bluuebunny/crossref_metadata_2025 huggingface dataset:
¿Hacia dónde mirar?
Authors: Agreda Carbonell Silvia Alejandra
Published: October 2023

Somos cuerpos en trayectoria. Y nuestros movimientos dan cuenta de vivencias específicas, de los cambios en la sociedad y de cómo producimos y reproducimos cultura. Si bien en el Perú de los últimos 13 años —tomando como marco temporal el periodo operativo del Ministerio de Cultura— muchas medidas y estrategias han sido implementadas para el impulso de las artes escénicas, poco se ha hecho específicamente para la danza. En este artículo postulo que las lógicas y características que asociamos a la práctica de la danza escénica en el Perú están alineadas con la industria de la danza producida desde el norte global —valor económico, formas de trabajo, estrategias de gestión— y que no se ha llevado a cabo, aún, un análisis a profundidad sobre las maneras de crear, producir y participar en danza en nuestro país; maneras que permitan hacer lugar para el cuerpo globalizado, la creación colectiva y los pequeños formatos. Por ello, las políticas aplicadas para la danza no generan aún cambios sustanciales para el despegue del sector local, sino que siguen incidiendo en las problemáticas asociadas a las industrias culturales, y fortalecen la mirada occidental a los cuerpos del sur.
Joint Inversion of Gravity and Magnetic Anomalies to Image Salt–Basement Structures Offshore Abu Dhabi, UAE, Using Deep Neural Networks
Authors: Ashena Zahra , Kabirzadeh Hojjat , Kim Jeong Woo , Wang Xin , Ali Mohammed Y.
Published: October 2023

By using a deep neural network (DNN), a novel technique is developed for a 2.5D joint inversion of gravity and magnetic anomalies to model subsurface salts and basement structures. The joint application of gravity and magnetic anomalies addresses the inherent nonuniqueness problem of geophysical inversions. Moreover, DNN is used to conduct the nonlinear inverse mapping of gravity and magnetic anomalies to depth-to-salt and depth-to-basement. To create the training data set, a three-layer forward model of the subsurface is designed indicating sediments, salts, and the basement. The length and height of the model are determined based on the dimensions of the target area to be investigated. Several random parameters are set to create different representations of the forward model by altering the depth and shape of the layers. Given the topography of the salts and basement layers as well as their predefined density and susceptibility values, the gravity and magnetic anomalies of the forward models are calculated. Using multiprocessing algorithms, thousands of training examples are simulated comprising gravity and magnetic anomalies as input features and depth-to-salt and depth-to-basement as labels. The application of the proposed technique is evaluated to interpret the salt–basement structures over hydrocarbon reservoirs in offshore United Arab Emirates (UAE). Correspondingly, a DNN model is trained using the simulated data set of the target region and is assessed by making predictions on the random actual and noise-added synthetic data. Finally, gravity-magnetic anomalies are fed into the DNN inverse model to estimate the salts and basement structures over three profiles. The results proved the capability of our technique in modeling the subsurface structures.
Research on a Calculation Model of Cable Tension and Pumping Displacement of a Logging Tool String of Horizontal-Well Drillpipes
Authors: Mingjian Yuan , Liu Jun , Du Zhigang , Zhou Zhengzhi , Tang Kai
Published: October 2023

With the vigorous development of unconventional oil and gas reservoirs, logging technology of horizontal-well drillpipes has become increasingly important. The improper selection of displacement during the pumping of drilling rods into horizontal wells can lead to accidents such as cable entanglement or tool-string pump detachment. Based on a comprehensive consideration of multiple factors such as drillpipe joints, small gap flow, pressure loss along the pipe, temperature, pressure, tool-string passability, and waterhole diameter variation, a cable tension analysis model for a logging tool string of a horizontal-well drillpipe is established. This model can predict a reasonable pumping displacement by analyzing the tension in the entire wellbore section, thereby avoiding cable entanglement or even tool-string pump detachment accidents during downhole operation. To verify the effectiveness of the model, we analyzed the cable tension during logging operations in Wells M1 and M2 using on-site test data and compared them with the measured tension data. The determination coefficient (R2), mean absolute error (MAE), and root mean square error (RMSE) were used to evaluate the degree of fit and accuracy of the model. The experimental results showed that the model can accurately predict the pumping displacement range before logging operations, ensuring that the cable does not entangle and the tool string is not pumped out during the downhole operation, thus providing effective methods and theoretical guidance for on-site drilling rod-pumping logging operations.
Leaf spectroscopy measurements of eucalyptus leaves in the field
Authors: Younes Nicolas , Taylor Jackson , Cain Sophia
Published: October 2023

This protocol outlines a simple procedure for the measurement and calculation of reflectance and transmittance radiance of eucalyptus leaves in the field using a handheld spectrometer. This protocol is useful as it allows for rapid measurement of leaf optical properties which provide insights into a range of physical and biochemical traits. The procedure requires specialised equipment to be completed, but the procedure can be followed regardless of the brand of the instrument.
Design of Cellular Automata based Linear Rules in Multilingual Encryption for Performance Optimization in Wireless Network
Authors: BANERJEE AYAN , Kundu Anirban
Published: October 2023

