bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH SALES PROMOTION GIRL DAN FAKTOR INDIVIDU TERHADAP KEPUTUSAN PEMBELIAN ROKOK LUCKY STRIKE DI KOTA MAKASSAR
Authors: Adi Adi
Published: July 2021

Lucky Strike merupakan salah satu produk rokok yang di produksi oleh Bentoel Group yang kini marak dipasarkan di Kota Makassar melalui sales promotion girl. Tujuan dari penelitian ini adalah untuk mengetahui apakah sales promotion girl dan faktor individu berpengaruh terhadap keputusan pembelian rokok Lucky Strike di Kota Makassar. Dalam mencapai tujuan penelitian ini maka metode yang digunakan dalam penelitian adalah pendekatan kuantitatif  dengan menggunakan data sekunder dan primer. Populasi dalam penelitian ini adalah seluruh konsumen rokok lucky strike di Kota Makassar dengan jumlah populasi tidak di ketahui. Teknik sampel menggunakan purposive sampling, penentuan   jumlah sampel mengunakan pendekatan Roscoe yaitu jumlah anggota sampel minimal 10 kali dari jumlah variabel yang diteliti. Dengan demikian maka jumlah sampel yang digunakan sebanyak 40 orang.  Hasil olah data yang di peroleh melalui aplikasi SPSS menunjukkan sales promotion girl dan faktor individu secara parsial dan simultan terhadap keputusan pembelian berpengaruh positif dan signifikan.
ANALISIS PERTUMBUHAN EKONOMI DAN PERGESERAN ANTAR SEKTOR EKONOMI DI KABUPATEN BANGGAI LAUT PROVINSI SULAWESI TENGAH
Authors: D'Ornay Anastasia , Hasan Maskur , Natsir S Ulva
Published: July 2021

Penelitian ini bertujuan untuk : (1) mengidentifikasi klasifikasi pertumbuhan sektor perekonomian di Kabupaten Banggai Laut, (2) mengetahui pengaruh pergeseran antar sektor terhadap pertumbuhan PDRB Kabupaten Banggai Laut, dan (3) mengetahui sektor-sektor basis ekonomi di Kabupaten Banggai Laut. Penelitian ini menggunakan data sekunder. Teknik pengumpulan data menggunakan dokumentasi dan wawancara. Analisis data yang digunakan adalah SSA (Shift Share Analisis) dan LQ (Location Quotient). Hasil penelitian berdasarkan analisis Shift Share menunjukkan bahwa telah terjadi perubahan struktur ekonomi di Kabupaten Banggai Laut dari sektor primer ke sektor sekunder dan tersier. Hal ini ditunjukkan dengan peranan sektor sekunder dan tersier yang terus meningkat melalui besarnya kontribusi terhadap PDRB Kabupaten Banggai Laut namun secara keseluruhan pertumbuhan ekonomi Kabupaten Banggai Laut tergolong lamban. analisis Location Quotient menunjukkan yang merupakan sektor unggulan atau merupakan sektor basis yaitu sektor pertanian, listrik dan air bersih, perdagangan hotel dan restoran, dan sektor keuangan dan persewaan.
PENINGKATAN KINERJA MELALUI TOTAL QUALITY MANAJEMEN DAN KEPUASAN KERJA
Authors: Asmawiyah Asmawiyah , Kapriani  , Sumarsih
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh total quality management terhadap kinerja pegawai melalui kepuasan kerja. Teknik pengambilan sampel menggunakan proporsional sampling yaitu pengambilan sampel yang dihitung berdasarkan perbandingan. Sampel dalam penelitian ini adalah pegawai tetap dengan jabatan terstruktur sebanyak 42 orang. Model analisis yang digunakan adalah model struktural dengan metode partial least squares (PLS). Hasil penelitian menunjukkan bahwa penerapan total quality management berpengaruh positif dan signifikan secara langsung dan dapat meningkatkan kinerja. Begitupun juga kepuasan kerja berpengaruh positif dan signifikan secara langsung. Hasil uji mediasi kepuasan kerja juga menunjukkan pengaruh positif dan signifikan antara total quality manajemen terhadap kinerja.
PENERAPAN MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN AKTIVITAS BELAJAR DAN HASIL BELAJAR PESERTA DIDIK PADA MATERI LISTRIK STATIS KELAS IX SMP NEGERI 8 MAKASSAR
Authors: Saddia Andi
Published: July 2021

Penelitian ini bertujuan untuk meningkatkan aktivitas dan hasil belajar peserta didik pada materi listrik statis kelas IX SMP Negeri 8 Makassar melalui penerapan model Discovery Learning. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam dua siklus, dengan tiap siklus terdiri dari perencanaan, pelaksanaan tindakan, observasi, dan refleksi. Subjek penelitian adalah siswa kelas IX SMP Negeri 8 Makassar. Sumber data adalah guru dan siswa. Teknik pengumpulan data melalui observasi dan tes tertulis, selanjutnya dianalisis menggunakan deskriptif kualitatif. Berdasarkan hasil penelitian dapat disimpulkan bahwa penerapan model Discovery Learning dapat meningkatkan aktivitas dan hasil belajar siswa. Pada siklus I, persentase ketercapaian aktivitas belajar siswa sebesar 70% yang kemudian meningkat pada siklus II menjadi 81%. Peningkatan hasil belajar siklus I mencapai 55,55% dan meningkat pada siklus II menjadi 100%.
First record of Sejanus juglandis Yas. from Russia and note on S. interruptus Reut. (Heteroptera: Miridae)
Authors: Vinokurov N.N.
Published: July 2021

