bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of the Molecular Mechanism of Corni Fructus-Epimedii Folium-
Rehmanniae Radix Praeparata in the Treatment of Postmenopausal
Osteoporosis based on Network Pharmacology and Molecular Docking
Authors: Zhou Yu , Li Xin , Wang Jinchao , He Rong , Ng Liqi , Li Dapeng , Mortimer Jeremy , Varma Swastina Nath , Hu Jinhua , Zhao Qing , Peng Zeyu , Liu Chaozong , Su Songchuan 
Published: June 2023

Introduction:
In this study, core drugs of clinical postmenopausal osteoporosis were
retrieved using data mining, the drug molecular action target was predicted through network
pharmacology, the key nodes of interaction were identified by combining postmenopausal
osteoporosis-related targets, and the pharmacological mechanism of Traditional Chinese
Medicine (TCM) against postmenopausal osteoporosis and other action mechanisms was explored.

Methods:
TCMISS V2.5 was used to collect TCM prescriptions of postmenopausal osteoporosis
from databases, including Zhiwang, Wanfang, PubMed, etc., for selecting the highest confidence
drugs. TCMSP and SwissTargetPrediction databases were selected to screen the main active ingredients
of the highest confidence drugs and their targets. Relevant targets for postmenopausal
osteoporosis were retrieved from GeneCards and GEO databases, PPI network diagrams construction
and selection of core nodes in the network, GO and KEGG enrichment analysis, and molecular
docking validation.

Results:
Correlation analysis identified core drug pairs as 'Corni Fructus-Epimedii Folium-
Rehmanniae Radix Praeparata' (SZY-YYH-SDH). After TCMSP co-screening and de-weighting,
36 major active ingredients and 305 potential targets were selected. PPI network graph was built
from the 153 disease targets and 24 TCM disease intersection targets obtained. GO, KEGG enrichment
results showed that the intersectional targets were enriched in the PI3K-Akt signalling
pathway, etc. The target organs were mainly distributed in the thyroid, liver, CD33+_Myeloid,
etc. Molecular docking results showed that the core active ingredients of the 'SZY-YYH-SDH'
were able to bind to the pair core nodes and PTEN and EGFR.

Conclusion:
The results showed that 'SZY-YYH-SDH' can provide the basis for clinical application
and treat postmenopausal osteoporosis through multi-component, multi-pathway, and multitarget
effects.
Intelligent Decision Support System in Healthcare using Machine Learning
Models
Authors: Patnaik Anup , K. Krishna Prasad 
Published: June 2023

Background:
The use of intelligent decision support systems (IDSS) is widespread in the
healthcare industry, particularly for real-time data, client and family history datasets, and prevalent
patient features.

Objective:
A massive chunk of various kinds of health data sets, including sensor information, medical
evidence, and omic statistics, are produced by the modern techniques in this field and eventually
transferred to a machine learning (ML) element for extracting data, categorization, as well as mining.

Method:
In recent times, many patents have been focused on healthcare monitoring; however, they
do not adequately incorporate appropriate algorithms for data collection, analysis, and prediction.
The data collected is used for predictive modelling, then additionally, machine learning techniques
are assisting to compare acquired datasets mathematically for decision-making platforms that may
learn to recognise the recent trend and anticipated future problems. Depending on the dataset type,
ML-based techniques can assess the circumstances. Training datasets are crucial for correctly anticipating
both current and emerging events as well as new challenges.

Results:
Since the importance of data acquisition determines how well learning models function,
any deformed data of the types of dirty data, noisy data, unstructured data, and inadequate information
results in inaccurate detection, estimate, and prediction.

Conclusion:
Additionally, in contrast to other approaches, the experimental findings demonstrate
the usefulness of the proposed method as a widespread implementation of machine learning algorithms
within healthcare systems.
Fabrication and Synthesis of Thiococlchicoside Loaded Matrix Type
Transdermal Patch
Authors: Thakur Nishant , Goswami Manish , Deka Dey Asmita , Kaur Bhupinder , Sharma Chandan , Kumar Arun 
Published: June 2023

Background:
The goal of this work was to synthesize and fabricate matrix type transdermal
patches based on a combination of polymers (Eudragit L100, HPMC and PVP K30), plasticizer and
crosslinking agents (propylene glycol and triethyl citrate) and adhesives (Dura Tak 87-6908) to increase
Thiocolchicoside (THC) absorption via topical route. This method allows avoidance of first-pass metabolism
along with a consistent and extended duration of therapeutic activity.