Authors propose multilingual encryption framework to secure data. Proposed encryption framework should be used for network based data security and standalone data security. Cellular automata based state transition mapping is being applied on proposed framework for enhancing data security using minimum time. Multilingual data collected from different geographical locations, is required to measure the performance of proposed framework. Several encryption schemes have been executed for analyzing the superiority of multilingual encryption using encryption time, and code break complexity. Cellular Automata (CA) based approach is required in multilingual encryption framework to measure linear time complexity. Large dataset is required for computing encryption speed, encryption cycle, and processor time based on a particular hardware. Different keysets, key languages, and key lengths are required in proposed multilingual encryption framework to prepare an authenticated multilingual dataset for encryption in wireless network. Different sizes of encryption keys are required to perform state transition mapping in proposed framework for encrypting multilingual data. External attack analysis between existing encryption systems and multilingual encryption framework is established based on different key length. Comparative analysis between existing encryption systems and proposed CA based encryption scheme is established based on several characteristics.
Juvenile Idiopathic Recurrent Parotitis (JIRP) treated with short course steroids, a case series study and one decade follow up for potential autoimmune disorder
Authors: Salehzadeh Farhad , Molatefi Rasol , Mardi Ali , Nahanmoghaddam Negin
Published: October 2023

Background:
Juvenile idiopathic recurrent parotitis (JIRP) in children is a condition characterized with recurrent episodes of idiopathic parotid gland inflammation. Since there are no definitive guidelines for diagnosis and management of this condition, we determined to present a consecutive case series of patients with more than one decade follow up and their dramatic response to short course treatment by prednisolone.
Methods:
We conducted this study twenty years ago, however we retrospectively reviewed medical charts of children who were diagnosed with JIRP, from 1 January 2002 to 29 February 2023. We performed usual serological tests to exclude some possible background. We administered short course prednisolone on first day of episode as divided dosage (0.5 mg /kg).
Results:
In this case series 7 patients (70%) were male, median age of onset was 5 years, duration of episodes 5 days, and the course of disease were 3.8 years. The average follow up of patients was near 10 years. In comparison with their natural course of disease all patients showed a dramatic response to treatment on the first day of administration of prednisolone (P Value 0.005).During ten years follow up there was not any additional accompanying autoimmune disorder.
Conclusion:
Short course prednisolone on first day of each episodes and its dramatic and meaningful response in JIRP, introduce effective, fast, somehow safe, and inexpensive regimen of therapy in these patients.
Jaya Invasive Weed Optimization: An Algorithm to Solve Common Fixed Point Problems
Authors: RAMU Y
Published: October 2023

This study makes the first attempt to find a common fixed point of a system of nonlinear mappings, namely common fixed point problems(CFPs), using meta-heuristics. Invasive Weed Optimization(IWO) mimics the colonizing behaviour of weeds in crop fields. In IWO, each weed represents a solution, reproduces new seeds (offspring) based on their knowledge. In other words, there is no information-sharing among weeds in the reproduction process. It may cause premature convergence, trapping by local optima and slow convergence. A recent meta-heuristic Jaya algorithm(JAYA) is a powerful optimizer. It has high exploration and exploitation abilities in the search space due to the usage of random numbers and absolute values of the solutions in the updating process. Because of this affirmative feature, each candidate solution moves towards the best candidate solution and avoid moving towards the worst candidate solution. Therefore the hybridization of IWO and JAYA, in short, JAIWO, has been proposed to balance the exploration and exploitation of the search space while solving CFPs. To demonstrate the performance of the proposed JAIWO, four CFPs, formulated from unconstrained optimization benchmark problems, are taken into account, and the results obtained are compared with the results of the conventional IWO, JAYA and six other well known algorithms. The comparisons revealed that JAIWO outperforms the competitors for all considered problems.
Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation
Authors: Martinez-Trujillo Julio , Busch Alexandra , Roussy Megan , Luna Rogelio , Leavitt Matthew , Mofrad Maryam , Gulli Roberto , Corrigan Benjamin , Minac Jan , Sachs Adam , Palaniyappan Lena , Muller Lyle
Published: October 2023

The brain can maintain and flexibly manipulate complex visuospatial information ‘in mind’, an ability known as working memory. The neural codes underlying this function have been a matter of debate. We simultaneously recorded the activity of hundreds of neurons in the lateral prefrontal cortex of monkeys during a visuospatial working memory task that required navigation in a virtual 3D environment. During task trials, animals perceived the location of a transient visual cue, remembered that location for a few seconds, and finally navigated toward it using a joystick to collect a reward. We found time boundary neurons that transiently activated just before the beginning and end of the memory period. Moreover, distinct neuronal activation sequences encoded specific remembered target locations in the virtual 3D environment, as viewed from the subject’s own visual perspective. This sequence code outperformed persistent firing codes for the remembered location during the virtual reality task, but did not occur during a classical working memory task using stationary stimuli and homogeneous displays. Finally, blocking NMDA receptors using low doses of ketamine selectively deteriorated the sequence code during the working memory task. Our results reveal a novel mechanism, NMDA-dependent neural activation sequences, for encoding visuospatial working memory in complex naturalistic environments. They further reveal the versatility and adaptability of neural codes supporting working memory function in the primate lateral prefrontal cortex.
Iron Chelation Therapy Elicits Innate Immune Control of Metastatic Ovarian Cancer
Authors: Sandoval Tito A. , Chae Chang-Suk , Salvagno Camilla , Awasthi Deepika , Teran-Cabanillas Eli , Sierra Maria A. , Giovanelli Paolo , Falco Matias Marin , Suominen Lasse , Yamazaki Takahiro , Kuo Hui-Hsuan , Moyer Jenna , Martin M. Laura , Manohar Jyothi , Kim Kihwan , Ramos Yusibeska , Tan Chen , Emmanuelli Alexander , Song Minkyung , Morales Diana K. , Zamarin Dmitriy , Frey Melissa , Cantillo Evelyn , Chapman-Davis Eloise , Holcomb Kevin , Mason Christopher E. , Galuzzi Lorenzo , Vähärautio Anna , Cloonan Suzanne M. , Cubillos-Ruiz Juan R.
Published: October 2023

