bluuebunny/crossref_metadata_2025 huggingface dataset:
PERSEPSI MASYARAKAT DALAM PELAKSANAAN KETENTRAMAN DAN KETERTIBAN MASYARAKAT DI KECAMATAN DELI TUA KABUPATEN DELI SERDANG
Authors: Tarigan Danaria , Marbun Patar , Tarigan Eka Dwi Satya
Published: September 2020

Ketentraman dan Ketertiban masyarakat sangat penting dapat menentukan  kelancaran jalannya Pemerintahan, serta pelaksanaan dan pembangunan serta pembinaan ketentraman dalam suatu wilayah daerah sehingga tercapainya tujuan pembangunan yang diharapkan untuk kesejahteraan masyarakat. Namun, hal diatas tidak sesuai dengan keamanan yang ada di Deli Tua. Seksi Ketentraman dan Ketertiban Kecamatan belum melihatkan kinerja yang maksimal dalam program Ketentraman dan Ketertiban masyarakat. Tujuan penelitian ini adalah Untuk mengetahui Persepsi masyarakat dalam pelaksanaan ketentraman dan ketertiban oleh Seksi Ketentraman dan Ketertiban dan mengetahui Faktor- faktor apa saja yang menjadi kendala dalam pelaksanaan ketentraman dan ketertiban oleh Seksi Tramtib. Metode penelitian ini adalah metode deskriftif kuantitatif. Sampel dalam penelitian ini berjumlah 30 orang yang diambil secara accidental (kebetulan) dalam kurun waktu 5 hari kerja. Teknik analisa data dilakukan dengan tabel tunggal. Hasil penelitian Persepsi Masyarakat Terhadap Pelaksanaan Ketentraman dan Ketertiban di Kecamatan Deli Tua, dimana dari 30 Responden, dimana dengan menyatakan kategori persepsi baik sebanyak 5 responden (16,7%), persepsi cukup baik sebanyak 10 responden (33,3%) menyatakan persepsi cukup baik, dan 15 responden (50,0%) menyatakan kurang baik. Hal  tersebut dapat disimpulkan bahwa persepsi masyarakat mengenai pelaksanaan ketentraman dan ketertiban di Kecamatan Deli Tua Kurang Baik.
Peranan Pesan Dakwah di Instagram Terhadap Meningkatnya Minat Keagamaan Mahasiswa Psikologi UMA
Authors: Harahap Meliana , Siregar Nina Siti Salmaniah , Novri Novri
Published: September 2020

Tujuan dari penelitian ini adalah untuk mengetahui apakah isi pesan dakwah dalam bentuk video dan gambar yang bervariasi dari Instagram Media Sosial dapat memainkan peran dalam pengembangan individu untuk bermigrasi dan mengeksplorasi ajaran Agama Islam di kalangan UMA Siswa psikologi. Metode dalam penelitian ini menggunakan pendekatan deskriptif kualitatif melalui observasi, wawancara mendalam dan dokumentasi untuk fokus pada sikap, kontrol sosial dan norma subjektif dari pengguna Instagram. Hasil penelitian memberikan pemahaman bahwa Instagram dapat memberikan motivasi kepada informan untuk terus meningkatkan diri dan sikap teguh terutama dalam tampil dan berperilaku sesuai dengan hukum Islam, dan komitmen untuk lebih meningkatkan pengabdian kepada Allah Subhana Wa Taala. Kesimpulan yang diperoleh melalui penelitian ini bahwa peran pesan dakwah di instagram dapat mengubah persepsi informan tentang kehidupan. Sedikit banyaknya followers mereka tetap membagikan pesan-pesan dakwah. Faktor-faktor pendukung dalam berhijrah yaitu: Kesadaran diri sendiri akan hidup yang sementara dan kematian yang rahasia; Orang tua yang mendukung dan memperkenalkan nilai-nilai Islam sejak kecil; Lingkungan islami dan teman-teman terdekat yang mendukung keputusan untuk berhijrah; dan Pengajian yang diadakan di lingkungan kampus UMA serta kuatnya dukungan dari kampus dalam proses hijrah.
Curating Conflict
Authors: Atshan Sa’ed , Galor Katharina
Published: September 2020

This article compares four Jerusalem exhibits in different geographical and political contexts: at the Tower of David Museum in Jerusalem, the Palestinian Museum in Birzeit, the Metropolitan Museum of Art in New York, and the Jewish Museum Berlin. It examines the role of heritage narrative, focusing specifically on the question of the Israeli-Palestinian conflict, which is either openly engaged or alternatively avoided. In this regard, we specifically highlight the asymmetric power dynamics as a result of Israel’s occupation of East Jerusalem, and how this political reality is addressed or avoided in the respective exhibits. Finally, we explore the agency of curators in shaping knowledge and perspective and study the role of the visitors community. We argue that the differences in approaches to exhibiting the city’s cultural heritage reveals how museums are central sites for the politics of the human gaze, where significant decisions are made regarding inclusion and exclusion of conflict.
Racialized Governance
Authors: Ystanes Margit , Magalhães Alexandre
Published: September 2020

