Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Transcriptome Analysis Provides Insights into the Resistance in Pueraria [Pueraria lobata (Willd.) Ohwi] in Response to Pseudo-Rust Disease

Pueraria lobata is an important medicinal and edible homologous plant that is widely cultivated in Asian countries. However, its production and quality are seriously threatened by its susceptibility to pseudo-rust disease. The underlying molecular mechanisms are poorly known, particularly from a transcriptional perspective. Pseudo-rust disease is a major disease in pueraria, primarily caused by Synchytrium puerariae Miy (SpM). In this study, transcriptomic profiles were analyzed and compared between two pueraria varieties: the disease-resistant variety (GUIGE18) and the susceptible variety (GUIGE8). The results suggest that the number of DEGs in GUIGE18 is always more than in GUIGE8 at each of the three time points after SpM infection, indicating that their responses to SpM infection may be different, and that the active response of GUIGE18 to SpM infection may occur earlier than that of GUIGE8. A total of 7044 differentially expressed genes (DEGs) were identified, and 406 co-expressed DEGs were screened out. Transcription factor analysis among the DEGs revealed that the bHLH, WRKY, ERF, and MYB families may play an important role in the interaction between pueraria and pathogens. A GO and KEGG enrichment analysis of these DEGs showed that they were mainly involved in the following pathways: metabolic, defense response, plant hormone signal transduction, MAPK signaling pathway-plant, plant pathogen interaction, flavonoid biosynthesis, phenylpropanoid biosynthesis, and secondary metabolite biosynthesis. The CPK, CESA, PME, and CYP gene families may play important roles in the early stages after SpM infection. The DEGs that encode antioxidase (CAT, XDH, and SOD) were much more up-regulated. Defense enzyme activity, endogenous hormones, and flavonoid content changed significantly in the two varieties at the three infection stages. Finally, we speculated on the regulatory pathways of pueraria pseudo-rust and found that an oxidation-reduction process, flavonoid biosynthesis, and ABA signaling genes may be associated with the response to SpM infection in pueraria. These results expand the understanding of pueraria resistance and physiological regulations by multiple pathways.
Super-Resolution for Brain MR Images from a Significantly Small Amount of Training Data

article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at Abstract: We propose two essential techniques to effectively train generative adversarial network-based super-resolution networks for brain magnetic resonance images, even when only a small number of training samples are available. First, stochastic patch sampling is proposed, which in-creases training samples by sampling many small patches from the input image. However, sampling patches and combining them causes unpleasant artifacts around patch boundaries. The second proposed method, an artifact-suppressing discriminator, suppresses the artifacts by taking two-channel input containing an original high-resolution image and a generated image. With the introduction of the proposed techniques, the network achieved generation of natural-looking MR images from only ~40 training images, and improved the area-under-curve score on Alzheimer’s disease from 76.17% to 81.57%.
Forest Management and Planning

This book provides a focused understanding of contemporary forest management issues through real life examples to engage students. The methodology for the development of quantitatively-derived forest management plans - from gathering information to the implementation of plans at the forest level - are explicit explained. Emphasis is placed on the development of the traditional commodity production forest plans using linear programming, the development of alternative forest plans, and problem resolution in planning.The authors have developed this book based on their personal experience in teaching forest management courses and the review of ten forestry programs (Auburn University, University of Georgia, Iowa State University, Louisiana State University, Northern Arizona University, Ohio State University, Pennsylvania State University, University of Florida, Virginia Tech, and Oregon State University). The integration of extended case studies of a variety of scenarios as well as the inclusion of a section on report writing will engage students. Acknowledgement and integration of various software packages for forest management provide the most useful tools for those studying forest management and distinguish this book from the competition.It features: real-life examples illustrated mathematically and graphically; end-of-chapter questions; modern coverage of the planning and management of US Forest timber production; instructors Web site with access to geographic databases, solutions and illustrations; case study analysis; expansive applications drawn for examples in the western US, the Lake States, the northeastern US, the southern US and Canada; and, detailed descriptions of models and solution methods for integrating a variety of wildlife habitat constraints.
Object Relations-Focused Psychoanalytic Psychotherapy in the Treatment of Narcissistic Personality Disorder

