Miracle-dz/UniFAR-FTUs huggingface dataset:
Codesigned Shared Decision-Making Diabetes Management Plan Tool for Adolescents With Type 1 Diabetes Mellitus and Their Parents: Prototype Development and Pilot Test

Background Adolescents with type 1 diabetes mellitus have difficulty achieving optimal glycemic control, partly due to competing priorities that interfere with diabetes self-care. Often, significant diabetes-related family conflict occurs, and adolescents’ thoughts and feelings about diabetes management may be disregarded. Patient-centered diabetes outcomes may be better when adolescents feel engaged in the decision-making process. Objective The objective of our study was to codesign a clinic intervention using shared decision making for addressing diabetes self-care with an adolescent patient and parent advisory board. Methods The patient and parent advisory board consisted of 6 adolescents (teens) between the ages 12 and 18 years with type 1 diabetes mellitus and their parents recruited through our institution’s Pediatric Diabetes Program. Teens and parents provided informed consent and participated in 1 or both of 2 patient and parent advisory board sessions, lasting 3 to 4 hours each. Session 1 topics were (1) patient-centered outcomes related to quality of life, parent-teen shared diabetes management, and shared family experiences; and (2) implementation and acceptability of a patient-centered diabetes care plan intervention where shared decision making was used. We analyzed audio recordings, notes, and other materials to identify and extract ideas relevant to the development of a patient-centered diabetes management plan. These data were visually coded into similar themes. We used the information to develop a prototype for a diabetes management plan tool that we pilot tested during session 2. Results Session 1 identified 6 principal patient-centered quality-of-life measurement domains: stress, fear and worry, mealtime struggles, assumptions and judgments, feeling abnormal, and conflict. We determined 2 objectives to be principally important for a diabetes management plan intervention: (1) focusing the intervention on diabetes distress and conflict resolution strategies, and (2) working toward a verbalized common goal. In session 2, we created the diabetes management plan tool according to these findings and will use it in a clinical trial with the aim of assisting with patient-centered goal setting. Conclusions Patients with type 1 diabetes mellitus can be effectively engaged and involved in patient-centered research design. Teens with type 1 diabetes mellitus prioritize reducing family conflict and fitting into their social milieu over health outcomes at this time in their lives. It is important to acknowledge this when designing interventions to improve health outcomes in teens with type 1 diabetes mellitus.
Temperature Process Monitoring and Control using LabVIEW

This paper represents theLabVIEW based simulation design of Proportional-Integral-Derivative (PID) for Temperature control. It project aims at designing and implements a PID controller for temperature process. Temperature control of a liquid in a heating tank is achieved by a PID controller through switching a heater on and off.The PID controller gives response outputs which have minimum steady state error so this used in this process. The process block diagram formulated using LabVIEW icons, indicators and controls. This LabVIEW program saves the user time to identify and understand the operations of the process very easily by viewing the process flow.
FOSTERING INCLUSIVE EDUCATION BY ENHANCING COLLABORATIVE SKILLS

Collaboration problem solving (CPS) skills deserve to be considered as one of the key educational outcomes. As a result, any definition of inclusive education has to recognize the importance of CPS among students with and without disabilities, with diverse socio-economic and cultural background. This paper is based on a systematic review of the literature on the relationship between CPS and attributes such as wealth, ethnicity, immigration, minority language, and special needs, as well as on analyses of data from the Programme for International Student Assessment (PISA). This study presents evidence showing that generalized trust, openness and agreeableness have positive effects on CPS. It also shows that migrant students, as well as students speaking a minority language, received similar CPS scores with the rest of the students in the vast majority of societies, whereas students with low economic status tend to be associated with low values of CPS scores in all countries. At the same time, the non-cognitive component of CPS has fewer negative determinants among the variables that measure minority status than the cognitive component. In addition, schools that cultivate good relationships with parents and between parents and students tend to be a resource for collaboration skills of the students. Finally, developing collaborative skills in school seems to be an effective way for making a positive learning environment. Given the limited evidence and divergent patterns between countries regarding these links, a better mapping of teaching interventions that encourage pro social attitudes and norms among vulnerable students, and a move towards employing research designs with greater leverage for drawing causal inference, are necessary.
Clinical utility of virtual reality in pain management: a comprehensive research review

Virtual reality is a technology that allows users to experience a computer-simulated reality with visual, auditory, tactile and olfactory aspects. In recent decades, there has been considerable interest in using virtual reality for clinical purposes, including pain management. This articles describes a systematic review of research on virtual reality and pain management, with the aim of examining the feasibility of using virtual reality technologies and content design approaches in real-world clinical situations. More specifically, this article focuses on consumer virtual reality technologies. An exhaustive search identified 29 relevant studies from 2009 to 2016. Overall, the studies indicate that virtual reality is an effective technology to ameliorate pain in clinical settings. However, their results are inconclusive. Further research is needed to discover under which circumstances virtual reality is an efficient tool and the attributes or characteristics of virtual reality that are crucial in pain mana.
Intrusion Detection System for DoS Attack in Cloud

