bluuebunny/crossref_metadata_2025 huggingface dataset:
Domain-Specific Cognitive Trajectories Among Patients with Minor Stroke or Transient Ischemic Attack in a 6-Year Prospective Asian Cohort: Serial Patterns and Indicators
Authors: Zhao Xuhao , Chong Eddie Jun Yi , Qi Wei , Pang Ting , Xu Xin , Chen Christopher
Published: July 2021

Background: Long-term post-stroke cognitive impairment (PSCI) has often been overlooked, especially among patients with minor stroke or transient ischemic attack (TIA). Objective: To assess 6-year domain-specific cognitive trajectories among survivors of minor stroke or TIA and to identify possible indicators associated with cognitive trajectories, as well as long-term and incident PSCI. Methods: Eligible participants completed cognitive and clinical assessments at baseline (2 weeks after stroke) and up to 5 follow-up visits in 6 years. Mixed linear models and generalized estimating equations were adopted to analyze longitudinal data and survival analysis to explore incident PSCI, controlling for demographic, clinical, and vascular indicators. Results: The prevalence of PSCI and mortality rate ranged from 34.6% to 53.7%, and 0 to 7.7% respectively, among 244 patients. Incidence of PSCI was 21.9%. While visual memory demonstrated a significant improvement (p < 0.05), other cognitive domains showed a fluctuating yet stable pattern across visits (all ps > 0.05). Besides age, baseline IQCODE (attention: –0.218 SD/y, executive function: –0.238 SD/y, visual memory: –0.266 SD/y), and MoCA improvement within 1 year (visuoconstruction: 0.007 SD/y, verbal memory: 0.012 SD/y) were associated with longitudinal cognitive changes. Baseline MoCA (OR = 0.66, 95% CI = [0.59–0.74]), MoCA improvement within 3–6 months (OR = 0.79, 95% CI = [0.71–0.89], and within 1 year (OR = 0.86, 95% CI = [0.76–0.96]) were associated with long-term PSCI, while baseline MoCA (OR = 0.76, 95% CI = [0.61–0.96]) was also associated with incident PSCI. Conclusion: While most domains remained stable across-time, visual memory demonstrated an overall improvement. Short-term cognitive improvement could be an early indicator of long-term cognitive trajectory to identify individuals who may be resilient to PSCI.
Hospital site selection using fuzzy EDAS method: case study application for districts of İstanbul
Authors: Yılmaz Melike , Atan Tankut
Published: July 2021

As the Covid-19 pandemic also proved, access to health care plays a crucial role in our lives. Public officials, managers and investors should consider many criteria such as public infrastructure, environment, accessibility and demand for selecting the most appropriate site for a new hospital. Thus, the hospital site selection problem is a critical multi-criteria decision-making (MCDM) problem. This paper is a case study for İstanbul where a recent MCDM methodology, the fuzzy Evaluation based on Distance from Average Solution (EDAS) method, is applied to this problem for the first time. We used a comprehensive set of five main criteria and 17 sub-criteria found in the relevant literature regarding hospital site selection. These criteria were evaluated by three decision-makers to choose the hospital site from three districts. The recommendation of the fuzzy EDAS method was then compared to the outcome of a frequently used fuzzy MCDM method. The methods resulted in different site recommendations.
A novel MapReduce-based deep convolutional neural network algorithm
Authors: Liu Xiang-Min , Hu Jian , Mwakapesa Deborah Simon , Nanehkaran Y.A. , Mao Yi-Min , Zhang Rui-Peng , Chen Zhi-Gang
Published: July 2021

Deep convolutional neural networks (DCNNs), with their complex network structure and powerful feature learning and feature expression capabilities, have been remarkable successes in many large-scale recognition tasks. However, with the expectation of memory overhead and response time, along with the increasing scale of data, DCNN faces three non-rival challenges in a big data environment: excessive network parameters, slow convergence, and inefficient parallelism. To tackle these three problems, this paper develops a deep convolutional neural networks optimization algorithm (PDCNNO) in the MapReduce framework. The proposed method first pruned the network to obtain a compressed network in order to effectively reduce redundant parameters. Next, a conjugate gradient method based on modified secant equation (CGMSE) is developed in the Map phase to further accelerate the convergence of the network. Finally, a load balancing strategy based on regulate load rate (LBRLA) is proposed in the Reduce phase to quickly achieve equal grouping of data and thus improving the parallel performance of the system. We compared the PDCNNO algorithm with other algorithms on three datasets, including SVHN, EMNIST Digits, and ISLVRC2012. The experimental results show that our algorithm not only reduces the space and time overhead of network training but also obtains a well-performing speed-up ratio in a big data environment.
Parameter estimation in multifactor uncertain differential equation
Authors: Zhang Nan , Sheng Yuhong , Zhang Jing , Wang Xiaoli
Published: July 2021

In uncertainty theory, parameter estimation of uncertain differential equation is a very important research direction. The parameter estimation of multifactor uncertain differential equation needs to be solved. Multifactor uncertain differential equation is a differential equation driven by multiple Liu processes. The paper introduces two methods to solve the unknown parameters of the multifactor uncertain differential equation, they are the method of moment estimation and the method of least squares estimation. Several numerical examples are used to illustrate the proposed parameter estimation methods.
A novel hybrid human psychology optimization-perturb and observe MPPT algorithm in a dsPIC microcontroller for grid connected PV power system
Authors: Senniappan Gomathi , Umapathy Prabha
Published: July 2021

