bluuebunny/crossref_metadata_2025 huggingface dataset:
Lower Respiratory Tract Infections in Pediatric Patients with Severe Neurological Impairments: Clinical Observations and Perspectives in a Palliative Care Unit
Authors: Mauritz Maximilian David , Hasan Carola , Schmidt Pia , Simon Arne , Knuf Markus , Zernikow Boris
Published: June 2022

Pediatric palliative care (PPC) patients with a severe neurologic impairment (SNI) suffer considerable morbidity and increased mortality from lower respiratory tract infections (LRTIs). The indication and choice of antibiotic therapy for bacterial LRTIs are often challenging given the lack of evidence-based treatment recommendations for this vulnerable patient population. We conducted an observational study before the SARS-CoV-2 pandemic in an eight-bed pediatric palliative care inpatient unit. During two years of surveillance, we diagnosed and treated 33 cases of a bacterial LRTI in patients with an SNI; 5 patients were hospitalized with an LRTI more than once. Two patients died from complications due to LRTIs during hospitalization. Three patients (15%) were colonized with multidrug-resistant organisms. An initial antibiotic treatment failed in one-third of the cases; a successful therapy of the LRTI was achieved with broad-spectrum and extended-spectrum penicillins (n = 13; in combination with β-lactamase inhibitors for n = 5 cases), cephalosporins (n = 13: n = 4 second-generation and n = 9 third-generation cephalosporins; in combination with other substances for n = 5 cases), ciprofloxacin (n = 3), and meropenem plus vancomycin (n = 2) or meropenem (n = 1). A respiratory specimen was obtained in 66.7% of cases with P. aeruginosa, E. coli, and K. pneumoniae accounting for the majority of the detected species. In most cases, there was no definite confirmation that the LRTI was caused by the species detected. The diagnostics and treatment of bacterial LRTIs in PPC patients with an SNI are challenging. The lack of controlled studies and the heterogeneity of this population often necessitate an individual approach. This lack of controlled studies may partly be compensated by a set of diagnostic and antibiotic stewardship criteria.
2021 Annual Meeting of the Swiss Society for Sleep Research, Sleep Medicine, and Chronobiology (SSSSC)
Authors: Hatzinger Martin
Published: June 2022

The 2021 meeting in Solothurn provided evidence-based education to advance the science and clinical practice of sleep medicine and sleep physiology, disseminates cutting-edge sleep and circadian research, promotes the translation of basic science into clinical practice, and fosters the future of the field by allowing young clinicians and researchers to present their findings in talks and on posters [...]
Follow-up of curatively treated cancer in primary care: a qualitative study of the views of Dutch GPs
Authors: Liemburg Geertje B , Korevaar Joke C , van Zomeren Wouter TG , Berendsen Annette J , Brandenbarg Daan
Published: June 2022

Background

Follow-up for cancer typically occurs in secondary care, and improved survival has increased demands on these services. Other care models may alleviate this burden, such as moving (parts of) follow-up care for curatively treated patients from secondary to primary care (care substitution).

Aim

To explore the opinions of GPs regarding the potential benefits, barriers, and requirements of care substitution for breast and colorectal cancer.

Design and setting

A qualitative study of the opinions of purposively sampled GPs in Dutch primary care.

Method

Focus group sessions and individual semi-structured interviews were recorded and transcribed verbatim. Data were analysed by two independent researchers using thematic analysis.

Results

Two focus groups (n = 14) were conducted followed by nine individual interviews. Three main themes were identified: perceived benefits, perceived barriers, and perceived requirements. Perceived benefits included better accessibility and continuity of care, and care closer to patients’ homes. Uncertainty about cancer-related competences and practical objections were perceived as barriers. Requirements included close specialist collaboration, support from patients for this change, and stepwise implementation to avoid loss of existing care quality.

Conclusion

Most GPs reported that they were not in favour of complete care substitution, but that primary care could have greater formal involvement in oncological follow-up if there is close collaboration with secondary care (that is, shared care), support from patients, sufficient resource allocation, stepwise implementation with clear guidelines, and monitoring of quality. Clear and broadly supported protocols need to be developed and tested before implementing follow-up in primary care.
Densely Convolutional Networks For Breast Cancer Classification With Multi-modal Image Fusion
Authors: Hamdy Eman , Badawy Osama , zaghloul Mohamed
Published: June 2022

Breast cancer is the main health burden worldwide. Cancer is located in the breast, starts when the cell grows under control and begins as in-situ carcinoma and when spread into other parts known as invasive carcinoma. Breast cancer mass can early be found by image modality when discovering mass early can easily diagnose and treated. Multimodalities used for the classification of breast cancer Such as mammography, ultrasound, and Magnetic resonance imaging. Two types of fusion are used earlier fusion and later fusion. Early fusion it’s a simple relation between modalities while later fusion gives more interest to fusion strategy to learn the complex relationship between various modalities as a result, can get highly accurate results when using the later fusion. When combining two image modalities (mammography, ultrasound) and using an excel sheet containing the age, view, side, and status attribute associated with each mammographic image using DenseNet 201 with Layer level fusion strategy as later fusion by making connections between the various paths and same path by using Concatenated layer. Fusing at the feature level achieves the best performance in terms of several evaluation metrics (accuracy, recall, precision area under the curve, and F1 score) and performance.
Stacknet Based Decision Fusion Classifier for Network Intrusion Detection
Authors: Kofi Nti Isaac , Narko-Boateng Owusu , Adekoya Adebayo , R Arjun
Published: June 2022

