Miracle-dz/UniFAR-FTUs huggingface dataset:
EMPOWERING MOTHERS HOME APPLIANCES THROUGH STUDY CAREER MLM (MULTI LEVEL MARKETING) WITH CAPITAL SOCIAL

One of the efforts undertaken by community members, especially housewives in meeting their needs, is to trade or run a business. The trading business they run requires a lot of networks consisting of upline and downline, so that the social relations that exist between upline and downline really require social capital. Tupperware is a product that uses the MLM marketing method with a worldwide trademark and has a reputation as an exclusive manufacturer of household appliances. The research method used is descriptive qualitative. The location of this research is the office of Tupperware PT. Fajar Puncak Pratama Bandung. With a sample of two manager, two team captain and three consultants. The research objective is to find out the form of social capital owned by business people in the Tupperware MLM community and the constraints faced. Data collection techniques used were observation and interviews. The results showed that 1) One of the Tupperware branches in Bandung was PT. Fajar Puncak Pratama, which is owned by Ms. Sofia Agnani. 2) Social Capital that is built into Tupperware members includes three things, namely, networking, norms, trust. 3) There are two obstacles faced in maintaining social capital for the continuation of the Tupperware MLM business, namely the denial of agreement and the emergence of unusual requirements. The conclusion of this research is Tupperware Business in Bandung, one of which is centered in the office of PT. Fajar Puncak Pratama has become an MLM business that can help improve community empowerment, especially housewives, as one of the targets in developing this business.
A systematic review of the effect of omega-3 supplements on meibomian gland dysfunction

Introduction: Meibomian gland dysfunction (MGD) is the leading cause of dry eye syndrome (DES). Many ocular disorders including DES and blepharitis can be linked to MGD. If we treat MGD, we can treat related diseases easily. Purpose: This systematic review is intended to determine the efficacy of omega-3 supplementation in MGD patients. Methods: This systematic review included an electronic search on PubMed and Clinicaltrials.gov to include all randomized clinical trials (RCTs) using omega-3 as a treatment for MGD. Results: Database search yielded to one RCT and six clinical trials through the MEDLINE of a total of 350 participants for the systematic review and meta-analysis study. The investigated treatment group (omega-3 group) had a positive effect on MGD protection in the invasive sodium fluorescein-tear break up time (NaFl-TBUT) score compared with the placebo group (odd ratio = 8.72, 95% confidence interval: 4.73, 16.09; p < 0.001). These data suggest that the odd ratios of the omega-3 group to control group increased the likelihood of the improved stated outcome tear break up time (TBUT) being achieved in the treatment group. No evidence of publication bias was detected in the funnel plot inspection or the Egger’s statistical test (p = 0.2944). Conclusions: A moderate daily dose of omega-3 may be a beneficial therapeutic for MGD. Omega-3 has been beneficial in many diseases, such as heart attack prevention and agerelated macular degeneration, and this systematic review emphasizes its protection against MGD. In addition, this review emphasizes the precision of noninvasive TBUT (NITBUT) compared with invasive NaFl-TBUT which may suggest the importance of NITBUT in the clinic.
Sampling methods affect observed response of bird species richness to vegetation structure in Brazilian savannas

ABSTRACT Vegetation structure is a potentially important ecological factor structuring bird communities, but can also affect bird detectability, which can complicate the resolution of ecological patterns. We addressed how vegetation structure may bias the efficiency of the 3 methods most commonly used to sample bird species richness in the Brazilian savanna (Cerrado), which features a gradient of vegetation structure from grasslands to woodlands. We compiled secondary data on Cerrado bird species richness from the scientific literature, master's theses, doctoral dissertations, and regionally important biological publications. We used generalized linear mixed models (GLMM) to analyze the effects of habitat type and sampling method on Cerrado bird species richness estimates, controlling for variation among publications, researchers, and study sites. The data provided strong support for interactive effects between habitat type and sampling method on observed bird species richness. Point count surveys had a greater average number of species sampled per unit time in all habitats, especially in shrublands and grasslands. The number of species sampled per unit time by transect surveys did not vary across the vegetation gradient. Mist net surveys showed a slight decrease in species numbers sampled with increasing vegetation complexity. Random effects accounted for 40% of data variation, mainly because of methodological differences among studies. Despite the amount of work that has been done in the Cerrado, it is not currently possible to ascertain the relationship between bird species richness and vegetation structure because of the interaction between sampling method and vegetation complexity, as well other factors leading to variation among studies. We suggest that estimating detectability is a feasible solution for studies in which the ecological effect of interest also strongly affects sampling, as is the case in the Cerrado.
Assessment of Water Needs of Grapevines in Western Poland from the Perspective of Climate Change

