Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH BUDAYA PERUSAHAAN TERHADAP MOTIVASI KERJA DAN DAMPAKNYA PADA KINERJA KARYAWAN

Tujuan artikel ini adalah untuk mengetahui sejauh mana pengaruh budaya perusahaan terhadap motivasi kerja dan dampaknya pada kinerja karyawan. Metode yang digunakan dalam penelitian ini adalah survey explanatory, sedangkan teknis analisis data, yaitu uji validitas, uji reabilitas, statistik deskriptif, Analisis Statistik Induktif (Inferensial) dengan analisis jalur. Hasil penelitian menunjukkan bahwa (1) Budaya Perusahaan berpengaruh positif terhadap motivasi kerja. Artinya jika budaya perusahaan ditingkatkan, maka motivasi kerjaakan meningkat pula. Dengan demikian hipotesis 1 dapat teruji kebenarannya atau signifikan karena thitung > ttabel dengan p-Value 0,000 atau dibawah 0,05. (2) Motivasi kerja berpengaruh positif terhadap kinerja karyawan. Artinya jika motivasi kerja ditingkatkan, maka kinerja karyawanakan meningkat pula. Dengan demikian hipotesis 2 dapat teruji kebenarannya atau signifikan karena thitung > ttabel dengan p-Value 0,000 atau dibawah 0,05. (3)budaya perusahaan berpengaruh positif terhadap kinerja karyawan. Artinya jika budaya perusahaan ditingkatkan, maka kinerja karyawanakan meningkat pula. Dengan demikian hipotesis 3 dapat teruji kebenarannya atau signifikan karena t hitung >t tabel dengan p-Value 0,001 atau dibawah 0,05.
Imbalanced Learning Based on Data-Partition and SMOTE

Classification of data with imbalanced class distribution has encountered a significant drawback by most conventional classification learning methods which assume a relatively balanced class distribution. This paper proposes a novel classification method based on data-partition and SMOTE for imbalanced learning. The proposed method differs from conventional ones in both the learning and prediction stages. For the learning stage, the proposed method uses the following three steps to learn a class-imbalance oriented model: (1) partitioning the majority class into several clusters using data partition methods such as K-Means, (2) constructing a novel training set using SMOTE on each data set obtained by merging each cluster with the minority class, and (3) learning a classification model on each training set using convention classification learning methods including decision tree, SVM and neural network. Therefore, a classifier repository consisting of several classification models is constructed. With respect to the prediction stage, for a given example to be classified, the proposed method uses the partition model constructed in the learning stage to select a model from the classifier repository to predict the example. Comprehensive experiments on KEEL data sets show that the proposed method outperforms some other existing methods on evaluation measures of recall, g-mean, f-measure and AUC.
Assessment and comparison of bacterial load levels determined by quantitative amplifications in blood culture-positive and negative neonatal sepsis

ABSTRACT Bacterial sepsis remains a major cause of mortality and blood cultures are the gold standard of laboratory diagnosis even though they lack sensitivity in neonates. Culturenegative sepsis, also known as clinical sepsis, has long been considered a diagnosis in neonatal intensive care units because, as well as culture-positive infants, culture-negative neonates have worse prognosis in comparison with non-infected ones. Quantitative amplifications are used to detect bacterial infections in neonates but results are considered only in a qualitative way (positive or negative). The aim of the present study was to determine and compare bacterial load levels in blood culture-positive and culture-negative neonatal sepsis. Seventy neonates with clinical and laboratory evidence of infection admitted at three neonatal intensive care units were classified as blood culture-positive or culture-negative. Blood samples obtained at the same time of blood cultures had bacterial load levels assessed through a 16S rDNA qPCR. Blood cultures were positive in 29 cases (41.4%) and qPCR in 64 (91.4%). In the 29 culture-positive cases, 100% were also positive by qPCR, while in the 41 culture-negative cases, 35 (85.4%) were positive by qPCR. Bacterial load levels were in general < 50 CFU/mL, but were significantly higher in culture-positive cases (Mann-Whitney, p = 0.013), although clinical and laboratory findings were similar, excepting for deaths. In conclusion, the present study has shown that blood culture-negative neonates have lower bacteria load levels in their bloodstream when compared to blood culture-positive infants.
Can probiotic cleaning solutions replace chemical disinfectants in dental clinics?

