bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparison of Balance Impairments in Early and Advanced Osteoarthritis of the Knee
Authors: Ali Noufal , Singh Upinderpal , Venkataraman Srikumar , Wadhwa Sanjay , Handa Gita
Published: August 2022

Background:

Studies which have compared the extent of balance impairment in various grades of primary osteoarthritis (OA) knee have got contradictory findings. Here, we compare static and dynamic balance indices and measure of mobility between radiological early and advanced OA knee patients.

Materials and Methods:

In this observational cross-sectional study, the participants were primary OA knee patients, fulfilling inclusion and exclusion criteria, classified into early (Kellgren-Lawrence Grade 1 and Grade 2; n = 40) and advanced (Grade 3 and Grade 4; n = 40) OA groups. Outcome measures were static balance, dynamic balance, and risk of fall assessed using Biodex Balance System (Overall Stability Index, Antero Posterior Index, and Medio Lateral Index) and mobility assessed using the Timed Up and Go Test (TUG).

Results:

The Overall Stability, Antero Posterior and Medio Lateral indices, when compared for static balance, dynamic balance and risk of fall, did not show any statistically significant difference between the two groups. However when TUG scores were compared, the difference in the scores was statistically significant.

Conclusion:

Our study did not show any change in balance impairment or risk of fall with advancing knee OA. However, mobility did show deterioration with the advancement of OA possibly because of more pain, muscle weakness, stiffness, and reluctance to move.
Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker
Authors: Tougui Ilias , Jilbab Abdelilah , Mhamdi Jamal El
Published: August 2022

Objectives: This study presents PD Predict, a machine learning system for Parkinson disease classification using voice as a biomarker. Methods: We first created an original set of recordings from the mPower study, and then extracted several audio features, such as mel-frequency cepstral coefficient (MFCC) components and other classical speech features, using a windowing procedure. The generated dataset was then divided into training and holdout sets. The training set was used to train two machine learning pipelines, and their performance was estimated using a nested subject-wise cross-validation approach. The holdout set was used to assess the generalizability of the pipelines for unseen data. The final pipelines were implemented in PD Predict and accessed through a prediction endpoint developed using the Django REST Framework. PD Predict is a two-component system: a desktop application that records audio recordings, extracts audio features, and makes predictions; and a server-side web application that implements the machine learning pipelines and processes incoming requests with the extracted audio features to make predictions. Our system is deployed and accessible via the following link: https://pdpredict.herokuapp.com/. Results: Both machine learning pipelines showed moderate performance, between 65% and 75% using the nested subject-wise cross-validation approach. Furthermore, they generalized well to unseen data and they did not overfit the training set. Conclusions: The architecture of PD Predict is clear, and the performance of the implemented machine learning pipelines is promising and confirms the usability of smartphone microphones for capturing digital biomarkers of disease.
Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning
Authors: Amruthalingam Ludovic , Buerzle Oliver , Gottfrois Philippe , Jimenez Alvaro Gonzalez , Roth Anastasia , Koller Thomas , Pouly Marc , Navarini Alexander A.
Published: August 2022

Objectives: Pustular psoriasis (PP) is one of the most severe and chronic skin conditions. Its treatment is difficult, and measurements of its severity are highly dependent on clinicians’ experience. Pustules and brown spots are the main efflorescences of the disease and directly correlate with its activity. We propose an automated deep learning model (DLM) to quantify lesions in terms of count and surface percentage from patient photographs. Methods: In this retrospective study, two dermatologists and a student labeled 151 photographs of PP patients for pustules and brown spots. The DLM was trained and validated with 121 photographs, keeping 30 photographs as a test set to assess the DLM performance on unseen data. We also evaluated our DLM on 213 unstandardized, out-of-distribution photographs of various pustular disorders (referred to as the pustular set), which were ranked from 0 (no disease) to 4 (very severe) by one dermatologist for disease severity. The agreement between the DLM predictions and experts’ labels was evaluated with the intraclass correlation coefficient (ICC) for the test set and Spearman correlation (SC) coefficient for the pustular set. Results: On the test set, the DLM achieved an ICC of 0.97 (95% confidence interval [CI], 0.97–0.98) for count and 0.93 (95% CI, 0.92–0.94) for surface percentage. On the pustular set, the DLM reached a SC coefficient of 0.66 (95% CI, 0.60–0.74) for count and 0.80 (95% CI, 0.75–0.83) for surface percentage. Conclusions: The proposed method quantifies efflorescences from PP photographs reliably and automatically, enabling a precise and objective evaluation of disease activity.
Development of a Frailty Detection Model Using Machine Learning with the Korean Frailty and Aging Cohort Study Data
Authors: Koo Dongjun , Lee Ah Ra , Lee Eunjoo , Kim Il Kon
Published: August 2022

Objectives: This paper aimed to use machine learning to identify a new group of factors predicting frailty in the elderly population by utilizing the existing frailty criteria as a basis, as well as to validate the obtained results. Methods: This study was conducted using data from the Korean Frailty and Aging Cohort Study (KFACS). The KFACS participants were classified as robust or frail based on Fried’s frailty phenotype and excluded if they did not properly answer the questions, resulting in 1,066 robust and 165 frail participants. We then selected influential features through feature selection and trained the model using support vector machine, random forest, and gradient boosting algorithms with the prepared dataset. Due to the imbalanced distribution in the dataset with a low sample size, holdout was applied with stratified 10-fold and cross-validation for estimating the model performance. The reliability of the constructed model was validated using an unseen test set. The model was then trained with hyperparameter optimization. Results: During the feature selection process, 27 features were identified as meaningful factors for frailty. The model was trained based on the selected features, and the weighted average F1-score reached 95.30% with the random forest algorithm. Conclusions: The results of the study demonstrated the possibility of adopting machine learning to strengthen existing frailty criteria. As the method analyzes questionnaire responses in a short time, it can support higher volumes of data on participants’ health conditions and alert them regarding potential risks in advance.
Caracterización fisicoquímica de los humedales del distrito Huanchaco de la provincia Trujillo, 2019
Authors: Cruz S. De La , K. Estheban , L. Ruiz
Published: August 2022

