Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Rectenna for Microwave Energy Harvesting

In recent years, with the rapid development of 5G communications and wireless sensor networks have been applied in many fields, such as disaster management, infrastructure, monitoring, etc. At present, batteries are still the main power source for sensor nodes, but as the distributed environment of sensor networks becomes wider and more complex, battery maintenance and replacement will become a very difficult problem. In addition, with the development of micro-electromechanical systems and low-power electronic technologies, more and more small, low-power handheld mobile devices have appeared on the market. In addition, the battery itself has a limited lifespan, which can also cause environmental pollution. Using rectennas to power these devices with microwave energy in the environment will provide these devices with sustainable electrical energy and can also avoid environmental pollution from waste batteries.
Molecular Subtypes As Emerging Predictors of Clinicopathological Response to Neoadjuvant Chemotherapy (NACT) in Locally Advanced Breast Cancer (LABC): A Single-Centre Experience in Western India

Introduction: Locally advanced breast cancer (LABC) is a subset of breast cancer characterized by the most advanced breast tumours in the absence of distant metastasis. Treatment of LABC has evolved from a single modality treatment to multimodality management. Neoadjuvant chemotherapy (NACT) is increasingly being used to treat patients with LABC. This study assessed tumour response after NACT using clinical changes, Response Evaluation Criteria in Solid Tumors (RECIST) criteria and pathological report. Methodology: This study was a prospective as well as retrospective observational study carried out in the department of general surgery, Dr. Sampurnanand Medical College, Jodhpur. All the patients admitted with stage III (IIIA, IIIB, IIIC) were included in the study after obtaining approval from the institutional ethical committee. Clinical response was assessed by RECIST criteria (clinical complete response (cCR), clinical partial response (cPR), clinical progressive disease (cPD), and clinical stable disease (cSD)) and pathological response by histopathological report (pCR). Response of various molecular subtypes was noted. Results: Among 31 patients included in the study, cCR observed in 22.58% cases, cPR observed in 61.29% cases while cPD and cSD seen in 3.22% and 12.90% cases, respectively. Pathological complete response (pCR) observed in 19.35% cases. Favourable response seen with human epidermal growth factor receptor 2 (HER2) overexpression (cCR = 50%, pCR = 37.50%) followed by triple negative (cCR = 25%, pCR = 25%) molecular subtypes. Conclusions: It can be concluded that molecular subtype determination helps in deciding treatment protocol in patients with LABC with HER2 overexpression and triple-negative breast cancers having a better clinicopathological response to NACT than luminal subtypes. NACT results in downstaging of tumours, thus, help in achieving surgically clear margins and elimination of micrometastases which decreases the recurrence rates and morbidity/mortality of patients.
The decision-making determinants of sport tourists: a meta-analysis

ABSTRACT Although the number of studies on sport tourism has increased in recent years, there is a shortage of systematic reviews. This study meta-analytically investigated 40 correlation matrices on the determinants that affect the decision-making of sport tourists from the articles published in sport and tourism journals. By conducting a comprehensive meta-analysis, this paper revealed that the decision-making determinants of sport tourists include nostalgia, attitude, motivation, behavioural intention, event quality, destination image, tourist satisfaction, perceived value, future intention, destination loyalty, and place attachment. The correlations among these determinants were integrated into a framework with 16 hypotheses tested. This paper is the first meta-analysis of the determinants that affect the decision-making of sport tourists, thus providing implications for future research and sport tourism marketing and planning.
Pengaruh Kualitas Pelayanan Terhadap Keputusan Pembelian Indihome Fiber Pada PT. Telekomunikasi Indonesia, Tbk Subang

