bluuebunny/crossref_metadata_2025 huggingface dataset:
Beneficial effect of cerium excess on in situ grown Sr0.86Ce0.14FeO3–CeO2 thermocatalysts for the degradation of bisphenol A
Authors: Østergaard Martin B. , Deganello Francesca , La Parola Valeria , Liotta Leonarda F. , Boffa Vittorio , Jørgensen Mads K.
Published: July 2023

In situ grown perovskite and ceria biphasic system causes a structural distortion of the perovskite from cubic to tetragonal thus increasing oxygen availability and promoting the thermocatalytic activity in degradation of bisphenol A.
Selective determination of nitrite in water and food samples using zirconium oxide (ZrO2)@MWCNTs modified screen printed electrode
Authors: Rajab Nadeen , Ibrahim Hosny , Hassan Rabeay Y. A. , Youssef Ahmed F. A.
Published: July 2023

An electrochemical assay using a disposable nano-sensor chip ZrO2@MWCNTs screen printed electrode for rapid, selective, and sensitive determination of nitrite in food and water samples. Real food and water sample analysis was conducted, and a high recovery was achieved.
Wound healing strategies based on nanoparticles incorporated in hydrogel wound patches
Authors: Dam Paulami , Celik Merve , Ustun Merve , Saha Sayantan , Saha Chirantan , Kacar Elif Ayse , Kugu Senanur , Karagulle Elif Naz , Tasoglu Savaş , Buyukserin Fatih , Mondal Rittick , Roy Priya , Macedo Maria L. R. , Franco Octávio L. , Cardoso Marlon H. , Altuntas Sevde , Mandal Amit Kumar
Published: July 2023

Nanoparticle-modified hydrogels exhibit substantial promise in the realm of wound healing, with their ability to expedite tissue regeneration, mitigate infection risks, and facilitate enhanced therapeutic outcomes.
Highly sensitive capacitance-based nitrite sensing using polydopamine/AuNPs-modified screen-printed carbon electrode
Authors: Algethami Faisal K. , Rabti Amal , Mastouri Mohamed , Abdulkhair Babiker Y. , Ben Aoun Sami , Raouafi Noureddine
Published: July 2023

Polydopamine/AuNPs/SPCE electrodes are useful for the detection of nitrite ions in processed meat samples using redox capacitance spectroscopy.
The lignin challenge in catalytic conversion of biomass solids to chemicals and fuels
Authors: Abu-Omar Mahdi M. , Ford Peter C.
Published: July 2023

Presented here is an overview of progress in one approach to reducing greenhouse gas emission, namely substituting photosynthesis generated, woody biomass for fossil carbon as feedstock in the production of chemicals and liquid fuels.
Amorphous cobalt phosphate incorporated in carbon matrix as an efficient pre-catalyst for promoted electrosynthesis of ammonia
Authors: Lei Fengcai , Xu Mengmeng , Zhang Yiming , Yu Jing , Zhang Menghan , Huai Ruixue , Xie Junfeng , Hao Pin , Cui Guanwei , Tang Bo
Published: July 2023

The accumulation of Co3+and PO4during phase reconstruction on amorphous cobalt phosphates makes contribution to the energy-efficient NH3electrosynthesis.
Tuning foreign body response with tailor-engineered nanoscale surface modifications: fundamentals to clinical applications
Authors: Yadav Tara Chand , Bachhuka Akash
Published: July 2023

The synergistic effect of nanotopography and chemistry in modulating different stages of the foreign body response, impacting cell–protein–biomaterial interactions.
Skin breathable and stretchable electrode based on square-shaped AgNW bundle mesh with wavy bridges
Authors: An Eun Young , Lee Siyoung , Cho Jeong Ho , Bae Geun Yeol , Shin Gyojic
Published: July 2023

This work presents a skin-breathable and biaxially stretchable electrode consisting of a micropatterned silver nanowire bundle with a square mesh and wavy bridges on a hole-patterned ultrathin elastomer matrix, fabricated by solution-based processes.
Asymmetrical organic D–π–A conjugate with ‘V’-shaped crystal packing: quest to transcend the limits of photophysical properties and applications
Authors: Bhuin Shouvik , Chakraborty Purbali , Sivasakthi Pandiyan , Samanta Pralok K. , Yogeeswari Perumal , Chakravarty Manab
Published: July 2023

Single asymmetrically substituted π-conjugate with “V”-shaped crystal packing displays seven photophysical features and six potential applications, including wash-free bioimaging of cancer cells.
Deciphering the proficiency of aliphatic/aromatic functionality on a heteroatom embedded planar polycyclic core: towards advanced onsite detection of tetracycline and oxytetracycline
Authors: Parui Retwik , Zehra Nehal , Iyer Parameswar Krishnan
Published: July 2023

The structure–property correlation through harnessing the aliphatic/aromatic functionality in a heteroatom-embedded planar polycyclic core towards fluorescence-based onsite antibiotic detection using a smartphone-based prototype platform is presented.
Dimerization and autophosphorylation of the MST family of kinases are controlled by the same set of residues
Authors: Weingartner Kyler A. , Tran Thao , Tripp Katherine W. , Kavran Jennifer M.
Published: July 2023

