bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relevance of causation in robotics: A review, categorization, and analysis
Authors: Hellström Thomas 
Published: April 2021

Abstract
In this article, we investigate the role of causal reasoning in robotics research. Inspired by a categorization of human causal cognition, we propose a categorization of robot causal cognition. For each category, we identify related earlier work in robotics and also connect to research in other sciences. While the proposed categories mainly cover the sense–plan–act level of robotics, we also identify a number of higher-level aspects and areas of robotics research where causation plays an important role, for example, understandability, machine ethics, and robotics research methodology. Overall, we conclude that causation underlies several problem formulations in robotics, but it is still surprisingly absent in published research, in particular when it comes to explicit mentioning and using of causal concepts and terms. We discuss the reasons for, and consequences of, this and hope that this article clarifies the broad and deep connections between causal reasoning and robotics and also by pointing at the close connections to other research areas. At best, this will also contribute to a “causal revolution” in robotics.
Passe-partout-Komposita im gesprochenen Deutsch
Authors: Stumpf Sören 
Published: April 2021

AbstractThis paper proposes an analysis of German passe-partout compounds likeStraßending(streetthing) andBananendinger(banana things) as morphological constructions. The study shows that these constructions are characteristic of spoken language and must therefore be considered with respect to the particular properties of that genre. Based on the findings about the pragmatically driven word formation an argument is made for a Construction Morphology that is based on usage and speaker interaction. This proposal can be seen as an extension of the current theory of Construction Morphology (Booij 2010). The notion of pragmatically driven word formation is illustrated by a case study of the [X-Ding]Nconstruction in spoken German. It will be shown that partially filled constructions withDingas a determinatum have specific semantic and functional-pragmatic properties and are part of a complex family of passe-partout constructions.
Additive effect of low skeletal muscle mass and abdominal obesity on coronary artery calcification
Authors: Jun Ji Eun , Kang Mira , Jin Sang-Man , Kim Kyunga , Hwang You-Cheol , Jeong In-Kyung , Kim Jae Hyeon 
Published: April 2021

Objective
We aimed to investigate the interaction of reduced skeletal muscle mass and abdominal obesity on coronary artery calcification (CAC).

Design and methods
A total of 19 728 adults free of cardiovascular disease (CVD) who contemporaneously underwent cardiac tomography and bioelectrical impedance analysis were enrolled in a cross-sectional and longitudinal cohort. Skeletal muscle mass index (SMI) was calculated using the following formula: SMI (%) = total appendicular muscle mass (kg)/body weight (kg) × 100 according to sex. CAC presence or incidence was defined as CAC score > 0, and CAC progression was defined as √CAC score (follow-up) – √CAC score (baseline)>2.5. Pre-sarcopenia was defined as SMI ≤ −1.0 s.d. of the sex-specific mean of a young reference group. Abdominal obesity was defined as waist circumference ≥ 90 cm for men and ≥85 cm for women. All individuals were further classified into four groups: normal, abdominal obesity alone, pre-sarcopenia alone, and pre-sarcopenic obesity.

Results
Individuals with pre-sarcopenic obesity showed the highest adjusted odds ratio (AOR) for CAC presence (AOR 2.16, 95% CI : 1.98–2.36, P < 0.001) as well as total CAC incidence and progression (adjusted hazard ratio: 1.54, 95% CI: 1.37–1.75, P < 0.001), compared with normal individuals. Pre-sarcopenic obesity significantly increased CAC incidence and progression compared to either pre-sarcopenia or abdominal obesity alone.

Conclusion
Pre-sarcopenia and abdominal obesity together were significantly associated with a higher CAC presence and increased risk of CAC incidence and progression, independent of traditional CVD risk factors.
Genome-wide association and transcriptome analysis suggests total serum ghrelin to be linked with GFRAL
Authors: Wittekind Dirk Alexander , Scholz Markus , Kratzsch Jürgen , Löffler Markus , Horn Katrin , Kirsten Holger , Witte Veronica , Villringer Arno , Kluge Michael 
Published: April 2021

Objective
Ghrelin is an orexigenic peptide hormone involved in the regulation of energy homeostasis, food intake and glucose metabolism. Serum levels increase anticipating a meal and fall afterwards. Underlying genetic mechanisms of the ghrelin secretion are unknown.

