bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lung Cancer Detection from CT Images: Modified Adaptive Threshold
Segmentation with Support Vector Machines and Artificial Neural Network
Classifier
Authors: S. Nair Sneha , Meena Devi V. N. , Bhasi Saju 
Published: July 2023

Background:
The most difficult aspect of diagnosing lung cancer is early diagnosis. According to the American Cancer Society, each year, there are around 11 million newly diagnosed instances of cancer worldwide. Radiologists often turn to Computed Tomography (CT) scans to diagnose respiratory conditions, which can reveal if lung tissue remains normal or abnormal. However, there is an increased chance of inaccuracy and delay; therefore, radiologists are concerned with the physical segmentation of nodules.

Objective:
The objective of the research is to implement an advanced modified threshold segmentation and classification model for early and accurate detection of lung cancer from CT images.

Methods:
Using the Support Vector Machines (SVM) classifier as well as the Artificial Neural Network (ANN) classifier, the authors propose using Modified adaptive threshold segmentation as a segmentation approach for cancer detection. Here, Lung Image Database Consortium (LIDC) datasets, a collection of CT scans, are used as the video frames in an investigation to authorize the recitation of the suggested technique.

Results:
Both quantitative as well as qualitative analyses are used to analyze the segmentation function of the anticipated algorithm. Both the ANN and SVM classifiers used in the suggested technique for lung cancer diagnosis achieve world-record levels of accuracy, with the former achieving a 96.3% detection rate and the latter a 97% rate of accuracy.

Conclusion:
This innovation may have a major impact on the worldwide rate of lung cancer rate due to its ability to detect lung tumors in their earliest stages when they are most amenable to being avoided and treated. This method is useful because it provides more information and facilitates quick, precise decision-making for doctors diagnosing lung cancer in their patients.
In silico Evaluation of Ferulic Acid Based Multifunctional Conjugates as
Potential Drug Candidates
Authors: Al-Btoush Hayat A. , Al-Sha'er Mahmoud A. 
Published: July 2023

Background:
Recent research has shown that ferulic acid (FA, trans-4-hydroxy-3-
methoxycinnamic acid) has remarkable antioxidant properties and a wide range of biological activities.
Conjugation of two or more biologically active compounds to produce a novel molecular scaffold
is justified by the need to enhance biological activity against a single target or obtain a conjugate
that behaves as a multi-target-directed ligand. In addition, the conjugation strategy decreases
dose-dependent side effects by promoting the use of smaller doses of conjugated components to treat
the disease. Moreover, the patient's compliance is positively affected when conjugating two active
compounds into a single more active compound as this reduces the number of pills to be taken daily.

Objective:
This study aims to shed light on studies that design and synthesize FA-based hybrid compounds
with enhanced biological activities and to in silico assess these compounds as potential drug
candidates.

Methods:
The conjugate compounds were found by searching the literature using the keywords
(ferulic acid-based hybrid or ferulic acid-based conjugate). To study conjugate pharmacokinetic parameters
and toxicity (ADMET), software suites from Biovia Inc. (San Diego, California) were integrated
into Discovery Studio 4.5. The structures were created using ChemDraw Ultra 7.0.

Results:
14 conjugates exhibiting variable biological activities were collected and three of them
(compounds 3,5, and 6) in addition to the cis FA (compound 12) are the best-predicted compounds
with low Daphnia toxicity and hepatotoxicity with acceptable pharmacokinetic properties.

Conclusion:
Cis FA, FA conjugates 3,5, and 6 act as good drug candidates that can be used to modify
new hits.
Use of Mesenchymal Stem Cells in Experimental Ovarian Damage
Authors: Fouad Hanan , Albahlol Ibrahim A , Wahab Hazim A. , Nadwa Eman H , Galal Heba M. , Abouelkheir Mohamed , Taha Ahmed E. , Kamel Abdelkarim G. , Abdelmawlla Hassan A. 
Published: July 2023

Background:
Bisphenol-A (BPA) has a well-proven deleterious effect on the hypothalamicpituitary-
gonadal axis.

