Miracle-dz/UniFAR-FTUs huggingface dataset:
NARRATIVE AGENCY AND DISTRESS REGULATION IN YOUTH

Autobiographical narratives can reveal how individuals make sense of their experiences and integrate them into their sense of self. Research into autobiographical narrative has sought to identify key narrative themes and their roles in psychological health and well-being. Across studies, researchers have repeatedly identified agency as a major narrative theme. Agency is an individual’s ability to initiate change in their lives and exert some degree of control over their experiences. As it pertains to autobiographical narrative, agency is a measure of the extent to which a narrator depicts their self as an autonomous actor or passive recipient of the events narrated. Higher levels of narrative agency have been strongly associated with psychological well-being in adults; however, this is not necessarily the case for children. In fact, prior research has found that some of the same narrative features linked to favorable emotional outcomes in adults may be associated with worse emotional outcomes in children. The nature of the association between narrative agency and well-being in children remains unknown. The objective of this study is to test whether narrative agency, as manifested in the autobiographical narratives of children between 8 and 17 years old, is associated with their ability to cope with distressing memories, as measured by reductions in distress. To test this hypothesis, I will analyze transcribed narratives collected from a subgroup of participants in Wainryb et. al. 's 2018 study: Stories for All Ages: Narrating Anger Reduces Distress Across Childhood and Adolescence . In Wainryb et. al. 's study, participants were asked to recall a recent specific event in their lives when they felt really angry at someone.
Relationships between Recent Developments in Linear Control Theory and Classical Design Techniques (Part 4)

Since the Inverse Nyquist Array (subsequently abbreviated to INA where appropriate) method involves a number of specific results and definitions, it will be useful to briefly sketch out the overall approach before becoming involved in the details. The method uses inverse representations for a variety of reasons. One of these is that the relatively complicated relationship for the standard feedback configuration between closed-loop and open-loop transfer-function matrices 0------0
Green Chemistry and Synthesis of Anticancer Molecules Green Chemistry and Synthesis of Anticancer Molecules

Green chemistry is a modern area of chemistry merged with chemical engineering meth- ods. It highlighted the synthesis of molecules in a manner of using environment-friendly chemical reagents with low waste material for enhancing environmental performance which reduce the formation of hazard substances. Modern researches are trying to reduce the risk of human kind health and the environment of our world by doing mag- nificent work in the field of green chemistry. In the pharmaceutical field, green chemistry works very well with the formation of many drugs and it utilizes non-hazards, reproduc - ible and environment-friendly solvents with low time and money costs by using catalyst, microwave, ultrasonic, solid phase and solvent-free synthesis. Until now, scientist has synthesized many anticancer molecules by using these modern green chemistry techniques. These compounds showed significant anticancer activities against many human cancer cell lines. In this chapter, we will cover different views and the recently pub lished literature to summarize the role of green chemistry in the synthesis of anticancer compounds.
COMPARISON OF LEFT ATRIAL SHAPE BETWEEN THE SEXES WITH ATRIAL FIBRILLATION

Introduction: Atrial fibrillation (AF) affects between 2.7 and 6.1 million people in the United States [1]. AF is a cardiac arrhythmia that interrupts the organized electrical and mechanical function of the atria. Previous studies have documented a range of differences in symptom severity and treatment outcomes between men and women with AF [1]-[8]. Some studies argue that women have reduced procedural success, while others argue there is no difference in outcome between the sexes. These studies also suggested that differences in outcomes between sexes could be related to shape differences in the left atrium (LA) [1]-[8]. Current literature supports the notion that female atria are, on average, smaller than male atria [2], [6]. However, overall size of the LA is not the only possible feature of possibly relevant differences in shape between the sexes. The goal of this study was to determine shape differences of the LA between the sexes using sophisticated statistical shape analysis. Methods: We analyzed magnetic resonance imaging (MRI) scans to identify the left atrium from 447 patients. The 447 scans were divided into groups of 200 female and 247 male AF patients. We performed shape analysis on these scans using ShapeWorks, an open-source tool for statistical shape analysis [9]. From the resulting shape models, we were able to reconstruct and compare mean left atrial shapes between the two groups. Results:
The An The effect of strategic alignment in achieving organizational ingenuity: An analytical study of a sample from the Iraq tourism authority – Baghdad