Iron accumulation in cancer cells contributes to malignant progression and chemoresistance. While disrupting this process can influence various hallmarks of cancer, the immunomodulatory effects of chelating iron in tumors remain undefined. Here, we report that treatment with deferiprone, an FDA-approved iron chelator, elicits innate immune responses that control metastatic ovarian cancer. Deferiprone reprogrammed ovarian cancer cells towards an immunostimulatory state characterized by enhanced production of type I interferon (IFN) and surface overexpression of molecules that activate natural killer (NK) cells. Mechanistically, this reprogramming was driven by innate sensing of mitochondrial DNA in the cytosol and concomitant activation of nuclear DNA damage responses evoked upon iron chelation. Deferiprone administration synergized with chemotherapy and prolonged the survival of mice bearing metastatic ovarian cancer by bolstering intratumoral NK cell infiltration and type I IFN responses. Iron chelation may represent an alternative immunotherapeutic approach for malignancies that are normally refractory to T cell-centric modalities.
Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network
Authors: Ende Maarten Willem Jan van den , Maas Han L. J. van der , Epskamp Sacha , Lees Mike H.
Published: October 2023

We use longitudinal social network data from the Framingham Heart Study to examine the extent to which alcohol consumption is influenced by the network structure. We assess the spread of alcohol use in a three-state SIS-type model, classifying individuals as abstainers, moderate drinkers, and heavy drinkers. We find that the use of three-states improves on the more canonical two-state classification, as the data show that all three states are highly stable and have different social dynamics. We show that when modelling the spread of alcohol use, it is important to model the topology of social interactions by incorporating the network structure. The population is not homogeneously mixed, and clustering is high with abstainers and heavy drinkers. We find that both abstainers and heavy drinkers have a strong influence on their social environment; for every heavy drinker and abstainer connection, the probability of a moderate drinker adopting their drinking behaviour increases by 40 and 18 percent, respectively. We also find that abstinent connections have a significant positive effect on heavy drinkers quitting drinking. Using simulations, we find that while both are effective, increasing the influence of abstainers appears to be the more effective intervention compared to reducing the influence of heavy drinkers.
Néel tensor torque at the ferromagnet/antiferromagnet interface
Authors: Lai Chih-Huang , Yang Chao-Yao , Chen Sheng-Huai , Tseng Chih-Hsiang , Kuo Chang-Yang , Lin Hsiu-Hau
Published: October 2023

Antiferromagnets (AFMs) exhibit spin arrangements with no net magnetization, positioning them as promising candidates for spintronics applications. While electrical manipulation of the single-crystal AFMs, composed of periodic spin configurations, is achieved recently, it remains a daunting challenge to characterize and to manipulate polycrystalline AFMs. Utilizing statistical analysis in data science, we demonstrate that polycrystalline AFMs can be described using a real, symmetric, positive semi-definite, rank-two tensor, which we term the ‘Néel tensor’. This tensor introduces a unique spin torque, diverging from the conventional field-like and Slonczewski torques in spintronics devices. Remarkably, Néel tensors can be trained to retain a specific orientation, functioning as a form of working memory. This attribute enables zero-field spin-orbit-torque (SOT) switching in trilayer devices featuring a heavy-metal/ferromagnet/AFM structure and is also consistent with the X-ray magnetic linear dichroism measurements. Our findings uncover hidden statistical patterns in polycrystalline AFMs and establishes the presence of Néel tensor torque, highlighting its potential to drive future spintronics innovations.
Evaluation of oral chemotherapeutic drug therapy managed jointly by oncologists and pharmacists
Authors: Xue Jing , Zhang Jianwei , Xie Xiaoyu , Li Xiaoyan
Published: October 2023