En esta investigación se realizó la caracterización de los principales parámetros Fisicoquímicos de las aguas de los humedales de Huanchaco, área protegida ubicada en Trujillo, Perú; durante el mes de marzo de 2019. Se determinaron las condiciones del agua evaluando 25 pozas artíciales in situ y ex situ donde crece la totora (Schoenoplec-tus californicus), obteniéndose valores de pH en un rango de 6,83 y 7,5, temperatura entre los 21.7°C y 26.7°C, conductividad de 0,89 S/m en promedio, oxígeno disuelto de 0,52 mg/L y valores de DBO5 de 0 a 4,3. De estos resultados, solo la temperatura y el pH, se encontraban dentro de los Estándares de Calidad Ambiental para agua.
SNSF Datastory - 70 years of the SNSF: from a few million to a billion"
Authors: Rutishauser This , Schnyder Daniel , Mattern Julius
Published: August 2022

The SNSF has been awarding grants to research projects across all scientific disciplines since 1952. How has the amount of funding evolved over time?
Performance Analysis of Stroke Prediction using Robust Machine Learning Algorithms
Authors: N V Suchetha , . Sumanth , Nagur Susheel C. , B S Varun Hebbar , Hiremat Varun S
Published: August 2022

Stroke is one of the major causes of mortality all over the world. Stroke is caused when the blood flow to the brain is obstructed. The poor blood flow causes death of brain cells and eventually, it may result in death of the person. In this work, three different machine learning algorithms are being used for the prediction of stroke risk, Decision Tree, K Nearest Neighbors and Random Forest. Among these, Random Forest model provides better accuracy of 94.1%. As Compared to traditional methods, using machine learning for the prediction of stroke is convenient and also economical.
Utilização dos jogos reduzidos como estratégia de ensino do voleibol na escola
Authors: Friederich Bruce , Castro Henrique de Oliveira , Leonardi Thiago José , Rother Rodrigo Lara , Costa Gustavo De Conti Teixeira , Laporta Lorenzo Iop
Published: August 2022

Os jogos reduzidos são formas alternativas de mudar a dinâmica e a estrutura dos jogos formais. Manipulações como: espaço de jogo, número de jogadores, posses de bola, regras, entre outros são realizadas, objetivando que o jogador se adapte a diversos contextos, como também fomentar a iniciação e facilitar a aprendizagem da tática e técnica inerentes ao voleibol. O presente estudo objetiva identificar a literatura acerca da utilização dos jogos reduzidos no processo de ensino do voleibol nos aspectos tático-técnicos e de tomada de decisão, físicos e psicológicos, em crianças e adolescentes em idade escolar. Recorreu-se à revisão narrativa com o intuito de analisar e interpretar, de forma crítica, o “estado da arte” sobre este tema. Os resultados mostraram que os jogos reduzidos são uma ferramenta eficaz para a aprendizagem e estimulam o desenvolvimento das habilidades tático-técnicas e físicas, à medida que se considera o estágio de desenvolvimento motor e da capacidade física dos participantes. Assim, ao vivenciar distintas configurações do jogo em um contexto simplificado, é oportunizada maior participação ativa no jogo, ao mesmo tempo em que traz experiências afetivas positivas com o voleibol. Além disso, são requeridas decisões em um ambiente instável, em situação análoga ao jogo formal, oportunizando a contextualização da técnica junto a demanda tática em contexto mais simples. Os jogos reduzidos são uma estratégia eficiente para o ensino do voleibol a nível escolar, desde que o professor modere o aprendizado considerando o estágio de desenvolvimento dos participantes e oportunize um clima positivo para a aprendizagem.
Inclusão social através do circo: uma revisão integrativa
Authors: Nenartavis Fernanda de Carvalho , Vianna José Antonio
Published: August 2022

As atividades circenses ganharam espaço na mídia e se expandiram através da atuação dos projetos educativos. No entanto, os pesquisadores da temática circo como um meio de inclusão social devem concordar que este fenômeno ainda precisa ser mais bem investigado. Sendo assim, este estudo procurou identificar, avaliar e sintetizar os artigos empíricos sobre o uso de atividades circenses como inclusão social publicados em português, inglês e espanhol na plataforma Web of Science no período entre 2011 e 2021. O total de estudos de campo identificados para análise (10) indica que a área precisa de mais investigações empíricas. “Saúde e bem-estar” e “Mudança social” apareceram como os assuntos mais debatidos nos estudos selecionados.
OPAC:Catalogue of Modern Library
Authors: Javitri Panwar  , Basant Bais
Published: August 2022