Renewable energy presently occupies a prominent position in India’s overall energy generation scheme. In the midst of numerous alternative energy resources, solar energy is widely used as it persists in large volumes with varying specification ratings. It is suited for both stand-alone and grid-coupled application. The Maximum Power Tracking (MPPT) scheme has a profound effect on the operating efficiency of a Photovoltaic (PV) power plant. This paper proposes an inventive hybridized Human Psychology Optimization-Perturb and Observation (HPO-PO) MPPT approach for obtaining the optimal duty cycle of the boost converter to harvest global maxima from a grid-connected Total Cost Tied (TCT) configured PV array of 4080 W. The suggested method provides enriched performance both in steady-state, as well as in rapid and randomly changing weather conditions. Comparison studies of various MPPT procedures, including Perturbation and Observation (PO), Artificial Bee Colony (ABC), and Human Psychology Optimization (HPO) in MATLAB environment, illustrate the usefulness of the evoked system in meeting its goals. The suggested MPPT procedure has offered enhanced activities in terms of voltage quality, maximum power tracking capability, and converter efficiency compared to other methods. The recommended hybridized MPPT approach is experimentally validated on a hardware set-up using a 16-bit dsPIC30F2010 Digital Signal Controller in enhancing the behavior of the grid-connected PV system.
A scenario-based mathematical approach to a robust project portfolio selection problem under fuzzy uncertainty
Authors: Karimi Saeed , Mirzamohammadi Saeed , Pishvaee MirSaman
Published: July 2021

As a major concern of chief managers in each organization, project portfolio selection has a special place in their responsibilities. To assist managers in making decisions, applicable optimization models play an essential role in such processes. In this regard, this paper provides a stochastic optimization model for a project portfolio selection problem under different scenarios. Providing the novelty in the model along with making it closer to reality, the interdependency between revenue and cost of projects is considered. Due to the inherent uncertainty of parameters, the revenue and cost of each project, as well as contributed capital, follow triangular fuzzy parameters. Contrary to the previous model, the appreciation of assets is considered in the proposed model as the other novelty of the proposed model. To tackle the uncertainty of parameters, a robust possibilistic approach is used, which has been first-ever devised in such problems. Being both optimistic and pessimistic approaches available for decision-makers, a new measure is introduced to make the model inclusive. Moreover, by considering the confidence level as both parameter and decision variables, the robust possibilistic programming approach is adopted to solve the proposed model. Using the new proposed measure, the optimal average value of robust model are obtained under different confidence level. Finally, solving the optimization model, the results are provided by implementing the realization for uncertain parameters, and regarding the obtained results, discussions are made to provide some insights to the managers.
Fourth party logistics firm assessment using a novel neutrosophic MCDM
Authors: Aydın Serhat , Yörükoğlu Mehmet , Kabak Mehmet
Published: July 2021

The fourth party logistics (4PL) is an combiner that designs and implements the holistic supply chain solutions by using skills, knowledge, technology and resources of the service provider and its customer. A 4PL provider is also a technological service provider with eligible intellectual capital and the sufficient computer/software infrastructure. Defining the most appropriate 4PL service provider from the alternatives is not easy for companies, the solution can be addressed within the framework of the Multi-Criteria Decision Making (MCDM) problem, and subjective and uncertain data are required for this solution. “Fuzzy set theory” is a helpful tool for dealing with such subjectivity and uncertainty. In recent times, extensions of fuzzy sets have been evolved to address and describe the subjectivities and uncertainties more widely. Neutrosophic sets are one of the extensions of fuzzy sets, and unlike other extensions, they use the independent indeterminacy-membership function, thereby extracting important information and improving the accuracy of the decision-making process. A neutronophic MCDM method was proposed for the assessment of 4PL providers’ performance. In the application part of the study, neutrosophic language scale was used by three experts to evaluate the performance of 4PL providers. Then the closeness coefficient of each alternative was computed and sequenced in descending order. We also presented a comparative analysis with neutrosphic TOPSIS method. The results determined that the proposed neutrosophic MCDM method could be used in the performance evaluation of 4PL providers and similar problems.
DNAJB6b is Downregulated in Synucleinopathies
Authors: Folke Jonas , Arkan Sertan , Martinsson Isak , Aznar Susana , Gouras Gunnar , Brudek Tomasz , Hansen Christian
Published: July 2021

