bluuebunny/crossref_metadata_2025_split huggingface dataset:
Iconic therapy for the reduction of borderline personality disorder symptoms among suicidal youth: A randomized controlled trial study
Authors: Hurtado-Santiago Silvia , Guzmán-Parra José , Mayoral Fermín , Bersabé Rosa M. 
Published: November 2021

Abstract
Background: Iconic therapy (IT) is a new therapy that uses images to teach skills with the aim of improving the symptoms of borderline personality disorder. Preliminary results are promising and the indication is that Iconic Therapy may be effective. The purpose of this randomized clinical trial was to test the effectiveness of IT compared to a psychological supportive intervention (SI).Methods: The study was carried out at the University Regional Hospital of Malaga. Young patients (N=40; 15–30 years) with suicidal or parasuicidal behavior and borderline personality traits were randomized into IT (N = 20) or SI (N = 20). The main outcome variable was a change in the symptoms of borderline personality disorder (BSL-23) at the end of treatment. The secondary outcome variables were suicidal ideation and behaviour, self-harm, the need for medication, the number of visits to mental health professionals, maladaptive behaviour, satisfaction with therapy and perceived improvement, both at the end of the intensive treatment and at the 12-month follow-up.Results: There were no significant differences between the two therapies regarding reduction of the BSL-23 score. The two therapies showed statistically significant results both at the end of intensive treatment (IT: d = 0.50; SI: d = 0.45) and at the 12-month follow-up (IT: d = 1.09; SI: d = 0.80). In the secondary outcome measures, IT showed statistically significant superiority with respect to SI in satisfaction with therapy at the end of treatment (p = 0.002).Conclusions: Although the results suggest certain superiority of Iconic therapy, it is remarkable the necessity of future studies with larger samples and comparisons with established treatments for borderline personality disorder. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT03011190.
A Novel PM2.5 Concentrations Probability Density Prediction Model Combines The Least Absolute Shrinkage And Selection Operator With Quantile Regression
Authors: Yang Shaomei , Wu Haoyue 
Published: November 2021

Abstract
PM2.5 has a significant negative impact on human health and atmospheric quality, and accurate prediction of its concentration is necessary. PM2.5 concentration is influenced by a combination of factors from both meteorological conditions and air quality. It is essential to identify the significant factors influencing PM2.5 concentrations in the prediction process. To address this issue, this paper proposes the quantile regression (QR) model based on the least absolute shrinkage and selection operator (LASSO), combined with kernel density estimation (KDE) for probabilistic density prediction of PM2.5 concentrations. The model uses LASSO regression to select the influential factors, and then the quartiles of daily PM2.5 concentrations obtained using the QR model are imported into the KDE model to obtain the probability density curves of PM2.5 concentrations. In this paper, empirical analysis is performed with the data sets of Beijing, China, and Jinan, China, and the accuracy of the model is evaluated using the mean absolute percentage error(MAPE) and the relative mean square error (RMSE). The simulation results reveal that the LASSSO-QR-KDE model has a higher accuracy than the traditional prediction models and the currently used research models. The model provides a novel and excellent tool for policy makers to predict PM2.5 concentrations.
Investment platform as a modern financial tool for attracting private investment in mortgages in Russia
Authors: Жукова О.В. 
Published: November 2021

В России с 01.01.2020 года изменились инвестиционные возможности частных инвесторов. Вступил в силу федеральный закон №259-ФЗ «О привлечении инвестиций с использованием инвестиционных платформ и о внесении изменений в отдельные законодательные акты Российской Федерации», который систематизировал платформенные решения для инвестиций онлайн в единый цифровой ресурс «Инвестиционная платформа». Частным инвесторам предоставляются государственные гарантии в части действия финансового механизма, тогда как предпринимательские риски они несут самостоятельно. В статье автор рассмотрит возможности частных инвесторов составить конкуренцию банкам в качестве первичных кредиторов в недвижимость, и конкретно, инвестировать собственные средства в ипотеку на приобретение недвижимости. Это ещё один шаг к секьюритизации ипотечных активов. Рынок ценных бумаг характеризует деловую активность инвесторов, а ипотека должна стать ещё доступнее для граждан.
In Russia, since 01.01.2020, the investment opportunities of private investors have changed. Federal Law No. 259-FZ «On attracting investments using investment Platforms and on Amendments to Certain Legislative Acts of the Russian Federation» has entered into force, which systematized platform solutions for online investments into a single digital resource «Investment Platform». Private investors are provided with state guarantees regarding the operation of the financial mechanism, while they bear the business risks themselves. In the article, the author will consider the possibilities of private investors to compete with banks as primary lenders in real estate, and specifically, to invest their own funds in a mortgage for the purchase of real estate. This is another step towards the securitization of mortgage assets. The securities market characterizes the business activity of investors, and mortgages should become even more accessible to citizens.
Energy efficiency measures during the COVID-19-22 pandemic
Authors: Полетаев И.Ю. , Ротанов А.В. 
Published: November 2021