Objectives:
The current study investigated the therapeutic potentials of mesenchymal stem cells (MSCs)
in a murine model of BPA-induced ovarian damage.

Methods:
Fifty adult female rats were divided into: Group 1; control group, Group IIa, IIb: rats were given
oral gavage of BPA (25 and 50 mg/Kg body weight respectively) on a daily basis for 15 days, and
Group IIIa, IIIb; rats were intravenously treated with of MSCs (106 cells) after receiving the last dose of
BPA as in group II. Plasma and ovarian tissue levels of Malondialdehyde (MDA) and gonadal axis hormones
were assessed. Apoptosis was evaluated by TUNNEL assay and by apoptosis markers (FAS,
FASL, Caspase 3, SLTM). A histological examination of ovarian tissue was also conducted.

Results:
BPA resulted in a significant elevation in plasma levels of LH, FSH, and ovarian tissue levels of
MDA and a significant decrease in estradiol and progesterone. All genetic and protein markers of apoptosis
were elevated in BPA treated group with decreased oestrogen receptor expression in the ovarian tissue.
Increased apoptotic cells were confirmed by TUNEL assay. A high dose of BPA was able to increase the
number of atretic follicles in the ovarian tissue whereas the numbers of primordial, primary, secondary
and Graafian follicles were decreased. All the laboratory and histological abnormalities were ameliorated
by treatment with MSCs.

Conclusion:
The antioxidant and anti-apoptotic effects of MSCs could possibly explain the ability of this
therapeutic modality to ameliorate BPA-induced-ovarian damage.
An Energy-saving Data Transmission Approach based on Migrating
Virtual Machine Technology to Cloud Computing
Authors: Shaker Reddy Pundru Chandra , Sucharitha Yadala 
Published: July 2023

Introduction:
Over the past few years, researchers have greatly focused on increasing
the electrical efficiency of large computer systems. Virtual machine (VM) migration helps data
centers keep their pages' content updated on a regular basis, which speeds up the time it takes to
access data. Offline VM migration is best accomplished by sharing memory without requiring
any downtime.

Objective:
The objective of the paper was to reduce energy consumption and deploy a unique
green computing architecture. The proposed virtual machine is transferred from one host to another
through dynamic mobility.

Methodology:
The proposed technique migrates the maximally loaded virtual machine to the
least loaded active node, while maintaining the performance and energy efficiency of the data
centers. Taking into account the cloud environment, the use of electricity could continue to be
critical. These large uses of electricity by the internet information facilities that maintain computing
capacity are becoming another major concern. Another way to reduce resource use is to
relocate the VM.

Results:
Using a non-linear forecasting approach, the research presents improved decentralized
virtual machine migration (IDVMM) that could mitigate electricity consumption in cloud information
warehouses. It minimizes violations of support agreements in a relatively small number
of all displaced cases and improves the efficiency of resources.

Conclusion:
The proposed approach further develops two thresholds to divide overloaded hosts
into massively overloaded hosts, moderately overloaded hosts, and lightly overloaded hosts. The
migration decision of VMs in all stages pursues the goal of reducing the energy consumption of
the network during the migration process. Given ten months of data, actual demand tracing is
done through PlanetLab and then assessed using a cloud service.
The Impact of Cybervictimization on the Self-Management of Chronic Conditions: Lived Experiences
Authors: Alhaboby Zhraa A , Evans Hala , Barnes James , Short Emma 
Published: July 2023

Background
Cybervictimization of people with long-term conditions is a disturbing phenomenon with a documented impact on health and well-being. These experiences are primarily examined using quantitative methods, focusing on children and young people. However, research centered on the cybervictimization of adults with chronic conditions is scarce, with limited qualitative input from the victims as experts in their own experiences.

