Relevant bibliographies by topics / Restriction of data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Restriction of data'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "Restriction of data"

1

Bourgeois, Adèle. "Restricting supercuspidal representations via a restriction of data." Pacific Journal of Mathematics 312, no. 1 (2021): 1–39. http://dx.doi.org/10.2140/pjm.2021.312.1.

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Hu, Zhenghua, Jibiao Zhou, Shuichao Zhang, Songhan He, and Bo’an Yu. "Restriction Analysis of Transport Policy for Bridges Using the Trajectory Data." Journal of Advanced Transportation 2020 (December 5, 2020): 1–10. http://dx.doi.org/10.1155/2020/8880335.

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Roads are becoming increasingly congested with continuous rise in the number of vehicles. Restriction policies are selected to alleviate congestion in many cities. However, conclusions regarding the substantial effects of restriction policies have not been fully demonstrated. This study primarily aims to demonstrate whether traffic restrictions can control the driving habits of people to alleviate traffic pressure. Furthermore, this study investigates the effect on the traffic on the premise of a normalized restriction policy. Data were collected by bayonet systems in Ningbo. Results showed that vehicles restricted by the restriction policy only accounted for approximately 13%. Most drivers bypass restricted roads to avoid restrictions. The method proposed can effectively amend the trajectory deviation caused by the inaccuracy from the bayonet. Based on the results, some suggestions about the policy of restrictions were discussed.
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Doshi, Peter, and Tom Jefferson. "Disclose Data Publicly, without Restriction." Journal of Law, Medicine & Ethics 45, S2 (2017): 42–45. http://dx.doi.org/10.1177/1073110517750620.

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Ethical, evidence-informed decision making is undermined by the grave concerns that have emerged over the trustworthiness of clinical trials published in biomedical journals. The inescapable conclusion from this growing body of research is that what we see, even in the most highly regarded peer-reviewed journals, cannot be trusted at face value. Concerns of inaccurate, biased, and insufficient reporting of trials are impossible to resolve without access to underlying trial data. Access to such data, including things like clinical study reports—huge, unabridged, detailed reports of clinical trials—would minimise the risk of distortions and selective publication. But the FDA, the world’s greatest custodian of those data, just sits on them. We see no reason why FDA should not publicly release clinical study reports with minimal redactions. The European regulator is already doing this, but FDA’s holdings are far greater. Data transparency is not simply an “opportunity” FDA might consider, but rather an ethical imperative. The Blueprint is good but does not go far enough. We do not need gates, barriers and committees between us and access to aggregate reports on drugs and other interventions which we are prescribing or using daily. Let’s leave the nannies at home.
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Anonymous. "AGU Sonar Data Restriction Panel." Eos, Transactions American Geophysical Union 70, no. 35 (1989): 811. http://dx.doi.org/10.1029/89eo00267.

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Ham, John C., and Kevin T. Reilly. "Testing Intertemporal Substitution, Implicit Contracts, and Hours Restriction Models of the Labor Market Using Micro Data." American Economic Review 92, no. 4 (2002): 905–27. http://dx.doi.org/10.1257/00028280260344524.

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We present new tests of three theories of the labor market: intertemporal substitution, hours restrictions, and implicit contracts. The intertemporal substitution test we implement is an exclusion test robust to many specification errors and we consistently reject this model. We model hours restrictions as part of an endogenous switching model. We compare the implicit probit equation to an unrestricted probit equation for unemployment and reject the hours restriction model. For the implicit contracts model, we estimate nonseparable within-period labor-supply and consumption equations. We test a cross-equation restriction of the model and cannot reject the implicit contracts model.
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Raad, Lutfi, Eric Johnson, Dave Bush, and Stephan Saboundjian. "Parks Highway Load Restriction Field Data Analysis: Case Study." Transportation Research Record: Journal of the Transportation Research Board 1615, no. 1 (1998): 32–40. http://dx.doi.org/10.3141/1615-05.

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The loss of pavement strength during spring thaw could result in excessive road damage under applied traffic loads. Damage assessment associated with the critical thaw period is essential to evaluate current load restriction policies. The Alaska Department of Transportation and Public Facilities proposed a plan that will provide an engineering analysis of field conditions with 100-percent loads on the Parks Highway for 1996. Extensive data were collected and analyzed in an effort to monitor pavement damage during the spring of 1996 and to determine loss of pavement strength. Field data included truck traffic data from scalehouse and weigh-in-motion (WIM) stations, pavement temperature data, profilometer data for roughness and rutting, and falling weight deflectometer data. Analyses were performed to compare WIM and scalehouse traffic data and to determine the fraction of overweight axle-loads and corresponding pavement damage during spring thaw. Northbound and southbound truck traffic and its effect on pavement damage were considered. Ground temperature measurements were analyzed to determine when thaw initiates and how long seasonal load restrictions are required. In addition, comparisons of remaining life with and without load restrictions using mechanistic methods were conducted.
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Grant, A., L. A. Ogilvie, C. B. Blackwood, T. Marsh, S. H. Kim, and E. A. Paul. "Terminal Restriction Fragment Length Polymorphism Data Analysis." Applied and Environmental Microbiology 69, no. 10 (2003): 6342–43. http://dx.doi.org/10.1128/aem.69.10.6342-6343.2003.