The current study examines the psychotherapeutic treatment of an early-20s Caucasian male diagnosed with narcissistic personality disorder. The patient was treated with 56 sessions of psychoanalytic psychotherapy utilizing an object relations approach. Treatment aimed at decreasing the patient’s anger, anxiety, depression, and improving emotion regulation. Another focus of this patient’s treatment was helping him gain insight into the nature of his unconscious predictions and interpretations of others’ behavior in the hope that he may begin to experience relationships with greater emotional connection and less conflict. Treatment outcomes were measured using Reliable Change Index analyses, which indicated a significant reduction in anxiety, depression, anger, and emotion regulation difficulty between the beginning of treatment and the most recent session. The patient also demonstrated increased mentalization abilities and fewer anger outbursts throughout the course of treatment. During the sessions surrounding a therapeutic rupture, the patient’s emotion regulation abilities worsened temporarily; therapy shifted during this time to a more supportive analytic framework. An object relations-focused theoretical background and clinical treatment implications are discussed in relation to this case.
A Research-backed Extended Taxonomy for Cloud Computing Elasticity

: Elasticity is an important feature to characterize cloud computing from traditional Information Technology (IT) infrastructure. It refers to the ability of the cloud provider to provision and release cloud resources, with demand, appearing to be inﬁnite in any quantity at any time.In this paper, we propose a taxonomy which is an extended elasticity classiﬁcations compared to existing ones. Then, we discuss industrial and academic research on cloud elasticity to identify the main issues and drawbacks. Finally, we propose a synthesis of the studied works based on elasticity solutions’ characteristics provided from our taxonomy.
Ivip (Internet Vastly Improved Plumbing) Architecture

Ivip (Internet Vastly Improved Plumbing) is a core-edge separation solution to the routing scaling problem, for both IPv4 and IPv6. It provides portable address space which is suitable for multihoming and inbound traffic engineering (TE) to end-user networks of all types and sizes. The subset of the global unicast address space which is used in this fashion is called SPI (Scalable Provider Independent) space. End- user networks divide their SPI space into "micronets", each with a common mapping to a particular ETR (Egress Tunnel Router) address. ITRs (Ingress Tunnel Routers) receive packets which are addressed to SPI addresses and, after looking up the mapping at a local query server, tunnel traffic packets to the ETR which delivers them to the end-user network. Ivip pushes mapping changes in real- time to local full-database query servers - such as in each ISP. These answer ITRs' mapping queries and push subsequent changes to the mapping to any ITRs which would still be caching the mapping of an earlier reply. The mapping for a micronet consists of a single ETR address. ITRs make no decisions between multiple ETR addresses. End-user networks would typically contract a separate company to change the mapping of their micronet, in response to the reachability of their ETRs and TE and portability between ISPs. Ivip includes two extensions for ITR-to-ETR tunneling without encapsulation and the resulting Path MTU Discovery problems - one for IPv4 and the other for IPv6. Both involve modifying the IP header and require most DFZ routers to be upgraded. Ivip is a good basis for the TTR (Translating Tunnel Router) approach to mobility, in which mobile hosts retain an SPI micronet of one IPv4 address (or IPv6 /64) no matter what physical addresses they are using, including behind NAT. TTR mobility for both IPv4 and IPv6 involves generally optimal paths and works with unmodified correspondent hosts.
Exploring the use of public participation GIS in transportation planning for tourism at a Nordic destination

ABSTRACT The purpose of this paper is to showcase how Public Participation Geographic Information Systems (PPGIS) can be used to assist in collecting data of relevance for planning at a tourism destination in general and, specifically how PPGIS data can assist in the early stages of transportation planning. In this paper, we report on a PPGIS study in Sälenfjällen, the largest ski tourism destination in Sweden. Our analysis uses data from 162 visitors sampled on-site using online and paper-based questionnaires containing survey questions and mapping tasks. We use the survey and mapped results from Sälenfjällen to discuss the opportunities and challenges of using PGGIS for this planning purpose. We conclude that, despite of various challenges like low response rates and sampling issues, PPGIS provides the possibility to collect rich information in terms of survey results and mapped values. This is important in understanding a transportation challenge at the early stages of planning, namely the initiation stage. Our study adds to a growing literature exploring the use of PPGIS in the field of tourism and recreation. To the best of our knowledge, ours is the first to use this approach in a tourism-transport context in a Nordic destination.
Determination of handedness: An anthropometric evaluation of the glenoid cavity

