Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-economic Analysis of Frozen Fish Marketing in Owerri Municipal Council Area , Imo State , Nigeria : An Econometric Model Approach

The study was on socio-economic analysis of frozen fish marketing in Owerri Municipal Council Area, Imo State, Nigeria. A purposive random sampling technique was used in selection of respondents. Sample size comprised sixty fish marketing households. The main tool for data collection was a set of structured questionnaire. Data collected were analyzed using descriptive statistical tools, Smart-Art, gross income analysis and econometric regression model. The mean age was 33.21years. Results also revealed that fish marketing in the area is dominated by females (93.33%). Majority (76.67%) were married with an average household size of 4 persons. Three product flow channels exist for the fish marketing in the area with the major channel being from the producers through wholesalers to retailers and ultimately to the final consumers. Marketers earned a positive net return of N870.00 ($5.80) and return per capita invested was ₦ 0.78 ($0.0052). Estimated econometric analysis revealed that age (3.304), marital status (4.258), education (2.592), marketing experience (6.521), monthly income (3.485) and membership of cooperative (5.191) were found to be the significant factors influencing profit margin and the relationships were statistically significant at 1% level of probability. F-Ratio was 52.152 indicating a high significant and strength of the econometric model at 1% level of probability. Findings also revealed that frozen fish marketing is efficient and lucrative in the area. However, marketers complained of inadequate capital, inadequate storage facilities and price fluctuation. It was therefore recommended that effective agricultural policies and programmes should rigorously address marketers’ easy access to credits. Ultimately, infrastructural facilities such as good storage and processing facilities, electrification, good feeder roads should be provided in the area to reduce spoilage and distressed sales.
Molecular Dynamics Study of RNA Polymerase Transcription from Free Energy Calculation

processes far from thermodynamic equilibrium. Therefore, the intracellular dynamics are complex and subject to a multitude of constraints and forces. We study the conformational fluctuations of chromosomal DNA in vivo in live and dead Escherichia Coli cells by Fluorescence Correlation Spectroscopy (FCS). Conformational fluctuations of the DNA move the bound fluorophores stochastically into the diffraction-limited excitation volume of a focused laser beam in a confocal microscope. From the time correlation functions of the fluorescence intensity, we obtain the mean square displacement of the DNA on a time scale from microseconds to seconds. We see a substantial decrease in the power spectral density of the displacement fluctuations at frequencies below 10 Hz in the dead cells, compared to the live cells. The larger fluctuations in the living cells may indicate that the fluctuations on this time scale may be driven by active processes involving molecular motors that generate forces by ATP hydrolysis. On shorter time scales, we see little difference between live and dead cells, suggesting that processes on corresponding short length scales rely primarily on thermally-driven diffusive mechanisms.
Methodological developments for improving the reliability and cost-effectiveness of agricultural statistics in developing countries

Statistically sound methods, based on probabilistic samples selected from complete and updated lists of farmers allow producing accurate and timely agricultural statistics if good quality data are collected through the interviews. These statistics are essential for knowledge based planning, in order to facilitate rural development and reduce poverty and food insecurity. However, traditional statistical methods are very costly and the reliability of information collected through interviews is sometimes debated. Consequently, there is a strong need to review the methods adopted in developing and developed countries, in order to assess how their cost efficiency can be improved. In some cases, new methods should be developed, which allow for more efficient use the new technologies, mainly Geographic Information Systems (GISs), Global Positioning Systems (GPSs) and remote sensing. Some considerations on this topic are presented in this paper.
Developing science monopoly on the force learning material for elementary school students

