Peningkatan Kualitas Pembelajaran IPS melalui Model Cooperative Script Berbantuan Media Powerpoint di Kelas V SD Negeri 011 Desa Baru Kecamatan Siak Hulu Kabupaten Kampar

This research is motivated by low student learning outcomes. The purpose of this study is to improve the quality ofsocial science learning through model cooperative script on the students of class V SD Negeri 011 Desa Baru. Thedesign of this study uses a classroom action research consisting of three cycles, each one-time meeting cycleincluding planning, execution, observation, and reflection. Technique of collecting data using test and nontesttechnique (observation, interview, documentation). The results showed that the skills of teacher cycle I score 21sufficient criterion, cycle II score 27 good criterion, and cycle III score 32 criteria very good; student activity cycleI score 17 with sufficient criteria, cycle II score 21 with very good criteria, and cycle III score 24 criteria is verygood; classical completeness of cycle I is 57%, cycle II to 70%, and cycle III to 87%. From the results of this studycan be concluded that the model coopertave script with media powerpoint in SD Negeri 011 Desa Baru has beenable to improve teacher skills, student activities, and student learning outcomes

Impact of Post-Hospital Discharge Follow-up Phone Calls on 30-day Readmission Rates

Introduction: The rate at which patients get readmitted to any hospital within 30-days of their initial admission is known as the 30-day hospital readmission rate. These readmission rates are costly but can be prevented. The two common causes for hospital readmissions include lack of understanding regarding patient medications and postdischarge follow-up with the provider. Post-discharge follow-up calls help to clear these misunderstandings and is beneficial in reducing readmission rates. Methods: The literature search was conducted through the website of NIH National Library of Medicine, PubMed database and Google Scholar search using the keywords listed below. The review of 36 peer-reviewed, evidence-based articles that met the inclusion criteria was completed. Gaps: There was a gap in the evidence as to what makes an effective telephone follow-up program. Literature gap exists on who is the ideal person to make the call, the frequency, timing, and the content of the calls. There were limited studies to derive conclusions considering multiple diagnoses of patients and multi-factored outcomes. Recommendations for Practice: Several studies recommended post-discharge telephone follow-up calls in reducing 30-day hospital readmissions

IT infrastructure & microservices authentication

Mestrado IPB-ESTGBIOma - Integrated solutions in BIOeconomy for the Mobilization of the Agrifood chain project is structured in 6 PPS (Products, Processes, and Services) out of which, a part of PPS2 is covered in this work. This work resulted in the second deliverable of PPS2 which is defined as PPS2.A1.E2 - IT infrastructure design and graphical interface conceptual design. BIOma project is in the early stage and this deliverable is a design task of the project. For defining the system architecture, requirements, UML diagrams, physical architecture, and logical architecture have been proposed. The system architecture is based on microservices due to its advantages like scalability and maintainability for bigger projects like BIOma where several sensors are used for big data analysis. Special attention has been devoted to the research and study for the authentication and authorization of users and devices in a microservices architecture. The proposed authentication solution is a result of research made for microservices authentication where it was concluded that using a separate microservice for user authentication is the best solution. FIWARE is an open-source initiative defining a universal set of standards for context data management that facilitates the development of Smart solutions for different domains like Smart Cities, Smart Industry, Smart Agrifood, and Smart Energy. FIWARE’s PEP (Policy Enforcement Point) proxy solution has been proposed in this work for the better management of user’s identities, and client-side certificates have been proposed for authentication of IoT (Internet of Things) devices. The communication between microservices is done through AMQP (Advanced Message Queuing Protocol), and between IoT devices and microservices is done through MQTT (Message Queuing Telemetry Transport) protocol

