cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Analysis of the bonding affinities between human PSGL-1 and Vpu derived from the different HIV-1 groups – in silico insights
Creators: name: Zaongo, Silvere D.
name: Rashid, Farooq
name: Suleman, Muhammad
name: Harypursat, Vijay
name: Song, Fangzhou
name: Chen, Yaokai
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Molecular Biology
subject: Evolutionary Biology
subject: Chemical Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Virology
subject: Computational Biology

description: Human P-selectin glycoprotein ligand 1 (PSGL-1) and HIV-1 viral protein U (Vpu) play major roles in limiting and increasing the ability of HIV-1 to infect cells, respectively. There is currently no published data reporting on the specific interactions between PSGL-1 and Vpu, and possible outcomes and consequences of these interactions. To date, it has only been established that Vpu binds human PSGL-1 to degrade PSGL-1 and therefore promote HIV replication. There are, however, four different types of HIV-1, and it would be helpful to know how VpuM, VpuN, VpuO, and VpuP can bind to and possibly inhibit PSGL-1 expression. Bioinformatics methods were used to find out how strongly each type of Vpu found in the different HIV-1 groups bonds with human PSGL-1. Thus, we used molecular docking (MD) and molecular dynamics simulations (MDS) to figure out how PSGL-1 and VpuM, VpuN, VpuO, and VpuP interact with each other. To ensure the reliability of the predicted outcomes, the binding energy of each model was calculated using the MM/GBSA technique. Our findings show that PSGL-1-VpuP (4 H bonds, 2 salt bridges) and PSGL-1-VpuM (3 H bonds, 2 salt bridges) have stronger bonding affinities than PSGL-1-VpuN (4 H bonds, no salt bridges) and PSGL-1-VpuO (2 H bonds, 1 salt bridge). The MDS test also shows that PSGL-1-VpuM and PSGL-1-VpuP protein complexes are more stable and compact, with lower residual fluctuations compared to PSGL-1-VpuN and PSGL-1-VpuO protein complexes. Binding free energies of −82.27 ± 1.35 kcal/mol, −82.17 ± 0.84 kcal/mol, −67.84 ± 0.63 kcal/mol, and −131.86 ± 1.08 kcal/mol were recorded for each of PSGL1-VpuM, PSGL1-VpuN, PSGL1-VpuO, and PSGL1-VpuP, respectively, which further supports our results. Our research shows that Vpu from the M and P HIV-1 groups may be better at blocking human PSGL-1 than VpuO and VpuN groups. These results are novel in this specific realm of HIV research, and as such, further investigations in more robust experimental studies are warranted.
Pengaruh Work Family Conflict Terhadap Burnout Pada Ibu Bekerja Sebagai Perawat
Creators: name: I Made Candra Budi Pramana, Yuarini Pertiwi
Publisher: name: Zenodo
Year: 2024

description: Seorang ibu yang tidak dapat mengontrol dan mengelola tekanan yang dihadapi hal itu akan menjadi beban yang dirasa sehingga dapat menyebabkan ibu merasa stres. Penelitian ini menggunakan metode kuantitatif dengan pendekatan regresional. Penelitian kuantitatif merupakan salah satu jenis penelitian ilmiah yang sistematis terhadap bagian-bagian dan fenomena serta hubungannya. Fenomena yang terjadi berdasarkan hasil penelitian diperoleh bahwa perawat mengalami burnout yang ditemukan dari perhitungan setiap dimensi burnout dimensi kelelahan emosional sebanyak 63 perawat (61,2%), dimensi depersonalisasi sebanyak 48 perawat (46,6%), dimensi pencapaian prestasi diri sebanyak 70 perawat (68%). Hasil dari uji kategorisasi, dapat diketahui bahwa pada work family conflict terdapat hasil yang signifikan pada dimensi kelekatan (attachment) yang berarti seseorang yang melakukan work family conflict harus memiliki kedekatan dan kecocokan yang dapat merasakan tekanan dalam mengurus anak di usia < 15 tahun. Selanjutnya pada burnout terdapat hasil yang signifikan pada dimensi kelelahan dalam bekerja. Penelitian ini menggunakan metode kuantitatif dengan pendekatan regresional. Menurut (Wardhana, 2022) penelitian kuantitatif merupakan salah satu jenis penelitian ilmiah yang sistematis terhadap bagian-bagian dan fenomena serta hubungannya. jumlah responden yang diperoleh dalam penelitian ini sebanyak 35 individu. a. Berdasarkan hasil penelitian dapat disimpulkan bahwa terdapat hubungan yang positif yang signifikan antara work family conflict dengan burnout pada ibu bekerja sebagai perawat dirumah sakit X dengan adanya hasil positif ini dapat diartikan bahwa semakin tinggi suatu variabel maka semakin tinggi juga variabel yang lainya.
