166 research outputs found
DroneRF dataset : A dataset of drones for RF-based detection, classification and identification
Modern technology has pushed us into the information age, making it easier to generate and record vast quantities of new data. Datasets can help in analyzing the situation to give a better understanding, and more importantly, decision making. Consequently, datasets, and uses to which they can be put, have become increasingly valuable commodities. This article describes the DroneRF dataset: a radio frequency (RF) based dataset of drones functioning in different modes, including off, on and connected, hovering, flying, and video recording. The dataset contains recordings of RF activities, composed of 227 recorded segments collected from 3 different drones, as well as recordings of background RF activities with no drones. The data has been collected by RF receivers that intercepts the drone's communications with the flight control module. The receivers are connected to two laptops, via PCIe cables, that runs a program responsible for fetching, processing and storing the sensed RF data in a database. An example of how this dataset can be interpreted and used can be found in the related research article âRF-based drone detection and identification using deep learning approaches: an initiative towards a large open source drone databaseâ (Al-Sa'd et al., 2019).publishedVersionPeer reviewe
High-Affinity Cu(I)-Chelator with Potential Anti-Tumorigenic Action-A Proof-of-Principle Experimental Study of Human H460 Tumors in the CAM Assay
Human lung cancer ranks among the most frequently treated cancers worldwide. As copper appears critical to angiogenesis and tumor growth, selective removal of copper represents a promising strategy to restrict tumor growth. To this end, we explored the activity of the novel high-affinity membrane-permeant Cu(I) chelator PSP-2 featuring a low-zeptomolar dissociation constant. Using H460 human lung cancer cells, we generated small tumors on the chorioallantoic membrane of the chicken embryo (CAM assay) and studied the effects of topical PSP-2 application on their weight and vessel density after one week. We observed a significant angiosuppression along with a marked decrease in tumor weight under PSP-2 application compared to controls. Moreover, PSP-2 exposure resulted in lower ki67+ cell numbers at a low dose but increased cell count under a high dose. Moreover, HIF-1α+ cells were significantly reduced with low-dose PSP-2 exposure compared to high-dose and control. The total copper content was considerably lower in PSP-2 treated tumors, although statistically not significant. Altogether, PSP-2 shows promising potential as an anti-cancer drug. Nevertheless, further animal experiments and application to different tumor types are mandatory to support these initial findings, paving the way toward clinical trials.
Keywords: CAM assay; angiogenesis; copper chelation; human lung cance
TARIBAN1, TARIBAN2, TARIBAN3, and TARIBAN4 'Matooke' Cooking Banana Cultivars for the Great Lakes Region of Africa
Ongoing mpox outbreak in Kamituga, South Kivu province, associated with monkeypox virus of a novel Clade I sub-lineage, Democratic Republic of the Congo, 2024
Since the beginning of 2023, the number of people with suspected monkeypox virus (MPXV) infection have sharply increased in the Democratic Republic of the Congo (DRC). We report near-to-complete MPXV genome sequences derived from six cases from the South Kivu province. Phylogenetic analyses reveal that the MPXV affecting the cases belongs to a novel Clade I sub-lineage. The outbreak strain genome lacks the target sequence of the probe and primers of a commonly used Clade I-specific real-time PCR.</p
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning
While machine learning is rapidly being developed and deployed in health
settings such as influenza prediction, there are critical challenges in using
data from one environment in another due to variability in features; even
within disease labels there can be differences (e.g. "fever" may mean something
different reported in a doctor's office versus in an online app). Moreover,
models are often built on passive, observational data which contain different
distributions of population subgroups (e.g. men or women). Thus, there are two
forms of instability between environments in this observational transport
problem. We first harness knowledge from health to conceptualize the underlying
