bluuebunny/crossref_metadata_2025_split huggingface dataset:
Congenital Tracheal Stenosis: Two Case Reports and Literature Review
Authors: Matera Luigi , Nenna Raffaella , Frassanito Antonella , Conti Maria Giulia , Petrarca Laura , Mancino Enrica , Di Mattia Greta , La Regina Domenico Paolo , Iovine Elio , Virgili Fabrizio , Spatuzzo Mattia , Midulla Fabio 
Published: March 2024

Background:
Congenital tracheal stenosis is defined as the narrowing of the airway lumen
due to the abnormal formation of complete tracheal cartilage rings. It may present with different
clinical pictures, depending on the range and extent of stenosis. We present two cases of congenital
tracheal stenosis, with a different range of severity and, consequently, different treatment
approaches.

Case Presentation:
We describe the case of a 3-month-old infant with breathing noise that worsened
particularly when crying and after nutrition. He presented a congenital funnel-shaped
tracheal stenosis with an associated tracheal bronchus, which was treated endoscopically with an
endobronchial stent. The second presented case is of a newborn who presented severe respiratory
distress and inspiratory stridor in the first hours of life. A congenital cylindrical tracheal stenosis
was diagnosed and it was treated surgically through slide tracheoplasty.

Discussion:
These two cases showed us that congenital tracheal stenosis can present with a very
variable clinical picture. Thus, according to clinical presentation, different treatments can be considered.

Conclusion:
We underline the importance of considering congenital tracheal stenosis in the differential
diagnosis of prolonged wheezing and recurrent airway infections.
A Review on Working Principle and Advanced Applications of
Fluorescence activated Cell Sorting Machine (FACS)
Authors: Garg Gurisha , Patel Preeti , Gupta Ghanshyam Das , Kurmi Balak Das 
Published: March 2024

Abstract:
Various technologies, like flow cytometry and cell sorting, have been established in
fields of biomedical research. Fluorescence-activated cell sorting is one of the most powerful
techniques to witness advancement in these years. This article aims to provide an in-depth
overview of the FACS applications, along with regulatory considerations and qualification parameters
for the instrument. Moreover, specifications of instruments from different brands
with specialized features are mentioned. FACS is a cornerstone in clinical diagnostics. This
review highlights the current advancements and versatility of this indispensable technology,
and the said information would be a focal paradigm for the upcoming biomedical and pharmaceutical
research.
Concept of Artava and its applied aspect in Stree Roga
Authors: Priyanka  , Jitesh Kumar Panda  , Suniti Tanwar  
Published: March 2024

Women represent the cornerstone of a family’s overall health. Healthy women, Healthy world embodies that women are custodians of family health; they play a critical role in maintaining the health and overall wellbeing of community. In Ayurveda word “Artava” denotes menstrual blood. Artava is related to 2 seasons i.e., it may be due to presence of Ritukala (ovulation period) and Rajakal (menstruation period) in women. Human body is controlled by the three energies called Tridoshas - Vata, Pitta and Kapha which are characterized under seven Dhatus. These Dhatus have Updhatus also. Artava (menstrual blood) is one of the Updhatus of Rasa Dhatu.[1] The specific characteristics of menstrual blood with its physiological and pathological variation described in Ayurveda classics as Shudhartava and Artavdhusti respectively help in identifying the hormonal status of women. Shudhartava plays crucial role in maintaining women’s healthy reproductive life. When Artava is not quite same as highlights of Shudhartava mentioned in classics then there may be Artavdushti or menstrual abnormalities like dysmenorrhoea, menorrhagia, amenorrhoea etc uterine disorders like endometriosis, adenomyosis, uterine fibroid, etc which may be cause of infertility. Ayurveda classics explains about colour, texture, specific smell, amount and other associated features like type of pain in various Artavdushti. So, only by observing menstrual blood variation we can find out the disease associated with it. Thus, study of Artava and Artavdhusti plays a very significant role in diagnosis of pathological disorders related with female reproductive system.
A clinical assessment of Dhatu with Nadi Parikshan
Authors: Aishwarya Pandey  , Ashok Kumar Sharma  
Published: March 2024

