Miracle-dz/UniFAR-FTUs huggingface dataset:
An application of the Least Squares 3D algorithm for territorial monitoring and control

— In this contribute we propose an application of a new algorithm for least squares matching of overlapping 3D surfaces that we sampled point by point using a terrestrial laser scanner. The studies on the absolute orientation of stereo models using DEMs as control information are known as DEM matching. The proposed method estimates the transformation parameters between two (or more) fully 3D surface patches and minimizes the Euclidean distances instead of Z-differences between the surfaces by least squares. The application in question is aimed, in the study of deformations of mountain areas, as well as test the TLS applied to a hilly area. For this purpose, it was also tested using the algorithm LS3D “Least squares 3D surface matching” that allows both the registration of point clouds produced by scans carried out without using targets but, overall, the estimate of deformations that in this case, compared to other methods, is done directly on the basis of the two data sets acquired in two different eras.
2 Comparison of real-time PCR techniques to cytotoxigenic culture methods for diagnosing Clostridium difficile infection

In the past decade, incidence of Clostridium difficile infections (CDI) with more severe course has increased in Europe and Northern America. Assays that are capable to rapidly diagnose CDI are essential. Two real-time PCRs (LUMC and LvI) targeting C. difficile toxin genes ( tcdB ; tcdA and tcdB , respectively), were compared with the BD GeneOhm PCR (targeting the tcdB gene), using cytotoxigenic culture as gold standard. In addition, a real-time PCR targeting the tcdC frame shift mutation at position 117 (Δ 117 PCR) was evaluated for detecting toxigenic C. difficile and the presence of PCR Ribotype (RT) 027 in stool samples. In total, 526 diarrheal samples were prospectively collected and included in the study. Compared with cytotoxigenic culture, sensitivity, specificity, positive predicted value (PPV) and negative predicted value (NPV) were: for PCR LUMC 96.0%, 88.0%, 66.0% and 98.9%, for PCR LvI 100.0%, 89.4%, 69.7% and 100.0%, for PCR Δ117 98.0%, 90.7%, 71.9% and 99.5% and for PCR BD GeneOhm 88.3%, 96.9%, 86.5% and 97.4%. Compared to faeces samples cultured positive for C. difficile RT 027, sensitivity, specificity, PPV and NPV values of the Δ117 PCR were: 95.2%, 96.2%, 87.0% and 98.7%. We conclude that all real-time PCRs can be applied as a first screening test in an algorithm for diagnosing CDI. However, the low PPVs hinder the use of the assays as a stand-alone test. Furthermore, the Δ 117 PCR may provide valuable information for minimising the spread of the epidemic C. difficile RT 027. from each PCR method compared to the CYTGC assay were analyzed for resemblances. Resemblances in false positive and false negative results were ordered by PCR method. No false negative results were found by the LvI real-time PCR.
Self Antigen Expressed in the Pancreas That Persist After Peripheral Tolerance to a T Lymphocytes + Characterization of CD8

As a result of expression of the inﬂuenza hemagglutinin (HA) in the pancreatic islets, the repertoire of HA-speciﬁc CD8 1 T lymphocytes in InsHA transgenic mice (D2 mice expressing the HA transgene under control of the rat insulin promoter) is comprised of cells that are less responsive to cognate Ag than are HA-speciﬁc CD8 1 T lymphocytes from conventional mice. Previous studies of tolerance induction involving TCR transgenic T lymphocytes suggested that a variety of different mechanisms can reduce avidity for Ag, including altered cell surface expression of molecules involved in Ag recognition and a deﬁciency in signaling through the TCR complex. To determine which, if any, of these mechanisms pertain to CD8 1 T lymphocytes within a conventional repertoire, HA-speciﬁc CD8 1 T lymphocytes from B10.D2 mice and B10.D2 InsHA transgenic mice were compared with respect to expression of cell surface molecules, TCR gene utilization, binding of tetrameric K d HA complexes, lytic mechanisms, and diabetogenic potential. No evidence was found for reduced expression of TCR or CD8 by InsHA-derived CTL, nor was there evidence for a defect in triggering lytic activity. However, avidity differences between CD8 1 clones correlated with their ability to bind K d HA tetramers. These results argue that most of the K d HA-speciﬁc T lymphocytes in InsHA mice are not intrinsically different from K d HA-speciﬁc T lymphocytes isolated from conventional animals. They simply express TCRs that are less avid in their binding to K d HA. The Journal of Immunology, 2000, 164: 191–200.
Vision-Based for Bridge Structural Health Monitoring and Identification