Network intrusion is a subject of great concern to a variety of stakeholders. Decision fusion (ensemble) models that combine several base learners have been widely used to enhance detection rate of unauthorised network intrusion. However, the design of such an optimal decision fusion classifier is a challenging and open problem. The Matthews Correlation Coefficient (MCC) is an effective measure for detecting associations between variables in many fields; however, very few studies have applied it in selecting weak learners to the best of the authors’ knowledge. In this paper, we propose a decision fusion model with correlation-based MCC weak learner selection technique to augment the classification performance of the decision fusion model under a StackNet strategy. Specifically, the proposed model sought to improve the association between the prediction accuracy and diversity of base classifiers. We compare our proposed model with five other ensemble models, a deep neural model and two stand-alone state-of-the-art classifiers commonly used in network intrusion detection based on accuracy, AUC, recall, precision, F1-score and Kappa evaluation metrics. The experimental results using benchmark dataset KDDcup99 from Kaggle shows that the proposed model has a identified unauthorised network traffic at 99.8% accuracy, Extreme Gradient Boosting (Xgboost) (97.61%), Catboost (97.49%), Light Gradient Boosting Machine (LightGBM) (98.3%), Multilayer Perceptron (MLP) (97.7%), Random Forest (RF) (97.97%), Extra Trees Classifier (ET) (95.82%), Different decision (DT) (96.95%) and , K-Nearest Neighbor (KNN) (95.56), indicating that it is a more efficient and better intrusion detection system.
THE ROLE OF NARROW BAND IMAGING- MAGNIFYING ENDOSCOPY (NBI-ME) OR DETECTING GASTRIC INTESTINAL METAPLASIA IN PATIENT WITH CHRONIC GASTRITIS
Authors: Nguyen Thi Nga , Tran Van Huy
Published: June 2022

Background: Atrophy gastritis and intestinal metaplasia are early phenotypic markers in gastric carcinogenesis. White light endoscopy does not allow direct biopsy of intestinal metaplasia due to a lack of contrast of the mucosa. Narrow-band imaging system with magnifying endoscopy (NBI-ME) in the gastric mucosa suggested that the appearance of a light blue crest (LBC) on the epithelial surface may be a distinctive endoscopic finding associated with the presence of intestinal metaplasia. Objective: The aim of the present study was to clarify the value of NBI-ME for diagnosing gastric intestinal metaplasia. Methods: The research was designed as a cross-sectional descriptive study, studied on 52 patients with chronic gastritis in Hospital of Hue University of Medicine and Pharmacy. Results: Gastric intestinal metaplasia was found in 26.9% patients with WLE. LBCs specific for IM were found in 51.9% patients with NBI-ME. The sensitivity, specificity and accuracy of narrow-band imaging were 88%, 81.5%, and 84.6%, respectively. Conclusion: In narrow-band imaging with magnifying endoscopy (NBI-ME), observation of a light blue crest on the epithelial surface in the gastric mucosa is a highly accurate sign of the presence of histological intestinal metaplasia.
Key words: gastric intestinal metaplasia, NBI-ME
CLINICAL, RADIOGRAPHIC CHARACTERISTICS AND RESULTS OF SURGICAL TREATMENT OF MAXILLOFACIAL FRACTURES
Authors: Tran Tan Tai , Dang Van Tri , Hoang Le Trong Chau
Published: June 2022

Background: Maxillofacial fractures are often diverse and complex. They are not only life-threatening but also leave serious sequelae in terms of both function and aesthetics if not treated early and properly. The objective of this study was to evaluate the clinical, X ray features and results of surgical treatment of maxillofacial fractures. Subjects and Methods: Clinical and radiographic data were collected from 45 patients (average age 31.40 ± 13.10) diagnosed with maxillofacial fractures. All of patients were operated, treated with internal fixation with miniplates. This study assessed the general treatment results of: anatomy, aesthetics and function at the time of discharge, 3 months, 6 months postoperatively. Results: The percentage of popular clinical symptoms were: facial swelling, deformed face: 97.8%, restricted mouth opening: 91.1%, bleeding, nasal congestion: 88.9%, tenderness on palpation at fracture site: 86.7%, break in the continuity of bone: 75.6%, occlusal derangement: 62.2%, maxillofacial soft tissue injuries 60%. X ray: inferior orbital rim fracture accounts for high proportion, which the right side and the left side constitue 66.7% and 62.2% respectively, vertical-middle fracture of maxillary bone accounts for lowest rate: right side 4.4% and left side 2.2%. The result after treatment 6 months are: good: 86.7%, fairly good: 13.3%, bad: 0%. Conclusions: The method of internal fixation with miniplates to treat maxillofacial fractures helps to fully restore the functional and aesthetic needs of the patient.