Objective:
To assess the need for medication therapy management(MTM) from an oncologist/pharmacist joint clinic for patients who self-administer oral chemotherapeutic drugs and to identify intervention programs for pharmacists.
Methods:
Eighty-three patients who received oral chemotherapy drugs and received medication therapy management(MTM) were assessed by follow-up for three months. Pharmacists reviewed drug indications, use and dosage, oral and written medication education, evaluation of drug interactions, management of adverse drug reactions, medication errors and compliance, improvement and resolution of adverse drug reactions, avoidance of medication errors, and correction of medication compliance.
Results:
There were 226 follow-up visits and 164 interventions. The management of adverse drug reactions was the most important intervention. There were 655 adverse drug reactions, of which 104 were addressed by intervention and 80 were alleviated or resolved. Eighteen drug interactions were identified, 11 of which were serious drug-drug interactions. Seven medication errors were corrected. Twenty-seven items of medication compliance were managed.
Conclusions：
Patients who were receiving oral chemotherapy drugs within the standard of care needed additional support, and the medication therapy management(MTM) by pharmacists in the combined oncologist-pharmacist outpatient model could partly meet this need. Early medication therapy management(MTM) interventions may reduce the severity of adverse events, and late medication therapy management(MTM) interventions suggest the need for long-term follow-up management. Further analysis of the cost savings and cost avoidance of pharmacist intervention is necessary to justify the implementation of joint oncologist and pharmacist clinics.
Process parameters simulation and analysis of a new reactor for high temperature MOCVD AlGaN growth
Authors: An Jiadai , Dai Xianying , Liu Ying , Huang Kama , Zhang Dengke
Published: October 2023

Commercially, metal organic chemical vapor deposition (MOCVD) is a typical and effective approach to the AlGaN film growth. It is believed that high temperature growth condition is favorable for improving efficiency and crystallization quality for the film. However, problems such as low growth rate and poor crystallization quality are common in the growing process. Considering the process conditions, such as operating pressure, gas flow rate and rotation speed, and to ensure the uniformity of growth rate and substrate thickness, a new high-temperature reactor is proposed in this paper. The process parameters were optimized by CFD simulation and the finite element analysis was conducted on the temperature field, pressure field, velocity field, density field and other physical fields. These conditions make the flow field in the reactor stable and ensure the thickness uniformity of the deposited films. These research not only provide an effective solution for high quality MOCVD AlGaN growth, but also provide a theoretical basis for experiments and equipment improvement that follows.
Strain to shine: stretching-induced three-dimensional colloidal lattice transformations and optical transitions
Authors: Zhao Qibin , An Tong , Jiang Xinyu , Gao Feng , Schäfer Christian , Qiu Junjun , Nan Shi , Song Xiaokun , Zhang Manyao , Finlayson Chris , Zheng Xuezhi , Li Xiuhong , Tian Feng , Zhu Bin , Sui Tan , Han Xianhong , Baumberg Jeremy , Fan Tongxiang
Published: October 2023

Combining three-dimensional colloidal lattices with soft polymer matrices imbues these materials with strain resilience and responsive properties1–4, holding promise for various applications5,6. Understanding how they deform under strain is crucial, yet current knowledge is confined to one- or two-dimensional simplifications7–9. Here we provide three-dimensional analytical models and experimental results for colloidal-assembled polymeric opals with close-packed lattices subjected to uniaxial stretching. By extending the investigation to strains of up to 200%, we elucidate distinct deformation principles and pathways for three-dimensional elastic colloidal lattices, contrasting with those of atomic lattices. We detail the evolution of lattice transformations and optical transitions that occur during material stretching in distinct directions, presenting an unprecedented narrative from a three-dimensional perspective. The stretched lattices display unusual optical properties exclusive to three-dimensional structures. Notably, stretching beyond a critical 40% strain threshold in particular directions reveals previously hidden Bragg reflections inside the opals, resulting in retro-reflective colours that are far brighter than surface diffraction, surpassing their original bandgap limit. We stretch green opals to show red and redshift colours when tilted. Our findings revolutionize the transformative mechanics in elastic colloidal lattices, showcasing a new route to achieve exceptional performance and novel structures with controlled lattice transformations10,11.
Does Increased Muscle Mass Associate with Reduced Small Cell Lung Cancer Risk? Evidence from a Mendelian Randomization Study
Authors: Chen Xinqiao , Li Li , Song Wei , Lu Jin , Chen Naifei , Li Junxin , Liu Xiangliang , Chen Xiao , Cui Jiuwei
Published: October 2023

Observational studies suggest an association between reduced appendicular lean mass and increased lung cancer risk, but confounding biases exist. This study aimed to investigate the causal relationship between appendicular lean mass and small cell lung cancer risk using Mendelian randomization analysis. A two-sample Mendelian randomization study was conducted using summary-level data from genome-wide association studies on appendicular lean mass (205,513 Europeans) as exposure and small cell lung cancer (174,006 Europeans) as the outcome. 251 genetic variants robustly associated with appendicular lean mass were selected as instrumental variables. Inverse-variance weighted, MR-Egger regression, and other methods were used to estimate causality. The inverse-variance weighted method provided evidence for a causal association between increased appendicular lean mass and reduced small cell lung cancer risk (OR 0.530, 95% CI 0.305–0.923, P = 0.026). Sensitivity analyses indicated no pleiotropy or heterogeneity. Increased appendicular lean mass appears causally associated with reduced small cell lung cancer risk, adding credibility to previous observational evidence. These findings provide preliminary insight into lung cancer pathogenesis and prevention from a nutritional and metabolic perspective. Further research is warranted to elucidate underlying mechanisms.
Hexane extract of Persea Schiedeana Ness as green corrosion inhibitor for the brass immersed in 0.5 M HCl
Authors: BustosRivera-Bahena Genoveva , Ramírez-Arteaga A. M. , Saldarriaga-Noreña Hugo A. , Larios-Gálvez A.K. , González-Rodríguez José G. , Romero-Aguilar M. , López-Sesenes R.
Published: October 2023