Tidal forces in dirty black hole spacetimes
Creators: name: Junior, Haroldo C. D. Lima
name: Corrêa, Mateus M.
name: Macedo, Caio F. B.
name: Crispino, Luís C. B.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Black holes can be inserted in very rich astrophysical environments, such as accretion disks. Although isolated black holes are simple objects in general relativity, their accretion disks may significantly enrich the field configurations of their surroundings. Alternative theories of gravity can lead to novel black hole solutions, which can be represented by small deviations in the metric due to an effective stress-energy tensor. Among the key aspects of the interaction of black holes with their surroundings, stand tidal forces phenomena. We study the tidal forces of spherically symmetric black holes in the presence of effective matter fields, dubbed as dirty black holes. These effective fields can generically represent usual or exotic matter associated to a variety of gravity theories. We show that this dirtiness leads to characteristic imprints in the tidal forces, which are absent in the case of a black hole surrounded by vacuum. We apply our results to particular cases, such as black holes coupled to linear and nonlinear electrodynamics theories and a Schwarzschild black hole surrounded by a spherical shell.
description: Published in The European Physical Journal C
ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making
Creators: name: Linhares, Claudio D. G.
name: Lima, Daniel M.
name: Ponciano, Jean R.
name: Olivatto, Mauro M.
name: Gutierrez, Marco A.
name: Poco, Jorge
name: Traina, Caetano
name: Traina, Agma J. M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Physicians work at a very tight schedule and need decision-making support tools to help on improving and doing their work in a timely and dependable manner. Examining piles of sheets with test results and using systems with little visualization support to provide diagnostics is daunting, but that is still the usual way for the physicians' daily procedure, especially in developing countries. Electronic Health Records systems have been designed to keep the patients' history and reduce the time spent analyzing the patient's data. However, better tools to support decision-making are still needed. In this paper, we propose ClinicalPath, a visualization tool for users to track a patient's clinical path through a series of tests and data, which can aid in treatments and diagnoses. Our proposal is focused on patient's data analysis, presenting the test results and clinical history longitudinally. Both the visualization design and the system functionality were developed in close collaboration with experts in the medical domain to ensure a right fit of the technical solutions and the real needs of the professionals. We validated the proposed visualization based on case studies and user assessments through tasks based on the physician's daily activities. Our results show that our proposed system improves the physicians' experience in decision-making tasks, made with more confidence and better usage of the physicians' time, allowing them to take other needed care for the patients.
description: 14 pages and 8 figures
Euura clitellata ZMUO.
Creators: name: Prous, Marko
name: Liston, Andrew
name: Monckton, Spencer K.
name: Kramp, Katja
name: Vårdal, Hege
name: Vikberg, Veli
name: Heibo, Erik
name: Mutanen, Marko
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Tenthredinidae
Euura
Euura clitellata

description: 139 Euura clitellata group
We recognize six species in the group, but nuclear data strongly suggest that E. clitellata contains at least four species and E. fallax probably three. Additional research (particularly to sequence nuclear genes of more specimens to assess morphological variability) is necessary to better associate type specimens with putative species suggested by nuclear genes. Euura vaga, although morphologically a member of the group, is excluded because based on genetics it seems to be about as distant to the clitellata group as to other species groups. Claws with small subapical tooth and characters of lancet (no setae, sutures strongly bending apically, basal serrulae not strongly projecting posteriorly) and valvula 3 (in dorsal view distinctly broadened at base) distinguish the females from those of the other Euura groups and from E. vaga (basal serrulae strongly projecting posteriorly). Males have distinct penis valves enabling reliable identification of species (except within E. clitellata if these are split into additional species).
The width of the mesocutellum seems to correlate positively with the extent of expansion of the head. The E. clitellata subgroup and E. fallax usually have very pale heads, whereas E. moerens, E. lichtwardti and E. clibrichella have much darker heads.
description: Published as part of Prous, Marko, Liston, Andrew, Monckton, Spencer K., Kramp, Katja, Vårdal, Hege, Vikberg, Veli, Heibo, Erik & Mutanen, Marko, 2025, West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae), pp. 1-377 in European Journal of Taxonomy 977 on page 85, DOI: 10.5852/ejt.2025.977.2799, http://zenodo.org/record/15019574
Block Ciphers Substitution Box Generation Based on Natural Randomness in Underwater Acoustics and Knights Tour Chain
Creators: name: Khan, Muhammad Fahad
name: Saleem, Khalid
name: Shah, Tariq
name: Hazzazi, Mohammad Mazyad
name: Bahkali, Ismail
name: Shukla, Piyush Kumar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences
subject: E.3
subject: 94-11

description: The protection of confidential information is a global issue and block encryption algorithms are the most reliable option. The famous information theorist, Claude Shannon has given two desirable characteristics that should exist in a strong cipher which are substitution and permutation in their fundamental research on Communication Theory of Secrecy Systems. block ciphers strictly follow the substitution and permutation principle to generate a ciphertext. The actual strength of the block ciphers against several attacks is entirely based on its substitution characteristic, which is gained by using the S-Box. In the current literature, algebraic structure-based and chaos-based techniques are highly used for the construction of S-boxes because both these techniques have favourable features for S-box construction, but also various attacks of these techniques have been identified. True randomness has been universally recognized as the ideal method for cipher primitives design because true random numbers are unpredictable, irreversible, and unreproducible. The basic concept of the proposed technique is the extraction of true random bits from underwater acoustic waves and to design a novel technique for the dynamic generation of S-boxes using the chain of knights tour. The proposed method satisfies all standard evaluation tests of S-boxes construction and true random numbers generation. Two million bits have been analyzed using the NIST randomness test suite, and the results show that underwater sound waves are an impeccable entropy source for true randomness. Additionally, our dynamically generated S-boxes have better or equal strength, over the latest published S-boxes (2020 to 2021). According to our knowledge first time, this type of research has been done, in which natural randomness of underwater acoustic waves has been used for the construction of block cipher's S-Box
description: 17 pages, 5 figures, Journal
Bioinformatics approach reveals the modulatory role of JUN in atorvastatin-mediated anti-breast cancer effects
Creators: name: Foda, Mohamed Y.
