bluuebunny/crossref_metadata_2025 huggingface dataset:
Figure S1 from EZH2 Is Overexpressed in BRCA1-like Breast Tumors and Predictive for Sensitivity to High-Dose Platinum-Based Chemotherapy
Authors: Puppe Julian , Opdam Mark , Schouten Philip C. , Jóźwiak Katarzyna , Lips Esther , Severson Tesa , van de Ven Marieke , Brambillasca Chiara , Bouwman Peter , van Tellingen Olaf , Bernards René , Wesseling Jelle , Eichler Christian , Thangarajah Fabinshy , Malter Wolfram , Pandey Gaurav Kumar , Ozretić Luka , Caldas Carlos , van Lohuizen Maarten , Hauptmann Michael , Rhiem Kerstin , Hahnen Eric , Reinhardt H. Christian , Büttner Reinhard , Mallmann Peter , Schömig-Markiefka Birgid , Schmutzler Rita , Linn Sabine , Jonkers Jos
Published: April 2023

Immunohistological stainings of breast tumors for EZH2 (representative examples of used antibodies)
Supplemental Table 2 from Prospective Genotyping of Hepatocellular Carcinoma: Clinical Implications of Next-Generation Sequencing for Matching Patients to Targeted and Immune Therapies
Authors: Harding James J. , Nandakumar Subhiksha , Armenia Joshua , Khalil Danny N. , Albano Melanie , Ly Michele , Shia Jinru , Hechtman Jaclyn F. , Kundra Ritika , El Dika Imane , Do Richard K. , Sun Yichao , Kingham T. Peter , D'Angelica Michael I. , Berger Michael F. , Hyman David M. , Jarnagin William , Klimstra David S. , Janjigian Yelena Y. , Solit David B. , Schultz Nikolaus , Abou-Alfa Ghassan K.
Published: April 2023

MSK cohort compared to TCGA
Table S1 from Evolutionary Routes in Metastatic Uveal Melanomas Depend on MBD4 Alterations
Authors: Rodrigues Manuel , Mobuchon Lenha , Houy Alexandre , Alsafadi Samar , Baulande Sylvain , Mariani Odette , Marande Benjamin , Ait Rais Khadija , Van der Kooij Monique K. , Kapiteijn Ellen , Gassama Sieta , Gardrat Sophie , Barnhill Raymond L. , Servois Vincent , Dendale Rémi , Putterman Marc , Tick Sarah , Piperno-Neumann Sophie , Cassoux Nathalie , Pierron Gaëlle , Waterfall Joshua J. , Roman-Roman Sergio , Mariani Pascale , Stern Marc-Henri
Published: April 2023

Supplementary Table 1: Patients and tumors characteristics
Analysis of single-phase cascaded H-bridge multilevel inverters under variable power conditions
Authors: Chinnamuthu Subramani , Balan Vinothkumar , Vaidyanathan Krithika , Chinnaiyan Vimala , Santhanamari Premalatha
Published: April 2023

Easy modular I action is one of the benefits of a cascaded H-bridge (CHB) inverter. This study proposes an only one multilevel inverter comes with a unique H-bridge unit. The structure of the proposed topology is then enhanced in order to make use of switching devices and DC-link voltage inputs while creating a massive number of voltage steps. A cooperative active and reactive power control strategy is offered to earn a better real and reactive power management for every DC voltage source of a photovoltaic (PV) module, as well as boost systems power quality and reliability. A unique control approach and proportional pulse width modulation (PWM) modulation are described for the cascaded H-bridge multilevel inverters for grid-connected systems. Each Hbridge module can give different power levels thanks to this control. To supply the DC source, use the system's proportional, integral and derivative (PID) controller. The functionality and achievements of the proposed scheme with its associated algorithms in production of all operating voltage have been proven using experimental data from a nine-level single-phase inverter. Finally, to construct a cascaded H-bridge nine-level inverter, the proposed control strategy is developed and implemented in MATLAB software.
Formalization of risk management in the context of digital business transformation
Authors: Kairat Koshekov , Karlygash Alibekkyzy , Beglan Toiganbayev , Saule Belginova , Talshyn Keribayeva , Viktor Tulaev , Abai Koshekov
Published: April 2023

The aim of the article is to develop a formal methodology for quantitative assessment of the quality of аcontrol in a closed system with feedback in the context of digital transformation. In the proposed study, attention is focused on assessing the quality of management in organizational and technical systems on the example of the aviation industry. The following hypotheses were adopted in the study: in the digital management of business processes of an economic entity, the role of intellectual support is acquired by methods of formal description of processes: control, decision-making and corrective action on the control object. In critical situations, the psychotype of the person making the decision acquires a decisive role. The study solves two scientific and practical problems: development of a formal method for quantitative assessment of the quality of management of a complex multi-criteria organizational and technical system under the conditions of statistical uncertainty of management agents, taking into account feedback in the management of an object; formalization of the process of quantitative assessment of decision-making risks in the environment of statistical uncertainty of control agents and psychological factors of the decision maker.
Emotions recognition from human facial images based on fast learning network
Authors: Alsemawi Majid Razaq Mohamed , Mutar Mohammed Hasan , Ahmed Essam Hammodi , Hanoosh Hatem Oday , Abbas Ali Hashim
Published: April 2023

