bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variasi Makna Lafaz Al-Umm dalam Al-Qur’an
Authors: Abu Bakar Syukran , Khairudita Husna 
Published: January 2022

Tulisan ini membahas tentang lafaz al-umm yang terdapat di dalam Alquran, umumnya lafaz al-umm bermakna ibu yang melahirkan, ternyata di dalam Alquran, lafal al-umm tidak hanya bermakna ibu, lafaz al-umm bisa bervariasi maknanya jika disandarkan kepada kalimat lain, berangkat dari adanya variasi penyandaran lafaz tersebut, penulis perlu meneliti lebih dalam terkait penggunaan lafaz al-umm di dalam Alquran. Penelitian ini bersifat kepustakaan (library research), Metode penelitian yang penulis gunakan adalah metode mawḍu’i (metode tematik), dengan menggunakan pendekatan ilmu al-Wujuh wa al-Nazhair. Sumber data yang penulis rujuk adalah kitab al-mu’jam(kamus bahasa), kitab-kitab ulum Alquran, kitab-kitab tafsir,. Hasil dari penelitian ini menunjukkan bahwa lafaz al-Umm disebutkan dalam Alquran berupa lafaz tunggal, jamak dan rangkaian kata, 28 kata menunjukkan makna sosok seorang ibu dari 35 lafaz, sedangkan 7 lainnya memiliki makna tersendiri ketika disandingkan dengan kata lain, lafaz al-Umm ini tidak ada sangkut pautnya dengan waktu atau tempat diturunkannya Alquran, baik Makkiyyah maupun Madaniyyah. Adapun makna dari lafaz al-Umm selain berupa makna ibu yang mengandung, melahirkan dan menyusui, istri-istri Nabi, juga bermakna Umm al-Qura (Mekkah), Umm al-Kitab (Lauh al-Mahfuz), dan tempat kembali.
Pain in Post-Polio Syndrome: A Separate Pain Entity?
Authors: Boshuis Evert Christiaan , Melin Eva , Borg Kristian 
Published: January 2022

Background: Most patients with polio recover from the initial infection, but develop muscle weakness, pain and fatigue after 15–40 years, a condition called post-polio syndrome. Although poliovirus has been almost eliminated, 12–20 million people worldwide still have polio sequelae. The pain is described mainly as nociceptive, but some patients experience neuropathic pain. The aim of this study was to further characterize post-polio pain.
Patients and methods: A total of 20 patients with post-polio syndrome participated in the study. Physical examination was performed, and questionnaires containing pain drawing and visual analogue scales (VAS) for pain intensity during rest and motion and VAS for fatigue were completed. A walk test was performed to evaluate physical performance.
Results: Pain intensity was high (42/100 on the VAS at rest and 62/100 while moving). The pain was localized in both joints and muscles. Pain in the muscles was of “deep aching” character, included “muscle cramps” and was located mainly in polio-weakened limbs.
Conclusion: Muscle pain in patients with post-polio syndrome does not fulfil the criteria for either nociceptive or neuropathic pain; thus, it is suggested that the pain is termed “post-polio muscular pain”. The intensity of post-polio muscular pain is higher while moving, but does not influence physical function, and is separate from fatigue.
LAY ABSTRACTMost polio patients recover from the initial infection, but develop muscle weakness, pain and fatigue after 15–40 years, a condition called Post-Polio Syndrome. Though the poliovirus has almost been eliminated, 12-20 million people worldwide still have polio-equelae. The pain is mainly described as nociceptive, but some patients experience neuropathic pain. This study was undertaken to further characterize post-polio pain. We examined 20 Post-polio patients and found that the pain was localised in both joints and muscles. The pain in the muscles was of ‘deep aching’ character, included ‘muscle cramps’ and was mainly located in polio-weakened limbs. The intensity of the pain is higher while moving but does not influence the physical function. To know more about the characteristics of the pain perceived gives better possibilities for treatment and rehabilitation
The mediating effects of resilience and coping strategies on perceived threat of Covid-19 and subjective well-being among Malaysian emerging adults
Authors: Siew Yi Hang , Low Yi Lin , Wong Chin Leong , T'ng Soo Ting , Ho Khee Hoong 
Published: January 2022