Key words: Maxillofacial fractures; Surgical treatment; Internal fixation with miniplates.
ASSOCIATION BETWEEN THE VISCERA SYNDROMES ACCORDING TO TRADITIONAL MEDICINE AND THE CLINICAL SYMPTOMS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
Authors: Doan Thi Nhat Le , Nguyen Thi Huong Lam , Doan Van Minh
Published: June 2022

Background: Diabetes mellitus (DM) has become a common disease worldwide. The treatment with Traditional medicine (TM) depends on the clinical form as well as the specific viscera syndrome. According to the strategy of developing TM from 2014 to 2023 of the World Health Organization, the safe and effective use of TM in the national health system needs to be focused and strengthened. Objectives: To investigate the viscera syndromes according to TM and the association with the clinical symptoms in patients with type 2 DM. Materials and Method: A cross-sectional study was carried out in 97 patients with type 2 DM at Hue University of Medicine and Pharmacy Hospital and Hue Central Hospital from 07/2019 to 03/2020. Results: Mean of age was 66.1 ± 11.3. The proportion of patients with the viscera syndromes was 91.8%, in which 30.9% Kidney-Yin deficiency syndrome, 25.8% Spleen-Qi deficiency syndrome, 17.5% Kiney-Yin and Yang deficiency syndrome, 17.5% Liver-Yin deficiency syndrome, 16.5% Liver-Blood deficiency syndrome, 13.4% Lung-Dryness syndrome, 4.1% Stomach-Heat syndrome and 2.1% Stomach-Yin deficiency syndrome. There was association between TM viscera syndromes and the clinical symptoms of type 2 DM according to Western medicine (p < 0.05). Conclusion: The syndromes of high rate are Kidney-Yin syndrome and Spleen-Qi deficiency syndrome. The syndromes of low rate are Stomach-Heat syndrome and Stomach-Yin deficiency syndrome. The viscera syndromes are significantly associated with the Western medicine symptoms.
Key words: Frequency, type 2 diabetes mellitus, viscera syndrome, traditional medicine.
ELECTROLYTE DISORDERS IN ACUTE PURULENT MENINGITIS AND ENINGOENCEPHALITIS IN CHILDREN
Authors: Nguyen Duy Nam Anh
Published: June 2022

Objective: To investigate the disorders of electrolyte in acute purulent meningitis and meningoencephalitis in children. Methods: A cross-sectional study with convenient sample of 37 pediatric patients with acute purulent meningitis and meningoencephalitis treated in the Pediatric Center of Hue Central Hospital. Results: The average blood sodium concentration is 130 ± 6.1 mmol/l, the lowest concentration is 115 mmol/l, the largest one is 143 mmol/l. Hyponatremia accounted for a high rate of 67.6%, of which the purulent meningitis is 60.0% and the meningoencephalitis is 72.7%. The mild and moderate level of hyponatremia is 76.0%, the severity level is 24.0%. There is no relationship between group disease, signs and symptoms; and outcome with hyponatremia. Other electrolyte disorders are less: slightly hypokalemia in 16.2% and mild hypochloremia in 13.5% of cases. Conclusion: Hyponatremia is a common electrolyte disorder with high ratio and all levels, should be paid attention in monitoring and treating the children with acute purulent meningitis and meningoencephalitis.
Key words: hyponatremia, acute CNS infection, purulent meningitis, meningoencephalitis, children.
UNDERSTANDING THE RELATIONSHIP BETWEEN URINARY SUPAR AND TREATMENT RESPONSE IN PEDIATRIC NEPHROTIC SYNDROME
Authors: Le Thy Phuong Anh , Hoang Thi Thuy Yen , Tran Kiem Hao , Phan Thi Minh Phuong
Published: June 2022

Objectives: To investigate the relationship between the concentration of urinary soluble urokinase plasminogen activator (suPAR) pretreatment with the treatment responsiveness in children with primary nephrotic syndrome. Methods: Longitudinal follow-up study. Results: A study of 30 children diagnosed with the initial nephrotic syndrome was followed up at Hue Pediatric Center of Hue Central Hospital and Pediatrics Departement of Hue University of Medicine and Pharmacy Hospital. Urinary suPAR/creatinine ratio was 2712 ± 2217 pg/mg (605 - 11443 pg/mg), urinary suPAR/creatinine ratio in children 1-6 years old was significantly higher than that in group 7-15 years old, there was no signifficant difference about urinary suPAR between hematuria and non-hematuria group. Urinary suPAR/creatinine ratio was not significantly associated with
serum albumin, glomerular filtration rate and proteinuria. After 2 months of steroid treatment, 100% patients was completely remission. Following- up 28 patients after 6 months of steroid treatment: the rate of completely remission, infrequent relapse and frequent relapse were 67.8%, 25% and 7.2% respectively, there was no signifficant difference about urinary suPAR/creatinine ratio among three groups. Conclusions: Pre-treatment urinary suPAR/creatinine ratio do not help predict the ability of steroid responsiveness in the early period of treatment. More research is needed to understand more the role of urinary suPAR in pediatric nephrotic syndrome.

Key words: soluble urokinase plasminogen activator, urinary suPAR, childhood nephrotic syndrome
Ultrathin PtRu Nanowires as Efficient and Stable Electrocatalyst for Liquid Fuel Oxidation Reactions
Authors: Yin Kun , Chao Yuguang , Zeng Lingyou , Li Menggang , Liu Fangze , Guo Shaojun , Li Hongbo
Published: June 2022

Direct liquid fuel cells (DLFCs) are promising clean energy conversion devices for their high energy density, low environmental pollution, and convenient transportation and storage. However, the commercialization of DLFCs is still limited by the lack of highly active and stable catalysts for the anodic oxidation of liquid fuels. Herein, a new class of ultrathin PtRu nanowires (NWs) with a diameter of 1.1 nm was synthesized via a colloidal chemistry strategy. The as-made ultrathin PtRu NWs can not only expose large active sites but also enhance the kinetics of methanol oxidation reaction, which was confirmed by the in situ Fourier transform infrared (FTIR) spectroscopy. Consequently, ultrathin PtRu NWs exhibit greatly boosted activity and stability for methanol and ethanol oxidation reactions in an alkaline medium.
Strategies for Internet of Things data privacy and security using systematic review
Authors: Sithembiso Sithembiso , Kekana Teballo, A. , Sibiya Amanda
Published: June 2022