According to Ayurveda, the human body's physiology revolves around the balance of the Dosha, Dhatu, and Mala.[1] Dhatu acts as both structural and functional components of body. It gives strength to the body and performs many functions including nourishment of body, circulation of biomaterials, holding up the organs, reproduction and maintenance of body frame, etc. In Ayurveda the method of diagnosis and reporting of various clinical parameters has been mentioned under pulse diagnosis. It is a very important diagnostic tool referred to as the Ashtvidhpariksha. The only non-invasive diagnostic approach that can identify the state of Dosha is the Ayurvedic pulse diagnosis; however, it takes a lot of regular practice.
Ayurvedic approach to Embryogenesis: Exploring Fetal Development
Authors: Varsha  , Himanshu Chouhan  
Published: March 2024

Background: Embryology in Ayurveda is the study of embryonic and fetal development using Ayurvedic principles. Ayurveda describes the conception process, fetal development, and the effect of Doshas (biological energies) on the fetus's growth and health. Ayurvedic embryology emphasizes the mother's health and well-being during pregnancy, as well as the effect of the father's Doshas on the child's genetic makeup. It also includes prenatal care guidelines, such as diet, lifestyle, and herbal remedies, to help the fetus develop normally. Aims: This review applies Ayurvedic concepts of Grabhasharir to embryology, analyzing the genesis of progeny using modern scientific knowledge. Materials and Methods: Brihattrayee along with other relevant literature were reviewed to identify the hidden core of embryology described in chapters about Garbhasharir. Results: The Ayurvedic essence outlines two types of processes in progeny genesis: dependent and independent, with dependent processes modifying and independent processes unaffected by parental efforts. Conclusion: Even though the embryology concepts outlined in Ayurveda extend back millennia, they are still relevant in today's scientific world when properly interpreted.
Pharmaceutical analytical study of Baladi Kwatha and to evaluate the effect of various concentration of preservatives in it
Authors: Vrashank V Gaitonde  , Seema M.B  , Surekha S Medikeri  
Published: March 2024

Due to advent of commercialization longer shelf-life becomes the need of the hour for various pharmaceutical products, especially for the preparation of Kwatha Kalpana (Decoction). The shelf-life of Kwatha is 1 Prahara (3 hours). According to Acharya Sharangadhara it is considered as Sadhyo-sevana. Panchavidha Kashaya Kalpana are considered as basic pharmaceutical preparation and the most important form of Kalpana. But the preparation of Kwatha is not possible all the times as the shelf life of Kwatha is short and makes it impossible to market it as soon as it is prepared. Therefore, there is need to find different ways to preserve the Kwatha for longer duration for their easier usage and transportation. This present study is carried out mainly in 3 stages, that is, pharmaceutical study, analytical study and microbiological study. In pharmaceutical study, the preparation of Baladi Kwatha was carried out as per the classical reference of Shamana Kashaya and they were added with different ratios of preservatives (SB-0.1%, SB-0.2%, SB-0.2% + MP-0.05% + PP-0.05%, SB-0.48% + MP-0.1% + PP-0.1%). No much changes were noted in analytical studies. Preservatives like, sodium benzoate, in permitted amounts could only preserve acidic Kwatha for a shorter period. Hence, marketing Baladi Kwatha with sodium benzoate cannot be properly stabilized by 0.1% & was observed that at least 0.2% is required to preserve the Kwatha for 60 days free from microbial contamination. It was observed that as per the permissible limit, the preservatives when used in combination of sodium benzoate 0.2%, methyl paraben 0.05%, propyl paraben 0.05%, has passed the shelf-life for 3 months.
PARTISIPASI DOSEN DALAM PENGAMBILAN KEPUTUSAN HASIL BELAJAR MAHASISWA
Authors: DS Sukirno 
Published: March 2024