The outbreak of COVID-19 has been affecting the Malaysian psychological well-being, particularly among emerging adults. They have been found to have higher vulnerability during the transitional life change. Therefore, the present study aims to examine the mediating effects of resilience and coping strategies (i.e., task-oriented coping, emotion-oriented coping, avoidance-oriented coping) on perceived threat of COVID-19 and subjective well-being (SWB) among Malaysian emerging adults. A cross-sectional online survey study was conducted for recruiting 162 participants. They were emerging adults aged between 18 to 25 years old (M = 22.51). The finding revealed that only task-oriented coping mediates the association between perceived threat of COVID-19 and SWB. However, the other hypotheses were not supported. This significant finding has widened the literature perspective of COVID-19 in the local context. Task-oriented coping is crucial to be cultivated among emerging adults for reducing the impact of the stressful situation, contributing to better psychological health.
Cartilha educativa: enfrentamento a violência contra crianças e adolescentes
Authors: Leite John Carlos de Souza , Rodrigues de Oliveira Vinícius , Socorro Vieira Lopes Maria do , Albuquerque Grayce Alencar 
Published: January 2022

Objetivou-se descrever o processo de construção de uma cartilha educativa para qualificação de Agentes Comunitários de Saúde no enfrentamento à violência doméstica contra crianças e adolescentes. Trata-se de um estudo metodológico, execultado através do levantamento de dados mediante revisão integrativa da literatura e realização de grupos focais que culminou na elaboração do material educativo. Os resultados foram apresentados e discutidos com base nas fases: I) revisão integrativa que contou com uma amostra de 15 estudos; II) grupos focais que tiveram a participação de 68 Agentes Comunitários de Saúde; III) elaboração da cartilha que levou em consideração as fases anteriores e a teoria da autoeficácia. O estudo não tem a pretensão de esgotar a abordagem sobre violência doméstica contra crianças e adolescentes, mas auxiliar no enfrentamento da mesma, através da qualificação de uma classe de profissionais de saúde atuantes na Atenção Primária à Saúde.
Solution to On-line vs On-site Work Efficiency Analysis on the Example of Engineering System Designer Work
Authors: Ņikiforova Oksana , Zabiniako Vitaly , Kornienko Jurijs , Rizhko Ruslan , Babris Kristaps , Nikulsins Vladimirs , Garkalns Pāvels , Gasparoviča-Asīte Madara 
Published: January 2022

Abstract
Day-to-day working activities have been heavily altered by COVID-19 pandemic, forcing a transition from traditional on-site work to on-line telework across the whole world. It has become much harder to efficiently organise, guide and evaluate employee’s work. There are different factors that can influence “work from home” quality, and many of these affect such work negatively. A set of relevant methods and tools should be developed which could improve this situation. The goal of the study is to summarise related background of this problem and to propose an approach to overcoming this problem. To achieve the goal, design engineer’s work is evaluated in an appropriate environment (e.g., AutoCAD, etc.) using automated analysis and visualization of IS auditing data.
Curriculum Learning for Age Estimation from Brain MRI
Authors: Asan Alican , Terzi Ramazan , Azginoglu Nuh 
Published: January 2022

Abstract
Age estimation from brain MRI has proved to be considerably helpful in early diagnosis of diseases such as Alzheimer’s and Parkinson’s. In this study, curriculum learning effect on age estimation models was measured using a brain MRI dataset consisting of normal and anomaly data. Three different strategies were selected and compared using 3D Convolutional Neural Networks as the Deep Learning architecture. The strategies were as follows: (1) model training performed only on normal data, (2) model training performed on the entire dataset, (3) model training performed on normal data first and then further training on the entire dataset as per curriculum learning. The results showed that curriculum learning improved results by 20 % compared to traditional training strategies. These results suggested that in age estimation tasks datasets consisting of anomaly data could also be utilized to improve performance.
Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features
Authors: Owusu-Boadu Bridgitte , Nti Isaac Kofi , Nyarko-Boateng Owusu , Aning Justice , Boafo Victoria 
Published: January 2022

