bluuebunny/crossref_metadata_2025 huggingface dataset:
Where do Critical Pedagogy and Language Needs Analysis meet? English as an Additional Language for Adult Refugees and Mi-grants in Greece: A Case Study
Authors: Maligkoudi Christina , Mouti Anna , Triantafyllou Eleni
Published: April 2023

Background. Language classes organized for adult refugees and migrants are heterogeneous. Students in these educational settings differ across a number of various aspects, including language competences, educational background and levels of literacy. Seen through the Critical Pedagogy lens language is considered not simply as a means to express or communicate, but as a product constructed by the ways language learners recognise themselves, their social surroundings, their histories, and their potentialities for the future.

Purpose. The purpose of our study is to unfold and identify the language needs of a specific group of migrants learners learning English as an additional language in Greece, where English is not the dominant language. We will try to focus and analyse language needs through the critical pedagogy lens and thus make the whole procedure an empowerment tools for the adult refugees and migrants.

Method. As a case study, this study follows a qualitative research design. Τhis small-scale study focuses on a specific target group of language learners and their needs and attitudes towards learning. Class observations, field notes, interviews with the participants and questionnaires with open-ended questions were used as main methodological tools.

Results. The present article examines the needs of a group of immigrant adult learners attending English language classes at a non-formal educational setting located in Greece. The participants come from diverse ethnic and linguistic backgrounds and the majority of them speak Greek fluently since they have resided in Greece for a long time. A focal point throughout the process was students’ greater involvement in the learning procedure and decision-making processes regarding the content and the presentation of the educational material.

Conclusion. Although the systematic needs analysis revealed that the reasons for participation and competence levels among participants varied a lot, a common goal for everyone was achieving oral fluency in the target language. Moreover, the results of this attempt were expressed n terms of learners’ contributions, willingness to share their stories, even to talk about difficulties they met and caring about their classmates’ stories. Thus, we suggest that the incorporation of personal experience in the learning process, not only functions as a link between students and language but also a process for team bonding and motivation.
Modified NEBNext® VarSkip Long SARS-CoV-2 Enrichment and library prep (Native Barcoding Kit V14 Oxford Nanopore Technologies)- adapted for wastewater samples v1
Authors: Judy Kathryn
Published: April 2023

This protocol details methods for the preparation of SARS-CoV-2 sequencing library using VSL primers from NEB, adapted for wastewater samples. This protocol produces multiplexed amplicon libraries suitable for sequencing on Oxford Nanopore Technologies® (ONT) MinION systems using ONT V14 chemistry (SQK-NBD114).
ARIAS: An AR-based interactive advertising system v2
Authors: not provided wantchoosejoy
Published: April 2023

ARIAS is an AR-based advertising system, it can be manipulated by gestures interactively.
Organelle Tag Introduction in Mouse Embryonic Fibroblasts (MEFs) v1
Authors: Taylor Matthew
Published: April 2023

We describe here a method to generate MEFs stably expressing a lysosome localized TMEM192-3×HA fusion protein (“LysoTag”), or a Golgi localized TMEM115-3×HA fusion protein (“GolgiTag”). The fusion proteins mark lysosomes or the Golgi apparatus, respectively, with a triple HA epitope, enabling the rapid isolation of intact tagged organelles from cells using an anti-HA antibody. The purified organelles can then be analysed with a variety of techniques including immunoblotting analysis and proteomic, lipidomic, or metabolomic analysis.This protocol can be adapted to introduce organelle tags in commonly cultured cells, such as HEK293 and A549 cells. For MEFs, we recommend performing a Simian Virus 40 (SV40) immortalisation of primary cells prior to the introduction of the organelle tag, which is also described here.
Molecular Phylogeny of Long-Tailed Giant Rats (Muridae: Genus Leopoldamys) Based on Mitochondrial Cytochrome B Sequences
Authors: Saarani Mohamad Azam Firdaus , Yong Hoi-Sen , Md-Zain Badrul Munir , Leonard Jennifer A. , Omar Hasmahzaiti
Published: April 2023

Two species of Leopoldamys long-tailed giant rats are found in Peninsular Malaysia. They are currently referred to as Leopoldamys ciliatus which inhabits montane habitat, and Leopoldamys vociferans which usually inhabits the lowland forest. To date, there is no report on the phylogenetic relationship of L. ciliatus with the other Leopoldamys taxa. The present study was carried out to determine its relationship, based on the mitochondrial cytochrome b (cyt b) gene sequence, with L. vociferans of Peninsular Malaysia and other congeners. Phylogenetic analysis shows that L. ciliatus is a sister-species to the lineage L1 of L. herberti and L. revertens, and is distantly related to L. edwardsi. L. vociferans, and L. sabanus form a distinct clade (lineage L5) from the other Leopoldamys taxa from Indochina. The Sumatra taxon currently known as L. sabanus is genetically distinct to L. vociferans with K2P distances between 0.065 and 0.069. Contrary to previous opinions, L. herberti, L. revertens, and L. neilli of Indochina are valid species based on more than 2.5% threshold genetic distance. Both the L. edwardsi and L. neilli species complexes are represented by several sibling species. A more extensive taxon sampling from various regions (particularly Sumatra and other regions of Indonesia) as well as the use of morphological and molecular (mitogenomes or multiple genes) data sets are needed to provide a robust phylogeny and systematics.
Investigation of Gene Variation Among Non-Alcoholic Fatty Liver Disease Patients in Gaza Strip: A Preliminary Study
Authors: Al-Qatati Abeer , l-Beltaji Ali A , Alzaharna Mazen
Published: April 2023