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8

Kouzy, Ramez, Joseph Abi Jaoude, Walker Mainwaring, et al. "Performance status restriction in phase III cancer clinical trials." Journal of Clinical Oncology 38, no. 15_suppl (2020): 2059. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.2059.

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2059 Background: Patients with good performance status (PS) tend to be favored in randomized clinical trials (RCTs), possibly limiting the generalizability of trial findings. We sought to characterize trial-related factors associated with the use of eligibility criteria that restrict patients by PS, and analyze patient accrual breakdown by PS. Methods: We searched ClinicalTrials.gov for phase III RCTs between 2003-2018. Randomized multi-arm trials assessing a therapeutic intervention in cancer patients were included. PS data were extracted from corresponding manuscripts. Trials with PS restriction Eastern Cooperative Oncology Group (ECOG) ≤1 were identified. Factors associated with PS restriction were determined, and trial patient accrual was analyzed. Results: Six-hundred trials were included with PS data for 238,213 patients. In total, 527 studies (87.8%) specified an upper PS restriction cutoff as part of their exclusion criteria, and 237 studies (39.5%) had a strict inclusion criterion of patients with ECOG PS ≤1. Enrollment criteria restrictions based on PS (ECOG PS ≤1) were more common among industry-supported trials (P< 0.001) and lung cancer trials (P < 0.001). Nearly half of trials that led to subsequent FDA approval included strict PS restrictions. Binary logistic regression revealed stable use of restrictive PS eligibility criteria between 2007-2018 (P= 0.789). The vast majority of patients enrolled across all trials had an ECOG PS of 0 to 1 (96.3%). Even among trials that allowed patients with ECOG PS ≥2, only 8.1% of enrolled patients had a poor PS (ECOG 2 or higher).Trials of hematologic cancers had the largest proportion of patients with ECOG PS ≥2 (8.7%), while lung, breast, gastrointestinal and genitourinary trials all included less than 5% of patients with poor PS (P< 0.001). Only 4.8% of patients enrolled in trials that led to subsequent FDA approval had a poor PS. Conclusions: The use of PS restrictions in oncologic RCTs is pervasive, and exceedingly few patients with poor PS are enrolled. The selective accrual of healthier patients has the potential to severely limit and bias trial results. Future trials should consider a wider cancer population with close toxicity monitoring, to ensure generalizability of results, while maintaining patient safety.
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Willard, Dan E., and George S. Lueker. "Adding range restriction capability to dynamic data structures." Journal of the ACM 32, no. 3 (1985): 597–617. http://dx.doi.org/10.1145/3828.3839.

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Saenz, Dyana T., Wulin Teo, John C. Olsen та Eric M. Poeschla. "Restriction of Feline Immunodeficiency Virus by Ref1, Lv1, and Primate TRIM5α Proteins". Journal of Virology 79, № 24 (2005): 15175–88. http://dx.doi.org/10.1128/jvi.79.24.15175-15188.2005.

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ABSTRACT The Ref1 and Lv1 postentry restrictions in human and monkey cells have been analyzed for lentiviruses in the primate and ungulate groups, but no data exist for the third (feline) group. We compared feline immunodeficiency virus (FIV) to other restricted (human immunodeficiency virus type 1 [HIV-1], equine infectious anemia virus [EIAV]) and unrestricted (NB-tropic murine leukemia virus [NB-MLV]) retroviruses across wide ranges of viral inputs in cells from multiple primate and nonprimate species. We also characterized restrictions conferred to permissive feline and canine cells engineered to express rhesus and human TRIM5α proteins and performed RNA interference (RNAi) against endogenous TRIM5α. We find that expression of rhesus or human TRIM5α proteins in feline cells restricts FIV, impairing pseudotyped vector transduction and viral replication, but rhesus TRIM5α is more restricting than human TRIM5α. Notably, however, canine cells did not support restriction by human TRIM5α and supported minimal restriction by rhesus TRIM5α, suggesting that these proteins may not function autonomously or that a canine factor interferes. Stable RNAi knockdown of endogenous rhesus TRIM5α resulted in marked increases in FIV and HIV-1 infectivities while having no effect on NB-MLV. A panel of nonprimate cell lines varied widely in susceptibility to lentiviral vector transduction, but normalized FIV and HIV-1 vectors varied concordantly. In contrast, in human and monkey cells, relative restriction of FIV compared to HIV-1 varied from none to substantial, with the greatest relative infectivity deficit for FIV vectors observed in human T-cell lines. Endogenous and introduced TRIM5α restrictions of FIV could be titrated by coinfections with FIV, HIV-1, or EIAV virus-like particles. Arsenic trioxide had complex and TRIM5α-independent enhancing effects on lentiviral but not NB-MLV infection. Implications for human gene therapy are discussed.
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Dissertations / Theses on the topic "Restriction of data"

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Brass, Stefan. "Range restriction for general formulas." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4152/.

