Miracle-dz/UniFAR-FTUs huggingface dataset:
Astragalus proximus (Rydberg) Wooton & Standley (Aztec milkvetch) : a technical conservation assessment

ACKNOWLEDGMENTS This work benefited greatly from the help and generosity of many expert botanists and agency personnel, Denslow at Rancho Santa Ana-Pomona Herbarium and Jennifer Ackerfield at the CSU Herbarium provided helpful information on Astragalus proximus specimens. Richard Spellenberg and Steve Olson provided additional information and review comments. Karin Decker is an ecologist with the Colorado Natural Heritage Program (CNHP). She works with CHNP's Ecology and Botany teams, providing ecological, statistical, GIS, and computing expertise for a variety of projects. She has worked with CNHP since 2000. Prior to this, she was an ecologist with the Colorado Natural Areas Program in Denver for four years. She is a Colorado native who has been working in the field of ecology since 1990, including four summers at the Rocky Mountain Biological Laboratory in Gothic, Colorado. Before returning to school to become an ecologist she graduated from the University of Northern Colorado with B. Status Astragalus proximus (Aztec milkvetch) is a local endemic whose global distribution is limited to the San Juan Basin in southwestern Colorado and northwestern New Mexico. It is considered fairly common within the New Mexico part of the basin, but much rarer in the Colorado portion of its range. Documented locations include five sites on the Pagosa and Columbine Ranger Districts of the San Juan National Forest in Region 2, and three on the Jicarilla Ranger District of the Carson National Forest in Region 3. The species is also known from lands managed by the Bureau of Land Management and National Park Service, Southern Ute and Jicarilla Apache tribal lands, State of Colorado and State of New Mexico lands, and private property. Although data are lacking, population numbers are assumed to be stable. Astragalus proximus is considered a sensitive species in Region 2 of the USDA Forest Service. It is ranked G4S2 (globally vulnerable, and imperiled in state because of rarity or other factors) within Region 2 by NatureServe and the Colorado Natural Heritage Program due to its small global distribution. It is not listed as Although Astragalus proximus is locally common in parts of its range and appears to have a stable population, its entire global range is contained within the northeastern San Juan Basin. Threats that are basin-wide will affect the entire species. Based on the available information, there are several threats to A. proximus. In approximate order of decreasing priority, these are oil and gas development, …
The mitochondrial DNA D-loop diversity of Bali cattle in breeding centers

Bali cattle is one important native cattle breeds of Indonesia which are contributing to the development of livestock and devote meat production. The aim of this study was to evaluate the genetic profiles using of mtDNA D-loop method in Breeding centers Bali cattle which consist BPTU Pulukan (Bali), BPTHMT Serading (West Nusa Tenggara) and VBC Barru district (South Sulawesi). The complete D-loop sequences, 1145bp in length, 48 individual sample from three breeding centers (24 males and 24 females) were analyzed. mtDNA D-loop amplification were performed by Polymerase Chain Reaction (PCR). The Molecular data of the D-loop mtDNA sequences were aligned and analyzed with reference (Bos indicus and Bos taurus) from GenBank using Basic Local Alignment Search Tool (BLAST) and MEGA version 5.0 software. The analyzedsequences length of the D-loop mtDNA was performed on 410 bp. The result of the mtDNA D-loop showed that there were 84 site varation were 2 site deletion, 8 site insertion and 74 site substitution of mtDNA D-loop Bali cattle. The nucleotide sequences of Bali cattle had a common Bali cattle in BPTU to BPTHMT with genetic distance more closely than the Bali cattle of VBC. It can be concluded that D-loop mtDNA could be used as potential candidate marker to differentiate and grouping in breeding centers of Bali cattle.
Establishment of Multi-granularity Three-way Decision Model Based on the Minimization of Financial Risk

