Miracle-dz/UniFAR-FTUs huggingface dataset:
FIVE-LEVEL DTC CONTROL OF INDUCTION MACHINE DRIVE USING FUZZY LOGIC CONTROLLER FOR LOW TORQUE RIPPLE

This paper presents an improved five-level direct torque control (DTC) based on fuzzy logic. The major problem that usually associated with DTC drive is the high torque ripple. To overcome this problem a torque hysteresis band with variable amplitude is proposed based on fuzzy logic. The fuzzy proposed based on fuzzy logic. The fuzzy proposed controller is shown to be able to reduce the torque and flux ripples and to improve performance DTC, especially at low speed. The validity of the proposed methods is confirmed by the simulative results.
Neural correlates of sleep recovery following melatonin treatment for pediatric concussion: a randomized control trial

Evidence-based treatments for children with persistent post-concussion symptoms (PPCS) are few and limited. Common PPCS complaints such as sleep disturbance and fatigue could be ameliorated via the supplementation of melatonin, which has significant neuroprotective and anti-inflammatory properties. This study aims to identify neural correlates of melatonin treatment with changes in sleep disturbances and clinical recovery in a pediatric cohort with PPCS. We examined structural and functional neuroimaging (MRI) in 62 children with PPCS in a randomized, double-blind, placebo-controlled trial of 3mg or 10mg of melatonin (NCT01874847). The primary outcome was the total youth self-report Post-Concussion Symptom Inventory (PCSI) score after 28 days of treatment. Secondary outcomes included the change in the sleep domain PCSI score and sleep-wake behavior (assessed using wrist-worn actigraphy). Whole-brain analyses of (i) functional connectivity (FC) of resting-state fMRI, and (ii) structural grey matter (GM) volumes via voxel-based morphometry were assessed immediately before and after melatonin treatment and compared to placebo in order to identify neural effects of melatonin treatment. Increased FC of posterior default mode network (DMN) regions with visual, somatosensory and dorsal networks was detected in the melatonin groups over time. FC increases also corresponded with reduced wake periods (r=-0.27, p=0.01). Children who did not recover (n=39) demonstrated significant FC increases within anterior DMN and limbic regions compared to those that did recover (i.e. PCSI scores returned to pre-injury level n=23) over time, (p=0.026). Increases in GM volume within the posterior cingulate cortex were found to correlate with reduced wakefulness after sleep onset (r=-0.32, p=0.001) and sleep symptom improvement (r=0.29, p=0.02). Although the melatonin treatment trial was negative and did not result in PPCS recovery (with or without sleep problems), the relationship between melatonin and improvement in sleep parameters were linked to changes in function-structure within and between brain regions interacting with the DMN. Clinical Trial Registration ID#NCT01874847.
Tertiary Lymphoid Structure and CD8 T Cell Exclusion in Minimally Invasive Adenocarcinoma

Lung adenocarcinoma is the leading cause of cancer death. To characterize the tumor microenvironment (TME) of early-stage lung adenocarcinoma, we performed RNA-seq profiling on 59 pairs of minimally invasive adenocarcinoma (MIA) tumors and matched adjacent normal lung tissues from Chinese patients. We observed mucin over-expression and glycosylation, and altered cytokine-cytokine interactions in MIA tumors, which also had distinct adaptive immune TME of higher CD4+ T cell infiltration, higher plasma B cell activation, and lower CD8+ T cell infiltration. The high expression of markers for B cells, activated CD4 T cells, and follicular helper T (Tfh) cells in MIA implicated the formation of tertiary lymphoid structures (TLS), which were supported by two independent single-cell RNA-seq data. Multiplex immunohistochemistry (mIHC) staining of 22 MIA tumors validated TLS formation and revealed an enrichment of follicular regulatory T cells (Tfr) in TLS follicles, which may explain the lower CD8+ T cell infiltration and attenuated anti-tumor immunity in MIA.
Development of a Flow Cytometry-Based Whole-Blood Prognostic Immune Signature in Metastatic Cancer Patients treated with immune checkpoint inhibitors

