Miracle-dz/UniFAR-FTUs huggingface dataset:
Fumigation toxicity of essential oils from five species of Eucalyptus against adult of Sitophilus oryzae L. (Coleoptera: Curculionidae).

Rice weevil, Sitophilus oryzae L. (Coleoptera: Curculionidae) is one of the major and cosmopolitan pests of stored products. This study was conducted to estimate the fumigant toxicity effect of essential oils from five species of Eucalyptus including E. camaldulensis, E. grandis, E. viminalis, E. microtheca and E.sargentii against adults of this pest. Essential oils were prepared by hydro distillation methods using clevenger-type apparatus. Based on primary experiments, for each essential oil, five concentrations in five replications with controls were used. The adult mortality was recorded after 24, 48 and 72 h of treatment. Probit analysis was used to estimate LC50 values by SAS 9.1. Based on the results, the mortality of 1-7 day old adults of the insect pest increased with increasing concentration and exposure time from 24 to 72 h. LC50 values of essential oil of E. camaldulensis, E. grandis, E.viminalis, E. microtheca and E. sargentii on adults of S. oryzae were found to be 17.49, 15.65, 14.73, 11.11 and 11.94 μl/lair, respectively. Results show that after 48 h of fumigation the highest and lowest toxicity was related to the E. microtheca (LC50= 11.11 μl/lair) and E. camaldulensis (LC50=17.49 μl/lair), respectively. It was found that essential oils extracted from Eucalypts species could be used as a safe pesticide or model for new synthetic pesticides to control storage pest.
Upregulation of TRAIL receptors and pro‐apoptotic factor Bax in emphysematous subjects

Emphysema is characterized by lung inflammation and pulmonary alveolar destruction. It has been shown that alveolar apoptosis is increased in emphysema. However, mechanisms that lead to this increase are still unknown. Our HYPOTHESIS is that the « TNF‐related apoptosis‐inducing ligand » (TRAIL) system and Bax are modulated in emphysema. TRAIL can induce apoptosis in a caspase‐dependent manner and can also induce the activation of the transcription factor NF‐kB. Bax is a pro‐apoptotic factor found in the cytoplasm and at the mitochondria outer membrane. Bax transcription can be induced by DNA damage.
Potency of Traditional Insecticide Materials against Stored Bean Weevil, Acanthoscelides Obtectus (Coleoptera: Bruchidae) in Tanzania

The bean weevil, Acanthoscelides obtectus is a major insect pest of stored common bean, Phaseolus vulgaris an important source of plant protein in many parts of the world, Tanzania inclusive. In rural Tanzania, most smallholder farmers apply traditional insecticide materials in the protection of bean from insect pests. The laboratory study investigates the potency of the selected traditional insecticide materials employed by small scale farmers to reduce stored bean losses caused by A. obtectus . The materials were identified and collected from Kimuli and Mabira villages in Kagera region and from Dar es Salaam. The effect of the materials to A. obtectus at different doses and durations was determined by both the number of surviving insects in treated set-ups reflecting the insect mortality and by the insects' reproductive performance at first filial generation (F1). The findings revealed effectiveness of the materials against A. obtectus to vary in the order: Azadirachta indica > Tephrosia vogelii > Nicotiana tabacum > Vegetation ash > Ocimum gratissimum > Crassocephalum crepidioides . Kruskal-Wallis test indicated significant differences in the number of A. obtectus survivors among the treatments at different doses during the study periods and also in the number of insects’ progeny (F1) produced at the end of their life cycle. It was concluded that the materials exhibit potency against A. obtectus at varying levels. Keywords : Traditional insecticide materials, Acanthoscelides obtectus , potency, Phaseolus vulgaris , mortality
Brain and virtual reality: What do they have in common and how to exploit their potential

Different studies suggest that Virtual Reality (VR) is an effective tool for behavioural health, with long-term effects that generalize to the real world. Here we suggest that the efficacy of VR can be explained by how it works. Specifically, VR shares with our brain the same basic mechanism: embodied simulations. Different major discoveries in the field of neuroscience suggest that our brain produces and updates an embodied simulation of the body in the world. This simulation is actively used by different cognitive processes to represent and predict actions, concepts, and emotions. VR works in a similar way: through the integration of data from trackers and contents of a simulated 3D world, a VR system builds a model (simulation) of the body and the space around it. Like the brain, the VR system uses the simulation to predict the sensory consequences of the individual’s movements. In this view, the more the VR model is similar to the brain model, the more the individual feels present in the VR world. The paper discusses the potential of this link, by suggesting the emergence of a new clinical approach that uses the simulative potential of VR to exploit/empower (transformation of flow) and/or correct/update (embodied medicine) the predictive/simulative mechanisms of the brain.
Comparative response to nitrogen deficiency of a tropical and temperate grass in the interrelation between photosynthesis, growth, and the accumulation of non-structural carbohydrate

