bluuebunny/crossref_metadata_2025_split huggingface dataset:
Psychological Outcomes of the COVID-19 Pandemic on People with Type
1 Diabetes Globally: A Scoping Review
Authors: Maizel Jennifer L. , Dixon Brittney N. , Walker Ashby F. 
Published: June 2022

Background:
People with type 1 diabetes (T1D) face heightened risks for morbidity and
mortality from the 2019 Coronavirus (COVID-19). They also have elevated risks for disparate psychological
outcomes during the COVID-19 pandemic, given their predisposition to mental health
disorders, including anxiety and depression, and skyrocketing rates of these conditions among the
general population.

Methods:
To investigate the psychological ramifications of the COVID-19 pandemic on people
with T1D globally, we conducted a scoping review of recent literature across eight online databases.
Articles were screened via a rigorous process, and data pertaining to psychological outcomes
were coded into thematic areas for analysis.

Results:
Forty articles presenting data from 27 countries and 14 categories of psychological outcomes
affecting people with T1D were included in this review. Psychological outcomes, in order
of most to least frequently identified, included: stress, anxiety, social factors, worry, distress, fear,
sleep habits, quality of life, depression, attitudes regarding COVID-19, other psychological issues,
mental health services utilization, burnout, and temperament. Recurring findings demonstrated significant
increases in the prevalence of mental health conditions, changes in sleeping habits, reductions
of social support, and extensive psychosocial concerns among people with T1D. Associations
between patients’ psychological issues and demographic characteristics, diabetes self-management
behaviors, glycemic control, and overall wellbeing were evident.

Conclusion:
During the COVID-19 pandemic, people with T1D experienced pervasive psychological
burdens. This review calls for further research examining the long-term impacts of the pandemic
and strengthens awareness of the need for interventions to offset psychological challenges
affecting people with T1D.
A Brief Atlas of Insulin
Authors: Ayan Esra , DeMirci Hasan 
Published: June 2022

Abstract:
Insulin is an essential factor for mammalian organisms: a regulator of glucose metabolism
and other key signaling pathways. Insulin is also a multifunctional hormone whose absence
can cause many diseases. Recombinant insulin is widely used in the treatment of diabetes. Understanding
insulin, biosimilars, and biobetters from a holistic perspective will help pharmacologically
user-friendly molecules design and develop personalized medicine-oriented therapeutic strategies
for diabetes. Additionally, it helps to understand the underlying mechanism of other insulindependent
metabolic disorders. The purpose of this atlas is to review insulin from a biotechnological,
basic science, and clinical perspective, explain nearly all insulin-related disorders and their underlying
molecular mechanisms, explore exogenous/recombinant production strategies of patented
and research-level insulin/analogs, and highlight their mechanism of action from a structural perspective.
Combined with computational analysis, comparisons of insulin and analogs also provide
novel information about the structural dynamics of insulin.
Three Generation β-Blockers for Atrial Fibrillation Treatment
Authors: Francisco Arthur C. , Awata Wanessa M. C. , Lima Thauann S. , Potje Simone R. , Prohaska Clare C. , Ceron Carla S. , Vale Gabriel T. do 
Published: June 2022

Abstract:
The efficiency of blood flowing from the heart depends on its electrical properties. Myocardial
electrical activity is associated with generating cardiac action potentials in isolated myocardial
cells and their coordinated propagation, which are mediated by gap junctions. Atrial fibrillation
(AF) is a common cardiac arrhythmia which causes an aggressive disturbance in cardiac
electromechanical function. Moreover, AF increases the risk of stroke and mortality and is a major
cause of death. The mechanisms underlying AF involve electrophysiological changes in ion channel
expression and function. β-blockers may be useful in patients with chronic AF or in preventing
postoperative AF in subjects undergoing coronary artery bypass grafting (CABG) or other types of
surgery. The reduction in heart rate induced by β1-adrenergic receptor antagonists may be associated
with the beneficial effect of this drug class. Second generation beta-blockers may be considered
superior to the first generation due to their selectivity to the β1 receptor as well as avoiding
pulmonary or metabolic adverse effects. Third generation beta-blockers may be considered a great
option for their vasodilation and antioxidant properties. There is also a new β-blocker, named
landilol that also results on reduced risk of post operative AF without adverse effects and its use
has been increasing in clinical trials.
Synthesis, Molecular docking, Antioxidant, Anti-TB, and Potent MCF-7
Anticancer Studies of Novel Aryl-carbohydrazide Analogues
Authors: N. Mali Suraj , R. Thorat Bapu , R. Wagh Rahul , S. Yamgar Ramesh 
Published: June 2022

Background:
Hydrazide-hydrazone based compounds are reported for their wider pharmacological potentials.

