Reviewerly/exHarmony huggingface dataset:
Effects of knowledge management (KM) strategies on employee job satisfaction: A study of RMG in Bangladesh

A Knowledge Management strategy is a way of acquiring, creating, transferring, utilizing, and retaining knowledge. This paper aims to review and analyze literature related to knowledge management strategies and their effects on employee job satisfaction. It focuses on how employees react regarding their job satisfaction when they use knowledge management strategies. In the literature review, knowledge, knowledge management, knowledge management strategies, Codified and tacit knowledge, and employee job satisfaction are described and cited from different articles and journals. Data are collected from the survey and some top RMG industries to understand the job satisfaction of employees towards two knowledge management strategies. Respondents are selected according to their age, experience, and departments. Different factors like compensation structure, user friendly, relation with co-workers, autonomy, and the workload of job satisfaction are identified with the help of different literature and analyzed with knowledge management strategies through factor analysis. This paper also indicates that employees are more comfortable with tacit strategy than codified strategy. This paper ends with a conclusion and proper referencing. Keywords: Codified knowledge; job satisfaction; Knowledge management; Tacit or personalized knowledge.
Intensify Assured PHR Sharing in Cloud Using Entropy Based Signature Cryptosystem

Personal Health Record (PHR) in cloud database is stored, manipulated, and shared with users for high value of health care. The challenge is privacy of sensitive personal information and protection of data. In this paper, the attribute entropy key along with signature cryptosystem is proposed to move the data’s stored in third party cloud server in a secure way. In the proposed work, the PHR data is taken as an input and an attribute is selected for which attribute key generated using KEK (Key Encryption Key) algorithm. To secure the generated key, entropy is calculated for PHR data. This key is used to encrypt the PHR data. Then signature based on support value is generated for the PHR data and it is stored with the encrypted data in the cloud. Now, when the users want to access data, decryption is allowed after verification of both generated private key and signature which basically is for data integrity. Once the verifications are successful, then the authorized users are granted permission to access data from the cloud. The results display that the suggested method performs better when compared with other existing methods on parameters like cipher text size, query processing time, communication cost, and decryption time.
Tectonic Indications for Thickness Change of Geological Formations in South Eastern Part Area of Safen Anticline, North Eastern Iraq

The study area is located in the southeastern part of Safen Anticline, northeastern Iraq. The aim of the study is to discuss the listric fault role in the change of the deposition basin topography of Bekhme and Shiranish formations and finally change of their thicknesses. The field data picked up in September of 2020 include bed attitudes and formation boundaries, with their positions. After the drawing of three cross sections and calculating the thickness of Bekhme and Shiranish formations in the studied area, the results showed that the thickness of the Bekhme Formation which represents the reef environment, increases in thickness within the northeastern limb of the fold, While the thickness of the Shiranish Formation which represents the deep environment, increases within the southwestern limb of the fold. These changes were concluded as result occurred due to the reverse movement of the Listeric fault responsible for the growth of the fold synchronously with Bekhme and Shiranish formation deposition.
Practice Teaching Experience of Prospective Korean Language Teachers

The purpose of this study was to explore the experiences of prospective Korean language teachers in the course of educational practice through qualitative analysis.In this study, 50 reviews of Korean language education teachhers were collectd.The data used in this study are testimonials from prospective Korean language teachers who participated in the Korean language education practicum in the course of the academic credit bank system at the Lifelong Education Center of University.The NVivo 12 program was used for the analysis of data.As a result, the prospective Korean language teachers' thoughts on class observation, lesson plan writing practice, class demonstration, and Korean language education practice experience were examined.The Korean language education practice was conducted in the following four ways.These are theory lectures, class observation, practice writing lesson plans, and class demonstrations.Prospective Korean language teachers learn and apply the basics necessary for Korean language classes while participating in educational practice.Moreover in the process, prospective Korean language teachers learn what skills and qualities a Korean language teacher needs, and discover their shortcomings and problems.Therefore, it is necessary to train professional Korean language teachers to explore the experiences and thoughts of prospective Korean language teachers who participate in Korean language education practice.
The Effects of Academic Stress, Empathic Ability, and Meaning in Life on the Happiness of College Students

