bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antiviral effects of Lactic Acid Bacteria; a systematic review
Authors: Farahmnandi Fargol , Parhizgar Parynaz , Tape Parya Mozafari Komesh , Bizhannia Fahimeh , rohani Fateme sadat , Bizhanzadeh Marzieh , Alhosseini Zeinab Sadat Mostafavi , hosseinzade Maede , Farsi Yeganeh , Nasiri Mohammad Javad 
Published: February 2023

Abstract
Background
Lactic acid bacteria (LAB) are one of the most important strains of probiotics. Some of them are normal flora of human mucous membranes in the gastrointestinal system, skin, urinary tract, and genitalia. There is evidence suggesting that LAB has an antiviral effect on viral infections. However, these studies are still controversial and a systematic review was conducted to evaluate the antiviral effects of LAB on viral infections.
Methods
The systematic search was conducted until the end of December 17, 2022, in international databases such as Scopus, Web of Science, and Medline (via PubMed). The keywords of our search were Lactic acid bacteria, Lactobacillales, Lactobacillus (as well as its species), Probiotics, Antiviral, Inhibitory effect, and Virus.
Results
Of 15.408 potentially relevant articles obtained at the end of our search, 45 eligible in-vivo human studies were selected for inclusion in the study from databases and registers and citation searching. We conducted a systematic review of the antiviral effects of the LAB based on the included articles. The most commonly investigated labs are Lactobacillus Rhamnosus GG and Lactobacillus Casei.
Conclusion
Our study indicates that most of our included articles support the positive effect of LAB on viral infections although some studies showed no significant positive effect of LABs on some viral infections.
Food Addiction and Binge Eating Disorder are Linked to Shared and Unique Deficits in Emotion Regulation among Female Seeking Bariatric Surgery
Authors: Ahmadkaraji Shahrzad , Farahani Hojjatollah , Orfi Koosha , lavasani Fahimeh Fathali 
Published: February 2023

Abstract
Background: Dysfunctional eating patterns can indicate obesity psychopathologies. With food addiction (FA) becoming a clinically important problem, it's necessary to compare it to, especially Binge eating disorder (BED) in the obesity spectrum. The current study aimed to identify overlapping and distinctive features in emotion dysregulation as an underlying mechanism and emotional eating as a clinical feature among four groups of female with obesity seeking bariatric surgery: those with FA only (n = 35), BED only (n = 35), FA+BED (n = 31), and a control group with obesity only (n = 27).
Methods: Data on emotion dysregulation and emotional eating were derived from the total 128 Females seeking bariatric surgery (mean age: 38.91 ± 10.59, mean BMI: 42.10 kg/m2 ± 4.43), using well-established measures. Univariate analyses of variance were used to compare these groups to one another (ANOVA).
Results: Regarding descriptive statistics, the comorbid group with FA and BED showed higher scores on all measures, while the obesity only group acquired the lowest scores. Several ANOVA with Bonferroni test revealed that there were few differences among obesity with FA and obesity with BED. However, obesity only group was significantly better in terms of emotion dysregulation and emotional eating.
Conclusions: Current research reveals that BED and FA are connected to both common and unique impairments in emotion regulation among bariatric surgery candidates. These findings may be helpful to provide more tailored treatment and enhance their outcomes after bariatric surgery. To differentiate between FA and BED in longer-term studies, however, more research is necessary.
Therapeutic characteristics of patients with gestational diabetes mellitus receiving insulin treatment during pregnancy: a retrospective study
Authors: Yang Jiaying , Lai Mengyu , Wang Nian , Ma Yuhang , Gong Yujia , Kang Mei , Fang Fang , Wang Yufan , Peng Yongde 
Published: February 2023

