bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic Decoding Pulmonary Alveolar Proteinosis in Children: A Case Report
Authors: Panyala Aparna Reddy , Baladhandapani Kalai Selvi , yerra Anupama , Ahmed Hafsa , Moodahadu Latha Subramanya 
Published: December 2024

Background:
Nonspecific symptoms and variable clinical course are the hurdles in diagnosing
pulmonary alveolar proteinosis (PAP), a rare lung disease. We report a pediatric case of
hereditary PAP caused by mutations in the gene encoding granulocyte Macrophage colony-stimulating
factor (GMCSF) receptor.

Case Presentation:
A 3 years 10-month-old female child, born to 3rd-degree consanguineous parents
presented with fever, intermittent cough, and breathing difficulty ten days before hospitalization.
Chest X-ray revealed bilateral diffuse alveolar infiltrates; Computed tomography (CT)
showed diffuse interstitial thickening along with a crazy pavement pattern. Bronchoscopy and
broncho-alveolar lavage (BAL) was performed. PAP was confirmed with BAL and genetic testing.
Serum GM-CSF autoantibody test was normal but serum GM-CSF concentration was high
(115.7 pg/mL). There was a continuous heterozygous deletion encompassing exon region 13 of
the SLC34A2 gene, suggestive of pulmonary alveolar microlithiasis. The patient received steroids (x2 weeks), inhalers (bronchodilators & steroids), and intermittent
home oxygen therapy (x2 weeks) with a good response.

Discussion:
Due to nonspecific symptomatology, and variation in disease severity, diagnosis of
PAP is delayed or missed. Crazy paving on CT, milky fluid on BAL with similar histological features
of foamy macrophages, and PAS-positive amorphous material within the alveolus are diagnostic
clues.
Asymptomatic patients or those with mild symptoms are managed with supportive care, monitoring,
and chest imaging; moderate to severe symptoms require whole lung lavage (WLL); GMCSF
Replacement therapy, an alternative to WLL Immunomodulation therapy is also considered.

Conclusion:
PAP can be managed conservatively with supportive therapy with good clinical outcomes
and not all patients require WLL. However, patient selection is crucial.
Optimization Analysis of Urban and Rural Environmental Planning Based on Artificial Intelligence and Intelligent Information Processing Algorithms
Authors: Zhao Feng , Han Chuanlong 
Published: December 2024

Introduction:
With rapid economic development and urbanization, urban and rural areas
face environmental challenges. Traditional optimization methods struggle with complexity
and often fail to find global optima.

Method:
This study integrates a Bidirectional Long Short-Term Memory Network (BiLSTM)
with Genetic Algorithm (GA)-Ant Colony Optimization (ACO) to improve environmental planning.
BiLSTM captures long-term data correlations and predicts future trends, achieving an average
Mean Squared Error (MSE) of 0.0217. GA-ACO, using GA-generated solutions as initial input for
ACO, identifies optimal planning solutions.

Results:
This approach enhances air quality indicators and provides robust predictions and optimizations
for sustainable urban and rural development.

Conclusion:
To sum up, future development needs comprehensive technical progress, policy support
and public participation to form a multi-level and multi-field collaborative mechanism to
achieve the real sustainable development goal.
Applications of Photovoltaic Water Pumping System in Developing Countries
Authors: Ali Faizan , Kumar Jitendra , Yadav Gaurav , Yadav Vikash 
Published: December 2024

Background:
Indian agriculture is the backbone of the country's economy. As the population
increases, the need for water arises accordingly. The main challenge in the extraction and
transportation of water for agriculture and drinking purposes is high energy consumption. Among
the various alternatives, the best one is to use solar energy, which is abundant and nearly cost-free,
to power any industry, especially for irrigation. Photovoltaic (PV) solutions are the most suitable
for remote agricultural needs.

Objectives:
The present research aimed to study the challenge of the use of solar energy, energy
conversion initiatives, and the application of photovoltaic pumping systems in India and other developing
countries.

Methods:
Solar cells make up the smallest portion of a PV panel. Two or more distinct layers of
material known as semiconductors that have been specially prepared are present in every solar cell
and when exposed to light, these layers generate direct current (DC) electrical power. The electrical
wiring in the circuit board accumulates the DC. After conversion, it is then given to either a
DC pump or an AC pump, which pumps water while the sun shines.

Results:
Water pumps powered by solar energy are less expensive, have a silent operation, and require
less maintenance. Moreover, in addition to pumping water, PV panels can be used to generate
electricity for domestic use.

