bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimalisasi Produksi Selulosa Dari Bakteri Dengan Menggunakan Air Kelapa Pra-Fermentasi Dan Monosodium Glutamat Sebagai Sumber Nitrogen Alternatif
Authors: Wungkana Jerry , Barlina Rindengan , Liwu Suzanne Laura , Manambangtua Alfred Pahala , Utomo Nugroho , Yulia Helmitar , Adiningrum Putri Wulan , Romadhon Muhammad Roiyan , Trivana Linda , Pradana Adhitya Yudha , Pasang Patrik Markopa , Karouw Steive 
Published: January 2023

Penelitian ini mengelaborasi tentang produksi selolosa dari bakteri (BC) yang menggunakan air kelapa segar (AKS) dan air kelapa pre-fermentasi (AKP). Selain itu, 3 dosis sumber nitrogen berbeda monosodium glutamate (MSG) (5, 10, dan 15gr/L) dan 5gr/L urea sebagai kontrol, digunakan untuk mengamati tingkat produksi BC dan pH dari media sebagai fungsi dari hari. Secara umum, media AKP menunjukkan produksi yang lebih tinggi dibandingkan dengan media AKS, yang kemungkinan disebabkan oleh munculnya ruang kosong diantara lembaran BC dan larutan media. Tingkat pH sebagai fungsi waktu dalam media AKS menampilkan trend yang menurun dari pH awal, berbanding terbalik dengan media AKP. Sebagai tambahan, 5gr/L MSG pada media AKP memberikan konversi selulosa yang lebih tinggi dibandingkan dengan media AKP-urea, dan juga dosis tersebut mempunyai pH awal dan akhir yang lebih tinggi. Secara teknis, 5 gr/L MSG dapat menggantikan penggunaan urea.
Competing Endogenous RNA Network Analysis of the Molecular Mechanisms of Ischemic Stroke
Authors: Chen Jian-Min , Li Xiao-Lu , Yang Ye , Xu Sen-Ming , Chen Qing-Fa , Xu Jian-Wen 
Published: January 2023

Abstract

BackgroundIschemic stroke (IS) is a serious neurological disease that largely results in long-term disability and death. Extensive evidence has indicated that the activation of inflammation and ferroptosis significantly contribute to the development of IS pathology. However, the underlying molecular mechanism remains unclear. In this study, we aimed to identify potential biomarkers associated with IS through the construction of a competing endogenous RNA (ceRNA) network and to investigate the possible inflammatory and ferroptosis-related molecular mechanisms.ResultsWe identified 178 differentially expressed target mRNAs (DETmRNAs) associated with IS. As revealed through enrichment analysis, the DEmRNAs were mainly enriched in the inflammatory signaling pathways. The CIBERSORT algorithm showed immune infiltration landscapes in which the naïve B cells, naïve T cells, and monocytes had statistically different numbers in the cerebral infarction group compared with the control group. A ceRNA network was constructed in this study involving 44 long non-coding RNAs (lncRNAs), 15 microRNAs (miRNAs), and 160 messenger RNA (mRNAs). We used the receiver operating characteristic (ROC) analysis to identify three miRNAs (miR-103a-3p, miR-140-3p, and miR-17-5p), one mRNA (TLR4), and one lncRNA (NEAT1) as the potential key biomarkers of the ceRNA network. The key mRNA and lncRNA were shown to be highly related to the ferroptosis mechanism of IS. The expression of these key biomarkers was also further validated by a method of quantitative real-time polymerase chain reaction in SH-SY5Y cells, and the validated results were consistent with the findings predicted by bioinformatics.ConclusionOur results suggest that the ceRNA network may exert an important role in the inflammatory and ferroptosis molecular mechanisms of IS, providing new insight into therapeutic IS targets.
Correlation between Margin Width and Time to Local and Systemic Recurrence of Ductal Carcinoma in Situ
Authors: Shafi Alam Ara , AlMushawah Fatema , Abdalkarim Yousef 
Published: January 2023

