bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of m + a′ for commercial hybrids of yellow melon
Authors: Ferreira Karmita Thainã Correa , Martins Adriano Ferreira , Loureiro Leandro Costa , Graciano Lidiane Kely Lima , Melo Stefeson Bezerra , Silva Ruty Mainá Penha , Silva Edicleide Macedo , Nunes Glauber Henrique Sousa
Published: May 2023

Estimation of m + a′ and d is a promising strategy to guide the selection of crop populations and lines. This study aimed to predict the contribution of homozygous loci (m + a′) to agronomic characters of commercial hybrids of yellow melon. Seven single-cross commercial hybrids (F1) of yellow melon were used (H1, H2, H3, H5, H4, H6, and H7), as well as their self-pollinated progenies (F2), totaling 14 populations. The experimental design was a randomized complete block with three replications. Fruit number, average fruit weight, yield, pulp thickness, pulp firmness, and soluble solids content were assessed. The data were subjected to a likelihood ratio test, deviance analysis, m + a′ and d estimation, and correlation analysis. Five of the six characters evaluated showed m + a′ values close to or greater than 90%. These values suggest that most loci are fixed for these traits. Inbreeding depression for fruit number, average fruit weight, pulp thickness, pulp firmness, and soluble solids is minimal. Hybrids H6, H4, and H5 showed promise for the selection of superior lines.
Immobilization of α-transglucosidase on silica-coated magnetic nanoparticles and its application for production of isomaltooligosaccharide from the potato peel
Authors: Maurya Rohit , Ali Usman , Kaul Sunaina , Bhaiyya Raja , Singh Ravindra Pal , Mazumdar Koushik
Published: May 2023

In this study production of isomaltooligosaccharide from potato peels starch was carried out in three steps such as liquefaction, saccharification, and transglycosylation. Further, cloning α-transglucosidase gene from Aspergillus niger (GH31 family), transforming into E. coli BL21 (DE3), overexpressing and purifying the resulting protein for the production of α-transglucosidase. For improved reusability, the generated α-transglucosidase was then bound with magnetic nanoparticles (6 cycles). All the modifications were characterized using the following methods: Fourier transform infra-red (FT-IR) analysis, Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersive X-ray (EDX) spectroscopy, X-Ray Diffraction Spectroscopy (XRD), and Thermogravimetric Analysis (TGA). Further The optimum conditions for transglycosylation were determined by RSM as follows: enzyme to substrate ratio 6.9 U/g, reaction time 9 h, temperature 45°C, and pH 5.5 with yield of 70 g/l (±2.1). MALDI-TOF-MS analysis showed DP of the IMOs in ranges of 2-10. The detailed structural characterization of isomaltooligosaccharide by GC-MS and NMR suggested the α-(1→4) and α-(1→6)-D-Glcp residues as major constituents along with minor α-(1→2) and α-(1→3)-D-Glcp residues.
Energy planning in Sub-Saharan African countries needs to explicit consider productive uses of electricity
Authors: Dagnachew Anteneh Getnet , Choi Su-Min , Falchetta Giacomo
Published: May 2023

Studies show the role of various electrification technologies in providing electricity access to households in Sub-Saharan Africa, with a focus on electricity demand for end-use services such as lighting, cooking, heating, cooling and other appliance use. The demand for productive use of electricity, which is important to enhance income generation opportunities and labour productivity, is usually not considered. Using the IMAGE-TIMER integrated assessment model framework, we present a methodology to project the impact of productive activities on the electricity system of the region. We show that growing productive activities increase household electricity demand by half, which has important consequences for determining the cost-optimal electrification technologies. We argue that planning of electricity systems should accommodate this increase in electricity demand for productive uses. In addition, while productive uses of electricity have a positive impact on the financial viability of electrification systems, they also increase the electricity sector investment requirements considerably.
Cross-Cultural Validation in Times of COVID-19: An Example Using the COVID-19 Peritraumatic Distress Index (CPDI) among Spanish and Peruvian Populations
Authors: Böttcher Fabian , Pedraz-Petrozzi Bruno , Lamadé Eva Kathrin , Jimenez Maria Pilar , Rieker Jennifer , Reales José Manuel , Arevalo-Flores Martin , Anculle-Arauco Víctor , Krüger-Malpartida Hever , Ballesteros Soledad
Published: May 2023

BackgroundThe COVID-19 pandemic has led to a significant psychological impact worldwide. The COVID-19 Peritraumatic distress index (CPDI) is widely used to assess psychological stress during the COVID-19 pandemic. Although CPDI has been validated in Peru and Spain, no cross-cultural validation studies have been conducted. As an exploratory aim, differences in CPDI factorial scores between the most prevalent medical conditions in two samples from a general population of Peru and Spain were investigated.Materials and MethodsWe conducted secondary data analysis with data from Peru and Spain to validate the CPDI in a cross-cultural context. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and multigroup confirmatory factor analysis (MGCFA) were performed to evaluate the factor structure and measurement invariance of the CPDI across cultural contexts.ResultsThis study revealed a bifactorial solution (stress and rumination/information) for the CPDI, consistent with previous studies. The MGCFA demonstrated measurement invariance across cultural contexts (scalar invariance), indicating that the CPDI construct has the same meaning across both groups, regardless of cultural context and language variations of Spanish. Patients with anxious-depressive disorders showed higher CPDI factorial scores for both factors, whereas patients with respiratory diseases were only associated with the stress factor.ConclusionThis study provides evidence for the cross-cultural validity of the CPDI, highlighting its utility as a reliable instrument for assessing psychological stress in the context of COVID-19 across different cultures. These findings have important implications for developing and validating measures to assess psychological distress in different cultural contexts.
Associations between UGT1A1, SLCO1B1, SLCO1B3, BLVRA and HMOX1 polymorphisms and susceptibility to neonatal severe hyperbilirubinemia in Chinese Han Population
Authors: Fan Juan , He Hua-Yun , Li Huan-Huan , Wu Pi-Liu , Tang Lei , Deng Bo-Yin , Dong Wen-Hui , Wang Jian-Hui
Published: May 2023