The hexane extract of Persea Schiedeana Ness (PSN) was analyzed as corrosion inhibitor for the brass surface immersed in 0.5 M HCl. Fourier-transform infrared spectroscopy and a gas chromatographic (GC) and mass spectrometric (MS) were used to identify the PSN extract´s functional groups and compound constituents. The functional groups identified were CH3 and CH2 functional alkyl groups, C = O stretching vibration of aldehydes, ketones, and carbonyl groups found in flavonoids and fatty acids. The GC-MS determined the presence of fatty acids in the PSN extract, where palmitic acid, oleic acid, and ethyl oleate were the major constituents. Electrochemical characterizations were conducted to observe the effect of the hexane extract of PSN as corrosion inhibitor on the brass surface. The Rp and Rn calculated from EIS and ENA give the same behavior with magnitude values near each one. Based on the OCP behavior, it was determined that the PSN works as a mix inhibitor affecting both anodic and cathodic reactions. The corrosion current density (Icorr) determined with the Potentiodynamic test suggests that the extract of PSN reduces the corrosion rate of the brass with efficiencies above 90% for all concentrations. The efficiency obtained for each PSN concentration was attributed to forming a corrosion scale of CuO and Cu2O, which reacted with the carboxyl group to form copper carboxylates on the metal surface.
Knowledge, attitudes and practices regarding antibiotic use and resistance among pharmacists in the Banadir region of Mogadishu Somalia
Authors: Mohamed Mohamed Abdelrahman , Tahlil Abdullahi Ahmed , Osman Marian Muse , Gedi Saido , Ali Bisma , Muhumed Mukhtar Bulale , Mohamed Ahmed Adam , Fiidow Osman Abubakar , Abatcha Mustapha Goni , Osman Abdinasir Yusuf , Ahmed Abdifatah Diriye
Published: October 2023

Background
Globally, antibiotic resistance poses a public health concern and adversely impacts treatment, elevates mortality risk, prolongs morbidity, and extends hospital stays and healthcare costs. Dispensing antibiotics without prescriptions contributes to this issue, with pharmacists playing a crucial role in ensuring safe antibiotic use.
Methods
The purpose of the study was to evaluate pharmacists' knowledge, attitudes, and practices regarding antibiotic use and antibiotic resistance in Mogadishu, Somalia, from January to March 2023. The pharmacists in Mogadishu, Somalia, were recruited from January to March 2023 using a self-administered questionnaire that was pilot-tested by health professionals who approached all pharmacies in each of the 18 districts. Respondents were selected by a convenience sampling method. The data were analysed using the Statistical Package for Social Science (SPSS).
Results
Out of 410 participants, 81 (90.2%) were male, and the majority of the respondents, 275 (67%), were within the age group of 19–29 years.A total of 334(81.5%) of the participants had a bachelor's degree. Only 81 (19.8%) of the participants studied pharmacy. Regarding the overall knowledge of antibiotic use and resistance, 283 (69%) of the respondents had good knowledge. In addition, 195 (47.6%) of the participants also reported having an inadequate attitude. Moreover, inadequate practices related to the use of antibiotics were also reported among 198 (48.3%) of the participants.
Conclusion
It is the first study to examine knowledge, attitudes, and practices concerning antibiotic use and antibiotic resistance in Mogadishu. The results of this study indicated that pharmacists in Mogadishu had good knowledge, but a poor attitude and practice regarding the use of antibiotics and the development of antibiotic resistance. In order to control antibiotic resistance and improve antibiotic use in Somalia, pharmacists must be trained and made aware of the importance of antimicrobial stewardship and antimicrobial resistance.
Hydrochemical Characteristics Assessment of Groundwater Quality, Mathura District, Uttar Pradesh, India
Authors: Kushwah Vinod Kumar , Singh Kunwar Raghvendra
Published: October 2023

In this research, the quality of the groundwater was investigated in the surrounding areas of Mathura city, India. Piper diagrams were used to identify hydrochemical facies and chemical datasets were also employed in different mathematical calculations (SAR, %Na, and USSL diagrams) to determine acceptable quality of drinking consumption and irrigation use of groundwater in the Mathura region was. Multivariate statistical methods such as Discriminant analysis (DA) Cluster analysis (CA) and applied for the observed datasets collected from Goverdhan, Radhakund, Barsana, Nandgoan, Kosikalan, and Chaumuhan. 19 different groundwater sampling sites—including hand pumps, tube wells, and borings were collected and analyzed. Analysis of 18 distinct groundwater quality indicators, including Temperature (T), pH, turbidity (tur), Electrical conductivity (EC), etc. The Piper diagram's conclusion shows that the main ions Na+, K+, SO42−, Cl− predominate whereas ion like Ca2+, Mg2+, HCO3− are significantly unsuitable. Most of the groundwater samples fall in the category of C4S4 based on USSL diagram, which denotes high sodium and salinity water. Most of the sampling locations had SAR and %Na values that are above the permitted limit, so requiring a suitable drainage and water management plan for the research region. Cluster analysis grouped nineteen sampling locations into 3 clusters based on group of similarities of the characteristics they possess. The first, second and third clusters represented moderately polluted, more polluted sites and less polluted sites. Water quality metrics provided 100% accurate assignments because of DA which aid in evaluating the variables that differentiate the perceived groups.
A Systematic Review on Airlines Industries based on Sentiment Analysis and Topic Modeling
Authors: Ha Khan Md , Naseem Usman , Keya Ashfia Jannat , Maitra Shithi , Mithu Kamruzzaman , Alam Md. Golam Rabiul
Published: October 2023

