bluuebunny/crossref_metadata_2025_split huggingface dataset:
Melting and melt segregation processes controlling granitic melt composition
Authors: Yu Yang , Huang Xiao-Long , Weinberg Roberto F. , Sun Min , He Peng-Li , Zhang Le 
Published: January 2023

Abstract
Several important processes in the petrogenesis of granite are still debated due to a poor understanding of complex interactions between minerals during the melting and melt segregation processes. To promote an improved understanding of the mineral-melt relationships, we present a systematic petrographic and geochemical analysis for melanosome and leucosome samples from the Triassic Jindong migmatite, South China. Petrographic observations and zircon U-Pb geochronology indicate that the Jindong migmatite was formed through water-fluxed melting of the Early Paleozoic gneissic granite (437 ± 2 Ma) during the Triassic (238 ± 1 Ma), with the production of melt dominated by the breakdown of K-feldspar, plagioclase, and quartz. The Jindong leucosomes may be divided into lenticular and net-structured types. Muscovite, plagioclase, and K-feldspar in the net-structured leucosome show higher Rb and much lower Ba and Sr contents than those in the lenticular leucosome. This may be attributed to the elevation of Rb and decreasing Ba and Sr abundances in melts during the segregation process due to early fractional crystallization of K-feldspar and plagioclase. These leucosomes show negative correlation between εNd(t) and P2O5, reflecting increasing dissolution of low-εNd(t) apatite during the melting process. The continuous dissolution of apatite caused saturation of monazite and xenotime in melt, resulting in the growth of monazite and xenotime around apatite in the melanosome. This process led to a sharp decrease of Th, Y, and REE with increasing P2O5 in the leucosome samples. This complex interplay of accessory mineral reactions in the source impacts REE geochemistry and Nd isotope ratios of granites. As the granites worldwide exhibit similar compositional and isotopic patterns to the Jindong leucosomes, we suggest that both the melting and melt segregation processes strongly control the granitic melt compositions.
Quantitative Relationships Between Structure and Activity of Gamma-Carboline Derivative Compounds as Anti-Bovine Viral Diarrhea Virus (BVDV) Using Semi-Empirical AM1 Method
Authors: Hafshah Mutista , Firdaus Irvan Maulana , Suratno Suratno 
Published: January 2023

This research aims to study the quantitative structure and activity relationship (QSAR) of gamma-carboline derivative compounds as anti-BVDV agents to get an equation that can predict the value of the anti-BVDV activity of gamma-carboline derived compounds. The research material is experimental EC50 data that convert to anti-BVDB activity. 14 gamma-carboline derivative compounds are divided into 2 groups, namely, 11 fitting compounds and 3 test compounds. QSAR analysis is based on multilinear regression calculations of the fitting compound by plotting the EC50 log as the dependent variable and the descriptor as the independent variable. The used descriptors are atomic net charge (q) and dipole moment (µ), which are involved in calculations using the AM1 semiempirical quantum mechanics method. In addition, the partition coefficient of n-octanol/water (Log P), molecular polarizability (α), molecular weight (BM), Van Der Waals surface area (A vdw), Van Der Waals volume (V vdw), and index of refraction (RD) are obtained from QSAR properties. The resulting QSAR equation is: Log pEC50 = -48.670 – 124.801 (qC11) – 12.661 (α) – 0.918 (µ) – 0.876 (RD) – 0.999 (Log P) + 1.863 (BM) + 0.043 (V vdw) with n = 14; r = 0.937; r2 = 0.878; SD = 0.244; Fcount/Ftable = 1.466; PRESS = 0.749; Sig. = 0.02 This equation can be used as an initial guide for designing the structure of new compounds of the gamma-carboline class by considering some of the most influential descriptors. Consequentially, new compounds can be designed that have a smaller predicted EC50 value than the known compounds derived from gamma-carboline.
Predicting Analysis of User’s Interest from Web Log Data in e-Commerce using Classification Algorithms
Authors: Diwandari Saucha , Hidayat Ahmad Tri 
Published: January 2023