The Internet of Things (IoT) now referend to as the Internet of Everything (IoE) has been in existence long before it was identified as a concept. It was introduced with the emergence of the Fourth Industrial Revolution and was aimed at improving people’s lives and economies across the globe by connecting physical items to the internet so they can be able to deliver specific services implicitly. The nature of IoT requires that all the systems ensure data privacy and security because much of data that is uploaded into and used by the system is personal and private. Thus, the aim of this research was to identify the tools and strategies that can be used for IoT data privacy and security while also providing a brief but intensive understanding of the concept of IoT and data privacy and security challenges faced by IoT systems. This qualitative research study utilised a pragmatic paradigm and data was collected and analysed using text-based secondary data sources and a PRISMA protocol through systematic review. A PRISMA flow diagram was utilised to assess the eligibility of the sources used for this research. The findings showed that hacking is a major challenge that affects IoT systems and that there are strategies that can be used to protect data such as authentication, encryption technology, and anonymisation amongst many. Additional findings found that the strategies have not yet been found effective, but standards have been set upon the results expected from them. The conclusion is that for the identified strategies to be proven effective, they must be implemented and tested in IoT systems, so further investigation can be conducted if they prove to be ineffective.
Supporting Situational Awareness in VANET Attack Scenarios
Authors: Almani Dimah , Furnell Steven , Muller Tim
Published: June 2022

The integration of sensors and communication technologies is enabling vehicles to become increasingly intelligent and autonomous. The Internet of Vehicles (IoVs) is built from intelligent vehicles that work collaboratively and interact with the surrounding environment in real time. The underlying communications infrastructure is provided by Vehicular Ad-hoc Networks (VANETs), for vehicle to infrastructure (V2I) and vehicle to vehicle (V2V) communications.  The volume of autonomous vehicles (AVs) increases, as well as the level of automation for vehicles. The potential for related incidents and attacks increases as a result. A particular concern is the ability to disseminate alerts and emergency messages effectively and securely via the V2V/V2I nodes, given the diminishing involvement of autonomous vehicle users with the operation of the autonomous vehicles.

 

With this challenge in mind, this paper investigates the issue of situational awareness for occupants in autonomous vehicles.  Building from the concept of VANETs and recognised classification of automation levels, the discussion considers a range of related attack scenarios that could be encountered, each of which illustrates also contexts in which occupants may need to be made aware and take decisions in response. Consideration is then given to resulting support for situational awareness that would be required, particularly highlighting the associated requirements for user responsibility at different levels of automation.  The resulting discussion serves to articulate the challenge and serves as a basis for further research to inform the mechanisms to address the resulting requirements.
Pedagogical and self-reflecting approach to improving the learning within a cyber exercise
Authors: Karinsalo Anni , Saharinen Karo , Päijänen Jani , Salonen Jarno
Published: June 2022

: In the digitalized world, there is a growing need not only to improve one’s cybersecurity skills and knowledge, but also to find ways to optimize the learning process, for example by motivating the learners or optimising the learning facilities, material and the learners for the process. Cyber exercises ran within cyber ranges/arenas (CR) are an efficient way for the exercise participants to improve their cybersecurity skills and knowledge level. The pedagogical way of orienteering the participant to a learning situation is to have a preliminary survey, which prepares the participant for the upcoming event, adds self-reflection, and may even provide feedback and background information for the educator about the upcoming event. The objective of the survey is to improve the quality of the exercise by knowing the interest areas, preferences and other useful information about the participants that is then be used optimise the exercise accordingly.  

 This study analyses the structure of one preliminary survey targeted for the cyber exercise event to be held in January 2022. The questions are justified according to existing frameworks. We have collected a set of structured questions presenting different topics related to the participants’ professional background and expectations towards the exercise. In addition to the short-term goal of analysing the survey for one cyber exercise, this work benefits the long-term goal for improving the skills of cybersecurity professionals. Our further work will validate the results of our preliminary analysis and analyse its correspondence with the survey results, and the final analysis constructed after the cyber exercise.
Cyberterritory: An Exploration of the Concept
Authors: Rautava Jori-Pekka , Ristolainen Mari
Published: June 2022

What does the future of cyberspace look like? The idealistic notion of cyberspace as a 'free' and 'open' global infrastructure is progressively challenged by projecting territoriality and conveying traditional nation-state models of governance into cyberspace. The aim of this interdisciplinary paper is to examine the process of cyberspace territorialisation and to present a conceptual definition of a theoretical 'cyberterritory' as a bounded sovereign entity that operates under the jurisdiction of a certain nation-state. Firstly, we explain the different views of the cyberspace governance and summarize the latest developments in the UN's efforts to bring order over cyberspace. Secondly, we analyse the different views on 'digital sovereignty' and show how several nations have felt the need to express publicly their views on sovereignty in cyberspace. Thirdly, we discuss the possibility of new techno-economic alliances, because only few (if any) nation-states could have sufficient resources to be 'sovereign' in cyberspace. Finally, we present a conceptual definition of a theoretical 'cyberterritory' that encompasses political, legal and technical aspects. The significance of this paper is in its contribution to the discussion of future cyberspace governance by presenting a definition of a theoretical 'cyberterritory' as an entity of its own - a new nation-state 'digital terrain' of the future.
A Cyber Counterintelligence Competence Framework
Authors: Thenjiwe Sithole  , Jaco Du Toit
Published: June 2022