The Hippo pathway controls tissue growth and regulates stem cell fate through the activities of core kinase cassette that begins with the Sterile 20-like kinase MST1/2. Activation of MST1/2 relies on trans-autophosphorylation but the details of the mechanisms regulating that reaction are not fully elucidated. Proposals include dimerization as a first step and include multiple models for potential kinase-domain dimers. Efforts to verify and link these dimers to trans-autophosphorylation were unsuccessful. We explored the link between dimerization and trans-autophosphorylation for MST2 and the entire family of MST kinases. We analyzed crystal lattice contacts of structures of MST kinases and identified an ensemble of kinase-domain dimers compatible with trans-autophosphorylation. These dimers share a common dimerization interface comprised of the activation loop and αG-helix while the arrangements of the kinase-domains within the dimer varied depending on their activation state. We then verified the dimerization interface and determined its function using MST2. Variants bearing alanine substitutions of the αG-helix prevented dimerization of the MST2 kinase domain both in solution and in cells. These substitutions also blocked autophosphorylation of full-length MST2 and its Drosophila homolog Hippo in cells. These variants retain the same secondary structure as wild-type and capacity to phosphorylate a protein substrate, indicating the loss of MST2 activation can be directly attributed to a loss of dimerization rather than loss of either fold or catalytic function. Together this data functionally links dimerization and autophosphorylation for MST2 and suggests this activation mechanism is conserved across both species and the entire MST family.
A 4-Week Straw Phonation in Water Exercise Program for Aging-Related Vocal Fold Atrophy
Authors: Tsai Lydia Yueh-Ju , Chan Roger W. , Shen Cuiling , Chen Zusen , Zhuang Peiyun , Chiang Yu-ning , Tai Shyh-Kuan , Xue Keying
Published: July 2023

Purpose:

This study evaluated the efficacy of a 4-week straw phonation in water (SPW) exercise program on aging-related vocal fold atrophy (VFA), with a secondary objective to examine the immediate effects of SPW exercises.

Method:

Thirty-eight older adults aged 60 years and above formally diagnosed with aging-related VFA were randomly assigned into an experimental group undergoing SPW exercises with an 8-cm depth of straw submersion into water for 4 weeks plus vocal hygiene practice (
n
= 20), and a control group with only vocal hygiene practice (
n
= 18). Outcome measures included laryngeal endoscopic measures of glottal gap, auditory-perceptual ratings of voice quality, acoustic measures, aerodynamic measures, and standardized self-assessment questionnaire scores. An additional round of acoustic and aerodynamic assessment following 20 min of SPW exercises was conducted to examine the immediate effects.

Results:

Significant improvements in normalized glottal gap area, perceptual rating of breathiness, smoothed cepstral peak prominence, harmonics-to-noise ratio (HNR), mean oral airflow, subglottal pressure and laryngeal airway resistance at comfortable loudness, Voice-related Quality of Life scores, and Chinese Vocal Fatigue Index Factor 3 scores were observed in the experimental group relative to the control group. There were also significant immediate effects for HNR, mean oral airflow, subglottal pressure, and laryngeal airway resistance.

Conclusions:

These findings suggested significant immediate improvements in vocal function following SPW exercises, with additional significant improvements in vocal function as well as significant improvements in quality of life following the 4-week SPW exercise program. Further studies with more long-term follow-up are recommended to better understand the efficacy of SPW exercises with deep levels of straw submersion into water as an effective clinical option for the management of hypofunctional dysphonia associated with aging-related VFA.
A distributed consensus based algorithm for economic dispatch over time‐varying digraphs
Authors: Xu Keng , Guo Fanghong , Yan Gangfeng
Published: July 2023

In this paper, a consensus based fully distributed optimization algorithm is proposed for solving economic dispatch problem (EDP) in smart grid. Since the incremental cost of all buses reach consensus when the optimal solution is achieved, it is selected as a consensus variable. An additional variable at each bus, called “surplus” is added to record the local power mismatch, which is used as a feedback variable to purse the balance between power supply and demand. Different from most of the existing distributed methods which require the communication network to be balanced, the algorithm uses a row random matrix and a column random matrix to precisely steer all the agents to asymptotically converge to a global optimal solution over a time‐varying directed communication network. Due to the use of a fixed step size, the proposed algorithm also outperforms other algorithms in terms of convergence speed. The graph and eigenvalue perturbation theories are employed for the algorithm convergence analysis, and the upper bound of the parameters required for convergence is given theoretically. Finally, the performance and scalability of the proposed distributed algorithm are verified by several case studies conducted on the IEEE 14‐bus power system and a 200‐node test system.
Fake algebraic Riccati equation applied to model predictive control for doubly fed induction generator direct power control
Authors: Lima Rodrigues Lucas , Chayña Velasquez Omar , Conde Duque Eliomar Ramón , Chura Vilcanqui Omar Alexander , Sguarezi Filho Alfeu Joãozinho
Published: July 2023