Objective
This study aims to understand the impact of cybervictimization on the self-management of long-term conditions among adults with chronic conditions and disabilities in the United Kingdom.

Methods
This paper reports the findings from the qualitative phase of a phenomenologically informed mixed methods study. The biographical disruption concept was used to conceptualize the study. In-depth semistructured interviews were conducted with 13 participants with chronic conditions who experienced cybervictimization. A codebook was developed, and a zigzag approach to thematic analysis was used to define and refine themes. Ethical considerations and risk assessment were ongoing during the research process because of the sensitivity of the topic and cases of harassment.

Results
Cybervictimization has direct and indirect impacts on the self-management of chronic conditions. This impact was verified across 6 overarching themes that emerged from this study. First, biomedical events included overall health deterioration because of existing conditions, new diagnoses, and subjective physical complaints. Second, the impact on mental health was perceived through psychological consequences and psychiatric disorders that developed after or during this traumatic experience. Third, the multilevel impact theme focused on disrupting the strategies for coping with health conditions and involved unplanned changes to victims’ health management priorities. Fourth, the impact of complexity reflected the perceived uniqueness in each case, intersectionality, struggle to obtain formal support, and subsequent health complications. Fifth, social network involvement comprised the effects of social isolation, victim blaming, and deception. Finally, the disability discrimination theme focused on prejudice, issues on inclusion, and hostility in society, with subsequent effects on well-being.

Conclusions
People with long-term conditions experienced different forms of cybervictimization, all disruptive with various effects on health. Disability discrimination was a prominent finding to be further investigated. This paper reports the impact as themes to guide further research and practice, with the recognition that long-term conditions and impairments are not a homogeneous group. Despite the devastating consequences, there are positive points that strengthen potential interventions. Awareness-raising campaigns, training of support channels, and multidisciplinary research are recommended to tackle this issue and initiate change.
Data Quality in Health Research: Integrative Literature Review
Authors: Bernardi Filipe Andrade , Alves Domingos , Crepaldi Nathalia , Yamada Diego Bettiol , Lima Vinícius Costa , Rijo Rui 
Published: July 2023

Background
Decision-making and strategies to improve service delivery must be supported by reliable health data to generate consistent evidence on health status. The data quality management process must ensure the reliability of collected data. Consequently, various methodologies to improve the quality of services are applied in the health field. At the same time, scientific research is constantly evolving to improve data quality through better reproducibility and empowerment of researchers and offers patient groups tools for secured data sharing and privacy compliance.

Objective
Through an integrative literature review, the aim of this work was to identify and evaluate digital health technology interventions designed to support the conducting of health research based on data quality.

Methods
A search was conducted in 6 electronic scientific databases in January 2022: PubMed, SCOPUS, Web of Science, Institute of Electrical and Electronics Engineers Digital Library, Cumulative Index of Nursing and Allied Health Literature, and Latin American and Caribbean Health Sciences Literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist and flowchart were used to visualize the search strategy results in the databases.

Results
After analyzing and extracting the outcomes of interest, 33 papers were included in the review. The studies covered the period of 2017-2021 and were conducted in 22 countries. Key findings revealed variability and a lack of consensus in assessing data quality domains and metrics. Data quality factors included the research environment, application time, and development steps. Strategies for improving data quality involved using business intelligence models, statistical analyses, data mining techniques, and qualitative approaches.

Conclusions
The main barriers to health data quality are technical, motivational, economical, political, legal, ethical, organizational, human resources, and methodological. The data quality process and techniques, from precollection to gathering, postcollection, and analysis, are critical for the final result of a study or the quality of processes and decision-making in a health care organization. The findings highlight the need for standardized practices and collaborative efforts to enhance data quality in health research. Finally, context guides decisions regarding data quality strategies and techniques.