В статье рассмотрены ситуация на рынке энергоресурсов в период пандемии COVID-19 и возможные перспективные мероприятия по повышению эффективности использования энергетических ресурсов и росту ВВП экономики страны. Отражены основные направления мероприятий по повышению энергоэффективности в период пандемии, отражена необходимость повышения персональной мотивации и ответственности должностных лиц федеральных и региональных органов исполнительной власти. Сформулирован вывод о необходимости повышения эффективности управления мероприятиями по реализации задач и достижению показателей в исполнении национальных задач и проектов как на федеральном уровне, так и в регионах и муниципальных образованиях.
This article considers the situation on the energy market during the COVID-19 pandemic and possible promising measures to improve the efficiency of the use of energy resources and increase the GDP of the country's economy. The main directions of measures to improve energy efficiency during the pandemic are reflected, the need to increase the personal motivation and responsibility of officials of federal and regional executive authorities is reflected. The conclusion is formulated about the need to improve the efficiency of managing activities for the implementation of tasks and achieving indicators in the implementation of national tasks and projects both at the federal level and in regions and municipalities.
Research on head loss of pre-pump micro-pressure filter under clean water conditions
Authors: Tao Hongfei , Shen Pingping , Li Qiao , Jiang Youwei , Yang Wenxin , Wei Jianqun 
Published: November 2021

Abstract
Filters are important pieces of equipment to ensure the normal operation of micro-irrigation systems, and the head loss is a key indicator to evaluate their hydraulic performances. To reduce the head loss and energy consumption, a new type of filter for treating surface water – the pre-pump micro-pressure filter was proposed. The pre-pump micro-pressure filter was studied, and physical model tests on the flow rate, water separator type, and filter screen area were conducted under clean water conditions. Statistical and dimensional analysis methods were used to analyze the test results. Our results showed that the order of the factors affecting the head loss of the filter was flow rate &gt; water separator type &gt; filter screen area. The various water separator types showed no significant differences in terms of head loss, while the different flow rates showed significant differences. A head loss prediction model was constructed, and the coefficient of determination R2 reached 0.987. Our results can provide technical support for new filter development and enrich the theory of micro-pressure filtration.
Machine Learning and Deep Learning Strategies in Drug Repositioning
Authors: Wang Fei , Ding Yulian , Lei Xiujuan , Liao Bo , Wu Fang-Xiang 
Published: November 2021

:
Drug repositioning invovles exploring novel usages for existing drugs. It plays an important
role in drug discovery, especially in the pre-clinical stages. Compared with the traditional drug discovery
approaches, computational approaches can save time and reduce cost significantly. Since drug repositioning
relies on existing drug-, disease-, and target-centric data, many machine learning (ML) approaches
have been proposed to extract useful information from multiple data resources. Deep learning
(DL) is a subset of ML and appears in drug repositioning much later than basic ML. Nevertheless, DL
methods have shown great performance in predicting potential drugs in many studies. In this article, we
review the commonly used basic ML and DL approaches in drug repositioning. Firstly, the related databases
are introduced, while all of them are publicly available for researchers. Two types of preprocessing
steps, calculating similarities and constructing networks based on those data, are discussed.
Secondly, the basic ML and DL strategies are illustrated separately. Thirdly, we review the latest studies
focused on the applications of basic ML and DL in identifying potential drugs through three paths:
drug-disease associations, drug-drug interactions, and drug-target interactions. Finally, we discuss the
limitations in current studies and suggest several directions of future work to address those limitations.
Role of Vitamins in Neurodegenerative Diseases: A Review
Authors: Kumar Ravi Ranjan , Singh Lovekesh , Thakur Amandeep , Singh Shamsher , Kumar Bhupinder 
Published: November 2021

Background:
Vitamins are the micronutrients required for boosting the immune system
and managing any future infection. Vitamins are involved in neurogenesis, a defense mechanism
working in neurons, metabolic reactions, neuronal survival, and neuronal transmission. Their deficiency
leads to abnormal functions in the brain like oxidative stress, mitochondrial dysfunction, accumulation
of proteins (synuclein, Aβ plaques), neurodegeneration, and excitotoxicity.