Background
Severe neonatal hyperbilirubinemia could lead to kernicterus and neonatal death. This study aimed to analyze the association between single nucleotide polymorphisms in genes involved in bilirubin metabolism and the incidence of severe hyperbilirubinemia.
Methods
A total of 144 neonates with severe hyperbilirubinemia and 50 neonates without or mild hyperbilirubinemia were enrolled in 3 institutions between 2019 and 2020. Twelve polymorphisms of 5 genes (UGT1A1, SLCO1B1, SLCO1B3, BLVRA, and HMOX1) were analyzed by PCR amplification of genomic DNA. Genotyping was performed using an improved multiplex ligation detection reaction technique based on ligase detection reaction.
Results
The frequencies of the A allele in UGT1A1-rs4148323 and the C allele in SLCO1B3-rs2417940 in the severe hyperbilirubinemia group (30.2% and 90.6%, respectively) were significantly higher than those in the controls (30.2% vs.13.0%, 90.6% vs. 78.0%, respectively, both p < 0.05). Haplotype analysis showed the ACG haplotype of UGT1A1 were associated with an increased hyperbilirubinemia risk (OR 3.122, p = 0.001), whereas the GCG haplotype was related to a reduced risk (OR 0.523, p = 0.018).
Conclusion
The frequencies of the A allele in rs4148323 and the C allele in rs2417940 are highly associated with the incidence of severe hyperbilirubinemia in Chinese Han neonates.
Trial registration: Trial registration number:ChiCTR1800020424, Date of registration:2018-12-29
Using Machine Learning and Deep Learning Algorithms for Downtime Minimization in Manufacturing Systems: An Early Failure Detection Diagnostic Service
Authors: Shahin Mohammad , Chen F. Frank , Hosseinzadeh Ali , Zand Neda
Published: May 2023

Accurate detection of possible machine failure allows manufacturers to identify potential fault situations in processes to avoid downtimes caused by unexpected tool wear or unacceptable workpiece quality. This paper aims to report the study of more than 20 fault detection models using Machine Learning (ML), Deep Learning (DL), and Deep Hybrid Learning (DHL). Predicting how the system could fail based on certain features or system settings (input variables) can help avoid future breakdowns and minimize downtime. The effectiveness of the proposed algorithms was experimented with a synthetic predictive maintenance dataset published by the School of Engineering of the University of Applied Sciences in Berlin, Germany. The fidelity of these algorithms was evaluated using performance measurement values such as accuracy, precision, recall, and the F-Score. Final results demonstrated that Deep Forest and Gradient Boosting algorithms had shown very high levels of average accuracy (exceeded 90%). Additionally, the Multinominal Logistic Regression and Long Short Term Memory based algorithms have shown satisfactory average accuracy (above 80%). Further analysis of models suggests that some models outperformed others. The research concluded that, through various ML, DL, and DHL algorithms, operational data analytics, and health monitoring system, engineers could optimize maintenance and reduce reliability risks.
Typical CIDP, distal variant CIDP, and anti-MAG antibody neuropathy – an ultra-high frequency ultrasound comparison of nerve structure
Authors: Puma Angela , Grecu Nicolae , Badea Raluca Ș. , Morisot Adeline , Zugravu Roxana , Ioncea Mihai B. , Cavalli Michele , Lăcătuș Oana , Ezaru Andra , Hacina Chorfa , Villa Luisa , Raffaelli Charles , Azulay Nicolas , Sacconi Sabrina
Published: May 2023

To date, little is known about the usefulness of ultra-high frequency ultrasound (UHF-US, 50–70 MHz) in clinical practice for the diagnosis of dysimmune neuropathies. We present a prospective study aimed at comparing UHF-US alterations of nerves and fascicles in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), distal CIDP (d-CIDP) and anti-MAG neuropathy and their relationships with clinical and electrodiagnostic (EDX) features. Twenty-eight patients were included (twelve CIDP, six d-CIDP and ten anti-MAG) as well as ten healthy controls. Each patient underwent neurological examination, EDX and UHF-US study of both median and ulnar nerves. UHF-US was reliable in differentiating immune neuropathies from controls when using mean and/or segmental nerve and/or fascicle cross-sectional area (CSA); furthermore, fascicle ratio (fascicle/nerve CSA, FR) was a reliable factor for differentiating d-CIDP from other types of polyneuropathies. Mean median nerve fascicle CSA, fascicle CSA and FR for the median nerve in the antecubital fossa and for the ulnar nerve in the midarm segment were able to distinguish CIDP from anti-MAG polyneuropathy, while ulnar nerve CSA in the mid-forearm differentiated between anti-MAG and d-CIDP. UHF-US offers information beyond simple nerve CSA and allows for a better characterization of the different forms of dysimmune neuropathies.
Disseminated Nocardiosis in a Patient with Alcoholic Liver Cirrhosis: A Case Report
Authors: Alqurashi Rewaa , Alobida Husam , Albathi Abdullah , Aldraihem Moneera
Published: May 2023

