bluuebunny/crossref_metadata_2025_split huggingface dataset:
Repercussion of Primary Nucleation Pathway: Dementia and Cognitive
Impairment
Authors: Singh Aditya , Ansari Vaseem A. , Mahmood Tarique , Ahsan Farogh , Maheshwari Shubhrat 
Published: December 2023

:
Neurodegenerative diseases, such as Alzheimer's, Parkinson's, and prion disease, are
characterized by the conversion of normally soluble proteins or peptides into aggregated amyloidal fibrils. These diseases result in the permanent loss of specific types of neurons, making them
incurable and devastating. Research on animal models of memory problems mentioned in this
article contributes to our knowledge of brain health and functionality. Neurodegenerative disorders, which often lead to cognitive impairment and dementia, are becoming more prevalent as
global life expectancy increases. These diseases cause severe neurological impairment and neuronal death, making them highly debilitating. Exploring and understanding these complex diseases offer significant insights into the fundamental processes essential for maintaining brain health.
Exploring the intricate mechanisms underlying neurodegenerative diseases not only holds promise for potential treatments but also enhances our understanding of fundamental brain health and
functionality. By unraveling the complexities of these disorders, researchers can pave the way for
advancements in diagnosis, treatment, and ultimately, improving the lives of individuals affected
by neurodegenerative diseases.
Evaluation and Standardisation of Ayurvedic Lepa - A Traditional Lepa
Chikitsa Therapy: An Ayurveda Cosmetology from Traditional to Modern
Perspective
Authors: Gupta Shuvendhu , Singh Amrat , Sharma Alok 
Published: December 2023

Background::
The skin is the largest and most important organ in the human body.
Taking care of the skin is crucial for maintaining beauty and preventing skin issues.

Methods::
Recently, Ayurvedic Cosmetology has become very popular due to its availability,
affordability, and long-lasting benefits. Simple formulations like herbal pastes made from natural
substances, peels, juices, and extracts are applied to the face. An ancient Ayurvedic text called
"The Sharangdhara Samhita" provides detailed information about skin care, preventing skin disorders,
and enhancing beauty. This text specifically focuses on "The Lepa," which refers to topical
applications for skincare and beauty. It mentions a total of 94 types of lepa, including 26 for
treating skin disorders.

Result/Discussion::
The present work is aimed to formulate four different lepa, which are mentioned
in ancient text and standardization was carried out to confirm its identity and quality. Different
parameters such as loss on drying, total ash, acid insoluble ash value, extraction, pH, and
solubility were performed.

Conclusion::
This work highlights a neglected section of Ayurveda that has the potential for future
advancements in skincare and more phytochemical studies are required for the lead identification
of lead molecule.
Ekplorasi Pengaruh Levers Of Control terhadap Kinerja Kreatif pada Perusahaan Startup Indonesia: Studi Kasus pada Perusahaan Startup PT Bukalapak
Authors: Prawitowati Dyah Ayu , Sholihin Mahfud 
Published: December 2023

Penelitian ini bertujuan untuk mendeskripsikan pengaruh Levers of Control (LoC) Simons dalam mendukung kinerja kreatif pada perusahaan startup di Indonesia. Rerangka LoC yang digagas oleh Simons (1995) digunakan dalam penelitian ini sebagai sebuah control package. Penggunaan teori komponen kreativitas dinamis pada penelitian ini sebagai landasan lingkungan kerja yang mampu mendorong pemberdayaan kreativitas personel. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus sebagai metode dalam mengeksplorasi secara mendalam untuk menjelaskan kompleksitas hubungan pengendalian dengan kinerja kreatif, serta mampu mendeskripsikan ketika terjadi kombinasi antarkeduanya. Data diperoleh melalui wawancara semiterstruktur pada personel perusahaan startup Bukalapak. Berdasarkan hasil penelitian ini diperoleh temuan yang menunjukkan bahwa model sistem pengendalian LoC membangun atmosfer kerja yang mendukung kinerja kreatif pada perusahaan startup. Hasil analisis menunjukkan bahwa perlu ada pemberdayaan sumber daya manusia yang tepat bagi startup dengan diberikannya kebebasan dalam mengekspresikan ide dan kreativitas, namun tetap berperannya sistem pengendalian, mampu menjaga keberlangsungan perusahaan.
Efektivitas Penerapan Risk Based Internal Auditing Dalam Meningkatkan Kualitas Manajemen Risiko (Studi Kasus PT PLN UIKL Kalimantan)
Authors: Simarmata Bertuani Casella , Supriyono R.A 
Published: December 2023

