bluuebunny/crossref_metadata_2025_split huggingface dataset:
JAC1 Targets YY1-Mediated JWA/p38 MAPK Signaling to Inhibit Proliferation and Induce Apoptosis in TNBC
Authors: Zhai Zurong , Ren Yanlin , Shu Chuanjun , Chen Dongyin , Liu Xia , Liang Yan , Li Aiping , Zhou Jianwei 
Published: January 2022

Abstract
Background:Triple negative breast cancer (TNBC)is a type of breast cancer with poor prognosis, and still has no adequate therapeutic target and ideal medicine.The public database and the relative studies have shown that low expression of JWA is closely related to the poor overall survival in many cancers including breast cancer. However, the precise biological functions and behind mechanisms of JWA in TNBC are still unclear.Methods:Both TCGA and GEO databases were used to confirm the relationship between expression levels of JWA and overall survival inTNBC cases.JAC1, an agonisticsmall compound of JWA gene, was used in TNBC modelsin vitro and in vivo. The routine cellular and molecular assays include CCK-8, colony formation, EdUincorporation, the flow cytometry, Western blot, immunohistochemistry,immune-fluorescence microscopy and reporter gene assays were conducted in this study.Results:Low expression of JWA was associated with poor prognosis in TNBC patients. JAC1 treatment inhibited TNBCcells proliferation and promoted apoptosis in vitro and in vivo. JAC1 specifically combined and targeted YY1toeliminate its transcriptional inhibition on JWA gene.At the same time, JAC1promoted ubiquitination and degradation of YY1. The rescued JWA induced G1 phase arrest and apoptosis in TNBC cellsthrough the p38 MAPK signaling pathway. In addition, JAC1 disrupted the interaction between YY1 and HSF1, and suppressed the oncogenic role of HSF1 in TNBC throughp-Aktsignaling pathway.Conclusions:We discovered for the first time that JAC1 is a YY1 targeting compoundand maybe a potential therapeutic agent for TNBC.
SARS-CoV-2 specific B cell memory drives improved class switching and tissue homing responses to single dose Ad26.COV2.S vaccination in previously infected recipients
Authors: Krause Rob , Moyo-Gwete Thandeka , Richardson Simone , Makhado Zanele , Manamela Nelia , Hermanus Tandile , Mkhize Nono , Keeton Roanne , Benede Ntombi , Mennen Mathilda , Skelem Sango , Riou Catherine , Ntusi Ntobeko , Goga Ameena , Gray Glenda , Garrett Nigel , Bekker Linda-Gail , Groll Andreas , Moore Penny , Burgers Wendy , Leslie Alasdair 
Published: January 2022

Abstract
Neutralizing antibodies strongly correlate with protection for COVID-19 vaccines, but the corresponding memory B cells that form to protect against future infection are relatively understudied. Here we examine the effect of prior SARS-CoV-2 infection on the magnitude and phenotype of the B cell response to single dose Johnson and Johnson (Ad26.COV2.S) vaccination in South African health care workers. SARS-CoV-2 specific memory responses expand in response to Ad26.COV2.S and are maintained for the study duration (84 days) in all individuals. However, prior infection is associated with a greater frequency of these cells, a more prominent germinal center (GC) response, and increased class switched memory (CSM). These B cell features correlated with both neutralization and antibody-dependent cytotoxicity (ADCC) activity, and with the frequency of SARS-CoV-2 specific circulating T follicular helper cells (cTfh). In addition, the SARS-CoV-2 specific CD8+ T cell response correlated with increased memory B cell lung-homing, which was sustained in the infected group. Finally, although vaccination achieved equivalent B cell activation regardless of infection history, it was negatively impacted by age. These data show that phenotyping the B cell response to vaccination can provide mechanistic insight into the impact of prior infection on GC homing, CSM, cTfh, and neutralization activity. These data can provide early signals and mechanistic understanding to inform studies of vaccine boosting, durability, and co-morbidities.
Parameter Adaptive Sliding Mode Trajectory Tracking Strategy with Initial Value Identification for the Swing in a Hydraulic Construction Robot
Authors: hou Jingwei , Zhao Dingxuan , Zhang Zhuxin 
Published: January 2022