Recent biomarker research focuses on early immunological changes to predict treatment response to immune checkpoint inhibitors (ICI). Within this prospective ST-ICI trial, pre-planned biomarker analysis was performed and we developed a flow cytometry-based whole-blood prognostic immune signature (FCBPS) to predict overall survival (OS) benefit of cancer patients treated with ICI. For this, fifty-four immune cell subsets were analyzed in the patients peripheral blood before the second administration of the ICI. Patients were randomly allocated to a training and validation cohort. Univariate Cox proportional hazards regression analysis and LASSO Cox model were used to develop a predictive and prognostic signature. 104 patients were prospectively enrolled. 89 patients provided blood samples. The identified FCBPS signature bases on five immune cell subtypes: neutrophils, plasmacytoid dendritic cells (pDCs), natural killer (NK)T cells (CD56+/CD16+), monocytes (CD14high) and CD8+ T cells (PD-1+). This signature achieved a high accuracy (C-index 0.74 vs 0.71) for predicting OS benefit in the training and validation cohort. Both in the training and validation cohort, the low-risk group had significantly longer OS than the high-risk group (HR 0.26, 95% CI: 0.12-0.56, p=0.00025; HR 0.30, 95% CI: 0.10 -0.91, p=0.024, respectively). In the whole cohort, FCBPS is a predictor of OS (HROS=0.28, 95% CI: 0.15-0.52) and progression-free survival (HRPFS=0.22, 95% CI: 0.12-0.39) that remained independent in multivariate analyses and subgroup analyses after adjusting for clinical and pathological factors. The identified flow cytometry-based whole-blood prognostic signature (FCBPS) is a powerful predictor for metastatic cancer patients who benefit from ICI treatment.
Transferability of microsatellite markers from Eucalyptus spp. to Eugenia dysenterica (Myrtaceae family)

Cagaita (Eugenia dysenterica) is a widespread plant found in the Brazilian cerrado. Its fruit is used for popular consumption and for industrial purposes. A battery of 346 primer pairs developed for Eucalyptus spp. was tested on cagaita. Only 10 primer pairs were found to be transferable between the two species. Using a polyacrilamide gel, an average of 10.4 alleles per locus was detected, in a sample of 116 individuals from 10 natural populations of cagaita. Seven polymorphic loci allowed estimation of genetic parameters, including expected average heterozigosity HE = 0.442, diversity among populations, RST = 0.268 and gene flow Nm = 0.680.
Research on Personnel Information Collaborative Sensing Method of Intelligent Building Based on CPS

Distribution of Personnel information within each area of the building is very important for energy efficiency and emission reduction of building energy systems. Staff perception is also the basis for satisfying the office and living environment with the least amount of energy consumption. This paper discusses the methods of staff perception and estimation for building energy systems, and discusses the use of multiple information-aware technologies and multi-source information fusion methods. A method of data acquisition based on pyroelectric sensor and recognition based on convolution neural network is proposed in this paper. At the end of the paper, the experimental results are obtained and compared with the other three methods, which proves the validity of the proposed method.
Afromontane small mammals do not follow the hump-shaped rule: altitudinal variation in the Soutpansberg Mountains, South Africa

Abstract: Altitudinal transects of biodiversity are important to understanding macro-ecological patterns. Hump-shaped altitudinal profiles in species richness are a common pattern in terrestrial small-mammal communities studied previously mostly in New World mountain ranges. Based on capture–mark–recapture live-trapping conducted over four seasons (four nights per session) along an altitudinal transect from 1000 to 1747 m asl on the southern slopes of the Soutpansberg Mountains of northern South Africa, we recorded 12 species of small mammal, including nine rodents, two shrews and one elephant shrew (sengi). Three species of rodent and the sengi dominated the communities whilst six species were recorded with three or fewer captures. Although we found no effect of season, we found a significant linear increase in terrestrial small-mammal richness (but not Simpson's diversity, D) with altitude in the Soutpansberg Mountains located just north of the Tropic of Capricorn in South Africa. This trend could best be explained by an increase in the proportion of rocky cover and a change in vegetation from savanna to grassland. Peak densities of three common rodent species and one common insectivore varied from 10 ha−1 (Elephantulus myurus) to 54 ha−1 (Micaelamys namaquensis) and density showed no significant variation with season. However, density either declined (Aethomys ineptus) or increased (Rhabdomys dilectus and Elephantulus myurus) significantly with altitude; this variation was best explained by the proportion of rocky cover. Seasonal variation had a significant effect on body mass of two rodent species. A review of small-mammal studies from major mountain ranges in Africa and Madagascar found that the hump-shaped pattern is not common. Declines in richness with increasing altitude as well as cases of no significant altitudinal change were the most common patterns noted. Tropical African mountains (including the Soutpansberg with 27 species) have far higher small-mammal diversity than temperate African mountains.
Variation and covariation of life history traits in aphids are related to infection with the facultative bacterial endosymbiont Hamiltonella defensa

