bluuebunny/crossref_metadata_2025 huggingface dataset:
KEANEKARAGAMAN DAN KELIMPAHAN LABA-LABA (ARACHNIDA: ARANEAE) PADA PERKEBUNAN KOPI DI JAWA TIMUR
Authors: Akhyar Muhammad Musthofa Al , Rizali Akhmad
Published: May 2022

Laba-laba memiliki peranan penting dalam agroekosistem khususnya sebagai predator. Penelitian ini bertujuan untuk mempelajari keanekaragaman, kelimpahan, dan komposisi spesies laba-laba pada kondisi habitat yang berbeda di perkebunan kopi. Penelitian dilaksanakan pada bulan Desember 2020 hingga Maret 2021 di 12 perkebunan kopi yang terletak di Kabupaten Malang dan Kabupaten Pasuruan, Jawa Timur. Pengambilan sampel laba-laba dilakukan dengan metode fogging untuk strata kanopi dan perangkap pitfall untuk strata permukaan tanah. Sebagai data penunjang dilakukan pengamatan data lingkungan (meliputi suhu relatif dan kelembaban relatif) dan juga wawancara dengan pemilik lahan untuk mengetahui cara budidaya yang dilakukan (meliputi varietas kopi, penggunaan pupuk, dan aplikasi pestisida). Hasil penelitian diperoleh 11 famili, 46 morfospesies, dan 264 individu laba-laba dari keseluruhan lokasi. Hasil analisis ragam menunjukkan bahwa umur tanaman berpengaruh terhadap keanekaragaman spesies dan kelimpahan individu laba-laba kanopi. Persentase tutupan kanopi dan keanekaragaman serangga herbivora berpengaruh terhadap kelimpahan individu laba-laba permukaan tanah. Di dalam penelitian ini, komposisi spesies laba-laba tidak dipengaruhi umur tanaman kopi tapi dipengaruhi oleh aplikasi pestisida.
Sex and desire on the dancefloor: A queer post-structuralist approach on reclaiming erotic dances
Authors: Poels Nina , Plancke Carine
Published: May 2022

In this article I intend to examine the rising popularity of erotic dances as a leisure activity practiced in a feminist dance school situated in Brussels, and question what exactly it is these dancers are reclaiming when using a discourse about sexual liberation and empowerment. To address the complexity of gender, sexuality and performance, this study uses a queer post-structuralist analysis and an ethnographic methodology when studying erotic dances. Based on observations and in-depth interviews with students and instructors, this study argues that writing off erotic dance solely as a hype within the trend to commercialize sexuality, is ignoring the useful and subversive ways in which these erotic dancers are investigating the production of their sexed bodies to disrupt and deconstruct normative ideas about sexuality and gender.
Molecular diagnosis of Streptomyces genus and bioactive potential against pathogenic microbes
Authors: khaleel alhialy Shaymaa , Shawkat Thanoon Arwa
Published: May 2022

This study (40) locally isolated the genus Streptomyces from soil samples collected from different regions of Iraq ( Nineveh , Erbil , Duhok ) and evaluated their antagonistic. The isolates were found to have bioactivity against gram-positive and negative bacteria and fungus. Streptomyces were isolated on (S.G. medium), and morphological similarities and the 16 srRNA sequencing were used to characterize them. . The results of a polymerase chain reaction (PCR) with eight strands of DNA gene picked from local bacteria isolates in a volume range of (900–1000) base pairs. The nitrogenic base sequence determined the polymerase chain reaction products of DNA samples selected from 6 local isolates. These strands preserved the employed DNA ladder volume. According to DNA Blast NCBI data, the species are Streptomyces atrovirens, Streptomyces SP.S. coeuleroubidus, and Streptomyces bellus.

Keywords. Streptomyces, Molecular, Pathogenic Microbes
Isolation of different parasites from the freshwater of Euphrates River in Anbar Province, Iraq
Authors: Makawi Zainab A. , Yasin Jassim Suhad
Published: May 2022

Intestinal parasites present in freshwater from the Al- Fallujah, Al- Habbaniyah and Al-Alwarar, of the Euphrates river in Iraq are Cryptosporidium spp (25.3%), Giardia sp (3.3%), Eimeria sp (3.3%), Pinworm eggs (3.3%), Naegleria sp (15.3%), Lecane niwati (1.3%), Trichomonas hominis (19.3%), Acanthamoeba spp (24.6%), Entamoeba coli (20.6%), Balantidium coli (12%), Ascaris sp (3.3%), Volvox sp (26%), Chilomastix mesnili (4%), Pelomyxa palustris (2.6%), Trinema enchelys (2.6%), Actinophrys Sol (7.3%), Amobea Vespertilio (9.3%), Rhabditea (5.3%), paramecium bursaria (9.3%), cyst of cestode (6%), Oocyst protozoa (16%), Euglena gracilis (10.6%).were isolated. The study's goal was to isolate some of the parasites that pollute the Euphrates water in Anbar Province and their impact on the health of living species and swimmers.

Keywords. Acanthamoeba spp, Cryptosporidium, Fresh water, Giardia, Rotifer.
Classification of Twitter Vaping Discourse Using BERTweet: Comparative Deep Learning Study
Authors: Baker William , Colditz Jason B , Dobbs Page D , Mai Huy , Visweswaran Shyam , Zhan Justin , Primack Brian A
Published: May 2022

Background

Twitter provides a valuable platform for the surveillance and monitoring of public health topics; however, manually categorizing large quantities of Twitter data is labor intensive and presents barriers to identify major trends and sentiments. Additionally, while machine and deep learning approaches have been proposed with high accuracy, they require large, annotated data sets. Public pretrained deep learning classification models, such as BERTweet, produce higher-quality models while using smaller annotated training sets.

Objective

This study aims to derive and evaluate a pretrained deep learning model based on BERTweet that can identify tweets relevant to vaping, tweets (related to vaping) of commercial nature, and tweets with provape sentiment. Additionally, the performance of the BERTweet classifier will be compared against a long short-term memory (LSTM) model to show the improvements a pretrained model has over traditional deep learning approaches.

