bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of genotoxic stress in streamer formation
Authors: Ponce Zaira Maria Heredia , Secchi Eleonora , Toyofuku Masanori , Marinova Gabriela , Savorana Giovanni , Eberl Leo 
Published: June 2023

Abstract
DNA is a component of biofilms, but the triggers of DNA release during biofilm formation and how DNA contributes to biofilm development are poorly investigated. One key mechanism involved in DNA release is explosive cell lysis, which is a consequence of prophage induction. In this article, the role of explosive cell lysis in biofilm formation was investigated in the opportunistic human pathogen Burkholderia cenocepacia H111 (H111). Biofilm streamers, flow-suspended biofilm filaments, were used as a biofilm model in this study, as DNA is an essential component of their matrix. H111 contains three prophages on chromosome 1 of its genome, and the involvement of each prophage in DNA and membrane vesicle (MV) release as well as their contribution to streamer formation were studied in the presence and absence of genotoxic stress. The results show that two of the three prophages of H111 encode functional lytic prophages that can be induced by genotoxic stress and their activation causes DNA and MVs release by explosive cell lysis. Furthermore, it is shown that the released DNA enables the strain to develop biofilm streamers, and streamer formation can be enhanced by genotoxic stress. Overall, this study demonstrates for the first time the involvement of prophages in streamer formation and uncovers an often-overlooked problem with the use of antibiotics that trigger the bacterial SOS response for the treatment of bacterial infections.
Developing an In-House Colorimetric Method for Detecting Organophosphate and Carbamate Residue Using Cricket Cholinesterase
Authors: Wongta Anurak , Hongsibsong Surat , Anand Priyanshi , Jaitum Udomsurb , Sawarng Nootchakarn , Wongwilai Wasin , Dhumtanom Pongsathorn 
Published: June 2023

Abstract
Background
Pesticides such as organophosphates and carbamates are used to control pests, leaving residues on fruits and vegetables. The assessment of residues in food materials is required for consumer and agricultural worker health protection. The purpose of this study was to develop an in-house colorimetric method for detecting organophosphate and carbamate residues using cricket cholinesterase that can be used as a low-cost, simple-to-use, and widely used test.
Result
The method's parameters, including substrate specificity, kinetics, and incubation time, were optimized. The specificity and purification factor of the produced ChE were 0.77 M/min/mg and 7.16-fold, respectively. The LOD for detecting organophosphates and carbamates was in the range of 0.002–0.877 ppm. The validity of the method yielded the following results: relative sensitivity of 95%, relative specificity of 90%, relative accuracy of 93%, positive predictive value of 95%, and negative predictive value of 90%.
Conclusion
The developed method is simple and inexpensive, and it can analyze organophosphates and carbamates in a variety of vegetables at an appropriate detection level. Cholinesterase from cricket has the potential to be used for the development of a variety of methods for detecting residues, and the sensitivity could be enhanced by using new techniques in the future.
From Waste to Wheat: The Impact of Recycled Manganese Sulfate from Zinc-Carbon Batteries on Water-Stressed Wheat Cultivation
Authors: valson aparna , Varma Nimisha , Suman Naveen 
Published: June 2023

Abstract
Micronutrient deficiencies in soils of India have been reported as a significant hindrance to crop productivity, particularly in the semi-arid regions. In this study, we evaluated the efficacy of recycled liquid manganese (2.11% Mn) obtained from dry cell batteries on the growth and yield of wheat plants. Two application methods, foliar application and seed priming, were tested with varying concentrations. Under foliar application, three concentrations were used (0.5%, 0.75%, and 1%), while under seed priming, two concentrations were used (0.05M and 0.1M) combined with different foliar applications. The pot trials showed a significant increase in the yield of wheat with foliar application of manganese. The best results were obtained with 0.75% and 0.5% foliar application, showing early booting and a higher number of plants per 10 cm2. Germination rates were higher in the 0.05M concentration, which combined with 0.75% foliar application, showed the best results. Additionally, resistance to various soil-borne diseases was observed, and the tests were conducted under water stress conditions. Our findings suggest that recycled manganese from dry cell batteries can be an effective and sustainable solution to improve crop yield in regions with micronutrient-deficient soils.
Simulation Study of An Interleaved Flyback Converter for Micro Grid Systems Operating in the CCM Mode
Authors: SALİHMUHSİN Metin 
Published: June 2023

