bluuebunny/crossref_metadata_2025 huggingface dataset:
Finanzas y procesos de mejoramiento de calidad liderados por el ingeniero industrial
Authors: Cáceres Rosell Augusto
Published: March 2023

El principal objetivo de una empresa es satisfacer con calidad las necesidades de sus clientes, sin descuidar su viabilidad económica, es decir, incrementar la utilidad y lograr un crecimiento adecuado, a través de la creación de valor. El ingeniero industrial, por su formación académica y por la amplitud de su campo de acción, está perfectamente capacitado para alcanzar el cumplimiento de esta objetivo.
Nuevas tecnologías en la industria del caucho
Authors: Cardello Marco Antonio
Published: March 2023

La vulcanización es esencial para convertir compuestos elastómeros moldeables, altamente viscosos, en productos sólidos, útiles y estables. La misma importancia tiene el método y el equipo empleado para realizarla. La elección es amplia y depende de la forma y de la demanda del artefacto que será vulcanizado, los métodos de vulcanizado y los equipos existentes para obtener los resultados deseados de la forma más eficaz y eficiente posible.
RopB represses the transcription ofspeBin the absence of SIP in group AStreptococcus
Authors: Chiang-Ni Chuan , Chen Yan-Wen , Chen Kai-Lin , Jiang Jian-Xian , Shi Yong-An , Hsu Chih-Yun , Chen Yi-Ywan M , Lai Chih-Ho , Chiu Cheng-Hsun
Published: March 2023

RopB is a quorum-sensing regulator that binds to the SpeB-inducing peptide (SIP) under acidic conditions. SIP is known to be degraded by the endopeptidase PepO, whose transcription is repressed by the CovR/CovS two-component regulatory system. Both SIP-bound RopB (RopB-SIP) and SIP-free RopB (apo-RopB) can bind to thespeBpromoter; however, only RopB-SIP activatesspeBtranscription. In this study, we found that the SpeB expression was higher in theropBmutant than in the SIP-inactivated (SIP*) mutant. Furthermore, the deletion ofropBin theSIP* mutant derepressedspeBexpression, suggesting that apo-RopB is a transcriptional repressor ofspeB. Up-regulation of PepO in thecovSmutant degraded SIP, resulting in the down-regulation ofspeB. We demonstrate that deletingropBin thecovSmutant derepressed thespeBexpression, suggesting that thespeBrepression in this mutant was mediated not only by PepO-dependent SIP degradation but also by apo-RopB. These findings reveal a crosstalk between the CovR/CovS and RopB-SIP systems and redefine the role of RopB in regulatingspeBexpression in group AStreptococcus.
Biology of Fishes in the Middle Reaches of the Kirenga River
Authors:   Irkutsk State University, Yuriev A. L. , Hludnev G. B. ,   Irkutsk State University, Matveev A. N. ,   Irkutsk State University, Samusenok V. P. ,   Irkutsk State University
Published: March 2023

Kirenga River is the large (746 km long) right tributary of upper part of Lena River. River headwaters situated relatively close to west coast of Lake Baikal among the high peaks of the Baikal Ridge at 1470 m a.s.l. Fishes were collected from the Kirenga’s middle reaches during the investigations of biota of Tukolon’ nature protected territory along the 25 km section of riverbed (starting from approx. 375 km upstream from the mouth) in June 2013, June and September 2014, Oktober 2015 and April 2016. According to available data the ichthyofauna at this river section consists of 20 species in 11 families: Far Eastern brook lamprey Lethenteron reissneri, dace Leuciscus leuciscus baicalensis, roach Rutilus rutilus, Czekanowski's minnow Rhynchocypris czekanowskii, Amur minnow Rhynchocypris lagowskii, Eurasian minnow Phoxinus phoxinus, loach Cobitis melanoleuca, Siberian stone loach Barbatula toni, Northern pike Esox luceus, whitefish Coregonus pidschian, tugun Coregonus tugun, roundfish Prosopium cylindraceum, Baikal-Lena grayling Thymallus baicalolenensis, taimen Hucho taimen, lenok Brachymystax lenok, burbot Lota lota, sculpin (spotted sculpin, alpine bullhead) Cottus cf. poecilopus, Siberian sculpin Cottus sibiricus, ruff Gymnocephalus cernuus, perch Perca fluviatilis. Lamprey, burbot and sculpin in our findings were reported from guts of other piscivorous fich species but tugun and Czekanowski's minnow were not registered. Lenok and Baikal-Lena grayling are still most numerous in the river. Low abundance is characteristic to lamprey, loach, Siberian stone loach, burbot, sculpin and Siberian sculpin. Recent growth features in most species are generally similar with the ones for fishes from Kirenga’s low reaches and main course of Upper Lena. Their ages of maturation mostly coincides with other large streams in East Siberia.
Studies of the Water Discharge Effect on the Spawning Migration Distance of Baikal Omul Coregonus migratorius (Coregonidae) in the Selenga River Based on Long-term Data
Authors:   Baikal Branch of Russian Federal Research Institute of Fisheries and Oceanography, Bazov A. V. , Bazova N. V. ,   Institute of General and Experimental Biology SB RAS, Frolova N. L. ,   Lomonosov Moscow State University
Published: March 2023

