Miracle-dz/UniFAR-FTUs huggingface dataset:
PENINGKATAN PRODUKTIVITAS PERAJIN IKAN TERI DENGAN KONVERSI ENERGI BIOMASSA Productivity Improvement Of Anchovy Crafters With Biomass Energy Conversion

Abstrak : Proses pengeringan ikan teri secara alamiah memerlukan waktu dua hari saat cuaca cerah dan suhu pengeringan tidak optimal yaitu ±33,43 o C. Saat cuaca mendung atau hujan, perajin tidak bisa melakukan proses pengeringan. Proses pengeringan alamiah akan menimbulkan beban kerja tambahan dan rendahnya produktivitas perajin ikan teri. Oleh karena itu diterapkan metode konversi energi biomassa yaitu menggunakan heat exchanger untuk memindahkan udara panas ke dalam ruang pengering dengan sistem konveksi paksa dan udara panas ini dihasilkan dari proses pembakaran biomassa sabut kelapa di dalam tungku. Hasil pengujian yang dilakukan pada 20 sampel, diperoleh bahwa dengan konversi energi biomassa yang diterapkan pada proses pengeringan dapat meningkatkan produktivitas perajin ikan teri sebesar 54,88%. Kata kunci: produktivitas, biomassa, heat exchanger , Abstract : Natural anchovy drying process takes two days when it is sunny and with a non optimal temperature of about 33,43 o C. When it is cloudy and rainy, the fishermen cannot do the drying process. Natural drying process will result in an additional work load as well as low productivity. Therefore, a biomass energy conversion using heat exchanger is used to move heat temperature to drying room with a forced convection. The hot temperature is resulted form burning coconut husk biomass. The results of tests on 20 samples, showed that the biomass energy conversion applied on the drying process can increase 54.88% of fishermen productivity
DMSO_A_255628 2613..2622

Abeer A AlTamimi 1 Nada M Albawardi 2 Mezna A AlMarzooqi 3 Mohanad Aljubairi Hazzaa M Al-Hazzaa 2 1Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia; 2Lifestyle and Health Research Center, Health Sciences Research Center, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia; 3Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia Objective: To examine the associations of overweight or obesity with several lifestyle and socio-demographic factors among Saudi women attending fitness centers in Riyadh. Methods: Saudi females (n = 460) aged 16 years and older were recruited from 12 randomly selected fitness centers in Riyadh, using a stratified clustered sampling technique. Bodyweight and height were measured. Lifestyle behaviors were assessed using a previously validated instrument, and included physical activity, sedentary behaviors, sleep, and dietary habits. Results: Over 62% of the participants were either overweight or obese. Mean BMI values for females younger than age 30 years (26.4 ± 5.3) were significantly lower than those 30 years of age or older (29.2±5.6, p >0.001). There was a significant correlation (r = 0.450, p < 0.001) between BMI levels and the participant’s reason to engage in exercise for weight loss. Females who were overweight/obese are significantly older, married, have more children, have a lower educational degree, earn less income, have higher numbers of obese in the family, and had attempted to lose weight more frequently than non-overweight/non-obese females. No significant differences were detected between females who were overweight/obese and those who were not overweight/obese in the majority of the lifestyle-related variables, except that females who were not overweight or obese showed lower weekly consumption of milk and dairy products (p =0.029) and higher intakes of fast foods per week (p =0.049). Conclusion: Weight loss attempts, age, number of obese in the family, and females’ education level emerged as the most important contributory factors to obesity status, explaining nearly 23% of the common variances. A better understanding of the relationships between obesity and lifestyle behaviors is necessary for effective prevention and management of obesity in Saudi females.
DMSO_A_249949 3861..3872

