bluuebunny/crossref_metadata_2025 huggingface dataset:
Repair of Critical Size Bone Defects Using Synthetic Hydroxyapatite or Xenograft with or without the Bone Marrow Mononuclear Fraction: A Histomorphometric and Immunohistochemical Study in Rat Calvaria
Authors: Pires Jorge Luís da Silva , de Carvalho Jorge José , Pereira Mario José dos Santos , Brum Igor da Silva , Nascimento Ana Lucia Rosa , dos Santos Paulo Gonçalo Pinto , Frigo Lucio , Fischer Ricardo Guimaraes
Published: May 2021

Bone defects are a challenging clinical situation, and the development of hydroxyapatite-based biomaterials is a prolific research field that, in addition, can be joined by stem cells and growth factors in order to deal with the problem. This study compares the use of synthetic hydroxyapatite and xenograft, used pure or enriched with bone marrow mononuclear fraction for the regeneration of critical size bone defects in rat calvaria through histomorphometric (Masson’s staining) and immunohistochemical (anti-VEGF, anti-osteopontin) analysis. Forty young adult male rats were divided into five groups (n = 8). Animals were submitted to critical size bone defects (Ø = 8 mm) in the temporoparietal region. In the control group, there was no biomaterial placement in the critical bone defects; in group 1, it was filled with synthetic hydroxyapatite; in group 2, it was filled with xenograft; in group 3, it was filled with synthetic hydroxyapatite, enriched with bone marrow mononuclear fraction (BMMF), and in group 4 it was filled with xenograft, enriched with BMMF. After eight weeks, all groups were euthanized, and histological section images were captured and analyzed. Data analysis showed that in groups 1, 2, 3 and 4 (received biomaterials and biomaterials plus BMMF), a significant enhancement in new bone matrix formation was observed in relation to the control group. However, BMMF-enriched groups did not differ from hydroxyapatite-based biomaterials-only groups. Therefore, in this experimental model, BMMF did not enhance hydroxyapatite-based biomaterials’ potential to induce bone matrix and related mediators.
Synthetic Injectable Biomaterials for Alveolar Bone Regeneration in Animal and Human Studies
Authors: Tomas Matej , Čandrlić Marija , Juzbašić Martina , Ivanišević Zrinka , Matijević Nikola , Včev Aleksandar , Cvijanović Peloza Olga , Matijević Marko , Perić Kačarević Željka
Published: May 2021

After tooth extraction, the alveolar ridge undergoes dimensional changes. Different bone regeneration biomaterials are used to reduce bone loss. The aim of this article was to systematically review the literature on the effect of injectable synthetic biomaterials and their advantages and disadvantages for new bone formation in the maxilla and mandible in animals and humans. A literature search was conducted in November 2020 via MEDLINE PubMed, Cochrane, and Embase. Of the 501 records screened, abstract analysis was performed on 49 articles, resulting in 21 studies that met the inclusion criteria. Animal studies have shown heterogeneity in terms of animal models, follow-up time, composition of the injectable biomaterial, and different outcome variables such as bone–implant contact, newly formed bone, and peri-implant bone density. Heterogeneity has also been demonstrated by human studies. The following outcomes were observed: newly formed bone, connective tissue, residual injectable bone graft substitute, radiographic density, residual bone height, and different follow-up periods. Further studies, especially in humans, based on the histological and biomechanical properties of the injectable delivery form, are needed to draw more concrete conclusions that will contribute to a better understanding of the benefits of this type of biomaterials and their role in bone regeneration.
Silver Doped Magnesium Ferrite Nanoparticles: Physico-Chemical Characterization and Antibacterial Activity
Authors: Fantozzi Erika , Rama Erlinda , Calvio Cinzia , Albini Benedetta , Galinetto Pietro , Bini Marcella
Published: May 2021

Spinel phases, with unique and outstanding physical properties, are attracting a great deal of interest in many fields. In particular, MgFe2O4, a partially inverted spinel phase, could find applications in medicine thanks to the remarkable antibacterial properties attributed to the generation of reactive oxygen species. In this paper, undoped and Ag-doped MgFe2-xAgxO4 (x = 0.1 and 0.3) nanoparticles were prepared using microwave-assisted combustion and sol–gel methods. X-ray powder diffraction, with Rietveld structural refinements combined with micro-Raman spectroscopy, allowed to determine sample purity and the inversion degree of the spinel, passing from about 0.4 to 0.7 when Ag was introduced as dopant. The results are discussed in view of the antibacterial activity towards Escherichia coli and Staphylococcus aureus, representative strains of Gram-negative and Gram-positive bacteria. The sol–gel particles were more efficient towards the chosen bacteria, possibly thanks to the nanometric sizes of metallic silver, which were well distributed in the powders and in the spinel phase, with respect to microwave ones, that, however, acquired antibacterial activity after thermal treatment, probably due to the nucleation of hematite, itself displaying well-known antibacterial properties and which could synergistically act with silver and spinel.
Pristine and Poly(Dimethylsiloxane) Modified Multi-Walled Carbon Nanotubes as Supports for Lipase Immobilization
Authors: Sulym Iryna , Zdarta Jakub , Ciesielczyk Filip , Sternik Dariusz , Derylo-Marczewska Anna , Jesionowski Teofil
Published: May 2021