Systems of facial emotion recognition have witnessed a high significance in the research field. The face emotions are based on human facial expressions which play a crucial role in silent communication. Machine learning algorithms have widely used in systems of human facial emotion detection from images. However, many systems suffer from low accuracy rate. In this paper, we present a system of facial emotion recognition by using images. In this proposed system, the samples of facial emotions have taken from Yale Face database. In addition, the histograms of oriented gradients (HOG) is used to extract features from the images. The extracted features will feed the fast learning network (FLN) algorithm for the classification part to identify the images of facial emotions with respect to their subjects. Many evaluation measurements have used to evaluate the performance of the proposed system. Based on the results of the experiment, the proposed system achieves 95.04% for the highest accuracy, 72.73% precision. Also, the results of the proposed system in terms of recall, f-measure, and G-main are all equal to 72.73%, respectively.
Gaussian kernelized feature selection and improved multilayer perceptive deep learning classifier for software fault prediction
Authors: Sivavelu Sureka , Palanisamy Venkatesh
Published: April 2023

Software fault prediction is the significant process of identifying the errors or defects or faults in a software product. But, accurate and timely detection is the major challenging issue in different existing approaches to predicting software defects. A novel Gaussian linear feature embedding-based statistical test piecewise multilayer perceptive deep learning classifier (GLFE-STPMPDLC) is introduced to improve software fault prediction accuracy and minimize time consumption. First, the input data are collected from the dataset. Next, the software metrics selection is carried out to select the significant metrics using Gaussian kernelized locally linear embedding with lesser software fault prediction. Then classification is carried out by Kaiser Meyer piecewise multilayer perceptive deep learning classifier for software fault prediction. The novelty of Kaiser–Meyer–Olkin (KMO) correlation test analyzes testing and training instances. The innovation of the Heaviside step activation function is applied for analyzing the KMO correlation test results and providing the final software fault prediction results. Finally, accurate fault prediction outcomes are achieved at the output layer with lesser error. Simulation of proposed GLFE-STPMPDLC technique achieves better 5%, 3%, 3% and 3% enhancement of fault prediction accuracy, precision, recall, and f-measure and 13% faster prediction time compared to conventional methods.
A comprehensive survey on blockchain-based healthcare industry: applications and challenges
Authors: Ait Bennacer Sara , Sabiri Khadija , Aaroud Abdessadek , Akodadi Khalid , Cherradi Bouchaib
Published: April 2023

Blockchain has attracted a lot of interest since its publication because to its unique characteristics of immutability, decentralization, smart contract, and consensus mechanism. Today’s healthcare systems are facing many issues in the era of digital health transformation and the growth of electronic health records. Blockchain has the potential to provide solutions to a variety of electronic health record (EHR)-related challenges, including data management, security, data sharing and patient privacy. This paper represents a blockchain-based healthcare industry survey; it includes many research publications in high-ranking scientific journals in recent years from 2016 to 2022. We adopt the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach and aspects. This work is based on five databases: Elsevier, Springer, IEEE Xplore, PubMed and MDPI. The number of studies included in this study was 56. We found that researchers attempted to use blockchain technology to assist patients and healthcare providers in diagnosis and data processing, as well as including multiple entities. Our study discusses the potential of blockchain technology, its roles and benefits in healthcare, aiming to solve several problems such as data management, data sharing, access control, data security and privacy, which are missed in the conventional healthcare system.
Improving the efficiency of clustering algorithm for duplicates detection
Authors: Ali Abdulrazzak , Emran Nurul Akmar , Baharin Safiza Suhana Kamal , Othman Zahriah , Salem Awsan Thabet , Aziz Maslita Abd , Bohari Nor Mas Aina Md , Abdullah Noraswaliza
Published: April 2023

Clustering method is a technique used for comparisons reduction between the candidates records in the duplicate detection process. The process of clustering records is affected by the quality of data. The more error-free the data, the more efficient the clustering algorithm, as data errors cause data to be placed in incorrect groups. Window algorithms suffer from the window size. The larger the window, the greater the number of unnecessary comparisons, and the smaller the window size may prevent the detection of duplicates that are supposed to be within the window. In this paper, we propose a data pre-processing method that increases the efficiency of window algorithms in grouping similar records together. In addition, the proposed method also deal s with the window size problem. In the proposed method, high-rank attributes are selected and then preparators are applied to the selected traits. A compensation algorithm is implemented to reduce the problem of missing and distorted sort keys. Two datasets (compact disc database (CDDB) and MusicBrainz) were used to test duplicates detection algorithms. The duplicates detection toolkit(DuDe) was used as a benchmark for the proposed method. Experiments showed that the proposed method achieved a high rate of accuracy in detecting duplicates. In addition, the proposed method.
Detection of occupancy status from internet connectivity for non-intrusive load monitoring
Authors: Wickramathilaka Manjula , Abdullah Md Pauzi , Hassan Mohammad Yusri , Abdullah Hayati
Published: April 2023

