bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of VD/VDR Signaling Pathway in Autoimmune Skin Diseases
Authors: Zeng Yilan , Yang Shengbo , Liu Yuanhong , Tang Ziting , Zong Xiule , Li Xuemei , Wang Dan 
Published: November 2022

Background:
Immune-related cutaneous diseases are a series of disorders, such as alopecia
areata, psoriasis, atopic dermatitis, systemic lupus erythematosus and autoimmune bullous dermatoses.
Vitamin D is a fat-soluble vitamin, which is known for its classical pleiotropic effect. Recent
studies have found that vitamin D, after catalyzed into its biologically active form [1,25(OH) 2D],
correlated with its receptor, vitamin D receptor, plays a vital role in multiple pathophysiological processes,
including immune-related dermatoses. This review mainly summarizes evidence on the role of
vitamin D/vitamin D receptor in immune-related cutaneous diseases and the potential therapeutic targets
for skin disorders.

Methods:
We have carried out a comprehensive literature search in PubMed and Google Scholar databases
using keywords like “vitamin D”, “vitamin D receptor”, “immune”, “psoriasis”, “atopic dermatitis”,
“skin”, “systemic lupus erythematosus”, “alopecia areata” and “autoimmune bullous dermatoses”.
Only articles related to the topic were included in this review. Conference, patent, graduation
thesis and articles without available full text were excluded.

Results:
Vitamin D/vitamin D receptor is critical for skin in regulating the proliferation and differentiation
of keratinocytes, keeping the integrity of the skin barrier as well as maintaining the homeostasis
of the “skin's immune system”. Vitamin D deficiency/vitamin D receptor mutations are potential
risk factors for some immune-related cutaneous diseases.

Conclusion:
Vitamin D is a pleiotropic hormone, which is important in the homeostasis of human
body. Many studies have revealed vitamin D deficiency in several skin diseases. Thus, vitamin D supplementation
may be a useful therapeutic option for immune-related skin diseases.
Surface Functionalization of Extracellular Vesicles with Nucleic Acids
towards Biomedical Applications
Authors: Xu Rui , Tang Qian , Ying Yiwen , Han Da 
Published: November 2022

Abstract:
Extracellular vesicles (EVs) are lipid bilayer-delimited particles secreted by cells and are regarded as a promising class of nanocarriers for biomedical applications such as disease diagnosis, drug delivery, and immunomodulation, as they carry biomarkers from the parental cells and can al-so transport diverse cargo molecules between cells. Surface functionalization of EVs can help ob-tain detectable signals for their quantification and also add various properties for EV-based deliv-ery. Aptamers are specific oligonucleotides selected as artificial antibodies that could serve as ‘cruise missiles’ to target EVs for diagnosis or as navigators to bring EVs to lesions for treatment. DNA logic devices or nanostructures based on aptamers are intelligent designs to endow EVs with additional features, such as multi-target disease diagnosis in one pot and promoting retention of EVs in complex disease microenvironments. Oligonucleotides or DNA nanostructures composed of nat-ural nucleic acids can be easily degraded by nuclease in the biological sample which limits their ap-plications. Thus, the oligonucleotides composed of artificial nucleic acids which are synthesized against degradation would be a potential strategy to improve their stability in vitro or in vivo. Here-in, we review the methods for surface functionalization of EVs by nucleic acids and highlight their applications in quantification and targeted delivery towards disease diagnosis and therapy.
Zingiber officinale, Phyllanthus emblica, Cinnamomum verum, and Curcuma longa to Prevent Type 2 Diabetes: An Integrative Review
Authors: Wijewardhana Uththara , Jayasinghe Madhura , Wijesekara Isuru , Ranaweera K.K.D.S. 
Published: November 2022