Methods

Twitter data were collected from August to October 2019 using vaping-related search terms. From this set, a random subsample of 2401 English tweets was manually annotated for relevance (vaping related or not), commercial nature (commercial or not), and sentiment (positive, negative, or neutral). Using the annotated data, 3 separate classifiers were built using BERTweet with the default parameters defined by the Simple Transformer application programming interface (API). Each model was trained for 20 iterations and evaluated with a random split of the annotated tweets, reserving 10% (n=165) of tweets for evaluations.

Results

The relevance, commercial, and sentiment classifiers achieved an area under the receiver operating characteristic curve (AUROC) of 94.5%, 99.3%, and 81.7%, respectively. Additionally, the weighted F1 scores of each were 97.6%, 99.0%, and 86.1%, respectively. We found that BERTweet outperformed the LSTM model in the classification of all categories.

Conclusions

Large, open-source deep learning classifiers, such as BERTweet, can provide researchers the ability to reliably determine if tweets are relevant to vaping; include commercial content; and include positive, negative, or neutral content about vaping with a higher accuracy than traditional natural language processing deep learning models. Such enhancement to the utilization of Twitter data can allow for faster exploration and dissemination of time-sensitive data than traditional methodologies (eg, surveys, polling research).
Developing Educational Animations on HIV Pre-exposure Prophylaxis (PrEP) for Women: Qualitative Study
Authors: Young Anna Marie , Fruhauf Timothee , Okonkwo Obianuju , Gingher Erin , Coleman Jenell
Published: May 2022

Background

Despite experiencing the second-highest rate of HIV incidence in the United States, pre-exposure prophylaxis (PrEP) use remains low among Black women due, in part, to a lack of patients’ awareness and providers’ knowledge.

Objective

Our goal was to design animated educational tools informed by patients and women’s health providers to address these barriers, specifically for women at risk for HIV.

Methods

Two animation storyboards about PrEP for women were created by academic stakeholders (eg, HIV clinical experts, educators, and HIV peer counselors), one for patients and one for providers. Four focus groups with community members from Baltimore, Maryland and four with women’s health providers (eg, obstetrician/gynecologists, midwives, nurse practitioners, and peer counselors) at an academic center were conducted to discuss the storyboards. Transcripts were analyzed using conventional content analysis, and themes were incorporated into the final versions of the animations.

Results

Academic stakeholders and 30 focus group participants (n=16 female community members and n=14 women’s health providers) described important themes regarding PrEP. The themes most commonly discussed about the patient animation were understandability of side effects, HIV risk factors, messaging, PrEP access, and use confidence. Provider animation themes were indications for PrEP, side effects, and prescribing confidence.

Conclusions

We created two PrEP animations focused on women. Stakeholder feedback highlighted the importance of ensuring the understandability and applicability of PrEP educational materials while including necessary information to facilitate use or prescribing confidence. Both community members and women’s health providers reported greater use confidence after viewing the animations.
Perioperative risk assessment of patients using the ‘MyRISK’ digital score completed before the preanesthetic consultation: a prospective, observational trial. (Preprint)
Authors: Ferré Fabrice , Laurent Rodolphe , Furelau Philippine , Doumard Emmanuel , Ferrier Anne , Bosch Laetitia , Ba Cyndie , Menut Rémi , Kurrek Matt , Geeraerts Thomas , Piau Antoine , Minville Vincent
Published: May 2022

BACKGROUND

The pandemic highlighted the potential of digital health solutions to adapt the organization of care in a crisis context.

OBJECTIVE

Our aim was to demonstrate the prognostic value of the perioperative ‘MyRISK score’ derived from data collected on a digital conversational agent (chatbot) before the preanesthetic consultation (PAC).

METHODS

Single-center, prospective, observational study. The 16 items composing the MyRISK score were selected by Delphi method. An algorithm was used to stratify low (‘green’), intermediate (‘orange’) and high (‘red’) risk patients. Postoperative complications occurring in the first 6 months (composite criterion) were numerically collected and verified by phone and consultation of the electronic medical database. A logistic regression was carried out to identify their explanatory variables. A machine learning model was trained to predict the MyRISK score using a dataset of 1823 ‘green’ and ‘red’ patients to re-classify ‘orange’ individuals. User satisfaction and usability were assessed.

RESULTS

Four hundered and one patients were included. Sixteen of the 389 patients (4.1%) analyzed for the primary endpoint experienced a postoperative complication. An ASA score ≥ 3 and a ‘red’ score were independent predictors of postoperative complications (Odds Ratios of 5.8 [CI95%: 1.7 - 20.2; p=0.006] and 5.9 [CI95%: 1.5 - 22.3; p=0.009] respectively). Once ‘orange’ patients re-classified according to the prediction of the trained model, a ‘red’ score was identified as a strong predictor of postoperative complications with an Odds Ratio of 21.8 [CI95%: 2.8 - 171.5; p=0.003]. Patient satisfaction Numeric Rating Scale and System Usability Scale were 8 [7-9]/10 and 90 [82.5-95]/100 respectively.