Abstract
This paper presents a design and an implementation of an isolated grid connected micro inverter system that is based on an interleaved flyback topology. The developed system gets input from a 250 W PV panel, converts the dc energy into ac and connects it to the grid. This work covers the simulation aspect of developing the above mentioned system where extensive simulations are performed in order to find and optimize values of desired parameters and simulate the overall system. The CCM (Continues Conduction Mode) of operation for the flyback converter is preferred as it generates considerably less amount of the current ripple at converter output when compared to DCM operation and less amount of power loss. A feedback loop with a PI controller is incorporated into the design in order to properly stabilize the system. Simulation results demonstrated that the developed system generates sinusoidal voltage and current signals of 50 Hz in frequency with desired amplitudes at the output of the system. Connection of generated ac waveforms to the grid is accomplished by means of a PLL block. THD of the grid current is found as 11.57% due to spikes at zero crossings.
A Novel Detection of Tibiofemoral Joint Kinematical Space using Graph-based Model of 3D Point Cloud Sequences
Authors: Pattanaik Priyadarshini , Alsubaie Najah , Alqahtani Mohammed S. , Soufiene Ben Othman 
Published: June 2023

Abstract
The goal of this paper is to tackle the challenge of estimating motion in sequences of 3D point clouds that feature the movement of the knee joint's 3D positions and color attributes. Kinematics and morphology (form) are two important factors in determining the features of flexion and extension. Joints are crucial parts of the linear motion system. Precise estimation of both moments and shape is required to comprehend the functionality of joint surfaces (e.g., the knee). The diagnosis of knee pathologies and treatment of chronic joint diseases such as Osteoarthritis requires an accurate understanding of the in vivo biomechanics of the human knee. However, measuring kinematics in human patients is challenging. The dynamic monitoring of knee motions, whereby generates a realistic bone model that includes and excludes cartilage, can be used to create a novel measurement technique for knee investigations. Such morph kinematic modeling offers the chance to analyze the knee's kinematics and examine interrelations like surfaces in contact or regions. Our purpose is to apply a 3D cloud point database and rigid femur and tibial skeleton to determine motion from the morphology of knee joints. As far as we are aware, this new research paper is the first to utilize both the spatial correlation within each frame (represented by a graph) and the temporal correlation between frames (represented by motion estimation) to enhance the accuracy of joint shape and movement analysis in the context of osteoarthritis. The 3D factor cloud order is in better shape. With the help of a 3D statistical knee database from morphology, our paper proposes a technique for quantifying knee kinematics (motion) (shape).
Unravelling transcriptomic complexity in breast cancer through modulation of DARPP-32 expression and signalling pathways
Authors: Saidy Behnaz , Vasan Richa , Durant Rosie , Greener Megan-Rose , Immanuel Adelynn , Green Andrew R , Rakha Emad , Ellis Ian , Ball Graham , Martin Stewart G , Storr Sarah J 
Published: June 2023

Abstract
DARPP-32 is a key regulator of protein-phosphatase-1 (PP-1) and protein kinase A (PKA), with its function dependent upon its phosphorylation state. We previously identified DKK1 and GRB7 as genes with linked expression using Artificial Neural Network (ANN) analysis; here, we determine protein expression in a large cohort of early-stage breast cancer patients. Low levels of DARPP-32 Threonine-34 phosphorylation and DKK1 expression were significantly associated with poor patient prognosis, while low levels of GRB7 expression were linked to better survival outcomes. To gain insight into mechanisms underlying these associations, we analysed the transcriptome of T47D breast cancer cells following DARPP-32 knockdown. We identified 202 differentially expressed transcripts and observed that some overlapped with genes implicated in the ANN analysis, including PTK7, TRAF5, and KLK6, amongst others. Furthermore, we found that treatment of DARPP-32 knockdown cells with 17β-estradiol or PKA inhibitor fragment (6–22) amide led to the differential expression of 193 and 181 transcripts respectively. These results underscore the importance of DARPP-32, a central molecular switch, and its downstream targets, DKK1 and GRB7 in breast cancer. The discovery of common genes identified by a combined patient/cell line transcriptomic approach provides insights into the molecular mechanisms underlying differential breast cancer prognosis and highlights potential targets for therapeutic intervention.
Development and Validation of a Deep Learning-Enhanced Prediction Model for the Likelihood of Pulmonary Embolism
Authors: Tian Yu , Wang Liyang , Wu Shibin , Wu Shan , Zheng Yucong , Han Rongye , Bao Qianhui , Li Lei , Yang Tao 
Published: June 2023