Background: α-synuclein (α-syn) aggregation contributes to the progression of multiple neurodegenerative diseases. We recently found that the isoform b of the co-chaperone DNAJB6 is a strong suppressor of α-syn aggregation in vivo and in vitro. However, nothing is known about the role of the endogenous isoform b of DNAJB6 (DNAJB6b) in health and disease, due to lack of specific antibodies. Objective: Here we generated a novel anti-DNAJB6b antibody to analyze the localization and expression of this isoform in cells, in tissue and in clinical material. Methods: To address this we used immunocytochemistry, immunohistochemistry, as well as a novel quantitative DNAJB6 specific ELISA method. Results: The endogenous protein is mainly expressed in the cytoplasm and in neurites in vitro, where it is found more in dendrites than in axons. We further verified in vivo that DNAJB6b is expressed in the dopaminergic neurons of the substantia nigra pars compacta (SNpc), which is a neuronal subpopulation highly sensitive to α-syn aggregation, that degenerate to a large extend in patients with Parkinson’s disease (PD) and multiple system atrophy (MSA). When we analyzed the expression levels of DNAJB6b in brain material from PD and MSA patients, we found a downregulation of DNAJB6b by use of ELISA based quantification. Interestingly, this was also true when analyzing tissue from patients with progressive supranuclear palsy, a taupathic atypical parkinsonian disorder. However, the total level of DNAJB6 was upregulated in these three diseases, which may indicate an upregulation of the other major isoform of DNAJB6, DNAJB6a. Conclusion: This study shows that DNAJB6b is downregulated in several different neurodegenerative diseases, which makes it an interesting target to further investigate in relation to amyloid protein aggregation and disease progression.
Identifying the job accommodation needs of American workers with mid-career neurological disabilities: A multiple case study investigation
Authors: Rumrill Phillip , Rumrill Stuart , Sheppard-Jones Kathy , Rumrill Amy , Graham-Smith Michelle , Curry Bethaney , Wiley Lakyn , Fisher Eden , Kabeya Arsene , Adams Chithra , Espinosa-Bard Christina , Jones Jason
Published: July 2021

BACKGROUND: The COVID-19 pandemic has wrought an unprecedented toll on vocational rehabilitation efforts to assist workers with disabilities in maintaining their careers. OBJECTIVE: To demonstrate the use of a psychometrically sound assessment instrument and resource-driven planning procedure to help workers with disabilities resume or retain their employment. METHODS: Four employed people with neurological disabilities who took part in a larger job retention project funded by the United States Department of Labor completed structured interviews to determine their needs for employment accommodations during COVID-19. A trained interviewer administered the Work Experience Survey (WES) in teleconsultation sessions with each participant to identify: (a) barriers to worksite access, (b) difficulties performing essential job functions, (c) concerns regarding continued job mastery, and (d) extent of job satisfaction. RESULTS: Owing primarily to the sequelae of their disabling conditions and less so to social distancing requirements and telecommuting technology, participants reported a wide range of accessibility barriers and difficulties in performing essential functions of their jobs that they believed had the potential to significantly affect their ongoing productivity. Considering the stress and uncertainty that have accompanied the COVID-19 pandemic, it is surprising that the majority of participants reported high levels of job mastery and job satisfaction. CONCLUSION: The interviewer concluded the WES interview by recommending a job accommodation plan, which included suggestions from Job Accommodation Network (JAN) consultants.
Software fault prediction using machine learning techniques with metric thresholds
Authors: Shatnawi Raed
Published: July 2021

BACKGROUND: Fault data is vital to predicting the fault-proneness in large systems. Predicting faulty classes helps in allocating the appropriate testing resources for future releases. However, current fault data face challenges such as unlabeled instances and data imbalance. These challenges degrade the performance of the prediction models. Data imbalance happens because the majority of classes are labeled as not faulty whereas the minority of classes are labeled as faulty. AIM: The research proposes to improve fault prediction using software metrics in combination with threshold values. Statistical techniques are proposed to improve the quality of the datasets and therefore the quality of the fault prediction. METHOD: Threshold values of object-oriented metrics are used to label classes as faulty to improve the fault prediction models The resulting datasets are used to build prediction models using five machine learning techniques. The use of threshold values is validated on ten large object-oriented systems. RESULTS: The models are built for the datasets with and without the use of thresholds. The combination of thresholds with machine learning has improved the fault prediction models significantly for the five classifiers. CONCLUSION: Threshold values can be used to label software classes as fault-prone and can be used to improve machine learners in predicting the fault-prone classes.
Linguistic processor of the integrated system for solving planimetric problems
Authors: Kurbatov Sergeyi S.
Published: July 2021

The paper deals with the original algorithms of the linguistic processor of the integrated system for solving planimetric problems. The algorithms successfully combine the method of synonymic transformations with the extended method of regular expressions processing. The linguistic processor translates the natural language description of the problem into a semantic representation based on the ontology that supports the axiomatics of geometry. Linguistic processor synthesizes natural-language comments to the solution and drawing objects. The method of interactive visualization of the linguistic processor functioning is proposed. The method provides a step-by-step dialog control of syntactic structure construction and its display in semantic representation. The results of the experimental study of the linguistic processor are interpreted. The direction of further research related to the development of the proposed approach is outlined.
Нова екологічна культура і екологічне богослов'я в Православ'ї
Authors: Коваленко Юрій
Published: July 2021

Стаття є розвитком ідей Відкритого православ’я в царині екології. Автор акцентує увагу на тому, що Православна церква України долучається до загальноправославного і світового процесу молитви і турботи про довкілля. Автор звертає увагу на тяглість екологічної теми в діяльності Вселенських патріархів,  Посланні Всеправославного собору на Криті (2016) і в документі Константинопольського патріархату «За життя світу / На шляху до соціального етосу Православної церкви» (2020). Зі спеціальними посланнями з нагоди Дня молитви за довкілля до православних українців звертається і Предстоятель ПЦУ Блаженніший митрополит Епіфаній (2019, 2020).
Але автор іде далі і пропонує перспективу зміни культури православних традицій і обрядів на більш екологічну. Автор зачіпає тему культури цвинтарів, екологічності поховань і нових форм поминання; культуру церковних традицій, освячень і будівництва храмів; переміну погляду на переробку і утилізацію; піст як екологічну практику. Автор пропонує створення православного екологічного календаря, екологічного богослов’я та релігійних засад екологічного світобачення. Як приклад, розглядається 28 вірш біблійної Книги Буття, який зазвичай критикується захисниками довкілля, і пропонується повернення до більш древнього і одночасно більш сучасного і екологічного його розуміння і перекладу. Автор також пропонує під екологічним кутом подивитися на образи, які використовував у своїй проповіді Христос.
Рецензія на колективну монографію “Окультні корені релігієзнавства: про вплив не-гегемонічних течій на академічне середовище близько 1900 року” (Berlin-Boston, De Gruyter, 2021)
Authors: Халіков Руслан Халікович
Published: July 2021