Non-intrusive load monitoring (NILM) methods are widely used for appliance level energy disaggregation in residential buildings. These methods mostly depend on electrical features, and they have not been much successful in applying for commercial buildings. However, recent research has indicated that the accuracy of existing NILM methods can be improved by associating with occupancy data. Therefore, in this paper a novel occupancy detection algorithm is proposed which can detect occupancy status of individuals using the connectivity of their information technology (IT) devices to the local area network of the building. The model is validated using data collected at a university building, with mean errors of 01:23 and 04:02 minutes for the detection of arrival and departure. The occupancy profiles developed by the proposed model can be used to disaggregate energy consumption in a commercial building to appliance and occupant level.
Toward measuring the usability of decision support applications in fog computing environment
Authors: Hussein Oras Abdulkhdhur , Mousa Ayad Hameed
Published: April 2023

Decision support systems are applications that provide meaningful information and help with decision support. To gain the benefits of these applications, they need to be used optimally. Thus, the optimal manner to utilize relies on several properties, such as usability. This research aims to investigate the decision support systems applications (DSS) in terms of usability evaluation and propose a usability instrument for DSS in a fog computing environment. Recently, complexity is a major problem with most software products. Hence, the way to ensure user satisfaction is by measuring its usability. The study is based on the research question: What dimensions and their elements that utilize to evaluate the usability of DSS applications. A systematic literature review (SLR) was conducted to understand and extract all the instrument’s dimensions and elements. To confirm the validity of the proposed instrument, Multi scientific methods were adapted such as face validity, a pilot study for testing the goodness of proposed instrument consistency, and factor analysis. Furthermore, Bartlett’s test was utilized to ensure the reliability of the developed instrument. Eventually, the validated instrument was used to evaluate DSS application in a fog computing environment. The findings show that the proposed instrument is workable in practice.
Distinguishing license plate numbers using discrete wavelet transform technology based deep learning
Authors: Abdulrahman Asma Abdulelah , Tahir Fouad Shaker
Published: April 2023

Cars that violate the red light, and to increase the huge number of cars in violation, it is necessary to discover a system for identifying car plate numbers with the intervention of a computer, computer vision and neural networks segment and detail the number plates by designing regular algorithms to identify the number of license plates in violation. In this work, interest is in identifying the Iraqi car plate in order to know the place where the vehicle papers and the letters on which the vehicle depends and to know the location of the car were completed. The technique that was carried out in this work is to build new wavelets from polynomials by mathematical methods and discover a new algorithm using the MATLAB program to identify each number in the vehicle plate with a specific color by training a convolutional neural network (CNN) after analyzing the image using the new wavelets to identify the contents of the plate and good results have been reached. The accuracy level was reached with good values of up to 95%.
Estimation of coverage and energy in bio inspired wireless sensors using Harris hawk algorithm
Authors: Wasay Hakeem Abdul , Periyasamy Kavipriya
Published: April 2023

Wireless sensor networks have various sensors which are wide spread and also equipped with supplies. For the deployment sensor nodes are used for capturing the information, the region of interest is selected and the nodes are deployed. Lower sensing power degrades the DC supply reducing the life of wireless sensor networks, this can also be due to improper sensor deployment. Based on the above various wireless sensor network algorithms are available to compute and implement the required optimal figures. Harris hawk is among the one such algorithm used in wireless sensors. It works on the principle of the bird Harris hawk which catches the prey from a very high altitude, resemblance to this and many other features it is implemented in wireless sensors. Various wireless sensor characteristics can be found, figured and tabulated which are essential in this domain. The characteristics like coverage, connectivity, location, energy, and can be estimated. In the work the coverage and energy fitness is estimated using Harris hawk algorithm and its results are being illustrated.
Bioinformatic analysis highlights SNHG6 as a putative prognostic biomarker for kidney renal papillary cell carcinoma
Authors: Liu Yifu , Cheng Xiaofeng , Xi Ping , Zhang Zhicheng , Sun Ting , Gong Binbin
Published: April 2023

Purpose

Kidney renal papillary cell carcinoma (KIRP) is a highly heterogeneous malignancy and current systemic therapeutic strategies are difficult to achieve a satisfactory outcome for advanced disease. Meanwhile, there is a lack of effective biomarkers to predict the prognosis of KIRP.

Methods

Using TCGA, GTEx, UALCAN, TIMER, TIMER 2.0 and STRING databases, we analyzed the relationship of SNHG6 with KIRP subtypes, tumor-infiltrating immune cells and potential target mRNAs. Based on TCGA data, ROC curves, Kaplan–Meier survival analysis and COX regression analysis were performed to evaluate the diagnostic and prognostic value of SNHG6 in KIRP. Nomogram was used to predict 3- and 5-year disease-specific survival in KIRP patients. In addition, with the help of Genetic ontology and Gene set enrichment analysis, the biological processes and signalling pathways that SNHG6 may be involved in KIRP were initially explored.

Results

In patients with KIRP, SNHG6 was significantly upregulated and associated with a more aggressive subtype (lymph node involvement, pathological stage IV, CIMP phenotype) and poor prognosis. The ROC curve showed good diagnostic efficacy (AUC value: 0.828) and the C-index of the Nomogram for predicting DSS at 3 and 5 years was 0.920 (0.898–0.941). In the immune microenvironment of KIRP, SNHG6 expression levels were negatively correlated with macrophage abundance and positively correlated with cancer-associated fibroblasts. Furthermore, SNHG6 may promote KIRP progression by regulating the expression of molecules such as AURKB, NDC80, UBE2C, NUF2, PTTG1, CENPH, SPC25, CDCA3, CENPM, BIRC5, TROAP, EZH2. Last, GSEA suggests that SNHG6 may be involved in the regulation of the PPAR signalling pathway and the SLIT/ROBO signalling pathway.