Methods
Total serum ghrelin was measured in 1501 subjects selected from the population-based LIFE-ADULT-sample after an overnight fast. A genome-wide association study (GWAS) was performed. Gene-based expression association analyses (transcriptome-wide association study (TWAS)) are statistical tests associating genetically predicted expression to a certain trait and were done using MetaXcan.

Results
In the GWAS, three loci reached genome-wide significance: the WW-domain containing the oxidoreductase-gene (WWOX; P = 1.80E-10) on chromosome 16q23.3-24.1 (SNP: rs76823993); the contactin-associated protein-like 2 gene (CNTNAP2; P = 9.0E-9) on chromosome 7q35-q36 (SNP: rs192092592) and the ghrelin And obestatin prepropeptide gene (GHRL; P = 2.72E-8) on chromosome 3p25.3 (SNP: rs143729751). In the TWAS, the three genes where the expression was strongest associated with serum ghrelin levels was the ribosomal protein L36 (RPL36; P = 1.3E-06, FDR = 0.011, positively correlated), AP1B1 (P = 1.1E-5, FDR = 0.048, negatively correlated) and the GDNF family receptor alpha like (GFRAL), receptor of the anorexigenic growth differentiation factor-15 (GDF15), (P = 1.8E-05, FDR = 0.15, also negatively correlated).

Conclusions
The three genome-wide significant genetic loci from the GWA and the genes identified in the TWA are functionally plausible and should initiate further research.
TV Media Change in the Aspect of Remediation Theory
Authors: Pečiulis Žygintas 
Published: April 2021

The emergence of TV in the first half of the 20th century became one of the media for mass audiovisual communication, technologically extending the tradition of electric telegraph and radio. Initially, TV was considered a media for transmitting current processes. With the introduction of video technology in the 1960s, TV began to capture live content and re-display videos. TV content production technologies have been radically changed by video editing, which has brought TV closer to the cinema. Technological changes in the analog era have had a greater impact on content production processes, and the digital era sparked a revolution in content consumption. Technological changes in the pre-digital and digital era can be seen as progress, but at the same time raises the question of media perception, even survival, as the technologies of production and distribution of TV content and audience behavior change from time to time.
Prospects for predicting the course of nodular sclerosis Hodgkin lymphoma by morphometric analysis of CD163-positive macrophages
Authors: Minaev M. S. , Perfilova E. A. , Diakonov D. A. , Kuzmin A. A. , Pavlova N. B. , Konovalov D. M. , Paramonov I. V. 
Published: April 2021

Background. In present days, much attention is paid to the study of the interrelation between the macrophage/hystiocytic microenvironment and the tumor substrate in lymphoproliferative disorders.Objective. The article is devoted to the morphometric and morphological assessment of CD163-positive macrophages in nodular sclerosis Hodgkin lymphoma.Materials and methods. Formalin fixed, paraffin-embedded (FFPE) lymph node samples of 45 patients were used for the study. To identify and visualize CD163-positive cells in the test material, an immunohistochemical staining method was used.Results. The study shows that the morphometric and morphological analysis of CD163-positive cells can be an effective and promising criterion for representing them as potential predictors of the disease course. Immunohistochemical study of 45 cases using the CD163 marker revealed a difference in the nature of macrophages localization in the lymph nodes nodules. The dependence of CD163-expressing cells number on the disease course was determined.Conclusion. The data obtained can be used to stratify patients with nodular sclerosis of classical Hodgkin lymphoma into risk groups and to determine personalized approaches to treatment. Immunohistochemical determination of the CD163 marker can be used in the complex diagnosis of the causes of refractoriness to the first and subsequent lines of therapy.
Analysis of Key Generation Methods for Enable Secured Communication in the IoTs System
Authors: Et. al. Nikhil Subhash Patankar, 
Published: April 2021