Background: The search for suitable parameters that defines handedness from skeletal remains a concept yet to be achieved. This has created postulations and theories of guess and noninvestigative proofs. Anthropometric parameters provide insight on the variation that exists between anatomical structures. Such variations may also exist between the two sides of a bone. Aims: This study was therefore aimed at determining the anthropometric relationship and variation between the right and left sides of the glenoid cavity of the scapula and its implication in forensic medicine. Materials and Methods: This study drew samples from 173 nondeformed, well-macerated scapulae bones comprising 75 right (R) and 98 left (L) of undetermined sex and age; obtained from the Department of Human Anatomy at various institutions in South-South Nigeria. Two anthropometrical parameters were measured from the glenoid cavity using sliding digital caliper calibrated to 0.00 mm. The measured dimensions included maximum glenoid height (MGH), maximum glenoid width (MGW), and the glenoid index (GI) was calculated by dividing MGW by MGH. SPSS Version 20 was used to analyze the obtained data. Results: The mean ± standard deviation of the MGH was 36.87 ± 3.94 mm (R = 37.71 ± 4.24 mm, L = 36.22 ± 3.58 mm); MGW was 25.15 ± 3.60 mm (R = 26.20 ± 3.30 mm, L = 24.35 ± 3.64 mm). Statistical analysis using ANOVA and t-test showed the MGH (t = 2.444, P = 0.016) and MGW (t = 3.941, P< 0.01) were observed to be significantly greater in the right side. The GI was calculated as 0.682 ± 0.059; the right side (0.696 ± 0.055) was significantly smaller than the left (0.671 ± 0.060). Conclusion: The evidence from this study can be an indication of kinanthropological application of the scapula; in which a side is most frequently used than the other (handedness). The result of this study can aid in decision making; in the reconstruction of damaged skeletal part, an identification which can be partial or complete and biological profiling. Recommendation: We believe that the validation of this finding is vital; hence, a larger sample from different regions should be studied as to reach significant conclusions.
Enhancement of Magnetic Properties and Magnetocaloric Effects for Mn0.975Fe0.975P0.5Si0.5 Alloys by Optimizing Quenching Temperature

The effect of quenching temperature on phase structure and magnetocaloric properties of the Mn0.975Fe0. 975P0.5Si0. 5 alloys are systematically studied by X‐ray diffraction, scanning electron microscope, differential scanning calorimetry, and vibrating sample magnetometer. The Mn0.975Fe0. 975P0.5Si0. 5 alloys quenched at 1323, 1073, 873, and 673 K are all crystallized in the hexagonal Fe2P‐type phase and the phase fraction of the Fe2P phase increases with the decreases of quenching temperature. As the quenching temperature decreases from 1323 to 673 K, the crystal lattice of alloys expands and the atoms' occupation is more ordered, while the saturation magnetic moment increases from 3.71 to 4.10 μB f.u. −1 The values of thermal hysteresis increase linearly from 30 to 41 K when the quenching temperature is down to 673 K. This enhancement of the first‐order magnetic transition (FOMT) yields the maximum value of magnetic entropy change at 5 T increasing by 36%. To obtain excellent comprehensive properties for (Mn,Fe)2(P,Si) alloys, the methods of doping B element in the Mn0.975Fe0. 975P0.5Si0. 5 alloy are employed to tune the magnetocaloric properties. The results provide insights and systematic understanding into the effect of quenching temperature on the magnetocaloric properties of (Mn,Fe)2(P,Si)‐based alloys.
Get ready for Cloud Computing: A comprehensive guide to Virtualization and Cloud Computing

The IT sector is full of hype. But once in a while there is a genuine inflection point, a moment at which the way of doing things fundamentally changes due to the introduction of new technologies. The rise of cloud computing is just such an inflection point. Cloud computing is the next stage of the Internet computing model, one in which organizations will consume services, not technologies. These services will be ready to run, available outside the office walls, and be paid for on the basis of usage, just like water or electricity. As the cloud and services model matures, not only will businesses be able to solve old problems more inexpensively and rapidly, they will also be able to address new challenges that were previously out of reach. Cloud computing promises a more flexible services model for IT systems that puts the business unit or end user at the center of the process. In this way, both the IT organization and the business itself become more agile. At the same time, cloud computing promises to reduce the delivered cost of IT through a greater degree of resource utilization, automation, and self service. This will not happen overnight. It will not be next year, nor even within a year or two. But as time passes, more and more companies will find themselves in a position to be able to source services wherever they like: inside the organization or from any provider, whether it be Google, IBM, HP, EMC, Cisco, Microsoft, Amazon, T-Systems or any other cloud computing vendor. This book is a comprehensive introduction to cloud computing and its most prominent enabling technology: virtualization. In the first part, you are guided through the visions, concept and models behind cloud computing. You will learn how your organization can profit from cloud-enabling technologies and how you can incorporate them in your IT infrastructure. Part II of this book consists of Industry Outlooks : in depth articles from industry experts. Part III offers a series of useful case stories, covering a broad diversity of virtualization and cloud-related issues.
Farming Assistance for Soil Fertility Improvement and Crop Prediction using XGBoost

