Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Birmingham Self-Harm, Suicidal Behaviours, and Cyberbullying in Children and Young People:

Background: Given the concerns about bullying via electronic communication in children and young people and its possible contribution to self-harm, we have reviewed the evidence for associations between cyberbullying involvement and self-harm or suicidal behaviors (such as suicidal ideation, suicide plans, and suicide attempts) in children and young people. Objective: The aim of this study was to systematically review the current evidence examining the association between cyberbullying involvement as victim or perpetrator and self-harm and suicidal behaviors in children and young people (younger than 25 years), and where possible, to meta-analyze data on the associations. Methods: An electronic literature search was conducted for all studies published between January 1, 1996, and February 3, 2017, across sources, including MEDLINE, Cochrane, and PsycINFO. Articles were included if the study examined any association between cyberbullying involvement and self-harm or suicidal behaviors and reported empirical data in a sample aged under 25 years. Quality of included papers was assessed and data were extracted. Meta-analyses of data were conducted. Results: A total of 33 eligible articles from 26 independent studies were included, covering a population of 156,384 children and young people. A total of 25 articles (20 independent studies,
Work-Based Learning Implementation Model in Vocational Education

Vocational Education andTraining(VET) in Indonesia shows significant progress in this recent 10 years. Better imaging of VET is influenced by some factors, such as policy shift of improving proportion of SMK students, intense imaging of SMK, improvement of vocational education on university level, establishment of National Competence Framework (KKNI) as well as national economic growth. By having this development, all stake holders of Technology and Vocational Education should always conserve this spirit. Reformulation of VET paradigm should be continually conducted in case of democratic society building, social capital development, and national competitiveness aspect. Those will related to policy development, curriculum restructuring, learning model improvement, program evaluation and proffesional development for teacher education as well as LPTK and DUDI partnership. The strategy of learning development on VET implementation should always be conducted so that the graduates competence fulfilling market demand. The learning process on VET should apply Work Based Learning (WBL) approach and DUDI cooperation. In line with technology development, dynamic of working setting, working context challenge and higher working competence, VET is demanded to be able to anticipate and face this global challenge by utilizing capability and capacity of industrial partnership. WBL is a learning approach that utilizes the work place and its experience to contribute to social context, academic, and learner carrier development as well as the supplement of learning activity. The experience of learning in the working area is applied, smoothed, and expanded either on class or work place. By implementing WBL, learners develop attitude, knowledge, skills, insight, behavior, habits, and associations from the experiences of both places and enabling learning process with real working context. Empirical study development of Ro-Ter model (RollingdanTerpadu/Rolling and integrated) in vocational learning of Automotive Diploma III can be developed on VET implementation especially Automotive Engineering Education in LPTK.
Irreducible ‘pulled elbow’: report of two cases and review of the literature

: Subluxation of the radial head is a common injury in young children. It occurs after longitudinal traction on the extended arm with the forearm in pronation. Diagnosis is made from history and clinical presentation. Closed reduction achieved by supination and flexion or by hyperpronating the affected arm can usually restore normal anatomy satisfactorily. Rarely, it requires open reduction. There are very few cases in the literature that have required open reduction and no article shows intraoperative photographs. We present two cases of delayed diagnosis owing to an atypical clinical history that required open reduction.
A Hybrid Multiport Modular Multilevel DC-DC Converter For Offshore Wind Farms Application

Offshore wind farms connected with HVDC transmission line is a promising solution to bring the power to shore and assure the system efficiency. A DC-DC converter with high step ratio is required for such application. The modular multilevel converter (MMC) for transformer-less DC-DC converter application is regarded as an alternative solution to replace the two-stage DC-AC-DC conversion. A hybrid multiport modular multilevel DC-DC converter is proposed in this paper, which have one high voltage port and multiple low voltage ports. The low voltage ports can be connected to the dc output of wind turbines. The bidirectional power flow is realized by controlling the arm voltages. The proposed converter has a lower circulating currents as compared to the single-port MMC DC-DC converter. By using the full bridge submodules (FBSMs), the converter also has DC fault blocking capability.
Contemporary Management of Pancreatic Cancer

