bluuebunny/crossref_metadata_2025_split huggingface dataset:
PRIDA, a protoplast-based assay for efficient identification of oxidative- and heat-stress regulatory genes
Authors: Lei Shanshan , Zeng Lingshuang , Jia Weiyu , Zhang Jing , Chi Yingjun , Xu Bin 
Published: July 2023

Abstract
Background: Rapidly identifying candidate genes potentially involved in stress tolerance is crucial for functional genetic studies in non-model plant species. Agrobacterium-based transient assays can be conducted in many plants using fleshy tissues such as leaf/fruit/petal. However, such assays are not feasible in perennial ryegrass (Lolium perenne L.) and most other grass species since these plants have no fleshy tissue to be readily infected.
Results: In this study, we developed a Protoplast-based Rapid stress regulatory gene Identification Assay (briefed as ‘PRIDA’) to rapidly identify genes in the regulation of plant heat and oxidative tolerance in perennial ryegrass. Using ryegrass mesophyll protoplasts, vectors harboring target genes or their RNAi hairpin structures driven under the maize ubiquitin promoter were transformed into protoplasts to transiently over-express or suppress the target genes. The transformed protoplasts were then subjected to optimized heat (35 to 37 ℃) or oxidative (50 to 75 mM H2O2) stress, and their viabilities were immediately recorded under a microscope after 0.1% Evans blue dye staining. The validity and reliability of PRIDA were verified by transiently knocking-down LpNOL/LpSGR and over-expressing LpTT3.1/LpTT3.2 that led to significantly compromised or enhanced protoplast viability after heat or H2O2-induced oxidative stresses. Finally, using ‘PRIDA’, we identified three heat-induced differentially expressed E3 ligase genes as potential regulators in plant heat and/or oxidative stress tolerance.
Conclusion: This protoplast-based ‘PRIDA’ can be used as a versatile assay to rapidly identify and characterize candidate regulatory genes in heat and oxidative stress that will accelerate molecular genetic studies in perennial ryegrass. This assay can be adapted to other non-model plant species after adjusting abiotic stress parameters for further research and the development of improved cultivars.
An enhanced, Robust, adaptive Kalman filter for continuous urban navigation with low-cost sensors
Authors: Vana Sudha , Bisnath Sunil 
Published: July 2023

Abstract
Low-cost sensor navigation has been on the rise in the past decade with the onset of many modern applications that demand decimetre-level accuracy using mass market sensors. The key advantage of Precise Pointing Positioning (PPP) technique over Real-Time Kinematic (RTK) is the non-requirement of local infrastructure and still being able to attain decimetre to sub-metre level accuracy while using mass market low-cost sensors. Achieving dm to submetre-level accuracy is a challenge in urban environments. Therefore, adaptive filtering needs to be implemented along with low-cost sensors motion based constraining and atmosphere constraints. The traditional robust adaptive Kalman filter (RAKF) uses empirical limits that are derived by analyzing the GNSS receiver data beforehand to determine when the adaptive factor needs to be applied. In this research, a novel technique is proposed to determine the adaptive factor computation based on the detection of increase in the number of satellite signals after a partial outage, independent of using the traditional empirical values. The proposed method provides 38-55% better accuracy than the traditional RAKF and proves to be a significant improvement for the next generation applications, such as low-autonomous, virtual reality and others.
A new multilevel image thresholding algorithm based on image partitioning approach with metaheuristic parameter for segmentation
Authors: Thapliyal Shivankur , Kumar Narender 
Published: July 2023

