bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multivariate and predictive analysis of Côte d'Ivoire consumer price index
Authors: N'Dri Yao Aubin , Kouakou Auguste Konan , Kamagaté Amadou , Hili Ouagnina 
Published: January 2025

Abstract

The high cost of living is a problem facing consumers in Cˆote d’Ivoire. This paper attempts to explain this high cost of living using principal component analysis (PCA) and hierarchical ascending classification (HAC). The aim is also to achieve the best possible prediction of the consumer price index (CPI) using multiple linear regression, and then to find the determinants involved in its explanation. The PCA and HAC methods have revealed three clusters. Cluster1: January 1997 to January 2003; cluster2: February 2003 to October 2012 and cluster3: November 2012 to December 2023. Compared with clusters 1 and 3, the CPI increased by an average of 53.074%. Consequently, the real value of 100000 FCFA is now 65326.971 FCFA. The high cost of living began in February 2003. It has intensified since December 2012. The relationships between the indices were studied. It was concluded that there is a strong correlation and also multicollinearity between them. A model was built to predict the CPI. In long term, the indices to be taken into account are the Housing, Water, Electricity, Gas and Other Fuels (HWE) and, Food and non-alcoholic beverages. In short term, the HWE and, Restaurants and Hotels indices. An interpretable model with the sub-indices was constructed using principal component regression. It revealed that all the sub-indices are positively correlated with the CPI. This means that a positive variation in one of them will lead to an increase in this index.
MSC Classification: 62A09 , 62H25 , 62H30 , 62J10 , 62P12
Genome‑wide Characterization of the cotton FAR gene family reveals a positive role of GhFAR3 in Verticillium dahliae resistance
Authors: Cheng Wenhan , Gao Siqi , He Zhaojie , Aini Nurimanguli , Zhao Zengqiang , Xiong Xianpeng , Wang Ning , Rui Chen , Feng Keyun 
Published: January 2025

Abstract

Fatty acyl-CoA reductase (FAR) proteins play a crucial role in plant growth and development. Previous studies on FAR proteins primarily focused on their involvement in the synthesis of suberin and waxes, while limited attention has been given to their roles in biotic and abiotic stress responses. In this study, 31 FAR genes were identified across Gossypium arboreum, G. raimondii, G. hirsutum, and G. barbadense. Bioinformatics analyses revealed that cotton FAR genes cluster into three distinct groups, with conserved motifs, exon-coding sequences, and domains among genes within the same group. Promoter analysis identified numerous cis-acting elements associated with plant hormone regulation in GhFAR genes, highlighting their regulatory potential. Gene family expansion was predominantly driven by whole-genome duplication events. Expression profiling demonstrated that FAR genes are expressed in various cotton tissues, with most showing reduced expression under abiotic stresses but significantly increased expression following Verticillium dahliae infection. Functional analysis using virus-induced gene silencing (VIGS) of GhFAR3 revealed that its silencing compromises disease resistance by reducing suberin accumulation in roots. This study provides a comprehensive genome-wide identification and characterization of FAR genes in cotton, emphasizing their potential biological functions. Furthermore, it establishes GhFAR3 as a key player in enhancing cotton resistance to V. dahliae, mediated through suberin biosynthesis in roots.
Giant Dentigerous Cyst in a Child Treated with Minimally Modified Invasive Marsupialization and Decompression: A Case Report with 30 months Follow-up
Authors: Li Wenlong , Sun Shukai , Wang Mingjun , Xue Xin , Yang Lu , Yang Fengjiao , Zhang Tianyu , Wu Li-an 
Published: January 2025

Abstract

Background
Dentigerous cysts are a type of inflammatory odontogenic cyst that arises from tissues surrounding an unerupted or impacted tooth. If left untreated, they can grow into a substantial size, resulting in cortical expansion and facial asymmetry. It can cause the roots of the affected teeth to be absorbed, affecting the stability of the teeth and resulting in tooth loosening and displacement. In severe cases, the teeth may fall out. In addition, if the cyst becomes infected, there will be obvious pain and swelling in the local area, and even fistulas may form with pus flowing out, causing pain to patients. For the treatment of dentigerous cysts, enucleation is typically indicated for dentigerous cysts involving fewer than two teeth. Dentigerous cysts involving more than two teeth usually require marsupialization and decompression. In recent years, some researchers have attempted minimally invasive treatment, but it is difficult for roots that have completed development and have a large inclination angle to spontaneously sprout. However, for children, owing to their potential for growth and development, the treatment methods are not exactly the same as those for adults.
Case presentation
we present a case of a 12-year-old girl with a 33.1 mm *20.3 mm * 33.6 mm dentigerous cyst in the mandibular second premolar region. The 35 tooth roots were fully developed and horizontally impacted, with the highest point being lower than the neck of the adjacent tooth. Given that the child was still in the mixed dentition stage, a marsupialization and drainage procedure, i.e., extraction of 75, was performed. Surprisingly, it aligned naturally into the dental arch at 2.5-year follow-up.
Conclusions
We provide a new method for the minimally invasive treatment of large dentigerous cysts in children.In adolescents with dentigerous cysts, even if the area of the dentigerous cysts is large, the root of the inherited permanent tooth is fully developed, and the inclination angle of the tooth is large, it is still possible to make it naturally erupt through marsupialization and decompression.
The Ottoman-Turkish Transliteration using Traditional NLP Techniques
Authors: Dölek Ishak , Kurt Atakan 
Published: January 2025

