Basic Form Research Articles

Pilot Scale Assessment of High-Pressure Processing (HPP) to Enhance Microbiological Quality and Shelf Life of Fresh Ready-to-Eat (RTE) Blue Crab Meat.

Blue crab (Callinectes sapidus) is a highly valuable wild fishery species of crab native to the waters of the western Atlantic Ocean and the Gulf of Mexico. The annual commercial production of live blue crabs is approximately 50,000 metric tons with a dockside value of USD 200 million. Presently the US blue crab processing industry sells crab meat in three basic forms: fresh crab meat, pasteurized crab meat, and frozen crab meat. By far "Fresh" is the most desirable form of crab meat. However, fresh crab meat has a limited shelf life. This study evaluated the effects of high-pressure processing (HPP) on enhancing the microbiological quality and shelf life of blue crab meat. Live blue crabs were pressure-cooked in a retort (≥115 °C for 4-6 min). The crab meat was handpicked, packed in plastic containers with seals, subjected to HPP treatment, and stored at 4 °C. Container integrity and water leakage issues were examined by observation in addition to weight comparison before and after HPP treatment; the shelf life of crab meat with and without HPP treatments was examined via microbiological tests and sensory evaluations. Results show that polypropylene containers sealed with 10K OTR (oxygen transmission rate) film could withstand high pressure without water leakage issues; HPP treatment at 600 MPa for 3 min could extend the shelf life of fresh, cooked, and handpicked crab meat from 6 days to 18 days based on the strictest APC (aerobic plate account) limit (APC ≤ 100,000 CFU/g). The sensory quality of the HPP-treated crab meat was well accepted throughout the 3-week storage period. The results support the use of HPP as an effective non-thermal processing technology to enhance the microbiological quality and extend the shelf life of fresh RTE blue crab meat.

An Overview of Audio-Visual Source Separation Using Deep Learning

In this article, the research presents a general overview of deep learning-based AVSS (audio-visual source separation) systems. AVSS has achieved exceptional results in a number of areas, including decreasing noise levels, boosting speech recognition, and improving audio quality. The advantages and disadvantages of each deep learning model are discussed throughout the research as it reviews various current experiments on AVSS. The TCD TIMIT dataset (which contains top-notch audio and video recordings created especially for speech recognition tasks) and the Voxceleb dataset (a sizable collection of brief audio-visual clips with human speech) are just a couple of the useful datasets summarized in the paper that can be used to test AVSS systems. In its basic form, this review aims to highlight the growing importance of AVSS in improving the quality of audio signals.

Boltzmann-Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric.

The recent introduction of geometric partition entropy offered an alternative to differential Shannon entropy for the quantification of uncertainty as estimated from a sample drawn from a one-dimensional bounded continuous probability distribution. In addition to being a fresh perspective for the basis of continuous information theory, this new approach provided several improvements over traditional entropy estimators including its effectiveness on sparse samples and a proper incorporation of the impact from extreme outliers. However, a complimentary relationship exists between the new geometric approach and the basic form of its frequency-based predecessor that is leveraged here to define an entropy measure with no bias toward the sample size. This stable normalized measure is named the Boltzmann-Shannon interaction entropy (BSIE)) as it is defined in terms of a standard divergence between the measure-based and frequency-based distributions that can be associated with the two historical figures. This parameter-free measure can be accurately estimated in a computationally efficient manner, and we illustrate its utility as a quality metric for subsampling in the context of nonlinear polynomial regression.

Forms of defense of the rights and interests of teachers

In this article, are analyzed the forms of defense of the employees’ rights and interests, with application to teachers, and the possible means of achievement within the various forms. At the same time, an attempt is made to determine the role played by teachers, and the place occupied by the alternative forms of protection of rights and interests – civic, juris-dictional non-judicial etc. – in relation to the basic forms of defense of rights and interests – judicial and administrative. As an example of the rights and facilities obtained by teachers in this way, is analyzed the acting collective bargaining agreement, as well as the conditions under which the teachers will be able to benefit from these facilities. The method used in the research includes the analysis of the normative framework in force, including the domain related social part-nership acts and the synthesis of existing rights and guarantees, resulting from collective bargaining.