Methods:
Fabrication and casting of polymeric solutions containing THC was done either in petri plates
or through lab coater to get transdermal patches. Finally, the formulated patches were studied for their
physicochemical and biological evaluation using scanning electron microscopy, FTIR, DSC, XRD and
ex-vivo permeation studies using pig ear skin.

Results:
FTIR studies confirm that the THC characteristics peaks (carbonyl (Amide I) at 1525.5 cm-1,
C=O stretching (tropane ring) at 1664.4 cm-1, Amide II band (N-H stretching) at 3325.9 cm-1, thioether
band at 2360.7 cm-1, and OH group stretching band at 3400.2 cm-1) are still present in the polymer mixture
even after formulation as a transdermal patch, indicating compatibility among all excipients. While
on the other hand, DSC studies confirm endothermic peaks for all the polymers along with THC with
the highest enthalpy of 65.979 J/g, which is an indicator of sharp endothermic peak at 198°C, leading to
the melting of THC. The percentage drug content and percentage moisture uptake of all the formulation
was found in the range of 96 ± 2.04 to 98.56 ± 1.34% and 4.13 ± 1.16 to 8.23 ± 0.90%, respectively.
Drug release and release kinetics studies confirm that it is dependent on the composition of individual
formulation.

Conclusion:
All these findings support the possibility of using suitable polymeric composition, as well
as proper formulation and manufacturing circumstances, to create a one-of-a-kind technology platform
for transdermal drug administration.
A Study on User-Oriented Subjects of Child Abuse on Wikipedia: Temporal Analysis of Wikipedia History Versions and Traffic Data
Authors: Wang Yanyan , Zhang Jin 
Published: June 2023

Background
Many people turn to online open encyclopedias such as Wikipedia to seek knowledge about child abuse. However, the information available on this website is often disorganized and incomplete.

Objective
The aim of this study is to analyze Wikipedia’s coverage of child abuse and provide a more accessible way for users to browse child abuse–related content. The study explored the main themes and subjects related to child abuse on Wikipedia and proposed a multilayer user-oriented subject schema from the general users’ perspective.

Methods
The knowledge of child abuse on Wikipedia is presented in the child abuse–related articles on it. The study analyzed child abuse–related articles on Wikipedia, examining their history versions and yearly page views data to reveal the evolution of content and popularity. The themes and subjects were identified from the articles’ text using the open coding, self-organizing map, and n-gram approaches. The subjects in different periods were compared to reveal changes in content.

Results
This study collected and investigated 241 associated Wikipedia articles and their history versions and traffic data. Four facets were identified: (1) maltreatment behavior (n=118, 48.9%); (2) people and environment (n=28, 11.6%); (3) problems and risks (n=33, 13.7%); and (4) protection and support (n=62, 25.7%). A total of 8 themes and 51 subjects were generated from the text, and a user-oriented subject schema linking the facets, themes, subjects, and articles was created. Maltreatment behavior (number of total views = 1.15 × 108) was the most popular facet viewed by users, while people and environment (number of total views = 2.42 × 107) was the least popular. The popularity of child abuse increased from 2010 to 2014 but decreased after that.

Conclusions
The user-oriented subject schema provides an easier way for users to seek information and learn about child abuse. The knowledge of child abuse on Wikipedia covers the harms done to children, the problems caused by child abuse, the protection of children, and the people involved in child abuse. However, there was an inconsistency between the interests of general users and Wikipedia editors, and the child abuse knowledge on Wikipedia was found to be deficient, lacking content about typical child abuse types. To meet users’ needs, health information creators need to generate more information to fill the knowledge gap.
Intuición e imaginación en los experimentos mentales para la enseñanza de las ciencias
Authors: Vélez Rengifo Juan Carlos 
Published: June 2023

En este artículo voy a presentar dos rasgos fundamentales de los experimentos mentales[1], a saber: la intuición y la imaginación, los cuales permitirán delimitar los criterios para determinar cuándo un EM es una bomba de intuición justificada y cuándo no lo es. Se expondrán para este objetivo las tesis de Elke Brendel (2003) y las de Jorge Ornelas (2016), principalmente. Sin embargo, se realizará una breve reseña por las principales posiciones acerca de los EMs. Finalmente, argumento que los EMs dentro del campo de la teoría de la enseñanza de la ciencia constituyen la mejor herramienta de pensamiento que tenemos, ya que se ejecutan sobre modelos mentales y, por tanto, constituyen elementos fundamentales para promover la enseñanza de la ciencia