Methods:
In this review, we have compiled various reports collected from PubMed, Scholar Google,
Research gate, and Science direct. The findings were evaluated, compiled, and represented in
this manuscript.

Conclusion:
The deficiency of vitamins in the body causes various neurological disorders like
Alzheimer’s disease, Parkinson’s disease, Huntington's disease, and depression. We have discussed
the role of vitamins in neurological disorders and the normal human body. Depression is linked to
a deficiency of vitamin-C and vitamin B. In the case of Alzheimer’s disease, there is a lack of vitamin-
B1, B12, and vitamin-A, which results in Aβ-plaques. Similarly, in Parkinson’s disease, vitamin-
D deficiency leads to a decrease in the level of dopamine, and imbalance in vitamin D leads to
accumulation of synuclein. In MS, vitamin-C and vitamin-D deficiency causes demyelination of
neurons. In Huntington's disease, vitamin- C deficiency decreases the antioxidant level, enhances
oxidative stress, and disrupts the glucose cycle. vitamin B5 deficiency in Huntington's disease disrupts
the synthesis of acetylcholine and hormones in the brain.
Role of Polyphenol in Regulating Oxidative Stress, Inflammation, Fibrosis,
and Apoptosis in Diabetic Nephropathy
Authors: Sapian Syaifuzah , Budin Siti Balkis , Taib Izatus Shima , Mariappan Vanitha , Zainalabidin Satirah , Chin Kok Yong 
Published: November 2021

:
Diabetic Nephropathy (DN) is known as one of the driving sources of End-Stage Renal Disease (ESRD). DN prevalence continues to increase in every corner of the world andthat has been a major concern to healthcare professionals as DN is the key driver of Diabetes Mellitus (DM) morbidity and mortality. Hyperglycaemia is closely connected with the production of Re-active Oxygen Species (ROS) that cause oxidative stress response as well as numerous cellular and molecular modifications. Oxidative stress is a significant causative factor to renal damage, as it can activate other immunological pathways, such as inflammatory, fibrosis, and apoptosis path-ways. These pathways can lead to cellular impairment and death as well as cellular senescence. Natural substances containing bioactive compounds, such as polyphenols, have been reported to exert valuable effects on various pathological conditions, including DM. The role of polyphenols in alleviating DN conditions has been documented in many studies. In this review, the potential of polyphenols in ameliorating the progression of DN via modulation of oxidative stress, inflam-mation, fibrosis, and apoptosis, as well as cellular senescence, has been addressed. This infor-mation may be used as the strategies for the management of DN and development as nutraceutical products to overcome DN development.
Information System for Screening and Automation of Document Management in Oncological Clinics
Authors: Sheketa Vasyl , Pasieka Mykola , Chupakhina Svitlana , Pasieka Nadiia , Ketsyk-Zinchenko Uliana , Romanyshyn Yulia , Yanyshyn Olha 
Published: November 2021

Introduction:
Automation of business documentation workflow in medical practice substantially accelerates and improves the process and results in better service development.

Methods:
Efficient use of databases, data banks, and document-oriented storage (warehouses data), including dual-purpose databases, enables performing specific actions, such as adding records, introducing changes into them, performing an either ordinary or analytical search of data, as well as their efficient processing. With the focus on achieving interaction between the distributed and heterogeneous applications and the devices belonging to the independent organizations, the specialized medical client application has been developed, as a result of which the quantity and quality of information streams of data, which can be essential for effective treatment of patients with breast cancer, have increased.

Results:
The application has been developed, allowing automating the management of patient records, taking into account the needs of medical staff, especially in managing patients’ appointments and creating patient’s medical records in accordance with the international standards currently in force. This work is the basis for the smoother integration of medical records and genomics data to achieve better prevention, diagnosis, prediction, and treatment of breast cancer (oncology).

