Miracle-dz/UniFAR-FTUs huggingface dataset:
InP photonic circuits using generic integration

InP integrated photonics has become a critical enabler for modern telecommunications, and is poised to revolutionize data communications, precision metrology, spectrometry, and imaging. The possibility to integrate high-performance amplifiers, lasers, modulators, and detectors in combination with interferometers within one chip is enabling game-changing performance advances, energy savings, and cost reductions. Generic integration accelerates progress through the separation of applications from a common technology development. In this paper, we review the current status in InP integrated photonics and the efforts to integrate the next generation of high-performance functionality on a common substrate using the generic methodology.
Predicting Angiographic Disease Status: Drawing the line between demographically decoupled and jointly trained models

Objective Application of machine learning predictive models for determining angiographic disease status have the risk of amplifying existing biases towards demographic groups based on age and gender. We formalize the underlying choice between demographically decoupled and jointly trained models and propose a framework that allows domain experts to balance equity with the goal of achieving the most accurate classiﬁer for all demographic groups.
Proximity Fed Triple Band David Fractal 2× 1 Microstrip Patch Array Antenna with DGS

This paper presents a triple band proximity fed 2× 1 array antenna with defected ground plane. The proposed antenna configuration is composed of two radiating elements, and both radiating elements are made of a pattern similar to the first iteration level David fractal geometry. The proposed David fractal 2× 1 array antenna is designed and simulated on an FR-4 substrate of thickness 1.6mm and dielectric constant 4.3 by using the CST Microwave Studio simulation tool. In order to improve the radiation characteristics of the antenna, an H-shaped defect is etched in the ground plane. The antenna is fabricated and tested. The experimental data show good agreements with simulation results. The fabricated triple band fractal 2 × 1 array antenna resonates at 2.527GHz, 3.329GHz, and 3.742GHz having bandwidths of 303MHz, 99MHz, and 102MHz, respectively. The proposed fractal array antenna can be used in mobile applications such as Wi-Fi, WLAN, Bluetooth, and Wi-Max.
PARADOKS PRODUKTIVITAS TEKNOLOGI INFORMASI: ANALISIS KONTRIBUSI MOBILE BRANCH TERHADAP KINERJA BANK MUAMALAT SURABAYA

Investasi teknologi informasi telah menjadi salah satu solusi yang populer dilakukan berbagai perusahaan dalam meningkatkan efisiensi. Di sisi lain banyak penelitian yang membuktikan bahwa tidak selamanya investasi TI memberikan dampak yang signifikan terhadap produktivitas perusahaan. Hal ini memunculkan sebuah fenomena yang disebut IT productivity paradox. Bank Muamalat Surabaya yang menjadi objek penelitian ini tengah melakukan investasi TI melalui penerapan mobile branch sejak tahun 2011. Penelitian terdahulu menilai kontribusi mobile branch menggunakan teori Information Economics (IE) dan menghasilkan skor yang baik yakni 40.5. Meski demikian, skor tersebut belum mencapai titik maksimal yaitu 90. Oleh sebab itu perlu dilakukan penelitian dari sudut pandang di luar IE agar dihasilkan kesimpulan yang lebih komprehensif untuk menentukan apakah investasi mobile branch benar – benar layak untuk dilanjutkan dan dikembangkan.
Dynamic Modeling and Simulation of a 4-Wheel Integral Steering Vehicle

The work deals with the dynamic modeling and simulation of a 4-wheel steering vehicle. The steering system for the front wheels is a classical one (with pinion & rack), while for the rear wheels, a new design with rotational cam & translational follower has been developed by considering the integral steering law. The virtual prototype of the vehicle was modeled - simulated by using the MBS software environment ADAMS of MSC. The results of the dynamic analysis prove the performance of the proposed solution, in terms of handling and stability.
Biological Activities of Aloin-rich Extracts Obtained from Aloe vera L

Aloe vera L. is an important medicinal plant which belonging to the Liliaceae family. This plant has widely been applied in the pharmaceutical, food, and cosmetic industries. In this study, Aloin was extracted from A. vera leaves using ultrasonic and stirring methods. The extract was purified, and their Aloin A and B percentages were determined using HPLC. According to the results, in all samples, the amount of Aloin B was significantly higher than Aloin A. The ethyl acetate extract of dried latex obtained by ultrasonic method had the highest yield (24.50 %) and amount of total Aloin (84.22 %) compared to other samples and methods. Also, the relative percentages of Aloin B and A were 86.48 and 13.52%, respectively. Finally, the antioxidant and cytotoxic properties of Aloin-containing extracts were investigated by DPPH and MTT methods, respectively. According to the results, the ethyl acetate extract of dried latex obtained by ultrasonic method exhibited the highest antioxidant and cytotoxic activities. There was a significant correlation between extracts containing more Aloin and higher biological activity, and extracts with more Aloin had higher biological properties. Therefore, the extract of the dried latex obtained by ultrasonic method was the best sample in terms of the amount of Aloin and biological properties. In conclusion, using the ultrasonic method together with a dried sample provides the most Aloin and biological properties.
Evaluation of the CASTOR social robot in children’s therapy with ASD in social skills

