Miracle-dz/UniFAR-FTUs huggingface dataset:
The Study of Misconceptions on Motion’s Concept and Remediate Using Real Experiment Video Analysis

In physics, the concept of motion studied in the mechanics that studies the movement of an object. Many studies have revealed that the concepts of motion are common misconceptions, either by students and teachers. In general, misconception occurs because prior knowledge obtained by the students when interacting with nature before they enter school institutions. Misconceptions tend to be resistant until they are graduate if not done remediation through real experience. This study aims to analyze student misconceptions about the motions and provide solutions with real experimental video analysis. The method used is a survey and study of literature. Data were obtained from standard test FCI (Force Concept Inventory) with the reasons of answers and semester middle test. Seacrhing national and international journals and conducted workshops to explain the benefit of video analysis in real experiments in an effort to remediate misconceptions. The results of this study explains misconceptions occur in the first year students, especially in the matter of the motion. Students can't relate between the concepts of motion with the equation that explains the concept. Real experimental video analysis is required to remediate the student misconceptions about motion through Tracker program. The real experiment provides a real experience for students to conduct trials like a scientist. Video analysis through the Tracker program guided the students in analyzing each component of motion in detail, such as displacement, velocity, acceleration, energy, and momentum and relate it to the equation. The combination of visualization video and graphical analysis generated on every process of motion can enhance the understanding of the concept and is expected to remediate misconceptions students.
Stoichiometric constraints modulate temperature and nutrient effects on biomass distribution and community stability

Temperature and nutrients are two of the most important drivers of global change. Both can modify the elemental composition (i.e. stoichiometry) of primary producers and consumers. Yet their combined effect on the stoichiometry, dynamics and stability of ecological communities remains largely unexplored. To fill this gap, we extended the Rosenzweig–MacArthur consumer–resource model by including thermal dependencies, nutrient dynamics and stoichiometric constraints on both the primary producer and the consumer. We found that stoichiometric and nutrient conservation constraints dampen the paradox of enrichment and increased persistence at high nutrient levels. Nevertheless, stoichiometric constraints also reduced consumer persistence at extreme temperatures. Finally, we also found that stoichiometric constraints and nutrient dynamics can strongly influence biomass distribution across trophic levels by modulating consumer assimilation efficiency and resource growth rates along the environmental gradients. In the Rosenzweig–MacArthur model, consumer biomass exceeded resource biomass for most parameter values whereas, in the stoichiometric model, consumer biomass was strongly reduced and sometimes lower than resource biomass. Our findings highlight the importance of accounting for stoichiometric constraints as they can mediate the temperature and nutrient impact on the dynamics and functioning of ecological communities.
A study of the outcome of acute encephalitis syndrome in children

Background: Acute encephalitis syndrome (AES) is defined as a person of any age, at any time of the year, with acute onset of fever and a change in mental status (including symptoms such as confusion, disorientation, coma, inability to talk) and/or new onset of seizures (excluding simple febrile seizures) [WHO]. Japanese encephalitis (JE) is one of the leading causes of AES affecting children and adolescents in the tropical countries. Objective of the study were to study the outcome of children with AES. The study was conducted in the department of pediatrics, Gauhati medical college and hospital, Guwahati from 1st July 2016 to 30th June 2017.Methods: Patients admitted in the pediatrics department of Gauhati medical college and hospital, Guwahati with diagnosis of AES during the study period were taken into account based on inclusion and exclusion criteria.Results: It has been observed that age, awareness among caregivers, poor GCS, multiple seizures, shock are important factors in the outcome of AES.Conclusions: From the present study, prognosis of the cases may be predicted and measures taken to improve outcome
Wearable Cardioverter–Defibrillator-Measured Step Count for the Surveillance of Physical Fitness during Cardiac Rehabilitation

