bluuebunny/crossref_metadata_2025 huggingface dataset:
Organizational information processing in Indian de-regularized state owned enterprises in energy sector: Role in determination of organizational performance
Authors: Gupta Mukesh Kumar , Kumar Harendra , P Geeta
Published: August 2023

The ‘organizational performance measurement’ has remained a matter of extensive academic research ever since the de-regularization of state owned enterprises in critical infrastructure sectors. The organizational performance in financial and non-financial aspects has been reviewed with multiple constituencies involving multiple aspects and dimensions. In nutshell the manner and pattern of organizational interest articulation, corporate interest determination and efficient functioning bears an extensive dependence on the information availability, information processing and respective information leverage. The evident lack of sophisticated measurement metrics and instruments, frameworks and paradigms and techniques seem to present a dismal front regarding organizational performance calibration in post liberalization phase as well as post globalization phase. A large quantum of studies on organizational economics seems to link the organizational failure and performance management. The studies seem vocal about the challenges of dismal interest articulation on account of inborn incentive problems and bounded rationality problems. The observed lack of organizational agents to act in the organization’s interests or agents in non-possession of the necessary decisional information, lack of vision and lack of timely action, short termism and misallocation of authority, communication failures within the organization due to incentive misallocation, resistance to change due to vested interests and miscommunication due to bounded rationality; all seem to bear a relationship with plaguing problems of lack of thrust on information availability, processing and respective performance management in deregulating state owned enterprises. In summary, the pattern and manner of information processing is widely believed to shape the performance in financial, non-financial, marketing and strategic terms. The extent of centralization, formalization and role of competent and efficient information systems have been observed as shaping the decision patterns and scope for financial and non-financial aspect in one or other way. The centralization and formalization have been characterized as rigid, hierarchal organizational structures that can possibly derail the performance aspects. The study hence reviews the literature, the theoretical frameworks and conceptual models that reflect on the information processing mechanisms as influencing the strategic and financial organizational performance especially with regard to Indian energy sector.
Galvanic corrosion behavior of bainite weathering steel welded joint in simulated marine atmosphere environment based on capillary microcell
Authors: Huang Feng , Wang Xingyu , Hu Qian , Zhang Jiawei , Liu Jing
Published: August 2023

The kinetical behavior and mechanism of micro-galvanic corrosion of Q690 bainitic weathering steel welded joint in marine atmosphere were investigated. The results showed that a micro-galvanic corrosion cell formed among different regions of the Q690 welded joint. The kinetical behavior of micro-galvanic corrosion could be divided into four stages: the initiation and development of micro-galvanic corrosion, the decreasing of galvanic corrosion rate, the polarity reversal of galvanic couple, and the disappearance of galvanic effect. The difference of corrosion rate between Q690 steel and its welded joint is closely related to the micro-galvanic corrosion kinetic behavior.
In-situ magnetic deep eutectic solvent based on dispersive liquid-liquid microextraction for determination of cefixime in biological samples by high-performance liquid chromatography
Authors: Abdi khosrou , ezoddin maryam , Behnamipour Somaye , Taghizadeh Tayebeh
Published: August 2023

In this study, an in-situ hydrophobic magnetic deep eutectic solvent based on ultrasound-assisted dispersive liquid-liquid microextraction (HMDES-UA-DLLME) was considered for the determination of cefixime drug in the biological samples. A deep eutectic solvent magnetized (MDES), [tetrabutylammonium bromide/decanoic acid][FeCl3] was prepared through an in-situ combination of the deep eutectic solvent (DES) and FeCl3 in the sample solution. The characterization of the synthesized component was performed by fourier transform infrared (FT-IR) and vibrating sample magnetometry (VSM). Some factors influencing the extraction yield were assessed. Based on following the optimization, the calibration curve for the analyte was in the ranges of 2-1000 µg L− 1, with a correlation coefficient higher than 0.9954. The limits of detection (LODs) and limits of quantification (LOQs) were 0.5 and 1.6 µg L− 1 in real samples, respectively. The intra-day and inter-day precision were in the range of 33 − 3.9% and 4.5–5.2% respectively. The extraction recoveries and enrichment factors of the analyte were acquired to be in the range of 92.1–93.8% and 125, respectively. Ultimately, the method was handled to extract cefixime drug in wastewater, human urine and plasma samples.
Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition
Authors: Kim Dohun , Park Hyukjin , Kim Tonghyun , Kim Wonjong , Paik Joonki
Published: August 2023