The presented study deals with the fabrication of highly stable and active nanobiocatalysts based on Candida antarctica lipase B (CALB) immobilization onto pristine and poly(dimethylsiloxane) modified MWCNTs. The MWCNTs/PDMS nanocomposites, containing 40 wt.% of the polymer with two molecular weights, were successfully synthesized via adsorption modification. The effect of PDMS chains length on the textural/structural properties of produced materials was studied by means of the nitrogen adsorption–desorption technique, Raman spectroscopy, and attenuated total reflectance Fourier transform infrared spectroscopy. P-MWCNTs and MWCNTs/PDMS nanocomposites were tested as supports for lipase immobilization. Successful deposition of the enzyme onto the surface of P-MWCNTs and MWCNTs/PDMS nanocomposite materials was confirmed mainly using ATR-FTIR spectroscopy. The immobilization efficiency, stability, and catalytic activity of the immobilized enzyme were studied, and the reusability of the produced biocatalytic systems was examined. The presented results demonstrate that the produced novel biocatalysts might be considered as promising materials for biocatalytic applications.
A Multi-Phase Based Multi-Application Mapping Approach for Many-Core Networks-on-Chip
Authors: Ge Fen , Cui Chenchen , Zhou Fang , Wu Ning
Published: May 2021

More and more attention is being paid to the use of massive parallel computing performed on many-core Networks-on-Chip (NoC) in order to accelerate performance. Simultaneously deploying multiple applications on NoC is one feasible way to achieve this. In this paper, we propose a multi-phase-based multi-application mapping approach for NoC design. Our approach began with a rectangle analysis, which offered several potential regions for application. Then we mapped all tasks of the application into these potential regions using a genetic algorithm, and identified the one which exhibited the strongest performance. When the packeted regions for each application were identified, a B*Tree-based simulated annealing algorithm was used to generate the optimal placement for the multi-application mapping regions. The experiment results show that the proposed approach can achieve a considerable reduction in network power consumption (up to 23.45%) and latency (up to 24.42%) for a given set of applications.
Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires
Authors: Pérez-Porras Fernando-Juan , Triviño-Tarradas Paula , Cima-Rodríguez Carmen , Meroño-de-Larriva Jose-Emilio , García-Ferrer Alfonso , Mesas-Carrascosa Francisco-Javier
Published: May 2021

Wildfires are becoming more frequent in different parts of the globe, and the ability to predict when and where they will occur is a complex process. Identifying wildfire events with high probability of becoming a large wildfire is an important task for supporting initial attack planning. Different methods, including those that are physics-based, statistical, and based on machine learning (ML) are used in wildfire analysis. Among the whole, those based on machine learning are relatively novel. In addition, because the number of wildfires is much greater than the number of large wildfires, the dataset to be used in a ML model is imbalanced, resulting in overfitting or underfitting the results. In this manuscript, we propose to generate synthetic data from variables of interest together with ML models for the prediction of large wildfires. Specifically, five synthetic data generation methods have been evaluated, and their results are analyzed with four ML methods. The results yield an improvement in the prediction power when synthetic data are used, offering a new method to be taken into account in Decision Support Systems (DSS) when managing wildfires.
Path Planning for Mobile-Anchor Based Wireless Sensor Networks Localization: Obstacle-Presence Schemes
Authors: Yildiz Dogan , Karagol Serap
Published: May 2021

In many Wireless Sensor Network (WSN) applications, the location of the nodes in the network is required. A logical method to find Unknown Nodes (UNNs) in the network is to use one or several mobile anchors (MAs) equipped with GPS units moving between UNNs and periodically broadcast their current location. The main challenge at this stage is to design an optimum path to estimate the locations of UNNs as accurately as possible, reach all nodes in the network, and complete the localization process as quickly as possible. This article proposes a new path planning approach for MA-based localization called Nested Hexagon Curves (NHexCurves). The proposed model’s performance is compared with the performance of five existing static path planning models using Weighted Centroid Localization (WCL) and Accuracy Priority Trilateration (APT) localization techniques in the obstacle-presence scenario. With the obstacle-handling trajectories used for the models, the negative impact of the obstacle on the localization is reduced. The proposed model provides full coverage and high localization accuracy in the obstacle-presence scenario. The simulation results show the advantages of the proposed path planning model with the H-curve model over existing schemes.
Video Slice: Image Compression and Transmission for Agricultural Systems
Authors: Kawai Takaaki
Published: May 2021

When agricultural automation systems are required to send cultivation field images to the cloud for field monitoring, pay-as-you-go mobile communication leads to high operation costs. To minimize cost, one can exploit a characteristic of cultivation field images wherein the landscape does not change considerably besides the appearance of the plants. Therefore, this paper presents a method that transmits only the difference data between the past and current images to minimize the amount of transmitted data. This method is easy to implement because the difference data are generated using an existing video encoder. Further, the difference data are generated based on an image at a specific time instead of the images at adjacent times, and thus the subsequent images can be reproduced even if the previous difference data are lost because of unstable mobile communication. A prototype of the proposed method was implemented with a MPEG-4 Visual video encoder. The amount of transmitted and received data on the medium access control layer was decreased to approximately 1/4 of that when using the secure copy protocol. The transmission time for one image was 5.6 s; thus, the proposed method achieved a reasonable processing time and a reduction of transmitted data.
Auto-Refining Reconstruction Algorithm for Recreation of Limited Angle Humanoid Depth Data
Authors: Kulikajevas Audrius , Maskeliūnas Rytis , Damaševičius Robertas , Wlodarczyk-Sielicka Marta
Published: May 2021