Methods:
In present work, we synthesized 10 new Schiff based-aryl-carbohydrazide (3a-3e) and (4a-4e), analogues and characterized further using standard spectroscopic techniques including NMR, mass and FT-IR. Moreover, all synthesized compounds were subjected for in-vitro anti-TB, anti-microbial, antioxidant and anti-MCF-7 cell line studies.

Results:
Our results suggested that compounds are having strong potencies against studied microbial species (such as 3a, 3b and 3c, (anti-TB activity: MIC value of 1.6 µg/mL; 3c:80.23 % inhibition at 200 µg/mL against MCF-7). Synthesized compounds (3a-3e) and (4a-4e) were also retained with higher docking scores than standards like ciprofloxacin; when studied for their molecular docking analysis against common anti-bacterial (pdb id:1d7u; 3a: -4.909 kcal/mol), common anti-fungal (pdb id:1ai9; 3b: -6.122 kcal/mol) and enoyl acyl reductase enzyme (pdb id:2x22; 3c: docking score: -4.194 kcal/mol)) targets.

Conclusion:
Thus, considering promising results for Schiff based-aryl-carbohydrazides, these compounds may emerge as new class for the development of potent anti-microbial agents in near future.
Pralatrexate for Peripheral T-Cell Lymphoma (PTCL): Chance Only Supports The
Prepared Mind
Authors: Altınay Serdar , Kural Alev , Özmen Aykut , Tural Deniz , Tutar Yusuf 
Published: June 2022

Background:
Due to their primary effects on DNA synthesis, antimetabolites are most effective against
actively dividing cells and are significantly specific to the cell cycle phase. Pralatrexate (PDX), an antifolate metabolite
designed to accumulate in cancer cells, was the first new agent approved by the US Food and Drug Administration for
the treatment of resistant/recurrent peripheral T-cell lymphomas. PDX was a drug that is frequently used not only for
PTCL, but also for cutaneous T-cell lymphoma (CTCL), extranodal natural killer (NK) / T-cell lymphoma.

Objective:
This article reviews Pralatrexate's history, pharmacokinetics, clinical phase studies including phases I, II and
III, types of cancers it is effective on, drug side effects, inhibition mechanism and even its use in the treatment of other
cancers with innovative methods, including its antiviral effect against SARS-CoV-2 infection.

Methods:
A comprehensive internet-based research was planned, covering all published and unpublished studies on the
subject. We conducted this review in accordance with Preferred Reporting Items for systematic reviews and metaanalysis
(PRISMA-P), and Cochrane Collaboration reporting items for systematic reviews and meta-analysis. The
results of the studies in the articles were recorded to include all phase studies.

Results:
Pralatrexate was structurally designed to have enhanced cellular transport via RFC (reduced folate carrier
type) and be subject to more polyglutamation compared to methotrexate. The enhanced polyglutamylation ability of
pralatrexate is associated with increased tumor cell death and ultimately improved anticancer activity. Pralatrexate is
considered a promising drug for patients with recurrent and treatment-resistant PTCL with a good survival advantage.
At the same time, it is an antifolate agent with a significant advantage over methotrexate as it does not cause myelosuppression.