Based on ethnographic fieldwork, this article explores the eviction of residents from Vila Autódromo, a neighborhood that was decimated as Rio de Janeiro prepared to host the 2016 Summer Olympics. Inspired by Achille Mbembe’s notion of “necropolitics” and Mindy Fullilove’s concept of “root shock,” we argue that forced evictions in Rio constitute a form of racialized governance. The authorities exclude favela residents from the citizenry security interventions are intended to protect and conceptualize them instead as security risks. This exclusion reflects the spatial expression of racial hierarchies in the city and produces a public security governance that in the case of Vila Autódromo terrorized residents and destroyed life conditions in their community. Racialized governance therefore exacerbates insecurity for large parts of the population.
An Intention to Select Entrepreneurship as a Career Choice: A Case of Undergraduate Students Enrolled in Entrepreneurship Programs
Authors: Qureshi Shahid , Amin Misbah , Mustafa Abdullah
Published: September 2020

This paper examines the entrepreneurial orientation amongst the students acquiring entrepreneurial education at center for entrepreneurial development at IBA Karachi. This research contributes to the literature through its theoretical model, which tests entrepreneurial intention of undergraduate students through Smart PLS 3.0. A quantitative research method has been adopted. Entrepreneurial skills & competencies and entrepreneurial knowledge are taken as independent variables. Entrepreneurial career option is dependent variable. Effectuation is taken as a mediating variable. The model has been applied on a sample of 250 undergraduate students, who enrolled in different entrepreneurship programs of Karachi (Example: Science and Technology Entrepreneurship Program (STEP) and International Entrepreneurship Winter School (IEWS) at IBA CED. The results of the study showed that effectuation significantly mediates the association between entrepreneurial skills & competencies and entrepreneurial career option. The study affirms that effectuation is a mediator in the association between entrepreneurial knowledge & awareness and entrepreneurial career option. The implications of this research will be helpful for academicians, research scholars and policy makers, working in the entrepreneurial development sector. The research will contribute to the existing literature through the entrepreneurship model
Assessing Psychometrics of Goal Orientation Scale in Pakistani Context
Authors: Ahmad Iqbal , Shah M. Anees ul Husnain , Saeed Muhammad
Published: September 2020

Goal orientation has been tested all over the world. However, the present study was conducted to validate the Goal Orientation Scale in Pakistan. A total of 141 students from two Pakistani public sector universities participated. A cross validation procedure based on factor analysis was adopted to analyze the collected data. The study was conducted in two stages. During the first stage, Exploratory Factor Analysis (EFA) was performed to assess the four-factor structure. In the second stage, the hypothesized four-factor model was assessed by using Confirmatory Factor Analysis (CFA). The results supported the four-factor model consisting of task orientation, self-enhancing orientation, self-defeating orientation and avoidance orientation. Reliability and validity estimates confirmed the adequacy of GOS as a reliable and valid scale for measuring goal orientation of students in the higher education context of Pakistan. Further research is recommended to test the scale in other fields for getting more robust results.
Mutagen treatment affects the regeneration efficiency of the shoot-tip explant in Celosia cristate L. (Cockscomb)
Authors: Badere Rupesh S. , Rinkey Pallavi K.
Published: September 2020

The shoot-tip explant harvested from ethyl methane sulphonate (EMS) and gamma ray (GR) mutagenized seedling was cultured over MS medium fortified with NAA and BAP for five generations to amplify the mutated sector. Mutagens reduced the regeneration efficiency of the explant and affected its plant growth regulator-dependence for multiple shoot induction. While the 12d-old shoot-tip from GR-treated seedling induced shoots with 0.5µM NAA+6.6µM BAP; that from EMS-treated seedling induced shoots with 8.8µM BAP. The present study establishes that the mutagens affect the regeneration process in the explant.
Mortality among immigrant patients 20–45 years of age with chronic back pain in primary care in Sweden: A 15-year follow-up cohort study
Authors: Löfvander Monica , Rosenblad Andreas
Published: September 2020

BACKGROUND: Mortality rates among immigrant patients undergoing rehabilitation for musculoskeletal backache are unknown. OBJECTIVE: To study the association between marital status, severe psychosocial strain, receiving long-term time-limited sickness allowance (TLSA) and all-cause mortality (ACM) in a cohort of immigrants aged 20–45 years with long-standing backache in Sweden. METHODS: We studied 318 patients (92% foreign-born, 76% non-European) of known marital status on sick-leave for musculoskeletal backache. They were followed up for ACM until 2015. Socio-demographic data, TLSA and psychosocial strain, including major depression, severe psychosocial stressors and pessimistic thoughts, were analysed using multiple-imputation Cox regression. RESULTS: Over a mean (standard deviation) follow-up time of 15 (5.0) years, 11 (3.5%) participants died. At baseline, 34% were unmarried, 19% were receiving TLSA, and 71% had ⩾ 1 psychosocial strain component (38% depression; 47% severe stressors; 35% pessimistic thoughts). After concomitant risk factors were adjusted for, being unmarried and receiving TLSA were associated with higher mortality by factors of 6.2 (p= 0.005) and 5.8 (p= 0.006), respectively. Psychosocial strain was only significantly associated with higher mortality in the unadjusted analyses. CONCLUSIONS: Being unmarried and receiving TLSA were associated with significantly higher ACM in this highly marginalized group of immigrant patients.
Immediate changes in trunk muscle activation patterns during a lifting task following an abdominal drawing-in exercise in subjects with recurrent low back pain
Authors: Suehiro Tadanobu , Ishida Hiroshi , Kobara Kenichi , Osaka Hiroshi , Kurozumi Chiharu , Watanabe Susumu
Published: September 2020