With the majority of research, in relation to 3D object reconstruction, focusing on single static synthetic object reconstruction, there is a need for a method capable of reconstructing morphing objects in dynamic scenes without external influence. However, such research requires a time-consuming creation of real world object ground truths. To solve this, we propose a novel three-staged deep adversarial neural network architecture capable of denoising and refining real-world depth sensor input for full human body posture reconstruction. The proposed network has achieved Earth Mover and Chamfer distances of 0.059 and 0.079 on synthetic datasets, respectively, which indicates on-par experimental results with other approaches, in addition to the ability of reconstructing from maskless real world depth frames. Additional visual inspection to the reconstructed pointclouds has shown that the suggested approach manages to deal with the majority of the real world depth sensor noise, with the exception of large deformities to the depth field.
An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network
Authors: Liu Guoyang , Zhou Weidong , Tian Lan , Liu Wei , Liu Yingjian , Xu Hanwen
Published: May 2021

Recently, deep learning approaches, especially convolutional neural networks (CNNs), have attracted extensive attention in iris recognition. Though CNN-based approaches realize automatic feature extraction and achieve outstanding performance, they usually require more training samples and higher computational complexity than the classic methods. This work focuses on training a novel condensed 2-channel (2-ch) CNN with few training samples for efficient and accurate iris identification and verification. A multi-branch CNN with three well-designed online augmentation schemes and radial attention layers is first proposed as a high-performance basic iris classifier. Then, both branch pruning and channel pruning are achieved by analyzing the weight distribution of the model. Finally, fast finetuning is optionally applied, which can significantly improve the performance of the pruned CNN while alleviating the computational burden. In addition, we further investigate the encoding ability of 2-ch CNN and propose an efficient iris recognition scheme suitable for large database application scenarios. Moreover, the gradient-based analysis results indicate that the proposed algorithm is robust to various image contaminations. We comprehensively evaluated our algorithm on three publicly available iris databases for which the results proved satisfactory for real-time iris recognition.
Statistical Methods for Degradation Estimation and Anomaly Detection in Photovoltaic Plants
Authors: Dimitrievska Vesna , Pittino Federico , Muehleisen Wolfgang , Diewald Nicole , Hilweg Markus , Montvay Andràs , Hirschl Christina
Published: May 2021

Photovoltaic (PV) plants typically suffer from a significant degradation in performance over time due to multiple factors. Operation and maintenance systems aim at increasing the efficiency and profitability of PV plants by analyzing the monitoring data and by applying data-driven methods for assessing the causes of such performance degradation. Two main classes of degradation exist, being it either gradual or a sudden anomaly in the PV system. This has motivated our work to develop and implement statistical methods that can reliably and accurately detect the performance issues in a cost-effective manner. In this paper, we introduce different approaches for both gradual degradation assessment and anomaly detection. Depending on the data available in the PV plant monitoring system, the appropriate method for each degradation class can be selected. The performance of the introduced methods is demonstrated on data from three different PV plants located in Slovenia and Italy monitored for several years. Our work has led us to conclude that the introduced approaches can contribute to the prompt and accurate identification of both gradual degradation and sudden anomalies in PV plants.
Scheduled QR-BP Detector with Interference Cancellation and Candidate Constraints for MIMO Systems
Authors: Park Sangjoon
Published: May 2021

In this paper, a QR-decomposition-based scheduled belief propagation (BP) detector with interference cancellation (IC) and candidate constraints is proposed for multiple-input multiple-output (MIMO) systems. Based on a bipartite graph generated from an upper triangular channel matrix following linear transformation using QR decomposition, the proposed detector performs a sequential message updating procedure between bit nodes. During this updating procedure, candidate constraints are imposed to restrict the number of possible candidate vectors for the calculation of observation-to-bit messages. In addition, after obtaining the soft message corresponding to the bit sequence in each transmit symbol, a hard-decision IC operation is performed to reduce the size of the bipartite graph and indirectly update the messages for the remaining symbols. Therefore, the proposed scheme provides a huge complexity reduction compared to conventional BP detectors that perform message updating by using all related messages directly. Simulation results confirm that the proposed detector can achieve suboptimum error performance with significantly improved convergence speed and reduced computational complexity compared to conventional BP detectors in MIMO systems.
Leveraging CSR for Sustainability: Assessing Performance Implications of Sustainability Reporting in a National Business System
Authors: Sideri Labrini
Published: May 2021

In the light of Agenda 2030 awareness of sustainability is steadily growing all over the world. Devastating phenomena like pandemics (Sustainable Development Goal 3 (SDGs—Agenda 2030)), poverty (Sustainable Development Goal 1 (SDGs—Agenda 2030)) as well as climate change (Sustainable Development Goal 13 (SDGs—Agenda 2030)) threaten humanity, calling for more sustainable solutions. Although economic growth (Sustainable Development Goal 8 (SDGs—Agenda 2030)) is one of the principal goals for a sustainable future, little research has been devoted to the interface of corporate social responsibility (CSR) and sustainability and their contribution to the financial sector, in view of sustainable banking. Even fewer are the studies concerning sustainable banking in Greece. This paper attempts a comparative overview of sustainability integration into businesses, focusing on the banking industry. The current theoretical analysis initially provides an extended review of the CSR and sustainability concepts, which is followed by a comprehensive analysis of non-financial disclosures (NFDs) and their business value, providing some evidence from Greece. The following sections refer to the performance implications and sustainability integration in the banking industry. Eventually, sustainable banking seems to enhance banking performance in a national business system. This is a very important deduction for sustainability to be both the cause and effect of corporate banking. Along with the discussion, some avenues for future research are highlighted.
Mapping the Research Trends of Household Waste Recycling: A Bibliometric Analysis
Authors: Shi Kun , Zhou Yi , Zhang Zhen
Published: May 2021