Abstrak Annisa Nursiva Agustin, 2020. “Pengaruh Kualitas Pelayanan Terhadap Keputusan Pembelian IndiHome Fiber Pada PT. Telekomunikasi Indonesia, Tbk Subang”. Skripsi. Jurusan Administrasi Bisnis, Fakultas Ilmu Administrasi, Universitas Subang 2020. Dibawah bimbingan Dr. H. Iwan Henri Kusnadi, S.Sos. , M.Si dan Dr. H. Ridwan, S.Sos. , M.Si. Penelitian ini bertujuan untuk mengetahui pengaruh Kualitas Pelayanan terhadap Keputusan Pembelian. Jenis penelitian yang dilakukan adalah explanatory dengan pendekatan kuantitatif. Jumlah sampel dalam penelitian ini berjumlah 92 orang responden yang merupakan karyawan PT. Telekomunikasi Indonesia, Tbk Subang. Teknik yang digunakan dalam pengambilan sampel ini menggunakan teknik instrument penelitian. Analisis data yang digunakan adalah Statistical Package for the Social Sciences (SPSS) dengan metode Deskriptif dan Asosiatif pengumpulan data dilakukan dengan cara penyebaran kuesioner yang telah diuji validitas dan reliabilitasnya. Berdasarkan hasil penelitian ini menunjukan bahwa Kualitas Pelayanan berpengaruh terhadap Keputusan Pembelian baik secara deskriptif maupun asosiaif. Dilihat dari hasil koefisien jalur atau factor loading dari variabel laten Kualitas Pelayanan terhadap variabel lain Keputusan Pembelian PT. Telekomunikasi Indonesia, Tbk Subang sebesar 0,889 dengan nilai t-hitung sebesar 1.525. Kata Kunci : Kualitas Pelayanan, Keputusan Pembelian Abstract Annisa Nursiva Agustin, 2020. "The Effect of Service Quality on Purchasing Decisions of IndiHome Fiber at PT. Telekomunikasi Indonesia, Tbk Subang ”. Essay. Department of Business Administration, Faculty of Administrative Sciences, Subang University 2020. Under the guidance of Dr. H. Iwan Henri Kusnadi, S.Sos. , M.Si and Dr. H. Ridwan, S.Sos. , M.Si. This study aims to determine the effect of Service Quality on Purchasing Decisions. This type of research is explanatory with a quantitative approach. The number of samples in this study amounted to 92 respondents who are employees of PT. Telekomunikasi Indonesia, Tbk Subang. The technique used in this sampling is using research instrument techniques. The data analysis used is the Statistical Package for the Social Sciences (SPSS) with descriptive and associative methods. Data collection is done by distributing questionnaires that have been tested for validity and reliability. Based on the results of this study, it shows that Service Quality affects Purchase Decisions both descriptively and associatively. Judging from the results of the path coefficient or factor loading of the latent variable Service Quality to other variables Purchasing Decision PT. Telekomunikasi Indonesia, Tbk Subang amounting to 0.889 with a t-count value of 1.525. Keywords : Service Quality, Purchasing Decision
An investigation into training needs analysis for technical staff within Libyan industrial companies

The development of competent technical staff for industrial companies is vital for a sustainable economy in Libya and is one of the key factors that will enable the industrial sector to grow. Thus, Libyan industrial companies (LICs) are able toidentify training needs for the preparation of training programmes for technicians. This study focuses on the verification of practice of Training Needs Analysis (TNA). According to the researcher's knowledge, no significant research has been conducted in Libya regarding TNA, although some studies have focused on training and development, technical and vocational education. Therefore, this study can be considered as the first of its kind and a contribution to existing knowledge in this field. The main purpose of this study is to understand the TNA process in LICs and to investigate how TNA is applied in practice. It aims to assess whether the concept of TNA can be applied to these companies' activities, and explores the application of TNA at the Libyan Iron and Steel Company (LISCO) and National Cement Company (NCC). This study employs a descriptive methodology, with two data collection methods used (qualitative and quantitative). The qualitative method involved a semistructured, face-to-face interview with managers responsible for training. Quantitative data collection used three forms of questionnaires to collect data from three key groups in the selected companies: technical staff, line managers and those responsible for training. Findings drawn from the interviews and questionnaires indicated that all respondents held similar views on the importance of TNA and its methods, and that the identification and analysis of training needs is an important requirement for success in any training programme. Participants also disclosed that these companies do not have a formal TNA system, and instead implemented it on a piecemeal basis rather than through a systematic long-term policy to address individual and tasks' needs. There is no comprehensive framework for all stages of the TNA process. The study's findings support a holistic approach to TNA. One of its key contributions was the development of a theoretical TNA framework in a Libyan context, which was based on western models (Blanchard and Thacker's, 2003 model and Goldstein and Ford's, 2002 model). This suggested framework details the critical factors that can enhance or hinder the success of the TNA process. Therefore, this study contributes to the development of TNA in the LICs and demonstrates that it has implications for both managers and practitioners, such as identifying training needs, nominating for training, and the selection of training programmes. Also, this research forms a basis upon which future research studies can be conducted.
Understanding and Designing for Security and Privacy in Multi-User AR Interactions