Abstract
Aims: To explore the therapeutic characteristics of gestational diabetes mellitus (GDM) patients receiving insulin therapy during pregnancy.
Methods: In this retrospective study, 790 GDM patients from Shanghai General Hospital were enrolled. Information consisting of demographic and laboratory data, the insulin treatment protocol, and daily insulin dosage before delivery were collected.
Results: A total of 236 (29.87%) GDM patients received insulin treatment. Fasting plasma glucose (FPG), 1-hour plasma glucose (1hPG), HbA1c, and gestational week at diagnosis were associated with insulin treatment. The average daily insulin dosages were 0.15, 0.27, 0.29, and 0.50 U/kg, from once daily to four daily injections, while insulin pump users received 0.62 U/kg (Pfor trend<0.001). FPG, 1hPG, and HbA1c at diagnosis showed significant value for predicting the need for four daily insulin injectionsbefore delivery in ROC analysis (all P<0.001), and the cut-off values were 5.6 mmol/L, 10.4 mmol/L, and 5.7%. The AUC for the model considering FPG, 1hPG, and HbA1c together was larger than that of any single variable (all P<0.05).
Conclusion: The average daily insulin dosage before delivery increased with the frequency of insulin injections. Patients with FPG ³5.6 mmol/L, 1hPG ³10.4 mmol/L, and HbA1c ³5.7% at diagnosis required intensive insulin therapy before delivery.
Postoperative peritumoral edema can predict the prognosis in intracranial meningioma with preoperative peritumoral edema
Authors: Ying Yu-Zhe , Li Hao-Yi , Dong Ge-Hong , Zhang Guo-Bin , Liu Xiang-Ming , Lin Song , Ren Xiao-Hui , Jiang Zhong-Li 
Published: February 2023

Abstract
Purpose

Peritumoral edema (PTE) in intracranial meningiomas correlates to surgical outcomes. But only depending on preoperative PTE in meningioma does not accurately predict the prognosis after resection. We aimed to investigate whether postoperative PTE could improve the prognosis prediction of meningioma patients with preoperative PTE.

Methods

We retrospectively reviewed postoperative MRI scans in 3 months after operation of 371 patients with preoperative PTE of meningioma that underwent surgery between 2015 and 2017. All the patients were classified into two different groups according to whether had postoperative PTE fadeaway within 3 months after operation. Clinical manifestations, histopathology characteristics, radiology data and follow-up outcomes were noted. T-tests and chi-square tests were used to compare clinical characteristics. Univariate and multivariate Cox analysis and Kaplan‒Meier method were utilized to screen for clinical prognostic factors.

Result

Kaplan-Meier model showed that the progression-free survival of patients with postoperative PTE are shorter than who with postoperative PTE fadeaway in 3 months after operation (HR = 3.30 ,P = 0.006). Multivariate Cox analyses showed that the predictors for recurrence of meningioma with preoperative: high WHO grades (HR = 4.989, P＜0.001), superior sagittal sinus invasion (HR = 2.290, P = 0.047), postoperative PTE in 3 months after operation (HR = 1.804, P = 0.044) and subtotal resection (HR = 3.940, P = 0.003).

Conclusion

According to our research, we found that postoperative PTE in 3 months after operation can predict the outcomes of patients of meningioma with preoperative PTE. Besides, we demonstrated that there were also some predictors for recurrence: male, high WHO grades, superior sagittal sinus invasion and subtotal resection.
Performance Assessment of the Cameroon Expanded Program of Immunization: A Mixed Method Study
Authors: Amani Adidja , Saidu Yauba , Cheuyem Fabrice Zobel Lekeumo , Asaah Collins Tatang , Njoh Andreas Ateke , Kabir Haamit Abba - , Eyebe Serge , Mossus Tatiana , Selenguai Hélène Kamo , Ngoué Jeannette Epée , Zogo Pierre Ongolo - 
Published: February 2023