1Internal Medicine Department, Kasr Alainy Hospital, Faculty of Medicine, Cairo University, Cairo, Egypt; 2Internal Medicine, Ministry of Health, Cairo, Egypt Background: Gut-microbiota alterations and bacterial translocation might attribute to hepatic inflammation. Lipopolysaccharide stimulates toll-like receptor 4 leading to the activation of Kupffer cells which express the surface receptor, CD 163. Objective: To assess the levels of CD 163 and LPS in overweight and obese patients with different degrees of NAFLD as confirmed by liver biopsy (NAS score). Methods: This is an observational case–control study. Sixty overweight and obese patients with NAFLD and 40 healthy controls were enrolled in the study. Liver biopsy was obtained from all participants with NAFLD. LPS and CD 163 levels were assessed using ELISA. Results: The mean LPS and CD163 levels were significantly higher in patients with NAFLD when compared with healthy controls (p-value <0.001, p-value <0.001, respectively). LPS and CD163 levels were the lowest in Non-NASH (13.17 ± 3.34, 5.61 ± 2.35 ng/mL, respectively) and the highest in NASH (58.61 3± 3.81, 18.11 ± 6.84, respectively) (p-value <0.001, p-value <0.001, respectively). Statistically significant correlation was found between the levels of LPS and CD163 and NAS score (p-value <0.001, p-value < 0.001, respectively), steatosis grade (p-value <0.001, p-value <0.001, respectively), degree of inflammation (pvalue 0.017, p-value <0.001, respectively) and ballooning (r= 0.663, p-value <0.001, r= 0.558, p-value <0.001, respectively). In ROC analysis, both sCD163 and LPS had high sensitivity and specificity in diagnosing NAFLD. CD163 and LPS had the high sensitivity and accuracy in discriminating NASH from Non-NASH (p-value <0.0001 in both). Moreover, the mean serum levels of LPS and sCD163 correlated positively and significantly with the BMI (r=0.329, p value<0.01; r=0.477. p value <0.001, respectively). Conclusion: sCD163 and LPS can be used as non-invasive tools for diagnosis and grading of NAFLD severity in overweight and obese patients, thus confirming the role of dysbiosis in fat deposition and inflammation and suggesting the potential benefits of gut-microbiotatargeted therapies in restoring the gut homeostasis.
Improved vision-based weed classification for robotic weeding – a method for increasing speed while retaining accuracy

In this paper, we demonstrate how a deep convolutional neural network (DCNN) can be deployed in resource limited environments, such as robots, to reduce the inference time by more than an order of magnitude while retaining high classification accuracy and robustness to novel conditions. This is achieved by training a lightweight DCNN, or compressed model, via model distillation . We show that training models using this approach outperform training a similar model from scratch, using the same data, for weed classification. Using model distillation we are able to improve the accuracy from 97.1% to 97.9% for similar conditions (as the training data) and from 86.4% to 89.8% for different conditions (as the training data). This is in comparison to a traditional approach using robust local binary pattern features which achieves 87.7% for classifying in similar conditions and 83.9% for classifying in different conditions. Finally, we compare this compressed model to a complex fine-tuned model which achieves higher accuracy of 99.6% for the same condition and 95.8% for different conditions but has 100.0 times more parameters (larger model size) and is 40.6 times slower at computing the inference.
Pilot ex vivo study of laser induced breakdown spectroscopy for hard and soft tissue differentiation as a feedback system for tissue-specific laser surgery

Smart surgical tools are devices that can help surgeons reduce possible medical errors and reducing medical errors are quite important [1]. Some of these lethal medical errors can occur during surgery; therefore, developing smart surgical tools that prevent medical errors is necessary. A laserosteotome would be one such smart surgical system that can help surgeons in cutting hard and soft tissues in a safe and efficient manner. This study is part of Minimally Invasive Robot-Assisted Computer-guided LaserosteotomE (MIRACLE) project which is devoted to the development of an integrated miniaturized system able to perform minimally invasive osteotomies (bone cuts) that are less stressful for the patients. In comparison with mechanical tools, it is proven that laser osteotomy has some significant advantages such as noncontact interaction, free-cut geometry, better healing, minimal invasiveness and higher accuracy [2, 3]. In doing so, it is hoped to reduce the length of stay in the hospital and to reduce the time spent in rehabilitation. The main purpose of this study is to develop an optical based sensor that provides feedback during laser surgery. This feedback mechanism will help the surgeon to specifically determine the tissue that being cut and stop the laser when the all desired tissues have been removed. In this way, it will provide high specificity in laser cutting which can prevent cutting important and critical tissues.
Organizational trust and organizational silence: the factors Predicting organizational commitment.

