bluuebunny/crossref_metadata_2025 huggingface dataset:
Fifty-Five Word Stories
Authors: Deshpande Shailesh Rajaram
Published: January 2022

The fifty-five word story form is gaining popularity within the field of medical humanities. Health-care professionals, particularly in the USA, are exploring the form as a means of creative expression to describe their encounters with patients, or comment on the practice of medicine. Its brevity and exactness are especially appealing for busy professionals. In addition, its potential as a method for personal reflection and teaching, which can lead to personal and professional growth, is also being realized. Medical institutions in the USA have encouraged their faculty and students to write about their experiences of the unprecedented challenges arising due to the COVID-19 pandemic by using this form, which has elicited a good response. The 55-word story form offers great promise for health-care professionals in India and other developing countries, for giving vent to their experiences while practicing in diverse settings.
A study on Predictive Modeling of Users’ Parasocial Relationship Types based on Social Media Text Big Data
Authors: Meng Jiatong , Chen Yucheng
Published: January 2022

The traditional quasi-social relationship type prediction model obtains prediction results by analyzing and clustering the direct data. The prediction results are easily disturbed by noisy data, and the problems of low processing efficiency and accuracy of the traditional prediction model gradually appear as the amount of user data increases. To address the above problems, the research constructs a prediction model of user quasi-social relationship type based on social media text big data. After pre-processing the collected social media text big data, the interference data that affect the accuracy of non-model prediction are removed. The interaction information in the text data is mined based on the principle of similarity calculation, and semantic analysis and sentiment annotation are performed on the information content. On the basis of BP neural network, we construct a prediction model of user’s quasi-social relationship type. The performance test data of the model shows that the average prediction accuracy of the constructed model is 89.84%, and the model has low time complexity and higher processing efficiency, which is better than other traditional models.
Massive Speech Recognition Resource Scheduling System based on Grid Computing
Authors: Yang Shanshan , Chao Jinjin
Published: January 2022

Nowadays, there are too many large-scale speech recognition resources, which makes it difficult to ensure the scheduling speed and accuracy. In order to improve the effect of large-scale speech recognition resource scheduling, a large-scale speech recognition resource scheduling system based on grid computing is designed in this paper. In the hardware part, microprocessor, Ethernet control chip, controller and acquisition card are designed. In the software part of the system, it mainly carries out the retrieval and exchange of information resources, so as to realize the information scheduling of the same type of large-scale speech recognition resources. The experimental results show that the information scheduling time of the designed system is short, up to 2.4min, and the scheduling accuracy is high, up to 90%, in order to provide some help to effectively improve the speed and accuracy of information scheduling.
The Image Annotation Refinement in Embedding Feature Space based on Mutual Information
Authors: Li Wei , Song Haiyu , Zhang Hongda , Li Houjie , Wang Pengjie
Published: January 2022

The ever-increasing size of images has made automatic image annotation one of the most important tasks in the fields of machine learning and computer vision. Despite continuous efforts in inventing new annotation algorithms and new models, results of the state-of-the-art image annotation methods are often unsatisfactory. In this paper, to further improve annotation refinement performance, a novel approach based on weighted mutual information to automatically refine the original annotations of images is proposed. Unlike the traditional refinement model using only visual feature, the proposed model use semantic embedding to properly map labels and visual features to a meaningful semantic space. To accurately measure the relevance between the particular image and its original annotations, the proposed model utilize all available information including image-to-image, label-to-label and image-to-label. Experimental results conducted on three typical datasets show not only the validity of the refinement, but also the superiority of the proposed algorithm over existing ones. The improvement largely benefits from our proposed mutual information method and utilizing all available information.
Research on E-commerce Logistics Distribution Path Planning Based on Improved Genetic Algorithm
Authors: Lan Lan
Published: January 2022

With the rapid development of the Internet, e-commerce business has gradually emerged. However, its logistics distribution route planning method has problems such as redundancy of logistics data, which cannot achieve centralized planning of distribution paths, resulting in low e-commerce logistics distribution efficiency and long distribution distances, higher cost. Therefore, in order to improve the ability of logistics distribution path planning, this paper designs an e-commerce logistics distribution path planning method based on improved genetic algorithm. Optimize the analysis of e-commerce logistics distribution nodes, establish a modern logistics distribution system, and optimize the total transportation time and transportation cost under the location model of the logistics distribution center. Using hybrid search algorithm and improved genetic algorithm parameters, an improved genetic algorithm distribution path planning model is established to select the optimal path of logistics distribution, and realize e-commerce logistics distribution path with high accuracy, low error and good convergence. planning. According to the experimental results, the method in this paper can effectively shorten the distance of e-commerce logistics distribution path, reduce the number of distribution vehicles, reduce distribution costs, improve distribution efficiency, and effectively achieve centralized planning of logistics distribution. Therefore, the e-commerce logistics distribution route planning method based on improved genetic algorithm has high practical application value.
Edge Location and Identification Method for Electronic Components based on Improved Canny Algorithm
Authors: Chao Yuan , Shi Fan , Shan Wentao , Liang Dong
Published: January 2022