BACKGROUND: The abdominal drawing-in exercise could help improve delayed transversus abdominis (TrA) activation during limb movement in subjects with recurrent low back pain (rLBP). However, little is known about whether the same effect is observed during lifting tasks in subjects with rLBP. OBJECTIVE: This study aimed to clarify whether a single session of abdominal drawing-in exercise could correct the altered trunk muscle activation patterns during a lifting task in subjects with rLBP. METHODS: Fifteen subjects with rLBP performed lifting tasks before and immediately after three sets of 10 repetitions of isolated TrA voluntary contractions. The time of onset and activation amplitude during the lifting tasks were measured by surface electromyography (EMG) and compared between the trials before and immediately after exercise. RESULTS: During lifting, the onset of internal abdominal oblique/TrA (IO/TrA) and multifidus activation occurred earlier, the EMG amplitude of IO/TrA increased, and the EMG amplitude of erector spinae and multifidus decreased, compared with the pre-exercise data. CONCLUSIONS: These results suggest a possibility that the abdominal drawing-in exercise might be effective in improving the muscle recruitment pattern in people with rLBP.
An 18-month follow-up study on the effect of a neuromuscular stabilization technique on Cobb’s angle in adolescent idiopathic scoliosis: A single-blind, age-matched controlled trial
Authors: Won Sang-Hee , Oh Duck-Won , Shen Min
Published: September 2020

BACKGROUND: The benefits of spinal realignment and stabilization in scoliosis need to be examined. OBJECTIVE: We aimed to investigate the long-term effect of a neuromuscular stabilization technique (NST) on Cobb’s angle in patients with adolescent idiopathic scoliosis. METHODS: Twenty females recruited from two hospitals participated in this study. On the basis of convenience of location, participants were allocated to either the experimental group (EG) that underwent the NST, or the control group (CG) that received education for a home exercise program. The NST for the EG was performed for an average of 30 min per session, three times a week for six months, and consisted of spinal realignment and stabilization. Then, 12- and 18-month measurements for long-term follow-ups were conducted for the EG. The outcome measure was Cobb’s angle. RESULTS: Between-group comparison revealed a statistically significant difference at post-test (t=-3.26, p< 0.01) but not pre-test (t=-1.36, p= 0.19). Participants of the EG (-6.20 ± 2.49∘) showed greater differences between pre- and post-test scores compared to participants of the CG (-1.40 ± 0.52∘) (p< 0.05). Within-group comparisons showed a significant difference in both groups (p< 0.05). In the EG, Cobb’s angle significantly changed across the follow-up sessions (p< 0.05), indicating more improvements by the 12-month (8.50 ± 4.03∘) and 18-month (6.60 ± 3.89∘) follow-ups. CONCLUSION: This study shows that the NST may be a beneficial option to correct spinal alignments in patients with adolescent idiopathic scoliosis.
First evaluation of Neighbor of Punc E11 (NOPE) as a novel marker in human hepatocellular carcinoma
Authors: Zweerink Susanne , Mesghenna Senait , Mueck Vera , Schulte Sigrid , Kuetting Fabian , Quaas Alexander , Goeser Tobias , Nierhoff Dirk
Published: September 2020

BACKGROUND: Hepatocellular carcinoma (HCC) is the second most common cause of cancer death worldwide and the search for clinically useful biomarkers is ongoing. Neighbor of Punc E11 (NOPE) is an established biomarker of murine HCC that remains undetectable in normal liver and at preneoplastic stages. OBJECTIVE: The aim of our study was to evaluate the presence of NOPE in human HCC. METHODS: Histologically confirmed HCC and corresponding non-tumor liver samples from 20 patients were analyzed for expression of NOPE using qRT-PCR and mRNA-in-situ technology in a conserved tissue context. RESULTS: In our cohort, 30% of HCC samples were expressing NOPE which proved particularly useful in non-cirrhotic HCC samples with up to 155-fold higher expression than in adult liver. Using mRNA-in-situ technology, NOPE was clearly identified within epithelial tumor cells of NOPE positive human HCCs. In our analyzed cohort, the combination of AFP with NOPE did not reach more than 40% sensitivity while GPC-3 and NOPE were complementary to each other reaching a combined sensitivity of 85.7%. CONCLUSIONS: This is the first characterization of NOPE as a potential biomarker for human HCC. Our results underline the value of NOPE as a complementing biomarker for human HCC.
Role of pretreatment inflammatory indicators in pediatric acute leukemias; where do we stand? A prospective cohort study
Authors: Zahran Asmaa M. , Riad Khalid F. , Elsayh Khalid I. , Elmasry Heba M. , Rayan Amal
Published: September 2020

BACKGROUND AND AIM: There is a limited data at the moment regarding the clinical value of inflammatory indices and malnutrition markers in children with acute leukemias. We have examined the usefulness of prognostic nutritional index (PNI), Glasgow prognostic score (GPS), Prognostic Index (PI), monocyte to lymphocyte (MLR), neutrophil to lymphocyte (NLR), and platelet to lymphocyte (PLR) ratios to stratify patients as regards the response to induction therapy correlating them to different prognostic factors. PATIENTS AND METHODS: Children with acute leukemia and without microbial-induced inflammation at the time of diagnosis were prospectively recruited. Preliminary total and differential CBC, c-reactive protein (CRP), serum albumin (ALB) were used to calculate different inflammatory indicators including NLR, MLR, PLR, PNI, GPS, and PI. RESULTS: Higher PNI was significantly more associated to children who achieved remission as compared to those without remission (p< 0.0001). Patients without remission had GPS 1 or 2 compared to GPS 0 or 1 in those who entered remission (p= 0.001). NLR was significantly lower in patients in remission than in those without remission (p= 0.005). Similarly, complete remission was significantly associated to MLR ⩽ 0.45 as compared to MLR > 0.45 (p< 0.0001). CONCLUSION: Pretreatment PNI, GPS, CRP, serum albumin, NLR, MLR, and PLR are remission promising prognostic markers in pediatric acute leukemias, which deserve to be further investigated in large-scale studies.
Creation of Language Resources for the Development of a Medical Speech Recognition System for Latvian
Authors: Darģis Roberts , Grūzītis Normunds , Auzin̦a Ilze , Stepanovs Kaspars
Published: September 2020

