Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure kNN Query Processing in Untrusted Cloud Environments

Mobile devices with geo-positioning capabilities (e.g., GPS) enable users to access information that is relevant to their present location. Users are interested in querying about points of interest (POI) in their physical proximity, such as restaurants, cafes, ongoing events, etc. Entities specialized in various areas of interest (e.g., certain niche directions in arts, entertainment, travel) gather large amounts of geo-tagged data that appeal to subscribed users. Such data may be sensitive due to their contents. Furthermore, keeping such information up-to-date and relevant to the users is not an easy task, so the owners of such data sets will make the data accessible only to paying customers. Users send their current location as the query parameter, and wish to receive as result the nearest POIs, i.e., nearest-neighbors (NNs). But typical data owners do not have the technical means to support processing queries on a large scale, so they outsource data storage and querying to a cloud service provider. Many such cloud providers exist who offer powerful storage and computational infrastructures at low cost. However, cloud providers are not fully trusted, and typically behave in an honest-but-curious fashion. Specifically, they follow the protocol to answer queries correctly, but they also collect the locations of the POIs and the subscribers for other purposes. Leakage of POI locations can lead to privacy breaches as well as financial losses to the data owners, for whom the POI data set is an important source of revenue. Disclosure of user locations leads to privacy violations and may deter subscribers from using the service altogether. In this paper, we propose a family of techniques that allow processing of NN queries in an untrusted outsourced environment, while at the same time protecting both the POI and querying users' positions. Our techniques rely on mutable order preserving encoding (mOPE), the only secure order-preserving encryption method known to-date. We also provide performance optimizations to decrease the computational cost inherent to processing on encrypted data, and we consider the case of incrementally updating data sets. We present an extensive performance evaluation of our techniques to illustrate their viability in practice.
Creating Property Rights: Land Banks in Ghana

Insecure property rights over land have multiple ramifications for agriculture and the organization of rural economic activity (Besley and Ghatak 2009). The risk that land will be expropriated deters investment. Insecure property rights reduce the ability of borrowers to pledge land as collateral and thus tighten credit constraints. Ill-defined property right over land can inhibit land transactions – rentals or sales – and potential gains from trade are lost. Scarce resources, like labor, may be devoted to protecting one’s insecure rights over plots (Field 2007). In Ghana, land rights are typically gained by virtue of membership in a corporate group (e.g., extended family), but a robust market is emerging for land purchases and rentals, particularly in urban and periurban areas. Informal land markets in Ghana are beset with a number of problems including land conflicts, protracted litigation and adjudication failures, documentation bottlenecks and uncertainty. Land legislation in Ghana is perceived as incoherent, conflicting and often outdated. An unwieldy public land sector dominates the documentation of land rights, revenue collection and distribution. Land conflicts are becoming more frequent, judicial processes are overburdened, authority is overcentralized and corrupt. Conflict over multiple claims to particular plots occasionally becomes violent. Goldstein and Udry (2008) document the large investment disincentive effects of insecure tenure in agriculture in Ghana. Almost 80% of Ghana’s land is held by customary landowners, mainly families, clans and traditional authorities (Kasanga and Kotey, 2001). These owners often do not record transactions; indeed, many are clothed in secrecy. As land transactions gradually move away from their familial/corporate base to short term rental for commercial purposes, multiple simultaneous transactions on the same plot have be-
Reducing the Error Accumulation in Car-Following Models Calibrated With Vehicle Trajectory Data

