Miracle-dz/UniFAR-FTUs huggingface dataset:
Leveraging the Annual Wellness Visit to Improve Rural Depression Management

Purpose : Depression is a common condition in rural primary care associated with significant adverse health and quality of life outcomes. Despite evidence-based practice recommendations, depression screening and follow-up are inconsistent in practice. The purpose of this quality improvement project was to improve the rate of depression screening and management as a component of the Annual Wellness Visit (AWV) in the rural, primary care setting. The overarching project aim was to increase the rate of depression screening and treatment in adult Medicare patients by 50% through the implementation of a standardized screening instrument and management plan within eight weeks of project implementation. Sample: The sample population included 66 Medicare beneficiaries receiving a Medicare Annual Wellness Visit at a primary care practice in rural Northeast Texas. Method: The central focus of this quality improvement project was to initiate standardized depression screening and management in the Medicare population as a component of the annual
Joint Task Scheduling and Energy Management for Heterogeneous Mobile Edge Computing With Hybrid Energy Supply

Mobile edge computing (MEC) has recently become a promising paradigm to meet the increasing computing requirement of mobile devices, and hybrid energy supply has been considered as an effective approach for saving the energy consumption of the MEC system and making it environmentally friendly. In particular, the joint task scheduling and energy management (TSEM) scheme plays a crucial role in reaping the benefits of MEC with hybrid energy supply. In this article, we focus on jointly optimizing the TSEM decisions to maximize the utility of the MEC system which accounts for both the computation throughput and the fairness among different cells, by formulating a stochastic optimization problem subject to the constraints of queue stability and energy budget. We transform the formulated problem into a deterministic problem and then decouple it into four independent subproblems, which can be solved in a distributed manner without future system statistical information. An online TSEM algorithm is developed to derive the optimal solutions to these subproblems. Mathematical analysis shows that TSEM can achieve a close-to-optimal system utility and realize the utility–queue tradeoff. The experimental results validate the advantages of TSEM in improving the system utility and stabilizing the queue length.
Impact of hypolimnetic oxygenation on profundal macroinvertebrates in a eutrophic lake in central Alberta. I. Changes in macroinvertebrate abundance and diversity

Hypolimnetic oxygenation from 1988 to 1991 in the north basin of Amisk Lake increased mean summer (June-August) dissolved oxygen (DO) concentrations in the deep hypolimnion (25 m) from 2000 ·m-2 from 1988 to 1991 whereas Chaoborus spp. , Tubificidae, and other taxa remained uncommon at similar depths. Shannon-Weaver indices of diversity decreased as oxygenation progressed, in contrast with previous studies. Similar patterns in densities and diversity were observed in the south basin of Amisk Lake, although the increase in DO concentrations was smaller relative to the north basin. The impact of increased water temperature on macroinvertebrates appeared minor relative to the effects of increased DO concentrations. No changes in mac.
Measuring Temporal Distance Focus From Tweets and Investigating its Association With Psycho-Demographic Attributes

Temporal distance (TD) is a type of psychological distance which shows how an individual construes past and future. It is not explored with empirical research as to how an individual’s focus on temporal distance (near-past, far-past, near-future, and far-future) can be measured from human-written text and further used for studying human tendencies. Traditionally, focus on a Temporal Distance is studied by self-report measurements. In this article, we present a study on human focus on a temporal distance from their Twitter posts (English tweets). We first identify the tweet-level temporal focus by deep neural classifiers which make use of linguistic knowledge for classification. The model classifies each tweet into one of near-past, far-past, near-future or far-future. Classified tweets are then grouped by users to obtain the user-level temporal focus. Finally, we correlate the user’s focus on temporal distance (near-past, far-past, near-future, and far-future) with his/her demographic (age, gender, education, and relationship status) and psychological attributes (intelligence, optimism, joy, sadness, disgust, anger, surprise, and fear). Our empirical analysis reveals that users’ near-past focus is more positively correlated to their age. We also observe that users’ near-future focus is correlated to joy while users’ focus on far-past is associated with negative emotions like sadness, disgust, anger, and fear.
Time Series Human Motion Prediction Using RGB Camera and OpenPose

