bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PRODUKTIVITAS ALAT TANGKAP CANTRANG DI PELABUHAN BRANTA PESISIR TLANAKAN, PAMEKASAN MADURA
Authors: Kholizah Nur , Zainuri Muhammad , Farid Akhmad
Published: October 2023

Produktivitas kapal penangkapan ikan merupakan tingkat kemampuan kapal penangkap ikan untuk memperoleh hasil tangakapan ikan per tahun. Jaring Tarik Berkantong merupakan alat tangkap berkantong besar berbentuk seperti kerucut dan merupakan alat tangkap yang mendominasi di Pelabuhan Branta Pesisir. Tujuan dari penelitian ini yaitu untuk mengkaji penangkapan ikan menggunakan Jaring Tarik Berkantong dan produktivitas hasil tangkapannya. Penelitian ini dilaksanakan pada April-Mei 2022 di Pelabuhan Branta Pesisir, Tlanakan, Pamekasan, Madura. Metode yang digunakan pada penelitian ini adalah metode observasi secara langsung dengan jenis penelitian studi kasus. Metode analisis data yang digunakan adalah status pemanfaatan, produktivitas berdasarkan jumlah hasil tangkapan, produktivitas per ABK, dan produktivitas per trip. Pengoperasian Jaring Tarik Berkantong terbagi menjadi 3 tahapan yaitu persiapan, setting, dan hauling. Hasil analisis status pemanfaatan diperoleh nilai 3.492,84 ton/tahun yang diperoleh dari 80% nilai MSY. Hasil penelitian menunjukkan produktivitas berdasarkan jumlah hasil tangkapan, per ABK dan per trip diperoleh nilai sebesar 5.658 kg/unit atau 5,658 ton/unit, 0.566 ABK/trip, dan 1.885 ton/trip. Nilai produktivitas Jaring Tarik Berkantong di Pelabuhan Branta Pesisir menunjukkan bahwa nilai produktivitas pada penelitian ini telah melebihi peraturan yang telah ditetapkan.The productivity of fishing vessels is the level of ability of fishing vessels to obtain fish catches per year (KEPMEN-KP 2021). Cantrang is a fishing gear that is like a large bag shaped like a cone and is the dominant fishing gear in the Coastal Branta Harbor. The purpose of this study was to determine the process of catching fish using cantrang fishing gear and to determine the productivity value of cantrang catches. This research was conducted in April-May 2022 at the Port of Branta Pesisir, Tlanakan, Pamekasan, Madura. The method used in this research is the observation method with the type of case study research. The data analysis methods used are utilization status analysis, productivity analysis based on the number of catches, productivity analysis per crew, and productivity analysis per trip. Cantrang operation is divided into 4 stages, namely preparation, setting, and hauling. The results of the utilization status analysis obtained a value of 3,492.84 tons/year which was obtained from 80% of the MSY value. The results of the productivity analysis based on the number of catches, per crew and per trip obtained values of 5,658 kg/unit or 5,658 tons/unit, 0.566 crew/trip, and 1,885 tons/trip. The productivity value of cantrang at the Coastal Branta Port shows that the productivity value in this study has exceeded the established regulations.
La celebración del «Sabbat» por los terapeutas de Alejandría según el tratado «De vita contemplativa»
Authors: Cardoso-Bueno Diego-Andrés
Published: October 2023

Los terapeutas descritos por el filósofo hebreo Filón de Alejandría en su tratado De vita contemplativa, constituyen una original congregación filosófica judía mixta, femenina y masculina, en la que su devenir cotidiano giraba alrededor de un puro objetivo espiritual: conseguir la virtud y el acercamiento a Dios a través del ejercicio espiritual, representado por la propia vida ascética recoleta y por la práctica de la contemplación. Solamente en dos ocasiones se rompía el aislamiento personal de sus componentes para tener sendas jornadas de convivencia comunitaria, durante la celebración del Sabbat, que analizamos seguidamente, y en la fiesta pentecostal acaecida cada cincuenta días.
Nicu DUMITRAŞCU (ed.), The Fathers on the Bible, London-New York: Routledge-Taylor & Francis, 2022, 270 pp., 15,5 x 23,5, ISBN 978-10-3220-956-2.
Authors: Caballero Juan-Luis
Published: October 2023

Book Review
Carmen YEBRA ROVIRA, La Biblia y el arte occidental, Estella: Verbo Divino («Qué se sabe de...»), 2022, 285 pp., 14,5 x 20, ISBN 978-84-9073-821-4.
Authors: Varo Francisco
Published: October 2023

Book Review
Personalistyczne rozumienie kontemplacji
Authors: Miczyński Jan Krzysztof
Published: October 2023