The accelerated development of e-commerce has been a concern for business people. Business people should be able to gain customer interest in a variety of ways so that their companies can compete with others. Analyzing click-flow data will help organizations or firms assess customer loyalty, provide advertising privileges, and develop marketing strategies through user interests. By understanding consumer preferences, clickstream data analysis may be used to determine who is participating, assist companies in evaluating customer contentment, boost productivity, and design marketing strategies. This research was performed by defining experimental user interests using Dynamic Mining and Page Interest Estimation methods. The findings of this analysis, using three algorithms at the pattern discovery page, demonstrated that the Decision Tree method excelled in both methods. It indicated that the operational performance of the Decision Tree performed well in the assessment of user interests with two different approaches. The findings of this experiment can be used as a proposal for researching the field of web usage mining, collaborating with other approaches to achieve higher accuracy values.
O comportamento da vogal média anterior átona /E/ no português falado em Passo Fundo (RS)
Authors: Vieira dos Santos Heric Gabriel , Gutierres Athany 
Published: January 2023

O objetivo deste trabalho é investigar o comportamento da vogal média anterior átona /e/ em sílabas abertas (ado.te) ou fechadas (es.ses) em posição postônica final no Português Brasileiro (PB) falado em Passo Fundo, Rio Grande do Sul (RS). No Brasil, a elevação (/e/ à [i]) é praticamente categórica nesses casos (adot/e/ à adot[i]; ess[e]s à ess/i/s), porém, em algumas localidades da região sul do país, principalmente naquelas do interior, é possível notar que há variação (GUTIERRES; BATTISTI, 2020; VIEIRA, 2014; VIEIRA, 2010; GUZZO, 2012; 2010). Para verificar o comportamento da vogal /e/ nesse contexto, foi realizada uma análise estatística de regressão logística (modelo de efeitos mistos) com dados de fala de 20 informantes nascidos e residentes em Passo Fundo. Foram controladas cinco variáveis sociais (faixa etária, gênero, escolaridade, ocupação e região de residência) e cinco linguísticas (contexto fonológico precedente e seguinte, qualidade da vogal da sílaba tônica precedente, número de sílabas e tipo de palavra). A aplicação da regra variável (elevação) ocorreu em 17% (110/630) da amostra, e a não aplicação (preservação da vogal átona), em 83% (520/630). Na fala passo-fundense, a elevação é favorecida socialmente pelas variáveis gênero, escolaridade e profissão; e gramaticalmente pelas variáveis contexto fonológico precedente, número de sílabas e tipo de palavra. O resultado da análise evidencia o efeito de fatores externos sobre a gramática e está consoante à literatura no que diz respeito às variedades de PB faladas no interior: há variação entre elevação e preservação de /e/, sendo essa última a preferência na comunidade.
Synthesis, Molecular Docking, and Anticancer Activity of N-Heteroaryl
Substituted Flavon Derivatives
Authors: Fegade Bharti Sachin , Jadhav Shailaja 
Published: January 2023

Background:
Flavones are potential anticancer agents that act by different mechanisms and
have multiple targets to exert anticancer effects. Nitrogen-containing heterocyclic rings have remarkable
chemical characteristics as well as a wide range of biological activities. Substitution of the N-heterocyclic
ring on the flavon structure may potentiate its anticancer effect.

Objective:
A series of flavon derivatives with an N-heteroaryl ring at the 4' position of the B ring of flavon
were designed, prepared, and evaluated for anticancer activity.

Methods:
Different flavon derivatives were created by cyclizing chalcones, and chalcones were synthesized
by Claisen-Schmidt condensation of substituted aldehydes and 2-hydroxyacetophenone. Structures
of all compounds were confirmed by 1HNMR, 13CNMR, FTIR, and MS spectra. Molecular docking was
used to study the binding interactions of the synthesized compounds with the multiple targets ER-α,
EGFR, and VEGFR-2. Anticancer activity was evaluated by Brine shrimp assay, MTT assay, and SRB
assay on breast cancer (MCF-7, MDA-MB-231, and MDA-MB-468) and cervical cancer (HeLa). An
apoptosis study was carried out on MCF-7 cell lines for the active compounds.