This paper describes an ongoing work on the creation of Latvian language resources for the medical domain focusing on digital imaging to develop a medical speech recognition system for Latvian. The language resources include a pronunciation lexicon, a text corpus for language modelling, and an orthographically transcribed speech corpus for the (i) adaptation of the acoustic model, (ii) evaluation of the speech recognition accuracy, (iii) development and testing of rewrite rules for automatic text conversion to the spoken form and back to the written form. This work is part of a larger industry-driven research project which aims at the development of specific Latvian speech recognition systems for the medical domain.
Lexicon-Enhanced Neural Lemmatization for Estonian
Authors: Milintsevich Kirill , Sirts Kairit
Published: September 2020

We propose a novel approach for Estonian lemmatization that enriches the seq2seq neural lemmatization model with lemma candidates generated by the rule-based VABAMORF morphological analyser. In this way, the neural decoder can benefit from the additional input considering that it has a high likelihood of including the correct lemma. We develop our model by stacking two interconnected layers of attention in the decoder—one attending to the input word and another to the candidates obtained from the morphological analyser. We show that the lexicon-enhanced model achieves statistically significant improvements in lemmatization compared to baseline models not utilizing additional lemma information and achieves a new best result on lemmatization on the Estonian UD test set.
What Can We Learn from Almost a Decade of Food Tweets
Authors: Sproģis Uga , Rikters Matīss
Published: September 2020

We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse the contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and sentiment-analysis models using the data from the corpus.
Morfio – A Corpus-Based Perspective on Latvian Morphology
Authors: Škrabal Michal , Vondřička Pavel , Cvrček Václav
Published: September 2020

Our paper introduces Morfio, a corpus-based online tool for the study of derivation and morphological productivity. Originally, Morfio was created for Czech, in this paper, however, we would like to introduce its Latvian implementation. Apart from the tool description, we want to showcase its possibilities for describing Latvian morphology by way of several examples.
Quantitative Analysis of Language Competence vs. Performance in Russian- and Lithuanian-Speaking 6 Year-Olds
Authors: Balčiūnienė Ingrida , Kornev Aleksandr N.
Published: September 2020

The paper deals with a comparative analysis of the Part-of-Speech Profile between different languages and discourse genres in 6-year-old typically developing Russian- vs. Lithuanian-speaking children. Results of the study inspire a discussion on a possibility to evaluate both language competence and language performance of the same subject on the basis of his/her distribution of parts of speech in the discourse.
Detailed Error Annotation for Morphologically Rich Languages: Latvian Use Case
Authors: Darģis Roberts , Auzin̦a Ilze , Levāne-Petrova Kristīne , Kaija Inga
Published: September 2020

This paper presents a detailed error annotation for morphologically rich languages. The described approach is used to create Latvian Language Learner corpus (LaVA) which is part of a currently ongoing project Development of Learner corpus of Latvian: methods, tools and applications. There is no need for an advanced multi-token error annotation schema, because error annotated texts are written by beginner level (A1 and A2) who use simple syntactic structures. This schema focuses on in-depth categorization of spelling and word formation errors. The annotation schema will work best for languages with relatively free word order and rich morphology.
ActorNode2Vec: An Actor-based solution for Node Embedding over large networks
Authors: Lombardo Gianfranco , Poggi Agostino
Published: September 2020

The application of Machine Learning techniques over networks, such as prediction tasks over nodes and edges, is becoming often crucial in the analysis of Complex systems in a wide range of research fields. One of the enabling technologies in that sense is represented by Node Embedding, which enables us to learn features automatically over the network. Among the different approaches proposed in the literature, the most promising are DeepWalk and Node2Vec, where the embedding is computed by combining random walks and neural language models. However, characteristic limitations with these techniques are related to memory requirements and time complexity. In this paper, we propose a distributed and scalable solution, named ActorNode2vec, that keeps the best advantages of Node2Vec and overcomes the limitations with the adoption of the actor model to distribute the computational load. We demonstrate the efficacy of this approach with a large network by analyzing the sensitivity of walk length and number of walks parameters and make a comparison also with Deep walk and an Apache Spark distributed implementation of Node2Vec. Results show that with ActorNode2vec computational times are drastically reduced without losing embedding quality and overcoming memory issues.
Eliciting cities points of interest from people movements and suggesting effective itineraries
Authors: Cavallaro Claudia , Verga Gabriella , Tramontana Emiliano , Muscato Orazio
Published: September 2020

