Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of: “Design and Analysis of DNA Microarray Investigations”

This book gives a welcome introduction to microarray data and its analysis. Such analyses have been performed for many years, but only recently are new investigators able to read about the topic in such a concise and well-written format. The goal of the book is to provide scientists with statistical information needed to design microarray experiments, while simultaneously providing a reference for statisticians who are researching advanced methods in the field. The authors succeed on both counts, and they provide a comprehensive view of the complete experiment and its analysis which is accessible to both statisticians and other scientists. Chapter 1 gives an overview of the book, including its motivation and audience. As the authors state, there is a great need of references for scientific researchers who are analyzing microarray data, as well as for statistical researchers who are embarking on microarray data analysis. The biology and layout of microarray chips are given in Chapter 2. The authors distinguish between the two most common chip types: cDNA arrays and Affymetrix chips. This chapter is particularly helpful to statisticians who may not have a strong background in biology or genetics. Chapter 3 outlines typical questions arising from microarray experiments and their associated statistical procedures. Of particular importance are issues of experimental design (Kerr and Churchill, 2001), bias (Dobbin et al., 2003), and power (Rosenwald et al., 2002). All of which, if left unaddressed, can possibly ruin a good microarray experiment. In order to accurately analyze microarray data, it is important for the practitioner to understand how the data values are calculated. In Chapter 4, the authors explain how the images are created and measured. Specifically, they elucidate the importance and relevance of background correction (Yang and Speed, 2002) for both cDNA and Affymetrix chips. Quality control of microarray data is one of the most important steps to consider in analyzing the data. Chapter 5 outlines recommendations for various scenarios. For example, if signals in both channels are low, it is advisable to exclude such spots. Additionally, the authors discuss flagging spots based on background signal that is particularly large. The quality control issues are also discussed for
The Influence of Complaint Handling and Service Recovery on Customer Satisfaction, Customer Loyalty and Customer Retention

This research aimed at defining the concepts of "complaint handling" and "service recovery" and finding out their influence on customer satisfaction, loyalty, and retention. A systematic literature review was used as a research methodology to reach these goals. Based on the literature review, a model of the influence of complaint handling and service recovery on customer satisfaction, customer loyalty, and customer retention, was developed and described. The analysis of previous studies showed that customer satisfaction was highly affected by complaint handling and service recovery. The other two variables: customer loyalty and customer retention, did not directly correlate with complaint handling and service recovery. However, based on reviewed articles, it can be seen that the influence of complaints handling on customer loyalty could be mediated by customer satisfaction; the loyalty of customers was significantly affected by the level of customers' satisfaction. Meanwhile, another variable - customer retention was highly affected by customer satisfaction and customer loyalty. Therefore, it also had an indirect correlation with complaint handling and service recovery.
Increased Serum Trimethylamine N-Oxide Level in Type 2 Diabetic Patients with Mild Cognitive Impairment

Purpose Trimethylamine N-oxide (TMAO) is a metabolite of phosphatidylcholine in red meat and other diets, which is associated with cardiovascular and other diseases. The aim of this study is to evaluate the associations of serum TMAO with mild cognitive impairment (MCI) in the Chinese type 2 diabetes mellitus (T2DM) population. Materials and Methods A total of 253 hospitalized T2DM patients and 150 healthy controls were included in this cross-sectional study. Montreal Cognitive Assessment (MoCA) assessed the cognition function, and the 253 T2DM patients were divided into 74 subjects with MCI and 179 with non-MCI. Demographic data and biochemical test results were evaluated. Serum TMAO level was measured by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Results A higher serum TMAO level was observed in T2DM patients compared with the healthy controls (P < 0.001). Among all T2DM patients, the MCI group (n = 74) showed higher serum TMAO levels than the non-MCI group. Spearman correlation test showed that TMAO levels were significantly positively correlated with age (r = 0.147, P = 0.019), body mass index (BMI) (r = 0.153, P = 0.015), diabetes duration (r = 0.160, P = 0.011), HbA1c (r = 0.138, P = 0.029), triglyceride (TG) (r = 0.138, P = 0.029), creatinine (r = 0.184, p = 0.003), hs-CRP (r = 0.243, P < 0.001), and were negatively correlated with HDL-C (r = −0.144, P = 0.022), BDNF (r = −0.165, p = 0.009), and MoCA (r = −0.386, P < 0.001) score (all P < 0.05). Multivariable Logistic regression identified high serum TMAO level as a significant independent factor of MCI in the T2DM patients (OR = 1.404, 95% CI = 1.255–1.571; P < 0.001). Conclusion Our study showed that T2DM patients with MCI have elevated serum TMAO levels.
Mutual Business Relationship Development Efforts

