bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intrusion detection in cloud computing based on time series anomalies utilizing machine learning
Authors: Al-Ghuwairi Abdel-Rahman , Sharrab Yousef , Al-Fraihat Dimah , AlElaimat Majed , Alsarhan Ayoub , Algarni Abdulmohsen 
Published: August 2023

AbstractThe growth of cloud computing is hindered by concerns about privacy and security. Despite the widespread use of network intrusion detection systems (NIDS), the issue of false positives remains prevalent. Furthermore, few studies have approached the intrusion detection problem as a time series issue, requiring time series modeling. In this study, we propose a novel technique for the early detection of intrusions in cloud computing using time series data. Our approach involves a method for Feature Selection (FS) and a prediction model based on the Facebook Prophet model to assess its efficiency. The FS method we propose is a collaborative feature selection model that integrates time series analysis techniques with anomaly detection, stationary, and causality tests. This approach specifically addresses the challenge of misleading connections between time series anomalies and attacks. Our results demonstrate a significant reduction in predictors employed in our prediction model, from 70 to 10 predictors, while improving performance metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), Median Absolute Percentage Error (MdAPE), and Dynamic Time Warping (DTW). Furthermore, our approach has resulted in reduced training, prediction, and cross-validation times of approximately 85%, 15%, and 97%, respectively. Although memory consumption remains similar, the utilization time has been significantly reduced, resulting in substantial resource usage reduction. Overall, our study presents a comprehensive methodology for effective early detection of intrusions in cloud computing based on time series anomalies, employing a collaborative feature selection model and the Facebook Prophet prediction model. Our findings highlight the efficiency and performance improvements achieved through our approach, contributing to the advancement of intrusion detection techniques in the context of cloud computing security.
Association between intimate partner violence and nutritional status among Indian women: a latent class analysis approach
Authors: Bhandari Pravat , Prusty Ranjan Kumar , Begum Shahina 
Published: August 2023

Abstract
Background
Intimate partner violence (IPV) is an unabating public health issue that has numerous negative repercussions for women’s health. Its detrimental impact on women’s nutritional outcomes has been documented in a few studies from low- and middle-income countries; however, there is a lack of granular understanding in terms of the typology of IPV experiences and their association with nutritional outcomes. This study explores the distinct classes of IPV experience among women in India and examines how these classes are associated with their nutritional outcomes.

Methods
Using data of 60,622 ever-married women aged 15–49 years from the 2019-21 National Family Health Survey (NFHS-5), latent class analysis (LCA) was performed to identify distinct groups of women based on their IPV experiences. BMI was used to assess women’s nutritional status, and it was classified as: <18.5 kg/m2 (underweight), 18.5–24.9 kg/m2 (normal) and ≥ 25.0 kg/m2 (overweight). Further, multinomial logistic regression analyses were used to estimate the odds of being underweight or overweight by latent classes of IPV experiences.

Results
LCA model identified four distinct IPV experience groups of women: Low Physical and Low Sexual IPV (LPLS-IPV) class (72%); High Physical and Low Sexual IPV (HPLS-IPV) (12.5%); High Sexual and Low Physical IPV (HSLP-IPV) (12%); and High Physical and High Sexual (HPHS-IPV) class (3.5%). The likelihood of being underweight was higher among women in the HPHS-IPV class (aOR: 1.24, 95% CI: 1.08–1.44), followed by those in the HPLS-IPV class (aOR: 1.11, 95% CI: 1.04–1.20).

Conclusion
The latent class groups found that high physical IPV experiences were associated with women’s nutritional outcomes. The experiences of women having both high physical and sexual violence affect women’s nutritional outcomes to a greater extent and they are more likely to be undernourished.
Development of a transdiagnostic digital interactive application for eating disorders: psychometric properties, satisfaction, and perceptions on implementation in clinical practice
Authors: Booij Linda , Israël Mimi , Ferrari Manuela , St-Hilaire Annie , Paquin-Hodge Chloé , Allard Melissa , Blaquière Amélie , Dornik Julia , Freiwald Shiri , Long Shawna A. , Monarque Marika , Pelletier William D. , Thaler Lea , Yaffe Miriam , Steiger Howard 
Published: August 2023