The Selenga River, the main tributary of Lake Baikal, is 1,453 km long and accounts for 50 % of its surface runoff. It is a large foothill, free-flowing, unregulated watercourse flowing through Mongolia (2/3 of the length) and Russia (1/3). Global climatic changes in recent decades have been particularly evident in the Baikal region: since the mid-1990s, there has been a significant decrease in water and sediment runoff in the Selenga basin. Omul spends most of its life cycle in the lake; spawning takes place in the river system. In total, there are 22 spawning rivers of Baikal omul in the Lake Baikal basin, among which 47 % of its spawning grounds are concentrated in Selenga. Omul spawns in the Selenga channel within 20–580 km upstream of the lake, and in some years it crosses the border between Russia and Mongolia. Based on long-term (1936–2018) data of the Baikal omul spawning migration in the Selenga River, the relationship between the average migration distance of the spawning herd core and the water discharge at the beginning of the spawning migration (September) was analyzed. Statistical analysis has established an approximate threshold for water discharge, which marks the shortening of the spawning path in «high-water» years and a noticeable extension of it upstream in “low-water” years. The role of other cumulative factors affecting the spawning distance of omul is discussed. Under conditions of a long subglacial period, omul eggs are successfully incubated in large areas for five to six months (November–April). Stability of habitat characteristics in such a shelter is ensured by a significant decrease in flow velocity and temperature, as well as increased water transparency and a relatively favorable oxygen regime. Ice cover formation can also be attributed to protective factors: it reliably shelters eggs from external atmospheric impact: average ice thickness on the river during the study period was 0,5 m (0,1–1,5 m, maximum by spring it often reaches 2 m near the shores). Hydraulic construction in the upper Selenga Watershed in Mongolia could have a significant negative impact on the spawning grounds of the Baikal omul, reducing the survival of its eggs during the winter months. Such impacts, combined with global warming and other anthropogenic disturbances, may even lead to the extinction of this cold-loving endemic of the Selenga Basin, which will undoubtedly affect the entire lake ecosystem.
Study of the Impact of the Visual Environment on a Human Depending on the Indicator of Personality Traits
Authors:   Irkutsk State University, Kopylova N. Yu. , Cherkasov D. V. ,   Irkutsk State University
Published: March 2023

The rapid change in the environment comes into conflict with the psychophysiological capabilities of vision and the human organism as a whole, which leads not only to myopia, but also to an increase in the number of mental illnesses. In this paper we investigated the effect of an aggressive visual environment on groups of people divided by psycho-types. To divide were used the scores of the introversion-extroversion scale as revealed by Eisenk's 57-question test. Functional indices were taken after exposure to comfortable and aggressive visual environment (CVE and AVE), specially made two video clips, using the following tests: state self-assessment questionnaire (SAQ), in, as well as “Pilots test” – a video game (when the functional capacity of the body decreased faster error was admitted). Analysis of the results of the experiment allows us to conclude: – Mann-Whitney criterion showed the existence of statistically significant differences at the significance level p < 0.05 between the samples of SAQ indicators before and after exposure to ABC, confirming its negative impact on human well-being; – reliable statistical correlation of test indicators between each other testifies to the detectable influence of the aggressive visual environment on people with different psycho-types; – absence of reliable correlation between the degree of extraversion of introversion and test scores, although observations indicate that introverts in general react more pronouncedly to the impact of aggressive visual environment due to their higher sensitivity to external stimuli and their low stress-resistance; – In order to clarify the specifics of the influence of an aggressive visual environment on people with different psychotypes, the use of multiple techniques or techniques with multiple indicators, or the study of other personality characteristics, such as neuroticism or attention deficits, seems promising.
THE GOVERNMENT'S ROLE IN OVERCOMING UNDERAGE MARRIAGE IN THE MUSLIM COMMUNITIES
Authors: Sarib Suprijati , Alimashariyanto M. , Nur Rahmah , Imamah Ade Irma , Rahmawaty Rahmawaty
Published: March 2023

This research aims to analyze the government's role in overcoming underage marriage in the Muslim communities in Manado City, North Sulawesi Province, Indonesia. The government's involvement is significant because of the yearly increase of child marriage cases in the city. Therefore, this qualitative research employed a descriptive approach to analyze the data, which were collected through observation, interviews, and documentation. The primary data sources were the heads of the Religious Affairs Offices in Manado City, consisting of the Tuminting, Tikala, Wenang, and Singkil Subdistricts, while journal articles, government regulations, literature, and other relevant documents constituted the secondary data. Subsequently, the results showed that the government's duties and functions concerning marriage in the city are implemented through the Religious Affairs Office and include providing services, monitoring, recording, reporting, and guidance. Its role in combating underage marriage in the city's Muslim community is performed through formal activities, namely the socialization of Act No. 16/2019 concerning the age of marriage, pre-marital guidance and education for school-age children and millennial youth, as well as marriage preparation guidance. Also, non-formal activities are performed through lectures, coaching, and rendering marriage advice at the majlis ta'lim and youth events in mosques.
OUTSOURCING IN EMPLOYMENT LAW REVIEWED BASED ON JUSTICE AND LEGAL CERTAINTY ASPECTS
Authors: Manurung Mangaraja
Published: March 2023