Abstract
Objective
This study aimed at evaluating the performance of the EPI so as to determine whether the program is set to achieve the vaccine specific targets of some SDGs by 2030.
Methods
We carried out a mixed method study associating a cross-sectional web-based qualitative analysis during March 2021 and a quantitative analysis of EPI performance from 2006 to 2019 in Cameroon.
Findings:
The observed weaknesses included the failure to meet the targeted vaccination coverage of all antigens, the proportion of health districts with coverage greater than 80% remained low, the existence of districts with less than 50% vaccination coverage, and insufficient quality of vaccination data. The Country lagged in geographical equity, program management, and financing. In addition, situations that emerged during the past decade, such as the covid-19, conflicts, political instability, and widespread misinformation, negatively impact the output of vaccination services.
Conclusion
Cameroon needs to amplify efforts to fill gaps and weaknesses so as not to be left behind to attain the targets for this current decade embedded in sustainable development goals.
Framework for Health Data Security within Smart Healthcare
Authors: Tahir Rida 
Published: February 2023

Abstract
E-health solutions can be used to monitor patients at any time and from any location. Patient's health and recovery status are constantly monitored using mobile communication. In these kinds of systems, the privacy, authenticity, and validity of patients' health records must be protected. To protect e-health systems in a digital network context, effective access control and transmission are necessary. Because of the resource-constrained design of the digital network environments, traditional access control techniques are unable to safely route e-health services. This work proposes an innovative and upgraded authentication scheme that attempts to address the obstacles associated with the confidentiality and protection of patients' sensitive data through robust encryption management. A well-organized and lightweight access control mechanism is also a goal of the suggested model.
Medium-term effects of clay-based mineral biochar on plant performance and soil properties
Authors: Darini Abbass , Jafary Mohammad , Tavili Ali , Arzani Hossein , Javadi Seyed Akbar 
Published: February 2023

Abstract
There is no detailed information about the effect of mineral biochar (MB) on soil properties and plant performance. Here, MB levels of 0, 5, … and 25% in three application methods; including mixed with the topsoil (MTS), subsoil (MSS), whole soil (MWS) were used through cultivating the Fortuynia bungei (bush), Calligonum comosum (shrub) and Ziziphus spina-christi (tree) in holes based on a completely randomized factorial design for two consecutive years in an arid region. Based on the results, even using 5% MB, a relative improvement in soil and plant properties was observed, but there was no significant difference between 20 and 25% MB application. Plant performance was significantly influenced by specie type, MB levels and application method. Using 20% MB under MWS, shrub C. comosum had the highest height and biomass production. OM, EC and pH showed the most changes, which were mostly influenced by the level of MB used (Sig.<0.001). Also, soil respiration, urease, b-glucosidase, dehydrogenase, and acid phosphatase showed an increase of 34.4, 79.1, 100.0, 65.3 and 22.5%, respectively, in comparison to its control (MB = 0). The Pearson-Kendall correlation through PCA also showed significant ecological relationships between soil-plant characteristics improvements by 15–20%MB application.
Rethinking position embedding methods in the Transformer architecture
Authors: Zhou Xin , Ren Zhaohui , Yu Tianzhuang 
Published: February 2023

Abstract
In the transformer architecture, as self-attention reads entire image patches at once, the context of the sequence between patches is omitted. Therefore, the position embedding method is employed to assist the self-attention layers in computing the ordering information of tokens. Although most works directly add the position vector into the corresponding token vector instead of concatenating, fewer papers give a detailed explanation except for dimensional reduction. Actually, the addition method makes no sense because token vectors and position vectors are different physical quantities and can not be simply added together. Thus, we investigate the discrepancy of learned position information in both embedding methods(concatenation and addition) and compare their performance for models. Experiments demonstrate that the concatenation method can learn more spatial information(horizontal, vertical, and angle) than the addition method and learn smoother position information in the multi-scale model. Also, an appropriate concatenating strategy can easily bring 0.1% to 0.4% performance gain for soft-of-the-art models without extra computation overhead.
Design, Synthesis, Spectral analysis, Drug likeness prediction, and molecular docking investigations of new naphtho[2,1-b]furan encompassing pyrimidines as potential antimicrobial agents
Authors: L Roopa D. , Mathada Basavarajaiah Suliphuldevara , B Punarva H. 
Published: February 2023