Climate changes lead to a rise in air temperature, which significantly increases the water needs of plants. Maintaining crop productivity will increasingly require the use of plant irrigation. The aim of this study was to assess the water needs of grapevines cultivated in the western provinces of Poland. The calculations were made on the basis of temperature and precipitation measurements collected at three meteorological stations in the period 1981–2010. Water needs were calculated as crop evapotranspiration, which was estimated by crop coefficients and reference evapotranspiration, determined using the Blaney–Criddle formula. The rainfall deficit was assessed by Ostromęcki’s method. The tendency to increase the water needs was observed in each subsequent decade of the thirty-year period, both in the whole growing season (May–October), as well as in June–August and July. The highest values of the linear correlation coefficient for the trend of time variability in water needs occurred from June to August. An analysis of water needs and rainfall deficits indicates the need for the additional irrigation of vineyards in western Poland, especially in very dry years and in June–August. Current research results are helpful in designing vineyard irrigation systems and allow an economical and efficient planning of grapevine irrigation.
Modeling Urban Venue Dynamics through Spatio-Temporal Metrics and Complex Networks

The ubiquity of GPS-enabled devices, mobile applications, and intelligent transportation systems have enabled opportunities to model the world at an unprecedented scale. Urban environments, in particular, have benefited from new data sources that provide granular representations of activities across space and time. As cities experienced a rise in urbanization, they also faced challenges in managing vehicle levels, congestion, and public transportation systems. Modeling these fast-paced changes through rich data from sources such as taxis, bikes, and trains has enabled prediction models capable of characterizing trends and forecasting future changes. Data-driven studies of urban mobility dynamics have been instrumental in helping deliver more contextual services to cities, support urban policy, and inform business decisions. This dissertation explores how novel algorithmic architectures and techniques reveal and predict business trends and urban development patterns. The research informing this dissertation harnesses principles from network science, modeling cities as connected networks of venues. Building upon a foundation of research in complex network theory, urban computing, and machine learning, we propose algorithms tailored for three computing tasks focused on modeling venue dynamics, characteristics, and trends. First, we predict the demand for newly opened businesses using insights from movement patterns across different regions of the city. Through this analysis we demonstrate how temporally similar areas can be successfully used as inputs to predict the visitation patterns of new venues. Next, we forecast the likelihood of business failure through a supervised learning model. We analyze the value of varying features in predicting business failure and explore their impact across new and established venues and across different cities worldwide. Finally, we present a deep learning architecture which integrates both spatial and topological features to predict the future demand for a venue. These works highlight the power of complex network measures to quantify the structure of a city and inform prediction models. This dissertation leverages vast amounts of data from spatio-temporal networks to model venue dynamics. The research puts forward evidence to support a data-driven study of geographic systems applied to fundamental questions in urban studies, retail development, and social science.
Seasonal Error Component Analysis of the GPM IMERG Version 05 Precipitation Estimations Over Sichuan Basin of China

An error decomposition method is used to analyze and track seasonal error sources of the Integrated Multi‐satellitE Retrievals for the Global Precipitation Measurement (IMERG) Version 05 daily precipitation estimations, including Early‐, Late‐, and Final‐run products (IMERG‐DE, IMERG‐DL, and IMERG‐DF, respectively) over the Sichuan Basin of China from January 2016 to December 2018. The method decomposes the total errors into hit bias, missed precipitation, and false precipitation, which can be attributed to the satellite retrieval processes. Results show that in spring, all the estimations had serious overestimation in the northwest of the basin. The major error source is the hit bias of the intensity over 25 mm/day. In summer, the three IMERG estimations overestimated the precipitation in almost the entire Sichuan Basin, especially in the south and southwest. The principal determinants of the error sources are missed and false light precipitation (<25 mm/day), while hit bias and false precipitation are the leading error sources for the moderate precipitation (25–54 mm/day). In autumn, the IMERG‐DF's overestimation mainly comes from hit and false moderate precipitation (15–64 mm/day), while the underestimation of the IMERG‐DE and DL is mainly determined by missed and false precipitation of the precipitation less than 15 mm/day. In winter, the main contributors to the underestimation of the IMERG‐DE and DL estimations are missed and false lighter precipitation (<8 mm/day). However, the total errors of the IMERG‐DF are resulting from the three components canceling one another. Additionally, missed precipitation often takes place in the autumn and winter and false precipitation in summer and winter. The IMERG‐DL shows better error control of positive hit bias and false precipitation than do the other estimations in summer.
Can late flushing trees avoid attack by moth larvae in temperate forests