With the development of probe vehicle technologies and the emerging connected vehicle technologies, applications and models using trajectory data for calibration and validation significantly increase. However, the error accumulation issue accompanied by the calibration process has not been fully investigated and addressed. This paper explores the mechanism and countermeasures of the error accumulation problems of car-following models calibrated with microscopic vehicle trajectory data. In this paper, we first derive the error dynamic model based on an acceleration-based generic car-following model formulation. The stability conditions for the error dynamic model are found to be different from the model stability conditions. Therefore, adjusting feasible ranges of model parameters in the car-following model calibration to ensure model stability cannot guarantee the error stability. However, directly enforcing those error stability conditions can be ineffective, particularly when explicit formulations are difficult to obtain. To overcome this issue, we propose several countermeasures that incorporate error accumulation indicators into the error measures used in the calibration. Numerical experiments are conducted to compare the traditional and the proposed error measures through the calibration of five representative car-following models, i.e., General Motors, Bando, Gipps, FREeway SIMulation (FRESIM), and intelligent driver model (IDM) models, using field trajectory data. The results indicate that the weighted location mean absolute error (MAE) and the location MAE with crash rate penalty can achieve the best overall error accumulation performance for all five models. Meanwhile, traditional error measures, velocity MAE, and velocity Theil's U also achieve satisfactory error accumulation performance for FRESIM and IDM models, respectively.
Variety protection by use of molecular markers: Some case studies on ornamentals

ABSTRACT In vegetatively propagated ornamentals, new varieties can be obtained from i. ) conventional breeding and selection or ii. ) spontaneous or induced variant types of existing varieties. Indeed, variant types enlarge the assortment to be produced without the need to alter production systems. However, they inherit the breeding effort needed to create a completely new and profitable variety. Therefore, the breeder of the initial variety might want to claim at least part of the profits under the form of a royalty on what is considered as essentially derived varieties (EDV). To detect either EDV or fraud, criteria based on plant morphology are insufficient or even not applicable. Here, some case studies are presented to illustrate the possibilities and the limitations of AFLP fingerprinting in disputes on fraud and essential derivation of ornamental plants. No differences were detected between fingerprints of different azalea bud sports, all belonging to the commercially important “Hellmut Vogel˚d group. In roses, it was possible to elucidate the irregular application for breeders' protection for a bud sport of a registered rose cultivar. This was confirmed by fingerprinting the putative parents given in the application file. In Phalaenopsis, a breeder tried to broaden the protection he received on a variant derived from an old free variety, to a similar clone. After fingerprinting, both parties decided to close the case.
Effectiveness and safety of Liuhedan for treating acute pancreatitis

Abstract Background: Liuhedan is a famous traditional Chinese medicine (TCM) formula used to treat acute pancreatitis (AP) in China. However, there is no systematic reviews for the evidence and the therapeutic effectiveness and safety of Liuhedan for treating AP. The aim of this study is to summarize previous evidence, assessing the efficacy and safety of Liuhedan in the treatment of AP. Methods: We will search the EMBASE, WANFANG DATA, Web of Knowledge, CNKI, PubMed, ClinicalTrials.gov and Cochrane Library from inception to June 30, 2021 to retrieve relevant studies using the search strategy: (“Liuhedan” OR “Liuhe Pill” OR “Liu-He-Dan”) AND (“pancreatitis” OR “pancreatitides”). Two authors independently judged study eligibility and extracted data. Heterogeneity will be examined by computing the Q statistic and I2 statistic. Results: This study assessed the efficiency and safety of Liuhedan for treating acute pancreatitis. Conclusions: This study will provide reliable evidence-based evidence for the clinical application of Liuhedan for treating AP. Ethics and dissemination: Ethical approval is unnecessary as this protocol is only for systematic review and does not involve privacy data. The findings of this study will be disseminated electronically through a peer-review publication or presented at a relevant conference.
Semi-supervised Active Regression