The prevalent hepatic presentation of the metabolic syndrome is a non-alcoholic fatty liver disease (NAFLD), one of the most common types of chronic liver illnesses. Patients with NAFLD may develop liver damage depending on their genetic heritage. In this preliminary study, our main aim was to detect the genetic association of p85α (Met326Ile), PNPLA3 (C>G), IL28B275 (A>G), and IL28B860 (C>T) single nucleotide polymorphisms (SNPs) with steatosis and NASH in patients from Gaza Strip. We performed an SNP analysis by RFLP-PCR in 33 cases of steatosis and 28 cases of non-alcoholic steatohepatitis (NASH), in addition to 29 age- and sex-matched controls. We found that only the mutant T allele of IL28B860 was significantly associated with an increased risk of steatosis (P = 0.04). The other studied alleles and genotypes were not significantly associated with increased or decreased risk of steatosis, NASH, or combined steatosis or NASH groups. Among all of the studied variables (age, sex, diabetes, and BMI), only BMI was significantly associated with an increased risk of steatosis as well as NASH. A linkage disequilibrium analysis showed that the association between the two SNPs of IL28B860 and IL28B275 was significant. Having the TG haplotype increased the risk of steatosis by 2.97 fold and the risk of combined steatosis or NASH by 2.44 fold. This haplotype increased the risk of NASH, but the effect was not significant.
Characteristics of Different Groups of Flare-CME in the Minimum to Rising Phase of Solar Cycle 24
Authors: Mohamad Ansor N. , Hamidi Z.S. , Shariff N.N.M.
Published: April 2023

Coronal Mass Ejections are significant solar events that involve intense explosions of magnetic fields and mass particles out from the corona. As the hot plasma are brought by the solar wind into the Earth’s magnetosphere, geomagnetic storm is generated and causing malfunctions in telecommunication and power systems. This study is aimed to investigate the distribution of flare-CMEs characteristics which occurred at the beginning phase of solar cycle 24, from Dec. 2008 until Dec. 2013. In the analysis, all events are classified according to their class of flares associated with the CMEs. The CMEs that are accompanied by A, B, and C flares are categorized as low group flare-CME, while CMEs with M and X flares are placed under high group flare-CME. Afterwards, they are analyzed to observe the distribution of their main CME properties; velocity, acceleration and angular width. At the end of the study, we found that velocity and angular width are the two properties that have high influential for high and low groups, with R value of 0.36 and 0.67, respectively. Most of high group flare-CMEs showed up in 360° as well as low group flare-CMEs if the associated minor flares lasted longer than 30 min. Furthermore, the speed range of 360° high and low class flare-CME cannot be defined from the results since all of them propagated at fluctuating velocity. Hence, it is believed that full halo CMEs have no velocity boundary as they can travel from 500 km/s and go beyond 2500 km/s.
HISTORICAL BACKGROUND OF MATHEMATICAL GEOLOGY AS DEFINED BY VISTELIUS
Authors: THIERGÄRTNER HANNES
Published: April 2023

This paper is dedicated to Andrey Borisovich Vistelius for his contribution to the development of the mathematical geosciences and to his formulation of the term ‘mathematical geology’.

The mathematical geosciences as a scientific subdiscipline were independently developed in several countries. J. C. Griffiths, W. C. Krumbein, and A. B. Vistelius are the most commonly recognized founders of mathematical geology. The term ‘mathematical geology’ is generally attributed to Vistelius. He began applying mathematical algorithms to solve practical geological problems in the 1940s. This new discipline was explicitly defined in his standard work Principles of Mathematical Geology published in Russian in 1980 and translated into English in 1992. Vistelius’ definition is focused on two main aspects: (1) Mathematical models developed and applied in geology in a broad sense must be conceptual, that is, they must be based on geoscientific ideas of the studied object; (2) Suitable mathematical models have to be probabilistic because most geological properties and events show a stochastic character. Modern definitions of the term ‘mathematical geosciences’ remain similar to Vistelius’ version.
Directions and conditions for solving topical issues of linguistic support for forces under the conditions of martial law in Ukraine
Authors:   Taras Shevchenko national University of Kyiv, Sameliuk А. , Tychyna І. ,   Taras Shevchenko national University of Kyiv, Mitkina Y. ,   Military Academy, Odesa, Ukraine
Published: April 2023