Outsourcing is work with the PKWT systems, which are work agreements by companies that can support work at other companies. Before the enactment of the Job Creation Act, there were constraints on the activities of outsourced workers by not being able to do the main work for the company. After the Act's enactment, job creation did not have a job limit for outsourced workers. This study discusses how elements of justice and legal certainty in the law are discussed—employment regarding Outsourcing and How to Outsource after the enactment of the Job Creation Act. This study uses a statute approach to review all laws associated to the problems discussed. This research also applies a normative juridical research method under Indonesia's prevailing rules and regulations.
Comparison of the Anthropometric Indices to Identify Prehypertension Among Male Medical Students
Authors: Vetinly Vetinly , Astiarani Yunisa , Etania Katheryn , Jeremy Jeremy
Published: March 2023

The state of prehypertension that is often neglected in young adults is not inferior to hypertension in contributing to a higher risk of cardiovascular diseases. Several simple anthropometric indices may be used as prehypertension prognostic tools, including Body Mass Index (BMI), Body Shape Index (ABSI), Waist Circumference (WC), Weight to Height Ratio (WHtr), and Body Roundness Index (BRI). This study aimed to compare several anthropometric examinations for detecting prehypertension in male medical students. The cross-sectional study design was conducted on 107 male medical students. Direct measurements of the respondents were carried out with blood pressure data collection and anthropometric examination. The area under the receiver-operating characteristic curve (AROC) analysis with a 95% confidence interval (CI) was used to assess all anthropometric measures’ discriminatory power to assess the risk of prehypertension in the participants. Participants with prehypertension were relatively older and had less active physical activity than normotensive (p<0.05). The mean BMI, BRI, WC, and WHtR were significantly higher in the prehypertensive group than in the normotensive group. However, ABSI was not showing any relationship with blood pressure. The process with 95% CI of blood pressure classification related to anthropometric measures indicates that BMI showed the highest AROC values for the prehypertensive state (AROC: 0.73, 95% CI: 0.63–0.82), and WC had the lowest AROCs (AROC: 0.63, 95% CI: 0.52–0.63). BMI, BRI, WC, and WHtr may be applied as prognostic assessments for prehypertension states in young adult males.
Consumer understanding and use of food labels in Ghana: A review of the evidence
Authors: Konlan Matthew Yosah , Konka Paul , Appiah Benedict O. , Danso Felicia K. A. , Abubakari Braimah B. , Abiwu Hilarius Asiwome Kosi
Published: March 2023

Background
Creating a supportive environment can help manage the growing burden of obesity and diet-related non-communicable diseases (DR-NCDs) through informed diet choices. Food labelling is a typical approach that helps consumers make informed choices when shopping. However, studies on the understanding and use of food labels by consumers in Ghana are limited. To the best of our knowledge, it is the first review to assess the consumer understanding and use of food labels in Ghana.
Methods
This scoping review was conducted up to the end of December 2021 and included both published and unpublished literature on consumer understanding and use of food labels in Ghana.
Results
Eight (8) studies were identified. All, except two, assessed self-reported understanding and use of food labels. Although self-reported understanding of food labels was high, actual understanding through objective measurements was low. The study sheds light on the drivers and challenges of the consumer's use of labels, both of which tend to relate to practical issues (examples include health or religious issues in the former case and time constraints in the latter).
Conclusions
The Government of Ghana and the food industry need to explore new ways to improve consumer understanding of food labels and how they are used.
Key considerations for developing patient management tools for small and nutritionally at-risk infants: A scoping review
Authors: Grey Kelsey , Rana Ritu , McGrath Marie , Kerac Marko
Published: March 2023

Background: To improve global child health, efficacious interventions are important but real-world effectiveness is crucial; this requires translating technical guidance into frontline clinical and patient care practices. Patient management ‘tools’ are frequently used for this purpose, guiding healthcare workers to deliver quality care. Ahead of an update to a patient management tool for small and nutritionally at-risk infants under six months of age (C-MAMI Tool, V2), we reviewed how others have done this in the past. Our aim was to ensure an evidence-based development process to optimise future success and impact.

Methods: We investigated five patient management tools: Integrated Care Pathways (ICPs), Integrated Management of Childhood Illness (IMCI), Paediatric Early Warning Systems (PEWS), Growth Monitoring (GM), and Emergency Triage Assessment and Treatment (ETAT). Searches were run in PubMed and examined evidence on the development, uptake, and effectiveness of these tools.

Results: The tools were developed between approximately 1960-2005, with ongoing development of electronic patient management tools (e-tools). IMCI and ETAT were the most widely used in low- and middle-income countries (LMICs), but low coverage remains a major barrier to effectiveness. Growth monitoring is also widely used in LMICs but lacks strong evidence of effectiveness. Evidence on the use of e-tools for patient management in LMICs is growing. Whilst overall evidence for all these approaches was limited, the strongest evidence of effectiveness was for ICPs. Though evidence was sparse, formative work developing the tools prior to implementation seems important to their future success.