Penelitian ini bertujuan untuk menganalisis penerapan audit internal berbasis risiko dalam meningkatkan kualitas manajemen risiko di PT PLN (Persero) UIKL Kalimantan. Penelitian ini menerapkan metode kualitatif dengan pendekatan studi kasus. Penelitian ini menggunakan data primer dan sekunder. Teknik pengumpulan data menggunakan wawancara pada auditor, divisi manajemen risiko, auditee.Hasil penelitian menunjukkan bahwa secara umum pedoman manajemen risiko dan pedoman risk based internal auditing yang dilakukan di PT PLN (Persero) UIKL Kalimantan sesuai dengan prinsip-prinsip maupun definisi serta peran baru internal auditor. Namun, ada yang perlu mendapat perhatian khusus dalam proses penerapan risk based internal auditing guna mencapai hasil yang lebih maksimal. Pada pelaksanaan manajemen risiko, setiap risiko yang bersifat kualitatif harus dikuantifikasikan, sehingga seluruh aktivitas manajemen risiko bersifat kuantitatif.Penelitian ini memberikan kontribusi mengenai efektivitas penerapan audit internal berbasis risiko akibat berubahnya paradigma ilmu audit internal dari tradisional ‘watchdog’ menuju pendekatan berbasis risiko sehingga dapat meningkatkan kualitas manajemen risiko suatu organisasi. Penelitian ini menggunakan objek penelitian PT PLN (Persero) UIKL Kalimantan.
Blanket or tailored prescription of retainers in orthodontics: a questionnaire-based study
Authors: Al-Moghrabi Dalya , Alkadhimi Aslam , Abu Arqub Sarah , Fleming Padhraig S. 
Published: December 2023

ABSTRACT

Objective
To explore retainer protocols and how they are influenced by orthodontic presentation and the nature of occlusal correction.

Materials and Methods
A prepiloted 45-item online questionnaire targeting orthodontists was developed. The questionnaire covered clinical preferences in terms of retainer type, fabrication, and follow-up during retention; the clinical indications for adjunctive surgical procedures; and the use of active designs to mitigate relapse in specific malocclusions.

Results
A total of 206 responses were obtained. The majority of the respondents prescribed maxillary removable and mandibular fixed retainers, with almost half (49.1%) reviewing patients for more than 1 year primarily in person (95.1%). The majority prescribed vacuum-formed (69.6%) 1-mm-thick (44.3%) retainers. Only 37.3% were aware of the type of material used, with polyethylene terephthalate glycol copolymer, followed by polypropylene, being the most common. Hawley retainers were preferred following nonsurgical maxillary expansion and with suboptimal interdigitation. A preference for clear retainers and/or fixed retainers was found in open-bite cases and deep-bite cases. Supracrestal fiberotomy was prescribed commonly (61.1%) for rotations greater than 90°. No retainer was rarely prescribed except after the correction of an anterior crossbite.

Conclusions
Blanket prescription of orthodontic retention is common, with limited awareness of clear plastic retainer materials. Future trials evaluating the effectiveness of approaches for retainer prescription based on the presenting malocclusion would be timely.
Yampil barrows from the fourth and IIIrd millenium BC in the light of Polish-Ukrainian investigations 2010-2014
Authors: Kośko Aleksander , Viktor I. Klochko , Mikhailo Potupchyk , Włodarczak Piotr , Danuta Żurkiewicz 
Published: December 2023