Abstract
The academic performance of students is essential for academic progression at all levels of education. However, the availability of several cognitive and non-cognitive factors that influence students’ academic performance makes it challenging for academic authorities to use conventional analytical tools to extract hidden knowledge in educational data. Therefore, Educational Data Mining (EDM) requires computational techniques to simplify planning and determining students who might be at risk of failing or dropping from school due to academic performance, thus helping resolve student retention. The paper studies several cognitive and non-cognitive factors such as academic, demographic, social and behavioural and their effect on student academic performance using machine learning algorithms. Heterogenous lazy and eager machine learning classifiers, including Decision Tree (DT), K-Nearest-Neighbour (KNN), Artificial Neural Network (ANN), Logistic Regression (LR), Random Forest (RF), AdaBoost and Support Vector Machine (SVM) were adopted and training was performed based on k-fold (k = 10) and leave-one-out cross-validation. We evaluated their predictive performance using well-known evaluation metrics like Area under Curve (AUC), F-1 score, Precision, Accuracy, Kappa, Matthew’s correlation coefficient (MCC) and Recall. The study outcome shows that Student Absence Days (SAD) are the most significant predictor of students’ academic performance. In terms of prediction accuracy and AUC, the RF (Acc = 0.771, AUC = 0.903), LR (Acc = 0.779, AUC = 0.90) and ANN (Acc = 0.760, AUC = 0.895) outperformed all other algorithms (KNN (Acc = 0.638, AUC = 0.826), SVM (Acc = 0.727, AUC = 0.80), DT (Acc = 0.733, AUC = 0.876) and AdaBoost (Acc = 0.748, AUC = 0.808)), making them more suitable for predicting students’ academic performance.
Evaluation of Word Embedding Models in Latvian NLP Tasks Based on Publicly Available Corpora
Authors: Laucis Rolands , Jēkabsons Gints 
Published: January 2022

Abstract
Nowadays, natural language processing (NLP) is increasingly relaying on pre-trained word embeddings for use in various tasks. However, there is little research devoted to Latvian – a language that is much more morphologically complex than English. In this study, several experiments were carried out in three NLP tasks on four different methods of creating word embeddings: word2vec, fastText, Structured Skip-Gram and ngram2vec. The obtained results can serve as a baseline for future research on the Latvian language in NLP. The main conclusions are the following: First, in the part-of-speech task, using a training corpus 46 times smaller than in a previous study, the accuracy was 91.4 % (versus 98.3 % in the previous study). Second, fastText demonstrated the overall best effectiveness. Third, the best results for all methods were observed for embeddings with a dimension size of 200. Finally, word lemmatization generally did not improve results.
Fog Computing Algorithms: A Survey and Research Opportunities
Authors: Malukani Shaifali P. , Bhensdadia C. K. 
Published: January 2022

Abstract
The classic Internet of Things-Cloud Computing model faces challenges like high response latency, high bandwidth consumption, and high storage requirement with increasing velocity and volume of generated data. Fog computing offers better services to end users by bringing processing, storage, and networking closer to them. Recently, there has been significant research addressing architectural and algorithmic aspects of fog computing. In the existing literature, a systematic study of architectural designs is widely conducted for various applications. Algorithms are seldom examined. Algorithms play a crucial role in fog computing. This survey aims to performing a comparative study of existing algorithms. The study also presents a systematic classification of the current fog computing algorithms and highlights the key challenges and research issues associated with them.
Real-Time Identification from Gait Features Using Cascade Voting Method
Authors: Ercin Berk , Karacı Abdulkadir 
Published: January 2022

Abstract
There are several biometric methods for identification. These are generally classified under two main groups as physiological and behavioural biometric methods. Recently, methods using behavioural biometric features have gained popularity. Identification made using gait pattern is also one of these methods. The present study proposes a machine learning based system performing identification in real time via gait features using a Kinect device. The data set is composed of 23 individuals’ skeleton model data obtained by the authors. From these data, 147 handcrafted features have been extracted. Deep Neural Network (DNN), Random Forest (RF), Gradient Boosting (GB), XG-Boost (XGB) and K-Nearest Neighbour (KNN) classifiers have been trained with these features. Furthermore, the output of these five machine learning models has been combined with a voting approach. The highest classification has been obtained with 97.5 % accuracy via a voting approach. The classification accuracies of the RF, DNN, XGB, GB and KNN classifiers are 95 %, 87.5 %, 85 %, 80 % and 65 %, respectively. The classification accuracy obtained via a voting approach is higher than in the previous studies. The developed system successfully performs real-time identification.
Relationship between obesity and psychosocial risk factors in hypertensive patients
Authors: Nemes-Nagy Enikő , Preg Zoltán , Nyulas Kinga-Ilona , Pál Tünde , Pál Sándor , Tilinca Mariana Cornelia , Germán-Salló Márta 
Published: January 2022

Abstract

Introduction: Unhealthy lifestyle habits, including sedentary behaviour and improper diet are major risk factors for obesity. Overweight is very frequent in hypertensive and type 2 diabetic patients. Psychosocial factors are associated with multiple health behaviors related to overweight/obesity. The aim of the study was to evaluate the relationship between obesity and psychosocial risk factors in hypertensive patients having different levels of education.