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Deductive databases need general formulas in rule bodies, not only conjuctions of literals. This is well known since the work of Lloyd and Topor about extended logic programming. Of course, formulas must be restricted in such a way that they can be effectively evaluated in finite time, and produce only a finite number of new tuples (in each iteration of the TP-operator: the fixpoint can still be infinite). It is also necessary to respect binding restrictions of built-in predicates: many of these predicates can be executed only when certain arguments are ground. Whereas for standard logic programming rules, questions of safety, allowedness, and range-restriction are relatively easy and well understood, the situation for general formulas is a bit more complicated. We give a syntactic analysis of formulas that guarantees the necessary properties.
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Moore, Page Casey Seaman John Weldon. "A restriction method for the analysis of discrete longitudinal missing data." Waco, Tex. : Baylor University, 2006. http://hdl.handle.net/2104/4880.

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MARTELOTTE, MARCELA COHEN. "USING LINEAR MIXED MODELS ON DATA FROM EXPERIMENTS WITH RESTRICTION IN RANDOMIZATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=16422@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Esta dissertação trata da aplicação de modelos lineares mistos em dados provenientes de experimentos com restrição na aleatorização. O experimento utilizado neste trabalho teve como finalidade verificar quais eram os fatores de controle do processo de laminação a frio que mais afetavam a espessura do material utilizado na fabricação das latas para bebidas carbonatadas. A partir do experimento, foram obtidos dados para modelar a média e a variância da espessura do material. O objetivo da modelagem era identificar quais fatores faziam com que a espessura média atingisse o valor desejado (0,248 mm). Além disso, era necessário identificar qual a combinação dos níveis desses fatores que produzia a variância mínima na espessura do material. Houve replicações neste experimento, mas estas não foram executadas de forma aleatória, e, além disso, os níveis dos fatores utilizados não foram reinicializados, nas rodadas do experimento. Devido a estas restrições, foram utilizados modelos mistos para o ajuste da média, e da variância, da espessura, uma vez que com tais modelos é possível trabalhar na presença de dados auto-correlacionados e heterocedásticos. Os modelos mostraram uma boa adequação aos dados, indicando que para situações onde existe restrição na aleatorização, a utilização de modelos mistos se mostra apropriada.<br>This dissertation presents an application of linear mixed models on data from an experiment with restriction in randomization. The experiment used in this study was aimed to verify which were the controlling factors, in the cold-rolling process, that most affected the thickness of the material used in the carbonated beverages market segment. From the experiment, data were obtained to model the mean and variance of the thickness of the material. The goal of modeling was to identify which factors were significant for the thickness reaches the desired value (0.248 mm). Furthermore, it was necessary to identify which combination of levels, of these factors, produced the minimum variance in the thickness of the material. There were replications of this experiment, but these were not performed randomly. In addition, the levels of factors used were not restarted during the trials. Due to these limitations, mixed models were used to adjust the mean and the variance of the thickness. The models showed a good fit to the data, indicating that for situations where there is restriction on randomization, the use of mixed models is suitable.
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Bourgeois, Adèle. "On the Restriction of Supercuspidal Representations: An In-Depth Exploration of the Data." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40901.

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Let $\mathbb{G}$ be a connected reductive group defined over a p-adic field F which splits over a tamely ramified extension of F, and let G = $\mathbb{G}(F)$. We also assume that the residual characteristic of F does not divide the order of the Weyl group of $\mathbb{G}$. Following J.K. Yu's construction, the irreducible supercuspidal representation constructed from the G-datum $\Psi$ is denoted $\pi_G(\Psi)$. The datum $\Psi$ contains an irreducible depth-zero supercuspidal representation, which we refer to as the depth-zero part of the datum. Under our hypotheses, the J.K. Yu Construction is exhaustive. Given a connected reductive F-subgroup $\mathbb{H}$ that contains the derived subgroup of $\mathbb{G}$, we study the restriction $\pi_G(\Psi)|_H$ and obtain a description of its decomposition into irreducible components along with their multiplicities. We achieve this by first describing a natural restriction process from which we construct H-data from the G-datum $\Psi$. We then show that the obtained H-data, and conjugates thereof, construct the components of $\pi_G(\Psi)|_H$, thus providing a very precise description of the restriction. Analogously, we also describe an extension process that allows to construct G-data from an H-datum $\Psi_H$. Using Frobenius Reciprocity, we obtain a description for the components of $\Ind_H^G\pi_H(\Psi_H)$. From the obtained description of $\pi_G(\Psi)|_H$, we prove that the multiplicity in $\pi_G(\Psi)|_H$ is entirely determined by the multiplicity in the restriction of the depth-zero piece of the datum. Furthermore, we use Clifford theory to obtain a formula for the multiplicity of each component in $\pi_G(\Psi)|_H$. As a particular case, we take a look at the regular depth-zero supercuspidal representations and obtain a condition for a multiplicity free restriction. Finally, we show that our methods can also be used to define a restriction of Kim-Yu types, allowing to study the restriction of irreducible representations which are not supercuspidal.
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Mugodo, James, and n/a. "Plant species rarity and data restriction influence the prediction success of species distribution models." University of Canberra. Resource, Environmental & Heritage Sciences, 2002. http://erl.canberra.edu.au./public/adt-AUC20050530.112801.