Conclusion:
Since relevant standards upgrade the functioning of health care information technology and the quality and safety of patient’s care, we have accomplished the global architectural scheme of the specific medical automation system through harmonizing the medical services specified by the HL7 international.
Magnetic Spinel Ferrite: An Efficient, Reusable Nano Catalyst for HMFsynthesis
Authors: Dhariwal Jyoti , Yadav Ravina , Yadav Sheetal , Sinha Anshu Kumar , Srivastava Chandra Mohan , Rao Gyandshwar Kumar , Srivastava Manish , Sharma Vivek , Verma Monu , Rawat Pooja , Banwar Kiran , Rawat Varun 
Published: November 2021

Aim:
In the present work, the preparation and catalytic activity of spinel ferrite
(MFe2O4; M = Fe, Mn, Co, Cu, Ni) nanoparticles to synthesize 5-hydroxymethylfurfural (HMF)
have been discussed.

Background:
Ferrites possess unique physicochemical properties, including excellent magnetic
characteristics, high specific surface area, active surface sites, high chemical stability, tunable
shape and size, and easy functionalization. These properties make them essential heterogeneous
catalysts in many organic reactions.

Objective:
This study aims to synthesize a series of transition metal ferrite nanoparticles and use
them in the dehydration of carbohydrates for 5-hydroxymethylfurfural (HMF) synthesis.

Method:
The ferrite nanoparticles were prepared via the co-precipitation method, and PXRD
confirmed their phase stability. The surface area and the crystallite size of the nanoparticles were
calculated using BET and PXRD, respectively.

Result:
The easily prepared heterogeneous nanocatalyst showed a significant catalytic performance,
and among all spinel ferrites, CuFe2O4 revealed maximum catalytic ability.

Conclusion:
Being a heterogeneous catalyst and magnetic in nature, ferrite nanoparticles were
easily recovered by using an external magnet and reused up to several runs without substantial
loss in catalytic activity.

Others:
HMF was synthesized from fructose in a good yield of 71%.
KARAKTERISTIK	LACTATE THRESHOLD PADA ATLET TAEKWONDO	DAERAH ISTIMEWA YOGYAKARTA SELAMA KOMPETISI
Authors: Widiyanto - , Hariono Awan , Tirtawirya Devi 
Published: November 2021

This study aimed at investigating the characteristics of lactate threshold in Taekwondo Yogyakarta Special Region athletes during competition. This research is a descriptive study conducted with survey techniques. Data was collected with a test that aims to understand how high levels of lactic acid in the blood of Yogyakarta Taekwondo athletes during competition. The sample used in this study is a DIY Taekwondo athletes who participate in Taekwondo championship. This study was conducted in September 2013 at Sports Hall the National Development University of Yogyakarta. In this research, statistical analysis by paired sample t-test. All statistical analyzes were performed with computer applications using serial program SPSS for Windows version 19, with a signi icance level of 5 %. Different test results on the measurement of lactic acid levels at 1, at 2, at 3, at 4, and 5 to show that an increase in blood lactic acid levels. While the results of different tests on the blood lactic acid levels at 6 measurements decrease. Highest levels of lactic acid produced in the measurement to 5 or in Round 3. Recovery with a time of 10 minutes after the match has not been enough to restore blood lactic acid levels in condition before the match or at rest
Empowering PAUD Institute and Character Education Development through Sodaqoh Sampah Program
Authors: Pramudyani Avanti Vera Risti , Asmorojati Anom Wahyu , Pambudi Dholina Inang , Maharani Ega Asnatasia 
Published: November 2021