В рецензії розглянуто колективну монографію “Окультні корені релігієзнавства: про вплив не-гегемонічних течій на академічне середовище близько 1900 року”, опубліковану видавництвом De Gruyter у 2021 році. Книга містить гіпотезу про те, що підвалини релігієзнавства, крім позитивістської та християнсько-теологічної парадигм, також вбирають у себе парадигму езотеризму. Автори обґрунтовано демонструють, що провідні релігієзнавці, археологи та інші науковці межі ХІХ-ХХ століть або активно цікавилися езотеризмом, або навіть самі належали до відповідного світогляду, стаючи членами Теософського товариства чи інших езотеричних організацій того часу. Такий підхід є важливим для історії релігієзнавчої думки, оскільки дозволяє помітити закономірності, на які раніше не звертали окремої уваги, зокрема, популярність компаративного релігієзнавства, намагання поєднати науку та релігію в одному світогляді тощо.
Майбутнє релігії та релігійних практик у пост-пандемічний період
Authors: Борисова Ольга
Published: July 2021

У статті на підставі аналізу наукової літератури, експертних інтерв’ю, інформаційних ресурсів світової комп’ютерної мережі Інтернет, зокрема електронних варіантів таких видань, як BBC news, BBC Future, Financial Times; офіційних інтернет-порталів міжнародних організацій ООН, ВООЗ, українського Національного інституту стратегічних досліджень та ін. розглядаються питання щодо того, який вплив виказала пандемія COVID-19 на релігію і релігійні практики за час тих «жнив скорботи», які вона вже здійснила, та що чекає на них у майбутньому, коли пандемія таки припинить свій руйнівний хід по планеті.

Авторка поставила за мету – на основі аналізу новітньої інформації щодо впливу пандемії COVID-19 на релігію і релігійні практики виявити і представити ті важливі моменти, які вже є актуальними для них у нинішній момент, а також ті, що ще тільки починають проявлятися і будуть актуальними в пост-пандемічну епоху. В якості провідного метода дослідження використовувався метод Desk Research, який дозволяє як швидко отримувати інформацію, так і плідно зіставляти джерела інформації між собою з метою досягнення ефективного дослідницького результату та формулювання аргументованих висновків.

У статті розглядаються питання:  Якими були причини того, що пандемія фактично «перевернула світ»? Що це означає для майбутнього релігійних зборів, ритуалів та подорожей, враховуючи, що все це може посилити передачу вірусів у глобальному масштабі? Чи гряде кардинальна трансформація всього релігійного життя людства? А чи не є це вже початком кінця релігій, як це передбачали деякі соціологи минулого? Питання, як бачимо, фундаментальні. І їх поставила перед нами саме пандемія.

Тож, вочевидь, праві ті вчені, які завжди відзначали, що кризи несуть в собі не тільки негативні явища, а й дають шанс на позитивні зміни в людському суспільстві. І, зіставивши думки філософів минулого, які вважали, що релігія, ця «стара магія» і «розчарування світу», скоро відійде в минуле, а «тотемом нового виду стане туризм», з тим, як пандемія COVID-19 вплинула на релігійну свідомість людей в усьому світі, авторка доходить висновку, що ці прогнози не справджуються. Релігія нікуди не дінеться (і у статті показано, чому), а ось самі вчення і релігійні практики чекають певні трансформації. Як також церкви будуть зобов’язані дотримуватись вимог епідеміологічної безпеки під час церковних заходів і подорожей.

Оскільки впливи пандемії COVID-19 у науковому середовищі ще осмислюються і література тільки починає з’являтись, то у даній статті викладено авторську позицію з проблем, які в ній піднімаються.
Сучасні погляди на проблему датування Таємної Вечері. Частина 1 Календарне вирішення датування Таємної вечері
Authors: Санніков Сергій
Published: July 2021

У статті аналізуються різні підходи до вирішення проблеми пов'язаної з характером і датуванням так званої Таємної вечері, яку провів Ісус Христос зі своїми учнями перед своєю смертю. Описи, представлені в синоптичних Євангеліях явно вказують, що ця подія відбулася в четвер увечері і представляло собою пасхальний седер. Наратив Євангелії Івана ясно показує, що єврейська пасхальна вечерю мала відбутися в п'ятницю. Узгодженням цих двох наративів богослови займаються вже тривалий час.

Стаття докладно демонструє різні рішення цієї проблеми, які стали популярні в останні десятиліття. Автор показує, що провідні біблеїсти сучасності все частіше повертаються до традиційної точки зору, що Остання вечеря Христа була дійсно пасхальної трапезою, а не дружній (несакральной) зустріччю хабурів, яку Ісус бажав провести у вузькому колі найближчих учнів.

