Miracle-dz/UniFAR-FTUs huggingface dataset:
Present Status of Fish Farming and Livelihood of Fish Farmers in Barisal Sadar Upazila of Barisal District, Southern Bangladesh

The present investigation was conducted to assess the status of fish farming and livelihood of fish farmer in the Barisal Sadar Upazila, Southern Bangladesh for a period of ten months from March 2015 to January 2016. Well-structured questionnaire was applied for primary data collection from fish farmer. The survey revealed that average pond size was 0.12 ha with 85% of the farmers having ponds of single ownership. Majority farmer (94%) preferred poly-culture system where maximum pond was seasonal (84%). Most of the fish farmers were belonged to the age groups of 36 to 50 years (52%), represented by 80% Muslims.Majority farmer (68%) had tin-shed house where majority were taken health facilities from Upazila doctor (32%). Most of the farmer (55%) lived in joint families where majority family members (41%) were between 4 -5. About 7% had no education while 11%, 49%, 21% and 12% had primary, secondary, higher secondary and bachelor level of education respectively. Fish farming was main occupation of 24% farmer where majority (30%) was involved with agriculture. Majority farmer (74%) had semi-pucca toilet where 16% had own tube-well. 53% farmer were used wood as cooking fuel where 74% of farmers used their own money for fish farming. 37% were capable to save money in bank or different types of NGOs where 95% farmers improver their socio-economic conditions by fish farming. Majority fish farmer (84%) achieved training on fish farming from NGOs where 9% had not received any training. Majority households (94%) had electricity facility where most of the farmer (70%) had ordinary social status. Seasonal flood (26%), non-availability of fish fry (25%), insufficient water in dry season (12%), lack of money (11%), Fish disease (9%), pouching (8%), lack of quality feed (5%) and poor technical knowledge (4%) for fish farming was identified as the major constraints.
Monitoring of ECG using Zigbee and Wamp Server

Abstract-According to the Prospective Urban Rural Epidemiologic (PURE)study,more than 80 per cent of deaths due to cardiovascular diseases are estimated to occur in middle-income and low-income countries like India.Many of them die due to lack of awareness and access to proper treatment.Early detection of cardiovascular disease symptoms help to give treatment as early as possible . This can be made possible for patients living in remote environment using telemedicine by continuously monitoring the cardiac patients. A wireless electrocardiograph monitoring system is implemented with Zigbee module and Wamp server for remote monitoring of cardiac patient. The ECG acquisition module is interfaced with Zigbee Transmitter module. The transmitted signals are then received by Zigbee Receiver module which is connected to a laptop.This laptop is configured as local server and the serial ECG data from the receiver are fed to the data-base of the local server.ECG signals are plotted in the browser of the laptop configured as server.Finally ECG signals are transmitted and plotted in a remote laptop using internet.By this method a doctor can view the ECG of his patient in laptop or mobile phone using internet connection.
Continuous cultivation of the lithoautotrophic nitrate‐reducing Fe(II)‐oxidizing culture KS in a chemostat bioreactor

Abstract Laboratory‐based studies on microbial Fe(II) oxidation are commonly performed for 5–10 days in small volumes with high substrate concentrations, resulting in geochemical gradients and volumetric effects caused by sampling. We used a chemostat to enable uninterrupted supply of medium and investigated autotrophic nitrate‐reducing Fe(II)‐oxidizing culture KS for 24 days. We analysed Fe‐ and N‐speciation, cell‐mineral associations, and the identity of minerals. Results were compared to batch systems (50 and 700 mL—static/shaken). The Fe(II) oxidation rate was highest in the chemostat with 7.57 mM Fe(II) d−1, while the extent of oxidation was similar to the other experimental setups (average oxidation of 92% of all Fe(II)). Short‐range ordered Fe(III) phases, presumably ferrihydrite, precipitated and later goethite was detected in the chemostat. The 1 mM solid phase Fe(II) remained in the chemostat, up to 15 μM of reactive nitrite was measured, and 42% of visualized cells were partially or completely mineral‐encrusted, likely caused by abiotic oxidation of Fe(II) by nitrite. Despite (partial) encrustation, cells were still viable. Our results show that even with similar oxidation rates as in batch cultures, cultivating Fe(II)‐oxidizing microorganisms under continuous conditions reveals the importance of reactive nitrogen intermediates on Fe(II) oxidation, mineral formation and cell–mineral interactions.
Who gains and who loses from migration? Theory and an application to Italy