International Registered Report Identifier (IRRID)
RR2-10.1101/2022.05.31.22275804
Evaluation of Insulin Pump Infusion Sites in Type 1 Diabetes: The DERMIS Study
Authors: Kalus Andrea , Shinohara Michi M. , Wang Ruikang , Baran Jesica D. , Dong Xiaofu , Khakpour Dori , Lu Jie , Hirsch Irl B. 
Published: July 2023

OBJECTIVE
Continuous subcutaneous insulin infusion (CSII) for type 1 diabetes is increasing in use. Pump site failures are common, but little is known about skin changes from pump use. Using noninvasive optical coherence tomography (OCT), OCT angiography (OCTA), and skin biopsies, we evaluated skin changes from chronic insulin infusion.

RESEARCH DESIGN AND METHODS
In this cross-sectional study, OCT operating at a 1,310-nm central wavelength with a bandwidth of 100 nm was performed immediately before skin punch biopsies were collected at three sites: the current site, with the infusion set removed at time of OCT and biopsy; the recovery site, with the infusion set removed 3 days before biopsy; and the control site, which was never used for any insulin infusion or injection.

RESULTS
OCT and OCTA identified characteristics of increased inflammation and vessel density at pump sites compared with control sites. Histologic analysis of pump sites showed differences in skin architecture, including fibrosis, inflammation (including increased tissue eosinophils), and fat necrosis. Immunohistochemical staining showed differences between infusion and control sites regarding staining of ILGF-I and transforming growth factor-β3.

CONCLUSIONS
These findings support allergic sensitization as a potentially common reaction at CSII sites. The leading candidates causing this include insulin preservatives, plastic materials, and adhesive glue used in device manufacturing. The inflammatory response caused by these common allergic responses may result in tissue changes responsible for the infusion site failures seen frequently in clinical practice.
HRs bidrag til utvikling av organisatorisk resiliens i krisehåndtering
Authors: Thon Andreas N. , Gausdal Anne H. 
Published: July 2023

Organizations are increasingly likely to face crises in our time. When crises occur, organizations are expected to be prepared. This preparedness is in addition to crisis management itself and requires continuous development of various forms of plans, training, preparation, facilitation, management, organizational structures, resources and processes. This conceptual study looks at this broader picture by analyzing how human resource (HR) management can contribute to the ongoing development in these areas. The question we ask in this chapter is: ‘What organizational resilience capabilities for crisis management can HR develop?’ To answer this, we start with a literature study within organizational resilience. We continue with a literature study within human resource management relevant for crisis management and organizational resilience. Finally, we discuss how the HR function can contribute to developing resilience capabilities.
Our answer is that HR can contribute to ‘observation and identification’, ‘preparation’, ‘developing and implementing solutions’, ‘reflection and learning’ and ‘change’ capabilities. Furthermore, we found that HR research and literature have had insufficient focus on crisis management and organizational resilience. To develop organizational resilience HR should be focused on: activities that promote resource and coordination flexibility, real option theory and HR option analyses, aligning capability, creating workforce agility, social learning arenas and communities of practice. An organization’s knowledge base, which consists of both the starting point and end results of the development of capabilities, can also be developed through HR activities.
Fit for change? En kvalitativ studie av hvordan lederes fortolkning av uforutsigbare omgivelser påvirker deres handlingsrom og evne til å bygge kapasitet for strategisk endring
Authors: Rydland Monica , Lange Birthe Kåfjord 
Published: July 2023

In this chapter we explore how a leadership team in a Norwegian consultancy company interprets and handles strategic change during crises and other demanding situations. We explored how the leaders in this team make sense of uncertainty in the environment and how their interpretations influenced their managerial discretion and capacity for change in times of crisis. We followed the leadership group through three stages: T1: when the crisis hit, T2: calmer times, T3: the new normal, with new “crisis”.
We find that the leaders experienced complex environments, consisting of multiple and rapidly changing situations, perceived as demanding, and characterized as crises. We also find that leaders’ perception of their managerial discretion affects their ability to build capacity for change, that is to say, their ability to handle daily operations, strategic change, and crises or demanding situations. Our findings contribute to increased insight into how organizations can build capacity for implementing strategic change in unpredictable environments.
Upaya Meningkatkan Konsentrasi dan Kemampuan Motorik Halus dengan Penggunaan Permainan Edukatif Meronce Pada Anak Tunagrahita Sedang di Kelas I SLB
Authors: Suriadi Ni Made 
Published: July 2023