The position identification of SMD electronic components mainly uses Canny edge detection algorithm to detect the edges of specific elements, benefited from its computational simplicity. The traditional Canny algorithm lacks the adaptability in gradient calculation and double thresholds selection, which may affect the location and identification accuracy of specific elements in electronic components. In this paper, an improved canny edge detection algorithm is proposed. The gradient magnitude is calculated in four directions, i.e., horizontal, vertical, and diagonal. Both the high and low thresholds can be adaptively determined based on the grayscale distribution information, to increase the adaptability of edge identification. The experimental results show that the proposed method can better locate the true edges of specific elements in electronic components with a reasonable processing speed, compared with the traditional Canny algorithm, and has been successfully applied on practical real-time vision inspection on SMD electronic components.
Walnut Ripeness Detection Based on Coupling Information and Lightweight YOLOv4
Authors: Cui Kaixuan , Su Shuchai , Cai Jiawei , Chen Fengjun
Published: January 2022

To realize rapid and accurate ripeness detection for walnut on mobile terminals such as mobile phones, we propose a method based on coupling information and lightweight YOLOv4. First, we collected 50 walnuts at each ripeness (Unripe, Mid-ripe, Ripe, Over-ripe) to determine the kernel oil content. Pearson correlation analysis and one-way analysis of variance (ANOVA) prove that the division of walnut ripeness reflects the change in kernel oil content. It is feasible to estimate the kernel oil content by detecting the ripeness of walnut. Next, we achieve ripeness detection based on lightweight YOLOv4. We adopt MobileNetV3 as the backbone feature extractor and adopt depthwise separable convolution to replace the traditional convolution. We design a parallel convolution structure with depthwise convolution stacking (PCSDCS) to reduce parameters and improve feature extraction ability. To enhance the model’s detection ability for walnuts in the growth-intensive areas, we design a Gaussian Soft DIoU non-maximum suppression (GSDIoU-NMS) algorithm. The dataset used for model optimization contains 3600 images, of which 2880 images in the training set, 320 images in the validation set, and 400 images in the test set. We adopt a multi-training strategy based on dynamic learning rate and transfer learning to get training weights. The lightweight YOLOv4 model achieves 94.05%, 90.72%, 88.30%, 76.92 FPS, and 38.14 MB in mean average precision, precision, recall, average detection speed, and weight capacity, respectively. Compared with the Faster R-CNN model, EfficientDet-D1 model, YOLOv3 model, and YOLOv4 model, the lightweight YOLOv4 model improves 8.77%, 4.84%, 5.43%, and 0.06% in mean average precision, 74.60 FPS, 55.60 FPS, 38.83 FPS, and 46.63 FPS in detection speed, respectively. And the lightweight YOLOv4 is 84.4% smaller than the original YOLOv4 model in terms of weight capacity. This paper provides a theoretical reference for the rapid ripeness detection of walnut and exploration for the model’s lightweight.
Nonlocal Boundary Conditions Are Applied to the Analysis of Curve Equations
Authors: Wang Qingling , Fang Lingling
Published: January 2022

The traditional curve equation solution method has a low accuracy, so the non-local boundary conditions are applied to the curve equation solution. Firstly, the solution coordinate system is established, and then the key parameters are determined to solve the curve equation. Finally, the curve equation is solved by combining the non-local boundary conditions. The experiment proves that the method of this design is more accurate than the traditional method in solving simple curve equation or complex curve equation.
Parallel Solving Method for the Variable Coefficient Nonlinear Equation
Authors: Shen Liling
Published: January 2022

In view of the inaccuracy of traditional methods for solving nonlinear equations with variable coefficients in parallel, a new method for solving nonlinear equations with variable coefficients is proposed. Using the generalized symmetry group, the variable coefficient of the equation is taken as a new variable which is the same as the state of the original actual physical field. Some relations between variable coefficient equations and their solutions are found. This paper analyzes the meaning of linear differential equation and nonlinear differential equation, the difference between linear differential equation and nonlinear differential equation and their role in physics, and the necessity of solving nonlinear differential equation. By solving the nonlinear equation with variable coefficients, it can be seen that the general methods to solve the nonlinear equation include scattering inversion, Backlund transform and traveling wave solution. Based on the existing methods for solving nonlinear equations with variable coefficients, the homogeneous balance method is combined with the improved truncated expansion method, truncated expansion method and function reduction method, and the Hopf Cole transform and trial function are combined respectively. The above three methods are used to solve nonlinear equations with variable coefficients. Based on KdV Painleve principle, a parallel method for solving nonlinear equations with variable coefficients is proposed. Finally, it is proved that the method is accurate and effective for the parallel solution of nonlinear equations with variable coefficients.
Performance Improvement of Aperture Coupled MSA through Si Micromachining
Authors: Soni Brijesh Kumar , Singh Kamaljeet , Rathi Amit , Sancheti Sandeep
Published: January 2022