One of the most important things that managers need is feedback from customers about the quality of the products and services their firms offer. Getting feedback from customers is now typically done via online channels including social media, instant messaging, and review websites. However, due to the massive volume, a powerful tool is required for processing the data received from various sources. Sentiment analysis is a form of NLP that can instantly determine if a user is feeling positive, negative, or neutral towards a given topic. The researcher uses topic modeling to iteratively pick a subset of topics that best describes the whole. Many studies, some using topic modeling, have been conducted on the topic of the airline business over the past few years, with the majority of them focusing on sentiment analysis in a particular area or region. This article provides a comprehensive study of the airline industry in terms of sentiment analysis and topic modeling using machine learning and deep learning techniques so that customers may learn more about the most reputable and convenient airlines in the world. In this review paper, we enlisted overall 84 articles in different years and provide a statistical analysis of 60 articles based on sentiment analysis and topic modeling focusing on different types of machine learning and deep learning. The most important tasks involved in sentiment analysis of airline industries are discussed, and it is determined that sentiment analysis may be performed on various languages. In addition, a summary of popular datasets, essential characteristics of those datasets, machine learning and deep learning models applied to those datasets, accuracy acquired from those datasets, and a comparison of different machine and deep learning models are included in the survey. The fundamental objective of this study is to draw attention to the efficacy of machine and deep learning architectures in solving issues of various airline industries involving sentiment analysis and topic modeling.
Effect of sanitary and phytosanitary measures on cocoa exports : does the quality of governance matter ?
Authors: NGATSI Eric Brice FOSSO
Published: October 2023

This paper contributes to the ongoing debate on the effects of institutional differences and sanitary and phytosanitary (SPS) measures on agricultural exports. Specifically, we first assess the effects of SPS measures and governance quality on cocoa exports. We then analyse how governance quality, measured by governance distance, modifies the effect of SPS measures on cocoa exports. The empirical analysis is conducted by applying Poisson Pseudo-Maximum Likelihood (PPML) and Heckman estimators to a gravity model on a panel of cocoa importing countries from the world's top 10 producers. Our results show that an increase in SPS measures reduces cocoa exports. Similarly, an increase in bilateral governance distance reduces cocoa exports. Furthermore, the interaction between governance distance and SPS measures is positively correlated with cocoa exports. This means that the quality of governance reduces the impact of SPS measures on cocoa exports. Cocoa producing countries targeting markets in developed countries, which are considered to be high value-added markets, but located in countries with low institutional quality, need to increase their level of compliance with SPS measures according to the requirements of importing countries.
Parent-Child Relationship Measures and Pre-Post Treatment Changes for a Clinical Preschool Sample Using DC:0-3R
Authors: Baans Nicole Elli Ursula , Janßen Marius , Müller Jörg Michael
Published: October 2023

Background
To reduce psychopathologies in children, various treatment approaches focus on the parent-child relationship. Disruptions in the parent-child relationship are outlined in the most recently revised versions of the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-3R/DC:0–5). The measures used to assess the parent-child relationship include the Parent-Infant Relationship Global Assessment Scale (PIRGAS) and the Relationship Problems Checklist (RPCL), which cover, e.g., essential concepts like over- or underinvolvement of the caregiver. However, not much is known about the cross-sectional and predictive value of PIRGAS and RPCL scores at admission to discharge, namely whether changes in these scores are correlated with child and maternal psychopathologies and changes through treatment.
Methods
Based on clinical records of 174 preschool-aged children of the Family Day Hospital, we report related basic descriptive data and changes from admission to discharge for the parent-child relationship, child behaviour, and maternal psychopathology. We used a Pearson correlation or a point-biserial correlation to describe the associations and performed a paired t-test to examine differences before and after measurement.
Results
Our results show overall improvements in our parent-child relationship measures and in child and maternal psychopathology. However, we observed little or no correlation between the parent-child relationship measures and child or maternal psychopathology.
Conclusions
We highlight potential drawbacks and limitations of the two relationship measures used that may explain the results of this study on the associations between the variables assessed. The discussion emphasizes the assessment of DC:0-3R/DC:0–5, which are popular in clinical practice for economic reasons.
Geodetically convex sets in the Heisenberg group Hn, n ≥ 1
Authors: Prajapat Jyotshana V. , Varghese Anoop
Published: October 2023