Abstract
Background:Recurrence after DCIS treatment is common and half are invasive cancers. Positive excision margin is significantly associated with recurrence, however; debate exists about close margin. We examine the pattern of treatment and recurrences at a single institute.
Objective: To investigate, in women with DCIS treated at KFMC and long follow-up, the relationship between margin width and time to local or systemic recurrence of disease, controlling the other characteristics.
Method:We retrospectively reviewed a prospectively maintained database of DCIS patients treated at single institution from 2014-2018. A multivariable Cox model was used to evaluate the association of margin width with recurrence while controlling for other variables.
Results:We identified 56 cases with a median follow-up of 51 months (range 3 - 120), of which four (7%) had a recurrence within 2 years of initial treatment. Three were invasive ductal cancer while one was high grade DCIS. After controlling the other variables, no association of margin width with recurrence was identified (p-value 0.81) in the current study, however; all recurrences were on the left side (p-value <0.001).
Conclusion:The current study did not identify any correlation between margin width and LR, however; relation between site and LR was statistically significant as more LR was identified in left breast. Low rate of LR in current study could be due to more aged population of patients in present study.
Subducted slabs induce high heat flux at the core-mantle boundary
Authors: Zhao Chengcheng , Manthilake Geeth , Bouhifd Ali , Mathieu Antoine 
Published: January 2023

AbstractDespite growing evidence suggesting chemically distinct regions and partial melting at the core-mantle boundary (CMB) throughout Earth’s history, current heat-flow models assume a homogeneous thermal boundary layer. To understand probable thermal response of bridgmanite to subducted slab, we measured thermal diffusivity of mid-ocean ridge basalt (MORB)-bearing olivine polycrystalline as an analogy. Our results show a sharp increase of thermal conductivity with an addition of 0.1 vol. % MORB, followed by a systematic decrease with increasing MORB. When the infection point of 1.2–5 vol.% is exceeded, thermal conductivity jump again with 10 vol.% MORB. If it were the case at the CMB, MORB introduced by subducted slab and scattered by mantle flow may have led to lateral variation of heat flux. It results in plume clusters with varying scales, which either grows into superplume with mobile plume root or vanishes when MORB is drained to the infection point.
Altered intestinal microbiota in mice consuming high-fat diets influence cognitive function
Authors: Ma Weiwei , Hua Yinan , Zhou Cui , Fan Rong , Benazzouz Sara , Shen Jiingyi , Xiao Rong 
Published: January 2023

Abstract
This study was aiming to verify critical role of gut microbiota linking diet-induced obesity and cognitive dysfunction. After antibiotic treatment, male C57BL/6 mice were subjected to fecal microbiota transplantation (FMT) using fecal microbiota isolated from donor mice fed on various high-fat diets and control basic diet. Novel object recognition test, 16S rRNA gene sequencing of feces and haematoxylineosin staining of hippocampal CA1 area were performed for all mice. The results showed that donor obese mice induced by diets high in long-chain saturated fatty acid (LCSFA), n-6 polyunsaturated fatty acid (n-6 PUFA) and trans fatty acid (TFA) had significant cognitive impairment (all Ps < 0.05) compared with that in control and n-3 polyunsaturated fatty acid (n-3 PUFA) groups. In recipient mice, the similar effect of above high-fat diets was revealed after FMT, while in absence of obesity. The donor mice in LCSFA, medium-chain saturated fatty acid (MCSFA), n-6 PUFA, and TFA groups showed more structural breakage and less nerve cells in hippocampal CA1 area than that in other groups, which was similar to corresponding recipients. According to these results it was concluded that high LCSFA, n-6 PUFA, and TFA diets may impair the cognitive function by damaging the structures of CA1 region in hippocampal through influencing intestinal microbiota in mice.
Conditions of Inner Planet Formation Inferred From New Estimates of the Sun’s Chemical Composition
Authors: Putirka Keith , Bergemann Maria , Serenelli Aldo 
Published: January 2023

AbstractModels of inner planet formation assume that their building blocks precipitate from the Solar Nebula, where thermal gradients and planet mass control their bulk compositions. New estimates of the Solar photosphere provide a test of these ideas. We find that none of the inner planets match the Sun’s composition: except for Mercury, the inner planets have less Fe and more Si, Al and Mg. Major elements are also enriched in proportion to their 50% condensation temperatures, which describe 70% of Earth’s variations. But these enrichments are uncorrelated with planet mass, and only O records a heliocentric thermal gradient, while Fe decreases with heliocentric distance. These results imply that above 1,000 K, thermal gradients across the inner Solar System were negligible, and that Fe contents are controlled by the Solar magnetic field. Moreover, knowledge of ambient temperatures and stellar magnetic fields are necessary to improve predictions of exoplanet compositions.
Evaluating the habitat suitability modeling of Aceria alhagi and Alhagi maurorum in their native range using machine learning techniques
Authors: Dastres Emran , Bijani Farzad , Naderi Ruhollah , Zamani Afshin , Edalat Mohsen 
Published: January 2023