Abstract
A novel trajectory tracking strategy is developed for a double actuated swing in a hydraulic construction robot. Specifically, a nonlinear hydraulic dynamics model of a double actuated swing is established, and a robust adaptive control strategy is designed to enhance the trajectory tracking performance. When an object is grabbed and unloaded, the inertia of a swing considerably changes, and the performance of the estimation algorithm is generally inadequate. Thus, it is necessary to establish an algorithm to identify the initial value of the moment of inertia of the object. To this end, this paper proposes a novel initial value identification algorithm based on a two-DOF robot gravity force identification method combined with computer vision information. The performance of the identification algorithm is enhanced. Simulations and experiments are performed to verify the effect of the novel control scheme.
Relationship Between Clustered Ring Nonmass Enhancement of Breast MRI and Prognostic Molecular Biomarkers in Breast Cancer
Authors: Wang Mei-Lin , Chang Yu-Pin , Chen Chuan-Han , Liu Ming-Cheng , Wu Chen-Hao , Gueng Mein-Kai , Wu Yi-Ying , Chai Jyh-Wen 
Published: January 2022

Abstract
BackgroundClustered ring enhancement (CRE) of breast MRI is a lexicon of nonmass enhancement (NME) representing tendency of breast cancer and molecular biomarkers are predictors of response to therapy. The purpose of this study was to retrospectively determine the relationship between CRE NME and prognostic molecular biomarkers in breast cancer.MethodsRetrospective analysis of 58 breast lesions in 56 female patients between July 2013 and December 2018 was performed in our institution. Cases with MRI reporting NME in the text were collected via searching the report database. The patterns of enhancement including CRE on breast MRI were reviewed by a radiologist blinded to pathology report. The pathological results and expression of molecular biomarkers were collected. Univariate analysis was applied to evaluate the association between MRI NME imaging features, pathological and IHC stain findings.Results58 Breast lesions were pathologically proven breast carcinoma, and 31 lesions with CRE and 27 lesions without CRE on breast MRI. The expression of estrogen receptor (ER) (P=0.017) and progesterone receptor (PR) (P=0.017) was significantly lower in lesions with CRE compared with those without CRE. The expression of Ki-67 (≥ 25%) was significantly higher in lesions with CRE(P=0.046). The lesions with CRE have a lower expression ratio of ER (50.71 ± 45.39% vs. 74.26 ± 33.59%, p= 0.028).ConclusionOur results indicated that lesions with CRE may possess different features from those without CRE in molecular expression. They tend to bear a more aggressive biological behavior.
Effect of Milking Environment Enrichment Through Music on Production Performance and Behaviour in Cattle
Authors: KOCHEWAD SANJIVKUMAR ANGADRAO , Gaur G.K , Maurya V.P. , Bharti P.K. , Sahoo N.R. , Pandey H.O. , Singh Mukesh , Verma M.R. 
Published: January 2022

Abstract
Enrichment of milking environment through music has been proposed to help animals to cope with divergent stressors. This study aimed at evaluating the effect of Indian instrumental music-based environmental enrichment on milk production performance and behaviour in cattle. A total of 21 lactating dairy cattle (Vrindavani crossbred cows) having similar parity and stage of lactation were selected in three groups – T1, T2, and T3 each consisting of seven animals. The T1 and T2 groups were exposed to instrumental flute and sitar respectively 10 minutes prior to the start of milking and continued till completion of milking; while the T3 group served as control. Musical enrichment of the environment was done using recorded-tape of flute and / sitar was played in yamen raga at 40-60 decibels intensity. The results revealed a non-significant difference in milk yield, rectal temperature, respiration rate, T3 and T4 hormones. However, there exhibited a significant (p<0.05) difference in milking time, milking speed, cortisol hormones and behavioural parameters such as milk let down in the animals exposed to music compared to the control group. Thus, the results have significant implications relating to the behavioural fitness and welfare of dairy animals and reducing residual milk.
Combining Rapid Antigen Testing and Syndromic Surveillance Improves Community-Based COVID-19 Detection in Low-to-Middle-Income Countries
Authors: Chadwick Fergus , Clark Jessica , Chowdhury Shayan , Chowdhury Tasnuva , Pascall David , Haddou Yacob , Andrecka Joanna , Kundegorski Mikolaj , Wilkie Craig , Brum Eric , Shirin Tahmina , Alamgir A S M , Rahman Mahbubur , Alam Ahmed , Khan Farzana , Swallow Ben , Mair Frances , Illian Janine , Hill Davina , Husmeier Dirk , Matthiopoulos Jason , Hampson Katie , Sania Ayesha 
Published: January 2022