The open stack communication protocol of the internet of things always in security threats. The vulnerability of protocol faces a problem of man in middle attacks and loss of integrity of communication. Cryptography plays a vital role in security authentication on IoT based enable communication system. IoT devices' limited resource constraints cannot offer any security mechanism on the physical level and network level. The key generation methods uplift the security provision in IoT enables communication model. The process of key generation applied three types of cryptography algorithm, symmetric, asymmetric and hybrid algorithm. The complexity of key generation methods needs more computational time and memory; this is the limitation of IoT devices. So various authors proposed a lightweight key generation algorithm for security and authentication. This paper analyzed the performance of key generation methods based on different cryptography approaches and measured their security strength. For the analysis process, use MATLAB software and sample text data file for the communication of two parties. Some ADHOC methods apply to measure protocol weakness during the communication network compromised with a man in the middle attack. The variable key size also reflects the security strength of IoTs enable devices.
INTELLIGENT AQUAPONICS USING IoT
Authors: Et al. Sujatha Anand 
Published: April 2021

Conventional agriculture and aquaculture present the unwelcome situation of great extents of consumption in both land and water resources. The threat of pollution of water bodies also need to be taken into account. The urbanization policies and population explosion with rapid migration from rural areas makes the concept of aquaponics reuse of ecological crop rising and reusing methods essential. This technology coalesces recirculation of water used in aquaculture and hydroponics for crop supplement and water recycle; reduction of pollution and enhancement of efficiency and yield. Hydroponics and aquaculture is proposed in this paper on a combinatory solution for better agriculture practice. Intelligent monitoring of water quality and nutrient circulation can be abstracted, tabulated and summarized. This paper popularizes the implementation of IoT in aquaponics.
Area and Power Efficient Fused Floating-point Dot Product Unit based on Radix-2r Multiplier & Pipeline Feedforward-Cutset-Free Carry-Lookahead Adder
Authors: K. Rama Naidu M. Madhu Babu, 
Published: April 2021

Fused floating point operations play a major role in many DSP applications to reduce operational area & power consumption. Radix-2r multiplier (using 7-bit encoder technique) & pipeline feedforward-cutset-free carry-lookahead adder(PFCF-CLA) are used to enhance the traditional FDP unit. Pipeline concept is also infused into system to get the desired pipeline fused floating-point dot product (PFFDP) operations. Synthesis results are obtained using 60nm standard library with 1GHz clock. Power consumption of single & double precision operations are 2.24mW & 3.67mW respectively. The die areas are 27.48 mm2 , 46.72mm2 with an execution time of 1.91 ns , 2.07 ns for a single & double precision operations respectively. Comparison with previous data has also been performed. The area-delay product(ADP) & power-delay product(PDP) of our proposed architecture are 18%,22% & 27%,18% for single and double precision operations respectively.
CONTEXT STORAGE USING CLOUD-BASED MONGODB WITH RULE-BASED RETE ALGORITHM
Authors: Et. al. Shivakumar. C, 
Published: April 2021

In this Context-aware computing era, everything is being automated and because of this, smart system’s count been incrementing day by day. The smart system is all about context awareness, which is a synergy with the objects in the system. The result of the interaction between the users and the sensors is nothing but the repository of the vast amount of context data. Now the challenging task is to represent, store, and retrieve context data. So, in this research work, we have provided solutions to context storage. Since the data generated from the sensor network is dynamic, we have represented data using Context dimension tree, stored the data in cloud-based ‘MongoDB’, which is a NoSQL. It provides dynamic schema and reasoning data using If-Then rules with RETE algorithm. The Novel research work is the integration of NoSQL cloud-based MongoDB, rule-based RETE algorithm and CLIPS tool architecture. This integration helps us to represent, store, retrieve and derive inferences from the context data efficiently..
PREDICTIVE ANALYTICS USING DEEP NEURAL NETWORKS
Authors: Et. al. Ranjana Durai, 
Published: April 2021