We study the impact of a shock in the supply of low-skill immigrants on the welfare of workers in the receiving country within a novel general equilibrium search and matching model. We break the complementarity between skills imposed by the CES production function and we use an alternative mechanism which allows for the adjustment of the prices of the goods produced and consumed by all agents in the economy. The model is also characterized by workers heterogeneity, firing costs, search frictions, wage bargaining and the presence of a central authority which collects revenues by taxing wages and profits and redistributes the income through the provision of a public good, unemployment benefits and tax subsides. We find that as a consequence of the shock the aggregate output and the provision of public good increase. In addition, the wage level of low-skill workers decreases and unemployment is higher, while the wage level of high-skill workers increases due to the lower average price level. The overall effect on welfare is positive for native workers (on average a gain of about 10%) thanks to the increased provision of public good which more than compensates the decline in the wage of low-skill workers. The overall effect on the welfare of immigrant workers is instead negative, with an average loss of about 2.5%.
On the Representation Power of Set Pooling Networks

Point clouds and sets are input data-types which pose unique problems to deep learning. Since sets can have variable cardinality and are unchanged by permutation, the input space for these problems naturally form inﬁnite-dimensional non-Euclidean spaces. Despite these mathematical difﬁculties, PointNet [17] and Deep Sets [30] introduced foundational neural network architectures to address these problems. In this paper we present a uniﬁed framework to study the expressive power of such networks as well as their extensions beyond point clouds (partially addressing a conjecture on the extendibility of DeepSets along the way). To this end, we demonstrate the crucial role that the Hausdorff and Wasserstein metrics play and prove new cardinality-agnostic universality results to characterize exactly which functions can be approximated by these models. In particular, these results imply that PointNet generally cannot approximate averages of continuous functions over sets (e.g. center-of-mass or higher moments) implying that DeepSets is strictly more expressive than PointNet in the constant cardinality setting. Moreover, we obtain explicit lower-bounds on the approximation error and present a simple method to produce arbitrarily many examples of this failure-mode. Counterintuitively, we also prove that in the unbounded cardinality setting that any function which can be uniformly approximated by both PointNet and normalized-DeepSets must be constant. Finally, we also prove theorems on the Lipschitz properties of PointNet and normalized-DeepSets which shed insight into exploitable inductive bias in these networks.
Incidence rates and symptomatology of community infections with SARS-CoV-2 in children and parents: The CoKids longitudinal household study

AIM: The CoKids study aimed to estimate the community incidence of symptomatic and asymptomatic SARS-CoV-2 in children and parents and to assess the symptomatology of SARS-COV-2 infections relative to SARS-CoV-2 negative respiratory episodes. METHODS: In this prospective study, households with at least one child <18 years were recruited from three existing Dutch cohorts. Participation included SARS-CoV-2 screening at 4-6 weeks intervals for all household members during 23 weeks of follow-up and active reporting of new onset respiratory symptoms until July 1st 2021. Follow-up was temporarily intensified following new onset respiratory symptoms in a household member or a SARS-CoV-2 positive screening test and included daily symptom recording, repeated PCR testing (nose-throat, saliva and fecal samples) and SARS-CoV-2 antibody measurement (paired dried blood spots) in all household members. Age-stratified incidence rates for SARS-CoV-2 positive and negative episodes were calculated. Symptomatology and disease burden of respiratory episodes were compared by SARS-CoV-2 status and age. RESULTS: In total 307 households were enrolled including 1209 subjects. We detected 64 SARS-CoV-2 positive and 118 SARS-CoV-2 negative respiratory outbreaks. The highest incidence rate was found in children <12 years for SARS-CoV-2 negative episodes (0.93/ person-year (PY); 95%CI: 0.88-0.96). The SARS-CoV-2 incidence in this age-group was 0.21/PY for confirmed only, and 0.41/PY if probable cases were included. SARS-CoV-2 incidence did not differ by age group (p>0.27). Nasal congestion/runny nose, with or without cough and fatigue were the three most prevalent symptom clusters for both SARS-CoV-2 positive and negative respiratory episodes. Among children, no differences were observed in the symptomatology and severity of SARS-CoV-2 positive versus negative respiratory episodes, whereas among adults, SARS-CoV-2 positive episodes had a higher number and severity of symptoms and with a longer duration p<0.001). CONCLUSION: Using active, longitudinal household follow up, we detected a high incidence rate of SARS-CoV-2 infections in children that was similar to adults. The findings suggest that after 20 months of COVID-19 pandemic, up to 2/3 of Dutch children < 12 years have been infected with SARS-CoV-2. Symptomatology and disease severity of SARS-CoV-2 in children is similar to respiratory illness from other causes. In adults, SARS-COV-2 positive episodes are characterized by more and prolonged symptoms, and higher severity. These findings may assist decisions on COVID-19 policies targeting children.
Pharmacokinetics and drug-likeness of antidiabetic flavonoids: Molecular docking and DFT study

