Miracle-dz/UniFAR-FTUs huggingface dataset:
Deriving scalable measures for restoration of communal grazing lands

Participatory action research in communal grazing lands can inform end users on cost-effective methods for restoring land to improve local livelihoods and environmental quality in terms of reduced degradation and enhanced ecosystem services. A multistakeholder process involving producers, development practitioners, and researchers is demonstrated for conducting action research to restore degraded communal grazing lands in East Africa. Producer-managed trials provided actionable evidence on brief resting durations and reseeding in pastoral rangelands in Kenya, and on improved forages and weeding in grazing exclosures in the Ethiopian highlands. The usefulness of this evidence is demonstrated through quantitative data and stated or revealed preferences of livestock producers. Local land management institutions and government and civil society practitioners confirmed the utility of the results to land management practice and policy, while spontaneous local up-scaling of improved forages in exclosures affirmed their scalability. These results are attributable to elements of the action research process, including prioritization of practical producer needs, close involvement of local institutions able to take action, collaborative design of producer-managed trials, and generation of evidence applicable in scaling. Among the restoration options tested, those more successful in trials and preferred by producers tended to have moderate (or low) costs, complexity, time to returns, and risk, suggesting possible optimization of trade-offs among options, such as between the potential performance of an option and its risk. Robust options that balance consistency with effectiveness may be good candidates for scaling. In communal grazing lands facing varied constraints to restoration, using research methodology responsive to institutional stakeholders at and above local level is an effective strategy for deriving scalable restoration approaches for win-win gains in livelihoods and the environment.
TELKOMNIKA Telecommunication Computing Electronics and Control

Received Jan 23, 2021 Revised Dec 19, 2021 Accepted Dec 27, 2021 In this study, a test will be conducted to find out how the results of experiments on the network and layer used on the convolutional neural network algorithm. The performance and accuracy of the retrieval process method that was tested using the algorithm approach to do an object image retrieval. The expected results of this study are the techniques offered can provide relatively better results compared to previous studies. The results of the classification of object images with different levels of confusion on the Caltech 101 database resulted an average accuracy value. From the experiments conducted in the study, content based image retrieval work (CBIR) work using convolutional neural network (CNN) algorithm in terms of execution time, loss testing and accuracy testing. From several experiments on layers and networks shows that, the more hidden layers used, then the result is better. The graph of validation loss decreases at fewer epochs, slightly fluctuating at more epochs. Likewise, validation accuracy increases insignificantly on epochs with small amounts, but tends to be stable on more epochs.
Light-Mediated Biological Activities of Natural Products from Plants and Fungi

Natural products from both plants and fungi exhibit light-mediated or photodynamic biological activity against viruses, microorganisms, cells and insects. We review new aspects of the photochemistry and photobiology of natural products, including their potential as therapeutic agents, with a focus on publications from 1991 to 1996. The effect of ultraviolet and visible light on the biological activity of polyynes (including their sulfur-derivatives), quinones, alkaloids, furocoumarins, furochromones, porphyrins and some miscellaneous compound classes is summarized. Significant advances in this field have been made in the photochemistry of the 1,2-dithiin polyynes (thiarubrines), the visible light-mediated antiviral activity and protein kinase C inhibition of the perylenequinone pigments (hypericin, hypocrellins) and the phototoxicity of plant-derived porphyrins (pheophorbides).
Prediction of academic self-handicapping based on self-control among university students

The study examined the predictive ability of self-control of academic self-handicapping among university students. The sample of the study consists of (130) students from a public university, selected randomly. To achieve the study objectives, a survey was employed to collect data. It included a self-control scale and an academic self-handicapping scale. The mean, standard deviation, t-test and multiple analysis regression were used to analyze the data. The results of the study revealed that academic self-handicapping and self-control levels among BAU students were moderate. There were no statistically significant differences in academic self-handicapping level due to gender, while there were differences in self-control level due to gender in favor of females. The results also revealed that self-control is a significant predictor of academic self-handicapping. The study recommended improving self-control especially among male students as it affects their low-level of self-handicapping. Keywords: Academic self-handicapping; Jordanian universities; Self-control; Self-control among university students.
Application of Logistic model in settlement prediction during complete process of embankment construction