To reduce the decision risk from direct acceptance or rejection in the traditional two-way decision, the multi-granularity space of the problem decision is analyzed, and the multi-granularity three-way decision model based on the minimization of financial risk is studied in this paper. Based on the cost analysis of the three-way decision, to identify the optimal granularity space, the characteristics of different decision weights that various attributes have in the granularity space are combined to identify the decision action with the minimum risk from multiple different levels of granularity with the importance and decision weight of granulation as the heuristic information. Finally, to address some practical problems that require an urgent decision in the uncommitted options, the two-way decision transformation method based on risk control is provided and applied to the practical instance.
Condensin II inactivation in interphase does not affect chromatin folding or gene expression

Condensin complexes have been proposed to play a prominent role in interphase chromatin organization and control of gene expression. Here, we report that the deletion of the central condensin II kleisin subunit Ncaph2 in differentiated mouse hepatocytes does not lead to significant changes in chromosome organization or in gene expression. Both observations challenge current views that implicate condensin in interphase chromosomal domain formation and in enhancer-promoter interactions. Instead, we suggest that the previously reported effects of condensin perturbation may result from their structural role during mitosis, which might indirectly impact the re-establishment of interphase chromosomal architecture after cell division.
History of Ecological Sciences, Part 61B: Terrestrial Biogeography and Paleobiogeography, 1840s-1940s

Part 61A (Egerton 2018) explained that, after modest growth during the 1700s, Alexander Humboldt brought plant geography into botanical prominence with his South American study, Essai sur la géographie des plantes (1807), and that August de Candolle achieved a practical synthesis in his encyclopedia article, Géographie botanique (1820). Animal geography also progressed. Eberhard Zimmermann produced an early synthesis in two treatises (1777, 1778–1783), but sparked less followup by others in zoology than Humboldt’s and de Candolle’s works sparked in botany. There was some crossstimulation between plant geography and animal geography. Keir Sterling compiled a very useful collection of 28 articles, Selections from the Literature of American Biogeography (1974), all but one of which fall within the time range of this Part 61B; Selections contains an 11page (unnumbered) introduction in which Sterling provided an indication of how the individual articles fit in a larger context. This subject would require a booklength survey to encompass all its aspects, but McIntosh (1985:107–110) gave a brief summary. A discussion of North America’s four migratory flyways will be in part 62.
Lorentz symmetry in non-commutative field theories : commutative/non-commutative dualities and manifest covariance

Lorentz Symmetry in Non-Commutative Field Theories: Commutative/Non-Commutative Dualities and Manifest Covariance Paul Henry Williams Department of Physics, University of Stellenbosch, Private Bag X1, Matieland 7602, South Africa. Dissertation: PhD Physics March 2020 We cover two approaches to building Lorentz invariant non-commutative field theories. First we construct dualities between commutative and non-commutative field t heories. This c onstruction e xploits a g eneralization o f t he e xact renormalization group equation (ERG). We review ERG dualities for the two dimensional quantum mechanical Landau problem. We also review the idea of non-canonical field t heories. From this we build an ERG duality f or the free non-canonical complex scalar field t heory. This a pproach a llows u s t o track the Lorentz symmetry, we show this explicitly for the free theory. Finally we construct dualities for the φ interacting theory. Second we build a manifestly Lorentz invariant 2 + 1 dimensional field theory living in SU(1, 1) fuzzy space-time. Here the commutation relations themselves respect the Lorentz symmetry. We start by reviewing the nonrelativistic construction of SU(2) fuzzy space and quantum mechanics. We briefly d iscuss a p otential fi eld th eory ex tension of th is. We th en be gin our SU(1, 1) construction by reviewing the SU(1, 1) group and make the connection to space-time. We then build a quantum theory living on this space-time and introduce dynamics with the Klein-Gordon equation. From this we can move on to a scalar field theory in terms of functions on the group manifold. Finally we make the connection to commutative theories by introducing the symbols of operators. From this we are able to compute different correlators and compare with commutative theories. ii Stellenbosch University https://scholar.sun.ac.za
Complete plastome sequence of Hydnocarpus hainanensis Merr (Achariaceae): an endemic ‘vulnerable’ tree in South China