Sejanus juglandis Yas. is found in the Far East of Russia (Primorsk Terr.) for the first time. It is compared with S. potanini Dist. and S. interruptus Reut. Vesicae of S. juglandis and S. interruptus are figured.
Subdivision of the family Kinnaridae into subfamilies and tribes (Homoptera, Fulgoroida)
Authors: Emeljanov A.F.
Published: July 2021

Kinnaridae are subdivided into two subfamilies: Kinnarinae with a single tribe and Prosotropinae with tribes Prosotropini, Kinnocciini trib. n., Oeclidiini trib. n. and Adolendini (= Propleromini, Emeljanopleromini, synn. n.). A key to the subfamilies and tribes is given.
Prevalence and Severity of New coronavirus Disease` Clinical Course among HIV-infected People in Comparison with General Population
Authors: Sergevnin V. I. , Sarmometov E. V. , Rozhkova M. V.
Published: July 2021

Relevance. The question about HIV-infected people as a risk group of morbidity and severe course of COVID-19 is still open.

Aim of our scientific work is to determine the prevalence and severity of COVID-19` clinical course in HIV-infected people in comparison with the general population.

Materials and methods. The information resources of COVID-19 registration in HIV-infected and HIV-negative people in Perm Region were studied for 2020.

Results. The prevalence of COVID-19 among HIV-infected people is lower than among HIV-negative people. There were no significant differences in the severity of COVID-19 clinical course in HIV-infected and HIV-negative people. There was no statistically significant dependence of the severity of COVID-19 clinical course in HIV-infected patients on the number of CD4 + T cells and the degree of viral load.

Conclusion. HIV-infected people are not a risk group of morbidity and severe course of COVID-19.
Complex Analysis of the Epidemiological Situation of Tuberculosis used as an Additional Tool for Determining the «Risk Areas»on the Siberian Federal District
Authors: Khromova P. A. , Sinkov V. V. , Savilov E. D. , Ogarkov O. B.
Published: July 2021

Relevance. The article presents an example of using the method of integral assessment of the epidemiological situation of tuberculosis, which is applied to the main statistical criteria as a more accurate approach in assessing the manifestation of the epidemic process and identifying «risk areas» within the Siberian Federal District. The essence of the method consists in ranking the statistical indicators used from the minimum values to the maximum values for the entire study period, and further summing the ranks for each indicator. The resulting integral indicator is further used to calculate the generalized visibility coefficient.

Aim. Argumentation of «risk areas» associated with tuberculosis infection in the Siberian Federal District using a comprehensive assessment of the main epidemiological indicators.

Results and discussion. A complex assessment of the epidemiological situation of tuberculosis infection on the territory of the Siberian Federal District made it possible to identify regions with an unfavorable epidemiological situation (Novosibirsk and Kemerovo regions, Altai Territory, Irkutsk region and the Republic of Tyva), which require a comprehensive study to determine the causal relationships and risk factors lying in based on the observed deterioration in key epidemiological indicators.

Conclusion. In terms of risk-based surveillance, regions with an unfavorable epidemiological situation can be designated as «territory zones».
Vaccination in Patients with Chronic Lymphocytic Leukemia: Current Problems
Authors: Kislova M. I. , Petrenko A. A. , Kostinov M. P. , Nikitin E. A.
Published: July 2021

Relevance. Infections are the most common complication of chronic lymphocytic leukemia (CLL). According to registry studies, infections are the cause of death in 10–20% of patients. The emergence of new therapies for CLL has led to a decrease in mortality due to CLL progression, while mortality from infections has remained constant in recent decades.

The aim of this literature review is to analyze the effectiveness of vaccine prophylaxis in patients with CLL as well as predictors of vaccine inefficiency according to published data, to explore current guidelines.

Conclusions. The mechanisms of immune dysfunction in CLL are complex and associated with both the disease itself and the therapy. Numerous studies have shown that patients with CLL have an inadequate response to most vaccines given routinely in the general population. Vaccination in CLL patients remains a poorly developed topic. Additional clinical trials are needed to improve the effectiveness of vaccination in patients with CLL.
The Dangerous Stupidity of the Unambiguous
Authors: Rapp Ursula B.
Published: July 2021

The Book of Proverbs (Mishlei) is a collection of wisdom-sayings which are formulated in many cases as stereotypes of ‘good and bad’, ‘wise and stupid’. For today’s readership this seems to be too simplistic and superficial for our experience of life. However, this need not lead to the conclusion that the text is outdated, because the stereotypes serve as a framework within which each has to locate him- or herself – always knowing that perceiving oneself as wise might be the most stupid opinion of all.
Call-and-Response
Authors: Gourdine Angeletta KM , Kearney Mary Celeste , Pomerantz Shauna
Published: July 2021

We are proud to introduce this special issue that was inspired by the 2019 International Girlhood Studies Association (IGSA) conference at the University of Notre Dame (IGSA@ND). At that time, we were not yet acquainted with each other beyond exchanging pleasantries and knowing of each other’s academic profiles. Yet we came together as three co-editors and scholars committed not only to the diversification of girlhood studies but also to the larger project of social justice for all. We want to promote such work through this special issue and, in the process, expand perspectives and practices within the field of girlhood studies, as many before us have done.
Black Girls Swim
Authors: White Samantha
Published: July 2021