Background: The wearable cardioverter–defibrillator (WCD) has a built-in accelerometer, which allows tracking of patients’ physical activity by remote monitoring. It is unclear whether WCD-measured physical activity, step count, and heart rate correlate with established tools for the assessment of cardiopulmonary fitness such as the 6-min walk test (6MWT). Objective: To correlate measurements of patient physical activity through the WCD with a supervised 6MWT during in-patient cardiac rehabilitation (CR) and to allow their use as surrogate parameters of cardiopulmonary fitness in an out-patient setting. Methods: Consecutive patients with a history of WCD use treated at our center and an in-patient CR following an index hospitalization were included. Baseline characteristics, measurements of WCD accelerometer (median daily step count, median daily activity level), median daily heart rate, and clinically supervised 6MWT at admission and discharge of CR were obtained. Results: Forty-one patients with a mean age of 55.5 (±11.5) years were included. Thirty-five patients (85.4%) were male and 28 patients (68%) had a primary prophylactic WCD-indication. The most common underlying heart diseases were ischemic heart disease (24 patients 58.6%) and dilated cardiomyopathy (13 patients, 31.7%). Median CR duration was 20 (IQR 19.75–26.25) days. 6MWT distance increased from a mean of 329 m (±107) to 470 m (±116) during CR (p < 0.0001). The median daily step count and activity level increased significantly, from 5542 steps (IQR 3718–7055) to 8778 (IQR 6229–12,920, p < 0.0001) and median 117 × 106 (IQR 96 × 106–142 × 106) threshold value exceedance (TVE) to 146 × 106 TVE (IQR 110 × 106–169 × 106, p < 0.0001), respectively. The median heart rate was 74.9 bpm (IQR 65.8–84.5) and 70.2 (IQR 64.1–77.3, p = 0.09) at admission and discharge, respectively. Of all three parameters, median daily step count showed the best correlation to the results of the 6MWT at admission and discharge (r = 0.32, p = 0.04 and 0.37, p = 0.02, respectively). Conclusions: Remote monitoring of median daily step count as assessed by the WCD’s accelerometer showed positive correlation with the 6MWT and could serve as a surrogate for cardiopulmonary exercise capacity. Assessment of daily step count and activity level measured remotely by the WCD could help to tailor optimal exercise instruction for patients not attending CR.
BOSS: Bargaining-Based Optimal Slot Sharing in IEEE 802.15.6-Based Wireless Body Area Networks

In this article, we propose a method to solve the problem of optimal distribution of slots among sensor devices associated in wireless body area networks (WBANs). Modern healthcare is witnessing a paradigm shift due to the recent developments in Internet of Things (IoT), and WBAN is a fundamental enabling component of IoT-based healthcare. In a WBAN, sensors and actuators are implanted in patients (both on-body and in-body) connected to a hub to monitor health conditions ubiquitously and in real time. WBANs deal with heterogeneous sensors with diverse resource demands and constraints. Optimal allocation of data transmission slots among these heterogeneous sensors is a real challenge. Thus, in this article, we propose a cooperative game-theoretic approach, based on the Nash bargaining solution (NBS), for allocating slots for sensor devices in WBANs where the sensors communicate with each other following the IEEE 802.15. 6 standard. We also compare the performance of our work with this standard and other relevant benchmarks to show the efficacy of the proposed solution. The proposed bargaining-based optimal slot sharing (BOSS) algorithm yields 26.68% better reliability and 38.07% better throughput, on an average, than the traditional IEEE 802.15. 6 standard.
Assessment of Snowmelt Quality Discharging from a Cold-Climate Urban Landscape During Spring Melt