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects social and communication skills. According to the WHO, it is the third most common developmental disability globally, and according to the Colombian Autism League, 1 out of every 160 children has ASD. Therapies target different developmental skills such as language, proprioception, attention, and social skills. These therapies have been adapted to the benefit of patients, which is why social assistance robotics (SAR) has begun to be implemented in these treatments. A study in long-term ASD therapies with the CASTOR social robot of five boys and one girl with ASD in social skills activities is carried out. The results show significant differences in the spontaneous and the therapist-provoked physical interactions. However, the time of visual attention to the therapist increases comparing the first session and the third session. This suggests that physical interaction with the robot is essential during ASD therapies and generates more interest from the participants in the treatment.
Technological Impact in Designing Equipment for Polyethylene Scrap Reprocessing

This explorative article endeavors to identify sectors originating polyethylene products with a substantial repository of recyclable packaging substances and proposes a mechanized appliance which could salvage that ductile packaging scrap and regenerate closely similar product by means of an exotic lamination mechanism. The agenda is to eliminate the scrap which is otherwise to be ragged or ignited in an cremator by pertaining expenditure. Crushing and igniting do not propose any scope to the society and ravage the survival of populace by yielding obnoxious and calumnious flatulencies. However clean technology approach could be adopted to improve social sustainment. The aspiration of this study is to foster an effective mechanized appliance which transform the discarded substances into adaptable goods employing additional lamination mechanism with low investment. The aforesaid arrangement will laminate the scrap foil which is not procurable in the form of reel. This one-on-one lamination mechanism could be far-reaching which eventually reprocess flexible packaging substances and metamorphose into less expensive impermeable and persistent laminas which subsequently deliver several propositions of commonality.
G-CSF augments the neuroprotective effect of conditioned medium of dental pulp stem cells against hypoxic neural injury in SH-SY5Y cells

Objective(s): Dental pulp stem cells (DPSCs) can differentiate into functional neurons and have the potential for cell therapy in neurological diseases. Granulocyte colony-stimulating factor (G-CSF) is a glycoprotein family shown neuroprotective effect in models of nerve damage. we evaluated the protective effects of G-CSF, conditioned media from DPSCs (DPSCs-CM) and conditioned media from transfected DPSCs with plasmid encoding G-CSF (DPSC-CMT) on SH-SY5Y exposed to CoCl2 as a model of hypoxia-induced neural damage. Materials and Methods: SH-SY5Y exposed to CoCl2 were treated with DPSCs-CM, G-CSF, simultaneous combination of DPSCs-CM and G-CSF and finally DPSC-CMT. Cell viability and apoptosis were determined by resazurin (or lactate dehydrogenase (LDH) assay alternatively) and propidium iodide (PI) staining. Western blot analysis was performed to detect changes in apoptotic protein levels. The interleukin-6 and interleukin-10 IL6/IL10 levels were measured with Enzyme-Linked Immunosorbent Assay (ELISA). Results: DPSCs-CM and G-CSF were able to significantly protect SH-SY5Y against neural cell damage caused by CoCl2 according to resazurin and LDH analysis. Also, the percentage of apoptotic cells decreased when SH-SY5Y were treated with DPSCs-CM and G-CSF simultaneously. After transfection of DPSCs with G-CSF plasmid, DPSC-CMT could significantly improve the protection. The amount of β-catenin, cleaved PARP and caspase-3 were significantly decreased and the expression of survivin was considerably increased when hypoxic SH-SY5Y treated with DPSCs-CM plus G-CSF according to Western blot. Decreased level of IL-6/IL-10, which exposed to CoCl2, after treatment with DPSCs-CM indicated the suppression of inflammatory mediators. Conclusion: Combination therapy of G-CSF and DPSCs-CM improved the protective activity.
Analyze the strengths and weaknesses invested in the Arvand free zone impact indexes-convenience province