This paper introduces a real-time Driver Monitoring System (DMS) designed to monitor driver behavior while driving, employing facial landmark estimation-based behavior recognition.
The system utilizes an infrared (IR) camera to capture and analyze video data.
Through facial landmark estimation, crucial information about the driver's head posture and eye area is extracted from the detected facial region, obtained via face detection.
The proposed method consists of two distinct modules, each focused on recognizing specific behaviors.
The first module employs head pose analysis to detect instances of inattention.
By monitoring the driver's head movements along the horizontal and vertical axes, this module assesses the driver's attention level.
The second module implements an eye-closure recognition filter to identify instances of drowsiness.
Depending on the continuity of eye closures, the system categorizes them as either occasional drowsiness or sustained drowsiness.
The advantages of the proposed method lie in its efficiency and real-time capabilities, as it solely relies on IR camera video for computation and analysis.
To assess its performance, the system underwent evaluation using IR-Datasets, demonstrating its effectiveness in monitoring and recognizing driver behavior accurately.
The presented real-time Driver Monitoring System with facial landmark-based behavior recognition offers a practical and robust approach to enhance driver safety and alertness during their journeys.
Introduction of Near Field Communication for file sharing system in radiotherapy
Authors: Okamoto Hiroyuki , Chiaba Takahito , Nishitani Masato , Nakamura Satoshi , Iijima Kotaro , Nakayama Hiroki , Shuto Yasunori , Takano Yuki , Kobayashi Yuta , Kishida Hironori , Urago Yuka , Nishina Shyuka , Kon Mitsuhiro , Igaki Hiroshi
Published: August 2023

Near Field Communication (NFC) is an extension of radio frequency identification (RFID) technology, enabling contactless wireless communication for easy and quick access to specific information. In this study, we aim to assess the NFC capability in the radiotherapy department and develop a file sharing system using NFC tags. We utilized the battery-less NFC tag (MM-NFCT, SANWA SUPPLY INC., Okayama, Japan), which can be placed anywhere due to its sealed one side. We uploaded various types of files and movies to be shared on Google Drive, and the sharing URL was stored in the NFC tag using a NFC application. We also provided examples of utilizing the NFC tag and examined suitable document types for sharing in the radiotherapy department. Additionally, we investigated 28 smartphones for NFC technology compatibility. Manually describing treatment planning procedures and institution-specific margin recipes of planning target volume in each tumor site is suitable for sharing via the NFC tag. By placing the NFC tag at work locations, simply touching it with a smartphone grants immediate access to these documents for confirmation. Regarding smartphone compatibility with NFC tags, 25 out of 28 individuals (approximately 89%) were able to identify the NFC tag. The NFC technology is introduced at a low cost for work efficiency. It is useful to quickly access desired information in a radiotherapy department, such as treatment planning manuals and checklists. The NFC system allows for the development of a specific-institution radiotherapy environment, enabling the sharing of various documents and NFC tag placements as desired.
Generation of a bank of clinical-grade, HLA homozygous iPSC lines with high coverage of the Spanish population
Authors: Kuebler Bernd , Alvarez-Palomo B. , Aran B. , Castaño J. , Rodriguez L. , Raya A. , Querol Sergi , Veiga A.
Published: August 2023

Background: Induced Pluripotent Stem Cells (iPSC) derived cell therapies are an interesting new area in the field of regenerative medicine. One of the approaches to decrease costs of iPSC derived therapies is the use of allogenic homozygous human leukocyte antigen (HLA) matched donors to generate iPSC lines and to build up a clinical grade iPSC bank covering high percentage of the Spanish population.
Methods: The Spanish Stem Cell Transplantation Registry was screened for cord blood units (CBUs) homozygous for the most common, HLA-A, -B and DRB1 haplotypes. 7 donors were selected with haplotypes covering 21.37% of the haplotypes of the Spanish population.
CD34 positive hematopoietic progenitors were isolated from the mononuclear cell fraction of frozen cord blood units from each donor by density gradient centrifugation and further by immune magnetic labelling and separation using purification columns. Purified CD34+ cells were reprogrammed to iPSCs by transduction with CTS CytoTune-iPS 2.1 Sendai Reprogramming Kit.
Results: The generated iPSCs from the 7 donors were expanded, characterized, banked, and registered. Master Cell Banks (MCB) and Working Cell Banks (WCB) from the iPSCs of each donor were produced under GMP conditions in qualified clean rooms.
Conclusions: Here we present the first, clinical-grade, iPSC haplobank in Spain made from CD34+ cells from seven cord blood units homozygous for the most common HLA-A, -B and -DRB1 haplotypes within the Spanish population. We describe their generation by transduction with Sendai viral vectors and their GMP-compliant expansion and banking. These haplolines will constitute starting materials for advanced therapy medicinal product development.
Silver nitrate damages the ovary of adult zebrafish: Evaluation of oxidative stress, expression of oxidative stress-related genes and histological changes in ovary
Authors: Ramchandani Divya M , Modi Chirag M , Patel Pavan M , Patel Harshad B , Patel Urvesh D , Paida Bhulesh V , Patel Harsh R
Published: August 2023

Silver nitrate, a toxic compound with harmful consequences, is found in freshwater. Adult female zebrafish as an animal model was used in this study to explore the harmful effect of silver nitrate (AgNO3) on developed ovary. Zebrafish were divided in different groups and exposed to silver nitrate at concentration of 8.75, 17.5, and 35 µg/L for 28 days. Oxidative stress markers and expression of oxidative stress-related genes and histological changes in the ovary were evaluated following exposure of silver nitrate. Exposure of Silver nitrate at highest concentration significantly decreased activity of SOD and CAT and level of GSH. While CAT activity was significantly decreased at all concentrations compared to that of control group. Medium and highest concentrations significantly increased the MDA level in the ovary. The suppression of mRNA expression of the sod, cat, and nrf2 (nuclear factor erythroid 2-related factor 2) genes at medium and highest exposure levels supports the oxidative stress related alterations. Histological examination revealed a mild depletion of yolk granules in mature oocytes at 17 µg/L, and a severe depletion of yolk granules, detachment of the vitelline membrane, degeneration of the granulosa cell layer, and proliferation of interstitial connective tissue at 35 µg/L. The findings elucidated that silver nitrate damages the ovary due to oxidative stress through down-regulation of sod, cat, and nrf2 genes.
Analysis of the decoupling effect and driving factors of carbon emissions from the transportation sector in Guangdong Province
Authors: Tang Yongping , Jiang Huiyuan
Published: August 2023