Conclusion:
Solar energy finds potential applications for agricultural uses, such as, irrigation, purification,
threshing aeration, and electrical fencing. Photovoltaic arrays of solar-powered water
pumping systems can be used to generate electricity, reducing the dependency on conventional energy
sources.
Chemical Composition and Biological Activities of Natural Essential Oil Extracted from Flowers of Cassia sophera Linn
Authors: Brahmachari Goutam , Majhi Sasadhar , Chatterjee Sohini , Mandal Bhagirath , Mandal Narayan Chandra , Chatterjee Suchandra 
Published: December 2024

Background:
Natural essential oil comprises a galaxy of low-molecular-weight (usually less than 500 daltons) and volatile phytoconstituents that exhibit a
handful of biological and pharmaceutical properties; they exhibit several applications chiefly in agriculture, cosmetic, perfumeries, and food
industries.

Methods:
The extraction of essential oil from fresh flowers of C. sophera was performed by hydrodistillation, and the determination of its chemical
composition was carried out by Gas Chromatography/Mass Spectrometry (GC-MS). The antibacterial activity of the essential oil was executed by
the disc diffusion method against the four pathogenic bacteria. 1,1-Diphenyl-2-picrylhydrazyl (DPPH) was also performed for free radical
scavenging assay, and a scanning electron microscopic study was also executed to get an idea of the effect of C. sophera essential oil on bacterial
morphology.

Results:
The GC/MS analysis indicated that the essential oil is constituted primarily of aromatic compounds (68.75%), and the principal compounds are the
dialkyl phthalates esters (58.32%). The zones of inhibition range from 8-16 mm in the case of Gram-negative E. coli, whereas, in Gram-positive S.
aureus, these range from 7-13.5 mm. The minimum inhibition concentration (MIC) was found to be 0.3 mg/mL against all the Gram-negative
bacteria tested and 0.4 mg/mL against the Gram-positive bacteria S. aureus. The oil also showed moderate antioxidant properties by scavenging
1,1-diphenyl-2-picrylhydrazyl (DPPH) radical with an IC50 value of 126 μg/mL.

Conclusion:
As per the present study, the essential oil of C. sophera flowers may be suggested as a new potential source of natural antimicrobial and
antioxidant agents.
In situ Epoxidation of Unsaturated Fatty Acid-based Corn Oil with Amberlite IR-120H as Catalyst
Authors: Azmi Intan Suhada , Abdul Yazid Nurul Umairah , Jalil Mohd Jumain 
Published: December 2024

Introduction:
Studies using sustainable and environmentally friendly raw materials
are prominent among researchers due to rising environmental concerns.

Objective:
This study aimed to produce epoxidized corn oil using in situ peracid formation, with
Amberlite IR-120H as a catalyst, alongside acetic acid and hydrogen peroxide.

Materials and Methods:
Expoxidized corn oil was produced in situ with acetic acid as an epoxidation
agent and Amberlite as a catalyst. Results: The results showed that using a 50% concentration
of hydrogen peroxide and a 0.5:1 molar ratio of hydrogen peroxide to corn oil achieved
the highest Relative Conversion to Oxirane (RCO).

Discussion:
In situ epoxidation resulted in a higher relative conversion to oxirane in reaction
time (60 minutes).

Conclusion:
Lastly, numerical simulations were executed employing a genetic algorithm, and
the outcomes exhibited a noteworthy congruence between the simulated data and the empirical
observations.
Finite Element Analysis of Failure Pressure of X100 Oil and Gas Pipeline with Double Defects
Authors: Wang Zhanhui , Li Dongze , Duan Wenlong , Wang Aimin , Li Xiaojun , Zhang Zhifang 
Published: December 2024

Background:
At present, natural gas and crude oil are significant for the national
economy, and their safe transportation is crucial. The integrity of pipelines is the key to
ensuring this goal.

Objective:
We take X100 pipeline as the research object and use ANSYS software to complete
finite element simulations of three types of pipeline models: double external defect,
double internal defect and double internal and external defect.

Methods:
ANSYS software was adopted to study three types of pipeline models: double
external defect, double internal defect and double internal and external defect. Firstly, the
way defect parameters (defect depth and defect length) affect pipeline failure pressure is
evaluated. Then, the failure pressure calculation results are fitted with formulas using
MATLAB software, and the accuracy and applicability of the fitting formulas are verified.