During the early part of the twentieth century, Black girls in the United States attended Young Women’s Christian Associations (YWCAs) where they received instruction in sports and physical activity. Using archival research, in this article I examine the role of swimming in Black girls’ sports and physical activity practices in Northern YWCAs. With a focus on the construction of Black girlhood, health, and embodiment, I trace how girls navigated spatial segregation, beauty ideals, and athleticism. I highlight the experiences of Black girl swimmers—subjects who have often been rendered invisible in the historical and contemporary sporting landscape.
Where are all the Girls and Indigenous People at IGSA@ND?
Authors: Young Indigenous Women’s Utopia Gro The , Moccasin Cindy , McNab Jessica , Vanner Catherine , Flicker Sarah , Altenberg Jennifer , Wuttunee Kari-Dawn
Published: July 2021

We adopt an autoethnographic approach to share critical reflections from the Young Indigenous Women’s Utopia girls’ group about our experiences attending the 2019 International Girlhood Studies Association conference at the University of Notre Dame (IGSA@ND). Moments of inspiration included sharing our work and connecting with local Indigenous youth. Challenging moments included feeling isolated and excluded since the only girls present at the conference were Indigenous people in colonial spaces. We conclude with reflection questions and recommendations to help future conference organizers and participants think through the politics and possibilities of meaningful expanded stakeholder inclusion at academic meetings.
Changelings in Chicago
Authors: Cook Courtney
Published: July 2021

Marcia Chatelain. 2015. Southside Girls: Growing Up in the Great Migration. Durham, NC: Duke University Press.
Black Girl Refusals and Reimaginings: Theorizing Liberatory Black Girlhoods Across the Diaspora
Authors: de Jesus Desirée
Published: July 2021

Aria S. Halliday (ed.). 2019. The Black Girlhood Studies Collection. Toronto: Women’s Press.
The actors of counteraction human trafficking, their general characteristics and powers in this area
Authors: Yemets Oleh , Rusnak Dmytro
Published: July 2021

The purpose of the article is to identify the entities that carry out measures to combat trafficking in human beings in Ukraine, as well as to provide them with a general description and disclose powers in this area. In Ukraine, the law defines the entities that implement measures to counteract human trafficking, and such counteraction, in turn, is a system of measures aimed at overcoming human trafficking by preventing and combating it and helping and protection to victims of human trafficking. These entities include the President of Ukraine, the Cabinet of Ministers of Ukraine, central executive authorities, local executive bodies, foreign diplomatic missions of Ukraine, as well as institutions for assistance to victims of human trafficking. Their general powers in this area are also defined by law. The National Police of Ukraine plays a leading role in the structural and functional support of counteraction human trafficking, primarily in the combating against human trafficking. Police is part of the Ministry of internal Affairs and is the Central Executive body that serves the society by ensuring the protection of human rights and freedoms, combating crime, and maintaining public security and order. In order to provide functional support for the implementation of its tasks in the field of counteraction human trafficking, the Criminal Police has formed a separate operational unit – the Department for Combating Crimes Related to Trafficking in Human Beings. However, considering the specifics of committing such crimes, depending on the certain circumstances, other units of the National Police of Ukraine may be involved, such as the Cyberpolice Department, as well as covert ones, that is, the Department of Operational Service and the Department of Operational and Technical measures. The obtained and published results can be used by scientists in further research in this area, as well as law enforcement officers in the combating human trafficking.
Socio-psychological portrait of the leader of an ethnic criminal group
Authors: Skryabin Oleksiy , Sanakoyev Dmytro
Published: July 2021

Ethnic criminal groups are particularly dangerous today, as they are transnational in nature and difficult to detect. The increase in the number of ethnic criminal groups is due to social, economic and political instability, as well as the consequences of the COVID-19 pandemic. It is important in this aspect to identify the socio-psychological portrait of the leader of an ethnic criminal group, which directs the actions and is the driving force behind the activities of ethnic criminal groups. The leader of ethnic criminal groups is characterized by a set of social and psychological qualities: a high level of initiative and activity, organizational experience, interest in achieving group goals, awareness of group affairs, camaraderie, personal attractiveness, high prestige and authority in the group. The main socio-psychological characteristics of leaders of ethnic criminal groups are the following characteristics: social origin, worldview and main motives of criminal activity, general characteristics of the offender, personal characteristics (main qualities of the offender, psychological type, presence of syndromes, individual characteristics, relationships in the social group). emotional characteristics, logic of thinking), general characteristics of a successful criminal. A clear definition of the leader of an ethnic criminal group, taking into account its socio-psychological characteristics will ensure the successful work of law enforcement agencies in the fight against organized crime. Counteracting and detecting crimes committed by ethnic criminal groups requires a detailed study of the socio-psychological characteristics of leaders and members of such criminal groups.
Problems of interaction of operational-search units of the National police of Ukraine during the investigation of criminal offences
Authors: Obshalov Serhiy
Published: July 2021