LSF is interpreted quite ambiguously within Ukrainian scientific discourse. The term lacks clarity in delineating a single meaning, systematic use and pronounced tendency towards ambiguity within the sectoral (philological-pedagogical and military-pedagogical) conceptual field. Currently, LSF covers completely communicative and functional spectrum related to the military area. However, they primarily mean studies of military translation and Ukrainian military's foreign language training (especially in English). The aim of the present research is to outline the actual concerns and concepts of the linguistic support for forces (LSF) throughout the wartime, to outline the tasks of the LSF in the focus of present events in Ukraine and, in particular, in the educational process of the military in the state of full-scale war. In addition, there is a purpose to focus on those topical questions of the LSF, which have arisen or acquired aggravation with the beginning of the Russian-Ukrainian war confrontation. It was found that war always has a worldwide global essence. Even though it is concentrated locally in geographical dimension (like in Ukraine). Therefore, in the paradigm of up-to-date war events and their effects, language as an instrument of understanding and cooperating between various participants of war has a wide range of extremely important functions. Especially while speaking about foreign languages, which play an indispensable operating and strategic, additionally also ideological role in war narratives. The works of prominent scientists on the subject of LSF identifies promising directions for the improvement of LSF in Ukraine. They were analyzed in the article. The significance of implementing special computer technics and software into the LSF field was highlighted. This would fasten the process of working out the large layers of information and allows having quick essential communication in a timely manner. Under the conditions of martial law adequate messaging is necessary. Whether in real time or under situations of remote (asynchronous) communicative interaction. In the field of foreign language training of the military as one of the fundamental problem of LSF as a discipline and field of knowledge, it has been observed that the tendencies to train the military in an authentic foreign language environment are maintained. The very format of such acquisition of foreign language competences appears in current literature (scientific, special, in the documentation of the Armed Forces of Ukraine, etc.) as the most advantageous for successful language training of military personnel. In addition, learning in reliable foreign language surroundings contributes to compliance with NATO canons.
Cualidades de la práctica contable bajo las Normas Internacionales de Información Financiera-NIIF en las Pequeñas y Medianas Empresas del (Atlántico, Colombia): Un estudio etnográfico.
Authors: Contreras Cuentas Margarita Maria , Rojano Alvarado Yolmis Nicolas , Castrillón Cifuentes Jaime
Published: April 2023

La implementación de las NIIF en el contexto productivo, y el liderazgo del Contador Público como actor principal en la dinámica económica, ubicó a las PyMEs como fuerza productiva de interés en el desarrollo de los mercados en un impacto global. El presente articulo tiene como propósito descubrir las cualidades de la práctica contable en las Normas Internacionales de Información Financiera-NIIF en las Pequeñas y Medianas Empresas del departamento del Atlántico -Colombia. De tal manera, que haciendo uso del paradigma cualitativo y a través del método etnográfico se procedió a la aplicación de 27 entrevistas a profundidad con profesionales de la Contaduría Pública en el departamento del Atlántico - Colombia. Los hallazgos permitieron el surgimiento de seis (6) categorías emergentes (cualidades) desarrolladas en la aplicación de las NIIF en las PyMEs de esta reconocida región comercial, ubicándolas en marco de niveles de competitividad desde lo local, nacional e internacional. Finalmente, esta investigación adquiere significado e interés al sugerir en la gestión de la información contable y su uso de manera integral en las PyMEs, sigue siendo un campo poco estudiado, como también el rol del contador público como eje transformador en este proceso y de sus incidencias en escenarios globalizados.
Comunicación y humanización para el fortalecimiento de la calidad de los proveedores de servicios de salud en Colombia
Authors: Hernandez Palma Hugo Gaspar , Batista Zea Karina del Carmen , Pitre Redondo Remedios Catalina
Published: April 2023

El presente artículo reúne brevemente reflexiones respecto al eje temático de la comunicación y humanización para el fortalecimiento de la calidad de los proveedores de servicios de salud en Colombia, el mismo está compuesto por dos términos que resultan inseparables, comunicación y humanización. En consecuencia, con el propósito antes mencionado, se ha diseñado un breve recorrido temático que expone este conjunto de aportaciones epistemológicas. En el abordaje del estudio se analiza el nivel de satisfacción de los usuarios que recibieron atención en los servicios de salud en la ciudad de Barranquilla, con la finalidad de explicitar de la comunicación y humanización para el fortalecimiento de la calidad de los proveedores de servicios de salud. Igualmente, en función de su naturaleza del estudio y la significación del conocimiento, se enmarca en el paradigma positivista, analítica-empírica. El instrumento utilizado es un cuestionario dicotómico, con respecto al análisis de datos se utilizó el programa SPSS. Finalmente, se concluye que el 55% de la muestra seleccionada, indican un estado de satisfacción de la población objeto de estudio, mientras que un 45% no en procesos y procedimientos administrativos se denota la necesidad de mejora en estas instituciones, a partir de que dichos aspectos presentan una satisfacción valorada por debajo del 50%. Además, es necesario rediseñar procesos administrativos para lograr una mayor de los usuarios que accedan a servicios de salud en las instituciones de la ciudad.
Development of ecological management system for planted forest based on ELM deep learning algorithm
Authors: Wang Zhe
Published: April 2023