Promoting the Green Transformation of the Transportation Sector in Guangdong Province to Facilitate Coordinated Development between Construction and Carbon Emission Reduction in Transportation. Against the backdrop of the five-year plan, this study employs the Tapio decoupling model and the Logarithmic Mean Divisia Index decomposition method to analyze the decoupling status of carbon emissions from the transportation sector and its relationship with industry economic growth in Guangdong Province from 2001 to 2020. The results indicate the following:(1) The total volume of carbon emissions from the transportation sector in Guangdong Province, as well as per capita carbon emissions, exhibited an overall upward trend. Carbon emissions from petroleum sources accounted for a substantial 96% of the total emissions in the transportation sector, with diesel emissions contributing the highest proportion and experiencing the most significant increase.(2) The decoupling of carbon emissions from the transportation sector in Guangdong Province primarily demonstrated weak decoupling. In certain years, there were instances of expansive coupling, expansive negative decoupling, strong decoupling, and recessive coupling.The decoupling status was characterized by instability, indicating that the overall economic development of the transportation industry in Guangdong Province still relies on carbon emissions.(3) This study introduces the effects of urbanization, specifically income urbanization and spatial urbanization, which have an overall positive driving impact on changes in carbon emissions in the transportation sector of Guangdong Province. Conversely, the effects of energy intensity, population urbanization, industry scale, and energy structure have an overall negative driving impact on carbon emissions in the transportation sector of Guangdong Province. Among these factors, income urbanization emerges as the primary factor driving the increase in carbon emissions, while energy intensity acts as the main factor inhibiting the increase in carbon emissions.Finally, this study presents relevant policy recommendations.
Sensitive characterizations of rare earth ore in the Bayan Obo by terahertz time-domain spectroscopy
Authors: Zhang Tong , Zheng Zhiyuan , Zhang Mingrui , Li Shanshan , Huang Haochong , Shen Junfeng , Zhang Zili , Qiu Kunfeng
Published: August 2023

The Bayan Obo deposit is the world's largest polymetallic associated minerals of rare earths, iron and niobium, and the rarity of its physical properties restrict the knowledge and understanding of its laws. Taking the high-grade mixed rare earth concentrate of Bayan Obo as the research object, THz-TDS, XRF, XRD, SEM and TG-DTA of characterization are adopted for the systematic investigation of high-grade rare earth concentrate. The absorption coefficient and refractive index of high-grade rare earth ores and their associated minerals of fluorite and dolomite, are all investigated by terahertz. time-domain spectroscopy. The terahertz spectral response is affected by the type of mineral and its content. Random forest as a machine learning algorithm is used to achieve quantitative detection of their concentrations and components, with a coefficient of determination R2 of the absorption coefficient of the optical parameter reaching 0.925. This work promotes to the growing understanding of terahertz transmission spectroscopy of rare earth-bearing minerals, which can be used to help guide the search for minerals, and to detect, identify as well as quantify them in geology. Terahertz time-domain spectroscopy supplies a new method for study of rare earth resources, and the comprehensive development and utilization of resources in the Bayan Obo deposit.
Predicting the Pharmaceutical Needs of Hospitals
Authors: Nabizadeh Amir Hossein , Ghaemi Mohammed Mehdi , Goncalves Daniel
Published: August 2023

Purpose: People’s lives are always threatened by various diseases. The role of health and medical services, in particular medicine, is undeniable in protecting their lives. Timely preparation and providing medicine for patients is vital since medicine shortage can endanger their lives while excessive accumulation of medicine can put them at expiration risk and waste health budgets. In this paper, we introduce a model for the prediction of commonly used medicine (type and amount) in hospitals.
Methods: We have used a dataset of Afzalipur Hospital in Kerman collected for three years consisting of 283 features, which included over 12293431 medicine and 9531 patients. Nine features were selected using experts’ feedback and were fed into the random forest and neural network algorithms. For the prediction task, medicine types and their amounts were predicted for each individual using different training sets. In addition, the right prediction time was also found which is when predictions have a promising accuracy while the executive team of a hospital has enough time to provide the right amounts of the most used medicine.
Results: The performance of algorithms was evaluated using a confusion matrix. Our results showed that the random forest had a promising performance in predicting the amounts of the most used medicine for a month using two years of data (accuracy 83.3%) while its accuracy in predicting medicine was 35.9%.
Conclusion: Although our results are promising, in particular, for predicting the amounts of medicine, these results could be enhanced and more reliable using other metadata like ”patient underlying disease” and ”medical tests results”.
Accuracy of a new rapid diagnostic test for urinary antigen detection and assessment of drug treatment in opisthorchiasis
Authors: Worasith Chanika , Sithithaworn Jiraporn , Wongphutorn Phattharaphon , Homwong Chutima , Khongsukwiwat Kanoknan , Techasen Anchalee , Kopolrat Kulthida Y. , Loilome Watcharin , Namwat Nisana , Thinkamrop Bandit , Tawarungruang Chaiwat , Titapun Attapol , Laha Thewarach , Andrews Ross H. , Taylor-Robinson Simon , Sithithaworn Paiboon
Published: August 2023