ABSTRACT Objectives: We aim to assess the antibacterial effectiveness of probiotic cleaning in a dental clinic at the University Dental Hospital Sharjah (UDHS), UAE. Materials and Methods: The current cleaning protocol of UDHS was evaluated by the surface swabbing of three dental clinics routinely cleaned using regular chemical disinfectants. Then, a new probiotic cleaning solution containing Bacillus subtilis was applied for 3 weeks in a selected clinic. Bacteria were grown onto selective culture media for colony counting from surfaces cleaned with probiotic solution compared to those obtained from the same surfaces cleaned with the regular chemical solutions. Isolates identity was confirmed by biochemical tests or polymerase chain reaction. Results: There was a significant reduction of the bacterial counts of various bacterial species (Staphylococci, Streptococci, and Gram-negative rods) from almost all the surfaces in the dental clinic after the application of the probiotic solution compared to the same surfaces cleaned with the regular chemical solutions. However, the antibiotic resistance rates were not significantly reduced within the short period of 3 weeks of using the new probiotic cleaning product. Conclusions: This study demonstrated that the use of probiotic cleaning is effective in reducing microbial growth in dental settings. This approach may be tested further to examine the long-term effect and to evaluate the opportunity of applying this novel biotechnology as part of the infection control routine in dental settings instead of the chemical disinfectants which are known to cause serious health problems. This is the first study testing the application of probiotic-based solution in dental settings.
Virtual machine design for parallel dynamic programming languages

To leverage the benefits of modern hardware, dynamic languages must support parallelism, and parallelism requires a virtual machine (VM) capable of parallel execution — a parallel VM. However, unrestricted concurrency and the dynamism of dynamic languages pose great challenges to the implementation of parallel VMs. In a dynamic language, a program changing itself is part of the language model. To help the VM, languages often choose memory models (MM) that weaken consistency guarantees. With lesser guarantees, local program state cannot be affected by every concurrent state change. And less interference allows a VM to make local assumptions about the program state which are not immediately violated. These local assumptions are essential for a VM’s just-in-time compiler for delivering state-of-the-art VM performance. Unfortunately, some dynamic languages employ MMs that give exceedingly strong consistency guarantees and thereby hinder the development of parallel VMs. Such is the case in particular for languages that depend on a global interpreter lock, which mandates a MM with sequential consistency and instruction atomicity. In this paper, we reflect on a first implementation of the Parallel RPython execution model, which facilitates the development of parallel VMs by decoupling language semantics from the synchronization mechanism used within the VM. The implementation addresses the challenges imposed by strong MMs through strict isolation of concurrent computations. This isolation builds on transactional parallel worlds, which are implemented with a novel combination of software techniques and the capabilities of modern hardware. We evaluate a set of parallel Python programs on a parallel VM that relies on Parallel RPython’s implementation. Compared with a serial baseline VM that relies on a global interpreter lock, the parallel VM achieves speedups of up to 7.5× on 8 CPU cores. The evaluation shows that our realization of Parallel RPython meets the challenges of dynamic languages, and that it can serve as a solid foundation for the construction of parallel dynamic language VMs.
Bioscience of Microbiota, Food and Health

The gastrointestinal tract is believed to be colonized rapidly with bacteria immediately from birth. The source of these intestinal microbes is an ongoing topic of interest because increasing evidence suggests that the composition of the initial intestinal bacterial colonization strongly affects health. In particular, the source of bifidobacteria has received marked attention because these bacteria are suggested to play a crucial role in protecting against susceptibility to diverse diseases later in life. However, the source of these microbes has remained unclear. Recently, it was confirmed that mothers transmit their unique bifidobacterial strains to their children shortly after birth. The transmitted strains predominate during early infancy, suggesting that maternal intestinal bifidobacteria are an important source of the infant gut microbiota. Accordingly, maintenance of a healthy, balanced gut microbiota during pregnancy has an important positive influence on the newborn gut microbiota.
Event-based containment control for multi-agent systems with packet dropouts