Conclusions

Our analysis suggests that a high SNHG6 expression status in KIRP is associated with a poorer prognosis for patients, and also elucidates some potential mechanisms contributing to this poorer outcome. This may provide new insights into the treatment and management of KIRP in the foreseeable future.
NETWORK MODELING OF THE PROCESS OF ANAEROBIC DIGESTION OF MANURE
Authors: Savdur Svetlana
Published: April 2023

The article discusses the technological complex of anaerobic digestion of manure (ASN). Thanks to biogas plants, it is possible to mitigate the harmful effects on reservoirs and their inhabitants, reduces pollution with ammonium salts and restores the natural oxygen saturation of waters. The effectiveness of the functioning of such systems can be ensured with the help of modern methods of information processing, using methods of system analysis of complex objects based on a mathematical description of the technological process. Based on the review of the main methods of modeling discrete-continuous chemical-technological systems (CTS), the expediency of using the apparatus of the theory of Petri nets (SP) for process modeling (ASN) is substantiated. To describe the system, we propose the use of N–schemes based on the mathematical apparatus of Petri nets, one of the advantages of which is the possibility of presenting the network model both in analytical form, with the possibility of automating the analysis process, and in graphical form to ensure the visibility of the model being developed. When analyzing chemical-technological schemes, the main limitation of the N–scheme formalism should be taken into account, which is that they do not take into account the time characteristics of the simulated systems, since the transition response time is considered to be zero. Taking into account these conditions, we have proposed modified Petri nets focused on modeling and analysis of discrete-continuous CTS by including priority transitions, delay time of labels in positions and transitions. A model in the form of a modified Petri net (SME) is constructed. By means of the TRACE MODE SCADA technology, a software package of the process control system (ASN) has been developed. The process control system allows you to perform dispatching control of the main elements of the control system, stop the system (ASN) and analyze its condition, both as a whole and in order to predict the development of emergency situations.
Dual-layer microstrip monopolar patch antenna with characteristic mode analysis
Authors: Jiang Shu , Xu Hengfei , Dou Jiangling , Sun Dongquan
Published: April 2023

A monopole-like stacked microstrip antenna with dual-layer patches is proposed for ultra-wideband applications. The characteristic mode analysis (CMA) is utilized and contributes to the multi-mode behavior investigation, guiding the design process. The dual-layer patches both consist of two concentric-coupled rings. The patch configuration is optimized according to the desired mode behaviors at different frequencies. Correspondingly, the three merged resonant modes, containing the modes TM01 and TM02 of the middle layer and TM01 in the top layer, effectively broaden the operation band. The measurements demonstrate that the impedance bandwidth (IBW) of the antenna reaches 4.70–10.20 GHz (73.8%) with the return loss of 10 dB and a maximum gain of 8.7 dBi. The cross-polarization level is better than −28 dB. The proposed antenna possesses a small radius of 30 mm (0.47

λ
L

${\lambda }_{L}$

), and a low-profile of 5.78 mm (0.09

λ
L

${\lambda }_{L}$

).

λ
L

${\lambda }_{L}$

is the free-space wavelength at the lowest operation frequency.
A prediction model for Xiangyang Neolithic sites based on a random forest algorithm
Authors: Li Linzhi , Chen Xingyu , Sun Deliang , Wen Haijia
Published: April 2023

The archaeological site prediction model can accurately identify archaeological site areas to enable better knowledge and understanding of human civilization processes and social development patterns. A total of 129 Neolithic site data in the region were collected using the Xiangyang area as the study area. An eight-factor index system of elevation, slope, slope direction, micromorphology, distance to water, slope position, planar curvature, and profile curvature was constructed. A geospatial database with a resolution of 30 m × 30 m was established. The whole sample set was built and trained in the ratio of 1:1 archaeological to nonarchaeological sites to obtain the prediction results. The average Gini coefficient was used to evaluate the influence of various archaeological site factors. The results revealed that the area under the curve values of the receiver operating characteristic curves were 1.000, 0.994, and 0.867 for the training, complete, and test datasets, respectively. Moreover, 60% of the historical, archaeological sites were located in the high-probability zone, accounting for 12% of the study area. The prediction model proposed in this study matched the spatial distribution characteristics of archaeological site locations. With the model assessed using the best samples, the results were categorized into three classes: low, average, and high. The proportion of low-, average-, and high-probability zones decreased in order. The high-probability zones were mainly located near the second and third tributaries and distributed at the low eastern hills and central hillocks. The random forest (RF) model was used to rank the importance of archaeological site variables. Elevation, slope, and micro-geomorphology were classified as the three most important variables. The RF model for archaeological site prediction has better stability and predictive ability in the case field; the model provides a new research method for archaeological site prediction and provides a reference for revealing the relationship between archaeological activities and the natural environment.
Synthesis and fabrication of acrylic acid treated rattan fiber epoxy composite
Authors: Behera Susanta , Mohanty Jyoti Ranjan , Nath Ganeswar
Published: April 2023

