Miracle-dz/UniFAR-FTUs huggingface dataset:
Nitrogen Response of Maize to Fresh and Composted Manure

ABSTRACT Growth traits and yields of maize (Zea mays) are described for varying fertilizer treatments (fresh cow manure, composted manure, inorganic NPK). Relative N-uptake is 9, 28, and 46% for compost, fresh manure and NPK, respectively. Growth rate and yields are correlated significantly with plant tissue nitrate at 30 days, which diminished in the order NPK>fresh manure>control> compost. Similarly, leaf nitrate at silking stage of maize decreases in the same order, with compost giving lowest soluble N levels. Total-N in grain at harvest does not differ significantly between the treatments, however. It is concluded that rapid early nitrogen release contributes to a high yield but elevated plant nitrate and nitrate remaining in soil after harvest are consequences which must be weighed against it. The difficulties inherent in estimating N-release from organic sources are discussed.
Vulnerabilities and Constraints Faced In the Attainment of the Millennium Development Goals in Nigeria

The Millennium Development Goals (MDGs) which depicts an amalgamation of International Development Goals, whose target year for achieving stated objectives was set at 2015, serves as a platform for increased partnership and cooperation between the developed and developing countries. Through the efforts of global partnership, the MDGs seek to eradicate poverty and enhance human development in the best possible ways. Just like other developing countries, Nigeria which was an enthused signatory to the MDGs did not record an overall progress at the end of the MDGs in 2015. Some natural and made-made factors led to this setback. Nevertheless, this research paper seeks to identify the bottle necks in the achievement of these goals in Nigeria and profound possible solutions with good policy recommendation especially with the adoption of new sustainable
A Swift Classification of Attitude for Natural English Text Corpus

Attitudes have been widely studied in psychology and behavior sciences, as they are an important element of human nature. They have also attracted the attention of researchers in computer science, especially in the field of human computer interaction, where studies have been carried out on facial expressions or on the recognition of attitudes through a variety of sensors. In computational linguistics, all words can potentially convey affective meaning. Every word, even those apparently neutral, can evoke pleasant or painful experiences due to their semantic relation with concepts or categories. In this paper, we address the task of the classification of attitude in Text documents. In order to achieve truly natural classification of attitude in text documents, we set focus in our research to Sentiment Classification from text.
Simplified APP Computation of High Order Constellations Combined with Non-Binary LDPC Decoders

Combining non-binary LDPC (Low-Density Parity-Check) codes and high order constellations, such as Quadrature Amplitude Modulations (QAM), is an effective way to improve the bandwidth efficiency. Since, the message exchanged in the LDPC decoder can be measured by the APP (A Priori Probability) or the LLR (Log-Likelihood Ratio), depending on the decoding algorithm type, the message at the decoder input that computed by the QAM must be using the same calculation. However, the number of operations performed by the QAM increases with the constellation order, and the calculation changes with the channel type. In this paper, we use simplified LLR computations, introduced for binary codes, to simplify the APP calculation of square-QAM-Gray demapping for APP-based non-binary LDPC decoders. Under Gaussian channel, the simplified APP calculation achieves the same performance that obtained with the exact APP
Kernels for EL ++ Description Logic Concepts

Various kernel functions have been introduced for structured data such as sequence data, graphs, text, images or vectors [1]. This paper deals with structured data in the form of description logic (DL) [2] knowledge bases. Description logics (DLs) are an important formalism as they provide theorethical foundations for the formal ontologies expressed in Web Ontology Language (OWL). Kernels for DLs may be exploited to solve a multitude of tasks that may be dealt with similarity-based methods, especially in the context of so-called Semantic Web applications. However, so far only very few kernels have been introduced for DLs, and no kernels for EL in particular. The contribution of this paper is in proposing two kernel functions for measuring similarity of concepts represented in the EL description logic [3] that are both based on the proposed canonical form of EL concepts. EL is an interesting fragment of DL languages family. It has been chosen as an underlying formalism for OWL 2 EL standard due to its practical computational features (tractable reasoning), and in the same time as a language that embraces the expressivity of several major real-life ontologies, especially from life sciences domain, such as SnoMed, Gene Ontology, or most of GALEN.
IFN‐γ production of adult rat astrocytes triggered by TNF‐α