Celem artykułu jest ukazanie sensu i doniosłości kontemplacji w kolorycie współczesnej myśli chrześcijańskiej, która ujmuje człowieka jako osobę. Wydaje się, że personalizm daje możliwość uniknięcia ujęć redukujących modlitwę człowieka do procesu psychofizycznego, emocjonalnego, beztreściowego i w sumie nierealnego, polegającego na autotranscendencji. Wszystkie wymiary życia ludzkiego są istotne, ale ujęcia fragmentaryczne nie wyczerpują treści fenomenu osoby. W konsekwencji też mogą prowadzić do błędnego rozumienia relacji z Bogiem. Z tego też powodu artykuł omawia w kolorycie personalistycznym trzy ważne tematy, są nimi: podmiot, przedmiot i istota kontemplacji. Metodę badawczą można określić jako personalistyczną (hermeneutycznym kluczem badawczym jest osoba). Punktem wyjścia dla przeprowadzonej analizy jest omówienie wewnętrznej struktury osobowej człowieka i w jej świetle spojrzenie na fenomen kontemplacji, na wewnętrzny i zewnętrzny świat życia ludzkiego. Analiza nawiązuje do tradycji teologiczno-duchowej Kościoła, a także do nauczania świętych. Stara się w sposób całościowy i niekiedy twórczo-krytyczny ocenić ujęcia starsze. Jako podstawowe źródło przyjmuje objawienie zawarte w Piśmie Świętym. Główne wnioski przeprowadzonych analiz są następujące: podmiotem kontemplującym jest cała ludzka osoba (pomimo że główną rolę pełni umysł); głównym przedmiotem jest Communio Personarum (Osoby Niestworzone, Trójca Święta); kontemplacja — dzięki łasce Bożej — jest relacją z Osobowym Bogiem, jest „udoskonalaniem” wewnętrznych struktur człowieka do zjednoczenia się z Osobami Bożymi (wewnętrzna struktura ludzka staje się podobna do wewnętrznej struktury Osoby Niestworzonej); jest to proces, który można nazwać chrystyfikacją (uchrystusowieniem), przebóstwieniem, eschatologizacją świata osób stworzonych — osoby indywidualnej i osoby społecznej (całej rodziny ludzkiej).
KIF20B Correlates with LUAD Progression and Is an Independent Risk Factor
Authors: Yang Jianye , Xu Liang , Han Xiaoliang
Published: October 2023

Objective: Kinesin family proteins (KIFs) play crucial roles in human tumorigenesis and progression. This study aimed to investigate the expression and association of Kinesin family member 20B (KIF20B) with lung adenocarcinoma (LUAD).

Methods: RNA-seq data from LUAD patients (n = 535) were extracted from TCGA. KIF20B expression was compared between tumor tissues and controls, and between different stages of the disease. Survival and Cox regression analyses were performed, as well as in vitro cellular experiments on A549 cells.

Results: KIF20B is upregulated in LUAD tumor tissues compared with controls and is higher in advanced stages. Patients with high expression of KIF20B have shorter survival times. KIF20B is an independent risk factor for the prognosis of LUAD. High KIF20B expression samples were enriched in signaling pathways related to tumor progression. si-KIF20B transfection reduced migration and invasion of A549 cells and increased apoptosis. The expression of p53 and Bax proteins was upregulated by si-KIF20B, while Bcl-2 was down-regulated.

Discussion: This study reveals that high KIF20B expression is an independent risk factor for the poor prognosis of LUAD. The inhibition of KIF20B might be of great value for suppressing LUAD progression.
Evaluating the impact of flexible offices in coping with the uncertainty in future demand
Authors: Martani Claudio , Fiorot Noemi , González Andrea , Adey Bryan T , Van Wezemael Joris
Published: October 2023

The potential growth in working from home poses a large uncertainty in the future demand for office space. Flexible offices can help limit the negative effect of this uncertainty by allowing future changes in use. To ensure that the investment in flexibility is proportioned to the risk that it minimises, the real options methodology is used in this work for modelling the uncertainty in future demand for office space and estimating its effect on stakeholders in the long term. The methodology is tested on an example of a multistorey mixed-tenant office building in Zurich, Switzerland, for which ten designs are proposed and the triggering logic is modelled. The designs have various degrees of flexibility, and the triggering logic mimics the decision criteria of an owner. The results show that under the investigated circumstances, a flexible design with movable walls for enabling periodic conversion of the unrented office space into co-working spaces, and with parcelled technical elements to allow the conversion of long-unrented office space into residential units, is the optimal decision for all involved stakeholders over the building life. The authors draw conclusions about the strengths and limitations of the real options methodology in this context and envision future developments.
Цифровой ВИЧ-активизм в России: агенты и повестка
Authors: Юдина Дарья , Дудина Виктория
Published: October 2023

Активизм в сфере здоровья улучшает доступ к качественной медицинской помощи и обеспечивает социальную поддержку через привлечение внимания к ее острым проблемам и организацию коллективных усилий по их решению. Активизм здоровья широко использует возможности социальных медиа. Одной из групп, требующих особой организации социальной поддержки, являются люди, живущие с ВИЧ (ЛЖВ). В социальных сетях представлено множество различных онлайн-­сообществ, которые активно вовлекаются в решение проблем ЛЖВ, но степень институциализации их деятельности и направленность их усилий различаются. В результате сложившегося медиапотребления, в котором доминируют социальные сети, повестка этих сообществ в значительной степени влияет на информационную картину ЛЖВ, обусловливая и направляя их поведение относительно медицинских и немедицинских проблем как в позитивном, так и в негативном отношении. Исследование основывается на идеях, развиваемых в рамках теории «установления повестки» (agenda-­setting theory) и адаптирует их к области онлайн-­коммуникаций в сфере здоровья. Основной исследовательский вопрос состоит в том, какую тематическую повестку формируют в социальных медиа агенты цифрового ВИЧ-активизма, различающиеся по степени институциализации и направленности деятельности. На основе предварительной типологизации нами сформирована выборка из четырнадцати наиболее крупных онлайн-­сообществ ВИЧ-активизма в социальной сети Вконтакте, в которую вошли сообщества ВИЧ-ориентированных НКО, сообществ взаимопомощи и ВИЧ-диссидентские сообщества. Сделан вывод, что цифровой ВИЧ-активизм в пространстве социальной сети Вконтакте отличается от классических представлений о социальном активизме здоровья и представляет собой сочетание бюрократизированной повестки НКО, стратегий индивидуального консультирования и взаимной поддержки, предлагаемых сообществами взаимопомощи, а также эмоционально заряженной конспирологической повестки ВИЧ-диссидентских сообществ. Идеи по изменению институциальных условий, которые способствуют решению проблем целевой группы, отсутствуют в повестке рассмотренных сообществ. Потенциал цифрового активизма в обеспечении социальной поддержки уязвимых групп остается недоиспользованным.
Design and Implementation of Intelligent Traffic-Management System for Smart Cities using Roaming Agent and Deep Neural Network (RAD2N)
Authors: Sankar P. , Joel M. Robinson , Husain A. Jahir
Published: October 2023