The scientific article is devoted to the coverage of some aspects of the interaction of operational and investigative units of the National Police of Ukraine during the investigation of criminal offenses. The concept, essence and forms of interaction during the pre-trial investigation are considered. It is noted that the interaction of the National Police provides the most effective investigation of socially dangerous acts. After all, thanks to the joint activities of employees of different departments, information of any plan is obtained, as well as possible rapid and rational implementation of various pro-cedural actions. The investigation of serious crimes requires employees to plan their actions quite clearly. Therefore, research and recommendations on the interaction of any units of the National Police is un-doubtedly one of the most progressive areas of achieving the purpose of criminal proceedings and research in general. The author supports the position that cooperation is a form of organization of crime investigation, which consists mainly in law-based cooperation of the investigator with the body of inquiry, agreed on the goals, time and place, carried out in order to fully and quickly detect crimes, comprehensive and com-prehensive. effective investigation of criminal proceedings and search for hiding criminals, stolen valuables and other objects relevant to the case. Among the procedural forms of their interaction in the investigation of serious and especially se-rious crimes are: the implementation of the investigator's instructions to conduct investigative (investigative) actions and covert investigative (investigative) actions; execution by the operative unit of the investigator's instructions on verification by operative-investigative means of information that is important for establishing the presence or absence of grounds for entering information into the URPI on operative materials. Among the organizational forms in the investigation of serious crimes are the following: joint planning of the initial stage of the investigation; coordinated activities as part of the investigative task force; mutual exchange of information between the investigator and employees of operational units; joint use of forensic and operational-technical means.
Organizational problems when appointing forensic video, audio analysis
Authors: Brendel Yuliya
Published: July 2021

the problems associated with the improper preparation of materials provided for the examination of video and audio recording, have been studied. The purpose of the article is to analyze the current problems that arise in the appointment of the examination of video, audio and identify ways to solve them. The materials of video, audio analysis, which are provided for examination, are analyzed; two main groups of such records are identified. The first group of records - records made by certain bodies as a result of their professional activities. The second group - records received by ordinary citizens. Considered what information from the investigated records is used by investigative bodies for what purposes. The objects of research, tasks that are solved in the examination of video, audio analysis are considered. The problematic issues that arise during the preparation of materials and appointment of video and audio examinations are analyzed; the ways of their solution are given, in particular, the recommendations on acquaintance with the available materials, preparation of «disputable» records for submission for research, sampling of voice and speech for expert research are given. The paper considers the following forms of samples of oral speech: monologue, dialogue, repetition and reading; peculiarities of obtaining them for solving certain problems. The requirements are given that are put forward to solve the problems of establishing technical conditions and technologies for obtaining video audio recording.
Pengaruh Kualitas Produk, Gaya Hidup, dan Pengetahuan Produk Terhadap Proses Keputusan Pembelian Sepeda Lipat di Kota Semarang
Authors: Prakosa Yusuf Bagus , Tjahjaningsih Endang
Published: July 2021

This study aims to analyze the effect of product quality on the purchasing decision process, the influence of lifestyle on the purchasing decision process and the influence of product knowledge on the folding bicycle purchase decision process in Semarang City. This research was conducted from November to December 2020 with the number of samples used as many as 100 respondents with the sampling technique in this study was purposive sampling. The data analysis technique used instrument test, model test, regression test using SPSS 24.0 software. The results showed that product quality, lifestyle, and product knowledge had a positive effect on the purchasing decision process. Product quality has the greatest influence on the purchasing decision process compared to lifestyle and product knowledge. The better the quality of the product, the higher the purchasing decision process.
Upaya Peningkatan Keunggulan Bersaing Usaha Mikro Kecil dan Menengah (UMKM) di Kota Medan di Masa Pandemi Covid-19
Authors: Pudyastuti Esty , Saputra Ahmad
Published: July 2021

Penelitian ini bertujuan untuk mengoptimalkan potensi UMKM dengan meningkatkan daya saingnya dimasa pandemi covid-19. UMKM memiliki peranan penting terhadap perekonomian Indonesia, karena lebih dari 90% pelaku usaha di Indonesia merupakan UMKM. UMKM merupakan salah satu potensi yang berperan dalam pertumbuhan ekonomi daerah. Untuk dapat mengoptimalkan potensinya, UMKM harus memiliki kualitas strategi yang tepat, serta didukung oleh kebijakan pemerintah. Penelitian ini dilakukan di beberapa UMKM yang berada di kota Medan dengan menggunakan variabel penelitian orientasi kewirausahaan, kualitas strategi, keunggulan bersaing, dan kinerja pemasaran. Metode penelitian yang digunakan berupa metode deskriptif kuantitatif. Populasi dalam penelitian ini adalah para pengelola dan pemilik sekaligus pengelola UMKM. Jumlah sampel 128 responden. Teknik analisis yang digunakan dalam penelitian ini adalah dengan teknik Structural Equation Modeling (SEM) paket software AMOS. Dari hasil pengujian hipotesis terbukti orientasi kewirausahaan berpengaruh signifikan terhadap kinerja pemasaran dengan rasio kritis 2,415. Kualitas strategi berpengaruh signifikan terhadap kinerja pemasaran dengan nilai rasio kritis 3,646. Orientasi kewirausahaan berpengaruh signifikan terhadap keunggulan bersaing dengan nilai rasio kritis 2,896. Kualitas strategi berpengaruh signifikan terhadap keunggulan bersaing dengan nilai critical ratio 6.439. Keunggulan kompetitif berpengaruh signifikan terhadap kinerja pemasaran dengan nilai crtical ratio 2.532.
Media, Humans and COVID-19 in Africa: A Complex or Symbiotic Relationship?
Authors: Okpara Ngozi
Published: July 2021