CONCLUSIONS

We demonstrate the good prognostic predictive value of the MyRISK digital perioperative risk score established before the PAC. Its predictive strength was increase using a machine learning model reclassifying intermediate-risk patient. This numerical categorization could be used to guide patients between teleconsultation and face-to-face PAC, or to provide a perioperative personalized care pathway for high-risk patients.
A Critical Discourse Analysis of the United States Stigmatizing China in the Outbreak of COVID-19
Authors: Lu Huang
Published: May 2022

Since the outbreak of COVID-19, China has acted quickly and taken its responsibility to take strict and effective actions, forming a line of defensing the widespread of the novel coronavirus. However, some American media and politicians stigmatized China on the ground of the virus, criticized actions that China has taken, so as to instigate people’s resistance against China. Based on critical discourse analysis theory, this paper analyzes the United States actions of stigmatizing China in the outbreak of COVID-19 from classification, transitivity, mood and transformation, aiming to discover the political ideology behind American’s stigmatization discourses, which is beneficial to safeguard the truth of China’s fighting against COVID-19 and construct China’s discourse mechanism in response to stigmatization.
The Development and Treatment of Conduct Disorder: A Hypothetical Applied Behavior Analytic Perspective
Authors: Fai Robert D
Published: May 2022

This paper discusses conduct disorder-312.8x (F91.x) as a Diagnostic and Statistical Manual of Mental Disorders (DSM-5) Axis 1 condition from an applied behavior analytic perspective. It explores the definition, development, causes, consequences, and coexisting conditions of conduct disorder. The paper also reviews a theoretical intervention treatment approach that utilizes parent management training (PMT) to support the view that if conduct disorder is diagnosed early, the child can live a “normal” life, especially with appropriate parental training and support. This intervention utilizes an applied behavior analytic perspective to provide training that targets socially unacceptable behavior, parent buy-in, and parental willingness to learn and use parent management training.
THE EFFECTIVENESS OF CITRONELLA OIL MICROEMULSION AS A REPELLENT OF AEDES AEGYPTI MOSQUITO
Authors: SUBAGIYO AGUS , WIDYANTO ARIF , KHOMSATUN  , ANANTA ITA PRAMUDIA , KURNIAWAN DHADHANG WAHYU
Published: May 2022

Objective: This study aims to test the effectiveness of Citronella oil microemulsion as a repellent for the Aedes aegypti mosquito.
Methods: The preparation of Citronella oil microemulsion was carried out through a high-speed homogenization technique. The microemulsion was formulated with a base of 100 g, consists of Citronella oil in several concentrations 5%, 10%, and 15%, emulsifier (Tween 80 and Tween 20) 10-20% by weight of citronella oil and 80-90% distilled water, made into six formulas (F). The microemulsions were then evaluated for the organoleptic, pH, and transmittance.
Results: Based on the organoleptic test showed that F1 was selected as the best formula, a microemulsion with an active ingredient of Citronella oil in a concentration of 5% and an emulsifier 10%. The average pH was 5.35 according to normal skin pH (4-6.5) and the average size of the microemulsion is 2.42±0.09 µm and the PdI (polydispersity index) is 0.68±0.1. The protection power of F1 repellent was 90%, this result showed a significant difference (p-value of 0.005) as compared to Citronella oil without modification (70%), significantly different (p-value 0.001) with Tween 80–Tween 20 (10%) and not significantly different (p-value 0.145) with chemical repellent Product X (97%).
Conclusion: Based on the result, it was concluded that the protective power of Citronella oil Microemulsion F1 was almost like chemical repellent Product X.
DESIGN AND DEVELOPMENT OF A PHARMACOGENOMIC MODEL FOR BREAST CANCER TO STUDY THE VARIATION IN DRUG ACTION AND SIDE EFFECTS
Authors: A. M. HIMA VYSHNAVI , NAMBOORI P. K. KRISHNAN
Published: May 2022

Objective: The proneness of disease, as well as drug action and side effects, vary from person to person. This may be due to individual variations in the genome. The individual variation demands the need to design a population-specific 'predictive, preventive, participatory and personalized (p4)' pharmacogenomics drug molecule. The present work aims at designing a pharmacogenomic model for breast cancer to explain the individual variation in the proneness of the diseases and susceptibility towards drug action.
Methods: The drug action and side effects of drugs were analyzed from clinical trial reports. The genes responsible for the drug action and the genes responsible for side effects have been identified and included in the variation analysis. The pharmacogenomic gene models have been designed by inducing population-specific genetic variations within the gene sequence. The 3D structures of the 'variation-specific' protein models have been generated by 'homology modelling.' These models have been used further for docking studies with the known drug molecules. The kinetic stability of the protein-ligand complexes obtained out of docking studies has been studied by the molecular dynamic simulation.
Results: By the interaction studies and the computational analysis using the 'population-specific protein models,' the drug molecule, Capecitabine showed the highest binding affinity (–6.30kcal/mol) with the African population, Paclitaxel was found to be the most interacting with the European population with a binding affinity of–9.5603 kcal/mol, and Lapatinib is found to be the most suitable ligand for the American population with a binding affinity of–6.90 kcal/mol. These observations agree with the clinical trial data found in the 'ClinTrial database'.
Conclusion: The designed models are found to be suitable for representing the respective population-specific target models. The interaction studies of known drug molecules with these population-specific target models correspond to the observations in the 'ClinTrial database.'
Ayurvedacharya App
Authors: Zade Aastha , Chaudhari Gauri , Raghvani Khyati , Bodke Sakshi , Shinde Prof. G. R.
Published: May 2022

Abstract: Ayurveda or Ayurvedic Medicine is a system of traditional medicine native to Indians and is a form of alternative medicine. Ayurveda makes the use of plants based medicine and treatments. Ayurvedic therapy is taken by controlling food habits, taking necessary foods for curing the disease and controlling daily life style. Ayurvedic Remedies are now widely accepted throughout the world. Most of the ingredients of any Ayurvedic Cures can be found at home easily. So, cures are not very costly and can be done easily. These cures have minimum possibilities of side effects except in some cases of allergies. So, it can be considered safe medicines. Our app provides you with some easy cures of most common diseases in real life. One can save money by curing himself using this app. Keywords: Ayurvedic, medicine, home remedies, treatment and cure.
Design of Wi-Fi Based Scrolling Digital Display with Voice Command Support by Google Assistant
Authors: Venkatesh M. , Srinivas Jana Sandilya , Chavan Shavani Prakash
Published: May 2022