Several studies indicate that teaching methods have a significant impact on the academic performance of the students. Similarly, they also connote a substantial dependance of a student’s performance on the methods and techniques they employ in their study schedule. In this project, a model based on Deep Neural Network (DNN) has been deployed for the Predictive Analysis of a student’s performance was tested for results. Furthermore, this model also aims at recommending study methodologies to students based upon the psychometric features derived from a self-analysis questionnaire that was prepared for the same.
Various factors that influence the performance of a student were identified and corresponding data was collected. This includes internal assessment scores, scores in the 10th grade and 12th grade board exams, attendance percentage for the particular semester and travel duration, availability internet connection facility, number of arrears among the others. This model was implemented on data of the student batches graduating in years in the duration of 2016-22. Test data evaluation presents an accuracy of 96.3% in the prediction of the student performance.
Fleet maintenance using IOT technology
Authors: Dr. Ramkrishna Manatkar Surabhi Hatagale, 
Published: April 2021

In fleet management, fleet maintenance is an important exposure to increase availability. Periodic and preventive maintenance is one such crucial aspect which is considered regardless of the practical faults which in sets of the need for repair and replacement cost as well time attached with it. With development in technology IOT and big data have been in talks. With all the data that is being produced predictive maintenance can be performed using this technology. IOT based predictive maintenance can increase fleet availability, stability and efficiency, reduced cost through effective maintenance planning and eliminate unnecessary maintenance tasks.
PREDICTIVE MACHINE LEARNING (ML) ALGORITHM USING IOT FRAMEWORK FOR NOVEL CORONA VIRUS (COVID-19)
Authors: Mylavarapu Kalyan Ram G. S. N. Murthy, M. V. Sangameswar, Venubabu Rachapudi, 
Published: April 2021

During earlier months of the pandemic COVID-19 with no recommended cure or vaccine available only solution to destroy the chain is self-isolation which can be maintained by physical distancing. This is now understood that the world require much faster solution to accommodate and deal with the future COVID-19 spread over the world by non-clinical methods namely data mining, augmented intelligence and several Artificial Intelligence (AI) techniques. It has become a huge hindrance to mitigate for the healthcare industry to provide more potential involved for patient's diagnosis and also for effective prognosis of 2019-CoV pandemic. Therefore, the proposed framework is implemented with the Internet of Things (IoTs) in healthcare industry for collecting the symptom data of real-time that is beneficial in predicting whether the person gets infected with COVID-19 virus or not. This can be done through various signs namely body temperature, blood oxygen level, headache, coughing patterns, etc. Thus, the research work focused on faster identification of COVID-19 virus infection cases potentially using Machine Learning (ML) algorithm from the real-time symptom data. Moreover, the obtained results have illustrated that K-Nearest Neighbour (KNN) algorithm is highly efficient while compared with other ML algorithms such as Naive Bayes and Logistic Regression (LR) in predicting the possible recovery of the infected patients from pandemic COVID-19 with the accuracy of 96.85%.
Role of Government to boost exports of Gems & Jewellery from India
Authors: Dr. Vani Kamath Hemant Kumar Tantia, 
Published: April 2021

India’s present foreign exchange earnings from Gems and jewellery sector is in the range of US$ 36 to 43 billion per annum during last five year from 2015 to 2020. Being huge potential of its growth, the government has set an annual target of USD 75 billion in jewellery exports by the year 2025. (Source – GJEPC India, Ministry of Commerce & Industry). In order to achieve this daunting goal, the government has declared Gems and Jewellery sectors a focus area for export promotion and under taken various measures to boost its exports by way of liberalisation in export policy, extending financial support, technology up gradation and skill development .This research paper attempts to analyse the various strategies adopted by the government to achieve the set target. For this research, primary and secondary data have been collected and analysed. The findings of the study would be very useful for the growth of exports.
IMPACT OF COVID-19 ON SUPPLY CHAIN AND LOGISTICS
Authors: Et. al. Mrs. Aparna Lalitkumar Patil 
Published: April 2021

