to be given in advance. Let Ci be the completion time of job Ji, i.e. the time when the last operation of this job is completed. Traditional optimization criteria are basically partitioned into two types: either
An optimization approach to weak approximation of Lévy-driven stochastic differential equations with application to option pricing

We propose an optimization approach to weak approximation of Lévy-driven stochastic differential equations. We employ a mathematical programming framework to obtain numerically upper and lower bound estimates of the target expectation, where the optimization procedure ends up with a polynomial programming problem. An advantage of our approach is that all we need is a closed form of the Lévy measure, not the exact simulation knowledge of the increments or of a shot noise representation for the time discretization approximation. We also investigate methods for approximation at some different intermediate time points simultaneously.
Generative-discriminative low rank decomposition for medical imaging applications

In this thesis, we propose a method that can be used to extract biomarkers from medical images toward early diagnosis of abnormalities. Surge of demand for biomarkers and availability of medical images in the recent years call for accurate, repeatable, and interpretable approaches for extracting meaningful imaging features. However, extracting such information from medical images is a challenging task because the number of pixels (voxels) in a typical image is in order of millions while even a large sample-size in medical image dataset does not usually exceed a few hundred. Nevertheless, depending on the nature of an abnormality, only a parsimonious subset of voxels is typically relevant to the disease; therefore various notions of sparsity are exploited in this thesis to improve the generalization performance of the prediction task. We propose a novel discriminative dimensionality reduction method that yields good classification performance on various datasets without compromising the clinical interpretability of the results. This is achieved by combining the modelling strength of generative learning framework and the classification performance of discriminative learning paradigm. Clinical interpretability can be viewed as an additional measure of evaluation and is also helpful in designing methods that account for the clinical prior such as association of certain areas in a brain to a particular cognitive task or connectivity of some brain regions via neural fibres. We formulate our method as a large-scale optimization problem to solve a constrained matrix factorization. Finding an optimal solution of the large-scale matrix factorization renders off-the-shelf solver computationally prohibitive; therefore, we designed an efficient algorithm based on the proximal method to address the computational bottle-neck of the optimization problem. Our formulation is readily extended for different scenarios such as cases where a large cohort of subjects has uncertain or no class labels (semi-supervised learning) or a case where each subject has a battery of imaging channels (multi-channel), \etc. We show that by using various notions of sparsity as feasible sets of the optimization problem, we can encode different forms of prior knowledge ranging from brain parcellation to brain connectivity. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Electrical & Systems Engineering First Advisor Christos Davatzikos Second Advisor Ben Taskar This dissertation is available at ScholarlyCommons: http://repository.upenn. edu/edissertations/491
Nachsorge nach koloskopischer Polypektomie und entferntem Kolorektalkarzinom

1996 schuf die damalige Fachgesellschaft der Schweizerischen Gastroenterologen erstmals Empfehlungen zur Nachsorge nach koloskopischer Polypektomie und nach kurativer Operation des kolorektalen Karzinoms. Diese Empfehlungen haben eine breite Akzeptanz gefunden. 2014 ist nun die vierte Revision erfolgt.
Reducing Anxiety Level in Mathematics Learning using Pedagogical Agent

The objectives of this study are to design pedagogical agents that will help students to reduce mathematics anxiety problem and to determine appropriate number and types of the anxiety treatment messages in a computer-based learning environment according to students’ anxiety levels. Participants in this study were 123 out of 180 undergraduates who were taking a Probability and Statistics course. The duration to conduct this study was around six months. There were few phases in this study. The first phase was designing the system and PAs for around four months. Second phase was students were given a consent form to obtain their permission to participate in this study. After the students agreed to participate in this study, they were given a duration of one week to fill up the pre-questionnaire online. The third phase was conducted for one month for the students to learn probability topics using the system, PMath Guide with pedagogical agents. These pedagogical agents in the system acted as a lecturer, tutor and motivator. In short, the pedagogical agents led students to have an interest in learning probability, providing encouragements, increasing confidence level, and thus reducing their anxiety level. The fourth phase was conducted for one week for the students to fill up an online post-questionnaire after they finished learning using the PMath Guide. The students’ anxiety level were determined by comparing the scores from mean and standard deviation from pre and post Mathematics Anxiety Rating Scale (MARS). Anxiety level was low when the scores were below one standard deviation from the mean scores. Meanwhile, anxiety level was categorised as average when scores were within one standard deviation from the mean scores whereas scores that were above one standard deviation from the mean scores was considered to have high anxiety level.
THEORY OF CONGESTED TRAFFIC FLOW: SELF-ORGANIZATION WITHOUT BOTTLENECKS

