Miracle-dz/UniFAR-FTUs huggingface dataset:
Differentiate Learning Management to Optimize Student Needs and Learning Outcomes in An Independent Curriculum

This study aims to manage teacher performance in junior high schools by applying a differentiation learning model to optimize students' needs and learning outcomes. The method used in this study is the experimental method, namely by testing the differentiation learning model in students when learning whether it is following the needs of students, then presenting student learning outcomes based on the differentiation model in the independent curriculum. The experimental method aims to improve students' thinking skills in discovering and understanding a concept or theory of the subject being studied. The results showed that the application of the differentiation model to learning Indonesian could improve student learning outcomes and the learning model to be differentiated according to the needs of students, especially in the current implementation of the independent curriculum, which can be seen from the main pattern of meeting 1 with a classification that is quite decent to admirable in the second meeting pattern 2. This study concludes that the differentiation model can be used during learning because it suits the needs of students and can improve student learning outcomes.
Seed Ecology and Environmental Condition of Hyperuim Sinaicum , Growing in South Sinai , Egypt

There are increasing threats facing the rare plants including the endemic populations. Also the potential development of the earth's vast desert areas for agriculture and other human-needs demands an awareness of the ecological characteristics and requirements of desert vegetation. Saint Catherine area has a unique location and environment. The vegetation and wild life in Saint Catherine area is subjected to great disturbance through the unmanaged human activities. In the present study we had used seed ecology in order to contribute in designing a sound long term conservation plan for the threatened endemic studied medicinal species; Hypericum sinaicum, at two levels; (a) soil seed bank and its relationship to above ground vegetation and (b) the germination response at different conditions and pretreatments on wetted substrate. Hypericum sinaicum grows in Sinai on mountainous sheltered moist crevices and in Hijaz in the extreme north-west of Saudi Arabia and in Edom in Jordan. The results revealed that seven endemic species were identified in soil seed bank; Veronica khaiseri, Hypericum sinaicum, Nepeta septemcrenata, Plantago sinaica, Origanum syriacum, Phlomis aurea, and Primula boveana. Germination treatments on Hypericum sinaicum seeds showed that calcium carbonate (CaCO3) and hot water of 50°C treatment was found to be most effective to improve seed germination depending on doses, while other treatments were efficient to a lesser degree. As a general conclusion, the present study clarified that the behaviour of endemic species along environmental gradients varies greatly, as well as in its strategies in struggling for existence.
Vitamin C – a scoping review for Nordic Nutrition Recommendations 2023

Vitamin C has multiple metabolic functions in the body, but the available information on the exact relationship between these functions and the intake necessary to maintain them is very limited. However, most attempts to objectively measure adequacy of vitamin C status, including, for example, replacement of metabolic turnover, chronic disease prevention, urinary excretion, and saturation of immune cells and body compartment, currently point toward 50 µmol/L as a reasonable target plasma concentration. As a strong correlation between body weight and vitamin C status exists, recommended intakes (RIs) for other age groups may be extrapolated from the adult RI based on weight. However, as body weights above 70 kg are becoming increasingly common – also in the Nordic region – an RI of 140 mg/day for individuals weighing 100 kg or more should be considered to compensate for the larger volume of distribution. Finally, smoking continues to be a common contributor to poor vitamin C status; therefore, it is proposed that people who smoke increase their daily vitamin C intake by 40 mg/day to compensate for the increased metabolic turnover induced by smoking.
A Constant Voltage/Current CPT System With Lightweight Characteristics for the Unmanned Aerial Vehicle