In the vicinity of Yampil (Vinnytsia oblast, Ukraine), there exists a cluster of barrows dating back to the Eneolithic and Early Bronze Age. Nestled upon the Podillia Upland, this concentration lies at the crossroads of two cultural spheres: the Eastern European steppe and Central European. The exploration of the Yampil barrows began during the 1980s by archaeologists from Vinnytsia. This endeavor was enriched by a Polish-Ukrainian expedition that conducted fieldwork from 2010 to 2014. Seven barrows were then examined. Today, an abundance of radiocarbon data empowers us to construct a precise chronological framework for the Yampil barrow graves. We can now discern four principal stages in this sequence: (1) late Eneolithic, (2) early Yamna, (3) late Yamna era, and (4) Catacombna. During the first two periods (3350-2800 calBC), these barrows were meticulously constructed, sometimes evolving in multiple phases. In the latter two stages (2800-2400 calBC), cemeteries took shape, marked by graves thoughtfully dug into the fully formed mounds.
Pengaruh Musik sebagai Media Intervensi Terhadap Kemampuan Anak Berbahasa
Authors: Riyadi Lanang , Sukmayadi Yudi 
Published: December 2023

Purpose: The purpose of this article is to provide an overview of the phenomenon of music intervention on children's language skills. Music interventions are commonly used for children with special needs, but there are advantages to using music as a medium of intervention for children in general. Method: Systematic literature review is the method in this research with the SPIDER strategy. Result and Discussion: The results found eight selected studies that were relevant to the inclusion criteria. The samples were early childhood and elementary school-aged children whose interest phenomenon included musical activities such as listening and singing songs. The interventions were conducted with various designs and evaluations, and the selected research types covered both quantitative and qualitative approaches. Conclusion: This research implies that the overall research in the intervention can improve children's ability in language. It is expected to be a reference, reference, and comprehensive understanding for educators to conduct music interventions for children's language skills.
Интеллектуальная обработка клинических рекомендаций бронхолегочных заболеваний: программное решение для извлечения знаний
Authors: Сметанина Ольга , Сазонова Екатерина , Чиглинцева Свелана , Коровин Евгений 
Published: December 2023

Данное исследование было мотивировано необходимостью снижения времени поиска рекомендаций для лечения пациентов с заболеваниями органов дыхания за счет использования рекомендательной системы. Проблема состояла в ограниченности времени приема для врачей и сложности поиска справочной информации о бронхолегочных заболеваниях или клинических рекомендациях. Цель работы заключалась в разработке и реализации рекомендательной системы на основе инженерии знаний, способной упростить и ускорить поиск информации о лечении и профилактике данных заболеваний.
Для достижения поставленной цели был проведен аналитический обзор в области бронхолегочных заболеваний, включающий классификацию, методы диагностики и лечения, анализ клинических рекомендаций. Также были рассмотрены различные подходы к рекомендательным системам в медицине. Для поиска и отбора медицинских рекомендаций была выбрана модель дистрибутивной семантики word2vec как наиболее рациональная. Был разработан алгоритм, который сочетал поиск совпадающих предложений по регулярным выражениям и модель поиска дистрибутивно-семантических связей word2vec.
В результате исследования были выявлены ограничения в выборе решений для предобработки и генерации медицинских клинических рекомендаций, а также зависимость от иностранных программных продуктов. Был создан алгоритм, способный генерировать индивидуальные рекомендации для пациентов на основе анализа совпадающих предложений по регулярным выражениям. Также были разработаны архитектура и структура базы данных для хранения информации о пациентах, записях приема и диагнозах.
Разработанная рекомендательная система с интегрированным алгоритмом дистрибутивной семантики word2vec значительно сокращает время, затрачиваемое врачами на поиск справочной информации и может быть полезной для специалистов медицинской отрасли. Работа имеет практическую ценность и может служить основой для дальнейших исследований и развития автоматизированных систем в медицине.
Standing left recurrent laryngeal neurectomy for prospective evaluation of laryngeal hemiplegia evaluated by a high-speed treadmill test
Authors: Lean Natasha E. , Franklin Samantha H. , Ahern Benjamin J. 
Published: December 2023

Abstract

OBJECTIVE
To describe left recurrent laryngeal neurectomy (LRLn) performed under standing sedation and evaluate the effect of LRLn on upper respiratory tract function using a high-speed treadmill test (HST). We hypothesized that (1) unilateral LRLn could be performed in standing horses, resulting in ipsilateral arytenoid cartilage collapse (ACC); and (2) HST after LRLn would be associated with alterations in upper respiratory function consistent with dynamic ACC.

ANIMALS
6 Thoroughbred horses.