Labelled data often comes at a high cost as it may require recruiting human labelers or running costly experiments. At the same time, in many practical scenarios, one already has access to a partially labelled, potentially biased dataset that can help with the learning task at hand. Motivated by such settings, we formally initiate a study of $semi-supervised$ $active$ $learning$ through the frame of linear regression. In this setting, the learner has access to a dataset $X \in \mathbb{R}^{(n_1+n_2) \times d}$ which is composed of $n_1$ unlabelled examples that an algorithm can actively query, and $n_2$ examples labelled a-priori. Concretely, denoting the true labels by $Y \in \mathbb{R}^{n_1 + n_2}$, the learner's objective is to find $\widehat{\beta} \in \mathbb{R}^d$ such that, \begin{equation} \| X \widehat{\beta} - Y \|_2^2 \le (1 + \epsilon) \min_{\beta \in \mathbb{R}^d} \| X \beta - Y \|_2^2 \end{equation} while making as few additional label queries as possible. In order to bound the label queries, we introduce an instance dependent parameter called the reduced rank, denoted by $R_X$, and propose an efficient algorithm with query complexity $O(R_X/\epsilon)$. This result directly implies improved upper bounds for two important special cases: (i) active ridge regression, and (ii) active kernel ridge regression, where the reduced-rank equates to the statistical dimension, $sd_\lambda$ and effective dimension, $d_\lambda$ of the problem respectively, where $\lambda \ge 0$ denotes the regularization parameter. For active ridge regression we also prove a matching lower bound of $O(sd_\lambda / \epsilon)$ on the query complexity of any algorithm. This subsumes prior work that only considered the unregularized case, i.e., $\lambda = 0$.
Supplementary Material for: Diffusion pseudotime robustly reconstructs lineage branching

8 DropSeq differentiation data 17 8.1 Pre-processing . 17 8.2 Clustering . 18 8.3 GO enrichment analysis . 20 8.4 Differential expression on branches . 20
Antibiotic resistance associated with air quality and transferred by airborne particulate matter

Background: Environmental spread of antibiotic resistance has become a public health problem, but the relationship between air quality and antibiotic resistance has not been fully investigated, the effect and mechanism of air pollutants on horizontal genes transfer of antibiotic resistance are rarely mentioned. Results: In the present study, significant correlation ( P < 0.05) between resistance rates of 10 clinical antibiotic-resistant pathogens and number of days when air quality index was below 100 were observed in an extensive survey from 2014 to 2017 in China. In addition, characterization of antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), and bacterial communities in airborne particulate matter (PM), dust, and human airway sputum samples were profiled in a hospital. PM 2.5 and PM 10 were shown to contain ARGs and MGEs high relative abundance and diversity index. Importantly, transferable multi-resistant plasmids were identified from air, e.g., pTAir-3 with 26 MGEs and 10 ARGs, using conjugative mating assays and nanopore sequencing . Furthermore, PM 2.5 and PM 10 significantly enhanced the conjugative transfer frequencies between bacteria, via inducing increased levels of reactive oxygen species and cell membrane permeability; upregulated gene expression levels were confirmed by genome-wide RNA sequencing. Conclusions: These findings provide a new perspective on antibiotic resistance research and have profound implications for antibiotic resistance control in clinics and environments.
Course of lectures on magnetism of lanthanide ions under varying ligand and magnetic fields RWTH

1 Magnetic properties of free lanthanide ions: an overview 3 1.1 Electronic structure and Hund’s rules . 3 1.2 Energetic effects . 3 1.3 Magnetic behaviour of Ln ions . 4 1.3. 1 Ground multiplet thermally isolated (∆E(J, J − 1) ≫ kBT ) . 4 1.3. 2 Ground multiplet thermally not isolated (∆E(J, J − 1) ≈ kBT ) . 5 Problems . 6
Interpolation Spaces: An Introduction