Natural science learning in elementary schools is considered difficult by students due to its complexity. Teachers have not been fully able to present the natural science lesson in accordance to the characteristics of elementary school students who are still love to play. Those making the learning process and outcomes have not been maximized and require learning media to overcome the problem. This study aimed to: ( 1) understanding the way to develop science monopoly in Force learning material; and ( 2) understanding the quality and feasibility of science monopoly. This study was research and development by ADDIE model in five stages, which are; analysis, design, development, implementation, and evaluation. The test of the product was conducted to the 4 th grade students of Muhammadiyah Bausasran 1 Elementary School, Yogyakarta. Instruments have been stated as valid by the expert judgement. The instruments were questionnaire of the feasibility of material, media, and learning expert; questionnaire of students response; and teacher response. Data analysis techniques were qualitative and quantitative data analysis. The assessment score of the media expert validation was 86.5 (very good), subject material expert was 87.5 (very good), learning expert was 85 (very good), teacher response was 100 (very good), and students response was 92.5 (very good). Thus, the learning media of science monopoly on force learning materials for elementary students was already feasible to use as a media of natural science learning.
Deep-learning based detection of gastric precancerous conditions

Conventional white-light endoscopy has high interobserver variability for the diagnosis of gastric precancerous conditions. Here we present a deep-learning (DL) approach for the diagnosis of atrophic gastritis developed and trained using real-world endoscopic images from the proximal stomach. The model achieved an accuracy of 93% (area under the curve (AUC): 0.98; F -score 0.93) in an independent data set, outperforming expert endoscopists. DL may overcome conventional appraisal of white-light endoscopy and support human decision making. The algorithm is available free of charge via a web-based interface (https://www.ccb.uni-saarland.de/atrophy). ### Introduction Chronic inflammation of the gastric mucosa induces a cascade of precancerous conditions (chronic atrophic gastritis, intestinal metaplasia) and lesions (dysplasia) that may result in the development of intestinal-type gastric cancer.1 Infection with Helicobacter pylori and autoimmune gastritis are the most relevant factors initiating these mechanisms. Conventional white-light endoscopy has moderate sensitivity and specificity, as well as a high interobserver variability, and is therefore not sufficient to reliably diagnose gastric atrophy or intestinal metaplasia.2 3 Thus, especially in Western countries, histology-based diagnosis of precancerous conditions using standardised biopsy protocols is favoured. Advanced endoscopic techniques (eg, virtual or conventional chromoendoscopy, magnification endoscopy, confocal laser endomicroscopy) are often hindered by technical availability and costs. DL has demonstrated potential in medical imaging, including GI endoscopy.4 In this field, DL has been used to diagnose focal pathologies (in particular colorectal polyps and oesophageal adenocarcinoma), and only occasionally for diseases diffusely affecting the GI mucosa (eg, H. pylori -associated gastritis). 4–7 Here, for the first time, we present a DL approach that overcomes the limitations of white-light endoscopy in diagnosing atrophic gastritis. ### Patients and methods For a first data set, we identified 200 real-world images from patients with and without histology-proven atrophic gastritis (100 each) from subjects undergoing routine oesophagogastroduodenoscopy between 2008 and 2018 (data set DS1). Endoscopies …
Maternal Fiber Dietary Intakes during Pregnancy and Infant Allergic Disease

Maternal diet during pregnancy plays a likely role in infant immune development through both direct nutrient specific immunomodulatory effects and by modulating the composition and metabolic activity of the maternal gut microbiome. Dietary fibers, as major substrates for microbial fermentation, are of interest in this context. This is the first study to examine maternal intakes of different fiber sub-types and subsequent infant allergic disease. In an observational study of 639 mother–infant pairs (all infants had a family history of allergic disease) we examined maternal intakes of total fiber, soluble fiber, insoluble fiber, resistant starch, and prebiotic fiber, by a semi-quantitative food frequency questionnaire at 36–40 weeks’ gestation. Infants attended an allergy clinical assessment at 12 months of age, including skin prick testing to common allergens. Higher maternal dietary intakes of resistant starch were associated with reduced doctor diagnosed infant wheeze, adjusted odds ratio (aOR) 0.68 (95% CI 0.49, 0.95, p = 0.02). However, in contrast, higher maternal intakes of resistant starch were associated with higher risk of parent reported eczema aOR 1.27 (95% CI 1.09, 1.49, p < 0.01) and doctor diagnosed eczema aOR 1.19 (95% CI 1.01, 1.41, p = 0.04). In conclusion, maternal resistant starch consumption was differentially associated with infant phenotypes, with reduced risk of infant wheeze, but increased risk of eczema.
Successful concurrent chemoradiotherapy with cisplatin plus etoposide after incomplete resection for advanced thymic carcinoma