ABSTRACT This paper is concerned with the event-triggered containment control for stochastic multi-agent systems subject to packet dropouts. The adopted event-triggered protocol is with absolutely triggered conditions catering for the requirement of real-time to an extreme. In light of such a protocol, a novel definition of containment control in mean-square sense, named as χ-containment, is proposed to better describe the tracking dynamics of followers. Based on relative measurement outputs, the purpose of this paper is to design an output-feedback controller such that all followers converge into the convex hull spanned by leaders. First, with the help of the property of the Laplacian matrix, the containment control problem is transformed to an easily setting step by step. Then, sufficient conditions with the form of matrix inequalities are derived to guarantee the desired χ-containment which depends on the initial values and the event-triggered thresholds. By introducing a free matrix combined with an orthogonal basis of the null space of control matrix, the controller gain can be obtained by solving a set of linear matrix inequalities. Finally, a simulation example is given to verify the effectiveness of the designed control protocol.
Tahap Literasi Sains Dalam Kalangan Pelajar Tingkatan Empat Sekolah Aliran Agama Di Daerah Hilir Perak , Perak.

Kajian ini bertujuan mengkaji tahap pengetahuan konsep dan aplikasi sains dalam kehidupan pelajar tingkatan empat aliran agama. Responden kajian terdiri daripada 131 orang pelajar tingkatan empat dari empat buah sekolah di daerah Hilir Perak, Perak. Alat kajian terdiri daripada satu set borang soal selidik dengan nilai kebolehpercayaannya ialah ? = 0.813. Hasil analisis menunjukkan bahawa min tahap pengetahuan sains ialah 2.77 dan min aplikasi sains ialah 2.66. Ini menunjukkan tahap pengetahuan sains dan aplikasi sains berada pada tahap yang tinggi. Hasil ujian t menunjukkan bahawa tidak terdapat perbezaan bererti antara lelaki dan perempuan dalam tahap pengetahuan sains dan aplikasi sains dalam kehidupan (p > 0.05 ). Hasil kajian juga menunjukkan bahawa terdapat perbezaan bererti terhadap tahap pengetahuan sains dan aplikasi sains dengan kumpulan pencapaian gred PMR pelajar baik dan pelajar lemah (p < 0.05). Kolerasi Pearson pula menunjukkan perkaitan yang signifikan antara pengetahuan sains dan aplikasi sains ( r = .657, p < 0.01 ).
Few‐shot Learning of Homogeneous Human Locomotion Styles

Using neural networks for learning motion controllers from motion capture data is becoming popular due to the natural and smooth motions they can produce, the wide range of movements they can learn and their compactness once they are trained. Despite these advantages, these systems require large amounts of motion capture data for each new character or style of motion to be generated, and systems have to undergo lengthy retraining, and often reengineering, to get acceptable results. This can make the use of these systems impractical for animators and designers and solving this issue is an open and rather unexplored problem in computer graphics. In this paper we propose a transfer learning approach for adapting a learned neural network to characters that move in different styles from those on which the original neural network is trained. Given a pretrained character controller in the form of a Phase‐Functioned Neural Network for locomotion, our system can quickly adapt the locomotion to novel styles using only a short motion clip as an example. We introduce a canonical polyadic tensor decomposition to reduce the amount of parameters required for learning from each new style, which both reduces the memory burden at runtime and facilitates learning from smaller quantities of data. We show that our system is suitable for learning stylized motions with few clips of motion data and synthesizing smooth motions in real‐time.
Analisis Perkembangan Riset Pemasaran Tentang Perilaku Konsumen Dalam Melakukan Perpindahan Layanan (Consumer Switching Behavior), Menggunakan Studi Literatur