The large weight of the unmanned aerial vehicle (UAV) could cause a decrease in endurance mileage, while poor anti-offset performance could extend charging time and may even damage onboard equipment. To address the above issues in constant-voltage/current capacitive power transfer (CPT) system for the UAV, a constant voltage/current (CV/CC) CPT system with lightweight characteristics for the UAV is proposed. Firstly, a capacitive coupler with strong anti-offset tolerance for the CPT system is proposed, and the coupling performance and equivalent model are studied. Secondly, the switching strategy for constant voltage/current output is studied based on the T- $\pi $ type compensation circuit, without additional compensating elements. Finally, a simulation model and a test prototype are built to verify the feasibility and effectiveness of the proposed system. The results show that the system achieved a constant voltage output of 60 V and a constant current output of 2 A. And the rate of change of the output voltage and current is less than 6% when the capacitive coupler is offset by ±100 mm, the rate of that is less than 6% when the load changes. The switching strategy proposed in this paper has obvious lightweight advantages and could serve as a reference for designing the CPT system for the UAV.
A predictive model for frequent exacerbator phenotype of acute exacerbations of chronic obstructive pulmonary disease

Background The frequent exacerbator phenotype of acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is characterized by experiencing at least two exacerbations per year, leading to a significant economic burden on healthcare systems worldwide. Although several biomarkers have been shown to be effective in assessing AECOPD severity in recent years, there is a lack of studies on markers to predict the frequent exacerbator phenotype of AECOPD. The current study aimed to develop a new predictive model for the frequent exacerbator phenotype of AECOPD based on rapid, inexpensive, and easily obtained routine markers. Methods This was a single-center, retrospective study that enrolled a total of 2,236 AECOPD patients. The participants were divided into two groups based on the frequency of exacerbations: infrequent group (n=1,827) and frequent group (n=409). They underwent a complete blood count, as well as blood biochemistry, blood lipid and coagulation testing, and general characteristics were also recorded. Univariate analysis and binary multivariate logistic regression analyses were used to explore independent risk factors for the frequent exacerbator phenotype of AECOPD, which could be used as components of a new predictive model. The receiver operator characteristic (ROC) curve was used to assess the predictive value of the new model, which consisted of all significant risk factors predicting the primary outcome. The nomogram risk prediction model was established using R software. Results Age, gender, length of stay (LOS), neutrophils, monocytes, eosinophils, direct bilirubin (DBil), gamma-glutamyl transferase (GGT), and the glucose-to-lymphocyte ratio (GLR) were independent risk factors for the frequent exacerbator phenotype of AECOPD. The area under the curve (AUC) of the new predictive model was 0.681 [95% confidence interval (CI): 0.653–0.708], and the sensitivity was 63.6% (95% CI: 58.9–68.2%) and the specificity was 65.0% (95% CI: 60.3–69.6%). Conclusions A new predictive model based on demographic characteristics and blood parameters can be used to predict the frequency of acute exacerbations in the management of chronic obstructive pulmonary disease (COPD).
Water Footprint of Household Food Consumption in Heilongjiang Province, China

The consumption of the water footprint under food consumption is great along the whole supply chain. On the basic of the water footprint data of products and China Health and Nutrition Survey, the study focuses on the constitution of three color-coded components: the green, the blue and the grey water footprint and the differences of generated water footprint between crops and animals in the Heilongjiang northernmost province of China. The result reveals a strong correlation amount three footprint components of blue, green and grey water, with correlation coefficients of 0.76, 0.86 and 0.85. The household income has a great influence on the water footprint generation of food consumption. The study intends to provide an insight in future diet optimization to lower diet-associated water consumption.
Reward Framework for Worldwide Feedback Utilizing Multi Agent System

A criticism helps individual to take best decision of thing or any information available online as the proposition begin from different sources. Feedback structure makes use of instinctive expert systems which assembles information from different sources, gives the fancied results however the weakness is administrators may be arranged transversely over different destinations that will work together to give organizations, yet are unwilling to reveal selective information about their examination. Multi agent [1], [2] environment gives exact info examination methods by encountering every feedback present on the web. In existing system the chain of authorities were picked and counts is associated for asking for of feedback and outline. The inconvenience in determination of administrators was liable to the data properties and system resource where execution was exceptionally inefficient. In proposed structure, DisCo count incorporates making of a web learning calculation using multi-administrator system that helps the authorities to understand how to assemble general result in circumstances where basically boisterous general data is open for giving overall feedback, without sharing information among them. The numerical result from overall feedback depicts the general prize learning count on an exceptionally fundamental level overcome existing web adapting game-plan regarding learning speed and gives the definite information. Keywords— Data miming; muliti-agent system; feedback system; DisCo algorithm; overall reward information.
Estimulação cognitiva multicomponentes aliada às ações educativas para idosos saudáveis em contexto de pandemia da COVID-19