IFN-γ plays an important role in modulating inflammatory responses within the CNS. The cell type responsible for IFN-γ production within the CNS is less well defined. We examined the production and regulation of IFN-γ by adult rat astrocytes. IFN-γ was hardly detectable in cultured astrocytes, while addition of TNF-α dose-dependently induced IFN-γ production by astrocytes. No IFN-γ production by astrocytes could be induced by LPS, IL-10 or TGF-β1. TNF-α-induced IFN-γ production by astrocytes was inhibited by treatment of astrocytes with TGF-β1, but not IL-10. TNF-α induced IFN-γ production by astrocytes was confirmed by using immunocytochemicl staining. The data suggest that astrocyte-derived IFN γ induced by TNF-α may participate in local immune reactions of the brain in an autocrine and paracrine fashion.
NEURAL NETWORKS FOR LOCATION PREDICTION IN MOBILE NETWORKS IN AES TECHNIQUES

--------------------------------------- ************************ ---------------------------------- Abstract: This paper addresses efficient hardware/software implementation approaches for the AES (Advanced Encryption Standard) algorithm and describes the design and performance testing algorithm for embedded system. Also, with the spread of reconfigurable hardware such as FPGAs (Field Programmable Gate Array) embedded cryptographic hardware became cost-effective. Nevertheless, it is worthy to note that nowadays, even hardwired cryptographic algorithms are not so safe. From another side, the self-reconfiguring platform is reported that enables an FPGA to dynamically reconfigure itself under the control of an embedded microprocessor. Hardware acceleration significantly increases the performance of embedded systems built on programmable logic. Allowing a FPGA-based MicroBlaze processor to self-select the coprocessors uses can help reduce area requirements and increase a system's versatility. The architecture proposed in this paper is an optimal hardware implementation algorithm and takes dynamic partially reconfigurable of FPGA. This implementation is good solution to preserve confidentiality and accessibility to the information in the numeric communication.
Cultural Nutritional Practices and Its Influence on Cognitive Development in Taru Location, Kwale County

Despite programmes being initiated to improve maternal and new-born health including the Baby Friendly Hospital Initiative (BFHs), a global programme aimed at enhancing optimal levels of maternal and infant feeding and care in health care facilities, the envisaged results of these programmes have not been satisfactorily achieved in Taru, Kinango Sub-County, Kwale County, Kenya due to several challenges. The purpose of this study was to determine the influence of cultural nutritional practices on cognitive development. This study was guided by Abraham Maslow’s Theory of Hierarchy of Needs. The research employed the descriptive survey design which is description of the state of the affairs as it exists and the researcher reports the findings. Questionnaires, interviews schedules and observation schedules were used to collect data. This study targeted a total of 795 respondents comprising of 694 lower primary pupils, 87 teachers and 8 head teachers and 6 health workers from 8 primary schools in Taru Location. Piloting of instruments was done in two different schools to ascertain their reliability and validity. The researcher used both quantitative and qualitative data analysis techniques for this study because both approaches complement each other. The data collected by use of the questionnaires were coded, assigned labels to variables’ categories and fed into the computer. The quantitative data were analysed quantitatively with the aid of Statistical Packages for Social Sciences (SPSS). Frequency tables, bar-graphs and pie charts were employed to present the information. Inferential statistics such as mean and standard deviation were utilized to summarize the relationship between independent and dependent variables. Qualitative data obtained from interview schedule were organized into themes and discussed based on research objectives. Findings revealed that malnutrition among pupils in lower primary schools caused an array of psychosocial problems like illness, brain damage, delayed physical growth, delayed development of motor skills and delayed intellectual development. The study concluded that nutrition status of pre-school children greatly affected their mastery skills, cognitive development and academic performance. The study recommended that school-based feeding programmes should be set up so that they play an important and effective role in improving nutritional status of school going children and hence their performance.
Treatment of acute myeloid leukemia: Present status and new directions III