Model Predictive Control (MPC) and Direct Power Control (DPC) are widely used in Doubly Fed Induction Generator (DFIG) applications. However, in the context of DPC‐based MPC for DFIG, there has been a lack of literature focusing on the design of the MPC parameters. In this way, this article introduces a novel technique for designing weighing matrices in Direct Power Model Predictive Control using the Fake Algebraic Riccati Equation (FARE). As FARE is associated with the infinite receding horizon, a small receding horizon can be designed without compromising the robustness. Furthermore, this article presents a computationally efficient linear state‐space model for DPC that, when combined with a small receding horizon FARE design, offers a controller with low computational cost and robustness. The proposed theory is validated through experimental results under normal operation, variable speed operation, and parameter variations. Additionally, the proposed controller is compared to other MPC approaches.
Study on the status of international cooperation in the field of advanced manufacturing technology—based on the Inspec database
Authors: Zheng Chuhua , Zhai Lihua , Zheng Ma , Gao Jiping , Pan Yuntao
Published: July 2023

Based on the data of indexed papers from Inspec database, scientometrics and statistics‐related analysis methods are used to study the overall development trend of international cooperation in advanced manufacturing, the characteristics and evolution of major countries in four dimensions of cooperation scale, cooperation intensity, cooperation dominance rate, cooperation impact, and cooperation network from 2011 to 2020, and this article focuses on the changing trend of China and the differences existing with other countries. The study shows that cooperation in advanced manufacturing has an upward trend, with China and the US having a clear lead in cooperation scale and intensity. China leads the most in the aspect of international cooperation in the field of advanced manufacturing, while the US. is at the heart of a network of cooperation across the field.
A Comprehensive loss analysis of SiC-based DAB DC-DC converter for electric vehicle application
Authors: Kalandar Kasim Resma , Robert Femi
Published: July 2023

This paper presents loss analysis of SiC MOSFET based bidirectional DAB (Dual Active Bridge) DC-DC converter for EV application. This converter benefits the efficiency of the EV vehicle by reducing power loss and voltage drop across the converter. The DAB uses WBG (Wide-Bandgap) semiconductor devices such as SiC MOSFET to optimize the efficiency and extend soft-switching over whole operating range. The SiC MOSFET switching devices rated at 1200 V with different drain- source on-state resistance Rds(on)of 21 mΩ/32 mΩ is considered. Therefore, a reliable converter rated at 10 kW which works under normal operating condition at high-switching frequency of 100 kHz. The switching and conduction losses are taken under two different junction temperature such as 25 °C and 100 °C with various operating load current between 10 A to 40 A. Based on an analysis of SiC MOSFET based DAB attains 98.8% efficiency. The simulation results are taken as voltage and current waveforms at various points of converter are reported. This SiC based DAB converter would be used in next generation of V2G (Vehicle-to-Grid) and G2V (Grid-to-Vehicle) technology.
Corrosion Assessment Methods in Reinforced Cement Concrete
Authors: R Dineshkumar , R Naveenkumar , P Sudharsan , P Kavin , G Mohanaprasath
Published: July 2023

Worldwide huge amount was spent on infrastructure development projects, in which a major part is spent on demolishing deteriorated structures due to their reduction in serviceability due to various external factors. This may be attained by preventing reinforced cement concrete (RC) structures from factors that affect serviceability such as corrosion. The research community is developing various techniques to predict corrosion in RC structures to prevent the structure in the initial stages by carrying out maintenance work instead of going for the reconstruction of deteriorated structures. The corrosion of RC structures was mainly caused by chloride ions penetrating the structure or by carbonation. This coefficient can be used to predict the rate of corrosion in concrete. Electrochemical measurement, Eddy current, Half-cell potential measurement, etc., are the experimental techniques to forecast the corrosion rate in concrete reviewed. Recently various software’s like Life 365, Thermos calc, Concrete Compass, etc., were developed to predict the corrosion rate in RC structures. This research paper reviews the effectiveness of the application of software to predict corrosion rate in RC structures by reviewing previous research works to identify an accurate method to be followed.
Modelling the Price Forecast for Construction Steel: A Case Study in EPC Company
Authors: Firdaus Alfa , Amrina Uly
Published: July 2023

The EPC (Engineering Procurement Construction) industry is one of the most dynamic industries. The problems faced are related to market conditions that often change, short construction periods, and fluctuations in material prices that are difficult to predict. This dynamic requires an appropriate forecasting model, which can predict the pattern of material price movements and anticipate the occurrence of fluctuations in the future. This research aims to get the best price during the project tender process. This study model the forecasting of construction iron prices in the future by considering the historical pattern of construction iron price data, the value of foreign exchange rates, and the price of billets as raw materials for construction iron. The forecasting procedure used is nonparametric, which involves several statistical tests such as cross-correlation, linearity, and error assessment. The results of this study can be a firm reference for the price value of construction iron, which makes it easier for management to determine an accurate and competitive project value.
Environmental and Economical Impact of Blockchain
Authors: Frederick Robin , Paul Jijo , Priyadharsini
Published: July 2023

Traditional food supply chains are centralised and have problems with variable product quality, missing data, and irregular product production. As seen by the countless cases of food fraud and adulteration that are reported on a daily basis from various parts of India, an improved decentralised supply chain model is urgently needed. India is a developing nation whose demographic dividend is its greatest advantage; it cannot afford to eat contaminated dairy products. We suggest a blockchain-enabled dairy supply chain platform for the sector as a result of this predicament. Blockchain is a technology that is starting to be widely employed in a variety of commercial areas. Traditional supply chains can be turned into decentralised, robust, transparent, impermeable networks with the use of blockchain technology. The suggested supply chain platform intends to increase food safety, maintain the nutritional value of dairy products, identify adulteration and contamination in dairy products, and stop the creation of fake dairy products. This platform offers more than just food traceability. The suggested platform for the dairy supply chain integrates smart contracts, and blockchain technology and has a positive effect on the environment.
Taguchi Analysis of Walking Pathway for Power Optimization
Authors: Gothwal Pushpa , Kumar Ajay , Dewanagan Rishi
Published: July 2023