Перший розділ статті присвячений одному з найбільш модний напрямків - календарному вирішення проблеми датування Останньої вечері Ісуса. У статті висвітлюються особливості та етапи становлення єврейського календаря. Також аналізується гіпотеза, детально розроблена Анні Жобер, яка ґрунтується на наявності в юдаїзмі Другого храму різних календарних варіацій і супротивних груп, які по-різному розуміли особливості святкування релігійних свят.

Анні Жобер розвинула теорію двох календарів на основі псевдоепіграфа Книги ювілеїв і кумранских рукописів із залученням відомостей з патристичній літератури. На її думку Христос провів пасхальну юдейську трапезу з споживанням агнця з 12 апостолами не в четвер, а у вівторок, тому що Він використав не офіційний храмовий місячно-сонечний календар, а сонячний календар єсеїв, описаний в книзі Ювілеїв. Деякі підтвердження цієї гіпотези можна зустріти в роботах Єпіфанія Кіпрського та Вікторина Петавійского. У статті наводяться основні аргументи критиків цієї гіпотези. Зокрема, з точки зору Жобер треба відкинути наративи синоптичних Євангелій, вважаючи їх пізніми дописами, стає незрозуміло, як храмове священство могло допустити заклання агнців єсеїв на кілька днів раніше за встановлений термін, особливо зважаючи на їх дуже напружені стосунки. Також немає ніяких документальних підтверджень аналогічних випадків в історії юдаїзму. Таким чином, календарна теорія має як ряд серйозних підтверджень, так і чимало слабких аргументів.

У наступному числі цього видання буде подано так зване рабиністичне вирішення датування Останньої вечері і його докладний огляд. У поза наступному числі цього видання буде розглядатися астрономічний та інші концепти цієї проблеми.
Рецензія на «Записки Наукового товариства ім. Шевченка в Америці» (Нова серія. Том 1. Головний редактор серії Григорій Грабович; редактор тому Олесь Федорук. Нью-Йорк, 2017, 256 с. )
Authors: Доброносова Юлія
Published: July 2021

Рецензія на «Записки Наукового товариства ім. Шевченка в Америці» (Нова серія. Том 1. Головний редактор серії Григорій Грабович; редактор тому Олесь Федорук. Нью-Йорк, 2017, 256 с. )
DRUG REPURPOSING: IN SILICO BASED STUDY ON REPURPOSING PHYTOCHEMICALS ON INFLUENZA
Authors: Sonawadekar Chinmay , Kamble Rashmi , Sawant Saloni , Joshi Sriya
Published: July 2021

By and by, the world is in a battle with the novel Influenza and with no prompt medicines accessible the scourge brought about by the disease is expanding step by step. A ton of researchers are continuing for the potential medication up-and-comer that could help the medical care framework in this battle. In recent years, studies of phytoconstituents have gradually increased worldwide because the natural sources and variety of such plants allow them to complement modern pharmacological approaches. As computer technology has developed, in silico approaches such as virtual screening and network analysis have been widely utilized in efforts to elucidate the pharmacological basis of the functions of phytoconstituents. We present a docking?based screening using a quantum mechanical scoring of a library built from approved drugs and compounds that Curcumin, Gallic Acid, Phenethyl Isothiocyanate, Piperine, with Proteins Neuraminidase, Hemagglutinin, M1 and M2 Matrix proteins having PDB IDs 3BEQ, 4WE8, 5V6G, 6BKL respectively, could display antiviral activity against Influenza. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the disease. We hope that these findings may contribute to the rational drug design against Influenza.

Keywords: PDB IDs 3BEQ, 4WE8, 5V6G, 6BKL
WORKSHOP PENGENALAN METODE PENELITIAN KUANTITATIF MELALUI SOFTWARE SPSS DALAM MENGHADAPI ERA NEW NORMAL DI SMK SWASTA AL WASHLIYAH 3 MEDAN, KOTA MEDAN, PROVINSI SUMATERA UTARA
Authors: Juliandri Panjaitan Dedy , Aprilia Rima
Published: July 2021

Covid-19 merupakan ancaman bagi berbagai sektor kehidupan. Selain kesehatan, Covid-19 turut mengancam kehidupan sosial, ekonomi, pendidikan, dan politik di berbagai Negara. Pada sektor pendidikan, model pembelajaran harus dilakukan jarak jauh secara daring. Hal ini mengakibatkan terjadinya persaingan dunia kerja yang sangat ketat, untuk itu lembaga pendidikan khususnya Sekolah Menegah Kejuruan (SMK) harus mampu menyiapkan peserta didiknya untuk dapat bersaing dalam dunia kerja. Dalam rangka memenuhi kebutuhan Guru-Guru dalam pengelolaan data statistik dan menunjang era new normal serta era revolusi industri 4.0 yang telah dilaksanakan pemerintah maka kami berusaha untuk merealisasikan kebutuhan tersebut dengan melaksanakan kegiatan PKM yang didanai oleh Dana Internal Universitas Muslim Nusantara Al Washliyah. Target luaran yang dihasilkan dari kegiatan ini secara umum adalah guru-guru dan siswa di SMK Swasta Al Washliyah 3 Medan mahir menggunakan media SPSS (Statistical Product for Service Solutions) sebagai media mengolah data.  Secara  khusus,  target  luaran  kegiatan  adalah  sebagai berikut: (1). Guru dan siswa mampu menggunakan data sesuai dengan desain penelitian yang telah ditentukan dengan tepat, benar dan jujur; (2). mampu mengolah data sesuai dengan desain penelitian yang telah ditentukan dengan tepat, benar dan jujur; (3). dapat mengolah data penelitian dengan waktu yang cepat dan benar.
Antisipasi Efek Pandemi Covid-19 Terhadap Perekonomian Keluarga Melalui Pelatihan Pembuatan Sabun Di Desa Dalu Sepuluh B Tanjung Morawa Deli Serdang
Authors: Damanik Marini , Zubir Moondra , Andi Syahputra Ricky , Selly Rini , Rahmah Siti , Serimawarni Serimawarni
Published: July 2021