Abstract: The purpose of create this paperwork is that it represents the overall design of “Scrolling Digial Display” which has a capability to control the display over mobile phone using voice command. It also included various software like Adafruit MQTT and IFTTT and a platform for voice command we have to use Google assistant. If someone want to display message using Arduino, they can easily send by using this project. This paper deals with wireless board or a LED dot matrix display using any android phone using Wi-Fi module (Wireless fidelity basically it transfers message without using wire network or bulk machines. Schools, colleges, hospitals, traffic signal, Hotels, Railway station, Airport and various other places there is use of scrolling display to display the message at the receiver end and this tool kit can be programmed according to our need. Keywords: Adafruit, MQTT, IFTTT, LED dot matrix, Scrolling display, Wi-Fi module, VPA (Voice personal assistant).
IoT: A Boon for Advancement of Technology
Authors: Nawalagatti Amitvikram
Published: May 2022

Abstract: Internet of Things (IoT) is a new model that has turned the traditional lifestyle into a high-tech lifestyle. Smart city, smart home, pollution control, energy saving, smart transportation, smart industry are such transformations due to IoT. A large number of important studies and surveys have been carried out to improve technology through IoT. However, there are still many challenges and problems that need to be addressed by the to reach the full potential of IoT. These challenges and issues need to be considered from different aspects of IoT such as application, challenge, enabling technology, social and environmental impact, etc. The main purpose of this review article is to provide a detailed discussion from both a technological and social perspective. Article discusses various key IoT challenges and issues, architecture, and key application areas. In addition, the paper highlights the existing literature and illustrates their contribution in different aspects of IoT. In addition, the importance of big data and its analysis in relation to IoT was discussed. This article will help readers and researchers understand IoT and its real-world applicability. Keywords: Internet of Things (IoT), IoT architecture, IoT challenges, IoT applications
A Robust Business Specific Real-Time Sign Language Translator
Authors: Khan Waiz
Published: May 2022

Abstract: Communication is a great way of expressing yourself but not everyone is capable of communication. No, not everyone chooses to be silent, While some are born deaf and mute, others become one later in life due to certain conditions. The word “dumb” is quite offensive so I will address to someone who cannot speak as mute person throughout this paper. Returning to the topic this paper will enable a more effective way to fill the communication gap between deaf and mute person and normal person especially in places with crowd where special-abled person becomes nervous and anxious to make the business owner understand of his needs easily and are unable to express themselves. In order to remove this barrier and enable the effective communication between the special-abled buyer and the business owner, I have created our own data set of hand gestures and trained using Google Teachable Machine for common sentences that are exchanged between the buyer and seller. Keywords: Sign Language Translation, AI, Special-Abled Communication, Google Teachable Machine Model, OpenCV, Computer Vision, Machine Learning, Deep Learning.
Experimental Investigation of Soil Stabilization by Using Alum Sludge
Authors: Jadhav Prasad , Sakpal Shital , Khedekar Harsal , Pawar Pramila , Malipatil Mithunkumar
Published: May 2022

Abstract: The soil stabilization is essential requirement before road infrastructure development is carried out. No. of binding materials are used worldwide as a soil stabilizer. In this project waste material [i.e Alum Sludge] was used as soil stabilizer. Alum sludge can solve the problem of waste management at large scale as well as work as low cost soil stabilizer. Use of alum sludge can be a sustainable solution and environmental friendly. The alum sludge was applied as a binding material similar as a cement and lime. To stabilize the soil with the addition of 5%,10%,15%, 20%, and 25% etc. To investigate the resulting improvement in soil strength by using California Bearing Ratio [CBR] particle size analysis atterberg’s limit test and modified proctor test with addition of 5%, 10%, 15%,20%, 25%. of alum sludge to soil sample after inspection of result. From the experimental result i.e. CBR , at 15% alum sludge replacement shows greater strength. Keywords: Alum, sludge, soil, stabilization, Testing
Implementation Paper on Covid 19: Data Mining Approach for Diagnosis and Treatment
Authors: Yadav Miss. Priya , Tuteja Dr. R. R.
Published: May 2022

Abstract: The outbreak of Severe Acute Respiratory Syndrome Coronavirus 31 2 (SARS-COV-2) has caused more than 2.5 million cases of Corona Virus Disease 32 (COVID-19) in the world so far, with that number continuing to grow. To control the 33 spread of the disease, screening large numbers of suspected cases for appropriate 34 quarantine and treatment is a priority. Pathogenic laboratory testing is the gold 35 standard but is time-consuming with significant false negative results. Therefore, 36 alternative diagnostic methods are urgently needed to combat the disease. Based 37 on COVID-19 radio graphical changes in CT images, we hypothesized that Artificial 38 Intelligence’s deep learning methods might be able to extract COVID-19’s specific 39 graphical features and provide a clinical diagnosis ahead of the pathogenic test, thus 40 saving critical time for disease control Keywords: COVID-19, Computed Tomography, Artificial Intelligence, Deep Learning, Diagnosis
Analytical Study of TDS and Sulphate Concentration in Ground Water: A Case Study of Vatva Region of Ahmedabad District, Gujarat
Authors: Gajjar Harshivkumar , Joshipura Neha
Published: May 2022

Abstract: The most valuable natural resource for human life is groundwater. It is certainly required in all parts of life and wellbeing for energy generation, food production, industrial activities, maintenance of the environment and enhances sustainable development for future generations. Fresh groundwater has become a popular subject in recent years. Water is continuously contaminated in all nations. India is no special case to this marvel. In India, over 80% of the rural population depend on groundwater. People face a barrier in getting safe, portable drinking water since groundwater quality is impacted by public activity and utilities. The frequent monitoring of sources of groundwater and its quality helps to create and develop public awareness of groundwater resources. The area having high contamination of ground water is selected named as Vatva located in Ahmedabad district of Gujarat, due to urbanization and the presence of many chemical refineries and pharmaceutical firms in the vicinity. During the investigation, the most impacted pollutants, such as TDS, Nitrate, Chloride and Sulphate were valuated. QGIS is used to do a spatial distribution study of all of these parameters. Ground water quality index graphs are also generated using the IS 10500: 2012 drinking water quality standard as a reference. Keywords: Ground Water Contamination, Spatial Distribution, QGIS, TDS, Nitrate, Chloride, Sulphate
Approaching the theoretical limit in quantum gate decomposition
Authors: Rakyta Péter , Zimborás Zoltán
Published: May 2022