A geodetically convex set in the Heisenberg group Hn, n ≥ 1 is defined to be a set with the property that a geodesic joining any two points in the set lies completely in it. Here we classify the geodetically convex sets to be either an empty set, a singleton set, an arc of a geodesic or the whole space Hn. We also show that a geodetically convex function on Hn is a constant function. These results generalize the known results of H1 to higher dimensional Heisenberg group.
Deep learning assisted identification of ATP5J and ALDH1A2 combination in RNA-sequencing data as a novel specific potential diagnostic biomarker in prostate cancer
Authors: Sokhangouy Saeideh Khorshid , Zeinali Mohsen , Nazari Elham
Published: October 2023

Prostate cancer is ranked as the second most prevalent disease among men globally. The timely diagnosis of this cancer is crucial in reducing morbidity rates. Unfortunately, due to the limitations of current diagnostic methods, which often lack specificity and accuracy, prostate cancer is frequently diagnosed at advanced stages, leading to less effective treatment strategies. Therefore, our primary objective was to identify valuable diagnostic biomarkers through the application of bioinformatics and artificial intelligence. To achieve this goal, we utilized three prostate cancer expression datasets, aiming to pinpoint differentially expressed genes (DEGs) associated with prostate cancer. Subsequently, we harnessed deep learning, a subset of artificial intelligence, to unveil the most significant genes from the pool of 3875 common DEGs implicated in prostate cancer's pathogenesis. The deep learning model's performance was evaluated using six key metrics: Mean Squared Error (MSE) with a value of 0.03, R-squared (R²) at 0.83, Area Under the Curve (AUC) of 0.97, Accuracy at 87.7%, Root Mean Squared Error (RMSE) of 0.18, and Precision-Recall AUC (PR-AUC) at 0.93, demonstrating the model's exceptional performance. Furthermore, gene enrichment analysis shed light on ten candidate genes with pivotal roles in prostate cancer development. Additionally, Protein-Protein Interaction (PPI) network analysis revealed ATP5J, GJA1, AMACR, and B3GAT1 as hub genes, with AMACR and B3GAT1 exhibiting an intriguing interaction. Further validation through Receiver Operating Characteristic (ROC) analysis of the ten key genes identified by deep learning unveiled ATP5J, ALDH1A2, and AMACR as promising diagnostic biomarkers for prostate cancer. Notably, the combined use of ATP5J and ALDH1A2 demonstrated remarkable accuracy, with an accuracy rate of 0.75, sensitivity of 0.73, and specificity of 0.71, comparable to common prostate cancer diagnostic biomarkers such as PSA, PCA3, and PHI. The validation of these biomarkers in prostate cancer was carried out using the PCaDB database, lending support to the potential clinical utility of these markers. In conclusion, our findings underscore the importance of further research and validation to establish the clinical applicability of ATP5J and ALDH1A2 as promising diagnostic biomarkers for prostate cancer, offering a potential breakthrough in early detection and more effective management of this prevalent disease.
WITHDRAWN: The evaluation of monthly precipitation and average temperature by using innovative graphical and statistical trend approaches: Palu station example
Authors: Acar Ramazan
Published: October 2023

Climate change occurring worldwide due to global warming affects rainfall, flow, humidity and temperature, etc. in many regions. It has begun to significantly change the regimes of hydro-meteorological parameters. It is extremely important to analyze the future changes of these parameters, which significantly affect the management of water resources, ecosystems and agricultural activities. In this study, the temporal variability of monthly total precipitation (1965–2012) and monthly average temperature (1965–2020) data of Palu station located within the borders of Elazığ province in Turkey was investigated. Mann-Kendall (MK) and Spearman's Rho (SR) test statistics were used to statistically determine the trends of temperature and precipitation data. In addition to these methods, analyzes were carried out with three innovative trend methods that are capable of interpreting trends both statistically and visually. These innovative trend methods are Innovative Polygon Trend Analysis (IPTA), Innovative Şen Test (Şen-ITA) and trend analysis with the combination of Wilcoxon test and scatter diagram (CWTSD). In addition, precipitation and temperature data were subjected to regression analysis separately and sets of equations were obtained and the decrease-increase amounts were determined in mm and ⸰C. In particular, the IPTA method was applied separately for the arithmetic mean and standard deviation, and the transitions between the increasing and decreasing regions of the trends on a monthly basis were determined and the slopes and lengths of the trends resulting from these transitions were calculated. With the application of the IPTA method, an increasing trend in some months and a decreasing trend in other months were detected for the two parameters. In addition, when the results of precipitation and temperature data were examined, it was seen that there was no single or regular polygon in the IPTA graphs, so both parameters varied over the years and did not exhibit a homogeneous behavior. In the MK test, SR test, Wilcoxon test statistics, Şen-ITA and NO-ITA methods, apart from some months in which increasing and decreasing trends were detected, months in which no trend could be detected, that is, there was no trend, were also observed. When the results obtained from the analysis of two parameters from the relatively new CWTSD method are examined, they show strong consistency with the results of the MK test, SR test and Şen-ITA methods. Advantages such as performing numerical and visual trend analysis with the CWTSD method and determining the trends of data with low-medium-high values have shown that this method can be used as an alternative to the MK test, SR test and Şen-ITA methods that are widely used in the literature. Finally, the IPTA method was evaluated to be more sensitive in determining trends on a monthly basis compared to other methods used in the study..
Comparative analysis of detected ionospheric anomalies with earthquake magnitudes: A case study of the earthquakes of March 4, 2021.
Authors: Thomas Jewel E. , Nathaniel Ekong U. , George Nyakno J. , Ekanem Aniekan M. , Akpan Samuel S.
Published: October 2023

