bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF RICE MARKETING EFFICIENCY IN EAST OGAN KOMERING ULU TIMUR
Authors: Ramadini Khairunnisa , Winandi Ratna , Priatna Wahyu Budi
Published: December 2022

Rice is the main food commodity that affects the Indonesian people's welfare. Thus, it is more complex to replace rice with other food commodities. This large rice production requires post-production handling through a good marketing process because it can increase farmers income. This research aims to analyze the efficiency of rice marketing in East Ogan Komering Ulu Timur Regency through marketing channels, market structure, market conduct, and market performance. This research was by taking 90 respondents of rice farmers using a simple random sampling method. Furthermore, to determine the respondents' marketing agency, it used the snowball sampling method by following the path of the farmers. Based on the results of the research, there were four rice marketing channels formed, the first was farmers - Gapoktan factories - wholesalers - retailers - consumers, the second was farmers - Gapoktan factories - consumers, the third is farmers - millers - retailers - consumers, and the fourth was a farmer – miller – consumer. Hence, marketing channel 2 was the most efficient, because it has a low marketing margin value, and has a farmer's share value, and a high-cost benefit ratio.
ANALYSIS OF FERTILIZER MARKETING STRATEGY (LOB) LIQUID ORGANIC BIOFERTILIZER AT PT. INBIO TANI NUSANTARA
Authors: Kusumawati Winda , Baroh Istis , Windiana Livia
Published: December 2022

This research aims to analyze the strengths, weaknesses, opportunities, and threats of LOB fertilizer and analyze the proper marketing strategy in PT. Inbio Tani Nusantara to be able to increase sales of LOB fertilizer. This study uses the nonprobability sampling method that is Accidental Sampling for external respondents or LOB consumers with consideration if the researcher needs to know the number of the existing population. Purposive sampling method for internal respondents of the company. The method of collecting data in this study with observation methods, questionnaires, interviews, and documentation. The data types used in this study are primary data from swot analysis, IFAS analysis, and EFAS analysis. In this study there are variables of Strength, Weakness, Opportunity, and Threat. Marketing of LOB liquid biological organic fertilizers has opportunities and strengths that can be used to deal with weaknesses and threats to take decisions that are marketing strategies for LOB liquid biological organic fertilizers. The results showed that the LOB fertilizer marketing strategy is in quadrant I which means that the company has strengths and opportunities and the strategy that must be taken in this condition is an aggressive marketing policy.
INCOME DISTRIBUTION OF CORPORATE FARMING MODEL IN CENTRAL JAVA
Authors: Iskandar Muhammad Joni , Prasetyowati Rini Endang , Ningsih Dwi Haryati
Published: December 2022

Corporate farming is an agricultural model carried out with the principle of expanding the planting area by eliminating land boundaries. The aim is to improve group production and productivity. This agricultural model is also a solution to the conversion of functions and increasingly massive land fragmentation. As a result, the income obtained by farmers is limited to subsistence land. This study aimed to determine the income distribution of corporate farming model farmers in Sukoharjo Regency, Central Java. Sukoharjo Regency was chosen as the research location with consideration as a national food barn that implements corporate farming. Sampling using a census of 51 farmers. The study results show that farmers' incomes have reached a prosperous degree according to the World Bank's criteria. The distribution of farmers' income is even with a low level of income inequality.
SOCIOECONOMIC DETERMINANTS OF LIVELIHOOD DIVERSIFICATION AMONG ARABLE CROP FARMERS IN SHENDAM, PLATEAU STATE, NIGERIA
Authors: Onuwa Godfrey , Mailumo Sambo , Chizea Chizoba , Alamanjo Cosmas
Published: December 2022

Livelihood diversification is an integral component of household income. Diversification determinants were estimated. Multistage sampling was adopted, and primary data were analyzed using descriptive statistics and Logit regression. Socioeconomic factors affected livelihoods. Several diversification activities and derivable benefits are indicated. Variations in diversification decisions were attributable to the regression variables. Policy modifications and strategies that improve livelihoods are recommended.
CHOKEPOINTS IN SUSTAINING ORGANIC RICE PRODUCTION IN NORTHERN MINDANAO, PHILIPPINES
Authors: Cosrojas Karen Debbie Jabenar , Poonon Sheila C. , Suminguit Dante Q.
Published: December 2022

Organic agriculture is sustainable on the ecological aspect, but other external factors influence its sustainability. The present paper covers the different chokepoints in the sustainability of organic rice production in Northern Mindanao. A total of 380 farmers served as respondents from the five provinces of Northern Mindanao that were selected through purposive sampling. The data were gathered through FGD and personal interviews using a structured questionnaire and data was analyzed descriptively. The study identified production, technical and marketing issues in sustaining the organic rice production. The issues include changing priorities of the Department of Agriculture, unavailability of commercial organic inputs, neighbor rice farm practiced conventional rice production, no price premium received, limited market outlets for organic produce, and high cost of organic certification. The identified issues are areas to be considered for improvement in order to effect improvement and sustainability of organic rice industry in the region.
ORGANIC VEGETABLES SUPPLY CHAIN CHARACTERISTICS OF SMALL ENTERPRISES IN MALANG
Authors: Rayesa Neza Fadia
Published: December 2022