A large number of settlement observation data are analyzed and the laws of the development of settlement-time curve measured are studied.The settlement-time curve show the occurrence,development,stability,and then the limit of a certain form and that the form accords with the basic form of the growth curve.The entire process of settlement prediction model is established and the meaning of the parameters is analyzed.The influence of various parameters at different settlement stages and the application scope and its guiding significance in practice are analyzed.The evaluation of the model is ideal and the predicted results of several project examples show that the present model is scientific and applicable.
An MLP Network Based on Residual Learning for Rice Hyperspectral Data Classification

In order to classify several kinds of rice (including the rice grown by plasma seed treatment), the datasets of the hyperspectral images (HSIs) of rice were constructed. Multilayer perceptron (MLP) has a good classification performance on rice HSIs because it removes translation invariance and local connectivity. Residual learning can improve the feature extraction ability of MLP network because of retaining the original information, preventing the model from degenerating, and facilitating the rapid convergence of the model. Therefore, a rice hyperspectral image classification model based on MLP network and residual learning is proposed. The results show that the proposed model has a higher classification accuracy (98.48%) than the other common classification models. In addition, the model has been verified on two public datasets with the accuracy higher than 99.95%.
CEMENTING SLURRY DESIGN FOR HT/HP AND HIGH H_2S CONTENT GAS WELLS

HT/HP and high H2S content gas wells,similar with one in eastern Sichuan Basin,are featured by narrow pressure window,coexistence of high and low pressure,gas/water in same layer and developed fractures.So it's difficult to design cementing slurry.During cementing some problems such as lost circulation and blowout,in-layer and interlayer crossflow,lower cement top may happen usually,resulting in channeling,micro-gap,and crossflow path in later cementing.Moreover,cement stone and casing are corroded by HT/HP and high H2S content.It can bring negative effects on the integrity of cement sheath,drilling development and stimulation.Aiming at problems of cementing slurry designed for such kind of gas wells,this study designs the property of cement,solid chemical,fluid and compound monitoring,rechecking experiment etc.,including balanced-pressure design,chemicals selection,and organization coordination.Some design experiences from one well have been summarized.It can provide guidance for new design.
The equatorial Pacific cold tongue bias in CESM1 and its influence on ENSO forecasts

The mean-state bias and the associated forecast errors of the El Niño-Southern Oscillation (ENSO) are investigated in a suite of two-year lead retrospective forecasts conducted with the Community Earth System Model, version 1 for 1954-2015. The equatorial Pacific cold tongue in the forecasts is too strong and extends excessively westward due to a combination of the model’s inherent climatological bias, initialization imbalance, and errors in initial ocean data. The forecasts show a stronger cold tongue bias in the first year than that inherent to the model due to the imbalance between initial subsurface oceanic states and model dynamics. The cold tongue bias affects not only the pattern and amplitude but also the duration of ENSO in the forecasts by altering ocean-atmosphere feedbacks. The predicted sea surface temperature anomalies related to ENSO extend to the far western equatorial Pacific during boreal summer when the cold tongue bias is strong, and the predicted ENSO anomalies are too weak in the central-eastern equatorial Pacific. The forecast errors of pattern and amplitude subsequently lead to errors in ENSO phase transition by affecting the amplitude of the negative thermocline feedback in the equatorial Pacific and tropical interbasin adjustments during the mature phase of ENSO. These ENSO forecast errors further degrade the predictions of wintertime atmospheric teleconnections, land surface air temperature, and rainfall anomalies over the Northern Hemisphere. These mean-state and ENSO forecast biases are more pronounced in forecasts initialized in boreal spring-summer than other seasons due to the seasonal intensification of the Bjerknes feedback.
Point Prevalence Survey of Antibiotic Use across 13 Hospitals in Uganda