Plantations play a central and lever role in maintaining the ecological balance of the earth, maintaining the overall function of the terrestrial ecosystem, and promoting the coordinated development of economic society and ecological construction. In order to strengthen the ecological management of plantation forests and improve the ecological level of forest region, the C/S framework is taken as the basic structure, and the programming mode of business model-user interface controller is used, on J2EE platform. The ecological management system of a planted forest is constructed by the evaluation module, the principal component comprehensive analysis module of ecological function value and the demand prediction module of planted forest based on extreme learning machine and deep learning algorithm, and runs under the support of windows system, oracle 15G and above database software. The indexes and factors affecting the ecological function of plantation forests were evaluated and analyzed, and the final management decision was given by the prediction module. The results showed that the plant density significantly affected plant biomass, organic carbon storage, water content and nutrient accumulation, and the comprehensive evaluation indexes of four ecological functions increased from 32.69, 31.84, 33.71 and 35.46 to 86.18, 89.46, 89.83 and 88.76, respectively. Although the degree of influence of the system on lemon strip plants, herbaceous plants, surface litter and soil varies, it still has good feasibility, effectiveness and practicality, and can assist the scientific ecological management of artificial plantation forests.
The Impact of Reform on the Economic Growth Trajectory of Sub-Saharan Africa
Authors: Abdelbary Islam
Published: April 2023

The research examines why sub-Saharan African (SSA) nations have seen unsatisfactory economic development by assessing the reform programmes implemented during the last three decades. Based on an enhanced neoclassical growth model framework generated from a dynamic panel for 12 African nations from 1995 to 2019 using data from the LSDCV dynamic panel. The findings revealed that insufficient changes, particularly in governance and the institutional environment, had been implemented. Stability in the macroeconomic environment, structural reform, and physical infrastructure are all necessary for an efficient reform process and development of the developing world's growth prospects. Reform implies that it is political, social, and economical simultaneously. Political and economic reform should be carried out in tandem.
Level of lipid profile and liver enzyme of diabetic male rats induced by streptozotocin treated with forxiga
Authors: H. Hadi Wala'a , T. Khudair Teeba , G. Al-Fartosi Khalid
Published: April 2023

The present study including study Level of lipid profile and liver enzyme of diabetic male rats induced by streptozotocin The study was carried out in the animal house of the Biology Department, College of Science, University of Thi-Qar ,Iraq. Thirty lab male rats were used in this study, and divided into five groups (6 rats for each group). Thirty male rats (190-210 gm) were randomly divided into five groups and placed in cages according to the groups, containing 6 rats per group as following. Group1, considered as the negative control group, given food and water for a period of 30 days. Group 2, served as the diabetic positive control, given streptozotocin were injected I.P. 60 mg/kg b.w. as a single dose with food and water for 15 days. Group 3, received streptozotocin were injected I.P (60 mg/kg) with food and water for 15 days, then treated with forxiga 1mg/kg administrated orally every day for a period of 15 days. Group 4, given were injected I.P streptozotocin (60 mg/kg) with s food and Water for 30 days. Group 5, received streptozotocin were injected I.P (60 mg/kg) with food and water. Then treated with forxiga1mg/kg administrated orally every day for a period of 15 day. At the end of experimental, all rats were euthanized, blood sample were obtained for bio chemical parameters.
Experimental And Theoretical Investigation Of Single Slope Solar Still Coupled With Etc With Stainless-Steel Reflector With Central V-Groove
Authors: L. Patil Bhushan , A. Hole Jitendra , V. Wankhede Sagar
Published: April 2023

Due to population, industrial, and agricultural growth as well as the rising demand for potable water, there is currently shortage of water in many region of the world. Desalination of brackish and salty water is one of the simplest and economical processes to convert it into potable or drinkable water. But solar still has a low productivity device as its main flaw. Mechanisms for heat exchange play a significant part in increasing the daily yield. The output of any solar desalination system is influenced by the water temperature. The productivity rises as the basin's water temperature rises. A series of experiments were conducted for four different cases in the current study, and it was discovered that the still combined with a parabolic concentrator and stepped basin is the most productive and efficient. The results were verified using mathematical modeling, and it was discovered that in all of these instances, the percentage RMS values range from 10% to 40% and the coefficient of correlation is varies in between 0.8 to 0.99. The overall thermal efficiency of 16.54% is obtained for the integrated system when coupled with evacuated tube collector.
Visualization of computer-supported collaborative learning models in the context of multimodal data analysis
Authors: Mei Jianqiang , Chen Wanyan , Li Biyuan , Li Shixin , Zhang Jun
Published: April 2023

Deep learning evaluation is a new direction formed by the intersection of multiple domains, and the core issue is how to visualize collaborative learning models to motivate learners. Therefore, this paper realizes real-time knowledge sharing and facilitates learners' interaction through computer-supported collaborative learning (CSCL) technology. In this paper, we collect, label, and analyze data based on five modalities: brain, behavior, cognition, environment, and technology. In this paper, a computer-supported collaborative learning process analysis model is developed under the threshold of multimodal data analysis. The model is based on roles and CSCL for intelligent network collaboration. This paper designs and develops an interactive visualization tool to support online collaborative learning process analysis. In addition, this paper conducts a practical study in an online classroom. The results show that the model and the tool can be effectively used for online collaborative learning process analysis, and the test model results fit well. The entropy index of the test model took a value of about 0.85, and about less than 10% of the individuals were assigned to the wrong profile. During the test, the participation of participants gradually increased from 5% to about 25%, and the participation effect improved by about 80%. This indicates the strong applicability value of the computer-supported collaborative learning process analysis model under the multimodal data analysis perspective.
Research on physical fitness training of football players based on improved LSTM neural network to improve physical energy saving and health
Authors: Pan Nengchao
Published: April 2023