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There is a growing need for accurate distribution data for both common and rare plant species for conservation planning and ecological research purposes. A database of more than 500 observations for nine tree species with different ecological and geographical distributions and a range of frequencies of occurrence in south-eastern New South Wales (Australia) was used to compare the predictive performance of logistic regression models, generalised additive models (GAMs) and classification tree models (CTMs) using different data restriction regimes and several model-building strategies. Environmental variables (mean annual rainfall, mean summer rainfall, mean winter rainfall, mean annual temperature, mean maximum summer temperature, mean minimum winter temperature, mean daily radiation, mean daily summer radiation, mean daily June radiation, lithology and topography) were used to model the distribution of each of the plant species in the study area. Model predictive performance was measured as the area under the curve of a receiver operating characteristic (ROC) plot. The initial predictive performance of logistic regression models and generalised additive models (GAMs) using unrestricted, temperature restricted, major gradient restricted and climatic domain restricted data gave results that were contrary to current practice in species distribution modelling. Although climatic domain restriction has been used in other studies, it was found to produce models that had the lowest predictive performance. The performance of domain restricted models was significantly (p = 0.007) inferior to the performance of major gradient restricted models when the predictions of the models were confined to the climatic domain of the species. Furthermore, the effect of data restriction on model predictive performance was found to depend on the species as shown by a significant interaction between species and data restriction treatment (p = 0.013). As found in other studies however, the predictive performance of GAM was significantly (p = 0.003) better than that of logistic regression. The superiority of GAM over logistic regression was unaffected by different data restriction regimes and was not significantly different within species. The logistic regression models used in the initial performance comparisons were based on models developed using the forward selection procedure in a rigorous-fitting model-building framework that was designed to produce parsimonious models. The rigorous-fitting modelbuilding framework involved testing for the significant reduction in model deviance (p = 0.05) and significance of the parameter estimates (p = 0.05). The size of the parameter estimates and their standard errors were inspected because large estimates and/or standard errors are an indication of model degradation from overfilling or effecls such as mullicollinearily. For additional variables to be included in a model, they had to contribule significantly (p = 0.025) to the model prediclive performance. An attempt to improve the performance of species distribution models using logistic regression models in a rigorousfitting model-building framework, the backward elimination procedure was employed for model selection, bul it yielded models with reduced performance. A liberal-filling model-building framework that used significant model deviance reduction at p = 0.05 (low significance models) and 0.00001 (high significance models) levels as the major criterion for variable selection was employed for the development of logistic regression models using the forward selection and backward elimination procedures. Liberal filling yielded models that had a significantly greater predictive performance than the rigorous-fitting logistic regression models (p = 0.0006). The predictive performance of the former models was comparable to that of GAM and classification tree models (CTMs). The low significance liberal-filling models had a much larger number of variables than the high significance liberal-fitting models, but with no significant increase in predictive performance. To develop liberal-filling CTMs, the tree shrinking program in S-PLUS was used to produce a number of trees of differenl sizes (subtrees) by optimally reducing the size of a full CTM for a given species. The 10-fold cross-validated model deviance for the subtrees was plotted against the size of the subtree as a means of selecting an appropriate tree size. In contrast to liberal-fitting logistic regression, liberal-fitting CTMs had poor predictive performance. Species geographical range and species prevalence within the study area were used to categorise the tree species into different distributional forms. These were then used, to compare the effect of plant species rarity on the predictive performance of logistic regression models, GAMs and CTMs. The distributional forms included restricted and rare (RR) species (Eucalyptus paliformis and Eucalyptus kybeanensis), restricted and common (RC) species (Eucalyptus delegatensis, Eucryphia moorei and Eucalyptus fraxinoides), widespread and rare (WR) species (Eucalyptus data) and widespread and common (WC) species (Eucalyptus sieberi, Eucalyptus pauciflora and Eucalyptus fastigata). There were significant differences (p = 0.076) in predictive performance among the distributional forms for the logistic regression and GAM. The predictive performance for the WR distributional form was significantly lower than the performance for the other plant species distributional forms. The predictive performance for the RC and RR distributional forms was significantly greater than the performance for the WC distributional form. The trend in model predictive performance among plant species distributional forms was similar for CTMs except that the CTMs had poor predictive performance for the RR distributional form. This study shows the importance of data restriction to model predictive performance with major gradient data restriction being recommended for consistently high performance. Given the appropriate model selection strategy, logistic regression, GAM and CTM have similar predictive performance. Logistic regression requires a high significance liberal-fitting strategy to both maximise its predictive performance and to select a relatively small model that could be useful for framing future ecological hypotheses about the distribution of individual plant species. The results for the modelling of plant species for conservation purposes were encouraging since logistic regression and GAM performed well for the restricted and rare species, which are usually of greater conservation concern.
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Rae, Mary Nichols. "DISABILITY AND RESTRICTION OF OPPORTUNITIES IN THE WORKPLACE: DATA FROM THE NATIONAL HEALTH INTERVIEW SURVEY (NHIS)." Cincinnati, Ohio : University of Cincinnati, 2000. http://www.ohiolink.edu/etd/view.cgi?ucin971880292.