Augmented reality (AR), which overlays virtual content on top of the user’s perception of the real world, has now begun to enter the consumer market. Besides smartphone platforms, early-stage head-mounted displays such as the Microsoft HoloLens are under active development. Many compelling uses of these technologies are multi-user: e.g., in-person collaborative tools, multiplayer gaming, and telepresence. While prior work on AR security and privacy has studied potential risks from AR applications on a single user’s device, new risks will also arise among multiple human users. In this thesis, I explore the challenges that arise in designing secure and private content sharing for multi-user AR. Grounded in ﬁndings from a qualitative study of users’ security-and privacy-relevant perceptions in multi-user AR contexts, I analyze the design implications of coexisting and competing functionality and security needs. My collaborators and I formulate representative application case studies and systematize design goals for security and functionality that a multi-user AR platform should support. We ﬁnd that AR’s unique security and privacy design challenges hinge on the integration of virtual content with 3D physical space. With this key point in mind, we design an AR content sharing control module that achieves these goals and build a prototype implementation (ShareAR) for the HoloLens. This thesis builds a foundation for enabling secure and private multi-user AR interactions.
The First Workshop on Commonsense Representation and Reasoning May 27 , 2022

Knowledge graphs are often used to store common sense information that is useful for various tasks. However, the extraction of contextuallyrelevant knowledge is an unsolved problem, and current approaches are relatively simple. Here we introduce a triple selection method based on a ranking model and find that it improves question answering accuracy over existing methods. We additionally investigate methods to ensure that extracted triples form a connected graph. Graph connectivity is important for model interpretability, as paths are frequently used as explanations for the reasoning that connects question and answer.
Aging effect on successful reactive-recovery from unexpected slips: A 3D lower extremity joint moment analysis

The objective of the proposed study was to perform three-dimensional (3D) inverse dynamics analysis to determine lower extremity (ankle, knee and hip) joint moments on previously collected slip perturbation experimental data. In addition, the aging effect on joint moment generation in both normal walking and reactive-recovery conditions was examined. Dataset collected during previous slip and fall experiments, which were conducted in a typical gait analysis setting, were analyzed in current study. All the participants were subjected to the screening criteria, which defined the successful reactive-recovery (i.e. non-fall trials) based on slip distance, sliding heel velocity, whole body COM velocity, and motion pictures. Nine young and nine old healthy participants, who were identified possessing representative trials, were involved as participants in current study. A local coordinate system was constructed on each joint and each segment of the lower extremity based on available landmarks using the Gram-Schmidt orthogonalization algorithm. 3D inverse dynamics was implemented to obtained lower extremity joint moments. Magnitude and timing of obtained joint moment patterns during stance phase were subjected to one and two-way analysis of covariance (ANCOVA) with walking velocity as covariate. The aging effect and gait condition effect were evaluated. Increases in peak joint moment, peak joint power, and joint moment generation ratio were detected in successful reactive-recovery. Distinct age-related joint moment generation strategy was observed through findings of peak joint moment ratio and joint
Involvement Of Reactive Oxygen Species (ROS) And Coagulation In Coronaviral Infection