The present work encompasses synthesis and fabrication of short rattan fiber (1–3 mm) reinforced epoxy composite with enhanced mechanical properties. Acrylic acid has been considered as surfactant for surface modification of rattan fiber to enhance adhesion with thermosetting polymer such as epoxy. Calculation of various mechanical properties has been performed and analysed with different weight percentage of fiber matrix composition. Micrographs were studied using scanning electron microscopy. The acrylic acid treated composite shows better tensile, flexural and impact strength at 45.5 MPa, 121.89 MPa and 39.45 J m−1, respectively. Regression analysis reveals that the composite with 18% fiber content (optimum weight percentage) exhibits better mechanical properties. The results suggest that rattan fibers provide a natural and sustainable choice for reinforcing composites in a wide range of technical applications where synthetic fibres are currently utilized.
A unified perspective on some autocorrelation measures in different fields: A note
Authors: Yamada Hiroshi
Published: April 2023

Using notions from linear algebraic graph theory, this article provides a unified perspective on some autocorrelation measures in different fields. They are as follows: (a) Orcutt’s first serial correlation coefficient, (b) Anderson’s first circular serial correlation coefficient, (c) Moran’s

r

11

{r}_{11}

, and (d) Moran’s

I

I

. The first two are autocorrelation measures for one-dimensional data equally spaced, such as time series data, and the last two are for spatial data. We prove that (a)–(c) are a kind of (d). For example, we show that (d) such that its spatial weight matrix equals the adjacency matrix of a path graph is the same as (a). The perspective is beneficial because studying the properties of (d) leads to studying the properties of (a)–(c) at the same time. For example, the bounds of (a)–(c) can be found from the bounds of (d).
Certain Fixed Point Results On 𝔄-Metric Space Using Banach Orbital Contraction and Asymptotic Regularity
Authors: Roy Kushal , Dey Debashis , Saha Mantu
Published: April 2023

In this paper, we investigate the existence of φ-fixed point for Banach orbital contraction over 𝔄-metric space. Also a fixed point result has been established via asymptotic regularity property over such generalized metric space. Our fixed point theorems have also been applied to the fixed circle problem. Moreover, we give some new solutions to the open problem raised by Özgür and Taş on the geometric properties of φ-fixed points of self-mappings and the existence and uniqueness of φ-fixed circles and φ-fixed discs for various classes of self-mappings.
Terahertz nanospectroscopy of plasmon polaritons for the evaluation of doping in quantum devices
Authors: Guo Xiao , He Xin , Degnan Zachary , Chiu Chun-Ching , Donose Bogdan C. , Bertling Karl , Fedorov Arkady , Rakić Aleksandar D. , Jacobson Peter
Published: April 2023

Terahertz (THz) waves are a highly sensitive probe of free carrier concentrations in semiconducting materials. However, most experiments operate in the far-field, which precludes the observation of nanoscale features that affect the material response. Here, we demonstrate the use of nanoscale THz plasmon polaritons as an indicator of surface quality in prototypical quantum devices properties. Using THz near-field hyperspectral measurements, we observe polaritonic features in doped silicon near a metal-semiconductor interface. The presence of the THz surface plasmon polariton indicates the existence of a thin film doped layer on the device. Using a multilayer extraction procedure utilising vector calibration, we quantitatively probe the doped surface layer and determine its thickness and complex permittivity. The recovered multilayer characteristics match the dielectric conditions necessary to support the THz surface plasmon polariton. Applying these findings to superconducting resonators, we show that etching of this doped layer leads to an increase of the quality factor as determined by cryogenic measurements. This study demonstrates that THz scattering-type scanning near-field optical microscopy (s-SNOM) is a promising diagnostic tool for characterization of surface dielectric properties of quantum devices.
Development of Mg-based metal matrix biomedical composites for acicular cruciate ligament fixation by reinforcing with rare earth oxide and hydroxyapatite – A mechanical, corrosion, and microstructural perspective
Authors: Aggarwal Divyanshu , Kumar Vinod , Sharma Siddharth
Published: April 2023

This study provides an insight into the synthesis of high-strength and corrosion-inhibiting Mg-based biodegradable implant material by the addition of rare earth oxide material for acicular cruciate ligament reconstruction applications. The matrix has been reinforced with a naturally occurring mineral, hydroxyapatite (Ca5(PO4)3OH) and rare earth oxide, neodymium oxide (Nd2O3), in different concentrations. The mechanical response has been assessed by analyzing the samples’ microhardness, ultimate compressive, and tensile strength. In contrast, the corrosion rates were calculated using phosphate buffer saline solution by using different techniques under suitable physiological conditions. The microstructure characterization has been carried out by field emission scanning electron microscope, electron dispersive spectroscopy, optical microscopy, and X-ray diffraction techniques. Moreover, the surface properties of the composites were assessed using surface roughness and contact angle measurements. The sample showed maximum hardness at a concentration of 1.5% rare earth oxide. Moreover, the highest ultimate compressive and tensile strength followed the same order, i.e., 1.5% > 2% > 1%. In addition, the microstructure analysis revealed a refined microstructure and the formation of secondary intermetallic phases. Resistance to dislocation and grain growth barricading were the prominent features highlighted in the study for enhanced mechanical and corrosion properties. Moreover, the hydrogen evolution was lower for Mg–HA–1.5Nd2O3 samples, which was a clear indication of a reduced corrosion rate.
Korruption, Protektion und Justiz in der Ära Adenauer
Authors: Take Gunnar
Published: April 2023