Abstract The optimal therapy for advanced thymic carcinoma has long been controversial. Despite that complete (R0) resection is recommend as the first-line treatment, multidisciplinary approach including chemotherapy and radiotherapy should be considered for patients who lost the operation chance or received incomplete resection. Here, we present a case who received concurrent chemoradiotherapy (CCRT) after cytoreductive surgery. A complete response was observed and the patient has remained disease free for over 4 years. To our knowledge, this is the first report to demonstrate the efficacy of CCRT with cisplatin plus etoposide after incomplete surgery for advanced thymic carcinoma.
Solid-State Detector SPECT Myocardial Perfusion Imaging

There has been an evolutionary leap in SPECT imaging with the advent of camera systems that use solid-state crystals and novel collimator designs configured specifically for cardiac imaging. Solid-state SPECT camera systems have facilitated dramatic reductions in both imaging time and radiation dose while maintaining high diagnostic accuracy. These advances are related to simultaneous improvement in photon sensitivity due to the collimator and imaging geometry, as well as image resolution due to the improved energy resolution of the new crystals. Improved photon sensitivity has facilitated fast or low-dose myocardial perfusion imaging (MPI), and early dynamic imaging has emerged as a technique for assessing myocardial blood flow with SPECT. Lastly, general-purpose solid-state camera systems and hybrid SPECT/CT systems have also been developed that may have important clinical roles in cardiac imaging. This review summarizes state-of-the-art solid-state SPECT MPI technology and clinical applications, including emerging techniques for SPECT MPI flow estimation. We also discuss imaging protocols used with the new cameras, potential imaging pitfalls, and the latest data providing large-scale validation of the diagnostic and prognostic value of this new technology.
Swiss Mountain Guides: Medical Education, Knowledge, and Practice.

Background: Mountain guides work daily in remote areas and high-altitude locations where specific hypoxia-related and common medical problems may occur. Arrival of rescue teams can be delayed, so mountain guides often have to rely on their own capabilities to provide first aid. Therefore, IFMGA-recognized Swiss mountain guides receive a specific medical education and are equipped with a dedicated medical kit. This specific education has never been evaluated. Methods: A questionnaire was sent to all Swiss mountain guides through their national association. This questionnaire evaluates guides' activity, type, and frequency of medical events encountered, medical education, and use of the medical kit. Furthermore, clinical vignettes were used to evaluate their subjective and objective knowledge about prevention and treatment of specific altitude-related diseases. Results: A total of 467 guides completed the questionnaire, 54 (11.6%) of them were identified as high-altitude guides (HA-guides), because they spent ≥10 nights above 4000 meters each year. Mountain guides are more exposed to altitude-specific pathologies, such as Acute Mountain Sickness (AMS), High-Altitude Pulmonary Edema (HAPE), and High-Altitude Cerebral Edema (HACE) than to general medical conditions. A majority of participants (in particular HA-guides) considered altitude-related medical knowledge essential but judged their own education as insufficient. A majority of mountain guides were aware of nonpharmacological preventive measures and able to recognize altitude-related diseases. Mountain guides declared themselves as very confident in treating altitude-related diseases. Objective assessment of their knowledge showed some gaps, in particular related to the use of specific medications like nifedipine and dexamethasone. Conclusions: Swiss mountain guides' education in altitude medicine may be improved, in particular concerning the recognition and treatment of severe conditions such as HAPE and HACE. Better knowledge may be especially important for HA-guides. These data have induced experts in the field to adapt the guides teaching curriculum and medical kit.
IL-1β/TNF-α/IL-6 inflammatory cytokines promote STAT1-dependent induction of CH25H in Zika virus–infected human macrophages