When a person visits an unknown large city having multiple interesting locations, it is not so easy for him to find one location that is lively and convenient to visit in a given time-frame. To overcome such a problem, this paper proposes to make use of two technologies: smartphones, equipped with sensors for reading GPS coordinates; and multi-agent systems, providing assistance to users and gathering collective knowledge. Data collected by means of devices are analysed and organised in such a way to find locations that could be of immediate interest to people. Proposed agents gather opinions from several users, in terms of scores quantifying the level of satisfaction on visiting some place on a given time-frame. While gathering such an opinion, a solution is put into place to preserve user privacy (his location). Suggestions are made to potentially interested users by selecting for them locations according to closeness and satisfaction scores. In this approach, interesting locations emerge from the analysis of data gathered, hence scores and suggestions can be available for any large city in any place, provided that enough people hand data to the system. Moreover, such places are found dynamically according to people behaviour and preferences.
Trust and autonomy for regulating the users’ acceptance of IoT technologies
Authors: Falcone Rino , Sapienza Alessandro
Published: September 2020

The success of IoT technologies is undeniable. They are entering more and more in our lives, carrying out increasingly complex tasks. However, there are still a few problems we need to face and solve. For instance, it is not given that the users will be prepared to afford all the automation that IoT devices will offer or that it will be compatible with the users’ cognitive attitudes and its actual and real goals. Within this work, we start analyzing which reasons undermine the acceptance of IoT systems and then we propose a possible solution, tanking into account not just the user-device interaction, but also how this affects the device-device interaction. Since the complexity of the tasks the user asks may require the cooperation of some devices to be realized, the regulation of this relationship represents a necessary step for this technology. The first contribution of this work is the level characterization of the autonomy a user can grant to an IoT device. The second contribution is a theoretical model to deal with users and to stimulate users’ acceptance, taking also into account a possible, collaborative organizational structure, to manage the creation of groups and the partners’ selection process.
The agency of algorithms: Understanding human-algorithm interaction in administrative decision-making
Authors: Peeters Rik
Published: September 2020

With the rise of computer algorithms in administrative decision-making, concerns are voiced about their lack of transparency and discretionary space for human decision-makers. However, calls to ‘keep humans in the loop’ may be moot points if we fail to understand how algorithms impact human decision-making and how algorithmic design impacts the practical possibilities for transparency and human discretion. Through a review of recent academic literature, three algorithmic design variables that determine the preconditions for human transparency and discretion and four main sources of variation in ‘human-algorithm interaction’ are identified. The article makes two contributions. First, the existing evidence is analysed and organized to demonstrate that, by working upon behavioural mechanisms of decision-making, the agency of algorithms extends beyond their computer code and can profoundly impact human behaviour and decision-making. Second, a research agenda for studying how computer algorithms affect administrative decision-making is proposed.
Data mining and social networks processing method based on support vector machine and k-nearest neighbor
Authors: Lu Youli , Li Jintong , Yang Zhihe , Ou Xianfeng , Xie Wenwu
Published: September 2020

OBJECTIVE: With Sina Weibo data as the background, support vector machine (SVM) and k-nearest neighbor (KNN) method are used to predict and analyze the user’s micro-blog emotion and related behavior in social network, hoping to obtain rich potential business value. METHODS: First, the API interface of Sina Weibo is utilized to obtain the information of users in Sina Weibo; then, the Excel software is utilized to sort and analyze the extracted data to extract the features of micro- blogs posted by users. Second, SVM and KNN algorithms are utilized to calculate the weighted average and propose a hybrid multi-classifier-based Mixed Classifier Emotion Prediction Model (MCEPM). Finally, through the evaluation criteria, including precision (P), recall rate (R), and harmonic average (F1), the specific experimental results of SVM and KNN weight coefficients are compared with the prediction results of MCEPM. RESULTS: The prediction effect of MCEPM is associated with the weight coefficients of SVM and KNN. If the weight coefficients of SVM and KNN are 0.6 and 0.4, the prediction effect of MCEPM will be optimal. Comprehensive analysis shows that the MCEPM model can balance the prediction results of the positive and negative samples of the two classifiers. CONCLUSION: MCEPM model is superior to other algorithms in micro-blog emotion prediction, which can help enterprises analyze users’ product inclination and provide accurate customer service requirements for enterprises.
Orphan Peripheral Neuropathies
Authors: Finsterer Josef , Löscher Wolfgang N. , Wanschitz Julia , Iglseder Stefan
Published: September 2020

Objectives:

Generally, neuropathies of peripheral nerves are a frequent condition (prevalence 2–3%) and most frequently due to alcoholism, diabetes, renal insufficiency, malignancy, toxins, or drugs. However, the vast majority of neuropathies has orphan status. This review focuses on the etiology, frequency, diagnosis, and treatment of orphan neuropathies.

Methods:

Literature review

Results:

Rareness of diseases is not uniformly defined but in the US an orphan disease is diagnosed if the prevalence is <1:200000, in Europe if <5:10000. Most acquired and hereditary neuropathies are orphan diseases. Often the causative variant has been reported only in a single patient or family, particularly the ones that are newly detected (e.g. SEPT9, SORD). Among the complex neuropathies (hereditary multisystem disorders with concomitant neuropathies) orphan forms have been reported among mitochondrial disorders (e.g. NARP, MNGIE, SANDO), spinocerebellar ataxias (e.g. TMEM240), hereditary spastic paraplegias (e.g UBAP1), lysosomal storage disease (e.g. Schindler disease), peroxisomal disorders, porphyrias, and other types (e.g. giant axonal neuropathy, Tangier disease). Orphan acquired neuropathies include the metabolic neuropathies (e.g. vitamin-B1, folic acid), toxic neuropathies (e.g. copper, lithium, lead, arsenic, thallium, mercury), infectious neuropathies, immune-mediated (e.g. Bruns-Garland syndrome), and neoplastic/paraneoplastic neuropathies.