Dalu Sepuluh B merupakan salah satu desa yang terletak di Kecamatan Tanjung Morawa, Kabupaten Deli Serdang Sumatera Utara Indonesia. Kondisi tanah yang subur dimanfaatkan warga untuk menanam berbagai tanaman hias maupun tanaman obat di halaman rumah. Tanaman seperti lidah buaya, jeruk nipis, jeruk purut maupun sereh wangi dapat ditingkatkan nilai jualnya yaitu dengan menjadikannya produk sabun. Sabun cuci piring menjadi produk yang menjanjikan untuk meningkatkan perekonomian warga masyarakat Desa Dalu Sepuluh B. Apalagi pada masa pandemi covid-19 banyak warga yang bekerja di pabrik dirumahkan, sehingga butuh alternatif lain untuk menambah penghasilan keluarga. Adapun metode kegiatan yang dilakukan yaitu memberikan pemahaman kepada ibu pkk tentang pengembangan sabun cair cuci piring menggunakan bahan alami dan praktik pembuatan sabun cair cuci piring menggunakan bahan alami. Ibu PKK memiliki antusias yang cukup tinggi dalam melakukan kegiatan ini. Hal ini terlihat dari semangat dalam memproduksi sabun cuci piring dan setelah kegiatan pelatihan ini, ibu PKK masih memproduksi sabun cuci piring dirumah mereka untuk digunakan sendiri.
Optimization of the Yarn Slippage at the Seam in Chenille Upholstery Fabrics Including Recycled and Virgin Polyester Yarns
Authors: ESİ Bestem , DURU BAYKAL Pınar
Published: July 2021

In this study, it is aimed to establish an optimization model that minimizes the seam slippage in chenille upholstery fabrics using recycled and virgin polyester yarns. For this purpose, 32 chenille yarns were produced in two different pile lenghts by using r-PET and virgin polyester yarns in binder and / or pile structure and then, these chenille yarns were used as weft to produce chenille upholstery fabrics. Tests have been performed in accordance with the standards to determine the physical and performance properties of woven fabrics. Statistical analyzes were made using the data obtained as a result of the tests, and equations that express each variable mathematically were created with the help of regression analysis of performance characteristics. Lingo 18.0 software was used to solve the optimization model. In the solution of the model, while the amount of seam slippage was minimized within the constraints, optimum values of some physical and performance properties of the fabrics were obtained.
A atuação da liderança de enfermagem como estratégia na prevenção dos impactos da pandemia na saúde mental dos colaboradores
Authors: Nunes Barbara Aparecida de Souza , Shimizu Juliana Cristina , Porfirio Regiane Baptista Martins
Published: July 2021

Objetivo: Identificar, na literatura nacional e internacional, o impacto direto ou indireto das lideranças de equipes de enfermagem, de maneira positiva ou negativa, que foram intensificadas em meio pandemia de COVID-19 impactando na saúde mental dos profissionais. Pergunta problema: Como as lideranças de enfermagem podem atuar de forma a prevenir os impactos causados pela pandemia na saúde mental dos profissionais de enfermagem? Metodologia: Trata-se de uma pesquisa baseada na revisão integrativa de literatura a respeito do impacto da liderança na saúde mental dos profissionais de enfermagem durante a pandemia. Os resultados foram planificados e constituíram a tabela 2 que se estrutura em colunas contendo: Autores, Ano de publicação, Periódico, Título do estudo e Objetivo do estudo. Resultados: O objetivo desse estudo foi alcançado, onde foi possível identificar na literatura, os impactos gerados pela liderança das equipes de enfermagem, de maneira negativa na qual um líder sem experiência, que não consegue desenvolver a comunicação efetiva e compreender sua equipe, e engendrando sobrecarga de trabalho, gerando insegurança, desgaste emocional e físico, conflitos entre os profissionais acarretada pela pressão da pandemia COVID-19 ao contrário de uma liderança preparada pois é necessário saber liderar em um momento complexo de pandemia afins de minimizar o estresse de uma profissão que por si só é indutora de estresse.
VIRTUAL REALITY BERBASIS COGNITIVE BEHAVIOR THERAPY UNTUK MENURUNKAN KECEMASAN BERBICARA DI DEPAN UMUM
Authors: Eliza Sutri Utami  , Oktarisa Fidia
Published: July 2021