In India most vital and widely practiced occupation is Agriculture and it plays a vital role in the development of our country. Soil properties, rainfall, temperature, humidity and soil pH are the factors on which agriculture is depended. In agriculture, the selection of the wrong crop may reduce crop production. Farmers should know which crops can be grown in their area. Machine Learning-based solutions are widely used in the agriculture sector. This proposed work is a recommendation system in which Machine Learning techniques are used to recommend best three crops based on soil and weather parameters. The top three crops are recommended because farmers may not have access to a particular crop if only one crop is recommended. Previous studies in this field have been done by using different Machine Learning algorithms such as Random Forest, KNN, Naïve Bayes, etc. In this proposed system XGBoost Machine Learning algorithm is used which gives better results than other algorithms. In addition, the system provides information about how to improve the soil for growing the desired crop and gives the weather forecast for next five days. As a result, this system will help farmers minimize their financial losses while also increasing crop productivity.
Low-Profile Dual-Band Magneto-Electric Dipole Antenna Loaded With Metasurface

A low-profile dual-band magneto-electric (ME) dipole antenna loaded with metasurface is proposed in this letter. The ME dipole operates at the lower band and the metasurface works at the upper one. The antenna is printed on two substrate layers with a profile of only 0.058 λ0 (λ0 is the wavelength in free space at the center frequency of the lower band). The ME dipole is on the lower substrate. The electric dipoles are composed of four quasi-square ring patches, whereas the magnetic dipole is made up of the metalized vias loops and the ground plane. The metasurface above the ME dipole is on the upper substrate, which is composed of 4 × 4 square patches. An antenna prototype operating in X/Ku-band is fabricated and measured. The measured |S11| <−10 dB bandwidths of the two bands are 22.6% and 13.4%, respectively.
Ca2+‐activated Sphingomyelin Scrambling and Turnover Mediate ESCRT‐independent Lysosomal Repair

Lysosomes are vital organelles vulnerable to injuries from diverse materials. Failure to repair or sequester damaged lysosomes poses a threat to cell viability. Here we report that cells exploit a sphingomyelin‐based lysosomal repair pathway that operates independently of ESCRT to reverse potentially lethal membrane damage. Various conditions perturbing organelle integrity trigger a rapid calcium‐activated scrambling and cytosolic exposure of sphingomyelin. Subsequent metabolic conversion of sphingomyelin by neutral sphingomyelinases on the cytosolic surface of injured lysosomes promotes their repair, also when ESCRT function is compromised. Conversely, blocking turnover of cytosolic sphingomyelin renders cells more sensitive to lysosome‐damaging drugs. Our data indicate that calcium‐activated scramblases, sphingomyelin, and neutral sphingomyelinases are core components of a previously unrecognized membrane restoration pathway by which cells preserve the functional integrity of lysosomes.
The Vienna LTE-Advanced Simulators: Up and Downlink, Link and System Level Simulation

This book introduces the Vienna Simulator Suite for 3rd-Generation Partnership Project (3GPP)-compatible Long Term Evolution-Advanced (LTE-A) simulators and presents applications to demonstrate their uses for describing, designing, and optimizing wireless cellular LTE-A networks. Part One addresses LTE and LTE-A link level techniques. As there has been high demand for the downlink (DL) simulator, it constitutes the central focus of the majority of the chapters. This part of the book reports on relevant highlights, including single-user (SU), multi-user (MU) and single-input-single-output (SISO) as well as multiple-input-multiple-output (MIMO) transmissions. Furthermore, it summarizes the optimal pilot pattern for high-speed communications as well as different synchronization issues. One chapter is devoted to experiments that show how the link level simulator can provide input to a testbed. This section also uses measurements to present and validate fundamental results on orthogonal frequency division multiplexing (OFDM) transmissions that are not limited to LTE-A. One chapter exclusively deals with the newest tool, the uplink (UL) link level simulator, and presents cutting-edge results. In turn, Part Two focuses on system-level simulations. From early on, system-level simulations have been in high demand, as people are naturally seeking answers when scenarios with numerous base stations and hundreds of users are investigated. This part not only explains how mathematical abstraction can be employed to speed up simulations by several hundred times without sacrificing precision, but also illustrates new theories on how to abstract large urban heterogeneous networks with indoor small cells. It also reports on advanced applications such as train and car transmissions to demonstrate the tools capabilities.