Unchanged are the data from the numerous international multicenter trials published since 1981 covering both younger and older patients. The extract from these trials shows an increase of the mean complete remission rates between the 1980s and thereafter from 66% to 72% in younger and from 42 to 51% in older patients. Similarly, the rate of continuous complete remissions has increased over time from 17 to 34% in younger and 11 to 15% in older patients. During this period of time we also learnt about the effects of different treatment options. Thus, in our 1978 pilot study we made the observation that patients receiving any type of postremission chemotherapy achieved some long-term remission rate, whereas patients not receiving postremission chemotherapy all relapsed: mostly within the 1st year (fig.1) (1). Patients receiving post-remission consolidation and were randomized to receive prolonged maintenance chemotherapy showed a significantly longer relapsefree survival than those randomized to no further treatment (1). A similar randomization between prolonged maintenance and high-dose AraC consolidation groups resulted again in a significantly superior relapse-free survival in the maintenance arm (2). In the current AMLCG trial patients were randomized upfront between double induction with standard dose and highdose (TAD–HAM) chemotherapy versus two courses of high-dose chemotherapy (HAM–HAM). This big difference did not translate into a difference in the overall survival or in the relapse rate of either younger or older patients (3). The effect of autologous stem cell transplantation versus prolonged maintenance chemotherapy has also been investigated using upfront randomization. There was no difference in outcome neither by intention-to-treat nor by analysis as treated (3). In an attempt to possibly enhance the anti-leukemic potential of chemotherapy, patients assigned upfront randomization received G-CSF priming before and together with all chemotherapy courses during the first year. This modulation failed to change the outcome (4).
Comprehensive study on Opinion Mining for User Reviews for Mobile App Comparisons

Existing approaches for opinion mining for the most part center around re-sees from Amazon, space particular audit sites or online networking. Little e ﬀ orts have been spent on fine-grained analysis of opinions in audit texts from portable advanced cell applications. In this paper, we propose a perspective and subjective expression extraction demonstrate for German reviews from the Google Play store. We break down the effect of deferent highlights, including space particular word embeddings. Our best model design demonstrates a performance of 0.63 F1 for viewpoints and 0.62 F1 for subjective expressions. Further, we perform cross-area analyzes: A model prepared on Amazon reviews and tried on app reviews accomplishes bring down performance (drop by 27 rate focuses for angles and 15 rate focuses for subjective expressions). The outcomes demonstrate that there are solid deference’s in the way closely-held convictions on item angles are communicated in the specific spaces.
Targeting cancer stem cells in gastric cancer

: Gastric cancer (GC) remains a leading cause of cancer-related deaths worldwide. Despite the recent advance of anticancer drugs and the development of molecular-targeted drugs, the prognosis of patients with advanced GC remains poor, especially in Western countries, and is mainly implicated in tumor relapse and metastasis. Cancer stem cells are selectively capable of tumor initiation and implicated in tumor relapse and metastasis, thus governing the prognosis of GC patients. Recent investigations have indicated that gastric cancer stem cells (GCSCs) are likely to be the most crucial target in GC treatments. Therefore, the identification of key molecules related to GCSCs is expected to contribute toward the extermination of GC. This review presents the current molecular-targeted therapies against GC according to recent clinical trials and the findings regarding GCSCs and their maintenance that will enable the development of novel therapeutic strategies for patients with GC.
Cultural Information Within the Context of the Malaysian National Information Policy

AHSTRAK Kerras kerja illl 1/J(,lIlbincol1gkllll pelhagai aspek dasar negara berkaitan dengan kebudayaan dan hubungkaitnya dengan Dasar MaklulI/at Negara. Perkembollgall teknologi reiah membawa kepada pelbagai perubahan da/am saluran penyebaran dall penggl.llw(/n lIIakfulII(ft dan ilmu seterusllya merubah budaya sehuah masyarakat. Dosor Maklumat Negara perlu mengambilkira pembel1111knl1 Injraslruklur Maklumar dan Ilmu dalam /legaro yang akan berangkaian denagn lnfrastruklur Maklumot Sertl/1/al/ serla juga In! rastruktur Maklumat Global. Bagi maksud illi, Malaysia periu menggalakkan sistem peluioktlmellrasian, Jwmbel1lukclll sumber ilmu digital dan pangkalan data khususIlya mellgenai kebudayaan. Malaysia kaya dengan sumber mak/uma/ berkaitan dengan kebudayaan tempatan, ! amlln begitu kebanyakan sumba ini masih dalam benluk lisan. dan be/11m laakam secara siSlematik dan didokumenkan untuk kemlldahan rlljukan yang boleh dicapai secm'a elektronik. Kerlas illi jllga ada menyenaraikan beberapa pangkalan data dan sumber maklumat mengenai kcbudayaan dari lamanweb dalall1l1egara serra menjelaskall secara sepinras lalu usaha yang perfu unruk pembentukan Injraslruklllr Maklwnat dan 11111/,/ KeballgSQQll dan usaha ke arah pengwujudan rangkaian maklumat serantau dan secara global,
FACIAL ANIMATION AND MULTIPLE HIERARCHICAL MODELS FOR AGE AND GENDER PREDICT THE FEED FORWARD PROPAGATION AND CASCADE PROPAGATION