Abstract

Ottoman-Turkish transliteration is a relatively new problem. To make a vast amount of historical documents, books, newspapers, and magazines accessible to a wider audience unfamiliar with the Ottoman script, it is necessary to transliterate the Ottoman script into the Latin-based Turkish script. This study employs traditional NLP techniques to develop a dictionary-based Ottoman-Turkish transliteration system. Using a dataset of 2403 sentences and 31K words, we achieved a Word Error Rate (WER) of 20.69% (raw), 6.31% (normalized) and a Character Error Rate (CER) of 6.46% (raw) 3.01% (normalized), resulting in a BLEU score of 51.90 (raw) 77.18 (normalized). The results show that the proposed system has a promising performance for Ottoman-Turkish transliteration.
Effect of nanoparticles of tranexamic acid on Intra-Abdominal Adhesion after Laparotomy on rat
Authors: Zehforoush Salar , Jahandideh Alireza , Alinaghizadeh MohammadMahdi , Karimi Hamed 
Published: January 2025

Abstract

Background:Intra-abdominal adhesions frequently arise as a complication following abdominal surgeries. These adhesions lead to internal scarring as a result of damage to abdominal organs, including the peritoneum.
Purpose:This research explores the effects of a Nano-formulated version of tranexamic acid on intra-abdominal adhesions in rats, utilizing both microscopic and macroscopic analysis.
Methods: A total of thirty adult male Wistar rats (weighing between 300 and 350 grams) were randomly divided into three treatment groups: a control group, a group receiving Nano-drug tranexamic acid (50 mg/kg), and a group receiving standard tranexamic acid (50 mg/kg). Anesthesia was administered via intramuscular injections of 10% ketamine (50 mg/kg) and 2% xylazine (5 mg/kg) as per established guidelines. Adhesion was induced in all subjects by making incisions in the abdominal wall. On days 14 and 28 post-surgery, all rats underwent a second laparotomy, during which the extent of intra-abdominal adhesions was evaluated through both macroscopic and microscopic inspections.
Results:The macroscopic evaluation indicated a marked reduction in the formation of adhesion bands within both the Nano-drug and standard drug treatment groups when compared to the control group (P<0.05). The Nano-drug treatment group exhibited the least amount of adhesion, whereas the control group showed the greatest incidence. Microscopic examination of pathological slides from the adhesion sites revealed that levels of inflammation and fibrotic tissue development were significantly reduced in both treatment groups versus the control group (P<0.05).
Conclusions:The Nano-drug group exhibited the lowest levels of inflammation and fibrotic tissue, while the highest levels were recorded in the control group.
A Combinatorial Lower Bound of the Storage Cost of Shared Memory Emulation
Authors: Shi Yusong , Liu Weidong 
Published: January 2025

Abstract

This paper aims to obtain a lower bound of the storage cost of emulating an atomic shared memory over an asynchronous distributed message passing system using topological techniques. Previous literature has developed several shared memory emulation algorithms based on replication and erasure coding techniques. A common insight that applies to all the algorithms is that the worst-case storage cost of implementing an atomic shared memory object grows with the number of concurrent active writes. A natural question is whether the growth of storage complexity is intrinsic to any algorithm that implements an atomic shared-memory object. It was known that the storage cost cannot be lower than $\frac{N}{N - f}log_{2}|V|$ using the classic coding theoretic result. Previous literature gives a result approximately twice as strong as $\frac{N}{N - f}log_{2}|V|$, and partially answers this question in the positive when the write protocol has certain restrictions. We develop a lower bound using combinatorial techniques to answer this question without restrictions on the algorithm. Our topological structure provides a modeling of the client-server architecture which is widely used in modern distributed systems.
Thermodynamics and structure of 2D aliphatic alcohol monolayers on graphene within quantum chemical approach
Authors: Kartashynska E. S. 
Published: January 2025