Perilaku perpindahan pelanggan terjadi saat pelanggan meninggalkan layanan atau produk awal yang mereka gunakan dan menggantinya dengan produk atau layanan baru. Fenomena ini menarik untuk diteliti seiring dengan ketatnya persaingan dan perkembangan teknologi yang memunculkan banyak alternatif produk dan layanan untuk dipilih oleh konsumen. Penelitian ini bertujuan untuk menganalisis perkembangan riset di bidang perilaku perpindahan layanan yang dilakukan oleh konsumen. Metode yang dipergunakan adalah literatur review, yaitu dengan menganalisis jurnal yang terbit pada tahun 2010 sampai dengan 2017 pada publisher emerald dan elsevier. Keyword yang dipergunakan untuk mencari adalah “consumer switching behavior”. Hasil studi pada 13 artikel jurnal ditemukan bahwa variabel yang dipergunakan untuk menganalisis perilaku perpindahan layanan di ambil dari beberapa teori perilaku yang sudah banyak dipergunakan, seperti Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB), dan Technology Acceptance Model (TAM). Sedangkan beberapa penelitian terbaru menunjukkan bahwa teori push and pull mooring dirasakan lebih tepat dipergunakan untuk mengukur dan menganalisis perilaku perpindahan layanan “switching behavior”. Yaitu dengan memasukkan faktor pendorong (push factors), faktor penarik (pull factors) dan faktor yang menjadi penghambat perpindahan (mooring factors). Keywords: TRA, TPB, TAM, Push Factor, Pull Factor, Mooring Factor
Quantifying temporal change in plant population attributes: insights from a resurrection approach

Abstract Rapid evolution in annual plants can be quantified by comparing phenotypic and genetic changes between past and contemporary individuals from the same populations over several generations. Such knowledge will help understand the response of plants to rapid environmental shifts, such as the ones imposed by global climate change. To that end, we undertook a resurrection approach in Spanish populations of the annual plant Arabidopsis thaliana that were sampled twice over a decade. Annual weather records were compared to their historical records to extract patterns of climatic shifts over time. We evaluated the differences between samplings in flowering time, a key life-history trait with adaptive significance, with a field experiment. We also estimated genetic diversity and differentiation based on neutral nuclear markers and nucleotide diversity in candidate flowering time (FRI and FLC) and seed dormancy (DOG1) genes. The role of genetic drift was estimated by computing effective population sizes with the temporal method. Overall, two climatic scenarios were detected: intense warming with increased precipitation and moderate warming with decreased precipitation. The average flowering time varied little between samplings. Instead, within-population variation in flowering time exhibited a decreasing trend over time. Substantial temporal changes in genetic diversity and differentiation were observed with both nuclear microsatellites and candidate genes in all populations, which were interpreted as the result of natural demographic fluctuations. We conclude that drought stress caused by moderate warming with decreased precipitation may have the potential to reduce within-population variation in key life-cycle traits, perhaps as a result of stabilizing selection on them, and to constrain the genetic differentiation over time. Besides, the demographic behaviour of populations probably accounts for the substantial temporal patterns of genetic variation, while keeping rather constant those of phenotypic variation.
A Guide to Psychiatry in Primary Care

Second edition. Casey PR. 276 pages. Wrightson Biomedical Publishing; 1997. $39.00. ISBN 1871816335. Order phone Field of medicine: Primary care and internal medicine. Audience: Primary care physicians and medical and nursing students. Purpose: To provide an overview of current research on and issues related to psychiatry in primary care practice. Content: This second edition integrates changes that have occurred in the field of psychiatry since the first edition was published in 1990. Specifically, recent information on newer antidepressants, anxiety disorders, the effects of sexual abuse, and legal issues in mental health is included. Highlights: Succinct descriptions and the parallel organization of each subject area make for easy reference. Simple language and case examples facilitate comprehension. Each chapter includes a list of suggested readings, one for the physician and the other for the patient, and addresses for informational resources. A chapter exploring the stresses facing the primary care physician is timely. Limitations: The brevity of information exposes a tendency toward absolutes and underscores the potential complexity of psychiatric disturbances. Several typographical errors appear throughout the book, but it is well written. Context: A literature search combining primary care and psychiatry uncovers many articles and books on the need for restructuring the relationship between the two disciplines. Although some publications discuss the importance of increased psychiatric education for primary care physicians, this book actually gives general practitioners the information they need to function as primary care psychiatrists. Reviewer: Kelly Arduino, MA, LCPC, Rush Primary Care Institute, Chicago, Illinois. Commentary: Given the many changes that psychiatry and primary care have undergone since 1990, this new edition is more than justified. Evidence that many primary care physicians are not adequately diagnosing and identifying mental health problems emphasizes the need for psychiatric education. As medical schools adjust to meet the demanding educational needs of today's primary care physicians, this book fills part of the gap between what is expected and what is taught.
Network effects on crowdfunding platforms: Exploring the implications of relaxing input control