OPAC stands for “Open Public Access Catalogue”. The online public access catalogue depicts the
online library database of resources like books, journals, newspapers, e-books, etc. The students can
get access to any books as well as e-content from anywhere & at any time with the OPAC .All they
need is to search for keywords such as – name of the book, title, author’s name, volume number, and
much more. Thus, OPAC can contribute to students’ success in the long run by helping them carry
on their e-learning journey. The purpose of OPAC or the Online Public Access Catalogue to make
the digital resources search faster & easier for the students by offering a digital library catalogue
Evaluation of Mental Stress using Different Physiological Parameters: A Review
Authors: Monika M. Chauhan  , Ritesh J. Patel
Published: August 2022

Mental Stress plays a vital role in everyday life. It is mental state and is accompanied by
physiological changes. So monitoring of these significant changes is important, which can help to
identify the matter of anxiety at an early stage before some serious health problem. Continuous stress
monitoring may help users better understand their stress patterns and provide physicians with more
reliable data for interventions. The basic parameters on which stress can be identified are heart rate,
galvanic skin response, body temperature; blood pressure etc. combinations of different parameters
provide more accurate results. Usage of multiple parameters aids in better determination of stress.
Combination of different parameters like galvanic skin response and blood pressure,
electrocardiogram, skin temperature and heart rate are used.
PENGEMBANGAN INSTRUMEN PENGUKURAN KUALITAS UDARA MENGGUNAKAN SENSOR PMS7003
Authors: Okaem Tanti Tritama
Published: August 2022

Pencemaran udara menjadi salah satu permasalahan lingkungan secara global. Salah satu parameter kualitas udara yang menjadi perhatian yaitu Particulate Matter 2.5 ug/m (PM2.5) karena mengakibatkan gangguan kesehatan pada pernafasan. Informasi kualitas udara PM2.5 tersebut sangat terbatas karena terkendala jumlah dan operasional dari instrumennya, sehingga dilakukan pengembangan peralatan pengukuran kualitas udara menggunakan sensor PMS7003. Pengujian dilakukan di SPAG Bukit Kototabang selama 1 bulan, instrumen dibandingkan dengan peralatan referensi MetOne BAM 1020 untuk konsentrasi PM2.5 dan PM10. Penelitian ini dilakukan dengan menggunakan model pengembangan Plomp. Hasil yang diperoleh sensor PMS7003 layak digunakan untuk pengukuran konsentrasi PM2.5 dibandingkan PM10. Hasil pengujian PM2.5 dengan instrumen referensi diperoleh yaitu korelasi 0,68, RMSE 3,83, bias -0.43, MAE 2.91, ketepatan 0.92 dan konsentrasi PM2.5 pada sensor PMS7003 meningkat saat kelembaban diatas 90%.
ESTIMASI MODEL PERCEPATAN TANAH MAKSIMUM UNTUK SUMBER GEMPABUMI DI INTERFACE DAN INTRA-SLAB SUBDUKSI UNTUK JENIS TANAH LUNAK DI KOTA PADANG MENGGUNAKAN MODEL ATTENUASI LIN DAN LEE
Authors: Raharjo Furqon
Published: August 2022

Parameter informasi percepatan getaran tanah maksimum memegang peranan penting untuk mengetahui tingkat resiko bahaya kegempaan di suatu wilayah salah satunya di Kota padang. Sumber kegempaan di Kota Padang meliputi zona megathrust (interface subduction) dan zona Benioff (Intraplate subduction). Tujuan dari penelitian ini adalah menentukan estimasi model percepatan getaran tanah maksimum (PGAmax) akibat gempabumi yang bersumber di zona interface subduction dan Intraplate subduction. Analisis yang dilakukan adalah menghitung nilai PGAmax disetiap titik grid menggunakan persamaan atenuasi Lin dan Lee (2008) pada kondisi tanah lunak.  Hasil analisis penelitian ini menunjukkan percepatan tanah maksimum (PGAmax) untuk sumber gempabumi  interface subduction berkisar 0.0424 g hingga 0.0457 g, sedangkan di intra-slab subduction berkisar 0.0956 g hingga 0.1146 g. Nilai PGA yang relatif lebih tinggi yang bersumber dari interface subduction terjadi di Koto Tangah, Nanggalo, sebagian Padang Utara, Padang Barat, Padang Selatan, Lubuk Begalung dan Bungus sedangkan untuk sumber Intraplate subduction terjadi di Koto Tangah, Kuranji, Nanggalo dan sebagian di Padang Utara dan Padang Barat.
The Effect of Performance, Age, Transfer Fee and Salary to the Market Value of Professional Players (Empirical Studies in European Leagues Football Clubs)
Authors: Margareta Lely Marce , Malinda Okta
Published: August 2022

This study aims to provide empirical evidence about the effect of performance, age, transfer fee, and salary to the market value of professional football players. Data obtained from the official website which publish price of the football players in the transfer market in European leagues that is transfermarkt.co.uk. The population in this study is 4 club in Europe. Based on purposive sampling method, samples obtained as many as 400 players from 40 clubs. The hypothesis in this study tested use multiple regression analysis to test the effect of independent variables on the dependent variable. The research result shows that the performance has positive significant affect the market value of football players, ages has positive significant effect to the market value of football players, incoming transfer fee has positive significant effect to the market value of football players and the salary has positive significant effect to the market value of football players. The conclusion of this study is the performance, age, transfer fee and salary can be used to base appraisals football players in the market value.
Determining The Shortest Path In Car Parking Layout In FMIPA UNPAD Using Floyd-Warshall Algorithm
Authors: Suyudi Mochamad , Mardiyah Asma Ainun
Published: August 2022