--- The aim of the current study is to show the role that strategic alignment(SA) can play in achieving organizational ingenuity(OI) , partnership, governance, skills, and infrastructure), while the dependent variable had five dimensions (exploration, investment, structural ingenuity, contextual ingenuity, leadership ingenuity), while the method used in the study is the descriptive analytical approach, and a questionnaire was designed to collect the necessary data, A deliberate sample of (113) members was selected, distributed at the level of administrative leaders in the body in question, who are in the position of (general manager, assistant general manager, department manager, division official). Those variables interacted to form the general framework around which the study revolves. Main and subsidiary hypotheses emerged from them in order to reach the aforementioned goal of the study.
Effect of 7a Substitution of Cephems on Their ,-Lactamase Stability and Affinity for Penicillin-Binding Proteins in Morganella morganii

Cephamycins, which have a methoxy group at the 7a position of their cephalosporin nuclei, were highly stable against hydrolysis by a 1-lactamase purified from a clinical isolate of Morganella morganii, whereas their 7a-H analogs were rapidly hydrolyzed by the enzyme. The high stability of the cephamycins was not due to their low affinity for the enzyme, since the cephamycins strongly inhibited the enzyme in a competitive manner. In cases in which the 7a-methoxy group was substituted by OC2H5, SCH3, CN, or CH3 groups, the substituted compounds still showed high stability against enzymatic hydrolysis but significantly reduced both their affinities for the enzyme and their antibacterial activities. These 7a-substituted cephalosporins, except for cephamycins, also had greatly reduced affinities for target proteins, i.e., penicillin-binding proteins, of 1-lactam antibiotics. Therefore, the 7a position ofcephalosporins was considered to play an important role in both ,B-lactamase stability and antibacterial activity.
Email System for Visually Impaired People

— In Today’s world conversation over long miles has become progressive and very efficient due to communication technologies connected to internet. But people having defects regarding their eyesight and find difficult to access these communication technologies. There are many techniques made for the visually impaired people such that they can equally acquire all the facilities to technologies like general people and many features are expanding for these visually impaired humans. All the people on a job requires to access mails in some or the other way therefore, objective behind the paper is to build a desktop application which will be beneficial for visually challenged person to avail every utility that an ordinary person uses to send mails and receive emails efficiently without involving any third entity. This project aims to create an application that has minimal use of keyboard and no use of mouse at all. All the functioning takes place through text-to-speech and speech-to-text conversations. This project will equally be used for the people who are blind. The project focuses on sending and receiving the mails. Every process is interactive and done by accepting few commands such as compose mail and receive mail.
Ensemble Classifier System for Automatic Diagnosis of Thyroid Disease

Thyroid gland secretes hormones that govern many of the functions in our body, such as the way the body uses energy, consumes oxygen and produces heat. Thyroid disorders typically occur when this gland releases too many or too few hormones. An overactive or underactive thyroid can lead to a wide range of health problems. Automatic diagnosis of Thyroid disease via proper interpretation of the thyroid data set is an important classification problem. Thyroid disease dataset which is taken from UCI machine learning database was used. The proposed method uses both Multilayer Perceptron (MLP) and Cascade-Forward Back Propagation Network (CFBN) as base classifiers for the proposed combined classifier systems. The combined classifier is based on varying the parameters related to both the design and training of neural network classifiers. The proposed method achieved accuracy value 96.23% for both combined MLP and combined CFBN classifiers. It has been observed that these results are one of the best results compared with results obtained from related previous studies and reported in the UCI web sites. The experimental results obtained show that the proposed combined classifier can be successfully used for diagnosing thyroid disease.
Sedimentological Study of Bivalve Fossils Site Locality in Hong Hoi Formation, Lampang, Thailand