P ancreatic cancer is one of the most lethal diseases and could be the second leading cause of cancer death in the United States by 2020.1,2 Surgical resection offers the only potential for cure; however, most patients are diagnosed in the later stages when the disease is unresectable. Systemic chemotherapy is the mainstay for the management of patients with pancreatic cancer, but it has limited efficacy. Recent advances in surgery, radiation therapy, ablative options, and endovascular therapies have brought promise and hope to these patients.
Using Novel Method ProMiSH Search Nearest keyword Set In Multidimensional Dataset

In this paper,we proposed novel method that is ProMiSH (Projection and Multi Scale Hashing) that uses random projection and hash-based index structure. Consider object that are embedded in vector space and tagged with keywords. By using this algorithm we find tightest group of keyword as well as we use five different method i.e Euclidean Distance, Jaccard Distance, Cosine Similarity and correlation Distance for finding more accurate result. ProMiSH has up to 60 time faster as compare to the State-of-the art tee-based techniques. In this system study nearest keyword queries on text reach multidimensional dataset. Keywords— Multi-dimensional data, Indexing, Hashing, Querying, projection
Original article New challenges for clinical health psychology in diagnosis and therapy of tinnitus

participants and procedure The study included 169 tinnitus patients aged between 22 and 88 years (mean 53.52). The duration of tinnitus ranged between 5 months and 30 years (mean 5.29 years). The participants presented either with normal hearing or with hearing loss. The study was based on a standardized interview and examination with two psychometric instruments: the General Health Questionnaire (GHQ-28) and the Tinnitus Handicap Inventory (THI).
DESIGN OF DOUBLE TAIL DYNAMIC COMPARATOR THROUGH ANALYSIS OF LOW POWER CONSUMPTION OF CONVENTIONAL DYNAMIC COMPARATOR

Dynamic comparators are widely used in the design of high-speed ADCs. Clocked comparators are often called Dynamic Comparators. In this work, an analysis on the delay of the dynamic comparators will be presented. Based on the presented analysis, a new dynamic comparator is proposed, where the circuit of a conventional double tail comparator is modified for low-power and fast operation even in small supply voltages. Without complicating the design and by adding few transistors, the positive feedback during the regeneration is strengthened, which results in remarkably reduced delay time. Post-layout simulation results in a 0.18-μm CMOS technology confirm the analysis results. The proposed dynamic comparator delay time is significantly reduced.
Investigation on Deep Reinforcement Learning Methods for Classical Control Problems

Through the study in CMPUT 609, I build a solid foundation and comprehensive overview of reinforcement learning. However, we didn’t explore too much deeper into the recent advances in the research of reinforcement learning, such as deep reinforcement learning. In this paper, I explore and implement several popular deep reinforcement learning methods along with cross-entroy method. In addition, I apply these algorithms to a classical control problem, i.e. cart-pole problem and its variations to compare their performance. Due to the limited time, I do not tune the parameters carefully enough which may not reveal some algorithm’s full power though. We can still get a overall impression about how these algorithms work in practice.
UPDATE ON INTRACEREBRAL HEMORRHAGE

Compared to ischemic stroke, intracerebral hemorrhage (ICH) has higher mortality and worse morbidity. Unfortunately, we still lack a primary treatment for ICH. Promising trials using recombinant activated factor VII (rFVIIa) to prevent hematoma expansion have not yielded consistent improvement in outcome, and a large multicenter surgical trial failed to show benefit. Thus, management focuses on supportive care, including management of blood pressure, intraventricular hemorrhage, glucose, and fever. This chapter summarizes the trials of rFVIIa and surgery and provides an update on the issues surrounding the management of hypertension, intraventricular hemorrhage, glucose, and fever. Recent work on the impact of antiplatelet agents and statins on the incidence and severity of ICH is reviewed, and some new considerations regarding defining prognosis and limiting care are discussed.
Learning a Multi-Task Model for Control of a Compliant Robot