In recent decades, free zones have been proposed as an effective lever for the growth and improvement of countries’ economies. These zones can play an irreplaceable role in this direction as one of the axes of attracting capital. Identifying opportunities and threats to attract capital in free zones, Removing barriers, creating and providing a suitable platform for attracting domestic and foreign investors, are effective factors in investing in free zones, which in turn lead to economic growth and development of these areas. Considering the significant effects of free zones on the welfare of residents in these areas, the purpose of this study was to investigate the effect of effective factors of domestic and foreign investment in the Arvand Free Zone on economic welfare indicators (per capita income, unemployment rate and inflation) in Khuzestan province. During the period 1385-1396, which at first, while obtaining the opinions of 40 managers, experts and residents of the region in order to formulate appropriate strategies and strategies to achieve the goals of creating the region based on the potential and advantages for domestic and foreign investment, using From the technique (SWOT), we identify the factors affecting the indoor and outdoor environment in order to discover the strengths and weaknesses (internal factors) and threats and opportunities (external factors) and then using the model method to explain with a break Extensive (ARDL) The effect of domestic and foreign investment in the region on welfare indicators in Khuzestan province is examined. The results of this study in the first part of the analysis (SWOT), show that the most important opportunities in the development of free trade zone based on maximum investment attraction, respectively, the ∗Corresponding author Email addresses: s.phd2020@gmail.com (Seyed Ahmad Hossini), jalaee@uk.ac. ir (Seyed Abdolmajid Jalayi), m_roody2000@yahoo.com (Mohsen Zayandeh Rudi) Received: August 2021 Accepted: October 2021 2504 Jalayi, Hossini, Zayandeh Rudi strategic geographical location of the Arvand Free Zone and the use of regional markets. The results of this study in the second part showed that according to the current conditions of the domestic investment region, it has had stronger effects on welfare indicators than foreign investment.
Study on the Clinical Implications of NLR and PLR for Diagnosing Frailty in Maintenance Hemodialysis Patients and Their Correlations with Patient Prognosis

Objective To explore the clinical implications of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for diagnosing frailty in patients with maintenance hemodialysis (MHD) and their correlations with patient prognosis. Methods A total of 185 patients with MHD admitted to the hemodialysis center of our hospital were selected, 72 of whom were diagnosed with frailty according to the Chinese version of Tilburg Frailty Indicator (TFI). The relevant data were collected, and the influencing factors of frailty in MHD patients were analyzed by one-way analysis of variance (ANOVA) and multivariate logistic regression. The value of NLR and PLR in diagnosing frailty in MHD patients was observed, and patients' all-cause mortality was compared during the 3-year follow-up. The influences of different levels of NLR and PLR on the survival of MHD patients were investigated. Results Multivariate regression analysis identified that serum albumin, dialysis adequacy, NLR, and PLR are independent risk factors for frailty in MHD patients (P < 0.05). The area under the receiver operating characteristic (ROC) curve of NLR and PLR in diagnosing frailty in MHD patients was 0.859 and 0.799, respectively. Compared with the nonfrailty group, the 3-year mortality was higher, and the 3-year survival rate assessed by survival analysis was lower in the frailty group (P < 0.05). Patients with high NLR and PLR levels showed a lower 3-year survival rate. Conclusions Dialysis adequacy, serum albumin, NLR, and PLR are independently associated with frailty in MHD patients. NLR and PLR are of a certain diagnostic value for frailty in MHD patients. MHD patients with frailty have an unfavorable prognosis, as of those with high NLR and PLR levels.
Bringing together unlikely innovators: do connective and learning capacities impact collaboration for innovation and diversity of actors?

ABSTRACT Recent scholarly wisdom suggests that public sector organizations (PSOs) should not always innovate alone. Collaboration with diverse actors is often proposed so that more and better innovations can be developed. However, it remains unclear what capacities PSOs need in order to participate in collaborative arrangements for innovation and to collaborate with diverse innovation partners. Using survey data from Belgian federal and Flemish public managers, we show that the connective and learning capacities of PSOs contribute positively to their participation in collaborative arrangements for innovation, and to the diversity of actors with which they collaborate.
Overview and Current Status of Remote Sensing Applications Based on Unmanned Aerial Vehicles (UAVs)

Abstract Remotely Piloted Aircraft (RPA) is presently in continuous development at a rapid pace. Unmanned Aerial Vehicles (UAVs) or more extensively Unmanned Aerial Systems (UAS) are platforms considered under the RPAs paradigm. Simultaneously, the development of sensors and instruments to be installed onboard such platforms is growing exponentially. These two factors together have led to the increasing use of these platforms and sensors for remote sensing applications with new potential. Thus, the overall goal of this paper is to provide a panoramic overview about the current status of remote sensing applications based on unmanned aerial platforms equipped with a set of specific sensors and instruments. First, some examples of typical platforms used in remote sensing are provided. Second, a description of sensors and technologies is explored which are onboard instruments specifically intended to capture data for remote sensing applications. Third, multi-UAVs in collaboration, coordination, and cooperation in remote sensing are considered. Finally, a collection of applications in several areas are proposed, where the combination of unmanned platforms and sensors, together with methods, algorithms, and procedures provide the overview in very different remote sensing applications. This paper presents an overview of different areas, each independent from the others, so that the reader does not need to read the full paper when a specific application is of interest
Security-Aware Routing Protocol Based on Artificial Neural Network Algorithm and 6LoWPAN in the Internet of Things