Computer aided toxicity and pharmacokinetic prediction studies attracted the attention of pharmaceutical industries as an alternative means to predict potential drug candidates. In the present study, in-silico pharmacokinetic properties (ADME), drug-likeness, toxicity profiles of sixteen antidiabetic flavonoids that have ideal bidentate chelating sites for metal ion coordination were examined using SwissADME, Pro Tox II, vNN and ADMETlab web tools. Density functional theory (DFT) calculations were also employed to calculate quantum chemical descriptors of the compounds. Molecular docking studies against human alpha amylase were also conducted. The results were compared with the control drugs, metformin and acarbose. The drug-likeness prediction results showed that all flavonoids, except myricetin, were found to obey Lipinski’s rule of five for their drug like molecular nature. Pharmacokinetically, chrysin, wogonin, genistein, baicalein, and apigenin showed best absorption profile with human intestinal absorption (HIA) value of ≥ 30%, compared to the other flavonoids. Baicalein, butein, ellagic acid, eriodyctiol, Fisetin and quercetin were predicted to show carcinogenicity. The flavonoid derivatives considered in this study are predicted to be suitable molecules for CYP3A probes, except eriodyctiol which interacts with P-glycoprotein (p-gp). The toxicological endpoints prediction analysis showed that the median lethal dose (LD50) values range from 159–3919 mg/Kg, of which baicalein and quercetin are found to be mutagenic whereas butein is found to be the only immunotoxin. Molecular docking studies showed that the significant interaction (-7.5 to -8.3 kcal/mol) of the studied molecules in the binding pocket of the α-amylase protein relative to the control metformin with the crucial amino acids Asp 197, Glu 233, Asp 197, Glu 233, Trp 59, Tyr 62, His 101, Leu 162, Arg 195, His 299 and Leu 165. Chrysin was predicted to be a ligand with high absorption and lipophilicity with 84.6% absorption compared to metformin (78.3%). Moreover, quantum chemical, ADMET, drug-likeness and molecular docking profiles predicted that chrysin is a good bidentate ligand.
The Impact of COVID-19 on Patient Experience Within a Midwest Hospital System: A Case Study

Patient-centered communication and patient-provider relationships directly affect patient outcomes. The purpose of this study was to compare inpatient perception of provider/nurse communication in both COVID versus non-COVID diagnoses groups. A qualitative retrospective study was conducted by performing a priori coding analysis on Hospital Consumer Assessment of Healthcare Providers and Systems surveys from 4 different hospitals for both COVID and non-COVID diagnoses. Five themes emerged from non-COVID patient data: inconsistent health care provider communication, variable patient-provider education, pandemic influenced patient satisfaction and mental health stress, inconsistent hospital services, and stable provider professionalism. Five themes arose from the COVID patient data: provider gratitude, controversial communication methods, consistent patient education, lack of quality patient care, and poor timeliness. There is evidence of shared patient perceptions between both COVID and non-COVID patients, but also differences including timeliness and quality of care. The pandemic influenced all patients by creating non-mutually exclusive themes including overall gratitude and patient satisfaction. Future research should focus on a quantitative analysis of pandemic-related patient-provider communication effects on patient outcomes.
Sociodemographic, lifestyle, behavioral, and parental factors associated with sugar-sweetened beverage consumption in children in China

Objective Evidence shows sugar-sweetened beverage (SSB) consumption is a risk factor for obesity and non-communicable diseases (NCDs) in children. Investigating the influential profiles, which have been examined insufficiently, will help to inform the reduction of SSB consumption. The present research examines the current trend in SSB consumption and associated factors among children in China, in order to inform policy development. Methods Secondary data was extracted from China’s Health and Nutrition Survey (CHNS; 2004, 2006, 2009, and 2011), a repeated cross-sectional research, and a Chi-squared test was applied to compare SSB consumption in the last year, queried by social demographical, `environmental, behavioral, and parental factors. Multilevel mixed-effects logistic regression was employed to examine the trend and effects of the multiple factors. Results A total of 6015 Chinese children aged 6–17 years were investigated. From 2004 to 2011, the percentage of SSB consumption in children increased from 72.6% to 90.3%. The prevalence in urban areas was higher than the prevalence in rural areas, higher in high schools than primary and middle schools, higher in east coast affluent provinces than other provinces, and higher in high-income households than low-income households. Other associated factors include children’s fast food and salty snacks preference, level of physical activity, sedentariness, and parental education. The strongest association with SSB consumption in children was the mother’s SSB consumption (adjusted odds ratio: 5.54, 95% CI: 3.17–9.67). Conclusion Children’s SSB consumption has increased significantly in China, and is associated with socio-economic, demographic, level of physical activity, food preference, and parental factors. Future strategies aimed at reducing SSB consumption among children need to consider these factors.
Visible Human Project® female surface based computational phantom (Nelly) for radio-frequency safety evaluation in MRI coils