causal structure of this problem in a health outcome prediction task. Based on
sources of stability in the model, we posit that for human-sourced data and
health prediction tasks we can combine environment and population information
in a novel population-aware hierarchical Bayesian domain adaptation framework
that harnesses multiple invariant components through population attributes when
needed. We study the conditions under which invariant learning fails, leading
to reliance on the environment-specific attributes. Experimental results for an
influenza prediction task on four datasets gathered from different contexts
show the model can improve prediction in the case of largely unlabelled target
data from a new environment and different constituent population, by harnessing
both environment and population invariant information. This work represents a
novel, principled way to address a critical challenge by blending domain
(health) knowledge and algorithmic innovation. The proposed approach will have
a significant impact in many social settings wherein who and where the data
comes from matters
Y-Chromosomal Insights into Breeding History and Sire Line Genealogies of Arabian Horses
The Y chromosome is a valuable genetic marker for studying the origin and influence of paternal lineages in populations. In this study, we conducted Y-chromosomal lineage-tracing in Arabian horses. First, we resolved a Y haplotype phylogeny based on the next generation sequencing data of 157 males from several breeds. Y-chromosomal haplotypes specific for Arabian horses were inferred by genotyping a collection of 145 males representing most Arabian sire lines that are active around the globe. These lines formed three discrete haplogroups, and the same haplogroups were detected in Arabian populations native to the Middle East. The Arabian haplotypes were clearly distinct from the ones detected in Akhal Tekes, Turkoman horses, and the progeny of two Thoroughbred foundation sires. However, a haplotype introduced into the English Thoroughbred by the stallion Byerley Turk (1680), was shared among Arabians, Turkomans, and Akhal Tekes, which opens a discussion about the historic connections between Oriental horse types. Furthermore, we genetically traced Arabian sire line breeding in the Western World over the past 200 years. This confirmed a strong selection for relatively few male lineages and uncovered incongruences to written pedigree records. Overall, we demonstrate how fine-scaled Y-analysis contributes to a better understanding of the historical development of horse breeds.Peer Reviewe
Acquisition of a Unique Onshore/Offshore Geophysical and Geochemical Dataset in the Northern Malawi (Nyasa) Rift
The Study of Extension and maGmatism in Malawi aNd Tanzania (SEGMeNT) project acquired a comprehensive suite of geophysical and geochemical datasets across the northern Malawi (Nyasa) rift in the East Africa rift system. Onshore/offshore active and passive seismic data, longâperiod and wideband magnetotelluric data, continuous Global Positioning System data, and geochemical samples were acquired between 2012 and 2016. This combination of data is intended to elucidate the sedimentary, crustal, and upperâmantle architecture of the rift, patterns of active deformation, and the origin and age of riftârelated magmatism. A unique component of our program was the acquisition of seismic data in Lake Malawi, including seismic reflection, onshore/offshore wideâangle seismic reflection/refraction, and broadband seismic data from lakeâbottom seismometers, a towed streamer, and a large towed airâgun source
Blood glucose testing and primary prevention of diabetes mellitus type 2 - evaluation of the effect of evidence based patient information
<p>Abstract</p> <p>Background</p> <p>Evidence-based patient information (EBPI) has been recognised as important tool for informed choice in particular in the matter of preventive options. An objective, on the best scientific evidence-based consumer information about subthreshold elevated blood glucose levels (impaired fasting glucose and impaired glucose tolerance) and primary prevention of diabetes, is not available yet. Thus we developed a web-based EBPI and aim to evaluate its effects on informed decision making in people 50 years or older.