Supply chain is a valuable and strategic decision even for small enterprises. This research aimed to identify the supply chain characteristic of small enterprises in Malang. Data and information were collected through observation and in-depth interviews based on business processes in the SCOR model. The result shows that small organic farming already has a strong relationship between stakeholders. However, the research found a lack of traceability for organic input, unstable production due to some situations, and a limited served market.
Characterization of vegetation and the arbuscular mycorrhizal fungi community in soils impacted by gold mining in Colombia
Authors: Guzmán Lasso Herik Johan , Perdomo Useche Yessica L. , Mosquera Mosquera Hilda Rocío , Pérez-Moncada Urley Adrián , Varón López Maryeimy
Published: December 2022

Mining extraction has a substantial impact on soil and vegetation cover. However, little is known about its effect on the flora and microorganisms associated with these environments. Arbuscular Mycorrhizal Fungi (AMF) form associations with plants, improving their development in environments contaminated with heavy metals, among other benefits. Native plants and AMF found in the soil degraded by mining play an essential role in establishing programs dealing with recovering areas influenced by these activities. Therefore, this study aimed to characterize vegetation and AMF abundance and diversity in an area affected by gold mining in Colombia. Vegetation was evaluated in two areas, one adjacent to mining deposits with native vegetation (SI-N) and the other in an intermediate area with mining waste and initial natural plant successions (SI-SV). AMF was assessed in the SI-N and the mining waste area (SI-M). Vegetation was quantified using the RAP method, and AMF was assessed using wet sieving from direct soil samples and trap crops. Vegetation evaluations identified 605 individuals belonging to 29 families, 46 genera, and 54 species, and AMF assessment identified 11 species and five genera. Diversity was established using Hill numbers, finding that SI-N was more diverse for vegetation (Q1: 11.94) and SI-M for AMF (Q1: 3.07). Heavy metals and vegetation decreased the diversity and abundance of AMF in the SI-M. Plant species of the genera Baccharis, Agrostis, Miconia, and the AMF Glomus microcarpum were the most frequent species with potential for recovery in degraded areas.
Selección de líneas avanzadas de arroz (Oryza sp.) como alternativa para la gestión sostenible de suelos degradados por salinidad
Authors: Cobos Mera Fernando , Gómez-Pando Luz Rayda , Reyes Borja Walter Oswaldo , Ruilova Cueva María , Medina Litardo Reina Concepción , Hufana-Duran Danilda
Published: December 2022

La investigación se centra en las líneas avanzadas desarrolladas a través de cruces interespecíficos entre Oryza sativa L. ssp. japonica x Oryza rufipogon G., y la línea tipo japónica, cuya tolerancia a las sales bajo condiciones de invernadero y campo se sometieron a evaluación. En la primera fase en invernadero, se sembraron 24 líneas avanzadas de arroz F5, cinco líneas parentales y un cultivar comercial SFL-011 (control) en medio líquido con una concentración de 7,0 dS/m CE salinizado con NaCl y control con 0,2.dS/m CE de agua de riego. En la segunda fase en condiciones de campo se evaluaron líneas de arroz F6 en suelos salinos con 7.44 dS/m CE. Se midieron variables agronómicas y de rendimiento. En condiciones de invernadero se destacaron seis líneas: Puyón/JP003 P11-106716, Puyón/JP002 P8-30552, Puyón/JP003 P11-103115, Puyón/JP002 P8-294930, JP002/JP001 P × P 5P 1322 y JP001/JP003 P1 × 11P 413, con mayor tolerancia que el control en cuanto a vigor de planta, panículas por planta, granos por panícula, peso de 1000 granos y rendimiento (g/planta). En condiciones de campo, dos líneas, Puyón/JP003 P11-106716 y Puyón/JP003 P11-103115, se destacaron por tener mejores resultados agronómicos en cultivares y rendimiento. Los resultados mostraron la importancia del uso de cruces interespecíficos entre O. Sativa ssp. japonica x O. rufipogon, y la línea tipo japónica para mejorar la tolerancia a la salinidad del arroz y garantizar altos rendimientos potenciales en suelos salinizados; de ahí la importancia del cruce en términos de rendimientos agrícolas.
An End-to-End Natural Language Processing Application for Prediction of Medical Case Coding Complexity: Algorithm Development and Validation
Authors: Xu He Ayu , Maccari Bernard , Guillain Hervé , Herzen Julien , Agri Fabio , Raisaro Jean Louis
Published: December 2022

Background

Medical coding is the process that converts clinical documentation into standard medical codes. Codes are used for several key purposes in a hospital (eg, insurance reimbursement and performance analysis); therefore, their optimization is crucial. With the rapid growth of natural language processing technologies, several solutions based on artificial intelligence have been proposed to aid in medical coding by automatically suggesting relevant codes for clinical documents. However, their effectiveness is still limited to simple cases, and it is not yet clear how much value they can bring in improving coding efficiency and accuracy.

Objective

This study aimed to bring more efficiency to the coding process to improve the selection of codes by medical coders. To achieve this, we developed an innovative multimodal machine learning–based solution that, instead of predicting codes, detects the degree of coding complexity before coding is performed. The notion of coding complexity was used to better dispatch work among medical coders to eventually minimize errors and improve throughput.