name: Al-Shun, Sara A.
name: Abdelkrim, Guendouzi
name: Salem, Mohamed L.
name: Salah, Nevin A.
name: El-khawaga, Omali Y.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology
subject: Computational Biology

description: Atorvastatin, a widely prescribed cholesterol-lowering drug, has recently shown potential anticancer effects. However, its influence on gene expression and its biological functions in cancer, in particular breast cancer, still unclear. We aim to identify the dysregulated genes associated with atorvastatin treatment and the main players in their biological network. A total of 103 differentially expressed genes (DEGs) in the unified signature were identified, and the functional enrichment analysis suggested their relation to multiple cancer-related pathways. JUN was identified as the hub gene in the protein-protein interaction (PPI) network and was shown to be responsive to atorvastatin in breast cancer. Atorvastatin exhibited notable predicted cytotoxicity against breast cancer lines, with the activity positively correlated with JUN expression. JUN was significantly downregulated in breast cancer expression inversely correlated with cancer progression, whereas higher JUN expression was linked with better survival outcomes. Atorvastatin may directly interact with JUN protein forming a more compact and stable conformation. These findings demystify the potential therapeutic mechanism of atorvastatin in breast cancer, possibly by fine tuning of JUN expression. As such, JUN might serve as a valuable prognostic biomarker in breast cancer.
Euura clibrichella
Creators: name: Prous, Marko
name: Liston, Andrew
name: Monckton, Spencer K.
name: Kramp, Katja
name: Vårdal, Hege
name: Vikberg, Veli
name: Heibo, Erik
name: Mutanen, Marko
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Tenthredinidae
Euura
Euura clibrichella

description: 140 Euura clibrichella (Cameron, 1878)
Figs 137, 373
Nematus clibrichellus Cameron, 1878: 32–33. Holotype ♂ (BMNH), not examined. Type locality: United Kingdom, Scotland, Sutherlandshire, Ben Clibrich.
Nematus thomsoni Cameron, 1882: 540. Syntypes ♀♀ (BMNH), not examined. Type locality: United Kingdom, Scotland, Braemar. Synonymy by Benson (1935).
Pachynematus pubescens Marlatt, 1896a: 91–92 (key), 100–101. Syntypes 3 ♀ ♀ (CUIC?), not examined. Type locality: USA, New Hampshire, Mt Washington.
Pachynematus gotarus Kincaid, 1900: 348–349. Holotype ♂ (USNMENT00778181, USNM, http://n 2t.net/ark:/65665/3bd1b00d6-1001-4d9d-9b1f-0d1529d0741b), not examined. Type locality: USA, Alaska, East Aleutians, Popof Island.
Pachynematus venustus MacGillivray, 1921a: 190–191. Holotype ♂ (CASTYPE826, CAS), not examined. Type locality: USA, Alaska, Pribolof Islands, St George Island.
Pachynematus vernus MacGillivray, 1921a: 191–192. Holotype ♂ (CASTYPE827, CAS), not examined. Type locality: USA, Alaska, Pribolof Islands, St George Island.
Diagnosis
Long hair on head and thorax, particularly in the male, and usually black body enables its separation from the other species of the clitellata group.
Host plants
Carex sp. (Dyar 1897).
Genetics
COI
Based on 8 specimens, maximum within-species distance is 0.15% and the nearest neighbour, diverging by a minimum of 1.38%, is Euura moerens.
Nuclear
Based on 4 specimens, maximum within-species distance is 0.43% (0% based on haplotypes of individual females). The nearest neighbour, diverging by a minimum of 1.53%, is Euura fallax.