In der jungen Bundesrepublik wurden Weichen gestellt, welche Praktiken fortan als korrupt gelten sollten. Die „Leihwagen-Affäre“ als doppelter Bestechungs- und Justizskandal trug zu dieser Entwicklung bei. Mit Konrad Adenauer und seinem persönlichen Referenten Hans Kilb waren zentrale Akteure der Kanzlerdemokratie involviert und mit dem Leihwagengeber Daimler-Benz zudem ein Symbol des „Wirtschaftswunders“. Durch aufwändige Öffentlichkeitsarbeit wurden die im Zentrum der Macht vorgelebten Vorteilsnahmen und -gewährungen verteidigt. Dadurch verhalf man Praktiken, die stark vom Wortlaut einschlägiger Gesetze und Verordnungen abwichen, zu sozialer Akzeptanz. Möglich wurde dies nicht zuletzt durch politische Eingriffe in die Justiz.
Demokratisierung durch Wahlausschluss?
Authors: Holzhauser Thorsten , Treffenfeldt Paul
Published: April 2023

Der Parlamentarische Rat war 1948/49 nicht nur Verfassungsgeber, er erließ auch das Wahlgesetz zur ersten Bundestagswahl. Zu den umstrittensten Themen unter den Abgeordneten gehörte die Frage, ob nationalsozialistisch belastete Personen das volle Wahlrecht erhalten oder von der Wahl ausgeschlossen werden sollten. Die Diskussionen über den Wahlausschluss ehemaliger Nationalsozialistinnen und Nationalsozialisten sind von der Forschung bislang kaum thematisiert worden. Wie im vorliegenden Beitrag gezeigt werden soll, geben sie Aufschluss über grundlegende Fragen des zeitgenössischen Demokratieverständnisses. Sie zeigen, wie sich Diskurse um Schuld, Verantwortung und Belastung in der Nachkriegszeit mit Fragen von Demokratie und Gleichheit verbanden.
Quality characteristics, amino acid composition, and bioactive potential of wheat cookies protein-enriched with unconventional legume protein isolates
Authors: Sahni Prashant , Sharma Savita
Published: April 2023

The present investigation was intended to utilize protein isolates from forage legumes as unconventional protein ingredients for the development of protein-enriched wheat-based cookies. Alfalfa and dhaincha protein isolates (API and DPI) were supplemented at levels of 2.5, 5, 7.5, and 10%, and the effect of supplementation was evalauted on the quality attributes, nutritional composition, amino acid profile, and bioactive potential of cookies. The baking loss, water activity, and spreading (except for 10% API and 5% DPI) decreased, whereas the hardness increased with the increase in supplementation level and the effect was more pronounced with the supplementation of DPI. The non-enzymatic browning index showed that it was not affected by the supplementation. DPI-supplemented cookies showed a color change, whereas no change in the color was observed in API-supplemented cookies. Cookies maintained good sensorial characteristics up to the supplementation of 10% API and 5% DPI and higher supplementation of DPI comprised all the sensorial attributes. Supplementation with protein isolates also enhanced the protein and essential amino acid content, total phenols, flavonoids, and antioxidant activity of the cookies.
Chitosan-nanocrystal cellulose composite coating could inhibit fruit decay rate and maintain the texture parameters of fruit in okra (Abelmoschus esculentus [L.] Moench)
Authors: Wang Jiyue , Wang Heng , Liu Zhenghong , Shi Denghong , Bai Yu , Liu Yan
Published: April 2023

In order to obtain a better preservation effect on okra fruit, this study examined chitosan (CS)–nanocrystal cellulose (NCC) composite coating as a preservative agent. Four treatments, including CS, NCC, CS–cellulose composite (CS-CC), and ratio of CS:CC: 2:1 (2CS-CC), were implemented to create three different okra fruits (Shuiguo, Naiyou, and Hibiscus coccineus). Rate of weight loss, decay rate, and texture profiles (e.g., hardness, springiness, cohesiveness, gumminess, chewiness, and resilience) of the fruits were determined regularly during storage. Our results showed that a CS-NCC composite coating could not reduce rate of weight loss of the fruits. Only 2CS-CC treatment inhibited the fruit decay rate in Hibiscus coccineus (C). Nevertheless, NCC treatment did not result in a distinct improvement compared with CS treatment (1%). CS-CC treatment could be advantageous for maintaining the texture parameters of okra fruit during storage. Notably, change in the fruit texture parameters presents a significant cultivar-dependent pattern.
Hesperidin from citrus peel waste: extraction and its health implications
Authors: Samota Mahesh Kumar , Kaur Maninder , Sharma Madhvi , Sarita  , Krishnan Veda , Thakur Julie , Rawat Mandeep , Phogat Bhagyashree , Guru P.N.
Published: April 2023

