Miracle-dz/UniFAR-FTUs huggingface dataset:
EMBRYOLOGICAL STUDIES OF STIPAGROSTIS PLUMOSA (L.)

Embryological studies of Stipagrostis plumosa (L.) Munro ex Anderson have been made. The development of anther wall is Monocotyledonous type. The tapetal cell is uni-nucleate and glandular. Middle layer is ephemeral and endothecial cells develop fibrous thickenings. The microspore mother cells undergo successive meiotic divisions and result in the formation of isobilateral microspore tetrads. The pollen grains are triporate and shed at 3-celled stage. The ovule is anatropous and bitegmic. The chalazal megaspore of a linear tetrad develops into Polygonum type of embryosac. Sometimes, the antipodal cells vary from 3-7 in number.
THE IMPACT OF TRANSACTIONAL LEADERSHIP ON THE PERFORMANCE OF EMPLOYEES IN KENYA: THE CASE OF MUMIAS

Transactional leadership as viewed by Kunhert (1994) involves leaders exchanging things of value with subordinates to advance their own as well as their subordinates' agenda. Their level of influence stands as long as subordinates do what the leader wants. It, therefore, goes without say that this form of leadership does not individualize the needs of subordinates nor focus on their personal development. This study aimed at showing the impacts that this form of leadership has on the employees of an organization in terms of their performance rate. Its main objective was to assess whether rewards and sanctions were in any way tied to performance and to assess the extent to which a superior's intervention before and after a problem occurs affects performance. It was a representative study in design with a cross sectional component whereby all relevant parties were in olved. The study population was specific employees of Mumias Sugar Company selected for the study. The employees were those that had been on permanent employment for a period of not less than 3 years, this is because in three years it was assumed that an employee had been able to fit into the organization's systems and culture. Questionnaires were used to collect relevant data. A minimum sample of 50employees randomly selected participated A systematic sampling method was used to select the employees for data collection. The employees selected were interviewed by use of a questionnaire during their normal working hours. The data collected was then analyzed using SPSS computer software then a report written and presented in form of text, tables and figures. All important and necessary ethical issues were taken into consideration and strictly observed.
Performance Evaluation of Distributed Deep Learning Frameworks in Cloud Environment

 Abstract — 2016 has become the year of the Artificial Intelligence explosion. AI technologies are getting more and more matured that most world well-known tech giants are making large investment to increase the capabilities in AI. Machine learning is the science of getting computers to act without being explicitly programmed, and deep learning is a subset of machine learning that uses deep neural network to train a machine to learn features directly from data. Deep learning realizes many machine learning applications which expand the field of AI. At the present time, deep learning frameworks have been widely deployed on servers for deep learning applications in both academia and industry. In training deep neural networks, there are many standard processes or algorithms, but the performance of different frameworks might be different. In this paper we evaluate the running performance of two state-of-the-art distributed deep learning frameworks that are running training calculation in parallel over multi GPU and multi nodes in our cloud environment. We evaluate the training performance of the frameworks with ResNet-50 convolutional neural network, and we analyze what factors that result in the performance among both distributed frameworks as well. Through the experimental analysis, we identify the overheads which could be further optimized. The main contribution is that the evaluation results provide further optimization directions in both performance tuning and algorithmic design.
A TL AN TA Elimination of Gender-Related Employment Disparities through Statistical Process Control

This paper proposes a novel approach that has the potential to hasten the eradication of gender disparities in employment. This approach relies upon the concept of statistical process control (SPC) to more systematically remedy disparate employment outcomes for women. SPC also serves as a new vehicle for conceptualizing the influence of industry on equal employment opportunity (EEO) outcomes. Using data from U.S. Current Population Surveys, we compare industries on EEO performance as assessed by a recently developed Systemic Gender Disparity Scorecard. The theory and practice of SPC suggest that further improvement, and by far the greater opportunity for gender-related EEO progress, necessitates fundamental changes in each industry’s practices and norms that serve as barriers to gender parity. We recommend more resources to support collaboration between employers and EEO enforcement agencies. JEL classification: J78, M12
Generalised Calogero-Moser Models and Universal Lax Pair Operators