: A framework of vision-based SHM using computer vision techniques is proposed to obtain a new structural damage indicator by using a non-sensor approach. As the traffic passing over a bridge can be identified and classified into classes with a surveillance camera system, the weights of those detected vehicles will be estimated based on the pre-determined weight distribution of every class. In addition to estimating the weights of vehicles, their locations on the bridge are also obtained by utilizing geometry transformation between the image coordinate and the world coordinate (bridge deck geometry). In the meantime, the bridge displacements are measured using a camera based displacement measurement method. By synchronizing both input (traffic loading estimated by a camera) and output (displacements also captured by another camera) data of the bridge structures, a structural parameter is identified called Unit Influence Surfaces (UISs), which can be used for structural damage detection. The framework is implemented in a laboratory on a bridge model under loadings induced from multiple small-scale vehicles.
The Class of Neat-Reducts of Cylindric Algebras is Not a Variety But is Closed w.r.t. HP

Problem 2.11 formulated on p. 464 of [ 11 ] asks whether the class NraCAβ of all α-dimensional neat-reducts of β-dimensional cylindric algebras is closed under the formation of homomorphic images and subalgebras or not (for ordinals a < β). Theorem 1 below formulates the answer for every pair a < β of ordinals. At the end of this note some corollaries are formulated. Finally, a conjecture is stated which seems to be provable by the constructions used in the proofs of Theorem 1 here and II.8. 6 in [12], p. 266. Independently of us, Roger Maddux [ 13]-[ 14] obtained a partial solution of Problem 2.11 of [ 11 ] proving that S Nr3CAβ Φ Nr3C4/3 if β > 5. We shall use the notations of the monograph [11]; e.g., 1.5. 8 refers to "item" 1.5. 8 of [11], and p. 489 refers to page 489 of [11]. We shall often refer to items in the textbook [12] on cylindric set algebras (i.e., on representable CAs). Since [12] consists of two parts, we shall refer to an item n in the First Part by l.n and to an item n in the Second Part by II. π; e.g., 1.1.1 is on p. 4, and II. 1.1 is on p. 145.
Study on Restoring Force Performance of Corrosion Damage Steel Frame Beams under Acid Atmosphere

In order to study the restoring force characteristics of corroded steel frame beams in an acidic atmosphere, based on different corrosion damage degrees, tests on the material properties of 48 steel samples and six steel frame beam specimens with a scale ratio of 1/2 under low cyclic repeated loading were conducted. According to the test results, the relationship between the weight loss rate and the mechanical properties of corrosion damage steel was obtained by numerical regression analysis, and the hysteresis curves and skeleton curves of the corroded steel frame beams were also obtained. The simplified trilinear skeleton curve model of the corroded steel frame beams and the expression of the corresponding feature points were determined by analyzing the failure process. The strength and stiffness degradation rule of the steel frame beam was analyzed furtherly. The hysteresis rule was established by introducing the cyclic degradation index which considers the effect of different corrosion degrees, and finally the restoring force model based on the corroded steel frame beams in an acidic atmospheric environment was established. Comparison with the test results show that the skeleton curve and the restoring force model established in this paper can accurately describe the seismic performance of corrosion damaged steel frame beams and can provide a basis for the seismic calculation analysis of corroded steel structures in an acidic atmosphere.
Research Online Research Online Mining Chinese social media UGC: a big data framework for analyzing Mining Chinese social media UGC: a big data framework for analyzing Douban movie reviews Douban movie reviews