Host-symbiont associations play an important role in insects. In aphids, facultative symbionts affect host plant use and increase thermal tolerance and resistance to natural enemies. In spite of these beneficial effects on aphid fitness, the frequency of facultative symbionts in aphids ranges from low to intermediate. Tradeoffs induced by symbionts could prevent the fixation of symbionts in aphid populations. Therefore, we studied the life history traits and correlations between them in 21 clones of the black bean aphid, Aphis fabae, seven of which were infected with the facultative endosymbiont Hamiltonella defensa. We found that clones harbouring H. defensa exhibited significantly higher body mass at maturity and offspring production, and a marginally higher intrinsic rate of increase. However, development time and offspring body size did not differ between symbiont-free and infected clones. In addition, body mass at maturity was positively correlated with offspring production, offspring body size and intrinsic rate of increase, whereas development time was negatively correlated with body mass at maturity, offspring production and offspring body size. Excluding infected clones had little effect on these correlations; only correlations between body mass at maturity and offspring production, and between development time and offspring body size, became nonsignificant. Therefore, we did not find any evidence for tradeoffs between life history traits induced by symbiont infection. In fact, infected clones had higher overall fitness than symbiont-free clones under the conditions of our experiment, suggesting that symbionts do not impose costs on aphids harbouring them. © 2010 The Linnean Society of London, Biological Journal of the Linnean Society, 2010, 100, 237-247.
Prevalence of Self-Medication among the Elderly in Gorgan, North of Iran

Background and objectives: Self-medication is a major global health problem. Regarding this issue, the elderly are one of the most vulnerable groups in the community. The aim of this study was to determine prevalence and pattern of self-medication among the elderly in Gorgan, Iran. Methods: This cross-sectional study was carried out on 550 elderly residents of Gorgan in winter of 2017. Data were collected using a questionnaire consisting of 14 questions on demographic variables and medication use. The collected data were analyzed with SPSS (version 18) using Pearson’s correlation coefficient and the chi-square test. Results: The overall prevalence of self-medication was 76.2% among the elderly people. Selfmedication was more frequent in women (82.2%), married elderly (78.2%), and those with low education level (81.3%). Moreover, the most common reasons of self-medication were common cold and cough (48%) and headache (38.9%). Analgesics (67.1%) and non-steroidal antiinflammatory drugs (58.5%) were the most frequently used drugs for self-medication. Main derivers of self-medication were previous experience with the medication (63.7%) and the high cost of doctor's visit (54.5%). In addition, the most important sources of information about self-medication were previous prescription notes (53.2%) and previous experience with the condition (31%). Furthermore, we found a significant correlation between self-medication and some demographic variables including gender, marital status and education level (P<0.05). Conclusion: We demonstrated that the prevalence of self-medication, especially with analgesics and non-steroidal anti-inflammatory drugs, is high among the elderly people in Gorgan, Iran. This highlights the need for preventive measures, including training programs and restriction on access to certain medications in this area.
Interference reduction in long‐term evolution‐advanced by frequency and power domains