Vehicles that are increasingly needed by the community increase the volume of vehicle traffic, resulting in a high demand for parking spaces. Especially in public places such as campuses, offices, shopping centers, and other places. A parking lot is also needed that has a maximum capacity by determining the layout of the vehicle mileage in finding a parking location. In this paper, we are looking for the shortest path in the car park layout at FMIPA UNPAD using the Floyd-Warshall algorithm.
Internalisasi Etika Bisnis Dalam Manajemen Sumber Daya Manusia
Authors: Rahayu Sari
Published: August 2022

Business Ethics is a way of conducting business activities that cover all aspects related to individuals, companies and society. The progress of an organization cannot be separated from the role of human resources supported by good ethics in each individual. The purpose of writing this journal is for the organization to function as a forum and a tool to achieve goals in which there are norms that must be guided and have values ​​that need to be adhered to. In terms of human resource management, ethics has an important role to ensure fair, effective and efficient action. Resource management is also responsible for the organization's efforts to deal with ethical behavior so that it can become a driving force in the organization and play a role in the development and training of the importance of improving employee morale.
Gender Differences in Attitudes Towards Violence in Dating
Authors: Arumi Mira Sekar , Safitri Nurikah
Published: August 2022

Attitude needs to be considered concerning violence against partners, because these variables, apart from playing a role in acts of violence, also play a role in determining victim responses, and community responses (Flood & Pease, 2009). One type of violence that occurs in couples but is still rarely discussed is violence during dating. The attitude of a person, both men and women in assessing violence in dating, tends to affect their love relationship, both currently being undertaken and those that will occur in the future (Medeiros & Strauss, 2006). The present study examined the differences in attitudes towards the phenomenon of violence based on gender. Subjects in this study was 110 college students, with spesification of 42 males and 68 females with an age range of 18-27 years, collected by convenience sampling.  The results of hypothesis testing using the Mann-Whitney Test with sig 0.484 > 0.05 indicate no significant difference between male and female attitudes towards dating violence. The average score results of male and female is 2, which mean they generally do not agree with violence in dating. However, several male and female students in the medium dan high category indicate some of them tend to agree with violent behavior in dating. Furthermore, more study is needed to explore the reason behind this agreement, so stakeholders can implement a program to cultivate an attitude of empathy towards others, mutual respect, and obey the psychological code of ethics and in real life.
Implementation of Sustainable Supply Chain Management in Organic Rhizome Supply Partnership
Authors: Novra Ardi , Asyar Rayandra , Adriani Adriani , Marwan Husda , Mursalim Mursalim , Achmad Eva
Published: August 2022

The purpose of this paper is to identify and evaluate the implementation of Sustainable SCM in organic rhizome supply partnerships which includes 7 aspects. The program developed multi-stakeholder partnership governance within a supply chain management (SCM) framework for organic rhizome agroindustry. Stakeholders involved in partnerships are grouped into 3 according to the components in SCM, namely 1) downstream SC who provide input needs for organic rhizome cultivation (producers of compost, cocopit and other planting media), 2) internal SC who carry out the cultivation process starting from the Organic Rhizome Learning Center (until the age of 4 months) and households rhizome cultivation, and 3) upstream SC, namely households (post-harvest and processing). The evaluation results show that of the seven aspects of SSCM, only the logistics aspect is optimized and the transportation is sustainable, while the other 6 aspects are already running. The use of organic waste available for seedling and planting media meets the aspect of a sustainable source of raw materials, is able to reduce the risk of concentration in nature so as to reduce risks to occupational health and safety. Development of research and learning centers in each target village as a means of sharing in sustainable competency development. On the other hand, with tiered partnerships involving customers, suppliers, communities and community groups with government and university facilitation, the model built has a positive impact on local communities. Based on the three aspects of sustainable development, the development of a multi-stakeholder partnership model in this organic rhizome agroindustry can be a best practice for other commodities.
The role of Algerian diplomacy in the Libyan crisis: Objectives and obstacles
Authors: Guattas Samir , Benaissa Lazhar
Published: August 2022

This article aims to analyse the position of Algerian diplomacy with regard to the Libyan crisis and the attempts to resolve this fratricidal conflict, which has become an economic and security burden for Algeria. Where, the Libyan crisis, due to the proximity of this country to Algeria, has become a source of threats and protean (security) risks, a fortiori terrorism. It should be noted that Algeria's diplomatic approach is based on a "political solution" to the Libyan crisis, which consists of banning any form of foreign intervention, especially military. This approach has come up against the complexity of the Libyan reality and its regional and international ramifications. In this article, we address the following elements - the evolution of the Algerian diplomatic position towards the Libyan crisis since 2011; - the nature of the Algerian diplomatic preoccupation towards the Libyan crisis. We will also try to analyse the deeper issue of the balance between the moral (or principled) dimension versus strategic interests of Algerian diplomacy in the Libyan crisis. Finally, we will try to provide a prospective vision of the possible future paths of Algerian mediation in the Libyan crisis.
Chemistry Teachers' TPACK Competence: Teacher Perception and Lesson Plan Analysis
Authors: Hayati Nurlaila , Kadarohman Asep , Sopandi Wahyu , Martoprawiro Muhamad Abdulkadir , Rochintaniawati Diana
Published: August 2022