In recent times rectangular patch antenna design has become the most innovative and popular subject due to its advantages, such as being lightweight, conformal, ease to fabricate, low cost and small size. In this paper design of aperture coupled microstrip patch antenna (MSA) on high index semiconductor material coupled with micromachining technique for performance enhancement is discussed. The performance in terms of return loss bandwidth, gain, cross-polarization and antenna efficiency is compared with standard aperture coupled antenna. Micromachining underneath of the patch helps in to reduce the effective dielectric constant, which is desirable for the radiation characteristics of the patch antenna. Improvement 36 percent and 18 percent in return loss bandwidth and gain respectively achieved using micromachined aperture coupled feed patch, which is due to the reduction in losses, suppression of surface waves and substrate modes. In this article along with design, fabrication aspects on Si substrate using MEMS process also discussed. Presented antenna design is proposed antenna can be useful in smart antenna arrays suitable in satellite, radar communication applications. Two topologies at X-band are fabricated and comparison between aperture coupled and micromachined aperture coupled are presented. Index Terms—Microstrip Patch Antenna, Aperture Coupled, Micromachining, High Resistivity Silicon
A Whole Process Cost Prediction System for Construction Projects Based on Improved Support Vector Machines
Authors: Zhang Xueqing , Song Jie , Zha Chaolin
Published: January 2022

The current project cost system requires high data scale, small amount of data and large prediction deviation. In order to improve the prediction accuracy of the whole process cost of construction project, this paper designs a whole process project cost prediction system based on improved support vector machine. In the hardware part of the system, the control core adopts arm controller S3C6410 and introduces 4G communication module to analyze the actual engineering data with the support of hardware. In the software part, the whole process cost prediction index system of the construction project is established, the index is reduced by the principal component method, and the support vector machine is improved by particle swarm optimization algorithm to realize the whole process cost prediction of the project. The system function test results show that the average prediction deviation of the designed system is 4.11%, the average prediction deviation of the cost prediction system is 3.05%, and the average prediction deviation of the system is 1.57%.
Development of an Innovative Drug Information Evidence-Based Medicine Advanced Pharmacy Practice Experience
Authors: Starr Jessica , Carroll Dana , Kelley Kristi , Pinner Nathan , Stevenson Lynn , Lisenby Katelin , Steuber Taylor
Published: January 2022

Aim: To describe the development, implementation, and structure of an innovative evidence-based medicine (EBM) advanced pharmacy practice experience (APPE) rotation and evaluate student pharmacists’ perceptions of the course.
Methods: A five-week, EBM APPE rotation was designed by seven faculty. Students worked remotely in teams and individually to complete pre- and post-assessments, journal clubs, journal scans, drug information questions, and clinical debates, as well as self- and peer-assessments. Students were asked to rate their perceptions of the course on a 5-point Likert scale.  
Results: A total of eighteen students, precepted by seven faculty members, completed the rotation. Students completed three group journal clubs, three individual journal scans, one individual journal club, one drug information question, and one clinical debate. Students survey data indicated that confidence in EBM skills was high following the rotation.   
Conclusion: This EBM APPE rotation was successful. The structure of this rotation may be transferable to a variety of settings.
A systematic review of using team-based learning in a pharmacokinetics course
Authors: Methaneethorn Jutima , Methaneethorn Janthima
Published: January 2022

Background: This systematic review aimed to summarise an application of team-based learning (TBL) in pharmacokinetics courses, to compare the learning outcomes of TBL to that of traditional lecture-based courses, and to identify the benefits of using a TBL strategy in pharmacokinetics courses.
Method: PubMed, Scopus, and ERIC EBSCO databases were systematically searched, and 191 non-redundant articles were retrieved. Of these, seven articles were included.
Results: Implementation of a TBL in pharmacokinetic courses resulted in several positive results including higher examination grades, improvement in professionalism aspects such as altruism, accountability, and honesty. Student engagement, peer learning, and the development of transferable skills could also be observed. Despite these positive benefits, some challenges exist, such as an increase in initial workload for faculty members, preparation of appropriate assignments, and suitable strategy to facilitate students.
Conclusion: Future TBL implementation should be critically designed to optimise faculties’ workload and students’ engagement to the course.
Overview of cryptographic algorithms for audio files and their properties
Authors:   Konstantin Preslavsky University of Shumen, Ivanova Tsvetelina
Published: January 2022

Any cryptographic algorithm that is claimed to be effective must be properly analysed to prove its effectiveness, reliability and security. In this paper the most used quality indicators are reviewed and classified. The principles of the audio encryption are reviewed. A classification of the analysing methods is made.
Thinking, intellect and mathematics training
Authors: Stefanova Diana
Published: January 2022

In this article we suggest some tools for development of students’ thinking and intellect using different ways of learning mathematics. We have considered a learning approach that stimulates the intellectual development of learners, namely tasks, that take qualities such as wits, flexibility, transfer of knowledge in new conditions etc, when solving the questions.
The Effect of Low pH Level on Zebrafish (Danio Rerio) Reproductive Performance
Authors: Ikram Ismail  , Siti Ariza Aripin
Published: January 2022