Background Nocardia are Gram-positive, aerobic, filamentous bacteria that can cause localized or disseminated infections. Risk factors for the development of disseminated nocardiosis include infection with Nocardia farcinica, autoimmune diseases, and lymphopenia. To date, limited data have documented the relationship between nocardiosis and alcoholic liver disease.Case presentation We report the case of a 47-year-old man with a known history of alcoholic liver cirrhosis. The patient presented to our emergency department with redness, swelling in the left eye, and diminished bilateral vision. Fundus examination of the left eye was obscured, while that of the right eye was consistent with subretinal abscess. Therefore, endogenous endophthalmitis was suspected. Imaging revealed two ring-enhancing lesions in the brain, and multiple bilateral small cystic and cavitary lung lesions. Unfortunately, the left eye eventually eviscerated due to the rapid progression of the disease. Cultures from the right eye were positive for Nocardia farcinica. The patient was started on imipenem, trimethoprim/sulfamethoxazole, and amikacin based on culture sensitivity. The patient’s hospitalization course was complicated by his aggressive and advanced condition, which led to his death.Conclusions: Although the patient’s condition initially improved with the recommended antibiotic regimens, it led to death owing to the patient’s advanced condition. Early detection of nocardial infection in patients with typical or atypical immunosuppressive conditions may improve overall mortality and morbidity. Liver cirrhosis disrupts cell-mediated immunity and may increase the risk of Nocardia infection.
Microbial Degradation of Benzimidazole Fungicide Carbendazim by Bacillus velezensis HY-3479
Authors: Song Suyoung , Hwang Cher-Won
Published: May 2023

Carbendazim (Methyl benzimidazol-2-ylcarbamate: MBC) is a fungicide of the benzimidazole group which is widely used in the cultivation of pepper, ginseng, and many other crops. To remove the remnant carbendazim, many rhizobacteria are used as biodegradation agents. A bacterial strain of Bacillus velezensis HY-3479 was found to be capable of degrading MBC in M9 minimal medium added with 250 mg/L carbendazim. The strain had a significantly higher degradation rate compared to the control strain Bacillus subtilis KACC 15590 in HPLC analysis and HY-3479 had the best degradation rate of 76.99% at 48 hours. In gene expression analysis, upregulation of carbendazim degrading genes (mheI, hdx) was observed in the strain. HY-3479 was able to use MBC as the sole source of carbon and nitrogen but the addition of 12.5 mM NH4NO3 significantly raised the degradation rate. HPLC analysis showed that the degradation rate increased to 87.19% when added with NH4NO3. Relative gene expression of mheI and hdx also increased higher for samples with NH4NO3 supplement. The enzyme activity of carbendazim degrading enzyme and the 2-aminobenzimidazole degrading enzyme was found to be highly present in the HY-3479 strain. The biodegrading activity of strain HY-3479 may be developed as useful means for bioremediation and used as a potential microbial agent in sustainable agriculture.
A Novel Organic Semiconductor 4-phenylthiazol-2-yl-(phenylhydrazono) acetonitrile (PTPA) Thin Films: Synthesis, Optical and Electrical properties
Authors: Abuelwafa Amr Attia , Elnobi Sahar , Santos M. A. , Alsoghier H. M.
Published: May 2023

In this study, 4-phenylthiazol-2-yl-(phenylhydrazono) acetonitrile (PTPA) azo dye was synthesized and studied from optical and electrical point of view. The tautomerization phenomenon of the PTPA dye was clarified using one- dimensional (1D) and two- dimensional (2D) nuclear magnetic resonance (1HNMR and 13C NMR), absorbance (UV-Vis), emission, and infrared spectroscopy (FT-IR). X-ray diffraction (XRD) evaluations indicated that PTPA in powder and thin films crystallizes in a monoclinic system structure with nonostructural characteristics. Spectrophotometric measurements of absorbance A (λ), transmittance T (λ), and reflectance R (λ) at normal incidence light in the wavelength range 200–2500 nm were used to determine optical band gap, extinction coefficient, k, and refractive index, n. Also, non-linear optical parameters such as the third order non-linear susceptibility, χ(3) and nonlinear refractive index, n(2), of PTPA were revealed an awe-inspiring switching behavior, implying the possibility of using PTPA in optical switching systems. Finally, the electrical conductivity of the PTPA was raised with rising temperature, indicating that it is a typical organic semiconductor. Mott’s parameters were determined and discussed at low temperature. Thus, PTPA is a promising organic semiconductor with broad utility potential in organic electronics such as organic light-emitting diodes (OLEDs).
WITHDRAWN: Depression clinical detection model based on social media: a federated deep learning approach
Authors: Liu Yang
Published: May 2023

Depression can significantly impact people’s mental health, and recent research shows that social media can provide decision-making support for healthcare professionals and serve as supplementary information for understanding patients’ health status. Deep learning models are also able to assess an individual’s likelihood of experiencing depression. However, data availability on social media is often limited due to privacy concerns, even though deep learning models benefit from having more data to analyze. To address this issue, this study proposes a methodological framework system for clinical decision support that uses federated deep learning (FDL) to identify individuals experiencing depression and provide intervention decisions for clinicians. The proposed framework involves evaluation of datasets from three social media platforms, and the experimental results demonstrate that our method achieves state-of-the-art results. The study aims to provide a personalized clinical decision support system with evolvable features that can deliver precise solutions and assist healthcare professionals in medical diagnosis. The proposed framework that incorporates social media data and deep learning models can provide valuable insights into patients’ health status, support personalized treatment decisions, and adapt to changing healthcare needs.
Upfront primary tumor resection versus upfront systemic therapy for metastatic colorectal cancer: a systematic review and meta-analysis from randomized controlled trials and propensity score matched studies.
Authors: Lo Shih-Jung , Huang Shu-Huan , Lai I-Li , Chern Yih-Jong , Hsu Yu-Jen , Liao Chun-Kai , Cheng Ching-Chung , Tsai Wen-Sy , Hsieh Pao-Shiu , You Jeng-Fu
Published: May 2023