This descriptive study aims to describe chemistry teachers' Technological Pedagogical Content Knowledge (TPACK) competence based on teacher perception and lesson plan analysis. Chemistry teachers' perceptions were obtained through the TPACK questionnaire, which was developed based on components in the TPACK framework. Meanwhile, the lesson plan analysis is carried out through a rubric developed based on the TPACK indicator for the lesson plan. The respondent was 86 chemistry teachers who teach in one Indonesian province. Sampling for the analysis of teacher perceptions was carried out through purposive sampling, and the sample lesson plans were selected from several respondents who filled out the TPACK questionnaire. Both data sets were analyzed descriptively. The results of the TPACK perception analysis of chemistry teachers on the components of TK, PK, and PCK show that they have sufficient ability. These results align with the analysis of the lesson plans they made, which are in the good category. In the CK and TPK components, chemistry teachers' perception shows they have sufficient ability. It is not in line with the results of the analysis of lesson plans which are in the poor category. In TCK component, chemistry teachers' perception shows they have less ability. These results are quite in line with the analysis of lesson plans which are in the very poor category. Finally, the results of the analysis on TPACK component show that chemistry teachers are unsure or doubtful about their abilities, while the results of the analysis of lesson plans are in the very poor category.
Evaluation of the effects of a cognitive and neuromotor stimulation program for a group of elderly people with major neurocognitive disorders
Authors: Uță Viorica Mariana , Enache Rodica Gabriela
Published: August 2022

The objective of this study is to analyze the neurocognitive decompensation processes in elderly people upon entering care centers and one year after their integration into special programs designed to limit the effects of Alzheimer's disease and other neurodegenerative diseases. This scientific research will observe the limitation, progression or regression of these types of diseases. Following this study, the major risk factors were identified, group and individual therapies were implemented and the needs of the elderly were determined in order to optimize their neurocognitive functions and increase their quality of life.
The manifestation of the religiosity of older people through social media during the pandemic period
Authors: Chirugu Gianina , Damean Doru Claudiu
Published: August 2022

The analysis of the manifestation of the religiosity of the elderly during the pandemic through social networks represents the object of this paper. In order to achieve the purpose of the research carried out involved the use of qualitative research methods the semi-structured interview and the case study, with the objective of having an overall view on this subject, having as a basis the revision of the works in international databases so as to obtain as much truthful information as possible for the scientific approach. In carrying out the qualitative research, 150 elderly people from Romania participated and the case study was carried out in Constanta because the Orthodox Church had an intense activity during the online pandemic. Different understandings of religion, church, and community were analyzed during a pandemic period and support the value of an approach that places debates born in the context of historical precedent, personal experience, and theoretical approaches to networks, communities, religion, and social media.
EFFECT OF RIGHTS ISSUE, BONUS ISSUE AND STOCK SPLIT ANNOUNCEMENTS ON SHARE RETURNS OF FIRMS LISTED IN NAIROBI SECURITIES EXCHANGE
Authors: Maingi Nicholas , Waweru Fredrick
Published: August 2022

Purpose: The objective was to find out the effect of rights issue, bonus issue and stock split announcements on share returns of firms listed in Nairobi Securities Exchange.

Materials and Methods: Event study research design was used in the study.  Target population comprised all companies in the Nairobi Securities Exchange register that announced bonus issue, rights, and stock split from 2014 to 2020. There were 6 companies which announced rights issue, 17 companies which announced bonus issue and 2 companies which announced stock splits. The study employed event study methodology whereby collection of secondary data was done for 30 days before and after respectively for each bonus issue, rights issue and stock split announcement. Statistical bias was eliminated by using normality and autocorrelation tests there after the Mean Adjusted Return Model was used in determining expected returns and abnormal returns.

Results: In all the companies there were abnormal returns which prove that the announcements had an effect on share returns, Sixteen companies witnessed increase in abnormal returns while nine firms witnessed decline in abnormal returns following the announcements. To whether the effects were significant null hypothesis postulating that the announcements had significant effect on share returns of firms listed in Nairobi Securities Exchange was accepted for twenty four firms and rejected for one firm. The conclusion was that right issue, bonus issue and stock splits announcements have a significant effect on Share returns.

Unique contribution to theory, practice and policy: The study recommendations include that; the Nairobi Securities exchange should support research by providing data free of charge for interested researchers. The Capital Markets Authority and NSE should educate investors on the investment opportunities available and this will increase local investors in the bourse, currently most investors are foreigners. NSE and CMA should beef up surveillance in the market so as to curb insider trading especially when companies are about to make any form of corporate announcements.
The Influence of Staffs’ Knowledge on Preparedness of Catholic Mission Hospitals for Health Service Delivery during Emergency Inflow of Patients in Nairobi County, Kenya
Authors: Kiteng’u Petronella Mueni , Muiruri Lillian , Musa Oluoch
Published: August 2022

Purpose: To determine the influence of staffs’ knowledge on preparedness of catholic mission hospitals for health service delivery during emergency inflow of patients in Nairobi County, Kenya.

Methodology: A cross sectional descriptive study design was used with quantitative approach for data collection and analysis. Four tier-3 Catholic Mission Hospitals were purposively selected and a stratified random sample of 647 members of staff from different cadres was taken. A structured questionnaire was used to collect data. Data was analyzed using STATA software v.16, where descriptive statistics were presented using frequencies and percentages whereas inferential statistics were presented using correlation and regression analysis.

Findings: The study found out that staff training and exercises for knowledge and skills influenced preparedness of Catholic Mission Hospitals for health service delivery during emergency influx of patients. A positive and significant relationship was found at (r=0.211; p<0.01). This means that the hospitals are perceived as prepared for health service delivery during emergency influx of patients. However, staff drills (staff exercises) at (r = -0.147; p<0.05) were found insignificantly influencing services delivery. This means that the hospitals would be unprepared even if staff drills were in place.