Abstract

The study reports results from the quantum chemical assessment of the spontaneous monolayer formation of fatty alcohols CnH2n+1ОН (n = 6 − 14) at the graphene-like surface modeled by polyaromatic hydrocarbon (PAH) within the PM6-DH2 method. Unlike monolayers of alkanes, lamellae of alcohols on graphene form a herringbone pattern due to the presence of hydrogen O∙∙∙H–O bonds between the hydroxyl groups of two interacting surfactant molecules belonging to neighboring lamellae. Calculations of the thermodynamic parameters of binding for alcohol monomers and dimers with tricircumcoronene have shown that the intermolecular interactions of the terminal fragments of surfactants make a destabilizing contribution to the Gibbs energy of the alcohol association during the formation of a monolayer on a graphene surface. However, C–H∙∙∙π interactions between CH2 fragments of the alcohol chain and condensed PAH rings are stabilizing, contributing − 4.77 kJ/mol. Their significant advantage is partially countervailed by the formation of energetically unfavorable CH∙∙∙HC interactions of the “e” type between the hydrocarbon chains of interacting alcohol molecules. It results in existence of a threshold length of the alcohol chain, starting from which these compounds are capable of crystalline monolayer formation on graphene-like surfaces. Spontaneous film formation of n-alcohols on graphene at 298 K is possible for surfactants possessing no less that10 carbon atoms in the chain. An increase in the chain length of alcohols by one methylene fragment is equivalent to an increase in the temperature of the film formation in the range from 6 to 22 ° C for alcohols from pentanol to octadecanol, following experimental data.
Common genetic variants in telomere genetics in colorectal cancer: a Mendelian randomisation study
Authors: Huang Yichu , Min Guangtao , Wang Hongpeng , Liu Tao , Jiang Lei 
Published: January 2025

Abstract

BACKGROUND
Telomere biology is pivotal in the development of malignant tumors, notably colorectal cancer (CRC), which is a gastrointestinal malignancies. Yet, the causal link between CRC and telomere length (TL) remains elusive
AIM
This study employs bidirectional Mendelian randomization analysis to probe the causal relationship between CRC and genetically determined TL.
METHODS
Instrumental variables were selected from single nucleotide polymorphisms (SNPs) linked to leukocyte telomere length (LTL) and colorectal cancer (CRC) in European populations. Two-sample Mendelian randomization (MR) with inverse variance weighting (IVW) was employed as the primary method. Sensitivity analyses, MR-Egger regression, and MR-pleiotropy residual sum and outlier (MR-PRESSO) were used to evaluate pleiotropy. Bioinformatics was utilized to investigate genetic variants, key genes, pathways, and protein interactions.
RESULTS
Genetically determined longer telomeres were linked to increased CRC risk ((common effect model (IVW): odds ratio [OR] = 1.16, 95% confidence interval [CI]: 1.07 to 1.25, random effects model (IVW): [OR] = 1.16, 95% [CI]: 1.06 to 1.27). Sensitivity analyses corroborated findings. GO enrichment indicated enrichment in telomere maintenance, DNA repair, and protein binding. KEGG analysis highlighted pathways such as Pyrimidine metabolism and RNA degradation.
CONCLUSION
PARP1, TREF1, TREF2, TRET, STN1 and HSPA4 are considered key genes related to the length of long telomeres, which are associated with the development of CRC. TL significant in the Etiology of CRC.
PENGARUH INDEKS PEMBANGUNAN MANUSIA TERHADAP KEMISKINAN
Authors: Ayu Setiyani  , Fauzul Rizal Sutikno  , Surjono  
Published: January 2025