AbstractBackgroundGiven limited availability of informed treatments for people affected by eating disorders (EDs), there has been increasing interest in developing self-administered, technology-based ED interventions. However, many available interventions are limited to a specific ED diagnosis or assume that participants are ready to change. We developed a digital self-help application (called ASTrA) that was explicitly designed to betransdiagnosticand to help increase motivation for change. The aim of the present study was to describe the development and examine the psychometric properties, user satisfaction and rated potentials for practical use of our application.MethodsThe content of our application was based on concepts derived from self-determination theory, the transtheoretical model of change, and cognitive theory. The application was developed by a multidisciplinary team of clinicians, researchers, staff members and individuals with lived ED experience, each being involved in all steps of the application’s development. We tested validity, reliability, satisfaction and perceived feasibility for clinical implementation in an independent sample of 15 patients with an ED and 13 clinicians specialized in ED treatment. Psychometric properties were evaluated using descriptive statistics, correlations, content validity indices and intraclass coefficients. Differences in satisfaction ratings and perceived potential for clinical implementation of the application between clinicians and patients were examined using Mann–Whitney U tests.ResultsThe digital application showed excellent validity (mean i-CVI: .93, range: .86–.96) and internal reliability (all Cronbach alpha’s > .88). Patients and clinicians both considered the application acceptable, appropriate, and feasible for use in clinical practice.ConclusionsFindings suggest that our transdiagnostic interactive application has excellent psychometric properties. Furthermore, patients and clinicians alike were positive about the possible use of the application in clinical practice. The next step will be to investigate the application's effectiveness as an intervention to promote autonomous motivation and to facilitate remission in people on the waitlist for specialized ED treatment.
Health decline in prison and the effects of sporting activity: results of the Hessian prison sports study
Authors: Mutz Michael , Müller Johannes 
Published: August 2023

Abstract
Background
Previous studies about health in prisons conclude that incarceration has detrimental consequences for physical and mental health. It is associated with weight gain, decreased fitness, increased cardiovascular risks, and increased risks for mental illnesses, like depression and anxiety. This article examines the relationships between sports activity and health developments among prisoners. We analyze data from the Hessian Prison Sports Study, conducted in 12 prisons of the federal state of Hesse, Germany.

Results
Based on quantitative survey data of 568 prisoners in regular custody, our empirical findings show that inmates perceive substantial health declines since incarceration. They report substantial decreases in general health (d=-0.52) and life satisfaction (d=-0.84) as well as an increased number of health problems (d = 0.71). However, sport has a potential to buffer this decline of health. Prisoners engaged in sports report a less negative development of their health compared to inactive prisoners. The greater the amount of time spent with sports activities, the better are the health trajectories found.

Conclusion
Findings add to the public health and prison sport literature by demonstrating health benefits of sporting activities in a vulnerable population group that almost inevitably is exposed to manifold strains and burdens.
The impact of social connectedness on mental health in LGBTQ + identifying individuals during the COVID-19 pandemic in Germany
Authors: Firk Christine , Großheinrich Nicola , Scherbaum Norbert , Deimel Daniel 
Published: August 2023

Abstract
Background
Recent studies report that LGBTQ + people have experienced high levels of mental health problems during COVID-19-related social distancing. Given the well-established association between social isolation and mental health, the main aim of the current study was to investigate differences in mental health and (perceived) social isolation and social support in LGBTQ + individuals compared to heterosexual, cisgender people and to explore whether the hypothesized higher mental health burden in LGBTQ + individuals is (partly) mediated by (perceived) social isolation or social support.

Methods
N = 531 participants indicating belonging to the LGBTQ + community and N = 1826 not identifying as LGBTQ + participated in a cross-sectional online survey during the initial COVID-19-related lockdown in Germany. Standardized questionnaires were used to assess depression, anxiety, suicidality, loneliness and social support. Further, perceived social isolation and face-to-face communication during the lockdown were assessed.

Results
LGBTQ + people had higher levels of depression, anxiety and suicidal thought, were lonelier and experienced less social support than non-LGBTQ + identifying individuals. Mediation analysis showed that the higher levels of mental health burden in LGBTQ + people were (partly) mediated by reduced social connectedness. Further face-to-face contact positively affected mental health by reducing feelings of loneliness.

Conclusion
Given the high impact of loneliness on mental health, governmental actions should be taken to promote social connectedness particularly among LGBTQ + identifying individuals to ensure that the COVID-19 pandemic does not exacerbate the health inequalities that already exist between LGBTQ+-identifying and heterosexual, cisgender people.
‘Pawing’ uncertainty! how dogs attenuate the impact of daily hassles at work on uncertainty
Authors: Junça-Silva Ana 
Published: August 2023

Abstract
Purpose
This study relied on the integrative model of uncertainty tolerance to delineate an argument proposing that daily hassles trigger uncertainty, and this influences adaptive performance. Furthermore, relying on the “furr-recovery method” –where interactions with dogs allow dog owners to recover from negative situations or job demands - this study tested whether having a dog would moderate the relationship between daily hassles and uncertainty.