Mobile communication systems are growing steadily. In addition, users require better quality of service and large coverage offering a high quality of signal. To meet these challenges, a new concept named heterogeneous network (Het‐Net) has been adopted. The Het‐Net is a network deploying different types of cells (from a macro shape up to femto ones). Operators look to improve the performance of their networks and to remedy the problem of areas with low coverage. However, the coexistence of these different cell models causes interference at the downlink which can affect offered signal's quality. This interference results therefore performance degradation. Therefore, a novel intercell interference mitigation scheme, based on frequency and power domain, is proposed in order to reduce interference in Het‐Net long‐term evolution‐advanced. In frequency domain, the macrocell has to allocate a frequency band by using fractional frequency reuse scheme and the femtocells choose subbands that are not used in the macrocell sector to reduce interference. On the other hand, the small cells transmitted powers are controlled for limiting the interference imposed by it on the other users in the cell area. Simulation results show that the proposed scheme enhances the signal to interference plus noise ratio of macro and femto users and the overall throughput in the network.
On-the-Fly Adaptivity for Nonlinear Twoscale Simulations Using Artificial Neural Networks and Reduced Order Modeling

A multi-fidelity surrogate model for highly nonlinear multiscale problems is proposed. It is based on the introduction of two different surrogate models and an adaptive on-the-fly switching. The two concurrent surrogates are built incrementally starting from a moderate set of evaluations of the full order model. Therefore, a reduced order model (ROM) is generated. Using a hybrid ROM-preconditioned FE solver, additional effective stress-strain data is simulated while the number of samples is kept to a moderate level by using a dedicated and physics-guided sampling technique. Machine learning (ML) is subsequently used to build the second surrogate by means of artificial neural networks (ANN). Different ANN architectures are explored and the features used as inputs of the ANN are fine tuned in order to improve the overall quality of the ML model. Additional ANN surrogates for the stress errors are generated. Therefore, conservative design guidelines for error surrogates are presented by adapting the loss functions of the ANN training in pure regression or pure classification settings. The error surrogates can be used as quality indicators in order to adaptively select the appropriate -- i.e. efficient yet accurate -- surrogate. Two strategies for the on-the-fly switching are investigated and a practicable and robust algorithm is proposed that eliminates relevant technical difficulties attributed to model switching. The provided algorithms and ANN design guidelines can easily be adopted for different problem settings and, thereby, they enable generalization of the used machine learning techniques for a wide range of applications. The resulting hybrid surrogate is employed in challenging multilevel FE simulations for a three-phase composite with pseudo-plastic micro-constituents. Numerical examples highlight the performance of the proposed approach.
Browsing Behaviour Analysis using Data Mining

Now-a-days most of our time is spent online using some form of digital technology such as search engines, news portals, or social media websites. Our online presence makes us engaged most of the time and leads us to become oblivious of our important work, resulting in a form of procrastination that decreases our productivity significantly. Some desktop and mobile applications have recently emerged to counter the problem by introducing various means of self-tracking to reduce the wasting of time and engage in productive activities. However, these systems suffer several shortcomings in terms of being static or providing a limited view of actions using one aspect only. To promote self-awareness that helps bring positive changes in individual’s performance, there is a need to present the data in a more persuasive ways, bringing interaction to it and present the same data in different ways using both temporal and cate-gorical dimensions. We describe a framework that collects and processes the browsing data and creates a user behavior model to extract valuable and interesting temporal and categorical patterns regarding user online behavior and interests. To discover the valuable behavior patterns from the individual’s browsing data, different web usage mining techniques have been used. Finally, we demonstrate interactive visualizations for the analysis and monitoring of web browsing behavior patterns with the goal of providing the individual with detailed understanding of his/her behavior. We also present a small-scale study including university students, which proves the importance of our work.
Unit Produksi dalam Sistem Penyediaan Air Minum

Air minum yang dihasilkan dari SPAM yang digunakan oleh masyarakat pengguna/pelanggan harus memenuhi syarat kualitas berdasarkan peraturan menteri yang menyelenggarakan urusan pemerintahan di bidang kesehatan yang saat ini berpedoman kepada SK Menteri Kesehatan Nomor 907 tahun 2002 tentang Pengawasan dan Syarat-syarat Kualitas Air Minum. Unit produksi sebagaimana merupakan prasarana dan sarana yang dapat digunakan untuk mengolah air baku menjadi air minum melalui proses fisik, kimiawi, dan/atau biologi. Unit produksi dapat terdiri dari bangunan pengolahan dan perlengkapannya, perangkat operasional, alat pengukuran dan peralatan pemantauan, serta bangunan penampungan air minum dan limbah akhir dari proses pengolahan air baku menjadi air minum wajib diolah terlebih dahulu sebelum dibuang ke sumber air baku dan daerah terbuka. Buku ini menjelaskan tentang syarat-syarat kualitas air minum, jenis-jenis pengolahan air minum serta metode dan teknik dalam menentukan teknologi pengolahan air yang diperlukan sesuai karakteristik sumber air baku yang digunakan. Buku ini juga menjelaskan bagaimana kinerja proses dan operasi dari masing-masing unit dalam instalasi pengolahan air minum atau IPA.
Trophic Status of 19 Subarctic Lakes in the Yukon Territory