Pada tahun 2022, tingkat kemiskinan di Desa Guyangan diperkirakan akan mengalami peningkatan yang signifikan sehingga berpotensi menghambat akses masyarakat terhadap pendidikan, layanan kesehatan, dan kebutuhan pokok. Pada penelitian ini bertujuan mengidentifikasi bagaimana indeks pembangunan manusia memengaruhi kualitas kemikiskinan Desa Guyangan, Kecamatan Trucuk, Kabupaten Bojonegoro. Pengumpulan data mencakup sumber primer melalui survei dan sumber sekunder berupa statistik menyeluruh kesejahteraan sosial dari Dinas Sosial Bojonegoro. Regresi linier berganda digunakan sebagai pendekatannya. Regresi linier berganda untuk menghitung korelasi antara sub-variabel Indeks Pembangunan Manusia (IPM), khususnya pendidikan, kesehatan, dan taraf hidup, dengan variabel kemiskinan. Hasil penelitian ini menujukkan bahwwa konstanta positif sejumlah 46,003 menandakan adanya pengaruh Indeks Pembangunan Manusia (IPM) yaitu kondisi kesehatan, pendidikan, kehidupan dalam kaitannya dengan tingkat kemiskinan. Dengan asumsi semua varibel lainnya tetap, maka koefisien regresi menunjukkan bahwa tingkat standar hidup mempunyai pengaruh besar dan negatif, dengan nilai -0,728. Temuan ini menyarankban bahwa untuk mengurangi tingkat kemiskinan, perhatian pemerintah sebagiknya difokuskan padan peningkatan standar hidup masyarakat.
DETERMINATION OF THE EXPRESSION OF ESTROGEN AND PROGESTERONE RECEPTORS IN THE ENDOMETRIUM IN WOMEN WITH INFERTILITY AND POST-COVID SYNDROME
Authors: Golovchak I. S. , Boychuk O. H. , Matskevych V. M. , Kupchak І. М. 
Published: January 2025

Studying the expression of estrogen and progesterone receptors makes it possible to assess the susceptibility of the uterine mucosa to implantation and to identify the causes of menstrual cycle dysfunction.
The aim. Іncreasing the effectiveness of the study of the expression of estrogen and progesterone receptors of the endometrium depending on the phase of the menstrual cycle in patients with infertility and post-COVID syndrome.
Materials and methods. During 2021-2024, a scientific study was conducted, which included a total of 120 patients. Of them, the experimental group consisted of 80 women, and the control group - 40 women. The main criterion for inclusion in the research group was the presence of a documented post-COVID syndrome. The criterion for inclusion in the control group was the absence of a history of COVID-19. Also, the requirements for inclusion in both cohorts were: diagnosed infertility, the cause of which is a female factor, reproductive age, and informed consent signed by the patient to participate in the study. Exclusion criteria from both samples included the detection of the human immunodeficiency virus, viral hepatitis, and other sexually transmitted infections, as well as - tuberculosis of the genitourinary system, malignant neoplasms, mental disorders that cause the impossibility of establishing communication and functional capacity of the person. To study the expression of estrogen and progesterone receptors, after an office hysteroscopy with a biopsy of the visually most changed areas of the endometrium in the middle phase of the proliferative stage and in the middle phase of the secretory stage (of different menstrual cycles), an immunohistochemical study with antibodies to these receptors was performed.
The results. A significant difference between the groups was found in the middle stage of the secretory phase; namely, the reactivity of ERɑ in the stromal cells in the experimental group was reduced in 26 cases (32.5%), and 4 cases (10.0%) in the control group and the predominant amount was 3 points (p=0.007). Also, a significant difference was established between the cohorts in the middle stage of the secretory phase regarding PR reactivity in the epithelial cells of the glands: in the experimental group, it was reduced in 20 cases (25.0%), and in the control group in 2 cases (5.0%) and was 3 points, which corresponded to a weak reaction according to the expression calculation scale used (р=0.006).
Conclusions. In women with infertility and post-COVID syndrome, a decrease in the expression of estrogen receptor-ɑ in the stromal component and progesterone receptor in the epithelium of the glands was noted in the middle stage of the secretory phase by immunohistochemical examination of endometrial samples.
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
Authors: Wals Zurita Amadeo Jesus , Miras del Rio Hector , Ugarte Ruiz de Aguirre Nerea , Nebrera Navarro Cristina , Rubio Jimenez Maria , Muñoz Carmona David , Miguez Sanchez Carlos 
Published: January 2025

Background
In this study, we evaluate the accuracy, efficiency, and cost-effectiveness of large language models in extracting and structuring information from free-text clinical reports, particularly in identifying and classifying patient comorbidities within oncology electronic health records. We specifically compare the performance of gpt-3.5-turbo-1106 and gpt-4-1106-preview models against that of specialized human evaluators.

Objective
We specifically compare the performance of gpt-3.5-turbo-1106 and gpt-4-1106-preview models against that of specialized human evaluators.

Methods
We implemented a script using the OpenAI application programming interface to extract structured information in JavaScript object notation format from comorbidities reported in 250 personal history reports. These reports were manually reviewed in batches of 50 by 5 specialists in radiation oncology. We compared the results using metrics such as sensitivity, specificity, precision, accuracy, F-value, κ index, and the McNemar test, in addition to examining the common causes of errors in both humans and generative pretrained transformer (GPT) models.