: The report projects that by 2050, the population aged 60 and above will reach 2.1 billion. This aging society is more likely to suffer from locomotive syndrome. In order to reduce the spread of locomotive syndrome, it is best to increase awareness before the citizens become elderly. We propose the system to predict human motion as the first step to realize the locomotive syndrome estimation. Previous researches were using the Kinect camera which has a depth sensor that the camera used to detect the pose of a human body. However, in this research we are using an RGB camera as a reliable alternative. We set a goal to predict 1 second ahead of the motion which includes simple motions such as hand gesture and walking movement. We used OpenPose to extract the features of a human body pose including 14 points. YOLOv3 is used to crop the main feature in the frames before OpenPose process the frame. Distance and direction which are calculated from the features by comparing two consecutive frames as the input of Recurrent Neural Network Long Short-term Memory (RNN-LSTM) model and Kalman Filter. Mostly, Kalman Filter show better accuracy then RNN-LSTM and based on the human motions, motion such as hand gesture and moving to the right side are easier than more complex motion like hand gesture and moving to the left side. We confirmed the validity of RGB-camera based method in the simple human motion case from the result.
Estudo da Produção de Lipase por Bactérias Isoladas de Efluente de Abatedouro Avícola

Lipases de origem microbiana apresentam diversas aplicacoes biotecnologicas e podem ser usadas na biorremediacao de ambientes poluidos com residuos lipidicos. Neste trabalho foi avaliada a producao de lipase por tres microrganismos isolados de efluente de matadouro avicola. Os resultados demonstraram que apenas as cepas do isolado BF06, classificadas como bacterias pertencentes ao genero pseudomonas, apresentaram producao de lipase no meio de cultivo. A maior producao foi observada apos 24 h de cultivo com uma atividade catalitica de 35 U.mL -1 , em meio contendo oleo de oliva como fonte de carbono. Estes resultados sugerem que BF06 tem grande potencial para o tratamento de residuos industriais e novos ensaios estao em andamento visando a otimizacao da producao de lipase por esta bacteria.
Mote (Model Training Environment)

: Data is the lifeblood of all businesses. Data-driven decisions make the difference between leading with the competition or fall down. Machine learning is the key to unbolting the values of companies and customers data and approving decisions that keep a company ahead in the race. The conception of the Model Training Environment is to make an interactive, visual workspace to easily build, test, and iterate on a predictive analysis model. The user can deploy a machine learning model without writing a single line of coding. The testing and training for the model are done on the same dataset. One can also summarise the dataset using a correlation matrix which helps to summarize the data and tells the relationship between the features of the data in the form of a matrix. Consequently, a pickle file for the trained model can be made to allow the user to use the implemented machine learning model anytime. Anyone who has little or no knowledge of machine learning can use the system for implementing and creating machine learning models without any hassle of programming being needed.
Occurrence of False Smut on Date Palm (Phaenix dacyilifera L.) in the Southern Coastal Plain of Yemen

Twelve date palm cultivars were evaluated for resistance to Graphiola leaf spot caused by Graphiola phaenicis (Moug) poit. The disease incidence and number of sori were compared on both surface of leaf, pinnae position on leaves and plant age. Cultivars Gizaz, Tha'al and Khodari showed negligable infection and fewer number of sori on the leaf surface and rachis. Symptom of disease was absent on leaves and rachis in cultivar Sagaee. These cultivars differed significantly from susceptible cultivars Shahree, Soqotree and Khalas (P = 0.01). Abundant distribution of sori caused a drastic reduction of the leaf area covered by the fungus. Adaxial leaf surface trapped more number of sporidia and significant differences were detected among test cultivars (P = 0.05). The temperature ranging between 32°C-38°C in summer and humidity accompanied by heavy dew in the night and early morning favored the development of infection. Correlation of age on cultivar "Shahree" and disease incidence revealed that older trees are more susceptible to disease.
A Bio-Inspired Reward-Based Message Forwarding For Vehicular Social Network