This study examines the impact of organizational trust on organizational commitment through organizational silence and job satisfaction among academics in Indonesia. A total of 309 respondents from private sector higher education institutions participated in this research. The result from partial least square-structural equation modeling analysis reveal that organizational trust has a negative effect on organizational silence, and organizational silence has a negative effect on job satisfaction and organizational commitment. In other words, individuals with low trust tend to do silence at the organization, not satisfied with the job and low commitment. In addition, the result also suggests the effect of organizational trust on organizational commitment is indirectly influenced by organizational silence and job satisfaction.
Association Of Oral Lichen Planus And Thyroid Disease - A Case Control Study

:Introduction: Lichen planus, is a chronic autoimmune, mucocutaneous disease affecting the oral mucosa besides the skin, genital mucosa, scalp and nails.The exact etiology of oral lichen planus is unknown. The disease most commonly affects middle-aged females. Oral lichen planus usually presents as white striations (Wickham's striae), white papules, white plaque, atrophic , ulcerative, erosive or as blisters. There is a well established correlation between oral lichen planus and liver disease. Opinion amongst researchers vary on terminology of lichen planus and lichenoid drug reaction . Recent literature reported association between lichen planus and thyroid disease. Aim: The main aim of this study is to evaluate the association between oral lichen planus and thyroid disease and its prevalence amongst patients visiting our dental institute. Materials and methods: . the Excel sheet and was analysed using SPSS analysis. Results: Results showed a positive association between oral lichen planus and thyroid disease, mainly hypothyroidism (7.46%). Females were more affected than males (53.7%). The erosive variant of oral lichen planus was more prevalent among the study population (44.7%). There was a positive correlation between predominant clinical variety of Lichen planus and site involved. The positive correlation between hypothroid state and lichen planus is also reported. Conclusion: In conclusion, our study establishes an association between oral lichen planus and a coexisting thyroid disorder mainly hypothyroidism .
Rational bailey ratios and dominant aggregate size range porosity correlated with rutting and mixture strength parameters

A study done on the correlation of the Bailey method and the Dominant Aggregate Size Range (DASR) method managed to describe and develop new Bailey ratios that better describe the aggregate skeleton packing efficiency. DASR porosity was found to be linked to permeability as well. The aggregate skeleton is ‘deconstructed’ at macro, midi and micro level aggregate subset skeletons to evaluate the contributions of various aggregate fraction ranges. Bailey ratios were brought in line with the concept of nominator and denominator aggregate fractions that suit the DASR concept of contiguous fraction ranges and were described as the rational Bailey ratios. A data set which was based on Bailey method mix design was reworked to include the DASR porosities and the new correlated and rational Bailey ratios. This enabled the Bailey ratios and the DASR porosities to be related to rutting measured with Hamburg Wheel Tracking (HWT) tests. Other structural design parameters such as the Indirect Tensile Strength (ITS), Effective Film Thickness (EFT) of the binder mastic of these mixes were also correlated with various Bailey ratios and DASR fraction porosity ranges. The main purpose of this study was to confirm the viability of these new rational and correlated Bailey ratios and DASR porosities with rutting potential for further future detailed modelling via stepwise multiple regression analyses or via Neural Network Analysis (NNA) and modelling.
Abundant presence of the c -like Proteobacterial pufM gene in oxic seawater

Known anoxygenic photosynthetic bacteria (APB) afﬁliated to Gammaproteobacteria usually use anaerobic metabolism and are restricted to oxygen-free habitats. Here, we report abundant (average of 34.5%) presence of diverse APB related to g like Proteobacteria in oxic oceanic surface water as indicated by the pufM gene, that encodes the M subunit of the light reaction centre complex. Thus, our sequences were most likely derived from aerobic anoxygenic phototrophs (AAnP). Two genetically distinct genotypes were revealed: one was from the oligotrophic North Paciﬁc Ocean Gyre and the other, was from the trophic East China Sea and Bering Sea. The discovery of abundant presence of novel g -like Proteobacterial pufM gene in the oxic seawater extends the functional ecotypes of AAnP.
Monte Carlo Computation of the Influence of Carbon Contamination Layer on the Energy Distribution of Backscattered Electrons Emerging from Al and Au