Standardized monitoring of antibiotic use underpins the effective implementation of antimicrobial stewardship interventions in combatting antimicrobial resistance (AMR). To date, few studies have assessed antibiotic use in hospitals in Uganda to identify gaps that require intervention. This study applied the World Health Organization’s standardized point prevalence survey methodology to assess antibiotic use in 13 public and private not-for-profit hospitals across the country. Data for 1077 patients and 1387 prescriptions were collected between December 2020 and April 2021 and analyzed to understand the characteristics of antibiotic use and the prevalence of the types of antibiotics to assess compliance with Uganda Clinical Guidelines; and classify antibiotics according to the WHO Access, Watch, and Reserve classification. This study found that 74% of patients were on one or more antibiotics. Compliance with Uganda Clinical Guidelines was low (30%); Watch-classified antibiotics were used to a high degree (44% of prescriptions), mainly driven by the wide use of ceftriaxone, which was the most frequently used antibiotic (37% of prescriptions). The results of this study identify key areas for the improvement of antimicrobial stewardship in Uganda and are important benchmarks for future evaluations.
Osteomyelitis Presenting as Swollen Elbow in A Child: A Case Report

Background: Pediatric osteomyelitis is a severe disease that requires early diagnosis and prompt treatment to minimize the potential risk of developing severe complications, including septic arthritis. Identifying clinical features and applying relevant diagnostic tools are necessary to yield an early diagnosis. Osteomyelitis may show various clinical presentations depending on the etiology, especially in children, making the diagnosis difficult. Therefore, a thorough clinical history, detailed physical examination, and a high index of suspicion are imperative to early diagnose this condition. One should be aware of the evolving epidemiology, emergence of antibiotic-resistant strains, and requirement of specialized targeted therapy to tackle the disease. Case presentation: Here, we present a case of an eight-year-old male patient with an extra-articular abscess around his left-elbow osteomyelitis, which was clinically confused with septic arthritis. The causative organism was methicillinresistant Staphylococcus aureus (MRSA), which was resistant to most of the antibiotics but sensitive to linezolid. Given that pediatric osteomyelitis has a higher chance of articular extension, prompt treatment is essential to avoid permanent damage to the joint. Conclusion: In conclusion, considering the rarity of MRSA-induced intra-articular osteomyelitis, a high index of suspicion is needed to diagnose it as soon as possible clinically and radiologically. This disease should be considered as a differential diagnosis in patients with painful joint swelling.
‘I worry about getting it wrong and looking like a silly billy’: does explicit classroom-based strategy intervention change pupils’ attitudes towards speaking in the modern foreign languages classroom?

ABSTRACT A number of factors among schoolchildren in England are currently contributing to poor attitudes towards speaking in the modern foreign languages (MFL) classroom. Although multiple explicit strategy-based instruction (SBI) intervention studies have appeared in recent years, very few studies have focused on its effect on oral skills and, in particular, pupils' attitudes towards speaking in the target language (TL). From the small pool of SBI investigations into schoolchildren whose first language (L1) is English, there is some evidence of success among boys in particular. The present quasi-experimental, two-cycle action research and development study of beginner (Year 7) and intermediate (Year 10) learners of L2 French (N = 148) investigated the impact of 12 hours of strategy intervention training on attitudes towards TL speaking skills in the MFL classroom in an all-boys selective secondary school in England. To assess the impact of the intervention, a mixed-methods approach was adopted; data were captured via questionnaires, lesson observations and interviews. In Cycle 2, pupils navigated the ‘Strategy Island Map', an innovative tool to track their strategy use when speaking in the TL. Results suggest that explicit SBI improved attitudes towards speaking among both age groups. Implications for practice and suggestions for future research are discussed.
Possibility of Sugar Beet Production in Toshka Region. II- Effect of Water Stress on Some Sugar Beet Varieties

