bluuebunny/crossref_metadata_2025_split huggingface dataset:
RUNX1-ETO and CBFβ-MYH11 converge on aberrant activation of BCAT1 to confer a therapeutic vulnerability in core binding factor-acute myeloid leukemia
Authors: Wang Siyang , Liu Yabin , Zhao Xujie , Wang Xiaoling , Lou Jiacheng , Jin Peng , Zhang Yi , Wang Kankan 
Published: July 2023

Abstract

Background: Effective targeted therapy is an unmet clinical need for core binding factor-acute myeloid leukemia (CBF-AML) characterized by RUNX1-ETO and CBFb-MYH11 fusions. However, therapeutically targeting oncogenic fusions involving transcription factors remains challenging. Recent studies point to aberrant amino acid metabolisms as actionable therapeutic targets.
Methods: We analyzed the expression of BCAT1in a large cohort of AML patients and a series of AML cell lines. Altered BCAA metabolism was assessed by metabolic profiling. Transcriptional activation of BCAT1by RUNX1-ETO and CBFb-MYH11 fusions was determined by ChIP-seq data, luciferase reporter assays, genetic manipulation, and chromatin conformation analysis. Anti-leukemic effects of inhibiting BCAT1 by genetic and pharmaceutical approaches were evaluated both in vitro and in vivo.
Results: High expression of BCAT1was exclusively found in CBF-AML patients and subsequently led to reprogrammed BCAA metabolism. Mechanistically, RUNX1-ETO and CBFb-MYH11 fusion proteins bound to chromatin to activate BCAT1 expression in a similar wild-type RUNX1-dependent manner through rewiring the chromatin conformation at the BCAT1gene locus. Functionally, BCAT1 inhibition resulted in blunted cell cycle, enhanced apoptosis, and myeloid differentiation of CBF-AML cells in vitro, pointing to critical dependence on BCAA metabolism. Strikingly, in vivotherapeutic effects of inhibiting BCAT1 by its specific inhibitor, Gabapentin, were evidenced by delayed leukemia progression and improved survival using the xenografted mouse model.
Conclusions: RUNX1-ETO and CBFβ-MYH11 converge on aberrant activation of BCAT1, representing a targeted therapeutic opportunity for CBF-AML.
A Combination of Structure-based Virtual Screening and Experimental Strategies to Identify the Potency of Caffeic Acid Ester Derivatives as SARS-CoV-2 3CLpro Inhibitor from an In-house Database
Authors: Pojtanadithee Piyatida , Isswanich Kulpornsorn , Buaban Koonchira , Chamni Supakarn , Wilasluck Patcharin , Deetanya Peerapon , Wangkanont Kittikhun , Langer Thierry , Wolschann Peter , Sanachai Kamonpan , Rungrotmongkol Thanyada 
Published: July 2023

AbstractDrug development requires significant time and resources, and computer-aided drug discovery techniques that integrate chemical and biological spaces offer valuable tools for the process. This study focused on the field of COVID-19 therapeutics and aimed to identify new active non-covalent inhibitors for 3CLpro, a key protein target. By combiningin silicoandin vitroapproaches, an in-house database was utilized to identify potential inhibitors. The drug-likeness criteria was considered to pre-filter 553 compounds from 12 groups of natural products. Using structure-based virtual screening, 296 compounds were identified that matched the chemical features of SARS-CoV-2 3CLpropeptidomimetic inhibitor pharmacophore models. Subsequent molecular docking resulted in 43 hits with high binding affinities. Among the hits, caffeic acid analogs showed significant interactions with the 3CLproactive site, indicating their potential as promising candidates. To further evaluate their efficacy, enzyme-based assays were conducted, revealing that two ester derivatives of caffeic acid (4kand4l) exhibited more than a 30% reduction in 3CLproactivity. Overall, these findings suggest that the screening approach employed in this study holds promise for the discovery of novel anti-SARS-CoV-2 therapeutics. Furthermore, the methodology could be extended for optimization or retrospective evaluation to enhance molecular targeting and antiviral efficacy of potential drug candidates.
Perception of mental health services during the COVID-19 pandemic – a German service user survey
Authors: Ni Elisabeth , Hörger Jana , Schulz Maike , Botros Christina , Glotz Sabine , Spiegel Jennifer , Memarzadeh Sonja , Schwarz Julian , Rüsch Nicolas , Peter Sebastian , Frasch Karel , Saumweber Timo , Hardt Olaf , Bechdolf Andreas , Mahlke Candelaria 
Published: July 2023