Abstract Hydnocarpus hainanensis Merr. is an evergreen tree with a height of 6–12 m and a diameter at breast height of 50 cm. It is distributed in Guangxi, Guizhou, Hainan, South of Yunnan Province of China. Here, we report and characterize the complete plastid genome sequence of H. hainanensis in an effort to provide genomic resources useful for promoting its conservation and systematics research. The plastome of H. hainanensis is found to possess a total length 163,330 bp with the typical quadripartite structure of angiosperms, containing two inverted repeats (IRs) of 26,870 bp, a large single copy (LSC) region of 91,510 bp and a small single copy (SSC) region of 18,080 bp. The plastome contains 111 genes, consisting of 78 unique protein-coding genes (seven of which are duplicated in the IR: rps12, rps7, ndhB, ycf2, rpl23, rpl2, and rps19), 29 unique tRNA genes (seven of which are duplicated in the IR, i.e. trnNGUU, trnRACG, trnAUGC, trnlGAU, trnVGAC, trnLCAA, and trnlCAU) and four unique rRNA genes (5S rRNA, 4.55S rRNA, 23S rRNA, and 16S rRNA). The overall A/T content in the plastome of H. hainanensis is 63.70%. The phylogenetic analysis indicated that H. hainanensis is close to Salix rorida within Malpighiales. The complete plastome sequence of H. hainanensis will provide a useful resource for the conservation genetics of the one species as well as for the phylogenetic studies of Achariaceae.
Multi-grip classification-based prosthesis control with two EMG-IMU sensors

In the field of upper-limb myoelectric prosthesis control, the use of statistical and machine learning methods has been long proposed as a means of enabling intuitive grip selection and actuation. Recently, this paradigm has found its way toward commercial adoption. Machine learning-based prosthesis control typically relies on the use of a large number of electrodes. Here, we propose an end-to-end strategy for multi-grip, classification-based prosthesis control using only two sensors, comprising electromyography (EMG) electrodes and inertial measurement units (IMUs). We emphasize the importance of accurately estimating posterior class probabilities and rejecting predictions made with low confidence, so as to minimize the rate of unintended prosthesis activations. To that end, we propose a confidence-based error rejection strategy using grip-specific thresholds. We evaluate the efficacy of the proposed system with real-time pick and place experiments using a commercial multi-articulated prosthetic hand and involving 12 able-bodied and two transradial (i.e., below-elbow) amputee participants. Results promise the potential for deploying intuitive, classification-based multi-grip control in existing upper-limb prosthetic systems subject to small modifications.
The Development and Evaluation of A Multiplex Real-Time PCR Assay for the Detection of ESBL Genes in Urinary Tract Infections

Background: Overuse of beta-lactam antibiotics has lead to selection for extended-spectrum β-lactamase (ESBL) producing Enterobacteriaceae, a major cause of antibiotic resistant urinary tract infections (UTIs). Standard detection methods are time-consuming, with disputed accuracy. This study describes a novel real-time PCR method to detect CTX-M, SHV, OXA and TEM. Methods: 179 Enterobacteriaceae isolates from UTIs were collected from the Leicester Royal Infirmary, UK. A multiplex Plexor®-based real-time PCR assay detected ESBLs using their specific amplicon melting temperature, during each cycle, removing the need for a melt-curve analysis. Validation was achieved by end-point PCR and disk diffusion. Results: The method was able to produce rapid and accurate results, achieving a sensitivity and specificity of 94.9% and 72% respectively, and the assay can differentiate between the different ESBL genes, with ease. Conclusions: With further investigation, a Plexor®-based assay could form the basis of a high-throughput kit that health services could use to detect ESBLs or other antibiotic resistance genes. DOI : Coming Soon Corresponding Author: Dr Shivanthi Samarasinghe, The Gateway, De Montfort University, Leicester, LE1 9BH, Tel: +44 (0)116 207 8870, Email: ssamarasinghe@dmu.ac. uk. Running title: Development of assay to detect ESBLs in UTI.
DIFERENCIACIÓN DEL SEXO DEL GORRIÓN DE BAIRD (Centronyx bairdii) POR MEDIO DE REDES NEURONALES ARTIFICIALES Y DATOS MORFOMÉTRICOS