Abstract Analysis of online user-generated content is receiving attention for its wide applications from both academic researchers and industry stakeholders. In this pilot study, we address common Big Data problems of time constraints and memory costs involved with using standard single-machine hardware and software. A novel Big Data processing framework is proposed to investigate a niche subset of user-generated popular culture content on Douban, a well-known Chinese-language online social network. Huge data samples are harvested via an asynchronous scraping crawler. We also discuss how to manipulate heterogeneous features from raw samples to facilitate analysis of various film details, review comments, and user profiles on Douban with specific regard to a wave of South Korean films (2003-2014), which have increased in popularity among Chinese film fans. In addition, an improved Apriori algorithm based on MapReduce is proposed for content-mining functions. An exploratory simulation of results demonstrates the flexibility and applicability of the proposed framework for extracting relevant information from complex social media data, knowledge which can in turn be extended beyond this niche dataset and used to inform producers and distributors of films, television shows, and other digital media content. investigating user-generated content (hereafter Abstract Analysis of online user-generated content is receiving attention for its wide applications from both academic researchers and industry stakeholders. In this pilot study, we address common Big Data problems of time constraints and memory costs involved with using standard single-machine hardware and software. A novel Big Data processing framework is proposed to investigate a niche subset of user-generated popular culture content on Douban, a well-known Chinese-language online social network. Huge data samples are harvested via an asynchronous scraping crawler. We also discuss how to manipulate heterogeneous features from raw samples to facilitate analysis of various film details, review comments, and user profiles on Douban with specific regard to a wave of South Korean films (2003–2014), which have increased in popularity among Chinese film fans. In addition, an improved Apriori algorithm based on MapReduce is proposed for content-mining functions. An exploratory simulation of results demonstrates the flexibility and applicability of the proposed framework for extracting relevant information from complex social media data, knowledge which can in turn be extended beyond this niche dataset and used to inform producers and distributors of films, television shows, and media content.
Identification and characterization of drought tolerant local populations of Cucurbitaceae

Vasileva, E. S. & R. (2022). Identification and characterization of drought tolerant local populations of Cucurbitaceae. Bulg. J. Agric. Sci., 28 (3) , 417–424 For a three-year period (2019-2021), local populations of the Cucurbitaceae family were studied in a field experiment to establish drought resistance. The experiment is two-factor, set by non-standard method, with direct sowing, in two replications, with a systematic distribution of variants, with a natural deficit of soil moisture, intensifying with the progress of vegetation and control under irrigated conditions. Evaluation information has been collected according to the current ECPGR and UPOV descriptors. Physiological analyzes of leaf morphometry parameters, water exchange and relative leaf chlorophyll content were performed twice during the fruit growth phase. Two local populations of Cucurbita pepo var . saccharata with good yield po tential in arid conditions and stable response to environmental conditions in terms of growth intensity and water exchange have been identified: BGR6545 and BGR6547. The populations BGR6545, BGR6547, BGR3329, B9E0020 and B9E0043 have the highest values of morphometric indicators for drought tolerance. The highest yields in ambient conditions without irrigation were reported for accessions BGR6545, BGR6547, B9E0057 and B9E0092.
Investigating Students’ Expectations of Instruction in Engineering Laboratory Courses During the COVID-19 Pandemic

Ahmed Edrees is a PhD student at New Jersey Institute of Technology, specializing in Transportation Engineering. Ahmed has received his master’s in civil engineering from the University of Texas at Arlington in 2014. After, graduation Ahmed worked as a research assistant at Umm Al-Qura University in his hometown in Saudi Arabia. He also held a position as a teaching assistant and lecturer at the University of Jeddah. Ahmed plans to return as a faculty member at the University of Jeddah upon completion of his study.
Risk-averse Capital Market Line using Revised Option-Based Portfolio Insurance

