Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Resource Management in Chinese Multinationals in the UK: The Interplay of Institutions, Culture and Strategic Choice

This is a study of the challenges faced by Chinese expatriate managers and their strategic responses in securing a workable degree of alignment in UK subsidiaries, against a backdrop of competing home and host country pressures. Although much of the literature on home and host country effects tends to either adopt a culture or an institutional approach this study highlights the intermeshed nature of the two. In locating cultural dynamics within an institutional firmament, this study juxtaposes the effects of each, and draws conclusions as to their intersection. It is founded on in-depth interviews with home and host country managers. The findings suggest, on the one hand, Chinese expatriate managers tended to see local regulations as an obstacle to efficiency, rather than as a means to access context specific complementarities. On the other hand, these managers recognized the need to fit in with established locally specific ways of doing things and in securing sufficient staff buy in to sustain operations, and played a key intermediary role between HQ and subsidiary.
THE CONCEPT OF LINGUISTIC DIFFICULTY

Experimental work on the concept of linguistic difficulty is summarized. Inherent linguistic difficulty is distinguished from contrastive linguistic difficulty. Studies of phonological acquisition are cited which tend to support the notion of an orderd acquisition of language features, and it is recommended that we look to cross-linguistic evidence, to linguistic universals, for guidance in establishing measures of pronounceability for particular sounds and sequences of sounds. In discussing semantic difficulty, the author focuses on the need for the language learner to discover the semantic correlates of the various parts of speech. The need for more study in the area of contrastive difficulty is noted, and existing work in contrastive phonology is discussed.
Simulation and prediction of further spread of COVID-19 in The Republic of Serbia by 1 SEIRDS model of disease transmission

As a response to the pandemic caused by SARSCov-2 virus, on 15 March, 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID 19. After a slowdown in the 20 epidemic, on 6 May, 2020, the regulatory authorities decided to relax the implemented measures. However, 21 the epidemiological situation soon worsened again. As of 15 October, 2020, a total of 35,454 cases of SARSCov-2 infection have been reported in Serbia, including 770 deaths caused by COVID19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed a mathematical model SEIRDS (S-susceptible, E-exposed, I-infected, R-recovered, D-dead due to COVID19 25 infection, S-susceptible). outcomes, including the necessary hospital capacities. Considering promising results regarding the 29 development of a vaccine against COVID19, the model is enabled to simulate vaccination among different 30 population strata. The findings from various simulation scenarios have shown that, with implementation 31 of strict measures of contact reduction, it is possible to control COVID19 and reduce number of deaths. 32 The findings also show that limiting effective contacts within the most susceptible population strata merits 33 a special attention. However, the findings also show that the disease has a potential to remain in the 34 population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 35 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in 36 human population. The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. 37 Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the 38 population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected 39 basic reproduction number of R o =2.46 and vaccine efficacy of 68%, an 87%- coverage would be sufficient 40 to stop the virus circulation. 41
Mechanisms Behind Plasmonic Enhancement of Photocurrent in Metal Oxides

Surface plasmon resonance (SPR) of metal nanostructures has been proposed as a promising strategy to enhance the photoactivity of metal oxides for photovoltaic and photoelectrochemical applications. While several studies have suggested that metal nanostructures could act as photosensitizers to improve the photocurrent of metal oxides, the mechanism behind is still not well established. Here we briefly review some of the recent research progress and discuss several possible mechanisms underlying the observed plasmonic enhancement of photocurrent in metal-metal oxide systems.
Volatiles in Protoplanetary Disks The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters

Volatiles are compounds with low sublimation temperatures, and they make up most of the condensible mass in typical planet-forming environments. They consist of relatively small, often hydrogenated, molecules based on the abundant elements carbon, nitrogen and oxygen. Volatiles are central to the process of planet formation, forming the backbone of a rich chemistry that sets the initial conditions for the formation of planetary atmospheres, and act as a solid mass reservoir catalyzing the formation of planets and planetesimals. Since Protostars and Planets V, our understanding of the evolution of volatiles in protoplanetary environments has grown tremendously. This growth has been driven by rapid advances in observations and models of protoplanetary disks, and by a deepening understanding of the cosmochemistry of the solar system. Indeed, it is only in the past few years that representative samples of molecules have been discovered in great abundance throughout protoplanetary disks (CO, H 2 O, HCN, C 2 H 2 , CO 2 , HCO + ) – enough to begin building a complete budget for the most abundant elements after hydrogen and helium. The spatial distributions of key volatiles are being mapped, snow lines are directly seen and quantiﬁed, and distinct chemical regions within protoplanetary disks are being identiﬁed, characterized and modeled. Theoretical processes invoked to explain the solar system record are now being observationally constrained in protoplanetary disks, including transport of icy bodies and concentration of bulk condensibles. The balance between chemical reset – processing of inner disk material strong enough to destroy its memory of past chemistry, and inheritance – the chemically gentle accretion of pristine material from the interstellar medium in the outer disk, ultimately determines the ﬁnal composition of pre-planetary matter. This chapter focuses on making the ﬁrst steps toward understanding whether the planet formation processes that led to our solar system are universal.
Macular Schisis Cavities in Non-accidental Trauma