ABSTRACT Prior to the outbreak of the COVID-19 pandemic, Africa had peculiar shared values engraved in cultural and traditional heritages. These values dictated the socio-political and economic ways of life and largely set a precedence for how they were harnessed. The outbreak of COVID-19 caused a paradigm shift in the ways humans in traditional African societies conducted their lives. Africans as well as other people across the globe were forced to conform to the “new normal”, with the media being at the centre of information dissemination and enforcer of values. Findings revealed that media dependence during the pandemic complicated how the human person reacted and managed health issues during the lockdown which was induced by the global health emergency. In view of this, it was recommended that media focuses on the provision of solutions and constructively drive public enlightenment through the effective and factual reportage of issues in the society.
An intelligent model to assist people with disabilities in smart cities
Authors: Telles Marcelo Josué , Santos Renan , da Silva Juarez Machado , Righi Rodrigo da Rosa , Barbosa Jorge Luis Victória
Published: July 2021

Smart cities emergence has allowed a wide variety of technological services to metropolitan areas. These services can improve life quality, minimize environmental impacts, improve health service, improve security, and bear the increasing number of people in the cities. Life quality encompasses many subjects, and accessibility for People with Disabilities (PwD) is one. In this article, smart cities focused on helping PwD are called Assistive Smart Cities (ASCs). In this sense, the article proposes a Model for Assistive Smart Cities called MASC. Related works do not cover geographically broad areas, such as cities and metropolitan regions. Moreover, they are not generic in terms of disabilities and are usually intended only for one type of disability. Given this scenario, the MASC covers large regions and supports various disabilities, such as hearing, visual impairment, and limitation of lower limb movements. Unlike the related works, MASC uses the interactions of PwD to compose histories of contexts offered as services. MASC proposes an ontology-based on ubiquitous accessibility concepts. The model evaluation focused on performance, functionality, and usability. Performance and functionality evaluations were performed using data generated by a context simulator called Siafu and data from the Open Street Maps (OSM) platform. Usability was evaluated using a smart wheelchair prototype. The results of usability show 96% acceptance regarding ease of use and 98% regarding system utility. The results indicate that the model supports massive applications, managing information to generate trails. Besides, MASC provides services for different types of users, namely PwD, healthcare professionals, and public administration.
Comparison of the effects of conventional physiotherapy and proprioception exercises on pain and ankle proprioception in patients with lumbar radiculopathy
Authors: Senol Deniz , Erdem Cumali , Canbolat Mustafa , Toy Seyma , Karatas Turgay , Baykara Rabia Aydogan , Ozbag Davut , Akyurek Gokcen
Published: July 2021

BACKGROUND: Lumbar radiculopathy is characterized by a significant amount of backache causing loss of workforce and is a significant health problem frequently seen in the general population. OBJECTIVE: The purpose of this study was to compare the effects of conventional physiotherapy (CT) and proprioception exercises (PE) on ankle proprioception and lumbar pain between patients with lumbar radiculopathy and a healthy control group. METHODS: In this randomized clinical trial, 89 patients referred to the Physical Medicine and Rehabilitation outpatient clinic were selected through convenience sampling. They were randomly assigned to three groups: CT (n= 27), PE (n= 31), CT&PE (n= 31). Thirty healthy volunteers were included in the study as the control group. Proprioception measurements were made with an isokinetic dynamometer at 10∘ dorsiflexion (DF), 11∘, and 25∘ plantarflexion (PF) angles. Lumbar pain was assessed by using the Numerical Pain Rating Scale (NPRS). The data were analyzed by IBM SPSS Statistics version 22.0 via the Kruskal-Wallis and Mann-Whitney U tests. RESULTS: There was a statistically significant difference between the groups in terms of ankle proprioception and NPRS measurements in post-treatment evaluations (p< 0.05). Statistically significant differences were found between CT and PE groups and CT&PE and control groups. There was no statistically significant difference in comparing CT and PE groups and CT&PE and control groups within themselves (p> 0.05). CONCLUSION: The combined use of CT and PE is an effective method that can be used in the clinic to reduce angular differences in ankle proprioception which is one of the primary factors of balance and coordination and lumbar pain.
Comparing an e-Health program vs home rehabilitation program in patients with non-specific low back pain: A study protocol randomized feasibility trial
Authors: Castro-Sánchez Adelaida María , Antequera-Soler Eduardo , Matarán-Peñarrocha Guillermo Adolfo , {Hurley Deirdre A. , Martínez-de la Cal Jesús , García-López Héctor , Capel-Alcaraz Ana María , Lara-Palomo Inmaculada Carmen
Published: July 2021