Selecting a complete portfolio from Capital Market Line (CML) is the main asset allocation decision in efficient portfolio theory. A review of the literature reveals a lack of methodology, which can be used in practice to achieve a balance between investing in the risky portfolio and the risk-free asset. This has been a major challenge for many financial institutions such as insurance and pension funds especially in the aftermath of one of the most volatile periods in recent financial history. This article develops a methodology governing complete portfolio and CML construction based on a downside-risk framework using option pricing theory. Revised Option-based Portfolio Insurance (ROBPI) is a dynamic asset allocation process designed to maximise risky asset exposure with a downside protection. Linking ROBPI to efficient diversification theory leads to Risk-averse Capital Market Line function (RCML) assisting complete portfolios selection from CMLs depending on three parameters: risk aversion measure, risky asset volatility and duration of the investment period. An earlier version of this paper, Dynamic Asset Allocation To Hedge Cash Guarantees using Revised Option-Based Portfolio Insurance, was presented to the 2004 Finance & Investment Conference organised by the British Institute of Actuaries in Brussels.
Review on Effect of Genotype x Environment Interaction and Yield Stability Among Sorghum (<i>Sorghum bicolor (L.) </i>Moench.) Genotypes

: Sorghum is a prominent cereal crop, particularly in the world's semi-arid tropics. It is grown in over 105 countries across Africa, Asia, Oceania, and the Americas on 40 million hectares. Sorghum is an important indigenous food crop, second only to teff in terms of production of injera (leavened native flat bread). The majority of sorghum varieties are recommended for various agro ecological zones (AEZs), and no single variety is appropriate for all of Ethiopia's circumstances (GxE). GxE affects grain yield, nutritional quality and content, as well as physicochemical and malting quality. The interaction of an organism's genetic composition with its environment results in phenotype, which is a physical trait. The presence of GEI complicates the selection of yield and yield-related traits. GEI can inhibit progress in the selection process and is a key driver of genotype-to-genotype yield stability differences. Plant breeders should investigate GEI in order to better understand crop development in relation to biophysical conditions. In different agro-ecologies, locales, and seasons, genotypes will respond differently. Agronomic/dynamic stability refers to a genotype's ability to adapt to changes in the environment. Breeders should encourage the development of varieties/hybrids that can adapt to a wide range of environments. Crossover and non-crossover gene x environment interactions (GEI) are the two forms of GEI. When there is a disparity in genotypic performance between individuals. Statistical analysis of yield studies can help agronomists, breeders, and other agricultural specialists make faster progress. G x E Interaction and Stability Analysis permits genotypes' relative performance and stability for yield and yield-related variables to be assessed. Therefore the objective of this review study is to assess the role of G x E on yield stability of sorghum.
To study the production cost and return structure of kinnow orchard in North-Western region of Kangra district of Himachal Pradesh

The present study entitled, “An economic analysis of production and marketing of kinnow in Kangra district of Himachal Pradesh” was conducted during the agricultural year 2017-18. A sample of 100 kinnow growers was selected using multistage sampling technique. The sample farms were further categorized into small (up to 300 plants), medium (300-700 plants) and large (> 700 plants) based on number of plants. The primary data were collected through survey method by interviewing the kinnow growers directly through a well-designed pre-tested schedule. Initial cost of kinnow plantation per hundred plants was calculated as Rs. 7960.76 at overall level and was practically found almost same in all categories of farmers. The maintenance cost of non-bearing plants was Rs. 6970.74, Rs. 7702.84 and Rs. 8431.03 per hundred plants in the second to fourth year of age, respectively. Maintenance cost during bearing stage was estimated to Rs. 18706.04, Rs. 19292.84, Rs. 19437.39 and Rs. 18202.73 per hundred plants in the age groups of 5-8, 9-12, 13-16 and 17-20 years, respectively which showed an increasing trend up to 13-16 years of age group and then gradually decreased in the age group of 17-20 years. The payback period worked out to be of eight years among all farm categories with overall benefit-cost ratio of 1.45, internal rate of return (IRR) 17.48 per cent and net present value of Rs. 112369.90. These measures clearly indicated that kinnow cultivation is profitable in the study area.
Development of Certified Reference Materials for the visual inspection of unsound wheat kernels