Danio rerio or commonly known as zebrafish are a very popular fish among scientists and also a well-known vertebrate model species widely used in research. Zebrafish, are also a popular species among aquarists and have been put in aquariums all around the world as ornamental fish. The acid rain phenomenon has lowered the pH level of the wild habitat of zebrafish by shifting it to a more acidic pH level. This study was carried out to observe the effect of low pH level on the reproductive performance of zebrafish. The zebrafish were quarantined for a week to make sure they were healthy to be used in the experiment. The zebrafish were reared continuously for 14 days in three different pH treatments T1 (pH 2-4), T2 (pH 4-6), T3 (pH 6-8)). T3 (pH 6-8) was used as the control treatment. Hydrochloric acid (HCl) was used to control the pH level of treatments T1 (pH 2-4), T2 (pH 4-6), T3 (pH 6-8) with three replicates of each treatment. The male chasing female frequency was significant (p: 0.0001) and the data showed the highest frequency (2568.000±140.6272) at treatment 3 (pH 6-8). For the spawning frequency of zebrafish, treatment 3 (pH 6-8) showed the highest value (4.000±0.5774) followed by treatment 2 and treatment 1 and the data was significant (p: 0.0004). The fertilisation rate of the zebrafish was significant (p: 0.0001) and the highest was shown at T2 (pH 4-6) with 89.8018±0.3782, followed by T3 and treatment T1. For the hatching rate of the zebrafish, the data collected were significant (p: 0.0002) and the highest value of 2.9350±0.4070 was shown at T3 (pH 6-8), followed by T2 (pH 4-6) and T1 (pH 2-4). The overall result showed that pH 2-4 had the worst effect on the reproductive performance of zebrafish. Therefore, low pH has a significant effect on reducing the reproductive performance of zebrafish. The local fish population can be affected by the decrease of pH level due to acid rains and chemical waste pollution.
The Description of Nematode in Barbonymus schwanenfeldii at Kenyir Lake, Terengganu
Authors: N. Hafiza  , Faizah Shaharom-Harrison
Published: January 2022

Cucullanus sp is a genus of nematode infecting Barbonymus schwanenfeldii. It is categorized under Family Cucullunidae. The genus Cucullanus sp consists of various species around the world, parasitizing freshwater, brackish-water or marine fishes. Cucullanus sp are mainly found in internal organs like stomach, intestine, kidney, and spleen. This parasitic organism can cause an economic impact, especially for animals with high market value, which are commercialized and used for human consumption. The objectives of this study are to study the morphological characteristics of Cucullanus sp and to identify genus of Cucullanus sp which are found on tinfoil barb, Barbonymus schwanenfeldii at Kenyir Lake, Terengganu. There is not enough data on Cucullanus sp on B. schwanenfeldii. Six samples of tinfoil barb were collected at Kenyir Lake from 25 to 27 October 2018. Each sample of fish was measured and recorded for length and weight using ruler and weighing balance respectively. The fish were examined at camping site at Lawit Resort, Kenyir Lake. The nematode species found were brought back to Health of Aquatic Organism laboratory. The abdominal and gastrointestinal tracts of the fishes were dissected and placed in petri dishes. The nematodes found were collected and observed under the dissecting microscope. The nematode specimen was placed on a glass slide with a drop of lactophenol and observed under the compound microscope fitted with dino-eye. The sample was later fixed with 70% alcohol. The morphological characteristic was drawn using camera lucida fitted to a compound microscope. (40X magnification). The picture of nematode was captured by using Advanced Research Microscope (Nikon Eclipse 80i) and measurements of the nematode was also made. Hence, the nematode found was identified as male Cucullanus sp.
Effect of Different Ratios of Low Protein Flour to Oyster Mushroom (Pleurotus sajor-caju) Powder on the Physicochemical Properties and Sensory Acceptability of Edible Tablespoon
Authors: Au Jee Yuan  , Faridah Yahya
Published: January 2022

The aim of this study was to determine the effect of different ratios of low protein flour to oyster mushroom (Pleurotus sajor-caju) powder on the physicochemical properties and sensory acceptability of edible tablespoon. Fresh grey oyster mushroom was dried in a convection oven at temperature of 55.0˚C ± 2.0˚C for 20 h prior to the grinding process. The low protein flour (LPF) was then incorporated with oyster mushroom powder (OMP) at different ratios of 100:0, 96:4, 92:8, 88:12 and 84:16, before being with vegetable oil, sugar, egg white and water in formulating the edible tablespoon. The proximate analyses were carried out in triplicate for calorie content, colour profile, hardness value and morphological structure of edible tablespoon. This study revealed that with decreasing LPF and increasing OMP in the formulation, the ash content (1.24% to 1.92%), crude fat content (8.98% to 10.40%) and fiber content (0.13% to 1.24%) were observed to have increased as well as the hardness value (2042.03g to 2844.57g) and pore’s size of the morphological structure of edible tablespoon. However, the carbohydrate content (78.64% to 75.56%) significantly decreased (p>0.05) together with L* value (from 68.47 to 61.71) when the decrease was in the the percentage of LPF and an increase the percentage of OMP. The calorie content, moisture content and protein content of edible tablespoon were not significantly (p>0.05) affected by different ratios of LPF to OMP. The edible tablespoon formulated with up to 8% of OMP was accepted by the sensory panelists but further increase in OMP addition significantly decreased the degree of likeness in terms of colour, odour, taste and overall acceptability of edible tablespoon. This study suggested that oyster mushroom edible tablespoon could be potential alternative disposable cutlery which will help to reduce the use of huge amount of non-biodegradable materials for environmental conservation.
Does Household Food Insecurity Reflects Diet Quality of Children? A Study among the B40 Families in Pendang, Kedah
Authors: Apeera Prak Chang  , Asma’ Ali
Published: January 2022