In metropolitan areas, the exponential growth in quantity of vehicles has instigated gridlock, pollution, and delays in the transportation of freight. IoT is the modern revolution which pushes the world towards intelligent management systems and automated procedures. This makes a significant contribution to automation and intelligent societies. Traffic regulation and effective congestion management assist conserve many priceless resources. In order to recognize, collect and send data, autonomous vehicles are furnished with IoT powered Intelligent Traffic Management System (ITMS) having a set of sensors.  Moreover, machine learning (ML) algorithms can also be employed to enhance the transportation system.  Traffic jams, delays, and a high death rate are the results of the problems that the current transport management systems face.  In this paper, an active traffic control for VANET is proposed which merges Roaming Agents (RA) with deep neural networks (DNN). The effectiveness of the DNN with RA (RAD2N) routing method in VANETs is evaluated experimentally and compared with the traditional ML and other DL routing algorithms. Several traffic congestion indicators, including delay, packet delivery ratio (PDR) and throughput are used to validate RAD2N. The outcomes demonstrate that the proposed approach delivers lower latency and energy consumption.
Local Industrialization Based Lucrative Farming Using Machine Learning Technique
Authors: Patil Sakshi  A. , Bewoor Mrunal S. , Patil Sheetal S. , Jadhav Rohini B. , Pawar Avinash M. , Mali Sonali D. , Kadam Amol K.
Published: October 2023

In recent times, agriculture have gained lot of attention of researchers. More precisely, crop prediction is trending topic for research as it leads agri-business to success or failure. Crop prediction totally rest on climatic and chemical changes. In the past which crop to promote was elected by rancher. All the decisions related to its cultivation, fertilizing, harvesting and farm maintenance was taken by rancher himself with his experience. But as we can see because of constant fluctuations in atmospheric conditions coming to any conclusion have become very tough. Picking correct crop to grow at right times under right circumstances can help rancher to make more business. To achieve what we cannot do manually we have started building machine learning models for it nowadays. To predict the crop deciding which parameters to consider and whose impact will be more on final decision is also equally important. For this we use feature selection models. This will alter the underdone data into more precise one. Though there have been various techniques to resolve this problem better performance is still desirable. In this research we have provided more precise & optimum solution for crop prediction keeping Satara, Sangli, Kolhapur region of Maharashtra. Along with crop & composts to increase harvest we are offering industrialization around so rancher can trade the yield & earn more profit. The proposed solution is using machine learning algorithms like KNN, Random Forest, Naïve Bayes where Random Forest outperforms others so we are using it to build our final framework to predict crop.
Energy and Mobility Models based Performance Evaluation in MANET
Authors: Sarao Pushpender
Published: October 2023

Mobile ad hoc networks are constituted with randomly moving nodes and movement of these nodes is depended upon moving model used in the network. Performance of the network directly depends on the movements and energy consumed in a specific time period by the nodes. Also performance of the protocol used for communication depends on the type of mobility model used by that specific protocol. In this paper, performance of AODV (Ad hoc On demand Distance Vector) routing protocol have been evaluated in respect of five mobility models Random Way Point Mobility Model, Manhattan Grid Mobility Model, Gauss Markov Mobility Model, Random Direction Mobility Model, RPGM (Reference Point Group Mobility)). Performance metrics are considered as: average energy consumption and average residual energy. By varying the network connections, speed of the nodes, and node densities, in different scenarios, routing protocol has been simulated in network simulator 2.  Simulation results show that reference point group mobility model is best suitable model as compared to other mobility models for AODV protocol in terms of energy consumption.
Face Sketch to Image Generation using Generative Adversarial Network
Authors: Vibhute Anup , Bhosale Pranita , Maralbhavi Nikita , Galande Shailesh , Bhandare Mokshada S.
Published: October 2023

Numerous studies have been conducted in the area of sketch to picture conversion and they got the good outcomes, but sometimes it is not accurate that they observed the blurry boundaries, the mixing of two colors that is the color of hair and face or mixing of both. These results are of the convolution neural networks that are basic of GAN. So to overcome their drawbacks we proposed a novel generative adversarial network using conditional GAN. For that we converted the original image in sketch and both the sketch and original image as reference is applied as input. We got more realistic and sharp colored images as compared to other. We focused on the feature detection, and the results are good. For the experimentation we used the STL-10 dataset. We overcome the problem of mixing of colors and got the different colors for hair, lips, and skin using conditional GAN as compared to CNN modern with increased performance and precision.
Implementation of Feature Engineering in Prediction of AQI in India using Machine Learning
Authors: Gupta Reema , Singla Priti
Published: October 2023