Com a pandemia da COVID-19, emergiram novos desafios para um envelhecer saudável. Considerando que o declínio cognitivo tem importante influência na condição física e psicológica dos idosos, este estudo objetivou identificar os potenciais benefícios de uma intervenção de estimulação cognitiva multicomponentes para idosos saudáveis realizada no contexto da pandemia da COVID-19 de maneira remota. Foram 11 sessões programadas com aula educativa e atividades de estimulação cognitiva, com idosos participantes das oficinas de estimulação cognitiva, oferecidas no programa USP 60+ da Universidade de São Paulo. Os participantes passaram por avaliação pré e pós-intervenção através de um protocolo de avaliação da cognição global, avaliação do humor e avaliação funcional. Os resultados indicaram redução nos níveis de ansiedade dos participantes.
Trace Gas Concentrations in Small Streams of the Georgia Piedmont

We have been measuring concentrations of the trace gases nitrous oxide (N2O), methane (CH4), and carbon dioxide (CO2) and other parameters in 17 headwater streams within the South Fork Broad River (SFBR) watershed on a monthly basis since January 2001. Land use within each watershed was calculated from the National Land Cover Data (NLCD) database. The concentrations of all three gases have varied widely over the course of the study, and have frequently (N2O) or always (CH4 and CO2) exceeded levels expected if the streams were in equilibrium with atmospheric concentrations of these gases. Streams draining highly developed watersheds have the highest N2O and CO2 concentrations and streams draining pasture-dominated watersheds have the highest CH4 concentrations. Streams draining forested watersheds have the lowest N2O, CO2, and CH4 concentrations. The concentrations of all three of these trace gases exhibit significant positive correlations with dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations suggesting that they may be useful indicators of organic waste and/or nutrient inputs to streams. In some cases, elevated stream trace gas concentrations may serve as early warning indicators of watershed disturbance.
A Comprehensive Identification and Expression Analysis of the WUSCHEL Homeobox-Containing Protein Family Reveals Their Special Role in Development and Abiotic Stress Response in Zea mays L.

Maize is an important food and cash crop worldwide. The WUSCHEL (WUS)-related homeobox (WOX) transcription factor (TF) family plays a significant role in the development process and the response to abiotic stress of plants. However, few studies have been reported on the function of WOX genes in maize. This work, utilizing the latest maize B73 reference genome, results in the identification of 22 putative ZmWOX gene family members. Except for chromosome 5, the 22 ZmWOX genes were homogeneously distributed on the other nine chromosomes and showed three tandem duplication and 10 segmental duplication events. Based on phylogenetic characteristics, ZmWOXs are divided into three clades (e.g., WUS, intermediate, and ancient groups), and the majority of ZmWOXs in same group display similar gene and protein structures. Cross-species collinearity results indicated that some WOX genes might be evolutionarily conservative. The promoter region of ZmWOX family members is enriched in light, plant growth/hormone, and abiotic stress-responsive elements. Tissue-specific expression evaluation showed that ZmWOX genes might play a significant role in the occurrence of maize reproductive organs. Transcriptome data and RT-qPCR analysis further showed that six ZmWOX genes (e.g., ZmWOX1, 4, 6, 13, 16, and 18) were positively or negatively modulated by temperature, salt, and waterlogging stresses. Moreover, two ZmWOXs, ZmWOX1 and ZmWOX18, both were upregulated by abiotic stress. ZmWOX18 was localized in the nucleus and had transactivation activities, while ZmWOX1 was localized in both the cytoplasm and nucleus, without transactivation activity. Overall, this work offers new perspectives on the evolutionary relationships of ZmWOX genes and might provide a resource for further detecting the biological functions of ZmWOXs.
CONSIDERATIONS ON THE ORIGIN OF THE QUATERNARY ICE SHEET OF NORTH AMERICA