Recommendations: The study recommends that the managers of catholic hospitals should have scheduled staff trainings and drills for efficient and timely response in times of need for emergency service deliver. Policy guidelines on skills acquisition for the staff in the health institutions need to be developed to guide the trainings and frequent drills to sharpen the theory and practice of the healthcare team.
Rancang Bangun Sistem Informasi Geografis Untuk Pemetaan Lokasi Sosialisasi Pasien Rumah Sakit Umum Islam Banyubening Boyolali (Studi Kasus : RSUI Banyubening)
Authors: Muhdi Ali , Purwanto Eko , Nurmalitasari Nurmalitasari
Published: August 2022

Teknologi SIG mengintegrasikan operasi pengolahan data berbasis database yang biasa digunakan saat ini, seperti pengambilan visualisasi yang khas serta berbagai keuntungan yang mampu ditawarkan analisis geografis melalui gambar-gambar petanya. Setiap seminggu sekali Rumah sakit Banyubening Boyolali melakukan proses pencatatan dan penulisan data sosialisasi rumah sakit tersebut masih menggunakan buku dan menggunakan peta berukuran besar yang di pajang di ruang marketing hal tersebut memiliki kelemahan dalam hal penggunaan material seperti ruang dan kertas menumpuk membuat pencarian data pun kurang efektif sesuai kebutuhan. Tujuan menerapkan SIG diharapkan dapat Membantu mempetakan tempat yang belum terjangkau promosi oleh Marketing Rumah Sakit Umum Islam Banyu Bening Boyolali serta meningkatkan efisiensi dan efektifitas instansi untuk bagian marketing. Metode yang digunakan dalam penelitian ini adalah metode UML (Unifield Modeling Language). Aplikasi yang dibangun menggunakan bahasa pemrograman PHP dengan database MySQL. Hasil penelitian ini adalah sebuah Sistem Informasi Geografis Pemetaan Lokasi Persebaran Pasien Rumah Sakit Umum Islam Banyubening Boyolali dapat memberikan informasi yang akurat guna untuk memperluas area promosi rumah sakit kepada masyarakat umum.
Penerapan Sistem Rekomendasi Pada Rancang Bangun Aplikasi Start-up Penyedia Informasi Event
Authors: Hasyim Rosidi Pegi , Wijiyanto Wijiyanto , Atina Vihi
Published: August 2022

Suksesnya sebuah Acara/Event yang diselenggarakan, akan dipengaruhi oleh banyaknya orang yang datang dan keberhasilan penjualan atau promosi produk yang dikedepankan. Start Up ini dapat menjadi media partner atau sarana promosi bagi pihak yang menyelenggarakan event. Di satu sisi penyelenggara event akan terbantu karena tidak perlu mengeluarkan banyak biaya untuk promosi. Masyarakat pun juga terbantu, karena bisa memilih ingin mendatangi event yang mana, kapan, dimana serta harga tiketnya. Penggunaan sistem rekomendasi merupakan solusi yang memungkinkan masyarakat dapat memperoleh informasi event yang diminati. Salah satu metode yang dapat digunakan pada startup ini adalah Content Based Recommendation yang merekomendasikan item ke pengguna berdasarkan deskripsi dari item tersebut kepada profil pengguna. Profil pengguna bisa didapatkan dari sejarah pengguna menggunakan aplikasi, event apa saja yang pernah pengguna datangi, atau bisa juga didapatkan dengan menanyakan langsung ke pengguna. Aplikasi sistem rekomendasi ini memberikan rekomendasi event dengan menggunakan algoritma apriori berdasarkan kategori event yang didapatkan dari riwayat event . Minimum support yang digunakan dalam sistem adalah 80% dan minimum confidence sebesar 85% untuk memberikan hasil yang akurat.
Sistem Customer Relationship Management (CRM) Guna Meningkatkan Penjualan Berbasis Web
Authors: Prabawa Sigit , Nofikasari Indah , Ichsan Pradana Afu
Published: August 2022

Perkembangan teknologi internet dan kemudahan akses dari berbagai peralatan komunikasi, memberikan pengaruh terhadap gaya konsumen untuk berbelanja secara efektif dan efisien. Peran perdagangan secara elektronik berbasis web dalam persaingan bisnis menuntut lebih kreatif dan inovatif untuk lebih memanjakan konsumen tetap setia. E-commerce merupakan suatu upaya untuk memberikan kemudahan bertransaksi secara online kapanpun dan dimanapun tanpa konsumen harus keluar rumah. Oleh karena itu diperlukan suatu strategi untuk pengolahan data konsumen, promosi produk, penjualan produk dan mengolah data pelayana konsumen untuk mendapatkan pelanggan sebanyak mungkin sesuai target yang telah ditetapkan oleh sebuah perusahaan.Pendekatan metode Customer Relationship Management (CRM) melalui operasional, analitik dan kolaboratif menjadi tolak ukur dalam pembuatan situs E-CRM berbasis web agar sesuai dengan kebutuhan dalam mendapatkan hubungan yang baik dengan konsumen. Pembuatan Rancangan sistem dengan menggunakan UseCase Diagram dan Activity Diagram .Aplikasi MySql Server, Webserver digunakan untuk mendukung pembuatan Basis Data.
Penerapan Data Mining Dengan Algoritma Apriori pada Penjualan di New Java Steak
Authors: Wahyu S Sulistyo , Nurchim Nurchim , Susanto Rudi
Published: August 2022