In Egypt, the yearly national production of sugar, 2.28 million tons, fails to cover the consumption amounted to3.25 million tons (S. C. C., 2020). As an attempt to minimize this gap, it was necessary to expand the area planted with sugar beet in the newly reclaimed lands. This work was conducted to evaluate the performance of three beet varieties under water stress to find out the best variety and its proper water requirement to get the maximum root and sugar yields per unit area in Toshka zone. Maximizing sugar production is a national target through expansion in sugar beet cultivation in the newly reclaimed soils, the specific problems of newly reclaimed soils management in particular their low water holding capacity require using an efficient irrigation system such as controlled irrigation. This technique makes it possible to relate, under water shortage condsitions, the drought stress undergone by the sugar beet plants to possible decreases in the yield or quality. The performance of beet plants under controlled irrigation with respect to yield and its components was studied by many authors among them, Tognetti et al. (2002), TWO field experiments were carried out during 2016/2017 and 2017/2018 seasons at the agricultural experimental station farm of Water Studies & Research Complex (WSRC), National Water Research Center, located in Abu-Simbel, Toshka, at the most southern part of Egypt, about 1300 south from Cairo and 280 Km from Aswan (latitude of 22 o.49N, longitude of 28 o.58E) Aswan Governorate, Egypt. These trials aimed to find out the effect of water stress rates (60%, 80% and 100% of irrigation water requirements (IWR). on yield, yield components and quality of sugar beet varieties namely Oscar poly, Farida, and Universal. Randomized complete block design, in Strip Plots arrangement, with three replications was used.
PENGARUH KINERJA PERUSAHAAN DAN PERTUMBUHAN LABA TERHADAP KUALITAS LABA: PERAN GOOD CORPORATE GOVERNANCE

Penelitian bertujuan menguji pengaruh kinerja perusahaan, pertumbuhan laba dan peran Good Corporate Governance (GCG) terhadap kualitas laba. Populasi penelitian ini adalah perusahaan perbankan yang tercatat pada Bursa Efek Indonesia (BEI) pada tahun penelitian 2011-2019 dan terdaftar dalam Corporate Governance Perception Index (CGPI). Sebanyak 7 bank yang memenuhi kriteria, dengan demikian jumlah amatan dalam penelitian ini adalah 63. Pengujian hipotesis dilakukan menggunakan analisis regresi linear berganda dan Moderated Regression Analysis (MRA). Hasil penelitian ini menunjukkan bahwa GCG, kinerja perusahaan, dan pertumbuhan laba secara parsial dan simultan berpengaruh positif dan signifikan terhadap kualitas laba. Selanjutnya, GCG memoderasi pengaruh kinerja perusahaan dan pertumbuhan laba terhadap kualitas laba. Hasil berkontribusi yaitu memperkuat temuan penelitian terdahulu, dan menyediakan bukti empiris peran moderasi GCG terhadap kualitas laba.
Optimasi Fermentasi Bagas Tebu oleh Zymomonas mobilis CP4 (NRRL B-14023) untuk Produksi Bioetanol

Second generation bioethanol can be produced from fermentation of natural renewable materials, such as agricultural crops, as well as from industrial and domestic waste. The present study was aimed to optimize the fermentation process (inoculum concentration, urea concentration, and fermentation time) for ethanol production from sugarcane bagasse by Zymomonas mobilis CP4 using response surface methodology (RSM) central composite experimental design (CCD). The RSM model predicted the optimum value of ethanol content was 1.257% (v/v) at inoculum concentration 15% (v/v), urea concentration 0.3% (w/v), and fermentation time 45 h. Based on the experiment, the ethanol concentration was 1.213% (v/v), which was in close agreement with the predicted value. Ethanol yield of this experiment was 0.479 with fermentation efﬁ ciency of 93.9%. The results presented here proved a signiﬁ cant contribution of Z. mobilis CP4 to the production of bioethanol from sugarcane bagasse. ABSTRAK Bioetanol generasi kedua dapat diproduksi dari fermentasi bahan terbarukan, seperti produk hasil pertanian, dan limbah atau hasil samping pengolahan industri dan rumah tangga. Tujuan penelitian ini adalah optimasi parameter fermentasi yang meliputi konsentrasi inokulum, konsentrasi urea, dan lama fermentasi untuk produksi etanol dari bagas tebu oleh Zymomonas mobilis CP4 dengan menggunakan response surface methodology (RSM) central composite experimental design (CCD). Kondisi respon yang optimal berdasarkan prediksi model diperoleh pada konsentrasi inokulum 15% (v/v), konsentrasi urea 0,3% (b/v), dan lama fermentasi 45 jam, dengan prediksi respon kadar etanol sebesar 1,257% (v/v). Berdasarkan hasil penelitian, kadar etanol optimal diperoleh sebesar 1,213% (v/v), yang menunjukkan hasil yang tidak berbeda jauh dengan prediksi model. Yield etanol yang diperoleh sebesar 0,479 dengan eﬁ siensi fermentasi 93,9%. Hasil penelitian ini membuktikan bahwa strain bakteri Zymomonas mobilis CP4 memiliki potensi yang cukup menjanjikan sebagai mikroba penghasil etanol.
Reinforced granular column for deep soil stabilization: A review