In order to ensure that the physical function of football players adapts to the development of modern football level, and avoid the phenomenon of inability to adapt to the intensity of modern football games due to lack of physical fitness. Aiming at the physical training of football players, this paper proposes an improved long-short-term memory network (W-LSTM) model for the optimization and prediction of physical training. The model effectively combines the global feature extraction ability of LSTM for time series data and the preprocessing ability of the extracted data, which reduces the loss of feature information and achieves high prediction accuracy. The front door is added on the basis of LSTM, which combines training and physical function to reduce the impact of fluctuations in data outliers on the prediction results, effectively improving the accuracy of physical training optimization and prediction, and using body shape, exercise tolerance, exercise intensity and fitness level as input values to conduct comparative experiments on the three models of W-LSTM, LM-BP and ARIMA. The study found that W-LSTM has a lower mean square error (0.011) and a higher correlation coefficient (0.985), indicating that the model proposed in this paper is significantly better than other existing comparison models in terms of the accuracy of prediction results.
The significance of the convolutional deep learning model in the intelligent collaborative correction of English writing
Authors: Wang Hong
Published: April 2023

To ensure the normal operation of English composition grammar correction and avoid inaccurate detection caused by faults, it is of great significance to detect abnormal working conditions in time and diagnose them accurately. Aiming at the complexity of grammar correction, this paper proposes a PLSTM-CNN model for fault detection in the grammar correction process. The model effectively combines the global feature extraction ability of LSTM for time series data and the ability of the CNN model to extract local features, which reduces the loss of feature information and achieves a higher fault detection rate. A one-dimensional dense CNN is used as the main body of the CNN, and the LSTM network is sensitive to changes in sequence information to avoid model overfitting while building a deeper network. The maximum mutual information coefficient (MMIC) data preprocessing method is adopted to improve the local correlation of the data and improve the efficiency of the PLSTM-CNN model to detect faults from different initial conditions. The research results show that the parallel PLSTM-CNN has better prediction performance than the serial PLSTM-CNN, and its FDR and FPR are 90.5% and 0.051, respectively. It shows that the use of convolutional deep learning models for the prediction of writing grammar correction faults has strong application prospects.
Application of surveying and mapping technology based on deep learning model in petroleum geological exploration
Authors: Sun Sheng , Shu Ping
Published: April 2023

Surveying and mapping technology is one of the key technologies used in petroleum geological exploration and has made significant contributions to geological exploration. However, with the development of science and technology, traditional surveying and mapping technology has low work efficiency and poor information accuracy, which limits its application. This study proposes a surveying and mapping technology based on the 1DCNN-LSTM deep learning model. Through feature selection and feature optimization, the important features extracted by 1DCNN are predicted through LSTM, and the development direction of surveying and mapping technology is optimized and predicted to promote the development of new surveying and mapping technologies. application. By using the orthogonal test to optimize the input factors, determine the relative order of the influence of the factors, and use the 1DCNN-LSTM and BP neural network to train and verify the input factors respectively. The research results show that 1DCNN-LSTM has higher prediction accuracy, and the prediction accuracy is The results show that the 1DCNN-LSTM deep learning model used in the optimization of petroleum geological exploration and mapping technology in this study has strong practical significance.
Exploring the direction of the English translation of environmental protection articles based on the robot cognitive- emotional interaction model
Authors: Song Shuai
Published: April 2023

To broaden the application area of the cognitive-emotional interaction model for robots. In this paper, an algorithmic model for the English translation of environmental articles based on a cognitive-emotional interaction model for robots is used to model the process of emotion generation using reinforcement learning. Similarly, positivity and empathy are used to quantify the reward function for emotional state assessment, and the optimal emotional strategy selection is derived based on the utility function. In the process of article translation by the robot, Lagrangian factors are introduced to make the translation probability maximum process transformed into the process of obtaining the highest value of the auxiliary function at a random state. Finally, the effectiveness of the robot's cognitive-emotional interaction model in the English translation of environmental protection articles is verified by the Chinese-English parallel question-and-answer dataset. The experimental results demonstrate that this model can not only be used for the English translation of environmental protection articles but also can give the corresponding English translation work similar to human emotions, which can better help people understand the meaning of English. It also provides a basis and direction for the subsequent in-depth application of the robot cognitive-emotional interaction model in various fields.
Quantization and application of low-rank tensor decomposition based on the deep learning model.
Authors: Zhao Jia
Published: April 2023