Methods

To train and evaluate our approach, we collected 2060 cases rated by coders in terms of coding complexity from 1 (simplest) to 4 (most complex). We asked 2 expert coders to rate 3.01% (62/2060) of the cases as the gold standard. The agreements between experts were used as benchmarks for model evaluation. A case contains both clinical text and patient metadata from the hospital electronic health record. We extracted both text features and metadata features, then concatenated and fed them into several machine learning models. Finally, we selected 2 models. The first used cross-validated training on 1751 cases and testing on 309 cases aiming to assess the predictive power of the proposed approach and its generalizability. The second model was trained on 1998 cases and tested on the gold standard to validate the best model performance against human benchmarks.

Results

Our first model achieved a macro–F1-score of 0.51 and an accuracy of 0.59 on classifying the 4-scale complexity. The model distinguished well between the simple (combined complexity 1-2) and complex (combined complexity 3-4) cases with a macro–F1-score of 0.65 and an accuracy of 0.71. Our second model achieved 61% agreement with experts’ ratings and a macro–F1-score of 0.62 on the gold standard, whereas the 2 experts had a 66% (41/62) agreement ratio with a macro–F1-score of 0.67.

Conclusions

We propose a multimodal machine learning approach that leverages information from both clinical text and patient metadata to predict the complexity of coding a case in the precoding phase. By integrating this model into the hospital coding system, distribution of cases among coders can be done automatically with performance comparable with that of human expert coders, thus improving coding efficiency and accuracy at scale.
Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study
Authors: Ding Huitong , Mandapati Amiya , Karjadi Cody , Ang Ting Fang Alvin , Lu Sophia , Miao Xiao , Glass James , Au Rhoda , Lin Honghuang
Published: December 2022

Background

Human voice has increasingly been recognized as an effective indicator for the detection of cognitive disorders. However, the association of acoustic features with specific cognitive functions and mild cognitive impairment (MCI) has yet to be evaluated in a large community-based population.

Objective

This study aimed to investigate the association between acoustic features and neuropsychological (NP) tests across multiple cognitive domains and evaluate the added predictive power of acoustic composite scores for the classification of MCI.

Methods

This study included participants without dementia from the Framingham Heart Study, a large community-based cohort with longitudinal surveillance for incident dementia. For each participant, 65 low-level acoustic descriptors were derived from voice recordings of NP test administration. The associations between individual acoustic descriptors and 18 NP tests were assessed with linear mixed-effect models adjusted for age, sex, and education. Acoustic composite scores were then built by combining acoustic features significantly associated with NP tests. The added prediction power of acoustic composite scores for prevalent and incident MCI was also evaluated.

Results

The study included 7874 voice recordings from 4950 participants (age: mean 62, SD 14 years; 4336/7874, 55.07% women), of whom 453 were diagnosed with MCI. In all, 8 NP tests were associated with more than 15 acoustic features after adjusting for multiple testing. Additionally, 4 of the acoustic composite scores were significantly associated with prevalent MCI and 7 were associated with incident MCI. The acoustic composite scores can increase the area under the curve of the baseline model for MCI prediction from 0.712 to 0.755.

Conclusions

Multiple acoustic features are significantly associated with NP test performance and MCI, which can potentially be used as digital biomarkers for early cognitive impairment monitoring.
"The effectiveness of sports applications and vitamin B-complex on physical activity levels and body composition" (Preprint)
Authors: Ahmadi Mostafa , Gholami Mandana , Abed Natanzi Hossein
Published: December 2022

BACKGROUND

Background: Physical inactivity is associated with numerous health issues, including obesity, coronary artery disease, hypertension, stroke, osteoporosis, and depression while most people do not get adequate physical activity.

OBJECTIVE

Objective: In this regard, the effect of using smartphone applications and high doses of vitamin B complex were analysed on the level of physical activity and body composition of overweight and obese males.

METHODS

Method: An RCT with 40 young males aged 20-30 years and with the BMI of 25-35 kg.m2 randomised to four groups including Control(n=10), App(n=10), Vitamin B (n=10), and App+VitB (n=10). Two groups (Vit B and App+VitB) received vitamin B-complex on a daily basis of two tablets. Another two groups (App and App+VitB) utilized the Karafs sports application during their exercise. Control was without any interventions. All applicants followed the exercise program consisting of walking and running on the treadmill at four different speeds (4-6-7-8 Km.h-1), each speed for 5 minutes as an interval for 8 weeks.

RESULTS

Results: Results showed participants in two groups App, and App+VitB obtained significantly higher distances compared to the control. Using the sports application by App, App+VitB resulted in remarkable weight loss (p <0.05). Notably, the amount of body fat percentage, body fat mass, and Lean body mass decreased significantly in the App and App+VitB groups compared to the control group (p <0.05).

CONCLUSIONS

Conclusion: Using sports apps plays an important role in combating overweight and obesity due to its competitive and self-monitoring role. In the future, this technology should be considered for motivating physical activity.
Leading Dermatologists from 2012-2021: Analysis of 3000 Researchers on The Basis of Number of Publications, Citations, Field Weighted Citations Impact and H-Index (Preprint)
Authors: Hussain Sr Saddam
Published: December 2022

UNSTRUCTURED

In this letter we highlighted the leading dermatologists in the last ten years (from 2012-2021) in the world. The data was downloaded from Scopus. Several indicators were employed, which may help in describing the performance of world class researchers
Normal Workflow and Key Strategies for Data Cleaning Toward Real-World Data: Viewpoint (Preprint)
Authors: Guo Manping , Wang Yiming , Yang Qiaoning , Li Rui , Zhao Yang , Li Chenfei , Zhu Mingbo , Cui Yao , Jiang Xin , Sheng Song , Li Qingna , Gao Rui
Published: December 2022