Concurrency in Blockchain Based Smartpool with Transactional Memory

Blockchain is the buzzword in today\u27s modern technological world. It is an undeniably ingenious invention of the 21st century. Blockchain was first coined and used by a cryptocurrency namedBitcoin. Since then bitcoin and blockchain are so popular that every single person is taking on bitcoin these days and the price of bitcoin has leaped to a staggering price in the last year and so.Today several other cryptocurrencies have adapted the blockchain technology. Blockchain in cryptocurrencies is formed by chaining of blocks. These blocks are created by the nodes called miners through the process called Proof of Work(PoW). Mining Pools are formed as a collection of miners which collectively tries to solve a puzzle. However, most of the mining pools are centralized. P2Pool is the first decentralized mining pool in Bitcoin but is not that popular as the number of messages exchanged among the miners is a scalar multiple of the number of shares. SmartPool is a decentralized mining pool with the throughput equal to that of the traditional pool. However, the verification of blocks is done in a sequential manner. We propose a non-blocking concurrency mechanism in a decentralized mining pool for the verification of blocks in a blockchain. Smart contract in SmartPool is concurrently executed using a transactional memory approach without the use of locks. Since the SmartPool mining implemented in ethereum can be applied to Bitcoin, this concurrency method proposed in ethereum smart contracts can be applicable in Bitcoin as well

Association of Anti-Mullerian Hormone with C-Reactive Protein in Men

While serum anti-mullerian hormone (AMH) levels are inversely associated with all-cause mortality in men, the underlying mechanisms are unclear. Elevated levels of inflammation, also associated with all-cause mortality, and may be the link between AMH and mortality. Hence, we examined the association of AMH with serum c-reactive protein (CRP), a biomarker of inflammation, in men. We included men ≥20 years from the National Health and Nutrition Examination Survey (1999–2004). We used survey weight-adjusted linear regression to examine the association between AMH and CRP without and with adjustment for age, race, body mass index (BMI), smoking, hypertension, diabetes, cholesterol, glomerular filtration rate (GFR), testosterone, androstenedione, and sex hormone binding globulin. Of the 949 men, 212 (22%) were elderly, 493 (52%) Caucasian, 254 (27%) current smokers, 100 (10%) diabetics, and 312 (33%) had hypertension. Mean (SD) AMH was 8.4 (7.2) ng/mL and median (IQR) CRP level was 0.17 (3) mg/L. Using linear regression, each 10 ng/mL rise in AMH was associated with 0.09 mg/dL (95%CI = −0.14 to −0.03; p = 0.002) decrease before and 0.08 mg/dL (95%CI = −0.13 to −0.02; p = 0.004) decrease in CRP after adjusting for potential confounders. Similarly, men in the highest quartile of AMH had significantly lower CRP compared to those in the lowest quartile (unadjusted difference = −0.19 mg/dL; 95%CI = −0.31 to −0.06; p = 0.006, adjusted difference = −0.16 mg/dL; 95%CI = −0.3 to −0.01; p = 0.035). We found an independent, robust, and inverse association between CRP and AMH in men. Effect of AMH on mortality may be through amelioration of inflammation

MULTI-PARENTAL MATING DESIGN ANALYSIS: MODEL EVALUATION AND APPLICATION IN SPRING WHEAT

Conventional quantitative genetics studies have mainly focused on bi-parental mating systems. However, genetic potential of selected individuals within a segregating population may be limited due to only two parents being used for each cross. Multiple-parental mating systems have been proposed that involve three or four diverse parents. This provides a higher potential of combining desirable genes. Due to complexity of the data structure of multi-parental mating systems, analysis of variance (ANOVA) methods are not applicable in analysis. The objective of this study is to validate and apply a mixed linear model approach, minimum norm quadratic unbiased estimation (MINQUE), to analyze a widely used additive-dominance (AD) genetic model. Various simulations were conducted to validate the use of this approach. Twelve different spring wheat genotypes were used to develop populations in the study. Phenotypic data containing parents and their F2 (second filial generation) on preharvest sprouting (PHS) resistance in spring wheat (Triticum aestivum L.) developed by multi-parental crosses were used as a demonstration. The simulation study showed that a modified AD model can be used to estimate variance components in an unbiased manner within this complex data structure. Actual data analysis revealed that both additive and dominance effects were responsible for PHS resistance. Several parents associated with desirable additive effects for PHS were identified. In addition, some crosses with desirable heterozygous dominance effects were also identified, which can be used for hybrid development. Results should help breeders to obtain useful genetic information by using the methods suggested in this study