Most students carry out formal communication such as presenting assignments or expressing opinions in formal forums and there is anxiety about public speaking in their implementation. Virtual reality based on cognitive behavior therapy (VR-CBT) is one of the psychological interventions that can be applied in this study with the aim of reducing the level of anxiety in public speaking. The public speaking anxiety scale, TMAS, and psychological tests were used as measures to determine the subject's anxiety level. Collecting data using observation and interviews with subjects and related parties. This research design uses descriptive qualitative with a case study approach (case study). This study consisted of one subject who was a 20 year old sixth semester student. The VR CBT consisted of 10 sessions (+60 minutes / session). The data analysis technique used qualitative data analysis. The results showed that the subject's public speaking anxiety level decreased. That is, VR CBT is effective in reducing the level of public speaking anxiety.
PENGGUNAAN MEDIA PUZZLE UNTUK MENINGKATKAN KEAKTIFAN BELAJAR SISWA KELAS 4 DI SDIT AL USWAH PAMEKASAN
Authors: Saifuddin Amin Agus , Prirahayu A Murnie
Published: July 2021

This study aims to increase the activeness of science learning of fourth grade students at SDIT Al Uswah using puzzle media. The use of puzzle media in Natural Science subjects as a solution to increase the learning activity of fourth grade students at SDIT Al Uswah Pamekasan. In the implementation of the improvement plan in cycle 1, it failed, namely when students answered questions from the teacher without learning media, some students experienced difficulties. From 18 students in class 4B SDIT Al Uswah Pamekasan obtained data that 5 students or equivalent to 27.78% can complete their assignments well while 13 students or equivalent to 72.22% of poor work results, with a KKM of 70. Learning It is said to be successful if the class average reaches at least 85%. There were 5 students or 27.78% of Natural Science learning active in cycle 1, while in cycle 2 there were 16 students or 88.89% who succeeded from 18 students overall. This shows that there is an increase in students who complete the KKM 70. Thus, the use of puzzle media in the animal life cycle material for science subjects is very appropriate for fourth grade students of SDIT Al Uswah Pamekasan.
PENTINGNYA PENGGUNAAN PROGRAM APLIKASI INSTRUMENTASI DATA UNTUK MENGGALI ARAH PEMINATAN PESERTA DIDIK SMP DI KABUPATEN PAMEKASAN
Authors: Supriadi Agus
Published: July 2021

With so many tasks that must be completed cultivated fields by teachers Guidance and Counseling which consists of four fields, eleven types of services, and six support units. The teacher then Guidance and Counseling feel overwhelmed and unable to complete the task becomes all areas mandate, particularly in data collection and usage instrumentation applications. Unfinished inability to complete all the administrative tasks of the Guidance and Counseling  teacher, now coupled with new task field known as Direction Specialisation, which according to teachers Guidance and Counseling " jobs that seem more time-consuming, and difficult to resolve in a short time ". So that guidance and counseling teacher performance was not optimal. In this research method is discussed about the development, stages, testing, and analysis products. To obtain the necessary data , the researchers chose 20 people teachers Guidance and Counseling are incorporated in MGBK (Musyawarah Guru Bimbingan dan Konseling ; Deliberation Teacher Guidance and counseling) Pamekasan as test subjects with treatment instrumentation applications utilizing the data direction of specialization. With this treatment were then given a questionnaire to determine the performance associated with speed and ease before and after using the instrumentation application of data toward specialization

From the results of this development was obtained performance without using a program based on the pace of work = 38 : 80 = 0.475 or 47.5 % of the expected criteria. From the aspects of ease in working = 38 : 80 = 0.475 or 47.5 % of the expected criteria. While using the application program instrumentation toward specialization junior learners views on aspects of the system working speed = 66 : 80 = 0.825 or 82.5 % of that expected. Ease in working = 65 : 80 = 0.8125 or 81.25 % of the expected. For the lowest working system is the convenience aspect, which reached 81.25 % of the expected.  From the calculation we can conclude the difference between a working system without and with using the program. So that the application program instrumentation specialization direction data can be harnessed and used by teachers Guidance and Counseling in Pamekasan to improve performance in the implementation of the service. Suggestions can be submitted to the user program the data instrumentation applications, especially towards specialization learners in making its recommendation sheet, to be able to properly and optimally utilize it possible to increase the performance of services to students of teaching.
MOTIVASI BELAJAR SISWA MIS I'ANATUSHIBYAN 02 PARUNG
Authors: Nurlailah Nurlailah , Oktapiani Rika , Ika
Published: July 2021

Besides that, school is also a product where humans are educated and nurtured to become smart, productive, and qualifield human beings. The main purpose of education is to help students develop every potential that exsists in them so that they can become human beings who are balanced between their personal and social lives.  The quality of student education outcomes can be determined by many factors, one of the most important is student motivation. Student motivation to learn greatly determines the success achieved by these student. Student who have high learning motivation will be able to achieve high learning achievement as well, but conversely, stuydent who have low motivation tend to get low learning achievement as well and will experience higher learning disabilities. To help increase a student’s motivation to learn, it is necessary to know the level of student motivation to learn. The phenomenon in the field shows that the level of student learning motivation is very important to know so that it can help these student to improve it, this is known after the researcher conducted interviews with supervisors at the school, according to the supervisor some students in the school had low motivation. To actively participate in teaching and learning activities in the classroom. Student motivation in this study is related to motivation, driving, change, and goals of motivation it self. The school that was taken as the research location was MI I’anatusshibyan 02 Parung. The students referred to in this study were all students of MI I’anatusshibyan 02 Parung.
Digital media and democracy: tactics in hard times
Authors: McKelvey Fenwick Robert
Published: July 2021

“We’re an empire now, and when we act, we create our own reality,” explains an unnamed Bush administration official. This quote sets the tone for a new edited collection reflecting on the role of the media in constructing reality. The lack of a “truth” does not quell the public demand for one, as Boler aptly points out in her introduction: “The desire and longing for truth expressed by the public demands for media accountability is in tension with the coexisting recognition of the slipperiness of meaning” (p. 7). Media, then, in all their forms, become a central battleground for forging meaning and shaping reality. “Media are the most powerful institutions on earth,” Amy Goodman of Democracy Now claims, “more powerful than any bomb, more powerful than any missile” (p. 199).