Results:
Among all compounds, 6c and 5f showed potent growth inhibition of ER-positive breast cancer
cell lines. Compounds 5b, 5c, 5g, and 6f displayed good anticancer activity against cervical cancer. In
triple-negative breast cancer cell lines, compounds 5c, 6b, and 6c showed remarkable anticancer activity.
The potent flavones identified against breast cancer cell lines were 5f and 6c. Anticancer study results
were analogous to the results obtained by the molecular docking study.

Conclusion:
This study offers a viable reference point for improving the design of flavon-incorporated Nheterocyclic
ring derivatives as anticancer compounds.
Experimental Study and Modeling of Solid-liquid Equilibrium for Binary and Ternary Pharmaceutical and Food Systems
Authors: Bitchikh Karima , Nabil Smakghi , Abdeslam-Hassen Meniai 
Published: January 2023

Background:
The experimental measurement of the solubility of a solute in a given solvent is a difficult task; hence, there is a need for reliable thermodynamic models for its prediction. However, these models require either molecular or group interaction parameters, which are not always available.

Objective:
The objective of the present study is to measure experimentally the solubility of different solutes in solvents selected from pharmaceutical or food fields on the basis that not all the required model interaction parameters are available to use the obtained experimental data for their determination.

Methods:
The experimental study of solid-liquid equilibrium for chosen binary and ternary systems at different temperatures was carried out using differential scanning calorimetry to determine the essential thermophysical properties like melting temperature and enthalpy. The modeling of these phase equilibrium data was performed using thermodynamic models like Random Two Liquids (NRTL) and Universal Functional Activity Coefficient (UNIFAC).
The required NRTL interaction parameters were determined by minimizing a well-defined objective function using the simplex method.

Results:
The solubilities of the solutes in the different considered solvents at different temperatures obtained experimentally provided the required NRTL molecular interaction parameters. Solute solubilities were obtained using NRTL, UNIFAC, and ideal models. The comparisons showed an excellent agreement between the experimental values and the NRTL results, contrary to UNIFAC and ideal case models.

Conclusion:
This study shows the importance of thermodynamic modeling to predict solubility data that may be difficult, time-consuming, and costly to obtain experimentally.
Characterization of Dentures for a Natural Esthetic Result: A Case Report
Authors: Pachiou Aspasia , Roussou Ilia , Kourtis Stefanos 
Published: January 2023

Background:
Dental implants offer many viable clinical solutions, but there are patients when they cannot be chosen as the optimal plan. Conventional removable prostheses still come up as a functional option, and several techniques have been developed so that their appearance can be esthetically enhanced and, in certain circumstances, even customized.

Case report:
This paper presents a clinical case where new conventional dentures were manufactured for both jaws. The patient was complaining about the “artificial” appearance of the pre-existing restorations and was also diagnosed with depression, which was an extra challenge to be dealt with. Attention was also given to individualizing the esthetic performance utilizing materials and techniques for the characterization and customization of the dentures for a natural-like result, in accordance with all the clinical factors that influence the restoration in edentulous patients.

Conclusion:
As shown in the presented case, complete dentures remain a viable treatment plan. Especially via the process of characterization and customization, higher patient satisfaction and easier acceptance can be achieved.
Relationship Between Adoption of the Caregiver Role and Quality of Life in Caregivers of Cancer Patients Under Active Treatment
Authors: Posada Carolina , Correa Laura , Castañeda Manuela , Arias-Rojas Mauricio , Tellez Bertha 
Published: January 2023

Background:
Becoming a family caregiver for a patient with cancer implies the adoption of a new role that can affect multiple aspects of the person's life. Little is known about the relationships between the adoption of the role and the quality of life of these family caregivers.

Aim:
To describe the level of adoption of the role of Colombian family caregivers of cancer patients in active treatment and their quality of life, and to examine the relationship of the adoption of the role and other variables related to care in the quality of life.