Penelitian ini bertujuan untuk mengembangkan model pengelolaan sampah melalui program sodaqoh sampah di lembaga PAUD. Program sodaqoh sampah selain sebagai salah satu solusi dalam mengatasi permasalahan sampah, juga dapat dikembangkan untuk mengatasi persoalan lembaga pendidikan khususnya bidang finansial sehingga lebih berdaya, sekaligus dapat dijadikan sebagai media dalam menanamkan pendidikan karakter. Metode penelitian ini adalah penelitian dan pengembangan dengan model spiral yang terdiri dari lima fase pengembangan yakni: define, design, demonstrate, develope, dan delivery. Tahap define dan design akan dilakukan pada tahun pertama sedangkan tahap berikutnya akan dilaksanakan di tahun berikutnya. Hasil penelitian pada tahun pertama adalah modul pelatihan yang akan digunakan untuk tahap demonstrate, develop, dan delivery tahap berikutnya. Program dikembangkan dengan mengembangkan konsep pengelolaan bank sampah namun hasil penjualan dikelola oleh sekolah untuk dijadikan sebagai sumber pembiayaan sehingga sekolah dapat mengembangkan program pengembangan sekolah. Program ini menekankan pada karakter religius, jujur, peduli lingkungan, mandiri, dan kreatif. Produk yang dihasikan dalam penelitian ini adalah modul yang telah tersusun dan divalidasi oleh para ahli lingkungan, kelembagaan, dan pendidikan karakter. Penilaian dari masing-masing ahli diperoleh skor rata-rata 96,79 dengan kriteria sangat baik. Berdasarkan hasil penilaian para ahli tersebut modul layak digunakan pada tahap selanjutnya
KEBUTUHAN BELAJAR	MASYARAKAT UNTUK PENGEMBANGAN WISATA BELAJAR DI WADUK GAJAH MUNGKUR KABUPATEN WONOGIRI
Authors: Tristanti Tristanti , Santi Fitta Ummaya 
Published: November 2021

Penelitian ini bertujuan untuk mendeskripsikan: (1) kebutuhan belajar masyarakat di Waduk Gajah Mungkur sebagai upaya pengembangan wisata belajar dan (2) kendala yang dihadapi dalam pengembangan wisata belajar di Waduk Gajah Mungkur. Penelitian ini merupakan penelitian deskriptif kualitatif dengan subjek penelitian adalah masyarakat sekitar Waduk Gajah Mungkur yang terdiri dari pengelola, wisatawan, dan pedagang. Hasil penelitian menunjukkan bahwa: pertama, keberadaan wisata Waduk Gajah Mungkur sangat bermanfaat bagi kehidupan masyarakat sekitar waduk sebagai pemenuhan kebutuhan hidup dan menambah perekonomian. Wisata Waduk Gajah Mungkur juga dipandang dapat menumbuhkan peluang sebagai wisata belajar yaitu kegiatan outbound, wisata edukasi, dan wisata memancing. Kedua, kendala yang dihadapi dalam pengembangan Wisata Waduk Gajah Mungkur yaitu kemampuan sumber daya manusia masih minim, belum adanya koordinasi antarpengelola waduk dengan dinas pariwisata dan kesadaran masyarakat terhadap pengembangan waduk masih rendah.
Pengembangan multimedia interaktif berbasis Android pada materi kualitas instrumen evaluasi pembelajaran matematika
Authors: Tabrani Mohamad Bayi , Puspitorini Puput , Junedi Beni 
Published: November 2021

Multimedia interaktif berbasis android merupakan salah satu sistem operasi yang mendukung program pembelajaran, memiliki karakteristik dalam mendorong mahasiswa untuk dapat melakukan belajar secara mandiri tanpa harus dibimbing. Multimedia interaktif berbasis android perlu dikembangkan di setiap jenjang pendidikan merupakan inovasi dalam penyajian materi pembelajaran. Tujuan penelitian adalah mengembangakan multimedia interaktif berbasis android yang valid pada materi kualitas instrumen evaluasi. Metode penelitian yang digunakan merupakan penelitian dan pengembangan (research & development) dengan model pengembangan 4D Thiagarajan terdiri dari pendefenisian (define), perancangan (design), pengembangan (develop), dan penyebaran (disseminate). Hasil pengembangan multimedia interaktif berbasis android memperoleh respon positif dari ahli materi, media serta bahasa dengan kategori kevalidan tinggi dan sudah layak digunakan.Development of Android-based interactive multimedia on the quality of mathematics learning evaluation instruments AndroidAndroid-based interactive multimedia is an operating system that supports learning programs, has characteristics in encouraging students to be able to study independently without having to be guided. Android-based interactive multimedia needs to be developed at every level of education as an innovation in the presentation of learning materials. This research aims to develop a valid Android-based interactive multimedia on the quality material of the evaluation instrument. The research method used is research and development with the Thiagarajan 4D development model consisting of definition, design, development, and dissemination. The results of the development of interactive multimedia based on Android received a positive response from the material, media, and language experts with categories suitable for use.