Methodology
To test this proposed model, daily data during ten working days was gathered with a sample of white-collar workers who were teleworking (N = 233 × 10 = 2,330).

Findings
Multilevel results showed that daily hassles influenced adaptive performance via perceived uncertainty. However, the relationship between daily hassles and uncertainty was conditional on the ownership of a dog, in such a way that the relationship became weaker for those who had dogs. That is, those who did not have dogs had increased levels of uncertainty after daily hassles when compared to those who had dogs.

Practical implications
Managers may consider the adoption of pet-friendly work practices (for instance, telework – working from home allow employees to work nearby and interact with their dogs during worktime) as dogs appear to have a beneficial effect to help employees effectively cope with daily hassles and reduce their uncertain reactions.

Originality
This study advances knowledge regarding the pawing-effect (the reduced uncertainty to daily hassles on dog owners) on employees’ uncertainty to daily hassles and opens new venues for research regarding their role in work-related outcomes. Further, future research could examine how human-dog interactions or the quality of their relationship may benefit owners and explore the benefits of bringing dogs to work periodically.
Self-organized insulin-producing β-cells differentiated from human omentum-derived stem cells and their in vivo therapeutic potential
Authors: Jeong Ji Hoon , Park Ki Nam , Kim Joo Hyun , Noh KyungMu , Hur Sung Sik , Kim Yunhye , Hong Moonju , Chung Jun Chul , Park Jae Hong , Lee Jongsoon , Son Young-Ik , Lee Ju Hun , Kim Sang-Heon , Hwang Yongsung 
Published: August 2023

Abstract

Background
Human omentum-derived mesenchymal stem cells (hO-MSCs) possess great potential to differentiate into multiple lineages and have self-renewal capacity, allowing them to be utilized as patient-specific cell-based therapeutics. Although the use of various stem cell-derived β-cells has been proposed as a novel approach for treating diabetes mellitus, developing an efficient method to establish highly functional β-cells remains challenging.

Methods
We aimed to develop a novel cell culture platform that utilizes a fibroblast growth factor 2 (FGF2)-immobilized matrix to regulate the adhesion and differentiation of hO-MSCs into insulin-producing β-cells via cell–matrix/cell–cell interactions. In our study, we evaluated the in vitro differentiation potential of hO-MSCs cultured on an FGF2-immobilized matrix and a round-bottom plate (RBP). Further, the in vivo therapeutic efficacy of the β-cells transplanted into kidney capsules was evaluated using animal models with streptozotocin (STZ)-induced diabetes.

Results
Our findings demonstrated that cells cultured on an FGF2-immobilized matrix could self-organize into insulin-producing β-cell progenitors, as evident from the upregulation of pancreatic β-cell-specific markers (PDX-1, Insulin, and Glut-2). Moreover, we observed significant upregulation of heparan sulfate proteoglycan, gap junction proteins (Cx36 and Cx43), and cell adhesion molecules (E-cadherin and Ncam1) in cells cultured on the FGF2-immobilized matrix. In addition, in vivo transplantation of differentiated β-cells into animal models of STZ-induced diabetes revealed their survival and engraftment as well as glucose-sensitive production of insulin within the host microenvironment, at over 4 weeks after transplantation.

Conclusions
Our findings suggest that the FGF2-immobilized matrix can support initial cell adhesion, maturation, and glucose-stimulated insulin secretion within the host microenvironment. Such a cell culture platform can offer novel strategies to obtain functional pancreatic β-cells from patient-specific cell sources, ultimately enabling better treatment for diabetes mellitus.

Graphical Abstract
Addressing inter-device variations in optical coherence tomography angiography: will image-to-image translation systems help?
Authors: Nouri Hosein , Nasri Reza , Abtahi Seyed-Hossein 
Published: August 2023

Abstract
Background
Optical coherence tomography angiography (OCTA) is an innovative technology providing visual and quantitative data on retinal microvasculature in a non-invasive manner.

Main body
Due to variations in the technical specifications of different OCTA devices, there are significant inter-device differences in OCTA data, which can limit their comparability and generalizability. These variations can also result in a domain shift problem that may interfere with applicability of machine learning models on data obtained from different OCTA machines. One possible approach to address this issue may be unsupervised deep image-to-image translation leveraging systems such as Cycle-Consistent Generative Adversarial Networks (Cycle-GANs) and Denoising Diffusion Probabilistic Models (DDPMs). Through training on unpaired images from different device domains, Cycle-GANs and DDPMs may enable cross-domain translation of images. They have been successfully applied in various medical imaging tasks, including segmentation, denoising, and cross-modality image-to-image translation. In this commentary, we briefly describe how Cycle-GANs and DDPMs operate, and review the recent experiments with these models on medical and ocular imaging data. We then discuss the benefits of applying such techniques for inter-device translation of OCTA data and the potential challenges ahead.