The increased use of cyberspace and technological advancement are fundamentally changing the cyber threat landscape. Cyberattacks are becoming more sophisticated, frequent, and destructive. Internationally, there is a growing acceptance that Cyber Counterintelligence (CCI) is essential to counter cyber-attacks optimally. Therefore, in addition to government intelligence and security agencies, more companies are incorporating a CCI approach as a critical element of their posture for engaging cyber threats. However, the successful adoption of a CCI approach depends on the availability of skilled CCI professionals equipped with the requisite competences. The creation of such CCI professionals, in turn, requires a framework for developing the necessary CCI competences. At least in as far as reviewed academic literature is concerned, there is no existing postulation on a framework to develop the CCI competences, specifically for developing countries. Given the complexity and multi-disciplinary nature of the emerging CCI field, such a framework needs to provide two distinctive skillsets linked to CCI’s two distinct areas of expertise, namely cyber (security) and counterintelligence. The paper presents a high-level Cyber Counterintelligence Competence Framework (CCIC Framework) that outlines dimensions of CCI, functional areas, job roles and requisite competences (knowledge, skills, and abilities), and tasks for each CCI job role. The CCI framework also outlines five levels of proficiency expected for each job role. The identification of competences and levels of proficiency are integral to the successful implementation of the framework and workforce development. The CCIC Framework is intended to be used as a tool to retain, assess, and monitor knowledge, skills, and abilities for CCI workforce development. In addition, the CCIC Framework can be used to assist in providing the basis for individual performance management, education, training, and development pathway, as well as career progression. Therefore, this paper presents a CCIC Framework which is an overarching, integrative construct that synergistically combines different components required to develop a competent workforce for the emerging field of CCI.
ECHO Cyber-Skills Framework as a Cyber-Skills Education and Training Tool in Health and Medical Tourism
Authors: Rajamäki Jyri , Beltempo Eleonora , Karvonen Jussi
Published: June 2022

The ECHO Horizon 2020 Project develops a European cybersecurity ecosystem. One of its assets is the ECHO Cyber-Skills Framework (ECSF). This work in progress paper aims to improve cybersecurity education and training in the healthcare industry including health and medical tourism. First, this paper finds out how ECSF will benefit the healthcare sector regarding cyber-skills and awareness in order to create a more secure information technology (IT) environment when it comes to healthcare. Based on these findings, the paper proposes a strategy to adopt ECSF in order to improve the existing state of IT security and increase worker and management awareness and understanding. Finally, the paper looks at ECSF’s possibilities to be a tool for education and training in health and medical tourism.
Analysis of sexual abuse of children online and CAM investigations in Europe
Authors: Rajamäki Jyri , Parviainen Johanna
Published: June 2022

Child sexual abuse or child´s exploitation online as sexual violence including Child Abuse Materials (CAM/CSAM) is a global phenomenon. This case study aims to get information on the current nature of crimes by online published surveys, reports, articles, and documents as an international and cross-border cybercrime in Europe. To get information of children´s own experiences of some European countries, information on how they react to sexual messages or sexual harassment online or how they recognize a threat to be a victim of sexual abuse online are important aspects to understand the phenomenon at all. The sexually motivated offenders and their behavior online conversations are also important to recognize to get more information of this criminal activity at all. If sexual abuse has been done only online, the knowledge of the current events helps law enforcement authorities (LEAs) to understand how they could find reliably the needed digital evidence for pre-trial investigations and judicial processes. The authorities’ workload can be high in CAM/CSAM cases first with handling enormous digital data, but also with nature of cases which has seen widely causing different forms of stress also to professionals. From this point of view, this study also aims to describe how the different forensic tools and technological solutions would help LEAs with their jobs, for example, by classifying different materials into different categories, recognizing better victims and suspects, or winning time to investigate other crimes.
Assessing Information Security Continuous Monitoring in the Federal Government
Authors: AlSadhan Tina , Park Joon
Published: June 2022

To confront the relentless and increasingly sophisticated cyber assaults from cybercriminals, nation-state actors, and other adversaries, the U.S. Federal Government must have mechanisms to reduce or eliminate compromise and debilitating consequences. Information Security Continuous Monitoring (ISCM) leverages technology to rapidly detect, analyze, and prioritize vulnerabilities and threats and deliver a data-driven, risk-based approach to cybersecurity.  Although monitoring information system security became a requirement for government agencies over 20 years ago and billions of dollars are being spent annually for cybersecurity, ISCM remains at a low maturity level across the Federal Government.  This research framework presented is part of ongoing doctoral research.  The research seeks to identify the challenges achieving an effective ISCM program and inform measures needed to optimize ISCM.   The research involves conducting an ISCM Program Assessment in a Department of Defense (DoD) organization using the recently published National Institute of Standards and Technology (NIST) ISCM Assessment (ISCMA) methodology and the companion assessment tool ISCMAx.  An ISCM doctrine placement is presented, derived from the NIST ISCM assessment elements, to more clearly articulate and visualize the doctrine of a well-designed and well-implemented ISCM program.  This research will also contribute to the knowledge base for assessing ISCM in the Federal government and the functionality of the ISCMAx tool.
Identification of Violence in Twitter Using a Custom Lexicon and NLP
Authors: Adkins Jonathan
Published: June 2022