Abstract
Purpose
COVID-19 and the resulting restrictions in daily living had society-wide impact on mental health, especially for people with mental disorders. So far, there is little evidence on how the pandemic impacted mental health care provision and perceived access to mental health care.
Methods
We present self-reported data on mental health and mental health service use comparing pre- and peri-pandemic conditions. Data was taken from an online survey promoted via leaflet and mailing lists with n = 189 individuals who at the time of the survey or before used mental health services. Responses were obtained between mid-July 2021 and mid-June 2022.
Results
Respondents were on average 34 years old, 83% were women, and the majority were university students. 38% of respondents regarded their mental illness as severe or very severe. Mental distress increased during the pandemic but returned to baseline after the end of the lockdown measures. One third (32%) of participants said that they delayed (26%) or avoided (6%) mental health treatment; 60% responded that access was restricted due to pandemic-related regulations.
Conclusion
People with mental disorders suffered from decreased mental health during the pandemic. At the same time, they perceived restrictions in mental health care provision and tended to delay mental health treatment due to the COVID-19-related restrictions. This may result in a higher burden of disease following the pandemic.
Trial registration
The study that this research is a part of is registered with ClinicalTrials.gov: NCT04336527, April 7, 2020, updated May 31, 2023, https://clinicaltrials.gov/ct2/show/NCT04336527.
Fine-grained image processing based on convolutional neural networks
Authors: Miao Zongcheng 
Published: July 2023

Abstract
In the field of computer vision, convolutional neural networks are deep learning algorithms that can classify or detect images by learning image features. In order to achieve advanced recognition and analysis of images, multi-layer neural network models are employed in the discipline of image processing to gather and recall intricate aspects and patterns in the pictures. In this paper, we summarize and analyze the fine-grained image processing methods based on convolutional neural networks, including fine-grained image segmentation, image super-resolution reconstruction, and image edge detection methods. We also analyze the research progress of the three techniques both domestically and internationally. At the same time, experimental comparisons are conducted on mainstream datasets in the corresponding fields to obtain the performance of various fine-grained image processing methods. Finally, the development of convolutional neural networks in the field of fine-grained image processing is prospected.
Cyber-Physical Security Framework for Critical Infrastructure Protection in Power Systems
Authors: Jha Rahul Kumar 
Published: July 2023

Abstract
The increasing instabilities in power transmission and distribution necessitate power grid operators to enhance their utilization of communication infrastructure for the purpose of monitoring and controlling the grid. However, this heightened communication activity also creates a larger vulnerability for malicious individuals. Incidents of cyber-attacks on power grids have already caused significant, temporary blackouts in recent times. This study examines the communication infrastructure of power grids and identifies the fundamental cybersecurity challenges that arise as a result. Subsequently, a wide range of potential attack vectors and scenarios that pose a threat to power grid security are identified. To address these challenges, this paper proposes the adoption of a defense-in-depth strategy that includes measures for device and application security, network security, physical security, as well as policies, procedures, and awareness. Within each of these categories, this paper present a comprehensive collection of cutting-edge approaches and highlight additional opportunities to enhance cybersecurity in interconnected power grids.
Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: A retrospective multicentre study
Authors: Yang Youchang , Ren QingGuo , Yu Rong , Wang JiaJia , Yuan ZiYi , Jiang QingJun , Guan Shuai , Tang XiaoQiang , Duan TongTong , Meng XiangShui 
Published: July 2023