 Abstract — Hong Hoi Formation is a Middle Triassic deep marine succession presented in outcrops throughout the Lampang Basin of northern Thailand. The primary goal of this research is to diagnose the paleoenvironment, petrographic compositions, and sedimentary sources of the Hong Hoi Formation in Ban Huat, Ngao District. The Triassic Hong Hoi Formation is chosen because the outcrops are continuous and fossils are greatly exposed and abundant. Depositional environment is reconstructed through sedimentological studies along with facies analysis. The Hong Hoi Formation is petrographically divided into two major facies, they are: sandstones with mudstone interbeds, and mudstones or shale with sandstone interbeds. Sandstone beds are lithic arenite and lithic greywacke, volcanic lithic fragments are dominated. Sedimentary structures, paleocurrent data and lithofacies arrangement indicate that the formation deposited in a part of deep marine abyssal plain environment. The sedimentological and petrographic features suggest that during the deposition the Hong Hoi Formation received sediment supply from nearby volcanic arc. This suggested that the intensive volcanic activity within the Sukhothai Arc during the Middle Triassic is the main sediment source.
ANALYTIC FORMULA FOR THE DIFFERENCE OF THE CIRCUMRADIUS AND ORTHORADIUS OF A WEIGHTED TRIANGLE

Understanding and quantifying the e ↵ ects of vertex insertion, perturbation, and weight allocation is useful for mesh generation and optimization. For weighted primal-dual meshes, the sensitivity of the orthoradius to mesh variations is especially important. To this end, this paper presents an analytic formula for the di ↵ erence between the circumradius and orthoradius of a weighted triangle in terms of edge lengths and point weights under certain weight and edge assumptions. Current literature [1] o ↵ ers a loose upper bound on the this di ↵ erence, but as far as we know this is the ﬁrst formula presented in terms of edge lengths and point weights. A formula in these terms is beneﬁcial as these are fundamental quantities which enable a more immediate determination of how the perturbation of a point location or weight a ↵ ects this di ↵ erence. We apply this result to the VoroCrust algorithm to obtain the same quality guarantees under looser sampling conditions.
Biomedical Photoacoustic Imaging Optimization with Deconvolution and EMD Reconstruction

A photoacoustic (PA) signal of an ideal optical absorbing particle is a single N-shape wave. PA signals are a combination of several individual N-shape waves. However, the N-shape wave basis leads to aliasing between adjacent micro-structures, which deteriorates the quality of final PA images. In this paper, we propose an image optimization method by processing raw PA signals with deconvolution and empirical mode decomposition (EMD). During the deconvolution procedure, the raw PA signals are de-convolved with a system dependent deconvolution kernel, which is measured in advance. EMD is subsequently adopted to further process the PA signals adaptively with two restrictive conditions: positive polarity and spectrum consistency. With this method, signal aliasing is alleviated, and the micro-structures and detail information, previously buried in the reconstructing images, can now be revealed. To validate our proposed method, numerical simulations and phantom studies are implemented, and reconstructed images are used for illustration.
The Modern Concept of Measuring Efficiency Implementation and Attitudes of BSC

– In modern information environment it is not enough that companies measure their results only using data from the past. BSC (Balanced Scorecard) can be considered superior to previous approaches of strategic performance management that focus only on financial measures. Balanced Scorecard includes both financial and non-financial measures that drive future financial organization performances. The research questions, which this work provides answers to, is concerned by the level of awareness of 37 surveyed managers of small, medium and large companies in the Republic of Serbia with the BSC, then identifying the degree of BSC implementation in these companies, as well as the reasons for not adopting the BSC and tests which use similar performance measures
ACINETOBACTER BAUMANNII : AN EMERGING UNIQUE MULTI-DRUG RESISTANT PATHOGEN