Conclusions:

Though orphan neuropathies are rare per definition they constitute the majority of neuropathies and should be considered as some of them are easy to identify and potentially treatable, as clarification of the underlying cause may contribute to the knowledge about etiology and pathophysiology of these conditions, and as the true prevalence may become obvious only if all ever diagnosed cases are reported.
Renal cystic diseases during the perinatal and neonatal period
Authors: Raina R. , DeCoy M. , Chakraborty R. , Mahajan S. , Moran R. , Gibson K. , Kumar D. , Bergmann C.
Published: September 2020

Renal cystic diseases are a clinically and genetically diverse group of renal diseases that can manifest in utero, infancy, or throughout childhood and adulthood. These diseases may be unilateral or bilateral with a single cyst or multiple cysts, or with increased echogenicity of the renal cortex without macroscopic cysts. Certain cystic renal diseases are life-threatening, with many developing chronic kidney and hepatic disease if not recognized early enough. Therefore, due to the prevalence and life-altering complications of this specific group of diseases in vulnerable populations, it is crucial for clinicians and healthcare providers to have an overall understanding of cystic diseases and how to pre-emptively detect and manage these conditions. In this review, we discuss in detail the epidemiology, genetics and pathophysiology, diagnosis, presentation, and management of numerous genetic and sporadic renal cystic diseases, such as polycystic kidney disease, multicystic dysplastic kidney, and calyceal diverticula, with an emphasis on prenatal care and pregnancy counseling.
Post-traumatic cephalalgia
Authors: Dwyer Brigid , Zasler Nathan
Published: September 2020

After traumatic brain injury (TBI), a host of symptoms of varying severity and associated functional impairment may occur. One of the most commonly encountered and challenging to treat are the post-traumatic cephalalgias. Post-traumatic cephalalgia (PTC) or headache is often conceptualized as a single entity as currently classified using the ICHD-3. Yet, the terminology applicable to the major primary, non-traumatic, headache disorders such as migraine, tension headache, and cervicogenic headache are often used to specify the specific type of headache the patients experiences seemingly disparate from the unitary definition of post-traumatic headache adopted by ICHD-3. More complex post-traumatic presentations attributable to brain injury as well as other headache conditions are important to consider as well as other causes such as medication overuse headache and medication induced headache. Treatment of any post-traumatic cephalalgia must be optimized by understanding that there may be more than one headache pain generator, that comorbid traumatic problems may contribute to the pain presentation and that pre-existing conditions could impact both symptom complaint, clinical presentation and recovery. Any treatment for PTC must harmonize with ongoing medical and psychosocial aspects of recovery.
Technology usage and barriers to the use of behavioral intervention technologies in adolescents and young adults with spina bifida
Authors: Stiles-Shields Colleen , Anderson Lara , Driscoll Colleen F. Bechtel , Ohanian Diana M. , Starnes Meredith , Stern Alexa , Yunez Jessica , Holmbeck Grayson N.
Published: September 2020

PURPOSE: The majority of behavioral intervention technologies (BITs) have been designed and targeted towards the general population (i.e., typically-developing individuals); thus, little is known about the use of BITs to aid those with special needs, such as youth with disabilities. The current study assessed adolescents and young adults with spina bifida (AYA-SB) for: 1) their technology usage, and 2) anticipated barriers to using technology to help manage their health. METHODS: AYA-SB completed a survey of their media and technology usage. A card sorting task that ranked and grouped anticipated barriers to using a mobile app to manage health was also completed. Ranked means, standard deviations, and the number of times a barrier was discarded were used to interpret sample rankings. RESULTS: AYA-SB reported less frequent technology and media use than the general population. However, differences emerged by age, with young adults endorsing higher usage than their younger counterparts. Top concerns focused on usability, accessibility, safety, personal barriers due to lack of engagement, technological functioning, privacy, and efficacy. CONCLUSIONS: AYA-SB appear to be selective users of technology. It is therefore critical that the design of BITs address their concerns, specifically aiming to have high usability, accessibility, and engagement.
Preface to the special issue for the guidelines for the care of people with spina bifida
Authors: Dicianno Brad E. , Dosa Nienke , Beierwaltes Patricia
Published: September 2020

“Guidelines for the Care of People with Spina Bifida” provide the best, most up-to-date recommendations for care across the lifespan, from newborn to adult. This special issue of the Journal of Pediatric Rehabilitation Medicine is a collection of key sections of the 2018 Guidelines. The sections of the Guidelines published herein have been expanded from their original format to include more background information about key topics and why they are important in the care of people with SB. It is the hope of SBA that these and future Guidelines will promote and standardize best practice regardless of the characteristics of individuals with SB or where their care was received. It is through providing better care that we will ultimately achieve a better future for all those living with SB.
Visual recovery following optic nerve crush in male and female wild-type and TRIF-deficient mice
Authors: Du Yimeng Lina , Sergeeva Elena G. , Stein Donald G.
Published: September 2020

Background:

There is growing evidence that the TIR-domain-containing adapter-inducing interferon-β (TRIF) pathway is implicated in the modulation of neuroinflammation following injuries to the brain and retina. After exposure to injury or to excitotoxic pathogens, toll-like receptors (TLR) activate the innate immune system signaling cascade and stimulate the release of inflammatory cytokines. Inhibition of the TLR4 receptor has been shown to enhance retinal ganglion cell (RGC) survival in optic nerve crush (ONC) and in ischemic injury to other parts of the brain.