Limnological investigations were carried out on 19 Yukon River basin lakes in the summer of 1982 and on 10 of the lakes in March of 1983. Their surface areas ranged from 1.6 to 90 km2 and mean depths from 2.5 to 93 m. Regression analyses were carried out using various chemical and biological variables and results were compared with similar studies in other geographic areas. Based on range in total phosphorus concentrations (3.2–12.9 μg∙L−1), average chlorophyll levels (0.62–3.76 μg∙L−1), and average bacterioplankton numbers (7.8 × 105 to > 107∙mL−1), most lakes were oligotrophic, several were mesotrophic, and one was close to eutrophy. Particulate concentrations of phosphorus, nitrogen, and carbon indicated that most lakes were predominantly phosphorus limited, but in a number, nitrogen was also important in limiting phytoplankton production. The picoplankter Synechococcus sp. was the most abundant phytoplankton species, and common zooplankters were Cyclops scutifer, Daphnia spp. , and Diaptomus pribilofensis.
Enrichment of Vitamins D3, K and Iron in Eggs of Laying Hens

An experiment was conducted to produce eggs enriched with vitamins D3, K and iron in eggs. Six hundred 97-wk-old ISA Brown force molted hens were allocated to completely randomized block arrangement of six dietary treatments: T1; control (C), T2; C+4,000 IU vitamin D3+2.5 mg vitamin K+100 ppm Fe, T3; C+8,000 IU vitamin D3+5.0 mg vitamin K+100 ppm Fe, T4; C+12,000 IU vitamin D3+7.5 mg vitamin K+100 ppm Fe, T5; C+16,000 IU vitamin D3+10.0 mg vitamin K+100 ppm Fe, T6; C+20,000 IU vitamin D3 +12.5 mg vitamin K+100 ppm Fe. Fe was supplemented with Fe-methionine. Each treatment consisted of five replicates of ten cages with two birds per cage. Egg production and egg weight were highest in T2 and incidence of soft and broken egg was highest in T6. Haugh unit was not different among treatments although it tended to be increased as dietary vitamins D3 and K increased. Eggshell strength was not different among treatment. Concentrations of vitamin D3 and K in egg yolk increased and plateaued approximately 20 days after feeding supplemented diets. The level of these vitamins peaked at 12,000 IU/kg vitamin D3 and 7.5 mg/kg vitamin K supplementation and then decreased at the higher than these supplementation levels. The peak concentrations of vitamin D3 and vitamin K were 4.6 times and 4.8 times greater than the control, respectively. Supplementary Fe also increased Fe content in egg yolk. It is concluded that vitamin D3 and K in eggs can be effectively enriched by proper supplementation time and level of these vitamins. (Asian- Aust. J. Anim. Sci. 2005. Vol 18, No. 2 : 226-229)
Enrichment of anammox bacteria from mudflat sediments collected in Tokyo Bay

1 Department of Environmental Engineering, Kisarazu National College of Technology, Kiyomidaihigashi 2-11-1, Kisarazu, Chiba 292-0041, Japan. 2 Department of Environmental Systems Engineering, Nagaoka University of Technology, Kamitomioka 1603-1, Nagaoka 940-2188, Niigata, Japan. 3 Department of Applied Life Science, Niigata University of Pharmacy and Applied Life Sciences, Higashijima 265, Akiha, Niigata 956-8603, Niigata, Japan. 4 Department of Civil Engineering, Tohoku University, Aoba 6-6-06, Aramaki, Aoba, Sendai, Miyagi 980-8579, Japan.