Conclusions: Informed by this review, the C-MAMI Tool was updated to the MAMI Care Pathway Package, using an ICP approach and modelled on IMCI. This living resource continues to evolve: aligning with and accounting for existing pathways and systems; baseline formative user-experience research; formal effectiveness research to actively plan for future scale up; collecting information on variance from and adaptations to the care pathway; possible future e-tools. An ICP approach is relevant to other child health and nutrition topics.
Power optimization in TSPC D flip-flop based 4-bit counter
Authors: Varun  , Bal Krishan , Rohit Tripathi
Published: March 2023

In the present communication, the basic D flip flop has been considered with TSPC (True Single Phase Clock) logic for designing a novel 4-bit counter on 45 and 32nm technology. Here, it was with average power of 309 μWatts and 166.8 μWatts, which is very high on the respective technologies. The challenge is to reduce the average power and off state leakage power. To consider the challenge, two different techniques have been considered for power saving as, sleeping transistors and technique, modified TSPC D flip-flop (modified version In comparative study of simulations, it is observed that employing modified version of TSPC D flip-flop shows the most optimum results in terms of propagation delays and average power. Average power has been obtained as 260.3 μWatts which is 15.76% less than base counter on 45nm technology, and 133.2 μWatts which is 20.14 % less on 32nm technology. Moreover, Transistor sizing has also been used for separate analysis in which case the average power consumption has been found most minimum in 6/4 aspect ratio as 196.6 μWatts and 70.31 μWatts in both technologies respectively, among 6/4, 5/3 and 4/2 ratios.
Facial emotion recognition using hybrid features-novel leaky rectified triangle linear unit activation function based deep convolutional neural network
Authors: Anjani Suputri Devi D. , Suneetha Eluri
Published: March 2023

Facial Expression Recognition (FER) is an important topic that is used in many areas. FER categorizes facial expressions according to human emotions. Most networks are designed for facial emotion recognition but still have some problems, such as performance degradation and the lowest classification accuracy. To achieve greater classification accuracy, this paper proposes a new Leaky Rectified Triangle Linear Unit (LRTLU) activation function based on the Deep Convolutional Neural Network (DCNN). The input images are pre-processed using the new Adaptive Bilateral Filter Contourlet Transform (ABFCT) filtering algorithm. The face is then detected in the filtered image using the Chehra face detector. From the detected face image, facial landmarks are extracted using a cascading regression tree, and important features are extracted based on the detected landmarks. The extracted feature set is then passed as input to the Leaky Rectified Triangle Linear Unit Activation Function Based Deep Convolutional Neural Network (LRTLU-DCNN), which classifies the input image expressions into six emotions, such as happiness, sadness, neutrality, anger, disgust, and surprise. Experimentation of the proposed method is carried out using the Extended Cohn-Kanade (CK+) and Japanese Female Facial Expression (JAFFE) datasets. The proposed work provides a classification accuracy of 99.67347% for the CK+ dataset along with 99.65986% for the JAFFE dataset.
Hate speech detection on twitter using machine learning techniques
Authors: Aastha Joshi , Nirmal Gaud
Published: March 2023

People can now create, post, and share content to connect with each other as social media platforms have grown in popularity. On the other hand, it has also become a forum for hatred and war. The rampant spread of hatred on social media has had a significant impact on society, dividing people into pros and cons on topics that govern the status of a person, place, community, and country. Hate speech on social media is difficult to recognize because messages contain paralinguistic signs, jumbled language, and poorly written content. Due to the lack of consensus on what constitutes hate speech and the lack of background information, it becomes more difficult to detect. Creating huge markup corpora with lots of relevant contexts is a difficult task. Even though scientists have found that hate is a problem on all social media platforms, there is no perfect method to detect accurately. The current state and complexity of the field, as well as the main algorithms, methodologies, and key characteristics used, are described in this paper. It has focused on the important areas that have been explored for hate speech detection and also applied machine learning algorithms to detect it.
Vehicle to grid (V2G) and grid to vehicle (G2V) energy management system
Authors: V. Manikanta Prasad , Lokesh A. , D. Dheeraj Kumar , Das V. , G. Poornachandra Rao
Published: March 2023

Electric Vehicle (EV) batteries are potential energy storage devices in microgrids. It can help to manage microgrid energy consumption by storing energy when there is a surplus (Grid-To-Vehicle, G2V) and returning energy to the grid (Vehicle-To-Grid, V2G) when there is a demand. This methodology can be expressed by developing infrastructure and management systems to implement this concept. This paper presents an architecture for implementing a V2G-G2V system in a microgrid using Layer 3 fast charging for electric vehicles. A microgrid test system is simulated that has a Direct Current (DC) fast charging station to interface electric vehicles. Simulation studies are performed to illustrate V2GG2V power transmission. The test results show the regulation of active power in the microgrid by electric vehicle batteries in G2V-V2G operating modes. The design of the charging station ensures minimal harmonic distortion of the current supplied to the network, and the controller provides good dynamic performance in terms of voltage stability on the DC bus.
Machine Learning for Tarakihi Fish Length Estimation in Aotearoa
Authors:   , Stanley Michael
Published: March 2023

Current practices for monitoring the catch of deep sea fishing vessels is labour intensive requiring a person on vessel measuring individual fish lengths manually. Capturing videos of fish on-vessel instead allows the use of machine learning algorithms for tackling a computer vision based problem to automate the collection of morphological data of the observed fish.