Watching the presentation of a large-scale network is very important for network state tracking, performance optimization, traffic engineering, anomaly detection, fault analysis, etc. In this paper, we try to develop deep learning technology to solve the defect problem of tensor filling based on inner product interaction. To solve the limitations of the existing tensor-filling algorithms, a new neural tensor-filling (NTC) model is proposed. NTC model can effectively type the third-order communication between data landscapes through outer creation operation. It creates the third-order interaction mapping tensor. On this basis, the interaction between local features of the 3D neural network is studied. In this paper, another fusion neural tensor filling (Fu NTC) model is proposed to solve the problem that the NTC model can only extract the nonlinear complex structural information between potential feature dimensions. In the framework of the neural network, the NTC model and tensor decomposition model share the same potential feature embedding. It can effectively extract nonlinear feature information and linear feature information at the same time. It achieves higher precision data recovery.
Differences in Perceptions of Working From Home Due to COVID 19 as Held by Shipping Carriers and Freight Forwarders
Authors:   Korean Academy Of International Commerce, Inc., Kim Young-hwan , Ryu Hee-chan , Park Keun-sik
Published: April 2023

Purpose: The purpose of this study is to present empirical data so that a long-term policy on working from home policy can be established by examining the differences in the perceptions of telecommuting that are held by freight forwarders and shipping companies and which were formed due to COVID-19.
Research design, data, and methodology: We investigated the current status of freight forwarders and shipping companies, and selected from previous reviews the factors on telecommuting. Using a Likert five-point scale, a survey was conducted with executives and employees of freight forwarders and shipping companies. A difference test analysis (t-test) was conducted based on 112 valid samples.
Results: Differences in perception were significant, depending on job instability, level of communication, work efficiency, and work performance. Overall, freight forwarder employees had a higher impact than shipping company employees on the remaining factors, except for work performance.
Conclusions: This study suggests the necessity of a telecommuting policy based on analysis results and practical implications.
Status and Improvement of Declarations of Origin after FTA Expansion
Authors:   Korean Academy Of International Commerce, Inc., Lee Ki-Young , Kim Jin-Soo
Published: April 2023

Purpose : This study aims to examine the status and improvement plan of issuance for declaration of origin following expansion of FTA.
Research design, data and methodology : This study analyzes related literature reviews.
Results : It is necessary to improve the issuance method for declaration of origin, which is appropriate to be issued by a licensed customs agent. In obtaining a declaration of origin, it is also necessary to establish an automatic linkage system with the certificate of origin issuing agency to promote a unified administrative system. Finally, free online education should also be expanded to facilitate regulations and applications throughout the country of origin.
Conclusions : When these all systems are fully utilized, export companies will be guaranteed work efficiency as a force behind trade, and unnecessary disputes with related agencies will be reduced.
The Impact of USA-China Trade War on Seaborne Trade Volume
Authors:   Korean Academy Of International Commerce, Inc., Lee Min-Kyu
Published: April 2023

Purpose: The purpose of this study is to explore the impact of trade conflicts between China and the U.S.A. on Korean seaborne export and import volumes.
Research design, data, and methodology: This study employs input-output analysis (i.e. value-added and maritime volume inducing effects) that combined ADB multi-regional input-output tables with port management information system (Port-MIS) statistics from the year 2021.
Results: Analysis results reveal that the China-US trade conflict induced a large drop in seaborne trade volumes of electrical and optical equipment, chemicals and chemical products, and other nonmetallic minerals. From perspectives on the impact of the USChina trade war, the variable of seaborne trade volume has more elasticity than value-added variables.
Conclusions: C ombination o f A DB m ulti-regional i nput-output t ables w ith P ort-MIS statistics will expand the scope of trade research. It is expected that the formulated model will contribute to helping forecast seaborne trade volumes according to varying global trade conditions.
Working Conditions and Health of Prison Officers in Paraná (Brazil)
Authors: Braz Pauli Fernando , Caovilla Follador Franciele Aní , Wendt Guilherme , Lucio Leia Carolina , Risso Pascotto Claudicéia , Defante Ferreto Lirane Elize
Published: April 2023

Objectives: This cross-sectional study was carried out to identify the associations between working and health conditions among prison officers at a state prison in Paraná, Brazil. Material and method: A proportional and stratified random sample of 125 individuals was used. The participants, who were not identified, completed a self-administered questionnaire. Results: The results showed a prevalence of minor psychiatric disorders (MPD) of 30.4% (95%CI: 22.4-39.2). A total of 17.9% of the respondents had persistent stress (95%CI: 12.2-25.2), 66.4 had up to five health-related complaints (95%CI: 58.4-75.2) and 9.6% had scores that indicated higher risk for alcohol abuse and/or dependance (95%CI:4.8-16.0). Multivariate analyses showed that with an MPD outcome, health problems (p<0.01), physical environment (p=0.013) and organizational risks (p<0.01) were significant predictors. Persistent stress was predicted by age (p=0.031), health problems (p<0.01) and organizational risks (p=0.023), while health complaints were associated with health problems (p<0.01) and physical environment (p<0.01). There were no significant predictors for higher risk for alcohol abuse and/or dependance. Discussion: In general, the results demonstrate the precarious nature of the work of prison officers, and reveal the importance of further studies to evaluate whether this is a specific reality of the unit that was investigated, or whether these results are common in other prison environments.
Relevance of psychogeriatrics in the prison setting: a systematic review
Authors: Peraire Marc , Pérez-Sánchez Ezequiel-Jesús , Pérez-Pazos Jesús , de Gomar-Malia Juan Manuel , Tort-Herrando Vicenç
Published: April 2023