Conclusion
Retinal imaging technologies and deep learning-based domain adaptation techniques are rapidly evolving. We suggest exploring the potential of image-to-image translation methods in improving the comparability of OCTA data from different centers or devices. This may facilitate more efficient analysis of heterogeneous data and broader applicability of machine learning models trained on limited datasets in this field.
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Authors: Badawy Mohammed , Ramadan Nagy , Hefny Hesham Ahmed 
Published: August 2023

AbstractHealthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated data relationships and transforming them into real information for use in the prediction process. Consequently, artificial intelligence is rapidly transforming the healthcare industry, and thus comes the role of systems depending on machine learning and deep learning in the creation of steps that diagnose and predict diseases, whether from clinical data or based on images, that provide tremendous clinical support by simulating human perception and can even diagnose diseases that are difficult to detect by human intelligence. Predictive analytics for healthcare a critical imperative in the healthcare industry. It can significantly affect the accuracy of disease prediction, which may lead to saving patients' lives in the case of accurate and timely prediction; on the contrary, in the case of an incorrect prediction, it may endanger patients' lives. Therefore, diseases must be accurately predicted and estimated. Hence, reliable and efficient methods for healthcare predictive analysis are essential. Therefore, this paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction and identify the inherent obstacles to applying these approaches in the healthcare domain.
Tubular colonic duplication: a case report and brief review of the literature
Authors: Keilani Rasem , Al Taher Raed , Bader Ghayda‘ , Hajeer Leen , Bader Taima , Alfreijat Balqis 
Published: August 2023

Abstract
Background
The occurrence of complete tubular colonic duplication is exceedingly rare. In most cases, resection of the duplicated colon may not be possible because of common blood supply with a single mesentery shared between the duplication and associated original bowel (Karkera et al., Pediatr Gastroenterol Hepatol Nutr 18:197-201, 2015).

Case presentation
In this paper, we present a case of a 9-month-old girl who was noticed to pass stools through her vagina since birth despite normal anus in place, in association with constipation and pain on defecation. On local examination, a vestibular fistula was found. Further management including fistulogram, barium enema, and laparoscopy were performed. She was found to have tubular T-shaped colonic duplication with separate lumens from the mid-transverse colon downwards. Due to a shared fused wall, a decision was made to create a side-to-side (window) anastomosis at descending colon level using GIA staplers and end-to-side anastomosis at a sigmoid level between duplicated and normal colons with (mucosectomy) of duplicated colon down to the perineum.

Conclusions
Tubular colonic duplication should be kept in mind in patients presenting with vestibular fistula and fecal soiling in the presence of a normal anus. Minimal-invasive procedures are a safe and good alternative.
The impact of family interventions on communication in the context of anxiety and depression in those aged 14–24 years: systematic review of randomised control trials
Authors: Lloyd Alex , Broadbent Amy , Brooks Edmund , Bulsara Karen , Donoghue Kim , Saijaf Rouhma , Sampson Katie N. , Thomson Abigail , Fearon Pasco , Lawrence Peter J. 
Published: August 2023

BackgroundThe ability to communicate is integral to all human relationships. Previous research has specifically highlighted communication within families as both a risk and protective factor for anxiety disorders and/or depression. Yet, there is limited understanding about whether communication is amenable to intervention in the context of adolescent psychopathology, and whether doing so improves outcomes.AimsThe aim of this systematic review was to determine in which contexts and for whom does addressing communication in families appear to work, not work and why?MethodWe pre-registered our systematic review with PROSPERO (identifier CRD42022298719), followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance and assessed study quality with the Risk of Bias 2 tool.ResultsSeven randomised controlled trials were identified from a systematic search of the literature. There was significant heterogeneity in the features of communication that were measured across these studies. There were mixed findings regarding whether family-focused interventions led to improvements in communication. Although there was limited evidence that family-focused interventions led to improvements in communication relative to interventions without a family-focused component, we discuss these findings in the context of the significant limitations in the studies reviewed.ConclusionsWe conclude that further research is required to assess the efficacy of family-focused interventions for improving communication in the context of anxiety and depression in those aged 14–24 years.