Many strategies for controlling a robot require a detailed model of the robot’s kinematics or dynamics. However, such models can be dependent on unknown context variables. One such context variable is the mass of an object lifted by the robot, since for compliant robots this mass changes the model in a non-linear way. Models for specific contexts can be learned using Gaussian Processes (GPs), but have to be relearned for each novel context. In this paper multi-task GPs are used to learn a model that allows generalization between different contexts. Consequently, only a few new data points have to be generated when a new context is encountered. We employ learned task features to efficiently learn the multi-task model. The approach is evaluated on an object-lifting task with a continuum robot arm under several settings, and compared to standard GPs trained for each object separately. The learned model is shown to be usable for control. We show that multitask GPs using learned feature representations for the tasks outperform standard GPs when few data points are available.
Primary Ovarian Failure

Primer over yetersizliği (POY) kadınlarda infertilitenin yaygın bir sebebidir ve 40 yaşın altındaki kadınlarda amenore, östrojen eksikliği ve artmış gonadotropin seviyeleri ile karakterizedir. POY’un primer nedeni X kromozom anomalileri (monozomi, trizomi, translokasyon, delesyon) ya da otozomal genlerdeki mutasyonlar sonucu oluşabilen genetik defektlerdir. Otoimmün over hasarı tek başına ya da bazı otoimmün hastalık veya sendromlarla birlikte görülebilir; fakat overyan antikorların spesifitesi ve sensitivitesi hala kuşkuludur. Bilateral ooferektomi, kemoterapi, radyoterapi ve infeksiyonlar sekonder POY nedenleridir. POY semptomları irritabilite, sinirlilik, libido azalması, depresyon, cilt kuruluğu, vajinal kuruluk ve enfeksiyon sıklığında artıştır. POY tanısı 40 yaşından küçük bir kadında FSH’nin 40 IU/L’den yüksek, estradiolün 50 pmol/L’den düşük olması ile konur. Gebelik isteyen hastalarda ardışık östrojen, progesteron replasman tedavisi ilk basamak tedavidir, sonrasında oosit donasyonu tavsiye edilebilir. Uygun estrojen-progesteron tedavisi yaşam kalitesini arttırır, osteoporoz, kardiyovasküler hastalık ve inme gibi komplikasyonlardan hastaları korur. Bağışlanan oositlerle gerçekleştirilen yardımla konsepsiyon ile POY’lu kadınlarda gebelik elde edildiği kanıtlanmıştır. Embriyo, oosit ve over dokusunun dondurularak saklanması kanser tedavisi gören kadınlarda over rezervini korumak için kullanılmıştır. (Ha seki T›p Bül te ni 2015; 53: 10-5)
Detection of kimberlitic rocks in West Greenland using airborne hyperspectral data: the HyperGreen 2002 project

Previous investigations by the Geological Survey of Denmark and Greenland (GEUS) and exploration companies have demonstrated that some of the kimberlites in West Greenland are diamond bearing, making the region an important target for diamond prospecting. High-resolution hyperspectral (HS) remote sensing data have been successfully used for the location of kimberlitic rocks, e.g. in Australia and Africa. However, its potential as a viable method for the mapping of kimberlite occurrences in Arctic glaciated terrain with high relief was previously unknown. In July–August 2002, GEUS conducted an airborne hyperspectral survey in central West Greenland (Fig. 1) using the commercially available HyMap hyperspectral scanner operated by HyVista Corporation, Australia. Data were processed in 2003, and in 2004 follow-up field work was carried out in the Kangerlussuaq region to test possible kimberlites indicated by the HS data (Fig. 1). The project was financed by the Bureau of Minerals and Petroleum, Government of Greenland. Hyperspectral data and field work
Analysis of the current human resource situation in the nationwide tuberculosis control and treatment organizations