Household waste recycling has been widely considered the key to reducing the pollution caused by municipal solid waste and promoting sustainable development. This article aims to clarify the status and map the research trends in the field of household waste recycling. Bibliometric analysis is performed using bibliometrix based on publications during 1991–2020 in the Web of Science database. Results show that academic output in this field is growing rapidly. The top contributing authors, countries, institutions, and journals are identified. Collaboration network of authors, institutions, and countries are created and visualized. The most influential and cited articles in this field mainly focus on factors influencing residents’ recycling behavior from the perspectives of sociopsychology and economics. The theory of planned behavior is the most widely used psychological model. Other research hotspots include electronic waste, source separation, life cycle assessment, sustainability, organic waste, and circular economy. Studies on household waste recycling have become more and more comprehensive and interdisciplinary with the evolution of research themes.
Linking Lipid Metabolism with Cell Transformation and Tumor Progression
Authors: Zuo Meng Si , Yang Jia Yu , Wang Pei Yun , Yang Hai Ou , Ba Yi
Published: May 2021

Carbohydrates, lipids, and proteins are the three major nutrients required by the human body. The lipids, comprising triglycerides, phospholipids, and sterols, provide energy and essential fatty acids for the body, and are required for the growth and maintenance of human cells and tissues. A variety of lipid molecules and their intermediates are involved in cell signaling and inflammation, and have been reported to promote tumor transformation and progression. Fatty acid biosynthetic enzymes are also involved in the lipid metabolism of tumors. Dyslipidemia is closely related to many solid tumors, and may both play a role in both tumorigenesis and be a consequence of tumor development. Therefore, abnormal lipid metabolism is strongly associated with tumor transformation and progression. This review discusses the signaling pathways, related genes, enzymes, and inflammatory cell factors involved in tumor lipid metabolism, as well as the roles of dyslipidemia in tumor transformation and progression. We believe the information provided will serve as valuable reference highlighting molecules that can be targeted to improve the treatment of tumors.
Nutritional Profile of Oncology Patients from an Outpatient Nutritional Service in Brazil
Authors: Pigioni Vanessa Batista , Manca Camila Sanches , Chiarello Paula Garcia , Sicchieri Juliana Maria Faccioli
Published: May 2021

Objective

To characterize the nutritional variables of patients referred to an outpatient oncology nutrition service.

Methods

The electronic medical records of patients diagnosed with malignant neoplasms were analyzed for several parameters: weight loss, body mass index (BMI), hand-grip strength (HGS), fat-free mass index (FFMI) and serum C-reactive protein (CRP). Statistical methods included Pearson’s correlation (significance was set at P ≤ 0.05).

Results

There was a high prevalence of malnutrition (44%, n = 28) and sarcopenia (61%, n = 23) and a relatively low prevalence of cachexia (13%, n = 6). Moderate positive correlations were observed between the tumor site and CRP level, correlation r = 0.328 (P = 0.026); the tumor site and BMI (r = 0, P = 0.001); FFMI and BMI (r = 0.606, P = 4.334056e-005) and CRP and weight loss (r = 0.355, P = 0.024). There were negative correlations between the tumor staging and BMI r = -0.409, P = 0.001) and weight loss and FFMI (r = -0.467, P = 3,228325e-004).

Conclusion

These preliminary findings may help institutions implement nutritional approaches, such as the adoption of a line-ofcare focused on nutrition in the department of oncology.
PKM Menjadikan Bumdes Lempong Mandiri Sebagai Lembaga Usaha Desa Yang Berkualitas
Authors: Ristantiya Siva , Ardani Yakob , Hartanto Tri
Published: May 2021

Bumdes Lempong Mandiri didirikan belum  genap 2 tahun, memiliki usaha dalam bidang jasa. Rencananya dalam waktu dekat bumdes akan menambahkan usaha dalam bidang produk. Jasa-jasa tersebut, yaitu: Pengelolaan Air Bersih, Pengelolaan Listrik, Pengelolaan Bank Sampah, Pengembangan Desa Wisata (Guo Tlorong). Tujuan pengabdian ini adalah untuk menjadikan Bumdes Lempong Mandiri sebagai lembaga usaha desa yang berkualitas, yang mampu melayani masyarakat untuk mencapai kesejahteraan bersama. Metode yang digunakan dalam pengabdian ini adalah  metode pendampingan secara daring melalui platform panggilan telepon (offline), whatsapp video call, dan whatsapp chatting. Yang menghasilkan data primer yang bersumber langsung dari sekretaris BUMDes Lempong Mandiri yaitu Ibu Siti.
Pengabdian Kepada Masyarakat Melalui Revitalisasi BUMDes Sebagai Layanan Sosial Pada Bamuju Bamara Desa Sungai Tabuk
Authors: NP Aditama , Edi Winarto Agus , Firmansyah
Published: May 2021