The engineering structures constructed on thick deposits of soft soil strata have problems of low bearing capacity, excessive total and differential settlement, lateral spreading etc. To mitigate such problems, different ground improvement techniques are available namely; vertical drains, lime/cement column, stone (granular) column etc. in view of their proven performance, short time schedule, durability, constructability and low costs. Stone column technique seems to be very suitable and favourable ground improvement technique for deep soft soil improvement. Further to prevent excessive bulging, squeezing of stone into soft soil, stone column can be encased with suitable geosynthetic. Another advantage of encasement is having high load carrying capacity and lesser settlement of composite foundation. This paper presents the current state of the geosynthetic encased stone column as a ground improvement technique. A review is provided aiming to: (a) identify key considerations for the general use of encased stone columns, (b) provide insights for design and construction, (c) compile the latest research developments. Case histories of field applications and observed field performance are cited to portray different stone column applications and observed effectiveness. The paper identifies areas where more research is needed and includes recommendations for future research and development.
Employee responses to pay transparency

Pay transparency is often seen as a controversial topic (Birkinshaw & Cable, 2017). Companies that have disclosed information about what employees earn frequently make headlines (Loudenback, 2017), and some argue that the prevalence of online salary sharing tools such as Glassdoor.com will make pay transparency something that younger generations will simply expect of their employers (Marasi & Bennett, 2016). This trend has naturally made some employers and human resource (HR) practitioners nervous that greater transparency could expose pay inequalities, cause reputational damage or increase costs (Zenger, 2016). These potential impacts remain understudied in the academic literature, as do the potential impacts of pay transparency on various organisational outcomes such as job turnover and employee satisfaction (Smit & Montag-Smit, 2018; Trotter, Zacur, & Stickney, 2017), making it harder for employers and HR to know how to handle pay transparency.
Hepatic CYP3A4 Enzyme Compensatively Maintains Endogenous Geranylgeranoic Acid Levels in MAOB-Knockout Human Hepatoma Cells

Geranylgeranoic acid (GGA), developed as a preventive agent against second primary hepatoma, has been reported to be biosynthesized via the mevalonate pathway in human hepatoma-derived cells. Recently, we found that monoamine oxidase B (MAOB) catalyzed the oxidation of geranylgeraniol (GGOH) to produce geranylgeranial (GGal), a direct precursor of endogenous GGA in hepatoma cells, using tranylcypromine, an inhibitor of MAOs, and knockdown by MAOB siRNA. However, endogenous GGA level was unexpectedly unchanged in MAOB-knockout (KO) cells established using the CRISPR-Cas9 system, suggesting that some other latent metabolic pathways maintain endogenous GGA levels in the MAOB-KO cells. Here, we investigated the putative latent enzymes that oxidize GGOH in Hep3B/MAOB-KO cells. First, the broad-specific cytochrome P450 enzyme inhibitors decreased the amount of endogenous GGA in Hep3B/MAOB-KO cells in a dose-dependent manner. Second, among the eight members of cytochrome P450 superfamily that have been suggested to be involved in the oxidation of isoprenols and/or retinol in previous studies, only the CYP3A4 gene significantly upregulated its cellular mRNA level in Hep3B/MAOB-KO cells. Third, a commercially available recombinant human CYP3A4 enzyme was able to oxidize GGOH to GGal, and fourth, the knockdown of CYP3A4 by siRNA significantly reduced the amount of endogenous GGA in Hep3B/MAOB-KO cells. These results indicate that CYP3A4 can act as an alternative oxidase for GGOH when hepatic MAOB is deleted in the human hepatoma-derived cell line Hep3B, and that endogenous GGA levels are maintained by a multitude of enzymes.