UNSTRUCTURED

With the rapid development of science, technology, and engineering, large amounts of data have been generated in many fields in the past 20 years. In the process of medical research, data are constantly generated, and large amounts of real-world data form a “data disaster.” Effective data analysis and mining are based on data availability and high data quality. The premise of high data quality is the need to clean the data. Data cleaning is the process of detecting and correcting “dirty data,” which is the basis of data analysis and management. Moreover, data cleaning is a common technology for improving data quality. However, the current literature on real-world research provides little guidance on how to efficiently and ethically set up and perform data cleaning. To address this issue, we proposed a data cleaning framework for real-world research, focusing on the 3 most common types of dirty data (duplicate, missing, and outlier data), and a normal workflow for data cleaning to serve as a reference for the application of such technologies in future studies. We also provided relevant suggestions for common problems in data cleaning.
Ethical Ideas of the New Period
Authors: Fayzulloeva M. Sh. , Alimov B. H.
Published: December 2022

This article deals with the philosophical and ethical views of scientists of the new epoch, who expressed their ideas on morality and contributed to the development of the science of ethics. The task of the work is to identify, reveal and show important aspects of the ethical views of the new period of world history.
Hackfeminismo. Una mirada desde México
Authors:   CIEG-UNAM, Ramírez Muñoz Diego Alfonso
Published: December 2022

Por mucho tiempo, dentro del campo de la tecnología existió un discurso dominante que hablaba sobre la aparente falta de interés que mostraban las mujeres por lo tecnológico. Sin embargo, en estos últimos año han surgido tanto voces como espacios de trabajo y activsmo que hacen posible cuestionar y modificar los roles de género que, como mecanismos de reproducción social, mantienen la exclusión, la desvalorización y la invisibilización del quehacer científico y tecnológico de las mujeres. Este trabajo se propone, entonces, describir de manera suscinta cómo diferentes colectivas, a partir de la cultura hacker y una metodología feminista, crean nuevos conocimientos para lograr otras formas de navegación en la red. Así, el autor presenta una breve mirada al hackfeminismo en México y da pie a una reflexión sobre el porvenir del activismo académico realizado dentro del Centro de Investigaciones y Estudios de Género, con las posibilidades que presenta el acceso a herramientas tecnológicas para impulsar la construcción de futuros saberes.
Género y gordofobia
Authors:   Universidad Iberoamericana, Méndez Cota Gabriela , Cosío Barroso Izchel Adriana
Published: December 2022

En 1978 Monique Wittig afirma que las lesbianas no son mujeres y, en este ensayo, las autoras plantean que las gordas tampoco lo son. El activismo gordo se apartó de ciertos movimientos del feminismo de la segunda ola al proponer la emancipación de «la gordura», en general concebida como transtorno, de significados cómplices del orden social. Los estudios de las gorduras se afianzaron en Estados Unidos, sobre todo a partir del siglo XXI, en respuesta a la rápida expansión del discurso de «la obesidad». ¿Qué puede decirse ahora sobre el género de la gordofobia? Las autoras reflexionan sobre la condición queer del pensamiento gordo, es decir, sobre su peculiar capacidad para exhibir y desafiar la estructuración de los procesos sociales a través de una oposición jerárquica entre «masculino» y «femenino». Decir que las gordas no son mujeres significa decir que la gordura, en tanto pensamiento, pone en cuestión ese principio organizador de la vida social y rompe cualquier mandato de género.
Banana Leaf Disease Detection Using Deep Learning Approach
Authors: Gandhi Sahil , Walunjakar Sachin , Chaudhary Vedant , Joshi Parth
Published: December 2022

Abstract: India is an agriculture based country. A major part of population depend on agriculture for their income. In such a case, where agriculture is important for survival, plant diseases are a real problem and prove to be an obstacle in the way of farmers. In some cases, a majority of yield has to face damage because of late detection of diseases. This has a direct effect on the life of farmers and they have to bear a loss. To avoid these negative impacts we have developed a project for detection of diseases in banana plant. Using the technologies and techniques of machine learning and deep learning such as image processing, Convolutional Neural Networks, etc. we have implemented a machine learning model which helps in early detection of various diseases in banana plant and thus minimizes the loss of yield. The farmers will be able to detect diseases in their crop and hence carry out necessary precautionary measures to prevent further spread of diseases .
Water Demand Prediction Using Machine Learning
Authors: Patil Rohit , Alandikar Priyadarshani , Chaudhari Vaibhav , Patil Pradnya , Deshpande Prof. Swarupa
Published: December 2022

bstract: Water is of paramount importance for the existence of life on Earth. The causes of water depletion are both natural and anthropogenic. On Earth, the amount of freshwater has remained persistent over span but the population has mushroomed. Therefore, striving for freshwater intensifies day by day. Proper management and forecasting are required for better and effective water usage plans. Water demand and population forecasting are the major parameters for an Urban Water Management. Machine learning is among the best-known techniques for such forecasting. Machine learning is a data analytics technique that provides machines the potential to learn without being comprehensively programmed. Unlike the traditional methods of demand forecasting that were not suitable for historical unstructured and semi structured data, machine learning takes into account or has the capabilities for analyzing such data.
Experimental study on Behaviour of Concrete by using Silica Fume and Saw Dust in Concrete
Authors: Malhotra Sunil , Lalotra Sourabh
Published: December 2022