Food insecurity is interrelated with low food supply consumption which have high disposition to poor diet quality. However, less study has been done in assessing the relationship between food insecurity and diet quality of children in Malaysia. Therefore, this study objectives are to determine food insecurity level and diet quality of children from B40 families in Kedah. This cross-sectional study was carried out among 106 children aged 7 – 12 years old from one selected district in Pendang, Kedah. Radimer/Cornell Hunger was used to determine food insecurity level of the children, while diet quality of the children was assessed by applying modified Healthy Eating Index (HEI) 2005. Based on the result, 43.4% of the household were categorized as food secure while 56.6% were food insecure. Those food insecure were classified into three levels and the study found that 61.0% were household food insecure, 28.0% were individual food insecure and 11.0% of the household were child hunger. About 28.3% of them had poor diet quality, 69.8% of them had diet that needs improvements and only 1.9% of them had good diet quality. However, there was no significant relationship found between food insecurity and diet quality of these children (p = 0.436). This is somehow indicated that food insecurity does not reflect the diet quality of children from the B40 families in this study.
A Preliminary Survey on the Level of Awareness of Dengue Control Programmes among Residences in Kuala Terengganu
Authors: Han Shiou Feng  , Nur Aida Hashim  , Nur Adila Kamaruddin  , Nur Syahida Wadhihah Kamarudin  , Norasmah Basari
Published: January 2022

Dengue fever and dengue haemorrhagic fever are diseases caused by dengue virus transmitted by Aedes mosquitoes. Dengue fever has caused a high rate of mortalities among Malaysians every year. Even though many campaigns had been conducted by the government to reduce dengue cases, the number of infected people in this country is still high. We conducted this survey to determine the status of dengue fever awareness among residents in Kuala Terengganu. For data collection, face-to-face interviews were conducted, and a questionnaire was administered. There were three categories of respondents, namely urban area residents, rural area residents and university students. Results showed that respondents across the three groups were knowledgeable regarding dengue fever issues and there was no significant difference between the three categories of respondents in the number of residents who had been involved in dengue awareness programmes. However, most of the respondents regarded the dengue awareness programmes as moderately effective and could be overcome if prevention efforts and approaches were being carried out on a continuous basis.
Observation of Flower Visitors to Determine their Potential Role as Pollinators of Ixora coccinae and Ruellia simplex
Authors: Fakhriah Kamaruddin  , Mohamed Nor Zalipah
Published: January 2022

This study aimed to determine the potential pollinating agents of Ixora coccinae and Ruellia simplex at Universiti Malaysia Terengganu (UMT) campus based on the foraging activities of the flower visitors. The diurnal observations (0700 hr to 1800 hr) were conducted for a total of 144 hours and 96 hours for I. coccinae, for R. simplex respectively. The flower visitor activities (landing or hovering at the flowers) and the time spent at the flowers however were recorded for only the first 10 minutes of every hour between 0700 hr and 1000 hr for four days. A total of 383 flower visitations was recorded by 17 insect species and a bird species, the olive-backed sunbird (Cinnyris jugularis). For I. coccinae, the most common visitors were Apis cerana, Heterotrigona itama and Xylocopa confusa, in which all species were found to show only landing behaviour to forage at the flowers, and the time spent foraging at the flowers was not significantly different between the species (Kruskal-Wallis test, H = 1.323, df = 2, p = 0.055). For R. simplex, the most common visitors were A. cerana with 100% landing, and C. jugularis which recorded 80% landing and 20% hovering during their visits to the flowers. Between the two, A. cerana recorded significantly longer time spent at the flowers as compared to C. jugularis (Mann-Whitney test, U = 17.355, p < 0.001). Based on the visitation rate and feeding behaviour of the flower visitors, A. cerana, H. itama and X. confusa were the potential pollinating agents for I. coccinae while for R. simplex, A. cerana showed higher potential to be a pollinating agent as compared to C. jugularis. Therefore, this study highlighted the importance of recording the behaviour of each flower visitor to determine the relative contribution to the pollination success of the plant species visited.
Population Abundance of Red Palm Weevil, Rhynchophorus ferrugineus (Coleoptera: Dryophthoridae) in Rhu Tapai Coconut Plantation
Authors: Nurul Syafiqah Senafi  , Nor Zalipah Mohamed  , Wahizatul Afzan Azmi
Published: January 2022