Open and distributed nature of cloud, vulnerability of internet, different limitations of cloud service models are some of key features for the attraction of various attackers. One of the security concern for cloud is denial of service attack. Due to effect of this attack, legitimate users request are not processed. A Defense mechanism is required to secure network from such sophisticated attacks. Intrusion detection is mainly used to identify attacks and log the reports. Intrusion detection system is proposed based on knowledge multithreaded system. Single technique is not sufficient enough to detect such attacks. Multithreaded knowledge based IDS has been proposed to detect DOS attacks.
Internet in Education System: A Review

: In this paper we will discuss uses of internet in education system and its drawbacks. Not long ago, some ten years or even less, we did not know much about the modern Internet; we could not imagine its facilities and our life with it. The Internet swiftly entered the life of the humankind in the 20th century. It took us less than ten years to face the reality of its spreading all over the world, including the developing countries. It has become not only the hugest information resource in the world, but – what is even more important – the most rapid means of communication. The Internet is a container with enormous information at hand, available so quickly and cheap that we never had before. With all these advantages at our disposal we have also faced its disadvantages which will be discussed in this paper along with the conclusion which summarizes the points discussed while incorporating the contents of this paper.
DESIGN AND DEVELOPMENT OF NOVEL EFFECTIVE HYBRID PREDICTION FRAMEWORK FOR DIABETES USING SIMPLE K-MEANS AND M-TREE

— Diabetes has a very high rate everywhere throughout the world. For the prevention and treatment of diabetes, early detection is demanded. These days, data mining methods are increasing expanding significance in the medicinal diagnosis field by their classification ability. In this paper, a hybrid prediction demonstrates is proposed to help the diagnosis of diabetes. In the proposed model, K-means is utilized for data reduction with the J48 M-TREE as a classifier for classification. With the end goal to get the exploratory outcome, we utilized the Pima Indians Diabetes Dataset from the UCI Machine Learning Repository. The outcome demonstrates that the proposed model has achieved better precision contrasted with different past investigations that mentioned in the writing. Based on the outcome, it very well may be demonstrated that the proposed model would be useful in diabetes diagnosis.
Glassy cell carcinoma of cervix: an analysis for 20 cases and literatures review

Background Glassy cell carcinoma (GCC) of the cervix is defined as a rare subtype of adeno-squamous cell carcinoma (ASC) with poor prognosis. We presented our clinical data of patients with cervical GCC and reviewed the outcomes in recent years. Methods From 2011.1 to 2019.7, 20 cases of cervical GCC diagnosed and treated in our institution were reviewed for clinicopathologic features, treatment strategies, and outcomes. Results (I) Twenty cases confirmed as cervical GCC were selected and represented 1.8% of all invasive cervical cancer diagnoses. The median age of all cervical GCC patients was 46 years (range from 33 to 69 years). The main clinical symptoms were abnormal vaginal bleeding and postcoital bleeding. The incidence of stage I, stage II, stage III was 75%, 20% and 5%. (II) Human papillomavirus (HPV) prevalence in cervical GCC was 44.4% (4/9). Of the HPV-positive tumors, HPV genotyping was variable. Tumors of 3 cases were found infected by HPV-18. Another tumor was infected by HPV-16 and HPV-31. Multiple infections were found in 1 case. (III) The disease-free survival (DFS) of early stage cervical GCC cases was 93%, and DFS of advanced stage cervical GCC cases was 67%. DFS of all cases was 85%. The median follow-up interval for surviving patients was 28 months. Three patients recurred, leading to an overall recurrence rate of 15% (3/20). One of 3 recurred cases was from multimodal treatment group who had one high risk factor (pelvic lymph node metastasis) and three intermediate risk factors lympho-vascular space involvement (LVSI), deep stromal invasion, and large tumor size (3.5 cm). Other 2 cases recurred were from radio-chemotherapy group. Conclusions Cervical GCC is associated with high-risk type HPV infection, especially HPV 18. The prognosis of GCC was not poor as depicted in previous studies. Early-stage GCC patients should receive multimodal treatment which reduced recurrence rate and improved survival rate. With the limitation of small sample size, we speculated surgery might play a key role in curing GCC. Patients whose pathology features includes at least two intermediate high risk recurrence or one high risk factor should accept adjuvant treatment after complete surgical management.
Cutaneous manifestations in pregnant women