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Garb, Leanna Rose. "Stroop Task as a Measure of Executive Functioning in Older Adults: Preliminary Data from a Multi-Site Study of Moderate Sleep Restriction." Thesis, The University of Arizona, 2013. http://hdl.handle.net/10150/297566.

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Aim of Multi-Site Sleep Study is to examine the effects of chronic moderate sleep restriction on adults. Participants must be between 60- 80 years and sleep 8-9 hours (long sleepers) or 6-7.25 (average sleepers) hours per night. For my thesis, I will examine the first year data of the Stroop task (pre and posttest) looking at Stroop interference and Stroop time. My hypotheses are that long sleepers will benefit from moderate sleep restriction, but average sleepers will not. I predict no change will occur for the control group (both average and long sleepers). The study is fourteen weeks. Following baseline, participants will be assigned to the sleep restriction treatment or control treatment. The sleep restriction group will get an hour less of nightly sleep. Participants in the control group will get the same amount of sleep as baseline. Analysis revealed that there was a main effect of pre-post for interference of the Stroop task. There was no significant main effect of group or interaction between pre-post and group. For part 1, 2, and 3 Stroop time, there was a main effect of pre-post. There was no significant main effect of group or interaction between pre-post and group.
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Magnusson, Victor. "Cut off cross-border data flow and international investment law. : A legal analysis of a restriction with an effect equivalent of a ban on cross-border data flow and the fair and equitable treatment standard found in bilateral investment treaties." Thesis, Uppsala universitet, Juridiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-443840.

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In the world we live in today, the international trade and economy is becoming more and more dependent on data. Data that can be transferred across borders and during the last couple of years there is an observable trend that the cross-border data flows is increasing. The increase of the cross-border data flows is a result of the vast boom in the global digitalization.  Businesses and enterprises can use the data accessible in multiple kinds of ways, follow and keep control of production chains, follow the demand of consumers, and make alterations to the products following the requests of the consumers. This is improving the efficiency and productivity of the businesses. The free flow of data across borders does not only have positive effect for the businesses, but also from a larger perspective, it also contributes to the welfare of countries, and provide new possibilities and opportunities. Despite the fact that the free flow of data has its great effects on both businesses and the welfare of states, states are imposing restrictions on cross-border data flows. The restrictions in place are of deferent kinds, some makes it mandatory to store or process data, while other restrictions are harsher and could provide a ban or cut off on cross-border data flow.  In the legal system of international investment law, the fair and equitable treatment standard is a standard found in treaties, bilateral and multilateral. The standard is protecting the forging investors.  If a state is enforcing a restriction with an effect equivalent to a ban on cross-border data flow, what is the relation of that restriction to the fair and equitable treatment standard?
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Sjöberg, Sofia. "Utilizing research in the practice of personnel selection : General mental ability, personality, and job performance." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-101976.

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Identifying and hiring the highest performers is essential for organizations to remain competitive. Research has provided effective guidelines for this but important aspects of these evidence-based processes have yet to gain acceptance among practitioners. The general aim of this thesis was to help narrowing the gap between research and practice concerning personnel selection decisions. The first study compared the validity estimates of general mental ability (GMA) and the five factor model of personality traits as predictors of job performance, finding that, when the recently developed indirect correction for range restriction was applied, GMA was an even stronger predictor of job performance than previously found, while the predictive validity of the personality traits remained at similar levels. The approach used for data collection and combination is crucial to forming an overall assessment of applicants for selection decisions and has a great impact on the validity of the decision. The second study compared the financial outcomes of applying a mechanical or clinical approach to combining predictor scores. The results showed that the mechanical approach can result in a substantial increase in overall utility. The third study examined the potential influences that practitioners’ cognitive decision-making style, accountability for the assessment process, and responsibility for the selection decision had on their hiring approach preferences. The results showed that practitioners scoring high on intuitive decision-making style preferred a clinical hiring approach, while the contextual aspects did not impact practitioners’ preferences. While more research may be needed on practitioner preferences for a particular approach, the overall results of this thesis support and strengthen the predictive validity of GMA and personality traits, and indicate that the mechanical approach to data combination provides increased utility for organizations.<br><p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Manuscript.</p>
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Vlatsa, Dimitra A. "Data envelopment analysis with intensity restrictions." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/24909.