Abstract
Spatial locational modeling techniques are increasingly used in species distribution modeling. However, the implemented techniques differ in their modeling performance. In this study, we tested the predictive accuracy of three algorithms, namely "random forest (RF)," "support vector machine (SVM)," and "boosted regression trees (BRT)" to prepare habitat suitability mapping of an invasive species, Alhagi maurorum, and its potential biological control agent, Aceria alhagi. Location of this study was in Fars Province, southwest of Iran. The spatial distributions of the species were forecasted using GPS devices and GIS software. The probability values of occurrence were then checked using three algorithms. The predictive accuracy of the machine learning (ML) techniques was assessed by computing the “area under the curve (AUC)” of the “receiver-operating characteristic” plot. When the Aceria alhagi was modeled, the AUC values of RF, BRT and SVM were 0.89, 0.81, and 0.79, respectively. However, in habitat suitability models (HSMs) of Alhagi maurorum the AUC values of RF, BRT and SVM were 0.89, 0.80, and 0.73, respectively. The RF model provided significantly more accurate predictions than other algorithms. The importance of factors on the growth and development of Alhagi maurorum and Aceria alhagi was also determined using the partial least squares (PLS) algorithm, and the most crucial factors were the road and slope. Habitat suitability modeling based on algorithms may significantly increase the accuracy of species distribution forecasts, and thus it shows considerable promise for different conservation biological and biogeographical applications.
Chatter Stability Improvement of a Slender Milling Tool via a Dynamics Variation Mechanism
Authors: Hayati Sajad , Golmohammadi Masoud , Valitabar Alireza , Rasaee Sajad 
Published: January 2023

Abstract
In this study, a milling tool with variable mass and stiffness is developed for chatter reduction. The proposed milling tool is hollow with a solid core threaded inside it. As the core is screwed in or out of the tool body, the equal mass and stiffness of the tool are changed. Therefore, the tool's frequency response function (FRF) is changed to affect the stability lobe diagram (SLD) position. Moving the SLDs can stabilize an unstable cutting process. With respect to the FRFs obtained from modal test, the idea is proven using an experimental and analytical approach. The optimum core position for every spindle speed is also presented. The developed tool stability is then investigated in a realistic cutting condition. The cutting process sound analysis and surface finish visual inspection results reveal the performance of the proposed system in chatter reduction of a slender milling tool.
Alopecia Areata in Underrepresented Groups: Preliminary Analysis of the All of Us Research Program
Authors: Moseley Isabelle H. , George Elisabeth A. , Tran Megan M. , Lee Hemin , Qureshi Abrar A. , Cho Eunyoung 
Published: January 2023

Abstract
Background
Alopecia areata (AA) is an autoimmune condition characterized by patchy, nonscarring hair loss. Few studies of AA have adequately included participants from underrepresented groups when evaluating the burden of AA in the United States.
Methods and Results
We conducted a cross-sectional study of personal/demographic factors and AA using the ongoing All of Us (AoU) Research Program. AoU enrolls adults over 18 years either as direct volunteers or through participating Health Care Provider Organizations by prioritizing recruiting underrepresented groups. We linked data from surveys and electronic health records (EHRs) to estimate the prevalence of AA by race/ethnicity, physical disability, sexual orientation/gender identity (LGBTQIA+), income, and education. The latest AoU release (version 5) includes 329,038 participants. Average age was 51.8 years (standard deviation, SD 16.7), and 60.2% of participants were female. Of these, 251,597 (76.5%) had EHR data and 752 were diagnosed with AA (prevalence, 0.30%; 95% CI, 0.28–0.32). We used multivariate logistic regression adjusted for age and other factors to estimate the odds ratio (OR) and 95% confidence intervals (CIs) for prevalence of AA. Compared to Whites, Blacks and Hispanics had higher odds of AA (OR, 1.72; 95% CI, 1.39–2.11 and OR, 2.13; 95% CI, 1.74–2.59, respectively). Lower odds of AA were observed in participants with less than a high school degree (OR, 0.80; 95% CI, 0.59–1.08), household income ≤$35,000 (OR, 0.67; 95% CI, 0.54–0.83), and no health insurance (OR 0.35; 95% CI, 0.20–0.56).
Conclusions
In this diverse population of US adults, participants with skin of color had higher prevalence of AA. Lower prevalence of AA among individuals with lower education and income levels and those lacking health insurance may reflect limited access to dermatologic care and potentially higher levels of undiagnosed AA in these groups.
Not every countable complete distributive lattice is sober
Authors: Miao Hualin , xi xiaoyong , Li Qingguo , Zhao Dongsheng 
Published: January 2023