Abstract
The multilevel threshold technique of image segmentation is a popular and intriguing domain in the field of image vision and has received a lot of attention in several image processing applications due to its use in numerous image applications for assisting with a variety of problems. The key issue in this domain is figuring out the optimal number of thresholds and their values due to the limitations of conventional algorithms, such as fixed threshold values, a lack of adaptability, manual parameter setting, and a lack of contextual information. In order to deal with this problem, a new multilevel thresholding (MLT) algorithm (IP-MH-MLT) has been proposed in this paper. It is based on the image partitioning (IP) approach and has a few parameters that are computed using any metaheuristic (MH) technique, and the remaining parameters are evaluated through image characteristics. In this paper, for the metaheuristic parameter, a swarm-based metaheuristic called Grey Wolf Optimizer (GWO) is taken into consideration due to its numerous features, such as simplicity and ease of implementation, efficient convergence speed, and limited computational complexity. The performance of the proposed algorithm has been validated on a set of fifteen benchmark images using various thresholds and compared quantitatively in terms of a number of performance metrics, including structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR), with eight different metaheuristic algorithms. In order to examine the proposed algorithm qualitatively, Friedman ranking tests are carried out on the proposed algorithm over other comparable algorithms. The results demonstrate the effectiveness and competitive performance of the proposed algorithm.
The clinical and radiographic resuls of oblique lateral internal fusion combined with percutaneous pedicle screw fixation in the treatment of severe lumbar spinal stenosis
Authors: Liu Chen , Gen Ying , Li Yifeng 
Published: July 2023

Abstract
Backgrounds Oblique lumbar interbody fusion (OLIF) has been a popular technique for the treatment of lumbar degenerative diseases. Previous studies have shown its efficiency in lumbar spinal stenosis. But few studies have reported its application of severe lumbar spinal stenosis. The purpose the of study is to investigate the clinical and radiographic outcome of OLIF with percutaneous pedicle screws in the treatment of severe lumbar spinal stenosis. Methods Fifteen patients who underwent OLIF with percutaneous pedicle screws were retrospectively analyzed. All patients were diagnosed as severe lumbar stenosis (Schizas grade C or D) through preoperative magnetic resonance image and recieved OLIF combined with percutaneous pedicle screws surgery. Clinical outcomes including visual analogue scale (VAS)-back and and VAS-leg scores and Oswestry disability index (ODI) were evaluated before surgery and at last follow-up. Mean disc height (DH), mean foraminal height (FH), segmental lumbar lordosis (SLL) and cross-sectional area (CSA) of spinal canal were compared before and after surgery and at the last follow-up. Intraoperative data, complications and fusion rate were also investigated. Results OLIF combined with percutaneous pedicle screws was performed in 18 segments in 15 patients. Mean follow-up was 23.1 ± 4.6 months (range, 12–34 months). VAS-back, VAS-leg, and ODI scores were significantly better at last follow-up. DH increased from 8.86 ± 3.06 mm before surgery to 13.31 ± 2.14 mm after; at last follow-up, DH was 11.69 ± 1.87 mm. FH increased from 17.85 ± 2.26 mm before surgery to 22.09 ± 1.36 mm after; at last follow-up, FH was 20.41 ± 0.99 mm. CSA of spinal canal increased from 30.83 ± 21.15 mm2 before surgery to 74.99 ± 33.65 mm2 after operation and 81.22 ± 35.53 mm2 at last follow-up. The segmental LL before surgery, after surgery and at last follow-up were 20.27 ± 6.25 degrees, 20.83 ± 6.52 degrees and 19.75 ± 5.87 degrees, respectively. All patients have gained fusion at last follow-up. Conclusions OLIF with percutaneous pedicle screws could achieve satisfactory clinical and radiographic effect through indirect compression by increasing DH, FH and CSA of spinal canal, and it could be regarded as an appropriate approach for severe lumbar stenosis patients.
Reaction hijacking inhibition of Plasmodium falciparum asparagine tRNA synthetase
Authors: Tilley Leann , Xie Stanley , Wang Yinuo , Morton Craig , Metcalfe Riley , Dogovski Con , Pasaje Charisse Flerida , Dunn Elyse , Luth Madeline , Kumpornsin Krittikorn , Istvan Eva , Park Joon , Fairhurst Katie , Yeo Tomas , Yildirim Okan , Bhebhe Mathamsanqa , Klug Dana , Rutledge Peter , Godoy Luiz , Dey Sumanta , De Souza Mariana , Siqueira-Neto Jair , Ketprasit Nutpakal , Du Yawei , Amini Mona , Shami Gerald , Nie Shuai , Williamson Nicholas , Jana Gouranga , Maity Bikash , Thomson Patrick , Foley Thomas , Loesbanluechai Duangkamon , Puhalovich Tanya , Tan Derek , Niles Jacquin , Han Byung Woo , Goldberg Daniel , Burrows Jeremy , Fidock David , Lee Marcus , Winzeler Elizabeth , Griffin Michael , Todd Matthew 
Published: July 2023