Karya tulis ilmiah ini berjudul Pengabdian Kepada Masyarakat melalui Revitalisasi BUMDes sebagai Layanan Sosial pada Bamaju Bamara Pada Desa Sungai Tabuk Kecamatan Pantai Lunci Kabupaten Sukamara - Kalimantan Tengah. Tujuan pengabdian ini adalah untuk mengetahui manajemen pengelolaan desa wisata, untuk mengetahui kemampuan sumber daya manusia dalam mengelola desa wisata dan untuk mengetahui upaya pengelolaan sarana dan prasarana di lokasi wisata. Metode pendampingan yang dilakukan adalah dengan metode pendampingan secara daring melalui platform panggilan telepon (offline), whatsapp video call, dan whatsapp chatting. Yang menghasilkan data primer yang bersumber langsung dari direktur BUMDes Bamaju Bamara sendiri yaitu Pak Agus Edi Winarto.Kesimpulan dari pengabdian kepada masyarakat ini adalah perlunya mengadakan penyuluhan, pelatihan dan simulasi serta kunjungan langsung ke lokasi wisata untuk melihat hal-hal yang harus diperhatikan sebagai upaya mewujudkan desa wisata di Desa Sungai Tabuk Kecamatan Pantai Lunci Kabupaten Sukamara - Kalimantan Tengah. Masyarakat perlu dibekali dengan pengetahuan dan informasi bagaimana caranya agar dapat mengelola desa wisata dan memiliki kesadaran untuk memajukan wisata di desanya sehingga terwujud desa wisata.
Happiness and Satisfaction after 1 Year of the COVID-19 Pandemic
Authors: Dwidienawati Diena , Tjahjana David , Gandasari Dyah , Faisal M.
Published: May 2021

The impact of the COVID-19 pandemic is on human health and other aspects of human life. The government's most common action to prevent the spread of the infection is mobility restriction. The implication of this mobility restriction is the limitation of social activities can be done. Mobility restriction was implemented in Jakarta and its surrounding cities and impacted more than 20 million people. The previous study showed that mobility restriction impacted people's happiness and life satisfaction. After one year of COVID-19 measure implementation, is the adaption effect applied? This study aims to see whether, after one year of the COVID-19 pandemic, people are starting to adapt, and their well-being level is improving compared to the beginning of the COVID-19 pandemic. A survey was conducted in February - March 2021. Happiness and satisfaction with life were measured using the Subjective Happiness Scale and Satisfaction with Life Scale. The reliability and validity of measures were analyzed with SPSS. The study reveals that the participant's happiness level was only slightly happy, and the level of satisfaction was only slightly satisfied. The participants claim that their happiness has deteriorated during mobility restriction (58%). Fifty-eight percent felt their satisfaction has deteriorated. The student's group is shown as the most impacted group in their happiness and life satisfaction scale.
The Relationship between Human Resource Management and Corporate Social Responsibility: A Critical Review
Authors: Siddiqi Zaibunnisa , Mirani Manzoor Ali , Nasim Shahzad , Shamshir Musarrat , Nisar Sidra
Published: May 2021

An increasing number of organizations are focusing not only on creating value but also on ethical, social, and environmental perspectives. Traditionally, organizations mostly encompassed corporate social responsibility as their activities only in an economically favorable situation. However, corporate social responsibility can be incorporated in organizations with human resource management as a strategic process to recover and sustain the organization's development. Therefore, the study aims to analyze the relation between corporate social responsibility and human resource management and the role of human resource practices with corporate social responsibility in organizational development. From this standpoint, this study provides a systematic review of the concepts of corporate social responsibility, the relation between corporate social responsibility and human resource management, and their effect on the organization's success. Fifty-six articles published during 2004–2020 are selected for review from a descriptive and content perspective to propose a future research direction on a selected topic. The findings of the reviewed literature indicated that a triple bottom line (economic, social, and environmental) attainment is essentially a high-level management-driven operation in the absence of employee participation. Besides, this paper described the importance of corporate social responsibility, the linkage between human resource and corporate social responsibility in the organization, and promoting corporate social responsibility to the organizations and various stakeholders. Finally, this study asserted the connection between these two concepts and inquired management to treat the link as a strategic business decision to control the organization's human capital.
Ecological Index of Fouling Organisms in Different Media In Daruba Morotai Island District
Authors: Alwi Djainudin , Nur Rinto Muhammad , Nurafni  , Koroy Kismanto , Wahab Iswandi , Sofiati Titien , Asy’ari  , Muhammad Sandra , Hakim Rizky Andy
Published: May 2021

On the port pole is very much found biota attached. The biota is barnacles (Balanus sp). The attachment does not only occur in natural substrates. It may also occur in different means of human interest, such as ships and docks. This research is devoted to macroscopic biofouling, whose attachment is massif on the dock pole. This study aims to determine the species and ecological index of biota fouling in different media in the Daruba Morotai Island Regency. The data retrieval method uses a quadratic with a scale of 20×100 cm2. This study used three media, namely wood media (speedboat wooden pier), iron media (speedboat floating pier), and concrete media (Imam Lastori's main pier). Ecological indices analyzed include abundance, Diversity Index, Uniformity Index, and Dominance Index. The analysis results found the most number of macrobiofouling species in the wood medium (7 species). The largest number of individuals found is Branchidontes sp. (661 individuals). The findings of the study of the maximum macrofouling abundance are found in concrete media with a value of 491. Diversity in all media is classified as medium with a value of H' on wood media 1.22, iron media 1.04, and concrete media 1.34. The uniformity index (E) of all three media indicates the uniformity of broad populations with the maximum E found in concrete media 0.84. The study of dominance in wood media by 0.41, iron media 0.48, and concrete media 0.32 showed that dominance is poor.
Effects of Moisture Content and Drying Method on Shelf Life and Quality of Coconut Residue
Authors: Assawarachan Rittichai
Published: May 2021