: The influence of carbon contamination layer (5nm) on the energy distribution of backscattered electrons (BSEs) emerging from the top of Al- and Au-substrates at a wide range of normal primary electron energies (E P = 0.5-20keV) has been theoretically examined. The study is based on using a CASINO Monte Carlo model. Generally, the results show a clear effect of the contamination on the backscattering coefficient and the energy distribution of backscattered electrons. This appeared as a reduction of the number of BSE emerging from the surface with energies close to the primary energy. For primary energy less than 5keV, the contamination effects are clearly seen in the reduction of the number of BSEs emerging with energy close to E P and the increment of the number of BSEs with low energies. The backscattered electron spectrum starts with a wide peak at low energies and becomes sharper as the primary energy increases. For high primary electron energies (10-20keV), the influence of the carbon contamination layer is restricted on the energy distribution of the backscattered electrons with energies above 95% of the primary energy. The influence of the carbon contamination layer was observed more clearly for the Au-substrate than for the Al-substrate as a reduction of the number of backscattered electrons.
Treatment of Anogenital Warts: Siriraj Hospital Experience

Objectives: To demonstrate the characteristics, treatment modalities and outcomes in the women presenting with Anogenital Warts (AGW) at Female STI Clinic, Siriraj Hospital. Materials and Methods: The outcomes of treatment in the patients presenting with AGW who had complete follow-up at Siriraj Female STI clinic in 2016 were reviewed. The patients with immunocompromised conditions such as systemic lupus erythematosus and human immunodeficiency virus infection were excluded from this study. Results: Two hundred and four of 217 women with AGW were eligible for this study. The mean age was 24.6 ± 5.2 years. Most of them were married and had sexual monogamy. Education levels were similar. Most of the AGWs were located outside the vagina and with ≤ 5 lesions (range 1-20). The diameter of warts was between 1 and 5 cm. The treatment modalities were 85% trichloroacetic acid (TCA) 131 (64.3%), 5% imiquimod 57 (27.9%), cryotherapy 8 (3.9%) and surgery 8 (3.9%). The median periods of treatment were 4, 8, 5 and 1 weeks for 85% TCA, 5% Imiquimod, Cryotherapy and Surgery, respectively. Treatment modalities were changed in the groups of 85% TCA and 5% Imiquimod, for 16.0% and 1.8%, respectively. Recurrence at 3 months after being cured was highest in the groups of 85% TCA (13.0%). Conclusion: Our results showed that 85% TCA, which is widely available, need four applications with 13% recurrence rate. Imiquimod took longer time for treatment but was associated with less recurrent. Cryotherapy and Surgery showed promising results but the data were limit.
(2006) ‘ The innovation competence of repeat public sector clients in the Australian construction industry’, Construction Management and Economics, Vol 24, No12, pp1295-1304 The innovation competence of repeat public sector clients in the Australian construction industry

The role of client leadership in improving construction industry performance by increasing the rate and quality of innovation activity has been receiving increasing attention globally over the past decade. There has however been less attention given to the capability of clients to effectively perform this role. The literature suggests that the internal innovation competency of clients impacts their potential to encourage innovation throughout the industry. Based on data collected via a large-scale survey of the Australian construction industry, the innovation competence of repeat public sector clients is examined using descriptive statistics. The results show that the clients have a relatively high level of innovation competence, compared to contractors, consultants and suppliers. The role of innovation competence is important. If public sector client agencies wish to protect and promote the role they play in encouraging industry innovation, they need to nurture their internal innovation competence.
AUTOMATION OF EXPERIMENTAL RESEARCH MULTIPURPOSE MEASUREMENT MODELS FOR ADJUSTMENT BY THE LEAST-SQUARES METHOD