Abstract
Malaria poses an enormous threat to human health. With ever increasing resistance to currently deployed drugs, breakthrough compounds with novel mechanisms of action are urgently needed. Here, we explore pyrimidine-based sulfonamides as a new low molecular weight inhibitor class with drug-like physical parameters and a synthetically accessible scaffold. We show that the exemplar, OSM-S-106, has potent activity against parasite cultures, low mammalian cell toxicity and low propensity for resistance development. In vitro evolution of resistance using a slow ramp-up approach pointed to the Plasmodium falciparum cytoplasmic asparaginyl tRNA synthetase (PfAsnRS) as the target, consistent with our finding that OSM-S-106 inhibits protein translation and activates the amino acid starvation response. Targeted mass spectrometry confirms that OSM-S-106 is a pro-inhibitor and that inhibition of PfAsnRS occurs via enzyme-mediated production of an Asn-OSM-S-106 adduct. Human AsnRS is much less susceptible to this reaction hijacking mechanism. X-ray crystallographic studies of human AsnRS in complex with inhibitor adducts and docking of pro-inhibitors into a model of Asn-tRNA-bound PfAsnRS provide insights into the structure activity relationship and the selectivity mechanism.
TiRobot-assisted channel screw fixation for elderly patients with fragility fractures of the pelvis: A retrospective study
Authors: Xing Baorui , Zhang Yadi , Hou Xiuxiu , Qi Xiangbei 
Published: July 2023

Abstract
Objective
The incidence of fragility fracture of the pelvis (FFP) in the elderly population is increasing, and FFP that require fixation are a challenge for orthopedic surgeons. The aim of the study was to investigate the clinical efficacy of TiRobot-assisted channel screws fixation in the treatment of elderly FFP patients.
Method
Between May 2020 and September 2022, 46 elderly FFP patients were separately treated using channel screws fixation assisted by the TiRobot (TiRobot-assisted group) and conventional freehand surgery (freehand group). Postoperative outcomes between groups, including excellent and good fracture reduction based on Matta criteria and screw implantation accuracy based on Gras criteria, were compared. Changes in the Visual Analog Scale (VAS) pain score and the Majeed score (reflecting functional recovery) were recorded and compared between groups before and after surgery and during the 24-week of follow-up.
Results
A total of 90 screws were placed in all patients. Fifty-one screws were implanted in the TiRobot-assisted group (24 patients) and 39 screws (22 patients) in the freehand group. There were no screw-related complications or revision surgery in any group. The Matta value of TiRobot-assisted group was 5.13 ± 3.52, which was significantly lower than that of freehand group (9.00 ± 3.68); the excellent and good rate of the former (91.67%) was significantly higher than that of the latter (72.73%), and the differences were statistically significant (p = 0.0007; p < 0.001). In terms of screw placement, the accuracy rate was 100% in the TiRobot-assisted group, better than that in the freehand group where it was only 85.7% (p < 0.001). At each time point in the early postoperative period, the VAS score of the TiRobot-assisted group was significantly lower than that of the freehand group (all p < 0.05), and was close to consistent by the last follow-up. While the Majeed score of the former was significantly higher than that of the latter at each time point of follow-up; the difference between the two groups was statistically significant (all p < 0.0001).
Conclusion
TiRobot-assisted channel screw fixation of elderly FFP patients is advantageous over conventional freehand surgery, with less invasion, more precise positioning, more accurate screw placement, better fracture reduction, early pain relief and rapid recovery, suggesting that it is a better method to stabilize FFP in the elderly population.
Ethnobotanical and biochemical features of Sesbania sesban L. Merr., a nitrogen-fixing plant native to the Republic of Chad
Authors: Mahamat Ousman Brahim , Younes Saoud , Otchom Boy Brahim , Franzel Steve , Hidjazi Al-Djazouli Ouchar Mahamat , Soumaya El Ismaili 
Published: July 2023

