Lozenge Formulation of Gambier (Uncaria Gambir (Hunter) Roxb.) Extract with Various Concentration of Gummi Acaciae

Gambier is one of the medicinal plants commonly used for chewing, which has benefits for oral health and dental. Gambier has a property as a remedy lozenges, stomachache, toothache, and can be used to prevent the formation of dental plaque. This research aims to create a dosage of dried extract in the form of lozenges. In these lozenges we used variations gummi acaciae to obtain a binder concentration that can produce tablets that meet the requirements. Gambier extract was obtained by remaceration, with 80% ethanol. Tablets formulated with a binder concentration gom arabic 10%, 17.5% and 25% using direct compression method. The results showed that the concentration variation can minimize the variation of the gummi acaciae weight uniformity, increased hardness, lower % fragility, and increase the time dissolved lozenges. All of tablets have good physical tablets properties. The third formula is the most acceptable by the respondents in terms of color, taste, and time of dissolution

Preferensi Petani Terhadap Sistem Tanam Padi Jajar Legowo (Studi Kasus Di Desa Tambakrejo Kecamatan Patebon Kabupaten Kendal)

Paddy is the main food source for most of the population of Indonesia. The paddy crop harvested area in Patebon District in 2011 reached 2.334,47 Ha with a production of 15.603,97 tons. In Tambakrejo Village, the paddy crop harvested area in 2011 reached 132,50 Ha with a production of 861,25 tons. The purpose of this study was to determine the farmer preferences of jajar legowo paddy cropping system. The research used the descriptive method and the research location was selected by purposive method. The research location was Tambakrejo Village because farmer in thats village generally used jajar legowo cropping system. The farmer samplings were determined randomly, which was in a number of 90 respondents. The research used the tabulation analysis method and chi-square analysis. The result of this study showed that most farmers apply jajar legowo paddy cropping system with a percentage 63%, it's mean that jajar legowo paddy cropping system have a high preferences in Tambakrejo Village. Farmer selected jajar legowo paddy cropping system because this system can facilitate the proses of fertilization, weeding and pest control, but it's not profitable economically. This is because farmers in Tambakrejo Village do not implement the rule of recommended planting system so the production is not optimal and do not give enhancement in profits. Characteristics land area, motivation, age and education level have a significant relationship with the farmer preferences of jajar legowo paddy cropping system

Identifikasi Tiga Isolat Cendawan Penghasil Gaharu Dari Nusa Tenggara Barat Dengan Menggunakan Primer Its Dan Tef 1-α

Several isolates of agarwood-forming fungus in Gyrinops versteegii have been isolated from the result of exploration in Lombok and Sumbawa Islands. This study aimed to identify the three fungus associated with the agarwood formation in G. versteegii originated from Lombok Tengah, Alas, and Lombok Barat, Nusa Tenggara Barat. The three fungus cultured in liquid medium PDB (Potato Dextrose Broth) and incubated for 1 month in shaken culture. The mycelium of each fungus was harvested for DNA isolation. Amplification is done by Polymerase Chain Reaction (PCR) using the Primers ITS and TEF with obtained amplicon having base length ranging of 300-600 bs. BLAST analysis showed that the three fungus have similarity with Fusarium solani. These results were confirmed by phylogenetic tree where all fungus has genetic relationship with F. solani

Framing Twitter Public Sentiment on Nigerian Government COVID-19 Palliatives Distribution Using Machine Learning

Sustainable development plays a vital role in information and communication technology. In times of pandemics such as COVID-19, vulnerable people need help to survive. This help includes the distribution of relief packages and materials by the government with the primary objective of lessening the economic and psychological effects on the citizens affected by disasters such as the COVID-19 pandemic. However, there has not been an efficient way to monitor public funds’ accountability and transparency, especially in developing countries such as Nigeria. The understanding of public emotions by the government on distributed palliatives is important as it would indicate the reach and impact of the distribution exercise. Although several studies on English emotion classification have been conducted, these studies are not portable to a wider inclusive Nigerian case. This is because Informal Nigerian English (Pidgin), which Nigerians widely speak, has quite a different vocabulary from Standard English, thus limiting the applicability of the emotion classification of Standard English machine learning models. An Informal Nigerian English (Pidgin English) emotions dataset is constructed, pre-processed, and annotated. The dataset is then used to classify five emotion classes (anger, sadness, joy, fear, and disgust) on the COVID-19 palliatives and relief aid distribution in Nigeria using standard machine learning (ML) algorithms. Six ML algorithms are used in this study, and a comparative analysis of their performance is conducted. The algorithms are Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (KNN), and Decision Tree (DT). The conducted experiments reveal that Support Vector Machine outperforms the remaining classifiers with the highest accuracy of 88%. The “disgust” emotion class surpassed other emotion classes, i.e., sadness, joy, fear, and anger, with the highest number of counts from the classification conducted on the constructed dataset. Additionally, the conducted correlation analysis shows a significant relationship between the emotion classes of “Joy” and “Fear”, which implies that the public is excited about the palliatives’ distribution but afraid of inequality and transparency in the distribution process due to reasons such as corruption. Conclusively, the results from this experiment clearly show that the public emotions on COVID-19 support and relief aid packages’ distribution in Nigeria were not satisfactory, considering that the negative emotions from the public outnumbered the public happiness