In this thesis we investigate essential methods required and develop a system that uses machine learning algorithms and computer vision techniques to calculate centimetre accurate lengths of singulated fish from video footage. The first stage in this process is the data acquisition, where we explore the use of both a fixed camera and a free camera (one that is held in hand) for gathering the video data from which we extract millimeter lengths. Lengths were gathered on-site to compare the lengths found from images at different orientations and translations. An analysis of the different camera positions and rotations found that a camera positioned above the object of interest and calibration pattern was able to achieve the most accurate lengths. Rotation was found to have an increasingly detrimental effect on predicted lengths as rotation, measured in radians, increased.

Secondly, we use binary masks that are created both manually, and by using an automated approach, based on edge detection, for training a segmentation model to identify fish in images. We leverage shape features and interpretable ML classifier to analyse the features of contours from both inferred masks and those derived from an edge detection. In our analysis of these shape features, we identify a range of values for the feature ”circle deviation” which may be used to identify potential fish contours that did not pass the classification, and flag such contours for further training. We use contours, derived from the edge detection approach, that do pass the classification for creating a dataset of cropped images, to train a GAN from which a synthetic imagery set is created.

Thirdly, we develop a method from extracting the lengths of fish from images by using a checkerboard pattern as a point of reference, to relate pixel lengths to millimeters. Only inferred contours with shape features within the range identified by our analysis are used in calculating lengths. This approach reduced the number of partially visible fish or false positive inferences from affecting our recorded lengths.

Finally, the performance of models trained on real images, synthetic images, and a combination of the two are compared. A model that was trained on both real and synthetic images achieved an average for the absolute differences between true and predicted lengths of below one centimetre over 128 samples. Our results suggest that the use of synthetic data to assist in the creation of a robust training dataset is viable. However, this synthetic data works best when there is also real data available in the training set.
Successful Reposition of an Incarcerated Gravid Uterus by Instrument: A Case Report and Literature Review
Authors: Wang Jing , Jiao Jing-Ru , Wang Ling-Chao , Gong Ling-Ling , Wu Hong-Li , Liu Zhong-Yi , Jiang Su-Min
Published: March 2023

Incarcerated gravid uterus is a rare obstetric condition that contributes to pregnancy-related adverse outcomes, especially if the uterus remains incarcerated and the condition goes undiagnosed until delivery. An effective diagnosis of this condition is benefited from pelvic examination combined with imaging methods and based on suspected symptoms. We present a case of ultrasound-assisted instrument reposition of an incarcerated gravid uterus at mid-gestation and discuss its clinical characteristics, diagnosis, imaging features, and treatment. We believe that once manual reduction fails, the use of instruments will undoubtedly be a better choice.
The impact of positive psychology on EFL trainee teachers’ views on their well-being in the pandemic
Authors: Gabryś-Barker Danuta
Published: March 2023

The pandemic that took us all by surprise and occurred across the world with different degrees of intensity resulted in the situation where there is an urgent need to develop coping strategies that would minimize the damage of lockdown and being left at the mercy of technology in our professional lives. This article demonstrates how my students, future teachers of English at the BA level, reacted to the pandemic and how the course they were participating in impacted their well-being. The course in question is positive psychology in TEFL, a part of TEFL methodology module. It is introduced in the programme of studies as an innovative and individualized approach to teaching a foreign language. But in fact, it offers much more as positive psychology is a whole new attitude to one’s life: “One of the main pillars of positive psychology is the role our emotions (affectivity) play in various con-texts of life; thus this is also true of the language classroom” (Gabryś-Barker 2021: 187). Positive psychology also emphasizes the role of our strengths and weaknesses and the impact of the so-called enabling institutions (such as schools, universities) (Seligman 2002, MacIntyre et al. 2016). The students’ reflections are gathered on the basis of narrative inquiry and as such they are analyzed according to the frame-work of qualitative content analysis.
Determination of genetic diversity between natural and cultured populations of Common Dentex (Dentex dentex) fish in the East Aegean Sea
Authors: Kayaci Ali , Can Mehmet Fatih , Güner Yusuf , Güleç Fatih
Published: March 2023

Common dentex (Dentex dentex) is a commercial species of fish that is a highly valuable food source living naturally near Mediterranean and Atlantic Coasts. Therefore, monitoring and maintaining common dentex habitats are of high importance. A total of 53 specimens were collected from 6 natural habitats (from the Eastern Aegean and from the Antalya coast, which is the closest coast to the Western Mediterranean), and one aquaculture facility in the Eastern Aegean Sea. The mitochondrial Cytochrome Oxidase I (COI) gene was used to detect a total of 26 haplotypes. Along with the COI gene sequence, real-time PCR and highresolution melting analyses were performed as rapid and inexpensive alternatives. Sequence analysis showed that the highest haplotype diversity was obtained from the aquaculture facility in Karaburun and Antalya Locations, Turkey. Analysis of Molecular Variance (AMOVA) based on the haplotype frequencies resulted in 92.54% genetic variation within localities and 7.46% genetic variation between/among localities. The mean fixation index (Fst) was calculated as 0.0746 (p < 0.001). Genetic distances were primarily in collaboration with geographical distances and were efficiently confirmed by high resolution melting (HRM) analysis. The results will be valuable in monitoring and maintaining natural habitats as well as aquaculture facilities where common dentex are grown.
La soberanía alimentaria como indicador de la transformación integral de los sistemas agroalimentarios
Authors: Rivas López Marc , Cussó Segura Xavier
Published: March 2023