This study was conducted to understand the effects of academic stress, empathic ability, and the meaning in life on the happiness of college students.A total of 174 college students were surveyed from September 5 to 30, 2021.For data collection, the researcher directly explained the contents of the study to the research subjects and collected the questionnaire from college students who agreed to participate voluntarily.As research tools, academic stress, empathic ability, and the meaning in life were used.The data was analyzed using IBM SPSS Win 22.0 Program.The standard deviation was calculated analyzing the characteristics and variables of the subjects with frequency and mean.The differences between variables according to subject characteristics were analyzed using t-test, ANOVA, and Pearson's correlation coefficients and Scheffe's post hoc analysis.The effect on happiness was analyzed by regression analysis.Based on the results of the study, subjects' academic stress and happiness showed a significant negative correlation, and empathic ability and happiness, and the meaning in life and happiness showed a significant positive correlation.Factors affecting the subject's happiness were academic stress, empathy, and the meaning in life, and the explanatory power of the model was 36%.Through this study, it is suggested that a program that can improve empathic ability and the meaning in life and lower academic stress should be developed to increase the sense of movement of college students, and that various studies are needed by adding variables that can affect college students.
WORKSHOP ROBOTIK DAN MIKROCONTROLLER PADA SISWA SMK BINA INSAN SIAK HULU

This community service activity is carried out as a form of devotion from AMIK Tri Dharma Pekanbaru lecturers to the community, as for the materials chosen in this activity are robotics and microcontrollers, the target is students majoring in computer network engineering at SMK Bina Insan Siak Hulu. The activity was carried out by explaining the theory about robotics and microcontrollers to the participants, then the presenters would practice and demonstrate about making simple robotics. This activity aims so that participants can know and be able to understand science about robotics and microcontrollers, especially in the era of the industrial revolution 4.0, knowledge about robotics and microcontrollers is needed. robotics and microcontrollers. It is hoped that the participants will continue to explore their knowledge after the activity is completed from various references on the internet
DID WE UNDERESTIMATE SILT AND CLAY CONTENT IN THE TEXTURAL ANALYSIS?

Particle size distribution (PSD) is a soil physical property influenced by organo-mineral complexes (or-mic) in silt and clay fractions.In Andosols, these fractions are underestimated due to the presence of or-mic in soil micro-aggregates.This study estimated quantitatively the organomineral fraction by comparing two methodologies of granulometric analysis (sequential dispersion and sieve-sedimentation) in Andosols and Fluvisols from southern Chile.Or-mic were calculated through specific dissolution extractions (Al, Si, Fe).In addition, pH NaF , and soil organic carbon (SOC) were determined.Correlations between Al o (0.74), Al p (0.71), pH in NaF (0.41), and the ormic were found.Or-mic were higher in Andosols, varying between 1.5 and 5.2%, which led to an underestimation of silt and clay fractions of the soil in PSD analysis and, thus, an overestimation of soil texture due to the continuous formation of micro-aggregates.Therefore, to properly determine soil PSD, it is essential to estimate or-mic, particularly in highly reactive soils, which are readily capable of binding organic compounds in their mineral fraction.
Coefficient of Variation of Drinking Water Networks in Residential Urban Complexes

The objective of this paper is to establish a real value of daily and hourly variation coefficients for the design of drinking water networks.Determining the real daily K1 and hourly K2 coefficients of variation of different residential urban complexes, can constitute a reference for the design of future constructions.To be able to size drinking water networks, it is important to know the magnitude of variations in the volume of water that exists and the demands of the population, as the water consumption depends on various conditions and aspects such as: climate, socioeconomic factors population, and for future designs, the global Covid 19 pandemic.The study area will take place in Ecuador, located in the Guayas Province, The Daule city, specifically in the residential urban complexes and called citadels, in the Brillante stage in La Joya and Estelar stage in Villaclub.The macro water meter reading was recorded, 3 days a week, 24 hours a day, in each citadel, then, information was obtained from real water payroll to calculate the coefficients and the impact of the diameter was also calculated with the formula of Hazen Williams.Finally, some real values of coefficients, are not within the range established by current regulations.
DIGITIZATION OF TRADITIONAL BARIO SALT MAKING BASED ON INTERDISCIPLINARY AND VISUAL EXPERIENCE APPROACH

Abstract: This article describes the process of digitizing traditional methods of Bario salt extraction based on documentation and experiences during a field trip to Pa' Umor, Bario, Sarawak. The process of making salt is described in an orderly manner, beginning with the extraction of the salt water, and ending with the packing process. Bario salt is extracted from a salt spring by boiling the brine in a large pot until the salt forms a gray layer, and then collecting the salt from the bottom. This process is still practiced today. However, the production of Bario salt is not widely known because it is a lengthy and laborious process. Moreover, the conventional methods of information transfer are no longer relevant to current technological developments. Therefore, through an interdisciplinary and visual experience approach, all images are recorded in a digital documentation using the latest digital tools and then analyzed through the art of formalism. The result is a short video production and digital interactive poster called ID-Poster that uses the augmented reality application. It is hoped that this article will provide new ideas and visual insights that can help in promoting rural tourism.&#x0D; Keywords: Bario Salt; Visual Experience; Interdisciplinary; Digital Documentation; Rural Tourism
Lightweight Detection Model Based on Attention Mechanism