The solute carrier SLC7A8 is a marker of favourable prognosis in ER-positive low proliferative invasive breast cancer

Purpose: Breast cancer (BC) is a heterogeneous disease consisting of various subtypes, withdifferent prognostic and therapeutic outcomes. The amino acid transporter, SLC7A8, is over expressed in estrogen receptor positive BC. However the consequences of this overexpression, it terms of disease prognosis, is still obscure. This study aimed to evaluate the biological and prognostic value of SLC7A8 in BC with emphasis on the intrinsic molecular subtypes.Methods: SLC7A8 was assessed at the genomic, using METABRIC data (n=1,980), and proteomic, using immunohistochemistry and TMA (n=1,562), levels in well-characterised primary BC cohorts. SLC7A8 expression was examined with clinicopathological parameters, molecular subtypes, and patient outcome.Results: SLC7A8 mRNA and SLC7A8 protein expression were strongly associated with good prognostic features, including small tumour size, low tumour grade and good Nottingham Prognostic Index (NPI) (all

AmnioQuick® Duo+ for diagnosis of premature fetal membranes rupture

Background: Failure to identify women with premature fetal membranes rupture associated with infectious morbidities. Evaluation of the accuracy of AmnioQuick® Duo+ in diagnosing premature fetal membranes rupture compared to conventional diagnostic tests was the aim of this study.Methods: 220 pregnant women ≥37 and <39 weeks` gestation studied and classified into two groups; study group (premature fetal membranes rupture) and control group (no premature fetal membranes rupture). Participants examined by trans-abdominal ultrasound (TAS) and vaginal speculum to visualize amnion leaking and for collection of samples for fern, nitrazine and AmnioQuick® Duo+ tests on admission. A final diagnosis whether the studied women had PROM or not at the initial presentation made after delivery.Results: Sensitivity and specificity of the AmnioQuick® Duo+ to diagnose PROM was 93.6% and 86.4%; respectively compared with 72.7% and 80.9%; respectively for fern test and 76.4% and 83.6%; respectively for nitrazine test. Positive predictive value, negative predictive value and accuracy of AmnioQuick® Duo+ to detect PROM were 87.3%, 93.1% and 90%; respectively compared with 79.2%, 74.8% and 76.8%; respectively for fern test and 82.4%, 77.97% and 80%; respectively for nitrazine test. AmnioQuick® Duo+ test had higher accuracy to detect premature fetal membranes rupture compared to conventional diagnostic tests.Conclusions: AmnioQuick® Duo+ is accurate bedside immunoassay test, better than the individual conventional diagnostic tests and can used as complementary test to improve the management of women with women premature fetal membranes rupture

PPFIA1 expression associates with poor response to endocrine treatment in luminal breast cancer

BackgroundPPFIA1 is an important regulator of cell migration and invasion, regulating focal adhesion signalling and disassembly. PPFIA1 is frequently amplified in breast cancer, and recent functional studies indicate that PPFIA1 is an important promoter of migration and invasion in breast cancer. This study aims to evaluate the utility of PPFIA1 expression in the luminal breast cancer as a prognostic marker to predict the response to endocrine therapy.MethodsLarge, well-characterised cohorts of primary luminal breast cancer patients with long-term follow-up was assessed for the clinical impact of PPFIA1 expression at the transcriptomic and proteomic levels. Prognostic significance of PPFIA1 and its relationship with clinical outcome and benefit of endocrine therapy were analysed. In addition, its association with other related-genes was analysed.ResultsThere was significant association between PPFIA1 expression and a member of the liprin family that involves in cell invasion (PPFIBPI), and the cell cycle regulator (CCND1), whereas a negative association was observed with the tumour suppressor gene (CD82). Patients with high PPFIA1 expression were associated with high risk of recurrence, distant metastasis and death from breast cancer (P< 0.05). Importantly, high PPFIA1 expression predicted relapse in a subset of patients who were subject to endocrine treatment alone, and was an independent prognostic marker of unfavourable outcome in these patients (P< 0.05).ConclusionsThese findings support the proposed role for PPFIA1 as a regulator of cell migration in breast cancer and provides definitive evidence for the clinical utility of PPFIA1 expression in patients with luminal breast cancer. Most importantly, our data suggests that PPFIA1 might be a potential predictive marker for poor benefit from endocrine therapy