In early January 2020, coronavirus outbreak started to build up as a pandemic in the city of Wuhan in China, leading to social, human as well as economic disturbance, leaving no life untouched. COVID-19, the coronavirus pandemic impacted the production, logistics as well as the supply chain system in the entire world. As companies, around the globe are trying to repair their shattered value chains in the short-term and reduce their supply chain risks in the long-term, India also has an exclusive chance to emerge as a business terminus during and after the COVID-19 pandemic.
Género, belleza y pretensiones artísticas en el campo de las peluquerías
Authors: Arango Gaviria Luz Gabriela 
Published: April 2021

Con base en los resultados de una investigación cualitativa (2010), abordo los salones de belleza y peluquerías de Bogotá, Colombia, como campo de producción de una oferta de posibilidades estilísticas. En diálogo con la crítica feminista a la belleza, analizo los modos en que el género interviene en los discursos y las prácticas de mujeres y hombres estilistas que acuden a una idea de arte para significar su trabajo, construir su identidad y defender el valor simbólico de su profesión u oficio. Distingo tres tipos de experiencias y estrategias: varones artistas del diseño de imagen en la alta peluquería; barberos y peinadoras afrocolombianos; mujeres artistas y peluqueras transgresoras. Las luchas simbólicas en las que participan estilistas y peluqueros muestran la variedad de usos posibles de valores compartidos como el arte, la belleza o lo moderno, y cómo estos usos son configurados por relaciones de género, clase, etnicidad y raza.
Psychological Continuum of Elderly Patients Suffering from Arterial Hypertension with Metabolic Syndrome, Against the Background of Chronotherapy with a Fixed Combination of Amlodipine, Lisinopril and Rosuvastatin
Authors: Agarkov N. M. , Okhotnikov O. I. , Korneeva S. I. , Moskaleva E. O. , Moskalev A. A. , Kolomiets V. I. , Markelova A. M. , Markelova E. A. 
Published: April 2021

Aim To study the psychological continuum in elderly patients with arterial hypertension associated with metabolic syndrome during the chronotherapy with a fixed combination (FC) of amlodipine, lisinopril, and rosuvastatin.Material and methods In the inpatient conditions, 63 patients aged 60–74 years with arterial hypertension associated with metabolic syndrome were treated with chronotherapy with a FC of amlodipine, lisinopril, and rosuvastatin (5 / 10 / 10 mg/day in the evening). These patients composed the main group. The control group (58 patients aged 60–74 years with arterial hypertension associated with metabolic syndrome) was treated with the FC of amlodipine, lisinopril, and rosuvastatin at the same dose of 5 / 10 / 10 mg/day in the morning.Results At one year, the disorders of psychological continuum were significantly decreased with the chronotherapy (evening dosing) with the antihypertensive FC of amlodipine, lisinopril, and rosuvastatin compared to the traditional treatment (morning dosing) at the same dose of 5 / 10 / 10 mg/day in both groups. With the chronotherapeutic approach, the dynamic of cognitive disorders in patients aged 60–74 years with arterial hypertension associated with metabolic syndrome was characterized by a significant increase in the Mini-Mental-State-Examination scale score from 17.8±0.3 at baseline to 23.5±0.4 with the evening dosing (р<0.001) vs. the increase from 16.9±0.3 to 20.4±0.4 (р<0.001) with the morning dosing. The situational anxiety score decreased from 40.0±2.2 to 30.6±1.8 (р<0.05) and from 40.8±2.5 to 33.5±1.9  (р<0.05), and the trait anxiety score decreased from 48.8±2.0 to 26.4±1.9 (р<0.001) and from 44.9±1.9 to 30.7±1.7  (р<0.01) with the evening and morning dosing, respectively. Depressive disorders slightly decreased with the chronotherapy by 14.1 % vs. 7.7 % with the traditional regimen; nevertheless, they were consistent with depressive spectrum disorders in both groups.Conclusion The study results showed a higher effectiveness of the chronotherapeutic treatment compared to the traditional treatment with FC of amlodipine, lisinopril, and rosuvastatin in arterial hypertension with metabolic syndrome.