Acinetobacter baumannii complex emerged as a nosocomial opportunistic pathogen in intensive care unit probably as a consequence at least in part, of increasing use of broad spectrum antibiotics in hospital. It causes outbreaks of infection and health care–associated infections, including bacteremia, pneumonia, meningitis, urinary tract infection, and wound infection. Ventilator-associated pneumonia and bloodstream infections are most common, and mortality rates can reach 35%. Dealing with multi-drug resistant Acinetobacter baumannii is a great challenge for physician and clinical microbiologists not only due to its ability to survive in a hospital milieu but also because of the increase of mortality and morbidity associated with this pathogen. The changing trend in antibiotic susceptibility pattern from sensitive to resistance to commonly used antimicrobial agents creates problem in management of infections caused by A. baumannii . Polymyxins show reliable antimicrobial activity against A. baumannii isolates. Available clinical reports, although consisting of small-sized studies, support their effectiveness and mitigate previous concerns for toxicity. Minocycline, and particularly its derivative, tigecycline, have shown high antimicrobial activity against A. baumannii , though relevant clinical evidence is still scarce. This review summarizes the recent advances, with particular focus on evolutionary and genomic aspects, virulence factors, pathogenesis, antibiotic resistance, therapeutic regiments of Acinetobacter baumannii and also proposes new avenues of research.
Innovative method for traffic data imputation based on convolutional neural network

The quality of traffic data is crucial for modern transportation planning and operations. However, data could be missing for various reasons. Hence, the data imputation approaches which aim at predicting/replacing the missing data or bad data have been considered very important. The traditional traffic data imputation approaches mainly focus on using different probability models or regression methods to impute data, and they only take limited temporal or spatial information as inputs. Thus, they are not very accurate especially for data with a high missing ratio. To overcome the weaknesses of previous approaches, this study proposes an innovative traffic data imputation method, which first transforms the raw data into spatial-temporal images and then implements a deep-learning method on the images. The key idea of this approach is developing a convolutional neural network (CNN)-based context encoder to reconstruct the complete image from the missing source. To the best of the authors' knowledge, this is the first time a CNN method has been incorporated for traffic data imputation. Experiments are conducted on three months of data from 256 loop detectors. Through comparison with two state-of-the-art approaches, the results indicate that this new approach increases the imputation accuracy greatly and has a stable error distribution.
FORMULATION AND EVALUATION OF SATRANIDAZOLE DENTAL STRIPS FOR USE IN PERIODONTITIS

drugs. modified release matrix, a sustained film former, and as a agent, and when the cellulose methylcellulose K4 M K4 M), and Eudragit RL-100 copolymers have already been used as excipients of sustained release implant material in dentistry. [4,5] Satranidazole, a novel nitroimidazole possessing a C-N linkage at C2 of the imidazole ring. The drug produces ABSTRACT Periodontal strip is a dental device with very small loading dose for site specific one time continuous delivery of drug. Periodontitis is a of inflammatory disease affecting the tissues surrounding the teeth. Periodontitis involves progressive loss of the alveolar bone around the teeth, and if left untreated, can lead to the loosening and subsequent loss of teeth. This condition is treated using antibacterial agents by oral route. It has been observed that drug administration by this route caused adverse reactions due to high dose. The concept of delivering the drug directly into the periodontal pocket led to the development of local drug delivery systems. This concept gained attention as it requires low dose, produces sustained action and delivers the drug near to or onto the target site. The objective of present study is to formulate and evaluate satranidazole dental strips for use periodontitis. Dental strips were prepared by solvent casting method by using various polymers like, Ethyl cellulose, HPMC K4M, HPC, and Eudragit RL 100 in varying concentrations. The prepared formulations were evaluated for weight variation, thickness, content uniformity, invitro drug release studies. Stability studies were formulated with SF7 containing polymers Ethyl cellulose and HPMC K4M was considered as the best formulation based on invitro drug release of 96.43% in 7 days. The formulation found to be stable over a period of three months stability. Further work to done the antibacterial activity of the developed formulation will help to suggest that satranidazole dental strip provide an alternative for use in periodontitis.
CAN VITAMIN D SUPPLEMENTAL THERAPY IMPROVE PREGNANCY-ASSOCIATED ANEMIA? AN INTERVENTIONAL PROSPECTIVE CLINICAL TRIAL.