Objective:

Based on this evidence, we tested the hypothesis that mice with the TRIF gene knocked out (TKO) will demonstrate decreased inflammatory responses and greater functional recovery after ONC.

Methods:

Four experimental groups –TKO ONC (12 males and 8 females), WT ONC (10 males and 8 females), TKO sham (9 males and 5 females), and WT sham (7 males and 5 females) –were used as subjects. Visual evoked potentials (VEP) were recorded in the left and right primary visual cortices and optomotor response were assessed in all mice at 14, 30, and 80 days after ONC. GFAP and Iba-1 were used as markers for astrocytes and microglial cells respectively at 7 days after ONC, along with NF-kB to measure inflammatory effects downstream of TRIF activation; RMPBS marker was used to visualize RGC survival and GAP-43 was used as a marker of regenerating optic nerve axons at 30 days after ONC.

Results:

We found reduced inflammatory response in the retina at 7 days post-ONC, less RGC loss and greater axonal regeneration 30 days post-ONC, and better recovery of visual function 80 days post-ONC in TKO mice compared to WT mice.

Conclusions:

Our study showed that the TRIF pathway is involved in post-ONC inflammatory response and gliosis and that deletion of TRIF induces better RGC survival and regeneration and better functional recovery in mice. Our results suggest the TRIF pathway as a potential therapeutic target for reducing the inflammatory damage caused by nervous system injury.
Non-invasive fetal ECG extraction using discrete wavelet transform recursive inverse adaptive algorithm
Authors: Al-Sheikh Bahaa , Salman Mohammad Shukri , Eleyan Alaa , Alboon Shadi
Published: September 2020

BACKGROUND: Fetal heart activity adds significant information about the status of the fetus health. Early diagnosis of issues in the heart before delivery allows early intervention and significantly improves the treatment. OBJECTIVE: This paper presents a new adaptive filtering algorithm for fetal electrocardiogram (FECG) extraction from the maternal abdominal signal, known in literature as abdominal electrocardiogram (AECG) signal. Fetal QRS complex waves will be identified and extracted accurately for fetal health care and monitoring purposes. METHODS: We use discrete wavelet transform recursive inverse (DWT-RI) adaptive filtering algorithm for this objective. Thoracic maternal electrocardiogram (MECG) is used as a reference in the proposed algorithm and FECG components are extracted from AECG signal after suppressing the MECG projections. The proposed algorithm is compared to other typical adaptive filtering algorithms, least mean squares (LMS), recursive least squares (RLS), and recursive inverse (RI). RESULTS: Fetal QRS waveforms successful identification and extraction from AECG signal is evaluated objectively and visually and compared to other algorithms. We validated the proposed algorithm using both synthetic data and real clinical data. CONCLUSIONS: The proposed algorithm is capable of extracting fetal QRS waveforms successfully from AECG and outperforms other adaptive filtering algorithms in terms of accuracy and positive predictivity.
Assessing ergonomic risk factors using combined data envelopment analysis and conventional methods for an auto parts manufacturer
Authors: Mahboobi Maryam , Taghipour Mohammad , Ali Azadeh Mohammad
Published: September 2020

BACKGROUND: Occupational injuries are currently a major contributor to job loss around the world and are also costly for businesses. The absence of rational analysis is felt in this area, so mathematical analysis is needed to obtain the logical results of these injuries in order to find gaps or loss points of the industry. OBJECTIVE: This paper assesses the effects of five demographic factors on ergonomic risk and occupational injuries using an integrated mathematical programming approach. The obtained results will help managers to carry out any required corrective actions or establish benchmarks. METHODS: Two typical ergonomic risk assessment methods, the Quick Exposure Check (QEC) and Rapid Entire Body Assessment (REBA), are applied to assess musculoskeletal disorders in workers. Then, considering the five demographic factors as input variables and risks computed by the QEC and REBA methods as outputs, final risk rates for each decision-making unit (DMU) are calculated using data envelopment analysis (DEA). The importance and weight of each risk factor is analyzed using statistical techniques and analysis of variance (ANOVA). To demonstrate the applicability of the methodology, it is applied to a large auto parts manufacturer. RESULTS: The results revealed that the information obtained by DEA is consistent with those for REBA and QEC, which shows that education, experience and weight are factors that could help reduce ergonomic risks. CONCLUSION: It is shown that demographic variables such as age, height, weight, education and work experience play an important and effective role in the explanation of ergonomic risk factors.
Universal safety and design: Transition from universal design to a new philosophy
Authors: Kim Jun Sik , Jeong Byung Yong
Published: September 2020

BACKGROUND: The philosophy of universal design contributes to providing age-friendly products and environments in the ageing society. OBJECTIVE: The purpose of this study is to establish the philosophy of universal safety and design to ensure the safety and health of product users and production workers. METHODS: The concept and principles of universal safety and design are developed based on the limitations of universal design and the necessity of a new philosophy. RESULTS: Requirements of physical support, flexibility, accessibility, ensuring safety and health, diversity and inclusion, and sustainability are proposed for implementing the universal safety and design philosophy. Also, the guidelines for applying the universal safety and design philosophy are presented. CONCLUSIONS: The principles presented in this study can be applied to reduce incidents and ensure productivity in customers and production workers by helping them to work efficiently, comfortably, and safely.
Electromechanical rolling whiteboard for improving posture and comfort of users in classrooms
Authors: Khosravi Zahra , Razeghi Mohsen , Choobineh Alireza , Ghaem Haleh
Published: September 2020