It is generally agreed that the Quaternary ice sheets of the Northern Hemisphere were brought about by a cooling of the atmosphere. A temperature decrease tends to reduce water vapor in the air and thus the precipitation. Ahlmann's curve connecting summer temperature and apparent accumulation at the glaciation limit is probably not applicable to the start of the Labrador-Ungava ice sheet which could have been initiated with smaller accumulation than the curve indicates. However, a cooling of 6? C with the present precipitation hardly seems sufficient. It is unlikely that "glacial ice" of high density could have started an ice sheet itself. Even if the possibility of a growth of the Keewatin ice sheet from "valley ice" is accepted, a cooling of only 6? C would not be enough. The region would then have had the climate of unglacierized northern Siberia today. The start of the North American ice
Research on Encrypted Traffic Detection Based on Key Features

Most of the traffic on the Internet is encrypted traffic, and the detection of encrypted traffic is the current difficulty, because the internal features of the data are destroyed after encryption, and it is difficult to detect. Most of the existing detection of encrypted traffic is based on the external features of encrypted traffic, which requires the extraction of full-cycle information of traffic, and has poor real-time performance. Therefore, based on the internal features of encrypted traffic, this paper proposes a Key Feature Fusion Detection (KFFD) method based on generative adversarial network, which restores the destroyed internal features by encryption key and generative adversarial network, and then improves the internal feature recognition effect of encrypted traffic. Experiments using the Kaggle dataset show that the KFFD method can improve the detection performance of encrypted traffic to a certain extent.
Passivity-Based Design of Frequency Adaptive Repetitive Controller for LCL-Type Grid-Connected Inverters

The frequency adaptive repetitive controller (FARC) can offer high control accuracy for grid-connected inverters (GCIs) in the presence of grid voltage distortions and frequency variations. The conventional design guidelines for FARC are primarily based on the system's closed-loop transfer function, which is only able to assess the internal stability of GCIs. However, their external stability is uncertain in complex grid impedance conditions, such as a weak inductive grid, a capacitive grid, or a grid comprising multiple inverters. The frequency-domain passivity theory offers a sufficient stability condition for GCIs operated in complex grid impedance conditions and has been widely recognized and applied in the control design. This article establishes an optimization problem with constraints of internal stability condition, passivity compliance, and grid frequency variation for FARC-controlled LCL-type GCIs involving inverter-side or grid-side current control modes. By solving the established optimization problem, the system can fulfill a full-frequency passive output admittance, simultaneously achieving sufficient stability condition and high control accuracy regardless of grid voltage distortions, impedance and frequency variations. Finally, theoretical findings are verified by experimental results from a laboratory prototype.
Separate and Interactive Effects of Consumers and Nutrient Enrichment on the Structure of Benthic Marine Communities

The gastropod Cypohoma gibbosum is a principle predator of gorgonian corals on Caribbean coral reefs. However, little is known about how C. gibbosum populations are regulated or about how C. gibbosum affects gorgonian populations. We used 4 m cages to exclude large, predatory fishes and invertebrates from natural areas of a coral reef in the Florida Keys and assessed the role of predators in affecting C. gibbosum densities and their damage to gorgonians. After 10 months, C. gibbosum was up to 50X more abundant in predator exclosures than in uncaged areas. Gorgonians in predator exclosures were grazed 2.5X as often and exhibited 8.4X more recent damage from C. gibbosum predation than gorgonians in uncaged areas where gastropod predators were not excluded. The most abundant gorgonian, Pseudopterogorgia americana, had 8.6X more grazing damage inside predator exclosures than in uncaged areas. These data suggest that predators suppress populations of C. gibbosum and that overfishing of gastropod predators such as the hogfish, Lachnolaimus maximus, or Caribbean spiny lobster, Panuliris argus, could lead to release of C. gibbosum and increased predation on gorgonians. Introduction Gorgonian corals are common on most Caribbean coral reefs and are often the dominant benthic invertebrate in some areas (Lasker & Coffroth 1983, Yoshioka &
Transport and transformation of cadmium in soil-plant systems and the influence factors