Purpose: To illustrate a severe case of bilateral macular schisis cavities in an infant caused by non-accidental trauma. Methods: Observational case report of one patient. Results: A 6-month old male admitted to the ICU after being found unresponsive at home presented with severe retinopathy related to non-accidental trauma. A subdural and subarachnoid hemorrhage complicated his course, and he ultimately died 2 days after admission. Conclusion: We describe a case of bilateral retinopathy secondary to non- accidental trauma and illustrate severe macular schisis cavities using B-scan ultrasonography and fundus photos.
Immunogenicity of Panitumumab Resonance for Assessing Clinical Comparing ELISA and Surface Plasmon

Evaluation of the immunogenicity of panitumumab, a fully human anti-epidermal growth factor receptor mAb approved for use in colorectal cancer patients, led to the development of two separate immunoassays for the detection of anti-panitumumab Abs. The ﬁrst immunoassay used a bridging ELISA capable of detecting 10 ng/ml positive control anti-panitumumab Ab. The ELISA incorporated an acid dissociation step to reduce drug interference and tolerated the presence of (cid:1) 100-fold molar excess of drug. During eight clinical trials, the ELISA detected developing Ab responses in 2 of 612 (0.3%) subjects. In one of the ELISA positive subjects, neutralizing Abs were detected using an epidermal growth factor receptor phosphorylation bioassay. The second immunoassay used a Biacore biosensor immunoassay format capable of detecting 1 (cid:1) g/ml positive control Ab while tolerating the presence of equal molar amounts of drug. Although less sensitive and less tolerant to competing drug in the assay, the Biacore assay detected developing Ab responses in 25 of the 604 (4.1%) subjects. Additionally, the Biacore assay identiﬁed eight subjects who developed neutralizing Abs. Mouse mAbs with afﬁnities ranging from 1.1 (cid:2) 10 (cid:3) 6 to 8.4 (cid:2) 10 (cid:3) 10 M were used to characterize both assay types. The ELISA was more sensitive for the detection of higher afﬁnity mAbs and detected high-afﬁnity mAbs in the presence of higher molar ratio of drug to mAb. The Biacore assay was more sensitive for detection of lower afﬁnity mAbs and detected low afﬁnity Abs in the presence of higher molar ratios using competitive inhibition of binding to a panitu-mumab-coated surface. Panitumumab diluted to 1 (cid:2) g/ml in 10 mM sodium acetate (pH 5.0) was covalently immobilized at a low density (578 RU) onto a carboxymethyl-dextran-coated sensor chip by amine coupling chem- istry. The mAbs were diluted in sample diluent containing HEPES-buffered saline (pH 7.4) containing 5 mM EDTA, and 0.005% Tween 20. Each mAb was separately evaluated by injection at a high concentration (100 to 800 (cid:2) g/ml) for 2 min across the panitumumab surface at 5 (cid:2) l/min followed by subsequent injections until the panitumumab surface was saturated as indicated by no additional binding. After panitumumab surface saturation, subsequent mAbs were sequentially injected for 1 min at 5 (cid:2) l/min across the surface and any additional binding to available epitopes was deter- mined for each mAb. After the ﬁnal mAb was injected, the surface was regenerated with a 10- (cid:2) l injection of 50 mM NaOH at 30 (cid:2) l/min. The process was repeated after saturating the panitumumab surface individually with each of the ﬁve mAbs, and the order of addition of subsequent mAbs was changed as necessary to establish competitive binding relationships between the mAbs. Abs were considered to have mapped to the same epitope when surface saturation with one mAb completely inhibited binding of a second mAb.
Relationship of Parenting Styles and dental operatory behavior in children.

Patient Declaration of Consent: Informed consent was filled by each study participant before filling the study questionnaire Abstract Background: Parental factors have an important role in the behavior of the child in the dental clinic. These factors include parent-child Frankl behaviour rating scale. The actual behaviour of the child was also recorded during the treatment session by a silent observer. Descriptive statistics along with chi square test were done to analyze the data and to know the level of significance of determinate which was set at less than 0.05. Results: There were 29 (37.66%), 22 (28.57%) and 23 (29.87%) children who had authoritative, authoritarian and permissive parents respectively. We observed significant differences in children’s behavior, according to the parenting styles. The authoritative parents had 2 and 14 children with definitely positive and positive behavior respectively while the authoritarian and permissive parenting styles had same number of children with definitely positive and positive behavior (n=1 and 10, respectively, in each) Conclusion: The evidence supports a relationship between parenting style and children’s dental behavior. However, this association was limited to children with no dental experience. Overall, regarding children’s behavior, we found that children with authoritative parents exhibited slightly more positive behavior compared to other parenting styles.
A Lock-Free Dynamic-Sized Work-Stealing Algorithm with Steal-Half and Work Sharing