Unsound wheat kernel content is important in the wheat trade and is generally determined by sensory detection. To assist laboratory quality control, inspection personnel training and unsound wheat kernel inspection, visual Certified Reference Materials (CRMs) for unsound wheat kernels were developed. Unsound wheat kernels were collected from wheat fields or laboratory prepared and then screened and embedded in epoxy resin with high light transmittance. The CRMs were developed according to GB 1351-2008, a national wheat standard of the People’s Republic of China. Five CRM items, including injured kernels, spotted kernels, broken kernels, sprouted kernels and mouldy kernels, were developed, and each item contained 10 kernels that demonstrated varying levels of unsoundness. The CRMs possessed excellent homogeneity, and stability monitoring demonstrated that the CRMs were stable at a low temperature of -20 ℃ and a high temperature of 45 ℃ for 14 days and at least 18 months at room temperature out of direct sunlight and strong light. All the CRMs were assessed by authoritative laboratories and specialists, and the results showed that they conformed to the morphological characteristics described in the textual standard.
A Survey of Fake News

The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four perspectives: the false knowledge it carries, its writing style, its propagation patterns, and the credibility of its source. The survey also highlights some potential research tasks based on the review. In particular, we identify and detail related fundamental theories across various disciplines to encourage interdisciplinary research on fake news. It is our hope that this survey can facilitate collaborative efforts among experts in computer and information sciences, social sciences, political science, and journalism to research fake news, where such efforts can lead to fake news detection that is not only efficient but, more importantly, explainable.
Adenoid Reservoir for Pathogenic Bioﬁlm Bacteria (cid:1)

Bioﬁlms of pathogenic bacteria are present on the middle ear mucosa of children with chronic otitis media (COM) and may contribute to the persistence of pathogens and the recalcitrance of COM to antibiotic treatment. Controlled studies indicate that adenoidectomy is effective in the treatment of COM, suggesting that the adenoids may act as a reservoir for COM pathogens. To investigate the bacterial community in the adenoid, samples were obtained from 35 children undergoing adenoidectomy for chronic OM or obstructive sleep apnea. We used a novel, culture-independent molecular diagnostic methodology, followed by confocal microscopy, to investigate the in situ distribution and organization of pathogens in the adenoids to determine whether pathogenic bacteria exhibited criteria characteristic of bioﬁlms. The Ibis T5000 Universal Biosensor System was used to interrogate the extent of the microbial diversity within adenoid biopsy specimens. Using a suite of 16 broad-range bacterial primers, we demonstrated that adenoids from both diagnostic groups were colonized with polymicrobial bioﬁlms. Haemophilus inﬂuenzae was present in more adenoids from the COM group ( P (cid:1) 0.005), but there was no signiﬁcant difference between the two patient groups for Streptococcus pneumoniae or Staphylococcus aureus . Fluorescence in situ hybridization, lectin binding, and the use of antibodies speciﬁc for host epithelial cells demonstrated that pathogens were aggregated, surrounded by a carbohydrate matrix, and localized on and within the epithelial cell surface, which is consistent with criteria for bacterial bioﬁlms.
Comparative Analysis of Semantic Similarity Word Embedding Techniques for Paraphrase Detection

Most of the state of art plagiarism detection tools focus on verbatim reproduction of a document for plagiarism identification (PI) not keeping into account its semantic properties. Recently, deep learning models have shown considerable performance in identifying paraphrases using word-embedding approach. This paper gives an overview and comparison of the performances of five word embedding based deep learning models in the field of semantic similarity detection, such as TF-IDF, Word2Vec, Doc2Vec, FastText and BERT on two publicly available corpora: Quora Question Pairs (QQP) and Plagiarized Short Answers (PSA). After extensive literature review and experiments, the most appropriate text pre-processing approaches, distance measures, and the thresholds have been settled on for detecting semantic similarity/paraphrasing. The paper concludes on FastText being the most efficient model out of the five, both in terms of evaluation metrics i.e., accuracy, precision, recall, F1-score, receiver operating characteristic (ROC) curve and resource consumption. It also compares all the models with each other based on the above-mentioned metrics.