Conclusion:
While there are manageable side effects such as thrombocytopenia, neutropenia, and mucositis, it is critical
to explore new approaches, targeted agents, novel cellular therapies, and immunotherapies to determine optimal
pretreatment in the rare but heterogeneous disease PTCL, and future studies and experienced haematologists are needed.
Herbal Nanoparticles: A New Perspective of Drug Delivery System- A
Review
Authors: Goel Anjana , Sharma Ayushi , Kulshrestha Sunanda 
Published: June 2022

Abstract:
The nanoparticle is one of the most intensively studied areas in science ranging from engineering to medical fields and has been a center of attraction that is explored to find new and promising dimensions for its use. These nanoparticles have obtained eminence because of their potential efficacy, shape, and size. In the field of nanoscience, the use of natural resources is an emerging topic of interest that has been taken into consideration due to the presence of a reservoir of a priceless wellspring of novel and new chemical entities that have a therapeutic effect. The system has found its space in the treatment of many diseases, including Diabetes, Neurological disorders, Cardiovascular Disorders, and even cancer. At present, cancer is one of the most common causes of death all over the world. Various drugs are used to treat numerous types of cancers, but at the same time, they are found to be harmful to the patient and produce several side effects. To meet the gap, herbal nanoparticles have been studied and are found to be non-hazardous and environmentally friendly. Herbal nanoparticles are synthesized to target various biological pathways that induce cancer and pieces of evidence have shown comparable efficacy like other drugs that have been used conventionally for cancer treatment. The review highlights the mechanism of action and prospects of the nanotechnological approach using phytochemicals for the treatment of cancer and will help to bridge the gap between herbal nanotechnology and current knowledge related to it.
Ethno-Botanical and Phytopharmacological Study of Limnophila rugosa
Roth. Merr. (Scrophulariaceae): Mini Review
Authors: Hota Raghunandan , Kumar Nanda Bikash , Behera Biswaranjan , Kumar Dalai Manoj 
Published: June 2022

Background:
Limnophila rugosa (Scrophulariaceae) is an aquatic and perennial herb finds its natural habitats in ponds, rivers, lakes as well as marshy lands of India. The traditional practitioners of Bolangir and Bargarh District of Odisha use this plant as a source of Bhringaraj. Therapeutically, it is used as diuretic, stomachic, digestive tonic and as a hair perfume, treatment of elephantiasis, diarrhoea, dysentery, dyspepsia and urinary burning.

Objective:
The present study was focused to provide the information regarding its traditional uses, compounds identified from different parts and essential oil; and the pharmacological activities of the reported compounds, which will bring the scope for future research.

Methods:
Extensive literature survey was carried out up to 2021 in Google scholar, Web of science, scopus, pub med, science direct, springer, Taylor and Francis using key words pharmacognostical, phytochemical and pharmacological aspect of L. rugosa.

Result:
The study revealed diverse chemical compounds; flavonoids, terpenoids, amino acids, alcohol, phenol, aldehyde, ketone, carboxylic acid and ether. 5,7-Dihydroxy-6,8,4'-trimethoxyflavone (Nevadensin), 5-Hydroxy-6,7,4'-trimethoxyflavone (Salvigenin), Betulin, betulinic acid, caryophyllene, cis-anethole, methylchavicol were found as major compounds. Pharmacological activities such as antimicrobial, anti-inflammatory, diuretic and hypotensive was reported. The identified compounds exhibited several pharmacological activities including antibacterial, antimicrobial, antifungal, anxiolytic, anti-inflammatory, analgesic, antioxidant, anti-tubercular, anti-tumour, anti-cancer, immunomodulatory, hepatoprotective, antiulcer, antidiabetic, antinociceptive, antimalarial, antiviral, anti-hyperlipidaemic, anti HIV, insecticidal, herbicidal, antifeedant, anti-coagulant, gastro-protective, antihelmintic.

Conclusion:
As, most of the compounds exhibited significant antimicrobial, antibacterial and antifungal activity so; a novel dosage form can be prepared from the essential oil of L. rugosa for antimicrobial activity.
Systematic Review of Machine Learning-Based Open-Source Software
Maintenance Effort Estimation
Authors: Miloudi Chaymae , Cheikhi Laila , Abran Alain 
Published: June 2022

Background:
Software maintenance is known as a laborious activity in the software
lifecycle and is often considered more expensive than other activities. Open-Source Software
(OSS) has gained considerable acceptance in the industry recently, and the Maintenance Effort
Estimation (MEE) of such software has emerged as an important research topic. In this context,
researchers have conducted a number of open-source software maintenance effort estimation (OMEE)
studies based on statistical as well as machine learning techniques for better estimation.