Abstract: The most widely used construction material on the planet is concrete. Day by day varied transformation is taking place in the type and quality of concrete being used. High performance concrete is one of the modern concretes which is able to achieve such type of properties at better extent. Concrete is the backbone of every country for its development work. The quality and type of concrete being used have undergone diverse revolution The major transformation in the concrete technology includes the enhanced strength of concrete, which increased performance of concrete and introduction of various mineral admixtures Various tests were conducted to evaluate the effect of Silica fume and Saw Dust on compressive, splitting tensile and flexural strength test. Silica fume was used as a partial replacement of cement at the percentage of 2.5%, 5%, 7.5%, 10% 12.5%, 15%, 17.5% and Saw Dust was used as replacement of sand for the percentages mentioned above. Slump flow was carried out for rheological properties and compressive strength, split tensile and flexure tests were carried out to know the mechanical properties.
Design and Analysis of Planetary Gearbox For All-Terrain Vehicle
Authors: Chavan Nilesh , Solanke Sourabh , Sute Prajwal , Samanta Tanya , Wankhade Prof. P. A.
Published: December 2022

Abstract: Planetary Gear Trains are extensively used for power transmission and are the most critical component. This report focuses on the designing and analysis of a planetary gearbox for an SAE BAJA All-Terrain Vehicle (ATV). The conventional two-stage speed reduction gearbox is bulkier and has a high volume to power ratio. A planetary gearbox gives the best balance between weight and power to be transmitted. For the design procedure standard method is utilized. Based on conventional equations gear calculations are performed and subsequently, CAD modeling for various parts is done. The analysis for each component is performed and checked for its stresses. The transmission shafts and bearings are designed using the standard force equations. In addition, the design and analysis of gearbox casing is performed and the complete assembly is checked for interferences. This report also presents the advantages and limitations of planetary gear train over other transmission systems. The comparison of planetary gear system with compound spur gear system is done on the basis of volume and weight, ease in manufacturing, assembly and disassembly and aesthetical viewpoint.
Design Water Supply Network Using Epanet Software
Authors: Veer Saurabh , Khandve Saurabh , Pawar Yash , Marale Kushal , Waghule Prof. Ashwini
Published: December 2022

Abstract: This study represents use of EPANET software in the design of water distribution network. EPANET software is a user friendly software. In order to ensure the availability of sufficient quantity of good quality of water to the various section of community in accordance with the demand, many computer tools were developed, out of all the tools available EPANET become most popular and convenient for the effective design of complex pipe networks. This paper highlights only the effective design and distribution of network of pipes using EPANET tool. The residual head at each and every node was found out by having the elevation as input and thereby the corresponding flow quantities were derived like residual head, velocity and nodal demand etc.
Data Mining Application: Rainfall Predictions
Authors: Shukla Siddhartha , Kumar Sandeep , Sharma Navdeep , Bhatia Dr. Manjot Kaur
Published: December 2022

Abstract: Data mining is method or process of extracting ( Implicit previously unknown and potentially useful) pattern or information from large amount of Data. It is used to extract relevance knowledge from raw data. Some data mining methods and algorithms or some organizations used this because to enhance their businesses and they found required result. In 1936 Alan Turing introduced this idea first time. And other name of Data Mining is Knowledge Discovery in Database (KDD), because of unknown and potentially important data stored in database. Rainfall is the prime input for wedding seasons or any occasion in India . It is designed for information about the rainfall season on occasion or by taking the previous 10 years data. This is very helpful for primary sector workers for crop planning .The Daily rainfall data for a period of 10 years is used to understand usual rainfall, deficit rainfall, Excess rainfall and Seasonal rainfall This analysis will provide useful facts for water resources planner and formula available is used to evaluate return period of monthly , seasonally and annual rainfall.
A Review Paper on Comparative Analysis on RCC Structure with Energy Dissipation Device and Composite Structure
Authors: Mishra Arunendra Kumar , Singh Dr. Raghvendra
Published: December 2022

Abstract: In recent years considerable attention has been paid to research and development of structural vibration control devices with particular emphasis on mitigation of wind and seismic response of buildings. Many vibration-control measures like passive, active, semi-active and hybrid vibration control methods have been developed. Base isolation is a passive vibration control system. The isolator partially reflects and partially absorbs input seismic energy before it gets transmitted to the superstructure. Lead rubber bearing isolators are placed between the superstructure and foundation, which reduces the horizontal stiffness of the system. It thereby increases the time period of the structure and decreases the spectral acceleration of the structure. The superstructure acts like a rigid body, thus inter storey drift is reduced. This study is concerned with the effects of various vertical irregularities on the seismic response of a structure and controls this response using base isolation. The objective of the study is to carry out response spectrum analysis. The predominant lateral loads acting upon building structures are earthquake and wind induced forces. If wind load is much greaterthan earthquake load, the lateral force resisting system required to tackle wind loading may be enough to resist the smaller earthquake load. In this situation, a seismic base isolator will not bring any benefit to the building system. Furthermore, if time period of a building without isolator is greater, incorporation of isolator will not bring much difference to the building behavior with respect to seismic load. Additionally, for buildings with lowerstructural time periods, incorporation of an isolator will greatly alter the seismic behavior
COVID-19 in kidney transplant recipients: A experience in Colombia
Authors: Duran Carlos Eduardo , Estacio Mayra , Mesa Liliana , Schweinberg Johanna , Posada Juan Guillermo , Espinosa Daniela , Manzi Eliana , Lozano Fredy , Castro Andrés
Published: December 2022

