bluuebunny/crossref_metadata_2025_split huggingface dataset:
LINC complex protein nesprin-2 has pro-apoptotic activity via Bcl-2 family proteins
Authors: Stein Reuven , Lindenboim Liora , Zohar Hila , Gundersen Gregg , Worman Howard 
Published: October 2023

Abstract
The apoptotic intrinsic pathway is initiated by perforation of the mitochondrial outer membrane by the effector pro-apoptotic proteins of the Bcl-2 family, Bax and Bak. Bax and Bak need to be activated, a process facilitated by the action of BH3-only pro-apoptotic members of the Bcl-2 family. The latter either directly activates the effector proteins or antagonizes the action of pro-survival Bcl-2 family members such as Bcl-xL. The nuclear envelope is a known target of the apoptotic machinery; however, it may also act as mediator of apoptosis. We showed previously that the nuclear envelope protein nesprin-2, a component of the linker of nucleoskeleton and cytoskeleton (LINC) complex, can bind to Bax in close proximity to the mitochondria and that the binding increases in apoptotic cells. We now show that depleting nesprin-2 inhibits the apoptotic mitochondrial pathway as measured by Bax and Bak activation and cytochrome c release. This survival effect was Bcl-xL-dependent. Nesprin-2 depletion also inhibited spontaneous exposure of the N-terminus of Bak in cells lacking Bcl-xL and increased the presence of Bcl-xL and Bax in the mitochondria. These results indicate that nesprin-2 promotes Bak activation and regulates mitochondrial translocation/retrotranslocation of Bcl-2 family proteins. Our findings demonstrate a new apoptotic pathway whereby the nuclear envelope, via nesprin-2, regulates apoptosis.
Factors Associated with Depression Among Undergraduates: A Review of Existing Literature
Authors: Perera Madhura , Tham Jacquline , Azam S.M. Ferdous 
Published: October 2023

Abstract
Depression among undergraduate students is a considerable mental health issue. Understanding the factors associated with depression is important to effectively prevent and to design intervention strategies to mitigate the repercussions of depression. This systematic literature review mainly aims to identify and review the existing academic body of knowledge in relation to ScienceDirect and Scopus databases on the factors associated with depression among undergraduate students. A comprehensive search of ScienceDirect and Scopus databases derived a total of 44 relevant articles published between 2003 to 2023. The review focuses on academic stress, social isolation, financial stress, relationship issues, pre-existing mental health conditions, substance abuse, lack of sleep and fatigue, coping mechanisms and family history and genetics to be factors associated with depression among undergraduates. The implications of these findings highlights the importance of universities and counseling services to focus and implementing stress management programs, providing social support mechanisms, establishing financial support systems during the higher studies, promoting healthy relationships, addressing substance abuse and sleep-related issues, and also providing resources and required support for individuals with pre-existing mental health conditions and family history and genetics on depression to better cope up with depression. Future researchers are encouraged to conduct more longitudinal studies, examine underlying mechanisms, explore mediating and moderating factors while considering cultural and contextual factors, and to conduct intervention studies that examines the impact of technology, to enhance the understanding of the factors associated with depression among undergraduate students.
Association between Sleep and Multimorbidity in Community-Dwelling Older Adults in Hunan Province: A Cross-sectional Study
Authors: Su Manman , Zhou Yang , Chen Wenhui , Liu Yanping 
Published: October 2023