Hesperidin is abundantly present as a flavanone glycoside in citrus fruits. The citrus peels, seeds, pulp, and cell and membrane residues contain a high amount of hesperidin. It has received scientific momentum lately as it offers several health benefits upon consumption, as it possesses antioxidant, anti-hypocholesteric, antitumor, anticancer, antimicrobial, antibacterial, anti-inflammatory, anti-diabetic properties, and so on. It is used in the treatment of various diseases and disorders such as type-II diabetes, cancer, cardiovascular diseases, and neurological and psychiatric disorders. Various extraction methods such as solvent extraction, cold extraction, microwave-assisted extraction (MAE), ultrasound-assisted extraction (UAE), and supercritical fluid extraction have been employed globally to obtain the maximum yield of hesperidin, which is also environment-friendly and cost-effective. The food industries produce a huge amount of citrus residue after the preparation of juices, jellies, jams, etc. These byproduct wastes are used to extract hesperidin. This review aims at highlighting the updated and scientific information about the nutritional, phytochemical, and biological activities of hesperidin; various classical and modern extraction methods; and their impact on the yield of hesperidin and health implications of hesperidin.
Natural ingredients and probiotics for lowering cholesterol and saturated fat in dairy products
Authors: Chailangka Auengploy , Leksawasdi Noppol , Ruksiriwanich Warintorn , Jantanasakulwong Kittisak , Rachtanapun Pornchai , Sommano Sarana Rose , Khaneghah Amin Mousavi , Castagnini Juan Manuel , Barba Francisco J. , Kumar Anbarasu , Phimolsiripol Yuthana
Published: April 2023

Dairy products play a crucial role in ensuring healthy lives and promoting the well-being of people. However, they normally contain high levels of saturated fat and cholesterol which are related to the risk of noncommunicable diseases and other health issues. Our review focuses on the effectiveness of added natural ingredients and probi-otics in dairy products for replacing or lowering cholesterol and saturated fat. This narrative review was concep-tualized to describe: (i) natural ingredients for cholesterol and saturated fat substitution, and (ii) probiotics for lowering both cholesterol and saturated fat. Promising techniques for cholesterol and saturated fat replacement by healthy plant oils, carbohydrate, and protein co-products and their effect on product qualities are discussed. In addition, various probiotics inoculated in dairy products exhibiting effect on saturated fat and cholesterol are also addressed.
Causes, negative effects, and preventive methods of water pollution in Ethiopia
Authors: Talema Alemu
Published: April 2023

Water is a finite resource necessary for life and sustainable development. Ethiopia has considerable potential for freshwater resources in East Africa. All living beings depend on water for growth and upkeep, and it is essential for supporting environmental balance and biodiversity. Ethiopia does not able to offer clean water to half of its population, and it does not make good use of its water resources. Many Ethiopians who live in urban areas strug-gle to have access to a consistent and adequate quantity of drinking water. Only a small number of city dwellers have access to enough of clean water. Both human activity and natural events may contaminate water. In develop-ing nations, a major concern for public health and water security is the degradation of quality of water brought on by human activities and weak enforcement. The effectiveness of policies and institutional frameworks to address pollution, as well as their effects on the ecological status and biota of rivers, are little understood in spite of growing pollution levels in many tropical African nations. This article focuses on giving an outline of the reasons for Ethiopia’s water pollution and ways to stop it.
Sustainable Development in Regional Strategies: Approaches and Solutions
Authors:   Institute for Regional Economic Studies RAS, Korshunov I. V.
Published: April 2023

The adoption of the UN 2030 Agenda for Sustainable Development by the Russian Federation in 2016 requires the introduction of the United Nations Sustainable Development Goals (SDGs) into na-tional strategies and policies. As most SDGs are already included in the main strategic planning documents, regional development strategies should be changed accordingly. This emerging practice of regional stra-tegic planning needs to be carefully studied. Based on the analysis of socio-economic strategies of eleven Russian regions included in the Northwestern Federal District, the present study shows the incorporation of the SDGs into regional strategic plans. The findings lead to the following conclusions. The implementa-tion of the SDGs in regional strategies is extremely heterogeneous, ranging from complete abstraction to their recognition as key development benchmarks. However, even the regions, which expressed the inten-tion to follow the UN Agenda in their strategies, did not establish clear plans for its implementation. The economic component of sustainable development is considered a priority, while social and environmen-tal components are underestimated, indicating that sustainable economic growth and related goals are seen as the main direction of regional development. Thus, sustainable development is yet to be achieved in the context determined by the UN Agenda and government strategic planning documents. It is necessary to further examine each region’s motivation for the introduction of the UN 2030 Agenda for Sustainable Development into regional strategies. Government and administrative bodies can use the research find-ings to improve approaches to strategic planning and management of the development of Russia and its regions.
Comparative Assessment of Digitalisation in Russian Industrial Regions
Authors:   Institute of Economics of the Ural Branch of RAS, Korovin G.  B.
Published: April 2023

Technological and organisational opportunities provided by digitalisation to the society and economy can help improve the efficiency of industry and advance the development of industrial regions. The study aims to assess the digitalisation level and rate of industrial regions in comparison with the av-erage Russian level. For this purpose, structural and dynamic analysis, as well as the method of grouping of various indicators from the official Russian statistics in the field of ICT were applied. It was hypothe-sised and confirmed that digital technologies are used more intensively in industrial regions. In terms of the use of basic information technologies, the values are higher by 1-7 %. Organisations in industrial re-gions are 3 % more likely to use global networks to interact with counterparts. There are also more en-terprises (by 4 %) that have implemented automated data exchange with partners. Industrial regions have been using special design, production management and product lifecycle software 15 % more often since 2018. However, a hypothesis of a larger-scale implementation of advanced digital technologies in indus-trial regions has not been unequivocally confirmed. The values are higher only for indicators of the use of industrial robots (by 25 %), artificial intelligence technologies (by 12.4 %), digital platforms (by 3.4 %), geo-information systems (by 4.7 %), the Internet of Things (by 4.3 %). The findings can be used to develop digi-talisation strategies at the regional and federal levels. Variability of the regulatory framework for collecting statistics and underdeveloped terminology in the field of digital technologies can be considered as limita-tions to the application of the results. Further research may focus on building econometric and other models for implementing digitalisation in regions.
The relationship between labial soft tissue changes and jumping spaces after immediate implant placement and restoration in the anterior maxilla: A prospective study
Authors: Xu Linkun , Zhang Sui , Chen Yue , Yu Feiyan , Han Chong , Wu Dongchao , He Dongning
Published: April 2023