This paper contains the results of experimental observations of the phenomena of self-organization in traffic flow on German highways. The observations allow one to suggest that there are at least two phenomena of "self-organization without bottlenecks" in real traffic flow: (1) spontaneous formation of a local region of synchronized traffic flow in initially free traffic flow; and (2) spontaneous formation of a traffic jam in synchronized traffic flow. A theory of congested traffic flow which may qualitatively explain these and other diverse effects of self-organization in real traffic flow is discussed.
The Washington Manual of Surgical Pathology

Contributors Preface Acknowledgments I: HEAD AND NECK Oral Cavity and Oropharynx Larynx Nasal Cavity, Paranasal Sinuses, and Nasopharynx Tumors & Cysts of Jaws The Eye Salivary Glands Cytology of the Salivary Glands The Ear II: THORAX Lung Cytology of the Lung Cardiovascular System Mediastinum Serosal Membranes III: GI TRACT The Esophagus Cytology of the Esophagus The Stomach Cytology of the Stomach Intestines, Appendix, Anus Cytology of the Intestines, Appendix, and Anus The Liver Cytology of the Liver The Gallbladder & Extrahepatic Biliary Tree Cytology of the Gallbladder and Extrahepatic Biliary Tree The Pancreas Cytology of the Pancreas IV: BREAST The Breast Cytology of the Breast V: URINARY TRACT Medical Diseases of the Kidney Kidney and Adult Neoplastic Pediatric Renal Neoplasms Adult Renal Neoplasms Cytology of the Kidney Renal Pelvis & Ureter The Urinary Bladder Urethra VI: ENDOCRINE SYSTEM Thyroid Parathyroid Glands The Adrenal Gland Pituitary Gland VII: REPRODUCTIVE TRACT Testis & Paratestis Prostate Penis & Scrotum Ovary Fallopian Tube Uterus(Corpus) Uterine Cervix Vagina Vulva Placenta VIII: SKIN Skin: Nonneoplastic Dermatopathology Nonmelanocytic Tumors of the Skin Skin:Melanocytic Lesions IX: NERVOUS SYSTEM Central Nervous System: Brain, Spinal Cord & Meninges Peripheral Nerve X: HEMATOPOIETIC SYSTEM Lymph Nodes Bone Marrow Pathology Spleen XI: SOFT TISSUE AND BONE Soft Tissue Bone: Neoplasms and other Non-metabolic Disorders Metabolic Diseases of Bone Joints and Synovium XII: CYTOLOGY General Principles of Exfoliative and Fine Needle Aspiration Biopsy XIII: ANCILLARY METHODS Frozen Sections & Other Intraoperative Consultations Electron Microscopy Histology and Histochemical Stains Immunohistochemistry Immunofluorescence Flow Cytometry Cytogenetics Fluorescence in Situ Hybridization PCR-Based Methods for Molecular Genetic Testing Microarrays Biospecimen Banking Imaging Technologies in Surgical Pathology: Virtual Microscopy and Telepathology Index
基于CAN（Controller Area Network）总线的汽车智能仪表

该项目提出将汽车仪表全数字化、实时化、并将FM、MP3等娱乐信息集于一体,超速的报警系统,同时提出更优控制设计方案。 在实现过程中仍然采用欧美汽车总线标准CAN2. 0总线交互信息、采用高速ARMCortex-M3内核,ST公司产品STM32F103作为控制器实现本设计中需要的所有要求。
Modulation of Cardiac Autonomic Control in Children and Adolescents with Obesity

Abstract It is established that one of the most important characteristics of obesity is cardiovascular alterations. Obese individual suffers from an increased mortality risk supposedly due to cardiovascular disorders related to either continuously lowered parasympathetic and/or sympathetic activation. Presently, heart rate variability (HRV) is one of the ways to assess cardiac autonomic function. It is recognized as non-invasive and powerful means for evaluating physiological factors influencing the normal rhythm of the heart. Higher HRV is a signal of good adaptation and characterizes a healthy person with efficient autonomic mechanisms, while lower HRV is frequently an indicator of abnormal and insufficient adaptation of the autonomic nervous system (ANS), provoking poor patient’s physiological function. In this paper, we have discussed mechanisms of HRV, the sympathetic nervous system activation in human obesity and various factors modulating blood pressure in obese children and adolescents. Key words : heart rate variability, obesity, children, adolescents
Effect of temperature and relative humidity on the biology of groundnut bruchid, caryedon serratus (olivier) in controlled conditions