Background
Screening for opisthorchiasis, a parasitic worm infection affecting many millions of people in Southeast Asia, has traditionally relied on fecal egg examination using the formalin-ethyl acetate concentration technique (FECT). Although urinary ELISA has been used more recently, we developed a urinary antigen-based rapid diagnostic test (RDT) to simplify diagnosis and as a point-of-care test and field applications for surveillance and control of opisthorchiasis.
Method
A urinary Opisthorchis viverrini (OV)-RDT was developed using immunochromatographic methodology with a specific monoclonal antibody against OV. The diagnostic performance of the urinary OV-RDT was compared to that of fecal FECT and urinary ELISA. Cross-relativities of urinary OV-RDT with other helminthiasis coexisted with O.viverrini were determined. A field trial in application of OV-RDT was compared with urinary ELISA at baseline screening and assessment of drug treatment outcomes in opisthorchiasis.
Results
Urinary OV-RDT had sensitivity of 94.2% and specificity of 93.2%, compared to faecal FECT (n = 493). OV-RDT had high diagnostic agreement and quantitative correlation with urine ELISA and faecal FECT. Cross-reactions of OV-RDT with other helminthiases were few (2% n = 96). Field trials of OV-RDT (n = 1629) yielded comparable prevalence of O. viverrini between urinary OV-RDT and urinary ELISA. OV screening showed high diagnostic agreement (kappa > 0.8) between OV-RDT and urinary ELISA. The cure rates of opisthorchiasis at 1 month post-praziquantel treatment determined by OV-RDT (86.6%) and urinary ELISA (80.5%) were similar.
Conclusions
The OV-RDT test has high potential as a new tool for screening and evaluating treatment outcomes in opisthorchiasis. The ease of sample collection and simplicity of OV-RDT may facilitate mass screening, control and elimination of opisthorchiasis, thereby contributing to a reduction in the disease burden in Southeast Asia.
Triglyceride-glucose index is associated with recurrent revascularization in patients with type 2 diabetes mellitus after percutaneous coronary intervention
Authors: Chen Qiang , Xiong Shiqiang , Zhang Zhen , Yu Xiuqiong , Chen Yingzhong , Ye Tao , Yang Siqi , Qi Lingyao , Chen Xu , Liu Hanxiong , Zheng Jingang , Cai Lin
Published: August 2023

Background: The TyG index, a reliable surrogate marker of insulin resistance, is independently associated with the severity of coronary artery lesions and the prognosis of coronary heart disease. The investigation aimed to explore the relationship between the TyG index and recurrent revascularization in individuals with type 2 diabetes mellitus (T2DM) resulting from the progression of lesions or in-stent restenosis (ISR).
Method: A total of 598 patients who met the inclusion and exclusion criteria were enrolled and divided into two groups based on the cut-off value determined through receiver operating characteristic (ROC) curve analysis. The primary endpoint was recurrent revascularization resulting from the progression of lesions or ISR. Cumulative curves were derived using the Kaplan-Meier method, while multivariate Cox regression analysis was employed to identify predictors of recurrent revascularization. The predictive ability of the TyG index was evaluated using several measures, including the ROC curve, likelihood ratio test, Akaike's information criteria, continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Internal validation was conducted through bootstrapping with 1000 resamples.
Results: During a median follow-up period of 19.00 months, a total of 62 (10.37%) patients experienced recurrent revascularization, including 53 cases of lesion progression and 9 cases of in-stent restenosis. After adjusting for potential confounders, the TyG index demonstrated an independent association with the primary endpoint in patients with diabetes (HR 1.9462, 95% CI: 1.2314 - 3.0760, P= 0.0044). The likelihood ratio test and Akaike's information criteria showed that the TyG index significantly improves the prognostic ability. Additionally, adding the TyG index improved the ability of the established risk model in predicting recurrent revascularization, indicated by a C-index of 0.776 (95% CI 0.724 – 0.828, P<0.01), with an NRI of 0.242 (95% CI 0.050–0.450, P=0.01), and an IDI of 0.024 (95% CI 0.003–0.077, P=0.02). These results remained consistent when the models were confirmed using an internal bootstrap validation method.
Conclusion: The findings highlight the potential of the TyG index as a valuable predictor of recurrent revascularization. Lesion progression emerged as the primary contributor to recurrent revascularization instead of in-stent restenosis. The incorporation of the TyG index into risk prediction models is likely to be beneficial for accurate risk stratification in order to improve prognosis.
Comprehensive characterisation of adipogenesis-related genes in colorectal cancer for clinical significance and immunogenomic landscape analyses
Authors: Han Jing , Li Shang shang , Zhan Qiong , Hu Yuchao , Zhong Chaoxiang , Yang Jie , Qiu Zhengcai
Published: August 2023