Material and methods: 623 hypertensive patients, admitted to the Cardiovascular Rehabilitation Clinic in Tîrgu Mureș were evaluated by weight, height, waist circumference, laboratory analyses and psychosocial risk based on a validated questionnaire on nine topics. Non-paired Student t test was used for statistical evaluation of the obtained data.

Results: Obesity or overweight affected 86.9% of the studied hypertensive patients. Obesity was more frequent in subjects having type 2 diabetes as comorbidity. Mean BMI was significantly higher in the lower education group (p=0.007) compared to those with higher level of education. Average triglyceride and uric acid levels were significantly higher in obese subjects compared to those having lower BMI (p<0.0001). Patients living alone had significantly lower mean BMI (p=0.006) and waist circumference values (p=0.001) compared to those living with their spouse.

Conclusions: Weight excess in very frequent in the studied hypertensive patients, especially in those with type 2 diabetes as comorbidity and having lower educational level. Hypertriglyceridemia and hyperuricemia occurred more frequently in obese subjects compared to non-obese ones. Overweight is less frequent in patients living alone.
Study About How Emotional Perception of the Type of Call Affects Emergency Personnel Response
Authors: Smărăndoiu Marius , Stănilă Adriana 
Published: January 2022

Abstract
Introduction: The work of Romanian Mobile Emergency Service for Resuscitation and Extrication known as SMURD teams is highly dependent on the gravity of a call: the more critical a patient, the shorter the time of reaction is. Emergency teams develop an adapted response pattern dependent on the type of the call that jeopardize the quality of pre-hospital action.
Materials and methods: Statistical analysis of SMURD national database on a period of 3 years out of which the average ambulance time of response was calculated for different pathologies, time intervals and type of ambulances.
Results: Rescue teams speed their way to an emergency such as road accidents trauma but have a slower response for calls like unconsciousness and respiratory failure. When a cardiac arrest (dispatched as “possible cardiac arrest”) is called, the time response improves by 15%.
Conclusions: Emergency Medical Service (EMS) response pattern is built upon experience and encountered dramatic situations and not necessarily as a result of objective medical condition.
The Integrative Treatment of Schizophrenia in a Forensic Context
Authors: Schlemper Manola , Săceleanu Vicențiu 
Published: January 2022

Abstract
The Zurich psychiatrist E. Bleuler first introduced the term schizophrenia. He also pointed out the importance of the patient-doctor relationship and underlined the role of affectivity, division and turning away from reality for the psychopathology of patients suffering from schizophrenia. With this he created the cornerstone on which the integrative treatment of schizophrenia rests to this day. The complex integrative course of treatment of patients suffering from paranoid schizophrenia will be showed in a specific forensic context. In forensic treatment, the legal prognosis is of central importance. A reduction in the increased risk of recidivism for criminal offences can only be achieved if the patient’s mental health is improved and stabilized.
CEACAM1 - A Promising Biomarker for Melanoma
Authors: Chera Alexandra , Brînzea Alice 
Published: January 2022

Abstract
Malignant melanoma is the third most common skin cancer, but it also remains the most aggressive. Carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1) is a promising diagnostic and prognostic biomarker for melanoma, because its expression is important for tumour development. This review aims at highlighting the most recent discoveries regarding CEACAM1 and its correlation to the diagnosis and prognosis of malignant melanoma. National Library of Medicine (NIH) PubMed was used for selecting articles published between 2004-2021, based on their relevance and novelty. With its multiple and somewhat contradictory effects, CEACAM1 seems to influence melanoma invasion, migration, immunomodulation and tumour suppression, serving as a useful diagnostic biomarker and target for therapy. While the incidence of malignant melanoma has been increasing over the last decades without signs of prognosis improvement, it is crucial that new biomarkers for diagnosis and detection of metastatic progression are discovered, and CEACAM1 might be a viable option.
Clinical and Histopathological Aspects in Hemangiopericytoma
Authors: Horșia Dragoș 
Published: January 2022