The Ants capability of working together and their way of message transmission makes us inspired especially their cooperation for their common goal and dropping down pheromones which used as a trail for themselves and for others. We would use Ants broadcasting method for drivers‟ cooperation and message forwarding. Therefore if there were any driver who couldn‟t broadcast any emergency message related to car accident like Ants done to locate the food source, could be considered as a selfish node and couldn‟t be rewarded as cooperatives do. The previous vehicle to vehicle communication or message forwarding schemes that was tried to motivate cooperative drivers used incentive methods in which it is not motivating all participant nodes and some of them used punishment methods. These types of methods are not effective to stimulate selfish drivers. We conducted the research using embedded traffic simulation in which it includes mobility and network simulation capabilities merged together and served as multi-functional software. From the tools falling into the embedded category is National Chiao Tung University network simulator (NCTUns) which provides a full range of network stack simulation tools. Watchdog was our selfishness detection method, in which the RSU controls whether nodes are cooperative or not because the (Road Side Unit) RSU knows where the nodes were located and in which path they are drive and what messages they broadcasted. The rewarding model we used is paying per packet. The payment principle is for each successfully transmitted unit-sized packet, each of N intermediate nodes should receive λ credits, whereas the service provider (SP) would pay λ ∗ N in total. The proposed solution was evaluated by the three performance metrics which are dropped packets, selfishness detection method and delivery ratio. Based on our experiments result the number of accident increased as the number of total nodes increased in the same simulation area. As the number of nodes participated on the area increases the probability of having an accident increases and the probability of stimulating selfish nodes increased using the same incentive method and amount because there is a probability of accident commit increases and the rewarding and acknowledgement messages also increases in which it can stimulate the selfish nodes.
Ecological analyses of Nitidulidae: seasonal occurrence, host choice and habitat preference

Temporal, chemical and spatial separation of nitidulid beetles (Coleoptera) were examined with baited traps over two seasons (1989 and 1990) in temperate North America. In both years, Stelidota geminata (Say), Carpophilus lugubris Murray, Glischrochilus fasciatus (Olivier) and Glkischrochilus quadrisignatus (Say) comprised 95–99% of all nitidulid beetles collected. These species were collected in greatest numbers in July, except for C. lugubris, which was collected in high numbers in July and late September in 1990. Peaks in trap catch were preceded, in most cases, by high percentages of gravid females. Carpophilus hemipterus (L.) was the only nitidulid species that showed a significant preference for Candida krusei‐inoculated fruit and vegetable baits over aseptic baits in 1989. For three of the four dominant species, the response to baits was broad: C. lugubris was the only species that exhibited a specialized response to one substrate over the entire trapping period in both years. G. quadrisignatus showed a seasonal or local specialization to maize baits in the spring of 1989 and at two of the three locations in the spring of 1990. There was a clear division in habitat preference for the dominant species: C. lugubris and G. quadrisignatus occurred almost exclusively in agricultural settings, whereas G. fasciatus occurred predominantly in woodlots. Numbers of S. geminata fluctuated seasonally, showing a preference for woodlots early and late in the season and a preference for agricultural settings throughout most of the summer. Less common nitidulid species also displayed habitat preferences. Although the Nitidulidae have had a longer association with climax communities than with ruderal communities, the diversity of nitidulid beetles was similar in the two habitat types. This may be because many of the resources these beetles use for food and oviposition sites in climax communities are ephemeral and closely related to the resources that they use in ruderal communities (i.e. wild versus domesticated strawberries, wild versus domesticated cherries and hawthorn fruit versus apple).
Evaluation of Xylem-Feeding Insects (Hemiptera: Auchenorrhyncha) in Texas Vineyards: Distribution along State-Wide Environmental Gradients