Abstract

Purpose: To develop and validate a predictive combined model for metastasis in patients with clear cell renal cell carcinoma (ccRCC) by integrating multimodal data.
Materials and Methods: In this retrospective study, the clinical and imaging data (CT and ultrasound) of patients with ccRCC confirmed by pathology from three tertiary hospitals in different regions were collected from January 2013 to January 2023. We developed three models, including a clinical model, a radiomics model, and a combined model. The performance of the model was determined based on its discriminative power and clinical utility. The evaluation indicators included AUC value, accuracy, sensitivity, specificity, negative predictive value, positive predictive value and DCA(Decision Curve Analysis) curve.
Results:A total of 251 patients were evaluated. Patients (n=166) from Shandong University Qilu Hospital (Jinan) were divided into the training cohort, of which 50 patients developed metastases; patients (n=37) from Shandong University Qilu Hospital (Qingdao) were used as testing set 1, of which 15 patients developed metastases; patients (n=48) from Changzhou Second People's Hospital were used as testing set 2, of which 13 patients developed metastases. In the training set, the combined model showed the highest performance (area under the receiver operating characteristic curve [AUC], 0.924) in predicting lymph node metastasis, while the clinical and radiomics models both had AUCs of 0.875 and 0.870, respectively. In the testing set 1, the combined model had the highest performance (AUC, 0.877) for predicting lymph node metastasis, while the AUCs of the clinical and radiomics models were 0.726 and 0.836, respectively. In the testing set 2, the combined model had the highest performance (AUC, 0.849) for predicting lymph node metastasis, while the AUCs of the clinical and radiomics models were 0.708 and 0.804, respectively. The DCA curve showed that the combined model had a significant prediction probability in predicting the risk of lymph node metastasis in ccRCC patients compared with the clinical model or the radiomics model.
Conclusion: The combined model was superior to the clinical and radiomics models in predicting lymph node metastasis in ccRCC patients.
Key parameters of gob-side entry retaining by roof cutting in close-distance seam group
Authors: Hu Chaowen , Yang Xiaojie , Li Qian , Hu Bing , Li Yongyuan , Jiang Qi , Sun Fulong 
Published: July 2023

Abstract
During the process of close-distance seam group mining, the coal pillar in the upper coal seam is a stress-concentrated area, which leads to a loss of stability of the roadway during mining of the lower coal seam. This lack of stability introduces great safety hazards to coal mines. To solve the problem of stress concentration of coal pillars, the method of gob-side entry retaining by roof cutting is proposed to remove the coal pillar. In this study, FLAC3D was used to analyze the depth and angle of pre-split blasting. LS-DYNA was used to analyze the spacing of the blasthole. Using the methods of theoretical analysis and numerical simulation, we determined that the optimal depth of the pre-split blasting was 6 m, the optimal angle for pre-split blasting was 15°, and the optimal spacing of the blasthole was 500 mm. A field test was carried out in the 1010201 ventilation roadway of the Yuwang Coal Mine, China. The on-site peeping results showed that when the spacing of the blasthole is 500 mm, connecting cracks can form under the action of blasting stress. After the working surface is mined, the roof strata could collapse and fill the gob over time when the depth and angle of the pre-split blasting are 6 m and 15°, respectively.
Development and validation of the pharmacist care model and definitions
Authors: Al-Worafi Yaser Mohammed 
Published: July 2023

Abstract
Aims
The aim of this study was to develop and validate the pharmacist care model and definitions
Methodology
The pharmacist care model and definitions were developed and validated based on many steps, including an extensive literature review, experts’ opinions, and the Delphi method. Data were entered and analyzed using SPSS version 21 (SPSS Statistics for Windows, version 21.0, IBM Corp., USA). The qualitative part was manually analyzed, then summarized all transcripts.
Results
After an extensive literature review, discussion with experts and three rounds of the Delphi method with 70 international experts, including university professors and pharmacists, the pharmacist care model and definitions were developed and validated. The pharmacist care model contains the following themes: preventive medicine, self-care, dispensing and counselling, diseases and conditions management, patient & medications safety, tele-pharmacy, training pharmacy students and research. Five definitions of pharmacist care were developed during the literature review, qualitative interview, and rounds 1 and 2; however, the consensus was achieved for three definitions only, definition one with 92.42% agreement, definition two with 86.36% agreement and definition three with 80.30% agreement.
Conclusion
The pharmacist care model and definitions were developed and validated have been developed and validated and can be used to represent the actual contribution and impact of pharmacists on the patient’s care and health.
Modeling of the Cervical Spine as a System With Several Degrees of Freedom Subjected to a Non-periodic Excitation Force.
Authors: Kiala Georges Meya , Mosi Fabrice Bosikwa , Temo Vertome Sumuna , Mabenza Betty Miangindula , Bikuku Honoré Nkakudulu , Thsibamba Phyton Kabeya , Kalabo Louise Kikontwe , Kibimbi Patient Ngereza , Muamba Jean Mari Mbuyi 
Published: July 2023