Abstract
The study of the sobriety of Scott spaces has got an relative long history in domain theory. Lawson and Hoffmann independently proved that the Scott space of every continuous directed complete poset (usually called domain) is sober. Johnstone constructed the first directed complete poset whose Scott space is non-sober. Soon after, Isbell gave a complete lattice with a non-sober Scott space. Based on Isbell's example, Xu, Xi and Zhao showed that there is even a complete Heyting algebra whose Scott space is non-sober. Achim Jung then asked whether every countable complete lattice has a sober Scott space.The main aim of this paper is to answer Jung's problem by constructing a countable complete lattice whose Scott space is non-sober. This lattice is then modified to obtain a countable distributive complete lattice with a non-sober Scott space.
In addition, we prove that the topology of the product space ∑P x ∑Q coincides with the Scott topology of the product poset P x Q if the set Id(P) and Id(Q) of all non-trivial ideals of posets P and Q are both countable. Based on this, it is deduced that a directed complete poset P has a sober Scott space, if Id(P) is countable and ∑P is coherent and well-filtered. In particular, every complete lattice L with Id(L) countable has a sober Scott space.
2000 MSC: 54B20, 06B35, 06F30
Maternal and neonatal umbilical cord serum levels of 25-hydroxy vitamin D among Sudanese women with normal pregnancy: a cross-sectional study
Authors: Ahmed Mohamed A , Elmugabil Abdelmageed , AlEed Ashwaq , Al-Nafeesah Abdullah , Adam Ishag 
Published: January 2023

Abstract
There are few published studies on the association between maternal and umbilical cord serum vitamin D concentrations in Sub-Saharan Africans. Therefore, the aim of this study was to assess the association between mothers and umbilical cord 25-hydroxyvitamin D (25-[OH)]D) levels. A cross-sectional study was conducted at the Saad Abuelela Maternity Hospital in Khartoum, Sudan. 90 pairs of mothers and neonates (umbilical cords) were enrolled. The median (IQR) mother’s age and gestational age were 28.5 (26.0‒30.0) years and 38.0 (37.5‒38.2) weeks, respectively. The median (IQR) umbilical cord level of 25-(OH)D was significantly higher than the median maternal level of 25-(OH)D (30.3 [18.2‒38.4] vs. 20.2 [17.5], ng/mL, P = 0.011). Moreover, compared to the maternal samples, a significantly low number of umbilical cord samples had a vitamin D deficiency (≤ 20; 25/90 [27.8%] vs. 42/90 [46.7%], P = 0.013). The umbilical cord 25-(OH)D levels were positively correlated with and significantly higher than the maternal 25-(OH)D levels (r = 0.401).
A Secure Fingerprint Hiding Technique Based on DNASequence
Authors: Al-Ahmadia Wala’a , Aljahdali Asia , Munshi Asmaa 
Published: January 2023