Correspondence: Dr. Maria Magdalena Constantin e-mail: drmagdadinu@ yahoo.com During pregnancy, various cutaneous manifestations of physiological or pathological nature can develop from hormonal, metabolic or immunologic changes which occur during this period. The physiological manifestations can include pigmentation, vascular manifestations, hair, nail modifications and structural modifications of the skin. Pathological manifestations can include dermatoses which occur for the first time during pregnancy and pre-existing dermatoses which worsen or improve during pregnancy.
Mini-Implantate zur kieferorthopädischen Verankerung im anterioren Gaumen – mediane vs. paramediane Insertion

Benedic In den letzten Jahren wurden diverse skelettale Verankerungshilfen (TADs, Temporary anchorage devices) eingeführt, um die Notwendigkeit der Patienten-Compliance und von dentalen Nebenwirkungen im Rahmen einer kieferorthopädischen Behandlung zu reduzieren. Insbesondere der anteriore Gaumen hat sich dabei als verlässliche und sehr geeignete Insertionsregion herausgestellt. Hier können die (Mini-) Implantate sowohl median als auch paramedian inseriert werden. Die Lagebeziehung zur Sutura palatina mediana und des Canalis incisivus sprechen eher für eine paramediane Insertion, während die Lage zu den Inzisivenwurzeln, das median größere Knochenangebot und die biomechanische Kopplung in Belastungsrichtung eher für eine mediane Insertion sprechen. Die Insertionsregion der Mini-Implantate sollte sich an der Behandlungsaufgabe, für die die (Mini-)Implantate genutzt werden, orientieren.
A Technique Approaching for Catching User Intention with Textual and Visual Correspondence

 Abstract — The rapid expansion in web environment and advancement in technology have led us to access and manage enormous images easily in various fields. Present internet image search engines purely faith on keyword based information over images. Keywords provided by user cannot determine content of images correctly. Resultant images comprised of several disordered and uncertain images. To clarify this doubtfulness in keyword-based image search, it is valuable to use visual details of image. System has been designed to overthrown unpredictability of images such that users aim can be determined by one click internet Image search. User preferred a query image in set of images returned by expanded keyword-based search. This technique provides extra clusters generated by applying combination of candidate words and visual features of images by Scale Invariant Feature Transform (SIFT) algorithm. Weight of image is calculated by providing procedure of weight adaption. Results are refined by re-arranging of images by homogeneity calculation. Message Digest (MD5) hash function is used for detecting and removing duplicate images. Resolution of images is considered for further enhancing quality of images. Intention of user is estimated by combining textual and visual resemblance without utilizing extra efforts. An experimental observation determines expressive enrichment in concern with user justice and significancy.
Water Quality Analysis and Prediction using Machine Learning Algorithms

: The main objective of this work is to measure water quality using machine learning algorithms. A Water Quality Index (WQI) is a numeric expression used to evaluate the quality of a given water body. In this paper the following water quality parameters were used to evaluate the overall water quality in terms of the WQI. These parameters were as temp, dissolved oxygen (DO) (% sat), pH, conductivity, Biochemical oxygen demand (BOD), nitrates (NO3), faecal and total coli forms (TC). These parameters are used as feature vector to represent the water quality. In paper five kinds of classification algorithms, namely Navie Bayes(NB), Decision Tree(DT), K-Nearest Neighbor (KNN), Support Vector Machine(SVM), and Random Forest(RF) were employed to predict the water quality class. Experiments were conducted using the real dataset containing the details from various places in Tamil Nadu as well as the synthetic dataset generated on the basis
A High Step up DC-DC Converter for AC Photovoltaic Module Application

This project proposes within the photovoltaic (PV) power-generation market, the ac PV module has shown obvious growth. However, a high voltage gain converter is essential for the module’s grid connection through a dc–dc inverter. This paper proposes a converter that employs a floating active switch to isolate energy from the PV panel when the ac module is OFF; this particular design protects installers and users from electrical hazards. Without extreme duty ratios and the numerous turns-ratios of a coupled inductor, this converter achieves a high step-up voltage-conversion ratio; the leakage inductor energy of the coupled inductor is efficiently recycled to the load. These features explain the module’s high-efficiency performance. The detailed operating principles and steady-state analyses of continuous, discontinuous, and boundary conduction modes are described. A 6 V input voltage, 60 V output voltage prototype circuit of the proposed converter has been implemented; its maximum efficiency is up to 95% and full-load efficiency is 92%.
Safety Fear/Attacks Current in Cloud Environment