Calogero-Moser models can be generalised for all of the finite reflection groups. These include models based on non-crystallographic root systems, that is the root systems of the finite reflection groups, H3, H4, and the dihedral group I2(m), besides the well-known ones based on crystallographic root systems, namely those associated with Lie algebras. Universal Lax pair operators for all of the generalised Calogero-Moser models and for any choices of the potentials are constructed as linear combinations of the reflection operators. The consistency conditions are reduced to functional equations for the coefficient functions of the reflection operators in the Lax pair. There are only four types of such functional equations corresponding to the two-dimensional sub-root systems, A2, B2, G2, and I2(m). The root type and the minimal type Lax pairs, derived in our previous papers, are given as the simplest representations. The spectral parameter dependence plays an important role in the Lax pair operators, which bear a strong resemblance to the Dunkl operators, a powerful tool for solving quantum Calogero-Moser models.
Alendronate Effect in RANKL Concentration at Ovariectomized Sprague Dawley Rat

In this study, we analyze the relationship between alendronate concentration and serumRANKL concentration 24 Sprague Dawley female rats that had given birth, aged 5 months were performed bilateral ovariectomy. Rats were divided into four groups. Groups A, B, C were treated with subcutaneous injection 4 times per week with alendronate 0.08 ml, 0.29 ml, 0.58 ml. Group O were not given alendronate, and were categorized as control group. The RANKL concentration were measured quantitatively with Enzyme-linked Immunosorbent Assays (ELISA) via blood sampling that were taken at before ovariectomy (day 0), prior to implantation (day 15), and intracardially after euthanasia (day 70). As the result from study above, high dosage of alendronate there was no decrease in RANKL concentration, but there was a significant change in RANKL concentration. thus the hypothesis that the higher the dose of alendronate the higher the decrease of RANKL cannot be accepted There is a relationship between high dosage of alendronate with the change in RANKL concentrations. The greatest RANKL changes were at concentrations of 35 mg (0.29 ml) and 70 mg (0.58 ml). Experimental article (J Int Dent Med Res 2018; 11(3): 846-849)
Overview of search-based optimization algorithms used in software engineering

Search-based software engineering is a novel and an emerging area of software engineering. It consists of search-based optimization algorithms used in various problem solving applications. Although search-based software engineering is becoming used in almost every area of software engineering, there are still areas that exploit its advantages less often than others. This paper presents how to use the search-based software engineering algorithms and which problem domains can they be used upon. It also explores a potential scope of further research within the area itself.
NEW BASAL READER PROGRAMS

A study examined th phonics instruction that five basal reader series provide from kindergarten through grade six. The five basal programs (designated as Series A through E) that were examined are both similar and dissimilar in the recommendations they make for phonics. One series covers as many as 129 letter-sound correspondences; another covers 87. All five series pay considerable attention to consonant sounds in their kindergarten manuals and to numerous ways to spell long vowel sounds. Two of the five series deal with blending as a means for identifying words; another uses blending to emphasize whatever sound is receiving attention. Either way, the blending is done mostly by the teacher, not the children. The other two programs, neither of which identifies sounds directly, do not refer to blending. An omission in all five series is suggestions for teaching children how to use letter-sound correspondences with flexibility. Four of the five series teach a few generalizations for dividing words into syllables; the fifth series omits generalizations for syllabication. All five programs fail to deal with phonics in a way that makes its value for reading apparent to children. Instead, the programs succeed in demonstrating how phonics instruction can be a waste of time. Findings reveal the wide gap that exists between the phonics that is taught and the recommendations that are made for dealing with new vocabulary. (Seven tables of data and five figures are included.) (MG) ****************************************************************x****** Reproductions supplied by EDRS are the best that can be maue from the original document. *******************************A****x**********************************
Potensi ekonomi Indonesia saat ini mulai diakui oleh dunia internasional sebagai satu dari beberapa negara yang mampu menjadi kekuatan ekonomi global dimasa mendatang.Beberapa syarat perlu dipenuhi Indonesia untuk bisa mewujudkan hal tersebut diantaranya struktur ekonomi yang tangguh,