Stormwater results from precipitation events and melting snow running off urban landscapes and typically being released into receiving water bodies with little to no treatment. Despite evidence of its deleterious impacts, snowmelt (SM) management and treatment are limited, partly due to a lack of quality and loading data. This study examines snowmelt quality during the spring for a cold-climate, semi-arid Canadian city (Saskatoon, Saskatchewan). Four snow storage facilities receiving urban snow plowed from roads in mixed-land-use urban catchments (228 km2) were sampled including snow piles (five events) and SM (twelve events) runoff in 2019 and 2020. Samples were analyzed for pH, EC, TDS, TSS, COD, DOC, metals, chloride, PAHs, and Raphidocelis subcapitata and Vibrio fischeri toxicity. Notable event-specific TSS spikes occurred on April 13th, 2019 (3,513 mg/L) and April 24th, 2019 (3,838 mg/L), and TDS, chloride, and manganese on March 26th, 2020 (15,000 mg/L, 5,800 mg/L, 574 mg/L), April 17th, 2020 (5,200 mg/L, 2,600 mg/L, 882 mg/L), and April 23rd, 2020 (5,110 mg/L, 2,900 mg/L, 919 mg/L), though chloride remained elevated through May 1st, 2020 samples (1,000 mg/L). Additionally, at two sites sampled April 13th, 2019 pulses of aluminum (401 mg/L) and PAHs (pyrene, phenanthrene, anthracene; 71 µg/L, 317 µg/L, 182 µg/L) were detected. The EC50 for R. subcapitata and V. fischeri was observed, if at all, above expected toxicity thresholds.
The Effect of Temper Condition and Feeding Speed on the Additive Manufacturing of AA2011 Parts Using Friction Stir Deposition

In the current study, solid-state additive manufacturing (SSAM) of two temper conditions AA2011 was successfully conducted using the friction stir deposition (FSD) process. The AA2011-T6 and AA2011-O consumable bars of 20 mm diameter were used as a feeding material against AA5083 substrate. The effect of the rotation rate and feeding speed of the consumable bars on the macrostructure, microstructure, and hardness of the friction stir deposited (FSD) materials were examined. The AA2011-T6 bars were deposited at a constant rotation rate of 1200 rpm and different feeding speeds of 3, 6, and 9 mm/min, whereas the AA2011-O bars were deposited at a constant rotation rate of 200 mm/min and varied feeding speeds of 1, 2, and 3 mm/min. The obtained microstructure was investigated using an optical microscope and scanning electron microscope equipped with EDS analysis to evaluate microstructural features. Hardness was also assessed as average values and maps. The results showed that this new technique succeeded in producing sound additive manufactured parts at all the applied processing parameters. The microstructures of the additive manufactured parts showed equiaxed refined grains compared to the coarse grain of the starting materials. The detected intermetallics in AA2011 alloy are mainly Al2Cu and Al7Cu2Fe. The improvement in hardness of AA2011-O AMPs reached 163% of the starting material hardness at the applied feeding speed of 1 mm/min. The hardness mapping analysis reveals a homogeneous hardness profile along the building direction. Finally, it can be said that the temper conditions of the starting AA2011 materials govern the selection of the processing parameters in terms of rotation rate and feeding speed and affects the properties of the produced additive manufactured parts in terms of hardness and microstructural features.
Negative affective responses to positive events and stimuli in patients with complex dissociative disorders: a mixed-methods pilot study

ABSTRACT Background: Research suggests that individuals exposed to (childhood) trauma are not only unable to experience pleasure, known as hedonic deficit (HD), but also experience ‘negative affective responses to positive events’, known as negative affective interference (NAI). The clinical relevance and prognostic features of NAI have increasingly been recognized. To date, no studies have focused on NAI in patients with complex dissociative disorders (CDDs) who were abused early in life. Objective: In this pilot study, we quantitatively and qualitatively investigated how NAI is related to trauma-related symptoms and how this phenomenon can be understood in a selected group of adult CDD patients. Method: CDD patients (N = 25) referred to an inpatient dissociation-focused treatment programme completed the Hedonic Deficit & Interference Scale (HDIS), and measures of trauma-related symptoms and interpersonal functioning, as well as a qualitative questionnaire addressing possible inner conflicts and phobias with respect to the experience of positive events. A convergent mixed-methods design was used to obtain different but complementary data on NAI to gain a more complete understanding of the phenomenon. Results: The quantitative analyses showed a significant relationship between NAI and trauma-related symptoms and interpersonal functioning. NAI seems to be more strongly associated with these symptoms than HD. The qualitative analysis revealed three themes – fear, shame, and aggressive ‘parts’ – preventing positive emotions, which provided a possible interpretation of the quantitative results. The integrated findings were discussed in light of theories of structural dissociation of the personality and attachment. Conclusions: These findings indicate that NAI is related to a spectrum of trauma-related symptoms and interpersonal functioning in patients with a CDD to a larger degree than HD and that different dissociative identities are involved. Studies of the relationship between changes in HDIS (particularly the NAI subscale) and changes in trauma-related symptoms and interpersonal functioning following treatment are warranted. HIGHLIGHTS Dissociative disorder patients (DDs) experience negative affective responses to positive events (NAI) in addition to hedonic deficits. NAI is related to trauma-related symptoms and interpersonal functioning in DDs and may involve dissociative personality parts or ‘identities’.
Association of Hepatitis C Virus Replication with the Catecholamine Biosynthetic Pathway