Objective To describe the basic human resource situation in the nationwide TB control and treatment organizations,and to provide witness for future improved human resource building.Methods All levels of the TB control and treatment organizations filled in the questionnaires in September to October in 2007,after the questionnaires aggregated,the provincial level organzationsreported the findings to the national center,finally the national center of TB control and prevention summarized and analyzed the data.Results Though the numberof TB professionals has improved in some degree,the staff of the TB control and treatment organizations reached the requirements remained few.There was a shortage of staff members with high education and high technical title,and staff who understand the clinical informaton of TB control and prevention.The age structure of staff from some organization need further improvement.
Clinical treatment of intracranial germinoma

Objective To evaluate the combined treatment of intracranial germinomas. Method Among the 13 cases of clinical definedintracranial germinomas, there were 8 cases of solitary type, 4cases of invasive type, and 1 case of disseminative type. Radiotherapy oflocalized field of the tumor combined with chemotherapy consisting of cisplatin and etoposide was used for solitary type, and methotrexateintracerebroventricle or intrathecal chemotherapy was added to the other types. Result Complete disappearance of the tumors wasachieved in 11 cases, and the other 2 cases showed more than, 90% tumor volume reduction. All the patients showed a good outcome andno recurrence or progression of the tumor occurred during 0. 3 - 4. 5years(mean: 2. 7years)follow up. Concluson Using localized radia-tion therapy combined with different regimen of chemotherapy, according to tumor types, may get a good result on tumor control and it hasless toxicity and complications in the clinic management of intracranial germinoma.
A Comparison of Results for Serum Versus Heparinized Plasma for 30 Common Analytes

Twenty paired serum and heparinized plasma samples were assayed for 30 common analytes in order to determine whether medically significant differences exist at high and low decision levels. Linear-regression analysis was used to determine total systematic error and to predict analyte concentrations in plasma at decision levels. The predicted value was compared with criteria for medically allowable error in order to determine the validity of substituting heparinized plasma for serum. There were statistically significant and predictable differences between heparinized plasma and serum for assays of ammonia, ionized calcium, potassium, and amylase. There was marked bias and proportional error for alanine aminotransferase, γglutamyltransferase, lactate dehydrogenase, and aspartate aminotransferase. Transferase interference was method-dependent, and findings were not consistent with the recommendation provided in the manufacturer's method description. Serious analytical errors are likely if heparinized plasma is substituted for serum without study in the user's own laboratory.
The correlation between calcification in carotid plaque and stroke: calcification may be a risk factor for stroke.

BACKGROUND There are few studies on the relationship between calcified plaques and stroke by ultrasound. We investigated the association between calcification in carotid plaque and stroke by analyzing the different characteristics of calcification and neovascularization distribution in heterogeneous plaques by both two-dimensional and contrast-enhanced ultrasound (CEUS). METHODS A total of 69 patients who were about to undergo carotid endarterectomy were selected between January 2016 and December 2017. Thirty-eight patients with cerebral ischemia were placed in the symptomatic group (amaurosis, TIA and no disability in the previous 6 months), and the other 31 patients, who were asymptomatic, were placed in the asymptomatic group. Two-dimensional ultrasound and CEUS were used to detect the calcification distribution characteristics and neovascularization in the plaques of all subjects. The differences of the calcification location, shape, quantity, and enhancement in the plaques were compared between the two groups. RESULTS There was no significant difference in calcification location between the two groups (P > 0.05). The symptomatic group had more nodular calcification but less strip calcification compared with the asymptomatic group (both P < 0.05). There was no significant difference in mixed morphologic calcification between the two groups (P > 0.05). The symptomatic group had a higher calcification quantity (P < 0.05). The symptomatic group exhibited more fibrous cap fracture and intra-plaque hemorrhage in H&E staining (χ2 = 17.133, P < 0.001, χ2 = 10.003, P = 0.003) and higher CD31 expression (t = 7.584, P = 0.000). CONCLUSIONS The quantity and shape of the calcification, and the presence of neovascularization adjacent to the calcification have certain effects on the stability of plaques. Multiple calcifications, nodular calcification, and neovascularization near calcification may cause plaque rupture and therefore might be risk factors for stroke. Our results suggest that the joint use of two-dimensional ultrasound and CEUS can provide comprehensive information on plaques to assess their stability.
Automatic Comment Generation using a Neural Translation Model