Purpose The standard initial treatment for metastatic colorectal cancer (mCRC) remains debated. This study investigated whether upfront primary tumor resection (PTR) or upfront systemic therapy (ST) provides better survival outcomes for patients with mCRC.Methods The PubMed, Embase, Cochrane Library, and ClinicalTrials.gov databases were searched for studies published at any time from January 1, 2004, to December 31, 2022. Randomized controlled trials (RCTs) and prospective or retrospective cohort studies (RCSs) utilizing propensity score matching (PSM) or inverse probability treatment weighting (IPTW) were included. We evaluated overall survival (OS) and short-term (60-day) mortality in these studies.Results After reviewing 3,626 articles, we identified 10 studies including a total of 38,947 patients. OS differed significantly between the upfront PTR and upfront ST arms (hazard ratio [HR] 0.62; 95% CI: 0.57–0.68; p < 0.001). However, a subgroup analysis identified no significant difference in OS in RCTs (HR 0.97; 95% CI: 0.7–1.34; p = 0.83), whereas significant difference in OS occurred between the treatment arms in RCSs with PSM or IPTW (HR 0.59; 95% CI: 0.54–0.64; p < 0.001). Short-term mortality was analyzed in three RCTs, and 60-day mortality differed significantly between the treatment arms (risk ratio [RR] 3.47; 95% CI: 1.21–9.96; p = 0.02).Conclusions In RCTs, upfront PTR for mCRC did not improve OS and enhanced the risk of 60-day mortality. By contrast, in RCSs, PSM or IPTW provided improved OS. Therefore, whether upfront PTR should be used for mCRC remains unclear. Further large RCTs are required.
A well-posed problem for the time fractional dual-phase-lag heat conduction
Authors: Sankeshwari Sagar , Kulkarni Vinayak
Published: May 2023

This is an attempt to reconstruct the theory of a well-posed problem for the dual-phase-lag heat conduction developed by Quintanilla in the context of time-fractional derivatives of order $\alpha \in (0,2] $. The heat conduction equation has been derived in the context of two temperature theory. The well-posedness of the problem has been proved by showing continuous dependence of the solution on the initial data and energy supply term. Moreover, the existence and uniqueness of the solution also have been proved subject to stability condition for the constitutive coefficients on the point spectrum. Due to the application of phase-lag $\tau$ = $\tau_{q}$ - $\tau_{T}$ satisfying $\tau$ $> 0$, thermal wave propagates with the finite speed. As a special case, an illustrative example has been discussed for heat transfer and thermal stress analysis of the solid heat conductor in the Cartesian domain. The analytical solutions have been achieved in the Laplace domain. The time domain inversions of the Laplace transforms have been numerically accomplished using the Gaver-Stehfest algorithm, satisfying Kuznetsov's convergence condition. The localized heat conduction $\alpha =0$, the classical thermoelasticity $\alpha =1$, the fractional thermoelasticity $\alpha =0.5$ and thermoelasticity without energy dissipation $\alpha =2$ have been discussed numerically and illustrated graphically.
Mathematics Subject Classification (2010) 26A33 · 35L35 · 44A10 · 65R10 · 74F05
Lipid metabolism disturbances in papillary thyroid cancer patients and the relationship with iodine nutrition status
Authors: Zhai Yuqian , Wang Xuebin , Luo Jie , Wang Xueqian , Liu Zhonghao , Wang Junrong , Liu Zhiyong , Mao Xionghui , Fan Lijun
Published: May 2023

Objective: Cancer patients are frequently accompanied by problems in lipid metabolism. Uncertainty exists as to whether changes in serum lipids occur in patients with papillary thyroid cancer (PTC) and their relationship with iodine nutrition remains obscure. The aim of this study was to explore lipid metabolism disturbances in PTC patients and their relationship with iodine nutrition status.
Methods: A total of 909 patients who were initially diagnosed with PTC and 183 patients who were initially diagnosed with benign thyroid nodules were enrolled in this study. The serum iodine concentration (SIC), the urine iodine concentration (UIC) and nine serum lipids indicators were measured. The generalized linear model (GLM) together with other statistical methods were used to determine whether there were differences in serum lipids between patients with PTC and those with benign thyroid nodules.
Results: After adjusting for baseline information, triglycerides (TG) levels in the control group (4.29±1.21) were significantly higher than in the cancer group (1.59±1.25). The rate of abnormal thyroid function was significantly lower in the patients with PTC than in the patients with benign nodules. In the PTC patients, different clinicopathological features had an impact on thyroid function, as reflected by a significant increase in FT3 in PTC with lymph node metastases, a significant increase in TSH, TGAb, and TPOAb, and a significant decrease in FT4 in PTC with AITD. Correlation analysis revealed weak to moderate correlations between iodine nutritional status, thyroid function, and serum lipids. In benign thyroid nodule patients, LDL-C and ApoB values in patients with benign thyroid nodules were significantly higher in the high SIC group than in the adequate and deficient groups. In PTC patients. ApoE levels in the low UIC group were significantly higher than in the middle and high UIC groups. Mediating effects were used to analyze the effect of iodine nutrition on the serum lipids, it showed that the total and direct effects of iodine nutritional status on serum lipids were significant, and the mediating effect of thyroid function was not significant.
Conclusion: TG levels in the control group were significantly higher than in the PTC group. Iodine nutritional status influences lipids, and an excess or deficient iodine nutrition increases the risk of dyslipidemia in patients with thyroid nodule. Iodine nutritional status had a direct effect on serum lipids.
Roseobacter Weihaiensis soli sp. nov., an actinobacterium isolated from limpet collected from Golden Beach in Weihai, China
Authors: Li Yu-Rui , Zhang Ming-Jing , Yi Yan-Jun , Wang Xiao-Chen , San Dong-Mei , Zhou Yan-Xia
Published: May 2023