BACKGROUND: The prevalence of musculoskeletal disorders is high among teachers. Poor posture when writing on whiteboards is considered among the important causes of these disorders. OBJECTIVE: The present study aimed to evaluate an electromechanical rolling whiteboard for educational environments as an ergonomic intervention. METHODS: Thirty university lecturers volunteered to take part in the study. Participants performed a 5-minute writing task on a regular board and on the newly modified whiteboard in random order. The comfort and effectiveness of the boards and the perceived physical effort and posture of the participants were evaluated and compared by applying the verbal rating scale, Borg’s rating of physical exertion scale, and rapid entire body assessment, respectively. RESULTS: A total of 83.2% of participants reported the new whiteboard to be comfortable or more comfortable to use than the regular whiteboard, and 76.6% of them found the new whiteboard to be higher or much higher in effectiveness and usefulness in comparison with the regular whiteboard. The comfort and posture ratings revealed that exertion was significantly less and posture improved while writing on the new board as compared to its counterpart (p < 0.0001). CONCLUSION: The new whiteboard increased user comfort, reduced physical effort, and improved posture, hopefully leading to a decreased number of work-related musculoskeletal disorders.
APLIKASI PENGOLAHAN DATA SURAT MASUK DAN SURAT KELUAR PADA DINAS KOPERASI, UKM DAN PENANAMAN MODAL PROVINSI SUMATERA SELATAN
Authors: Haryanto Dedi
Published: September 2020

Penelitian ini bertujuan untuk mempermudah pengelolaan surat masuk dan keluar, serta untuk meningkatkan kualitas pengelolaan dalam pengelolaan surat masuk dan keluar supaya mengikuti perkembangan zaman sekarang, yang serba digital. Di Sekretariat Kantor Dinas Koperasi,  UKM  Dan  Penanaman  Modal  Provinsi  Sumatera  Selatan. Penelitian ini merupakan penelitian yang menggunakan metode pengumpulan data dengan cara observasi, interview dan pustaka. Dari hasil penelitian ini diharapkan mampu membantu pengelolaan surat masuk dan keluar di Kantor Dinas Koperasi,  UKM  Dan  Penanaman  Modal  Provinsi  Sumatera  Selatan. Karena pengelolaan surat masih secara manual. Dengan adanya aplikasi pengelolaan surat masuk dan keluar bisa lebih ringkas dan praktis serta mempermudah dalam penyimpanan data surat-surat.
Pengaruh Self Image Congruence, Luxury Value Dan Product Attribute Terhadap Repurchase Intention Melalui Satisfaction Sebagai Variabel Intervening
Authors: Safitri Lusiana , Riptiono Sulis
Published: September 2020

Penelitian ini bertujuan untuk menganalisis pengaruh self image congruence, luxury value, dan product attribute terhadap repurchase intention melalui satisfaction sebagai variabel intervening pada pengguna smartphone Vivo keluaran tahun 2018-2019 di Kabupaten Kebumen. Target populasi pada penelitian ini adalah masyarakat di Kabupaten Kebumen yang menggunakan smartphone Vivo keluaran tahun 2018-2019 dengan jumlah sampel 100 responden. Penelitian ini menggunakan metode analisis deskriptif dan statsistika dengan metode nonprobability sampling dan jenis tekniknya yaitu purposive sampling. Berdasarkan metode statistika dilakukan uji validitas, uji reliabilitas, uji asumsi klasik (uji multikolinieritas, uji heterokedastisitas, dan uji normalitas), uji t, uji koefisien determinasi, analisis jalur, dan uji sobel. Hasil penelitian ini menunjukkan bahwa berdasarkan uji validitas dan uji reliabilitas semua variabel dinyatakan valid dan reliabel. Berdasarkan uji t sub stuktur I variabel self image congruence berpengaruh positif dan signifikan terhadap satisfaction, luxury value berpengaruh positif dan signifikan terhadap satisfaction, product attribute berpengaruh positif dan siginifikan. Kemudian untuk sub struktur II variabel self image congruence berpengaruh positif dan siginifikan terhadap repurchase intention, product attribute tidak berpengaruh positif dan tidak signifikan terhadap repurchase intention, satisfaction berpengaruh positif dan signifikan terhadap repurchase intention. Serta satisfaction dapat memediasi antara self image congruence dan product attribute terhadap repurchase intention.
Pengaruh Kesempatan Investasi, Leverage, dan Likuiditas Terhadap Kebijakan Dividen pada Perusahaan yang Terindex di JII Periode 2015-2018
Authors: Putri Vinna Rahma , Susetyo Aris
Published: September 2020

Dividend policy determines the distribution of profits between payments to shareholders or corporate reinvestment. The precentage of profits  paid to shareholders as cash dividends is the DPR (Dividend Pyout Ratio). This study was conducte to examine the effect of the variable investment opportunity, leverage, and liquidity on dividend policy in companies indexed in JII in the period of 2015-2018. The population in this study were 48 companies and the purpossive sampling method obtained 44 observations. The analysis shows that  leverage and liquidity have a negative effect on dividend policy while investment opportunities have no influence on dividend policy. The adjusted R Square value is 0,601. This means that 60,1% of the diividend policy is influenced by investment opportunity, leverage, and liquidity variables; while the remaining 39,9% is influenced by other variables not examined in this study.