Abstract
Introduction
Pulmonary embolism (PE) is a common and potentially fatal disease, and timely and accurate assessment of the risk of PE occurrence in patients with Deep Vein Thrombosis (DVT) is crucial. This study aims to develop a precise and efficient deep learning-based PE risk prediction model, PE-Mind.
Materials and Methods
We first preprocessed and reduced the high-dimensional clinical features collected from patients. The 37 most important clinical features were grouped, sorted, and connected to capture potential associations between them. The proposed model utilizes a convolutional approach, including three custom-designed residual modules. To validate the model's superiority, we also compared it with five mainstream models.
Results
The results show that PE-Mind demonstrated the highest accuracy and reliability, achieving an accuracy of 0.7826 and an area under the receiver operating characteristic curve of 0.8641 on the prospective test set, outperforming other models. Based on this, we have also developed a Web server, PulmoRiskAI, for real-time physician operation.
Conclusions
The proposed method has the potential to become a practical clinical tool, providing doctors with more accurate PE risk assessments and timely identification of high-risk patients.
Causes and Consequences of Trade Data Falsification in Bangladesh: A Study with India as Partner
Authors: Das Samir Kumer , Biswas Amit K. 
Published: June 2023

Abstract
Intentionally falsified international trade statistics poses a big challenge to the policy makers, specifically in the developing world. Given the doctored dataset, it is very hard to design effective policy prescriptions that suit the foreign exchange and capital scarce economies. On the other hand, corrupt international traders rationally misreport to evade stringent policy regulations. Under this backdrop, this paper takes up the misreporting scenario in Bangladesh with India as a major bilateral trade partner and finds several trade, exchange and macro variables like spot and forward rates, tariff barriers, real interest rate differentials have telling effects on rate of trade mis-invoicing. We also find that past values of import under-invoicing may lead to export under-invoicing in financing the hidden import basket. Finally we also present informal capital movement and falsified GDP calculation as consequences of intentional trade data falsification.
JEL: F14, F41, C13, C52.
Prevalence and effects of alcohol and substance use on HIV clinical outcomes in a clinic-based cohort in South Africa
Authors: Shapiro Adrienne E , Govere Sabina , Galagan Sean , Krows Meighan , Moosa Mohammed-Yunus , Celum Connie L , Drain Paul K 
Published: June 2023

Abstract

Alcohol and other substance use (AoSU) are associated with worse HIV outcomes in many settings, but there is limited data from South Africa. In a prospective clinic-based cohort (N = 2376) of people living with HIV (PLWH) in South Africa, we determined the prevalence and correlates of AoSU at entry (use in the last 30 days) with outcomes in the first 12 months of care. Alcohol use was more common among men (50%) than women (33%). Other substance use was uncommon (6%). Alcohol and substance use were not associated with ART initiation (ORalcohol 0.91, p = 0.34; ORsubstance 1.4, p = 0.14). Alcohol use was associated with significantly lower odds of being retained in HIV care (aOR 0.70, 95%CI 0.55–0.90). Non-marijuana substance use was associated with lower odds of viral suppression (aOR 0.35, 95%CI 0.12–1.01). Further quantification of AoSU among PLWH in South Africa are needed to implement appropriate interventions to reduce harms from AoSU.
Evolving Trends in the Surgical Therapy of Patients with Endometrial Cancer in Germany: Analysis of a Nationwide Registry with Special Emphasis on Perioperative Outcomes
Authors: Roth Katrin , Kaier Klaus , Stachon Peter , Mühlen Constantin von zur , Jungmann Peter , Grimm Juliane , Klar Maximilian , Juhasz-Böss Ingolf , Taran Florin-Andrei 
Published: June 2023