Abstract
Background
The purpose of this study was to estimate the prevalence of sleep quality and chronic disease conditions, and to analyze the association between sleep and multimorbidity among community-dwelling older adults in China.
Methods
This is a cross-sectional study and a stratified multistage random sampling method was used to collect data on demographic characteristics, Pittsburgh Sleep Quality Index (PSQI), and chronic condition assessment. Chi-squared tests, t-tests, variance analysis, Wilcoxon rank sum test, binary logistic regression analysis and multiple stepwise regression analysis were used to test the association between sleep and multimorbidity.
Results
Of the 1173 community elders enrolled, the mean total PSQI score was 7.25 ± 4.23. Of these, 588 (50.1%) had a total PSQI score > 7 (with sleep disorders) and 920 (78.4%) had chronic diseases. And 43.8% (403/920) had one chronic disease and 56.2% (517/920) had multimorbidity. And the pattern of multimorbidity among community-dwelling older adults was dominated by a combination of binary and ternary chronic diseases. Overall, the prevalence of sleep disorders with multimorbidity among older adults in the community was 57.6% (298/517). And the prevalence of sleep disorders in older adults with multimorbidity was 1.30 times higher than without multimorbidity. The prevalence of sleep disorders increased with an increasing number of chronic conditions, and females had a higher prevalence of sleep disorders than males. T-test and variance analysis showed statistically significant differences in all seven components of PSQI between with and without multimorbidity, and different numbers of chronic conditions (P < 0.05). Gender, number of morbidities, BMI, marital status, and exercise frequency were included in the regression equation (R = 0.274, R2 = 0.075, F = 8.280, P<0.001).
Conclusion
The overall state of sleep and multimorbidity was not optimistic. In addition, older adults with multimorbidity in the community are more prone to sleep disorders. Also, the number of chronic conditions had additive effects on sleep disorders, and women reported poorer sleep quality than men. One of the most challenging aspects of falling asleep was for participants with multimorbidity. We also found that there may be an interaction between sleep and multimorbidity.
WITHDRAWN: Integrated bioinformatics identify the critical genes of mitophagy in myocardial ischemia- reperfusion injury
Authors: Chen Zhian , Liu Tingying , Yuan Hao , Sun Han , Liu Sitong , Zhang Shuai , Jin Mengli , Jiang Shuang , Tang Yong , Liu Zhi 
Published: October 2023

Abstract
Background: Myocardial ischemia is a prevalent cardiovascular disease with a high incidence and mortality rate. Restoring blood flow to the ischemic myocardium as soon as possible is crucial for improving patients' prognosis, but this process can lead to myocardial ischemia-reperfusion injury (MIRI). Mitophagy is a specific cellular autophagic process that has been consistently linked to various cardiovascular disorders.Nevertheless, the connection between ischemia-reperfusion and mitophagy remains unclear. This study's objective is to discern and substantiate central mitophagy-related genes associated with MIRI through bioinformatics analysis.
Methods: The microarray expression profile dataset (GSE108940) was obtained from the Gene Expression Omnibus (GEO). The differentially expressed genes (DEGs) were identified using GEO2R. These DEGs were then cross-referenced with genes in the mitophagy database. Differential nucleotide sequence analysis used enrichment analysis.The DEGs were obtained through protein-protein interaction (PPI)network analysis. And the hub genes were clustered by cytoHubba and MCODE of Cytoscape software. GSEA analysis was conducted on central genes. Finally, we conducted Western blotting, immunofluorescence, and quantitative polymerase chain reaction (qPCR) analyses to corroborate the expression patterns of pivotal genes in MIRI-afflicted rats.
Results: 2719 DEGs and 61 mitophagy-DEGs were obtained,followed by enrichment analyses and construction of PPI network. HSP90AA1, RPS27A, EEF2, EIF4A1, EIF2S1,HIF-1α and BNIP3 were the 7 hub genes identified by cytoHubba and MCODE of Cytoscape software. The functional clustering score of HIF-1α and BNIP3 was 9.647 by analysis of Cytoscape (MCODE). In our constructed MIRI rat model, western blot and immunofluorescence confirmed a significant elevation in the expression of HIF-1α and BNIP3, along with a significant increase in the ratio of LC3II to LC3I. Finally,qPCR confirmed that expression of HIF-1α, BNIP3 and LC3 mRNA in MIRI group was elevated significantly.
Conclusions: Seven central genes among the mitophagy-related DEGs have been pinpointed, potentially holding pivotal significance in MIRI, which indicated that HIF-1α/BNIP3 pathway of mitophag was correlated with pathogenesis of MIRI. Mitophagy may play an important role in MIRI.This research will offer valuable insights into the underlying mechanisms and potential therapeutic targets, which can be explored in future studies.
Characteristics and medical practice of hospitalized patients with anti-N-methyl-D-aspartate receptor encephalitis associated with ovarian teratoma in Japan
Authors: AOYAMA YOKO , Kinjo Yasuyuki , Hoshino Kaori , Harada Hiroshi , Ueda Taeko , Kurita Tomoko , Yoshino Kiyoshi , Matsuda Shinya 
Published: October 2023