Abstract
Background and rationale:
Previous cervical traction studies have investigated the impact of traction force intensity and duration of traction force on outcomes of cervical traction therapy.
Objective
The present study aims to demonstrate the impact of the intensity of the traction force and the time of the rise of this force on the measurement of separation during cervical spine traction.
Method
the human cervical spine was modeled as a system with eight degrees of freedom, an undamped system subjected, first of all, to a force of rectangular impulse then to a force of progressive intensity (sloping). The equations of motion describing this model were written and then solved using modal analysis. The intensity of the traction force and the time rise of the force were gradually modified in order to verify their impact on the evolution of the increase in intervertebral spaces.
Result
the numerical results showed that the intervertebral spaces calculated using different increments of the rise time (1'', 5'', 10'', 15'' and more) do not differ much and this remains proportional to the gradual increase in the tensile force applied (100N, 150N, 200N). A gradual increase in the intervertebral spaces has also been observed, these spaces being all the higher as the tensile force is greater.
Conclusion
This study confirms the need to monitor the speed of deployment of the traction force (rise time) as well as the progressive evolution of the widening of the intervertebral spaces, proportional to the traction force applied. However, it emphasizes that the time variation of the climb has almost no influence on the gain in intervertebral space. Hence the need on the one hand to monitor the speed of execution of the cervical traction to avoid damage to the anatomo- physiological structures and on the other hand the downward revision of the duration of a cervical traction session.
Charge-Delocalized Triptycene-Based Ionic Porous Organic Polymers as Solid Electrolytes for Lithium Metal Batteries
Authors: Yuan Yufei , Wang Dan-Dong , Zhang Zhengyang , Bang Ki-Taek , Chen Huanhuan , Wang Rui , Wang Yanming , Kim Yoonseob 
Published: July 2023

Abstract
Ideal solid-state electrolytes for lithium (Li) metal batteries should conduct Li+ rapidly with low activation energy, exhibit a high Li+ transference number, form a stable interface with the Li anode, and be electrochemically stable. However, the lack of solid electrolytes that meet all these criteria has remained a considerable bottleneck in the advancement of lithium metal batteries. In this study, we present a design strategy combining all those requirements in a balanced manner. We prepared Li+-coordinated triptycene-based ionic porous organic polymers (Li+@iPOPs). The Li+@iPOPs with imidazolates and phenoxides exhibited a high conductivity of 4.38 mS cm−1 at room temperature, a low activation energy of 0.627 eV, a high Li+ transference number of 0.95, a stable electrochemical window of up to 4.6 V, excellent compatibility with Li metal electrodes, and high stability during Li deposition/stripping cycling. The high performance can be attributed to charge delocalization in the backbone, which facilitates the diffusion of coordinated Li+ through the porous space of the triptycene-based iPOPs. In addition, Li metal batteries assembled using Li+@Trp-Im-O-POPs as the solid electrolyte and a LiFeO4 cathode showed an initial capacity of 114 mAh g−1 and retained 86.7% of the capacity after 200 cycles.
Effect of imatinib on lipopolysaccharide‑induced acute lung injury and endothelial dysfunction through P38 MAPK and NF-κB signaling pathway in vivo and in vitro
Authors: Liu yaru , Li duanyang , li zhenyu , Zhang tianyi , Wang keruo , Liang xue , Zong xiaolong , Yang hong 
Published: July 2023