Prediction of Air Quality Index (AQI) is the necessity of today’s era but for the prediction, analysis of different preprocessing techniques that can be applied, needs to be considered. In this study, first of all we explored various feature engineering techniques such as Data Imputation, Scaling, Extraction, Selection, and Data Split that can be used before applying machine learning algorithm for better results. Second, we used MLR and SVR (Linear, Gaussian) to build the prediction models. Finally, we used root mean square error (RMSE), R2, Mean Squared Error (MSE) and Mean Absolute Error (MAE) to evaluate the performance of the regression models in collaboration with the feature engineering techniques. The results shows that the performance of Linear SVR is better when coupled with imputation and robust scaler (R2=0.7557834846394744) as compared to the others, the performance of Gaussian SVR is better when coupled with the imputation only as compared to the others. In case of MLR, results (R2=0.7769187383819041) are almost same in all the 4 cases and performance degraded when PCA was applied.
Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
Authors: Saraswathi C. , Pushpa B.
Published: October 2023

Alopecia Areata is a health condition marked by the absence of hair in specific regions, such as the scalp, face, and parts of the body. It occurs due to an autoimmune reaction where the body's immune system erroneously targets the hair follicles, leading to irregular hair loss patterns. It can affect people of all ages, genders, and ethnicities, and it is estimated to affect about 2% of the population worldwide. Timely identification and precise diagnosis of this condition are crucial in order to implement effective treatment strategies. The most common type of alopecia is alopecia areata (AA), which is typically detected and diagnosed using medical image processing models. In this study, we describe a unique method for image processing that incorporates a multiclass support vector machine classification approach. Our proposed methodology aims to attain accurate detection and categorization of a wide range of scalp issues, encompassing Alopecia Areata and other related conditions. The proposed approach entails capturing images of individuals with alopecia disease, enhancing the quality of the images through preprocessing techniques, and extracting distinctive features from scalp images using a range of image processing methods. Next, the extracted features are fed into a Multi-class SVM classifier, and a machine learning model is trained to achieve precise classification of the various conditions associated with alopecia areata. The evaluation of the proposed method using hair and scalp image databases demonstrates that the Multi-class SVM model achieves an accuracy of 89.3%, outperforming other models in terms of classification accuracy.
TinyML based Deep Learning Model for Activity Detection
Authors: N. Kayarvizhy , Gera Bharath Mahesh , Sharma Bhavya , S. Dakshinamurthy
Published: October 2023

Our physical and emotional well-being are directly impacted by our body positions. In addition to promoting a confident, upright image, maintaining good body posture during various activities also ensures that our musculoskeletal system is properly aligned. On the other side, bad posture can result in a number of musculoskeletal conditions, discomfort, and reduced productivity. Accurate systems that can detect posture in real time, activity detection, are required due to the rising use of wearable technology and the growing interest in health and fitness tracking. The goal of this project is to create a TinyML model for wearable activity detection that will allow users to assess their posture and make necessary corrections in order to improve their health and general well-being. The project intends to contribute to the creation of useful posture detection technologies that can be quickly implemented on wearable devices for widespread usage by leveraging machine learning algorithms and wearable sensor data. For reliable posture categorization, the model architecture combines deep neural networks (DNN) and LSTM layers. With the development and implementation of the TinyML model, a significant decrease in the model's power consumption, memory, and latency was achieved without any compromise in the accuracy. This work can be used in the fields of health, wellness, rehabilitation, corporate life, sports and fitness to keep track of calories burned, activity duration, distance traveled, posture analysis, and real-time tracking.
DStore: Blockchain-Powered Decentralized Cloud Mesh
Authors: Phatangare Sheetal Atul , Jaybhaye Sangita Maheshwar , Savale Vaishali , Vimal Aryan , Agrawal Avish , Bajaj Raghav
Published: October 2023

Data is a critical asset for any company, as well as for any individual as well, but it is also vulnerable to attack. In the last few years, we have seen an alarming increase in data breaches that have compromised millions of accounts and resulted in billions of dollars lost. But how do you protect something so sensitive? In response to this, we propose our Project. This project focuses on developing a Decentralized Cloud Storage to store and secure data. You don't access data simply specifying 'where it is' in Decentralised Cloud Storage. Instead, you define 'what it is'. Because data is distributed throughout a global network rather than being stored in a specific location, the concept of location is rendered obsolete in decentralised cloud storage.
Adaptive Grey Wolf Optimization Technique for Stock Index Price Prediction on Recurring Neural Network Variants
Authors: Gupta Priyank , Gupta Sanjay Kumar , Jadon Rakesh Singh
Published: October 2023