A bidirectional negative relationship between Hepatitis C virus (HCV) replication and gene expression of the catecholamine biosynthetic enzyme L-Dopa decarboxylase (DDC) was previously shown in the liver and attributed at least to an association of DDC with phosphatidylinositol 3-kinase (PI3K). Here, we report that the biosynthesis and uptake of catecholamines restrict HCV replication in hepatocytes, while HCV has developed ways to reduce catecholamine production. By employing gene silencing, chemical inhibition or induction of the catecholamine biosynthetic and metabolic enzymes and transporters, and by applying the substrates or the products of the respective enzymes, we unravel the role of the different steps of the pathway in viral infection. We also provide evidence that the effect of catecholamines on HCV is strongly related with oxidative stress that is generated by their autoxidation in the cytosol, while antioxidants or treatments that lower cytosolic catecholamine levels positively affect the virus. To counteract the effect of catecholamines, HCV, apart from the already reported effects on DDC, causes the down-regulation of tyrosine hydroxylase that encodes the rate-limiting enzyme of catecholamine biosynthesis and suppresses dopamine beta-hydroxylase mRNA and protein amounts, while increasing the catecholamine degradation enzyme monoamine oxidase. Moreover, the NS4B viral protein is implicated in the effect of HCV on the ratio of the ~50 kDa DDC monomer and a ~120 kDa DDC complex, while the NS5A protein has a negative effect on total DDC protein levels.
Deep Active Context Estimation for Automated COVID-19 Diagnosis

Many studies on automated COVID-19 diagnosis have advanced rapidly with the increasing availability of large-scale CT annotated datasets. Inevitably, there are still a large number of unlabeled CT slices in the existing data sources since it requires considerable consuming labor efforts. Notably, cinical experience indicates that the neighboring CT slices may present similar symptoms and signs. Inspired by such wisdom, we propose DACE, a novel CNN-based deep active context estimation framework, which leverages the unlabeled neighbors to progressively learn more robust feature representations and generate a well-performed classifier for COVID-19 diagnosis. Specifically, the backbone of the proposed DACE framework is constructed by a well-designed Long-Short Hierarchical Attention Network (LSHAN), which effectively incorporates two complementary attention mechanisms, i.e., short-range channel interactions (SCI) module and long-range spatial dependencies (LSD) module, to learn the most discriminative features from CT slices. To make full use of such available data, we design an efficient context estimation criterion to carefully assign the additional labels to these neighbors. Benefiting from two complementary types of informative annotations from -nearest neighbors, i.e., the majority of high-confidence samples with pseudo labels and the minority of low-confidence samples with hand-annotated labels, the proposed LSHAN can be fine-tuned and optimized in an incremental learning manner. Extensive experiments on the Clean-CC-CCII dataset demonstrate the superior performance of our method compared with the state-of-the-art baselines.
Probing Individual Particles in Aquatic Suspensions by Simultaneously Measuring Polarized Light Scattering and Fluorescence

Suspended particles play a significant role in aquatic systems. However, existing methods to probe suspended particles have several limitations. In this paper, we present a portable prototype to in situ probe individual particles in aquatic suspensions by simultaneously measuring polarized light scattering and fluorescence, aiming to obtain an effective classification of microplastics and microalgae. Results show that the obtained classification accuracy is significantly higher than that for either of these two methods. The setup also successfully measures submicron particles and discriminates two species of Synechococcus. Our study demonstrates the feasibility of simultaneously measuring polarized light scattering and fluorescence, and the promising capability of our method for further aquatic environmental monitoring.
Intra-urban industrial restructuring in the city of Copenhagen: workplaces and employment changes in metro- and non-metro-served areas, 2002-2012