Distribution and material examined
Holarctic. Specimens studied are from Canada, Finland, Norway, Sweden, and the United Kingdom.
description: Published as part of Prous, Marko, Liston, Andrew, Monckton, Spencer K., Kramp, Katja, Vårdal, Hege, Vikberg, Veli, Heibo, Erik & Mutanen, Marko, 2025, West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae), pp. 1-377 in European Journal of Taxonomy 977 on pages 85-86, DOI: 10.5852/ejt.2025.977.2799, http://zenodo.org/record/15019574
Euura fallax
Creators: name: Prous, Marko
name: Liston, Andrew
name: Monckton, Spencer K.
name: Kramp, Katja
name: Vårdal, Hege
name: Vikberg, Veli
name: Heibo, Erik
name: Mutanen, Marko
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Tenthredinidae
Euura
Euura fallax

description: 142 Euura fallax (Serville, 1823)
Figs 142, 379
Nematus fallax Serville, 1823: 66. Lectotype designated by Lacourt (2000).
Nematus melanocerus Hartig, 1840: 26. Lectotype designated by Taeger & Blank (1998). Synonymy with xanthocarpus by Taeger & Blank (1998).
Nematus xanthocarpus Hartig, 1840: 23. Types lost (Taeger & Blank, 1998). Type locality: northern Germany. Synonymy by Lacourt (1999).
Nematus eupodius Hartig, 1840: 26. Lectotype designated by Haris (1997). Synonymy with xanthocarpus by Taeger & Blank (1998).
description: Published as part of Prous, Marko, Liston, Andrew, Monckton, Spencer K., Kramp, Katja, Vårdal, Hege, Vikberg, Veli, Heibo, Erik & Mutanen, Marko, 2025, West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae), pp. 1-377 in European Journal of Taxonomy 977 on page 91, DOI: 10.5852/ejt.2025.977.2799, http://zenodo.org/record/15019574
Resolvent Analysis of laminar and turbulent duct flows
Creators: name: Lopez-Doriga, Barbara
name: Dawson, Scott T. M.
name: Vinuesa, Ricardo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: This work applies resolvent analysis to incompressible flow through a rectangular duct, in order to identify dominant linear energy-amplification mechanisms present in such flows. In particular, we formulate the resolvent operator from linearizing the Navier--Stokes equations about a two-dimensional base/mean flow. The laminar base flow only has a nonzero streamwise velocity component, while the turbulent case exhibits a secondary mean flow (Prandtl's secondary flow of the second kind). A singular value decomposition of the resolvent operator allows for the identification of structures corresponding to maximal energy amplification, for specified streamwise wavenumbers and temporal frequencies. Resolvent analysis has been fruitful for analysis of wall-bounded flows with spanwise homogeneity, and here we aim to explore how such methods and findings can extend for a flow in spatial domains of finite spanwise extent. We investigate how linear energy-amplification mechanisms (in particular the response to harmonic forcing) change in magnitude and structure as the aspect ratio (defined as the duct width divided by its height) varies between one (a square duct) and ten. We additionally study the effect that secondary flow has on linear energy-amplification mechanisms, finding that in different regimes it can either enhance or suppress amplification. We further investigate how the secondary flow alters the forcing and response mode shapes leading to maximal linear energy amplification.
Towards analytical calculation of the magnetic flux measured by magnetometers
Creators: name: Yeo, Wan-Jin
name: Yeo, Yao-Rui
name: Taulu, Samu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: This paper reviews magnetic flux signal calculations through pick-up loops using vector spherical harmonic expansion under the quasi-static approximation, and presents a near-analytical method of evaluating the flux through arbitrary parametrizable pick-up loops for each expansion degree. This is done by simplifying the surface flux integral (2D) into a line integral (1D). For the special case of tangential circular sensors, we present a fully analytical recursion calculation. We then compare commonly-used cubature approximations to our (near-)analytical forms, and show that cubature approximations suffer from increasing errors for higher spatial frequency components. This suggests the need for more accurate evaluations for increasingly sensitive sensors that are being developed, and our (near-)analytical forms themselves are a solution to this problem.
Euura lichtwardti
Creators: name: Prous, Marko
name: Liston, Andrew
name: Monckton, Spencer K.
name: Kramp, Katja
name: Vårdal, Hege
name: Vikberg, Veli
name: Heibo, Erik
name: Mutanen, Marko
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Tenthredinidae
Euura
Euura lichtwardti

description: 143 Euura lichtwardti (Konow, 1903)
Figs 143, 380
Nematus apicalis Hartig, 1837: 201. Lectotype designated by Haris (1997). Synonymy by Lindqvist (1955). Primary homonym of Nematus apicalis Stephens, 1835 [Dineura stilata (Klug, 1816)].
Pachynematus lichtwardti Konow, 1903a: 379 (key). Lectotype designated below.
Pachynematus kubesi Konow, 1905a: 154. Lectotype designated below. Synonymy by Lacourt (1999).
Diagnosis
Females are most similar to E. moerens. Metatarsomere 1 and metafemur are usually completely or nearly completely black in E. lichtwardti, but usually extensively pale (basal third of metatarsomere 1) in E. moerens. In males, tergum 8 has a distinct apical projection that distinguishes it clearly from E. moerens (absent or indistinct). The penis valves are also distinct from those in E. moerens and the other Euura. In males, sometimes terga 5–8 laterally and laterodorsally pale.