Results:
For the three types of double defect pipeline models, namely double external defect,
double internal defect, and internal and external defect, in terms of the impact of defect
depth, failure pressure decreases with increasing defect depth. In terms of the impact
of defect length, the failure pressure decreased as the defect length increases. The overall
average error for the three pipeline models between MATLAB fitting formula results and
three standards results are 5.25%, 7.07%, 7.43%, respectively, a relatively low level of error,
indicating the MATLAB fitting formula has high reliability and accuracy. The sum of
squared correlation coefficients (R2) for the three pipeline models are 0.9190, 0.97837, and
0.97797, respectively, indicating the fitting formula has a high degree of fitting. The serial
numbers with pressure ratios greater than 1 for the three pipeline models are 67, 92, and
98, respectively, indicating the double external defect pipeline model performs the best,
followed by the double internal defect pipeline model, and the double internal and external
defect pipeline model performs the worst.

Conclusion:
These findings can be applied to improve the assessment of failure pressure in
X100 pipelines, leading to more effective maintenance and inspection strategies.
Transient Empirical Machine Learning Models based on Bit Coin Price Prediction using High and Low Values
Authors: Gupta Charu , Rehani Shrey , Kumar Prakhar , Yadav Pranjay , Jatana Nishtha , Singh Shweta 
Published: December 2024

Introduction:
Cryptocurrency is the new mode of transaction that is slowly replacing
the conventional assets of transactions. With the rise and advancement in the technology
called blockchain and the volatile nature of the market, cryptocurrencies are showing possibilities
of making huge profits. This new trend is slowly becoming accessible to all classes of society
in every part of the world while creating a great opportunity for scholars and analysts to
conduct new research. However, unlike the stock market, the prices of cryptocurrencies show
highly volatile and dynamic behaviour.

Methods:
Several research in the past have been performed to predict the nature and other aspects
of cryptocurrencies with the aid of machine learning to forecast the future market based
on past data. In the proposed work, 6 different machine-learning models have been used for
forecasting the prices of cryptocurrencies. The algorithms used are Autoregressive Integrated
Moving Average (ARIMA), Gated Regression Unit (GRU), Long Short-Term Memory
(LSTM), Bi-LSTM and Vector Autoregression (VAR).

Results:
Further, the accuracies of different models are compared and analysed. Furthermore,
these models are used to predict the first-order difference between 24 hours of all-time high
and low values. This evaluation gives us an idea of where the price band of the currency and
where is it most likely to be present during any 24-hour timespan.

Conclusion:
This can effectively lead to better decision making in choosing crypto-currency.
The GRU model achieved the best performance in cryptocurrency prediction with an RMSE of
0.2242 and MAE of 0.1598 for BTC prices, while the LSTM followed closely with an RMSE
of 0.3473 and MAE of 0.2557. Both models outperformed ARIMA, Bi-LSTM, VAR, and FB
Prophet, which showed significantly higher error rates.
Teaching with the Window Open: Notes on a Pedagogy between the Mundane and the Catastrophic
Authors: Saleh Elizabeth 
Published: December 2024

In this reflexive essay about teaching, I reflect upon the political space anthropology might hold in Lebanon, a country positioned at a continuum between so-called normalcy and catastrophe. What does it mean to teach in a context where there is a jarring disparity between a mundaneness, an almost banality to the everyday, and severe, often life-threatening interruptions? Where do political possibilities go in the process? What is recuperated? What is left to burn? I will use these questions as a starting point from which to reflect on the politics of teaching and learning anthropology during times of catastrophe. The emphasis being on the kinds of meaning ascribed to the learning process at a time when people, in a country such as Lebanon, live almost continuously within and in the aftermath of one catastrophe or another. How then is anthropology, as a discipline, as a way of learning and viewing the world, configured into these webs of significance?
Keywords: Aftermath, Anthropology, Ghosts, Lebanon, Methods, Pedagogy, Violence
Marketing Mix 4P Pengaruh Strategi Bauran Pemasaran Terhadap Kepuasan Konsumen Centrale Gelato Malang
Authors: Veliani Helmalia 
Published: December 2024