Cadmium (Cd) is non-essential for plants and animals and is known as one of the five most toxic environment pollutants. It can be absorbed readily by crops and accumulated in human body through food chains, resulting in human body health problems. With the addition of Cd-containing manures, fertilizers, sewage, biosolids and other soil amendments, soil contamination is becom-ing serious over large areas. Accordingly, soil contamination with Cd and other heavy metals and plant uptake of those heavy metals has been one of the focuses of environmental science because of their transportation and accumulation in food chains. There are many factors that affect Cd transport in soil-plant system such as soil pH, soil redox potential, cation exchange capacity, plant species, and fertilizer application etc. In this paper, advances in studies on Cd transport and transformation in soil-plant systems were re-viewed emphasizing on four factors: soil properties, Zn element, P element and accompanying anions (Cl- and SO42-) with two re-cently discovered factors (P element and accompanying anions (Cl- and SO42-)) described, and the possible mechanisms of their in-fluence were expounded.
Optimized Neighbor Discovery for Opportunistic Networks of Energy Constrained IoT Devices

A careful planning of sleeping activities is essential for guaranteeing long operational time to energy constrained IoT devices, given the extremely low energy consumption required during the sleeping mode. Neighbor discovery instead requires nodes to continuously listen to the radio channel to detect potential and unpredictable messages coming from the arrival of new nodes. These two contrasting needs raise a fundamental question: Should a node be active and listen to the channel or sleep and save energy? Hardware manufacturers introduced dedicated low-power circuitry to allow an energy efficient fast duty cycle (Wake-on Radio) or designed to wake up the main processor when special packets are received (Wake-up Radio). In this work, we propose a novel analytic model optimizing the number of discovered peers for a given energy budget. Our theoretical study demonstrates the existence of an optimum duty cycle in a wide range of operating environments. We designed an adaptive algorithm that dynamically tracks the optimum even in non-stationary conditions, only using local device estimations, therefore allowing nodes to optimize their own duty cycle. Nodes globally converge to a system-wide optimum of a minimal network discovery energy cost.
PREVALENCE DES FACTEURS DE RISQUE CARDIO-VASCULAIRE CHEZ LES OGO DU TOGO

Objectives - Epidemiology of cardiovascular diseases (CVD) is still unknown in Togolese isolate ethnic groups. The aim of this study is to evaluate influence of environment, dietetic practices and endogamy on the prevalence of CVD risk factors in Ogo (isolate ethnic group). Patients and methods - A cross-sectional study carried out of November 2011 to September 2012 related to 360 Ogo apparently healthy subjects. They were 210 subjects alive in mountain and forest region and 150 subjects living since more than five years on Atlantic coastal region in city. A nutritional investigation was carried out, Body Mass Index and Blood Pressure were measured; glycaemia and lipids were performed by enzymatic methods. Results - Subjects of the city food are richer in animal proteins, saturated and unsaturated trans fats, NaCl, monosodium of glutamate and refined sugar. They are more sedentary and have more increase values for BMI (p < 0.0001); DBP (p<0.001); SBP (p < 0.05). For subject of city, the prevalence of preHT and stage I and II HT is respectively 1.5 and 1,56 times that of the village subjects whose atherogenicity index (CDL-C/HDL-C) is lower (2,77 vs 3,84). Conclusion - Our findings suggest that the Ogo studied are not malnourished and have not overload weight. However the values of CT, TG, CDL-C/HDL-C, glycaemia and blood pressure show that cardiovascular risk factors increase with lifestyle modifications related to the urbanization in the subjects of the city .