Miracle-dz/UniFAR-FTUs huggingface dataset:
AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy

A large amount of valuable information resides in a decentralized attributed social graph, where each user locally maintains a limited view of the graph. However, there exists a conflicting requirement between publishing an attributed social graph and protecting the privacy of sensitive information contained in each user’s local data. In this paper, we aim to collect and generate attributed social graphs in a decentralized manner while providing local differential privacy (LDP) for the collected data. Existing LDP-based synthetic graph generation methods either fail to preserve important graph properties (such as modularity and clustering coefficient) due to excessive noise injection or are unable to process attribute data, thus limiting their adoption and applicability. To overcome these weaknesses, we propose AsgLDP, a novel technique to generate privacy-preserving attributed graph data while satisfying LDP. AsgLDP preserves various graph properties through carefully designing the injected noise and estimating the joint distribution of attribute data. There are two key steps in AsgLDP: 1) collecting and generating graph data while satisfying LDP, and 2) optimizing the privacy-utility tradeoff of the generated data while preserving general graph properties such as the degree distribution, community structure and attribute distribution. Through theoretical analysis as well as experiments over 6 real-world datasets, we demonstrate the effectiveness of AsgLDP in preserving general graph properties such as degree distribution, community structure and attributed community search, while rigorously satisfying LDP. We also show that AsgLDP achieves a superior balance between utility and privacy as compared to the state-of-the-art approaches.
Preparation and Application of Flexible Conductive Fabric Based on Silk

Applications in wearable and implantable electronic information products have increased in recent years, and traditional conductive materials have poor flexibility. To meet the trend of flexible, wearable and implantable electronic devices, flexible conductive materials are widely accepted. Here, we report on a method of preparing a flexible conductive textile material. The graphene is finished onto the surface of the silk fabric by multiple impregnation-reduction methods, and the silk fabric retains good flexibility while obtaining conductivity. Flexible conductive silk also has a good temperature and strain response, and its electrical resistance changes with temperature and strain. The obtained flexible conductive silk fabric has the advantages of both silk fabric and graphene, it has broad application prospects in wearable devices, health care monitoring, and human-machine interface.
Automatic tracing and extraction of text-line and word segments directly in JPEG compressed document images

JPEG is one of the popular and efficient compression algorithms supported in the consumer electronics world. Excessive usage of mobile phones and e-governance applications have all resulted in a huge collection of JPEG compressed document images. The major challenge with these images is that its processing becomes expensive as it requires repeated decompression and recompression operations. Recently, it has been proved that developing algorithms to operate directly on the compressed data is one of the solutions in overcoming the above issue. This research study investigates a novel algorithm for segmentation of text-lines and words directly from JPEG compressed handwritten document images. Segmenting a handwritten document is challenging due to the presence of uneven spacing, variable font sizes, overlapping and touching components, and it becomes much more challenging if it is to be done directly in the compressed image. The proposed technique virtually fixes a vertical stripe at the beginning of the document to detect starting points of text-lines. Then a moving window-based space penetration algorithm is used for tracing the exact line boundary between two text-lines, resolving the issues of space and font variations, touching and overlapping components. Subsequently, a word boundary tracing algorithm is used to segment words.
Associations between perceived injustice, unforgiveness, and psychological well-being among ex-communicants

Through the experiences of individuals excommunicated from a small religious sect (N = 95), we explored the association between perceptions of injustice resulting from chronic social exclusion and reduced psychological well-being. We also tested whether unforgiveness toward the church—particularly a tendency for participants to experience lingering negative affect and rumination about their treatment by the church—mediates this association. Analysis of responses to an online survey about participants’ experiences of chronic ostracism revealed the predicted association between perceived injustice and both anxiety and loneliness but not depression and supported our prediction that emotional-ruminative unforgiveness explains this association. Our findings also call into question whether the psychological outcomes of prolonged social exclusion are necessarily chronic and debilitating.
An AHP-SWOT-Fuzzy TOPSIS Approach for Achieving a Cross-Border RES Cooperation