Objective:
The objective of this study is to perform a systematic literature review (SLR) to
analyze and summarize the empirical evidence of O-MEE ML techniques in current research
through a set of five Research Questions (RQs) related to several criteria (e.g. data pre-processing
tasks, data mining tasks, tuning parameter methods, accuracy criteria and statistical tests, as well
as ML techniques reported in the literature that outperformed).

Method:
We performed a systematic literature review of 36 primary empirical studies published
from 2000 to June 2020, selected based on an automated search of six digital databases.

Results:
The findings show that Bayesian networks, decision tree, support vector machines and
instance-based reasoning were the ML techniques most used; few studies opted for ensemble or
hybrid techniques. Researchers have paid less attention to O-MEE data pre-processing in terms of
feature selection, methods that handle missing values and imbalanced datasets, and tuning
parameters of ML techniques. Classification data mining is the task most addressed using
different accuracy criteria such as Precision, Recall, and Accuracy, as well as Wilcoxon and
Mann-Whitney statistical tests.

Conclusion:
This SLR identifies a number of gaps in the current research and suggests areas for
further investigation. For instance, since OSS includes different data source formats, researchers
should pay more attention to data pre-processing and develop new models using ensemble
techniques since they have proved to perform better.
Patient Perspectives on Using a Smartphone App to Support Home-Based Exercise During Physical Therapy Treatment: Qualitative Study
Authors: Arensman Remco , Kloek Corelien , Pisters Martijn , Koppenaal Tjarco , Ostelo Raymond , Veenhof Cindy 
Published: June 2022

Background
Home-based exercise is an important part of physical therapy treatment for patients with low back pain. However, treatment effectiveness depends heavily on patient adherence to home-based exercise recommendations. Smartphone apps designed to support home-based exercise have the potential to support adherence to exercise recommendations and possibly improve treatment effects. A better understanding of patient perspectives regarding the use of smartphone apps to support home-based exercise during physical therapy treatment can assist physical therapists with optimal use and implementation of these apps in clinical practice.

Objective
The aim of this study was to investigate patient perspectives on the acceptability, satisfaction, and performance of a smartphone app to support home-based exercise following recommendations from a physical therapist.

Methods
Using an interpretivist phenomenology approach, 9 patients (4 males and 5 females; aged 20-71 years) with nonspecific low back pain recruited from 2 primary care physical therapy practices were interviewed within 2 weeks after treatment ended. An interview guide was used for the interviews to ensure that different aspects of the patients’ perspectives were discussed. The Physitrack smartphone app was used to support home-based exercise as part of treatment for all patients. Data were analyzed using the “Framework Method” to assist with interpretation of the data.

Results
Data analysis revealed 11 categories distributed among the 3 themes “acceptability,” “satisfaction,” and “performance.” Patients were willing to accept the app as part of treatment when it was easy to use, when it benefited the patient, and when the physical therapist instructed the patient in its use. Satisfaction with the app was determined by users’ perceived support from the app when exercising at home and the perceived increase in adherence. The video and text instructions, reminder functions, and self-monitor functions were considered the most important aspects for performance during treatment. The patients did not view the Physitrack app as a replacement for the physical therapist and relied on their therapist for instructions and support when needed.

Conclusions
Patients who use an app to support home-based exercise as part of treatment are accepting of the app when it is easy to use, when it benefits the patient, and when the therapist instructs the patient in its use. Physical therapists using an app to support home-based exercise can use the findings from this study to effectively support their patients when exercising at home during treatment.
HIV Digital Vaccine Strategy: Proposal for Applying Blockchain in Preventing the Spread of HIV
Authors: Liu Jia 
Published: June 2022

Background
The HIV epidemic imposes a heavy burden on societal development. Protection of susceptible populations is the most feasible method for eliminating the spread of HIV. In the absence of a biological vaccine, the definitive solution is enabling susceptible populations to recognize and avoid high-risk sexual behavior.

