bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI and Quality of Service Driven Attack Detection, Mitigation and Energy Optimization: A Review of Some EU Project Results
Authors: Çag̃layan Mehmet Ufuk 
Published: June 2022

AbstractThis article summarizes briefly the contributions presented in this EuroCyberSecurity Workshop 2021 which is organized as part of the series of International Symposia on Computer and Information Sciences (ISCIS), with the support of the European Commission funded IoTAC Project, that was held on November and in NIce, France, and sponsored by the Institute of Teoretical and Applied Informatics of the Polish Academy of Sciences. It also summarizes some of the research contributions of several EU Projects including NEMESYS, GHOST, KONFIDO, SDK4ED and IoTAC, primarily with a cybersecurity and Machine Learning orientation. Thus subjects covered include the cybersecurity of Mobile Networks and of the Internet of Things (IoT), the design of IoT Gateways and their performance, the security of networked health systems that provide health services to individuals across the EU Member states, as well as the issues of energy consumption by ICT which are becoming increasingly important, including in the cybersecurity perspective, as we focus increasingly on climate change and the needed transition towards highly reduced emissions. Many of the techniques and results discussed in this article are based either on Machine Learning (ML) methods, or on methods for the performance modeling and optimization of networked and distributed computer systems.
An Empirical Evaluation of the Usefulness of Word Embedding Techniques in Deep Learning-Based Vulnerability Prediction
Authors: Kalouptsoglou Ilias , Siavvas Miltiadis , Kehagias Dionysios , Chatzigeorgiou Alexandros , Ampatzoglou Apostolos 
Published: June 2022

AbstractSoftware security is a critical consideration for software development companies that want to provide their customers with high-quality and dependable software. The automated detection of software vulnerabilities is a critical aspect in software security. Vulnerability prediction is a mechanism that enables the detection and mitigation of software vulnerabilities early enough in the development cycle. Recently the scientific community has dedicated a lot of effort on the design of Deep learning models based on text mining techniques. Initially, Bag-of-Words was the most promising method but recently more complex models have been proposed focusing on the sequences of instructions in the source code. Recent research endeavors have started utilizing word embedding vectors, which are widely used in text classification tasks like semantic analysis, for representing the words (i.e., code instructions) in vector format. These vectors could be trained either jointly with the other layers of the neural network, or they can be pre-trained using popular algorithms like word2vec and fast-text. In this paper, we empirically examine whether the utilization of word embedding vectors that are pre-trained separately from the vulnerability predictor could lead to more accurate vulnerability prediction models. For the purposes of the present study, a popular vulnerability dataset maintained by NIST was utilized. The results of the analysis suggest that pre-training the embedding vectors separately from the neural network leads to better vulnerability predictors with respect to their effectiveness and performance.
Optimizing Energy Usage for an Electric Drone
Authors: Czachórski Tadeusz , Gelenbe Erol , Kuaban Godlove Suila , Marek Dariusz 
Published: June 2022

AbstractUnmanned Aerial Vehicles (UAVs) are rapidly gaining popularity in a wide variety of applications, e.g., agriculture, health care, environmental management, supply chains, law enforcement, surveillance, and photography. Dones are often powered by batteries, making energy a critical resource that must be optimised during the mission of the drone. The duration of a done’s mission depends on the amount of energy required to perform some manoeuvering actions (takeoff, level flight, hovering, and landing), the energy required to power the ICT modules in the drone, the drone’s speed, payload, and the wind. In this paper, we present a model that minimizes the energy consumption of a low power drone and maximizes the time required to completely drain the drone’s battery and ensure the safe landing of the drone.
T-RAID: TEE-based Remote Attestation for IoT Devices
Authors: Nagy Roland , Bak Márton , Papp Dorottya , Buttyán Levente 
Published: June 2022

AbstractThe Internet of Things (IoT) consists of network-connected embedded devices that enable a multitude of new applications, but also create new risks. In particular, embedded IoT devices can be infected by malware. Operators of IoT systems not only need malware detection tools, but also scalable methods to reliably and remotely verify malware freedom of their IoT devices. In this paper, we address this problem by proposing T-RAID, a remote attestation scheme for IoT devices that takes advantage of the security guarantees provided by a Trusted Execution Environment running on each device.
Energy, QoS and Security Aware Edge Services
Authors: Gelenbe Erol , Nowak Mateusz P. , Frohlich Piotr , Fiolka Jerzy , Checinski Jacek 
Published: June 2022