The emerging need to tackle climate change and mitigate greenhouse gas emissions has led to the consolidation of interest in renewable energy sources (RES) setting specific targets in the European area. To achieve the ambitious targets set, Member States are given the opportunity to cooperate with one or more of their developing neighboring countries. The aim of this paper is to develop a methodological framework based on the combination of the Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis with the Analytic Hierarchy Process (AHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) methods for adopting the most appropriate strategic plan, in order to establish a successful energy cooperation that will create beneficial conditions for all the involved parties. The results could be important in facilitating decision makers to assess the role and design of this cooperation mechanism. Key insights will also emerge with regards to opportunities for energy strategy cooperation between Europe and its neighboring countries.
Effect of biologically active supplement feeds on the quality of broiler chicken meat

To determine the biochemical composition of the meat of broiler chickens raised on mixed feed with the addition of biologically active supplements, studies were conducted at the “Sary-Bulak” poultry farm in the Almaty region. The object of the study was broiler chickens of the “Cobb 500” cross. As a result of scientific research, the effectiveness and expediency of the complex use of the supplement feed “Suvar” and the probiotic “Acidophilin B-143” in feeding broiler chickens and their impact on the safety of livestock, live weight gain, slaughter and meat quality were determined. It was found that the optimal dose of the supplement feed “Suvar” is 0.25 ml/kg, and the probiotic “Acidophilin B-143” is 0.13 ml/l of feed during the entire growing period. It was found that the combined use of supplement feeds and probiotics improves the growth and development of pectoralis of broilers in the experimental group. There was also an improvement in the taste of broiler meat based on the results of the tasting.
The Cumulative Cost of Regulations

Abstract We estimate the effects of federal regulation on the value added to GDP for a panel of 22 industries in the United States over a period of 35 years (1977–2012). The structure of our linear specification is explicitly derived from the closed-form solutions of a multisector Schumpeterian model of endogenous growth. We allow regulation to enter the specification in a fairly flexible manner. Our estimates of the model's parameters are then identified from covariation in some standard sector-specific data joined with RegData 2.2, which measures the incidence of regulations on industries based on a text analysis of federal regulatory code. With the model's parameters fitted to real data, we confidently conduct counterfactual experiments on alternative regulatory environments. Our results show that regulatory restrictions have had a net effect of dampening economic growth by approximately 0.8 percent per annum since 1980. Had regulation been held constant at levels observed in 1980, our model predicts that the economy would have been nearly 25 percent larger by 2012 (i.e., regulatory growth since 1980 cost GDP $4 trillion in 2012, or about $13,000 per capita).
UJI EFEK EKSTRAK ETANOL KULIT TERUNG UNGGU (Solanum melongena L.) TERHADAP KADAR GULA DARAH PADA TIKUS PUTIH JANTAN GALUR WISTAR (Rattus norvegicus)

This study aimed to determine the effect of ethanol extract eggplant rind (Solanummelongena L.) on blood sugar levels in white male wistar induced by sucrose. Extraction is done by maceration with 95% ethanol. The subject of the experiment were 15 white male wistar which were divided into 3 (three) groups namely positive control group using metformin 9 mg/Kg body weight, negative control group using CMC 1% and treatment group with the dose of 0,02 g/200 g body weight, 0,01 g/200 g body weight and 0,1 g/200 g body weight. The data is processed using ANOVA and LSD test to compare between the positive control group, negative control group, and treatment group. The analysis revealed a significant difference between negative control group and treatment group, negative control group and positive control group, but did not show a significant difference between positive control group and treatment group. Key words : Solanummelongena L. , Eggplant Rind, Blood Sugar Level, Sucrose
A revision of Omalanthus (Euphorbiaceae) in Malesia