A tropical grass, Panicum maximum var. trichoglume and a temperate grass, Lolium perenne, were grown in controlled environment rooms at near optimum temperatures of 25 and 18 deg C, respectively. After an initial period of growth on full nitrogen nutrient solution, a proportion of the plants of both species were transferred to 'nil' N nutrient solution. A sequence of destructive harvests was taken as the plants became increasingly N deficient, and calculations were made of relative growth rate (RW), relative leaf area growth rate (RA) and net assimilation rate per unit leaf area (EA). On a similarly treated group of plants, net photosynthetic rate (PN) and dark respiration rate of attached leaves were measured.Organic and nitrate N were estimated on the photosynthesis-tested leaves, and on comparable leaves from the growth analysis plants at each harvest. Percentage total non-structural carbohydrate (%TNC) was estimated for P. maximum only.P. maximum maintained a higher RW and PN than L. perenne at comparable percent leaf N. With increasing N stress, EA of both species declined to a similar relative extent, but RA of P. maximum decreased much less than that of L. perenne. This difference in response to N between the species in the balance of assimilate input and consumption in new growth may in part explain why, under N deficiency, published studies indicate that % TNC reach higher levels in L. perenne and other temperate grasses than in tropical grasses such as P. maximum
Relationship of the hs-CRP Levels with FBG, Fructosamine, and HbA1c in Non-diabetic Obesity Adults

Obesity has been reported to be a cluster of risk factors in the pathological ecology, In particular, there is increasing evidence that inflammation-related factors are associated with diabetes. This study examined the relationship between the hs-CRP level and FBG, fructosamine, and HbA1c in 4,734 non-diabetic adults aged 20 years or older, who were approved by the National Health and Nutrition Survey in 2015. The results showed that the FBG, fructosamine, and HbA1c levels increased with increasing BMI; the hs-CRP levels were the highest in the obese group, and HOMA-IR, an index of insulin resistance, was also significantly higher in the obese group. The hs-CRP level was the highest in obese adults. The levels of FBG, fructosamine. and HbA1c, which are involved in blood glucose control, increased with increasing hs-CRP level. The FBG, fructosamine, and HbA1c levels increased significantly with increasing hs-CRP level after adjusting for various related variables. These results suggest that the obesity-induced increase in hs-CRP is a risk factor for diabetes mellitus in non-diabetic adults. Therefore, proper dietary habits and regular exercise should prevent diabetes by preventing obesity in non-diabetic adults.
A yaw control Approach using economic aspects

The share of wind energy in modern societies energy supply increases constantly. Whereas blade pitch and torque control of wind turbines are extensively covered within literature, yaw control is rarely discussed. Yaw is controlled in order to increase the turbines energy output, yet turning a heavy nacelle with a large rotor into the wind also consumes significant amounts of energy. Furthermore, there is the desire to reduce wear in gears, bearings, and brakes. To make matters worse, the sensitivity of the turbine’s power generation on the yaw angle depends on the overall wind velocity in a non-linear way. Practical problems like sensor noise and the avoidance of cable twist occur as well. Therefore, we developed an energy optimized control scheme based on a dead-band controller with hysteresis and an integrated positioning feed forward algorithm. For the control design, the DLR EWITAC Library was used that enables the object-oriented modelling and simulation of wind-turbines based on the Modelica standard. The controller was designed using simplified models and validated with the computer simulation of a fully flexible wind turbine combined with a stochastic wind model.
Human translation vs machine translation: The practitioner phenomenology

The paper aimed at exploring the current phenomenon regarding human translation with machine translation. Human translation (HT), by definition, is when a human translator—rather than a machine—translate text. It's the oldest form of translation, relying on pure human intelligence to convert one way of saying things to another. The person who performs language translation. Learn more about using technology to reduce healthcare disparity. A person who performs language translation. The translation is necessary for the spread of information, knowledge, and ideas. It is absolutely necessary for effective and empathetic communication between different cultures. Translation, therefore, is critical for social harmony and peace. Only a human translation can tell the difference because the machine translator will just do the direct word to word translation. This is a hindrance to machines because they are not advanced to the level of rendering these nuances accurately, but they can only do word to word translations. There are different translation techniques, diverse theories about translation and eight different translation services types, including technical translation, judicial translation and certified translation. The translation is the process of translating the sequence of a messenger RNA (mRNA) molecule to a sequence of amino acids during protein synthesis. The genetic code describes the relationship between the sequence of base pairs in a gene and the corresponding amino acid sequence that it encodes.
Automatic voice emotion recognition of child-parent conversations in natural settings