In this work we propose a novel numerical approach to decompose general quantum programs in terms of single- and two-qubit quantum gates with aCNOTgate count very close to the current theoretical lower bounds. In particular, it turns out that15and63CNOTgates are sufficient to decompose a general3- and4-qubit unitary, respectively, with high numerical accuracy. Our approach is based on a sequential optimization of parameters related to the single-qubit rotation gates involved in a pre-designed quantum circuit used for the decomposition. In addition, the algorithm can be adopted to sparse inter-qubit connectivity architectures provided by current mid-scale quantum computers, needing only a few additionalCNOTgates to be implemented in the resulting quantum circuits.
Extracción y caracterización de componentes terpenoidales de la resina de Vismia macrophylla Kunth
Authors: Jara Herrera Cleto , León Vargas Frank , Bardales Grández Kosseth Marianella , García Pérez Víctor , Moreno Eustaquio Walter
Published: May 2022

Vismia macrophylla Kunth es una planta amazónica, que contiene una resina coloreada propia de la familia Hypericaceae secularmente utilizado por los nativos amazónicos para tratamiento de hongos. El objetivo de este trabajo fue aislar y caracterizar los terpenoides de Vismia macrophylla. La muestra fue recolectada en el caserío de Nina Rumi, cuenca media del rio Nanay, en la Amazonía peruana. La extracción de sus componentes terpenoidales se realizó usando como fluido supercríticoel CO2 y su caracterización mediante cromatografía de gases acoplado a un espectrómetro de masas. Se obtuvieron trece componentes, siendo los más importantes por su abundancia porcentual el terpen-4-ol (36,08 %), α-terpineol (21,46 %), α-eudesmol (16,89 %), α-copaeno (8,89 %) y alcanfor (3,99%). La identificación de estos compuestos terpenoidales servirá para posteriormente relacionarlos a alguna actividad biológica.
Consumo, microbiología y bromatología de la carne silvestre durante la COVID-19 en Iquitos, Perú
Authors: Pérez-Peña Pedro Eleodoro , Riveros-Montalván María Soledad , Vargas-Arana Gabriel , Díaz Soria Fabiola , Vásquez Chumbe Jessy , Beraún Baca Yuri
Published: May 2022

En Iquitos (Perú), la carne de Cuniculus paca, Pecari tajacu, Tayassu pecari y Chelonoidis denticulatus se consumen en gran cantidad, sin embargo, no hay un análisis bromatológico completo ni estudios actualizados de la carga bacteriana y presencia de coronavirus. Nuestro objetivo fue conocer el consumo y el estado microbiológico y bromatológico de la carne silvestre durante la pandemia de la COVID-19. Se realizaron entrevistas virtuales a 213 personas entre mayo y junio de 2020 en Iquitos; por cada especie se utilizaron cuatro muestras de carne de 500 g para el análisis bacteriológico y bromatológico, y una muestra de 500 g por especie para la búsqueda de coronavirus provenientes de los mercados Belén y Modelo. Encontramos que la carne silvestre representa el 4 % de fuente proteica, su consumo es independiente a factores educativos y económicos, a la mayoría les gusta esta carne y creen que su consumo no contagia de coronavirus. Esta carne no tuvo coronavirus y presentó menos carga bacteriana que otros productos de mayor consumo en los mercados estudiados. Asimismo, tuvo bajo contenido graso, baja proporción de fósforo/proteína, alto contenido de riboflavina y calcio. Es decir, esta carne durante la pandemia fue saludable y nutritiva.
Primer registro de la moniliasis (Moniliophthora roreri Evans et al.) del Theobroma cacao en la región de la triple frontera, Loreto, Perú
Authors: Delgado Cesar
Published: May 2022

La moniliasis, es una de las principales enfermedades que ataca al cultivo del Theobroma cacao L., por lo que genera un efecto socioeconómico muy importante en la industria del cacao. En diciembre del 2021 fueron muestreados 11 parcelas de cacao en las comunidades de Cushillococha y San Pedro de Palo Seco, en la provincia Mariscal Ramón Castilla (Loreto, Perú), con el objetivo de monitorear la presencia del hongo Moniliophthora roreri Evans et al. en las plantaciones de cacao. La moniliaisis fue encontrada en las dos comunidades, en la estación de mayor precipitación en la región. En el momento del muestreo las parcelas estaban abandonadas o con manejo inadecuado. Se reporta por primera vez a la moniliasis del cacao para el departamento de Loreto, y se recomienda algunas medidas para limitar el desarrollo de la enfermedad y la expansión a otras áreas.
Analisis Performa Algoritma Random Forest dan Naive Bayes Multinomial pada Dataset Ulasan Obat dan Ulasan Film
Authors: Awangga Rolly Maulana , Khonsa' Nuha Hanifatul
Published: May 2022