Methods:
A descriptive-correlational study was conducted with 100 family caregivers of cancer patients. The scales of sociodemographic characteristics, Adopting the Caregiver Role and Quality of Life Family Version were used.

Results:
Findings indicate that educational level, religious commitment, gender of the caregiver, patient's age and one of the dimensions of the Adopting the Caregiver Role scale are predictors of the quality of life of caregivers. In summary, the adoption of the role of the caregiver is a predictor of the quality of life of caregivers.

Conclusion:
Becoming a caregiver requires support from nurses. Strategies to favor the recognition of this new role and make sense of this experience are important in caring for the caregiver. Likewise, it is important to pay attention to the demographic and profile characteristics that can also affect the quality of life.
Quality of Information in Gallstone Disease Videos on TikTok: Cross-sectional Study
Authors: Sun Fei , Zheng Shusen , Wu Jian 
Published: January 2023

Background
TikTok was an important channel for consumers to access and adopt health information. But the quality of health content in TikTok remains underinvestigated.

Objective
Our study aimed to identify upload sources, contents, and feature information of gallstone disease videos on TikTok and further evaluated the factors related to video quality.

Methods
We investigated the first 100 gallstone-related videos on TikTok and analyzed these videos’ upload sources, content, and characteristics. The quality of videos was evaluated using quantitative scoring tools such as DISCERN instrument, the Journal of American Medical Association (JAMA) benchmark criteria, and Global Quality Scores (GQS). Moreover, the correlation between video quality and video characteristics, including duration, likes, comments, and shares, was further investigated.

Results
According to video sources, 81% of the videos were posted by doctors. Furthermore, disease knowledge was the most dominant video content, accounting for 56% of all the videos. The mean DISCERN, JAMA, and GQS scores of all 100 videos are 39.61 (SD 11.36), 2.00 (SD 0.40), and 2.76 (SD 0.95), respectively. According to DISCERN and GQS, gallstone-related videos’ quality score on TikTok is not high, mainly at fair (43/100, 43%,) and moderate (46/100, 46%). The total DISCERN scores of doctors were significantly higher than that of individuals and news agencies, surgery techniques were significantly higher than lifestyle and news, and disease knowledge was significantly higher than news, respectively. DISCERN scores and video duration were positively correlated. Negative correlations were found between DISCERN scores and likes and shares of videos. In GQS analysis, no significant differences were found between groups based on different sources or different contents. JAMA was excluded in the video quality and correlation analysis due to a lack of discrimination and inability to evaluate the video quality accurately.

Conclusions
Although the videos of gallstones on TikTok are mainly provided by doctors and contain disease knowledge, they are of low quality. We found a positive correlation between video duration and video quality. High-quality videos received low attention, and popular videos were of low quality. Medical information on TikTok is currently not rigorous enough to guide patients to make accurate judgments. TikTok was not an appropriate source of knowledge to educate patients due to the low quality and reliability of the information.
On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology
Authors: Panfilov A. V. , Yusupov A. R. , Korotkiy A. A. , Ivanov B. F. 
Published: January 2023