</p> <p>Methods/Design</p> <p>We conduct a web-based randomised-controlled trial to evaluate the effect of information about elevated blood glucose levels and diabetes primary prevention on five specific outcomes: (i) knowledge of elevated blood glucose level-related issues (primary outcome); (ii) attitudes to a metabolic testing; (iii) intention to undergo a metabolic testing; (iv) decision conflict; (v) satisfaction with the information. The intervention group receives a specially developed EBPI about subthreshold elevated blood glucose levels and diabetes primary prevention, the control group information about this topic, available in the internet.</p> <p>The study population consists of people between 50 and 69 years of age without known diabetes. Participants will be recruited via the internet page of the cooperating health insurance company, Techniker Krankenkasse (TK), and the internet page of the German Diabetes Centre. Outcomes will be measured through online questionnaires. We expect better informed participants in the intervention group.</p> <p>Discussion</p> <p>The design of this study may be a prototype for other web-based prevention information and their evaluation.</p> <p>Trial registration</p> <p>Current Controlled Trial: ISRCTN22060616.</p
STUDI ALTERNATIF PERENCANAAAN SISTEM RANGKA PEMIKUL MOMEN KHUSUS (SRPMK) DENGAN KOLOM BULAT PADA KANTOR PUSAT ESTIKES KEPANJEN MALANG
Kolom merupakam elemen vertikal suatu struktur yang berfungsi menahan
beban aksial dan momen sebagai akibat beban gravitasi dan beban lateral yang
bekerja pada struktur. Oleh karena itu, kolom memegan penampang penting pada
keutuhan struktur, apabila kolom mengalami kegagalan akan berakibat pada
keruntuhan struktur bangunan atas gedung. perbedaan kolom bulat dan kolom
persegi sangkat mendasar. Jika ditinjau dari tulangan sengkang, kolom bulat
perpenampang spiral memiliki jarak sengkang yang berdekatan diabnding dengan
kolom dengan kolom persegi yang mempunya bentuk sengkang tunggal dan jarak
antara yang relatif besaar.
Kolom bulat yang menghasilkan kapsitas penampang, gaya â gaya dalam
seperti gaya aksial; gaya geser; gaya momen, dan simpangan (maximum
displacement) sehingga dalam skripsi ini untuk mengetahui desain kolom bulat
yang efisien dan efikas didalam perencanaan.
Hasil yang diperoleh dari perenanaan struktur gedung dengan kolom bulat
pada gedung kantor pusat stikes kepanjen malang dengan program bantu STAAD
PRO V 8, yang ditinjau dari kapasitas penampang dengan luas mutu beton kolom
bulat menghasilkan ĂPn (aksial nominal) = 3988,690 kN, ĂMn ( Momen nominal
) = 478,812 kNm, Vn (Geser nominal) = 681629,848 N. Sehingga kolom bulat
memiliki kapasitas penampang yang lebih besar dan efektif. Ditinjau dari rasio
dan gaya-gaya dalam struktur, kolom bulat memiliki gaya aksial = 0,021,
kekakuan struktur pada kolom bulat memiliki simpangan (maximum
displacements) yang lebih besar dari kolom persegi. Sehingga kekakuan pada
kolom bulat lebih tinggi dengan kolom persegi
Refining the evolutionary tree of the horse Y chromosome
The Y chromosome carries information about the demography of paternal lineages, and thus, can prove invaluable for retracing both the evolutionary trajectory of wild animals and the breeding history of domesticates. In horses, the Y chromosome shows a limited, but highly informative, sequence diversity, supporting the increasing breeding influence of Oriental lineages during the last 1500 years. Here, we augment the primary horse Y-phylogeny, which is currently mainly based on modern horse breeds of economic interest, with haplotypes (HT) segregating in remote horse populations around the world. We analyze target enriched sequencing data of 5 Mb of the Y chromosome from 76 domestic males, together with 89 whole genome sequenced domestic males and five Przewalski's horses from previous studies. The resulting phylogeny comprises 153 HTs defined by 2966 variants and offers unprecedented resolution into the history of horse paternal lineages. It reveals the presence of a remarkable number of previously unknown haplogroups in Mongolian horses and insular populations. Phylogenetic placement of HTs retrieved from 163 archaeological specimens further indicates that most of the present-day Y-chromosomal variation evolved after the domestication process that started around 4200 years ago in the Western Eurasian steppes. Our comprehensive phylogeny significantly reduces ascertainment bias and constitutes a robust evolutionary framework for analyzing horse population dynamics and diversity
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