Abstract
Purpose
Endometrial cancer (EC) is the most common gynecological malignancy in women, with increasing incidence in the last decades. Surgical therapy is the mainstay of the initial management. The present study analyzed the evolving trends of surgical therapy in Germany in patients diagnosed with EC recorded in a nationwide registry.
Methods
All patients with the diagnosis of EC undergoing open surgery, laparoscopic surgery and robotic-assisted laparoscopic surgery between 2007 and 2018, were identified by international classification of diseases (ICD) or specific operational codes (OPS) within the database of the German federal bureau of statistics.
Results
A total of 85,204 patients underwent surgical therapy for EC. Beginning with 2013, minimal-invasive surgical therapy was the leading approach for patients with EC. Open surgery was associated with a higher risk of in-hospital mortality (1.3% vs. 0.2%, p < 0.001), of prolonged mechanical ventilation (1.3% vs. 0.2%, p < 0.001), and of prolonged hospital stay (13.7 ± 10.2 days vs. 7.2 ± 5.3 days, p < 0.001) compared to laparoscopic surgery. A total of 1551 (0.04%) patients undergoing laparoscopic surgery were converted to laparotomy. Procedure costs were highest for laparotomy, followed by robotic-assisted laparoscopy and laparoscopy (8286 ± 7533€ vs. 7083 ± 3893€ vs. 6047 ± 3509€, p < 0.001).
Conclusion
The present study revealed that minimal-invasive surgery has increasingly become the standard surgical procedure for patients with EC in Germany. Furthermore, minimal-invasive surgery had superior in-hospital outcomes compared to laparotomy. Moreover, the use of robotic-assisted laparoscopic surgery is increasing, with a comparable in-hospital safety profile to conventional laparoscopy.
Sarcopenia and sarcopenic obesity among community-dwelling Peruvian adults: A cross-sectional study
Authors: Flores-Flores Oscar , Zevallos-Morales Alejandro , Pollard Suzanne L. , Checkely William , Siddharthan Trishul , Hurst John R. , Bernabé-Ortiz Antonio , Runzer-Colmenares Fernando M , Witham Miles , Parodi José F. 
Published: June 2023

Abstract
Background
Sarcopenia and sarcopenic obesity (SO) have emerged as significant contributors to negative health outcomes in the past decade. However, there remains a lack of consensus on the criteria and cut-off thresholds for assessing sarcopenia and SO. Moreover, limited data are available on the prevalence of these conditions in Latin American countries. To address this evidence gap, we aimed to estimate the prevalence of probable sarcopenia, sarcopenia, and SO in a community-dwelling population of 1151 adults aged ≥ 55 years in Lima, Peru.
Methods
Data collection for this cross-sectional study was conducted between 2018 and 2020 in two urban low-resource settings in Lima, Peru. Sarcopenia was defined as the presence of low muscle strength (LMS) and low muscle mass (LMM) according to European (EWGSOP2), US (FNIH) and Asian (AWGS) guidelines. We measured muscle strength by maximum handgrip strength; muscle mass using a whole-body single-frequency bioelectrical impedance analyzer, and physical performance using the Short Physical Performance Battery and 4-meter gait speed. SO was defined as a body mass index ≥ 30 kg/m2 and sarcopenia.
Results
The study participants had a mean age of 66.2 years (SD 7.1), of which 621 (53.9%) were men, and 41.7% were classified as obese (BMI ≥ 30.0 kg/m²). The prevalence of probable sarcopenia was estimated to be 22.7% (95%CI: 20.3–25.1) using the EWGSOP2 criteria and 27.8% (95%CI:25.2–30.4) using the AWGS criteria. Sarcopenia prevalence, assessed using skeletal muscle index (SMI), was 5.7% (95%CI: 4.4–7.1) according to EWGSOP2 and 8.3% (95%CI: 6.7–9.9) using AWGS criteria. The prevalence of sarcopenia based on the FNIH criteria was 18.1% (95%CI: 15.8–20.3). The prevalence of SO, considering different sarcopenia definitions, ranged from 0.8% (95%CI: 0.3–1.3) to 5.0% (95%CI: 3.8–6.3).
Conclusions
Our findings reveal substantial variation in the prevalence of sarcopenia and SO when using different guidelines, underscoring the necessity for context-specific cut-off values. Nevertheless, regardless of the chosen guideline, the prevalence of probable sarcopenia and sarcopenia among community-dwelling older adults in Peru remains noteworthy.
Teaching Learning based Optimization and Cohort Intelligence for Stochastic Microgrid Power System
Authors: D Murugesan , K Jagatheesan , shah Pritesh , sekhar Ravi 
Published: June 2023