Zika virus (ZIKV)3 is an enveloped, single-stranded, positive-sense RNA virus of the Flaviviridae family that has emerged as a public health threat because of its global transmission and link to microcephaly. Currently there is no vaccine for this virus. Conversion of cholesterol to 25-hydroxycholesterol by cholesterol 25-hydroxylase (CH25H) has been shown to have broad antiviral properties. However, the molecular basis of induction of CH25H in humans is not known. Elucidation of signaling and transcriptional events for induction of CH25H expression is critical for designing therapeutic antiviral agents. In this study, we show that CH25H is induced by ZIKV infection or Toll-like receptor stimulation. Interestingly, CH25H is induced by pro-inflammatory cytokines, including IL-1β, tumor necrosis factor α, and IL-6, and this induction depends on the STAT1 transcription factor. Additionally, we observed that cAMP-dependent transcription factor (ATF3) weakly binds to the CH25H promoter, suggesting cooperation with STAT1. However, ZIKV-induced CH25H was independent of type I interferon. These findings provide important information for understanding how the Zika virus induces innate inflammatory responses and promotes the expression of anti-viral CH25H protein.
An integrated framework for modeling and predicting spatiotemporal phenomena in urban environments

This thesis proposes a general solution framework that integrates methods in machine learning in creative ways to solve a diverse set of problems arising in urban environments. It particularly focuses on modeling spatiotemporal data for the purpose of predicting urban phenomena. Concretely, the framework is applied to solve three specific real-world problems: human mobility prediction, traffic speed prediction and incident prediction. For human mobility prediction, I use visitor trajectories collected a large theme park in Singapore as a simplified microcosm of an urban area. A trajectory is an ordered sequence of attraction visits and corresponding timestamps produced by a visitor. This problem has two related subproblems: (spatial) bundle prediction and trajectory prediction. In the first problem, I apply the framework to predict a bundle (i.e., an unordered set) of attractions that a given visitor would visit given a time budget. In the second problem, the framework is applied to predict the visitor’s actual trajectory given the current partial trajectory and time budget. In both problems, I apply the methods of trajectory clustering, hidden Markov model, revealed preference learning and (inverse) reinforcement learning in the integrated framework. In traffic speed prediction, I wish to predict the spatiotemporal distribution of traffic speed over urban road networks. To this end, I propose local Gaussian processes which combine non-negative matrix (NMF) factorization with Gaussian process (GP) in order to enhance the efficiency of model training such that the solution could be deployed in real-time use cases. NMF is essentially a spatiotemporal clustering technique. The solution is extensively evaluated using real-world traffic data collected in two U.S. cities. The incident prediction problem is about predicting the distribution of the number of crime incidents over urban areas in future time periods. Because of its similarity to the traffic prediction problem above, its solution greatly benefits from the GP model developed earlier. Particularly, the GP kernel function is inherited and extended to model the distribution of incidents in urban areas and their features. The proposed solution is evaluated using real-world incident data collected in a large Asian city. Conceptually, this thesis uses big data and machine learning techniques to solve three separate urban problems, whose contribution belongs to the large category of urban computing. At the core, its technical contribution lies in the unification of separate solutions tailored to those problems into an integrated framework that reasons with spatiotemporal data and, thus, is highly generalizable to other problems of similar nature.
Effects of Maturation on Physical Fitness Adaptations to Plyometric Jump Training in Youth Females