Abstract

In view of the extremely important biological and medicinal properties of napthofurans, the synthesis of these heterocycles has fascinated the interest of medicinal and organic chemists. Keeping this in mind, we herein reporting synthesis, and antimicrobial evaluation of 4-N-aryl -naphtho[2,1-b]furo[3,2-d] pyrimidines 5 (a-l). Structures of these synthesized compounds were confirmed by spectral analysis like IR, NMR and Mass spectrometry. The In vitro antimicrobial activities were reported for the all compounds 5 (a-l). The compounds 5e and 5f exhibited excellent antibacterial, antifungal and antidermatophytic activities against tested pathogens at MIC 3.125, and 3.125g/ml respectively. Furthermore, molecular docking studies of these compounds against Staphylococcus aureus tyrosyl-tRNA synthetase (PDB ID: 1JIJ), S. Aureus Gyrase (PDB ID: 2XCT) and SARS-CoV-2 Omicron (PDB ID: 7TOB), revealed the potential binding mode of the ligands to the site of the appropriate targets. Finally, drug likeness and structures activity relationship studies also disclosed.
dSTK10 maintains tissue homeostasis by preventing JNK-mediated apoptosis
Authors: Li Chenglin , Sun Xinyue , Zhu Xiaojie , Guo Xiaowei , Li Wenzhe , Chen Ping , Shidlovskii Yulii V. , Zhou Qian , Xue Lei 
Published: February 2023

Abstract
Background
The c-Jun N-terminal kinase (JNK) pathway is an evolutionarily conserved regulator of cell death, which is essential for coordinating tissue homeostasis. In this study, we have characterized the Drosophila Ste20-like kinase dSTK10 as a novel modulator of JNK pathway-mediated apoptotic cell death.
Results
First, ectopic JNK signaling-triggered cell death is enhanced in heterozygous dSTK10 mutants, and suppressed by dSTK10 overexpression. Second, depletion of dSTK10 activates JNK signaling, which results in enhanced apoptosis and impaired tissue homeostasis. In addition, genetic epistasis analysis suggests that dSTK10 acts upstream of or in parallel to Hep to regulate JNK-mediated apoptotic cell death. Moreover, dSTK10 is necessary and sufficient for preventing physiologic JNK signaling-mediated cell death in development. Furthermore, introduction of STK10, the human ortholog of dSTK10, into Drosophila restores dSTK10 depletion-induced cell death and compromised tissue homeostasis. Lastly, knockdown of STK10 in human cancer cells also leads to JNK activation.
Conclusions
Thus, this study has uncovered an evolutionarily conserved role of dSTK10/STK10 in blocking JNK signaling, which is required for cell death inhibition and tissue homeostasis maintenance in Drosophila development.
Co-expression module analysis reveals expression homogeneity of module members for coding and non-coding genes in sepsis
Authors: Liu Xiaojun , Hong Chengying , Jiang Yichun , Chen Youlian , Ma Yonghui , Chen Huaisheng , Liu Xueyan , Cheng Lixin 
Published: February 2023

Abstract
Sepsis is a condition that results from a harmful or damaging host response to infection with organ dysfunction. Every year about 20 million people are dead owing to sepsis and its mortality rates is as high as 20%. However, no studies have been carried out to investigate sepsis from the system biology point of view, since previous studies mainly focused on individual genes in sepsis, ignoring the interactions and associations among the genes and transcripts. Here, we explored the expression alteration of both mRNAs and long non-coding RNAs (lncRNAs) in sepsis on a genome-wide scale, on the basis of six microarray datasets. Co-expression networks were conducted to identify mRNA and lncRNA modules, respectively. Comparing with the normal modules, we observed that the mRNA/lncRNA members in sepsis module tend to express in a homogeneous way, a majority of them are expressed in the same direction. Furthermore, consistent modules among diverse datasets were determined with 20 common mRNA members and two lncRNAs, CHRM3-AS2 and PRKCQ-AS1, which are expected to be candidate regulators of sepsis. Our results reveal that the up-regulated common mRNAs are mainly involved in the processes of neutrophil mediated immunity, while the down-regulated mRNAs and lncRNAs are significantly overrepresented in T-cell mediated immunity functions. This study concentrated on co-expression pattern of mRNAs and lncRNAs in sepsis to provide a novel perspective and insight into sepsis transcriptome, which may facilitate the exploration of candidate therapeutic targets and molecular biomarkers for sepsis.
Study of the thermal cavitation problem in a composite viscoelastic sphere
Authors: Chen YaJuan , Shang XinChun 
Published: February 2023