ABSTRACT While voice communication of emotion has been researched for decades, the accuracy of automatic voice emotion recognition (AVER) is yet to improve. In particular, the intergenerational communication has been under-researched, as indicated by the lack of an emotion corpus on child–parent conversations. In this paper, we presented our work of applying Support-Vector Machines (SVMs), established machine learning models, to analyze 20 pairs of child–parent dialogues on everyday life scenarios. Among many issues facing the emerging work of AVER, we explored two critical ones: the methodological issue of optimising its performance against computational costs, and the conceptual issue on the state of emotionally neutral. We used the minimalistic/extended acoustic feature set extracted with OpenSMILE and a small/large set of annotated utterances for building models, and analyzed the prevalence of the class neutral. Results indicated that the bigger the combined sets, the better the training outcomes. Regardless, the classification models yielded modest average recall when applied to the child–parent data, indicating their low generalizability. Implications for improving AVER and its potential uses are drawn.
Multimodal quantitative optical elastography of the crystalline lens with optical coherence elastography and Brillouin microscopy.

Assessing the biomechanical properties of the crystalline lens can provide crucial information for diagnosing disease and guiding precision therapeutic interventions. Existing noninvasive methods have been limited to global measurements. Here, we demonstrate the quantitative assessment of the elasticity of crystalline lens with a multimodal optical elastography technique, which combines dynamic wave-based optical coherence elastography (OCE) and Brillouin microscopy to overcome the drawbacks of individual modalities. OCE can provide direct measurements of tissue elasticity rapidly and quantitatively, but it is a challenge to image transparent samples such as the lens because this technique relies on backscattered light. On the other hand, Brillouin microscopy can map the longitudinal modulus with micro-scale resolution in transparent samples. However, the relationship between Brillouin-deduced modulus and Young's modulus is not straightforward and sample dependent. By combining these two techniques, we can calibrate Brillouin measurements with OCE, based on the same sample, allowing us to completely map the Young's modulus of the crystalline lens. The combined system was first validated with tissue-mimicking gelatin phantoms of varying elasticities (N = 9). The OCE data was used to calibrate the Brillouin shift measurements and subsequently map the Young's modulus of the phantoms. After validation, OCE and Brillouin measurements were performed on ex-vivo porcine lenses (N = 6), and the Young's modulus of the lenses was spatially mapped. The results show a strong correlation between Young's moduli measured by OCE and longitudinal moduli measured by Brillouin microscopy. The correlation coefficient R was 0.98 for the phantoms and 0.94 for the lenses, respectively. The mean Young's modulus of the anterior and posterior lens was 1.98 ± 0.74 kPa and 2.93 ± 1.13 kPa, respectively, and the Young's modulus of the lens nucleus was 11.90 ± 2.94 kPa. The results presented in this manuscript open a new way for truly quantitative biomechanical mapping of optically transparent (or low scattering) tissues in 3D.
A study of viral and immunological markers of human papillomavirus (HPV) related progression of cervical neoplasia.

Cervical cancer is the second most common cancer among women worldwide with 493,000 new cases reported and 274,000 deaths in 2002. Eighty three percent of cervical cancer cases occur in the developing countries.1 In India, every year 132,082 new cases of cervical cancer cases are diagnosed and 74,118 women die from the disease. Thus, India has one-fourth of the global burden of cervical cancer. Human papillomavirus (HPV) infection is an identified cause for the development of cervical cancer. Epidemiological studies have shown that infections with certain HPV types (genotypes) are responsible for most cases of cervical cancer. Based on available data, HPV is classified as established high risk types ( 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59), probable high risk types (26, 53, 66, 68, 73, 82) and established low risk types (6, 11, 40, 42, 43, 44, 54, 61, 70, 72, 81, CP6108). 4 Globally, the most common high risk types in decreasing order of occurrence are HPV 16, 18, 45, 31, 33, 58, 52, 35, 59, 56, 51, 68, 39, 82, 73 and 66. HPV 16 and 18 are the major types which account for 70% of the total HPV infections. India has a HPV prevalence rate of 96% in women with squamous cell carcinoma (SCC) and 100% in women with adenocarcinoma (ADC). HPV 16 and 18 are the major types reported in India which accounts for more than 70% of total infections, followed by 33, 58, 35 and 45. This study attempted to evaluate the role of certain HPV markers with prognosis in women with cervical neoplasia. Three groups of women were studied. They were women with cervical neoplasia (Study group I), women without cervical neoplasia (Study group II) and healthy women from the community (Study group III). This study has looked at certain HPV specific viral and immunological markers and their possible association with cervical neoplastic disease progression in Indian patients. These facets of this study have been poorly reported from other parts of India. This study has found a lack of association between HPV 16 and 18 viral load in cervical tissue, HPV 18 plasma viremia, HPV16 and 18 mRNA transcript detection in tissue and PBMCs, T cell responses to HPV 16 E7 peptides and antibody response to HPV 16 E2, E6 and E7 peptides and progression of cervical neoplasia in Indian women. PCR-RFLP and LBA were found to be useful methods of HPV DNA detection and genotyping in cervical tissue. HPV 16 plasma viremia and HPV 16 E6/E7 mRNA transcript quantitation in cervical tissue were useful markers of cervical disease progression. T cell responses to HPV 16 peptides other than E7 need to be further elucidated to completely understand the role of immune responses in HPV infection. Antibody responses to HPV 16 and 18 VLPs were found to be markers of viral exposure but did not show association with disease progression.
Stylistics on the linguistics text applied in a social approach to get a certain goal