Information warfare is no longer a denizen purely of the political domain. It is a phenomenon that permeates other domains, especially those of mass communications and cybersecurity. Deepfakes, sock puppets, and microtargeted political advertising on social media are some examples of techniques that have been employed by threat actors to exert influence over consumers of mass media. Social Network Analysis (SNA) is an aggregation of tools and techniques used to research and analyze the nature of relationships between entities. SNA makes use of such tools as text mining, sentiment analysis, and machine learning algorithms to identify and measure aspects of human behavior in certain defined conditions. One area of interest in SNA is the ability to identify and measure levels of strong emotions in groups of people. In particular, we have developed a technique in which the potential for increased violence within a community can be identified and measured using a combination of text mining, sentiment analysis, and graph theory. We have compiled a custom lexicon of terms used commonly in discussions relating to acts of violence. Each term in the lexicon has a numerical weight associated with it, indicating how violent the term is. We will take samples of online community discussions from Twitter and use the R and Python programming languages to cross-reference the samples with our lexicon. The results will be displayed in a Twitter discussion graph where the user nodes are color-coded according to the overall level of violence that is inherent in the Tweet. This methodology will demonstrate which communities within an online social network discussion are more at risk for potentially violent behavior. We assert that when this approach is used in association with other NLP techniques such as word embeddings and sentiment analysis, it will provide cybersecurity and homeland security analysts with actionable threat intelligence.
Public Authorities as a Target of Disinformation
Authors: Pekka Koistinen  , Milla Alaraatikka  , Teija Sederholm  , Dominic Savolainen  , Aki-Mauri Huhtinen  , Miina Kaarkoski
Published: June 2022

Disinformation is a part of a modern digitalised society and thus affects public authorities´ daily work. Through disinformation, malicious actors can often erode the fundamentals of democratic societies. In practice, this can be achieved by influencing authorities’ decision-making processes and creating distrust towards public organisations which can weaken authorities’ ability to function. In Finland, public authorities have relatively transparent and open decision-making processes and communication practices compared to other democratic societies. This transparency and openness can be seen as a vulnerability, increasing the opportunities for malicious actors to use disinformation. The authorities of public services are also seen as producers of evidence-based official information. In general, Finns have very high trust in public authorities. Trust has a major impact on societies’ psychological resilience and susceptibility to disinformation. The results of this article strengthen the idea that disinformation weakens authorities’ ability to function. The producers of disinformation, aided by citizens’ high confidence of public authorities, aim to utilise authorities’ communication by misrepresenting the content according to their own agenda. In this study, our purpose is to describe public authorities’ experiences relating to disinformation in their own organisation. This study follows a qualitative design framework by analysing data collected in September 2021 using inductive content analysis. The empirical data includes 16 government officials’ interviews with themes exploring how disinformation affects their daily activities and why they are targets of disinformation. This article is part of a larger project relating to counterforces and detection of disinformation. The results contribute towards a broader understanding on how different types of public authorities, ranging from health to security organisations, communicate in complex social media environments.
How to Utilize E-EWS as a Tool in Healthcare
Authors: Lahdenperä Janne , Muhonen Joonas , Rajamäki Jyri
Published: June 2022

ECHO (the European network of Cybersecurity centres and competence Hub for innovation and Operations) is one of the four pilot projects under the European Commission’s H2020 Program. This work-in-progress paper relates to the project’s task “ECHO Early-Warning Systems (E-EWS) / ECHO Federated Cyber Range (E-FCR) Demonstration Workshops” that will be implemented during 2021 and 2022. As the healthcare industry becomes more connected to the Internet, the possibilities for disastrous cyber-attacks rise accordingly. Well-performing warning systems and robust information sharing between different parties are essential tools to help prevent these attacks. The aim of this paper is to find out how to utilize E-EWS as a tool in the healthcare sector. We started by mapping out the existing Early Warning Systems related to healthcare. At the same time, we researched the different implementations of E-EWS into already existing national systems and how possible information sharing could be done. As a result, we found that there does not seem to be any widely used international Early Warning Systems in use in the healthcare field and can conclude that implementing E-EWS could have significant benefits for the whole industry. A working Early Warning System can help to prevent cyber threats and save lives. However, there are many challenges involved in the implementation. First, the healthcare field is very fragmented with many different private and national actors, and second, the structural differences between different EU countries bring their own problems. Thus, the successful implementation of E-EWS in healthcare depends mainly on how all the different actors can cooperate.
Cyber Concerns With Cloud Computing
Authors: Chan Jacob , Reith Mark
Published: June 2022

The last two decades has seen a paradigm shift towards cloud-based services, cloud-central storage, and cloud computing. The benefits of this shift has been undeniable, including minimal user infrastructure needed to achieve what appears to be limitless data storage, powerful processing capabilities, and services that scale according to demand. However, when there is an upside there usually exists a downside. Cloud computing brings many security and cyber concerns that stems from the inherent insecurity of having large concentrations of data and assets in the cloud, making it a priority target for malicious actors. This survey paper will provide a review of the existing cyber concerns with cloud computing from a military perspective and point out future cyber concerns that may populate due to emerging technological advancements on the horizon.
Application of Geospatial Data in Cyber security
Authors: Veerasamy Namosha , Moolla Yaseen , Dawood Zubeida
Published: June 2022

Geospatial data is often perceived as only being related to maps, compasses and locations. However, the application areas of geospatial data are far wider and even extend to the field of cybersecurity. Not only is there an ability to show points of interest and emerging network traffic conditions, geospatial data also has the ability to model cyber crime growth patterns and indicate affected areas as well as the emergence of certain type of cyber threats.