Results
The GPT-3.5 model exhibited slightly lower performance compared to physicians across all metrics, though the differences were not statistically significant (McNemar test, P=.79). GPT-4 demonstrated clear superiority in several key metrics (McNemar test, P<.001). Notably, it achieved a sensitivity of 96.8%, compared to 88.2% for GPT-3.5 and 88.8% for physicians. However, physicians marginally outperformed GPT-4 in precision (97.7% vs 96.8%). GPT-4 showed greater consistency, replicating the exact same results in 76% of the reports across 10 repeated analyses, compared to 59% for GPT-3.5, indicating more stable and reliable performance. Physicians were more likely to miss explicit comorbidities, while the GPT models more frequently inferred nonexplicit comorbidities, sometimes correctly, though this also resulted in more false positives.

Conclusions
This study demonstrates that, with well-designed prompts, the large language models examined can match or even surpass medical specialists in extracting information from complex clinical reports. Their superior efficiency in time and costs, along with easy integration with databases, makes them a valuable tool for large-scale data mining and real-world evidence generation.
A Primary Care Group Resilience Intervention Promotes Child and Caregiver Behavioral Health
Authors: Jeung Joan , Nguyen Andrew , Martinez Jennifer , Zhang Li 
Published: January 2025

Abstract
This pilot study of the redesigned Resilience Clinic, a group-based psychoeducational intervention designed to promote relational health and child and family resilience provides preliminary evidence that participation in this intervention is associated with decreased caregiver stress, anxiety, and child behavioral concerns.
Perbandingan Survei LiDAR Menggunakan Wahana Drone dan Handheld-SLAM Untuk Analisa Tree Trunk dan Tree Crown
Authors: Rahmadani Putri 
Published: January 2025

Rekonstruksi tiga dimensi pohon memiliki peran penting dalam berbagai bidang, seperti studi pengelolaan hutan, ekologi, perhitungan emisi karbon, serta aplikasi perencanaan perkotaan. Namun, metode tradisional yang telah digunakan selama bertahun-tahun umumnya membutuhkan tenaga kerja intensif, memakan waktu lama, dan rentan terhadap kesalahan pengukuran. Untuk mengatasi kendala ini, metode berbasis point cloud mulai digunakan sebagai solusi yang lebih efektif. Point cloud tersebut dapat dihasilkan melalui teknologi LiDAR maupun fotogrametri. Teknologi LiDAR biasanya diintegrasikan dengan drone sebagai wahana untuk pengambilan data. Namun, dalam beberapa tahun terakhir, penggunaan LiDAR berbasis handheld-SLAM (Simultaneous Localization and Mapping) telah menjadi alternatif metode survei modern. Handheld-SLAM LiDAR adalah perangkat LiDAR yang dilengkapi dengan teknologi SLAM, memungkinkan pemindaian tiga dimensi secara real-time. Penelitian ini akan membandingkan dua metode akuisisi data, yaitu menggunakan drone LiDAR dan handheld-SLAM LiDAR, yang akan diaplikasikan untuk analisis karakteristik pohon, seperti bentuk tajuk (tree crown) dan batang pohon (tree trunk). Hipotesis awal penelitian ini adalah bahwa sensor LiDAR pada drone memiliki keterbatasan dalam merekonstruksi bentuk tiga dimensi pohon, khususnya pada bagian batang, karena akuisisi data yang dilakukan dari atas. Dengan adanya teknologi handheld-SLAM LiDAR, diharapkan keterbatasan tersebut dapat diatasi, sehingga menghasilkan pemodelan pohon yang lebih akurat. Lokasi survei penelitian ini adalah sebagian kecil area Taman Hutan Raya di Bandung, dengan tutupan lahan yang terdiri dari pepohonan. Akuisisi data dilakukan menggunakan dua perangkat LiDAR: handheld LiDAR SATLAB Lixel X1 dan DJI Zenmuse L1 yang diterbangkan menggunakan DJI Matrice 300RTK. Data yang diperoleh dari kedua alat ini kemudian diolah menggunakan perangkat lunak pengolah point cloud untuk menghasilkan data bebas noise. Hasil pengolahan ini digunakan untuk menganalisis karakteristik pohon, termasuk tree crown dan tree trunk. Penelitian ini diharapkan dapat menyimpulkan perbandingan efektivitas kedua metode akuisisi LiDAR dalam merekonstruksi bentuk nyata pohon, serta menunjukkan sejauh mana data dari kedua metode tersebut dapat diintegrasikan untuk menghasilkan model pohon yang lebih akurat dan komprehensif.