Abstract. The goal of this project was to analyze a large collection of insect trap data accumulated by the Texas Pierce's Disease Research and Education Program. The traps were set in grape, Vitis, vineyards across Texas to monitor the abundance and distribution of xylem fluid-feeding insects that may vector Pierce's disease. This study evaluated the three most abundant xylem fluid-feeding insects in Texas vineyards: the glassy-winged sharpshooter, Homalodisca vitripennis (Germar); a smaller green sharpshooter, Graphocephala versuta (Say); and the sunflower spittlebug, Clastoptera xanthocephala Germar. Canonical Correspondence Analysis was used to analyze insect abundance against environmental gradients of ecoregion, elevation, annual precipitation, and cold hardiness from 2003–2007 in each of 40 vineyards. Canonical Correspondence Analysis showed that distribution of species along environmental gradients differed significantly (p = 0.001) and the environmental gradients explained almost 67% of the variability in insect distribution across the state. The Canonical Correspondence Analysis plot also suggested niche differences among these insect species.
Diversity and abundance of bryophytes, lichens, and fungi in relation to woody substrate and successional stage in aspen mixedwood boreal forests

We examined the effects of woody substrate and stand age on diversity and relative abundance of bryophytes, lichens, and fungi in trembling aspen (Populus tremuloides Michx.) mixedwood boreal forests in Alberta. Point sampling was carried out on surfaces of downed woody material in young (23-26 years), mature (51-63 years), and old (122-146 years) aspen mixedwood stands. Downed woody material was categorized into one of seven decay stages. Diversity and relative abundance of bryophytes, lichens, and fungi were related to decay stage of the log and to stand age. Old aspen mixedwood stands had the highest nonvascular species richness and the greatest diversity of woody substrates in each of the decay stages. The seven decay stages shared many species. Species of bryophytes, lichens, and fungi on particular decay stages were different across the age-classes, indicating that time, as well as structural attributes, were important in determining species assemblages. These results suggest that both the presence .
Implementation of Social Customer Relationship Management Using Instagram and Facebook as Songket Marketing Media

Social Customer Relationship Management (SCRM) is a strategy used by a company or organization to be able to create and maintain a good relationship with its customers and reduce the possibility of its customers moving to other products. By using social media applications. Mawar Songket Palembang is a shop that sells a variety of typical songket of Palembang. Mawar Songket Palembang requires a strategy to be able to establish relationships and improve services to its customers so that their customers remain loyal to the shop. This study aims to build a Social Customer Relationship Management (SCRM) using Instagram and Facebook applications to establish relationships and improve their services to customers. The method used in this study is Framework of Dynamic CRM method which consists of three phases namely Acquisition, Retention, Expansion. The results of the study show that respondents' answers regarding the information provided through social media is 100% that it is very needed, 96% regarding photo suitability, 90% accuracy of selling prices, 84% does not experience problems in the transaction process and respondents stated that the admin service process is very good.
Effect of nitrogen compounds on nitrogenase activity in Herbaspirillum seropedicae SMR1

The effect of nitrogen compounds on growth and nitrogenase activity of Herbaspirillum seropedicae SMR1 was determined. L-Glutamate or L-glutamine as sole nitrogen sources supported growth, and nitrogenase activity was observed only after exhaustion of L-glutamate or L-glutamine from the culture medium. L-Serine, L-alanine, or ammonium chloride supported growth but not acetylene reduction activity. No growth was observed with L-histidine, L-lysine, L-arginine, or with the amines methylammonium chloride, tetramethylammonium chloride, or ethylenediamine chloride. All the compounds promoted the switch off of nitrogenase activity except L-histidine, L-lysine, or L-arginine, which were not taken up. The results showed that H. seropedicae cannot utilize exogenously added L-histidine, L-arginine, L-lysine, methylammonium chloride, tetramethylammonium chloride, or ethylediamine as the sole N source for growth. The inability of the positively charged amino acids to promote nitrogenase switch off might be a result o.
Oligomerization of amyloid β‐protein occurs during the isolation of lipid rafts