Geospatial data can feed into intelligence systems, help with analysis, information sharing, and help create situational awareness. This is particularly useful in the area of cyber security.  Geospatial data is very powerful and can help to prioritise cyber threats and identify critical areas of concern.

Previously, geospatial data was primarily used by militaries, intelligence agencies, weather services or traffic control. Currently, the application of geospatial data has multiplied, and it spans many more industries and sectors. So too for cyber security, geospatial data has a wide number of uses. It may be difficult to find patterns or trends in large data sets. However, the graphic capabilities of geo mapping help present data in more digestible manner. This may help analysts identify emerging issues, threats and target areas.  In this paper, the usefulness of geospatial data for cyber security is explored. The paper will cover a framework of the key application areas that geospatial data can serve in the field of cyber security. The ten application areas covered in the paper are: tracking, data analysis, visualisation, situational awareness, cyber intelligence, collaboration, improved response to cyber threats, decision-making, cyber threat prioritisation and protect cyber infrastructure It is aimed that through the paper, the application areas of geospatial data can be more widely adopted.
FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN PERILAKU AMAN BERKENDARA PADA PENGEMUDI BUS TRAYEK LEBAK BULUS/CIPUTAT-BANDUNG DI PT PRIMAJASA PERDANARAYA UTAMA TAHUN 2022
Authors: Putro Wahyu Gito , Siregar Amelia Puspita , Hasan H. M. , Melizsa Melizsa
Published: June 2022

Perilaku Aman Berkendara merupakan upaya untuk meningkatkan perilaku disiplin para pengemudi kendaraan bermotor agar sesuai dengan tata cara berlalu lintas yang benar dan aman. Tujuan penelitian ini adalah untuk menganalisis faktor-faktor yang berhubungan dengan perilaku aman berkendara. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan cross sectional yang bertujuan untuk mengetahui hubungan antara variabel bebas dengan variabel terikat. Jumlah sampel dalam penelitian ini sebanyak 30 pengemudi. Sampel diambil menggunakan teknik total sampling. Dari hasil uji statistik chi-square diperoleh variabel yang berhubungan dengan perilaku aman berkendara adalah tingkat pengetahuan (p-value = 0,007), kondisi kendaraan (p-value = 0,030), dan dukungan keluarga (p-value = 0,009). Sedangkan variabel yang tidak berhubungan adalah lama kerja (p-value = 0,136), masa kerja (p-value = 0,411), lama istirahat (p-value = 0,461). Pada penelitian ini, peneliti menyarankan untuk tidak mengemudi di atas kecepatan rata-rata yaitu (>80 km/jam), tidak menggunakan ponsel ketika mengemudi, serta melengkapi perlengkapan keselamatan berkendara seperti kotak P3K, APAR, dan lainnya.
PENGARUH LINGKUNGAN KERJA TERHADAP KINERJA KARYAWAN PADA CV. PILAR PERKASA MANDIRI
Authors: Herlambang Muhamad Agus Teguh , Wardani Suci Fitriana Pramudya , Yuliawati Asih
Published: June 2022

Pengelolaan sumber daya manusia secara profesional mampu mewujudkan keseimbangan antara kebutuhan karyawan dengan kemampuan organisasi. Upaya pengelolaan sumber daya dilakukan guna meningkatkan kinerja karyawan. Kinerja adalah hasil dan perilaku kerja yang diperoleh dengan cara menyelesaikan tugas dan tanggung jawab dalam jangka waktu tertentu. Kinerja dapat dipengaruhi oleh beberapa faktor diantaranya lingkungan kerja, motivasi, disiplin kerja kemampuan, dan kepemimpinan.  Penelitian ini bertujuan untuk menguji pengaruh faktor lingkungan kerja karyawan CV. Pilar Perkasa Mandiri terhadap kinerja. Penelitian ini menggunakan penelitian kuantitatif dengan metode analisis regresi linier sederhana dan juga menggunakan uji-t. penelitian ini dilakukan di CV. Pilar Perkasa Mandiri. Populasi dan sampel penelitian ini adalah seluruh karyawan pada perusahaan tersebut atau total sampling. Hasil uji statistik diperoleh hasil bahwa lingkungan kerja berpengaruh secara signifikan terhadap kinerja karyawan CV. Pilar Perkasa Mandiri. Dengan adanya upaya peningkatan kondisi lingkungan kerja perusahaan yang sudah cukup baik, diharapkan mampu menghasilkan peningkatan kinerja karyawan. Sehingga diperoleh peningkatan produktivitas perusahaan CV. Pilar Perkasa Mandiri.
PENGARUH TERAPI MUROTTAL AL-QUR’AN TERHADAP KECEMASAN, STRES DAN TEKANAN DARAH PADA PEKERJA (STUDI KASUS : PT. ARTERIA DAYA MULIA (ARIDA) CIREBON
Authors: Mamlukah Mamlukah , Apriliany Vemy Tri , Kumalasari Isti
Published: June 2022