Abstract
This study reports on a literature review of the leguminous tree Sesbania sesban (L.) Merr, which is found in the N'Djamena region, the Republic of Chad. The study focused on S. sesban’s phytochemical features and its use as a medicine and fodder to assist in future evaluations. A literature review using international academic websites, such as Science Direct, Springer, Nature, plant databases, and data from national herbaria was done. S. sesban is a perennial shrub or tree that measures 3–4 meters in height. This species is becoming rare in Ndjamena but can be found in some gardens of some institutions in Ndjamena such as the Higher Institute of Educational Sciences (ISSED). The local inhabitants in Chad use the species as medicine, livestock feed, fuel-wood, and for improving soil fertility and repelling desert encroachment. Traditional healers use its leaves to treat breast cancer and edema. S. sesban is an essential species native to the Republic of Chad that needs conservation and valorization. Viewing its rarity in N’Djamena today, a strategy of replanting the species in gardens, homes, and fields around Ndjamena and other regions of Chad is recommended.
The Patterns of Influence: LIWC Analysis of Leading News Portals' Impact and Communication Accommodation Theory on Twitter
Authors: Bojić Ljubiša 
Published: July 2023

A quantitative analysis was conducted on the tweets of 20 leading Serbian mass media outlets and their followers during the three months from January 1 to March 30, 2021. The analysis, that encompassed more than 1 million tweets, was conducted using (a) Twitter API, (b) the Serbian version of LIWC linguistic dictionary, and (c) additional statistical analyses. Analyses revealed that words related to affective processes (negative emotions), social processes (family and friends), perceptual processes (feel and hear), and personal concerns (work and religion) expressed in tweets of mass media were predictors of the same words in not necessarily related tweets of their followers. The research has shown that spread of psychological and linguistic patterns by media and social networking sites is not limited to negative emotions solely. This research highlights the significance of recommender systems, as they help to determine the content that social media users encounter on a personal level. The findings also indicate how we can address emerging and pressing issues that affect individuals' well-being and democratic capacity, such as echo chambers and polarization. The obtained findings are in line with the communication accommodation theory, emotional contagion theory and negativity bias. Limitations of the present research, future directions, and implications are discussed.
Machine learning approach for the estimation of missing precipitation data: a case study of South Korea
Authors: Han Heechan , Kim Boran , Kim Kyunghun , Kim Donghyun , Kim Hung Soo 
Published: July 2023

Abstract

Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an obstacle to improving the accuracy and efficiency of hydrological analysis. To address this issue, we developed a machine learning algorithm-based precipitation data recovery tool to detect and predict missing precipitation data at observatories. This study investigated 30 weather stations in South Korea, evaluating the applicability of machine learning algorithms (artificial neural network and random forest) for precipitation data recovery using environmental variables, such as air pressure, temperature, humidity, and wind speed. The proposed model showed a high performance in detecting the missing precipitation occurrence with an accuracy of 80%. In addition, the prediction results from the models showed predictive ability with a correlation coefficient ranging from 0.5 to 0.7 and R2 values of 0.53. Although both algorithms performed similarly in estimating precipitation, ANN performed slightly better. Based on the results of this study, we expect that the machine learning algorithms can contribute to improving hydrological modeling performance by recovering missing precipitation data at observation stations.
Bacterial Pathogens: Potential Source For Antimicrobial Peptides
Authors: AlMatar Manaf , Albarri Osman , lakhal Raja , Ocal Melda Meral , Var Işıl , Köksal Fatih 
Published: July 2023