Coronaviral infection induces various molecular network pathways. Coronavirus pathogenesis pathway is involved in molecules in production of reactive oxygen species (ROS), oxidative stress responses and coagulation system. Several literatures have revealed the association of ROS and coagulation in infection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this Editorial, the involvement of ROS and coagulation in coronavirus infectious disease (COVID)-19 pathogenesis is summarized.
PISCES biogeochemical

PISCES is a biogeochemical model which simulates the marine biological productivity and that describes the biogeochemical cycles of carbon and of the main nutrients (P, N, Si, Fe). Historically, this model can be seen as one of the many Monod models (Monod , 1942) by opposition to the quota models (McCarthy , 1980; Droop, 1983), the other big family of ocean biogeochemical model. Thus, it assumes a constant Redfield ratio and phytoplankton growth depends on the external concentration in nutrients. This choice was dictated by the computing cost as describing the internal pools of the different elements requires many more prognostic variables. And PISCES was supposed to be suited for a wide range of spatial and temporal scales, including quasi-steady state simulations on the global scale. However, when modeling silicate, iron and/or chlorophyll, assuming constant ratios is not justified anymore as these ratios can vary a lot. For instance, the Fe/C ratio can vary by at least an order of magnitude to be compared to the N/C ratio which varies by “only” two times. Thus, in PISCES, a compromise between the two classical families of ocean model was chosen. The elemental ratios of Fe, Si and Chl are prognostically predicted based on the external concentrations of the limiting nutrients like in the quota approach. On the other hand, the phytoplankton growth rates also depends on these external concentrations as in the Monod approach. Historically, the development of this model started in 1997 with the release of the P3ZD model which was a simple NPZD model with semi-labile DOM (Aumont , 1998; Aumont et al., 2002). Phytoplankton growth rate was only limited by one nutrient, basically phosphate. However, many deficiencies in this model, especially in the HNLC regions, justified the development, in 1999, of a more complex model including three limiting nutrients (Fe, Si, P), two phytoplankton and two zooplankton size-classes. This model was called HAMOCC5 (Aumont et al., 2003) as it was based on HAMOCC3.1 (Six and Maier-Reimer , 1996) and used in the LSG model (Maier-Reimer et al., 1993). The embedding of this code in the ocean model OPA (Madec et al., 1998) required some major changes and improvements, partly because of the much finer vertical resolution. Beside the numerical schemes, these changes were mostly an improved treatment of the optics and the splitting of the particulate organic matter into two different size-classes. All these changes and the major recodings it required lead us to adopt a new name for the model: PISCES. This name can be translated as fishes from Latin. It can also be considered as an acronym, but its meaning is much less poetic and will not be explained here as it is not really essential.
Extracting Insights from Reviews using Cluster Analysis

The top operating organizations understand an essential role that customer feedback plays in the business industry. These businesses then consistently listen to the feedbacks of the consumers to stay ahead in the competition. Customer feedback gives crucial insights into the workings of the product, services, and what could be done within the company’s domain to make the experiences of the consumers better. Customer’s opinions help the companies ensure that the final product actually shall suffice their expectations, solve their problems and meet their needs. Hence, the customer feedback is one of the most reliable and easy to get sources for tangible data that can also be used in making wise business decisions. The proposed approach provides a method to make effective use of this feedback and generate insights for the Product Team. Since it is not feasible to go through all reviews to find out what the customers are talking about, the reviews are clubbed together by Topic Modelling approach. The Business Team is presented with top keywords corresponding to each group of reviews which makes it easy for them to find out the actionable areas. The way the results are presented to the team guides them in the right direction so as to improve their products and services. A model is generated once the reviews have been labelled with topics. This is helpful to classify the new reviews which keep on coming from the customers’ end. The Topic Modelling algorithm is again followed once the team has good number of new reviews which will further help in improving the model.
A review on current status of essentiality and toxicity of nickel in food crops