Omalanthus is revised for Malesia and the Solomon Islands. For this region, 13 species without subspecific taxa are accepted, namely O. arfakiensis, O. caloneurus, O. fastuosus, O. giganteus, O. grandifolius, O. longistylus, O. macradenius, O. nervosus, O. novoguineensis, O. populifolius, O. populneus, and O. trivalvis, and, as a new species, O. remotus. In addition to established synonyms, 17 species from Malesia are not accepted any more. The diagnostical importance of a peltate or non-peltate leaf base is especially doubted. Although detailed phylogenetic and biogeographical analyses were not made, the value of the established sections of Omalanthus is questioned. An alternative subdivision unites all Malesian taxa into four subgroups, each with a distinct distribution of probably historic causes. The subgroups are distributed in W and C Malesia, the Lesser Sunda Islands, the Philippines and the Bismarck Archipelago, and New Guinea and Australia, respectively. The radiation in montane and subalpine habitats may also have contributed to the actual diversity. In addition, O. gracilis from French Polynesia is proposed to be a synonym of O. stokesii.
Isotopic chemostratigraphy and biostratigraphy of Lower Cretaceous Alisitos Formation (Punta China section), Baja California, Mexico

Nine units of carbonate rocks are recognized, of which the highest five units are examined here under biostratigraphical and chemostratigraphical aspects in order to infer mid‐Cretaceous OAE intervals in Punta China section, Baja California. The biota in Units 5, 6, 7, and 8 show low diversity, while Unit 9 is characterized by a high diversity of microfossils. Benthic foraminiferal assemblage and rudist genera identified in Unit 9 indicate a lower Albian age. Lithofacies and fossil assemblages suggest that the depositional environment was a shallow marine shelf or platform adjacent to caprinid buildups. The limestones of the Alisitos Formation show both negative and positive δ13C values that range between −0.9 and + 7.5‰. Large variations in δ18O values are noticed in the limestone units (−7.9 to −2.2‰). The 87Sr/86Sr ratios of the bulk limestone samples vary between 0.706662 and 0.707305. Most of the limestones have lower 87Sr/86Sr ratios that may be the result of inclusion of less radiogenic strontium from the volcanic rocks. One limestone sample from Unit 7 has a relatively pristine 87Sr/86Sr ratio (0.707305) whose numerical age is 111.61 Ma. The carbon‐isotope curve reveals the presence of two episodes of oceanic anoxic subevents in the studied section. The lower part of Unit 9 has significant negative carbon isotope excursion (CIE) that correlated with the Paquier subevent. Similarly, another negative CIE is also observed in the upper part of Unit 9, which suggests a correlation with Leenhardt subevent.
Genetic diversity and potential biological control of rubus spectabilis

A mycobiota survey was conducted on Vancouver Island and mainland BC to identify potential biocontrol agents of salmonberry. The species, which included 17 isolates of B o t ~ t i s cinerea, 3 Phoma argillacea and 1 Septoria rubi, were pathogenic on detached leaves. Greenhouse trials showed P. argillacea induced foliar and stem necrosis on intact plants with an 18-hr leaf wetness period and mycelial inoculum of 2 . 6 ~ 1 0 ~ CFUImL. In a host range test, three conifer species showed seedling tolerance and red raspberry showed initial damage but no cane blight when inoculated with P. argillacea. Salmonbeny DNA was isolated from leaves collected from five widespread populations. RAPD-PCR was used to fingerprint individuals, generating 35 loci with a 75.5% average variability. Diversity within populations was high, with an average heterozygosity of 0.38. Among population differentiation was poor, with an FST of 0.0454; therefore, an average 5.3 migrants per generation is required to maintain this
The human genome project: deciphering the blueprint of heredity.