Objective
The objective of this study is to use specific technologies and strategies to establish a system by which high-HIV-risk individuals can determine the HIV infection status of one another anonymously, conveniently, and credibly.

Methods
This study proposes an HIV digital vaccine (HDV) strategy, a decentralized application (Dapp) based on blockchain for use by individuals with a high risk of HIV and accredited testing agencies (ATAs). Following testing, only the HIV-negative results (or linked information) are uploaded to the blockchain, which results in high-risk individuals being able to determine the HIV-negative status of each other anonymously, conveniently, and credibly.

Results
Future work includes the following: (1) a survey of the willingness to use Dapps among high-HIV-risk populations, (2) a larger framework containing both HDV and people living with HIV (PLH) and discussing the influence of HDV on PLH and its possible solutions, and (3) coordinating with the blockchain development team, ATAs, community-based organizations, and third-party organizations to raise funds, develop the Dapp, formulate detailed plans, and publicize and promote it. The exact timeline for achieving these objectives cannot be determined at present.

Conclusions
The HDV strategy may reduce the occurrence of high-risk sexual behavior and effectively protect susceptible populations; combined with current strategies, it is a promising solution to prevent the spread of HIV. The included concepts of decentralized surveillance and surveillance as intervention may spark a change in current infectious disease prevention and control modes to introduce beneficial innovations in public health systems globally.

International Registered Report Identifier (IRRID)
PRR1-10.2196/37133
A Constant Market Share Analysis of Indonesia's Fishery Export
Authors: Aryudiawan Candra , Suadi Suadi 
Published: June 2022

Despite its importance in global fishery production as the world's second-largest producer, Indonesia is not one of the top ten fish exporting countries. This study uses constant market share analysis to examine Indonesia's fishery export performance. The data was collected from the United Nations International Trade Statistics Database and covered Indonesia's fishery exports from 1999 to 2019. Indonesian fishery products are classified using four-digit Harmonized System codes ranging from 0301 to 0308. Export growth is decomposed into four components: the global market, commodity compositions, market distributions, and competitiveness effects. The results indicate that the significant growth of the global fishery trade was the primary driver of Indonesia's fishery exports during the period. Indonesia is directing a significant portion of its exports to the most dynamic destination markets, such as China and ASEAN countries. The commodity composition and competitiveness effects were negative and significant throughout the period. Indonesia's integration into the global economy through structural adjustment programs, a liberalization strategy, WTO accession, and participation in several trade agreements, but these policies have had little impact on competitiveness. Indonesia's share of the global fish trade has declined from 4.11 percent in 1999 to 2.75 percent in 2019. Over the last 20 years, Indonesia's market share has gone down, which shows its lack of competitiveness.
Efektifitas Pemberian Edukasi Pengetahuan Penanggulangan Bencana pada Pelajar SMA Negeri 07 Kabupaten Sarolangun
Authors: Elfina Titi Dwi , Subandi Andi , Rudini Dini 
Published: June 2022

The number of disaster events cannot be separated from the role of the community. This study aims to determine the value of students' pretest and posttest knowledge in flood and landslide disaster management and analyze the provision of education after and after providing disaster management education. The method used is quasi-experimental with a pretest and posttest with control approach. The research was conducted by giving different treatment to two groups. This research was conducted at SMA Negeri 07, Sarolangun Regency, using class XII IPA II. The sample used in 1 science class was 33 students. Sampling using simple random sampling method. The results show that there is a significant difference between pretest and posttest knowledge of disaster management in floods and landslides in Sarolangun district. The value obtained in the pretest the average level of knowledge is 64.64 and the protest value is the average level of knowledge is 81.32. The results of the t-test in the first stage, namely the pretest, obtained a sing value (2 tailed) of 0.00, namely <0.05, with Thus, it can be concluded that there is a significant (significant) difference in the results of the science class pretest, the results of the t-test value at the posttest stage of the sing value (2 tailed as 0.111 that is > 0.05. Thus it can be concluded that there is no significant difference (significant) between posttest and pretest results. Value pretest 64.64, with the result the percentage of > 70% can be said to be less,