[1] En adelante, EM para hacer referencia al término en singular y EMs cuando se trata del término en plural.
Acute arrest of hematopoiesis induced by infection with influenza A virus and streptococcus pneumoniae：A case report and literature review
Authors: Yan Li mei , Jia Peng 
Published: June 2023

Acute arrest of hematopoiesis (AAH) is a rare disease of the blood
system,which is a self-limited and reversible acute arrest of bone
marrow hematopoietic function caused by various reasons such as
drugs,infection,radiation,and usually manifested as a decrease in red
blood cells and reticulocytes in the blood or a decrease in whole blood
cells[1].The most common acute hemopoietic arrest caused by viral
infection is parvovirus B19,In addition to parvovirus B19,it is also
seen in Epstein Barr virus, cytomegalovirus,HIV,rubella and infectious
hepatitis viruses.The development of AAH secondary to influenza A virus
and Streptococcus pneumoniae infection is rare,To date,there have been
no reports of AAH caused by influenza A virus and streptococcus
pneumoniae infection.Due to the fact that this disease is easily
misdiagnosed as aplastic anemia,timely and accurate diagnosis is
crucial.The present study increased our knowledge of this rare disease
and its characteristics,which will enable physicians to be aware of the
development of AAH as a rare complication of influenza A virus and
Streptococcus pneumoniae infection.
How Costly is Tax Avoidance? Evidence from Structural Estimation
Authors: McClure Charles G. 
Published: June 2023

ABSTRACT
I develop a structural model to quantify the costs of tax avoidance. In the model, the firm trades off tax savings with tax audit risk, financial reporting considerations, and operational frictions imposed by tax avoidance, the last of which I label as nontax costs. The estimated parameters suggest nontax costs, which are difficult to observe, decrease pretax income by 6.4 percent or $58 million per firm-year. The large magnitude of this estimate can explain why firms appear to underutilize tax avoidance strategies. Through counterfactual analysis, I estimate the effect of tax audit risk and financial reporting considerations to find that financial reporting considerations have an effect on tax avoidance similar to the penalties imposed by tax authorities. Overall, the estimated parameters help explain the “undersheltering puzzle.”
JEL Classifications: G14; H21; H25; H26; M41; M48.
Analisis Kemampuan Berpikir Komputasional Matematis Siswa Dalam Menyelesaikan Soal Pisa Konten Change And Relationship
Authors: Simanjuntak Erlinawaty , Armanto Dian , Dewi Izwita 
Published: June 2023

Penguasaan kemampuan berpikir komputasional sebagai salah satu teknik penyelesaian masalah menjadi sangat penting dimasa sekarang untuk menyiapkan generasi penerus yang berdaya saing. Berpikir komputasional adalah proses berpikir yang diperlukan dalam memformulasikan masalah dan menemukan solusinya. Sebagai langkah awal dalam meningkatkan dan mengembangkan kemampuan berpikir komputasional matematis siswa, maka perlu diketahui dan dianalisis terlebih dahulu bagaimana kemampuan berpikir komputasional matematis siswa. Jenis penelitian ini adalah deskriptif kualitatif. Responden penelitian adalah siswa SMPN 1 Binjai sebanyak 10 siswa. Teknik penentuan responden adalah random sampling method. Teknik pengumpulan data penelitian ini adalah tes Instrumen yang digunakan adalah satu soal matematika yang diadaptasi dari soal PISA konten change and relationship. Berdasarkan hasil jawaban seluruh responden, tidak semua mampu mengikuti proses berpikir komputasional, ada beberapa jawaban yang tidak sesuai dikarenakan kurang memahami masalah dan tidak teliti dalam melakukan perhitungan. Namun diantaranya ada 2 jawaban benar yang berhasil mengikuti proses berpikir komputasional. Dari kedua jenis jawaban benar yang ditampilkan, ditemukan bahwa pada dasarnya siswa telah memiliki kemampuan berpikir komputasional matematis yang baik. Tidak semata bekerja dengan menerapkan konsep ataupun rumus namun juga bekerja dengan menerapkan logika berpikir.
Effects on the Business in the Conditions of Superior Crises
Authors: Nozharov Shteryo , Hristozov Yanko 
Published: June 2023