Las estimaciones indican que 148 especies de aves en Norteamérica enfrentan amenaza alta o severa, pues sus poblaciones están disminuyendo. El gorrión de Baird (Centronyx bairdii) es una de las especies con declive poblacional, presenta plumaje monomórfico y su sexo no se puede determinar a simple vista. La determinación del sexo de las aves permite conocer su comportamiento social y proporción en la dinámica de sus poblaciones. Un método de clasificación es el de redes neuronales artificiales y se ha utilizado en diversos campos, como la clasificación de plantas y semillas y la diferenciación de especies productoras de madera. En el ámbito de la ornitología se ha utilizado poco. Por lo tanto, el objetivo de este estudio fue desarrollar una red neuronal artificial para diferenciar el sexo de los gorriones de la especie Centronyx bairdii, con datos zoométricos obtenidos en campo. La hipótesis fue que las redes neuronales artificiales pueden predecir el sexo de las aves de la especie Centronyx bairdii. La red neuronal construida a partir de los datos de peso, cuerda alar, longitud de cola, culmen, ancho del pico y profundidad del pico de 111 aves, permitió diferenciar el sexo de la especie con grado de certeza de 92.3%.
Characterization and determinants of organizational satisfaction in mexican workers of SMES

espanolEl presente estudio tuvo como objetivo la construccion de un modelo que permita comprender la satisfaccion organizacional a partir de variables relacionadas a la satisfaccion laboral; asi mismo se procedio a validar y corroborar las dimensiones de una escala para medir la satisfaccion con la organizacion dentro del ambito laboral a partir la propuesta por Cayama and Pazmino (1998), ademas de caracterizar la satisfaccion organizacional en una muestra de 646 empleados ambos sexos de entre 18 y 70 anos, trabajadores de pequenas y medianas empresas (PyMES). A partir del analisis Rasch se observaron valores psicometricos pertinentes, identificando siete items como ajenos a la dimension de satisfaccion; se obtuvo un modelo explicativo que mostro criterios de ajuste pertinentes, observandose que los principales predictores de la satisfaccion con la organizacion fueron la satisfaccion con la supervision (β =.84) y la satisfaccion salarial (β =.75). Asi mismo, se observo que el tipo de puesto, el estado civil, el tipo de contrato y el numero de hijos incidio significativamente en las diferencias de satisfaccion. Se sugieren nuevos estudios que retomen la satisfaccion con la organizacion como un constructo pertinente para un analisis especifico de las relaciones de trabajo, asi como la ampliacion de la muestra a otro tipo de trabajadores y mayores rangos de edad y antiguedad laboral EnglishThis study aimed to build a model that allows us to understand organizational satisfaction from variables related to job satisfaction; Likewise, we proceeded to validate and confirm the dimensions of a scale to measure satisfaction with the organization within the work environment based on the proposal by Cayama and Pazmino (1998), in addition to characterizing organizational satisfaction in a sample of 646 employees, both sexes between 18 and 70 years, workers of small and medium enterprises (SMEs). From the Rasch analysis, relevant psychometric values were observed, identifying seven items as alien to the satisfaction dimension; An explanatory model was obtained that showed relevant adjustment criteria, observing that the main predictors of satisfaction with the organization were satisfaction with supervision (β = .84) and salary satisfaction (β = .75). Likewise, it was observed that the type of position, the marital status, the type of contract and the number of children had a significant impact on the differences in satisfaction. New studies are suggested that regain satisfaction with the organization as a relevant construct for a specific analysis of labor relations, as well as the extension of the sample to other types of workers and greater age ranges and seniority.
Adaptation of the Higher Education in Engineering to the Advanced Manufacturing Technologies