The development of multipurpose measurement models is the precondition for software development for simultaneous adjustment of the large scope and complicated combinations of the measurement results by the least-squares method. Multipurpose measurement models for software can be a helpful tool for processing the final measurement results provided by different measurement methods applying the mentioned software; processing the measurement results of measurement standards comparisons, interlaboratory comparison, and calibration procedures; estimating the additive and multiplicative systematic components of measurement errors and their uncertainty; processing complicated combinations by binding or linking up of the interlaboratory comparison and calibration results in the time; simultaneous processing of the measurement results obtained by various methods e.g. by the method of direct measurements and comparisons; fast-changing the multipurpose measurement models from linear to non-linear type. Processing of the results by software based on the multipurpose measurement model algorithm can help to established a comprehensive measurement traceability network by pooling the single traceability chains.
Experimental Evaluation of Pinned Frame Equipped with Ribbed Bracing System

ABSTRACT This study presents the experimental investigation of half-scale, one-story, one-bay pinned frames equipped with a ribbed bracing system (RBS). The RBS is a newly developed passive control system designed to eliminate buckling and enhance the seismic behavior of structures. Here, mechanical models of this bracing system were designed and constructed. Pinned frames equipped with the RBS were cyclically tested. The hysteretic behavior and energy absorbing capacities of the frames were evaluated. Based on the results, the full plastic capacity of the brace was achieved and no buckling occurred. The RBS frame illustrated proper hysteretic behavior and energy dissipation capacity up to 4% story drift.
Prediction Skill of North Pacific Variability in NCEP Climate Forecast System Version 2: Impact of ENSO and Beyond

This work examines the impact of El Ni~ no–Southern Oscillation (ENSO) on the prediction skill of North Pacific variability (NPV) in retrospective predictions of the NCEP Climate Forecast System, version 2. It is noted that the phase relationship between ENSO and NPV at initial conditions (ICs) affects the prediction skill of NPV. For average lead times of 0–6 months, the prediction skills of sea surface temperature anomalies (SSTAs) in NPV (defined as the NPV index) increase from 0.42 to 0.63 from the cases of an out-of-phase relation between the Ni~ no-3.4 and NPV indices in ICs to the cases of an in-phase relation. It is suggested that when ENSO and NPV are in phase in ICs, ENSO plays a constructive role in the NPV development and enhances its signals. Nevertheless, when ENSO and NPV are out of phase, some pronounced positive NPV events are still predictable. In these cases, theNorth Pacific is dominated by strong positive SSTAs, whichmay overcome the opposing influence from the tropical Pacific and display predictability.
FORMULATION AND IN-VITRO EVALUATION OF ORAL SUSTAINED RELEASE DRUG DELIVERY SYSTEM FOR LAMIVUDINE MATRIX TABLETS USING METHOCEL K15M CR POLYMER

PURPOSE: The present work reports the study of different proportion of Lamivudine: Methocel K15M formulations, inorder to investigation the effect of polymer proportion and diluent on the drug release mechanism. Lamivudine, an anti-HIV agent, was used as a model drug to evaluate its release characteristics from different matrices. METHOD: Matrix tablets of Lamivudine were prepared by direct compression process using methocel K15M CR polymer. In vitro release studies were performed using US Pharmacopeia type 1 apparatus (basket method) in 900 mL of pH 6.8 phosphate buffer at 100 rpm for 8 hours (Initial 2 hours in simulated gastric fluid (pH 1.2)). Scanning Electron Microscopy (SEM) was used to evaluate and surface properties of the matrices. Drug release was analyzed according to their kinetic models. A one-way analysis of variance (ANOVA) was used to interpret the results. RESULTS: Statistically significant differences were found among the drug release profile from different formulations. Higher proportion of polymeric content (25 to 30% of the total tablet weight) in the matrix, release was extended > 8 hours due to increased tortuosity and decreased porosity. At lower proportion of polymeric content (10% of the total tablet weight), the rate of drug release was elevated. Two formulations showed drug release is more controlled. The release mechanism was explored and explained with zero order, first order, Higuchi and Korsmeyer and Hixon-Crowell equations. CONCLUSION: The results generated in this study showed that the profile and kinetics of drug release were functions of polymer type, polymer level and physico-chemical properties of the drug. By suitable modulation could be developed controlled delivery of such type of drug.