Quantitative modeling of specific absorption rate and temperature rise within the human body during 1.5 T and 3 T MRI scans is of clinical significance to ensure patient safety. This work presents justification, via validation and comparison, of the potential use of the Visible Human Project (VHP) derived Computer Aided Design (CAD) female full body computational human model for non-clinical assessment of female patients of age 50–65 years with a BMI of 30–36 during 1.5 T and 3 T based MRI procedures. The initial segmentation validation and four different application examples have been identified and used to compare to numerical simulation results obtained using VHP Female computational human model under the same or similar conditions. The first application example provides a simulation-to-simulation validation while the latter three application examples compare with measured experimental data. Given the same or similar coil settings, the computational human model generates meaningful results for SAR, B1 field, and temperature rise when used in conjunction with the 1.5 T birdcage MRI coils or at higher frequencies corresponding to 3 T MRI. Notably, the deviation in temperature rise from experiment did not exceed 2.75° C for three different heating scenarios considered in the study with relative deviations of 10%, 25%, and 20%. This study provides a reasonably systematic validation and comparison of the VHP-Female CAD v.3. 0–5.0 surface-based computational human model starting with the segmentation validation and following four different application examples.
Characterization of soils conducive and non-conducive to Prunus replant disease

Successive orchard plantings of almond and other Prunus species exhibit reduced growth and yield in many California soils. This phenomenon, known as Prunus replant disease (PRD), can be prevented by preplant soil fumigation or anaerobic soil disinfestation, but its etiology is poorly understood and its incidence and severity are hard to predict. We report here on relationships among physicochemical variables, microbial community structure, and PRD induction in 25 diverse replant soils from California. In a greenhouse bioassay, soil was considered to be “PRD-inducing” when growth of peach seedlings in it was significantly increased by preplant fumigation and pasteurization, compared to an untreated control. PRD was induced in 18 of the 25 soils, and PRD severity correlated positively with soil exchangeable-K, pH, %clay, total %N, and electrical conductivity. The structure of bacterial, fungal, and oomycete communities differed significantly between the PRD-inducing and non-inducing soils, based on PERMANOVA of Bray Curtis dissimilarities. Bacterial class MB-A2-108 of phylum Actinobacteria had high relative abundances among PRD-inducing soils, while Bacteroidia were relatively abundant among non-inducing soils. Among fungi, many ASVs classified only to kingdom level were relatively abundant among PRD-inducing soils whereas ASVs of Trichoderma were relatively abundant among non-inducing soils. Random forest classification effectively discriminated between PRD-inducing and non-inducing soils, revealing many bacterial ASVs with high explanatory values. Random forest regression effectively accounted for PRD severity, with soil exchangeable-K and pH having high predictive value. Our work revealed several biotic and abiotic variables worthy of further examination in PRD etiology.
Cash transfer during the COVID-19 pandemic: a multicentre, randomised controlled trial

Objective To evaluate the effect of a one-time cash transfer of $C1000 in people who are unable to physically distance due to insufficient income. Design Open-label, multi-centre, randomised superiority trial. Setting Seven primary care sites in Ontario, Canada; six urban sites associated with St. Michael’s Hospital in Toronto and one in Manitoulin Island. Participants 392 individuals who reported trouble affording basic necessities due to disruptions related to COVID-19. Intervention After random allocation, participants either received the cash transfer of $C1000 (n=196) or physical distancing guidelines alone (n=196). Main outcome measures The primary outcome was the maximum number of symptoms consistent with COVID-19 over 14 days. Secondary outcomes were meeting clinical criteria for COVID-19, SARS-CoV-2 presence, number of close contacts, general health and ability to afford basic necessities. Results The primary outcome of number of symptoms reported by participants did not differ between groups after 2 weeks (cash transfer, mean 1.6 vs 1.9, ratio of means 0.83; 95% CI 0.56 to 1.24). There were no statistically significant effects on secondary outcomes of the meeting COVID-19 clinical criteria (7.9% vs 12.8%; risk difference −0.05; 95% CI −0.11 to 0.01), SARS-CoV-2 presence (0.5% vs 0.6%; risk difference 0.00 95% CI −0.02 to 0.02), mean number of close contacts (3.5 vs 3.7; rate ratio 1.10; 95% CI 0.83 to 1.46), general health very good or excellent (60% vs 63%; risk difference −0.03 95% CI −0.14 to 0.08) and ability to make ends meet (52% vs 51%; risk difference 0.01 95% CI −0.10 to 0.12). Conclusions A single cash transfer did not reduce the COVID-19 symptoms or improve the ability to afford necessities. Further studies are needed to determine whether some groups may benefit from financial supports and to determine if a higher level of support is beneficial. Trial registration number NCT04359264.