The optimization of power for sustainable resources become very crucial factor now a days due to increase the demand of energy. This paper presents the PZT tile power optimization with respect to subject weight and sensor quantity and mechanical and electrical characteristic of sensor. The most efficient combination of components and levels is thus predicted, and the results are analysed using ANOVA and Taguchi’s statistical optimization technique. The analysis predicts that the PZT Tile produced more output for the rigidity 44.97%, subject weight 30.09%, frequency contribution 12.39%, and sensor number 3.35%. The contribution of weight and rigidity influence the output responses. It also provides descriptions of the other combination of parameters that are feasible. In this study, R-sq. is discovered to be larger than 90%, i.e., 91.185% for voltage; hence, the model is suitable. Finally, the Taguchi optimization method can be utilised to forecast the ideal power incorporation factor to maximize the power according to the application of PZT walking tile.
Identification of Phishing Attacks using Machine Learning Algorithm
Authors: P.M Dinesh , M Mukesh , B Navaneethan , R.S Sabeenian , M.E Paramasivam , A Manjunathan
Published: July 2023

Phishing is a particular type of cybercrime that allows criminals to trick people and steal crucial data. The phishing assault has developed into a more complex attack vector since the first instance was published in 1990. Phishing is currently one of the most prevalent types of online fraud behavior. Phishing is done using a number of methods, such as through emails, phone calls, instant chats, adverts, pop-up windows on websites, and DNS poisoning. Phishing attacks can cause their victims to suffer significant losses, including the loss of confidential information, identity theft, businesses, and state secrets. By examining current phishing practises and assessing the state of phishing, this article seeks to assess these attacks. This article offers a fresh, in-depth model of phishing that takes into account attack stages, different types of attackers, threats, targets, attack media, and attacking strategies. Here, we categorise websites as real or phishing websites using machine learning techniques including Random Forest, XGBoost, and Logistic Regression. Additionally, the proposed anatomy will aid readers in comprehending the lifespan of a phishing attack, raising awareness of these attacks and the strategies employed as well as aiding in the creation of a comprehensive anti-phishing system.
Smart Wearable Gadget for Miners Using IOT
Authors: R.S Sabeenian , K Kanishka , R Kavi Priya , P.M Dinesh , M.E Paramasivam , A Manjunathan
Published: July 2023

Safety is the most important part of any kind of assiduity is safety. In extreme circumstances, safety-related negligence could result in the destruction of expensive clothing or the loss of human life. Every min-ing diligence adhere to a few basic preventative measures in order to avoid any generally unwelcome wonders. The most important component at this time is communication in order to continuously monitor various pa-rameters and take the appropriate actions as a result to avoid any risks linked with the product or the management of mortal funds. A stable and wide-range effective communication system between personnel in the mine and the control centre must be built in order to increase safety in un-derground mines. The cable communication network technology is inef-fective within underground mines. Here we can tackle the matter of acci-dents which end with death of several people per annum. It is discovered that the speed of fatality within the coal pit industry is almost six times the speed for all private industries. And most of those accidents are because of toxic gases, fires, and a lack of rescue systems. By implementing mine surveillance gadgets, which may be used within the mine and detect the number of various gases, fall, emergency detection and report to them. This article focuses on the design and analysis of the smart wearable gadget for miners in the mining industry using IoT.
Human-Computer Interaction: Enhancing User Experience in Interactive Systems
Authors: R Pushpakumar , Sanjaya Karun , Rathika S. , Hussein Alawadi Ahmed , Makhzuna Khamdamova , Venkatesh S. , Rajalakshmi B.
Published: July 2023

Enhancing user experience (UX) in interactive systems requires effective human-computer interaction (HCI). The relationship between people and computers has grown in significance as technology progresses, having an impact on many areas of our life. The main ideas and tactics used in HCI to enhance the user experience in interactive systems are examined in this abstract. Understanding the capabilities and constraints of both humans and computers forms the basis of HCI. HCI researchers and designers may develop interactive systems that complement users' mental models and cognitive processes by researching human behavior, cognition, and psychology. Additionally, taking into account the features of the computer system, such as its responsiveness, processing capacity, and interface design, enables the development of systems that are more user-friendly and effective. As a result, the discipline of human-computer interaction works to improve the user experience in interactive systems. Researchers and designers in the field of human-computer interaction (HCI) can produce interactive systems that are simple, effective, entertaining, and satisfying for users by comprehending human capabilities, applying user-centered design principles, utilizing interactive techniques and interfaces, integrating multimodal interfaces, and embracing emerging technologies. The continued development of HCI will continue to influence and enhance how people use computers, enhancing user experiences and creating new opportunities for interactive systems in the future.
Bioinformatics: Computational Approaches for Genomics and Proteomics
Authors: Mohanasundaram Sugumar , Dhatwalia Deepa , Vijayaraghavan P. , Alzubaidi Laith H. , Makhzuna Khamdamova
Published: July 2023