Kulfan J., Sarvašová L. , Parák M. , Dzurenko M. , Zach P. (2018): Can late flushing trees avoid attack by moth larvae in temperate forests? Plant Protect. Sci., 54: 272–283. We investigated moth larvae (Lepidoptera) developing in temperate forests in Central Europe shortly after the tree budburst (the “brumata-viridana complex”). Larvae were collected in southern Slovakia in May 2015 and May 2016 from young and mature trees of late flushing Quercus cerris L. and early flushing Q. pubescens Willd. Although Q. cerris yielded fewer species (40 species) than Q. pubescens (47 species), the rarefied number of species and the Chao index suggested a similar number of species on mature trees of both oak species. Both the total number of moth larvae in assemblages and the abundance of dominant species (pests) were significantly lower on Q. cerris than Q. pubescens. The results suggest the release of Q. cerris with delayed budburst from heavy infestations by folivorous moth larvae. Knowledge obtained can be applied in silvicultural and horticultural practices aimed to protect and maintain forest, fruit, and ornamental trees.
A higher dose of vancomycin is needed in critically ill patients with augmented renal clearance

Background Using standard vancomycin dosage in critically ill patients might lead to therapy failure and worse patient outcomes, augmented renal clearance (ARC) may be the leading risk factor. In this study, we comprehensively investigated the pharmacokinetics-pharmacodynamics (PK-PD) of vancomycin in critically ill patients with ARC, hoping to explore the precise and accurate dose adjustment method for vancomycin. Methods All critically ill patients tested for steady-state trough vancomycin serum concentrations during the recent 6 years in a tertiary level hospital were collected retrospectively and divided into ARC and non-ARC groups, respectively, according to creatinine clearance (CLcr). Serum vancomycin concentrations were measured by the fluorescence polarization immunoassay method. PK-PD parameters of vancomycin were recorded or calculated. The desired daily dose successful in achieving the lower target trough levels (10 mg/L) of vancomycin were investigated correspondingly. Results A total of 280 vancomycin concentrations were eligible for analysis. The ARC group (n=139) contained more male patients (64.7%) with average age and CLcr of 40 years old (P<0.05) and 180.8 mL/min (P<0.001), respectively. Those patients exhibited higher clearance (CL) and lower trough serum concentrations than the non-ARC patients under comparable daily doses of vancomycin. All the ICU patients demonstrated lower AUC24h values than the target level of 400 µg·h/mL, and this value showed a lower trend in the ARC group than the non-ARC group (232.9 vs. 316.2 µg·h/mL). Subtherapeutic trough concentrations of vancomycin (<10.0 mg/L) were observed in 77.7% and 68.8% of the ARC and non-ARC patients (P<0.05). The proportion of patients with a trough concentration of 10–15 and 15–20 mg/L was 17.9% and 4.3%, respectively, in the ARC group and 24.8% and 2.8%, respectively, in the non-ARC group. , a daily dose of 46.0 and 35.5 mg/kg of vancomycin is needed, respectively, in the ARC and non-ARC group to achieve a target trough concentration of 10 mg/L. Conclusions A higher dose of vancomycin is needed in critically ill patients, especially those with ARC, and appropriate TDM-guided dose adjustment should be considered to achieve the targeted therapeutic range and to provide dosing guidance for this: patient population.
Decreasing wheat yield stability on the North China Plain: Relative contributions from climate change in mean and variability

There has been increasing interest in understanding climate change impacts on crop yield stability, including interannual yield variability and lower yield extremes, in addition to mean yield. In this study, we evaluated these impacts on wheat yield and investigated the contribution of changes in climate mean and variability, and their interaction, on the North China Plain (NCP). Wheat yield simulation experiments with control groups were conducted using the Crop Environment Resource Synthesis (CERES) model, with multiple general circulation model ensembles under two representative concentration pathways (RCPs), namely 4.5 and 8.5. Climate change was projected to reduce mean yield by 15 and 17%, increase yield interannual variability by 5 and 11%, and reduce 10‐year return period lower yield extremes by 31 and 34% under RCPs 4.5 and 8.5, respectively. When analysed, changes in climate mean proved the main cause for changes in mean yield (62–71%), followed by the interactive changes in climate mean and variability (26–33%). As for the impact on yield variability, the interaction of the changes in climate mean and variability proved the main cause (48–54%), followed by changes in climate mean (33–41%). Surprisingly, climate change in variability contributed the least in both cases. Our results pertaining to the decrease in both availability and stability of wheat yield on the NCP presents a greater challenge for building a resilient food system for local areas than before. They also highlighted the importance of separating the impacts of changes in climate mean and variability on crop yield stability in a holistic framework, with particular attention paid to the tangible and interactive effects.
Leveraging photosynthetic efficiency toward improving crop yields