This series of interviews and articles explores how incumbent powers and media activists compete to produce and reproduce their versions of reality through the media. The contributors use the format to discuss the tenuous relationship between media and democracy and the changing role of the news media, as well as to present examples of tactical media. The resulting collection provides an excellent introduction to the current, troubling media landscape and its tactical opportunities.
Image ethics: the moral rights of subjects in photographs, film, and television
Authors: Gilles Donald J.
Published: July 2021

Because this invaluable book was published a few years ago, it seems appropriate to acknowledge that those readers of this journal whose professional and scholarly interests it addresses -- and because of its breadth and depth they will be many -- will have read it and told their colleagues, students and friends about it, as well as their audiences in the very media in which they work and with which the book deals.
PERSPECTIVE TRENDS OF INFRASTRUCTURE OF LIVING ENVIRONMENT ERGODESIGN FORMATION
Authors: Smirnova O.
Published: July 2021

The article provides definitions of the concepts of "residential infrastructure" and "ergodesign of living environment". It was determined that residential infrastructure is a set of residential units designed for household activities with a system of appropriate services. The article describes the features of architectural and design formation of the modern living environment. Perspective tendencies of ergodesign infrastructure of living environment creation for the purpose of methodological bases of its formation development are revealed. It is established that the infrastructure of the living environment in the future will be improved taking into account the peculiarities of the determining factors, but the architectural environment of local residential units will be more developed. The directions of the architectural environment development of local residential formations are connected. It was determined that they are connected with application of innovative technologies and new building materials, functional intensification of living environment infrastructure, creation of multifunctional residential complexes, development of scale characteristics of buildings and emergence of vertical megastructures. Concepts and directions of architectural designing objects of residential environment infrastructure with use of means of ergodesign are revealed. The methods of forming the ergodesign residential infrastructure formations, which are aimed at creating a humane psychologically and aesthetically comfortable environment of human life, are determined.
It is revealed that the main perspective methods of local residential formation include creation of multifunctional residential buildings and structures, maximum usage the natural (water, relief, vegetation) and artificial elements in the structure of residential formations to achieve stylistic unity, creation of universal spaces with the possibility of changing them in time, creation living environment as a single energy system, the usage of advanced technologies, architectural and artistic and engineering achievements to create its unique artistic image, the introduction of automatic "intelligent" systems in the infrastructure of living environment, etc.
METHOD AND EXPERIENCE OF IMPLEMENTATION OF QUANTITATIVE ASSESSMENT OF DISSERTATIONS QUALITY OF DOCTORS OF PHILOSOPHY ON THE EXAMPLE OF THE SPECIALTY GEODESY AND LAND MANAGEMENT
Authors: Meteshkin K. , Kondrashchenko O. , Pilicheva M.
Published: July 2021

Quantitative assessment of the quality of scientific activity occupies a significant place in the implementation of innovative developments. As part of the study, the authors proposed a method of expert quantitative evaluation of the quality of dissertations of doctors of philosophy on the example of the specialty Geodesy and Land Management, which proposes to determine the properties of the dissertation, develop an evaluation scale, quantify each property and calculate an integrated indicator, based on which the conclusion of the dissertation. Modern mobile computing tools allow you to create a mobile application for gadgets of experts, members of specialized scientific councils, and in real time (in the process of conducting a professional seminar and defending a dissertation) to quantify the quality of the dissertation. Gadgets of two reviewers, two opponents, the chairman of the specialized scientific council, and the scientific secretary are elements of the generalized scheme of collecting and integrating expert assessments on the quality of the dissertation performed for the degree of Doctor of Philosophy. The gadget of the scientific secretary is a server and is endowed with functions of transfer of information on an estimation on system of support of educational processes of department on which special page the corresponding estimations of quality of dissertations can be placed. The proposed letter assessing the quality of the dissertation consists of three parts: the first is information about the expert, the second is a system of sign-numerical scales that allow in the usual form for research and teaching staff to assess individual features of the dissertation, the third may contain specific proposals of the expert. A generalized scheme for collecting and integrating expert assessments in real time using mobile technologies has also been developed. An example of approbation of the proposed method is given. The boundaries of productive and unproductive intervals of the sign-numerical scale are considered. The proposed method meets modern requirements for digitalization. It allows you to determine in real time a quantitative indicator of the quality of research conducted by the applicant, which in turn ranks dissertations and makes them attractive to investors, which will develop promising areas of research and accelerate scientific and technological progress. The given examples of realization of a method based on theories close to human psychology – the theory of usefulness, the psychological theory of decision-making, and also wide experience of estimation of dissertation will allow to make a certain contribution to experimental researches of the organization of dissertations for the degree of doctor of philosophy.