Studies on the biology of C.serratus at ambient conditions, RH 50%, 80% and 90% at temperature 30°C revealed the average egg period as 6.3, 10.42, 5.48 and 7.12 days, the grub period of 21.08, 23.08, 20.72 and 19.18 days and the pupal period of 9.22, 13.66, 9.4 and 9.66 days at ambient conditions, RH 50%, 80% and 90% at temperature 30°C, respectively. The average longevity of adult male was 12.78, 20.98, 14.58 and 13.18days and adult female was 17.94, 25.44, 17.34 and 15.52 days at above ambient conditions.
Pro-inflammatory Monocyte Phenotype and Cell-Specific Steroid Signaling Alterations in Unmedicated Patients With Major Depressive Disorder

Several lines of evidence have strongly implicated inflammatory processes in the pathobiology of major depressive disorder (MDD). However, the cellular origin of inflammatory signals and their specificity remain unclear. We examined the phenotype and glucocorticoid signaling in key cell populations of the innate immune system (monocytes) vs. adaptive immunity (T cells) in a sample of 35 well-characterized, antidepressant-free patients with MDD and 35 healthy controls individually matched for age, sex, smoking status and body mass index. Monocyte and T cell phenotype was assessed by flow cytometry. Cell-specific steroid signaling was determined by mRNA expression of pre-receptor regulation (11β-hydroxysteroid dehydrogenase type 1; 11β -HSD1), steroid receptor expression [glucocorticoid receptor (GR) and mineralocorticoid receptor (MR)], and the downstream target glucocorticoid-induced leucine-zipper (GILZ). We also collected salivary cortisol samples (8:00 a.m. and 10:00 p.m.) on two consecutive days. Patients showed a shift toward a pro-inflammatory phenotype characterized by higher frequency and higher absolute numbers of non-classical monocytes. No group differences were observed in major T cell subset frequencies and phenotype. Correspondingly, gene expression indicative of steroid resistance (i.e., lower expression of GR and GILZ) in patients with MDD was specific to monocytes and not observed in T cells. Monocyte phenotype and steroid receptor expression was not related to cortisol levels or serum levels of IL-6, IL-1β, or TNF-α. Our results thus suggest that in MDD, cells of the innate and adaptive immune system are differentially affected with shifts in monocyte subsets and lower expression of steroid signaling related genes.
Constraint - based multi - agent meeting scheduling: Effects of agent heterogeneity on performance a

A time delay valve of flexible material to be supported in an opening in a wall and having a body member provided with a recess permitting the use of a tool to position the valve in the opening in the wall from one side of the wall with the recess also accommodating displaced material during the time that the valve is being installed. The valve has an enlarged head which closes the opening and flexes away from the wall to open and permit relatively free fluid flow. A metering groove extends radially of an annular sealing surface formed on the perimeter of the head to restrict and delay fluid flow when the valve is in a closed position relative to the wall.
Vibrations and their applications in sport. A review.

: In sport, mechanical vibration is used as a massage tool and/or for training purposes. Two varieties of vibration training (VT) can be distinguished: strength exercises with superimposed vibratory stimulation (VS exercises) and motor tasks performed under whole body vibration (the WBV training). Vibratory massage has been used extensively since the beginning of the 20th century while VT is a relatively new technique. In the research literature, the main subjects addressed have been acute and cumulative effects of VS on flexibility and strength. Marked enhancement effects were obtained in medium-duration stretching and short-duration dynamic strength exercises while prolonged efforts did not show positive impact. The observed effects of vibration depend on various neural facilitatory and inhibitory mechanisms. In comparison to VS exercises, WBV tasks generate more global neuromuscular, metabolic and hormonal responses. WBV training resulted in significant changes in several motor variables, with stretch-shortening cycle tests (such as countermovement jumps, serial high jumps, etc.) being the most sensitive to WBV treatment. Based on available knowledge about proprioceptive spinal reflexes-that feedback from the primary endings of motor spindles produces a stimulatory effect via increased discharge of a-motoneurons, and activation of Golgi tendon organs (GTO) evokes inhibition of muscle action-a hypothesis has been proposed that VT enhances excitatory inflow from muscle spindles to the motorneuron pools and depresses inhibitory impact of GTO due to the accommodation to vibration stimuli. The intensity and duration of vibration used in VT dramatically exceed the standards for occupational vibration established by the International Organization for Standardization.