AbstractWith the development of communication technologies and the increasing bandwidth of optical fibres and transmission speeds in current 5G and future 6G wireless networks, there is a growing demand for solutions organising traffic in such networks, taking into account both end-to-end transmissions and the possibility of data processing by edge services. The most pressing problems of today’s computer networks are not only bandwidth and transmission delays, but also security and energy consumption, which is becoming increasingly important in today’s climate. This paper presents a solution based on neural networks that organises network traffic taking into account the above criteria - quality of service (QoS), energy consumption and security.
Trajectories of housing affordability and mental health problems: a population-based cohort study
Authors: Dotsikas Kate , Osborn David , Walters Kate , Dykxhoorn Jennifer 
Published: June 2022

Abstract
Purpose
With housing costs increasing faster than incomes and a limited supply of social housing options, many households face unaffordable housing. Housing affordability problems may negatively impact mental health; however, longitudinal evidence is limited. This study investigates the association between trajectories of housing affordability problems and mental health.

Methods
We used data from 30,025 households from Understanding Society, a longitudinal household survey from the UK. Participants spending 30% or more of household income on housing were categorised as facing housing affordability problems. We estimated group-based trajectories of housing affordability problems from 9 waves of data (2009–2019). We used linear regression to calculate the association between the trajectories and mental health problems, as measured by General Health Questionnaire (GHQ) score in Wave 10 (2018–2020).

Results
We found six distinct trajectories of housing affordability problems. Those in the ‘stable low’ group had a consistently low probability of affordability problems, whilst those in ‘high falling’ group had a sustained high probability in the earlier waves of the study, subsequently decreasing over time. The adjusted analysis showed that trajectory group membership over the first nine waves of data predicted GHQ score in 2018–2020 (Wave 10). Compared to the ‘stable low’ group, those in the ‘high falling’ group had a GHQ score that was 1.06 (95% CI 0.53–1.58) points higher.

Conclusion
This study provides evidence that sustained exposure to housing affordability problems is associated with long-term worse mental health, even in the absence of more recent problems.
No kinematical difference between ultra-congruent and medial-congruent total knee arthroplasty when implanted with mechanical alignment: an in vivo dynamic RSA study
Authors: Alesi Domenico , Di Paolo Stefano , Bragonzoni Laura , Pizza Nicola , Zaffagnini Stefano , Zinno Raffaele , Marcheggiani Muccioli Giulio Maria 
Published: June 2022

Abstract
Purpose
To explore in vivo kinematical behavior of the same total knee arthroplasty (TKA) cruciate-retaining (CR) femoral design with either medial-congruent (MC) or ultra-congruent (UC) inlay using model-based dynamic radiostereometric analysis (RSA). The hypothesis was that there would be comparable kinematics between the two groups.

Methods
A cohort of 16 randomly selected patients (8 MC Persona Zimmer, 8 UC Persona Zimmer) was evaluated through dynamic radiostereometric analysis (RSA) at a minimum of 9 months after TKA, during the execution of a sit-to-stand. The antero-posterior (AP) translation of the femoral component and the AP translation of the low point of medial and lateral femoral compartments were compared through Student’s t test (p < 0.05).

Results
Both groups showed a medial pivot behavior, with a significantly greater anterior translation of the Low Point of the lateral compartment with respect to the medial compartment (MC medial range: 2.4 ± 2.4 mm; MC lateral range: 7.7 ± 3.0 mm; p < 0.001 – UC medial range: 3.3 ± 3.3 mm; UC lateral range: 8.0 ± 3.2 mm; p < 0.001). A statistically significant greater degree of flexion was clinically recorded at follow-up visit in the MC group respect to the UC group (126° vs 101°—p = 0.003).

Conclusion
The present study did not show difference in the medial pivot behavior between ultra-congruent and medial-congruent total knee arthroplasty when implanted with mechanical alignment; however, the MC group demonstrated a greater degree of flexion. The MC design examined is a valid alternative to the UC design, allowing to achieve a screw-home movement restoration combined with a high flexion.