Object detection algorithms have been widely used in important fields such as national defense, military industry and transportation. However, due to the limitation of computing power and power consumption of hardware devices, most of the object detection models deployed in mobile devices are lightweight models, and their detection accuracy can not fully meet the needs of complicated scenes. This paper proposes a new model adding path aggregation and attention mechanism to nanodet, an anchor-free detection model, and improves the detection accuracy with litte cost. On our dataset, tested with RTX 3080TI the AP50 reaches 62.09% and only cost little additional inference time. It has a good reference value for the deployment of lightweight model in engineering practice.
Pengaruh layanan kotak literasi cerdas terhadap minat baca masyarakat di Pangandaran

Introduction. The level of public interest reading in West Java, especially in Pangandaran Regency is in the low category, this is due to the lack of facilities that support public interest reading. One of the efforts of West Java local government to increase the public interest reading is by distributing Kotak Literasi Cerdas services or Kolecer to several districts and cities in West Java, including in Pangandaran Regency. This study aims to analyze the effect of library services, namely Kotak Literasi Cerdas or Kolecer on public interest reading in Pangandaran Regency.Methodology. This research is a quantitative study that shows the effect of variable X (Kolecer service) to variable Y (public interest reading). The population in this study amounted to 500 people, with a sample of 50 respondents. The data was collected by distributing questionnaires and observation. Meanwhile, the data analysis technique used descriptive statistical analysis and intervention statistical analysis, namely correlational analysis and simple linear regression. Results and discussion. This study indicates that there is a moderate positive effect between Kolecer services and public interest reading, which is 25.2%. In addition, several facilities from Kotak Literasi Cerdas service get an average mean value of 4.28.Conclusion. Reading interest influenced by the accessibility to books and other reading maerials. One of the public services offered is Kotak Literasi Cerdas which has proven to help communities build their reading interest.
Colloquial Words in Indonesian Social Media

Colloquial words are usually found in the caption or status of social media users. It sometimes creates a confuse for the readers or society because it is just understood by certain community. This becomes a unique and an interesting one to be explored. This research aims to investigate more about colloquial words in Indonesian social media captions those are mainly utilized by young people. It was conducted by a descriptive qualitative method using the theory of colloquial speech, Yule (2010). The data was taken from the captions made by social media users, then identified and classified based on its types. Furthermore, the data analysis of colloquial words was done contextually and theoretically. The research findings showed that from 66 colloquial words data, Coinage had become the highest rate percentage in which it is used to show the uniqueness and a trend or style in a social media caption or status. The unique things and new trends are easier to follow by young people, especially in Indonesian social media. Whereas backformation and derivation become the most rarely percentage used in the caption of Indonesian social media.
Distribution of Spread and Characteristics of Confirmed Covid-19 based on Spatial Autocorrelation in Manado

Covid-19 is a collection of viruses that attack the respiratory system. This virus spread quickly and spread to other regions in China and most countries in the world, including Indonesia. North Sulawesi Province, especially Manado City is one of the cities in Indonesia that has been affected by Covid-19. The highest confirmed Covid-19 cases in Manado City are in the Malalayang, Mapanget, and Wanea villages which are geographically not adjacent/neighboring. This study aims to analyze the spatial distribution of Covid-19 cases and their characteristics. This study uses significant data on Covid-19 cases in every village in Manado City, where there are 86 villages (Malayang Satu Barat Village and Malalayang Satu Timur Village combined), and the focus of this research is on the confirmed variables, with the latest data update is October 21, 2021. The effect of covid-19 between observation locations is accomplished using Moran's I, and the weighting matrix used is the Euclidean distance matrix. The Moran's Index provides an overview of the spatial relevance of the Covid-19 case data in every village in Manado City and specifically the spatial attachment of every village will be explained by the Local Moran's I value (LISA). The results of this study found that there is a spatial autocorrelation found using the Euclidean distance matrix. A spatial correlogram of 30 meters is used as the maximum geographical distance limit for being infected with Covid-19. The Moran's Index value of the Covid-19 case in Manado City is 0.348, meaning that there is a positive autocorrelation between the villages. There are thirteen villages that affect the spread of Covid-19 in Manado City, namely Malalayang Satu Timur dan Barat, Malalayang Satu, Winangun Satu, Kleak, Karombasan Utara, Ranotana Weru, Bumi Nyiur, Pakowa, Tinkulu, Taas, Paal Empat, Tikala Baru, and Paniki Dua.
Evaluation Of Network Access Restrictions Using Mac Address Filtering On Microtik To Improve Network Security