The relationship beween particiption and marugeial performance has been ataaing not onty the business resmrchers bui also the educaional researchers. Nevenhclcss, represented for the topic of research has not consistmt conchsion and stiil limited in number, especialtv the education sectors. The purpose of tttis research vws to enpiricalty exanine the rehtionship between lecntrers panicipoion in decision making and pniciption satisfaction and srudmt otocomes in which organizption learning oppornnities and instnrctionar improvement gahered become intentening variobles. The needed were bt qucstionnaires. Lecturers who teach in accowuing The sCInptc of this research was coilcge depmnent in Dacrah Istimewa Yogyokarta. The samplz vns drawn by rtsing purposive technique- The resporce and utarsable rate were respeoivety (120 pieces) ord 5,a3 7o (7 pieces). The gathered'aou with regression, conel.ation arul path anatysis to te$ the research hypothesis. The results indicated that there are direct and indirect interaction betue.en rccturers prticipation satisfaction of the lecures on their on satdints'outcortcs.
TESTING OF PROCESSING OIL WASTE TO BE BIODIESEL AS A FUEL ALTERNATIVE MOTOR DIESEL
Authors: Widjanarko Dwi , Abdurrahman Abdurrahman , Hadromi Hadromi 
Published: March 2024

The objectives of this research are to desain and to test the biodiesel processing unit from waste cooking oil, to examine the characteristics of processed biodiesel, and to apply the biodiesel on diesel engine to ensure that there will not be a problem on the tested diesel engine. This research is an experiment research carried out by several steps, designing waste cooking-biodiesel processing unit, examining the characteristics ofbiodiesel made, and applying the biodiesel on diesel engine. The result showed that the biodtesel processing unit that was made could work well to produce biodiesel. The biodiesel characteristics are comparable with diesel oil and the biodiesel is applicable on diesel engine without any problems accured. Keywords: biodiesel, waste cooking oil, alternative fuel, diesel engine
Suicide Prevention by Peers Offering Recovery Tactics (SUPPORT) for US Veterans With Serious Mental Illness: Community Engagement Approach
Authors: Chalker Samantha A , Serafez Jesus , Imai Yuki , Stinchcomb Jeffrey , Mendez Estefany , Depp Colin A , Twamley Elizabeth W , Fortuna Karen L , Goodman Marianne , Chinman Matthew 
Published: March 2024

Background
Peer specialists are hired, trained, and accredited to share their lived experience of psychiatric illness to support other similar individuals through the recovery process. There are limited data on the role of peer specialists in suicide prevention, including their role in intervention development.

Objective
To better understand peer specialists within the Veterans Health Administration (VHA), we followed partnership community engagement and a formative research approach to intervention development to (1) identify barriers, facilitators, and perceptions of VHA peer specialists delivering a suicide prevention service and (2) develop and refine an intervention curriculum based on an evidence-informed preliminary intervention framework for veterans with serious mental illness (SMI).

Methods
Following the community engagement approach, VHA local and national peer support and mental health leaders, veterans with SMI, and veteran peer specialists met to develop a preliminary intervention framework. Next, VHA peer specialist advisors (n=5) and scientific advisors (n=6) participated in respective advisory boards and met every 2-4 months for more than 18 months via videoconferencing to address study objectives. The process used was a reflexive thematic analysis after each advisory board meeting.

Results
The themes discussed included (1) the desire for suicide prevention training for peer specialists, (2) determining the role of VHA peer specialists in suicide prevention, (3) integration of recovery themes in suicide prevention, and (4) difficulties using safety plans during a crisis. There were no discrepancies in thematic content between advisory boards. Advisor input led to the development of Suicide Prevention by Peers Offering Recovery Tactics (SUPPORT). SUPPORT includes training in general suicide prevention and a peer specialist–delivered intervention for veterans with SMI at an increased suicide risk. This training aims to increase the competence and confidence of peer specialists in suicide prevention and the intervention supports veterans with SMI at an increased suicide risk through their recovery process.

Conclusions
This paper intends to document the procedures taken in suicide prevention intervention development, specifically those led by peer specialists, and to be a source for future research developing and evaluating similar interventions.