Type material examined
Lectotype Nematus apicalis
GERMANY [according to the title of Hartig 1837] • ♀; ZSM, GBIF-GISHym3196.
Lectotype Pachynematus lichtwardti, here designated
CZECH REPUBLIC – Sudeten • ♀; Altvater; 50.08° N, 17.21° E; 12 Jun. 1900; B. Lichtwardt leg.; SDEI, GBIF-GISHym3872.
Lectotype Pachynematus kubesi, here designated
CZECH REPUBLIC – Central Bohemia • ♀; Kolin; 50.03° N, 15.20° E; A. Kubes leg.; SDEI, GBIFGISHym3873.
Host plants
Elytrigia repens (L.) Gould. (Kontuniemi 1965), Calamagrostis spp. (Kangas 1985; Macek et al. 2020).
Genetics
COI
Based on 4 specimens, maximum within-species distance is 4.06% and the nearest neighbour, diverging by a minimum of 4.26%, is Euura moerens.
Nuclear
Based on 2 specimens, maximum within-species distance is 0.06% (0.03% based on haplotypes of individual females). The nearest neighbour, diverging by a minimum of 1.47%, is Euura clitellata cluster 5. Based on 3 specimens of NaK (1654 bp), maximum within-species distance is 0.12% (also 0.12% when considering haplotypes of ZMUO.032405).
Distribution and material examined
Palaearctic. Specimens studied are from Czech Republic, Finland, Germany, Norway, Sweden, and the United Kingdom.
description: Published as part of Prous, Marko, Liston, Andrew, Monckton, Spencer K., Kramp, Katja, Vårdal, Hege, Vikberg, Veli, Heibo, Erik & Mutanen, Marko, 2025, West Palaearctic species of Euura Newman, 1837 (Hymenoptera, Tenthredinidae), pp. 1-377 in European Journal of Taxonomy 977 on pages 93-94, DOI: 10.5852/ejt.2025.977.2799, http://zenodo.org/record/15019574
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Creators: name: Siddiqui, Nyle
name: Dave, Rushit
name: Seliya, Naeem
name: Vanamala, Mounika
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Static authentication methods, like passwords, grow increasingly weak with advancements in technology and attack strategies. Continuous authentication has been proposed as a solution, in which users who have gained access to an account are still monitored in order to continuously verify that the user is not an imposter who had access to the user credentials. Mouse dynamics is the behavior of a users mouse movements and is a biometric that has shown great promise for continuous authentication schemes. This article builds upon our previous published work by evaluating our dataset of 40 users using three machine learning and deep learning algorithms. Two evaluation scenarios are considered: binary classifiers are used for user authentication, with the top performer being a 1-dimensional convolutional neural network with a peak average test accuracy of 85.73% across the top 10 users. Multi class classification is also examined using an artificial neural network which reaches an astounding peak accuracy of 92.48% the highest accuracy we have seen for any classifier on this dataset.
Secure Performance Analysis of RIS-aided Wireless Communication Systems
Creators: name: Do, Dinh-Thuan
name: Le, Anh-Tu
name: Mumtaz, Shahid
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Since Internet of Things (IoT) is suggested as the fundamental platform to adapt massive connections and secure transmission, we study physical-layer authentication in the point-to-point wireless systems relying on reconfigurable intelligent surfaces (RIS) technique. Due to lack of direct link from IoT devices (both legal and illegal devices) to the access point, we benefit from RIS by considering two main secure performance metrics. As main goal, we examine the secrecy performance of a RIS-aided wireless communication systems which show secure performance in the presence of an eavesdropping IoT devices. In this circumstance, RIS is placed between the access point and the legitimate devices and is designed to enhance the link security. To specify secure system performance metrics, we firstly present analytical results for the secrecy outage probability. Then, secrecy rate is further examined. Interestingly, we are to control both the average signal-to-noise ratio at the source and the number of metasurface elements of the RIS to achieve improved system performance. We verify derived expressions by matching Monte-Carlo simulation and analytical results.
description: 6 pages, 6 figures, conference
Baumeister_Online_Appendix – Supplemental material for Everyday Thoughts in Time: Experience Sampling Studies of Mental Time Travel
Creators: name: Baumeister, Roy F.
name: Hofmann, Wilhelm
name: Summerville, Amy
name: Reiss, Philip T.