Lingkungan kerja yang tidak sesuai standar menimbulkan dampak yang merugikan bagi pekerja. Terapi murottal Al-Qur’an mampu mendamaikan seseorang secara damai dan tentram. Penelitian ini bertujuan untuk menganalisis pengaruh terapi murottal Al-Qur’an terhadap kecemasan, stres kerja, dan tekanan darah pekerja di PT. ARIDA Cirebon. Penelitian ini menggunakan desain pra-eksperimen dengan desain two- group pretest-posttest design. Subjek penelitian adalah 36 pekerja yang diambil secara accidental sampling. Subjek dibagi menjadi dua, 18 orang sebagai kelompok intervensi dan sisanya sebagai kontrol. Instrumen yang digunakan dalam penelitian ini adalah kuesioner dan tensimeter. Data dianalisis secara deskriptif dan dengan uji marginal homogeneity.
Hasil penelitian menunjukkan bahwa terdapat penurunan tekanan darah, tingkat stres dan kecemasan pada kelompok yang mendapat terapi murottal Al-Qur’an. Terdapat perbedaan tingkat kecemasan dengan pengukuran tekanan darah (p= 0,000) dan stres (p= 0,006) antara kedua kelompok. Dapat disimpulkan bahwa ada pengaruh terapi murottal Al-Qur’an terhadap penurunan tingkat stres, kecemasan dan tekanan darah pekerja di PT. ARIDA. Penanggung jawab ruang produksi dan pekerja dapat mempertimbangkan dan menerapkan terapi murottal Al-Qur’an sebagai terapi alternatif untuk mengurangi gejala stres secara mandiri.
KEJADIAN ANEMIA BERDASARKAN ASUPAN ENERGI, VITAMIN B6, VITAMIN B12, VITAMIN C DAN KERAGAMAN MAKANAN PADA ANAK SEKOLAH DASAR DI MI PUI KOTA CIMAHI
Authors: Supriadi Dedi , Budiana Teguh Akbar , Jantika Galih
Published: June 2022

Permasalahan gizi di Indonesia masih menjadi fokus perhatian dunia kesehatan, hal ini dikarenakan negara Indonesia mengalami beban ganda permasalahan gizi. Selain permasalahan gizi makro negara Indonesia masih mengalami permasalahan gizi mikro, penyebab anemia pada anak sekolah dasar adalah salah satunya kekurangan vitamin dan mineral. Penelitian ini menggunakan desain cross sectional, sampel penelitian anak sekolah dasar kelas 5 MI PUI Kota Cimahi berjumlah 44 orang, Pengumpulan data untuk asupan zat gizi menggunakan metode recall 24 jam. Pengukuran kadar Hb menggunakan cyanmethemoglobin, uji statistik untuk analisa data menggunakan uji Chi-square. Hasil analisis data menunjukan terdapat hubungan antara asupan energi dengan kejadian anemia (p=0.018), Tidak ada hubungan antara asupan vitamin B12 dengan kejadian anemia (p= 0.180), Tidak ada hubungan antara asupan vitamin B6 dengan kejadian anemia (p= 0.329), Terdapat ada antara asupan vitamin C dengan kejadian anemia (p= 0.007), Ada hubungan antara keragaman makanan dengan kejadian anemia (p= 0.004). Anak-anak merupakan masa tumbuh kembang ke 2 setelah balita, untuk pertumbuhan dan perkembangan dibutuhkan asupan nutrisi yang cukup. Keragaman makanan sudah terbukti menjadi salah satu faktor resiko terjadinya anemia, karena itu pendidikan gizi dan pemahaman kepada siswa maupun orang tua mengenai makanan beragam dan sesuai kebutuhan harus dilakukan.
HUBUNGAN KEPUASAN KERJA DENGAN KINERJA PERAWAT PELAKSANA DI RUMAH SAKIT UMUM DAERAH AL – MULK KOTA SUKABUMI
Authors: Budhiana Johan , Affandi Thahira Nasagi Rosa , Ede Abdul Rahman La
Published: June 2022

Pelayanan keperawatan merupakan salah satu sistem pelayanan kesehatan yang memiliki kontribusi penting dalam meningkatkan pelayanan rumah sakit. Keberhasilan pelayanan keperawatan sangat ditentukan oleh kinerja perawat. Jika perawat merasa puas dengan pekerjaanya maka kinerjanya pun akan baik. Tujuan penelitian ini adalah mengetahui hubungan kepuasan kerja dengan kinerja perawat pelaksana di RSUD Al – Mulk Kota Sukabumi. Kepuasan kerja merupakan sikap emosional yang menyenangkan dan mencintai pekerjaannya. Kinerja merupakan suatu hasil kerja perawat yang dilakukan sesuai dengan tugas dalam suatu organisasi.

Desain penelitian ini adalah korelasional dengan menggunakan pendekatan cross sectional. Populasi penelitian semua perawat pelaksana di RSUD Al-Mulk dengan sampel 34 orang dengan teknik total sampling. Analisa data menggunakan analisa univariat dengan mean, distribusi frekuensi dan presentase setiap kategori, analisa bivariat menggunakan uji somers’d. Hasil penelitian menunjukkan sebagian besar responden memiliki kepuasan kerja cukup puas dan kinerja baik. Analisis uji hipotesis dengan nilai P-value 0,008 dan nilai somers’d 0,380 yang menunjukkan bahwa terdapat hubungan yang lemah antara kepuasan kerja dengan kinerja perawat pelaksana. Disimpulkan sebagian besar perawat pelaksana memiliki kepuasan kerja cukup puas dengan kinerja baik serta ada hubungan kepuasan kerja dengan kinerja perawat pelaksana. Perlu adanya perencanaan yang berkaitan dengan peningkatan kepuasan kerja dan kinerja. Terutama peningkatan masalah aspek gaji dan promosi.