: Nickel (Ni) is an essential micro-nutrient for plants. However, very low amount of nickel is required for normal plant growth. Therefore, it is important to understand the function and toxic effects of nickel in plants as the level of nickel pollution in the environment increases. Based on available data, Ni has been identified as a component of various enzymes in plants and has a decisive metabolic role in certain enzymatic activities, such as maintaining proper cellular redox state. This review paper is based on an overview of the data available over the past 20 years, with the core content including the adverse morphological, physiological and biochemical effects of Ni stress in plants. The purpose of this review is to cover the occurrence and sources of nickel, its dimensions of essentiality and toxic effects due to oxidative stress in food crops.
Evidence, Myths and Teaching Practices: The Case of Teaching Reading in Italian Schools

Summery- Scientific research into the best methods of teaching reading agrees that all pupils can benefit from a rigorous phono-syllabic approach. Nevertheless, global or ideo-visual methods exert a strong appeal to teachers and maintain a wide prevalence in teaching practices, even where the language has a high transparency as in the case of Italian. This paper presents the results of an experiment conducted in Italy that shows the significant advantages for teaching reading deriving from the use of a phono-syllabic, progressive, explicit and systematic method. It underlines the need for institutional decision-makers and authors of school textbooks to take into account the evidence achieved by research and to avoid chasing methodologies superficially attractive but less effective, if not harmful, in such a significant field of early school education. Summary- Scientific research into the best methods of teaching reading agrees that all pupils can benefit from a rigorous phono-syllabic approach. Nevertheless, global or ideo-visual methods exert a strong appeal to teachers and maintain a wide prevalence in teaching practices, even where the language has a high transparency as in the case of Italian. This paper presents the results of an experiment conducted in Italy that shows the significant advantages for teaching reading deriving from the use of a phono-syllabic, progressive, explicit and systematic method. It underlines the need for institutional decision-makers and authors of school textbooks to take into account the evidence achieved by research and to avoid chasing methodologies superficially attractive but less effective, if not harmful, in such a significant field of early school education.
Riboflavin transporter-2 ( rft-2 ) of Caenorhabditis elegans : Adaptive and developmental regulation

Riboflavin transporters ( rft-1 and rft-2 ), orthologous to human riboflavin transporter-3 (hRVFT-3), are identified and characterized in Caenorhabditis elegans . However, studies pertaining to functional contribution of rft-2 in maintaining body homeostatic riboflavin levels and its regulation are very limited. In this study, the expression pattern of rft-2 at different life stages of C. elegans was studied through real-time PCR, and found to be consistent from larval to adult stages that demonstrate its involvement in maintaining the body homeostatic riboflavin levels at whole animal level all through its life. A possible regulation of rft-2 expression at mRNA levels at whole animal was studied after adaptation to low and high concentrations of riboflavin. Abundance of rft-2 transcript was upregulated in riboflavin-deficient conditions (10 nM), while it was downregulated with riboflavin-supplemented conditions (2 mM) as compared with control (10 μ M). Further, the 5 ′ -regulatory region of the rft-2 gene was cloned, and transgenic nematodes expressing transcriptional rft-2 promoter:: GFP fusion constructs were generated. The expression of rft-2 was found to be adaptively regulated in vivo when transgenic worms were maintained under different extracellular riboflavin levels, which was also mediated partly via changes in the rft-2 levels that directs towards the possible involvement of transcriptional regulatory events.
Towards Supervised Learning of Optimal Replenishment Policies

We propose a supervised learning algorithm for the multi-period inventory problem (MPIP) that tackles shortcomings of existing multi-step, model-based meth-ods on the one and policy-free reinforcement learning algorithms on the other hand. As a model-free end-to-end (E2E) method that takes advantage of auxiliary data, it avoids pitfalls like model misspeciﬁcation, multi-step error accumulation and computational complexity induced by a repeated optimization step. Furthermore, it manages to leverage domain knowledge about the optimal solution structure. To the best of our knowledge, this is one of the ﬁrst supervised learning approaches to solve the MPIP and the ﬁrst one to learn policy parameters. Given the variety of settings in which OR researchers have developed well-performing policies, our approach can serve as a blueprint of how to design E2E methods that leverage that knowledge. We validate our hypotheses on synthetic data and demonstrate the effect of individual model characteristics.