BACKGROUND: There is little evidence on the reliability of the web application-based rehabilitation systems to treat chronic low back pain (CLBP). METHODS: This protocol describes a double-blind, randomized controlled feasibility trial of an e-Health intervention developed to support the self-management of people with CLBP in primary care physiotherapy. Three Hospitals with primary care for outpatients will be the units of randomisation, in each Hospital the participants will be randomized to one of two groups, a pragmatic control group receiving either the usual home program based on electrostimulation and McKenzie Therapy and e-Health intervention. Patients are followed up at 2 and 6 months. The primary outcomes are (1) acceptability and demand of the intervention by GPs, physiotherapists and patients and (2) feasibility and optimal study design/methods for a definitive trial. Secondary outcomes will include analysis in the clinical outcomes of pain, disability, fear of movement, quality of life, isometric resistance of the trunk flexors, lumbar anteflexion and lumbar segmental range of motion. DISCUSSION: The specific e-Health programs to home could increase adherence to treatment, prevent stages of greater pain and disability, and improve the painful symptomatology. CONCLUSIONS: The e-Health programs could be an effective healthcare tool that can reach a large number of people living in rural or remote areas.
A three-step model for the detection of stable grasp points with machine learning
Authors: Schwan Constanze , Schenck Wolfram
Published: July 2021

Robotic grasping in dynamic environments is still one of the main challenges in automation tasks. Advances in deep learning methods and computational power suggest that the problem of robotic grasping can be solved by using a huge amount of training data and deep networks. Despite these huge accomplishments, the acceptance and usage in real-world scenarios is still limited. This is mainly due to the fact that the collection of the training data is expensive, and that the trained network is a black box. While the collection of the training data can sometimes be facilitated by carrying it out in simulation, the trained networks, however, remain a black box. In this study, a three-step model is presented that profits both from the advantages of using a simulation approach and deep neural networks to identify and evaluate grasp points. In addition, it even offers an explanation for failed grasp attempts. The first step is to find all grasp points where the gripper can be lowered onto the table without colliding with the object. The second step is to determine, for the grasp points and gripper parameters from the first step, how the object moves while the gripper is closed. Finally, in the third step, for all grasp points from the second step, it is predicted whether the object slips out of the gripper during lifting. By this simplification, it is possible to understand for each grasp point why it is stable and – just as important – why others are unstable or not feasible. All of the models employed in each of the three steps and the resulting Overall Model are evaluated. The predicted grasp points from the Overall Model are compared to the grasp points determined analytically by a force-closure algorithm, to validate the stability of the predicted grasps.
F2GM: novel hybrid approach to detect psychological stress levels from social media interactions
Authors: Trisal Sushil Kumar , Kaul Ajay
Published: July 2021

Stress has become a household word which generates emotional distress, physical diseases, dysfunction and social ills. An abundant evidence is present in the literature that makes the stress research and theory high profile and important for physiological, psychological and social health. It can be legitimately said that due to the advent of social media, it has opened up inputs for the exploration of stress. The social media has become very prominent as it has touched daily lives. It has changed the way we are looking at the things, it has changed the life style, it has changed the way we are consuming the information. It has created a bridge of trust among the people of different professional’s. Social media has become undeniably a global phenomenon in the last decade or so, since the founding of social media sites like Twitter and Facebook. It is of significant importance to detect and manage the stress from theses interactions at early stage otherwise it wreaks havoc on your emotional equilibrium and your physical health. It narrows your ability to think clearly, function effectively and enjoy life. In this work our endeavor is that to present a novel method to detect the different stress levels from the social media interactions using fuzzy and factor graph methods. A correlation analysis between stressed, non-stressed and emotion tweets is carried out for social engagement correlation and behavior correlation analysis of the social media users. The proposed method performs better when results are compared with the other state of art machine learning methods.
Sentiment classification based on dependency-relationship embedding and attention mechanism
Authors: Yang Zhan , Li Chengliang , Zhao Zhongying , Li Chao
Published: July 2021

Aspect-based sentiment classification, a fine-grained sentiment analysis task, aims to predict the sentiment polarity for a specified aspect. However, the existing aspect-based sentiment classification approaches cannot fully model the dependency-relationship between words and are easily disturbed by irrelevant aspects. To address this problem, we propose a novel approach named Dependency-Relationship Embedding and Attention Mechanism-based LSTM. DA-LSTM first merges the word hidden vector output by LSTM with the dependency-relationship embedding to form a combined vector. This vector is then fed into the attention mechanism together with the aspect information which can avoid interference to calculate the final word representation for sentiment classification. Our extensive experiments on benchmark data sets clearly show the effectiveness of DA-LSTM.
Automatic road crack detection and classification using multi-tasking faster RCNN
Authors: Sekar Aravindkumar , Perumal Varalakshmi
Published: July 2021

Automatic road crack detection is a prominent challenging task, in view of that, a novel approach is proposed using multi-tasking Faster-RCNN to detect and classify road cracks. In this present study, we have collected the road images (a dataset of 19300 images) from the Outer Ring Road of Chennai, Tamil Nadu, India. The collected road images were pre-processed using various conventional image processing techniques to identify the ground-truth label of the bounding boxes for the cracks. We present a novel multi-tasking Faster-RCNN based approach using the Global Average Pooling(GAP) and Region of Interest (RoI) Align techniques to detect the road cracks. The RoI Align is used to avoid quantizing the stride. So that the information loss can be minimized and the bi-linear interpolation can be used to map the proposal to the input image. The resulting features from RoI Align are given as input to the GAP layer which drastically reduces the multi-dimension features into a single feature map. The output of the GAP layer is given to the fully connected layer for classification (softmax) and also to a regression model for predicting the crack location using a bounding box. F1-measure, precision, and recall were used to evaluate the results of classification and detection. The proposed model achieves the accuracy-97.97%, precision-99.12%, and recall-97.25% for classification using the MIT-CHN-ORR dataset. The experimental results show, that the proposed approach outperforms the other state-of-the-art methods.
A hybrid model for multi-step wind speed forecasting based on secondary decomposition, deep learning, and error correction algorithms
Authors: Xu Haiyan , Chang Yuqing , Zhao Yong , Wang Fuli
Published: July 2021