ABSTRACT This study analyses intra-urban locational restructuring in the City of Copenhagen ten years after the opening of the Copenhagen Metro in 2002. The locations and growth dynamics of workplaces and employment are examined by examining changes in entry and exit, growth and decline, and relocation in and out of both metro- and non-metro-served areas of the city. As a result, this study demonstrates the strong spatial restructuring that has taken place in the city of Copenhagen by covering multi-dimensional processes, including sectoral shifts, renewal and relocation.
COVID-19 Advanced Care

The coronavirus disease 2019 (COVID-19) pandemic, related to the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a worldwide sudden and substantial burden in public health due to an enormous increase in hospitalizations for pneumonia with the multiorgan disease. Treatment for individuals with COVID-19 includes best practices for supportive management of acute hypoxic respiratory failure. Emerging data indicate that dexamethasone therapy reduces 28-day mortality in patients requiring supplemental oxygen compared with usual care, and ongoing trials are testing the efficacy of antiviral therapies, immune modulators and anticoagulants in the prevention of disease progression and complications, while monoclonal antibodies and hyperimmune globulin may provide additional preventive strategies. Consensus suggestions can standardize care, thereby improving outcomes and facilitating future research. This review discusses current evidence regarding the pharmacotherapy of COVID-19.
A Study to Assess the Knowledge and Prevalence of Dialysis Induced Hypertension

By knowing the level of knowledge of patients about risk factors of dialysis induced hypertension, we will be able to be aware that the patients reduce the risk factor affecting dialysis induced hypertension patients undergoing maintenance hemodialysis. So, the objective of the study were to assess the knowledge and prevalence of dialysis induced hypertension among patient’s undergoing maintenance hemodialysis. A qualitative research study was used. The participants was all the dialysis induced hypertensive patients undergoing maintenance haemodialysis, data collection was done using a questionnaires and checklist, 100 were completed the data. Data were analysed by descriptive and inferential statistics. And according to statistical analysis results, there was no significant relationship between the knowledge and risk factor of dialysis induced hypertension patients. Background: Intradialytic hypertension is an increase in blood pressure during or immediately after hemodialysis which results in post-dialysis hypertension, is often largely ignored. Patients undergoing hemodialysis will possibly raise blood pressure, because the role of the kidneys in blood homoeostasis is impaired, risk factors like chronic volume overload and a range of other risk factors might also contribute to high blood pressure. Objectives: The objectives of this study were as follows, 1. Assess the knowledge and prevalence of dialysis induced hypertension among patients undergoing haemodialysis. Find out the association between risk factors and knowledge of dialysis induced hypertension among patients undergoing haemodialysis. Results: The clinical significance of dialysis induced hypertension lies in the fact that each of these possible risk factors may contribute to the development of dialysis induced hypertension, out of 100 participants 4 (4%) were in the age group of 21 to 30 years, 16 (16%) were in the age group of 31 to 40 years, 36 (36%) were in the age of 41 to 50 years, 44 (44%) were in the age group of the year above. As regard Gender, 63 (63%) were male and 37 (37%) were females. As regards 92 (92%) were Married and 08(08%) were Unmarried. Regarding prevalence 50 (50%) had hypertension before and 50 (50%) had hypertension after the dialysis. Out of 100 patients, all 100 samples were had increased dry weight, 13 were had volume overload, 77 were had poor dietary salt restriction, 24 were had a family history of hypertension, nil have pulmonary oedema, 03 were had hyperthyroidism, 15 were had diabetes, 04 were had the cardio vascular disorder, 08 were had anaemia. Out of the 100 samples, 15% of the samples had poor, 85 % of the samples had average knowledge on dialysis induced hypertension. Thus, dry weight was present in the entire patient undergoing hemodialysis. Descriptive statistics were used to assess the mean, frequency and percentage, inferential statistics like the Chi-Square test was used to test for association.