name: Vohs, Kathleen D.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Baumeister_Online_Appendix for Everyday Thoughts in Time: Experience Sampling Studies of Mental Time Travel by Roy F. Baumeister, Wilhelm Hofmann, Amy Summerville, Philip T. Reiss and Kathleen D. Vohs in Personality and Social Psychology Bulletin
On the Effect of Triadic Closure on Network Segregation
Creators: name: Abebe, Rediet
name: Immorlica, Nicole
name: Kleinberg, Jon
name: Lucier, Brendan
name: Shirali, Ali
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: Theoretical Economics (econ.TH)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: The tendency for individuals to form social ties with others who are similar to themselves, known as homophily, is one of the most robust sociological principles. Since this phenomenon can lead to patterns of interactions that segregate people along different demographic dimensions, it can also lead to inequalities in access to information, resources, and opportunities. As we consider potential interventions that might alleviate the effects of segregation, we face the challenge that homophily constitutes a pervasive and organic force that is difficult to push back against. Designing effective interventions can therefore benefit from identifying counterbalancing social processes that might be harnessed to work in opposition to segregation. In this work, we show that triadic closure -- another common phenomenon that posits that individuals with a mutual connection are more likely to be connected to one another -- can be one such process. In doing so, we challenge a long-held belief that triadic closure and homophily work in tandem. By analyzing several fundamental network models using popular integration measures, we demonstrate the desegregating potential of triadic closure. We further empirically investigate this effect on real-world dynamic networks, surfacing observations that mirror our theoretical findings. We leverage these insights to discuss simple interventions that can help reduce segregation in settings that exhibit an interplay between triadic closure and homophily. We conclude with a discussion on qualitative implications for the design of interventions in settings where individuals arrive in an online fashion, and the designer can influence the initial set of connections.
description: To Appear in Proceedings of the 23rd ACM Conference on Economics and Computation (EC'22)
Bejjani_Supplemental_Material_rev – Supplemental material for Disentangling the Roles of Cue Visibility and Knowledge in Adjusting Cognitive Control: A Preregistered Direct Replication of the Farooqui and Manly (2015) Study
Creators: name: Bejjani, Christina
name: Dolgin, Jack
name: Ziwei Zhang
name: Egner, Tobias
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, Bejjani_Supplemental_Material_rev for Disentangling the Roles of Cue Visibility and Knowledge in Adjusting Cognitive Control: A Preregistered Direct Replication of the Farooqui and Manly (2015) Study by Christina Bejjani, Jack Dolgin, Ziwei Zhang and Tobias Egner in Psychological Science
Supplemental Material, final_Military_Technology_Online_Appendix_RR2 - Military Technology and Human Loss in Intrastate Conflict: The Conditional Impact of Arms Imports
Creators: name: Mehrl, Marius
name: Thurner, Paul W.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 220104 Human Rights and Justice Issues
subject: FOS: Philosophy, ethics and religion
subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, final_Military_Technology_Online_Appendix_RR2 for Military Technology and Human Loss in Intrastate Conflict: The Conditional Impact of Arms Imports by Marius Mehrl and Paul W. Thurner in Journal of Conflict Resolution
Elastoresistivity of heavily hole doped 122 iron pnictides superconductors
Creators: name: Hong, Xiaochen
name: Sykora, Steffen
name: Caglieris, Federico
name: Behnami, Mahdi
name: Morozov, Igor
name: Aswartham, Saicharan
name: Grinenko, Vadim
name: Kihou, Kunihiro
name: Lee, Chul-Ho
name: Büchner, Bernd
name: Hess, Christian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Nematicity in the heavily hole-doped iron pnictide superconductors remains controversial. Sizeable nematic fluctuations and even nematic orders far from a magnetic instability were declared in RbFe$_2$As$_2$ and its sister compounds. Here we report a systematic elastoresistance study of series of isovalent- and electron-doped KFe$_2$As$_2$ crystals. We found divergent elastoresistance upon cooling for all the crystals along their [110] direction. The amplitude of elastoresistivity diverges if K is substituted with larger ions or if the system is driven towards a Lifshitz transition. However, we conclude none of them necessarily indicates an independent nematic critical point. Instead, the increased nematicity can be associated with another electronic criticality. In particular, we propose a mechanism how elastoresistivity is enhanced at a Lifshitz transition.
Microscopic effects of proline co-solvent on alanine homopeptide structure, solvation and helix folding dynamics
Creators: name: Kuczera, Krzysztof
name: Szoszkiewicz, Robert
name: Jas, Gouri S.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: Biophysics
Biochemistry
Physical Sciences not elsewhere classified
Medicine
Cell Biology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Computational Biology

description: We present a computational investigation to explore the influence of the protective osmolyte proline as a co-solvent on peptide structure and dynamics for a series of alanine-based peptides, (ALA)n of length n = 5, 8, 15, and 21 residues. Applying multi-microsecond molecular dynamics simulations in a 2 M proline solution, we evaluate peptide structure, solvation and helix folding dynamics and compare to behavior in pure water. Proline addition enhances helix content and significantly slows folding and unfolding times, correlating with a 1.9-fold increase in solvent viscosity. Notably, ALA15 helix content increases from 25% to 49% and relaxation time rises from 110 ns to 540 ns in proline relative to water. Microscopic solvation effects of proline include peptide compaction and dehydration, exclusion of proline from the backbone, formation of weak interactions with the ALA methyl sidechains, and strong interactions with water. The differences of these effects on the helix and coil states drive helix stabilization by proline. Low-dimensional kinetic modeling with Optimal Dimensionality Reduction predicts distinct folding mechanisms: shorter peptides (ALA5-ALA15) exhibit direct helix-coil transitions, and only the longest ALA21 follows a more complex folding pathway involving intermediates. Statistically, enhanced stability of hydrogen bonds in the peptide centers and strong correlation between transitions on neighboring residues are shared between water and proline solutions. However, there is a preference for helix initiation at the N-terminus under proline influence. Our analysis describes the molecular mechanisms of how proline modulates peptide behavior, offering atomistic insights into helix stabilization and folding mechanisms mediated by osmolytes.