ABSTRACT Increasing photosynthetic efficiency is important in improving plant productivity. Photosynthetic efficiency is still not exploited to its fullest potential for maximizing carbon capture. The purpose of this review is to discuss the factors that affect photosynthetic efficiency and explore diverse routes to enhance photosynthetic efficiency, which would pave the way for future researches for harnessing yield benefits. In this review, we first discuss general details about photosynthesis, association of photosynthetic pigment to key plant traits, factors involved in regulation of photosynthetic metabolism, strategies for enhancing photosynthetic efficiency, and benefits of increased carbon assimilation through manipulation of photosynthetic efficiency. We then expounded on how optimized photosynthesis can improve crop yield, and enhance efficiency of plant system to cope with abiotic constraints. Finally, we discuss epigenetic regulation of photosynthetic components for yield enhancement, and the way forward.
Tarantula cubensis venom (theranekron®) selectively destroys human cancer cells via activating caspase-3-mediated apoptosis

Background: Tarantula cubensis venom (Theranekron®) is used as a homeopathic medicine which has shown anti-tumor effects in veterinary medicine. The aim of this study was to assess effect of Tarantula cubensis venom on apoptotic cell death of human cancer cell lines. Methods: HEK293, MCF7 and HN5 cell lines were used. The cells were treated with different concentrations of alcoholic extract of Tarantula cubensis (Theranekron®) for different periods of time. Cell morphology was studied by light microscopic observation. Cell proliferation was evaluated by MTT assay and death rate was assessed applying trypan blue staining. Apoptosis was assessed by DNA fragmentation, cleaved caspase-3 protein western blotting and ELISA caspase-3 activity assays. Results: Tarantula cubensis venom ruined cell adhesion, reduced cell proliferation, increased cell death rates and caused DNA fragmentation in human cells. An increased caspase-3 cleavage and hyper-activation of caspase-3 was detected in the cells treated with the venom. Results also showed a significantly higher toxicity and apoptosis levels in cancer cell lines MCF7 and HN5 compared with non-cancerous HEK293 cells. Conclusion: We conclude that Tarantula cubensis venom is selectively toxic for human cancer cells via inducing caspase-3- mediated apoptosis.
Immunity in amyotrophic lateral sclerosis: blurred lines between excessive inflammation and inefficient immune responses

Abstract Despite wide genetic, environmental and clinical heterogeneity in amyotrophic lateral sclerosis, a rapidly fatal neurodegenerative disease targeting motoneurons, neuroinflammation is a common finding. It is marked by local glial activation, T cell infiltration and systemic immune system activation. The immune system has a prominent role in the pathogenesis of various chronic diseases, hence some of them, including some types of cancer, are successfully targeted by immunotherapeutic approaches. However, various anti-inflammatory or immunosuppressive therapies in amyotrophic lateral sclerosis have failed. This prompted increased scrutiny over the immune-mediated processes underlying amyotrophic lateral sclerosis. Perhaps the biggest conundrum is that amyotrophic lateral sclerosis pathogenesis exhibits features of three otherwise distinct immune dysfunctions—excessive inflammation, autoimmunity and inefficient immune responses. Epidemiological and genome-wide association studies show only minimal overlap between amyotrophic lateral sclerosis and autoimmune diseases, so excessive inflammation is usually thought to be secondary to protein aggregation, mitochondrial damage or other stresses. In contrast, several recently characterized amyotrophic lateral sclerosis-linked mutations, including those in TBK1, OPTN, CYLD and C9orf72, could lead to inefficient immune responses and/or damage pile-up, suggesting that an innate immunodeficiency may also be a trigger and/or modifier of this disease. In such cases, non-selective immunosuppression would further restrict neuroprotective immune responses. Here we discuss multiple layers of immune-mediated neuroprotection and neurotoxicity in amyotrophic lateral sclerosis. Particular focus is placed on individual patient mutations that directly or indirectly affect the immune system, and the mechanisms by which these mutations influence disease progression. The topic of immunity in amyotrophic lateral sclerosis is timely and relevant, because it is one of the few common and potentially malleable denominators in this heterogenous disease. Importantly, amyotrophic lateral sclerosis progression has recently been intricately linked to patient T cell and monocyte profiles, as well as polymorphisms in cytokine and chemokine receptors. For this reason, precise patient stratification based on immunophenotyping will be crucial for efficient therapies.