In this paper, we propose a Long short-term memory (LSTM) and Adaptive Grey Wolf Optimization (GWO)--based hybrid model for predicting the stock prices of the Major Indian stock indices, i.e., Sensex. The LSTM is an advanced neural network that handles uncertain, nonlinear, and sequential data. The challenges are its weight and bias optimization. The classical backpropagation has issues of dangling on local minima or overfitting the dataset. Thus, we propose a GWO-based hybrid approach to evolve the weights and biases of the LSTM and the dense layers. We have made the GWO more robust by introducing an approach to improve the best possible solution by using the optimal ranking of the wolves. The proposed model combines the GWO with Adam Optimizer to train the LSTM. Apart from the LSTM, we have also implemented the Adaptive GWO on other variants of Recurring Neural Networks (RNN) like LSTM, Bi-Directional LSTM, Gated Recurrent Units (GRU), and Bi-Directional GRU and computed the corresponding results. The Adaptive GWO here evolves the initial weights and biases of the above-discussed neural networks. In this research, we have also compared the forecasting efficiency of our proposed work with a particle-warm optimization (PSO) based hybrid LSTM model, simple Grey-wolf Optimization (GWO), and Adaptive PSO. According to the experimental findings, the suggested model has effectively used the best initial weights, and its results are the best overall.
Automated Plant Disease Recognition using Tasmanian Devil Optimization with Deep Learning Model
Authors: Venkatakrishnan N. , Natarajan M.
Published: October 2023

Plant diseases have devastating effects on crop production, contributing to major economic loss and food scarcity. Timely and accurate recognition of plant ailments is vital to effectual disease management and keeping further spread. Plant disease classification utilizing Deep Learning (DL) has gained important attention recently because of its potential to correct and affect the detection of plant diseases. DL approaches, particularly Convolutional Neural Networks (CNNs) demonstrate that extremely effective in capturing intricate patterns and features in plant leaf images, allowing correct disease classification. In this article, a Tasmanian Devil Optimization with Deep Learning Enabled Plant Disease Recognition (TDODL-PDR) technique is proposed for effective crop management. The TDODL-PDR technique derives feature vectors utilizing the Multi-Direction and Location Distribution of Pixels in Trend Structure (MDLDPTS) descriptor. Besides, the deep Bidirectional Long Short-Term Memory (BiLSTM) approach gets exploited for the plant disease recognition. Finally, the TDO method can be executed to optimize the hyperparameters of the BiLSTM approach. The TDO method inspired by the foraging behaviour of Tasmanian Devils (TDs) effectively explores the parameter space and improves the model's performance. The experimental values stated that the TDODL-PDR model successfully distinguishes healthy plants from diseased ones and accurately classifies different disease types. The automated TDODL-PDR model offers a practical and reliable solution for early disease detection in crops, enabling farmers to take prompt actions to mitigate the spread and minimize crop losses.
Research for the Readiness of the Faculty Members towards the Authentic Learning Approach through Distance Learning
Authors: ŞAHİN KÖLEMEN Cansu
Published: October 2023

The concept of authentic learning is functioned for reality simulation in education. Under this approach, the objective is to ensure the learner to find solutions for the real-life problems instead of direct classical learning on a subject. Thus, the learning processes should include authentic activities and assessments. In authentic learning, the students are active participants whereas the teacher assumes the guide model responsibilities. The authentic learning activities may be carried out also in distance learning as well as through formal education. Accordingly, the object of this research is to establish the readiness levels of the faculty members towards authentic learning approach through the distance education process. The sample group of the research consists of the faculty members/associates who give lectures through distance education. The general survey model, as a quantitative research method, has been used in this study. The data collection tool is preferred as the Authentic Learning Readiness Scale for Teachers which has been developed by Horzum, Bektaş, Can, Üngören and Sellüm (2019). The independent samples t-test and one-way analysis of variance (ANOVA) have been conducted. The respective findings have established the authentic learning readiness levels of the faculty members; and also shown that such levels had not demonstrated a statistically significant difference according to the gender, age and faculty.
Didactic Praxeologies Employed by Mathematics Teachers in Teaching the Inverse Function
Authors: GÖK Mustafa , ERDOĞAN Abdulkadir
Published: October 2023

This study investigates the praxeologies teachers use about the inverse function in the teaching process when the curriculum is changed. A case study, one of the qualitative research methods, was used in the study. The participants of the study were three experienced mathematics teachers. The data were collected by recording the teaching process of the teachers with a video camera and a voice recorder. The praxeological analysis method of the Anthropological Theory of Didactics (ATD) was used in the data analysis. The findings of the study show that teachers use two different praxeologies in the inverse function. The first one is praxeology based on informal mapping with the effect of the dominant definition of the concept of function in the curriculum, and this praxeology was used to introduce the concept of inverse function. The other praxeology, which shows the monoid structure more clearly, emerged due to both a necessity and the necessity to exhibit an approach appropriate to the curriculum in more complex tasks and was shaped as a mixed praxeology. It was determined that teachers did not structure both praxeologies well and made sudden transitions from one praxeology to another.
Generic strategic positioning and organizational configurations in private micro-clinics
Authors: Navarro-Sanfelix Guillermo , Puig Francisco , Revuelto-Taboada Lorenzo
Published: October 2023

By linking concepts and ideas from the private health services (PHS) and Knowledge-Intensive Business Services (KIBS) literature with Porter's generic framework, this paper aims to identify the competitive positioning at a micro-clinic level in the private health services industry and to examine the perceived role of the institutions and intellectual capital associated with each one. A Qualitative Comparative Analysis (QCA) was used.The results show that organizational configurations are associated with proactivity when competing via differentiation. In contrast, cost leadership is linked to firms that compete with low tariffs and a defensivearchetype. Our work can serve as a basis to recommend specific competitive strategies for thehigh number of firms still following a stuck-in-the-middle positioning strategy.
The effect of moral hazard on the SMEs credit portfolio guaranteed by Colombia's National Guarantee Fund
Authors: Castillo José Augusto , Mora-Valencia Andrés
Published: October 2023