New Java Steak merupakan salah satu usaha yang bergerak di bidang kuliner yang merupakan milik perseorangan. Selama ini data transaksi New Java Steak tidak tersusun dengan baik, data tersebut hanya disimpan sebagai arsip dan tidak dimanfaatkan. Data transaksi penjualan seharusnya dapat dimanfaatkan untuk berbagai hal, seperti strategi pemasaran dan manajemen stok bahan baku. Data Mining merupakan sebuah proses untuk menemukan pola, hubungan yang baru dan bermanfaat dari suatu kumpulan data yang banyak, salah satu teknik pengolahan data mining adalah Association Rule. Association Rule adalah teknik data mining yang berguna untuk menemukan pola atau kombinasi item di dalam basis data. Metode yang digunakan dalam pengembangan aplikasi ini adalah RAD (Rapid Application Development), dengan menggunakan UML(Unified Modelling Language) untuk permodelannya. Hasil dari proses data mining yang didapat berupa kombinasi menu yang banyak diminati oleh pembeli.
Mapeamento da produção acadêmica via desenvolvimento profissional: o caso dos trabalhadores da Secretaria de Esportes e Lazer de Belo Horizonte
Authors: Pereira Jurema
Published: August 2022

Contextualizado à inovação gerencial consubstanciada na Gestão do Desempenho e do Desenvolvimento profissional promovida pela Prefeitura de Belo Horizonte (PBH) a partir de 2018, este trabalho objetiva analisar o mapeamento dos conteúdos de doze produções acadêmicas de quatorze colaboradores da Secretaria Municipal de Esportes e Lazer (Smel) da PBH apresentados em oito eventos técnicos (encontros, seminários, congressos) em 2019 e 2020, bem como traçar o perfil técnico funcional deles. A difusão de tais trabalhos está em programação para inserção no EAD municipal. A autora atua na equipe de Desempenho e Desenvolvimento Profissional da Smel e produziu um dos trabalhos enfocados. A metodologia teve naturezas qualitativa e quantitativa, exploratória e descritiva, configurando-se em estudo de caso múltiplo, com amostragem não randômica. A coleta dos dados ocorreu por questionário estruturado em planilha compartilhada via e-mail corporativo à amostra via Google Drive, de abril a maio de 2021, com tratamento através de análise documental. Estes foram os resultados: 1. temáticos e 2. funcionais: 1.1 finanças públicas (autora); 1.2 formação esportiva; 1.3 eventos esportivos e de lazer; 1.4 lazer, saúde e qualidade de vida; 2.1.1 uma Administradora (autora) e 2.1.2 treze Educadores Físicos; 2.2.1 dez ocupando cargo efetivo (autora) e 2.2.2. quatro comissionados; 2.3.1 todos os quatorze autores ocupantes do cargo de Analista de Políticas Públicas. Conclui-se que as produções oportunizaram aprofundar criticamente quesitos relativos ao ciclo das políticas públicas de governança, esportes e lazer, para além dos espaços das rotinas de trabalho que caracterizam os autores como cumpridores dos pactos definidos pelos mandatários do Poder Executivo.
Forças produtivas e suas transformações: o contexto do trabalho na indústria do vestuário
Authors: Santos Arthur , Chaves Andréa
Published: August 2022

Este estudo buscou compreender as similaridades e as diferenças nas relações trabalhistas das indústrias de vestuário em dois polos produtivos em diferentes continentes. O texto caminha na tentativa de compreender de que forma o processo de restruturação produtiva provocou a precarização do trabalho em polos industriais em diversas partes do mundo. Para tanto, foi feito um levantamento da literatura e foi analisado documentos técnicos sobre a produção do vestuário em Toritama, nordeste brasileiro e Bangladesh, na Ásia. Assim, ambos os polos têm em comum o fato de empregar trabalhadores em uma indústria milionária sem oferecer proteção social alguma. As recentes tentativas de melhorar as condições de trabalho em Bangladesh podem proporcionar um aprendizado importante nos desafios que o polo brasileiro enfrenta ao almejar ocupar uma posição de importância internacional.
As contribuições do programa de aprendizagem no processo de formação profissional de aprendizes no período da Pandemia do COVID-19
Authors: Freitas Ludymilla , Fonseca Sara
Published: August 2022

O programa de aprendizagem é uma oportunidade de inclusão econômica e social, que proporciona ao jovem ingressar ao mercado de trabalho formal como uma estratégia de garantir o direito à profissionalização dos adolescentes, conforme preconizado no Estatuto da Criança e Adolescente. Trata-se de um contrato de trabalho de caráter especial, em que é proporcionado ao jovem, atividades teóricas e práticas. Este artigo tem o propósito de compreender a trajetória profissional de jovens aprendizes de Sete Lagoas - MG no período de pandemia. Participaram do estudo onze jovens com idade entre 16 a 21 anos, de ambos os sexos, onde responderam a um questionário online sobre a aprendizagem profissional no período da pandemia do Covid-19. Os dados coletados foram analisados de acordo com a perspectiva de análise de conteúdo de Bardin (1977). Os resultados indicam percepções positivas sobre o processo de formação profissional, apontando que a experiência da aprendizagem proporciona, as contribuições para o desenvolvimento pessoal e profissional mesmo com os desafios impostos pelo período de distanciamento social.
Egressos do Colégio Técnico da Universidade Federal de Minas Gerais nos cursos de graduação da instituição
Authors: Resende Patrícia , Nogueira Cláudio
Published: August 2022