Implementing next-generation sequencing as part of newborn screening in state public health laboratories: status and barriers
Creators: name: Haiber, Margaux Anne
Publisher: name: No Publisher Supplied
Year: 2024

description: Newborn screening (NBS) programs are vital public health initiatives, facilitating early diagnosis and treatment for thousands of infants annually in the United States. Originally targeting phenylketonuria (PKU) in the 1960s, NBS has expanded to encompass a broad spectrum of disorders, aided by technological advancements such as tandem mass spectrometry and next-generation sequencing (NGS). NGS, in particular, offers the potential to revolutionize NBS. While NGS presents numerous benefits, its integration into NBS faces various challenges, including technical feasibility, financial barriers, and logistical considerations. This study aimed to assess the barriers, expectations, and plans of state NBS programs regarding NGS integration, providing insights to guide advancements and inform stakeholders. It was found that most states are not currently using NGS technology though there is interest in implementing it in the future. The biggest barriers were lack of appropriate staff to support data analysis, bioinformatics, and genetic counselors as well as the cost of sequencing and volume of samples.
Looking at Creative ML Blindspots with a Sociological Lens
Creators: name: Burgdorf, Katharina
name: Rostamzadeh, Negar
name: Srinivasan, Ramya
name: Lena, Jennifer
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: How can researchers from the creative ML/AI community and sociology of culture engage in fruitful collaboration? How do researchers from both fields think (differently) about creativity and the production of creative work? While the ML community considers creativity as a matter of technical expertise and acumen, social scientists have emphasized the role of embeddedness in cultural production. This perspective aims to bridge both disciplines and proposes a conceptual and methodological toolkit for collaboration. We provide a systematic review of recent research in both fields and offer three perspectives around which to structure interdisciplinary research on cultural production: people, processes, and products. We thereby provide necessary grounding work to support multidisciplinary researchers to navigate conceptual and methodological hurdles in their collaboration. Our research will be of interest to ML researchers and sociologists interested in creativity that aim to conduct innovative research by bridging both fields.
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training
Creators: name: Robles-Kelly, Antonio
name: Nazari, Asef
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this paper, we incorporate the Barzilai-Borwein step size into gradient descent methods used to train deep networks. This allows us to adapt the learning rate using a two-point approximation to the secant equation which quasi-Newton methods are based upon. Moreover, the adaptive learning rate method presented here is quite general in nature and can be applied to widely used gradient descent approaches such as Adagrad and RMSprop. We evaluate our method using standard example network architectures on widely available datasets and compare against alternatives elsewhere in the literature. In our experiments, our adaptive learning rate shows a smoother and faster convergence than that exhibited by the alternatives, with better or comparable performance.
Observable effect of quantized cylindrical gravitational waves
Creators: name: He, Feifan
name: Zhang, Baocheng
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We investigate the response of a model gravitational wave detector consisting of two particles to the quantized cylindrical gravitational waves and obtain a relation between the standard deviation of the distance between two particles and the distance from the source to the detector. It is found that the quantum effect carried by the cylindrical gravitational wave can be observed above Planck scale even though the source is as far as the cosmological horizon. The equation of motion for the change of the distance between two particles is obtained when the cylindrical gravitational waves pass. It is surprising that the dissipative term does not exist up to the first order approximation due to cylindrical symmetry of the gravitational wave.
Subverting machines, fluctuating identities: Re-learning human categorization
Creators: name: Lu, Christina
name: Kay, Jackie
name: McKee, Kevin R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Most machine learning systems that interact with humans construct some notion of a person's "identity," yet the default paradigm in AI research envisions identity with essential attributes that are discrete and static. In stark contrast, strands of thought within critical theory present a conception of identity as malleable and constructed entirely through interaction; a doing rather than a being. In this work, we distill some of these ideas for machine learning practitioners and introduce a theory of identity as autopoiesis, circular processes of formation and function. We argue that the default paradigm of identity used by the field immobilizes existing identity categories and the power differentials that co$\unicode{x2010}$occur, due to the absence of iterative feedback to our models. This includes a critique of emergent AI fairness practices that continue to impose the default paradigm. Finally, we apply our theory to sketch approaches to autopoietic identity through multilevel optimization and relational learning. While these ideas raise many open questions, we imagine the possibilities of machines that are capable of expressing human identity as a relationship perpetually in flux.