Red Palm Weevil (RPW), Rhynchophorus ferrugineus is a lethal pest which has been described as a serious pest that reduces the production of coconut tree and other major cultivated palms. RPW infestation was initially detected by Department of Agriculture (DOA) in 2007 in all eight Terengganu districts. Rhu Tapai plantation area is one of the highly infested areas in Terengganu. Until now, limited reports on population abundance of this lethal pest have been discussed particularly in Rhu Tapai. Therefore, a study on population abundance is a must in order to understand the population dynamic of RPW which will be the first step of its control strategy. A total of 12 traps were installed and synthetic pheromones (P028 Ferrolure+) were used in attracting the RPW adults. Overall, 81 individuals of RPW were successfully collected after 16 weeks of pheromone trapping (3rd September until 28th November 2018). The trend of weekly RPW captured was eventually decreasing from Week 1 to Week 16 but showed a sudden increment in Week 10. Pandan cultivar plot captured the highest number of adult RPW compared with Mawa cultivar plots. Result showed no significant difference between RPW sexes percentage of sexes which was 53% of male and 47% of female (1:1 ratio) (U= 0.143, p > 0.05). Daily rainfall and temperature significantly reduced the trapping efficiency (R²rainfall = 0.142, p = 0.145; R²temperature = 0.0858; p = 0.258). These results will be the baseline information for future study regarding control management strategy using pheromone-based mass trapping system.
Relationship of Condition Index and Reproductive Status of Black Snail, Fannus ater in Merchang Lagoon
Authors: Nurul Husna Hassan  , Roslizawati Ab Lah
Published: January 2022

Black snail, Faunus ater is an abundant species in Malaysia yet not many research have focused on its physiological and biological activities. This research aimed to assess the condition index (CI) and reproductive status based on the gonadosomatic index (GSI) for short-term duration. Samples were collected monthly from Merchang Lagoon, from November 2018 to January 2019. Four different types of condition indices equation were applied in this study and the results revealed that there were significant differences between four equations for measuring the CI (P=0.000). However, the result for the GSI shows no significant difference between three month of sampling (P>0.05). CI based on fresh weight measurement (Fww/Tww x 100) and dry weight measurement (Fdw/Fww x 100) reached its peak when GSI decreased. The rest of the trend for CI fluctuated and CI was not affected by GSI. Overall, this study concluded that, there were trends observed in CI and GSI for the black snails. However, it is suggested that longer term observation in future research is needed have a better understanding on the black snails.
The Potential of Solid Electrolyte from Fish Waste for Battery Application
Authors: Muhammad Ashraff Aiman Roslan  , Nik Aziz Nik Ali
Published: January 2022

This experiment was conducted to study the potential of solid electrolyte from the fish waste of Clarias gariepinus for battery application. The battery was one of the important components that supplies electrical energy to users throughout the world, and it strongly contributed to technology development in the economic sector, transportation, residential as well as agriculture. The presence of ammonia in organic fish waste could produce renewable energy and helped to reduce the use of lithium-ion batteries in modern industries. Two different parameters were being observed in this study, which was the quantity of fish and the number of the cell layer. The process of collecting the fish waste was carried out in the hatchery at Universiti Malaysia Terengganu using two methods, which were filtering and soaking. The result showed that the highest value of energy output was 0.430V from waste filtering of 50 fish and 0.207V from soaking in waste of 50 fish. Meanwhile, the lowest energy output was from the tank that contained ten fish with an energy output of 0.177V for filtering and 0.101V for soaking. Besides, for a different number of the cell layer, the highest value of energy output was 0.414V at 25 layers, and the lowest voltage was 0.175V at five layers. Thus, from the study was observed that the produced voltage was dependent on the quantity of fish and the number of the cell layer, when the quantity of fish and number of cell layer increases, the output energy was also increased.
El aprendizaje basado en problemas en el desarrollo de competencias
Authors: Salazar Velásquez Roger Estuardo
Published: January 2022

El desarrollo de competencias en los estudiantes y la búsqueda de estrategias que las faciliten son exigencias de la sociedad actual, ante ello el Ministerio de Educación de Perú a través de la implementación de un nuevo currículo nacional de la educación básica centrado en un enfoque por competencias busca que los estudiantes logren un actuar competente, los docentes  buscan constantemente estrategias que les facilite tener una mejor mediación para el desarrollo de las competencias de los estudiantes, surge como alternativa el Aprendizaje Basado en Problemas (ABP), que es una estrategia que permite al estudiante la construcción y aplicación   del   conocimiento, le proporciona las herramientas y estrategias necesarias para que organice y construya su proceso de aprendizaje, además permite a los docentes tomar decisiones para  atender las necesidades de aprendizaje de los estudiantes  mediante la resolución de problemas reales del contexto que lo rodea. El presente artículo tiene como propósito conocer los beneficios del Aprendizaje Basado en Problemas en el desarrollo de las competencias de los estudiantes. El método empleado fue una revisión bibliográfica de literatura, tesis y artículos publicados en diversas bases de datos y repositorios de universidad. En texto está compuesto por una primera parte una donde se da a conocer la realidad educativa, seguida por el desarrollo temático de ambas teorías tanto del Aprendizaje Basado en Problemas y competencias, finalmente la discusión y las conclusiones obtenidas en el presente estudio
Device to Device Hybridization in 5G and Beyond: A Literature Review
Authors: Lawal Faisal , Usman Aliyu D. , Tekanyi Abdoulie M.S. , Abdulkarim Hassan A. , Tanko Abubakar L.
Published: January 2022