Comments help developers quickly understand the functionality of programming code. Unfortunately, creating these comments remains a labour-intensive task despite various help utilities for software development. In this thesis a new approach to automatic comment generation is proposed: the translation of programming code into comments. By posing the problem as a translation task the model can be more flexible in the generated results, and can be ported easily to other programming languages. A sequence to sequence model has been implemented to generate annotations for a code fragment, after training on a dataset containing code-annotation pairs. First the neural translation model was applied to a Django dataset to generate pseudocode annotations, achieving an accuracy of 41.6%. Subsequently the model was applied to a newly created code-comment dataset, containing 45367 code-comment pairs extracted from 6 open-source software projects. The model had difficulties with this dataset, as the achieved accuracy was relatively low at 10.7%. However, the performance of this translation approach mainly relies on the dataset, and it still has much room for improvement. In addition have a set of important factors been identified which are important for comment quality.
CLOUD COMPUTING BASED OPTIMIZING OF MULTIPLE VIRTUAL MACHINE USING LIVE MIGRATION

Cloud computing paradigm is enabling disruptive and innovative services by allowing enterprises to lease computing by using network, storage and host from physical infrastructure owners. This shift infrastructure management responsibility has brought new challenges and new revenue models to Cloud providers. One of those challenges is to competent the migrate multiple virtual machines (VMs) within the hosting infrastructure with less service interruptions. In this paper we first present a live-migration efficiency testing, captured on a production-level Linux-based virtualization platform, that motivates the need for a better Multi-Virtual machine migration strategy. We then propose a device whose goal is to optimize the bit rate allocation for the live-migration of multiple Virtual Machines and minimize the total migration time, defined as a trade1 International Journal of Pure and Applied Mathematics Volume 118 No. 24 2018 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl. eu/hub/ Special Issue http://www.acadpubl. eu/hub/
Correlates of prenatal and postnatal mother-to-infant bonding quality: A#_#x00A0;systematic review

1 Amsterdam UMC, Vrije Universiteit Amsterdam, Midwifery Science, AVAG, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands, 2 University of Groningen, University Medical Centre Groningen, Department of General Practice & Elderly Care Medicine, Groningen, the Netherlands, 3 Child and Adolescent Studies, Utrecht University, Utrecht, the Netherlands, 4 Amsterdam UMC, Vrije Universiteit Amsterdam, Department of General Practice & Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands, 5 NIVEL, Netherlands Institute for Health Services Research, Utrecht, the Netherlands
Secondary School Biology Students’ Attitudes towards Modern Biotechnology Characterised using Structural Equation Modeling

In biotechnology education research (BTER), the multifaceted construct of attitude has seldom been problematised in depth despite that the majority of studies in BTER during the last two decades have focused on students’ attitudes towards modern biotechnology. Most studies on attitudes in science education use a single-factor model in characterising students’ attitudes, while some use a three-factor model. By means of structural equation modeling the current study tested and evaluated single, three-factor, and bifactor models of student attitudes towards modern biotechnology. To further shed light on the stability of this model measurement invariance testing was carried out for groups; school-type, gender, grade, parental education and educational programme. The results showed that a three-factor model and a bifactor model showed satisfying fit to the student attitude data. The bifactor model were relatively invariant for all groups except for gender, where boys had a more positive attitude. The affective and behavioural aspects of attitudes were highly correlated why the bifactor model with its general factor and specific cognitive factor may provide a more sound explanation of students’ attitudes towards biotechnology. The results indicate the importance of including affective and behavioural dimensions of attitude in biotechnology teaching. Further implications for practice are discussed.