Strategie innowacji produktowych chińskich producentów na rynku samochodów elektrycznych

Product innovation strategies of Chinese EV manufacturers Climate change and the effects of global warming are one of the most important problems in the modern world. The effects of these phenomena affect the everyday life of societies and the functioning of enterprises, industries, and entire sectors of the world economy. Therefore, appropriate legal and economic regulations have been and are being introduced at state level. Reducing exhaust emissions is the primary goal of electrification of the automotive industry, because the internal combustion engine is inefficient in terms of energy (it burns a lot of fuel and emits large amounts of harmful exhaust gases). The result of this transformation of the automotive industry is the creation of a new product, the electric car (EV), which makes possible the decarbonization of transport. In 2022, global EV sales totaled 10.5 million units, an increase of 55% compared to the previous year. The largest increase in EV sales in the world was once again recorded in China: by 82% year-on-year. China is by far the largest EV market, accounting for 59% of global EV sales in 2022. Currently, the dynamic nature of the market environment for electric car companies influences the development of product innovations. The basis for shaping product strategies is the company’s designated goal, the size and structure of its resources, and its innovative potential. The size and structure of the resources at its disposal and its skills (especially in the field of research and development, technology and financial resources) determine the possibilities of taking creative actions in the field of products. This potential directly affects the range of products offered, their technical level and quality. Activities located within the company’s long-term strategy should take into account changes in buyer preferences, technological progress, activities of competitors, as well as innovative activities of enterprises from supporting industries. Vehicle manufacturers are introducing more and more EV models, contributing to the electrification of road transport. They see the direction of development in the coming years and know that the expansion of the BEV market is inevitable. However, many automakers have different strategies for transitioning to EVs. Tesla has been producing EVs from the beginning and has become a market leader, meeting consumer expectations by introducing various product innovations in terms of energy consumption, charging speed, and range on a single charge. Chinese manufacturers, like BYD or Geely, have started to play a significant role in this race. The aim of the article is to discuss the basic forms of product innovation used by Chinese EV manufacturers. Additionally, the authors of the article try to answer the question as to whether Chinese EV manufacturers are able to achieve a significant share in other world markets by using product innovations in their EV vehicles, compared to their competitors’ meeting customer needs.

Generalized Hyperbolic Discounting in Security Games of Timing

In recent years, several high-profile incidents have spurred research into games of timing. A framework emanating from the FlipIt model features two covert agents competing to control a single contested resource. In its basic form, the resource exists forever while generating value at a constant rate. As this research area evolves, attempts to introduce more economically realistic models have led to the application of various forms of economic discounting to the contested resource. This paper investigates the application of a two-parameter economic discounting method, called generalized hyperbolic discounting, and characterizes the game’s Nash equilibrium conditions. We prove that for agents discounting such that accumulated value generated by the resource diverges, equilibrium conditions are identical to those of non-discounting agents. The methodology presented in this paper generalizes the findings of several other studies and may be of independent interest when applying economic discounting to other models.

교과서 내 장단의 개념 정립 방안 연구

Purpose: The purpose of this study was to present a unified method of notating the correct concept of Jangdan in textbooks by systematizing both Jeongganbo and stave notation.
 Methods: Following understanding the notation of the basic Jangdan form and designated songs within textbooks, suggestions were made for a unified notation system. Furthermore, instead of the division theory found in Western music, a beat system based on set theory was devised for establishing the concept of Jangdan.
 Results: The proposed notation method for establishing the concept of Jangdan is as follows. First, there is a need to unify the notation of Eotmori jangdan, known as Honsobak jangdan, with other Jangdan was emphasized for a standardized beat notation. Through this, one can establish beat notationwithin the same category and grasp the characteristics of Jangdan. Second, it was suggested that the concept of set theory should be recognized through Jeongganbo. At the point where Jangdan is being notated and taught concurrently with Jeongganbo and stave notation, bak formed in a manner opposite to Western musical notes, and further, the characteristics of rhythms formed by sets of beats should be understood through Jeongganbo. Therefore, a Jeongganbo notation that matches the levels of beats, which are composed of small Sobak-Bak-Daebak, was reconstructed and presented. Third, a Jangdan score that can educate Jangdan focusing on breathing was presented. The advantage of Jangdan noted with a Sobak is that one can visually confirm the detailed progression of beats. However, if one does not grasp it correctly, they cannot understand the hierarchy of beats. Hence, Jeongganbo without divided Sobak was also utilized for educational purposes to comprehend the characteristics of Jangdan.
 Conclusion: Jangdan is the most critical teaching element in traditional Korean music education. To form the concept of Jangdan based on set theory, it is essential to systematically present the notation methods of beat notation and Jeongganbo. It is hoped that ongoing research for the accurate establishment of the concept of beats and Jangdan will result in a unified rhythm notation system in music textbooks based on the 2022 revised music and education curriculum.