Abstract:Diabetes mellitus has become a global pandemic progressively rising and affecting almost every household in all world regions. Diet is a significant root cause of type II diabetes; thus, the significance of dietary interventions in preventing and managing the disease cannot be neglected. Lowering the glycemic impact of diet is an alternative way of managing type II diabetes while improving insulin sensitivity. Medicinal plants are rich in therapeutic phytochemicals which possess hypoglycemic properties. Therefore, it could be speculated that the glycemic impact of diet can be reduced by adding hypoglycemic plant ingredients without altering the sensory properties of food. The main aim of this review is to discuss dietary interventions to manage diabetes and summarize available information on the hypoglycemic properties of four prime herbs of Asian origin. This article collected, tabulated, and summarized groundbreaking reveals from promising studies. This integrative review provides information on the hypoglycemic properties of ginger, Indian gooseberry, cinnamon, and turmeric and discusses the possibility of those herbs reducing the glycemic impact of a diet once incorporated. Further research should be done regarding the incorporation of these herbs successfully into a regular diet.
Analytical Methods for the Determination of Atypical Antipsychotic Drugs -
An Update
Authors: Suvarna Vasanti , Raut Adishri 
Published: November 2022

Abstract:
Atypical antipsychotics have gained incredible attention over the last decade and are widely
prescribed for short-term and chronic treatment of various psychopathological diseases, including schizophrenia,
mania, delirium, bipolar disorder, depression, autism spectrum disorder, and affective disorders.
Due to their better clinical profile and therapeutic benefits, atypical antipsychotics have become a better
choice for psychopathological treatment and management. However, their usage is associated with peripheral
side effects and metabolic diseases impacting the quality of life of patients. In the sight of these
circumstances, strategic development of analytical methods to isolate atypical antipsychotics from a variety
of formulations and biological samples and identify and quantify them with great sensitivity and
accuracy is of great importance in clinical and forensic settings. In the present review, we have summarized
and discussed various analytical methods reported in the literature over the last decade in various
formulations and biological samples, highlighting analytical trends to the analysts in the field of atypical
antipsychotics.
Mining Ports in Perception and Sustainability
Authors: Delly Jenny , Mizuno Kosuke , Gozan Misri , Soesilo Tri Edhi Budhi 
Published: November 2022

Background:
Mining port operation is very complex accompanied by sources of pollution of various kinds, impact and characteristics of different pollution so that the analysis of sea water pollution due to mining port activities have become indispensable.

Aim:
The purpose of this study was to measure the perception of the people living around the mining port about mining port activities and the perceived impact (pollution, health, economy, security and comfort) and to compare it with the results of measuring sea water quality.

Methods:
This study examines public perceptions of the influence of the existence of a mining port on seawater pollution, health, economy, security and perceived comfort and compares it with the results of inspections of heavy metal content in seawater in residential areas very close to mining ports. The method used is linear regression with T test, sampling in three different places, examining the properties of heavy metals in seawater.

Result:
There is a difference in behavior or response between the people of Pomala and Morowali in giving approval or perception of the existence and impact of the mining port. Positive statements from respondents regarding pollution related to the existence of mining ports 63.2%. Pollution that occurs due to the presence of the port creates psychological anxiety that will have an impact on public health and disrupt activities around the port (65.8%). The content of heavy metals (mercury, cadmium, lead and zinc) in seawater in residential areas exceeds the quality standards set by the government.

Conclusion:
The quality of sea water around community settlements located closest to the mining port has decreased, this is due to the activities of mining ports, mining and people living in the area.
Characteristics and Patterns of Commodities Transport Drivers on the Pantura Highway, Java Island with Clustering Analysis
Authors: Arifin Muhammad Zainul , Yulfadli Zony , Nafis Moch. Abdillah 
Published: November 2022

Introduction:
The movement patterns of commodities transport drivers are useful in determining the optimization policy of other vehicle paths. One of the critical parameters in determining the optimal path represents the determination of a dense transportation route on the Pantura Highway. Pantura obtains saturation due to the vehicle loads. This saturation is caused by increasing fuel subsidies, increasing air and noise pollution, congestion, and accident costs.

Method:
This study aims to analyze the patterns of commodities transportation on the Pantura Highway of Java, which can be diverted to other preferred modes of transportation. The objects of this study are container trucks, which represent a mode of commodities transportation. The modes of transportation could be diverted to several alternatives, such as container ships and trains to progressively reduce road saturation.

Result:
As a consequence, the saturation could be minimized. Optimizing the patterns of movement of commodities transportation could use the k-prototypes algorithm to classify freight transportation on Pantura based on the similarity of the characteristics in terms of ten parameters.