: Cloud computing is a popular subject across the IT industry, but risks associated with this new technology and delivery model is not yet well understood. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. The boom in cloud computing has brought lots of security challenges for the consumers and service providers. How the end users of cloud computing know that their information i s not having any availability and security issues? In this paper we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing and propose relevant solution directives to strengthen security in the Cloud environment. We also propose secure cloud architecture for organizations to strengthen the security IndexTerms
Inferring User Search Goals using Feedback

 Abstract — For a wide subject and ambiguous query, diverse users may have distinctive search objectives when they submit it to a web search engine. The derivation and examination of user pursuit objectives i.e. goals can be extremely helpful in enhancing web search tool significance and user experience. In this, we propose a methodology to gather user look objectives by examining internet searcher query logs. In the first place, we propose a structure to find diverse user hunt objectives down a query by grouping i.e clustering the proposed feed-back sessions. Input sessions are developed from user navigate logs and can effectively reflect the data needs of users. Second, we propose a methodology to produce pseudo documents to better represent the feed-back sessions for grouping. At last, we propose another measure "Classified Average Precision (CAP)" to assess the execution of deriving user look objectives.
A Preferential DL Approach to Model the Non bis in idem Principle for the Legal Domain

Description Logics (DLs) are a family of formalisms that emerged to balance the trade-off between expressiveness and decidability for classical monotonic logic. Often, the research developed under the umbrella of AI & Law has relied on full synergy with DL to support argumentation reasoning, decision systems, legal compliance checking, and axiomatization of rationales and assumptions in the legal domain. Nevertheless, in many legal scenarios, regulations are defeasible. Inferences within the legal ﬁeld are not purely deductive in nature, but retractable and ampliative, since generalizations mostly hold for normal or typical cases. This is absolutely true in the criminal domain, where general criminal types are usually described in the caput of the norms (e.g., a robbery), and other speciﬁc types unfold from these (e.g., robbery followed by death, which is known as “Latrocínio” in Brazilian Criminal law). Although the classical subsumption relation may seem a correct way to model the hierarchy of laws at ﬁrst glance, if no contradiction arises between the more general and more speciﬁc, what it should be pointed out that the penalty for speciﬁc crimes cancel out the penalties foreseen by the more general laws. In other words, a hierarchy of norms must not rely on classical subsumption relation; instead, a non-monotonic approach suits better in this setting. Therefore, in this paper, we show that Preferential DL, a defeasible version of Description Logic, is better suited than classical DLs for a faithful representation of the content of legal regulatory knowledge; in particular, w.r. t. the representation of the principle of Double Jeopardy (a.k.a. Non/Ne bis in idem ). In this paper, we make the case for the application of ontologies represented in defeasible, preferential DLs for modelling laws and penalties. Our solution focuses on overrule relations to organize a set of defeasible axioms in terms of speciﬁcity criteria.
DESIGN OF SUB-THRESHOLD ADIABATIC LOGIC BASED JOHNSON'S RING COUNTER

: Power dissipation in VLSI circuits has become increasingly important for modern portable devices. Adiabatic is a novel energy conserving logic for ultra-low power circuits. Adiabatic logic is energy efficient and less logic overhead. Fully adiabatic and partial energy recovery adiabatic circuits are two major logics which work for wide range of frequency. Sub-threshold adiabatic logic is a novel approach for low energy consumption and low speed digital circuits which work for low frequency. A Johnson's ring counter circuit is designed using static CMOS and SAL using CADENCE 45nm technology. Hence in this proposed system the Johnson’s ring counter is tested and the power dissipation is obtained.
Development and validation of an acoustic-electrical joint testing system for hydrate-bearing porous media

Acoustic and electrical properties are fundamental and important physical properties to characterize hydrate-bearing sediments. A new experimental system called Ultrasound Combined with Electrical Impedance was developed for jointly testing the ultrasonic wave parameters and electrical impedance of hydrate-bearing porous media in the hydrate formation and decomposition processes. The Ultrasound Combined with Electrical Impedance system features its novel ultrasonic-electrical compound sensors and sensor array, fully controllable instruments, variety of sampled data, and flexible working modes. Experiment was carried out with methane gas as the hydrate former, meanwhile the acoustic/electrical parameters were derived. The acoustic/electrical properties were characterized with the aid of typical models such as the time-average equation, Wood’s equation, weighted equation, and Archie’s formula. It has been shown by the results that key parameters such as the sound velocity and electrical impedance can be used to characterize the acoustic and electrical properties of hydrate-bearing sediments conjointly, demonstrating the applicability of the proposed Ultrasound Combined with Electrical Impedance system. The wavelet-analysis based denoising approach and singularity detection method are effective denoising methods to filter the ultrasound signals and to identify the arriving time of the ultrasonic wave. The weighted equation and Archie’s formula with a segmented regression method are recommended for modeling the relations between the hydrate saturation and sound velocity/impedance modulus, respectively.