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Books on the topic "Restriction of data"

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Wetterer, Andrea L. Phylogeny of phyllostomid bats (Mammalia, Chiroptera): Data from diverse morphological systems, sex chromosomes, and restriction sites. American Museum of Natural History, 2000.

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Leatherberry, Earl C. Using forest inventory data to assess use restrictions on private timberland in Illinois. U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station, 1993.

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Mahmood, Shaukat. Rent restriction laws: Exhaustive commentary with upto date amendments on Punjab Urban Rent Restriction Ord., with amendments made by North-West Frontier Province ... 9th ed. Legal Research Centre, 1993.

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McDaniel, Terri Parker and James B. Summary of Federal Law Restricting Use of Highway Safety Data in Tort Litigation. Transportation Research Board, 2016. http://dx.doi.org/10.17226/24646.

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Larner, A. G. The legal and institutional restrictions on the handling of digital related data in the United Kingdom. University of East London, 1996.

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Office, General Accounting. Federal firearms licensee data: ATF's compliance with statutory restrictions : report to the Chairman, Subcommittee on Treasury, Postal Service, and General Government, Committee on Appropriations, House of Representatives. The Office, 1996.

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Office, General Accounting. Defense acquisition: Rationale for imposing domestic source restrictions : report to the Honorable John McCain, U.S. Senate. The Office, 1998.

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Mahmood, M. The principles of rent laws: I.e. a comprehensive and exhaustive commentary on West Pakistan Urban Rent Restriction Ordinance, 1959 (Ordinance VI of 1959), Sind Rented Premises Ordinance, 1979 (Ordinance XVII of 1979), the Cantonment Rent Restriction Act, 1963 (Act XI of 1963) : amendments and case law upto date. Pakistan Law Times Publications, 1990.

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Office, General Accounting. Department of Education: Compliance with the Federal Advisory Committee Act and lobbying restrictions : report to the Honorable Larry E. Craig, U.S. Senate. The Office, 1999.

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Rabkin, Norman J. Alcohol, tobacco and firearms: Issues related to use of force, dealer licensing, and data restrictions : statement of Norman J. Rabkin, Director, Administration of Justice Issues, General Government Division, before the Subcommittee on Treasury, Postal Service, and General Government, Committee on Appropriations, House of Representatives. The Office, 1996.

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Book chapters on the topic "Restriction of data"

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Olson, Sue A. "MacVector: Restriction Enzyme Analysis." In Computer Analysis of Sequence Data. Humana Press, 1994. http://dx.doi.org/10.1385/0-89603-276-0:227.

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Staden, Rodger. "Staden: Searching for Restriction Sites." In Computer Analysis of Sequence Data. Humana Press, 1994. http://dx.doi.org/10.1385/0-89603-276-0:79.

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Lambert, Paul B. "Right to Restriction of Processing." In Essential Introduction to Understanding European Data Protection Rules. Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781138069848-18.

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Lambert, Paul B. "Right to Restriction of Processing." In Essential Introduction to Understanding European Data Protection Rules. Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315115269-18.

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Lambert, Paul B. "Notification Obligation regarding Rectification, Erasure, or Restriction." In Essential Introduction to Understanding European Data Protection Rules. Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781138069848-20.

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Lambert, Paul B. "Notification Obligation regarding Rectification, Erasure, or Restriction." In Essential Introduction to Understanding European Data Protection Rules. Auerbach Publications, 2017. http://dx.doi.org/10.1201/9781315115269-20.

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Dijkstra, Edsger W., and A. J. M. van Gasteren. "A simple fix-point argument without the restriction to continuity." In Control Flow and Data Flow: Concepts of Distributed Programming. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82921-5_15.

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Antonidoss, A. "Real-Time Hierarchical Sensitivity Measure-Based Access Restriction for Efficient Data Retrieval in Cloud." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3329-3_18.

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Athaiya, Snigdha, Raghavan Komondoor, and K. Narayan Kumar. "Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains." In Programming Languages and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_2.

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AbstractAsynchronous message-passing systems are employed frequently to implement distributed mechanisms, protocols, and processes. This paper addresses the problem of precise data flow analysis for such systems. To obtain good precision, data flow analysis needs to somehow skip execution paths that read more messages than the number of messages sent so far in the path, as such paths are infeasible at run time. Existing data flow analysis techniques do elide a subset of such infeasible paths, but have the restriction that they admit only finite abstract analysis domains. In this paper we propose a generalization of these approaches to admit infinite abstract analysis domains, as such domains are commonly used in practice to obtain high precision. We have implemented our approach, and have analyzed its performance on a set of 14 benchmarks. On these benchmarks our tool obtains significantly higher precision compared to a baseline approach that does not elide any infeasible paths and to another baseline that elides infeasible paths but admits only finite abstract domains.
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Albert, Victor A., Brent D. Mishler, and Mark W. Chase. "Character-State Weighting for Restriction Site Data in Phylogenetic Reconstruction, with an Example from Chloroplast DNA." In Molecular Systematics of Plants. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3276-7_16.