Conclusion:
Based on the optimization results, there were three clustering, including the transportation of commodities with a distance of less than 200 km where it was difficult to transfer to other modes of transportation, commodities transportation with a distance of 200-600 km where it could be considered for policies related to the transportation of commodities that were difficult to rot, and the commodities transportation over a distance of more than 600 km where it could a bit also considered for perishable commodities.
Projecting the Impact of New Public Transport Networks on Mode Shift
Authors: Ryall Richard , Sullivan-Kilgour Matthew 
Published: November 2022

Background:
Although many studies have identified the key factors influencing travel mode, they have typically centred around survey data, which has several limitations. In this research, actual transport data (GPS) has been provided by Google Environment Insights Explorer (EIE) for 169 municipalities in Australia across 2018 and 2019.

Objective:
A key outcome of this paper is to project the independent impact of new public transport networks (rail, bus and tram) on mode shift away from vehicles for each municipality and estimate the total distance travelled.

Methods:
This study uses a combination of linear regression and logit transformations to predict the proportion of automobile transport relative to all other transport modes.

Results:
The results suggest that South Australia would benefit from a metropolitan northeast rail line, New South Wales would benefit from a metropolitan southwest tram line, and Victoria would benefit from a metropolitan southeast bus service.

Conclusion:
Although the analysis is somewhat crude, it utilises open-access data and thus could be easily replicated for any country globally, which could be greatly beneficial, especially for countries with low socio-demographic backgrounds.
A Rare PTPN11 Mutation in a Patient with Juvenile Myelomonocytic
Leukemia: A Case Report
Authors: Rezaei Nima , Khanmohammadi Shaghayegh , Zoghi Samaneh , Rayzan Elham , Shahkarami Sepideh , Jimenez Heredia Raul , Frohne Alexandra , Seyedpour Simin , Boztug Kaan 
Published: November 2022

Background:
Juvenile myelomonocytic leukemia (JMML) is a rare childhood disease
characterized by hepatosplenomegaly, monocytosis, anemia, increased white blood cell
count, thrombocytopenia, skin infiltration, and elevated fetal hemoglobin. Mutation in specific
genes, including KRAS, NRAS, PTPN11, and NF1, can lead to the development of JMML.

Case Presentation:
A two-year-old boy with a history of inguinal abscess at the age of 12
months and surgery due to infectious lymphadenitis was referred to the hospital. His parents
also reported a history of oral candidiasis, recurrent otitis media, and lymphadenopathy in
the patient. The physical examination showed splenomegaly, macular rash, lymphadenopathy
in the neck region, and rashes in the inguinal region and on the hands and feet. Laboratory
and flow cytometry data showed lymphocytosis, low hemoglobin, thrombocytopenia,
monocytosis, eosinophilia, and a shift to the left in the peripheral blood. The bone marrow
aspiration showed a cellular marrow with myeloid hyperplasia. Whole-exome sequencing
revealed a rare heterozygous ENST00000351677.2:c.1508G>C, p.Gly503Ala variant in
PTPN11. The patient was diagnosed with JMML but, unfortunately, passed away.

Conclusion:
We report a rare heterozygous mutation in the PTPN11 gene in a two-year-old
boy diagnosed with JMML. This uncommon mutation should be considered in the mutational
screening protocol of JMML. Management of JMML with RAS pathway targeted
therapy may also have promising results and needs further investigations.
Cutting Edge Techniques of Adaptive Machine Learning for Image Processing and Computer Vision
Authors: Sasikumar P. , Saravanan T. 
Published: November 2022