Maintaining the relationship between the company and customers and partners (suppliers) is an important thing that must be done in developing and maintaining long-term relationships to create a sustainable competitive advantage. Lack of knowledge about banking transactions of business actors in traditional markets and the benefits of digital platform-based financial causes some traders to still use the services of loan sharks in obtaining loans (capital). This research aims to determine the impact and efforts of mutual business relationship development at Pasar Sehat Genteng in collaboration with the Bank BJB Garut branch in providing banking digital literacy assistance. This research used a qualitative approach with descriptive methods. Pasar Sehat Genteng collaborates with Bank BJB Garut branch to provide banking and digital financial transaction platform facilities as a new model option in traditional markets in facing the digital era, and also as a means of direct banking financial literacy education for both traders and the public in implementing financial technology in traditional markets such as paying levies through the BJB Digi application and QRIS, as well as doing a transaction with buyers. The implementation of financial technology literacy provides many benefits for all parties at the traditional market such as reducing the risk of counterfeit money, reducing the supply made by loan sharks to traders, the financial records up-to-date and accountable anytime, and minimizing the spread of the covid-19 virus through transactions at traditional markets.
Ethical Leadership Style in Moderating the Influence of Green Organizational Culture on Green Innovative Behavior: SMEs Cases

This study aims to test: 1) the influence of green organizational culture on innovative green behavior, 2) the role of ethical leadership in moderating the influence of green organizational culture on innovative green behavior. This research was conducted with a survey and involved all Batik Small & Medium Enterprises (SMEs) employees in Berbah subdistrict, Sleman, Yogyakarta, Indonesia. The number of employees is 115 people and work in 12 SMEs. The researcher used mixed methods (quantitative and qualitative) to obtain factual data. Interviews and questionary were data carried out. Researchers used the qualitative method by conducting in-person interviews of SMEs owners and workers. Instrument tests use confirmatory factor analysis and reliability tests. The research instruments are examined using confirmatory factor analysis and reliability tests. The hypothesis testing is done by simple regression and moderation regression. Hypothesis test results show that green organizational culture positively affects innovative behavior, and ethical leadership moderates the influence of green organizational culture on innovative green behavior. The results of this study have theoretical implications and managerial implications that are beneficial to leaders in improving innovative environmentally friendly behaviors. Given the lack of analysis of the role of ethical leadership in increasing the influence of green organizational culture on innovative behavior that is environmentally friendly, further research is needed in the future.
Resource Allocation for Underlay Interfering D2D Networks With Multiantenna and Imperfect CSI

Underlay device-to-device (D2D) communications improve the spectral efficiency by simultaneously allowing direct communication between D2D-users on the same channels as cellular-users (CUs). However, most related works consider perfect channel-state-information (CSI) with single-antenna transmissions and usually assign each channel to one D2D pair. In this work, we formulate an optimization problem for maximizing the aggregate rate of all D2D pairs and CUs in single and multiple antenna configurations under imperfect CSI, by optimizing channel and power resources. Our formulation guarantees probability of outage below a specified threshold and fairness in channel allocation across D2D pairs. The resulting problem is a stochastic-mixed-integer-non-convex problem, we solve it approximately by alternating between power-allocation and channel-assignment sub-problems. The stochastic objective and outage constraints are addressed by the concept of order-of-statistics in the single-antenna case and the Bernstein-type inequality in the multiple-antenna configuration. The power-allocation sub-problem is solved by exploiting a quadratic-transformation, while the channel-assignment sub-problem is solved by integer relaxation. Furthermore, two computationally efficient algorithms are proposed to approximately solve the problem in a partially decentralized manner. We also establish convergence guarantees for the different algorithms proposed in this work. Simulation results show that the proposed approach achieves higher throughput compared to the state-of-the-art alternatives.
Extensible Model for Turkish Single Document Summarization

The development of Automatic Text Summarization systems with the help of a computer is one of the most challenge for two decades. The amount of information currently available and the time problem of those who need information reveal the importance of such summaries. Generally, successful summaries are produced by people. However, it is obvious that human resources will not be enough to summarize the daily flow of information. Today, work is focused on designing and improving systems that automatically extract the abstract from the text. In this study, a summarization system based on a parametric method has been proposed and implemented. It summarizes a single Turkish text. The compression ratio of the summary can be determined by the user. The system also offers title and keyword support to the user. The evaluation reveals an average model, however the hardness of Turkish language considered it is promising.
Transcriptome analysis of well-differentiated laryngeal squamous cell carcinoma cells in below-background environment