Este trabalho faz parte de uma pesquisa de doutorado sobre o acesso ao ensino superior pelos estudantes do Colégio Técnico (Coltec) da Universidade Federal de Minas Gerais (UFMG). O recorte tratado neste artigo é o acesso de egressos do Coltec aos cursos de graduação da UFMG procurando dar ênfase no quantitativo de estudantes que ingressaram na universidade, nos cursos acessados e na sua seletividade. A questão de pesquisa foi elaborada considerando o lugar diferenciado que as escolas técnicas federais ocupam no sistema de ensino brasileiro, somado ao contexto atual de vigência da Lei 12.711/2012. Foram analisados dados disponibilizados pela Pró-Reitoria de Graduação da UFMG do período de 2009 a 2020. Os resultados mostraram que o número de estudantes que ingressaram nos cursos de graduação da UFMG é elevado ao longo do período (n=1.455). A grande inserção provavelmente tem relação com a superseleção pela qual passaram os estudantes para entrada na escola técnica, bem como com o acesso a uma formação de qualidade durante o ensino médio técnico. Percebeu-se que o número de estudantes oriundos do Coltec caiu com a implantação da política de ação afirmativa do bônus e cresceu no período inicial de implantação das cotas. De todo modo, mesmo antes das políticas de ações afirmativas, os estudantes já conseguiam se inserir na universidade de maneira expressiva. Dos dez cursos superiores mais acessados, oito guardam relação com os cursos técnicos integrados ofertados na escola. Há um predomínio de estudantes nos cursos mais seletivos da UFMG.
Formação, mercado de trabalho e identidade do bibliotecário em tempos de Pandemia
Authors: Pena André
Published: August 2022

A ressignificação do papel do bibliotecário considerando a enorme transformação ocasionada pela pandemia se faz necessária. O mundo e, sobretudo, os trabalhadores nos últimos anos já vinham sofrendo com os ataques aos direitos trabalhistas, agravados a partir da última grande crise econômica mundial em 2008 e dos efeitos da pandemia da Covid 19 que espalhou pelo mundo a partir de 2020. Diante desse cenário, o presente estudo apresenta uma interpretação da formação e do mercado de trabalho do bibliotecário diante do avanço das políticas de austeridade que pioraram as condições de trabalho desse profissional e as novas ocupações como documentalistas e particularmente analistas da informação tampouco conseguiram melhorar a inserção da denominada família profissionais da informação. Ao contrário, corre-se o risco com as mudanças curriculares e o enfoque das escolas de formação ocasionar perdas identitárias e de direitos para a categoria, dificultando uma boa inserção das tanto dos homens quanto das mulheres no mercado de trabalho.
O uso de plataformas digitais como ferramenta de ensino e aprendizagem
Authors: Medeiros Alexsandro
Published: August 2022

Diante do novo quadro que os avanços tecnológicos tem acarretado para a sociedade e a prática pedagógica, impõe-se cada vez mais uma reflexão sobre seus impactos uma vez que a dinâmica das relações sociais exige, de certo modo, que a escola integre no processo educacional as novas tecnologias. Diante deste cenário o objetivo deste trabalho foi o de analisar como o uso da tecnologia tem afetado de alguma forma o contexto da sala de aula, considerando igualmente o uso de plataformas digitais como ferramentas de ensino e aprendizagem. Como metodologia utilizou-se a pesquisa exploratória (quanto aos objetivos) e quanti-qualitativa (quanto a abordagem). A abordagem quanti-qualitativa foi realizada a partir do levantamento e da amostragem por acessibilidade, submetendo seus resultados a uma análise crítica. Para a obtenção de dados através do levantamento e da amostragem por acessibilidade foi aplicado um questionário com os sujeitos da pesquisa: os discentes do ICSEZ (Instituto de Ciências Sociais, Educação e Zootecnia), da Universidade Federal do Amazonas. Para análise do uso das plataformas digitais utilizamos o caso do website Sabedoria Política, que é utilizada como ferramenta de ensino e aprendizagem e administrada pelo autor da pesquisa. A importância desta pesquisa se deve ao fato de que cada vez mais as instituições de ensino devem estar atentas aos avanços tecnológicos e seus impactos na vida em sociedade, ampliando inclusive a possibilidade de criar novas metodologias que tornem o ensino criativo e atrativo para alunos e professores.
Identificando concepções de identidade docente da educação infantil em um contexto de pesquisa.
Authors: Barros Adelir
Published: August 2022

O texto apresenta o resultado de uma pesquisa de doutorado, realizada na Puc Campinas. O objeto da pesquisa foi a identidade docente, temática inserida no contexto da educação infantil, com ênfase na discussão acerca das tensões presentes nesse segmento educacional originadas das concepções de pertencimento a categoria docente, em especial, as concepções que dizem respeito a compreensão da função docente desta etapa educativa relacionada as compreensões externas a esse contexto. Compreender essas concepções nos possibilitou a elaboração do seguinte problema de investigação: em que medida as concepções externas acerca do papel da Educação Infantil e da função de seus professores têm impactado esses profissionais em seu sentimento de pertença à categoria profissional docente? Os instrumentos utilizados para compor o material empírico, que tinham como objetivo entender esse problemática, foram questionário e entrevista semiestruturada, sendo que o questionário foi realizado com pais de alunos matriculados em unidades escolares da educação infantil – creche e pré-escola -, e as entrevistas semiestruturadas com professores e diretoras desta etapa educativa e também com secretária de Educação do município escolhido para o desenvolvimento da pesquisa. A análise dos materiais revelou que a busca por reconhecimento profissional tem vinculação com o significado que os professores atribuem a sua função e condicionada à significação que a sociedade atribui à função docente.