In this article, the quality changes and shelf life of by-products (coconut residue) obtained after coconut milk extraction were studied using three drying technologies: hot air drying, fluidized bed drying, and flash drying. Among the drying technologies, flash drying was most suitable for fresh coconut residue. It gave the least moisture content with the most stability of whiteness and oil content and the highest drying rate. Dried coconut residue using flash drying has the longest shelf life up to the 140th day with slight changes in the quality when stored in warehouse conditions of 35±1.0oC and 60-75% relative humidity. In terms of specific energy consumption, flash drying required the lowest energy of 8.47±0.50 MJ per kg water removal from fresh coconut residue, whereas hot air drying consumed the highest specific energy.
Strategic Leadership as a Mediating Variable between Organisational Climate and Quality Improvement in Higher Education
Authors: Aboudahr Shorouk Mohamed Farag Mohamed , Mohamad Mua'azam Bin
Published: May 2021

The quality of higher education systems depends mainly on leaders. This study describes how strategic leadership influences organizational climate and enhances the continuous quality improvement of the university. Besides, this study sought to examine the mediating impact of strategic leadership on the relationship between organizational climate and continuous quality improvement in a specific context of Tanta universities in Egypt. A quantitative research design was used in this study. Data were collected from 165 lecturers from the faculty of medicine. For achieving the study's objective, SPSS version 26 and Smart PLS 3.3 software were used to analyze the data. The study revealed that strategic leadership has a full mediating influence on the relationship between organizational climate and continuous quality management. The study suggests that more emphasis should be laid on organizational climate in terms of university sources. Finally, the study concluded that the organizational climate could be improved through strategic leadership. The study recommended that the top management creates a suitable climate that improves quality improvement in Egypt's public university.
Experimental evidences of defect luminescence spanning red to near-infrared in strongly quantum confined sub-4 nm CuInSe2 quantum dots approaching crystallization limit
Authors: Xu Huaixiu , Liang Tianyuan , Ma Wenjie , Ji Xuan , Miao Ruonan , Fan Jiyang
Published: May 2021

The CuInSe2 quantum dots (QDs) are “green” infrared optoelectronic materials with fruitful optically active point defects, but their roles in photodynamics remain unclear. We observe different types of stoichiometry-sensitive emission bands spanning red-near-infrared region in strongly quantum confined CuInSe2 QDs. The saturation of photoluminescence intensity versus excitation power follows law I ∝ P

k
with 0.54 < k <0.94 that is characteristic of defect dominated photon emission. The radiative quantum transitions have lifetimes of 15.2–32.0 μs that are far longer than usual interband transition lifetimes by three orders of magnitude. Multiple defects-involved electron transition processes are revealed.
EVALUATION OF ARTHROSCOPIC ANTERIOR CRUCIATE LIGAMENT RECONSTRUCTION USING BONE-PATELLAR TENDON-BONE GRAFT
Authors: Jain Rahul , Kirar Sunil Kumar
Published: May 2021

AIM- Anterior cruciate ligament (ACL) is most common injured ligament in the knee joint. Surgical management of ACL rupture is technically
demanding as improper reconstruction can lead to an unstable joint. The aim of present study was to nd out the outcome of Arthroscopic
reconstruction of ACLusing Bone patellar tendon bone (BPTB) graft.
METHOD – It is a retrospective observational study where arthroscopic reconstruction of ACLwas done over a period of 5 years. IKDC score was
applied to nd out the outcome of surgery. Strict post operative rehabilitation regime was followed.
RESULT- After evaluation of 25 cases, 60% (15cases) showed very good outcome, 36%(9 cases) showed good outcome and 4% (1 case) showed
poor outcome. Implant related local irritation is seen in 2 patients and low grade infection was seen in 1 patient.
CONCLUSION – Majority of the patients were satised with the result so it is purposeful to perform ACL reconstruction arthroscopically using
BPTB graft.
Use of autologous peripheral blood mononuclear cells in a case of diabetic foot
Authors: Di Vieste, G.
Published: May 2021

The implantation of peripheral blood mononuclear cells (PBMNC), an autologous concentrate with high angiogenic and regenerative capability is an innovative therapeutic approach in the treatment of peripheral arteriopathies of patients with critical limb ischemia. We describe the case of a 59-year-old patient with type 2 diabetes mellitus who had a gangrene of the right toe. The critical limb ischemia required an angioplasty that was ineffective due to the widespread, obstructive, intractable and calcific disease of the distal tibial vessels and of the foot vessels. Because of the therapeutic failure, being the patient otherwise candidated for major amputation, it was decided to use a PBMNC therapy. This approach consists in the inoculation in the perilesional area and along the vascular axes of the affected lower limb of a concentrate of mononuclear cells taken from peripheral blood by using a selective filtration separation system. The patient underwent to amputation of the first necrotic toe and three PBMNC treatment sessions with complete surgical wound haeling and limb rescue. KEYWORDS diabetes mellitus; critical limb ischemia; mononuclear cells therapy.
Approach toward diabetic nephropathy and its management in patients with type 2 diabetes: results of a web-based italian survey
Authors: Borzì, V.
Published: May 2021