METHODS
The horses were trained and underwent a baseline HST up to 14 m/s at 5% incline until fatigue. Evaluation included; airflow, pharyngeal and tracheal pressures, and dynamic upper respiratory tract endoscopy. Trans-laryngeal impedance (TLI) and left-to-right quotient angle ratio (LRQ) were calculated after testing. The following day, standing LRLn was performed in the mid-cervical region. A HST was repeated within 4 days after surgery.

RESULTS
Standing LRLn was performed without complication resulting in Havemayer grade 4 ACC at rest (complete paralysis) and Rakestraw grade C or D ACC (collapse up to or beyond rima glottis midline) during exercise. Increasing treadmill speed from 11 to 14 m/s increased TLI (P < .001) and reduced LRQ (P < .001). Neurectomy resulted in an increase in TLI (P = .021) and a reduction in LRQ (P < .001).

CLINICAL RELEVANCE
Standing LRLn induces laryngeal hemiplegia that can be evaluated using a HST closely after neurectomy. Standing LRLn may be useful for future prospective evaluations of surgical interventions for laryngeal hemiplegia.
Computing closeness for some graphs
Authors: Tunçel Gölpek Hande , Aytaç Aysun 
Published: December 2023

Abstract
The analysis of networks involves several crucial parameters. In this paper, we consider the closeness parameter, which is based on the total distance between every pair of vertices. Initially, we delve into a discussion about the applicability of the closeness parameter to Mycielski graphs. Our findings are categorized based on the underlying graph’s diameter. The formula for calculating the closeness of a Mycielski graph is derived for graphs with a diameter of less than or equal to 4. Furthermore, we establish a sharp lower bound for the closeness of a Mycielski graph when the diameter of the underlying graph is greater than 4. To achieve this, the closeness of the Mycielski transformation of a path graph plays an important role. Additionally, leveraging the obtained results, we examine the closeness of a special planar construction composed of path and cycle graphs, as well as its Mycielski transformation.
The eccentricity-based topological indices
Authors: Ozkan Kizilirmak Gul 
Published: December 2023

Abstract
The aim of this paper is to obtain some relationships between eccentricity-based topological indices as the eccentric connectivity, connective eccentricity, total eccentricity, second Zagreb eccentricity, first Zagreb eccentricity connectivity, first eccentricity connectivity and first Zagreb eccentricity connectivity of a simple connected graph.
AnnoCerv: A new dataset for feature-driven and image-based automated colposcopy analysis
Authors: Minciună Dorina Adelina , Socolov Demetra Gabriela , Szőcs Attila , Ivanov Doina , Gîscă Tudor , Nechifor Valentin , Budai Sándor , Gál Attila , Bálint Ákos , Socolov Răzvan , Iclanzan David 
Published: December 2023

Abstract
Colposcopy imaging is pivotal in cervical cancer diagnosis, a major health concern for women. The computational challenge lies in accurate lesion recognition. A significant hindrance for many existing machine learning solutions is the scarcity of comprehensive training datasets.
To reduce this gap, we present AnnoCerv: a comprehensive dataset tailored for feature-driven and image-based colposcopy analysis. Distinctively, AnnoCerv include detailed segmentations, expert-backed colposcopic annotations and Swede scores, and a wide image variety including acetic acid, iodine, and green-filtered captures. This rich dataset supports the training of models for classifying and segmenting low-grade squamous intraepithelial lesions, detecting high-grade lesions, aiding colposcopy-guided biopsies, and predicting Swede scores – a crucial metric for medical assessments and treatment strategies.
To further assist researchers, our release includes code that demonstrates data handling and processing and exemplifies a simple feature extraction and classification technique.
Precognition of mental health and neurogenerative disorders using AI-parsed text and sentiment analysis
Authors: Biró Attila , Cuesta-Vargas Antonio Ignacio , Szilágyi László 
Published: December 2023

Abstract
The paper examines the potential of artificial intelligence (AI) in parsing text and conducting sentiment analysis to identify early markers of mental health and neurodegenerative disorders. Through the analysis of textual data, we investigate whether AI can provide a noninvasive, continuous, and objective complement to traditional diagnostic practices.

Background: the early detection of mental health (such as depression, anxiety, psychotic disorders, Alzheimer’s disease and dementia) and neurodegenerative disorders (like Parkinson’s disease) remains a critical challenge in clinical practice. Traditional diagnostic methods rely on clinical evaluations that may be subjective and episodic. Recent advancements in AI and natural language processing (NLP) have opened new avenues for precognitive health assessments, suggesting that variations in language and expressed sentiments in written text can serve as potential biomarkers for these conditions.