Strain H9T belongs to the genus Roseobacter, with positive gram stain, catalase negative, oxidase negative, pink purple, rod-shaped, amastigote, isolated from lempet collected from the Golden Beach, Weihai, Shandong Province, China. The new isolates was able to grow at 4-42 °C (optimum, 25 °C), at pH 6.5-9.0 (optimum, pH 7.0), and with 0.0-11.0% (w/v) NaCl (optimum, 3.0-5.0%). By phylogenetic analysis of the 16S rRNA gene sequence, the novel marine isolate belongs to the genus Roseobacter, the related strains Roseobacter cerasinus AI77T and Roseobacter ponti MM-7T, and the pairwise sequence showed 98.5% similarity. The summary characteristics of the main fatty acids was summed feature 8 (C18:1ω7c and/or C18:1ω6c; 81.08%). The only respiratory quinoid is Q-10. The polar lipids consisted of phosphatidylglycerol, phosphatidylcholine, phosphatidylglycerol, an unknown lipid, and a small amount of an unknown phospholipid. Based on the draft genome sequence map, the strain H9T genome length was 5,351,685 bp, and the DNA G + C content was 59.8%. The average amino acid identity (AAI) of the genome of strain H9T and closely related strains, and the average nucleotide identity (ANI) and digital DNA hybridization (dDDH) values were 63.4-76.8%, 76.2-78.8%, and 13.4-19.7%, respectively. Thus, the combination of phenotypic, chemical taxonomic, and phylogenetic data suggests that strain H9T is considered a new species in the genus Roseobacter sp. The strain H9T (= KCTC 82507T = MCCC 1K04354T) was presented in November.
Spatial genomic, biochemical, and cellular mechanisms drive meningioma heterogeneity and evolution
Authors: Lucas Calixto-Hope , Mirchia Kanish , Seo Kyounghee , Najem Hinda , Chen William , Zakimi Naomi , Choudhury Abrar , Liu S. John , Phillips Joanna , Magill Stephen , Horbinski Craig , Solomon David , Perry Arie , Vasudevan Harish , Heimberger Amy , Raleigh David
Published: May 2023

Intratumor heterogeneity underlies cancer evolution and treatment resistance1–5, but targetable mechanisms driving intratumor heterogeneity are poorly understood. Meningiomas are the most common primary intracranial tumors and are resistant to all current medical therapies6,7. High-grade meningiomas cause significant neurological morbidity and mortality and are distinguished from low-grade meningiomas by increased intratumor heterogeneity arising from clonal evolution and divergence8. Here we integrate spatial transcriptomic and spatial protein profiling approaches across high-grade meningiomas to identify genomic, biochemical, and cellular mechanisms linking intratumor heterogeneity to the molecular, temporal, and spatial evolution of cancer. We show divergent intratumor gene and protein expression programs distinguish high-grade meningiomas that are otherwise grouped together by current clinical classification systems. Analyses of matched pairs of primary and recurrent meningiomas reveal spatial expansion of sub-clonal copy number variants underlies treatment resistance. Multiplexed sequential immunofluorescence (seqIF) and spatial deconvolution of meningioma single-cell RNA sequencing show decreased immune infiltration, decreased MAPK signaling, increased PI3K-AKT signaling, and increased cell proliferation drive meningioma recurrence. To translate these findings to clinical practice, we use epigenetic editing and lineage tracing approaches in meningioma organoid models to identify new molecular therapy combinations that target intratumor heterogeneity and block tumor growth. Our results establish a foundation for personalized medical therapy to treat patients with high-grade meningiomas and provide a framework for understanding therapeutic vulnerabilities driving intratumor heterogeneity and tumor evolution.
Gene expression imputation provides clinical and biological insights into treatment-resistant schizophrenia polygenic risk
Authors: Prohens  , Rodriguez Natalia , Segura Alex , Martinez-Pinteño Albert , Olivares-Berjaga David , Martínez Irene , González Aitor , Mezquida  , Gasso Patricia , Parellada Mara , Cuesta Manuel , Bernardo Miquel , Mas Sergi
Published: May 2023