This article determines the effect of moral hazard on the probability of default of the credit portfolio of small and medium-sized companies guaranteed by Colombia's National Guarantee Fund. A copula methodology with two logit models with traditional and moral Hazard financial ratios was used. The results show that the probabilities of default have the same pattern, evidencing that by incorporating the ratios of moral hazard, no significant variations are shown in the results. Thus, the moral hazard categories become an important tool not only at the calculation level of individual default probability but also in a portfolio.
Pregnancy outcome of preterm caesarean delivery at two university teaching hospitals in Southern Nigeria
Authors: Alegbeleye Justina O. , John Dickson H. , Orazulike Ngozi C.
Published: October 2023

Background: Preterm birth has been associated with poor neonatal outcomes, particularly in resource-limited countries where managing extreme preterm newborns remains a herculean task. The objective was to determine the pattern, maternal and perinatal outcome of preterm caesarean sections.
Methods: A retrospective cross-sectional study of preterm caesarean deliveries between January 1, 2010, and December 31, 2019, at the obstetric units of the University of Port Harcourt Teaching Hospital and the Rivers State University Teaching Hospital, Nigeria. SPSS 25 was used to analyze data obtained from the theatre records and case notes of the patients.
Results: Most, 377 (45.92%) of the caesarean sections were performed between 35 weeks and 36 weeks and 6 days. The preterm caesarean delivery rate was 1.62%. Majority, 708 (85.92%) were done as emergencies, mostly in booked patients 452 (59.4%). Severe pre-eclampsia was the most common 265 (24.02%) indication for preterm caesarean delivery. The average hospital stay was 6.15±2.34 days, with a maternal mortality ratio of 20.6/1,000 live births. Many 771 (93.34%) of the babies were live births, with most 515 (62.35%) weighing 1.5-2.49 kg at birth. The most common neonatal complications were low birth weight 316 (21.32%) and birth asphyxia 141 (11.56%), with a perinatal mortality ratio of 66.2/1000 live births.
Conclusions: Concerted efforts should be made to minimize complications associated with preterm births, through antenatal care and early identification of women at risk.
Role of cetrorelix in the prevention and treatment of ovarian hyperstimulation syndrome: a prospective case control study
Authors: V. Mishra Vineet , Rane Priyanka H. , Aggarwal Rohina S. , Choudhary Sumesh , Chhetry Manisha , Solanki Smit B.
Published: October 2023

Background: Ovarian hyperstimulation syndrome (OHSS) has intrigued clinicians for many years because of its devastating consequences. As an iatrogenic condition resulting from elective ovarian stimulation in the quest for pregnancy, the need to completely prevent the syndrome is evident. Gonadotropin releasing hormone (GnRH) antagonist Cetrorelix has found to be effective in treatment of OHSS and some studies have found it to be helpful in prevention of this condition. Hence, we designed a hospital-based study to investigate the effect of Cetrorelix in preventing and treating OHSS in in-vitro fertilization – embryo transfer (IVF–ET) patients at risk of OHSS undergoing long and short protocol.
Methods: The study includes total 102 patients undergoing controlled ovarian stimulation COS for IVF/ICSI. All cases were stimulated using long and short protocol. Depending on whether a GnRH antagonist was given after ovum pick-up (OPU) the patients were divided in two groups: Cetrorelix (antagonist) group (n=51) and control group (n=51). The study group was treated with Cetrorelix 0.25 mg for 5 days commencing on the day of ovum pick up.
Results: Incidence of mild OHSS was significantly higher (p=0.01) whereas moderate to severe OHSS was significantly lower in the antagonist group (p<0.05). None of the patients had critical OHSS.
Conclusions: GnRH antagonist Cetrorelix administration in early luteal phase in patients undergoing long or short protocol is effective in prevention and treatment of OHSS.
An analysis of the efficacy of uterine artery embolization in obstetrical hemorrhage
Authors: Srivastava Ritika , Mehta P. K. , Indusekhar
Published: October 2023

Background: Obstetrical hemorrhage is the single most important cause of maternal morbidity and mortality. The study is conducted at a tertiary-care hospital to assess the efficacy of uterine artery embolization as a treatment for obstetrical uterine hemorrhage. It examines various aspects such as the outcome of the procedure, need of blood and blood products, need of secondary procedures post intervention and the possibility of future pregnancies.
Methods: It was a retrospective observational study conducted with sample size of 20 patients with obstetrical hemorrhage at the Department of Obstetrics and Gynecology of Bhagwan Mahaveer Jain Hospital, Bengaluru in India between January 2011 to July 2019.
Results: Records of 20 patients with obstetrical hemorrhage were assessed. The study indicates that 11 patients experienced postpartum hemorrhage (PPH), 5 postabortal bleeding & 4 bleeding due to scar ectopic. Out of 20 patients, hemodynamic stability was achieved in 17 cases (85%), hysterectomy was needed in 2 cases (10%) and 1 (5%) patient died after the procedure. Of total 20 cases, 18 (90%) required secondary procedures post-intervention like dilatation and evacuation 6 cases (33.3% of total cases), vaginal suturing and packing 10 cases (55.5% of total cases) and supportive measures like PPH and Disseminated intravascular coagulation (DIC) management in 2 cases (11.1% of total cases). Blood transfusion was given in 15 cases (75%) after the procedure. Future pregnancy was attained in 8 cases (47%) after considering the history of the patients, loss of follow-up, possibility of complications, family planning and hysterectomy performed.
Conclusions: Uterine artery embolization is a very effective method to control obstetric hemorrhage with high success and low complication rate and hysterectomy can be avoided to preserve fertility.
A study of risk factors and fetomaternal outcome in patients with antepartum haemorrhage in a tertiary care centre
Authors: Chauhan Jigisha , Gheewala Amisha , Patel Vishwa , Patel Henna , Agrawal Shreya
Published: October 2023