Objective: Colorectal cancer (CRC) is a significant global health concern, necessitating the identification of biomarkers and molecular subtypes to enhance clinical management. This study aims to evaluate the clinical significance of adipogenesis-related genes (ARGs) and molecular subtypes in CRC.
Methods: A comprehensive analysis of ARGs in CRC was conducted using publicly available datasets from accessible databases and bioinformatics tools. Unsupervised clustering analysis determined CRC molecular subtypes, while LASSO regression produced a prognostic model for risk assessment. The immunogenomic patterns and immunotherapy analysis were used for predicting patient response to immunotherapy. Additionally, qPCR analysis validated the identified pivotal gene expressions.
Results: Analysis of RNAseq data obtained from normal and tumour tissues revealed 50 differentially expressed biomarker genes. Unsupervised clustering identified two subtypes (Clusters A and B) with distinct survival outcomes. Clusters A and B displayed differing immune cell compositions and enriched biological pathways, suggesting potential therapeutic targets. A risk score model, employing five ARGs, effectively stratified patients into high and low-risk categories, demonstrating significant differences in survival outcomes. The model was validated and demonstrated robust predictive performance. High-risk patients exhibited altered immune cell proportions and gene expressions compared to low-risk patients. Furthermore, qPCR experiments confirmed the bioinformatics analysis findings.
Conclusion: This study provides valuable insights into the clinical relevance of ARGs and molecular subtypes in CRC, facilitating improved precision medicine and personalised treatment modalities.
Exploring the Potential of Augmented Reality Games for Managing Autism and ADHD: A Promising Alternative Approach
Authors: Joseph Jesla , Vinay M , Warrier Sunayna
Published: August 2023

Attention-Deficit/Hyperactivity Disorder ADHD significantly impairs a person's ability to function on a daily basis and negatively impacts their general wellbeing. Alternative methods are becoming more popular, despite the fact that standard therapies like medicine and behavioral therapy are frequently used. The usage of augmented reality (AR) games, Artificial Intelligence (AI) and neurofeedback therapy are the new possibilities we study and this article focuses on importance of AR. With its interactive and immersive features, augmented reality (AR) has potential for controlling ADHD, especially in pediatric populations. AR games can be particularly created to treat issues connected to ADHD and improve executive functioning, focus, and attention. These gamification techniques offer creative and entertaining solutions that assist people with ADHD in managing symptoms and enhancing overall functioning by utilizing the captivating qualities of AR.
Use of Artificial Intelligence to Improve the Calculation of Percent Adhesion for Transdermal and Topical Delivery Systems
Authors: Wang Chao , Strasinger Caroline , Weng Yu-Ting , Zhao Xutong
Published: August 2023

Adhesion is a critical quality attribute and performance characteristic for transdermal and topical delivery systems (TDS). Regulatory agencies recommend in vivo skin adhesion studies to support the approval of TDS in both new drug applications and abbreviated new drug applications. The current assessment approach in such studies is based on the visual observation of the percent adhesion, defined as the ratio of the area of TDS attached to the skin to the total area of the TDS. Visually estimated percent adhesion by trained clinicians or trial participants creates variability and bias. In addition, trial participants are typically confined to clinical centers during the entire product wear period, which may lead to challenges when translating adhesion performance to the real world setting. In this work we propose to use artificial intelligence and mobile technologies to aid and automate the collection of photographic evidence and estimation of percent adhesion. We trained state-of-art deep learning models with advanced techniques and in-house curated data. Results indicate good performance from the trained models and the potential use of such models in clinical practice is further explored.
Interior solution of azimuthally symmetric case of Laplace equation in orthogonal similar oblate spheroidal coordinates
Authors: Strunz Pavel
Published: August 2023

Curvilinear coordinate systems distinct from the rectangular Cartesian coordinate system are particularly valuable in the field calculations as they facilitate the expression of boundary conditions of differential equations in a reasonably simple way when the coordinate surfaces fit the physical boundaries of the problem. The recently finalized orthogonal similar oblate spheroidal (SOS) coordinate system can be particularly useful for a physical processes description inside or in the vicinity of the bodies with the geometry of an oblate spheroid. Such shape is aproximating well objects investigated within astrophysics. The solution of the azimuthally symmetric case of the Laplace equation was found for the interior space in the orthogonal SOS coordinates. In the frame of the derivation of the harmonic functions, the Laplace equation was separated by a special separation procedure. A generalized Legendre equation was introduced as the equation for the angular part of the separated Laplace equation. The harmonic functions were determined as relations involving generalized Legendre functions of the first and of the second kind. Several lower-degree functions are reported. Recursion formula facilitating determination of the higher-degree harmonic functions was found. The general solution of the azimuthally symmetric Laplace equation for the interior space in the SOS coordinates is reported.
Conditional Inference on the Burr Type-XII
Distribution Parameters
Authors: Maswadah M.
Published: August 2023