Abstract:
As more antibiotics become ineffective due to drug-resistant bacteria, alternative therapies
for infections must be prioritized. While pathogenic bacteria are a major threat, they also supply
a massive reservoir of potential drugs for treating a wide range of illnesses. The concerning
emergence of antimicrobial resistance and the rapidly dwindling therapeutic pipeline need the
quick discovery and development of new antibiotics. Despite their great promise for natural product
medicine development, pathogenic microorganisms have remained mostly unexplored and understudied.
We review the antibacterial activity of specialized metabolites derived from pathogenic
bacteria, emphasizing those presently in pre-clinical studies or with promise for medication development.
Several atypical biosynthetic pathways are outlined, together with the crucial functions.
We also discuss the mechanism of action and antibacterial activities of the antibiotics under consideration.
Pathogenic bacteria as a rich source of antibiotics, along with recent advances in genomics
and natural product research methods, may usher in a new golden age of antibiotic discovery.
Current Market Potential and Prospects of Copper-based Pyridine
Derivatives: A Review
Authors: Tyagi Shivani , Mishra Rakhi , Mazumder Rupa , Mazumder Avijit 
Published: July 2023

Abstract:
Nicotine, minodronic acid, nicotinamide (niacin), zolpidem, zolimidine, and
other pyridine-based chemicals play vital roles in medicine and biology. Pyridinecontaining
drugs are widely available on the market to treat a wide range of human
ailments. As a result of these advances, pyridine research is continually expanding, and
there are now higher expectations for how it may aid in the treatment of numerous
ailments. This evaluation incorporates data acquired from sources, like PubMed, to
provide a thorough summary of the approved drugs and bioactivity data for compounds
containing pyridine. Most of the reactions discussed in this article will provide readers
with a deeper understanding of various pyridine-related examples, which is necessary
for the creation of copper catalysis-based synthetic processes that are more accessible,
secure, environmentally friendly, and practical, and that also have higher accuracy and
selectivity. This paper also discusses significant innovations in the multi-component
copper-catalyzed synthesis of N-heterocycles (pyridine), with the aim of developing
precise, cost-effective, and environmentally friendly oxygenation and oxidation synthetic
methods for the future synthesis of additional novel pyridine base analogs. Therefore,
the review article will serve as a novel platform for researchers investigating copperbased
pyridine compounds.
Effect of Transcranial Pulse Stimulation for the Treatment of Alzheimer´s
Disease and its Related Symptoms
Authors: Fernández-Castaño Ramiro , Fernández-Blázquez Miguel Ángel , Echevarría Fernández Iria , Cabrera-Freitag Manuela , Freitag Karin 
Published: July 2023

Abstract:
Alzheimer's disease (AD) is the most common cause of neurodegenerative cognitive impairment. Brain stimulation techniques based on the delivery of transcranial shockwaves are currently being studied for their increasing popularity as an approach to modulate the human brain in a focal and targeted manner making this therapy a promising line of action against AD. In the present manuscript, we review for further understanding whether transcranial pulse stimulation (TPS) is a beneficial treatment for AD patients. PubMed, Google Scholar, and Cochrane databases were accessed with the search criteria set from year 2001 to 2022 and the following keywords were used: “transcranial pulse stimulation”, “focused ultrasound”, “noninvasive treatment and Alzheimer” and “TPS”. The search was focused on papers that provide evidence on the biological bases of the method, as well as its safety and tolerability. Even though more studies are needed with greater scientific rigor, such as a double-blind and randomized study versus a placebo, TPS is an excellent and safe therapeutic option for AD. This novel approach accompanies currently available treatments and complements them, helping to maintain greater stability of the disease and slowing its progression. The biological effects and potential mechanisms of action of TPS for the improvement of cognitive function are further discussed.