Bioinformatics is a fast evolving field that combines biology, computer science, and statistics to analyze and comprehend enormous volumes of biological data. As a result of the introduction of high-throughput technologies like next-generation sequencing and mass spectrometry, genomic and proteomics research has generated enormous volumes of data, necessitating the development of computational tools to process and extract useful insights from these datasets. This presentation presents a survey of computational approaches in bioinformatics with a particular emphasis on their application to genomics and proteomics. The study of the entire genome is a topic covered in the discipline of genomics, which also includes genome annotation, assembly, and comparative genomics. Proteomics focuses on the investigation of proteins, including their identification, quantification, structural analysis, and functional characterization. Consequently, the importance of the area of bioinformatics has increased.
Artificial Intelligence in Healthcare: Diagnosis, Treatment, and Prediction
Authors: Devi Kharibam Jilenkumari , Alghamdi Wajdi , N Divya , Alkhayyat Ahmed , Sayyora Artikbaeva , Sathish T.
Published: July 2023

One of the most potential uses of artificial intelligence (AI), which has changed a number of industries, is in healthcare. The application of AI in healthcare is discussed in general in this study, with an emphasis on diagnosis, treatment, and prediction. In the area of diagnostics, AI has proven to be remarkably adept at deciphering X-rays, CT scans, and MRI pictures to spot illnesses and anomalies. A branch of AI known as deep learning algorithms has shown to be particularly good at accurately identifying and categorizing medical disorders. Large volumes of imaging data may be swiftly analyzed by AI systems, enabling medical personnel to diagnose patients more accurately and with fewer mistakes. Additionally, AI may combine patient information, genetic data, and other pertinent data to produce tailored diagnostic suggestions. Consequently, AI has become a game-changing force in healthcare, especially in the disciplines of diagnosis, treatment, and prediction. AI systems can help medical personnel make more precise diagnoses, create individualized treatment plans, and forecast patient outcomes by utilizing machine learning algorithms and advanced data analytics. While there are still difficulties, there are enormous potential advantages for AI in healthcare, and coordinated efforts are required to realize these advantages and assure its ethical and fair incorporation into healthcare systems.
Classification of Chest X-ray Images using Convolutional Neural Nework
Authors: P Allirani , S.P Yogapriyaa , M Vishali , Mohamed Aezeden , Abdulaziz Akhmedov , Tharmar S.
Published: July 2023

The current worldwide Covid-19 epidemic is linked to a respiratory lung infection caused by a novel corona virus disease (SARSCoV- 2), the evolution of which is still not known. More than 100,000 cases were confirmed worldwide using the current case definition of Covid-19 infection, based on pneumonia diagnosis, with a death rate ranging between 2% and 3%. Since the expanding sick population might not have simple access to current laboratory testing, new screening techniques are necessary. The Computed tomography of chest is an important technique for the former detection and treatment of Covid-19 pulmonary symptoms, even though its utility as a screening tool has not yetbeen established. Even though it lacked specificity, it exhibited excellent sensitivity. We demonstrate a neural network based on pneumonia and covid classification in Tensor Flow and Keras. The suggested method is based on the CNN uses images and the CNN model to categorize Covid-19 or pneumonia. It is anticipated that discoveries will become more successful. If the covid-19 or pneumonia classification algorithms and other feature extraction methods are added, the CNN approach will be successfully supported.
Smart Governing System Based on Mesh Algorithm for Industrial Gas and Flame Detection with Alert System
Authors: R Nishanthi , K Gayathri , S Mehaboob Nasreen , Chourasia Shikha , Ruzimurod Abiev , Venkatesh S. , Rajalakshmi B.
Published: July 2023

The paper proposes a Wireless Sensor Network (WSN) solution for monitoring environmental parameters during industrial fires. The system includes sensors that collect real-time data on temperature ,humidity, and gas emissions. When the system detects a fire orgas out break ,it generates alerts and presents the data on a single webpage for easy visualization by first responders. The solution aims to provide near real time alerting, enabling prompt response to minimize the impact of industrial fires. The paper also presents experimental analysis of sensor node behavior during a fire in a test set-up, which demonstrated the effectiveness of the system in detecting fire outbreaks and generating alerts promptly. The proposed system has the potential to reduce the impact of industrial fires, including loss of human lives, vegetation, economic loss ,and environmental pollution.
An Empirical Study On Employee Turnover And Job Satisfaction In Human Resource Management Practices
Authors: Bargavi N. , Roy Amitabh , Kumar Vinod , Shrivastava Gitanjali , Varma Raj A. , Shrivastava Abhinav
Published: July 2023

Human resource management is included within an organisation for recruiting employees, guiding work procedures, providing training, and developing policies to motivate and satisfy employees for better productivity and profit. This study sheds light on the importance of human resource management to influence employee turnover and job satisfaction of the employees. The study provided an overview of the different factors which prove to have a dramatic influence on employee turnover and the job satisfaction of the workers. The strategies integrated by human resource management for the heightening such crucial aspects of employee turnover and job satisfaction was observed in the study.
Navigating Intellectual Property Rights: Fostering Innovation, Access, and Education in the Indian Context
Authors: Kaushik MadhuBala , Rajharia Poonam , Vyas VarshaTiwari , Soni Sumedha
Published: July 2023