Introduction. The safety problem and the situation with accidents during the operation of elevator installations are elucidated. The role of elevator rope defects as a factor of dangerous incidents is indicated from the point of view of statistics. The malfunctions of the elevator mechanical equipment related to the defective indices of the ropes are listed. There is a difference in the documentary fixation of defective indices and rejection rates of ropes of lifting structures. Materials and Methods. The well-known approaches to the control of ropes of lifting structures were described. It was emphasized that visual inspection control (VIC) was required to identify such rejection rates of steel elevator ropes as geometry change, corrosion and wear, wire breaks, temperature exposure, etc. The rejection rate was presented in the form of a mathematical system. The technical condition of elevator ropes during the operation was integrally assessed by the totality of identified defects at a fixed length. The decision to create a software and hardware complex (PAC) for the practical implementation of visual and measuring control was validated. Results. The developed PAC VIC laboratory sample consisted of a hardware part, a video stream processing module, communicator for the server connectivity, specially designed software, and a client mobile application. PAC VIC implemented the following functions: – automatic detection and classification of the major significant rope defects based on a deep convolutional artificial neural network; – demonstration of a three-dimensional image of a rope and an image scanning algorithm with distortion compensation, according to which the metric characteristics of defects were fixed; – integral assessment of the technical condition of the rope according to the totality of detected defects; – color interpretation of the actual technical condition of the rope with subsequent transmission to the user's mobile device. Preliminary tests have shown the suitability of the PAC VIC for identifying defects. The reliability of the results for the identification and qualification of defects exceeded 80%. Work on deep learning of the system continues. Discussion and Conclusions. PAC VIC of elevator ropes provides eliminating the risks of visual control caused by the psychophysical state of a person. It works remotely and contactless. The solution proposed by the authors automatically evaluates the rejection rates according to five criteria: external wire breaks, surface wear, rope diameter change, undulation, traces of temperature exposure. An important result of the VIC of steel ropes using computer vision and artificial intelligence is an increase in reliability and safety during the operation of elevator equipment.
Hardware Trojan Detection and Mitigation in NoC using Key authentication and Obfuscation Techniques
Authors: Thejaswini P  , G Vivekananda , Anu H  , Priya R  , Krishna Prasad B S  , Nischay M  
Published: January 2023

Today's Multiprocessor System-on-Chip (MPSoC) contains many cores and integrated circuits. Due to the current requirements of communication, we make use of Network-on-Chip (NoC) to obtain high throughput and low latency. NoC is a communication architecture used in the processor cores to transfer data from source to destination through several nodes. Since NoC deals with on-chip interconnection for data transmission, it will be a good prey for data leakage and other security attacks. One such way of attacking is done by a third-party vendor introducing Hardware Trojans (HTs) into routers of NoC architecture. This can cause packets to traverse in wrong paths, leak/extract information and cause Denial-of-Service (DoS) degrading the system performance. In this paper, a novel HT detection and mitigation approach using obfuscation and key-based authentication technique is proposed. The proposed technique prevents any illegal transitions between routers thereby protecting data from malicious activities, such as packet misrouting and information leakage. The proposed technique is evaluated on a 4x4 NoC architecture under synthetic traffic pattern and benchmarks, the hardware model is synthesized in Cadence Tool with 90nm technology. The introduced Hardware Trojan affects 8% of packets passing through infected router. Experimental results demonstrate that the proposed technique prevents those 10-15% of packets infected from the HT effect. Our proposed work has negligible power and area overhead of 8.6% and 2% respectively.
Analisis vegetasi pohon di Ekoregion Kalimantan Kawasan Ecology Park Kebun Raya Bogor
Authors: Ahsan Andi Widya Aulia , Sukmawaty Eka , Pratama Bayu Arief 
Published: January 2023

Analisis vegetasi merupakan salah satu cara yang digunakan besarnya sebaran dari berbagai macam spesies yang ada di dalam suatu area kegiatan ini dilakukan dengan pengamatan langsung dan dilakukan dengan membuat petak ukur serta mengamati morfologi dan identifikasi vegetasi yang ada. Jutuan dari penelitian ini yaitu untuk mengkaji seberapa besar sebaran jenis, kenekaragaman jenis, kemerataan jenis, kekayaan jenis, pola sebaran dan factor lingkungan yang mempengaruhi komunitas organisme. Penelitian ini dilakukan pada bulan Januari hingga maret pada Ekoregion Kalimantan Kawasan Ecology Park Kebun Raya Bogor. Hasil penelitian menunjukkan terdapat 11 jenis spesies dengan, Indeks morisita menunjukkan Ip > 0. Hal ini mengindikasi bahwa sifat yang ada pada lahan tersebut bersifat mengelompok. Dengan batas kepercayaan 95% pada -0.5 dan 0.5. Nilai H’ sedang, indeks kemerataan jenis yang tinggi serta kekayaan jenis yang rendah Selain itu, sebaran pada petak pengamatan umumnya memiliki nilai INP 300 dengan Suku terpenting adalah Araceae (NP 66,7619).