The Use of Jargon in Whatsapp Chatting by UKI Toraja Students

This research aims to describe the forms of jargon used by WhatsApp users among students at the Toraja Christian University in Indonesia. This qualitative research relies on data collected from WhatsApp users among students at Toraja Christian University. The data is gathered through (1) reading techniques and (2) note-taking techniques. The results of this research indicate that, in terms of form, the jargon used by WhatsApp users among students at Toraja Christian University consists of four forms: basic word forms, abbreviation forms, phrase forms, and acronym forms.

In-plane multiple heterogeneous Bi4O5I2/β-Bi2O3 nanoflowers with S-type scheme for efficient photocatalytic CO2 conversion

The assembly of heterogeneous photocatalysts with unique structures by 2D heterojunctions is an advanced strategy for efficient solar energy conversion. However, heterogeneous photocatalysts constructed from 2D materials will suffer from high photogenerated charge recombination and low light absorption due to the arbitrary stacking and weak bonding of lamellae. Here, flower-like Bi4O5I2/β-Bi2O3 (FL-Bi4O5I2/β-Bi2O3) heterojunctions are developed in situ using FL-δ-Bi2O3 as the starting material. It is noteworthy that the basic compositional form of the material was well maintained throughout the synthesis. Besides, due to the random reaction of iodide ions with the exposed surface of δ-Bi2O3, multiple heterogeneous regions are displayed on the basic lamellar units constituting the Bi4O5I2/β-Bi2O3 nanoflowers. Theoretical and experimental results reveal that FL-Bi4O5I2/δ-Bi2O3 possesses not only improved photogenerated carrier separation, enhanced light harvesting, but also considerable CO2 adsorption. Importantly, FL-Bi4O5I2/β-Bi2O3 achieves S-scheme CO2 conversion due to its reasonable energy band structure, and with the CO generation rate of up to 31.74 μmol g−1h−1 under simulated sunlight.

Crime in the Context of Philosophy of History

Methodological foundations for improvement of criminological science involve the expansion of its interdisciplinary connections, including its connections with philosophy and history. This makes it possible to study crime as a certain social process taking place in the general logic of the development of society and subordinate to it. The classical philosophy of history offers several options for understanding the meaning and driving forces of the historical process that predetermine competing views on the history of crime. Theology and Marxism, fundamentally differing in their view of the mechanism of history, provide an understanding of crime as a linearly developing process that has its origins in the past, but inevitably disappears in the future as the «end of history» is reached. Cyclical concepts of the historical process allow us to look at crime as an eternal, indestructible phenomenon that changes its basic forms as historical cycles change and in accordance with the basic parameters of this cycle itself. The concepts of multifactorial historical development determine an emphatically sociological explanation of crime, within which its state can be assessed outside the context of the past and future. The postmodern challenge to universal classical historiosophical concepts has actually destroyed their explanatory significance and methodological value. At the same time, postmodernism creates favorable opportunities for understanding the process of crime as an integral part of many parallel and overlapping histories: the history of liberalism, the history of economics, the history of preserving national identity, etc. In this case, crime stories (plural) appear in place of crime history (singular). And only such a multi-layered view of the processes of crime development and its connection with social processes can provide adequate methodological support for criminological research. In this regard, the results of the study can be considered as a contribution to the development of historical criminology, which is gaining relevance.

THE IMPLEMENTATION OF CARTOON VIDEO TO IMPROVE THE IMPLEMENTATION OF CARTOON VIDEO TO IMPROVE THE EIGHTH-GRADE STUDENTS’ PRONUNCIATION SKILL AT SMP NEGERI 12 DENPASAR

Pronunciation is one of the essential nouns that are based on oral and basic forms skill to speak English and other languages. Learning English pronunciation can help students to pronounce words and sentences correctly. Clear pronunciation makes it easy for students to understand and produce intelligible sounds, therefore pronunciation learning has become an important aspect in teaching. This research used the Classroom Action Research (CAR) methodology. The result showed that the best implementation of cartoon videos was proven to improve students’ pronunciation skills. In order to achieve the best implementation of cartoon video to improve students’ pronunciation skill, there were three factors that must be considered: Learning system, speech rate, and the students’ frequency in practicing pronunciation. Besides, the findings also showed that most of the students had a positive perception of the use of cartoon videos in learning pronunciation. Most of the students felt helped in learning pronunciation using cartoon videos. They also felt more interested and motivated in pronunciation learning process. Therefore, it can be concluded that the cartoon videos was the suitable media to teach pronunciaciton and had been proven to improve students’ pronunciation skills through its best implementation.