Endless innovation is needed to steer the company in a better direction especially in the field of energy utilization and service quality. This study aims to examine the relationship between organizational climate and innovative behavior in employees of PT. PLN Persero West Java Distribution APJ Bogor. Innovative behavior is the behavior of organizational members to create, process, and implement new ideas, including products, technologies, procedures, and work processes aimed at improving the effectiveness of organizational members' performance and benefiting the organization. The sample in this research is 56 employees of PT. PLN Persero West Java Distribution APJ Bogor. The sampling technique used in this study is non-probability convenience sampling technique. The measuring instruments used in this study are Organizational Climate Scale (36 aitem, α = .93) and Innovative Behavioral Scale (32 aitem, α = .926). The method of analysis used in this study is simple regression analysis. The results of this study indicate a positive and significant relationship between organizational climate and innovative behavior (rxy = .58; p <.001), meaning the more positive organizational climate in the company, the higher the innovative behavior that is shown by the employee. Organizational climate contributes effectively 33.6% to innovative behavior.
A Review for Face Recognition using Gabor Wavelet Transform

Because of the vigor of Gabor elements against nearby bends caused by difference of light, expression and posture, they have been effectively connected for face acknowledgment. The Facial Recognition Technology (FERET) assessment and the late Face Verification Competition have seen the top execution of Gabor highlight based techniques. This paper expects to give a point by point review of best in class 2D confront acknowledgment calculations utilizing Gabor wavelets for highlight extraction. Existing issues are secured and conceivable arrangements are recommended.
The Rqc 2 / Tae 2 subunit of the Ribosome-Associated Quality Control ( RQC ) 1 complex marks ribosome-stalled nascent polypeptide chains for aggregation 2

29 30 Ribosome stalling during translation can potentially be harmful, and is surveyed by a conserved 31 quality control pathway that targets the associated mRNA and nascent polypeptide chain (NC). 32 In this pathway, the ribosome-associated quality control (RQC) complex promotes the 33 ubiquitylation and degradation of NCs remaining stalled in the 60S subunit. NC stalling is 34 recognized by the Rqc2/Tae2 RQC subunit, which also stabilizes binding of the E3 ligase, 35 Listerin/Ltn1. Additionally, Rqc2 modifies stalled NCs with a carboxy-terminal, Alaand Thr36 containing extension—the “CAT tail. ” However, the function of CAT tails and fate of CAT tail37 modified (“CATylated”) NCs has remained unknown. Here we show that CATylation mediates 38 formation of detergent-insoluble NC aggregates. CATylation and aggregation of NCs could be 39 observed either by inactivating Ltn1 or by analyzing NCs with limited ubiquitylation potential, 40 suggesting that inefficient targeting by Ltn1 favors the Rqc2-mediated reaction. These findings 41 uncover a translational stalling-dependent protein aggregation mechanism, and provide evidence 42 that proteins can become specifically marked for aggregation. 43
1 In Vivo Methods to Study Protein-Protein Interactions 2 as Key Players in Mycobacterium tuberculosis 3 Virulence 4

Studies on Protein-Protein interactions (PPI) can be helpful for the annotation of unknown 10 protein functions and for the understanding of cellular processes, such as specific virulence 11 mechanisms developed by bacterial pathogens. In that context, several methods have been 12 extensively used in recent years for the characterization of Mycobacterium tuberculosis PPI to further 13 decipher TB pathogenesis. This review aims at compiling the most striking results based on in vivo 14 methods (yeast and bacterial two-hybrid systems, protein complementation assays) for the specific 15 study of PPI in mycobacteria. Moreover, newly developed methods, such as in-cell native mass 16 resonance and proximity-dependent biotinylation identification, will have a deep impact on future 17 mycobacterial research, as they are able to perform dynamic (transient interactions) and integrative 18 (multiprotein complexes) analyses. 19
Estudo da mortalidade na fratura do fêmur proximal em idosos