Abstract
Cavity bifurcation is an important mechanism of damage and fracture failure of various materials. The thermal cavitation problem of a composite sphere composed of two kinds of viscoelastic materials and subjected to a uniform temperature field was studied in this paper. Based on the finite deformation dynamics theory, the nonlinear mathematical model of describing cavity movement in a composite sphere was established by employing the Kelvin-Voigt differential type constitutive equation of thermo-visco-elasticity. Adopting the dimensionless transformation, a parametric cavitated bifurcation solution describing the cavity radius with the temperature was obtained. And the dynamical variation curves of the cavity radius increasing with the external temperature, the radius ratios, and the material parameters were also discussed. It was proved that the dynamical growth of an infinitely large sphere including a small sphere could also be achieved by a finitely composite sphere.
Explaining Deep Multi-Class Time Series Classifiers
Authors: Doddaiah Ramesh , Parvatharaju Prathyush , Rundensteiner Elke , Hartvigsen Thomas 
Published: February 2023

Abstract
Explainability helps users trust deep learning solutions for time series classification. However, existing explainability methods for multi-class time series classifiers focus on one class at a time, ignoring relationships between the classes. Instead, when a classifier is choosing between many classes, an effective explanation must show what sets the chosen class apart from the rest. We now formalize this notion, studying the open problem of class-specific explainability for deep time series classifiers, a challenging and impactful problem setting. We design a novel explainability method, DEMUX, which learns saliency maps for explaining deep multi-class time series classifiers by adaptively ensuring that its explanation spotlights the regions in an input time series that a model uses specifically to its predicted class. DEMUX adopts a gradient-based approach composed of three interdependent modules that combine to generate consistent, class-specific saliency maps that remain faithful to the classifier's behavior yet are easily understood by end users. We demonstrate that DEMUX outperforms nine state-of-the-art alternatives on seven popular datasets when explaining two types of deep time series classifiers. We analyze run time performance, show the impacts of hyperparameter selection, and introduce a detailed study of perturbation methods for time series. Further, through a case study, we demonstrate that DEMUX's explanations indeed highlight what separates the predicted class from the others in the eyes of the classifier.
Longitudinally and laterally trench-supported subsurface dam innovative design procedures
Authors: Şen Zekâi 
Published: February 2023

Abstract
According to the Paris climate change agreement, temperature increases of around 1.5 or 2.0 °C by 2050 are bound to increase the amounts of evaporation and evapotranspiration, which are among the losses from surface water bodies, such as rivers, lakes, reservoirs and dams. In order to reduce these losses and support local water supply, subsurface dam construction projects are at the forefront in many countries, especially in arid and semi-arid regions, even in subtropical climate regions. In the literature, there are classical methodological explanations for underground dams with quite insufficient and restrictive interpretations. In this paper, two very similar but different new alternatives are proposed as longitudinally and laterally supported underground dams with inspirations from historical qanat groundwater subsurface structures. Both types are supported by artificial trenches with higher hydraulic conductivity than the surrounding Quaternary alluvial deposits to increase external and meanwhile to support internal areal recharge possibilities between the trenches and the surrounding natural porous, weathered and fractured layers. It is noticed that trench-supported subsurface dams are more effective, affordable, sustainable and manageable than classical alternatives available in the literature. It is recommended that a more refined subsurface groundwater movement mathematical formulation should be developed in the future.