The main objective of this work is to develop a model for evaluating the transformations of agri-food systems based on the concept of “food sovereignty”. Analytical models based exclusively on productivist criteria have shown interpretive limitations in the study of complex social systems and their transformations. In this context, the appearance of evaluation models that use a multidimensional perspective is presented as necessary. This multidimensional vision of agri-food systems makes the concept of “food sovereignty” a potential evaluating tool. In this work we identify the values and principles associated with the concept of “food sovereignty”, from which we define a set of evaluable and comparable attributes in space and time. On these attributes we base the development of an evaluation model that allows us to evaluate the transformations of agri-food systems from a historical and holistic perspective.
GOOD CORPORATE GOVERNANCE DALAM PERSPEKTIF ISLAM
Authors: Nalim Nalim
Published: March 2023

The problems of Good Corporate Governance/GCG in Indonesia have wide responses, to some extent of its aplications, from the divergent parties of both theorists and practitioners those are both in the government or the private sectors. For instance, the policy of Badan Usaha Milik Negara/BUMN Nomor Kep-117/M-MBU/2002 on the application of Good Corporate Governance to the state commercial institution (BUMN), the formation of Corporate Governance committee, and banking legal codes. The prevailing corrupt cases, however, take place towards both the state or private commercial institutions such as banking. It is necessary to take into account and settle the problems of GCG in which the the entire parties of varied disciplines are involved. This paper thus point out the Islamic ethics in terms of global concept of GCG nowadays and treat the issue how to practice it that spreads over the different places in the Koran and the prophetic tradition in order to be integrated prior to the context of Indonesia
Application of Augmented Reality in Food Ordering System
Authors: Suryantari Putu Anggi , Wijanarko Rendi Panca , Ana Wati, S.Kom., M.Kom Seftin Fitri , Arifiyanti, S.Kom., M.Kom Amalia Anjani , Wulansari, S.Kom., M.Kom Anita , Deviyanti, ST., MT I Gusti Ayu Sri
Published: March 2023

Current digital trends put the need for information at the forefront, making information processingbetween authorities and organizations a priority. Information is a collection of data that has beenprocessed for use in future decision-making processes. When combined, they form an informationsystem. In the economic world, several food-related businesses have implemented informationsystems in their business fields related to data processing systems to carry out computerizedcommercial transactions. However, there are still many businesses that perform traditional serviceswith pencil and paper and have not been able to implement innovative ordering systems based ontechnological developments. One of the businesses experiencing this problem is Dapoer WidyaRestaurant. This study aims to form an ordering system with the PHP programming language and isdesigned using UML models and Augmented Reality (AR)-based menu innovations using Vuporia andUnity3D. System design is built by the SDLC (System Development Life Cycle) method. The result ofthis study is an ordering information system that includes table determination, integrated transactionreports for Dapoer Widya Restaurant staff, and AR-based menus that display 3D views of the menuserved.Keywords: ordering system, menu, augmented reality, SDLC
Pengaruh Penambahan Ekstrak Buah Pisang dan Daun Kelor ke dalam media terhadap Pertumbuhan Embrio Kelapa (Cocos nucifera L.) secara In Vitro
Authors: Kurniawan Setia , Rahayu Megayani Sri
Published: March 2023

Kelapa merupakan komoditas penting di Indonesia maupun di dunia Internasional. Perbanyakan kelapa dapat dilakukan dengan pembiakan melalui metode kultur jaringan. Kultur embrio merupakan salah satu cara yang dapat digunakan dalam kultur jaringan. Tujuan penelitian ini adalah melihat pengaruh penambahan ekstrak buah pisang dan daun kelor ke dalam media untuk perkecambahan kelapa. Penelitian ini menggunakan Rancangan Kelompok Lengkap Teracak (RKLT) faktor tunggal dengan 5 perlakuan, yaitu kontrol, penambahan ekstrak buah pisang 100 g L-1, ekstrak buah pisang 150 g L-1, ekstrak daun kelor 10 ml L-1, dan ekstrak daun kelor 20 ml L-1. Hasil penelitian ini menunjukan bahwa perlakuan kontrol memiliki hasil daya berkacambah paling tinggi namun tidak berbeda nyata terhadap waktu tumbuh dibanding perlakuan lainnya. Eksplan yang menghasilkan persentase akar dan plumula paling tinggi terdapat pada perlakuan kontrol namun tidak berbeda nyata dibanding pemberian ekstrak daun kelor 10 ml L-1. Pemberian ekstrak buah pisang ambon 100 g L-1 dan 150 g L-1 mengalami tingkat kematian dan browning paling tinggi. Pemberian ekstrak daun kelor 10 ml L-1 memiliki persentase panjang plumula paling tinggi pada 12 MST namun tidak berbeda nyata dibanding perlakuan kontrol dan pemberian ekstrak daun kelor 20 ml L-1.