Understanding Inheritance: An Introduction to Classical and Molecular Genetics Mapping the Genome: The Vision, the Science, the Implementation The Mapping of Chromosome 16 DNA Libraries: Recombinant Clones for Mapping and Sequencing Computation and the Genome Project Rapid DNA Sequencing Based on Single-Molecule Detection Ethical, Legal and Social Implications An Invitation to Genetics in the 21st Century Glossary Index
Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization

Parsimonious modelling, including sparsity and low rankness, has becomes a cornerstone in modern machine learning and signal processing. However, these modelling techniques have limited capabity to learn from large-scale data, and often require some pre-defined parameters to define their optimization procedure. In this paper, we propose a novel method to design specific deep neural networks for sparse and low-rank models, where the network can learn a data-adaptive model from training data. In particular, we design differentiable network units for sparse and low-rank matrices. Each layer of the network represents one iteration of the optimization process of sparse and low-rank models. The effectiveness of the proposed method is evaluated in the task of audio-visual object localization. Experimental results indicate the superior performance of the proposed method over traditional sparse and low-rank models.
A Meta-Analysis of Frontline Employees’ Role Behavior and the Moderating Effects of National Culture

Many empirical studies have focused on understanding the frontline role process, which reflects the chain of effects including the antecedents and outcomes of frontline employees’ in-role behavior and extra-role behavior. A close examination of past findings reveals discrepancies across cultures. This meta-analysis provides insights into the moderating effects of national culture on the frontline role process. We build on role theory to consolidate role behavior’s antecedents to reflect the expectations emanating from four stakeholders of the frontline role: the organization, manager, peers, and customers. We formulate hypotheses on the moderating effects of national culture dimensions (i.e., power distance, individualism, masculinity, and uncertainty avoidance) and meta-analyze 105 articles, including 100 independent samples with 32,364 participants from 35 different countries, to test our predictions. The results show that customer expectations are the strongest antecedent to both in-role and extra-role behavior and furthermore confirm that the frontline role process differs across cultures. We offer managers advice on how to adapt expectations for sales and service employees across countries to enhance frontline performance evaluations, customer satisfaction, and ultimately the firm’s competitiveness. We also link our results to new frontline trends (e.g., service robots, artificial intelligence, remote service technology) and provide a future research agenda.
Monitor Placement for Link Latency Measurement in Hybrid SDNs

Accurate link latency information is essential for various traffic engineering problems, such as routing design and network diagnosis. However, due to the routing constraints, link latency measurement is still a challenging problem in hybrid software-defined networks (SDNs) and little literature has been found in this field. Due to cost, a hybrid SDN composed of conventional routers and SDN switches will exist for some time to come, which shows the necessity and the urgency to address this problem. In this paper, we investigate this link latency measurement problem in two different scenarios: 1) the conventional routers can only support the shortest path routing protocol, and 2) the conventional routers can support source routing protocol. For both of these scenarios, we show how to deploy a minimum number of monitors and how to construct measurement paths between monitors to measure all the link latencies. Several algorithms are presented to solve these problems and the evaluations on different topologies prove the superiority of the proposed methods.
Pycnogonida from Pantelleria and Catania, Sicily

The paper reports on two small collections from the island of Pantelleria and the vicinity of Catania, Sicily. The former locality (mostly surface samples) yielded 52 specimens of 9 species in 9 samples, the latter 190 specimens of 14 species in 11 samples. One species of Nymphon proved to be new to science; it belongs to an uniunguiculate species group with N. longicoxa Hoek, 1881, and N. prolatum Fage, 1942, as nearest relatives. The question of Tanystylum in the Mediterranean is raised again and it is decided that there are two species, T. conirostrum (Dohrn, 1881) and T. orbiculare Wilson, 1878, respectively. The male of Ammothella longioculata Faraggiana, 1940 is figured for the first time in order to compare it with A. longipes (Dohrn, 1881). Precisions about external morphological characters of Ammothella uniunguiculata (Dohrn, 1881) are given, whereas Anoplodactylus angulatus (Dohrn, 1881) is compared with A. virescens (Hodge, 1864).
Anomaly Detection of Hyperspectral Images Based on Linear Unmixing and Low-Rank Representation