Abstract
DNA steganography is a technique that utilizes the DNA sequence as the basis for the secure transmission of critical data. This technique consists mainly of encrypting and hiding messages within the high capacity of DNA sequences in order to prevent adversaries from reading and decoding secret messages. However, the biometric system is a technological recognition system that processes information about an individual to distinguish them. Biometrics are used in many applications, including fingerprinting, iris scanning, and face recognition. This research will focus on the development of an effective and secure technique that combines steganography and cryptography. This method aims to protect the image of fingerprints in the communication channel while keeping the information confidential. The hiding process of the proposed system converts fingerprint images into a binary series, which is then added to the DNA sequence after applying the appropriate encryption method. The proposed technique utilizes the Feistel network in the encryption process and uses an insertion technique in the hiding process. It has a low cracking probability, high BPN numbers, and good execution times. During the hiding and decoding processes, the proposed system utilizes four different keys, which are chosen randomly, resulting in a high key space and ahigh key sensitivity. The proposed technique increases the noise by adding some random ambiguity bits at random positions in the fingerprint image. The experimental results show that the proposed system is resistant to several attacks, such as known-plaintext attacks and chosen-plaintext attacks. The proposed technique is limited to hiding only a small image inside the DNA and does not handle video, audio, or a large image size.
Induction of anti-tumor immunity by human telomerase reverse transcriptase (hTERT) and viral-derived peptides in breast cancer mouse models
Authors: Kardar Gholam Ali , Songwe Fanuel , Colagar Abasalt Hosseinzadeh , Ghorbani Mehdi , Mohammadi Amir 
Published: January 2023

Abstract
Human telomerase reverse transcriptase (hTERT) is the most common tumor-associated antigen (TAA) and its activity is upregulated in more than 90% of cancers. Therefore, its targeting can be used in cancer immunotherapy. In continuing with our previous study, we evaluated hTERT derived peptides conjugated to KLH in mice breast cancer models. To induce tumors in Balb/C mice, about 5 × 105 mice breast cancer 4T1 cell were washed and suspended in 100 µl sterile PBS and subcutaneously (s.c) injected to 4th mammary fat pat of 6–8 weeks old mice. Thereafter, tumor size measurements were taken two times a week. About 100 ug KLH conjugated peptides accompanied by Incomplete Freund′s adjuvant (IFA) were injected s.c on days 10th and 20th after cancer cells inoculation. In spite of their significantly lower immunogenicity and affinities on mice HLA compared to human (approximately 5–30 times), these peptides inhibited tumor growth as well as being able to increase the overall survival of vaccinated Balb/C mice compare untreated group.
From differential and perfect differential to Roman domination and perfect Roman domination in probabilistic neural networks
Authors: BERBERLER Zeynep Nihan 
Published: January 2023

Abstract
Let G = (V, E) be a graph of order n. Let B(S) be the set of vertices in V\S that have a neighbor in the vertex set S. The differential of a vertex set S is defined as ∂(S) = |B(S)|−|S| and the maximum value of ∂(S) for any subset S of V is the differential of G. For S ⊆ V(G), the set Np(S) is defined as the perfect neighborhood of S such that all vertices in V(G)\S have exactly one neighbor in S. The perfect differential of S is defined to be ∂p(S) = |Np(S)|−|S| and the perfect differential of a graph is defined as ∂p(G) = {∂p(S)⊆V(G)}. A Roman dominating function of G is a function ƒ:V → {0,1,2} such that every vertex v for which ƒ(v) = 0 has a neighbor u with ƒ(u) = 2. The weight of a Roman dominating function ƒ is w(ƒ) = ∑v∈Vƒ(v). The Roman domination number of a graph G, denoted by γR(G), is the minimum weight of all possible Roman dominating functions. A perfect Roman dominating function is defined as an Roman dominating function ƒ satisfying the condition that every vertex u for which ƒ(u) = 0 is adjacent to exactly one vertex v for which ƒ(v) = 2. The perfect Roman domination number, denoted by γPR(G), is the minimum weight among all perfect Roman dominating functions on G, that is γPR(G) = min{w(ƒ):ƒ is a perfect Roman dominating function on G}. This paper is devoted to the computation of differential, perfect differential and Roman domination, perfect Roman domination of probabilistic neural networks by the use of the proven Gallai-type results γR(G) = n−∂(G), γPR(G) + ∂P(G) = n. Besides, existing Roman and perfect Roman graph classes of probabilistic neural networks are characterized.
2020 Mathematics Subject Classification: 05C69, 05C05, 05C82
Pressure dependence of elastic constants of wurtzite Indium Nitride semiconductor
Authors: Mukherjee Prabir K. , Tripathi Gouri S. 
Published: January 2023

Abstract
In this work, we study the pressure dependence of elastic constants ofwurtzite Indium Nitride semiconductor based on the Landau free energyexpansion. Elastic constants are obtained as functions of pressure up tosecond order. However, departure from nonlinearity is found to be small for acarefully chosen set of model parameters. Agreement with previously obtainedresults based on first-principles calculations is found to be satisfactory.