“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma

Background: In the traditional asthma management protocol, a child meets with a clinician infrequently, once in 3 to 6 months, and is assessed using the Asthma Control Test questionnaire. This information is inadequate for timely determination of asthma control, compliance, precise diagnosis of the cause, and assessing the effectiveness of the treatment plan. The continuous monitoring and improved tracking of the child’s symptoms, activities, sleep, and treatment adherence can allow precise determination of asthma triggers and a reliable assessment of medication compliance and effectiveness. Digital phenotyping refers to moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices, in particular, mobile phones. The kHealth kit consists of a mobile app, provided on an Android tablet, that asks timely and contextually relevant questions related to asthma symptoms, medication intake, reduced activity because of symptoms, and nighttime awakenings; a Fitbit to monitor activity and sleep; a Microlife Peak Flow Meter to monitor the peak expiratory flow and forced exhaled volume in 1 second; and a Foobot to monitor indoor air quality. The kHealth cloud stores personal health data and environmental data collected using Web services. The kHealth Dashboard interactively visualizes the collected data. Objective: The objective of this study was to discuss the usability and feasibility of collecting clinically relevant data to help clinicians diagnose or intervene in a child’s care plan by using the kHealth system for continuous and comprehensive monitoring of child’s symptoms, activity, sleep pattern, environmental triggers, and compliance. The kHealth system helps in deriving actionable insights to help manage asthma at both the personal and cohort levels. The Digital Phenotype Score and Controller Compliance Score introduced in the study are the basis of ongoing work on addressing personalized asthma care and answer questions such as, “How can I help my child better adhere to care instructions and reduce future exacerbation?” Methods: The Digital Phenotype Score and Controller Compliance Score summarize the child’s condition from the data collected using the kHealth kit to provide actionable insights. The Digital Phenotype Score formalizes the asthma control level using data about symptoms, rescue medication usage, activity level, and sleep pattern. The Compliance Score captures how well the child is complying with the treatment protocol. We monitored and analyzed data for 95 children, each recruited for a 1- or 3-month-long study. The Asthma Control Test scores obtained from the medical records of 57 children were used to validate the asthma control levels calculated using the Digital Phenotype Scores. Results: At the cohort level, we found asthma was very poorly controlled in 37% (30/82) of the children, not well controlled in 26% (21/82), and well controlled in 38% (31/82). Among the very poorly controlled children (n=30), we found 30% (9/30) were highly compliant toward their controller medication intake—suggesting a re-evaluation for change in medication or dosage—whereas 50% (15/30) were poorly compliant and candidates for a more timely intervention to improve compliance to mitigate their situation. We observed a negative Kendall Tau correlation between Asthma Control Test scores and Digital Phenotype Score as −0.509 (P\u3c.01). Conclusions: kHealth kit is suitable for the collection of clinically relevant information from pediatric patients. Furthermore, Digital Phenotype Score and Controller Compliance Score, computed based on the continuous digital monitoring, provide the clinician with timely and detailed evidence of a child’s asthma-related condition when compared with the Asthma Control Test scores taken infrequently during clinic visits

Low NT-proBNP levels in overweight and obese patients do not rule out a diagnosis of heart failure with preserved ejection fraction

Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome that presents clinicians with a diagnostic challenge. The use of natriuretic peptides to exclude a diagnosis of HFpEF has been proposed. We sought to compare HFpEF patients with N-terminal pro-brain natriuretic peptide (NT-proBNP) level above and below the proposed cut-off. Methods Stable patients (n = 30) with left ventricular (LV) ejection fraction ≥ 50% were eligible if they had a diagnosis of HF according to the European Society of Cardiology diagnostic criteria. Characteristics of patients with NT-proBNP below (≤125 pg/mL) and above (\u3e125 pg/mL) the diagnostic criterion were compared. Results There were 19 (66%) women with median age 54 years. Half were African American (16, 53%), and most were obese. There were no significant differences in clinical characteristics or medication use between groups. LV end-diastolic volume index was greater in high NT-proBNP patients (P = 0.03). Left atrial volume index, E/e\u27 ratio, and E/e\u27 ratio at peak exercise were not significantly different between NT-proBNP groups. Peak oxygen consumption (VO2), VO2 at ventilatory threshold, and ventilatory efficiency measures were impaired in all patients and were not significantly different between high and low NT-proBNP patients. Conclusions NT-proBNP was below the proposed diagnostic cut-off point of 125 pg/mL in half of this obese study cohort. Cardiac diastolic dysfunction and cardiorespiratory fitness were not significantly different between high and low NT-proBNP patients. These data indicate that excluding the diagnosis of HFpEF based solely on NT-proBNP levels should be discouraged