Trial Registration
ClinicalTrials.gov NCT05537376; https://classic.clinicaltrials.gov/ct2/show/NCT05537376
Aspek Keadilan Bagi Lingkungan Hidup dan Masyarakat Akibat Reklamasi Wilayah Pesisir
Authors: Wattimena Josina Augustina Yvone , Leatemia Wilshen 
Published: March 2024

Reklamasi wilayah pesisir merupakan kegiatan yang marak terjadi hampir di seluruh wilayah Indonesia. Kegiatan ini menjadi solusi untuk menjawab permasalahan keterbatasan lahan daratan dan untuk memenuhi kebutuhan pembangunan. Faktanya reklamasi yang dilakukan termasuk di wilayah pesisir kota Ambon, ternyata memberikan kerusakan terhadap ekosistem pesisir dan menimbulkan ancaman terhadap beberapa daerah pesisir di Kota Ambon, yang tentu saja secara langsung maupun tidak langsung berdampak bagi masyarakat yang bermukin pada wilayah pesisir. Penelitian ini bertujuan untuk menganalisis dan mengetahui aspek keadilan bagi lingkungan hidup dan masyarakat akibat reklamasi wilayah pesisir kota Ambon. Penelitian ini menggunakan pendekatan empiris. Hasil dari penelitian menunjukan bahwa permasalahan reklamasi wilayah pesisir sangat memberikan ketidakadilan bagi masyarakat wilayah pesisir beserta lingkungan tempat berdiam mereka. Hukum yang dijadikan sarana pembaharuan untuk meningkatkan aspek kesejahteraan manusia dan menjaga serta melestarikan lingkungan hidup ternyata tidak dapat dijadikan sebagai instrument hukum yang â€œpro rakyatâ€ dan â€œpro keadilanâ€. Sejatinya ketika mereka mengalami ekses akibat reklamasi, mereka harus diberikan kompensasi dang anti kerugian sebagai bentuk keadilan korektif sebagaimana disampaikan oleh Aritoteteles dan Thomas Hobbes
On Robustness of the Explanatory Power of Machine Learning Models
Authors: Panigrahi Banamali , Razavi Saman , Doig Lorne E , Cordell Blanchard , Gupta Hoshin V. , Liber Karsten 
Published: March 2024

Machine learning (ML) is increasingly considered the solution to
environmental problems where only limited or no physico-chemical process
understanding is available. But when there is a need to provide support
for high-stake decisions, where the ability to explain possible
solutions is key to their acceptability and legitimacy, ML can come
short. Here, we develop a method, rooted in formal sensitivity analysis
(SA), that can detect the primary controls on the outputs of ML models.
Unlike many common methods for explainable artificial intelligence
(XAI), this method can account for complex multi-variate distributional
properties of the input-output data, commonly observed with
environmental systems. We apply this approach to a suite of ML models
that are developed to predict various water quality variables in a
pilot-scale experimental pit lake.
A critical finding is that subtle alterations in the design of an ML
model (such as variations in random seed for initialization, functional
class, hyperparameters, or data splitting) can lead to entirely
different representational interpretations of the dependence of the
outputs on explanatory inputs. Further, models based on different ML
families (decision trees, connectionists, or kernels) seem to focus on
different aspects of the information provided by data, although
displaying similar levels of predictive power. Overall, this underscores
the importance of employing ensembles of ML models when explanatory
power is sought. Not doing so may compromise the ability of the analysis
to deliver robust and reliable predictions, especially when generalizing
to conditions beyond the training data.
Does Integrated Report Quality Matter for Supplier Financing?
Authors: Bose Sudipta , Hossain Amir 
Published: March 2024

ABSTRACT
This study examines the relationship between integrated report quality (IRQ) and supplier financing using 603 firm-year observations from firms listed on the Johannesburg Stock Exchange (JSE) between 2011 and 2021. We find that IRQ has a positive association with supplier financing, indicating that firms with higher IRQ are more likely to attract increased supplier finance. This positive IRQ-supplier financing relationship is further intensified by lower information asymmetry, implying that firms’ information environment plays a pivotal role. Mediation analysis indicates that information asymmetry and creditworthiness serve as underlying channels through which IRQ affects supplier financing. The IRQ-supplier financing interaction is also found to increase firms’ value. The study’s findings are crucial for stakeholders, such as report preparers, regulators, policymakers, the IIRC, IASB, ISSB, and JSE. These findings highlight IRQ’s importance in enhancing supplier finance and indicate further steps to enhance IRQ for fostering financial stability and sustainable development worldwide.
Data Availability: All data are publicly available from the sources mentioned in the paper.
JEL Classifications: G32; M41; M42.
The Impact of Artificial Intelligence on the Accounting Subject Curriculum
Authors: Petrová Pavlína 
Published: March 2024