Abstract- Device-to-Device (D2D) communication is one of the most promising technologies to enhance user experience in 5G and beyond. Despite the huge benefit anticipated, enabling D2D in cellular network has encounter some challenges, these challenges include peer discovery and synchronization, mode selection and interference management. However, resolving these challenges promises improved service delivery, spectrum efficiency and reduced latency amongst other gains.  Attempts to enable D2D in both microwave and millimeter wave network gained some traction in recent years in a bid to enable wider coverage and utilization of the technology. Some of the research attempts, challenges and prosects are discussed in this paper.Keywords- Device-to-Device, Microwave, millimeter wave, Inter-cell Interference
Las tecnologías de la información y la comunicación en la formación en competencias blandas
Authors: Chitiva Filiberto Guzmán , Moreno Gerson Maturana
Published: January 2022

La relación entre tecnologías de la información y la comunicación (tic) y el desarrollo de competencias sustenta el establecimiento de una simbiosis sinérgica que contribuye al mejoramiento de desempeños desde la escuela. La presente comunicación plantea la reflexión acerca de la formación de competencias blandas (cb) mediadas por el uso de tic. En general, los resultados de la revisión documental indican que la relación tic-cb facilita el desarrollo de habilidades blandas, complementario a la formación tradicional de habilidades duras en el entorno escolar. Con ello, se facilita el acceso a la educación superior o la inserción al mundo laboral de los estudiantes que se forman. Asimismo, la relación propuesta tiene el potencial de promover la expedición de políticas públicas educativa para el establecimiento de lineamientos que permitan la integración formal y deliberada de las cb en el currículo escolar de la educación básica y media. Este nuevo escenario educativo de integración curricular vislumbra una esencial contribución al uso eficiente de los recursos de tic. con que cuentan las instituciones educativas y al mejoramiento de nuevas habilidades en los estudiantes, su perfil de egreso y de empleabilidad como futuros bachilleres. Esto es un categórico aporte al mejoramiento de la calidad educativa.
Aplicación de la teoría de juegos para conocer el punto de equilibrio en las estrategias comerciales de dos empresas
Authors: Méndez-Mantuano Marcel Oswaldo , Peña Pacha Minoni Chiriboga , Valdez Amanda Yolanda Lozada , Rosado Ángel Raul Huayamave , Morán Mariuxi Yomaira Olvera , Salas Alba Alexandra Rugel
Published: January 2022

Como una aliada en la administración estratégica surge la Teoría de Juegos, la cual, es una herramienta predictiva del comportamiento racional entre participantes (jugadores, competidores, etc.), ya que a nivel productivo existe la necesidad de conocer la interacción generada entre las empresas, para así establecer las mejores estrategias que permitan lograr las mayores ganancias. El presente trabajo investigativo analiza la aplicación teórico-práctica de postulados de la Teoría de Juegos en dos empresas productoras de arroz, para determinar el punto de equilibrio entre las diferentes estrategias, donde esta hipotética situación permite alcanzar los mayores resultados posibles y donde ninguno de los jugadores posee impulsos para cambiar la estrategia, ya que una modificación representaría la reducción de las ganancias proyectadas. Para determinar el punto de equilibrio se aplicaron las metodologías matemáticas de las estrategias puras (dominantes, maximin) y mixtas. La investigación aplicó un enfoque cuantitativo, donde se realizó un análisis numérico de los resultados de los niveles de pérdida o ganancia al realizarse publicidad y de los 5 diferentes niveles de descuentos; el diseño fue de campo, debido a que los datos provienen de fuentes primarias; adicionalmente el alcance fue descriptivo, ya que únicamente se detallan las proyecciones hipotéticas dadas por las empresas y no se abordan las causas – efectos de estas. Se pudo esclarecer que las puras simplifican la determinación del resultado óptimo, sin embargo, existen casos donde es necesario la utilización de las mixtas para determinar las posibilidades factibles dentro de un grupo de estrategias disponibles.
Políticas de Formación Docente: Una Visión ante la Pandemia Provocada por la COVID-19
Authors: Aguilar Andrés Manuel Moncada , Rodríguez Joyce Judith Arámbula , Alcaráz Sergio Arreola , Castro Jesús Alfredo García , Huerta César Granados , Medina Lorena del Rocío Pantoja , Delgadillo Raúl Antonio Ruffo , Sauceda Karina Zamudio
Published: January 2022