Treatment-resistant schizophrenia (TRS) is a complex phenotype with important implications in the clinical course of a disease that is both underdiagnosed and poorly treated. The identification of predictors and biomarkers for the early detection and treatment of TRS is a critical step. Large genome-wide association studies (GWAS) have revealed the polygenic nature of TRS. Gene expression imputation allowed the translation of genetic variants into regulatory mechanisms that can be used to assess its association with clinical features of TRS in a cohort with a first episode of psychosis (FEP). We used S-PrediXcan to perform transcriptome imputation in the largest GWAS of TRS to find genetically regulated gene expression (GReX) associated with TRS using GTEx brain tissues. Then, for each tissue. we constructed a GReX risk score (GReX-PS) of the identified genes in a sample of genotyped FEP patients to test the association of the GReX-PS with clinical phenotypes, including clinical symptomatology, global functioning and cognitive performance. Our analysis provides evidence that the polygenic basis of TRS includes genetic variants that modulate the expression of certain genes in certain brain areas (substantia nigra, hippocampus, amygdala and frontal cortex), which at the same time are related to clinical features in FEP patients, mainly persistence of negative symptoms and cognitive alterations in sustained attention, which have also been suggested as clinical predictors of TRS. Our results provide a clinical explanation of the polygenic architecture of TRS and give more insight into the biological mechanisms underlying TRS.
WITHDRAWN: Clinical Evaluation of Caries Severity, Salivary and Plaque pH of Children with Molar Incisor Hypomineralization: A Cross-sectional Study
Authors: Sukesh Sonali , jain mansi , Sogi H.P. Suma , Gambhir Apurva , Kashalkar Bhairavi , Benson Tanya Liz
Published: May 2023

Introduction: Molar-incisor-hypomineralization has become a major thread of recent studies due to its role as a risk factor for dental caries but studies regarding the aetiology are limited. The knowledge of associated factors is desirable for the better understanding detecting and management of MIH in affected patients.
Aim: To determine the salivary and plaque pH in 8–15-year-old children with and without MIH and to correlate it with caries severity in children with MIH.
Materials and Method: 209 children aged 8-15 years were selected by stratified sampling. Hypo mineralised teeth and caries were assessed using EAPD criteria and ICDAS II criteria respectively. Salivary and plaque samples were collected and pH was determined.
Results: Statistically significant difference in salivary pH was observed between the groups A1, A2, B, C and A,B,C( P = 0.001*). On pair wise comparison, significant differences were observed in all pairs of groups except group B and group A. Statistically significant difference in plaque pH was seen between the groups A2, C (P= 0.001*).On pair wise comparison, significant differences were seen in all pairs of groups except group A1,B and A,B. The ICDAS II criteria scores were significantly higher in MIH group.
Conclusion: Statistically significant increase in caries severity and a fall in the mean salivary and plaque pH associated with Post-eruptive- breakdown in the MIH affected population was observed.
Practical implications: Hypo mineralized lesions disguised by caries demanding, thus it’s important to take other factors such as salivary properties into consideration for a better understanding of the defect
The Association of Radial Head Enlargement with Osteochondritis Dissecans of the Humeral Capitellum
Authors: Urita Atsushi , Tokuhiro Taiki , Kawamura Daisuke , Inoue Nozomu , Taneichi Hiroshi , Iwasaki Norimasa
Published: May 2023

Radial head enlargement is a secondary change when capitellar osteochondritis dissecans (OCD) lesions progress. This study was performed to clarify geometric differences between the radial head of the OCD side and the contralateral side in patients with capitellar OCD, and to investigate the correlation between radial head enlargement and elbow range of motion. Eighteen patients with capitellar OCD were underwent computed tomography (CT) images of bilateral elbow joints. Five patients underwent conservative treatment (Nonoperative group) and 13 patients underwent operative treatment (Operative group). Three-dimensional (3D) CT models of the proximal radius were created and exported into polygon and point-cloud models. The radial head geometry of the OCD side was compared with that of the mirror-imaged model of the contralateral side by using a 3D–3D registration technique. The surface-to-surface least distance was calculated. Mean least distance was 1.08 mm (SD 0.55 mm.) The radial head in the Operative group was significantly larger than that in the Nonoperative group (p= 0.02). Elbow flexion correlated negatively with radial head enlargement (P= 0.02 and r = 0.552). Our results clarified that the radial head enlargement increases with disease progression and correlated negatively with elbow flexion in capitellar OCD.
Inland waterway cargo vessel energy efficiency in operation
Authors:   University of Belgrade, Faculty of Mechanical Engineering, Department of Naval Architecture, Kalajdžić Milan , Vasilev Matija , Momčilović Nikola
Published: May 2023

Inland waterways vessels (IWV) have no mandatory regulations regarding their energy efficiency, as sea-going ships have. So far, there are just two proposed design energy efficiency evaluation methods, both based on IMO EEDI approach and data on EU inland navigation. Operational indicators and real-time navigation measurements from available literature do not exist. Therefore, this paper aims to introduce the energy efficiency in operation (EEO), assessed for the typical Danube cargo vessel. Firstly, an operational profile is acquired by tracking the vessel’s voyages, and by identifying actual constraints of each sector the vessel has sailed during the designated time. Secondly, EEO is incorporated within two available methods and calculated based on acquired operational data considering different navigational conditions. The paper shows how the energy efficiency vastly depends on variables such as water depth, current speed, draught, deadweight, river constraints. Analysis is performed for the most employed month of the vessel navigation, and annually. Depending on water level scenarios and during the selected month of sailing, the total amount of CO2 emitted is estimated to be between 22.7 t and 29.9 t, while the necessary average speed reduction (i.e., slow steaming) per sectoral voyage for the requirement compliance is calculated to be in between 4.8%-26%. Slow steaming is assessed to extend the time of voyage for 6.1-10.7 hours on monthly basis and 49-87 hours annually.
Hibrit eğitim modelinde eğitim ve öğretime devam fizyoterapi ve rehabilitasyon bölümü öğrencilerinde öğrenme sürecini etkileyen faktörlerin öğrenci bakış açısı ile değerlendirilmesi
Authors: BEZGİN Sabiha , UZUN AKKAYA Kamile , ELBASAN Bülent
Published: May 2023

Amaç: Bu çalışmanın amacı, sağlık eğitimi alanında giderek yaygınlaşan hibrit eğitim modeli ile eğitime devam eden fizyoterapi ve rehabilitasyon bölümü öğrencilerinin öğrenme sürecini etkileyen faktörleri kendi bakış açıları ile değerlendirmektir.