AIM The purpose of this survey was to investigate the attitudes and clinical approach of Italian diabetologists toward diabetic nephropathy (DN). METHODS A 28-item web survey was distributed to Italian diabetologists by the Associazione Medici Diabetologi. The first part of the questionnaire was aimed at describing the sample of clinicians involved (age, gender, practice setting, etc.). The second part analyzed more deeply the clinical approach to DN. RESULTS Two hundred and thirty-five clinicians, expert in the field (over 44% have been working as diabetologists for more than 20 years) and well distributed across the country, participated in the survey. The lack of medical care provided from a team remains a main concern, since only in a minority of diabetes centers diabetologists can collaborate with health professionals with expertise and a special interest in diabetes. Screening of DN is performed at first visit by 95% of participants. Urinary albumin creatinine ratio and estimated glomerular filtration rate by CKD-EPI are two approaches used. The relevance of intensive glycemic treatment respect to the onset and progression of DN is mostly considered in patients with microalbuminuria, less frequently in patients with more advanced kidney disease. Almost the totality of participants prescribes renin angiotensin system blocking drugs for the treatment of hypertension, mainly in presence of albuminuria. This class of drugs is less frequently recommended in normotensive patients with microalbuminuria. Regarding the new anti-hyperglycemic drugs, more attention is paid for SGLT2 inhibitors or GLP-1 receptor agonist. CONCLUSIONS The present survey highlights the clinical relevance of DN and the high attention for this diabetic complication by Italian diabetologists. Although the lack of medical care provided from a team remains a main concern, the diabetologists are engaged in promoting educational and screening programs. They are also in keeping with guidelines in choosing antihypertensive treatment or new antihyperglycemic drugs showing to protect kidney function. Finally, participants to the survey declare that they are willing to collaborate with nephrologists, mainly in the more advanced stage of DN. KEY WORDS diabetes mellitus; chronic kidney disease; SGLT2 inhibitors; GLP-1 receptor agonist; diabetic nephropathy.
Risk Priority Number (RPN) assessment in design failure modes and effective analysis for the Automobile Plant using factor analysis
Authors: Prabir Namhata  , Sukanta Kumar Naskar  , Dipankar Bose  , Sushovan Chatterjee
Published: May 2021

In this article, design of failure mode and effect analysis (DFMEA) is a structured qualities analysis of the system, subsystem and components/functions that highlights impending failures modes of which their cause and effects of a failure on system operation. Few years ago, many industries are forced to use design of failure modes and effect analysis (DFMEA) technique to physically powerful their product design and manufacturing process due to the global competitive market. DFMEA is agreed out systematically by brainstorming. The aim of this paper is to in attendance a new approach for evaluation of RPN and failure modes to augment the utility of the traditional DFMEA technique. At the closing stages, the statistical method of the factor analysis was used to confirm the effectiveness.

Keywords: DFMEA; Failure modes and Factor Analysis; Risk Priority Number (RPN)
Визначення постійної поправки електронних віддалемірів методами нелінійного програмування
Authors: Лиско Б. О. , Михайлишин В. П.
Published: May 2021

Розроблено алгоритм опрацювання результатів досліджень постійної поправки електронних тахеометрів. Його суть полягає у використанні методу Гауса та знаходженні мінімуму деякої функції визначення похибок виміряних віддалей. Спочатку було досліджено кількість необхідних вимірювань для приладу: розглянуто вплив кореляційної залежності між величинами інструментальної і випадкової похибок. Далі складено систему рівнянь на підставі залежностей між довжиною виміряного створу та його відрізків у всіх комбінаціях з урахуванням постійної поправки віддалеміра. Отже, отримано умовні рівняння з однією невідомою – постійною поправкою віддалеміра. За наявністю великої кількості вимірювань розв'язання такої системи рівнянь полягає у знаходженні мінімуму деякої функції визначення похибок виміряних віддалей. При цьому найдоцільнішим вибором є критерій мінімізації максимального відхилення, який дає змогу відбракувати грубі помилки у виміряних значеннях. Отже, отримано найімовірніше значення постійної поправки віддалеміра, значення довжин виміряного створу та його відрізків, які будуть узгодженими у всіх можливих комбінаціях. Дослідження здійснено на геодезичному полігоні за оптимальних метеорологічних умов. З'ясовано, що запропоновані технологічні рішення можуть підвищити точність урівноваження значення постійної поправки віддалеміра, довжин виміряного створу та його відрізків, порівняно із відомим методом корелат, мінімум на 10 %. На прикладі дослідження тахеометра SOUTH NTS-350 встановлено, що точність отриманих апроксимованих значень довжин створу і його відрізків практично у три рази вища від задекларованої у технічних характеристиках СКП вимірювання довжин ліній цим самим приладом.
Fixed Term Work Agreement in Law No.11/2020 Concerning Job Creation : A Juridical Analysis
Authors: Erlina Yoshi , Sinaulan Ramlani Lina
Published: May 2021