Gain of Spatial Diversity with Conjoint Signals in Arbitrarily Correlated Rayleigh Fading Channels

Coding gains for arbitrarily correlated signals in a spatial diversity system with conjoint signals are presented in this study. The basic form of the proposed signal synthesizer evenly produces phase changes in the output signals. The mixer is an orthogonal transformation matrix, which is energy preserving and blind to the channel correlation matrix. The idea is to synthesize additional conjoint signal copies from the received signals that would be received if there were more antennas. However, these conjoint signals contain a level of correlation with the received signals. With the assumption of flat Rayleigh fading channels, simulation results for symbol error probability (SEP) are presented for different numbers of receive branches and varying correlation conditions. It is shown that under binary phase shift keying (BPSK), the synthesizer achieves decorrelation coding gains of about 1 dB when selection combining (SC) or equal gain combining (EGC) is used. The synthesizer’s performance across M-ary quadrature amplitude modulation (MQAM) signals is also tested. In addition, analytical frameworks are derived for BPSK and MQAM, which are tightly bound by the Monte Carlo simulation results obtained using Matlab. The correlation analysis is performed for different numbers of antennas and varied antenna spacings.

V-Learning—A Simple, Efficient, Decentralized Algorithm for Multiagent Reinforcement Learning

A major challenge of multiagent reinforcement learning (MARL) is the curse of multiagents, where the size of the joint action space scales exponentially with the number of agents. This remains to be a bottleneck for designing efficient MARL algorithms, even in a basic scenario with finitely many states and actions. This paper resolves this challenge for the model of episodic Markov games. We design a new class of fully decentralized algorithms—V-learning, which provably learns Nash equilibria (in the two-player zero-sum setting), correlated equilibria, and coarse correlated equilibria (in the multiplayer general-sum setting) in a number of samples that only scales with [Formula: see text], where Ai is the number of actions for the ith player. This is in sharp contrast to the size of the joint action space, which is [Formula: see text]. V-learning (in its basic form) is a new class of single-agent reinforcement learning (RL) algorithms that convert any adversarial bandit algorithm with suitable regret guarantees into an RL algorithm. Similar to the classical Q-learning algorithm, it performs incremental updates to the value functions. Different from Q-learning, it only maintains the estimates of V-values instead of Q-values. This key difference allows V-learning to achieve the claimed guarantees in the MARL setting by simply letting all agents run V-learning independently. Funding: This work was partially supported by Office of Naval Research Grant N00014-22-1-2253.

Despair as a Basic Form of Self-Alienation: An Outline of Kierkegaard’s Dialectics

Despair as a Basic Form of Self-Alienation: An Outline of Kierkegaard’s Dialectics

Lala activists in dark times: queer feminist resistance to the cyber-nationalist attacks in China

This article explores the challenges faced by Chinese queer feminist activists as they navigate the rise of cyber-nationalist attacks. Drawing from the author’s involvement in China’s lala and feminist movements, activists writings, and three interviews, the article discusses how lala activists cope with the rising Chinese cyber-nationalism through various strategies and reconceptualize activism beyond identity groups. The first part of the paper situates the rise of nationalism in Chinese cyberspace in relation to global neo-fascism, identifying the overlapping cyber-trolling infrastructures, the basic form of “palingenetic ultra-nationalism”, and the anti-gender/queer sentiments in neo-fascist movements transcending ideological and political divisions in different regions. The second part discusses the difficulties faced by lala activists when dealing with imbalanced accountability and censorship, as well as the “hegemonic masculinity” in cyber-nationalist attacks, revealing that hegemonic masculinity seeks not only to reinforce traditional gender norms but also to control everyone’s personal lives. The last part argues that Chinese lala activists’ friendship-based alliances provide a valuable strategy under intensifying cyber-nationalism and state censorship. By engaging in diverse social issues and collaborating with various groups, this friendship-based solidarity prioritizes a caring life and fosters a situation where activists explore different social issues, initiate actions, and seek supporters based on specific issues instead of identities. This strategy may offer valuable insights into feminist/queer resistance during dark times, when the rise of global neo-fascism and its appropriation of identity discourse increasingly creates incommensuration between national identities and gender/sexuality identities.

Innovative and entrepreneurial characteristics of university students based on logistic regression model

Abstract This paper proposes a logistic regression model with structural sparsity to study the characteristics of innovation and entrepreneurship among college students. The article first analyzes the basic form of the logistic regression model, including the objective function and the selection method for the penalty function. Then, because the ADMM algorithm combines the advantages of augmented Lagrangian and pairwise decomposition, which can reduce the computational difficulty and complexity, based on this advantage, this paper designs the ADMM algorithm solution framework that is favorable for distributed computing. Finally, this paper analyzes the relationship between the development of innovation and entrepreneurship ability of students in R colleges and universities and their gender, grade, academic foundation, experience in clubs and discipline type. The results yielded that college students’ mean value of innovation and entrepreneurship competence in HEI R was 3.734. The mean value of the scores of each sub-competence ranged from 3.531 to 3.918, which puts the overall innovation and entrepreneurship competence of students in this university at an intermediate level. Therefore, this study plays an important role in understanding the innovation and entrepreneurial characteristics of students in higher education.