Yöntemler: Çalışmaya 18-25 yaş aralığında, Fizyoterapi ve Rehabilitasyon bölümünde, hibrit eğitim modeli ile eğitim öğretime devam eden ve çalışmaya katılmaya gönüllü olan öğrenciler dahil edildi. Öğrenme sürecini etkileyen faktörleri değerlendirmek amacıyla yazarlar tarafından hazırlanan 28 sorudan oluşan anket formu kullanıldı.

Bulgular: Çalışmaya 12 farklı üniversitede Fizyoterapi ve Rehabilitasyon eğitimine devam eden 388 (%80,66) kadın, 93 (%19,33) erkek olmak üzere toplam 481 öğrenci katıldı. Öğrencilerin 127’si (%26,4) 1. sınıf, 60’ı (%12,5) 2. sınıf, 132’si (%27,4) 3. sınıf ve 162’si (%33,7) 4. sınıfta eğitim öğretime devam ediyordu. Öğrencilerin, yüz yüze derslerde, online derslere göre hiç bilmedikleri konuları daha kolay ve kalıcı şekilde öğrendikleri, videolar ile yaptıkları sık ve bol tekrarların öğrenme üzerinde kalıcılık yarattığı belirlendi. Yüz yüze yapılan uygulamalı derslerde, öğretim elemanı tarafından zamanında sağlanan geribildirimlerin öğrenme üzerinde kolaylaştırıcı etki sağladığı görüldü. Arkadaşları ile birlikte oluşturdukları sosyal ortamların öğrenme sürecini desteklediği, derslere katılım zorunluluğu bulunmamasının öğrenme sürecinde kolaylaştırıcı etkiye sebep olduğu görüldü. Ders sırasında kullanılan görsel materyallerin yanı sıra, online dersler sırasında dersi anlatan öğretim elemanının kamerasının açık, sesinin net olmasının ve pozitif ifade ile dersi anlatmasının öğrencilerin konuyu öğrenmeleri üzerinde olumlu katkısı olduğu belirlendi.

Sonuç: Bu çalışmanın sonucunda, hibrit eğitim modelinin öğrencilerin öğrenme süreci üzerinde kolaylaştırıcı pek çok faktörü bünyesinde barındırdığı, sağlık bilimleri alanında kullanılmasının öğrenme sürecine olumlu katkılar sağladığı görülmektedir. Öğrencilerin bakış açılarına göre öğrenme sürecine olumlu yönde katkı veren yaklaşımların benimsenerek, mevcut uygulamalarda gerekli stratejilerin geliştirilerek, ilerleyen dönemlerde bu stratejilerin etkinliğini araştıran çalışmaların planlanmasının önemli olduğu düşünülmektedir.
Mechanism-based Suppression of Cancer by Targeting DNA-Replicating
Enzymes
Authors: Arya Preeti , Malhotra Hitesh , Chaudhary Benu , Sarwara Amrit , Goyal Rajat , Wan Chunpeng , Mishra Dinesh Kumar , Gautam Rupesh Kumar
Published: May 2023

The human genetic structure undergoes continuous wear and tear process due to the mere
presence of extrinsic as well as intrinsic factors. In normal physiological cells, DNA damage initiates
various checkpoints that may activate the repair system or induce apoptosis that helps maintain cellular
integrity. While in cancerous cells, due to alterations in signaling pathways and defective checkpoints,
there exists a marked deviation of error-free DNA repairing/synthesis. Currently, cancer therapy
targeting the DNA damage response shows significant therapeutic potential by tailoring the therapy
from non-specific to tumor-specific activity. Recently, numerous drugs that target the DNA replicating
enzymes have been approved or some are under clinical trial. Drugs like PARP and PARG inhibitors
showed sweeping effects against cancer cells. This review highlights the mechanistic study of
different drug categories that target DNA replication and thus depicts the futuristic approach of targeted
therapy.
Antiproliferative Activity and Mechanisms of Action of Plant-derived Flavonoids on Breast Cancer
Authors: Criollo-Mendoza Marilyn S. , Heredia J. Basilio , Vazquez-Olivo Gabriela , Avilés-Gaxiola Sara , Gutiérrez-Grijalva Erick P. , Garcia-Carrasco Melissa
Published: May 2023

Breast cancer is one of the main global diseases with a high mortality rate that mainly af-fects the female population. Despite the important advances that have been made concerning the treatments for this disease, research on less invasive therapies that generate fewer side effects for patients continues to develop. Consequently, researchers have turned their attention to using natural compounds (such as flavonoids) involved in molecular processes implicated in this type of cancer and are studying how these processes can be exploited to develop possible chemotherapies. This re-view offers a general description of studies on the antiproliferative activity of flavonoids obtained from natural sources for breast cancer treatment and their mechanism of action related to their struc-tural characteristics. Reports were retrieved from electronic databases, such as Web of Science and Scopus using the following keywords: breast cancer, antiproliferative, flavonoids, and structure-activity. Articles published between 2015-2022 related to the topics mentioned above were selected, focusing on the flavonoids apigenin, luteolin, quercetin, and naringenin, as they are the ones with the highest activity and relevance according to the literature found.
Human Mesenchymal Stem Cells Improve Angiogenesis and Bone Formation
in Severed Finger Rats through SIRT1/Nrf2 Signaling
Authors: Wu Hao , Sun Weixue , Cheng Gong , Zheng Mingdi , Zhao Yuchi , Cao Zhilin
Published: May 2023

Background:

This study employed a severed finger rat model to analyze the effects of human
mesenchymal stem cells (MSCs) on angiogenesis, inflammatory response, apoptosis, and oxidative stress,
to evaluate the possible mechanism of the repair effect of MSCs on severed finger (SF) rats.