Background Preliminary research has shown an inhibited growth rate of well-differentiated laryngeal squamous cell carcinoma cells (FD-LSC-1) in below-background radiation (BBR), but how the cells respond to this environmental stress and the potential mechanisms are yet unknown. The current study aimed to reveal the molecular differences in cells grown under BBR conditions and normal radiation at the transcriptional level. Methods The expression profiles between FD-LSC-1 cells grown in a deep underground laboratory and above ground laboratory collected on day 4 were investigated by whole-transcriptome analysis, including messenger RNAs (mRNAs), long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and microRNAs (miRNAs). Functional analyses of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were then implemented for differentially expressed (DE) mRNAs and target genes of lncRNAs and circRNAs. Co-expression levels and the Bayesian network of DE genes were subsequently constructed, and the reliability of expression patterns were validated by quantitative real-time polymerase chain reaction (PCR). Results The study identified a total of 671 mRNAs, 286 lncRNAs, 489 circRNAs, and 6 miRNAs as significantly expressed in response to the environmental stress. The GO annotations regarding the biological processes category were mainly biological regulation, metabolic process, response to stimulus, cell cycle, and modification process. The KEGG enrichment analysis indicated that TGF-β and Hippo signaling played a crucial role in the transcriptional regulation of FD-LSC-1 cell growth under background radiation. Further network construction suggested that the enriched KEGG pathways affected this process by regulating cell proliferation-related genes including SMAD, SMAD7, CDH1, EGR1, and BMP2. Conclusions Below-background radiation can lead to transcriptional changes in FD-LSC-1 cells cultured in the deep underground. The inhibitory growth effect is associated with multiple biological processes as well as canonical pathways of proliferation.
Measurements and modeling of Lower Hybrid Driven fast electrons on Alcator C-Mod

A Lower Hybrid Current Drive (LHCD) system has been implemented on Alcator C-Mod with successful coupling to the plasma of up to 1 MW of power. Nearly fully non-inductive current drive has been achieved for several current relaxation times at low but ITER-relevant densities. One major advantageous feature of the C-Mod LH system is its phasing flexibility, allowing it to produce spectra with a wide range of peak parallel refractive index (n||). Theory predicts that LH power deposition location is strongly dependent on n||, as well as on other parameters such as electron temperature, electron density, and plasma current. Several diagnostics exist on Alcator C-Mod which can measure the effects of LHCD power on the plasma. The primary diagnostic for measuring LH-driven fast electrons is a hard x-ray (HXR) camera that measures fast electron Bremsstrahlung emission. This is a horizontallyviewing diagnostic with 32 spatial chords that span the plasma cross-section. Each chord ends at a cadmium zinc telluride (CZT) detector that detects individual x-ray photons as current pulses. The output from these detectors is shaped and digitized. Post-processing of the raw pulse train allows for flexible time and energy binning. Another diagnostic for detecting fast electrons is the Electron Cyclotron Emission (ECE) diagnostic. This diagnostic is designed to measure electron temperature in a Maxwellian plasma that is optically thick in the second harmonic. However, the LHdriven fast electrons have relativistically downshifted electron cyclotron frequencies and contribute to additional emission at frequencies just below the second harmonic, where the plasma is optically thin. A third useful diagnostic for LHCD operation is the Motional Stark Effect (MSE) diagnostic, which measures the magnetic field pitch angle profile and therefore can be used to infer the current profile inside the plasma. This current profile is the sum of ohmic current, LH current, and bootstrap current and has been observed to change when LH power is applied to an ohmic plasma. GENRAY/CQL3D is a ray-tracing/Fokker-Plank code package that solves iteratively for a self-consistent electron distribution function in the presence of LH waves, given a plasma scenario and LH wave spectrum. This code includes synthetic diagnostics that can be compared to experimental HXR and ECE measurements. Al-
A CMOS Wideband Watt-Level 4096-QAM Digital Power Amplifier Using Reconfigurable Power-Combining Transformer