Abstract
Described as a type of soft-tissue tumour with malignant potential, hemangiopericytoma originates at the level of the pericytes, cells located in the walls of the capillaries. Although the etiology is not completely elucidated, it seems that the genetic factor plays an important role in the appearance of this type of tumour. Several cases with autosomal recessive transmission have been described in the literature. It is a formation that can occur at any age, but is more common after the age of 40. In fact, following multiple scientific studies, it has been concluded that the average age of affected people is somewhere around 45 years, while the survival rate at 10 years is 70%. Several cases have also been described in childhood (the percentage of occurrence at this age is between 5 and 10%). The sex incidence is equal. In what follows, I thought of presenting the case of a 90-year-old male person, diagnosed with an infiltrative and vegetative tumour formation located in the cavum, which turned out to be, after the anatomopathological examination, a hemangiopericytoma.
Clinical Implication of the New Anticoagulants in Dentistry
Authors: Tataru Cristina Adriana Dahm , Cristian Alina 
Published: January 2022

Abstract
Currently, there is no validated monitoring technique for predicting bleeding risk in direct oral anticoagulant (DOAC) patients, and the dental literature is based largely on case reports and expert views. This study aims at addressing the following questions: “Should they be stopped before the procedure?” and “What is the correct protocol to follow while ingesting DOACs?” There are presently no dental treatment standards for patients using new oral anticoagulants, and bleeding management recommendations are mainly based on professional opinions and clinical observations rather than well conducted studies or laboratory results. Some of the first DOACs were rivaroxaban, apixaban, edoxaban, and dabigatran. DOACs are now being used to treat patients who were previously taking conventional anticoagulants, and as a result, more dentists will be treating DOAC patients. There is currently no validated monitoring test for estimating bleeding risk in DOAC patients, and the dental literature is primarily on case reports and expert opinions. Prior to dental treatment, it is uncertain whether the DOACs should be continued, partially discontinued for 1 day, or fully interrupted for more than 2 days.
Applications of Kinetotherapy in the Prophylaxis of Occupational Cervical Syndrome (Overloading) among Professions with a Medical Profile in The Field of Dentistry - Preliminary Study
Authors: Burcea Claudia Camelia , Costea Radu , Măru Nicoleta , Perieanu Viorel Ștefan , Bucur Mirela Veronica , Burlibașa Mihai , Milicescu Ștefan , Perieanu Mădălina Violeta , Malița Mădălina Adriana , Beuran Irina Adriana , Babiuc Iuliana , Marcov Narcis , Marcov Elena-Cristina , Drafta Sergiu 
Published: January 2022

AbstractProfessionals from different fields are exposed to myo-arto-kinetic disorders, among them those in the medical field with dental profile, respectively dentists, dental assistants and dental technicians. Given that specialists in the field of dentistry are exposed to musculoskeletal risk factors with cervical location, the purpose of this study is to provide data to contribute to an effective kinetic intervention strategy for professionals working in the field of dentistry.
Heavy Metals Accumulation in Silver Fir Needles in Swietokrzyski National Park
Authors: Kozłowski Rafał , Strzyż Małgorzata 
Published: January 2022

Abstract
The article demonstrates the results of the research studies related to the air polluted with heavy metals in the area of Swietokrzyski National Park. The two-year-old needles of Abies alba (Mill) were used as the bioindicator with the intention of carrying out the research. The studies were conducted in the autumn of 2012. The results showed the spatial variability of concentrations in the range of the analysed metal deposition patterns in the needles of Abies alba (Mill). The average content of the analysed elements seemed to be the highest in the case of zinc (26.6 mg·kg−1 d.m.), strontium (6.5 mg·kg−1 d.m.) and nickel (1.6 mg·kg−1 d.m.). The research studies revealed that the significant role in determining the content of heavy metals in the two-year-old needles was played by the communication. The highest values were recorded at the research sites situated in the immediate neighbourhood of the voivodeship roads. It was also confirmed that the content of metals was influenced by the so-called low emission from the household and welfare sector together with the remote imission.