Abstract
Diagnostics for COVID-19 detection are limited in many settings. Syndromic surveillance is often the only means to identify cases, but lacks specificity. Rapid antigen testing is inexpensive and easy-to-deploy but concerns remain about sensitivity. We examine how combining these approaches can improve surveillance for guiding interventions in low-income communities in Dhaka, Bangladesh. Rapid-antigen-tests and PCR validation was performed on 1172 symptomatically-identified individuals at home. Statistical models were fit to predict PCR status using rapid-antigen-test results, syndromic data, and their combination. Model predictive and classification performance was examined under contrasting epidemiological scenarios to evaluate their potential for improving diagnoses. Models combining rapid-antigen-test and syndromic data yielded equal-to-better performance to rapid-antigen-test-only models across all scenarios. These results show that drawing on complementary strengths across two rapid diagnostics, improves COVID-19 detection, and reduces false-positive and -negative diagnoses to match local requirements; improvements achievable without additional expense, or changes for patients or practitioners.
Risk Factors For Recurrence of Peptic Ulcer Disease: A Retrospective Study In Tertiary Care Referral Center
Authors: Alsinnari Yaser , Alqarni Mohammed S. , Attar Meshari , Bukhari Ziad M. , Baabbad Faisal , Almutairi Mohammed , Hasosah Mohammed 
Published: January 2022

Abstract
Backgrounds: Peptic ulcer disease (PUD) is a common gastrointestinal tract disease characterized by mucosal damage secondary to pepsin and gastric acid secretion. The aim of this study was to evaluate the five-year recurrence rate for treated patients with PUD and risk factors contributing to PUD relapses.Methods: From 2016 through 2021, all patients with endoscopy-proved PUD were identified by reviewing medical records (Best-Care system). Possible risk factors including smoking, non-steroidal anti-inflammatory drugs (NSAIDs), aspirin, alcohol, caffeine, and steroid were analyzed by univariate analysis. Treatment outcomes, 5-year recurrence rate, and mortality rate were assessed.Results: Among 223 patients, there were 187 (83.8%), who diagnosed endoscopy-proved PUD and 36 (16.2%), who diagnosed clinical PUD. Among them, 126 (56.5%) patients were males and the mean age was 62±2 years. The five years recurrence rate of PUD was 30.9%. There was no significant difference in the recurrence rate between the duodenal ulcer (33.3%) and the gastric ulcer (28.8%). By univariate analysis, the use of steroid and NSAID and H. pylori infection were potential risk factors for PUD (P < 0.005). The common complication of PUD was gastrointestinal bleeding (34.1%). Patients who had a complicated PUD were associated with a higher rate of recurrence (45.9%) compared to the uncomplicated PUD (19.2%) (P > 0.05). Conclusion: Our findings demonstrated that the five years recurrence rate of PUD was 30.9%. The use of steroid and NSAID and H. pylori infection were risk factors for recurrence of PUD. PUD places a significant burden on health care systems. Therefore, a multicenter prospective study is needed for effective management to prevent recurrence and complications of PUD.
Magnetization of carbonaceous asteroids by nebular fields and the origin of CM chondrites
Authors: Courville Samuel , O'Rourke Joseph , Castillo-Rogez Julie , Fu Roger , Oran Rona , Weiss Benjamin , Elkins-Tanton Linda 
Published: January 2022

Abstract
The solar nebula carried a strong magnetic field that had a stable intensity and direction for periods of a thousand years or more1. The solar nebular field may have produced post-accretional magnetization in at least two groups of meteorites, CM and CV chondrites [1–3], which originated from planetesimals that may have underwent aqueous alteration before gas in the solar nebula dissipated [1,3]. Magnetic minerals produced during aqueous alteration, such as magnetite and pyrrhotite [4], could acquire a chemical remanent magnetization from that nebular field [3]. However, many questions about the size, composition, formation time, and, ultimately, identity of the parent bodies that produced magnetized CM and CV chondrites await answers—including whether a parent body might exhibit a detectable magnetic field today. Here, we use thermal evolution models to show that planetesimals that formed between a few Myr after CAIs and ~1 Myr before the nebular gas dissipated could acquire from the nebular field, and retain until today, a chemical remanent magnetization throughout nearly their entire volume. Hence, in-situ magnetometer measurements of C-type asteroids could help link magnetized asteroids to magnetized meteorites. Specifically, a future mission could search for a magnetic field as part of testing the hypothesis that 2 Pallas is the parent body of the CM chondrites [5]. Overall, large carbonaceous asteroids might record ancient magnetic fields in magnetic remanence that produces strong modern magnetic fields, even without a metallic core that once hosted a dynamo.
Trait differences between and within ranges of an invasive legume species
Authors: Hoffbeck Carmen , terHorst Casey P 
Published: January 2022