“About God at war”. Forms and features of religious Internet folklore pertaining to the Russo-Ukrainian war

The article focuses on the issue of religious online folklore disseminated in connection with the Russian invasion of Ukraine on the popular social media platform Facebook (Ukrainian version), between April and June 2022. The aim of the analysis of the collected material presented in the text is to show the basic forms and functions of religious folklore in the context of the Russo-Ukrainian war, their relationship with other messages of religious content (prayers, appeals and supplications) and the specificity of Internet communication. The authors undertake to show the connections the studied messages exhibit with religious thinking and the Christian tradition on a verbal and visual level, as well as the identity of the Ukrainian people. They also point to the importance of Internet communication in times of helplessness and deep crisis.

Fluctuations and individual differences in empathy interact with stress to predict mental health, parenting, and relationship outcomes.

Empathy is a complex, multifaceted ability allowing for the most basic forms of social communication and plays a prominent role in multiple aspects of everyday lives. In this intensive longitudinal study, we assessed how empathy interacts with stress to predict central domains of psychosocial functioning: mental health, romantic relationships, and parenting. Fluctuations and individual differences in empathy were assessed across eight time points, where participants from the general population (N = 566) self-reported their empathy, stress, depressive symptoms, romantic satisfaction, and parental functioning. Both trait and state aspects of empathy were associated with all psychosocial outcomes, with state empathy showing a stronger effect. Additionally, empathy components interacted with stress-emotional empathy better-predicted outcomes under high stress, while cognitive empathy under low stress. Our findings advance the theoretical understanding of empathy, emphasizing the effects of state-dependent empathy fluctuations on our everyday mental and social lives.

Relationship between Longitudinal Upper Body Rotation and Energy Cost of Running in Junior Elite Long-Distance Runners.

Running is a basic form of human locomotion and one of the most popular sports worldwide. While the leg biomechanics of running have been studied extensively, few studies have focused on upper-body movement. However, an effective arm swing and longitudinal rotation of the shoulders play an important role in running efficiency as they must compensate for the longitudinal torques generated by the legs. The aim of this study is to assess the upper-body rotation using wearable inertial sensors and to elucidate its relation to energy expenditure. Eighty-six junior elite middle- and long-distance runners (37 female, 49 male) performed an incremental treadmill test with sensors attached on both shoulders, tibiae and the sacrum. The mean and total horizontal shoulder and pelvis rotations per stride were derived while energy costs were determined using respiratory gas analysis and blood sampling. Results show that shoulder and pelvis rotations increase with running speed. While shoulder rotation is more pronounced in female than in male runners, there is no sex difference for pelvis rotation. The energy cost of running and upper trunk rotation prove to be slightly negatively correlated. In conclusion, upper body rotation appears to be an individual characteristic influenced by a sex-specific body mass distribution.

Relationship of Dermatoglyphics with Dental Caries among Pre-School Children- A Hospital Based Study

IntroductionDermatoglyphics is the study of the intricate dermal ridge patterns on the skin covering the palmar and plantar surfaces of hand and feet. The basis of considering dermatoglyphic patterns as genetic marker for dental caries is that the epithelium of finger buds as well as enamel has ectodermal origin, and both develop at the same time of intrauterine life.MethodsThis study was conducted to examine the relationship ofdermatoglyphics with dental caries among 310 childrenaged 2-6 year old in a private dental hospital in Kathmandu, Nepal. The prevalence of caries was recorded using “Dentition status and treatment needs” (WHO basic oral health assessment form, 1997). They were divided into three groups as follows: Group I (dmft score =0–2), Group II (dmft score = 3–4) and Group III (dmft score ≥5). Black duplicating ink was used to record finger prints (both right and left hand) of all the subjects .The frequency of occurrence of type of dermatoglyphic pattern on fingertip of each digit was noted.ResultsNo statistically significant association was seen between dermatoglyphic pattern and dental caries in right hand. Statistically significant association was seen between dermatoglyphic pattern and dental caries in 3rd digit of left hand (P-value <0.05).ConclusionsDermatoglyphics serves as a diagnostic tool in predicting dental caries at an early age and hence preventive treatment strategies can be planned.