description: In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21-24, 2022, Seoul, Republic of Korea. First two authors contributed equally to this work
Importance sampling methods for McKean-Vlasov type stochastic differential equations
Creators: name: Subbiah Pillai, Shyam Mohan
Publisher: name: RWTH Aachen University
Year: 2023
Subjects: subject: 510
subject: McKean-Vlasov equation
subject: Multilevel Monte Carlo
subject: decoupling approach
subject: double Loop Monte Carlo
subject: importance sampling

description: Masterarbeit, RWTH Aachen University, 2022; Aachen : RWTH Aachen University 1 Online-Ressource : Diagramme (2023). doi:10.18154/RWTH-2023-02092 = Masterarbeit, RWTH Aachen University, 2022
description: In this thesis, we are interested in Monte Carlo methods for estimating probabilities of rare events associated with solutions to the McKean-Vlasov stochastic differential equation (MV-SDE), whose drift and diffusion coefficients depend on the law of the solution itself. The MV-SDE is approximated using the stochastic interacting P-particle system, which is a set of P coupled d-dimensional stochastic differential equations. Importance sampling is used to reduce high variance in Monte Carlo estimators of rare event probabilities. Optimal change of measure is methodically derived from variance minimization, yielding a (P x d)-dimensional partial differential control equation which is cumbersome to solve. This problem is circumvented by using a decoupling approach, resulting in a lower dimensional control PDE. The decoupling approach necessitates the use of a double loop Monte Carlo estimator. In this context, we formulate an adaptive double loop Monte Carlo method for estimating rare event probabilities. Significant variance reduction is observed and the computational runtime for estimating rare event probabilities up to a given relative tolerance, TOL, is reduced by multiple orders, when compared to standard Monte Carlo estimators. We also formulate a novel multilevel double loop Monte Carlo (MLDLMC) method combined with importance sampling, to estimate rare events in the MV-SDE context. This reduces the order of optimal work complexity from O(TOL^{-4}) to O(TOL^{-3}). Our numerical experiments are carried out on the Kuramoto model from statistical physics, which models a system of coupled oscillators.
description: Published by RWTH Aachen University, Aachen
On Forces And Things. Metaphors Of Emotions In Buddhism
Creators: name: Kowalewski, Hubert
Publisher: name: Zenodo
Year: 2017
Subjects: subject: Buddhism
subject: Linguistics
subject: FOS: Languages and literature
subject: Cognitive Linguistics
subject: Conceptual Metaphor

description: Conference presentation given at "Language, Culture and Mind VI" on 24-26 June 2014 in Lublin.
CIGMO: Categorical invariant representations in a deep generative framework
Creators: name: Hosoya, Haruo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Data of general object images have two most common structures: (1) each object of a given shape can be rendered in multiple different views, and (2) shapes of objects can be categorized in such a way that the diversity of shapes is much larger across categories than within a category. Existing deep generative models can typically capture either structure, but not both. In this work, we introduce a novel deep generative model, called CIGMO, that can learn to represent category, shape, and view factors from image data. The model is comprised of multiple modules of shape representations that are each specialized to a particular category and disentangled from view representation, and can be learned using a group-based weakly supervised learning method. By empirical investigation, we show that our model can effectively discover categories of object shapes despite large view variation and quantitatively supersede various previous methods including the state-of-the-art invariant clustering algorithm. Further, we show that our approach using category-specialization can enhance the learned shape representation to better perform down-stream tasks such as one-shot object identification as well as shape-view disentanglement.
Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem
Creators: name: Fukunaga, Takumi
name: Kasai, Hiroyuki
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The optimal transport (OT) problem has been used widely for machine learning. It is necessary for computation of an OT problem to solve linear programming with tight mass-conservation constraints. These constraints prevent its application to large-scale problems. To address this issue, loosening such constraints enables us to propose the relaxed-OT method using a faster algorithm. This approach has demonstrated its effectiveness for applications. However, it remains slow. As a superior alternative, we propose a fast block-coordinate Frank-Wolfe (BCFW) algorithm for a convex semi-relaxed OT. Specifically, we prove their upper bounds of the worst convergence iterations, and equivalence between the linearization duality gap and the Lagrangian duality gap. Additionally, we develop two fast variants of the proposed BCFW. Numerical experiments have demonstrated that our proposed algorithms are effective for color transfer and surpass state-of-the-art algorithms. This report presents a short version of arXiv:2103.05857.
description: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2022). arXiv admin note: substantial text overlap with arXiv:2103.05857
An Overview of PyHEADTAIL
Creators: name: Oeftiger, Adrian
Publisher: name: CERN Document Server
Year: 2019
Subjects: Collective beam dynamics
Multi-particle tracking code
Coherent stability
Wakefield
Space Charge

description: The macro-particle tracking code PyHEADTAIL simulates collective beam dynamics. The present paper documents its features and recent evolution.