Kemudahan akses informasi memberikan peluang pertukaran informasi antar individu maupun kelompok. Kemudahan akses tersebut memberikan dampak dengan munculnya banyak opini terhadap suatu produk atau topik terhangat. Data opini ulasan dapat diolah menjadi data informasi baru yang memiliki nilai lebih bagi perusahaan maupun pemanfaat data. Pengolahan data ulasan dapat dilakukan dengan menggunakan machine learning dengan algoritma klasifikasi untuk mendapatkan analisis sentimen terhadap produk tertentu. Dataset yang digunakan pada penelitian ini adalah datasetulasan obat dan ulasan film  untuk melakukan analisis sentimen dengan mengulas performansi algoritma Random Forestdengan menggunakan beberapa pohon keputusan yang sama yang disatukandan Naïve Bayes Multinomialmenggunakan perhitungan probabilitas pada tingkat akurasi dan waktu latih data. Dalam preprocessing untuk pengolahan data dan penyesuaian tipe data pada metode yang akan digunakan dengan menggunakan CountVectorizer untuk mengubah token kata menjadi vektor dan mengubah data fitur menjadi tipe array. Pembagian data latih dan uji dengan rasio 75:25. Dengan hasil akurasi data terbaik 0,57% dengan menggunakan algoritma Naïve Bayes Multinomial pada data ulasan film. dan latih waktu terlama pada algoritma Random Forestsehingga disarankan untuk dapat menggunakan Term Frequency-Inverse Document Frequency (TF-IDF)sebagai term pembobotan kata untuk mendapatkan hasil akurasi yang lebih baik pada penelitian selanjutnya.
Efecto de las aves, las altas y bajas temperaturas sobre la germinación y viabilidad de las semillas de Rubus ulmifolius (Rosaceae)
Authors: Dellafiore Claudia , Sainz Maximiliano
Published: May 2022

RESUMEN. Introducción: Las especies invasoras está causando grandes modificaciones a nivel mundial afectando tanto a los desiertos como a las selvas tropicales. En la provincia de Córdoba, Argentina, la distribución y abundancia de zarzamora (Rubus ulmifolius) se ha visto seriamente incrementada en los últimos tiempos tanto en ambientes naturales como rurales. La aparición de dichas plantas en áreas aisladas ha sido atribuida a las aves las cuales han sido mencionadas como una de las principales responsables de su dispersión; sin embargo, no existen estudios referidos al consumo de zarzamora por parte de las mismas. Por otro lado, los incendios forestales y la proliferación de especies invasoras exóticas pueden interactuar positivamente entre ellos incrementando el impacto de dichas especies sobre ecosistemas invadidos. Objetivos: a) conocer si las aves dispersan las semillas de zarzamora, b) conocer si las aves afectan la germinación de dichas semillas y c) conocer el efecto de las altas y bajas temperaturas sobre la germinación y viabilidad de las mismas. Resultados: en total se extrajeron 80 semillas de zarzamora de las fecas de las aves las cuales no presentaron ningún tipo de daño físico. Dichas semillas no germinaron al cabo de 20 meses pero permanecieron viables. Se observaron diferencias significativas en la viabilidad de las semillas de los frutos y las sometidas a tratamientos de altas y bajas temperaturas (H: 21,50, p=0.0054). Los mayores efectos fueron observados para las temperaturas extremas tanto de frío como de calor. Conclusión: las semillas de zarzamora poseen un bajo poder germinativo ya que no germinaron bajo ningún tratamiento al cabo de 20 meses en condiciones favorables de luz, temperatura y humedad. Las aves realizan una dispersión “legítima” de las semillas de zarzamora las cuales son, además, altamente resistentes a las altas y bajas temperaturas, aunque los fuegos superficiales podrían destruir dichas semillas
The impact of tax changes on the liquidity of construction companies in the developing market
Authors: Hashani Medain , Bajrami Roberta , Ukshini Kosovare
Published: May 2022

Studies to date show that taxes have a very high impact on company liquidity (Law & Yuen, 2019; Drogalas, Lazos, Koutoupis, & Pazarskis, 2019). The International Monetary Fund (IMF, 2022) shows the need to release tax procedures and their monitoring in the Republic of Kosovo. Kosovo law is such that it disables the timely liquidity of construction companies which has an impact on the reduction of construction companies’ projects. The main purpose of this paper is to describe the effects of changing the tax laws, namely the law on corporate income tax, personal income, and value-added tax (VAT) on the liquidity of construction companies in Kosovo. For this paper, we employ survey data collected from accountants and financial managers who through the questionnaire have reflected on the need to change the law on personal income, corporate income, and VAT. The models for measuring latent variables are structural equation models 1 and 2 (SEM1 and SEM2) and the ordinary least squares (OLS) models. The empirical results of the SEM1 and first OLS model (OLS1) reveal that the current law on corporate income tax and the law on personal income tax have negative effects on the liquidity of construction companies in the Republic of Kosovo and the empirical results from the SEM2 and second OLS model (OLS2) show that the current law on value-added tax has significant negative effects on the liquidity of construction companies in the Republic of Kosovo.
DESIGN AND CONTROL OF A MOBILE STEWARD PLATFORM WITH FOUR INDEPENDENT WHEELS
Authors: AKKAYA Ergun Eray , ÖZER Muhammet , ŞENTÜRK Kenan , ÖZTÜRK Volkan , ALKAN Ümit
Published: May 2022

For today’s automated vehicles and robots’ technologies in driving dynamics, the elasticity in movements has a critical role. These movements can be simulated by using some platforms which are staying on balance. It is possible to perform a few linear and angular movements according to the platform model. The purpose of this study is to provide an independent drive and keep the carrier shaft on balance while the vehicle is on the move. The steering system on the vehicle has been specialized and a balancing platform on the vehicle has been achieved to keep the balance. The vehicle in this study has four wheels and they; all have been independently designed and controlled for the requested rotation. Ackermann Steering Geometry has been used for calculations of wheel angles. In this study, the Stewart platform which has a 3x3 connection model and parallel structure has been designed. It is possible to make different linear and angular moves with this model of the platform. The steering system and platform designs have been mounted as one unit of the structure by assembling. The system can be operated manually and automatically. A mobile application has been also developed to monitor the status of the system. After all, using MATLAB simulation, its made phase space limit control of the orientations of the platform's center point relative to the x, y, and z axes has been studied.
Periodic solutions of a singular Minkowski-curvature equation
Authors: Liang Zaitao , Li Shengjun
Published: May 2022