Abstract
In recent years, financial and economic crises have been observed, which are a consequence of various global problems and phenomena. Despite the experience of 2008, it seems that the enterprises did not learn enough of their lessons and failed to foresee the difficulties for their business and finances. There are not many examples in history that have seen phenomena of superimposing economic and financial crises. In this case, the situation is caused by the pandemic caused by CoviD-19 and the war in Ukraine. The two events have had serious nongarnishing shocks to businesses and enterprise economies. The purpose of the current research is to trace the effects on business in the conditions of overlapping economic crises – in this case, caused by the covid pandemic and the war in Ukraine. The object of research will be the non-financial enterprises in Bulgaria, and the subject is the analysis of the effects on business as a result of overlapping crises. The aim is to derive and justify the effects and consequences for business in Bulgaria. The aim concerns the claim that the overlapping crises have a negative impact on the finances and economy of the enterprises in Bulgaria. The research was conducted on the basis of a survey among Bulgarian companies from the non-financial sector. The survey is conducted annually at the end of the year, summarizing in December of each year. About 800 companies - members of the Bulgarian Industrial Association take part in it. Their profile is mainly small and medium-sized enterprises, most of them being small.
Sums and products of periodic functions
Authors: Deville Robert 
Published: June 2023

Abstract
There exist two real valued periodic functions on the real line such that, for every x ∈ ℝ, f
1(x) + f
2(x) = x, but it is impossible to find two real valued periodic functions on the real line such that, for every x ∈ ℝ, f
1(x) + f
2(x) = x
2. The purpose of this note is to prove this result and also to study the possibility of decomposing more general polynomials into sum of periodic functions.
On the Cyclicity of Dilated Systems in Lattices: Multiplicative Sequences, Polynomials, Dirichlet-type Spaces and Algebras
Authors: Nikolski Nikolai 
Published: June 2023

Abstract
The aim of these notes is to discuss the completeness of the dilated systems in a most general framework of an arbitrary sequence lattice X, including weighted ℓ
p spaces. In particular, general multiplicative and completely multiplicative sequences are treated. After the Fourier–Bohr transformation, we deal with the cyclicity property in function spaces on the corresponding infinite dimensional Reinhardt domain

𝔻

X
∞

\mathbb{D}_X^\infty

. Functions with (weakly) dominating free term and (in particular) linearly factorable functions are considered. The most attention is paid to the cases of the polydiscs

𝔻

X
∞

,
|

ℂ

N

=

𝔻

N

\mathbb{D}_X^\infty ,|{\mathbb{C}^N} = {\mathbb{D}^N}

and the ℓ
p-unit balls

𝔻

X
∞

,
|

ℂ

N

=

𝔹

p
N

\mathbb{D}_X^\infty ,|{\mathbb{C}^N} = \mathbb{B}_p^N

, in particular to Dirichlet-type and Dirichlet–Drury–Arveson-type spaces and algebras, as

X
=

ℓ

p

(

ℤ

+
N

,

(

1
+
α

)

s

)

X = {\ell ^p}\left( {_ + ^N,{{\left( {1 + \alpha } \right)}^s}} \right))

, s = (s
1, s
2, … ) and

X
=

ℓ

p

(

ℤ

+
N

,

(

α
!

|
α
|

!

)

t

(

1
+

|
α
|

)

s

)

X = {\ell ^p}\left( {\mathbb{Z}_ + ^N,\,\,{{\left( {{{\alpha !} \over {\left| \alpha \right|!}}} \right)}^t}{{\left( {1 + \left| \alpha \right|} \right)}^s}} \right)

, s,t ≥ 0, as well as to their infinite variables analogues. We priviledged the largest possible scale of spaces and the most elementary instruments used.
Pendeteksi Jumlah Orang pada Sistem Bangunan Pintar Menggunakan Algoritma You Only Look Once
Authors: Yoga I Putu Sudharma , Sukadarmika Gede , Hartati Rukmi Sari , Divayana Yoga 
Published: June 2023

Perkembangan Internet of Things pada masa sekarang sangatlah pesat. salah satu bentuk dari perkembangan itu adalah Sebuah Smart-Building atau bangunan pintar. Pada bangunan pintar memerlukan sebuah bentuk sistem yang dapat mengawasi gedung tersebut secara real time dan efisien. pada penelitian ini merancang sebuah bentuk purwarupa sistem bangunan pintar dengan menambahkan pendeteksi jumlah orang yang menggunakan sensor kamera ESP32cam. Pendeteksian jumlah obyek orang ini mengadaptasi Algoritma YOLOv3 yang dilatih dengan 5 kondisi pencahayaan yang berbeda, diredupkan 50% dan 75%, ditingkatkan 50% dan 75% dan kondisi normal. Pada hasil pengimplementasian ini didapatkan nilai mAP yang melebihi 90% diseluruh kondisi pencahayaan tersebut. Algoritma YOLOv3 yang diterapkan pada sistem purwarupa bangunan pintar telah berhasil dalam mendeteksi dan mengkalkulasi jumlah obyek orang yang ada didalam sebuah gambar yang ditangkap oleh sensor kamera.
Kata Kunci— Internet of Things; Object Detection; Smart Building; YOLO
Perancangan Jaringan Fiber To The Home Berbasis Gigabit Passive Optical Network Dengan Dual Stage Passive Splitter
Authors: Arya Tri Andhika I Gusti Ngurah , Sukadarmika Gede , Indra ER Ngurah 
Published: June 2023