Crowdfunding has emerged as a viable alternative to venture capital or angel investments in order to raise funds for entrepreneurial initiatives. Despite its growing importance, we still know little about the underlying network effects that drive the evolution and growth of crowdfunding platforms. Specifically, is the evolution and growth primarily driven by a growing number of entrepreneurial projects attracting funders, or do funders primarily attract entrepreneurs, or does a reciprocal relationship exist between the two market sides? We also explore whether and how input control, a common gatekeeping mechanism on platforms, has an impact on the formation of network effects. By analyzing eight years of data on the evolution of Kickstarter, one of the leading reward‐based crowdfunding platforms, we find that network effects are asymmetric. An increasing number of entrepreneurial projects has a strong and significant effect on the installed base of funders (cross‐side network effects) and also attracts other entrepreneurs to the platform (same‐side network effects). However, an increased installed base of funders does not have an effect on the growth of either side of the market. We also find that, under weaker input control, cross‐side network effects and same‐side network effects are weaker and less sustainable. Taken together, our exploratory evidence suggests that the relationship between the market sides on crowdfunding platforms might be less reciprocal than expected, having profound implications for entrepreneurs and providers of crowdfunding platforms.
Reviews and Notes: Genetics: The Metabolic and Molecular Bases of Inherited Disease

The Metabolic and Molecular Bases of Inherited Disease 7th edition. 3 volumes. CR Scriver, AL Beaudet, WS Sly, and D Valle; eds. 4605 pages. New York: McGraw-Hill; 1995. $285.00. ISBN 0-07-909826-6. Order phone 800-262-4729. This edition of a classic text, which has had to expand in synchrony with the ballooning of medical genetics, is substantially a new book. The opening nine chapters are a detailed and sweeping landscape of genetic perspectives with insights for all of medicine. An especially appealing new chapter is the second one, Logic of Disease by Barton Childs; it is a thoughtful reflection with a striking comparison of Oslerian and Garrodian medicines. Its essence is caught in Childs's epigrammatic The best of all worlds is attained in the doctor who cleaves to the Oslerian ideal in practice and the Garrodian in thinking. This chapter, a masterpiece on how to think anew about disease and individuality in our time, should be compulsory reading for all medical students when they start their studies and, again, just before they leave with diplomas in hand. The opening chapter is a highly readable and notably clear summary of relevant biology for the clinician in molecular genetics and biochemistry. The sections on particular diseases and disorders include many new and heavily revised chapters. The eminence of MMBID-7, as the editors refer to their magnum opus, is again justified; this book must be in any medical library that aims to fully represent contemporary medicine.
Friendship acceptance on Facebook: men prefer cold calls from attractive women while women favour unattractive friends

Our study broadens an experiment conducted by Wang et al. (2010). In their study, screenshots of fictitious Facebook profiles were presented to participants of a university class who were then asked whether they would be willing to accept a friendship. In contrast to the original study, we aimed to investigate actual behaviour of social media users instead of mere intentions. Therefore, we sent out actual friendship requests from male or female profile owners who were either attractive or unattractive. The requests were sent to a sample of 800 Facebook users. We could show that about 10% of these users responded to the cold calls. In line with Wang et al. (2010), male users accepted more invitations from attractive female profile owners. However, in contrast to Wang's findings, female users accepted invitations from unattractive profile owners rather than from attractive profile owners, regardless of the profile owners' gender.