 

Kata kunci: cendawan, kultur embrio, kultur jaringan
The student perceptions on online biology learning during the Covid-19 pandemic
Authors: Wahyuriyani Fitri , Jufri A. Wahab , Bachtiar Imam
Published: March 2023

The COVID-19 pandemic has changed the patterns of learning in schools. This study aims to determine: (1) the pattern of implementation of online Biology learning at SMAN 1 Kediri; (2) students' perceptions of online Biology learning at SMAN 1 Kediri; (3) differences in students' perceptions of online Biology learning at SMAN 1 Kediri based on grade level; 4) differences in students' perceptions of online biology learning at SMAN 1 Kediri based on gender. This type of research is exploratory, descriptive research. The population in this study were students majoring in science at SMAN 1 Kediri. The research sample consisted of 137 students. The sampling technique used was stratified random sampling. Data analysis was carried out using qualitative and quantitative approaches (calculating categories, percentages, and median tests). The results show that the implementation of online Biology learning at SMAN 1 Kediri used WhatsApp Group (WAG) and Google Classroom (GC) media. Students' perceptions of online learning of Biology subjects during the Covid-19 pandemic varied, both positive and negative. Online learning provides flexibility and easy access to learning resources, but there are also difficulties in student-teacher interaction and understanding of the learning material. Students' perceptions of online learning are similar between grade levels and genders.
The effect of vermicompost on growth of shallots (Allium ascalonicum L.)
Authors: Maulina Lina , Karnan Karnan , Raksun Ahmad
Published: March 2023

Shallots have long been cultivated by farmers intensively because shallots have a high economic value, so they become a source of income for farmers. Shallots are annual plants belonging to monocotyledonous plants that have multi-layered tubers formed from layers of leaves that enlarge and unite with cylindrical leaves. The soil fertility level influences shallots' growth, development, and production, requiring additional fertilizers. One of the good fertilizers used is vermicompost. Vermicompost is an organic fertilizer containing microbes and elements required for plant growth. This study aims to determine vermicompost's effect on shallot growth (Allium ascalonicum L.). This study used a completely randomized design with ten replications. The treatment levels consisted of P0 = 0 grams of vermicompost per 1 kg of soil, P1 = 40 grams of vermicompost per 1 kg, P2 = 80 grams of vermicompost per 1 kg of soil, and P3 = 120 grams of vermicompost per 1 kg of soil. Parameters observed were the number of leaves, number of tubers, plant height, wet weight, dry weight, and chlorophyll content of shallot. The research data were analyzed using ANOVA and Duncan's Multiple Range Test at the 5% level. The results showed that the addition of vermicompost had a significant effect on the number of leaves and chlorophyll content of the shallot but had no significant impact on the number of bulbs, plant height, wet weight, and dry weight of the shallot.
The evaluation of e-learning readiness as a distance learning media of the first-semester biology students
Authors: Ariandi Ariandi , Wahid Masyitha
Published: March 2023

Universitas Sulawesi Barat (Unsulbar) launched its primary Learning Management System (LMS) named E-learning of Universitas Sulawesi Barat or often called “E-learning Unsulbar” in 2020 (https://elearning.unsulbar.ac.id/). Implementing E-learning at Unsulbar is one of the university’s efforts to maximize distance learning, especially during the COVID-19 pandemic. A study was conducted to evaluate E-learning readiness to measure the readiness of new students of the Biology Education Study Program towards the E-learning implementation. It is a quantitative descriptive study using a survey method adapted from a questionnaire developed by Akaslan and Law. The respondents were 77 new students from the biology education class of 2020 in the odd semester of 2020-2021. The measurement adapts three main stages, i.e., readiness (technology, people, institutions, content), acceptance, and training. The result showed that the readiness of new students for E-learning Unsulbar for technology and training factors were 3.1 and 3.3, respectively. It was categorized as not ready, which means that there needed to be more readiness of students’ internet infrastructures and academics who need training in using E-learning Unsulbar. Meanwhile, the scores for the factor of people, institutions, content, and acceptance were 3.8, 4.2, 3.85, and 3.9, respectively, and categorized as ready to be implemented. This result is an evaluation material for the university in determining the right policy for implementing E-learning Unsulbar.
Instruments development for measuring student worksheet media based on scientific approaches
Authors: Mery Berlian  , Dinda Dindawini Salsabilla , Rian Vebrianto
Published: March 2023