In this paper, we study the existence of positive periodic solutions of
a singular Minkowski-curvature equation. The proof is based on the
Mawhin’s continuation theorem. Moreover, an example and the
corresponding numerical simulations are given to illustrate our
theoretical analysis. Some results in the literature are generalized and
improved.
Splenectomy as an effective treatment for macrothrombocytopenia in Takenouchi-Kosaki syndrome
Authors: Yamano Shio , Iguchi Akihiro , Ishikawa Kotaro , Sakamoto Atsushi , Uchiyama Toru , Yanagi Kumiko , Kaname Tadashi , Kunishima Shinji , Ishiguro Akira
Published: May 2022

Takenouchi-Kosaki syndrome (TKS) exhibits clinical features represented
by macrothrombocytopenia, developmental delay, dysmorphic facial
features, and deafness. There is little information on the treatment for
macrothrombocytopenia in TKS. Splenectomy has been a contraindication
for inherited thrombocytopenia. In the case of autoimmune haemolytic
anaemia (AIHA) with TKS that we previously reported, AIHA initially
resolved with prednisolone; however, it gradually became resistant to
drug therapy. We performed splenectomy, and post-operatively, both
anaemia and macrothrombocytopenia improved. This is a novel effect of
splenectomy for thrombocytopenia in TKS, which suggests that splenectomy
could be a treatment option for thrombocytopenia in TKS.
Transverse Myelitis in a patient with infertility
Authors: Khabbazi Alireza , Ghadakchi Leyla , Yazdani Yalda , Habibzade Elham , Khalaji Amirreza , Mehrtabar Saba
Published: May 2022

Systemic lupus erythematosus (SLE; lupus) is an autoimmune disease. The
common neurological manifestations are psychosis, cognitive dysfunction,
and headache. Transverse myelitis (TM) may be the first manifestation of
lupus. We describe one such case in which TM was the only presentation
of SLE.
Participação dos alunos com necessidades educativas especiais no Ideb
Authors: Silva Fernando da Rocha , Assis Renata Machado de
Published: May 2022

Este estudo analisou como acontece a participação de alunos com necessidades educativas especiais (NEE), incluídos na rede municipal de ensino (Jataí, Goiás), nas avaliações que compõem o Ideb. Investigou-se um procedimento de avaliação educacional que tem ganhado espaço no sistema educacional brasileiro: as avaliações externas. Desenvolveu-se pesquisa bibliográfica, documental e de campo. Selecionou-se seis escolas, e aplicou-se questionário e entrevista. Os resultados encontrados revelaram que: a maioria das respondentes compreende a avaliação como positiva para a melhoria da qualidade da educação; a participação dos alunos com NEE na avaliação que compõe o Ideb é efetiva, mas não há diferenciação das avaliações para os que têm NEE; o tempo adicional para a realização da prova escrita, previsto na legislação, raramente é utilizado; e as escolas preparam esses alunos para fazerem a Prova Brasil, mas sem perder o foco nos conteúdos específicos da avaliação governamental, o que não garante o êxito final.
FMUPorto - Summaries and comments
Authors:   Centro Hospitalar Tondela-Viseu, Almeida (1) Inês , Evangelista (1) Rafaela ,   Centro Hospitalar Tondela-Viseu, Azevedo Patrícia ,   USF Hygeia, ACeS Tâmega III, Antoninho Rafaela ,   USF Nova Via, ACeS Espinho/Gaia
Published: May 2022

(1) Does Prevention Pay off? Economic aspects of sports injury prevention: a systematic review (2) Isometric exercise versus high intensity interval training for the management of blood pressure: a systematic review and meta-analysis
SPMD - O Congresso Nacional
Authors:   Sociedade Portuguesa de Medicina Desportiva, Lisboa, Rebelo Marques Alexandre
Published: May 2022

A Sociedade Portuguesa de Medicina Desportiva é uma sociedade científica com a missão de contribuir para o aperfeiçoamento dos conhecimentos médicos, teóricos e práticos, aplicados ao indivíduo praticante de atividade física ou desportiva, nos âmbitos coletivos e social. Nesse sentido, e como não poderia deixar de ser, este ano realizar-se-á o Congresso Nacional, o qual irá acontecer nos dias 10 a 12 de Novembro, em Leiria
Pelatihan Ekonomi Kreatif Dan Edukasi Hukum Pada Masyarakat Desa Way Tuba
Authors: Kiswandono Agung Abadi , Sumiharni Sumiharni , Siswanto Heni , Kusuma Wardani Yulia , Munaris Munaris
Published: May 2022

Masyarakat Desa Way Tuba, Gunung Labuhan, Way Kanan memiliki potensi dan peluang bisnis yang sangat strategis karena desa tersebut berdekatan dengan pusat bisnis, yaitu Pasar Bukit Kemuning dan Pasar Baradatu. Kelompok Usaha Bersama (KUB) Desa Way Tuba yang dibentuk oleh Pemerintah Desa Way Tuba bersama Mahasiswa KKN Unila Periode I Tahun 2019 melihat peluang ini untuk mengembangkan ekonomi kreatif berbasis home industry. Tujuan kegiatan pengabdian kepada masyarakat ini adalah, selain pendampingan pembuatan sabun cair cuci piring, juga pelatihan dan praktik, penyuluhan merk, labeling, dan edukasi hukum. Hasil evaluasi kegiatan menunjukkan bahwa pemahaman kelompok mitra tentang kewirausahaan sabun cair meningkat sebesar 73,95% (22,08% menjadi 84,75%). Pemahaman tersebut meliputi pemahaman tentang pembuatan, edukasi kesehatan, aspek hukum, dan labeling. Selain itu, kelompok mitra juga telah mampu membuat produk sabun cuci piring dan pengemasannya.
Pelatihan Pembuatan Video Profil Usaha Kecil Menengah di Pekon Wonodadi Induk, Kecamatan Gadingrejo, Kabupaten Pringsewu
Authors: Syarif Admi , Heningtyas Yunda , Aristoteles Aristoteles , Shofiana Dewi Asiah
Published: May 2022