Level of evidence
IV.
The illusion of data-driven decision making – The mediating effect of digital orientation and controllers’ added value in explaining organizational implications of advanced analytics
Authors: Szukits Ágnes 
Published: June 2022

AbstractThis study extends existing research on the implications of advanced analytics. Drawing on organizational information processing theory (OIPT), hypotheses are developed for the relationships between information technology orientation, the use of advanced analytical techniques, the ability of information to be utilized in a decision context, and data-driven decision-making. Using survey data from 176 medium-sized and large firms, a mediator model was proposed and tested with structural equation modelling. The data show that the significant direct effect of technology orientation on analytical practice is greatly enhanced by the digital orientation of the firms. As suggested by OIPT, controllers are argued to act as integrators in the sense-making of data-centric mechanisms. The results of the model indicate that the added value of controllers mediates the effect of advanced analytics on the ability of analytical information to be utilized in a decision context. Importantly, the data did not corroborate any relationship between the extent to which available information is able to support decision making and reliance on this information in the decision-making process. It suggests that the strengthening of data-driven decision-making does not overshadow intuition, as assumed based on the expected opposite movement of the two variables. This finding shows the importance of a more detailed and theoretically grounded investigation on how advances in analytical capabilities are (not) changing managerial decision-making processes.
Less Than Subtotal Parathyroidectomy for Multiple Endocrine Neoplasia Type 1 Primary Hyperparathyroidism: A Systematic Review and Meta‐Analysis
Authors: Bouriez Damien , Gronnier Caroline , Haissaguerre Magalie , Tabarin Antoine , Najah Haythem 
Published: June 2022

AbstractBackgroundMultiple endocrine neoplasia type 1 (MEN1)‐associated primary hyperparathyroidism (pHPT) is classically associated with an asymmetric and asynchronous parathyroid involvement. Subtotal parathyroidectomy (STP), which is currently the recommended surgical treatment, carries a high risk of permanent hypoparathyroidism. The results of less than subtotal parathyroidectomy (LSTP) are conflicting, and its place in this setting is still a matter of debate. The aim of this study was to identify the place of LSTP in the surgical management of patients with MEN‐associated pHPT.MethodsA systematic literature review was conducted in accordance with PRISMA and MOOSE guidelines, for studies comparing STP and LSTP for MEN1‐associated pHPT. The results of the two techniques, regarding permanent hypoparathyroidism, persistent hyperparathyroidism and recurrent hyperparathyroidism were computed using pairwise random‐effect meta‐analysis.ResultsTwenty‐five studies comparing STP and LSTP qualified for inclusion in the quantitative synthesis. In total, 947 patients with MEN1‐associated pHPT were allocated to STP (n = 569) or LSTP (n = 378). LSTP reduces the risk of permanent hypoparathyroidism [odds ratio (OR) 0.29, confidence interval (CI) 95% 0.17–0.49)], but exposes to higher rates of persistent hyperparathyroidism [OR 4.60, 95% CI 2.66–7.97]. Rates of recurrent hyperparathyroidism were not significantly different between the two groups [OR 1.26, CI 95% 0.83–1.91].ConclusionsLSTP should not be abandoned and should be considered as a suitable surgical option for selected patients with MEN1‐associated pHPT. The increased risk of persistent hyperparathyroidism could improve with the emergence of more efficient preoperative localization imaging techniques and a more adequate patients selection.
Role of steroids in conservative treatment of parapharyngeal and retropharyngeal abscess in children
Authors: Villanueva-Fernández Eva , Casanueva-Muruáis R. , Vivanco-Allende A. , Llorente J. L. , Coca-Pelaz A. 
Published: June 2022

Abstract
Purpose
To characterize the clinical features and outcomes of pediatric patients with retropharyngeal (RPA) or parapharyngeal abscesses (PPA) managed only with medical treatment and showing the importance of early symptoms and imaging studies in the diagnosis of deep neck space infections (DNIs) in children.

Methods
A retrospective analysis of all patients diagnosed with RPA and PPA between 2007 and 2017 was performed in Hospital Universitario Central de Asturias.