Student Worksheets a media in the form of sheets containing tasks and activities that students must carry out, which are useful in supporting the learning process, one of which is in the material on the Structure and Function of Plant Tissues so that students can be active in the learning process. An assessment instrument is needed for the Student Worksheets. For this reason, this study aimed to measure the instrument's validity and reliability for using Student Worksheets as a learning media. This study used Research and Development (RND) methodology with an instrument in the form of a Student Worksheets measurement questionnaire consisting of three constructs: product design, material feasibility, and language feasibility. This research was carried out by involving seven teachers from several schools. Data were obtained by distributing the questionnaire via a Google form from September to October 2022 by obtaining prior consent from the respondents. The data obtained were quantitative, then analyzed using SPSS version 29 in the form of Alpha Cronbach analysis. The results of the test show that the validity of the instrument data meets the valid and reliable criteria with each Cronbach Alpha value per construct, namely Product Design (0.795), Material Feasibility (0.712), and Language Feasibility (0.712). Therefore, this study shows that the developed instrument meets the use requirements in developing Student Worksheets media students. Thus, stakeholders and teachers can use this instrument to develop media, particularly Student Worksheets, whereas further researchers can use this instrument to measure media before the study.
Improving student involvement in physics statistics through e-task
Authors: Zakirman Zakirman
Published: March 2023

The Open Educational Resources (OER) media is used in distance lectures in Statistical Physics to increase student learning resources. However, OER needs to support distance lectures optimally. Therefore, a case-based E-task is needed as an alternative solution. This study investigated the effect of using e-Task on student involvement in Statistical Physics lectures. This type of research is quasi-experimental. This research was conducted in semester 2021.2 at the Open University, involving a sample of students taking statistical physics courses in the Physics Education program. The data analysis technique used was the independent sample t-test, with the data being normally distributed and homogeneous. Based on the results of the independent sample t-test analysis above, it can be concluded that the experimental class has a higher score than the control class, namely the attendance percentage is 100, the discussion percentage is 80.8, and case-based e-task solving is 7.3. It shows that there is a significant difference between the experimental class and the control class. Thus the use of e-task can increase student involvement in Statistical Physics lectures.
Imperfection method based on optical fiber for alcohol content detection sensor
Authors: Yunus Muhammad , Aziz Syahdad , Tang Bunga , Usman Yusuf H. , Irsan Irsan , Kurniasari Septiana
Published: March 2023

Testing of optical fiber-based sensors using the imperfection method to detect alcohol contents. The sample results from mixing alcohol and distilled water to produce eight samples with an alcohol content level from 0% to 70%. The greater alcohol content causes the output power of the sensor to decrease due to the increase in the refractive index of alcohol content around the sensor. An increase in the refractive index of alcohol content causes power losses to increase, resulting in lost light intensity being transmitted in optical fiber-based sensors. Power losses are increasing to produce the best characteristics of the sensor. The best sensor is shown in the Gamma configuration at imperfection 3 with a sensitivity value of 0.346 µW/%. The imperfection method is suitable for determining the characteristics of optical fiber-based alcohol detection sensors because it has a high sensitivity.
Implementation of project-based learning models to improve science literacy of junior high school students
Authors: Fauziah Durotun Ayu , Erman Erman , Enny Susiyawati  , Mohammad Budiyanto
Published: March 2023

This study aims to provide an overview of students' scientific literacy effectiveness through project-based learning (PjBL). The type of research used is pre-experimental design research through one group pretest-postest design. The subjects in this study were 22 students of class VII A in junior high school SMP Negeri 3 Sumberejo, Bojonegoro, in the 2022/2023 academic year. The data collection techniques used were tests and questionnaires. Research instruments are science literacy tests and student response questionnaire sheets. The results were analyzed using the N-Gain and t-paired tests with effect size. The implementation observation sheet and the response questionnaire were analyzed descriptively and quantitatively. The results showed that the science literacy ability of grade VII A students of SMP Negeri 3 Sumberejo increased from an average pretest score of 30.6 to 38,03 at the post-test. Students' science literacy ability is in a low category with an average N-Gain of 0.10 with an effect size of 0.63 in the moderate category. Improving students' science literacy skills is also supported by implementing learning that is carried out correctly. The application of project-based learning received a positive response from students. Students find learning using project-based learning environmental pollution material fun, attractive, and easy to understand and use, helping to understand the concept of environmental pollution and practicing science literacy. The implication of this study's results is that students should practice many scientific literacy questions referred to as indicators of scientific literacy competency.
Self-evaluation using the model purpose free evaluation in physics subjects in high schools
Authors: Noho Fitriyanti A. , Umar Masri Kudrat , Uloli Ritin , Odja Abdul Haris , Supartin Supartin , Buhungo Trisnawaty Junus
Published: March 2023

The research objective is to evaluate the implementation of a self-evaluation program using an aimless model evaluation of physics subjects in high school. The evaluation focused on how the self-evaluation program was implemented using three stages prepared by the evaluators or researchers in this study, namely the planning stage, the implementation stage, and the final result stage. The research subjects were students of class XI, XII, and a physics teacher. The instrument used was a questionnaire containing statements regarding the implementation of self-evaluations carried out by the teacher. The research method uses a quantitative approach with an evaluative type. Data collection techniques using observation and questionnaires. The results of the research on the implementation of the self-evaluation program in physics subjects in high school obtained an average of 81% and above, this figure is included in the very good criteria, and this shows that the program has been successful, but this needs to be continued to be considered and improved to increase student interest in physics.