Abstract Romero, C, Ramirez-Campillo, R, Alvarez, C, Moran, J, Slimani, M, Gonzalez, J, and Banzer, WE. Effects of maturation on physical fitness adaptations to plyometric jump training in youth females. J Strength Cond Res 35(10): 2870–2877, 2021—The aim of this study was to compare the effects of maturation on physical fitness adaptations to plyometric jump training (PJT) in youth females. Jumping, sprinting, change of direction speed, endurance, and maximal strength were measured pre-post 6 weeks of PJT in 7th- and 10th-grade subjects. In the seventh grade, subjects formed a PJT group (Plyo-7, n = 10; age, 12.7 ± 0.6 years; breast maturation stages IV [n = 2], III [n = 7], and II [n = 1]) and an active control group (Con-7, n = 9; age, 12.8 ± 0.6 years; breast maturation stages IV [n = 2], III [n = 6], and II [n = 1]). In the 10th grade, subjects conformed a PJT group (Plyo-10, n = 9; age, 16.3 ± 0.5 years; breast maturation stages V [n = 5] and IV [n = 4]) and an active control group (Con-10, n = 9; age, 16.2 ± 0.5 years; breast maturation stages V [n = 5] and IV [n = 4]). Magnitude-based inferences were used for data analysis, with effect sizes (ESs) interpreted as <0.2 = trivial; 0.2–0.6 = small; 0.6–1.2 = moderate; 1.2–2.0 = large; and 2.0–4.0 = very large. The Plyo-7 and Plyo-10 showed meaningful improvements in all physical fitness measures (ES = 0.21–2.22), while Con-7 and Con-10 showed only trivial changes. The Plyo-7 and Plyo-10 showed meaningful (ES = 0.16–2.22) greater improvements in all physical fitness measures when compared with their control counterparts. The Plyo-10 showed meaningful greater improvements in 20-m sprint, 2-km running time trial, maximal strength, squat jump, and drop jump from 20 cm (ES = 0.21–0.42) when compared with Plyo-7. In conclusion, PJT is effective in improving physical fitness in younger and older female youths. However, greater adaptations were observed in more mature subjects.
Obesity and dyslipidemia in patients with psoriasis

Abstract The aim of this study was to conduct a more comprehensive analysis of the association between psoriasis and abnormal lipid metabolism. The case–control study included 222 psoriatic patients and 445 non-psoriatic control patients matched for age and gender. Clinical parameters included age, gender, and body mass index (BMI). Serum lipid levels were recorded and included cholesterol (CHO), triglycerides (TG), low-density lipoprotein (LDL), high density lipoprotein (HDL), phospholipids (PLIP), free fatty acids (FFA), lipoprotein (a) [Lp(a)], and apolipoproteins (apoA1, apoB, and apoE). Statistical analysis was carried out through the IBM Statistical Package for the Social Studies version 23.0. Compared with controls, levels of BMI and the prevalence of obesity were significantly higher in psoriatic patients. The results revealed that when compared to controls, significant elevation of serum TG (P <.001) and Lp(a) (P = .022) was observed. Levels of HDL (P <.001) and apoA1 (P <.001) were significantly lower in psoriatic patients. There was no significant difference in CHO (P = .367), LDL (P = .400), apoB (P = .294), apoE (P = .05), PLIP (P = .931) and FFA (P = .554) between patients and controls. The levels of CHO, TG, PLIP, FFA, and apoE were positively correlated with BMI level. Dyslipidemia was more common in psoriatic patients, compared with non-psoriatic controls.
Accuracy of Predictive Resting-Metabolic-Rate Equations in Chinese Mainland Adults

Accurate measurement of the resting metabolic rate (RMR) is necessary when we make energy requirements and nutrition suggestions in clinical. However, indirect calorimetry is not always available. The objectives of this study were to make a comparison between RMR measured by indirect calorimetry and RMR predicted by different kinds of equations, and to develop new predictive equations for Chinese mainland adults. In this study, 315 Chinese mainland adults from different provinces all over China were recruited. Subjects underwent half a day of testing, which consisted of anthropometric assessment and RMR measurement. Measured and predicted RMR were compared; new optimal equations for Chinese mainland adults were developed and tested by splitting the subjects into a development and validation group. The measured RMR was in the range of 831–2776 kcal/day (mean 1651 ± 339 kcal/day). Our findings indicated that, except for the Harris–Benedict and Schofield equations, three Chinese equations and two fat-free mass (FFM) modeling equations all significantly underestimated RMR compared to the measured value (all p < 0.01). There were no significant differences between predicted and measured RMR using the new equations for females and males. Of the pre-existing equations, Schofield’s is the most suitable for Chinese mainland adults. However, the two new equations developed in this study seem to be more effective for predicting the RMR of Chinese mainland adults, and need to be validated by a larger independent sample with different physiological and anthropometric characteristics.