Abstract
Interconnected multi-area microgrids are the future of sustainable and reliable power systems. Microgrids require effective load frequency control for stable operation. This paper presents a proportional–integral–derivative (PID)based load frequency controller(LFC) for a stochastic microgrid power system having multiple power sources viz. 6 solar, wind, diesel engine generator, and electrical battery. The gain parameters of the proposed microgrid PID LFC 7 regulator were optimized by using a genetic algorithm (GA), teaching learning-based optimization (TLBO), and cohort 8 intelligence algorithms. The integral time-multiplied absolute error (ITAE) and integral time-squared error(ITSE) were 9 used as the cost functions for all algorithms. The performances of all optimized microgrid PID LFC architectures 10 were examined by applying random step load disruption conditions. Primary results show that the cohort intelligence 11 optimized PID LFC controller minimizes the computation time and attains superior robust response characteristics. The 12 cohort intelligence algorithm also consumes a lesser number of iterations and improves the power supply quality in the 13 multi-power micro-grid electrical power framework with regard to effective load frequency control characteristics.
The relationship between self-control and mobile phone addiction in Chinese college students: The mediating roles of fear of missing out and stress
Authors: Fu Guifang , Zhang Minhui , Ou Jiaheng , Chen Caiqi 
Published: June 2023

Abstract

Background: Mobile phone addiction has become a serious problem among college students. Studies have examined the relationship between self-control and mobile phone addiction; however, few have discussed the indirect mechanism. This study aimed to examine the mediating role of fear of missing out in the relationship between self-control and mobile phone addiction.
Methods: 411 college students were random-sampling surveyed online using the Self-Control Scale (SCS), Fear of Missing Out Scale (FoMOS), Perceived Stress Scale (PSS) and Mobile Phone Addiction Index (MPAI). Mediating effect analysis was used to test the hypothesis.
Results: The results showed that fear of missing out, stress, and mobile phone addiction were positively correlated, whereas self-control was negatively correlated with all three variables. Mediation analysis revealed that self control predicted mobile phone addiction not only directly but also through three indirect paths through the mediating role of (1) fear of missing out, (2) stress, and (3) the serial mediating role of fear of missing out and stress.
Conclusions: This study expands the theoretical research on self-control and mobile phone addiction and provides theoretical support to interventions on college students' mobile phone addiction.
Feasibility Study of Telluric Magnetic Field Frequency Selection Method Supported by Numerical Modeling and Karst Aquifer Case Studies
Authors: Yang Tianchun , HUANG RUI , Hussain Yawar , GAO QIANGSHAN 
Published: June 2023

Abstract

Driven by the magnetotelluric (MT), the telluric electrical field frequency selection method (TEFSM) and telluric magnetic field frequency selection method (TMFSM) measure the the horizontal components of the earth's telluric field at several frequencies along the direction of the survey line. The authors have already documented in previous study, the obtained anomalies applying the TEFSM are not free from the static shift effects. This study focuses on investigating the feasibility of the TMFSM in the context of a karst aquifer through two-dimensional forward simulations and field measurements. Utilizing the MT 2D forward modeling theory, we calculated the surface horizontal electric Ex and magnetic Hx field components along the profile in both telluric magnetic (TM) and in telluric electric (TE) polarization modes. Secondly, TEFSM was employed for groundwater exploration in the karst aquifer. Additionally, the field testing of audio-frequency magnetotelluric (AMT) was conducted using V8 electric acquisition system that minimized the interferences from anthropogenic noise sources. The simulation results indicated that the Ex component exhibited significantly high-value anomalies over high resistance bodies, whereas Ey and Hx components did not show clear anomalies. However, all three components displayed apparent anomalies for conductive bodies. Theoretically, TMFSM is feasible for exploring shallow conductive abnormal bodies, although the component Hx component is susceptible to external interference in practical applications. Therefore, designing specialized magnetic sensors with strong anti-interference capability and high accuracy is significant for achieving satisfactory results.