Background: Antepartum haemorrhage (APH) is one of the most feared complications in obstetrics, contributing to a significant amount of maternal and perinatal morbidity and mortality in our country. An antepartum haemorrhage is defined as bleeding into or from the genital tract from 24 weeks’ gestation and onwards, before the delivery of the baby. APH complicates about 2-5% of all the pregnancies with incidence of placenta previa (PP) about 0.33% to 0.55% and incidence of abruptio placenta (AP) about 0.5-1%. The maternal complications seen in patients with APH are malpresentations, premature labour, postpartum haemorrhage (PPH), sepsis, shock and retained placenta and the various foetal complications are preterm baby, low birth weight, intrauterine death, congenital malformation and birth asphyxia.
Methods: A 45 patients were included in this descriptive study and detailed history taking and clinical examination was done and the resultant maternal and neonatal outcome was noted.
Results: Incidence of APH in current study was calculated to be 0.53%. Out of the 45 patients, 28 (62.3%) were diagnosed with placenta previa and 17 (37.8%) were diagnosed with abruptio placenta.  All 45 patients underwent caesarean section. 3 patients (6.6%) underwent obstetric hysterectomy due to diagnosis of placenta accreta spectrum. 35 alive and 8 dead born foetuses were delivered. 40% of new borns were admitted in NICU.
Conclusions: Antepartum haemorrhage is a major cause of maternal and perinatal morbidity and mortality which can be prevented by early antenatal registration, regular and frequent antenatal visits, early detection and labelling of high-risk cases, and early referral to higher centre when indicated.
Efficacy of single dose of misoprostol 800μg in the first trimester termination of pregnancy: a cross sectional study
Authors: Dakpe Ronald , Basanti Namoijam , Singh Yanglem Ajitkumar , Singh L. Bimolchandra
Published: October 2023

Background: The MTP (Amendment) Act 2021 has allowed termination of pregnancy up to 24 weeks on only certain indications. Decision of two medical practitioners are required for termination beyond 20 weeks. Misoprostol is one drug used for medical termination of pregnancy. It can be used alone in single or multiple doses, or in combination with other drugs. The study was undertaken to determine the efficacy of a single dose of 800 μg of misoprostol in the first trimester pregnancy termination.
Methods: It was a cross-sectional study conducted among 124 women in the first trimester who were undergoing termination of pregnancy. After administering 800 μg of misoprostol vaginally, participants were kept under observation for 48 hours. Data were collected and analysed.
Results: Around half of the participants (56.4%) expelled the conceptus completely by 12 hours, 78.2% by 48 hours. Seven (5.6%) out of those 27 failed cases were given further doses of misoprostol, while in the remaining 20 (16.1%), surgical intervention was undertaken.
Conclusions: The efficacy of a single dose of misoprostol for 1st trimester termination of pregnancy varies widely from study to study, but, the efficacy increases with adding further doses of the same drug or addition of mifepristone. Misoprostol is a safe, cost effective, and reasonable drug for the termination of pregnancy in first trimester.
Heterotopic pregnancy in a rural area in Haiti: case report
Authors: Jean Marie Béty , Dorcélus Ludentz , Bouloute Makenzy
Published: October 2023

Heterotopic pregnancy can be defined as the coexistence of at least two pregnancies in different implantation sites. It’s a rare entity, but its diagnosis is becoming more common because of assisted reproduction techniques and ultrasound improvement techniques. The clinical symptoms are also similar to ectopic pregnancy, but a high suspicion index is needed to avoid diagnosis delay and subsequent unfavourable outcomes. This is the case of a 36-year-old female with heterotopic pregnancy who presented with shock symptoms and substantial delay in diagnosis due to socio-political crisis in Haiti at the time. Initial hemoglobin was at 6 g/dl. Transabdominal ultrasound showed an intra-uterine live fetus of 11 weeks 6 days along with a left adnexal mass and free fluid in the Douglas cul-de-sac. She was urgently transferred to the operation room where we performed a left annexectomy through laparotomy. She didn’t get blood transfusion due to shortage at the blood bank of the hospital. The patient’s post-op and pregnancy course were uneventful until the vaginal birth of her child who is alive and well today. We want to highlight the importance of optimizing healthcare access to the most vulnerable and careful adnexal evaluation. It is also important to reinforce the health system in Haiti to secure prenatal care and blood transfusion for all pregnant women.
Sarcoidosis presenting as ovarian mass with omental and peritoneal nodules with elevated CA 125 level; mimicking malignancy
Authors: Badanale Renuka
Published: October 2023