Anak tunagrahita sedang mengalami keterbatasan dalam aspek motorik halus diantaranya kesulitan untuk melakukan kegiatan sehari-hari misalnya kesulitan dalam meraih ataupun mengambil suatu benda, memegang benda dari mulai benda yang berukuran besar sampai terkecil. Penelitian ini bertujuan untuk menganalisis menganalisis peningkatan konsentrasi dan kemampuan motorik halus dengan penggunaan permainan edukatif meronce pada anak tunagrahita sedang siswa kelas 1 Di SLB. Jenis penelitian merupakan penelitian tindakan kelas. Subjek penelitian berjumlah 7 orang siswa yang terdiri atas 3 orang laki-laki dan 4 orang perempuan kelas I SLB. Pengumpulan data menggunakan metode observasi dan tes unjuk kerja. Teknik analisis data menggunakan analisis kuantitatif. Hasil penelitian menunjukkan tingkat konsentrasi pada siklus 1 terdapat 4 orang siswa berada pada kategori sedang dan 3 orag pada kategori rendah. Pada siklus 2 terdapat 7 orang siswa pada kategori sedang. Hasil kemampuan motori terdapat 1 orang siswa berada pada kategori tinggi, 4 orang pada kategori sedang dan 2 orag pada kategori rendah. Pada siklus 2 terdaat 1 orang siswa pada kategori stinggi dan 6 orang pada kategori sedang. Hasil tersebut menunjukkan penggunaan permainan edukatif meronce mampu meningkatkan konsentrasi dan motori halus pada siswa kelas 1 di SLB.
Model Pembelajaran Kooperatif Tipe Make a Match Untuk Meningkatkan Hasil Belajar Tematik Melalui Google Meet Pada Siswa Kelas II SD
Authors: Karmada Gede 
Published: July 2023

Saat proses pembelajaran guru masih dengan pola lama yaitu memberikan ceramah, tanya jawab dan pemberian tugas. Sehingga hasil belajar siswa menjadi rendah. Penelitian ini bertujuan untuk menganalisis model pembelajaran kooperatif tipe make a match untuk meningkatkan hasil belajar tematik melalui G-Meet pada siswa kelas II SD. Penelitian ini menggunakan jenis penelitian tindakan kelas. Subjek penelitian ini adalah siswa kelas II SD yang berjumlah 6 orang, terdiri dari 3 orang laki-laki dan 3 orang perempuan. Teknik pengumpulan data yang digunakan pada penelitian ini adalah metode tes. Data hasil belajar siswa dianalisis dengan menggunakan metode analisis deskriptif. Hasil penelitian menunjukkan bahwa penerapan model pembelajaran kooperatif tipe Make A Match dapat meningkatkan hasil belajar tematik pada siswa kelas II SD. Hal ini dibuktikan dengan peningkatkan rata-rata hasil belajar 61,66 pada hasil belajar prasiklus menjadi 67,5 pada siklus I, kemudian meningkat menjadi 75 pada siklus II. Sedangkan nilai daya serap siswa juga mengalami peningkatan dari 62% pada prasiklus meningkat menjadi 67% pada siklus I, kemudian meningkat menjadi 75% pada siklus II. Ketuntasan belajar juga mengalami peningkatan dari 33% pada hasil belajar prasiklus, naik menjadi 50% pada siklus I, kemudian meningkat menjadi 83% pada siklus II.