- A person ’ s face provides a lot of information such as age, gender, and identity. Faces play an important role in the estimation/prediction of the age and gender of persons, just by looking at their face. Perceiving human faces and modeling the distinctive features of human faces that contribute most toward face recognition are some of the challenges faced by computer vision and psychophysics researchers. There are many methods have been proposed in the literature for the facial features for age and gender classification. In this research, an attempt is made to classify human age and gender using feed forward propagation neural networks in coarser level. Further final classification is done using 3-sigma control limits in finer level. Proposed approach efficiently classifies three age groups including children, middle-aged adults, and old-aged adults. Similarly two gender groups classified into male and female by the proposed method. The performance of the system is further improved by employing multiple hierarchical decision using three sigma control limits applied on the output of the neural network classifier. The mean and standard deviation has been considered on the output generated from the neural network classifier, and three sigma control limits has been applied to define the range of values for the specific category of age and gender. The efficiency of the system is demonstrated through the experimental results using benchmark database images.
Effect and Mechanism of Qitongyangqutan Decoction on Myocardial in Rats with Chronic Heart Failure* To observe the protective effect and mechanism of different doses of Tongyang Decoction on myocardial injury in rats with chronic heart failure. 90 healthy Wister rats

摘要 目的:观察不同剂量祛痰通阳汤对慢性心衰大鼠心肌损伤的保护作用及可能机制。 方法:将 90只Wistar大鼠随机均分正常 组、模型组、卡托普利组、祛痰通阳汤低、中、高剂量六组。 为建立慢性心力衰竭模型,除正常组外的五组大鼠均以 2ml/kg给予阿霉 素腹腔,一周 1次,共 6周。 注射造模成功后次日进行灌胃给予对应的不同药物,连续给药治疗四周后,应用 ELISA法测定各组大 鼠血浆脑尿钠肽(Brain natriuretic peptide,BNP)水平,称重计算心脏质量指数并采用投射电镜观察心肌细胞结构,通过实时荧光 定量 PCR法测定检测 Kelch样环氧氯丙烷相关蛋白 -1 (epoxy chloropro-pane Kelch sample related protein-1,Keap1) 和核因子 E2 相关因子 2(nuclearfactor erythroid-2 related factor 2,Nrf2)mRNA的表达。 结果:1. 电镜结果显示:正常组肌丝排列规则,肌节结构清 晰,心肌细胞线粒体清晰且形态正常;细胞核发育良好,无空泡以及集块现象。 模型组肌原纤维排列紊乱,心肌细胞线粒体形态异 常,排列不齐,增生明显,有空泡现象形成。 卡托普利组及祛痰通阳汤高剂量组电镜肌原纤维排列基本整齐,线粒体未见明显肿 胀,线粒体嵴密集,优于中药低剂量组及中剂量组。 2. 卡托普利组、中药高剂量组大鼠血浆 BNP水平较模型组显著降低(P<0.01)。 3. 与模型组相比,中药高剂量组和卡托普利组心脏质量指数均显著降低(P<0.05)。 4. 卡托普利组及祛痰通阳汤高剂量组心肌组织 Keap1 mRNA表达与模型组相比显著降低(P<0.05);卡托普利组及祛痰通阳汤高剂量组心肌组织 Nrf2 mRNA表达与模型组的相 比显著提高(P<0.05)。 结论:高剂量祛痰通阳汤可显著减轻慢性心衰大鼠的心肌损伤,可能与抑制 Keap1 mRNA的表达及增强 Nrf2 mRNA表达,进而抗心肌氧化损伤有关。 关键词:慢性心力衰竭;祛痰通阳汤;BNP;抗氧化;心脏重构 中图分类号:R-33;R242;R541.61 文献标识码:A 文章编号:1673-6273(2019)12-2267-05
A Demand Generation Model to Stimulate Tourists’ Purchase Intent in Zimbambwe