Comparative analysis of detected ionospheric anomalies with earthquake magnitudes was carried out on two seismic events of March 4, 2021, ( M7.3 Gisborne and M8.1 Kermadec Earthquakes) to establish the link between observed perturbations and event size. GPS-TEC data were downloaded 20 days pro and 5 days post the events from stations within the epicenter of respective earthquakes. The data were statistically analyzed to detect unusual variations within the investigative window. The investigation revealed that the M7.3 Gisborne EQ recorded two variations on -19 and -4 days; both being positive perturbations. However, five anomalies were detected for the M8.1 Kermadec EQ on -15, -11, -5, -3 and -2 days. With exception of the irregularities on -3 days, all others were positive anomalies. The observed anomalies were subjected to further scrutiny using the geomagnetic indices of Kernnifzer digit (kp) and disturbance storm time (Dst.) for geomagnetically induced perturbations while sunspot number and F10.7cm were to monitor solar activities within this same period. Gisborne EQ measured 100% seismo-induced variations while Kermadec EQ had 80% seismogenic anomalies. The study clearly showed an increased in detected anomalies with earthquake magnitudes.
Berufliche Situation von Hochbegabten
Authors:   , Schlegler Maren
Published: October 2023

Intelligenz ist einer der stärksten Einzelprädikatoren für berufliche Leistungen. Hochintelligente Personen, sogenannte Hochbegabte, müssten daher generell hohe berufliche Leistungen erbringen. Dies steht jedoch im Widerspruch zu Darstellungen von Schwierigkeiten Hochbegabter im Beruf. Sollten die negativen Stereotype zutreffen, wäre dies aus ressourcenorientierter Sicht problematisch, da Organisationen das der Hochbegabung zugrunde liegende Potenzial der Mitarbeiter*innen nicht hinreichend nutzen. Die vorliegende Arbeit leistet einen Beitrag dazu, diese Diskrepanz aufzuklären, indem sie untersucht wie Hochbegabte ihre berufliche Situation (erfolgreich) gestalten. Nach einer Begriffsklärung und Darstellung des Zusammenhangs von Intelligenz und Beruf wird im ersten Beitrag der internationale Forschungsstand mithilfe eines Literature Reviews systematisiert. Aufbauend darauf werden im zweiten Beitrag mithilfe einer Fragebogenerhebung die überwiegend internationalen Beiträge durch eine deutsche Stichprobe und die bisher wenig betrachtete Gruppe von Hochbegabten gemäß Kompetenzdefinition ergänzt. Schließlich fokussiert der dritte Beitrag den Widerspruch, dass Hochbegabte generell erfolgreich und zufrieden im Beruf sind, jedoch individuell von Schwierigkeiten berichten. Dazu werden teilstrukturierte Interviews durchgeführt, um ein tieferes Verständnis für den Einfluss der Hochbegabung auf den Beruf sowie etwaige bestehende Unterschiede zu nicht-hochbegabten Personen zu gewinnen. Zudem werden Strategien erfasst, die Hochbegabte nutzen, um Unterschiede und eventuell daraus resultierende Schwierigkeiten zu bewältigen. Abschließend werden Implikationen für die Berufspraxis und Forschung diskutiert.
Incentivando comportamentos saudáveis entre pessoas com hipertensão arterial no contexto da pandemia de Covid-19: um relato de experiência
Authors: SILVA Louyse Victória Ferreira da , SOARES Maysa Severo , SANTOS Joelma Silva , VIEIRA Gerson Carvalho , ARAÚJO Beatriz da Silva , SILVA Morgana Gonçalves da , ALMEIDA Taciana da Costa Farias
Published: October 2023

Este estudo objetivou relatar a experiência de estudantes de enfermagem na condução de um grupo no WhatsApp para motivar comportamentos saudáveis e adesão ao tratamento, entre pessoas com hipertensão arterial, durante a pandemia da Covid-19. Essa experiência desenvolveu-se entre julho e dezembro de 2021. Em um grupo da rede social, enviaram-se imagens, vídeos e áudios, sobre hábitos saudáveis e diferentes aspectos relativos à hipertensão arterial. A cada 15 dias ocorriam encontros via Google Meet, com duração média de 40 minutos. Participaram do projeto de extensão 23 pessoas diagnosticadas com hipertensão arterial. Destes, 20 (87%) eram do sexo biológico feminino e três (13%) do sexo biológico masculino. As reuniões on-line e os envios de informações, que aconteceram por meio de plataformas digitais, foram consideradas importantes ferramentas usadas pela equipe para continuidade aos cuidados de educação em saúde, o qual pode ser intensificado na atualidade.