The abstract : Penelitian ini bertujuan untuk menganalisis pengaruh bauran pemasaran 4P (Produk, Harga, Promosi, dan Tempat) terhadap kepuasan konsumen di Centrale Gelato Malang. Penelitian ini menggunakan metode kuantitatif dengan pendekatan kausal komparatif, melibatkan 100 responden yang pernah membeli produk di sana, dan teknik pengambilan sampel purposive sampling. Data dikumpulkan melalui kuesioner yang telah diuji validitas dan reliabilitasnya. Hasil analisis regresi linier berganda menunjukkan bahwa secara parsial, bauran produk dan promosi berpengaruh positif terhadap kepuasan konsumen, sedangkan bauran harga dan tempat tidak berpengaruh. Secara simultan, keempat bauran pemasaran tersebut tidak berpengaruh secara signifikan terhadap kepuasan konsumen. Dari analisis, ditemukan bahwa bauran produk memiliki koefisien sebesar 0,159, promosi 0,245, harga -0,015, dan tempat 0,108. Secara keseluruhan, bauran pemasaran menjelaskan 70,9% dari variasi kepuasan konsumen, sedangkan 29,1% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. Penelitian selanjutnya disarankan untuk meneliti faktor lain seperti kualitas layanan, faktor emosional, dan pemasaran digital untuk memahami lebih dalam kepuasan konsumen.
Kata Kunci : Bauran Pemasaran 4P, Kepuasan Konsumen, Centrale Gelato

The abstract : This study aims to analyze the influence of the 4P marketing mix (Product, Price, Promotion, and Place) on consumer satisfaction at Centrale Gelato Malang. The research uses a quantitative approach with a causal-comparative method, involving 100 respondents who have purchased the product, and applies purposive sampling techniques. Data was collected through a questionnaire that has been tested for validity and reliability. The results of multiple linear regression analysis show that, partially, the product and promotion mix have a positive effect on consumer satisfaction, while the price and place mix do not have a significant impact. Simultaneously, the four marketing mix elements do not significantly influence consumer satisfaction. The analysis found that the product mix has a coefficient of 0.159, promotion 0.245, price -0.015, and place 0.108. Overall, the marketing mix explains 70.9% of the variation in consumer satisfaction, while 29.1% is influenced by other factors not examined in this study. Future research is suggested to explore other factors such as service quality, emotional factors, and digital marketing to gain a deeper understanding of consumer satisfaction.
Keywords: Marketing mix 4P and Consumer Statisfiction
Analisis Aerodinamika pada Airfoil NACA 2412 terhadap Gaya Angkat dan Gaya Hambat
Authors: Indah Riani Novi , Hartono R Yudi , Supardi Supardi , Sugiono Didik , Mehdiansyah Mehdiansyah 
Published: December 2024

Airfoil merupakan bentuk dari sayap pesawat yang bertujuan agar mendapatka gaya angkat yang besar dan gaya hambat yang kecil. Pada penelitian ini menggunakan airfoil tipe NACA 2412 dengan wind tunnel tipe subsonic. Penelitian ini bertujuan untuk mengetahui gaya angkat dan gaya hambat setiap variasi dari airfoil yakni airfoil dengan panjang chord 12 cm, 14 cm dan 16 cm berdasarkan nilai koefisien tekanan dari setiap variasi airfoil. Penelitian ini menghasilkan nilai gaya angkat terbesar yang terdapat pada airfoil dengan panjang chord 16 cm dan sudut serang α20°, sedangkan untuk gaya hambat terkecil terdapat pada airfoil 12 cm dengan sudut serang α16°. Nilai koefisien tekanan kontur pada bagian bawah airfoil lebih besar dibandingkan dengan koefisien tekanan pada bagian atas airfoil disemua variasi dan sudut serang yang dipakai. Penurunan koefisien terbesar terjadi pada variasi chord 16 cm dengan sudut serang α20°.Kata kunci: airfoil, gaya angkat, gaya hambat, chord.
Potensi Energi Hybrid sebagai Energi Terbarukan di Daerah Aliran Panas Bumi Gunung Sibayak
Authors: Nababan Wilson Sabastian , Sianturi Roy Lamrun , Sihombing Suriady 
Published: December 2024