Abstract
This study investigated the characteristics and medical practice of hospitalized patients with ovarian teratomas complicated by anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis in Japan. This cohort study was conducted using “Diagnosis Procedure Combination” (DPC) codes, a patient classification method for acute phase inpatients, over a 6-year period (2014–2020). Hospitalizations for ovarian teratomas complicated with anti-NMDAR encephalitis were compared with those for ovarian teratomas uncomplicated with anti-NMDAR encephalitis. Additionally, the tendencies of patients with ovarian teratomas complicated with anti-NMDAR encephalitis and the clinical management were considered. Ovarian teratoma patients with encephalitis had a younger median age than those without encephalitis. The group with ovarian teratoma complicated with anti-NMDAR encephalitis was more likely to be transported by ambulance and had more transfers from other hospitals than the uncomplicated group. Among the target hospitalized patients, the 15 − 19 age group had the highest incidence rates. The median age was lower for steroid pulse therapy, intravenous immunoglobulin therapy, and plasma exchange therapy, in that order. Additionally, younger patients underwent more invasive treatments. Anti-NMDAR encephalitis associated with ovarian tumors often occurs in young people in their late teens and 20s, and younger patients are more likely to be severely ill.
An improved sine cosine algorithm with greedy selection for global optimization
Authors: Ma Linyun , Chen Jin , Tong Ying , Zhang Xing , Han Baozhu 
Published: October 2023

Abstract

The sine cosine algorithm (SCA) is a simple and efficient optimization algorithm that utilizes sine and cosine trigonometric functions to update solutions. The SCA may suffer from premature convergence to local optima due to its insufficient utilization of population information and lack of mechanism to escape from local optima. Therefore, this study proposes an improved version of the SCA called the novel sine cosine algorithm (NSCA). NSCA incorporates a new solution update equation, a greedy selection mechanism, and a disturbance mechanism to improve population diversity and prevent search stagnation. Experimental results on the Congress on Evolutionary Computation (CEC) 2017 benchmark function set and six point cloud registration problems demonstrate the effectiveness and robustness of NSCA compared to other algorithms.
Characterization of a wheat stable QTL for spike length and its genetic effects on yield-related traits
Authors: Ding Hongke , Wang Chenyang , Cai Yibiao , Yu Kai , Zhao Haibo , Wang Faxiang , Shi Xinyao , Cheng Jiajia , Sun Han , Wu Yongzhen , Qin Ran , Liu Cheng , Sun Xiaohui , Cui Fa , Zhao Chunhua 
Published: October 2023

Abstract
Spike length (SL) is one of the most important agronomic traits affecting yieldpotential and stability in wheat. In this study, a major stable quantitative trait locus (QTL) for SL, i.e., qSl-2B, was detected in multiple environments in a recombinant inbred line (RIL) mapping population derived from a cross between Kenong 9204 (KN9204) and Jing 411 (denoted as KJ-RIL). The qSl-2B QTL was mapped to the 60.06–73.06 Mb region on chromosome 2B and could be identified in multiple mapping populations. An InDel molecular marker in the target region was developed based on a sequence analysis of the two parents. To further clarify the breeding use potential of qSl-2B, we analyzed its genetic effects and breeding selection effect using both the KJ-RIL population and a natural mapping population, which consisted of 316 breeding varieties/advanced lines. The results showed that the qSl-2B alleles from KN9204 showed inconsistent genetic effects on SL in the two mapping populations. However, the qSl-2B alleles from KN9204 significantly increased grain yield per plant(GYPP) in both mapping populations. In China, a moderate selection utilization rate for qSl-2B was found in the Huanghuai winter wheat area and the selective utilization rate for qSl-2Bcontinues to increase. The above findings provided a foundation for the genetic improvement of wheat SL in the future via molecular breeding strategies.
Beyond Traditional Methods: Innovative Integration of LISS IV and Sentinel 2A Imagery for Unparalleled Insight into Himalayan Ibex Habitat Suitability
Authors: Dutta Ritam , Sharma Lalit Kumar , Joshi Bheem Dutt , Kumar Vineet , Sharief Amira , Bhattcharjee Saurav , Thakur Mukesh , Babu Rajappa 
Published: October 2023