We investigated the changes of labial soft tissue contours with different jumping spaces after immediate implant placement and restoration (IIPR) in the maxillary esthetic area and also provided a long-term stability measurement for the changing trend of soft tissue contour. First, an intraoral pre-operation scanning was used to obtain a digital impression (baseline) of 32 patients with single tooth loss in the maxillary esthetic area. After minimally invasive extraction, the implant had been embedded at the alveolar socket’s palatal side with flapless surgery. A low replacement bone substitute material (Bio-oss bone powder) was then implanted in the jumping space and covered with platelet-rich fibrin (PRF) and screw retention temporary crown was worn. All patients had been separated into three groups based on the jumping space: group A (horizontal defect dimension [HDD] ≤ 2 mm), group B (2 mm < HDD ≤ 3 mm), and group C (HDD > 3 mm) and the digital impressions were obtained in the first, third and sixth month after the operation. The linear changes in peri-implant soft tissue volume, labial gingival margin level, and soft tissue profile were quantitatively analyzed by Geomagic Studio 2013, and the esthetic effect was assessed using the pink esthetic score (PES). The volume of labial soft tissue decreased continuously within six months after IIPR, particularly in the first three months. The changes of gingival mucosa levels, the average thickness of soft tissue contour volume and the linear change of submarginal level decreased gradually across the three groups, with the largest change of submarginal level being at 5 mm. The size of jumping space was moderately negatively correlated with the level and average thickness of gingival mucosa and the linear changes of 3 mm and 5 mm under gingival margin, while there was no significant correlation with PES and the linear change of the 1 mm under the gingival margin. Therefore, enough jumping spaces should be set aside during the immediate implantation to reduce the contour alterations of the soft tissue. Generally, IIPR of upper anterior teeth can achieve esthetic satisfaction, and the level of soft tissue around the implant can be well preserved.
Sağlık Çalışanlarının İş Tatmini ve İş Performansı Ekseninde İş-Aile Çatışması
Authors: YILMAZ Seda , ÇAĞATAY Altuğ
Published: April 2023

Sağlık hizmetlerinin etkinliği, verimliliği ve kalitesi çalışan performansına bağlıdır. İnsan gücünün iş performansı ise kişisel özelliklerden, çalışma ortamı ve koşullarından ve diğer çalışanların tutum ve davranışlarından etkilenmektedir. Bu araştırmanın amacı, Sağlık Çalışanlarının iş tatmini ve iş performansı ekseninde iş-aile çatışmasının varlığının tespit edilmesidir. Çalışma kesitsel tipte bir alan çalışmasıdır. Tokat ili sağlık personeli olarak görev yapan ve çalışmaya gönüllü olarak katılan 495 kişi araştırma grubunu oluşturmaktadır. Çalışmada, işteki performans ile işin tanımlanması ve iş üzerindeki hakimiyet durumu, aile-iş çatışmasında özyeterlik düzeyi ve ailenin tatmini arasında pozitif yönde anlamlı bir ilişki olduğu tespit edilmiştir. İş-aile çatışmasında özyeterlik düzeyi arasında negatif yönde bir ilişki olduğu tespit edilmiştir. Kişisel faktör değişkenleri ile araştırmada ele alınan alanlar arasında anlamlı farklılık olmadığı sonucuna ulaşılmıştır.
The English Communication Experiences of Accounting Undergraduates During Internships
Authors: Musa Faridah , Yunus Melor Md , Othman Zarina
Published: April 2023

The issue of poor communication skills among undergraduates, which hamper their performance during internship and employment, has been researched extensively in the literature. However, empirical studies on what the interns have gained and learnt from the internship have not been widely explored. This paper presents the findings of a study of Accounting interns’ experiences in their English communication during their six-month internship at respective companies in Kuala Lumpur, Malaysia. The study employed a qualitative research method using semi-structured interviews with five undergraduate interns from the Faculty of Economics and Management of a public university in Malaysia. Interviews with the managers and supervisor who were in charge of the respondents were also carried out. The interview data was transcribed verbatim, coded and analyzed into specific themes and subthemes using Braun and Clarke’s (2006) six-step thematic analysis. The interns’ data was triangulated with supervisor and managers’ views and validated by three independent coders using the Cohen’s Kappa Reliability Test. The findings of the study show that during the internship, the accounting interns gained valuable experience in practicing their English communication skills, which included opportunities to communicate with clients, colleagues and supervisors, enhance professional communication, learn new terms and knowledge and lastly improve their self-confidence. The language and communication skills in which the interns were still lacking need to be addressed by the university in its efforts to produce Accounting graduates who are competent in English communication.