Computers, systems, applications, and technology, in general, are becoming
more commonly used, advanced, scalable, and thus effective in modern times. Because
of its widespread use, it undergoes various advancements on a regular basis. A fastpaced
life is also associated with modern times. This way of life necessitates that our
systems behave similarly. Adaptive Machine Learning (AML) can do things that
conventional machine learning cannot. It will easily adjust to new information and
determine the significance of that information. Adaptive machine learning uses a
variety of data collection, grouping, and analysis methods due to its single-channeled
structure. It gathers, analyses, and learns from the information. That is why it is
adaptive: as long as new data is presented, the system can learn and update. This
single-channeled device acts on any piece of input it receives in order to improve
potential forecasts and outcomes. Furthermore, since the entire process happens in realtime,
it can immediately adjust to new actions. High efficiency and impeccably precise
accuracy are two of AML's main advantages. The system does not become outdated or
redundant because it is constantly running in real-time. So, incorporating the three core
concepts of agility, strength, and efficiency better explains AML.
Agility helps systems to respond rapidly and without hesitation. The systems achieve
new levels of proficiency and accuracy as a result of their power, and they can find new
ways to operate flawlessly at lower costs as a result of their performance. This chapter
covers the preparation, regularisation, and structure of deep neural networks such as
convolutional and generative adversarial networks. New information in the
reinforcement learning chapter includes a description of t-SNE, a standard
dimensionality reduction approach, as well as multilayer perceptrons on auto encoders
and the word2vec network. As a consequence, these suggestions will assist readers in
applying what they have learned.
Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App
Authors: Wahyudi Irfan , Utomo Chandra Prasetyo , Djauzi Samsuridjal , Fathurahman Muhamad , Situmorang Gerhard Reinaldi , Rodjani Arry , Yonathan Kevin , Santoso Budi 
Published: November 2022

Background
Hypospadias remains the most prevalent congenital abnormality in boys worldwide. However, the limited infrastructure and number of pediatric urologists capable of diagnosing and managing the condition hinder the management of hypospadias in Indonesia. The use of artificial intelligence and image recognition is thought to be beneficial in improving the management of hypospadias cases in Indonesia.

Objective
We aim to develop and validate a digital pattern recognition system and a mobile app based on an artificial neural network to determine various parameters of hypospadias.

Methods
Hypospadias and normal penis images from an age-matched database will be used to train the artificial neural network. Images of 3 aspects of the penis (ventral, dorsal, and lateral aspects, which include the glans, shaft, and scrotum) will be taken from each participant. The images will be labeled with the following hypospadias parameters: hypospadias status, meatal location, meatal shape, the quality of the urethral plate, glans diameter, and glans shape. The data will be uploaded to train the image recognition model. Intrarater and interrater analyses will be performed, using the test images provided to the algorithm.

Results
Our study is at the protocol development stage. A preliminary study regarding the system’s development and feasibility will start in December 2022. The results of our study are expected to be available by the end of 2023.

Conclusions
A digital pattern recognition system using an artificial neural network will be developed and designed to improve the diagnosis and management of patients with hypospadias, especially those residing in regions with limited infrastructure and health personnel.

International Registered Report Identifier (IRRID)
PRR1-10.2196/42853
Pola Argumentasi dalam Karya Ilmiah Mahasiswa
Authors: Priyanto Priyanto , Wiryotinoyo Mujiyono , Harjono Hary Soedarto 
Published: November 2022

Abstrak
Penelitian ini bertujuan untuk menganalisis pola argumen ilmiah dalam skripsi mahasiswa. Aargumen ilmiah merupakan hasil pemikiran mahasiswa yang dituliskan ke dalam bentuk paragraf argumentasi di dalam skripsi. Latar belakang penelitian menjadi fokus penelitian ini. Metode dalam penelitian ini adalah kualitatif dengan pendekatan analisis isi. Data dalam penelitian ini adalah argumen dalam tulisan yang bersumber dari skripsi mahasiswa. Analisis argumen menggunakan teori argumen Toulmin. Hasil analisis menunjukkan bahwa argumen mahasiswa terdiri dari elemen (1) pernyataan posisi (claim), (2) data (grounds), dan (3) jaminan (warrants). Hal ini menujukkan perlu adanya pemahaman dalam menulis argumen ilmiah.

Kata kunci: pola argumen, argumen ilmiah.

Abstract
This study aims to analyze the pattern of scientific arguments in student thesis. Scientific arguments are the results of students' thoughts which are written in the form of argumentative paragraphs in the thesis. The research background is the focus of this research. The method in this research is qualitative with content analysis approach. The data in this study are arguments in writing that come from students' thesis. The argument analysis uses Toulmin's argument theory. The results of the analysis show that the students' arguments consist of elements (1) position statements (claims), (2) data (grounds), and (3) warrants. This shows the need for understanding in writing scientific arguments.