Today, with increasing information technology such as the Internet of Things (IoT) in human life, interconnection and routing protocols need to find optimal solution for safe data transformation with various smart devices. Therefore, it is necessary to provide an enhanced solution to address routing issues with respect to new interconnection methodologies such as the 6LoWPAN protocol. The artificial neural network (ANN) is based on the structure of intelligent systems as a branch of machine interference, has shown magnificent results in previous studies to optimize security-aware routing protocols. In addition, IoT devices generate large amounts of data with variety and accuracy. Therefore, higher performance and better data handling can be achieved when this technology incorporates data for sending and receiving nodes in the environment. Therefore, this study presents a security-aware routing mechanism for IoT technologies. In addition, a comparative analysis of the relationship between previous approaches discusses with quality of service (QoS) factors such as throughput and accuracy for improving routing mechanism. Experimental results show that the use of time-division multiple access (TDMA) method to schedule the sending and receiving of data and the use of the 6LoWPAN protocol when routing the sending and receiving of data can carry out attacks with high accuracy.
Application of Fading in Expressive Language E-Learning for Autistic Children

Language is a means of communication that gives symbols and meaning to thoughts and feelings to convey messages or information to others, but children with autism have difficulty in expressive language communication. This happened to children with autism in one of the special schools in the city of Sidoarjo who felt it was necessary to intervene with fading stimulus to reduce behavioral and expressive language disorders in childre n with autism. This study aims to determine the effectiveness of fading when applied to children with autism who have expressive language disorders. Identification of the subject, the subject in this study was a boy aged 12 years old who had an autistic spectrum disorder, specifically DSM V. The research instrument used is the observation technique of tally ing behavior and rating scale to measure the behavior of autistic children who experience expressive language barriers. Observation guidelines were compiled based on the characteristics of autism contained in DSM V. This research method used a quantitative approach with experimental methods and used an experimental single -case design. Experiments were carried out by providing Fading intervention on autism subjects who had behavioral and expressive language disorders. The intervention was carried out in 5 sessions (1 -2 hours per session, depending on the subject's response) within 10 days. The data analysis technique that has been collected is analyzed descriptively to describe behavioral changes that show symptoms of expressive language behavior disorders in children with autism. So that it can be concluded. Based on the results of the descriptive analysis, it can be concluded that the fading stimulus can provide a positive response to child ren with autism who experience expressive language behavior disorders. In this study, after being given the intervention for approximately 10 days, the subjects showed a decrease. Suggest ions This research has limitations in its implementation, namely the teacher is less cooperative in carrying out the intervention process. Even so, this study showed a positive change experienced by the subject after giv ing the intervention for 5 sessions.
The Perceived and Effective Performance Evaluation of SMEs Development Projects in Transition Countries

This paper aims to describe and discuss the performance evaluation in local system development projects in Transition Countries, underlining the central role of networking approach as strategic base. On this purpose the paper will consider a synthesis of national and international Literature about the process and structure of performance evaluation system founded on a set of indexes as Efficacy, Efficiency and Adequacy. The research deals the problem related to these projects that often are considered inadequate to trig the local systems development. The hypothesises discussed in the paper take into consideration the different perception of project managers about the instruments used to control project results. Moreover Transition Countries are, in a general way, characterized by an higher potentiality of growth and a lower perception of results obtained by development projects. This concept is deepened considering projects dedicated to SMEs starting up in Transition Countries, managed or participated by University of Bologna - Chair of Business Management, in which emerges a positive Gap between perceived and performance derived from an objective elaboration. Another topic analyzed confirms the relevance of networking attitudes.
Rock Samphire, a Candidate Crop for Saline Agriculture: Cropping Practices, Chemical Composition and Health Effects

The recent market trends for functional healthy foods have rekindled the interest in wild edible species and created a market niche for high added value products. The current supply, mainly supported by plants collected from the wild, cannot meet increasing market needs; therefore, it is of major importance to establish cropping protocols and further valorize wild plants for culinary and industrial applications. Sea fennel is a wild edible halophyte that is an important ingredient in local cuisines and is also used in folk medicine for its beneficial health effects. Its valorization has not been commercially explored on a great scale and more efforts are needed to integrate the species in farming systems. The present review compiles the most recent reports regarding the farming practices that could allow for the establishment of cultivation protocols for farmers, while the main constraints that hinder the further exploitation of the species are also presented. Moreover, this review presents the most up-to-date information regarding the chemical composition (e.g., chemical composition of the aerial parts and volatile compounds in essential oils) and the health-related effects of various plant parts (e.g., antimicrobial, insecticidal and anticholinesterase activities) aiming to reveal possible alternative uses that will increase the added value of the species and will contribute to its commercial exploitation. Finally, the future remarks and the guidelines that have to be followed are also discussed.