1. Some Classical Theorems. - 1.1. The Riesz-Thorin Theorem. - 1.2. Applications of the Riesz-Thorin Theorem. - 1.3. The Marcinkiewicz Theorem. - 1.4. An Application of the Marcinkiewicz Theorem. - 1.5. Two Classical Approximation Results. - 1.6. Exercises. - 1.7. Notes and Comment. - 2. General Properties of Interpolation Spaces. - 2.1. Categories and Functors. - 2.2. Normed Vector Spaces. - 2.3. Couples of Spaces. - 2.4. Definition of Interpolation Spaces. - 2.5. The Aronszajn-Gagliardo Theorem. - 2.6. A Necessary Condition for Interpolation. - 2.7. A Duality Theorem. - 2.8. Exercises. - 2.9. Notes and Comment. - 3. The Real Interpolation Method. - 3.1. The K-Method. - 3.2. The J-Method. - 3.3. The Equivalence Theorem. - 3.4. Simple Properties of ? , q. - 3.5. The Reiteration Theorem. - 3.6. A Formula for the K-Functional. - 3.7. The Duality Theorem. - 3.8. A Compactness Theorem. - 3.9. An Extremal Property of the Real Method. - 3.10. Quasi-Normed Abelian Groups. - 3.11. The Real Interpolation Method for Quasi-Normed Abelian Groups. - 3.12. Some Other Equivalent Real Interpolation Methods. - 3.13. Exercises. - 3.14. Notes and Comment. - 4. The Complex Interpolation Method. - 4.1. Definition of the Complex Method. - 4.2. Simple Properties of ? [? ]. - 4.3. The Equivalence Theorem. - 4.4. Multilinear Interpolation. - 4.5. The Duality Theorem. - 4.6. The Reiteration Theorem. - 4.7. On the Connection with the Real Method. - 4.8. Exercises. - 4.9. Notes and Comment. - 5. Interpolation of Lp-Spaces. - 5.1. Interpolation of Lp-Spaces: the Complex Method. - 5.2. Interpolation of Lp-Spaces: the Real Method. - 5.3. Interpolation of Lorentz Spaces. - 5.4. Interpolation of Lp-Spaces with Change of Measure: p0 = p1. - 5.5. Interpolation of Lp-Spaces with Change of Measure: p0 ? p1. - 5.6. Interpolation of Lp-Spaces of Vector-Valued Sequences. - 5.7. Exercises. - 5.8. Notes and Comment. - 6. Interpolation of Sobolev and Besov Spaces. - 6.1. Fourier Multipliers. - 6.2. Definition of the Sobolev and Besov Spaces. - 6.3. The Homogeneous Sobolev and Besov Spaces. - 6.4. Interpolation of Sobolev and Besov Spaces. - 6.5. An Embedding Theorem. - 6.6. A Trace Theorem. - 6.7. Interpolation of Semi-Groups of Operators. - 6.8. Exercises. - 6.9. Notes and Comment. - 7. Applications to Approximation Theory. - 7.1. Approximation Spaces. - 7.2. Approximation of Functions. - 7.3. Approximation of Operators. - 7.4. Approximation by Difference Operators. - 7.5. Exercises. - 7.6. Notes and Comment. - References. - List of Symbols.
Association between Fecal Microbiota, SCFA, Gut Integrity Markers and Depressive Symptoms in Patients Treated in the Past with Bariatric Surgery—The Cross-Sectional Study

(1) Background: Depressive symptoms often appear after surgical treatment. (2) Methods: We involved 41 adults who underwent bariatric surgery a minimum of 6 months before the study and had the Beck scale ≥12. We analysed patients’ mental state, gut barrier markers, faecal short chain fatty acids, and microbiota. (3) Results: Gut microbiota composition differed significantly among patients undergoing two different types of surgery (F = 1.64, p = 0.00002). Additionally, we discovered an association between short chain fatty acids and the Beck scale (F = 1.22, p = 0.058). The rearrangement of bacterial metabolites may be due to the patients’ use of increased dietary protein, with insufficient intake of products containing vegetable fiber (Diet Quality Index (DQI-I )adequacy 22.55 (±3.46) points). (4) Conclusions: Bariatric surgery affects the gut microbiota, which may play an important role in the development of depressive and gastrointestinal symptoms in patients after bariatric surgery. Low fiber consumption and increased levels of faecal isobutyric acid may lead to intestinal inflammation. There is a need for further research on this topic including a larger sample size.
PARAFAC2—Part I. A direct fitting algorithm for the PARAFAC2 model