Foi feito um estudo de revisao sobre a mortalidade na fratura do femur proximal em idosos com base nas publicacoes mais relevantes do periodo de 1998 a 2002. Foram incluidos 25 artigos relacionados ao assunto, selecionados com base nos bancos de dados Medline e Cochrane, totalizando 24.062 pacientes com mais de 60 anos de idade, que tiveram fratura do femur proximal. Quatorze estudos foram prospectivos, oito retrospectivos e tres revisoes sistematicas. As taxas medias de mortalidade foram de 5,5% durante a internacao hospitalar, 4,7% ao fim de um mes de seguimento, 11,9% com tres meses, 10,8% com seis meses, 19,2% com um ano e 24,9% com dois anos. Foram identificados quatro fatores intimamente relacionados com uma maior mortalidade nestes pacientes: idade avancada, grande numero de doencas associadas, sexo masculino e presenca de deficiencias cognitivas. Outros fatores mostraram uma fraca correlacao com a mortalidade como capacidade deambulatoria previa, indice de risco anestesico da Sociedade Americana de Anestesia (ASA), anemia, hipoalbuminemia, linfopenia e existencia de AVC previo. Os fatores como tempo previo a cirurgia, tipo de anestesia utilizada e tipo de osteossintese empregada nao mostraram ter interferencia.
Amultidisciplinary European guideline for tinnitus: diagnostics, assessment, and treatment Contributors

2 Adelante Centre of Expertise in Rehabilitation and Audiology, Hoensbroek, The Netherlands 3 Tinnituscenter, Charité—UniversitätsmedizinBerlin, Berlin, Germany 4 ENT department, Hospital Cuf Infante Santo, Lisbon, Portugal 5 1st Department of Otolaryngology, National and Kapodistrian University of Athens, Athens, Greece Malta University, Valetta, Malta 7 Sensory systems and neuroplasticity, Aix-Marseille Université, Marseille, France National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Ropewalk House, University of Nottingham, Nottingham, United Kingdom Otology and Hearing Group, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Berlin, Germany
Structural insights into cis element recognition of non-polyadenylated RNAs by the Nab 3-RRM

Transcription termination of non-polyadenylated RNAs in Saccharomyces cerevisiae occurs through the action of the Nrd1–Nab3–Sen1 complex. Part of the decision to terminate via this pathway occurs via direct recognition of sequences within the nascent transcript by RNA recognition motifs (RRMs) within Nrd1 and Nab3. Here we present the 1.6 Å structure of Nab3-RRM bound to its UCUU recognition sequence. The crystal structure reveals clear density for a UCU trinucleotide and a fourth putative U binding site. Nab3-RRM establishes a clear preference for the central cytidine of the UCUU motif, which forms pseudo-base pairing interactions primarily through hydrogen bonds to main chain atoms and one serine hydroxyl group. Specificity for the flanking uridines is less defined; however, binding experiments confirm that these residues are also important for high affinity binding. Comparison of the Nab3-RRM to other structures of RRMs bound to polypyrimidine RNAs showed that this mode of recognition is similar to what is observed for the polypyrimidine-tract binding RRMs, and that the serine residue involved in pseudo-base pairing is only found in RRMs that bind to polypyrimidine RNAs that contain a cytosine base, suggesting a possible mechanism for discriminating between cytosine and uracil bases in RRMs that bind to polypyrimidine-containing RNA.
Differential Search Algorithm with Levy Flight

In solution of optimization problems, metaheuristic algorithms inspired from nature widely took place. These algorithms (e. g. Cuckoo Search, Bat, and Artificial Bee Colony) imitate movement behaviour of superorganisms to obtain optimum solution. One of recent naturally inspired algorithm, differential search algorithm has got successful results on many common test problems. In this algorithm, a type of random walk, Brownian motion is applied to simulate migration of superorganism which looks for food. In this paper, instead of Brownian motion another random walk model, Levy flight is integrated with differential search algorithm to gain angle to search path. New algorithm is compared to the original DS algorithm by testing on optimization test problems, rastrigin, rosenbrock and sphere.
DIMENSIONAL ACCURACY OF TITANIUM DIRECT METAL LASER SINTERED PARTS