Key: argument pattern, scientific argument.
Нечіткі множини другого роду
Authors: Шаркаді М. М. 
Published: November 2022

Сучасні інформаційні системи широко впроваджуються в сферу управління в соціально-економічних системах, як правило, використовують експертні знання, накопичені в різних сферах людської діяльності, що призводить до різного роду невизначеностей. При плануванні нових проектів аналітики стикаються з проблемою невизначеності, яка для кожної сфери проявляється по-різному. У загальному випадку, невизначеність — нестача впевненості, стан наявності обмежених знань, де неможливо точно описати майбутній результат або наявність великого числа можливих результатів. Побудова моделей прийняття рішень для задач із погано формалізованою інформацією можлива за допомогою використання теорії нечітких множин та побудови нечітких логічних систем. Засобом для вирішення вище описаних проблем можуть виступити нечіткі множини другого порядку, які і будуть більш детально описані в цій статті, оскільки введення нечіткості у функцію належності дозволяє наблизити нечітку модель до людського мислення та сприйняття.
Bacterial Superinfections in Covid-19: Circulating Strains and Outcome
Authors: Raluca Mihai , Mihaela-Mariana Mavrodin , Claudia Cambrea Simona 
Published: November 2022

Abstract
Introduction: The COVID-19 pandemic caused by the new coronavirus has led to enormous pressure on health systems around the world, with an increase in the number of hospitalizations for pneumonia with a higher incidence of healthcare-associated infections (1).
Material and Method: We performed a retrospective analysis of 40 cases hospitalized in the first pandemic wave between March 2020-May 2020, addmited in the Intensive Care Unit of the Clinical Hospital for Infectious Diseases Constanta, including patients with a diagnosis of SARS-CoV-2 infection and Bacterial superinfection. Multiple parameters were analysed: clinical, biological, bacterial culture results, resistance profile of isolated strains, as well as patient’s evolution.
Results and Conclusions: In terms of patient profile, the average age was 62.3 years, with the male sex being the majority represented by a number of 30 cases (75%). All patients had associated comorbidities. The clinical picture presented by the patients was characteristic of severe forms of infection, with respiratory failure.
The observed bio-humoral changes characteristic of bacterial superinfections were found in all patients, leukocytosis with marked neutrophilia, significant biological inflammatory syndrome and positive procalcitonin.
During the period analysed we observed a significant increase in carbapenem-resistant strains. The resistant strains were represented by Klebsiella Pneumoniae found in 35 samples (54%), Acinetobacter Buamanni was isolated in 15 culture samples (23%). The antibiotic regimen used consisted of a combination of 2 or 3 classes of antibiotics depending on the resistance profile, monotherapy is not recommended in infections with multi-resistant germs. All patients required oxygen therapy, the average length of hospital stay was 28 days. Death was recorded in 10 cases (25%).
SARS-COV2 Statistical Analysis–Constanta Family Medicine Cabinet in the Period 2020–2022
Authors: Emil Catana , Anisoara-Marinela Vlad 
Published: November 2022

Abstract
SARS-COV2 translates as a highlycontagious viral strain, being part of thegenusBetacoronavirus, the Sarbecovirus subgroup, consisting of a single molecule of single-stranded RNA, withpositivepolarityandhavingdimensions of 27-32 kb.
The timefromthetransposition of infectiontotheonset of symptomatology in order of frequency:cough,dysphagia, fever,breathlessness, anosmia, ageusia, headacheandfatiguabilityisbetween2-12days, with an average of 6days.
The purpose of thisstudyisthestatisticalanalysis of thecases of SARS-COV2 infectionassociatedwith medical assistance in a family medicine office in Constanta in the period 2020-2022.
The author notes thediscrepancybetweenthephases of exponentialgrowth, plateauandlatency, thankstothedemanding monitoring of theprovisions of Law no. 55/15 May 2020, whichregulatestheactivity of preventingandcombatingtheeffects of the COVID-19 pandemic.