Results
30 children were identified, with 11 RPA and 19 PPA. 23 children (76.7%) were under 5 years old, and all were treated with intravenous amoxicillin/clavulanic acid and corticosteroids. Torticollis and fever were present in all patients. The mean length of hospital stay was 7.5 days. There were no complications associated.

Conclusion
DNIs can be treated in a conservative way, reserving the surgical drainage for cases with a complication associated (airway compromise, lack of response to antibiotic therapy, immunocompromised patients). Treatment with intravenous antibiotics and corticosteroids is a safe option, reducing the duration of symptoms and the length of hospital stay.
Surgical results and quality of life after subtotal petrosectomy
Authors: Geerse Simon , de Haan Rob J. , Ebbens Fenna A. , de Wolf Maarten J. F. , van Spronsen Erik 
Published: June 2022

Abstract
Purpose
Few data are available regarding subjective complaints and quality of life (QoL) after subtotal petrosectomy (STP). The purpose of our study was to assess long-term surgical results after STP, and to evaluate disease-specific, patient-reported outcomes including QoL and subjective hearing.

Methods
A retrospective cohort study, including a postal survey, was performed in the Amsterdam University Medical Centers (Amsterdam UMC) location Academic Medical Centre (AMC). All patients who underwent a STP between 1990 and 2018 were included. Patient characteristics, indication for surgery, adverse events, disease recidivism, and patient-reported health outcomes were evaluated.

Results
181 patients (183 ears) underwent a STP for several indications. The main indication was chronic otitis media (COM) with or without cholesteatoma (69%). In the total cohort, 8 residual cholesteatoma (5%) and 6 inclusion cholesteatoma 4% were detected. Postoperative (functional) health outcomes showed a significant negative impact on QoL in the STP cohort compared to normative data. Compared to patients without ear problems, the postoperative STP patients scored worse on almost all domains of the Chronic Ear Survey (CES) (p < 0.001). SF-36 scores of postoperative STP data showed negative Z-scores in almost all subscales, indicating lower levels of QoL compared to Dutch reference values. Most subscales of the Amsterdam Inventory for Auditory Disability and Handicap (AIADH) demonstrate a large-effect size in disadvantage of the STP cohort when compared to Dutch reference values.

Conclusion
STP is a suitable technique to tackle severe ear disease. Despite its favourable surgical results, STP has a negative impact on several domains of patient’s QoL.
Pseudomonas phaseolicola preferentially modulates genes encoding leucine-rich repeat and malectin domains in the bean landrace G2333
Authors: Oblessuc Paula Rodrigues , Bridges David F. , Melotto Maeli 
Published: June 2022

AbstractMain conclusionCandidate resistance genes encoding malectin-like and LRR domains mapped to halo blight resistance loci throughout the common bean genome are co-expressed to fight a range ofPphraces.AbstractCommon bean (Phaseolus vulgarisL.) is an important crop both as a source of protein and other nutrients for human nutrition and as a nitrogen fixer that benefits sustainable agriculture. This crop is affected by halo blight disease, caused by the bacteriumPseudomonas syringaepv.phaseolicola(Pph), which can lead to 45% yield losses. Common bean resistance toPphis conferred by six loci (Pse-1toPse-6) and minor-effect quantitative trait loci (QTLs); however, information is lacking on the molecular mechanisms implicated in this resistance. Here, we describe an in-depth RNA-sequencing (RNA-seq) analysis of the tolerant G2333 bean line in response to thePphstrain NPS3121. We identified 275 upregulated and 357 downregulated common bean genes in response toPphinfection. These differentially expressed genes were mapped to all 11 chromosomes ofP. vulgaris. The upregulated genes were primarily components of plant immune responses and negative regulation of photosynthesis, with enrichment for leucine-rich repeat (LRRs) and/or malectin-like carbohydrate-binding domains. Interestingly, LRRs and malectin genes mapped to the same location as previously identifiedPphresistance loci or QTLs. For instance, the major lociPse-6/HB4.2 involved in broad-resistance to manyPphraces co-located with induced LRR-encoding genes on Pv04. These findings indicate a coordinated modulation of genes involved in pathogen perception and signal transduction. In addition, the results further support these LRR/malectin loci as resistance genes in response to halo blight. Thus, these genes are potential targets for future genetic manipulation, enabling the introduction of resistance toPphinto elite cultivars of common bean.
The hyaluronan-related genes HAS2, HYAL1-4, PH20 and HYALP1 are associated with prognosis, cell viability and spheroid formation capacity in ovarian cancer
Authors: Riecks Jette , Parnigoni Arianna , Győrffy Balázs , Kiesel Ludwig , Passi Alberto , Vigetti Davide , Götte Martin 
Published: June 2022