To address concerns regarding quality of production parts created using the Additive Manufacturing (AM) process, a study was conducted to quantify the dimensional accuracy of said parts. Fourteen AM builds were manufactured in Ti-6Al-4V material across two EOS DMLS machines (EOSINT M 280 and EOS M 290). In addition to studying the impact of machine-tomachine variability, other factors potentially impacting final dimensional accuracy were studied, including: powder state (virgin or reused); post-processing steps (heat treatment and part removal from substrate); location of part on substrate; and nominal part size. The results of the dimensional analysis showed that the individual machine itself was the dominant factor impacting dimensional accuracy. Also, a non-linear relationship between dimensional accuracy and nominal part size was identified, which would require a more complex machine calibration technique to correct.
Sufficient Conditions for Convergence of Max-Product for Solving Linear Programs

Loopy Belief Propagation (LBP) and its variants (e.g. the max-product and min-sum algorithms) have been identified as a useful heuristic for solving a wide variety of hard problems on graphical models arising in fields as diverse as coding theory, machine learning, computer vision, statistical physics, and signals processing [1]. However, the tremendous empirical success of max-product and LBP stands in stark contrast to the dearth of theoretical guarantees on their performance. Although Belief Propagation is guaranteed to converge to the correct answer on graphical models with at most a single cycle, max-product is not guaranteed to converge in general, and may not give the correct answer even when it does converge.
Qualitative Concurrent Stochastic Games with Imperfect Information ⋆

We study a model of games that combines concurrency, imperfect information and stochastic aspects. Those are finite states games in which, at each round, the two players choose, simultaneously and independently, an action. Then a successor state is chosen accordingly to some fixed probability distribution depending on the previous state and on the pair of actions chosen by the players. Imperfect information is modeled as follows: both players have an equivalence relation over states and, instead of observing the exact state, they only know to which equivalence class it belongs. Therefore, if two partial plays are indistinguishable by some player, he should behave the same in both of them. We consider reachability (does the play eventually visit a final state? ) and Büchi objective (does the play visit infinitely often a final state? ). Our main contribution is to prove that the following problem is complete for 2-ExpTime: decide whether the first player has a strategy that ensures her to almost-surely win against any possible strategy of her oponent. We also characterise those strategies needed by the first player to almost-surely win.
Mitotic phosphorylation by NEK 6 and NEK 7 reduces microtubule affinity of EML 4 to promote chromosome congression

Department of Molecular and Cell Biology, University of Leicester, Lancaster Road, Leicester LE1 9HN, U.K. Institute of Structural and Molecular Biology, Birkbeck College, Malet Street, London WC1E 7HX, U.K. Astbury Centre for Structural Molecular Biology, Faculty of Biological Sciences, University of Leeds, Leeds LS2 9JT, U.K. Centre for Core Biotechnology Services, University of Leicester, University Road, Leicester, LE1 7RH, UK. Centre for Mechanochemical Cell Biology, Warwick Medical School, University of Warwick, Coventry CV4 7AL, U.K.
Análisis cualitativo de los determinantes de la innovación en una economía emergente Qualitative approach about innovation determinants in an emerging economy

Manufacturing companies strive to be innovative and competitive. These companies are very important in an emerging econo- my due to their contribution to a country’s gross domestic product and the generation of jobs. Therefore, the objective of this ar-ticle is to identify the internal and external factors that improve the innovation capacity of Peruvian manufacturing companies and, in turn, favor their competitiveness. A qualitative approach was applied based on the Glaser «six-C model», which is part of the grounded theory; for this, the managers of the Peruvian manufacturing companies were interviewed. From the analysis and processing of this data with Atlas ti® qualitative analysis software (QDA), it was found that suppliers and customers provide valuable information to innovate; additionally, the application of the design and the acquisition of machinery favor the innovations of these companies. To that extent, this qualitative study contributes to identify those factors that help Peruvian manufacturing companies improve their innovation capacity. Thus, manufacturing companies’ managers must identify those factors that favor the implementation of innovations to make their companies more competitive.