AbstractThe primary purpose of these research was to demonstrate the preventive effect of IMA on lipopolysaccharide (LPS)-induced inflammation in acute lung injury(ALI) mouse models and Human umbilical vascular endothelial cells (HUVECs). LPS stimulation for 24h to induce ALI and inflammation of cells. The pathological results of lungs was evaluated by W/D ratio, pulmonary vascular permeability measurement and immunohistochemistry of myeloperoxidase(MPO). Cell viability was measured using CCK8 assay. Expression of pro-inflammatory mediators was analyzed by RT-PCR and ELISA. The protein level was analyzed by Western blot. The structure of cell junction was detected by immunofluorescence. IMA dose-dependently improved pulmonary pathological damage induced by LPS, reduced the lung wet/dry weight ratio and MPO expression in lung tissue. IMA decreased bronchoalveolar lavage fluid (BALF) inflammatory cell count, as well as the release of tumour necrosis factor-α (TNF-α), interleukin-6 (IL-6) and monocyte chemotactic protein 1 (MCP-1) in blood. Pretreatment with IMA in HUVECs significantly attenuated LPS-induced actin stress fiber formation and VE-cadherin disruption. In addition, IMA down-regulated the mRNA abundances of Vascular cell adhesion molecule 1 (VCAM-1), intercellular adhesion molecule 1 (ICAM-1), interleukin-1B (IL-1β), IL-6 and TNF-α expression, the phosphorylation of protein p-p65, p-IκBα, p-p38, p-ERK and p-JNK induced by LPS were attenuated after IMA treatment in vivo and in vitro. In summary, IMA modulate of NF-κB and MAPK signaling pathways as well as the production of pro-inflammatory cytokines to prevent cellular damage due to LPS infection. These results indicate that in the treatment of LPS-induced acute lung injury, IMA could be a potential modulator.
WITHDRAWN: Resistance evaluation of eleven potato varieties against potato leaf-roll virus and physiological responses to virus infection
Authors: Bao Sarina , Chen Enfa 
Published: July 2023

Abstract
Potato leaf-roll virus (PLRV) is a prevalent and serious viral disease affecting potato production. Like other viruses, controlling PLRV through selective breeding and planting resistant varieties is the most effective and economical measure. However, in China, commercial potato cultivars have not been well characterized for resistance to PLRV. This study evaluated the resistance of eleven potato varieties and found that infection rates varied significantly among the varieties (ranging from 21–90.7%). Two varieties (Kexin NO.1 and DongNong 308) showed strong resistance to PLRV, while HuTou exhibited tolerance, and NeiShu NO.7, LongShu NO.3, and ZhongShu NO.11 showed moderate resistance. Atlantic and Desiree showed moderate susceptibility, whereas Shepody, Faverita, and Russet Burbank were susceptible to PLRV. Moreover, the study investigated the activities of the Nitric oxide (NO) and antioxidant enzymes, superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) in the leaves of different varieties during infection with PLRV, revealing significantly higher levels of NO, SOD, and POD in PLRV-inoculated resistant and moderately resistant varieties compared to susceptible and non-inoculated plants. Moreover, CAT activities were lower in susceptible varieties and decreased significantly in susceptible genotypes than non-inoculated plants. These findings suggest that antioxidant enzymes may play an essential role in the defense mechanism of potato plants against viral infections, emphasizing the practical importance of selective breeding to develop PLRV-resistant potato varieties.
Mass production of arbuscular mycorrhizal fungi on soybean mill waste inoculated with Burkholderia arboris and planted to sorghum
Authors: Chourasiya Dipanti , Ramesh Aketi , Maheshwari Hemant Singh , Prakash Anil , Drijber Rhae , Sharma Mahaveer P 
Published: July 2023

Abstract
Arbuscular mycorrhizal (AM) fungi are being used as a new generation biofertilizers to increase plant growth by improving plant nutrition and bio-protection. However, because of its obligatory nature of plant host, large-scale multiplication of AM propagules is challenging, which limits the scope of its applicability. The purpose of current study was to evaluate Burkholderia arboris’sability to increase AM production in soybean mill waste planted with sorghum as host plant. The study was conducted in a completely randomized design comprising of four inoculation treatments (B. arboris, AM fungi, B. arboris plus AM fungi, and a no inoculum as control) under sterilized and unsterilized conditions. AM production was investigated microscopically through spore density and root colonization, as well as biochemically using AM-specific lipid biomarker, 16:1w5cis derived from neutral lipid fatty acid (NLFA) and phospholipid fatty acid (PLFA) fractions from both soil and roots.
Integrating B. arboris with AM fungi in organic amended pots was found to increase AM fungal production by 62.16 spores/g soil and root colonization by 80.85%. Biochemical parameters also increased with B. arboris inoculation: 5.49 nmol PLFA/g soil and 692.68 nmol PLFA/g root and 36.72 nmol NLFA/g soil and 3147.57 nmol NLFA/g root. Additionally, when compared to other combinations, co-inoculation increased glomalin related soil protein and root biomass. The principal component analysis (PCA) further explained the higher contribution of B. arboris to AM fungi multiplication under unsterilized conditions. In conclusion, adding B. arboris to organic potting mixes could be a promising and cost-effective approach of increasing AM inoculum density for commercial production.