Abstract
This article looks at how artificial intelligence affects the teaching of accounting in secondary schools. The article is divided into three parts. The first part of the article is devoted to literature research on the topic of the implementation of artificial intelligence in the curriculum within the subject of accounting. In the second part of the article, the methodology for the implementation of the author’s own research is described. The third part of this article deals with the research itself, whether artificial intelligence is implemented in the curriculum of secondary schools, within the subject of accounting. The pupils are already preparing for their future profession in schools, which has already moved forward thanks to the implementation of artificial intelligence. 43 respondents participated in the research that was conducted in two secondary schools where the subject of Accounting is taught.
Basic Logical and Empirical Principles of the Concept of Heterogeneity
Authors: Boyon Jérôme 
Published: March 2024

Abstract
Catherine David introduced the concept of heterogeneity during a seminar for teachers. This problematic situation forces teachers to organize a unified course for students mastering the target language at different levels. Taking into account the specific needs of students and their behavior, referred to as learning strategy or style, the concept of heterogeneity finds empirical justifications, which consider it an inevitable element of didactics. The conclusions of this concept are derived from scientific changes at the beginning of the 21st century. In the very specific interpretative logic of the Copenhagen orthodox school, adopted by Christian Puren’s epistemology, the concept of heterogeneity becomes inextricably linked with the concepts of complementarity and complexity. Catherine David proposes to take up this challenge of teaching a heterogeneous class by introducing a differentiated pedagogy, which is presented in the final part of the article.
Research on Fault Diagnosis System of IOT for Oil Well Pump Based on Machine Learning
Authors: Xiao Bozhi , Lu Yangbing , Wang Miao , Li Haojie , Zhu Hengyan , Cao Xuan , Yang Shengquan 
Published: March 2024

Abstract
In order to realize automatic prediction and processing of remote fault diagnosis of oil well pumps distributed in different regions by crude oil production enterprises, a fault diagnosis system for oil well pumps based on machine learning was researched and designed. This fault diagnosis system is composed of three layers (perception layer, network layer and control application layer) Internet of Things structure. The function and characteristics of each layer are analyzed in this paper, and the hardware composition and control principle of sensor nodes and aggregation nodes of the measurement and control system are discussed and gives the node microcontroller program design flow chart and the main module content of the IoT central computer software design. This paper focuses on the principle of machine learning for fault diagnosis and prediction, and deeply explains the algorithm steps of using LSTM for fault diagnosis of oil well pumps. The enterprise application experiment results show that, compared with the traditional manual well patrol fault diagnosis method, this system has the advantages of convenient operation and maintenance, low labor intensity, high timeliness and accuracy of fault diagnosis, which can better reduce equipment maintenance costs for enterprises.
Research on Iris Feature Extraction and Recognition Technology Based on Deep Learning
Authors: Chen Yufei , Zhao Yiyang , Zhao Bing , Wei Hao 
Published: March 2024

Abstract
Certain biological information or behavioral information of a person can achieve the effect of characterizing an individual, and by combining the computer to extract the corresponding information, identity authentication is achieved. In a variety of biometrics, iris relative to fingerprints, handwriting and face, belongs to the structure within the human eye, if you want to steal is very difficult, in order to improve the safety factor, so the iris is used for authentication to achieve iris recognition. This study is based on deep learning iris recognition matching, in order to be able to effectively improve the accuracy of iris recognition, experiments are carried out. Evaluation metrics are performed through Hamming distance to calculate the correct recognition rate to ensure that the iris information can be accurately represented. This study mainly uses the improved PCHIP-LMD algorithm and CNN algorithm, the LMD algorithm is more context-aware, has better generalization ability, flexibility and scalability, while the CNN algorithm has the advantages of local awareness, parameter sharing and automatic parameter learning. In this study, we compare the correct recognition rate of iris recognition between improved PCHIP-LMD and CNN algorithms and get the conclusion that the correct recognition rate of the improved PCHIP-LMD algorithm is only 78%, which is much smaller than that of the CNN algorithm which is 92%, and we get the conclusion that LMD algorithm is suitable for iris recognition with few samples, and it is more suitable to use CNN algorithm when the sample images are too many. CNN algorithm. With the development of technology, the application of iris recognition will be more and more, I believe that soon will be widely popularized in daily life and work.