This research paper aims to examine the current state of intellectual property rights (IPRs) and propose a way forward to address the challenges faced by various stakeholders in the global intellectual property landscape. Specifically, the paper will look at the state of intellectual property rights around the world. In this paper, researcher discussed the role that intellectual property rights (IPRs) play in fostering innovation, creativity, and economic growth. We also highlighted the controversies that surround IPRs, such as the debate on their impact on access to essential medicines and the balance between protection and competition. In addition to this, the article investigates the efforts made by education sector in India to promote IPR as an integral part of education and academics. The way forward that has been suggested involves taking a balanced approach that takes into account the interests of all of the stakeholders and acknowledges the changing nature of intellectual property in this age of digital technology. In its conclusion, researcheremphasizes the importance of continuing collaboration and conversation between policymakers, industry participants, and members of civil society in order to create a long-term and equitable intellectual property regime.
Blockchain Applications in Fisheries
Authors: Asha Vijay T. , Raju M.S.
Published: July 2023

Urbanization has led to increasing fish consumption, resulting in high demand for fish and fish products. Challenges in this sector, include fraudulent fish supply, overfishing, unscientific handling, quality concerns, etc. Blockchain-based systems in the seafood sector could provide traceability access to the seafood for the consumers and authorities to know if the seafood consumed/sold is legal, ethical, hygienic, economic, etc. Blockchain platforms like Ethereum promote secure digital collaboration of the actors across the supply chain eliminating the intermediaries. The literature documents a very limited number of blockchains that operate in the fisheries sector. Pacifical Atato is designed to promote and develop yellowfin tuna supply chains of Pacific island nations. Project Provenance Limited seeks to bring an end to the unsustainable fishing practices. Tuna distribution through transparent, novel chains is the goal of TraSeable solutions. Treum explored the investments to develop the supply chains of fisheries in the South Pacific. IBM’s Food Trust traces food supplies, including farmed shrimp from India, and is affiliated with retailers like Walmart, Nestle, etc. OpenSC is a World Wildlife Fund (WWF) project that ensures ethical product sourcing and uses QR (Quick Response) code scanning and RFID (Radio Frequency Technology) to track fish.
AI-Driven Innovations in Cryptography: Enhancing Key Generation and Security
Authors: B Ananda Priya , P Gnanachandra , M Seenivasan
Published: July 2023

In this paper, we introduce a novel approach for securing confidential data through a symmetric key cryptographic algorithm called the modified Hill Cipher by utilizing rhotrices. We provide a step-by-step procedure to implement this method and elucidate the process through an example. The modified Hill Cipher technique uses AI to generate key rhotrix and incorporates the use of rhotrices and rhotrix algebra to encrypt plain text and decrypt cipher text.
Zufriedenheit von Patient*innen und
diversitätssensible Angebote – eine quantitative
Sekundärdatenanalyse
Authors: Kempny Christian , Brzoska Patrick
Published: July 2023

Hintergrund Die Versorgungszufriedenheit hat einen Einfluss auf die
Weiterempfehlung und auf die finanzielle Performance eines Krankenhauses. Unklar
ist, wie sich diversitätssensible Angebote auf die
Versorgungszufriedenheit auswirken.

Ziel Ziel dieser Studie ist es herauszufinden, wie sich das Angebot
einzelner Maßnahmen der diversitätssensiblen Versorgung im
Krankenhaus auf die Zufriedenheit von Patient*innen auswirkt.

Methode Für diese Studie wurden Daten zur Zufriedenheit von
Patient*innen mit Daten aus den Qualitätsberichten zu
diversitätssensiblen Angeboten in den Bereichen Religion und Sprache,
Angebote für Menschen mit einer Behinderung und Strukturmerkmalen
verknüpft. Insgesamt ergab sich so eine Stichprobe von 1460
Krankenhäusern in Deutschland. Mithilfe einer multivariablen
Regressionsanalyse wurde der Einfluss einzelner Maßnahmen auf die
Versorgungszufriedenheit bestimmt.

Ergebnisse Mehr Angebote im Bereich der Religion führen zu einer
signifikant sinkenden Zufriedenheit (B=−0,65). Mehr Angebote
für die Unterstützung von sprachlicher Diversität
steigern die Zufriedenheit signifikant (B=0,28). Die Strukturmerkmale
Krankenhausgröße (B=−1,57 bis
B=−3,78), Trägerschaft (freigemeinnützig:
B=2,03 und privat: B=0,17) und Bundesland
(B=−1,42 bis B=4,50) haben ebenfalls einen signifikanten
Einfluss auf die Zufriedenheit der Patient*innen. Angebote für
Menschen mit einer Behinderung haben keinen Einfluss auf die
Zufriedenheitswerte.

Schlussfolgerung Die Bedeutung von diversitätssensiblen Angeboten
für die Zufriedenheit der Patient*innen kann in dieser Studie
zum Teil dargestellt werden. Einzelne Maßnahmen müssen
allerdings vor verschiedenen Fragestellungen weiter betrachtet werden, um die
genaue Auswirkung auf einzelne Personengruppen festzustellen.
Reale Dauer der fachärztlichen Weiterbildung in Deutschland
– Ergebnisse der KarMed-Studie zehn Jahre nach
Approbation
Authors: Kocalevent Rüya Daniela , Böttcher Vivien , Boczor Sigrid , Scherer Martin , van den Bussche Hendrik
Published: July 2023

Hintergrund Für die ärztliche Qualifikation ist zwischen
dem Studium und der sich daran anschließenden fachärztlichen
Weiterbildung zu unterscheiden Die reale Dauer des Zeitraums zwischen
Approbation und fachärztlicher Anerkennung wird in Deutschland derzeit
nicht systematisch erfasst.