Potensi besar yang dimiliki oleh Gunung Sibayak tidak hanya terbatas pada pemanfaatan untuk keperluan kesehatan dan wisata, namun juga dapat dimanfaatkan untuk pengembangan pembangkit listrik, khususnya energi terbarukan. penelitian ini akan menawarkan solusi energi hybrid yang efisien dan andal. Penelitian ini bertujuan untuk mengkaji potensi pembangkit hybrid dengan mengintegrasikan PLTMH type turbin propeler dengan teknologi TEG seri SP SP1848-27145 di daerah aliran air panas gunung sibayak. Metode penelitian melibatkan pengujian eksperimental pada turbin PLTMH dengan tiga variasi pengukuran debit aliran air 17,67 l/s, 25,51 l/s dan 35,35 l/s dan TEG dengan rangkaian seri-paralel. Parameter yang diukur adalah kecepatan putaran turbin rpm, daya generator PLTMH, beda temperatur TEG dan Daya TEG. Hasil pengujian menunjukkan pada putaran tertinggi 500 rpm diperoleh daya maksimal sebesar 158,08 Watt. Pada sistem TEG, daya yang dihasilkan TEG sebesar 20,64 watt pada perbedaan suhu 70,5˚C. Untuk proses Discharger baterai dari sistem PLTMH-TEG mampu mengisi baterai 12 V 40 W selama 12,1 Jam. Maka dapat disimpulakn potensi sumber aliran air panas gunung sibayak sangat efektifk digunakan sebagai pembangkit listrik.
PULMONARY HYPERTENSION SEVERITY IS NOT A LIMIT FOR MINIMALLY INVASIVE MITRAL VALVE SURGERY: RESULTS OF A MULTICENTRIC OBSERVATIONAL STUDY
Authors: Silvia Mariani S. M. , Barbero C. , Gislao V. , Stefano P. , Centofanti P. , Onorati F. , Rinaldi M. , Marchetto G. 
Published: December 2024

Background and Aim:
Pulmonary hypertension (PH) is diagnosed in 40-70% of patients undergoing mitral valve (MV) surgery. Little is known regarding the outcomes of MV patients with PH receiving minimally invasive surgery. This study compares characteristics and in- hospital outcomes of patients undergoing minimally invasive MV surgery, stratified by systolic pulmonary artery pressure (PAPs).

Methods:
This multi-centre retrospective-prospective observational study included adults undergoing MV operations through right mini-thoracotomy with/without tricuspid valve (TV) surgery and atrial fibrillation (AF) ablation between 2020 and 2024. Comparison were performed between patients with PAPs< 31 mmHg, PAPs 31-55 mmHg, and PAPs>55mmHg based on EuroSCORE II cut-offs for PAPs categories.

Results:
This analysis included 1121 patients (females: 47.5%; median age: 69 years, interquartile range, IQR [59-77]). The median PAPs was 38 mmHg (IQR [30-50]; PAPs<31: n=307, 27.4%; PAPs 31-55: n=152, 55.3%; PAPs>55: n=194, 17.3%). Patients with higher PAPs were older, mainly female, and characterized by more comorbidities including atrial fibrillation and renal disease. A critical perioperative state was diagnosed in 12% of patients with PAPs > 55 mmHg (p<0.001). Patients with higher PAPs underwent more frequently mitral valve replacement and tricuspid annuloplasty and experienced more postoperative dialysis and pacemaker implantation but comparable rates of respiratory and bleeding complications, and in-hospital mortality (PAPs<31: n=3, 1%; PAPs 31-55: n=6, 1%; PAPs>55: n=5, 2.6%; p=0.222) compared to patients with lower PAPs.

Conclusions:
Despite a higher pre-operative complexity, patients with PH could be considered for minimally invasive MV surgery with no increased risks of major intra- or post-operative complications regardless of their PAPs values.
BODY MASS INDEX IMPACT ON MINIMALLY INVASIVE MITRAL VALVE SURGERY: REPORT FROM A MULTICENTER REGISTRY
Authors: Lodo V. , Barbero C. , Weltert L. , Onorati F. , Stefano P. , De Paulis R. , Centofanti P. , Rinaldi M. 
Published: December 2024

Background and Aim:
underweight and obese patients represent an unquestionable challenge for cardiac surgeons. To date only few reports analyze the relationship between patient BMI and minimally invasive mitral valve (MIMV) surgery outcomes. Aim of this study is to evaluate the effect of BMI on patients undergoing MIMV surgery

Methods:
data of consecutive patients undergoing MIMV surgery at 7 high-volume cardiac surgery centers experienced in MIMV surgery were collected. Both MIMV repair or replacement were considered as well as combined procedure. 30-day mortality was defined as the primary end-point. To make a meaningful comparison a propensity score matching was performed

Results:
1692 patients were enrolled. 1463 (86%) were normal weight, 153 (9%) patients were obese and 76 (5%) patients were underweight. Before matching, both underweight and obese patients showed a higher risk profile at surgery when compared to normal weight patients (higher rate of CKD, COPD, previous cardiac surgery and lower EF). Underweight patients showed a higher rate of re-intubation and blood transfusion, while obese patients showed a higher ICU and in-hospital LOS and a higher 30-day mortality. After matching no significant differences were reported in terms of 30-day mortality and post-procedural complications.

Conclusion:
MIMV surgery seems to be a safe and feasible approach in underweight and obese patients too. A high expertise in MIMV surgery and optimal pre-operative planning are mandatory to achieve these results