Introduction: The aging of the world population is reflected in the penitentiary setting, with a progressive increase of elderly inmates. These prisoners present complex clinical processes with multiple comorbidities, and require a specialized approach. However, resources have not yet been adapted to the unique characteristics of this vulnerable subpopulation. The aim of this review is to highlight the relevance of psychogeriatrics in prison, detecting the most prevalent diseases and outlining the needs of elderly inmates. Material and method: Narrative review through databases of those studies that analyze psychopathologies among inmates over 50. Results: Elderly inmates present a high prevalence of substance use (especially alcohol), affective symptoms (depression) and cognitive deterioration. A significant presence of personality disorders, anxiety, post-traumatic disorders, psychotic disorders, and physical comorbidities is also observed, with rates higher than among young convicts and the general geriatric population. There is a higher prevalence for any diagnosis amongst women, mainly for affective disorders. Discussion: Prisoners over 50 have a different profile from other prison population. They suffer from more physical and mental illnesses, and so require specific health and social approaches. It would be advisable to adapt clinical care by optimizing resources, developing prison psychogeriatrics and establishing specific assessment and treatment methods.
Usefulness of teledermatology in prisons. The experience in the Penitentiary Center Castellón II
Authors: Pitarch-Bort Gerard , Arnandis-Viñerta Oreto , Herrero-Matías Agustín Mª
Published: April 2023

Introduction: Teledermatology is the application of new technologies for the care of skin diseases. Its application in prisons allows the diagnosis and treatment of prisoners without the need to transfer them to the hospital, avoiding the problems associated with travel. Material and method: The objective of this work is to analyze the usefulness of teledermatology in prisons, through a retrospective observational study in the Castellón II-Albocàsser penitentiary. Results: The study sample consisted of 37 patients and 43 interconsultations. All the consultations corresponded to men, with a mean age of 42.43 years. 95.3% of the consultations were asynchronous and in 86% of them a diagnosis and a complete treatment plan were established. Only 18.6% of the consultations required a face-to-face consultation. Discussion: It is concluded that teledermatology in prisons is effective in the care and resolution of dermatological problems.
Morphological study of glenoid cavity of scapula
Authors: Joshi Mohini , Pakhale Sandeep V
Published: April 2023

Scapula is a flat triangular bone lies on chest wall from second to sixth ribs. Its lateral angle is truncated and shows variable morphology in shape.

The objectives of the present study were to obtain morphometric data of scapulae and the glenoid cavity specifically the diameters and various shape of glenoid.

: The present study was conducted on 90 right scapulae and 90 left scapulae. Metrical and nonmetrical measurements were noted. Length of scapulae, breadth of scapulae, height of Glenoid cavity, antero-posterior diameter 1 and antero-posterior diameter 2 were observed. Shape of Glenoid cavity was noted.

Length of scapula on right side was 135.40±13.2mm and on left side it was 136.5±12.9mm. Breadth of scapula on right side was 98.7 ±7.2mm on left side it was 98.2±6.8mm but the difference was not statistically significant. The height of Glenoid cavity on right side was 35.2±2.9mm and on left side it was 35.8±3.1. Antero-posterior diameter 1 of Glenoid cavity on right side was 24.2±2.3 mm and on left side it was 23.9±2.1 mm. Antero-posterior diameter 2 of Glenoid cavity on right side was16.8±2.5 mm and on left side it was 16.7±2.4mm. The most common shape of glenoid cavity was pear shaped followed by oval and least common was inverted comma shape.

Knowledge of various measurements of Glenoid cavity is important for prosthesis of shoulder orthoplasty. It is useful in evaluation of various pathological conditions of shoulder joint. Since this study was conducted on limited number of scapulae further clinical, cadaveric and radiological studies are required.
Omphalocele major with spine deformity, a congenital anomaly
Authors: Swetha B  , Hema N
Published: April 2023

Multigravida, 26 years old lady with 21 weeks gestation came with complaint of abdominal pain diagnosed as Omphalocele major with spine deformity. Due to associated anomalies, the pregnancy was terminated with parental consent. On dissection, it was observed that liver and small intestine protruded from right and left side respectively through the defect. Acute angulation of the Spine was observed. There was a privilege of intervention of omphalocele of various clinical presentations. Here is an attempt made to describe in this case which will be helpful to paediatric surgeons for interventions.
The costocoracoid ligament: A case report
Authors: Awasthi Aprajita , Sisodia Rajvardhan , Rishi Prisha
Published: April 2023

During routine dissection of a human cadaver, the costocoracoid ligament was observed as a thick, fibrous band extending from the ventral surface of the costal cartilage of the 1 rib to the coracoid process. It is part of the clavipectoral fascia and lies close to the costoclavicular space of the superior thoracic aperture, consequently affecting structures passing through it like the subclavian vessels and the brachial plexus. Abnormalities in the costocoracoid ligament may therefore result in clinical conditions, surgical complications and/or cosmetic deformities.