Background: Patients with kidney transplants seem to be at particularly high risk for severe COVID19 disease due to their impaired immune responses and comorbidities.
Purpose: This study aims to describe kidney transplant patients’ clinical characteristics and outcomes with SARSCOV-2 infection in a fourth-level hospital in Cali, Colombia.
Methodology: We performed an observational study of kidney transplant recipients with SARS-CoV2 infection admitted at Fundación Valle del Lili from June to December 2020. To be eligible for this study, patients have symptoms compatible, a positive RT-PCR and inpatient management. Asymptomatic patients were excluded.
Results: We enrolled a total of 50 patients. 64% were male, and the median age was 53.5 years (range 46-60). The comorbidities were 36 (70%) hypertension, 16 (32%) diabetes mellitus, 5 (10%) obesity. The most common immunosuppressive regimen was tacrolimus, mycophenolate and prednisone. The median time from symptoms onset to the positive RT-PCR was 7 days. The most common initial symptom was fever (64%), and fatigue (58%), cough (44%) and dyspnea (36%). Baseline levels of CRP was 6.43 mg/dL (3.25-11.22). The median lymphocyte count was 785 mm3/uL (550-1230). Baseline D-Dimer was 0.767 ug/ml (0.484-1153.5), ferritin median level was 1011ng/ml (670-2145). Six of the patients died (12%), 4/6 were by sepsis-related multi-organ failure and 2/6 were by ARDS.
Conclusions: Major complications such as acute kidney injury, acute respiratory distress syndrome and mortality related to COVID-19 infection observed in our study are lower than those reported in other countries.
Study on Chest Injuries Due to Blunt Object in Road Accident
Authors: M Katte Sanjeev , Rajaput Ashokkumar , Gilani Faisal N , Nisargandha Milind A , Parwe Shweta D
Published: December 2022

In India, people use local transport for travel. Since accidents prevail in these developing countries, India is not exceptional. The number of vehicle increases daily, and road accident occurs every two minutes. Chest injuries are widespread during accidental cases. This significantly contributed to the trauma during unintentional cases. Trauma generally affects young adults. Based on the above facts, the present study aims to determine the pathologies associated with chest injuries due to blunt objects in road accidents and to assess the blunt chest injuries among accident victims traveling in different road transportation modes and furthermore, to observe the injury pattern and its correlation with the victim's position during the road traffic accident. The study was carried out in the Branch of FMT, Raj Rajeswari Medical College and Hospital Bangalore. Data were collected from 100 cases of death caused by a road traffic accident that was presented for medico-legal post-mortem at the mortuary in the FMT department from December 2013 to May 2015. The study reports the maximum number (42%) of chest injuries occurred between the age group of 21-30 years, followed by 24% in the age group 31 � 40, with a maximum (62%) accidental cases in two-wheeler riders. The result showed that 48% of patients had rib fractures, 12% vertebral fractures, 10% sternum fractures, and 4% clavicle fractures during accidental cases, with haemothorax in 56% of cases. The result also showed that death was due to shock and hemorrhage in 92 patients and 6% due to coma. Specific injury prevention programs focusing on road safety should be implemented to limit and control the incidence of such injuries in light of our results.�
Spontaneous Intraperitoneal Rupture of Hydatid Cyst – A Case Report
Authors: Risha S Mymoonah , Krishnasamy Lakshmi , Subramanian Vyshnavee , Murugesan Ezhilnilavan
Published: December 2022

Spontaneous rupture of a hydatid cyst into the abdomen is one of the severe complications of echinococcal infection in endemic areas. The incidence of hydatid cyst rupture into the abdomen resulting in anaphylaxis and secondary infections, is on the rise. Rupture can be fatal if not diagnosed and managed promptly. Here we report a middle-aged man with clinical suspicion of a hydatid cyst who denied further evaluation and presented to the OPD after 6 hours with severe abdominal pain. Imaging studies revealed a ruptured hydatid cyst in the intraperitoneal cavity. Intra peritoneal rupture is a serious life-threatening complication of a hydatid cyst. Therefore, it is essential to diagnose and manage patients with hydatid cysts promptly. Expediting medical management with adherence to treatment regimen and surgical interventions if and when required at the earliest is imperative for a good prognosis.
Can Serum Replace Plasma for Glucose Estimation? – An Integrity Check
Authors: M Vasanthan , V. M Vinodhini
Published: December 2022