Pusat perhatian dalam penelitian ini adalah pengaturan tentang pengaturan tentang
perjanjian kerja waktu tertentu (PKWT) dalam UU No.: 13/2003 tentang
Ketenagakerjaan dan UU No.: 11/2020 tentang Cipta Kerja. Tema ini menarik
untuk diteliti untuk mengetahui sejauhmana UU No.: 11/2020 tentang Cipta Kerja,
---produk legislasi dengan metode omnibus law yang pertama di Indonesia---,
memberikan perlindungan hukum yang lebih baik kepada kaum pekerja (buruh)
dibandingkan dengan UU No.: 13/2003. Asumsinya adalah bahwa adanya
pengaturan dan pembatasan yang jelas tentang penggunaan PKWTT, kita dapat
mengetahui sejauhmana hak-hak pekerja mendapat perlindungan yang memadai
dalam suatu sistem hukum dalam berhadapan dengan hak-hak majikan
(perusahaan). Penelitian ini menggunakan metode penelitian hukum normatif,
yakni penelitian hukum yang mencakup: 1). Penelitian terhadap asas-asas hukum;
2). Penelitian terhadap sistematik hukum; 3). Penelitian terhadap taraf sinkronisasi
vertikal dan horisontal; 4). Perbandingan hukum; 5). Sejarah hukum. Metode
penelitian hukum normatif tersebut dikombinasikan dengan gagasan Lon L. Fuller
tentang sistem hukum yang dikenal dengan principles of legality-nya.
Nota Técnica - 2021 - Janeiro - Número 79 - Diset - Implementação da Tecnologia 5G no Contexto da Transformação Digital e Indústria 4.0
Authors: Spadinger Robert
Published: May 2021

O mundo das telecomunicações, da tecnologia da informação e da mídia continua convergindo e influenciando de todas as formas o comportamento das pessoas, das empresas e dos governos. A internet, mais do que nunca, está em todos os meandros de nossas vidas, desde uma simples chamada telefônica, passando por processos internos e controle de empresas, até influenciando e decidindo eleições, sendo a mais poderosa alavanca de transformação da sociedade, responsável por produzir mudanças econômicas, sociais, políticas e culturais em todo o mundo.

O setor de telecomunicações continua sendo fundamental para qualquer país e deve ser visto de forma diferenciada, uma vez que os serviços oferecidos são essenciais para a geração de valor da atual e das futuras gerações. Os desenvolvimentos acontecem de forma tão acelerada que já nem sabemos como era viver sem estes desenvolvimentos, mesmo que tenham acontecido há cerca de vinte anos somente. Hoje, grande parte da população usufrui de serviços móveis através de smartphones, vídeo sob demanda ou internet de alta velocidade por meio de fibras ópticas. Ainda assim, há muito por se fazer, principalmente no que tange à melhoria dos serviços com cobertura adequada.

Se, por um lado, novas tecnologias oferecem novas oportunidades e novos negócios, por outro lado, a própria dinâmica do mercado mostra que algo tem que ser feito em termos regulatórios, para que a infraestrutura seja de fato construída e todos consigam usufruir dela. O negócio telecomunicações mudou muito nos últimos anos. Enquanto inicialmente as empresas de telecomunicações traziam a todos os serviços pela primeira vez e cresciam ano após ano, hoje em dia elas lutam para manter as demandas cada vez maiores e se reinventam constantemente. Neste período, muitas operadoras e fornecedores deixaram de existir, sendo engolidos ou engolindo outros no processo, parte do negócio diriam uns, porém a uma velocidade não vista anteriormente. A demanda por tráfego cresce continuamente, de forma mais acelerada do que os investimentos das operadoras conseguem ser viabilizados.
WATER WAVE SCATTERING BY A THIN VERTICAL SUBMERGED PERMEABLE PLATE
Authors: Gayen Rupanwita , Gupta Sourav , Chakrabarti Aloknath
Published: May 2021

An alternative approach is proposed here to investigate the problem of scattering of surface water waves by a vertical permeable plate submerged in deep water within the framework of linear water wave theory. Using Havelock’s expansion of water wave potential, the associated boundary value problem is reduced to a second kind hypersingular integral equation of order 2. The unknown function of the hypersingular integral equation is expressed as a product of a suitable weight function and an unknown polynomial. The associated hypersingular integral of order 2 is evaluated by representing it as the derivative of a singular integral of the Cauchy type which is computed by employing an idea explained in Gakhov’s book [7]. The values of the reflection coefficient computed with the help of present method match exactly with the previous results available in the literature. The energy identity is derived using the Havelock’s theorems.
Analysis of Time–Distance Helioseismology for Detection of Emerging Active Regions
Authors: Stefan John T. , Kosovichev Alexander G. , Stejko Andrey M.
Published: May 2021

A time–distance helioseismic technique, similar to the one used by Ilonidis et al., is applied to two independent numerical models of subsurface sound-speed perturbations to determine the spatial resolution and accuracy of phase travel time shift measurements. The technique is also used to examine pre-emergence signatures of several active regions observed by the Michelson Doppler Imager and the Helioseismic Magnetic Imager. In the context of similar measurements of quiet-Sun regions, three of the five studied active regions show strong phase travel time shifts several hours prior to emergence. These results form the basis of a discussion of noise in the derived phase travel time maps and possible criteria to distinguish between true and false-positive detection of emerging flux.