It is widely known that conditional inference is usually just as effective as Bayesian inference based on non-informative priors. However, it is less efficient than Bayesian inference based on informative priors. Therefore, the main objective of this work is to apply Bayes’ theorem to the conditional distribution of the pivotal functions for finding the estimates of Burr type-XII model parameters based on the kernel prior of the pivotal functions and compare them with Bayes estimates, via Monte Carlo simulations. The simulation results showed that conditional inference is highly efficient and provides better estimates than Bayes’ method based on different loss functions. Finally, two real data sets were applied to demonstrate the efficiency of the proposed methods
Proteome-wide Mendelian randomization and colocalization analysis identify potential drug targets for psoriasis
Authors: Li Shifang , Gong Meijiao
Published: August 2023

Psoriasis is a prevalent chronic inflammatory disease of the skin. New psoriasis therapy targets are required. 18 causative proteins were discovered in this study employing proteome-wide Mendelian randomization analysis by integration of the largest-to-date GWASs of plasma protein. Five proteins (namely APOF, MAPRE1, GCKR, ATF6B, and PRSS8) were found to have high support for colocalization evidence with psoriasis (H4>0.8). Interestingly, two of them, namely APOF and PRSS8 with a high support for colocalization evidence with psoriasis, were detected in FinnGen and UK Biobank studies. Gene differentially expression analysis using bulk transcriptome data from 92 psoriatic and 82 normal punch biopsies revealed elevated PRSS8 expression was linked to an increased risk of psoriasis. Furthermore, single-cell RNA sequencing from 33 biopsy samples revealed that PRSS8 was higher expressed in psoriasis skin compared to healthy normal skin and psoriatic non-lesional skin in SERPINB4+ cells of the supraspinous layer of keratinocytes that were upregulated in psoriasis skin. Overall, our study revealed that PRSS8 may be prioritized as a potential psoriasis therapeutic target. These findings require additional research in both basic and clinical studies.
Magnetic Field Analysis and control of Levitated and drive forces of Linear Induction Motor
Authors: Shousha Hany Ibrahim , Hasan Ahmed , Nada Adel Sad
Published: August 2023

Through electromagnetic forces, linear electric (electromagnetic) machines (LEMs) enable the direct conversion of electrical energy to linear motion mechanical energy (or vice versa). In industry, linear motion is particularly prevalent. LEMs were created in the nineteenth century, but they weren't widely used in industry until 1960 since control required power electronics (in the absence of any mechanical transmission). However, LEMs require power electronics for linear position, speed, and/or force control in order to perform better than rotary electric motors with mechanical transmission. After 1960, LEMs have steadily improved. The levitation and drive forces in the two-phase Linear Induction Motor (LIM) is be controlled by changing the phase angle between two phases. This paper derives the flux density in the air gaps, the secondary current density, driving and levitating force density. The slotted stator is replaced in the model by a smooth surface stator having a continuous current sheet represented by the stator electric loading AS (x, t) = Re\(\left\{\sum _{\varvec{m}}{\underset{\_}{\varvec{A}}}_{\varvec{s}\varvec{m}}{\varvec{e}}^{\varvec{j}(\varvec{w}\varvec{t}-{\varvec{a}}_{\varvec{m}}\varvec{x})}\right\}\) . corresponding to a stator current Is flowing in the z-direction. The secondary current is assumed to be still flowing only in the z-direction. It closes its paths through the stator ends at both sides of the active length. Hence both the magnetic field intensity H and the magnetic flux density B have x-component and y-component. Average Force equations are derived by taking the summation of the force density over the secondary length using two-dimensional field analysis are used to simulate the performance of Linear Induction Motor. It is investigated the effects of phase angle change on the secondary current density, normal and on the tangential flux density components. Also, this phase shift effects are extended to include the two components of the force (Levitation and Driven). The calculations are performed and plotted by using MATLAB program.
Randomized ε-RANKING Algorithm for Online Trichromatic Matching
Authors: Pandya Komal , Maiti Abyayananda
Published: August 2023

We study a randomized 1/e-competitive ε-RANKING algorithm for the onlinetrichromatic matching problem. This problem involves finding matching in tripartite graphs having three disjoint sets of vertices. Our model encompasses a tripartite graph configuration, where an offline vertex set is an intermediary connecting two opposing sets. The vertices from the latter sets unfold online, arriving individually over time. ε-RANKING employs a randomization strategy where offline vertices are assigned random ranks between [0, 1]. It extends the idea of finding the lowest-ranked neighbor of the newly arrived online vertex presented by Karp et al. [1] in their RANKING algorithm. This approach exploits the principles of RANKING and matching from the domain of online bipartite matching to the more complex context of online trichromatic matching.
PSYCHOTIC MANIFESTATIONS AS THE FIRST PRESENTATION OF GRAVES DISEASE
Authors:   Faculty of Medicine and Pharmacy of Oujda (FMPO), Mohamed the First University, Morocco., Nsabi Farah ,   Research for Mental Health, University Psychiatric Hospital, Oujda, Morocco., Koubaa Ibtissam ,   Faculty of Medicine and Pharmacy of Oujda (FMPO), Mohamed the First University, Morocco.,   Research for Mental Health, University Psychiatric Hospital, Oujda, Morocco., Oneib Bouchra ,   Faculty of Medicine and Pharmacy of Oujda (FMPO), Mohamed the First University, Morocco.,   Research for Mental Health, University Psychiatric Hospital, Oujda, Morocco., El Ghazouani Fatima ,   Faculty of Medicine and Pharmacy of Oujda (FMPO), Mohamed the First University, Morocco.,   Research for Mental Health, University Psychiatric Hospital, Oujda, Morocco.
Published: August 2023