Objectives: To evaluate impact of vitamin D supplemental therapy (VD-ST) and iron ST (IST) on hemoglobin concentration (HC) in pregnant women. Patients & Methods: 187 women pregnant were clinically evaluated and gave blood samples at 1 st trimester for estimation of HC and serum 25OH-VD, ferritin concentration (FC), hepcidin (HPC) and interleukin-6 (IL-6). Women were categorized according to the levels of estimated parameters into control and study groups A-D. Women of groups A and C received VD-ST alone, group B received IST alone and group D received both ST. At delivery, HC, extent of change and frequency of pregnancy- associated anemia (PAA) were determined. Results: At 1 st trimester, 71.7% women were anemic and 38.5% had hypoferremia, 77% had VD deficiency (VDD)
A Scalable Architecture for Network Trafﬁc Forensics

—The availability of high-speed Internet enables new opportunities for various cybercrime activities. Security admin-istrators and Law Enforcement Agency (LEA) ofﬁcers call for powerful tools capable of providing network communication analysis of an enormous amount of network trafﬁc as well as capable of analyzing an incomplete network data. Big data technologies were considered to implement tools for capturing, processing and storing packet traces representing network communication. Often, these systems are resource intensive requiring a signiﬁcant amount of memory, computing power, and disk space. The presented paper describes a novel approach to real-time network trafﬁc processing implemented in a distributed environment. The key difference to most existing systems is that the system is based on a light-weight actor model. The whole processing pipeline is represented in terms of actor nodes that can run in parallel. Also, the actor-model offers a solution that is highly conﬁgurable and scalable. The preliminary evaluation of a prototype implementation supports these general statements.
Detection and Identification of Human Skin Diseases Using CIElab Values

: The purpose of a human skin detection method is to distinguish image portions between skin and non-skin regions. Many existing approaches in the literature are based on features that explore information of color, shape and texture in the images. Variety of color spaces has been used in skin detection with the aim of finding a color space where the skin color is invariant to illumination conditions. In this paper we are discussed the RGB and CIELab color space model for detecting the human skin. In this paper we also discussed the conversion of RGB values to CIELab values for Human skin Detection and identification of skin diseases using the color of the skin.
Book Reviews

The literary genre of prison writing receives limited attention from the general public or from academia, yet written accounts of the carceral experience play an important role in testifying to life behind prison walls. While a number of prisoners have writ- ten about their imprisonment, books by prison staff are rarer, and some recent vol-umes have been criticised for their voyeuristic depictions of prisoners and prison life. Brendan O’Friel served as Governor of HMP Strangeways (now HMP Manchester) during the most serious prison riot in UK history, yet he avoids sensationalising his ac- count of his time in the prison service. Instead, his memoir, Prison Governor’s Journal , offers a considered, measured and meticulous account of three decades working in the English prison system, which will be of value to an academic audience and a wider readership. Prison Governor’s Journal is divided into three sections. Part One, ‘Early Years’, re-lates O’Friel’s childhood on the Isle of Man, as well as providing a brief but illumi- nating history of prisons on the island. The section goes on to describe the author’s education, and his decision in 1963 to train as an assistant governor in the prison ser- vice. This early section sets up some of the main inﬂuences that have shaped O’Friel’s life and career, including his Manx and Irish background, his Catholic faith, and his strong belief in public service, all of which are recurring themes throughout the volume.PartTwo makes up the bulk of the memoir and covers the duration of O’Friel’s career in the prison service. The section initially describes his training at the Prison Service Staff College in Wakeﬁeld, before charting his career across seven establishments (Lowdham Grange, Manchester, Onley, Preston, Birmingham, Featherstone, Manchester again, and Risley), as well as at prison service headquarters and at the Midlands regional ofﬁce. A signiﬁcant