—In the paper Thread Scheduling for Multipro- grammed Multiprocessors , Arora, Blumofe, and Paxton (ABP) implement a work-stealing algorithm using a double-ended queue (or deque ) to solve the task-scheduling problem [1]. In this paper, we will begin by giving an overview of work-stealing in general and the advantages and disadvantages that their paper provides. Our focuses are to address and rectify a few key disadvantages of their static-sized deque implementation: the potential inefﬁciency that can occur when multiple stealers attempt to take work from the same thread, the inability of the deque to grow, and a lack of efﬁcient work-balancing. Before explaining our algorithm (and our new data structure), we will explain how our solution solves a different problem than that expressed in A Dynamic-Sized Nonblocking Work Stealing Deque , how it improves the ABP solution scenario aforementioned, how it provides an alternative answer to the work-balancing algorithm (called WorkSharingThread ) in The Art of Multiprocessor Programming , and how it differs from the algorithm in the paper Non-blocking steal-half work queues . Following this, we will delve into the details of our algorithm, informally proving how it can effectively distribute a workload when there are multiple stealers. Finally, we will show the results of our experiments on various workloads, comparing the performance to that of the ABP.
ANGPTL4 Promotes the Proliferation of Papillary Thyroid Cancer via AKT Pathway

Purpose: Although papillary thyroid carcinoma (PTC) is associated with a generally favorable prognosis, about 15% of patients present recurrence and distant metastasis in the next decade leading to death. Angiopoietin-like 4 (ANGPTL4) is secreted to circulation and belongs to the angiopoietin-like proteins. The expression of ANGPTL4 was increased in several solid tumor tissues compared to corresponding paracancerous tissues. ANGPTL4 was identi ﬁ ed as pro-tumorigenic protein, including stimulating tumor cell growth, promoting tumor metastasis. However, the clinical signi ﬁ cance and biological function of ANGPTL4 in PTC is still unclear. Hence, the purpose of this study was to evaluate the role of ANGPTL4 in PTC, investigating the possibility of whether ANGPTL4 could become a novel target for PTC therapy. Methods: We investigated the expression level of ANGPTL4 and pAKT in PTC and paracancerous tissue by immunohistochemistry. We determined the effect of ANGPTL4 in PTC cell proliferation through cell counting kit-8 (CCK-8) and cell cycle by ﬂ ow cytometry analysis. Furthermore, the correlation between ANGPTL4 expression levels and PTC cell proliferation from the TCGA data set was analyzed by GSEA. We explored the role of ANGPTL4 on the phosphorylation of AKT and proliferation in PTC cells via overexpression or knockdown assays and AKT inhibitor assay. Results: In the present study, we found that ANGPTL4 was highly expressed in both protein and mRNA level in PTC compared with adjacent noncancerous tissues or benign nodule. ANGPTL4 expression increased according to thyroid tumor progression. ANGPTL4 level was positively correlated with the size of PTC. ANGPTL4 increased cell proliferation and decreased cell cycle arrest of PTC. Knockdown of ANGPTL4 inhibited the phosphorylation of AKT. ANGPTL4 regulated PTC cell proliferation through AKT signaling pathway. Conclusion: Our ﬁ ndings suggested that ANGPTL4 was increased in PTC compared with adjacent noncancerous tissues, and ANGPTL4 increased cell proliferation and inhibited cell cycle arrest in PTC cells via promoting AKT phosphorylation. The study may provide fundamental information to suggest its suitability as a target for the treatment of PTC.
CONEY: A CONversational survEY Toolkit

Coney is an innovative toolkit designed to enhance the user experience in surveys completion. Coney exploits a conversational approach: on the one hand, Coney allows modelling a conversational survey with an intuitive graphical editor; on the other hand, it allows publishing and administering surveys through a chat interface. Coney allows defining an arbitrary acyclic graph of interaction flows, in which the following question depends on the previous answer provided by the user. This offers a high degree of flexibility to survey designers that can simulate a human-to-human interaction, with a storytelling approach that enables different personalized paths. Coney’s interaction mechanism exploits the advantages of qualitative methods while performing quantitative research, by linking questions to the investigated variables and encoding answers. A preliminary evaluation of the approach shows that users prefer conversational surveys to traditional ones.
Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy

: Wood density is a key indicator for tree functionality and end utilization. Appropriate chemometric methods play an important role in the successful prediction of wood density by visible and near infrared (Vis-NIR) spectroscopy. The objective of this study was to select appropriate pre-processing, variable selection and multivariate calibration techniques to improve the prediction accuracy of density in Chinese white poplar ( Populus tomentosa carriere ) wood. The Vis-NIR spectra were de-noised using four methods (lifting wavelet transform, LWT; wavelet transform, WT; multiplicative scatter correction, MSC; and standard normal variate, SNV), and four variable selection techniques, including successive projections algorithm (SPA), uninformative variables elimination (UVE), competitive adaptive reweighted sampling (CARS) and iteratively retains informative variables (IRIV), were compared to simplify the dimension of the high-dimensional spectral matrix. The non-linear models of generalized regression neural network (GRNN) and support vector machine (SVM) were performed using these selected variables. The results showed that the best prediction was obtained by GRNN models combined with the LWT and CARS method for Chinese white poplar wood density ( R 2 p = 0.870; RMSEP = 13 Kg/m 3 ; RPD p = 2.774).
Design and Development of Buck/Boost Converter for Maintaining the Constant DC Supply to Meet the Load Requirement.

As the conventional sources are coming to an extent, the new research era has been started with renewable energy sources like solar, wind etc. But with solar, wind power generation is not maintained constant due to the considering parameters like the variation in day-to-day temperature and irradiance. In order to overcome these variations and to meet the required rated power of the PV System, Maximum Power Point Tracking (MPPT) technique has been implemented. The present work describes the design and implementation of photo voltaic (PV) system with Buck/Boost converter. PV system output voltage always varied with irradiance and temperature, to control the voltage use DC-DC buck/boost converter. With the help of DC-DC converter and mode transition from buck to boost vice versa to main-tain DC bus voltage constant and feeds to DC loads. Experimental results obtained from a 2.5KW system have verified the discussion and feasibility.
Multi-relational Instruction Association Graph for Cross-architecture Binary Similarity Comparison

Cross-architecture binary similarity comparison is essential in many security applications. Recently, researchers have proposed learning-based approaches to improve comparison performance. They adopted a paradigm of instruction pre-training, individual binary encoding, and distance-based similarity comparison. However, instruction embeddings pre-trained on external code corpus are not universal in diverse real-world applications. And separately encoding cross-architecture binaries will accumulate the semantic gap of instruction sets, limiting the comparison accuracy. This paper proposes a novel cross-architecture binary similarity comparison approach with multi-relational instruction association graph. We associate mono-architecture instruction tokens with context relevance and cross-architecture tokens with potential semantic correlations from different perspectives. Then we exploit the relational graph convolutional network (R-GCN) to perform type-specific graph information propagation. Our approach can bridge the gap in the cross-architecture instruction representation spaces while avoiding the external pre-training workload. We conduct extensive experiments on basic block-level and function-level datasets to prove the superiority of our approach. Furthermore, evaluations on a large-scale real-world IoT malware reuse function collection show that our approach is valuable for identifying malware propagated on IoT devices of various architectures.
Systemic and Socially Aware Perspective for Information Systems

Information and Communication Technology triggers changes affecting the environment in which it operates and the people who live in this environment — even those who do not use it. Information Systems are available worldwide, shaping organizations, business, governments and societies. Therefore, designing and using information systems has assumed new dimensions in terms of complexity and has required a wider and deeper understanding of the ethical and social responsibilities of those who design them. In this Grand Challenge, we argue that technical, social, legal and ethical problems in the development and use of information systems arise from a narrow understanding of information systems that does not favor the social world in which they exist and are used. Instead, we must develop and adopt a systemic view for Information Systems that considers a technical solution as part of a more complex social system in which people live and interact; a socially aware view able to understand and anticipate the demands, challenges, problems and opportunities of a society increasingly connected and mediated by interactive technologies.
Lipid and Lipoprotein Profiles in Youth with and Without Type 1 Diabetes: The SEARCH Case-Control Study

1. Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver 2. Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Denver 3. Barbara Davis Center, University of Colorado Denver 4. Nutrition Department, University of North Carolina at Chapel Hill 5. Department of Epidemiology and Biostatistics and Center for Research in Nutrition and Health Disparities, University of South Carolina, Columbia, South Carolina. 6. Department of Public Health Sciences, Wake Forest University School of Medicine, North Carolina 7. Northwest Lipid Metabolism and Diabetes Research Laboratories, University of Washington
Feature based Protein Function Prediction by Using Random Forest

-n this paper we had discuss the prediction of protein function by using the Random Forest method on WEKA tool. Proteins are main building blocks of our Life. Proteins are essential parts of our life and participate in virtually every process within a cell. Protein function prediction methods are those used in bioinformatics to assign biological or biochemical roles to proteins. Here we have extracted 41 sequence-derived features of enzymes from freely available online tool. In this paper we have achieved the overall accuracy about72.5% by using Random Forest. Our Datasets have taken from PDB.