Graves disease is the most common cause of hyperthyroidism. Patients with Graves disease frequently manifest various psychiatric disorders however, very few reports have described psychotic disorders due to this disease. We report the case of a 42-year-old man with no prior psychiatric or thyroid dysfunction history, presenting apparent psychotic symptoms consisting of delusional ideas of persecution and a delusion of reference with a hallucinatory mechanism. A thyroid test is systematically requested, and fortuitous hyperthyroidism is discovered, followed by cervical ultrasound and autoimmune tests, which confirmed the diagnosis of Graves disease.
INFILTRATION ANAESTHESIA FOR TYMPANOPLASTY: A COMPARISON OF DEXMEDETOMIDINE AND CLONIDINE AS ADJUVANTS TO LIGNOCAINE AND ADRENALINE
Authors: Bhatia Upasna , A. Gajjar Vidhi , Vala Bhoomika , Sonagra Harshal , Patel Neha , Patel Yash , Gohil Aditiba
Published: August 2023

Background: For many decennia, local anaesthetics have been utilised for wound infiltration analgesia. Î± -2 Adrenoceptors as adjuvants have an advantageous effect in prolonging the time of peripheral nerve blocks is a locally mediated action and not replicated by given systemically. An increasing impact on lignocaine-induced suppression of the C-fibre action potential is thought to be the cause of its synergistic activity with lignocaine in extending the duration. we evaluated Dexmedetomidine and clonidine when administered with lignocaine during infiltration anaesthesia for tympanoplasty. Methodology: 50 patients of 18-60 years who were enrolled for tympanoplasty under local anaesthesia were arbitrarily split into two equal groups. 12 ml of 2% lignocaine with adrenaline + clonidine + 1 ug/kg were injected into Group C (n = 25), and 12 ml of 2% lignocaine with adrenaline + dexmedetomidine + 1 ug/kg were injected into Group D (n = 25). Hemodynamic parameters, sedation score, analgesia onset and duration, and bleeding severity were all chronicled. No differences in terms of analgesias onset, Boezaart score, or its impact on hemodynamic parameters were observed. Dexmedetomidine protracted the duration of postoperative analgesia 1183.2Â±343.59 min in comparison to clonidine 766.4Â±185.89min and with high sedation scores. Conclusions: Dexmedetomidine was found to be superior to clonidine when used as an adjuvant to local anaesthetic in infiltration anaesthesia for tympanoplasty, with no difference in terms of onset of analgesia, grade of bleeding, or hemodynamic parameters.
THE PREVALENCE OF DEPRESSION, ANXIETY AND STRESS AMONG ADOLESCENTS OF THE PRIMARY HEALTH CARE CENTERS OF NATIONAL GUARD HEALTH AFFAIRS IN JEDDAH, SAUDI ARABIA DURING COVID-19PANDEMIC
Authors:   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alahmadi Layan , Baabdullah Marwah ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alnouri Afnan ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alsiary Khulood ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia.,   King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia., Alzahrani Mahmoud ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia.,   King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia., Algarni Reem ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alharbi Abdulaziz ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Felimban Esraa ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alnouri Loai ,   King Abdulaziz University, College of Medicine, Jeddah, Saudi Arabia., Alahmadi Tuqa ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia., Alsaiari Turki ,   King Abdulaziz Medical City, Jeddah, Saudi Arabia.
Published: August 2023

Introduction:The coronavirus disease -19 (COVID-19) brought a huge impact on all aspects of humankind. Adolescence plays a significant role in a persons development. Being at this stage during the pandemic had several challenges, such as developing mental illnesses like depression, anxiety, and stress. Objectives:This study aimed to evaluate the psychological impact of the COVID-19 pandemic on adolescents, including depression, anxiety, and stress. Methods: This descriptive cross-sectional study was conducted on eligible adolescents following in the primary health care (PHC) centers of National Guard Health Affairs, Jeddah, Kingdom of Saudi Arabia. It included adolescents aged 10 to 24 years old. Excluded in this study are those that have known psychiatric illness, mental retardation, and developmental disease. Results: Depression was found to be significantly correlated to location, smoking, and having a family member diagnosed with mental illness at p-values of 0.024, 0.033, and 0.040, respectively. Anxiety was significantly correlated as well with location and friends diagnosed with mental illness at p-values of 0.045 and 0.024, respectively. The correlation between stress and the city where the patient lived, friends diagnosed with mental illness, and smoking were significant at p-values of 0.010, <0.001, and 0.003, respectively. Conclusion: Prolonged lockdowns and restrictions brought about by the pandemic have caused negative impacts on adolescents. Thus, these post-pandemic effects must be addressed to provide appropriate actions by healthcare organizations and the government.
LA BIODIVERSITE DES ARTHROPODES DE LA POMME DE TERRE (SOLANUM TUBEROSUM L.) DANS LES CONDITIONS DU CENTRE REGIONAL DE RECHERCHE AGRONOMIQUE (CRRA) DE SIKASSO/IER (MALI)
Authors:   Centre Regional de Recherche Agronomique (CRRA)de Sikasso/ IER (Mali)., Kone Siaka , Sanogo Fatogoma ,   Centre Regional de Recherche Agronomique (CRRA)de Sikasso/ IER (Mali)., Samake Karim ,   Cabinet dEtude, de Recherche, de Formation et dEquipement pour le Developpement de lAfrique Tropicale (CERFEDAT).
Published: August 2023