The stylistics on the linguistics has an important role in the text applied. The social approach is one way how to get a certain goal. In this case, the brilliant solution to solve the problem based on the new method and procedure that can we did. For the public person in the word, the common way can not be avoided a social behavior as well as the community interaction. The current paper explained and explore how it can be done based on a certain way. Of course, the basic concept should be maintained, therefore, in solving the problem those are two principle concept must be had. The first is a success and the second is study.
Variable Selection of Feature Pattern using SVM-based Criterion with Q-Learning in Reinforcement Learning

Selection of feature pattern gathered from the observation of the RNA sequencing data (RNA-seq) are not all equally informative for identification of differential expressions: some of them may be noisy, correlated or irrelevant because of redundancy in Big-Data sets. Variable selection of feature pattern aims at differential expressed gene set that is significantly relevant for a special task. This issues are complex and important in many domains, for example. In terms of a computational research field of machine learning, selection of feature pattern has been studied such as Random Forest, K-Nearest and Support Vector Machine (SVM). One of most the well-known machine learning algorithms is SVM, which is classical as well as original. The one of a member of SVM-criterion is Support Vector Machine-Recursive Feature Elimination (SVM-RFE), which have been utilized in our research work. We propose a novel algorithm of the SVM-RFE with Q-learning in reinforcement learning for better variable selection of feature pattern. By comparing our proposed algorithm with the well-known SVM-RFE combining Welch’ T in published data, our result can show that the criterion from weight vector of SVM-RFE enhanced by Q-learning has been improved by an off-policy by a more exploratory scheme of Q-learning.
Sarcopenia and clinical presentation

Sarcopenia is characterized by the progressive generalized loss of muscle function, quality, strength and mass. Although it is known as a primary geriatric disease, it may also develop in younger individuals secondary to immobilization, malnutrion and cachexia. The exact etiology is unknown, but the most commonly suggested contributory factors are a decrease in protein synthesis, mitochondrial dysfunction, reactive oxygen products, chronic inflammation, nutritional deficiency, loss of perfusion, age-related neuromuscular alterations, decrease in sex hormone, growth hormone (GH), insulin-like growth factor (IGF-1) and vitamin D levels together with physical inactivity. There are severe negative effects on quality of life and the individual 's socio-economic status and thus, sarcopenia is a significant public health problem. Sarcopenia is strongly correlated with the increased fragility that develops in the elderly and is a significant risk factor and also an indicator of disability and mortality. The evaluation of muscle strength and physical performance is mandatory for the diagnosis of sarcopenia. Despite the lack of a definitive treatment method, the most commonly accepted approaches include physical activity, nutritional supplementation therapy, and hormonal and new pharmacological agents. In this review sarcopenia, which is a common but sometimes misdiagnosed condition in clinical practice, is discussed in the light of current knowledge.
Real-time multimodal emotion recognition system based on elderly accompanying robot

In recent years, people have been paying more attention to the impact of technological development on human emotion recognition. At the same time, China has become the country with the most elderly population in the world. However, due to the lack of real-time multimodal emotion recognition technology for the elderly accompany robots, this paper proposes a deep learning decision-level fusion of real-time emotion analysis model which is based on the background of the elderly care. The results of image and audio recognition are used for intersection and union operation to get emotional classification result, and the obtained emotional result is corresponding to the feedback behavior of the accompany robot.And after the experiment, the recognition algorithm proposed in this paper accuracy can reach about 90%, which is nearly 10% higher than the single mode, and the feedback of the robot has achieved the expected effect.
A Brief Review of Security in Emerging Programmable Computer Networking Technologies

Recent programmable networking paradigms, such as cloud computing, fog computing, software-defined networks, and network function virtualization gain significant traction in industry and academia. While these newly developed networking technologies open a pathway to new architectures and enable a faster innovation cycle, there exist many problems in this area. In this article, we provide a review of these programmable networking architectures for comparison. Second, we provide a survey of security attacks and defense mechanisms in these emerging programmable networking technologies.