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Conference papers on the topic "Restriction of data"

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Zhezhnych, Pavlo, and Dmytro Tarasov. "Methods of Data Processing Restriction in ERP Systems." In 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2018. http://dx.doi.org/10.1109/stc-csit.2018.8526734.

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Li, Weifeng, and Minghui Jiang. "Research of Multi-objective Optimization with Time Restriction." In Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/msbda-19.2019.39.

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Li, Honglin, and Zhiguo Gong. "Breaking the Top-k Restriction of the kNN Hidden Databases." In 2016 7th International Conference on Cloud Computing and Big Data (CCBD). IEEE, 2016. http://dx.doi.org/10.1109/ccbd.2016.066.

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Cui, Yan-rong. "Data Query Protocol with Restriction Flooding in Wireless Sensor Networks." In 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC 2009). IEEE, 2009. http://dx.doi.org/10.1109/nswctc.2009.325.

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Pardal, Miguel L., Mark Harrison, and Jose Alves Marques. "Assessment of visibility restriction mechanisms for RFID data Discovery Services." In 2012 IEEE International Conference on RFID (IEEE RFID 2012). IEEE, 2012. http://dx.doi.org/10.1109/rfid.2012.6193045.

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Luo, Yuejun, Lin Li, and Li Zheng. "The implementation of the shortest path algorithm with turn restriction traffic rule." In MIPPR 2005 Geospatial Information, Data Mining, and Applications, edited by Jianya Gong, Qing Zhu, Yaolin Liu, and Shuliang Wang. SPIE, 2005. http://dx.doi.org/10.1117/12.651838.

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Xie, Min, Raymond Chi-Wing Wong, Jian Li, Cheng Long, and Ashwin Lall. "Efficient k-Regret Query Algorithm with Restriction-free Bound for any Dimensionality." In SIGMOD/PODS '18: International Conference on Management of Data. ACM, 2018. http://dx.doi.org/10.1145/3183713.3196903.

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Zhao, Weihu, Yinghui Xue, Guijin Xia, Shuai Ren, and Mingjiang Zhang. "Resources Scheduling Algorithm for Multi-relay-Satellite System with Multi-restriction." In 2019 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). IEEE, 2019. http://dx.doi.org/10.1109/icitbs.2019.00117.

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Nakajima, Yuu, Kana Tajima, Yoshiyuki Kitajima, and Reiko Hishiyama. "Study of a Multilingual Translation Process Using Statement Restriction Rules." In 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD). IEEE, 2017. http://dx.doi.org/10.1109/acit-csii-bcd.2017.22.

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Lu, Yaosong, Weijie Liu, and Wenhao Wang. "Atomic Restriction: Hardware Atomization to Defend Against Preemption Attacks." In 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2020. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00071.

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Reports on the topic "Restriction of data"

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Imbens, Guido, and Judith Hellerstein. Imposing Moment Restrictions from Auxiliary Data by Weighting. National Bureau of Economic Research, 1996. http://dx.doi.org/10.3386/t0202.

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Graham, Bryan. Efficiency bounds for missing data models with semiparametric restrictions. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14376.

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Leatherberry, Earl C. Using forest inventory data to assess use restrictions on private timberland in Illinois. U.S. Department of Agriculture, Forest Service, North Central Research Station, 1993. http://dx.doi.org/10.2737/nc-rb-149.

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Zwetsloot, Remco, Ryan Fedasiuk, and Emily Weinstein. Assessing the Scope of U.S. Visa Restrictions on Chinese Students. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200076.

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In May 2020, the White House announced it would deny visas to Chinese graduate students and researchers who are affiliated with organizations that implement or support China’s military-civil fusion strategy. The authors discuss several ways this policy might be implemented. Based on Chinese and U.S. policy documents and data sources, they estimate that between three and five thousand Chinese students might be prevented from entering U.S. graduate programs each year.
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Nguyen, Thin, Sunil Gupta, Jaishankar Raman, Rinaldo Bellomo, and Svetha Venkatesh. Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions. Critical Care and Resuscitation, 2020. http://dx.doi.org/10.51893/2020.4.sc1.

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Using geotagged Twitter data in Victoria, we created a mobility index and studied the changes during the staged restrictions during the coronavirus disease 2019 (COVID-19) pandemic. We describe preliminary evidence that geotagged Twitter data may be used to provide real-time population mobility data and information on the impact of restrictions on such mobility.
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Lazdane, Gunta, Dace Rezeberga, Ieva Briedite, et al. Sexual and reproductive health in the time of COVID-19 in Latvia, qualitative research interviews and focus group discussions, 2020 (in Latvian). Rīga Stradiņš University, 2021. http://dx.doi.org/10.25143/fk2/lxku5a.