In this article, a wideband watt-level digital power amplifier (DPA) with high efficiency and large dynamic range is presented in CMOS technology for wireless applications. To achieve high output power with enhanced operation bandwidth (BW), the wideband matching network based on a reconfigurable power-combining transformer is used. Meanwhile, the <inline-formula> <tex-math notation="LaTeX">$L$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">$C$ </tex-math></inline-formula> circuit is used to suppress the harmonics, which further improves the output power of the fundamental signal. In addition, the LO leakage is suppressed by the 12-bit power digital-to-analog converter (power DAC), which leads to high dynamic range of the proposed DPA. To verify the mechanism, a 1.2–3.6-GHz watt-level 12-bit polar DPA is implemented and fabricated using a conventional 40-nm CMOS technology. With 1.1-/2.5-V supply, the fabricated DPA exhibits peak output power (<inline-formula> <tex-math notation="LaTeX">$P_{\text {out}}$ </tex-math></inline-formula>) of 32.67 dBm, peak drain efficiency (DE) of 45.1%, and peak power-added efficiency (PAE) of 35.5% at 2 GHz. It supports 50-MSyms/s 256-QAM with average output power (<inline-formula> <tex-math notation="LaTeX">$P_{\text {avg}}$ </tex-math></inline-formula>) of 22.76 dBm, error vector magnitude (EVM) of −31.46 dB, and adjacent channel leakage ratio (ACLR) of −30.67 dBc, 10-MSyms/s 1024-QAM with <inline-formula> <tex-math notation="LaTeX">$P_{\text {avg}}$ </tex-math></inline-formula> of 25.54 dBm, EVM of −38.2 dB, and ACLR of −38.71 dBc, and 5-MSym/s 4096-QAM with <inline-formula> <tex-math notation="LaTeX">$P_{\text {avg}}$ </tex-math></inline-formula> of 22.97 dBm, EVM of −43.0 dB, and ACLR of −46.32 dBc, respectively.
What Factors Control the Crude Protein Content Variation of a Basaltic “Campos” Native Grassland of South America?

Native grasslands are the main source of food for livestock in the Campos region of South America. These forage resources are heterogeneous in species composition, grazing management, and soil fertility within a context of variable climate, all of which are factors that affect forage crude protein content over time and space. Despite the importance of protein in livestock nutrition, there is a gap in the knowledge of how fertilisation, sward height, and soil water availability influence the crude protein content of these grasslands. We used data from a long-term fertilisation experiment to construct a structural model aiming to identify the main factors influencing forage crude protein content of a basaltic native grassland in northern Uruguay. The structural model revealed that both fertilisation and the increase in soil water availability (through the improvement of the nitrogen content of green leaves) are the main pathways by which forage crude protein content increases. This new approach (which identifies and quantifies the main factors that drive forage crude protein content of native grasslands) could be used to support prediction models for forage protein content in order to improve grazing livestock nutrition of Campos native grasslands.
An Explication of HistCiteTM: Updates, Modifications, and a Variety of Applications

Abstract This paper aims to introduce HistciteTM, its modifications, and possible applications. Officially launched in 2007, HistciteTM was a bibliometric analysis and visualization software package developed by Dr. Eugene Garfield and his colleagues in 2001. The upgraded versions, HistciteTM pro 2.0 and 2.1, modified the way to open the software and automatically read the raw data of the Web of Science. Pre-processing methods offered practical solutions for problems of insufficient data via possible applications with various software features. While utilizing the HistCiteTM algorithm, the main-path analysis may serve to highlight the structural backbone used in developing an emerging scientific field through a series of identifiable citation networks. Although HistCiteTM has ceased updating, it remains a promising tool for researchers wishing to perform bibliometric analysis through technical refinement and enhancements.
Committed to Trust: A Qualitative Study on Security & Trust in Open Source Software Projects

Open Source Software plays an important role in many software ecosystems. Whether in operating systems, network stacks, or as low-level system drivers, software we encounter daily is permeated with code contributions from open source projects. Decentralized development and open collaboration in open source projects introduce unique challenges: code submissions from unknown entities, limited personpower for commit or dependency reviews, and bringing new contributors up-to-date in projects’ best practices & processes.In 27 in-depth, semi-structured interviews with owners, maintainers, and contributors from a diverse set of open source projects, we investigate their security and trust practices. For this, we explore projects’ behind-the-scene processes, provided guidance & policies, as well as incident handling & encountered challenges. We find that our participants’ projects are highly diverse both in deployed security measures and trust processes, as well as their underlying motivations. Based on our findings, we discuss implications for the open source software ecosystem and how the research community can better support open source projects in trust and security considerations. Overall, we argue for supporting open source projects in ways that consider their individual strengths and limitations, especially in the case of smaller projects with low contributor numbers and limited access to resources.
Newton-Euler approach for bio-robotics locomotion dynamics : from discrete to continuous systems

This thesis proposes a general and unified methodological framework suitable for studying the locomotion of a wide range of robots, especially bio-inspired. The objective of this thesis is twofold. First, it contributes to the classification of locomotion robots by adopting the mathematical tools developed by the American school of geometric mechanics.Secondly, by taking advantage of the recursive nature of the Newton-Euler formulation, it proposes numerous efficient tools in the form of computational algorithms capable of solving the external direct dynamics and the internal inverse dynamics of any locomotion robot considered as a mobile multi-body system. These generic tools can help the engineers or researchers in the design, control and motion planning of manipulators as well as locomotion robots with a large number of internal degrees of freedom. The efficient algorithms are proposed for discrete and continuous robots. These methodological tools are applied to numerous illustrative examples taken from the bio-inspired robotics such as snake-like robots, caterpillars, and others like snake-board, etc.