The 21st century will be the era of the fourth industrial revolution with the progressive introduction of the digital society, with smart/connected objects, smart factories that are driven by robotics, the Internet of Things (IoT) and artificial intelligence. Manufacturing is expected to be performed by smart factories, i.e. the industry 4.0, which is the outcome of steady development of information technology associated with new objects and systems that can automatically supervise and fulfil manufacturing tasks. The industry 4.0 concept relies largely on the ability to design and manufacture smart and connected devices that are based on microelectronics technology. This evolution requires highly-skilled technicians, engineers and PhDs, all of them well prepared for research, development and manufacturing. Their training, which combines knowledge and the associated compulsory know-how, is becoming the main challenge for the academic world. The curricula must therefore include the basic knowledge and associated know-how training in all the specialties of the field. The software and hardware tools used in microelectronics education are becoming highly complex and expensive that the most viable solution for practical training is to share technical facilities and human resources. This strategy has been adopted by the French microelectronics education network, which includes twelve universities and two industrial unions. By sharing human resources and technical facilities, the CNFM network was able to minimize the costs and to train future graduates on up-to-date tools similar to those used in companies. This paper aims to show how the strategy adopted by the French network can help meeting the needs of the future industry 4.0. Several examples of innovative activities developed in this strategy will be given.
PHARMACEUTICAL SEARCH ENGINE

The vertical search engine searches in the text of specific domain. In this project, we built a pharmaceutical vertical search engine using a supervised learning classifier, Rocchio, to classify documents into two different classes; one pharmaceutical and another computer science. For learning of the classifier, small document collection is created. It is evaluated using abstracts from 86 research papers and accuracy yields 90% results. An inverted index is built containing terms from selected pharmaceutical documents. An interface is also developed to interact with the user. User can issue simple keyword like queries and documents are retrieved using TF-IDF statistics and BM25 weighting scheme. Retrieved results are ranked in descending order from the highest relevance score to lowest relevance score. New information can be classified and added to the index using search interface. The system is designed and developed using the Spiral Model and implemented in dot.net tools. The survey and interviewing techniques are also used to identify the needs and prioritizing tasks.
AI and Procurement

Problem definition: In this research, we study how buyers’ use of artificial intelligence (AI) affects suppliers’ price quoting strategies. Specifically, we study the impact of automation—that is, the buyer uses a chatbot to automatically inquire about prices instead of asking in person—and the impact of smartness—that is, the buyer signals the use of a smart AI algorithm in selecting the supplier. Academic/practical relevance: In a world advancing toward AI, we explore how AI creates and delivers value in procurement. AI has two unique abilities: automation and smartness, which are associated with physical machines or software that enable us to operate more efficiently and effectively. Methodology: We collaborate with a trading company to run a field experiment on an online platform in which we compare suppliers’ wholesale price quotes across female, male, and chatbot buyer types under AI and no recommendation conditions. Results: We find that, when not equipped with a smart control, there is price discrimination against chatbot buyers who receive a higher wholesale price quote than human buyers. In fact, without smartness, automation alone receives the highest quoted wholesale price. However, signaling the use of a smart recommendation system can effectively reduce suppliers’ price quote for chatbot buyers. We also show that AI delivers the most value when buyers adopt automation and smartness simultaneously in procurement. Managerial implications: Our results imply that automation is not very valuable when implemented without smartness, which in turn suggests that building smartness is necessary before considering high levels of autonomy. Our study unlocks the optimal steps that buyers could adopt to develop AI in procurement processes.
Abeta42 oligomers trigger synaptic loss through AMPK-dependent activation of mitochondrial fission and mitophagy

Abeta 42 oligomers trigger synaptic loss through AMPK-dependent activation of mitochondrial fission and mitophagy Annie Lee The following dissertation discusses the role of Aβ42 dependent hyperactivation of AMPK mediating synaptic loss through coordinated Mff-dependent mitochondrial fission and Ulk2dpendent mitophagy in dendrites of PNs. In Chapter 1, I provide a brief background on Alzheimer’s disease and the cellular and molecular mechanisms that have been relevant to the pathogenesis of the disease including disruption on mitochondrial homeostasis and autophagy. In Chapter 2, I discuss the findings of my main project describing the role of Aβ42 induced mitochondrial remodeling leading to synapse loss in vitro and in vivo in part by hyperactivation of CAMKKII-AMPK. Chapter 3 covers a review article that I participated in in examining the role of mitochondria in various ND. In Chapter 4, I discuss about a project I was involved in in examining the mechanism behind maintaining mitochondrial morphology in axon versus dendrite and its functional consequence. In Chapter 5, I end the dissertation by highlighting key findings, potential future studies, and concluding remarks.