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Qualitative research is focused on the influence of COVID-19 pandemic and restriction measures on sexual and reproductive health in Latvia. Results of the anonymous online survey (I-SHARE) of 1173 people living in Latvia age 18 and over were used as a background in finalization the interview and the focus group discussion protocols ensuring better understanding of the influencing factors. Protocols included 9 parts (0.Introduction. 1. COVID-19 general influence, 2. SRH, 3. Communication with health professionals, 4.Access to SRH services, 5.Communication with population incl. three target groups 5.1. Pregnant women, 5.2. People with suspected STIs, 5.3.Women, who require abortion, 6. HIV/COVID-19, 7. External support, 8. Conclusions and recommendations. Data include audiorecords in Latvian of: 1) 11 semi-structures interviews with policy makers including representatives from governmental and non-governmental organizations involved in sexual and reproductive health, information and health service provision. 2) 12 focus group discussions with pregnant women (1), women in postpartum period (3) and their partners (3), people living with HIV (1), health care providers involved in maternal health care and emergency health care for women (4) (2021-02-18) Subject: Medicine, Health and Life Sciences Keywords: Sexual and reproductive health, COVID-19, access to services, Latvia
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Carranza, Juan Esteban, Juan David Martin, and Álvaro José Riascos. The COVID epidemic and the economic activity with acquired immunity. Banco de la República de Colombia, 2020. http://dx.doi.org/10.32468/be.1147.

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We calibrate a macroeconomic model with epidemiological restrictions using Colombian data. The key feature of our model is that a portion of the population is immune and cannot transmit the virus, which improves substantially the fit of the model to the observed contagion and economic activity data. The model implies that government restrictions and the endogenous changes in individual behavior saved around 15,000 lives and decreased consumption in 2020 by about 4.7%. The results suggest that most of this effect was the result of the government policies.
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Perez-Vincent, Santiago M., Ernesto Schargrodsky, and Mauricio García Mejía. Crime under Lockdown: The Impact of COVID-19 on Citizen Security in the City of Buenos Aires. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003431.

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This paper studies the impact of the COVID-19 pandemic and the subsequent lockdown on criminal activity in the City of Buenos Aires, Argentina. We find a large, significant, robust, and immediate decline in crime following quarantine restrictions. We observe the effect on property crime reported to official agencies, police arrests, and crime reported in victimization surveys, but not in homicides. The decrease in criminal activity was greater in business and transportation areas, but still large in commercial and residential areas (including informal settlements). After the sharp and immediate fall, crime recovered but, as of November 2020, it did not reach its initial levels. The arrest data additionally allow us to measure the distance from the detainees address to the crime location. Crime became more local as mobility was restricted.
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Beuermann, Diether, Nicolas L. Bottan, Bridget Hoffmann, Jeetendra Khadan, and Diego A. Vera-Cossio. Suriname COVID-19 Survey. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003266.

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This dataset constitutes a panel follow-up to the 2016/2017 Suriname Survey of Living Conditions. It measures welfare related variables before and after the onset of the COVID-19 pandemic including labor market outcomes, financial literacy, and food security. The survey was executed in August 2020. The Suriname COVID-19 Survey is a project of the Inter-American Development Bank (IDB). It collected data on critical socioeconomic topics in the context of the COVID-19 pandemic to support policymaking and help mitigate the crisis impacts on the populations welfare. The survey recontacted households interviewed in 2016/2017 by the Suriname Survey of Living Conditions (SSLC) and was conducted by phone due to the mobility restrictions and social distancing measures in place. It interviewed 1,016 households during August 2020 and gathered information about disease transmission, household finances, labor, income, remittances, spending, and social protection programs. Data and documentation of the 2016/2017 Suriname Survey of Living Conditions can be found at: https://publications.iadb.org/en/suriname-survey-living-conditions-2016-2017 The survey was designed and implemented by Sistemas Integrales. This publication describes the main methodological aspects, such as sample design, estimation procedures, topics covered by the questionnaire, field organization and quality control. It also presents the structure and codebook for the two resulting publicly available datasets.
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Shen, Dong, Zhuang Xiong, Yangyang Liu, et al. Efficacy and safety of Chinese herbal medicine combined with Sorafenib in the treatment of primary liver cancer: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.9.0024.

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The aim of this systematic review is to compare Chinese herbal medicine combined with Sorafenib in terms of efficacy and acceptability in the primary liver cancer to better inform clinical practice. To this end, the proposed systematic review will address the following question: Which is the best choice to reduce Efficacy and safety in Patients with primary liver cancer, Chinese herbal medicine combined with Sorafenib or Sorafenib.this systematic review and meta-analysis will evaluate the efficacy and Sorafenib combined with Chinese herbal medicine in the treatment of PLC. Information sources: We will search the following databases from inception up to September 8, 2021: PubMed, Web of Science, Embase, AMED, Cochrane Library, CNKI, VIP, CBM, and Wanfang. There will be no restrictions regarding publication date or language. We will apply a combination of medical keywords and words, including "Sorafenib", "Chinese herbal medicine" and "primary liver cancer". Additionally, we will manually search all reference lists from relevant systematic reviews to find other eligible studies.
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