Accurate and stable wind speed forecasting is an essential means to ensure the safe and stable operation of wind power integration. Therefore, a new hybrid model was proposed to improve wind speed forecasting performance, consisting of data pre-processing, model forecasting, and error correction (EC). The specific modeling process is as follows: (a) A wind speed series was decomposed into a series of subseries with different frequencies utilizing the ensemble empirical mode decomposition (EEMD) method. Afterward, various subseries were divided into high-frequency components, intermediate-frequency components, and low-frequency components based on their sample entropies (SE). (b) Three frequency components were forecast by separately employing the hybrid model of convolutional neural network and long short-term memory network (CNN-LSTM), long short-term memory network (LSTM), and Elman neural network. (c) Subsequently, an error sequence was further forecast using CNN-LSTM. (d) Finally, three actual datasets were used to forecast the multi-step wind speed, and the forecasting performance of the proposed model was verified. The test results show that the forecasting performance of the proposed model is better than the other 13 models in three actual datasets.
Harris hawks optimization for model order reduction of power system
Authors: Roy Ranadip , Mukherjee V. , Pratap Singh Rudra
Published: July 2021

This paper aims to investigate the application of Harris hawks optimization (HHO) optimization for the solution of model order reduction (MOR) problem of power system application. The proposed approach is implemented to determine the reduced order equivalent model of large-scale power system model. The obligations encountered by the higher-scale model like stability, calculative effort and problem into local optima can be enhanced by this propounded methodology. These yielded reduced models have been tried in addition to the existing algorithms and the obtained results are contrasted considering various technical parameters to accomplish its effectiveness, reliability and robustness of the adopted strategy. Thus, superior performance of the proposed method is demonstrated. The validation of the methodology in terms of error index, time and frequency domain outputs, convergence curves with scalability of the approach are outlined in the investigation of the system.
Research on vibration acquisition and analysis system of rapier Loom spindle
Authors: Xiao Yanjun , Liang Shitong , Wang Xiaolei , Jiang Yunfeng , Liu Weiling , Sun Lingyu
Published: July 2021

The abnormal vibration of the loom spindle will seriously affect the quality of the textile. Based on the inherent embedded control system of the rapier loom, this paper develops an embedded system that monitors and analyzes the vibration signal of the spindle to determine the cause of the spindle failure. The system improves the traditional vibration sensor signal acquisition method, design the sensor peripheral auxiliary circuit and vibration signal conditioning circuit, and design the data storage and communication module so that the system has the characteristics of low cost, strong flexibility and scalability. The embedded algorithm program of Fast Fourier transform is developed, optimized, and is applied to embedded platform, therefore the system can analyze the characteristics of vibration signal in frequency domain. Finally, back propagation neural network (BPNN) is introduced to investigate and match the relationship between the vibration spectrum characteristics and fault types of the loom spindle. The extracted back propagation (BP) learning result is a mathematical mapping formula, which enables the embedded system to analyze and determine the cause of vibration fault by using this formula. System design is conducive to improving the level of production intelligence and reducing personnel costs in the production process.
Dynamic cricket match outcome prediction
Authors: Goel Rajesh , Davis Jerryl , Bhatia Amit , Malhotra Pulkit , Bhardwaj Harsh , Hooda Vikas , Goel Ankit
Published: July 2021

To propose a model where match outcome is predicted ball by ball at the start of the second inning. Our methodology not only incorporates the dynamically updating game context as the game progresses, but also includes the relative strength between the two teams playing the match. We used 692 matches from all seasons (2008–2018) to train our model, and we used all 59 matches from the current season (2019) to test its performance. Here we have engineered 11 players and 10 bowlers, and all their metrics are tracked as a function of each ball of each over throughout the match during the second inning, also keeping in the consideration of dynamically changing target score as one of the attributes. Initially, we tried Logistic Regression, Naive Bayes, K-Nearest Neighbour (KNN), Support Vector Machine, Decision Tree, Random Forest, Boosting, Bagging, and Gradient Boosting with an accuracy of 76.47%(+/–3.77%). With deep learning, we tried the various flavours of LSTM and GRU like vanilla, Bidirectional and stacked to train our models and the results found are very impressive with an accuracy of 76.13%(+/–2.59%). All of these flavors were tested using various approaches such as one-to-one sequencing, one-to-many sequencing, many-to-one sequencing, and many-to-many sequencing, which are discussed in this paper. An accurate prediction of how many runs a batsman is likely to score and how many wickets a bowler is likely to take in a match will help the team management select the best players for each match.
Very early mobilization in the stroke unit: Functionality, quality of life and disability at 90 days and 1 year post-stroke
Authors: Hernández-Méndez Beatriz , Martín-Silva Isabel , Tapias-Vilanova Martí , Moreno-Gallo Yolanda , Sanjuan-Menendez Estela , Lorenzo-Tamayo Eva , Ramos-González Montserrat , Montufo-Rosal Marina , Zuriguel-Pérez Esperanza
Published: July 2021