Glucose is the most common parameter to be estimated in a clinical laboratory. However, being highly unstable, the reported values often lead to under diagnosis of diabetes mellitus. This exerts a greater pressure on the laboratories as this reflects their quality. The aim of the study was to analyse the stability of the parameter in serum and plasma samples in a time delay of 1 hour and 2 hours in a tertiary care laboratory in South-India. The study included 125 samples of serum and plasma. Glucose was estimated by Hexokinase method. The serum and plasma samples were separated following the standard operating procedures of the laboratory. They were grouped as A and B. The samples of Group A and B were estimated for glucose concentration at 0, 1 and 2 hours and the values were noted against the time. The serum samples were stored at 2-4 degrees Celsius in between the estimations at 1 and 2 hours. The glucose concentration at 0, 1 and 2 hours were compared to each other with the help of Analysis of variance (ANOVA). The significance p of the ANOVA test performed to compare serum glucose concentrations analyzed at 0, 1 and 2 hours was found to be 1.000, with a p-value of 0.999 for the plasma sample glucose concentrations. It was evident that glucose concentration was stable with the p value closer to 1.000 in plasma samples estimated at 0, 1 and 2 hours. Plasma can be replaced with serum during the first hour without much alterations in the glucose concentration when stored at 2-4 degrees Celsius.
Hyperbaric oxygen administration mitigates the expression of kidney injury molecule-1, inflammatory cytokines, and apoptotic markers during cold ischemic time in kidney transplantation
Authors:   İzmir Democracy University, Faculty of Medicine, Department of Histology and Embryology, İzmir, Turkey, Büyük Başak , Öztopuz Özlem ,   Çanakkale Onsekiz Mart University, Faculty of Medicine, Department of Biophysics, Çanakkale, Turkey
Published: December 2022

The aim of this study was to investigate the effect of hyperbaric oxygen (HBO2) administration applied during cold ischemic time to organs removed from donors before kidney transplantation. A total of 24 rats were divided into three groups: Group 1 was the control group, Group 2 received 60 minutes of HBO2 at 2.5 atmospheres absolute, and Group 3 received 120 minutes of 2.5 ATA HBO2. The renal artery was entered with a polyethylene catheter and perfused with a standard organ preservation solution. Falcon tubes containing organs obtained from rats in Groups 2 and 3 were placed in a box supported by ice blocks. The temperature was kept constant at 4 °C and the box was placed in a pressure tank with 2.5 ATA HBO2. HBO2 was applied for 60 and 120 minutes, respectively. Organ samples were harvested at the end of 24 hours for histopathological evaluation, immunohistochemical analysis of TNF-α and IL-18, TUNEL analysis for apoptosis, and gene expression levels of kidney injury molecule-1 (KIM-1) and caspase-3. In histopathological examinations, hematoxylin and eosin staining was performed and samples were evaluated for tubular necrosis and vacuolization criteria. Group 2 and Group 3 had significant decreases compared to Group 1 in this regard. Immunohistochemical staining was performed for TNF-α, IL-18, and apoptosis levels; significant decreases were found in Groups 2 and 3. There were significant decreases in Groups 2 and 3 for KIM-1 and caspase-3 gene expression levels compared to Group 1, as well. Thus, it was demonstrated that during the cold ischemic time before kidney transplantation, HBO2 administration to organs removed from donors can reduce apoptotic cell numbers, inflammatory cytokine release, and histopathological damage to the organs as well as decreasing the expression of the KIM-1 gene, which is an indicator of kidney damage.
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI PRODUKSI USAHATANI PADI SAWAH SISTEM TABELA DAN TAPIN DI DESA TONGGOLOBIBI KECAMATAN SOJOL KABUPATEN DONGGALA
Authors: Pratama Erik , Tondi Karlina Muhsin
Published: December 2022

This study aims to determine the effect of using input production of land area, seeds, urea fertilizer,

phonska fertilizer, labor and to analyze the difference in the effect of using the Tapin and Tabela planting

methods on the production of lowland rice farming in Tonggolobibi Village, Sojol District, Donggala

Regency. Determination of respondents in this study using the stratified random sampling method, with 232

members of the rice farmer population, 117 using the Tablea system and 115 Tapin systems then taking 15

percent samples from each planting system and obtained 37 respondents. The analytical method used in this

research is the Cobb-Douglas method. The results showed that the factors of land area, seeds, urea fertilizer,

phonska fertilizer, labor and dummy variables (planting system) together (simultaneously) had a significant

effect on lowland rice production in Tonggolobibi Village, Sojol District, Donggala Regency. Meanwhile,

partially, the variables of land area, urea fertilizer and phonska fertilizer have a significant effect on rice

production, except that the variables of seed and labor have no significant effect on lowland rice production.

The dummy variable (application of the seed planting system) showed insignificantly different results on

lowland rice production in Tonggolobibi Village. This means that the use of one method of planting, both

Tabela and Tapin, has not been able to influence changes in lowland rice production
ANALISIS PEMASARAN KOPRA DI DESA LABUAN TOPOSO KECAMATAN LABUAN KABUPATEN DONGGALA
Authors: Akbar Moh , Effendy Effendy , Wirahatmi Wirahatmi
Published: December 2022

This study aims to analyze the cocoa marketing chain from Labuan Toposo Village, Labuan Subdistrict,

Donggala Regency to the hands of consumers. This research was conducted in Labuan Toposo Village,

Labuan Subdistrict, Donggala Regency from March to May 2020. Respondents were determined using

simple random sampling method (Simple Random Sampling) with 32 producers (farmers) as

respondents and the trader respondents were selected by means of the Tracing Sampling method in

order to obtain 1 trader and 1 wholesaler. marketing shows that the copra marketing channel in Labuan

Toposo Village is through two marketing channels, namely: Farmers Traders, Collectors, Factory

wholesalers (final consumers), Farmers, Factory wholesalers (final consumers). The results of channel 1

copra marketing margin analysis, namely MT = Rp. 1,500 / kg while the second channel is MT =