Abstract
Despite the progress made in remote sensing technology, the application of satellite imagery is predominantly limited to the field of conservation study. The utilisation of multispectral data from diverse sensors holds significant promise in the field of landscape mapping. However, it is imperative to consider the varied spectral and spatial resolution capabilities in order to achieve precise classification of wildlife habitats. The objective of our study was to provide a methodology for accurately classifying habitat types for the Himalayan Ibex (Capra sibirica) by utilising various satellite data. In order to tackle the issues related to both spectral and spatial aspects, we employed LISS IV and Sentinel 2A data. We then proceeded by integrating the LISS IV data with the Sentinel 2A data, taking into account their respective geometric information. By utilising a variety of supervised classification techniques, it was shown that the Random Forest (RF) approach had superior performance compared to the other algorithms. The classified image obtained by the integration of LISS IV and Sentinel 2A sensors demonstrated the highest level of accuracy, with an overall accuracy of 86.17% and a Kappa coefficient of 0.84. In order to delineate the suitable habitat for the Himalayan Ibex, we employed ensemble modelling techniques that incorporated Land Cover Land Use (LCLU) data from three distinct image types (namely LISS IV, Sentinel 2A, and Integrated image). Additionally, we incorporated other predictors including topographical features, vegetation types, soil and water radiometric indices. The integrated image demonstrated superior accuracy in predicting the suitable habitat for the Himalayan Ibex, compared to the other two LULC classes that were obtained from the other two mentioned images. The identification of suitable habitats was found to be contingent upon the consideration of two key factors: the Soil Adjusted Vegetation Index and elevation. The consequences of these findings are significant for the advancement of conservation measures, as the utilisation of precise classification methods facilitates the recognition of crucial landscape components. This pilot study offers a novel and important approach to conservation planning by accurately categorising LULC and identifying critical habitats for the Ibex. The utilisation of this technology significantly improves our capacity to conserve and safeguard the natural environment inhabited by many wildlife species within the mountainous ecosystem like the Himalayas.
WITHDRAWN: Mapping the Mottness under Magnetic Field
Authors: Wang Lei , Wei LingNan , Gu Zhao-Long , Fischer Ammon , He YangChen , Xu Qiaoling , Ghiotto Augusto , Weber Clara , Watanabe Kenji , Taniguchi Takashi , Claassen Martin , Rubio Angel , Millis Andrew , Pasupathy Abhay , Xian Lede , Rhodes Daniel , Kennes Dante , Li Jian-Xin 
Published: October 2023

Abstract
Charge and spin are two intrinsic degrees of freedom of an electron. In a Mott insulator (MI), they are separated in that the charge degree is frozen due to strong Coulomb interaction U while the spin degree can still fluctuate and is governed by the energy scale of spin exchange J ≈ 4t2/U (t, hopping integral). Usually, a magnetic field can only manipulate the spin degree as the attainable Zeeman energy Ez can only compete with J at the scale of tens of milli-electron volts, while it does not affect the charge degree with U being at least two orders of magnitude larger [1–3]. Therefore, the complete evolution of a Mott insulator under magnetic field with both charge and spin impacted has yet to be explored. With recent progress in two-dimensional (2D) moiré systems, Mott insulators have been realized with significantly reduced U [4–9], providing an opportunity to investigate this problem. Here, we map out the full picture of Mottness under magnetic field by transport measurements on twisted bilayer (TB) WSe2 with twist angle θ ranging from 2.4° to 3.2°. We achieve the tuning of the charge dynamics of the Mott insulator using magnetic fields and observe unexpected Mott insulator-metal-Mott insulator (IMI) transitions. We theoretically establish that these IMI transitions are driven by an exotic form of spectral weight transfer (SWT) between the spin-split Hubbard bands due to carrier occupancy variations of different spins. We further identify the reentrant insulating phase at higher magnetic fields as a Mott-Zeeman insulator (MZI) with its gap determined collectively by U and Ez. Remarkably, with SWT, the observed critical magnetic field for this reentrance is as low as 5 T, which corresponds to a Zeeman energy approximately an order of magnitude smaller than U. The unveiled IMI transitions experimentally and theoretically evidence SWT as a crucial driving mechanism for the evolution of a Mott insulator in response to control parameters, which offers an unprecedented perspective into the nature of Mott physics.
Operational Machine Learning Approach for Detection of High Impedance Faults in Distribution Power Networks
Authors: Khond Sudarshan , Kale Vijay , Ballal Makarand Sudhakar 
Published: October 2023

Abstract

Due to insufficient quantitative and indistinguishable qualitative disturbance caused by the High Impedance Faults (HIFs), the detection of the same has been challenging and a topic of active research for decades. The article presents the novel Operational Machine Learning (MLops) concept for HIF detection. The proposed MLops algorithm is combined with the conventional current thresholding-based principles to reduce the ML models’ search space, resulting in improved detection accuracy. Moreover, due to the inherent adaptability of the MLops technique, the proposed method is found to be better capable of generalization as the fault current signature varies. In addition, a novel cumulative sequential ML ensemble method of prediction is used to eliminate the problem of false positive HIF detection without compromising the sensitivity of the HIF detection. The article also describes the method to accommodate for the maximum variance caused by the HIF by using multiple models of HIFs to generate the synthetic data. The synthetic data is obtained using minimal data from the experimental hardware set-up for validation purposes hence improving the utility of the proposed ML-based method in practical scenarios. The ML models such as Support Vector Machines (SVM), Decision Tree (DT), and K-nearest neighbors (KNN) are trained on the synthetic data. The proposed MLops algorithm is tested on the experimental set-up operating at 400V (L-L). The results for the detection accuracy in noisy environments and adaptability due to the parameter update confirm the desired objectives of achieving high sensitivity and robustness for HIF detection.
Comprehensive analysis of the CRISPR-Cas systems in Streptococcus thermophilus strains isolated from traditional yogurts
Authors: ÖZCAN Ali , YIBAR Artun , KİRAZ Deniz , ILIKKAN Özge Kahraman 
Published: October 2023