Materials and Methods: the research used a dataset comprising various forms of textual data, including anonymized social media interactions, transcripts from patient interviews, and electronic health records. NLP algorithms were deployed to parse the text, and machine learning models were trained to identify language patterns and sentiment changes. The study also incorporated a sentiment analysis to gauge emotional expression, a key component of mental health diagnostics.

Results: the AI models were able to identify language use patterns and sentiment shifts that correlated with clinically validated instances of mental health symptoms and neurodegenerative conditions. Notably, the models detected an increased use of negative a ect words, a higher frequency of first-person singular pronouns, and a decrease in future tense in individuals with depression. For neurode-generative conditions, there was a notable decline in language complexity and semantic coherence over time.

Conclusions: the implemented pipeline of AI-parsed text and sentiment analysis appears to be a promising tool for the early detection and ongoing monitoring of mental health and neurodegenerative disorders. However, these methods are supplementary and cannot replace the nuanced clinical evaluation process. Future research must refine the AI algorithms to account for linguistic diversity and context, while also addressing ethical considerations regarding data use and privacy. The integration of AI tools in clinical settings necessitates a multidisciplinary approach, ensuring that technological advancements align with patient-centered care and ethical standards.
Analysis of the genetic diversity and population structures of black locust (Robinia pseudoacacia L.) stands in Poland based on simple sequence repeat markers
Authors: Szyp-Borowska Iwona , Zawadzka Anna , Wojda Tomasz , Klisz Marcin 
Published: December 2023

Abstract
Black locust (Robinia pseudoacacia L.) was introduced in Poland over 200 years ago, and its distribution area now covers the whole country, with the highest concentration of occurrence in the western part. Breeding of this species has been started in Poland for about 20 years, albeit on a limited scale, and two selected seed stands, 34 plus trees and two seed orchards have been registered. So far, selection efforts have not been coupled with the recognition of variation in the genetic structure of local populations. To fill the knowledge gap on genetic diversity, we selected the seven qualitatively best populations of R. pseudoacacia for our study. To clarify the origin of the Polish population of R. pseudoacacia, a sample from a seed stand in eastern Germany and from a seed orchard with Hungarian clones from the Oborniki Śląskie Forest District was added. In this study, three microsatellites were used to evaluate genotypes: Rops15, Rops16 and Rops18, with the Rops15 locus (motif AG) showing hypermutability. Moderate or high variability was observed in all microsatellite loci examined, with a total of 27 alleles identified. In all stands, the average observed number of alleles per locus was higher than the average effective number of alleles per locus. Three main clusters have been identified in the genetic structure of the population, one of which is represented by the population from the Regional Directorate of State Forests in Zielona Góra. The second group comprised the populations from Mieszkowice, the populations Pińczów and Wołów, and the population from Germany. The last one included population from Strzelce and Oborniki Śląskie, where the population from Hungary is represented. This may be of great importance for practice. Perhaps it is worth postulating the separation of two seed regions. Under most scenarios, climate change is projected to change the distribution of forest types and tree species in all biomes. It can be assumed that the importance of black locust in times of climate change is likely to increase.
Elders’ experience with augmented gaze: preliminary observations
Authors: Dalmasso Vittorio , Moretti Michela , Baud-Bovy Gabriel , Høeg Emil Rosenlund , Cozzi Roberto , Ippolito Jacopo , de’Sperati Claudio 
Published: December 2023

Abstract
Research on elders’ acceptance of virtual technologies is much needed. Here we studied the user experience of elders (N = 10, mean age = 88.2 years) during virtual biking, an exergame where participants pedal on a cycle ergometer and wear a Head-Mounted Display that provides them an immersive experience of a bike ride. We tested the effects of augmented gaze on user experience. Augmented gaze is a condition in which horizontal head turns yield amplified visual shifts, which is assumed to facilitate visual exploration. User experience was measured by asking participants to rate satisfaction, motivation, sense of presence and sense of safety. We found a very good acceptance of virtual biking and no signs of negative effects of augmented gaze. These preliminary observations suggest that augmented gaze may be a viable optimization of elders’ experience with certain virtual reality applications.