Sarcoidosis is a systemic inflammatory disease of unknown aetiology with a variety of nonspecific clinicoradiological features making diagnosis challenging. Sarcoidosis commonly involves pulmonary and lymphoreticular systems; ovarian involvement being extremely rare. We present a case of a 50-year Indian postmenopausal female, with a history of abdominal pain and distension, referred from the peripheral hospital for management of a solid complex left adnexal mass and elevated CA 125 levels. Based on ultrasonography and contrast-enhanced computed tomography, ovarian carcinoma was a differential diagnosis. Ascitic and pleural fluid cytology and ovarian fine needle aspiration cytology (FNAC) didn’t give any conclusive diagnosis. Hence surgical intervention was carried out. Histopathology revealed noncaseating granulomas in ovaries, peritoneum, and omentum. Tissue polymerase chain reaction (PCR) for tuberculous and nontuberculous mycobacteria was negative. Post-operatively serum angiotensin-converting enzyme (ACE) and calcium levels were elevated. These findings supported the diagnosis of sarcoidosis and the patient responded well to systemic steroids.
Perinatal outcome of pregnancies with previous stillbirth: a prospective case control study in tertiary care center
Authors: Lede Snehal , Parpillewar Tadas Moushmi
Published: October 2023

Background: Aim was to examine the association between stillbirth in first pregnancy and adverse perinatal outcome in second pregnancy. To determine risk factors causing recurrent stillbirth.
Methods: This study was conducted at Government Medical College, and hospital, Nagpur. It was prospective case control study with cases as patients who had stillbirth in previous pregnancy and control as patient who had live birth in previous pregnancy.
Results: There was 10 fold increased risk of recurrent stillbirth in cases compared to control. Preeclampsia was major risk factor followed by placental abruption; congenital anomaly and preterm labour were responsible for recurrent stillbirth.
Conclusions: History of stillbirth in first pregnancy is associated with adverse perinatal outcome in form of recurrent stillbirth, increased NICU admission and neonatal death. Risk reduction by elimination of risk factor, proper antenatal surveillance and close monitoring during labour helps to reduce recurrent stillbirth.
Surgical outcome after impacted mandibular third molar surgery using piezotome and conventional rotary handpiece: a comparative study
Authors: Kour Ramanpreet , Arora Srimathy S. , Grack Vikas
Published: October 2023

Background: This study was performed to compare the surgical outcome in impacted mandibular third molar surgery using piezotome and conventional rotary handpiece.
Methods: Total 40 patients were selected with similar Pederson Index for mandibular third molar surgery with either piezosurgical unit or conventional rotary handpiece. Pain, trismus, oedema and alveolar osteitis were evaluated preoperatively and then postoperatively 1st, 3rd, and 7th day.
Results: Statistical analysis showed that the average time needed to complete the osteotomy and extraction was significantly lesser for the rotary group than for the piezo group (p<0.05). The average duration of surgery was 18.16 minutes in group A, and 20.49 minutes in group B.
Conclusions: Significantly lesser pain, trismus, facial swelling, alveolar osteitis and a better perception of the quality of life by the patients after third molar extraction was found using the Piezotome.
Clinical outcomes evaluation of congenital megacolon (Hirschsprung disease) short segment type after transanal endorectal pull through at Moewardi Hospital Surakarta
Authors: Ismail Erwin A. , Suwardi  , S. A. Ida B. Budhi , Agustriani Nunik , Sungkar Amru , Tusarawardaya Setya A.
Published: October 2023

Background: Congenital megacolon occurs in 1 in 5000 live births, with an estimated 1200 cases annually in Indonesia, predominantly affecting males. Mortality and morbidity in these patients can be reduced through improved diagnosis, neonatal care, surgical techniques, and enterocolitis management. The transanal endorectal pull through (TEPT) procedure, a minimally invasive surgery, is the common definitive treatment for congenital megacolon, performed even in neonates. However, TEPT can lead to post-operative anorectal dysfunction, necessitating assessment through fecal continence evaluation. The aims of this study is to understand of the clinical outcome congenital megacolon short segment type after TEPT procedure at Moewardi Hospital, Surakarta.
Methods: The study is a cross sectional descriptive analysis in patients with congenital megacolon short segment type who have received TEPT treatment at Moewardi Hospital Surakarta from 2010 until 2022.
Results: Among the patients, 18.9% exhibited normal anorectal function, 54.1% had good continence, 24.3% had moderate continence, and 2.7% experienced incontinence. Surgery age was mostly between 1 and 12 months (64.9%), with 62.2% achieving good continence. At the 1-5-year follow-up, 48.6% had good continence. Among primarily male patients (86.1%), 43.2% had good continence. Strong correlation (Pearson Chi-square score: 0.001) confirmed the relationship between age at the time of surgery and anorectal function outcomes.
Conclusions: TEPT yielded favorable anorectal function outcomes in short-segment congenital megacolon patients, with surgery age significantly impacting these outcomes. This study supports the hypothesis that surgery age influences anorectal function outcomes after TEPT at Moewardi Hospital, Surakarta.
Pancreatic serous cystadenoma case report of conservative approach
Authors: De La Cruz Hernandez Samantha Jazmin , Silva Martinez Juan Pedro , Alvarez Yeomans Daniel , Morales Cardona Antonio , Palomares Leal Alain
Published: October 2023

There are multiples pancreatic tumors, some of them being benign some being malignant, some more frequent than others, such as pancreatic pseudocyst and serous cystic neoplasm, in this case it’s about the last one witch is the most common cystic neoplasm of the pancreas about 30%, the initial approach to this type of tumors its either  CT scan or MRI, which will show the honeycomb-like pattern, which is pathognomonic of this neoplasm, and the treatment options depend on the symptoms that produce.