BACKGROUND: The evidence of early mobilization after stroke is conflicting, and the recovery period is an important concern. OBJECTIVE: To analyse the functionality, quality of life and disability at 90 days and 1 year post-stroke of patients who received a Very Early Mobilization Protocol. METHODS: Prospective cohort study in a tertiary stroke unit. Consecutive patients aged≥18 years and without prior significant disability, who presented motor deficit after acute stroke, were included. A symmetry test was performed to compare the changes in the main variables: Barthel Index (BI), Functional Ambulation Category (FAC), modified Rankin Scale (mRS) and EuroQol five-dimensions three-level (EQ-5D-3L) between 90 days and 1 year post-stroke. RESULTS: A total of 123 patients were recruited. The BI reflected an improvement at 1 year in transfer to chair/bed in 25.8%(p < 0.01) of patients and in toilet use in 25.8%(p = 0.02). The FAC showed an improvement at 1 year in 44.4%(p < 0.01) of patients and the mRS in 19.1%(p = 0.01). The usual activities dimension of the EQ-5D-3L showed a clinically relevant improvement after 1 year in 15.9%(p = 0.23) of patients. CONCLUSIONS: A significant percentage of patients show improvements in some functional areas and in disability between 90 days and 1 year post-stroke.
Evaluation of survival of Candida albicans on PVC surfaces in the test of yeasticidal activity of disinfectant
Authors: Chojecka Agnieszka
Published: July 2021

Introduction: Candida albicans survival tests on PCV carriers are necessary for the proper determination of the effectiveness yeasticidal activity of disinfectants. C. albicans is a pathogenic microorganism that causes fungal diseases and therefore its spread in the medical and non-medical areas should be limited by disinfection.
Methods: Survival of C. albicans was estimated with using principles of PN-EN 16615 standard. Suspension of C. albicans with interfering substances (0,3 g/l bovine albumin) was dry on PCV carriers under a laminar chamber without fan, at the ambient temperature for no longer than 60 minutes. C. albicans was recovered from the carriers immediately after drying and after contact time (1; 5, 10, 20, 40; 60 minutes).
Results: The drying conditions applied reduced the recovery of C. albicans from 1.21 to 2.07 on a logarithmic decimal scale with respect to the test suspension with interfering substances. The difference between the recovery immediately after drying and the recovery after the tested contact times (up to 60 minutes) was insignificant.
Conclusions: Achieving the number of C. albicans after the drying process, as provided for in PN-EN 16615, requires further improvement of the drying conditions or an increase of C. albicans suspension density before drying.
GRAIN SORGHUM GROWN AS SECOND CROP AND INOCULATED WITH Azospirillum brasilense ASSOCIATED WITH NITROGEN FERTILIZATION
Authors: Soares Deyvison De Asevedo , Andreotti Marcelo , Vicentini Maria Elisa , Freitas Leandro Alves , Modesto Viviane Cristina , Nakao Allan Hisashi , Dickmann Lourdes , Teixeira Filho Marcelo Carvalho Minhoto
Published: July 2021

Nitrogen fertilization in crop sorghum during the off-season may have a lower cost-benefit ratio than expected, due to the residual effect of the predecessor crop. However, the use of growth-promoting bacteria can be an economical alternative to increase crop yield in the Cerrado. The objective was to evaluate the response of grain sorghum to nitrogen fertilization and its inoculation by A. brasilense. A complete randomized block design in a 5 x 2 factorial arrangement was used, with five replications of the following treatments: recommended amount of N (120 kg ha-1 of N-urea), divided into 0 %-100 %, 25 % -75 %, 50 %-50 % and 100 %-0 %, in sowing and coverage, respectively, and the control (without N); with and without inoculation via sorghum seed. The morphological and productivity components of the crop were evaluated. The application of 100 % of N in the sowing provided larger plants and the 50 %-50 % installment provided smaller plants. The plants did not respond to inoculation by A. brasilense. The yield components of sorghum grown in succession to soybean, rainfed, do not change due to A. brasilense inoculation and supply or installment of nitrogen fertilization.
Nagynyomású földgáz mint tüzelőanyag a forgószárnyas repülőgépek világában
Authors: Gábor Armand Dávid , Sziroczák Dávid
Published: July 2021

A mai világban a társadalom szemlélet- és értékrendváltozása miatt egyre inkább előtérbe kerül a környezetvédelem és a fenntarthatóság a repülés területén is. Ennek egyik lehetosége a CNG hajtásrendszer fejlesztése. A CNG egy olyan metán-etán elegy, amellyel elérhető 15%-kal kevesebb COx, 80%-kal kevesebb NOx és 90%-kal kevesebb HC-kibocsátás és korommentesség. A munkánkban forgószárnyas repülőgépeket vizsgáltam meg, CNG-s hajtásút a benzines esettel szemben. Átépítés esetén az egyik legfobb szempont, a hatásfok mellett az elérhető maximális hatótávolság alakulása. Forgószárnyas esetben akár a jelenlegi hatótávolság 70%-át is elérheti, 5 kg tömegnövekedéssel, a jelenlegi maximális felszállótömeget 64%-on tartva. Az átépítésköltsége közúti közlekedésből vett példa alapján, a karbantartási költségek közel állandósága mellett a kisebb forgószárnyas gépek esetében a megtérülés nagyságrendileg 5400 km-re tehető. A CNG-hajtású kis méretű helikopterek esetében az oktatás és a rövid távú repülés válhat úttörővé a városi közlekedésben.