Zimbabwe is host to one of the natural wonders of the world; the Victoria Falls, thus tourism is one of the four pillars anchoring the revival of the economy of Zimbabwe. Tourism has played a very significant role in the development of the national economy taking advantage of its most diversified tourism resource base. Focus of this study is on Micro, Small and Medium enterprises (MSMEs) lodges in Victoria Falls. The crux of this paper is to stimulate demand for hotel services from both international and local tourists in line with social services and poverty eradication for MSME lodges, which in turn may reduce joblessness in the country’s MSME lodges. Hotel services are perishable therefore inevitably lead to demand and supply challenges for managers. The study seeks to encompass demand management strategies from a marketing and economics perspective. The researchers therefore propose a demand generation model for stimulating tourist purchase intent.
SOME POPULATION FEATURES OF REPRODUCTIVE CAPACITY IN NEODIPRION SWAINEI (HYMENOPTERA: DIPRIONIDAE)

Abstract Egg production in Neodiprion swainei may be severely reduced by food quality and quantity, tachinid parasitism, and prolonged diapause. Since these and other agents may affect the sawfly both lethally and sublethally and may operate differentially against males and females, population losses are not adequately expressed in terms of numbers of individuals. However, reduction of the potential number of eggs the population could produce provides an integrated measure of these effects. One example, from an experiment in which larvae were fed various quantities and types of foliage, demonstrates that loss of reproductive potential is several times as great as the loss of individuals and indicates that the latter seriously underestimates the importance of food in population events.Cocoon diameter and fecundity are closely related. In a Saguenay Valley population, fecundity, cocoon diameter, and deviations from the regression line were bimodally distributed, indicating a mixture of two types of individuals differing in egg production characteristics. Families within a single population differed from each other by as much as 14 eggs in the elevation of the regression line; this was more than the observed difference in elevation between populations. A single regression equation satisfactorily predicted fecundity in one Quebec and a Wisconsin population, but was unsuitable for two other Quebec populations, each of which required its own equation. Among insects of common size, mean egg length varied inversely with fecundity, but it is uncertain whether differences in egg size were responsible for variation in the fecundity-cocoon diameter relationship. Résumé La Tenthrède de Swaine (Neodiprion swainei Midd.) produit plus ou moins d’oeufs selon la qualité et la quantité de sa nourriture, le degré de parasitisme par les Tachinidés et la durée de la diapause. Vu que ces agents affectent les Tenthrèdes parfois mortellement, parfois presque mortellement et peuvent exercer différemment leur influence sur l’un ou l’autre sexe, les pertes de population ne sont pas adéquatement exprimées en nombre d’individus. Plutôt devons-nous les exprimer par le potentiel de production d’oeufs. Par exemple, dans un cas où les larves ont été nourries avec différentes quantités et types de feuillage, la diminution d’oeufs est devenue plusieurs fois plus forte que la mortalité d’individus; ce qui fait conclure que la quantité de nourriture disponible influe décidément sur les fluctuations de population.
TransForm: Formally Specifying Transistency Models and Synthesizing Enhanced Litmus Tests

Memory consistency models (MCMs) specify the legal ordering and visibility of shared memory accesses in a parallel program. Traditionally, instruction set architecture (ISA) MCMs assume that relevant program-visible memory ordering behaviors only result from shared memory interactions that take place between user-level program instructions. This assumption fails to account for virtual memory (VM) implementations that may result in additional shared memory interactions between user-level program instructions and both 1) system-level operations (e.g., address remappings and translation lookaside buffer invalidations initiated by system calls) and 2) hardware-level operations (e.g., hardware page table walks and dirty bit updates) during a user-level program’ s execution. These additional shared memory interactions can impact the observable memory ordering behaviors of user-level programs. Thus, memory transistency models (MTMs) have been coined as a superset of MCMs to additionally articulate VM-aware consistency rules. However, no prior work has enabled formal MTM specifications, nor methods to support their automated analysis.To fill the above gap, this paper presents the TransForm framework. First, TransForm features an axiomatic vocabulary for formally specifying MTMs. Second, TransForm includes a synthesis engine to support the automated generation of litmus tests enhanced with MTM features (i.e., enhanced litmus tests, or ELTs) when supplied with a TransForm MTM specification. As a case study, we formally define an estimated MTM for Intel x86 processors, called x86t_elt, that is based on observations made by an ELT-based evaluation of an Intel x86 MTM implementation from prior work and available public documentation [23], [29]. Given x86t_elt and a synthesis bound (on program size) as input, TransForm’ s synthesis engine successfully produces a complete set of ELTs (within a 9-instruction bound) including relevant hand-curated ELTs from prior work, plus 100 more.