Freedom in the use of the internet network needs to be implemented in a security system in order to keep the hotspot / wifi facilities used by responsible users. Ibnu khaldun Vocational School 1 is a state school that has many study programs, one of which is Computer and Network Engineering. The problem that occurs in the Vocational High School Ibnu Khaldun is the absence of restrictions on internet network access in the use of internet networks at schools so that students, teachers, and school staff are free to use hotspot / wifi facilities, in terms of WLAN (Wireless Local Area Network) network security. The purpose of this study is to evaluate internet network security using Mac Address Filtering which is implemented at SMK Ibnu Khaldun by registering Mac Address clients on the Access List menu to obtain access permissions in an effort to improve network security. The research approach used in this research is the quantitative approach. The result of this research is that after the Wilcoxcon test, the value of Asymp.Sig is obtained. (2-tailed) of 0.000 which indicates that the value of Asymp.Sig. (2-tailed) &lt; 0.05 then Ha is accepted and Ho is rejected. So the results of the evaluation of internet network access restrictions using MAC Address Filtering to improve network security are accepted
Pelatihan Penggunaan Aplikasi Zoom Untuk Guru Sekolah Dasar Pada Masa Pandemi Covid 19

Distance learning at the elementary school level must continue during the COVID-19 pandemic. The presentation of learning materials must be interesting and interactive so that learning remains effective and efficient. However, the carrying capacity of learning itself has not been properly accommodated. One of them is the ability of teachers to recognize, understand and operate the Zoom cloud meetings application which is still very limited. So that there is a need for training that can improve the ability of these teachers. This training was carried out using a descriptive method consisting of planning, implementation and evaluation stages. Techniques for delivering material with lectures and discussions. There were 21 participants involved in the training. The training activity on the use of zoom cloud meetings at SD Negeri 90/II Talang Pantai in Bungo Dani sub-district has been able to improve teacher understanding and the ability of teachers to use zoom cloud meetings to present online learning.
Systematic Mapping on the Creation of Learning Activities Using Virtual Reality

Virtual Reality (VR) is a technology well equipped to enhance learning processes.The development of Learning Activities with Virtual Reality (LAVR), however, remains a complex process.This makes it a somewhat costly process, the full cost of which can be reduced by using a set of tools (framework) for implementing LAVR, involving an educational model with which to guide the developer.In this paper, we review scientific articles that focus on learning processes that use immersive technologies, seeking to identify frameworks and guidelines for the creation of LAVR.To do this, a systematic mapping of the scientific production in ScienceDirect was carried out, observing those studies from 2015 onward that involved topics including virtual reality, learning activities, Bloom taxonomy, and the state of the practice in which they are found.The results show that no studies are to be found in the literature on frameworks, guidelines, or recommendations either for the creation of LAVR or for the production of frameworks that facilitate this process using the Bloom taxonomy.However, studies can be found that guide the creation of LAVR, and these could be used as the basis for creating a framework.Based on the review, it could be concluded that VR favors learning processes at the various levels of education in a range of areas but that there is a paucity of directives able to facilitate the creation, adaptation, and incorporation of LAVR.This, therefore, constitutes a field of interest that merits further research.
Voice assistance for desktops

This paper depends on voice shrewd help. This instrument is utilized for looking through purposes, remnants just by utilizing voice orders. Assuming we need to get to any record or document, we can do it by voice acknowledgment. However, there are sure constraints that the client should set a few voices as a security choice. In the event that the client explains the word it consequently types in the necessary field. It perceives the discourse and searches the suitable substance in the information base and recovers it. The client ought to choose the proper language for the remote helper to comprehend. Assuming any off-base or invalid correspondence happens it summons a few messages in the exchange box. It resembles a product specialist which performs undertakings and occasions dependent on orders. Voice Command and discourse blend are improving the degree of client cooperation in applications. This pattern is presently moving toward business applications like ERP Systems. Carrying out a clever individual right hand (IPA) will engage the application by exploring clients through the framework, yet it additionally empowers the choice to explore and disclose information to the clients through discourse union.
Identification of Drunk People Among Crowds Using Thermography and Machine Learning

This paper attempts to present a novel and safe, non-contact method to classify drunk and sober people, unlike the conventional techniques. For example, using a Breathalyzer can increase the chances of infection. The image classification is programmed based on two differently trained machine learning models, whose results are compared and their accuracy predicted. Using thermal IR images helps identify the thermal behaviour of the facial features, mainly around the eyes, which, according to studies, widely increases when intoxicated with alcohol.