El presente trabajo es una síntesis en torno a las políticas educativas y de formación docente, su perspectiva y participación de los diversos actores dentro de la comunidad escolar ante la pandemia provocada por la COVID-19 en México; pretende compilar las significaciones más sobresalientes de este tema con el fin de ser un vínculo teórico al mismo en función de servir como un primer acercamiento. Así como la participación de los diferentes niveles educativos ante la situación actual de la pandemia y que estrategias se implementan.
La ética en la responsabilidad social empresarial
Authors: Garcés Karina Verónica Chávez , Aguirre Maria Laura Roche
Published: January 2022

La responsabilidad social empresarial se ha convertido en parte fundamental de la forma de hacer empresa, no solo conlleva satisfacer las necesidades financieras de la organización sino también ver cómo es sustentable para el entorno ya que debe contemplar los factores sociales, ambientales y económicos. Los cuales se resumen en 4 supuestos: el comportamiento empresarial, la ética en los negocios, las relaciones que se establezcan con los grupos de interés y las políticas empresariales a seguir. El presente estudio pretende identificar los factores que promueven la ética en los negocios sin dejar de lado la responsabilidad social. El estudio a aplicarse fue longitudinal y descriptivo. Se realizará a través de revisión bibliográfica y documental. Los resultados obtenidos demostraron que la técnica aplicada es una fuente extensa de las percepciones de las autoras, las que se utilizarán para futuras investigaciones.
Capacitación docente, basada en la teoría Montessori, para atender la discapacidad intelectual leve en niños de Educación General Básica de Guayaquil 2021
Authors: Macías Patricia Mercedes Tapia , Atoche César Balladares
Published: January 2022

La presente investigación tuvo como propósito determinar que la capacitación docente basada en la teoría Montessori, influye en la atención de la discapacidad intelectual leve en niños de educación general básica de Guayaquil. Se sustentó teóricamente con los aportes de Montessori (1907), Lee (2018), Molina (2012, 2015), Chiavenato (2000), Rodríguez y Ramírez (1997), OMS (2021), AARM (2020),Tünnermann (2011), (Aubrey, 2010), UNESCO (2006), Cossentino (2005), Díaz (2002), Ministerio de Educación del Ecuador (2011), entre otros. La investigación se catalogó como experimental-aplicada, con nivel netamente explicativo. El diseño se clasificó como pre-experimental, con modelo pre-test/post-test con un solo grupo. La población estuvo constituida por 50 profesionales de educación general básica; debido al número finito y conocido de la población se empleó un censo poblacional. Como técnica de recolección de datos se utilizó la encuesta y como instrumento, el cuestionario. El análisis descriptivo de los datos se realizó mediante la confección de tablas de frecuencia absoluta (fa) y porcentaje (%), medidas de posición (promedio, mediana, mínima y máxima), dispersión (desviación estándar) y varianza. Asimismo, se realizó un análisis inferencial acerca de la población, basándose en los datos recolectados y la contrastación de las hipótesis planteadas. Los resultados evidenciaron una diferencia significativa de 19,02, entre los resultados del pre y post test, con un nivel de significancia de 0,000 < 0,05. Por tanto, se aceptó la hipótesis de investigación (Hi) y se rechazó la hipótesis nula (Ho), llegando a la conclusión que la propuesta basada en teoría Montessori influye de forma significativa y positiva en la atención de la discapacidad intelectual leve en niños de educación general básica de Guayaquil. El presente estudio representa un gran aporte para el sistema educativo en lo concerniente al área de la discapacidad e inclusión.
The Impact of Resilience on the Psychological Health of Disadvantaged Children: The Mediating Role of Coping Styles and Core Self-evaluation
Authors: Li Chenxi , Liu Hejing , Liang Zhijiang , Meng Gao
Published: January 2022

Objective: Based on the environment-individual interaction model and the "evaluation-coping" theory, the relationship between Resilience, Coping Style, Core Self-evaluation and psychological health of disadvantaged children was explored to provide some theoretical support for psychological health intervention research. Methods: Resilience Scale for Chinese Adolescent (RSCA), core self-evaluation Scale (CSES), Simplified Coping Style Questionnaire (SCSQ), General Health Questionnaire (GHQ-12) were used to conduct a questionnaire survey among 618 middle school students in South Xinjiang. Results: First, GHQ-12 scores were negatively correlated with RSCA, CSES, and SCSQ scores (r=-0.57/r=-0.56/r=-0.49, P <0.001), and positively correlated with the level of psychological health; second, coping styles is a mediator between resilience and psychological health (mediator effect value is -0.04); third, core self-evaluation is a mediator between coping styles and psychological health, there is "resilience — coping styles — core self-evaluation — psychological health" path. Conclusion: Resilience can directly predict the psychological health of disadvantaged children, and indirectly predict psychological health level through chain mediation of coping styles — core self-evaluation.