PARAFAC is a generalization of principal component analysis (PCA) to the situation where a set of data matrices is to be analysed. If each data matrix has the same row and column units, the resulting data are three‐way data and can be modelled by the PARAFAC1 model. If each data matrix has the same column units but different (numbers of) row units, the PARAFAC2 model can be used. Like the PARAFAC1 model, the PARAFAC2 model gives unique solutions under certain mild assumptions, whereas it is less severely constrained than PARAFAC1. It may therefore also be used for regular three‐way data in situations where the PARAFAC1 model is too restricted. Usually the PARAFAC2 model is fitted to a set of matrices with cross‐products between the column units. However, this model‐fitting procedure is computationally complex and inefficient. In the present paper a procedure for fitting the PARAFAC2 model directly to the set of data matrices is proposed. It is shown that this algorithm is more efficient than the indirect fitting algorithm. Moreover, it is more easily adjusted so as to allow for constraints on the parameter matrices, to handle missing data, as well as to handle generalizations to sets of three‐ and higher‐way data. Furthermore, with the direct fitting approach we also gain information on the row units, in the form of ‘factor scores’. As will be shown, this elaboration of the model in no way limits the feasibility of the method. Even though full information on the row units becomes available, the algorithm is based on the usually much smaller cross‐product matrices only. Copyright © 1999 John Wiley & Sons, Ltd.
Efficacy of Autologous Hematopoietic Stem Cell Transplantation versus Chemotherapy or Allogeneic Hematopoietic Stem Cell Transplantation for Follicular Lymphoma: Systematic Review and Meta-Analysis

Background: The effect of autologous hematopoietic stem cell transplantation (auto-HSCT) versus conventional chemotherapy or allogeneic hematopoietic stem cell transplantation (allo-HSCT) on the survival of patients with advanced follicular lymphoma (FL) is uncertain. Objectives: To elucidate this, FL and HSCT were used as keywords to search in PubMed, Embase, Web of Science, and Cochrane Library databases. Method: After data extraction and quality evaluation, a total of 13 studies were included, seven of which compared auto-HSCT with conventional chemotherapy and the other six compared allo-HSCT with auto-HSCT to the survival of FL patients. Results: The results showed that auto-HSCT improved overall survival (OS), progression-free survival, and event-free survival of FL patients compared with conventional chemotherapy without auto-HSCT. Compared with allo-HSCT, the patients receiving auto-HSCT had longer OS and lower non-recurrent mortality. Conclusions: Auto-HSCT can provide a survival advantage for patients with FL compared with conventional chemotherapy and allo-HSCT did not result in a survival benefit.
Regulation of hepatic fatty acid oxidation and ketone body production.

PERSPECTIVES AND SUMMARY . ENZYMES OF KETONE BODY SYNTHESIS AND UTILIZATION . fIti! t::r% n":::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: REQUIREMENTS FOR KETOGENESIS . LOCALIZATION OF THE REGULATORY SITE IN KETOGENESIS . Relative Importance of Generation Versus Utilization of Acetyl-CoA . Utilization of acetyl-CoA . Genemtion of acetyl-CoA . The Role of Camitine Acyltransferase . HORMONAL CONTROL OF THE REGULATORY SITE IN KETOGENESIS . RESPONSE TO HORMONAL SIGNALS AT THE REGULATORY SITE . Relationship Between Camitine, Glycogen, and Ketogenesis . The Role of Malonyl-CoA in the Regulation of Ketogenesis . The Role of Exogenous Fatly Acids in the Control of Ketogenesis . Applications of the Model . PHYSIOLOGICAL OVERVIEW . CONCLUSION .
Lignin: occurrence, biogenesis and biodegradation.