Abstract
Novel ecological interactions can drive natural selection in non-native species and trait evolution may increase the likelihood of invasion. We can gain insight into the potential role of evolution in invasion success by comparing traits of successful individuals in the invasive range with the traits of individuals from the native range in order to determine which traits are most likely to allow species to overcome barriers to invasion. Here we used Medicago polymorpha , a non-native legume species from the Mediterranean that has invaded six continents around the world, to quantify differences in life history traits among genotypes collected from the native and invasive range and grown in a common greenhouse environment. We found significant differences in fruit and seed production and biomass allocation between invasive and native range genotypes. Invasive genotypes had greater fecundity, but invested more energy into belowground growth relative to native genotypes. Beyond the variation between ranges, we found additional variation among genotypes within each range in flowering phenology, total biomass, biomass allocation, and fecundity. We found non-linear relationships between some traits and fitness that were much stronger for plants from the invasive range. These trait differences between ranges suggest that stabilizing selection on biomass, resource allocation, and flowering phenology imposed during or after introduction of this species may increase invasion success.
A database of calculated solution parameters for the recently released AlphaFold predicted protein structures
Authors: Brookes Emre , Rocco Mattia 
Published: January 2022

Abstract
Recent spectacular advances by AI programs in 3D structure predictions from protein sequences have revolutionized the field in terms of accuracy and speed. The resulting "folding frenzy" has already produced predicted protein structure databases for the entire human and other organisms' proteomes. However, rapidly ascertaining a predicted structure's reliability based on measured properties in solution should be considered. Shape-sensitive hydrodynamic parameters such as the diffusion and sedimentation coefficients (D0t(20,w),s0(20,w)) and the intrinsic viscosity ([η]) can provide a rapid assessment of the overall structure likeliness, and SAXS would yield the structure-related pair-wise distance distribution function p(r) vs. r. Using the extensively validated UltraScan SOlution MOdeler (US-SOMO) suite we have calculated from the AlphaFold structures the corresponding D0t(20,w), s0(20,w), [η], p(r) vs. r, and other parameters. Circular dichroism spectra were also computed. The resulting US-SOMO-AF database should aid in rapidly evaluating the consistency in solution of AlphaFold predicted protein structures.
Nonlinear co-generation of graphene plasmons for optoelectronic logic gates
Authors: Li Yiwei , An Ning , Lv Zheyi , Wang Yucheng , Chang Bing , Tan Teng , Guo Xuhan , Xu Xizhen , He Jun , Xia Handing , Wu Zhaohui , Su Yikai , Liu Yuan , Rao Yun-Jiang , Soavi Giancarlo , YAO BAICHENG 
Published: January 2022

Abstract
Surface plasmons in graphene provide a compelling strategy for advanced photonic technologies thanks to their tight confinement, fast response and tunability. Recent advances in the field of all-optical generation of graphene’s plasmons in planar waveguides offer a promising method for high-speed signal processing in nanoscale integrated optoelectronic devices. Here, we use two counter propagating frequency combs with temporally synchronized pulses to demonstrate deterministic all-optical generation and electrical control of multiple plasmon polaritons, excited via difference frequency generation (DFG). Electrical tuning of a hybrid graphene-fiber device offers a precise control over the DFG phase-matching, leading to tunable responses of the graphene’s plasmons at different frequencies and provides a powerful tool for high-speed logic operations. Our results offer new insights for plasmonics on hybrid photonic devices based on layered materials and pave the way to high-speed integrated optoelectronic computing circuits.
Potential of indigenous strains of entomopathogenic nematodes under laboratory and Protected environment conditions for the control of Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) of North-Western Himalayas
Authors: Kasi Indra Kumar , Singh Mohinder , Waiba Kanchhi Maya , Sharma P L 
Published: January 2022