Ziel der Arbeit Mit dieser Studie soll die reale Dauer der
fachärztlichen Weiterbildung in Deutschland untersucht werden. Die
vorliegende Arbeit befasst sich mit dem Einfluss der Fachgebietswahl, einer
Teilzeittätigkeit sowie der Abitur- und Abschlussnote im Medizinstudium,
dem Geschlecht und dem Elternstatus auf die tatsächliche Dauer der
fachärztlichen Weiterbildung.

Material und Methoden Datenbasis der KarMed-Studie ist die postalischen
Befragung einer Kohorte, die im Jahrgang 2008/09 ihr Praktisches Jahr
absolviert hat und anschließend während sieben Messzeitpunkten
– zuletzt in 2019 – während ihrer fachärztlicher
Weiterbildung begleitet wurde. Ausgewertet wurden Daten, die zum sechsten bzw.
siebten Messzeitpunkt, sechs und zehn Jahre nach der Approbation erfasst
wurden.

Ergebnisse Die Mehrheit der Ärztinnen und Ärzte konnte die
fachärztliche Weiterbildung in der Minimalzeit abschließen,
dabei hatte die Fachgebietswahl einen signifikanten Einfluss auf die
Abschlusshäufigkeiten. Bezüglich der Dauer der
fachärztlichen Weiterbildung konnte gezeigt werden, dass insbesondere
Ärztinnen nach zehn Jahren zu einem Drittel noch keine
Facharztanerkennung erreicht hatten. Dabei hatte der Elternstatus einen
signifikanten Effekt in Bezug auf den Abschluss der fachärztlichen
Weiterbildung bei Ärztinnen, nicht aber bei Ärzten.
Regressionsanalytisch (R²corr=0,03, p<.001) ließ
sich zeigen, dass der Stand der Weiterbildung mit der Abschlussnote des
Medizinstudiums assoziiert ist (β=.30). Die Zufriedenheit mit
der fachärztlichen Weiterbildung wurde von Ärzten höher
eingeschätzt wird als von Ärztinnen.

SchlussfolgerungDie Auswertungen der KarMed Studie zeigen, dass weiterhin
Nachbesserungsbedarf besteht, damit die Vereinbarkeit von Beruf und Familie
für Ärztinnen gewährleistet werden kann.
Zukünftige Studien sollten auch die Untersuchung der Auswahlverfahren
der Hochschulen und deren Zusammenhang auf die Dauer der Weiterbildung
untersuchen
A Study on the Clinical Significance of Blood Exosomal PD-L1 in
Non-Small Cell Lung Cancer Patients and its Correlation with PD-L1 in Tumor
Tissues
Authors: Cheng Yonghong , Chang Feiyun , Gong Yanmei , Lu Ping
Published: July 2023

Exosomal programmed cell-death ligand 1 (ePD-L1) can influence immune inhibition
and dysfunction. We were dedicated to unearthing the relation between ePD-L1 in
blood and pathological characteristics as well as PD-L1 in tumor tissues. We
recruited 65 non-small cell lung cancer (NSCLC) patients for exosome extraction
and detected the blood ePD-L1 expression in these patients by enzyme-linked
immunosorbent assay (ELISA) method. Besides, the correlation between blood
ePD-L1 and patients’ pathological characteristics was also analyzed. The
expression of PD-L1 in tumor tissues was tested by immunohistochemistry (IHC)
and its correlation with blood ePD-L1 expression level was analyzed by Spearman
correlation coefficient. No significant correlation was observed in PD-L1
expression levels between blood-derived exosome and tumor tissue. Altogether,
high blood ePD-L1 expression was relevant to NSCLC progression, while no such
relevance to PD-L1 expression in tumor tissue.
The Detection of Date Shifting in Real-World Data
Authors: Evans Laura , London Jack W. , Palchuk Matvey B.
Published: July 2023

Objectives Analysis of health care real-world data (RWD) provides an opportunity to observe the actual patient diagnostic, treatment, and outcome events. However, researchers should understand the possible limitations of RWD. In particular, the dates in these data may be shifted from their actual values, which might affect the validity of study conclusions.

Methods A methodology for detecting the presence of shifted dates in RWD was developed by considering various approaches to confirm the expected occurrences of medical events, including unique temporal occurrences as well as recurring seasonal or weekday patterns in diagnoses or procedures. Diagnosis and procedure data was obtained from 71 U.S. health care data provider organizations (HCOs), members of the TriNetX global research network. Synthetic data was generated for various degrees of date shifting corresponding to the diagnoses and procedures studied, yielding the resulting patterns when various degrees of shifting (including no shift) were applied. These patterns were compared with those produced for each HCO to predict the presence and degree of date shifting. These predictions were compared with statements of date shifting by the originating HCOs to determine the predictive accuracy of the methods studied.