Intisari— Penelitian ini dilakukan untuk mengetahui jaringan yang lebih efektif dan kualitas jaringan eksisting, Desain Alternatif A, dan Desain Alternatif B pada Cluster Wongaya. Metode penelitian terdiri dari beberapa tahap yaitu, pemetaan lokasi, perancangan jaringan FTTH-GPON, pengujian kualitas jaringan, dan proyeksi estimasi traffic pada jaringan eksisting. Jaringan eksisting memiliki 368 homepass, dengan home connected 259 User. Pengujian dilakukan pada FAT Terjauh (F.8) untuk pengukuran lapangan didapatkan redaman output -20,11 dBm, pengujian pada optisytem mendapatkan redaman output -19,954 dBm, dan berdasarkan hasil perhitungan link power budget didapatkan redaman output -20,399 dBm. Jaringan eksisting ini memiliki proyeksi lima tahun kedepan sebesar 462 user. Desain Alternatif A memiliki 496 homepass. Penelitian ini dilakukan pada FAT terjauh (G.4) pengujian pada optisytem mendapatkan redaman output -19,704 dBm, dan berdasarkan perhitungan link power budget didapatkan redaman output -20,7414 dBm. Desain Jaringan Alternatif B memiliki 256 homepass. Hasil penelitian ini dilakukan pada FAT terjauh (H.4) pengujian pada optisytem mendapatkan redaman output -16,765 dBm, dan berdasarkan perhitungan link power budget didapatkan redaman output -17,09175 dBm. Berdasarkan hasil pengujian ini Desain Alternatif A merupakan desain yang efektif digunakan karena dapat memenuhi kebutuhan pelanggan dalam lima tahun dengan kualitas sesuai standar ITU-T dan Perusahaan.
Kata Kunci— FTTH, GPON, redaman, homepass, homeconnected, link power budget.
EFEK TIME HISTORY BANGUNAN GEDUNG TERHADAP FONDASI TIANG PADA TANAH LUNAK YANG BERLOKASI DI TANGERANG
Authors: Gabriella Jessica , Wijaya Hendy , Yuwono Amelia 
Published: June 2023

Indonesia is an earthquake prone area, because its is a located the confluence of three tectonic plates of the world’s. Earthquake is a rock event in the earth’s crust that releases energy suddenly and can result in loss of life and other damage. Therefore, it is necessary to take steps to reduce of prevent loss of live and other damage bye the analyzing of the earthquake impact on the analyses that can be used. Time history analysis is a method to determine the movement of a structure by providing a record of the earthquake, this method requires several earthquake recordings and was carried out with the help on the Midas Gen program. Required data such as superstructure modelling, soil parameters, and pile bearing capacity are entered into the program. After that, the program will generate displacemenet and reaction forces, which will be analyzed from each earthquake record.
Abstrak
Indonesia merupakan daerah yang berpotensi gempa karena berada pertemuan tiga lempeng tektonik dunia. Gempa bumi merupakan peristiwa batuan pada kerak bumi yang melepaskan sejumlah energi secara tiba-tiba dan dapat mengakibatkan korban jiwa dan kerusakan lainnya. Maka dari itu dibutuhkan langkah – langkah untuk mengurangi dan mencegah terjadinya korban jiwa dan kerusakan lainnya, dengan menganalisis efek gempa terhadap kestabilan fondasi pada bangunan. Salah satu analisis yang dapat digunakan adalah analisis riwayat waktu. Analisis riwayat waktu adalah salah satu metode untuk mengetahui pergerakan struktur dengan cara pemberian suatu rekaman gempa terhadap model tersebut. Analisis riwayat waktu ini dilakukan dengan program Midas GEN. Metode ini membutuhkan beberapa rekaman gempa. Data yang diperlukan seperti pemodelan stuktur atas, parameter tanah, daya dukung tiang dimasukan kedalam program. Selanjutnya program akan menghasilkan deformasi dan gaya reaksi yang akan dianalisis dari masing masing rekaman gempa.