The potato has been produced in Mali for a long time, and its production and consumption have begun to play a major role in peoples lives. This crop deserves protection against certain crop pests and diseases. The aim of the study was to identify the main arthropods associated with potato cultivation, and to understand the temporal evolution of arthropods in the courtyard of the Regional Centre of AgronomicRecherchin Sikasso (CRRA). Delta Glu traps without apertures, magnifying glasses, tweezers and dabas were used. Observations began on February 23, 2023 and ended on April 5, 2023. The glue on the trap was periodically renewed according to its effectiveness. Diptera were the most important with around 770 individuals, followed by Homoptera (364) and Coleoptera. In the potato plot, Diptera were the most important (60%). Homoptera took second place with 20% of the total proportion, followed by Coleoptera (6%) and Hymenoptera (14%). Coleoptera, which follow Diptera in terms of numbers, show the same trends in evolution, with a peak on March 27 in the courtyard. Diptera evolution reached its highest level on February 20, 2023, and its lowest on April 25 and 29, 2023. Coleoptera and homoptera levels varied in a sawtooth pattern, with a constant presence from April 24 to the end of the study. Nezara spp. and whiteflies appeared on the 21st day after the plot was planted aphids and Rhyzoctonia on the 40th day. Odonates and ants were seen on the study site, but were not caught by the traps. Diptera and homoptera were just as important in the potato plot as in the yard.
Biochar and Hydrochar in the Development and Application of Electrochemical Devices in the Sensing and Degradation of Target Compounds: A Mini-Review of the Recent Contributions of 2020-2023
Authors: Silva Jonatas , Granja Honnara , dos Santos José , Freitas Lisiane , Sussuchi Eliana
Published: August 2023

In this review, we present the versatility of biomass and its derivatives obtained through thermal conversion processes (biochar and hydrochar) for applications in the development of electrochemical devices. This work highlights the generation of carbonaceous materials through pyrolysis and hydrothermal carbonization, in addition to proposing strategies to modify their physicochemical properties through activation methodologies to enhance their application as electrode materials. The processes of monitoring and degrading chemical species are discussed based on the diversity of electrodes that can be obtained with these bioderived coals, according to recent contributions available in the literature (2020-2023), which show the wide applicability of these materials in the field of electrochemistry
Finite element modeling of electric vehicle power battery pack and its influence analysis and test research at body-in-white stage
Authors: Wang Kefei , Shi Peicheng , Zhang Zhendong
Published: August 2023

Compared with the design of traditional fuel vehicles, the design of electric vehicles has its uniqueness, consisting mainly in that the body design must be able to adapt to the new power system and its layout. Power battery pack is an important factor affecting the body design of electric vehicles. In order to study the modeling of power battery packs and its impact on body performance, it was proposed to use the finite element method for modeling the power battery pack and analyzing its influence on the performance of the body-in-white. Based on a certain electric vehicle, the basic body-in-white model and the body-in-white model with the mass point addition and the refined model of the power battery pack were established, the static stiffness of the body-in-white simulation results of different models were compared and analyzed, and finally the effectiveness of the simulation model was verified through bench tests. Based on this effective model, the influence of the power battery pack on the modal and strength of the body-in-white was analyzed. The results show that the established refined model of the power battery pack has higher computational accuracy. Besides, the power battery pack can significantly increase the static stiffness of the electric vehicle body-in-white, effectively optimize the first-order torsion frequency and the first-order front cabin yaw frequency of the body-in-white, reduce the first-order bending frequency of the body-in-white, and greatly increase the risk of static strength failure of the body-in-white. In the setting of body performance goals and structural development, the influence of the power battery pack cannot be ignored.
On the influence of the cental trend on the nature of the density distribution of maximum entropy in machine learning
Authors:   Peter the Great St. Petersburg Polytechnic University, Kvasnov Anton V. , Baranenko Anatoliy A. ,   Military Educational and Scientific Center of the Navy “Naval Medical Academy” named after N. G. Kuznetsov, Butyrsky Evgeniy Y. ,   St. Petersburg State University, Zaranik Uliana P. ,   St. Petersburg State University
Published: August 2023

The principle of maximum entropy (ME) has a number of advantages that allow it to be used in machine learning. The density distribution of maximum entropy (WEO) requires solving the problem of calculus of variations on the a priori distribution, where the central tendency can be used as a parameter. In Lebesgue space, the central tendency is described by the generalized Gelder average. The paper shows the evolution of the density of the ME distribution depending on the given norm of the average. The minimum Kulback — Leibler divergence between the WEO and the a prior density is achieved at the harmonic mean, which is effective in reducing the dimensionality of the training sample. At the same time, this leads to a deterioration in the function of loss in the conditions of machine learning by precedents.