Abstract
Background

Entomopathogenic nematodes (EPNs) are a type of biological control agent that has been extensively studied. Under field and laboratory settings, the efficiency of two EPNs species, Heterorhabditis indica and Steinernema feltiae, isolated locally from soils of Rajghar, Himachal Pradesh, India, against an important invasive pest, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae), was assessed.
Results

Steinernema feltiae (isolate- HR-1) and Heterorhabditis indica (isolate- HA-2) species dose (10, 20, 40, 80, 160 IJs/cm2) are used in the lab bioassay. The third instar (percentage) ranges from 24.15 to 90.00 percent. HR1 and HA2 isolates demonstrated significant larvicidal activity with LC50, LC75, and LC90 of all instars and pupa show high mortality from 31.53 to 90.00 percent and 72-hours exposure duration. The strain slows larval development in 48 to 72 hours of exposure period, with LC50 values ranging from 05.42 to 19.29, LC75 values ranging from 20.29 to 83.12, and LC90 values ranging from 26.03 to 78.89. Greenhouse test seam isolates are foliar sprayed three times at a 14-day interval, with total findings revealing a 7.36 ore count range before spraying. The total treatment outcomes range from 1.64 to 1.74 for isolate HA-2, and 1.88 and 2.03 for HR-1. 4.15 percent was recorded in the control plot.
Conclusion

Invasive species pose a significant threat, as evidenced by this research. Traditional EPNs (S. feltiae HR-1, H. indica HA-2) have been used as an active biocontrol agent in laboratory and greenhouse settings, as well as the pathogen that infects T. absoluta.
Identification of Reproductive Health Monitoring Indicators in Iran
Authors: Mohamadi Efat , Taheri Mahshid , Yazdanpanah Mahdieh , Barakati Sayyed Hamed , Salehi Foroozan , Akbari Nahid , Khosravi Ardeshir , Eini-Zinab Hassan , Ghafoori Faezeh , kashefi Farzaneh , Rahimi Azamdokht , Mostafavi Hakimeh , Olyaeemanesh Alireza , Takian Amirhossein 
Published: January 2022

Abstract
Introduction As a result of recent demographic changes, Iran has revised its reproductive health programs. To respond to the essential need for monitoring the new programs and policies, this study aimed to identify tailored, appropriate, and measurable RH indicators in the Iranian context, using available evidence and international indicators.Method This is an applied mixed-methods research, which was conducted in four phases: Identification of goals of RH policies and programs, scoping review of the RH indicators in the literature, developing and ranking the identified indicators, and finalization of indicators. Qualitative content analysis was used to analyze the textual data of the documents and policies. We analyzed the studies in the scoping review by narrative synthesis. The final indicators were selected through the consensus of experts, with a cut-off point of 75%. Result We identified 689 indicators through document analysis and scoping review. After three round of screening, a total of 37 RH indicators were finalized. The first five indicators with the highest score were: total fertility rate, population under 15 years, total population, population aged 65 years and older, and age-specific fertility rate.Conclusion: The nature and number of indicators for monitoring and evaluation of reproductive health programs might vary at different organizational levels; hence the need to develop specific indicators for each level is pivotal. In addition, the need for collection, processing and dissemination of reliable data for evaluation of these programs is essential.
Mental workLoad Accumulation Effect of Mobile Phone Distraction in L2 Autopilot Mode
Authors: Zhao Hongfei , Ma Jinfei , Zhang Yijing , Chang Ruosong 
Published: January 2022

Abstract
As self-driving vehicles become more common, there is a need for precise measurement and definition of when and in what ways a driver can use a mobile phone in autonomous driving mode, for how long it can be used, the complexity of the call content, and the accumulated psychological load. This study uses a 2 (driving mode) * 2 (call content complexity) * 6 (driving phase) three-factor mixed experimental design to investigate the effect of these factors on the driver's psychological load by measuring the driver's performance on peripheral visual detection tasks, pupil diameter, and EEG components in various brain regions in the alpha band. The results showed that drivers' mental load levels converge between manual and automatic driving modes as the duration of driving increases, regardless of the level of complexity of the mobile phone conversation. This suggests that mobile phone conversations can also disrupt the driver's cognitive resource balance in automatic driving mode, as it increases mental load while also impairing the normal functioning of brain functions such as cognitive control, problem solving, and judgment, thereby compromising driving safety.