Rp. 1,000 / kg. The share of the price received by cocoa farmers on channel 1 is 81.3%, while in the

second channel is 87.5%. Marketing efficiency in the first channel is 9.0 %, while the efficiency value

for channel II is 7.8%, so that of the two channels, the most efficient channel is the second channel with
ANALISIS PENDAPATAN DAN KELAYAKAN INDUSTRI KERIPIK SUKUN PADA RUMAH INDUSTRI CITRA LESTARI PRODUCTION DI KOTA PALU
Authors: Kibar Kibar , Damayanti Lien
Published: December 2022

In Palu City, quite a number of industries use breadfruit as the main raw material in their

production. Based on the research results, the Citra Lestari Production Industry is one of the industries

in Palu City that produces breadfruit chips in several industries in Palu City. Agro-industry is an effort

to increase the efficiency of the agricultural sector to become a very productive activity through the

process of agricultural modernization. This study aims to, analyze the amount of costs, revenues, and

income at the Citra Lestari Production Industrial house in running the breadfruit chips business.

Knowing the feasibility of home breadfruit chips Industry Citra Lestari Production. This research will

be conducted at the Citra Lestari Production Industry house in Palu City, having its address at Jl.

Kimaja No. 9 Sub-district of West Besusu, East Palu District. The location was determined

purposively with the consideration that the Citra Lestari Production industrial house is a chipprocessing industry in the city of Palu. This research was conducted in August-September 2019.

Respondents in this study were leaders and workers of the Citra Lestari Production Industry.

Respondents were determined purposively, with the consideration that company leaders know the ins

and outs of the company, such as the company's history, production capacity, financial condition, and

so on. Thus the number of respondents consists of 1 leader and 1 worker. The data used in this study

came from primary data and secondary data. Primary data collection was carried out by means of

observation and direct interviews with the leadership and home workers of the Citra Lestari

Production Industry house using a questionnaire, and secondary data was obtained from various

literatures and several related agencies that could support this research activity. Based on the results

of the research and discussion that has been described, it can be concluded as follows. The results

showed that the production of breadfruit chips was 3,000 packs/150 grams at a price of

Rp.13,000/package, so that the total revenue to the Citra Lestari Production industry was

Rp.30,000,000/month. It is known that the fixed costs are Rp.9,408,082/month, while the total variable costs

incurred is Rp.4,299,500/month. So the total costs incurred by the Citra Lestari Production Industry

Rp.13,707,582/month with an income of Rp.30,000,000 minus the total cost of Rp.13,707,582 is

Rp.25,292,418/month. The comparison of the total amount of revenue with the total cost is known to

be Rp.39,000,000, while the total cost incurred by the Citra Lestari Production Industry house is

Rp.13,707,582, thus the R/C value of the Citra Lestari Production Industry house is 2.84.
ANALISIS PENDAPATAN USAHATANI KELAPA SAWIT DI KECAMATAN KASIMBAR KABUPATEN PARIGI MOUTONG
Authors: Firawati Firawati , Safitri Dian
Published: December 2022

This research aims to determine the income of oil palm farmers in Kasimbar District, Parigi

Moutong Regency. This research was conducted in Kasimbar District, Parigi Moutong Regency. The

location of this research was chosen intentionally (Purposive) with the consideration that Kasimbar

Subdistrict is an area where palm oil production is greater than other subdistricts in Parigi Moutong

Regency. This research was conducted from October to November 2019. The population in this study were

all oil palm farmers in Kasimbar District. Based on the initial survey, it was found that the total population

of oil palm farmers was 102 people. The sample was determined by using the simple random sampling

method (Simple Random Sampling), the number of samples taken was 31 people. The analysis used is

income analysis. The analysis showed that the average production was 77.132.23 kg of oil/ 3,19ha/year or

24.152.52/ha/ year. The selling price of local palm oil is Rp. 700.00/kg, so the average income received by

oil palm farmers is Rp. 53.992.561/3.19ha/ year or Rp. 16.906,761/ha/year. The average total cost incurred

by farmers is IDR 16.484.534/3.19 ha/year, or IDR 5.161.824/ha/year, so it is known that the average

income of oil palm farmers is IDR 37.508.024/3,19 ha/year, or Rp. 11.744.937/ ha/ year.
ANALISIS PENDAPATAN USAHATANI PADI SAWAH DESA PEWUNU KECAMATAN DOLO BARAT KABUPATEN SIGI
Authors: Mutmainnah Siti , Lamusa Arifuddin , Chansa Siti Yuliaty
Published: December 2022

The purpose of this study was to determine the income of rice farmers in Pewunu Village, Dolo Barat

District, Sigi Regency. carried out in Pewunu Village, Dolo Barat District, Sigi Regency from November

2020 to January 2021. Determination of sample farmer respondents taken as many as 32 people from the

total population of lowland rice farmers with the consideration that these 32 respondents can represent the

population of lowland rice farmers in the village Pewunu. The data used are primary data and secondary

data. The analysis used in this research is income analysis. The results of the income analysis show that the

average income received by lowland rice farming in Pewunu Village, Dolo Barat District, Sigi Regency is

Rp. 29,223,124 per season with an average income of Rp. 41,861,250 per season minus the total cost of

Rp. 12,638,126 per season.