Methods:

Sixty Sprague-Dawley (SD) rats were categorized into five groups (n = 12). The pathological
changes of severed finger tissues were investigated by Hematoxylin and eosin (H&E) staining on day 14
after the rats were sacrificed. The levels of inflammatory factors and oxidative stress factors were detected
by ELISA. Terminal Deoxynucleotidyl Transferase (TdT) dUTP Nick End Labeling (TUNEL) was
employed to assess the apoptosis of chondrocytes in severed finger tissues. The expression of osteocalcin
(OCN), osteopontin (OPN), Collagen I (Col-1), and CD31 were detected by immunohistochemistry or
immunofluorescence assay, respectively. The expression levels of related proteins were determined by
western blot.

Result:

Our study presented evidence that MSCs treatment improved pathological changes of skin and
bone tissue, diminished the inflammatory response, prevented oxidative stress injury, suppressed chondrocyte
apoptosis, and promoted angiogenesis, and bone formation compared to the model group. In addition,
EX527 treatment attenuated the effect of MSCs, SRT1720 and ML385 co-treatment also attenuated
the effect of MSCs. Importantly, the MSCs treatment increased the expression of Sirtuin
1(SIRT1)/Nuclear factor erythroid2-related factor 2(Nrf2) relate proteins.

Conclusion:

Our study indicated that the mechanism of the effect of MSCs on a severed finger was related
to the SIRT1/ Nrf2 signaling pathway.
Fundamental Uses of Peptides as a New Model in Both Treatment and Diagnosis
Authors: Okasha Hend
Published: May 2023

An amino acid short chain is known as a peptide. Peptide bonds are the connections that hold the amino acids of a peptide together in a particular order. Characteristically, the shorter length of peptides helps to identify them from proteins. Different ways are used to classify peptides, including chain length, source of peptides, or their biological functions. The fact that peptides serve several purposes suggests that there is a foundation for improvement in peptide production and structure to enhance action. In addition, many patents on peptides for therapeutic and diagnostic approaches have been obtained. This review aims to give an overview of peptides used recently in treatment and diagnosis.
A Critical Review of Phytochemical, Pharmacological and Ethnomedicinal
Properties of Eryngium foetidum L.
Authors: Dutta Ayon , Majunder Raja , Banerjee Sabyasachi , Chakraborty Utsab , Bose Sankhadip , Chakraborty Pranabesh
Published: May 2023

Eryngium foetidum L. is a biennial herb widely used in most tropical regions as a herb, and
in India, its use is essentially increasing as an aromatic spice and flavouring agent. The plant is widely
populated by Turkey, Southeast Asia, the Caribbean, Thailand, China, and others. This herb is becoming
more popular due to its traditional uses for various ailments. Reviews have been included in
peer-reviewed publications until 2020, published in English. 55 papers conveying E. foetidum-related
conformation were screened, with 30 articles proven relevant and requiring authentication knowledge
to build up this analysis paper. The information about 64 phytoconstituents is responsible for treating
diseases like analgesia and inflammation, hyperlipidaemia, tuberculosis, coagulation, tumours, malaria,
leishmaniasis, oxidation, etc. All specific knowledge must be gathered in one location, which
will also assist scientists in finding and emphasising the elements of the upcoming corner in order to
assess the importance of the plant being studied or to demonstrate its medicinal value.
Internet of Medical Things in Cloud Edge Computing
Authors: Sumathi G. , Rajesh S. , Ananthakumar R. , Kartheeban K.
Published: May 2023

Booming growth of ubiquitous connections and clinical computerization in
the 5th generation mobile communication era, the explosive increase and heterogeneity
of clinical information have delivered enormous demanding situations to information
processing, privacy and security, as well as data access in (IoMT) Internet of Medical
Things. Our paper gives a complete evaluation of the way to understand the analysis
and timely processing of big data in medical applications and the dropping of
healthcare resources in high quality under the limitations of previous medical
equipment and the medical environment. We mostly concentrate on the benefits carried
via the artificial intelligence, edge computing and cloud computing concepts to IoMT.
We also explain how to use clinical resources while keeping the privacy and security of
clinical information, so that extremely good clinical services can be given to patients.
Machine Learning in Detection of Disease: Solutions and Open Challenges
Authors: Rehman Tayyab , Tariq Noshina , Sajid Ahthasham , Hamza Akhlaq Muhammad
Published: May 2023

Disease diagnosis is the most important concern in the healthcare field.
Machine Learning (ML) classification approaches can greatly improve the medical
industry by allowing more accurate and timely disease diagnoses. Recognition and
machine learning promise to enhance the precision of diseases assessment and
treatment in biomedicine. They also help make sure that the decision-making process is
impartial. This paper looks at some machine learning classification methods that have
remained proposed to improve healthcare professionals in disease diagnosis. It
overviews machine learning and briefly defines the most used disease classification
techniques. This survey paper evaluates numerous machine learning algorithms used to
detect various diseases such as major, seasonal, and chronic diseases. In addition, it
studies state-of-the-art on employing machine learning classification techniques. The
primary goal is to examine various machine-learning processes implemented around
the development of disease diagnosis and predictions.