This is one of the few papers describing the anatomy of the costocoracoid ligament in a cadaver, and aims to provide a better understanding of the topic. A better understanding of the anatomy and practical significance of the costocoracoid ligament could aid in better understanding of the anatomy of the surrounding region and improve the course of healthcare for relevant cases.
Epidemiological and demographic characteristics of dengue at a tertiary care center in Kutch region during the year 2019
Authors: Chavda Shilpa , Patel Disha A , Kinariwala Dipa M , Vegad Mahendra
Published: April 2023

Dengue is the most rapidly spreading mosquito borne viral disease of mankind, with a 30 fold increase in global incidence over the last five decades. It is a major public health concern throughout the tropical and subtropical regions of the world. The present study was conducted with objective to study epidemiological and demographic characteristics of dengue infection during the year 2019 in Kutch region, Gujarat, India.

The study was carried out from January 2019 to December 2019 at Department of Microbiology, Gujarat Adani Institute of Medical Sciences, G.K. General Hospital, Bhuj. The patients having suspected dengue fever was based on standard criteria like presentation of febrile illness of 2-7 days duration were included in this study.A total of 1509 blood samples were collected during study period and serologically tested for dengue NS1 antigen and IgM antibody by capture ELISA testing method.

Total 1509 blood samples were tested by ELISA for NS1 antigen and/or IgM antibody as per the protocols and personal, demographic and clinical details of each patient was recorded. Out of 1509 cases 761 tested positive for dengue. Amongst all positive cases 533(47%) were tested positive for NS1 antigen which helped in early diagnosis of dengue. Rise of dengue cases started after the month of October and falls down by the end of December. Analysis of this data revealed that age group 00-10 years had maximum dengue cases. Male cases 418(55%) were more than females 343(45%). Dengue cases were high in urban area.

The present study reported that dengue mainly affected children, males and urban population. Perennial occurrence with seasonal increase during monsoon and post monsoon moths was reported. Effective implementation of vector control measures through efforts toward vector breeding source reduction and with the use of personal prophylactic measures against mosquito bites will help in reducing the dengue prevalence in the community.
Study of normal and pathogenic bacteria and yeasts in curd samples
Authors: Bhattacharyya Sayan , Das Trisha , Datta Shibani , Banik Amit
Published: April 2023

Probiotics are very important for our daily life and as food. However, they must be safe to consume. There can be many bacterial contaminants present in curd bought from the market, which can cause infections. We studied curd samples and found many such pathogens as well as Acid fast bacilli. Hence, one should be cautious while consuming curd bought from market. This is an important but neglected area of public health research.
Streptococcus pseudoporcinus bacteremia in a Type II-respiratory failure patient with coronary artery disease: A case report
Authors: Bhat Sandhya , Venu Ashwin , K.L Jagadish
Published: April 2023

is a beta-hemolytic Gram-positive, catalase-negative, nonmotile coccus arranged in short chains, usually found in the female genitourinary tract. Only a few human infections associated with this organism have been reported till date. is usually found as colonizer of female genital tract, has been rarely associated with bacteremia. We are reporting a rare case of causing bacteremia in patients with respiratory failure and coronary artery disease, who was treated with clindamycin and piperacillin/tazobactam. This case report illustrates the potential of these bacteria to cause severe invasive and life-threatening disease.
SARS-CoV-2 y metahemoglobinemia en el periodo neonatal. Reporte de casos
Authors: Izaguirre Alcántara Dillan David , Baptista González Hector Alfredo , Reyes García Diana Verónica , Zapiain Merino Yahaira Garabet
Published: April 2023

INTRODUCCIÓN: La metahemoglobinemia (MetaHb) es una condición donde el eritrocito es incapaz de liberar oxígeno hacia los tejidos, causando de manera secundaria hipoxia tisular y acidosis metabólica con lactato elevado. En pacientes adultos con infección por SARS-CoV2 se han reportado algunos casos de coexistencia de MetaHb e hipoxemia refractaria; aunque no hay reportes de esta asociación en la etapa neonatal.

CASOS CLÍNICOS: Presentamos dos casos en recién nacidos prematuros con infección por SARS-CoV-2, que presentaron deterioro multisistémico y MetaHb en la segunda a tercera semana de vida, sin aislamiento microbiológico, ni relación temporal condesencadenantes conocidos de MetaHb, niveles normales de G6PD y con respuesta parcial a la exanguinotransfusión o infusión de azul de metileno.

CONCLUSIONES: La relación de MetaHb e infección por SARS-CoV-2 es aún desconocida, pero se ha documentado recientemente su actividad proinflamatoria, que puede incrementar la tormenta de citocinas y empeorar la evolución y el pronóstico del paciente con infección moderada a severa. Por lo anterior, son necesarios más estudios de dichas asociaciones para poder realizar intervenciones oportunas.

PALABRAS CLAVE: SARS-Cov2, COVID-19 neonatal, Recién nacido, metahemoglobinemia neonata