Abstract
Phage resistance is crucial for lactic acid bacteria in the dairy industry. However, identifying all phages affecting these bacteria is challenging. CRISPR-Cas systems offer a resistance mechanism developed by bacteria and archaea against phages and plasmids. In this study, 11 S. thermophilus strains from traditional yogurts underwent analysis using next-generation sequencing (NGS) and bioinformatics tools. Initial characterization involved molecular ribotyping. Bioinformatics analysis of the NGS raw data revealed that all 11 strains possessed at least one CRISPR type. A total of 21 CRISPR loci were identified, belonging to CRISPR types II-A, II-C, and III-A, including 13 Type II-A, 1 Type III-C, and 7 Type III-A CRISPR types. By analyzing spacer sequences in S. thermophilus bacterial genomes and matching them with phage/plasmid genomes, notable strains emerged. SY9 showed prominence with 132 phage matches and 30 plasmid matches, followed by SY12 with 35 phage matches and 25 plasmid matches, and SY18 with 49 phage matches and 13 plasmid matches. These findings indicate the potential of S. thermophilus strains in phage/plasmid resistance for selecting starter cultures, ultimately improving the quality and quantity of dairy products. Nevertheless, further research is required to validate these results and explore the practical applications of this approach.
Non-IG::MYC in diffuse large B-cell lymphoma confers variable genomic configurations and MYC transactivation potential
Authors: Du Ming-Qing , Zhang Chunye , Stelloo Ellen , Barrans Sharon , Cucco Francesco , Jiang Dan , Tzioni Maria-Myrsini , Chen Zi , Li Yan , Swennenhuis Joost F , Makker Jasmine , Raso-Barnett Livia , Liu Hongxiang , daly Hesham El , Soilleux Elizabeth , Shah Nimish , Nagumantry Sateesh Kumar , Kyaw Maw , Prahladan Mahesh Panatt , Tooze Reuben , Westhead David , Feitsma Harma , Davies Andrew , Burton Catherine , Johnson Peter 
Published: October 2023

Abstract
MYC translocation occurs in 8–14% of diffuse large B-cell lymphoma (DLBCL), and may concur with BCL2 and/or BCL6 translocation, known as double-hit (DH) or triple-hit (TH). DLBCL-MYC/BCL2-DH/TH are largely germinal centre B-cell like subtype, but show variable clinical outcome, with IG::MYC fusion significantly associated with inferior survival. While DLBCL-MYC/BCL6-DH are variable in their cell-of-origin subtypes and clinical outcome. Intriguingly, only 40–50% of DLBCL with MYC translocation show high MYC protein expression (> 70%). We studied 186 DLBCLs with MYC translocation including 32 MYC/BCL2/BCL6-TH, 75 MYC/BCL2-DH and 26 MYC/BCL6-DH. FISH revealed a MYC/BCL6 fusion in 59% of DLBCL-MYC/BCL2/BCL6-TH and 27% of DLBCL-MYC/BCL6-DH. Targeted NGS showed a similar mutation profile and LymphGen genetic subtype between DLBCL-MYC/BCL2/BCL6-TH and DLBCL-MYC/BCL2-DH, but variable LymphGen subtypes among DLBCL-MYC/BCL6-DH. MYC protein expression is uniformly high in DLBCL with IG::MYC, but variable in those with non-IG::MYC including MYC/BCL6-fusion. Translocation breakpoint analyses of 8 cases by TLC-based NGS showed no obvious genomic configuration that enables MYC transactivation in 3 of the 4 cases with non-IG::MYC, while a typical promoter substitution or IGH super enhancer juxtaposition in the remaining cases. The findings potentially explain variable MYC expression in DLBCL with MYC translocation, and also bear practical implications in its routine assessment.