Cholesterol‐ and glycosphingolipid‐rich microdomains, called “lipid rafts,” are suggested to initiate and promote the pathophysiology of Alzheimer's disease by serving as a platform for generation, aggregation, or degradation of amyloid‐β protein (Aβ). However, methods for biochemical isolation of these microdomains may produce artifacts. In this study, when synthetic Aβ1– 40 monomers were added to the brain fragment at a final concentration of 2.1 μM, followed by homogenization and isolation of lipid rafts by an established method, Aβ1– 40 accumulated as oligomers in the lipid raft fraction. However, in the absence of a brain homogenate, synthetic Aβ1– 40 did not accumulate in the lipid raft fraction. When fractionation was performed in the absence of synthetic Aβ1–40 and synthetic Aβ1–40 was incubated in an aliquot of each fraction, a marked oligomerization of Aβ1– 40 was observed in the lipid raft aliquot. These results indicate that exogenous Aβ associates with lipid rafts, and Aβ bound to rafts forms oligomers during the isolation of lipid rafts. In addition, endogenous Aβ1–40 in a Triton X‐100‐insoluble fraction of a brain homogenate of the Tg2576 transgenic mouse model of Alzheimer's disease formed oligomers when the fraction was incubated at 4°C for 20 hr. Thus, one should be careful when one discusses the role of lipid rafts in amyloid precursor protein processing and in the generation, aggregation, and degradation of Aβ. © 2005 Wiley‐Liss, Inc.
X-ray atomic mapping of quantum dots

We report a model-independent atomic-mapping technique for quantum dots (QDs) by combining Bragg reflection x-ray standing wave (XSW) and grazing incidence diffraction (GID) measurements. In this study, we choose GaAs capped InGaAs QDs/GaAs(001) as a model system to show the locations and arrangements of indium atoms within the QDs along various $[hkl]$ directions. This technique directly reveals the actual amount of positional anisotropy and ordering fraction of indium atoms within the QDs by probing the ($\overline{1}11$), (111), (311), ($\overline{1}31$), (113), and ($\overline{1}13$) crystallographic planes. We find that indium atoms are outwardly shifted along the [001] direction by small fractions of the lattice constant, $0.04{a}_{\mathrm{GaAs}}$ and $0.06{a}_{\mathrm{GaAs}}$ from Ga sites for 50- and 150-\AA{} GaAs capped InGaAs QDs, respectively. We observe that an improved coherency factor of the indium atoms within the QDs by 45--60% along the [001] and [011] directions reduces the photoluminescence linewidth by 22%, thus making the QDs efficient for QD-laser and optoelectronic device applications. We also find that the position and ordering of In atoms along the (113) and ($\overline{1}13$) planes are most sensitive to the thickness of the GaAs cap layer. Our XSW-based results are supported by numerical calculations using a QD-macroscopic structural model based on our GID study. We thus show that this atomic-mapping technique will be useful for studying various quantum structures and tuning their properties.
Land use impacts on benthic bioturbation potential and carbon burial in Brazilian mangrove ecosystems

The potential of Blue Carbon as an integral part of global climate change adaptation and mitigation strategies requires quantification of drivers and rates of organic carbon (OC) burial and storage. However, there is limited recognition of how land use impacts benthic assemblages, their bioturbation potential, and OC burial in mangrove forests and tidal flats. Here we evaluated the effects of mangrove deforestation on benthic bioturbation potential (BPc), sediment accretion rates (SARs), and OC and total nitrogen (TN) burial in mangrove soils and tidal flat sediments from three estuaries in tropical Brazil. SARs based on 210Pb dating varied significantly among undisturbed estuaries (2.1–18.6 mm yr−1) and the OC and TN burial rates were respectively 46% and 16% higher than global averages. The cleared mangrove sites had a twofold lower SAR, 40‐fold lower OC burial, and over 100‐fold lower TN burial when compared to undisturbed forests, revealing the pervasive impacts of land use. Variation in benthic assemblage structure and BPc among sites suggests that the composition and activity of macrofaunal communities may facilitate OC burial in some cases, yet the global extent and significance of bioturbation requires further study. Our work reveals a strong spatial variability in C burial in undisturbed mangrove forests and a decreased capacity of mangroves to accumulate C and sediments due to land use effects.