Abstract
Purpose
Hyaluronan modulates tumour progression, including cell adhesion, cohesion, proliferation and invasion, and the cancer stem cell phenotype. In ovarian cancer, high levels of stromal hyaluronan are associated with poor prognosis. In this work, hyaluronan synthases (HAS1-3) and hyaluronidases (HYAL1-4, PH-20, HYALP1) were examined with regard to different levels of gene expression and its influence on ovarian cancer patients’ survival. The impact of a siRNA depletion of HAS2 was investigated in vitro.

Methods
Using the Kaplan–Meier Plotter tool, we investigated the influence of hyaluronic synthases and hyaluronidases on the survival of a collective of 1435 ovarian cancer patients. Differences in gene expression between normal (n = 46) and cancerous (n = 744) ovarian tissue were examined using the TNMplot database. Following an evaluation of hyaluronan-related gene expression in the ATCC ovarian cancer panel, we studied SKOV3 and SW 626 ovarian cancer cells subjected to HAS2 siRNA or control siRNA treatment in terms of HAS1-3, HYAL2 and HYAL3 mRNA expression. We investigated the ability to form spheroids using the Hanging Drop method and the response to chemotherapy at different concentrations using the MTT Assay. By STRING analysis, interactions within the enzymes of the hyaluronic acid system and with binding partners were visualized.

Results
HAS1, HYAL1 and HYAL4 mRNA expression is significantly upregulated, whereas HAS2, HYAL2 and HYAL3 mRNA expression is significantly downregulated in ovarian cancer tissue compared to controls. HAS2 improves cell viability, the capability to form tumour spheroids and has a negative prognostic value regarding overall survival. Lower HAS2 expression and high expression of HYAL2 and HYAL3 favours the survival of ovarian cancer patients. HAS2 knockdown cells and control cells showed a moderate response to combinatorial in vitro chemotherapy with taxol and cisplatin.

Conclusion
In conclusion, our study shows that the hyaluronic acid system has a relevant influence on the survival of ovarian cancer patients and could therefore be considered as a possible prognostic factor.
Fast and Simple Compact Hashing via Bucketing
Authors: Köppl Dominik , Puglisi Simon J. , Raman Rajeev 
Published: June 2022

AbstractCompact hash tables store a set S of n key-value pairs, where the keys are from the universe $$U = \{0,\ldots ,u-1\}$$

U
=
{
0
,
…
,
u
-
1
}

, and the values are $$v$$
v
-bit integers, in close to $${{\mathcal {B}}(u, n)} + nv$$

B
(
u
,
n
)

+
n
v

bits of space, where $${{\mathcal {B}}(u, n)} = \log _2 {{u} \atopwithdelims (){n}}$$

B
(
u
,
n
)

=

log
2

u
n

is the information-theoretic lower bound for representing the set of keys in S, and support operations insert, delete and lookup on S. Compact hash tables have received significant attention in recent years, and approaches dating back to Cleary [IEEE T. Comput, 1984], as well as more recent ones have been implemented and used in a number of applications. However, the wins on space usage of these approaches are outweighed by their slowness relative to conventional hash tables. In this paper, we demonstrate that compact hash tables based upon a simple idea of bucketing practically outperform existing compact hash table implementations in terms of memory usage and construction time, and existing fast hash table implementations in terms of memory usage (and sometimes also in terms of construction time), while having competitive query times. A related notion is that of a compact hash ID map, which stores a set $${\hat{S}}$$

S
^

of n keys from U, and implicitly associates each key in $${\hat{S}}$$

S
^

with a unique value (its ID), chosen by the data structure itself, which is an integer of magnitude O(n), and supports inserts and lookups on $${\hat{S}}$$

S
^

, while using space close to $${{\mathcal {B}}(u,n)}$$

B
(
u
,
n
)

bits. One of our approaches is suitable for use as a compact hash ID map.