Video profil menjadi media yang semakin banyak digunakan dalam menyampaikan informasi terkait suatu organisasi, produk, ataupun jasa, terutama di era digitalisasi seperti saat ini. Penggunaan video profil di bidang usaha industri dikenal sebagai salah satu teknik mempromosikan produk secara singkat dan efisien, serta mampu menjangkau kalangan yang lebih luas. Pekon Wonodadi merupakan desa binaan yang memiliki banyak usaha kecil dan menengah yang dibangun oleh masyarakat. Sayangnya, penjualan dan teknik promosi yang dilakukan oleh pelaku usaha Pekon Wonodadi masih secara konvensional dan terbatas. Kegiatan pengabdian kepada masyarakat ini memberikan pelatihan kepada masyarakat di salah satu desa binaan Universitas Lampung, yaitu Pekon Wonodadi, terkait pembuatan video profil usaha kecil dan menengah menggunakan Filmora 9. Kegiatan pelatihan yang dilaksanakan dalam kurun waktu 6 bulan telah berhasil meningkatkan pengetahuan pelaku usaha Pekon Wonodadi serta membantu mereka untuk dapat memperluas promosi produknya dengan pengembangan video yang dapat diunggah di media sosial maupun situs lainnya.
Teknologi Pakan Ternak Silase Dari Limbah Pelepah Daun Kelapa Sawit Di Desa Perkebunan Amal Tani
Authors: Dalimunthe Makharany , Purnama Dirga , Jasmidi Jasmidi , Amdayani Susilawati , Annazilli Haqqi , Sihombing Junifa Layla
Published: May 2022

Kegiatan PKM dilatarbelakangi oleh usaha ternak kambing yang mengalami kekurangan pakan hijauan dan kesulitan peternak untuk meningkatkan produksinya. Hal ini berdampak pada produksi dan reproduksi ternak kambing yang rendah. Sementara itu, perkebunan Amal Tani menghasilkan limbah berupa pelepah daun kelapa sawit. Limbah ini cukup berlimpah sepanjang tahun dan belum dimanfaatkan secara optimal. Potensi ini dapat digunakan untuk mengembangkan pakan komplit dengan memanfaatkan pelepah sebagai sumber serat sehingga dapat menjadi pakan alternatif pengganti pakan hijauan. Metode pelaksanaan PKM ini adalah menjalin kerjasama Tim Pelaksana dan LPM UNIMED, penyuluhan dan pelatihan kepada kelompok mitra. Dalam kegiatan ini Tim pelaksana telah mensosialisasikan tentang program Pengabdian, tujuan kegiatan, target dan luaran yang akan dicapai, dan untuk meningkatkan pengetahuan masyarakat mitra telah dijelaskan tentang pemanfaatan limbah pelepah sawit menjadi pakan ternak kambing/sapi. Melalui teknologi pakan ternak silase dari limbah pelepah daun kelapa sawit di Desa Perkebunan Amal Tani diharapkan masyarakat tidak lagi tergantung pada pakan hijauan alami dalam pemenuhan konsumsi pakan ternak.
Penguatan Sumber Daya Manusia Melalui Peningkatan Keterampilan Pada Komunitas ODAPUS Lampung
Authors: Ahluwalia Larasati , Permatasari Berlintina , Husna Nurul , Novita Dian
Published: May 2022

Persaingan usaha sejenis diatasi dengan menerapkan berbagai strategi untuk mempertahankan kelangsungan usahanya. Berbagai persoalan dihadapi pelaku usaha diantaranya adalah belum memaksimalkan penggunaan media sosial dan e-commerce untuk pemasaran usaha, belum memaksimalkan perencanaan keuangan pribadi dan penggunaan instrumen investasi. Untuk membantu menyelesaikan permasalahan mitra, tim PKM mengadakan analisis kebutuhan organisasi terlebih dahulu untuk memberikan pelatihan yang tepat guna. Pelaksanaan PKM dibagi menjadi dua yaitu pelatihan optimalisasi penggunaan media sosial dan e-commerce serta pelatihan pembuatan laporan keuangan, perencanaan keuangan pribadi, dan instrumen investasi. Kegiatan PKM ini berdampak secara langsung pada peningkatan pengetahuan dan keterampilan anggota Komunitas Odapus Lampung yang dapat terlihat dari hasil uji beda. Uji beda yang dilakukan dengan bantuan SPSS, data diperoleh dari penyembaran kuesioner sebelum dan sesudah pelatihan dan dari uji beda diperoleh nilai Sig. (2-tailed) adalah 0.002, dapat disimpulkan adanya kegiatan PKM ini dapat meningkatkan keterampilan anggota komunitas tersebut.
Pemanfaatan Aplikasi Pembukuan Online Untuk Meningkatkan Daya Saing UMKM Kecamatan Pedurungan
Authors: Khoirudin Khoirudin , Indriyawati Henny , Widodo Edi
Published: May 2022

Didalam era teknologi berbasis IT dan Internet of Thinks (IoT), pemanfaatan teknologi berbasis Android yang dapat diakses dimana saja menjadi kebutuhan dasar manusia. Aplikasi pembukuan berbasis Android dapat digunakan sebagai alat pencatatan arus keluar masuknya uang yang dapat digunakan secara mudah dan aplikatif bagi pelaku usaha, baik kecil maupun menengah. Pelaku usaha di Kecamatan Pedurungan (UMKM) merupakan pelaku yang berasal dari berbagai kalangan. Jenis usaha yang dilakukan mempunyai omset yang sangat besar, sehingga dibutuhkan suatu alat bantu untuk mengelola pembukuan keuangan. Pada saat ini masih banyak pelaku usaha yang dalam menjalankan usahanya belum menggunakan aplikasi teknologi informasi, mereka masih menggunakan buku untuk mencatat keuangannya. Metode yang akan dilaksanakan dalam kegiatan ini adalah metode ceramah dan praktek. Tujuan dari pengabdian ini adalah masyarakat bisa memanfaatkan aplikasi pembukuan keuangan berbasis Android, sehingga memudahkan pencatatan dan bisa mengetahui kemajuan usaha yang dijalankan.