Anomaly detection is an important branch in hyperspectral detection. There are some challenging problems mainly due to the highly mixture nature and noise corruption. In this paper, we propose a hyperspectral anomaly detection method based on Linear Unmixing and Low-Rank Representation (LU-LRR) with construction of a more robust dictionary. Firstly, the Kernel-PCA (KPCA) is used to estimate the numbers of endmembers and mine high-order correlation among spectral bands of original hyperspectral data. Secondly, data are decomposed into a product form of endmember matrix and abundance matrix based on linear spectral unmixing method. Abundance matrix usually possesses more distinctive feature to distinguish anomaly from background compared with original data. Finally, LRR is exploited to decompose abundance matrix into low-rank component and sparse component indicating background and anomalies separately, and furtherly introduce a more robust subspace basis dictionary based on dictionary learning into low-rank component. Experiments in real hyperspectral images have demonstrated that LU-LRR is more effective than traditional anomaly detection methods
IoT Based coal mine safety monitoring and controlling

Many coal miners are concerned about their safety in the workplace. Within subsurface mines, poor ventilation exposes workers to toxic gases, heat, and dust, which can lead to sickness, injury, and death. With the aid of an ARM controller, this work proposes a concept for an Internet of things (IoT), wireless sensor network (WSN) that can track temperature, humidity, and gas in an underground mine. This device uses a low-power, less-cost Arduino UNO, Node MCU, DHT11 sensor, gas sensor, fire sensor to detect fire and send an alarm, and LDR to detect light depending on light levels. Conventional coal mineshaft observing frameworks are regularly wired organization frameworks that assume a significant part in guaranteeing coal mineshaft security. With the ceaseless extension of mining zones and profundity in coal mineshafts, numerous laneways have become visually impaired territories with various secret risks. Furthermore, laying cables, which is costly and time-consuming, is inconvenient. To address the issues, a coal mine safety monitoring system based on a wireless sensor network and the Internet of Things, which can increase the monitoring level is created. Many micro-sensor nodes with small volumes and low costs make up an IoT and wireless sensor network.
Design and Analysis of a Wearable Upper Limb Rehabilitation Robot with Characteristics of Tension Mechanism

Nowadays, patients with mild and moderate upper limb paralysis caused by cerebral apoplexy are uncomfortable with autonomous rehabilitation. In this paper, according to the “rope + toothed belt” generalized rope drive design scheme, we design a utility model for a wearable upper limb rehabilitation robot with a tension mechanism. Owing to study of the human upper extremity anatomy, movement mechanisms, and the ranges of motion, it can determine the range of motion angles of the human arm joints, and design the shoulder joint, elbow joint, and wrist joint separately under the principle of ensuring the minimum driving torque. Then, the kinematics, workspace and dynamics analysis of each structure are performed. Finally, the control system of the rehabilitation robot is designed. The experimental results show that the structure is convenient to wear on the human body, and the robot’s freedom of movement matches well with the freedom of movement of the human body. It can effectively support and traction the front and rear arms of the affected limb, and accurately transmit the applied traction force to the upper limb of the joints. The rationality of the wearable upper limb rehabilitation robot design is verified, which can help patients achieve rehabilitation training and provide an effective rehabilitation equipment for patients with hemiplegia caused by stroke.
The Time Dependence of Audit Firm Alumni Effects: Evidence from Audit Committees

This article empirically examines the time dependence of audit quality and audit fee effects resulting from the presence of audit firm alumni (AFA) on audit committees (ACs) in the German setting. Following the European Union's audit reform in 2014, the subject of this study is of particular importance, as European regulators have strengthened the position of ACs, while simultaneously restricting the presence of AFA on ACs. We find that the presence of AFA who have recently left their former employer on ACs is associated with higher audit quality, while we fail to find a significant effect on audit quality with regard to AFA who have left audit firms a longer period of time ago. In addition, the presence of AFA on ACs does not seem to affect audit fees. To the best of our knowledge, this study is the first to demonstrate time&#8208;dependent AFA effects related to ACs.