I INTRO DUCTION . 455 1.1 Criteria of Lignin Detection . 457 1.2 Lignin Distribution in the Plant Kingdom: A Reevaluation . 458 1.3 Lignin Occurrence . 462 2 LIGNIN B IOG ENE SI S AND S TRUCT URE. 469 2.1 Arogenic Acid . """'"'''''''''''''''''''' 470 2.2 p-Coumaric Acid to £and Z-Monolignols. 471 2.3 Monolignol Transport into the Cell Wall . 472 2.4 Lignin Formation . 473 2.5 Regulation of Lignification . " . "" . ". 476 2.6 Lignin Structure . 477 3 LIGNIN BIO DEGRADATION . 481 3.1 Lignin-like Polymers in White-Rot Fungi . 481 3.2 Criteria of Lignin Degradation . 481 3.3 Lignin Biodegradation by White-Rot Fungi . " . 482 CONCLU SIONS 487
Protein and energy nutrition during lactation.

INTRODUCTION 43 PROTEIN AND ENERGY REQUIREMENTS FOR LACTATION . 44 PROTEIN AND ENERGY METABOLISM DURING LACTATION . 45 DIETARY PROTEIN AND ENERGY: MATERNAL BODY WEIGHT AND COMPOSITION 48 An i ma l S tud i e s. 48 H uman St udie s. 49 DIETARY PROTEIN AND ENERGY: PROTEIN SYNTHESIS . 50 DIETARY PROTEIN AND ENERGY: MILK SECRETION . 52 Animal St udie s. 52 H uman St udie s. 53 POTENTIAL MECHANISMS OF IMPAIRED MILK SECRETION . 57 Blood Concentration s of Hormone s and S ub strate s. 57 Mammary Gland Si ze and Cell ulari ty. 58 Ce l ular Uptake of S ub strate s. 59 CONCLUSIONS . 61
Index of Products

Power Chucks SETRITE® Self-Centering 253 & 263 Series 3 & 6 Jaw Universal Chucks . 4 Easy-SetTM Self-Centering Series 3 & 6 Jaw Universal Chucks . 6 Self-Centering 234 & 235 Series 3 Jaw Chucks . 8 Special Manual Large Thru-Hole Ratary Table Chucks and Lathe Chucks. 10 Chuck Semi-Finished Mounting Plates . 11 Self-Centering Series 342 3 Jaw Universal Iron Body Chucks. 12 Self-Centering Series 333 3 Jaw Universal Value Line Chucks (D & A Type Mounting). 13 Self-Centering Series 332 3 Jaw Universal Chucks (A, L and D Type Mounting) . 14 Series 743 4 Jaw Universal Chucks . 15 2-Jaw Self Centering Scroll Chucks . 16 King Bore Oil Country Series 332EX 3 Jaw UniversalHeavy-Duty Chucks . 17 King Bore Oil Country Series 432EX 4 Jaw Independent Extra Heavy Duty Chucks . 18 Series 441 4 Jaw Independent Chucks . 19 Series 144 Medium-Duty and 145 Heavy-Duty 4-JAW Independent Chucks . 20 Series 432 4 Jaw Standard Steel Body Independent Chucks . 22 Heavy Duty 4 Jaw Independent Chucks . 23 Heavy Duty 4 Jaw Independent XLChucks . 24 4 Jaw Independent Manual VTL Chucks. 25 Self-Centering VTL Manual 3 Jaw Universal . 26 4 Jaw Large Diameter Combination Chucks . 27 Chuck Face Plates up to 275" . 28 Boring Mill Jaws for Parallel Tee-slot and Face Plate Jaws and Radial Tee-slot . 29 Atlas Series MCA Super Thin Square Chucks . 30 Atlas Series NBK Super Thin Round Chucks . 31
Deboop : Una distribució de Linux per a Big Data

4 Sistema operatiu orientat a Big Data 6 4.1 Disseny global de la solució . 7 4.2 VirtualBox . 7 4.3 Debian . 7 4.4 Simple-cdd . 8 4.5 FAI . 8 4.6 Cloudera Manager . 8