Results Twenty-eight of the 71 HCOs analyzed were predicted by methodology and confirmed by their data providers to have shifted data. Likewise, 39 were predicted and confirmed to not have shifted data. With four HCOs, agreement between predicted and stated date shifting status was not obtained. The occurrence of routine medical exams, only happening during weekdays, for these U.S. HCOs was most predictive (0.92 correlation coefficient) of the presence or absence of date shifting.

Conclusion The presence of date shifting for U.S. HCOs may be reliably detected assessing whether the routine exams should always occur on weekdays.
A Computational and Experimental Analysis of Aldehyde Photooxidation Driven by Visible Light in a Homemade Reactor
Authors: Lagunas-Rivera Selene , Cervantes-González Javier , Mora-Rodríguez Salma E. , Benitez-Puebla Luis J. , López-Caamal Fernando , García-Revilla Marco A. , Vázquez Miguel A.
Published: July 2023

A computational and experimental analysis of HAT mechanism to obtain carboxylic acid via photooxidation of aldehyde is described, using a homemade reactor. The considered photocatalysts are organic dyes such as 2-chloroanthraquinone (2-ClAQN), rhodamine 6G (Rh6G), fluorescein (Fl), and eosin B (EOB); and the light spectrum is that of the visible light.
Dual Channel Endoscopic Mucosal Resection
Authors: Saraidaridis Julia T. , Gaetani Racquel S. , Marcello Peter W.
Published: July 2023

Endoscopic mucosal resection (EMR) is the recommended technique for colon polypectomy for nonpedunculated lesions that are >20 mm in size not requiring excision. Dual-channel EMR (DC-EMR) uses an endoscope with two working channels to facilitate easier submucosal injection, snare resection, and clip closure of polypectomy defects. There is also promising early literature indicating that this endoscopic modality can reduce the overall learning curve present for single-channel colonoscopy EMR. This chapter will describe the steps and techniques required to perform DC-EMR, potential complications, recommended postprocedure surveillance, and future directions.
George W. Bush’s post-9/11 East Asia policy: enabling China’s contemporary assertiveness
Authors: Lee Pak K.
Published: July 2023

It is commonly argued that China’s foreign policy and behaviour have become increasingly assertive since Xi Jinping took the reins of the Chinese Communist Party (CCP). This strategic transformation is seen as paving the way for a direct confrontation between China and the USA since the Trump presidency. Drawing on the logic of international order-building, however, this article argues that the groundwork for this strategic change was laid when Hu Jintao was leading the CCP and that what made it possible was George W. Bush’s China and East Asia policy after 9/11. Bush’s subsequent reduced interest in East Asia enabled China to fill the void left by an absence of US presence and influence in the region. This article asserts that American policy-makers may need to ponder what their order-building project to weaken and exclude an illiberal China should include.
Zooming out the microscope on cumulative cultural evolution: ‘Trajectory B’ from animal to human culture
Authors: Andersson Claes , Tennie Claudio
Published: July 2023

It is widely believed that human culture originated in the appearance of Oldowan stone-tool production (circa 2.9 Mya) and a primitive but effective ability to copy detailed know-how. Cumulative cultural evolution is then believed to have led to modern humans and human culture via self-reinforcing gene-culture co-evolution. This outline evolutionary trajectory has come to be seen as all but self-evident, but dilemmas have appeared as it has been explored in increasing detail. Can we attribute even a minimally effective know-how copying capability to Oldowan hominins? Do Oldowan tools really demand know-how copying? Is there any other evidence that know-how copying was present? We here argue that this account, which we refer to as “Trajectory A”, may be a red herring, and formulate an alternative “Trajectory B” that resolves these dilemmas. Trajectory B invokes an overlooked group-level channel of cultural inheritance (the Social Protocell) whereby networks of cultural traits can be faithfully inherited and potentially undergo cumulative evolution, also when the underpinning cultural traits are apelike in not being transmitted via know-how copying (Latent Solutions). Since most preconditions of Trajectory B are present in modern-day Pan, Trajectory B may even have its roots considerably before Oldowan toolmaking. The cumulative build-up of networks of non-cumulative cultural traits is then argued to have produced conditions that both called for and afforded a gradual appearance of the ability to copy know-how, but considerably later than the Oldowan.
What are the determinants of rural-urban divide in teachers’ digital teaching competence? Empirical evidence from a large sample
Authors: Lin Ruyi , Chu Juan , Yang Lizi , Lou Ligao , Yu Huiju , Yang Junfeng
Published: July 2023

The digital divide between rural and urban areas is becoming the key factors resulting educational imbalance, which might be exacerbated by differences in teachers’ digital teaching competence. Therefore, it was crucial to explore the divide and determinants of digital teaching competence between rural and urban teachers. A large-scale survey was conducted with 11,784 K–12 teachers in China (43.40% from rural schools and 56.60% from urban schools). First, this study investigated potential factors for teachers’ digital teaching competence, including information and communication technology (ICT) attitude, ICT skills, and data literacy. Second, the data indicated the digital divide existed, i.e., the ICT attitude, ICT skills, data literacy, and digital teaching competence of rural teachers were significantly lower than those of urban teachers. Third, the Blinder-Oaxaca decomposition method demonstrated that data literacy and ICT skills were the most important determinants of the divide in digital teaching competence between rural and urban teachers. Hence, our research provided important insights for policymakers, school leaders and teachers to bridge the digital divide.